May 8, 2025

Tracking Sasquatch with the Sasquatch Data Project

Tracking Sasquatch with the Sasquatch Data Project
Tracking Sasquatch with the Sasquatch Data Project
The Broadcasting Seeds Podcast
Tracking Sasquatch with the Sasquatch Data Project

In this episode of Broadcasting Seeds, we venture deep into the misty forests of the Pacific Northwest with the Sasquatch Data Project. Blending folklore, field research, and data science, our guests share how they're using modern technology to...

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Apple Podcasts podcast player iconSpotify podcast player iconRSS Feed podcast player iconYouTube podcast player iconRumble podcast player iconSpreaker podcast player icon

In this episode of Broadcasting Seeds, we venture deep into the misty forests of the Pacific Northwest with the Sasquatch Data Project. Blending folklore, field research, and data science, our guests share how they're using modern technology to explore one of North America's most enduring mysteries — the elusive Sasquatch. We discuss the origins of the project, the challenges of collecting credible evidence, and what it means to seek truth in a world full of myths. Whether you're a skeptic, a believer, or just curious, this conversation invites you to think critically, stay curious, and keep your ears open in the woods.

Links: https://linktr.ee/sasquatchdata

Become a supporter of this podcast:https://www.spreaker.com/podcast/the-broadcasting-seeds-podcast--6402290/support.

WEBVTT

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All right, we are live, not actually live, but live recording.

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So tell us who you are and what you do.

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Yeah, So my name is Terrestrial.

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I run the Sasquatch Data Project, which is basically my

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attempt at parsing all of the BFRO reports. Initially I

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want to move into other data sets too and stuff,

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but basically putting those witness reports into a format that's

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optimized for data analysis, in particularly statistical analysis. So that's

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I guess what the essence of what I do in

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regards to Bigfoot.

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So yeah, and it's amazing. Frankly, I like this has

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been long coming in my opinion.

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Yeah, it's something that's really needed to be done, like

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so bad.

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Right for sure, Like I remember, we would set so

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we actually started, me and a couple of friends started

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a nonprofit kind of in the idea of going this direction.

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We just could never really make it happen like you have.

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So but with that being said, you know, we would

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just sit and always wonder, like, well, how many sightings

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like within, like you know, certain certain geographical areas have

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there been of like blonde sasquatches, you know, things like that,

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And yeah, I think it matters, you know that stuff

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matters for sure.

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Oh yeah, definitely, And I agree that this is something

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that has really needed to be done at least on

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the BFROO data set and any other data sets too.

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Have started to incorporate like NAWAS North America Weddy Conservancies

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data set and stuff into the Sasquatch Data Project data set.

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But I know that there has been some analysis done

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on that John Green's data set.

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Yeah, Faron Box, I've you know, he's gone into it.

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And there's another doctor that's it's escaping me what his

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name is. But he actually did, Like I was reading

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his paper the other day and it was extremely in

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depth into John Green's data set. But we really need,

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you know, we really needed someone to dive into this,

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into the BFRO stuff too, because like there's so much

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information there that hasn't been tapped.

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Yeah, so so much. Yeah, I see your casts behind you.

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Those are amazing.

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I love the footprint casts. They're one of my favorite

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things to collect.

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Awesome. Yeah, where do you get them? Usually? Are they yours?

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Or no?

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I haven't taken these. These are all I think most

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of them are like first gen copies of casts. All

48
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of these came from the North American Bigfoot Center. Okay,

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so I ordered them online.

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Yeah, I got it. I've got of course, I don't

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have it displayed. I don't know why not. I've got

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one from them as well. So pretty cool, all right,

53
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So what what got you into this whole high strangeness,

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bigfoot sasquatch? You know, this whole this you know because

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we're a giant genre, really and it bleeds into so

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many different things. So what got you into this in

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the first place?

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Really?

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Well, I think it's a funny story. We'll see.

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When I was like five years old, my dad, I'll

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start off with this. He has always been kind of

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interested in like more paranormal stuff, like ghosts and that

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kind of thing. So I have this really vivid memory

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of being like five years old. I'm sitting on the

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couch with my dad and we have been watching TV

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all day because he was like prepping for a cold

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off the next day, so he was like, so he's

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so we were just watching TV and we had it

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on the Discovery Channel. So we had been watching like

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ghost shows and we had been watching all that kind

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of stuff. But then Doug Hicheck's Sasquatch Legend Meete Science

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came on and that's where I saw the Patterson Gimlin

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film for the first time, and I just remember my

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brain like exploding. I was like, this is the most

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magnificent yet mortifying thing I've ever seen in my whole life.

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So that's like what kicked off, at least my interest

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for Bigfoot. So like while my dad was fighting for

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his life next to me, I was like having my

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whole life, uh.

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Just kind of I don't know we'd be lined for

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this Bigfoot thing.

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But that's kind of how I got kicked off and started,

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and I've always been interested in it. Life kind of

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took me a different way though. I went down like

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a planetary science path for a while and then I

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kind of came back.

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So yeah, yeah, that's pretty awesome. That's a funny story.

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It's good. Of course, I don't check had something to

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do with it, because it feels like his body of

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work has something to do with everybody's introduction, right, and

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Patterson Gimlin, to me, it's one of those things that's

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never been in question, like I, you know, I just don't.

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I think it's legit as it gets, and yeah, it's

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pretty amazing.

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It is. It's an amazing piece of footage, and I

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know that one of the things is, like people always say,

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you know, we've never been able to disprove it, so

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we can't count it out, which is true.

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We've never been able to disprove it.

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But I will say there are some interesting things that

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I've seen, at least.

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In the footprint data that also, like kind of, at.

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Least in my mind, point to its legitimacy, because I

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know a lot of people have a problem with Patty's

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new height estimate being you know, smaller than what people

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have at least assumed sasquatches were. But just from some

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things that I've seen in the footprint data, and I've

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kind of touched on it on some stuff I've posted online,

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but you know, her height actually isn't really that big

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of an issue. It actually falls quite well into at

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least with the footprint data suggests. So, yeah, I love

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the Patterson Gimblin film. It's I have a pit, that's

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I have Patty on the wall.

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Oh I see it there? Yeah? Yeah? So what so after?

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So what when did you start doing this? When did

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you start crunching this data? And I'll say crunching correct

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me if I'm.

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You know, oh no, you're good. Yeah. So I started

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the Sasquatch Data Project in twenty twenty three. It's something

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that I had had in the back of my mind

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for a couple of years, especially when COVID happened.

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And I was like, man, I got all this time.

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Like what should what can I do? And yeah, So

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I kind of had this like idea, actually got this

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idea when I was in college, but at the time

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I was working on NASA's dominission and that was like

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taking all of my focus was working on that, trying

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to get through college and that kind of thing. So

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once I graduated, I realized I wanted to do something else.

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And I don't know, it's been kind of a winding path,

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but eventually I ended up with like, well, my true

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passion in life is researching sasquatches. I don't live in

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a great place to go out into the field and

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do that. How can I do that? You know with

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my skills and resources? And well, I.

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Really love math, I really love data analysis. I might

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as well do this.

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So that's kind of how I got started with just

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creating the Sasquat State of project.

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Do you ever go out in the field, So.

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Yeah, I grew up in Northeast Georgia. I actually grew

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up like ten minutes away from where they fill in

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the first Fining Bigfoot episode. And I've had some really

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weird things happen on my parents' property because I owned

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about twenty five acres and it backs up to like

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two hundred acres of just nothingness. So whenever I go

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visit them, I will. I basically spend all of my

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time in the woods, like looking. I have an audio

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recorder going twenty four to seven, and I did a

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like three month long audio project when I was there.

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I went and spent like three months with them last year.

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So I'll do stuff like that when I can. But

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most of my work is, unfortunately but fortunately behind a computer.

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I got you, Hey, somebody's got to do all the stuff, right,

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So it's not it.

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Yeah, there's a place for everyone.

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There's a place for everyone for sure. So what data

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if we take this just starting down, what what is

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the most shocking data that that you found, like that

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that in your opinion, that is kind of like hit

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you and you're like wow, you know, I mean, and

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it doesn't have to just be one, it can be

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you know whatever. But stuff that shocked you.

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I would say, hmm. The first thing that came to mind,

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and probably because we kind of touched on it, is

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like this clustering of different hair colors is pretty interesting.

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There is a definite cluster of h well, blonde stasquatches

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in Alabama, which is very unusual, at least to me.

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And there's particular clusters of white and gray sasquatches also

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in Alabama, but more so in the South versus the

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Western United States.

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So that itself, I thought was very interesting.

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Also, the difference in like red brown sasquatch reports is

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statistically significant significant between the western and Southern United States

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as well, where the South has more reports. So stuff

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like that's very interesting to me because those are just

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like little little differences that wouldn't be super obvious if

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you were like poaxing or like if all these reports

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were just like this massive hoaxing campaign or whatever. Like

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that's very odd.

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That's very screen enough nuance that you're like.

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Right, So that's been interesting. Probably one of my favorite

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things lately to think about and to talk about is

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this other thing I've seen in the data where basically

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through and categorized witness fear levels from no fear to extreme,

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and there's like five different categories no fear, mild, moderate, elevated, extreme.

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But I found in.

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Class A sightings, as witness fear level increases, so does

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the average height of the Sasquatch, and that difference in

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height between the extreme and the mild group is statistically significant.

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That was shocking because that not only brings into like

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consideration of Okay, well, if this is like a massive

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hoaxing campaign, they would have had to coordinated that over

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hundreds of reports over you know, a sixty year time

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span and seventeen different states, Like that's crazy. But it

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also plays into human psychology. You know, when witnesses or

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when humans are scared they perceive these they can perceive

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the stimulus as larger than it actually is, sometimes up

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to thirty percent larger.

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And that's pretty significant.

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It's very significant, especially when we're talking about like I

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think the figure was eighty percent of Sasquatch heights eight

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and a half feet or more that were estimated from

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the witness happened in these elevated and extreme fear groups.

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So that's at least.

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It's actually that's a pretty big deal.

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Yeah, So I don't know.

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It was shocking for me at the data nerd.

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It's like like shocking, like, uh, I don't know, the

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sasquatch is doing something crazy.

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Usually the reports are pretty mundane, and if I'm honest.

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Right, yeah, I find that a lot of people. Yeah,

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it's it's almost like I can only imagine how many

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reports aren't made. Oh yeah, because I know for a fact,

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like I've had a few encounters myself personal and I

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feel like until that muscles like stimulated in my brain,

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like I start thinking about it, right that I almost

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don't think about it. It's not like it But then

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if I really look at it, is it was one

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of the incidents was pretty traumatic, right, Yeah, maybe that's

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why I compartmentalize it. But with that being said, I'm

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wondering fear factor. The hot, the taller they get, the

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scarier they are, right.

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And that's one you know, that's another component of it.

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It could be that you know, larger animal elicits a stronger.

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Fear reaction because not only do we talk and as data,

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you know, like what for every foot of height, I

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can only imagine what the correlation to weight would be,

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and that would also correlate to withd just so massive

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sheer size, Like the difference between like a like a

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like a six foot polar bear and an eight foot

232
00:15:08.639 --> 00:15:12.679
polar bear is like five pounds.

233
00:15:12.879 --> 00:15:14.279
You know, maybe a lot.

234
00:15:14.600 --> 00:15:17.480
Yeah, so you know what I mean. So I'm saying,

235
00:15:17.519 --> 00:15:22.799
so just overwhelmed size. But what about fear factor like geographically?

236
00:15:22.879 --> 00:15:24.639
Do you have data on that or not?

237
00:15:25.080 --> 00:15:27.159
You know, I haven't looked at that. I haven't looked

238
00:15:27.159 --> 00:15:31.840
at how fear might differ between regions. I could, I

239
00:15:31.840 --> 00:15:34.919
definitely I have enough data to do that for sure.

240
00:15:36.039 --> 00:15:36.759
That's really interesting.

241
00:15:36.799 --> 00:15:38.519
I haven't thought about looking at it regionally.

242
00:15:39.759 --> 00:15:48.519
Yeah, I wonder because I don't know what about latitude

243
00:15:48.759 --> 00:15:50.240
and size?

244
00:15:50.559 --> 00:15:55.440
Okay, so I've kind of I've kind of looked at this.

245
00:15:55.679 --> 00:15:58.519
I haven't looked at latitude specifically. I have looked at

246
00:15:58.559 --> 00:16:02.159
size differences between I have a tendency to break up

247
00:16:02.200 --> 00:16:06.799
my data analysis, at least for now, into regions because

248
00:16:06.919 --> 00:16:12.039
I don't have enough data really for statistical analysis, you need, like,

249
00:16:12.360 --> 00:16:15.159
you know, a lot of data. So really I have

250
00:16:15.279 --> 00:16:18.879
enough to do it regionally. The high differences between reported

251
00:16:18.879 --> 00:16:22.639
sasquatches from the southern USA and the Western USA actually

252
00:16:22.720 --> 00:16:29.519
do not differ statistically really In fact, the southern Sasquatches

253
00:16:29.600 --> 00:16:32.960
were slightly larger or at least estimated to be slightly

254
00:16:33.039 --> 00:16:35.399
larger than those of the West, which I found very

255
00:16:35.440 --> 00:16:38.639
interesting because we have this idea, at least that gets

256
00:16:38.639 --> 00:16:41.759
talked about a lot in the community that the Sasquatches

257
00:16:41.759 --> 00:16:44.759
in Oregon and you know, these the at least the

258
00:16:44.799 --> 00:16:47.759
Pacific Northwest are larger than those seen in the South.

259
00:16:47.799 --> 00:16:50.200
But so far, and that could change.

260
00:16:50.279 --> 00:16:53.759
I haven't seen that, and I've actually seen the opposite.

261
00:16:53.519 --> 00:16:56.240
Really, yep, the opposite.

262
00:16:57.200 --> 00:16:58.120
So that was surprising.

263
00:16:58.320 --> 00:17:02.080
Yeah, that's kind of surprising because allegedly, you know, like

264
00:17:02.360 --> 00:17:05.400
the and I'll just call it the skunk Gabe are

265
00:17:05.599 --> 00:17:12.440
almost always considered smaller, right, but the data might not

266
00:17:12.960 --> 00:17:17.200
pick that or might not be right right right.

267
00:17:19.359 --> 00:17:22.240
I think it's a at least at this point, and

268
00:17:22.279 --> 00:17:24.519
I haven't gone through all the reports. I've only gone

269
00:17:24.519 --> 00:17:28.839
through sixteen hundred I have, you know, a couple thousand

270
00:17:28.960 --> 00:17:33.920
more to go, so things could definitely change. But I

271
00:17:33.960 --> 00:17:38.160
do have a pretty good I do have a pretty

272
00:17:38.160 --> 00:17:43.400
good mix of reports from southern and western states to

273
00:17:43.480 --> 00:17:45.759
where we can start getting an idea of like these

274
00:17:45.799 --> 00:17:50.079
regional differences and that was one that really surprised me

275
00:17:50.160 --> 00:17:52.839
because that is an idea that gets talked about a lot.

276
00:17:55.000 --> 00:18:00.519
Yeah, so talking to Scott to Scott Toms on the

277
00:18:00.519 --> 00:18:05.240
Bigfoot Mapping project, we talked about him earlier before we

278
00:18:05.359 --> 00:18:11.039
started this, but his his data is showing right now

279
00:18:11.160 --> 00:18:18.359
that as it stands for sightings, reported sidings right now,

280
00:18:19.359 --> 00:18:23.480
that he's got more coming from Pennsylvania than anywhere else.

281
00:18:24.279 --> 00:18:25.319
Really, that's interesting.

282
00:18:25.680 --> 00:18:30.200
Yeah, so I'm wondering if you have anything that corroborates that,

283
00:18:30.559 --> 00:18:32.279
or maybe you know.

284
00:18:32.640 --> 00:18:36.599
Well the reports. I know that I know that he

285
00:18:36.720 --> 00:18:38.039
takes reports right like you can.

286
00:18:38.440 --> 00:18:39.599
He takes reports as well.

287
00:18:39.680 --> 00:18:42.519
Yes, so I don't really take reports. I just am

288
00:18:43.119 --> 00:18:47.000
going off of the bf A website. So the majority

289
00:18:47.000 --> 00:18:50.440
of the reports are from California, Washington, Texas, that kind

290
00:18:50.480 --> 00:18:50.759
of thing.

291
00:18:51.680 --> 00:18:53.839
But I haven't seen Pennsylvania. That's interesting though.

292
00:18:53.920 --> 00:18:56.680
I do know that it's a great location. It does

293
00:18:56.680 --> 00:19:00.839
seem very viable for Sasquatches to live in. Interesting.

294
00:19:01.240 --> 00:19:07.160
Yeah, Western Pennsylvania from basically like just east of Pittsburgh

295
00:19:07.200 --> 00:19:11.440
all the way across even in into Ohio. There's just

296
00:19:11.480 --> 00:19:19.519
like this big blob. It's it's pretty substantial. So yeah,

297
00:19:19.559 --> 00:19:21.119
and That's where I happen to do a lot of

298
00:19:21.160 --> 00:19:27.440
my research is the allegating national forests. And there's definitely

299
00:19:27.480 --> 00:19:31.519
an uptick, and there's definitely an uptick in activity. I

300
00:19:31.559 --> 00:19:35.480
think maybe it's because there's more people actually looking. Maybe

301
00:19:36.599 --> 00:19:41.359
maybe there's just a you know, it's the stigma aspect too,

302
00:19:41.400 --> 00:19:46.039
I think is down, meaning where people are more apt

303
00:19:46.240 --> 00:19:51.079
to give their make their sightings known.

304
00:19:51.799 --> 00:19:52.359
Yeah.

305
00:19:52.720 --> 00:20:04.279
So yeah, So I'm trying to think I saw I'm

306
00:20:04.319 --> 00:20:06.039
trying to find it. That's sort of been trying to

307
00:20:06.599 --> 00:20:10.880
trying to find something that you had put out about, oh,

308
00:20:11.319 --> 00:20:15.119
the probability of this being real. I know that you

309
00:20:15.119 --> 00:20:21.480
would put out some data that basically was like, uh, yeah,

310
00:20:21.559 --> 00:20:24.799
it's real. There's like a ninety eight percent chance or

311
00:20:24.839 --> 00:20:27.720
something like that. And I and I'm just speaking off

312
00:20:27.720 --> 00:20:31.880
the cuff, but I'll let you answer what the data says.

313
00:20:32.440 --> 00:20:39.359
So I I recently released a paper. I've been working

314
00:20:39.359 --> 00:20:40.839
on it for months and months.

315
00:20:41.000 --> 00:20:42.359
The statistical case.

316
00:20:42.559 --> 00:20:46.559
That's yes, there we go, Yeah, the statistical case for sasquatch.

317
00:20:46.920 --> 00:20:51.079
So this paper is diving into I look at three

318
00:20:51.119 --> 00:20:57.039
different variables within sasquatch reports. I'm looking at moon illumination

319
00:20:57.160 --> 00:20:58.640
percentages during.

320
00:20:58.359 --> 00:21:01.279
The encounter season of the encounter.

321
00:21:01.640 --> 00:21:05.559
And also I tie in this witness sphere in relation

322
00:21:05.680 --> 00:21:12.160
to simated SASCO tight component as well. So what by

323
00:21:12.240 --> 00:21:17.799
looking at these variables, it's well, let me back up

324
00:21:17.839 --> 00:21:20.799
a little bit. These variables are independent from one another,

325
00:21:20.920 --> 00:21:23.960
which is also very powerful. One does not influence the other.

326
00:21:24.759 --> 00:21:33.319
So if you can basically find the probability that one happens,

327
00:21:33.799 --> 00:21:37.519
if you have a subset of all of the reports

328
00:21:37.559 --> 00:21:39.880
in which you have data for each of the variables,

329
00:21:40.039 --> 00:21:42.559
you can then calculate, Okay, so what's the probability that

330
00:21:42.680 --> 00:21:46.119
all of these things would happen simultaneously at the same time?

331
00:21:47.160 --> 00:21:51.359
And so this well due to random chance, right, So it's.

332
00:21:51.160 --> 00:21:52.599
Very data nerd of you.

333
00:21:52.920 --> 00:21:55.960
Well I know, I'm like the ultimate data nerd, so

334
00:21:57.319 --> 00:22:02.640
very very proud. But you can basically like factor stack, right,

335
00:22:03.000 --> 00:22:08.359
And it turns out that all of these things that

336
00:22:08.400 --> 00:22:12.960
we see are statistically significant. So if you're only looking

337
00:22:12.960 --> 00:22:19.599
at Class A siding reports and you basically only grab

338
00:22:19.680 --> 00:22:21.799
the reports where all of these things are mentioned and

339
00:22:21.839 --> 00:22:24.000
I have data on it kind of whittles down that

340
00:22:24.119 --> 00:22:26.839
sixteen hundred Well, at the time of writing, fifteen hundred

341
00:22:26.880 --> 00:22:30.279
reports to one hundred and ninety one class A siding reports.

342
00:22:30.480 --> 00:22:34.640
That's enough to do statistical analysis on, that's fine.

343
00:22:35.440 --> 00:22:37.119
And what I found was.

344
00:22:37.039 --> 00:22:43.000
That the frequencies in which sightings were reported under high

345
00:22:43.039 --> 00:22:49.640
mood illumination meaning greater than fifty percent, was statistically significant

346
00:22:49.640 --> 00:22:53.240
compared to those that happened in the lower frequencies. They

347
00:22:53.279 --> 00:22:56.519
were more frequently happening in these higher mood illumination conditions.

348
00:22:57.240 --> 00:23:02.440
Seasonality wise, summer and fall where extremely dominant there, and

349
00:23:02.559 --> 00:23:07.079
also you know, significant compared to the winter and spring,

350
00:23:07.240 --> 00:23:09.960
which is interesting and we can kind of get into that.

351
00:23:11.079 --> 00:23:13.480
And then, as we talked about earlier, this witness fear

352
00:23:13.559 --> 00:23:18.559
height thing that still stood even with the filtered data set.

353
00:23:18.680 --> 00:23:22.079
As witness fear level went up, the estimated sasquatch height

354
00:23:22.079 --> 00:23:28.599
went up, and it was significant. So basically, in statistics,

355
00:23:28.640 --> 00:23:31.720
like you can, you have this thing called a P value,

356
00:23:31.920 --> 00:23:36.920
which is essentially the probability that this pattern that you're

357
00:23:36.920 --> 00:23:40.519
seeing would occur due to random chance. So if you

358
00:23:40.680 --> 00:23:43.799
just threw spaghetti out of wall's the chance that it

359
00:23:43.799 --> 00:23:47.839
would fall in this pattern. And for all of these variables,

360
00:23:47.920 --> 00:23:49.799
I found that it was, you know, far less than

361
00:23:49.799 --> 00:23:51.160
five percent that's great.

362
00:23:51.160 --> 00:23:52.359
That's a standard threshold.

363
00:23:53.119 --> 00:23:57.799
So if you basically do some like data magic and

364
00:23:58.279 --> 00:24:00.680
combine all the probabilities to get your like your final

365
00:24:01.200 --> 00:24:05.839
combined probability that all of these patterns would occur simultaneously

366
00:24:06.000 --> 00:24:09.880
at the same time, the chances are like one to

367
00:24:10.039 --> 00:24:17.519
ninety eight thousand, which is crazy. That's not gonna happen.

368
00:24:17.920 --> 00:24:21.799
What did you say, you're six times more likely. Yeah,

369
00:24:21.960 --> 00:24:23.559
you're struck by lightning in.

370
00:24:23.480 --> 00:24:27.519
Your lifetime in your house. Yeah, then have this happen.

371
00:24:28.839 --> 00:24:32.480
And so that that was like crazy for me because

372
00:24:32.519 --> 00:24:35.480
when you're talking about I guess just to back up

373
00:24:35.519 --> 00:24:38.279
a little bit, when we're talking about these patterns occurring

374
00:24:38.759 --> 00:24:44.000
as the result of random chance, really, you know, to

375
00:24:44.119 --> 00:24:46.680
apply this to our subject. We're talking about if people

376
00:24:46.680 --> 00:24:51.160
are randomly fabricating reports, if these are all random hoaxes,

377
00:24:52.200 --> 00:24:56.519
assuming that people don't have a general knowledge of you know,

378
00:24:57.200 --> 00:25:03.799
ecological patterns and you know psychological phenomena that happen, what

379
00:25:03.880 --> 00:25:07.799
are the chances that you know, these patterns will emerge.

380
00:25:08.160 --> 00:25:12.720
And that's where it becomes very powerful because once you

381
00:25:12.759 --> 00:25:15.039
also realize too, it's like, okay, so what are the

382
00:25:15.119 --> 00:25:18.720
chances that this is a huge Coordinated Hosting scheme where

383
00:25:19.480 --> 00:25:24.400
sixty years ago over you know, seventeen states that all

384
00:25:24.440 --> 00:25:28.000
these reports came from, they decided, this is the pattern

385
00:25:28.000 --> 00:25:30.119
we're going to follow. You're gonna say this, you're gonna

386
00:25:30.119 --> 00:25:31.759
say this, You're going to say this, so that we

387
00:25:31.799 --> 00:25:36.000
can make these patterns happen. And also important to admit

388
00:25:36.119 --> 00:25:39.519
these patterns follow known animal behaviors.

389
00:25:39.640 --> 00:25:41.440
I guess that's a significant part too.

390
00:25:41.400 --> 00:25:45.359
Like, like, it's stuff we would at least from a

391
00:25:45.359 --> 00:25:51.240
biological perspective expect and in other cases not expect, Like

392
00:25:51.279 --> 00:26:00.200
the spring lull and siding reports is quite interesting. So yeah,

393
00:25:59.599 --> 00:26:01.240
I don't know, it's just it's cool.

394
00:26:02.039 --> 00:26:05.279
Yeah, for sure. I mean winter, I get right, But

395
00:26:05.359 --> 00:26:06.160
why spring?

396
00:26:06.240 --> 00:26:11.279
I wonder spring is odd because we would typically we

397
00:26:11.319 --> 00:26:16.000
see predators increase their activities and just animals in general

398
00:26:16.079 --> 00:26:18.480
increase their activities during spring because you know, in the

399
00:26:18.480 --> 00:26:23.839
winter they were uh either hunkered down somewhere, you know,

400
00:26:23.920 --> 00:26:25.319
food was extremely limited.

401
00:26:25.440 --> 00:26:27.279
So during the spring.

402
00:26:28.519 --> 00:26:31.119
I guess cornucopia, if you want to call it, that

403
00:26:31.359 --> 00:26:34.240
we see this increase in animal activities. So it's pretty

404
00:26:34.240 --> 00:26:38.200
interesting that, uh, that we don't see that in citing reports.

405
00:26:39.160 --> 00:26:40.799
You know, could be a human thing.

406
00:26:41.839 --> 00:26:45.559
But like, I know, me, I know what, I'm like

407
00:26:45.720 --> 00:26:47.599
wanting to be out in the woods, like you know,

408
00:26:47.799 --> 00:26:50.920
and I feel like I guess, yeah, it's hard.

409
00:26:51.160 --> 00:26:57.240
Yeah, yeah, I don't really know about that one. In

410
00:26:57.279 --> 00:26:59.400
the paper, I kind of like to play Devil's ad

411
00:26:59.720 --> 00:27:01.920
ad kit with myself, where I kind of look at

412
00:27:01.920 --> 00:27:05.279
the human reason behind the pattern and then also like, okay,

413
00:27:05.319 --> 00:27:08.319
so what's the biological reason for this pattern. Maybe at

414
00:27:08.319 --> 00:27:11.599
the end of the day, we don't know. And I

415
00:27:11.680 --> 00:27:13.720
tried to make that really clear too in my paper.

416
00:27:13.799 --> 00:27:17.000
It's like, you know, I don't know why this is happening,

417
00:27:17.240 --> 00:27:22.119
but these results weren't further investigation, Like we can't ignore this.

418
00:27:22.119 --> 00:27:25.079
This is something that needs to be looked into more.

419
00:27:26.680 --> 00:27:30.640
And I hope that's the point that I drove home

420
00:27:30.799 --> 00:27:33.279
in that paper. It's like, look at all these possibilities,

421
00:27:33.720 --> 00:27:37.279
Look at how weird that it is that this stuff

422
00:27:37.319 --> 00:27:42.920
would happen. We need resources and we need more people

423
00:27:42.960 --> 00:27:43.559
looking into this.

424
00:27:43.960 --> 00:27:47.200
Yes for sure. I mean I'm just thinking on my own,

425
00:27:47.400 --> 00:27:51.519
like going out in the spring, it can be really

426
00:27:51.559 --> 00:27:54.440
sloppy out there, so it's like, you know, maybe people

427
00:27:54.440 --> 00:27:58.319
are just less apt, but whatever. I mean, it's just

428
00:27:58.440 --> 00:28:06.160
it's that's that's a cool said data for sure. What

429
00:28:06.559 --> 00:28:08.599
Oh my gosh, I had the question and now it's

430
00:28:08.640 --> 00:28:22.799
gone and it's got to do with sighting. Come on, dude, Sorry, No,

431
00:28:22.880 --> 00:28:30.200
you're good. Well either way, man, maybe it'll come back. So,

432
00:28:32.559 --> 00:28:37.519
I mean, the bottom line is how many sightings does

433
00:28:37.599 --> 00:28:41.440
the BRFO have like in the data set.

434
00:28:43.039 --> 00:28:45.279
I don't know how many sightings there are, but I

435
00:28:45.319 --> 00:28:48.599
do know that there are about sixty five hundred reports total.

436
00:28:48.759 --> 00:28:53.160
Sixty five reports, okay, so just general reports. And the

437
00:28:53.160 --> 00:28:56.240
way that I have the data set structured, which is

438
00:28:56.279 --> 00:28:58.559
also totally open source and free for anyone who wants

439
00:28:58.599 --> 00:29:02.559
to go use it, look at it whatever. The way

440
00:29:02.599 --> 00:29:05.240
that I have it structured is not necessarily by report number,

441
00:29:05.279 --> 00:29:10.079
but by encounter because sometimes witnesses have multiple report but

442
00:29:10.079 --> 00:29:13.559
they stick it under the same thing. So really, when

443
00:29:13.599 --> 00:29:15.720
all of a sudden done, I mean, we're gonna be

444
00:29:15.799 --> 00:29:23.559
pushing like seven thousand, eight thousand reports, which is a lot.

445
00:29:24.119 --> 00:29:27.480
Yeah, we gotta get you hooked up with Scott. He's

446
00:29:27.480 --> 00:29:29.240
got like fifteen thousand total.

447
00:29:29.920 --> 00:29:33.640
Yeah, and I think I know how I would really

448
00:29:33.680 --> 00:29:36.079
like to talk to him and see.

449
00:29:35.960 --> 00:29:36.880
How he's doing.

450
00:29:36.960 --> 00:29:37.839
Can make that happen.

451
00:29:37.880 --> 00:29:41.240
Okay, that would be great because like I know that

452
00:29:41.400 --> 00:29:45.279
like the things that he's keeping up with are a

453
00:29:45.319 --> 00:29:48.039
bit different than like what I'm trying.

454
00:29:47.720 --> 00:29:54.839
To his reporting system that he's getting that for his reports, right,

455
00:29:55.240 --> 00:29:58.960
and he takes reports from everywhere obviously like he's imported

456
00:29:59.000 --> 00:30:02.839
stuff from BRFO in other places, but he's getting his

457
00:30:02.920 --> 00:30:06.640
own reports and it's very much just like b f R. Oh.

458
00:30:07.440 --> 00:30:13.759
So that's it's a huge data said, it's pretty nice.

459
00:30:14.119 --> 00:30:18.240
Bottom line is only one has to be right, Yeah,

460
00:30:18.640 --> 00:30:19.839
only one has to be real.

461
00:30:20.279 --> 00:30:26.599
Yeah for sure. And you know, the the probability exactly

462
00:30:27.440 --> 00:30:30.880
all these being faked and hopes and not real, it

463
00:30:30.960 --> 00:30:36.240
is just ridiculous. It's just not it's just really not

464
00:30:36.680 --> 00:30:42.279
the case. There is something going on, and in my opinion,

465
00:30:42.440 --> 00:30:44.839
just from everything I've looked at and read and researched,

466
00:30:44.880 --> 00:30:50.400
it's a biological entity and it's you know, some kind

467
00:30:50.480 --> 00:30:54.400
of great ape that we have in North America.

468
00:30:54.559 --> 00:30:59.799
But that's sort of some sort of something something going on.

469
00:31:01.279 --> 00:31:03.279
But yeah, at the end of the day, just one

470
00:31:05.079 --> 00:31:06.880
report needs to be authentic.

471
00:31:07.400 --> 00:31:11.400
And I think like Jeff Meltrim's talked about that too,

472
00:31:11.440 --> 00:31:13.559
it's like you just need one real thing and then

473
00:31:13.640 --> 00:31:17.279
it's like an actual thing. I've actually I've been reading

474
00:31:17.319 --> 00:31:21.799
a lot about primatology lately, and I think that's one

475
00:31:21.799 --> 00:31:24.440
of the best things that all of us could be

476
00:31:24.519 --> 00:31:29.839
doing to advance our own sasquatch research and understanding, because

477
00:31:30.039 --> 00:31:36.640
it's actually crazy how similar the discoveries of the known

478
00:31:36.720 --> 00:31:42.680
Great apes, like how similar their story is to what

479
00:31:42.680 --> 00:31:46.960
we're dealing with right now with sasquatches. Yeah, the history

480
00:31:47.000 --> 00:31:49.000
of the discovery of the Great Apes, like it is

481
00:31:49.680 --> 00:31:53.519
almost creepy how much it parallels exactly what we're going through.

482
00:31:54.920 --> 00:31:56.960
And so I think like once you start learning about

483
00:31:57.000 --> 00:32:01.400
that too, it really puts things into perspective, Like you

484
00:32:01.440 --> 00:32:06.519
know that sasquatches are probably a biological entity and they're

485
00:32:06.559 --> 00:32:08.839
a thing that exists here in North America, and it

486
00:32:08.880 --> 00:32:12.079
actually makes a lot of sense that they would exist

487
00:32:12.119 --> 00:32:17.319
here and that they're a thing. So yeah, for sure.

488
00:32:17.519 --> 00:32:21.240
Yeah, i'd like the story of the discovery, like the

489
00:32:21.279 --> 00:32:25.000
actual scientific discovery of the Mountain gorilla. Yeah, well just

490
00:32:25.359 --> 00:32:26.200
blows your mind.

491
00:32:26.640 --> 00:32:29.519
I have a really good book suggestion. Actually, I was

492
00:32:29.559 --> 00:32:31.440
just filming a video before this about the books. That's

493
00:32:31.440 --> 00:32:34.160
why it's like freshre in my mind. This book is fantastic.

494
00:32:34.279 --> 00:32:35.200
It's called Great.

495
00:32:36.559 --> 00:32:37.279
You write it down.

496
00:32:38.119 --> 00:32:41.880
It's a really quick read, but it has so much

497
00:32:42.200 --> 00:32:46.920
great information about just the discovery process of the Great

498
00:32:46.960 --> 00:32:50.160
Apes and what they did to actually discover the Great

499
00:32:50.200 --> 00:32:52.599
Apes and like get close to them and stuff. So

500
00:32:53.599 --> 00:32:55.759
I'm like, this is one of the best resources we

501
00:32:55.759 --> 00:33:00.400
could possibly be using for sasquatch research, Like just learning

502
00:33:00.440 --> 00:33:04.240
from how they did it should apply it.

503
00:33:04.359 --> 00:33:10.400
Right, So I remembered my question, so what where did

504
00:33:10.680 --> 00:33:15.960
most and I don't mean geographically, but what where do

505
00:33:16.119 --> 00:33:20.200
most encounters happen? Like, are they like on the road,

506
00:33:20.319 --> 00:33:23.119
are they in the woods? Are they you know, I've

507
00:33:23.119 --> 00:33:26.440
always heard like it's it's like road crossings or something

508
00:33:26.519 --> 00:33:31.599
like that. But where do you have that narrowed down?

509
00:33:32.160 --> 00:33:34.599
Yeah? So I've also always heard that like road crossings

510
00:33:34.599 --> 00:33:38.799
are like the top right, that's where most sightings happen,

511
00:33:39.039 --> 00:33:43.519
And I have not seen that in the data. Are that.

512
00:33:43.799 --> 00:33:45.240
I love this stuff like that?

513
00:33:45.359 --> 00:33:47.400
But again, it can change, right, it can change.

514
00:33:47.440 --> 00:33:49.759
But I will say that road crossings are not typically

515
00:33:50.160 --> 00:33:57.640
the most reported sasquatch sidings. Typically it's either residential sightings,

516
00:33:57.680 --> 00:34:01.279
like people are in or around their homes or they're

517
00:34:01.359 --> 00:34:05.319
just just literally like out in the woods, hunting, camping,

518
00:34:05.680 --> 00:34:09.880
that kind of thing. But the last I can't think

519
00:34:09.880 --> 00:34:11.559
of a statistic off of my off the top of

520
00:34:11.599 --> 00:34:13.199
my head with the road crossings. But that was one

521
00:34:13.199 --> 00:34:14.960
of the things that surprised me too when I first

522
00:34:14.960 --> 00:34:17.559
started looking into this. I'm like, Wow, there really aren't

523
00:34:17.559 --> 00:34:21.079
that any road crossings that get reported, and it could

524
00:34:21.079 --> 00:34:24.039
be just like people aren't reporting them that.

525
00:34:24.360 --> 00:34:27.599
Like did I really just see that or what right?

526
00:34:27.639 --> 00:34:30.159
And they're just like it's late, I'm tired.

527
00:34:31.039 --> 00:34:33.760
But any circles, that's all you hear of, Yeah, I

528
00:34:33.760 --> 00:34:35.880
mean you hear about it a lot like, oh, well

529
00:34:35.960 --> 00:34:39.000
that you know that's one of the number one places

530
00:34:39.039 --> 00:34:40.679
for sightings is along the road.

531
00:34:42.239 --> 00:34:43.719
I mean it is a good it is a good

532
00:34:43.719 --> 00:34:45.159
place to have a siding.

533
00:34:45.239 --> 00:34:47.000
I mean I do parsel a lot of reports that

534
00:34:47.039 --> 00:34:50.519
are road crossings or the sasquatches on the road or

535
00:34:50.599 --> 00:34:53.000
right off of a road, but it's not the number

536
00:34:53.000 --> 00:34:57.559
one way for sure. And that's part of kind of

537
00:34:57.679 --> 00:34:59.679
why I wanted to do what I'm doing too, is

538
00:34:59.679 --> 00:35:04.119
because I feel like, I guess to put it lightly

539
00:35:04.400 --> 00:35:06.079
in the community, A lot of times we get these

540
00:35:06.119 --> 00:35:08.519
ideas and then they just kind of stick, but then

541
00:35:08.559 --> 00:35:14.519
there's not necessarily stuff to back it up. So that's

542
00:35:14.559 --> 00:35:17.119
part of the reason I wanted to create the Sasquatch

543
00:35:17.199 --> 00:35:20.440
Data Project and really start looking into what the data

544
00:35:20.719 --> 00:35:22.760
says and what the numbers are saying, so that we

545
00:35:22.800 --> 00:35:24.719
can kind of put some of these things to rest

546
00:35:25.159 --> 00:35:32.679
and also start, uh, you know, putting numbers behind our

547
00:35:32.719 --> 00:35:36.400
words instead of letting our ideas lead the way. Let

548
00:35:36.440 --> 00:35:38.880
the numbers light away, you know, lead the way, and

549
00:35:38.920 --> 00:35:45.280
then we can let the ideas happen then. So yeah,

550
00:35:45.320 --> 00:35:47.199
and that's been that's been a fun. Part of this

551
00:35:47.360 --> 00:35:51.519
is kind of seeing some things pop up that don't

552
00:35:51.559 --> 00:35:55.360
necessarily align with what gets talked about a lot.

553
00:35:58.400 --> 00:36:02.239
What about red eyes, a glowing eyes.

554
00:36:02.039 --> 00:36:02.800
The eye shine?

555
00:36:03.000 --> 00:36:06.000
Yes, so this is like the thing. Yeah, I've I've

556
00:36:06.079 --> 00:36:09.400
just I always like I've heard eye shine, but then

557
00:36:09.440 --> 00:36:12.920
I've heard Nope, they were glowing red eyes or whatever.

558
00:36:13.559 --> 00:36:18.559
Yeah, so the eye shine thing is something I'm pretty

559
00:36:18.559 --> 00:36:22.440
interested in. I will say that red eye shine is

560
00:36:22.519 --> 00:36:27.440
the most reported color, so that stands, But the second

561
00:36:27.480 --> 00:36:31.320
most reported is no eye shine at all, when technically

562
00:36:31.320 --> 00:36:34.400
there should be, meaning the sasquatch was looking into headlights

563
00:36:34.400 --> 00:36:37.639
a flashlight. There were some light sores shining at their eyes,

564
00:36:37.639 --> 00:36:40.599
and the witness was able to see just the eye

565
00:36:41.000 --> 00:36:45.760
there was no eye shine, So that's really interesting. I've

566
00:36:45.960 --> 00:36:51.480
parted reports class A reports that claim a whole spectrum

567
00:36:51.559 --> 00:36:56.840
of eye shine colors, and at first that didn't really

568
00:36:56.880 --> 00:37:00.280
sit well with me because typically with it in the

569
00:37:00.320 --> 00:37:04.239
same species of animal, you're going to have the same

570
00:37:04.280 --> 00:37:10.960
color eyeshine between individuals. Now, there is some variation to this.

571
00:37:11.159 --> 00:37:14.119
We see this actually in like domestic cats, So in

572
00:37:14.199 --> 00:37:18.360
different cat breeds they can have different eyes shine colors,

573
00:37:18.599 --> 00:37:22.760
and in particular cat breeds they can lack the tapetum

574
00:37:22.840 --> 00:37:28.199
lucidum altogether, so they have no eye shine, which is

575
00:37:28.199 --> 00:37:32.800
pretty interesting. So you know, it could be that, but

576
00:37:32.960 --> 00:37:37.440
the chances that, you know, if sasquatches are all the

577
00:37:37.480 --> 00:37:40.400
same species, you know that at least the ones that

578
00:37:40.400 --> 00:37:44.159
are living in North America for the most part, we

579
00:37:44.280 --> 00:37:46.320
do kind of we would kind of expect them all

580
00:37:46.360 --> 00:37:48.519
to have the same eyes shine color, because if they didn't,

581
00:37:48.519 --> 00:37:51.239
that means that eye shine or the tapatum lucidum would

582
00:37:51.280 --> 00:37:54.880
have had to evolved separately yet at the same time

583
00:37:55.480 --> 00:37:59.280
and you know, in a different manner. So it gets

584
00:37:59.320 --> 00:38:06.679
funky when you start looking at that component. I I

585
00:38:06.760 --> 00:38:09.159
don't really know what to say about the glowing eyes thing.

586
00:38:09.599 --> 00:38:15.360
I was actually talking to a BFRO researcher about this

587
00:38:16.119 --> 00:38:19.079
not too long ago, like a month ago, because he

588
00:38:19.280 --> 00:38:21.519
was asking me about, like, what have I seen with

589
00:38:21.599 --> 00:38:27.719
glowing eyes versus eye shine typically in the data? You know,

590
00:38:27.840 --> 00:38:30.440
I I really hesitate to say that the eyes are

591
00:38:30.480 --> 00:38:34.599
glowing because like, we don't see that in other animals.

592
00:38:36.079 --> 00:38:38.320
I like to be open minded and if I'm wrong

593
00:38:38.440 --> 00:38:42.800
later then that's fine. But you know, I'm pretty firmly

594
00:38:42.800 --> 00:38:45.280
on the side that that it's eye shine, especially when

595
00:38:45.280 --> 00:38:48.320
we start taking into consideration these situations in which people

596
00:38:48.320 --> 00:38:50.599
are seeing the eye shine, which is there's a light source.

597
00:38:50.920 --> 00:38:55.760
So like, it just seemed, you know, that that screams

598
00:38:55.840 --> 00:38:59.559
eyeshine to me, not glowing eyes.

599
00:39:01.440 --> 00:39:03.760
So yeah, the eye shine.

600
00:39:03.480 --> 00:39:06.920
Thing is pretty interesting because it would be a bit

601
00:39:07.039 --> 00:39:11.480
unusual if we did see this really broad especially an

602
00:39:11.519 --> 00:39:16.639
extremely broad spectrum of colors from the same species or

603
00:39:16.639 --> 00:39:18.360
individuals within the same species.

604
00:39:18.400 --> 00:39:20.280
But I don't know.

605
00:39:20.320 --> 00:39:23.559
I guess cats had it happened. So yeah.

606
00:39:23.599 --> 00:39:25.639
But then also it's weird enough that uh.

607
00:39:26.119 --> 00:39:29.320
You know, a grade ape has eyeshine, but I don't

608
00:39:29.320 --> 00:39:30.920
really have that much of a problem with it because

609
00:39:30.960 --> 00:39:37.800
they're typically nocturnal, so like they gotta see. Yeah, I

610
00:39:37.840 --> 00:39:38.880
hope that answered your question.

611
00:39:38.960 --> 00:39:41.920
I just yeah, no, absolutely, I just I kind of

612
00:39:41.920 --> 00:39:47.320
look at it as in two like, yeah, it's it's

613
00:39:47.400 --> 00:39:52.719
hard to say because the the the encounters that I've

614
00:39:52.719 --> 00:39:56.920
heard of where it was like glowing red eyes the

615
00:39:56.960 --> 00:40:00.920
only ones I take as not eyeshiner, like maybe like

616
00:40:01.000 --> 00:40:04.119
if it happens in the middle of the day or

617
00:40:04.159 --> 00:40:07.920
like in the deep dark woods, you know. Yeah, and

618
00:40:07.960 --> 00:40:13.559
those are few far and few in between. So that's

619
00:40:13.599 --> 00:40:16.000
something I don't really know. And I just popped into

620
00:40:16.000 --> 00:40:21.760
my head though. Does the eye shine color give you

621
00:40:21.800 --> 00:40:26.079
any clue of what spectrum the animal can see in?

622
00:40:27.480 --> 00:40:30.440
So the I shine color from what I understand about

623
00:40:30.440 --> 00:40:33.280
the tapatum lucidum, which is like the film at the

624
00:40:33.280 --> 00:40:36.480
back of the eye that you know causes it, the

625
00:40:36.519 --> 00:40:40.760
I shine color has to do with the I think

626
00:40:40.920 --> 00:40:45.559
it's the protein structure of like the particular protein structure

627
00:40:45.599 --> 00:40:48.559
within that lens. That could be wrong. It's some kind

628
00:40:48.639 --> 00:40:55.000
of something, but I I don't know if it can

629
00:40:55.039 --> 00:40:58.119
tell us anything about Like, yeah, I don't I don't

630
00:40:58.159 --> 00:41:00.519
know if it can, because like.

631
00:41:00.519 --> 00:41:04.519
Red eye, isn't that eye shine to an extent, like

632
00:41:04.519 --> 00:41:07.119
like in photos, you don't really see it much anymore.

633
00:41:07.159 --> 00:41:09.840
But you know, so red eye is caused by the

634
00:41:09.840 --> 00:41:14.159
blood vessels in our eyes. Yeah, so humans lack the

635
00:41:14.280 --> 00:41:16.000
pay of lucidum, which is why.

636
00:41:16.360 --> 00:41:17.440
That's what I always thought.

637
00:41:17.599 --> 00:41:22.679
But yeah, which I've heard some people say that it

638
00:41:22.719 --> 00:41:25.800
could be that that we're seeing or that people are

639
00:41:25.800 --> 00:41:29.760
seeing is like a really extreme version of red eye.

640
00:41:29.800 --> 00:41:31.079
I've heard that a couple of times.

641
00:41:31.119 --> 00:41:35.880
But from the descriptions and from the situations, it really

642
00:41:35.920 --> 00:41:39.519
seems more like the presence of a tip and lucidum

643
00:41:39.559 --> 00:41:39.920
over that.

644
00:41:41.599 --> 00:41:44.159
Just because I'm wondering. The reason I say that is

645
00:41:44.320 --> 00:41:49.880
it's you know, can they see in the infrared? I

646
00:41:49.920 --> 00:41:50.320
don't know.

647
00:41:50.920 --> 00:41:53.920
Yeah, I mean other animals can, so it wouldn't.

648
00:41:53.800 --> 00:41:56.559
Like it wouldn't be out of the realm, no stretch.

649
00:41:57.159 --> 00:42:01.760
Yeah, I personally don't think it would be like that's surprising,

650
00:42:01.880 --> 00:42:07.119
especially if they really are nocturnal, which is questionable.

651
00:42:07.199 --> 00:42:12.760
But yeah, and yeah, exactly. I mean it's not that

652
00:42:12.840 --> 00:42:16.559
big of a gap either. It's not when when you

653
00:42:16.599 --> 00:42:19.280
really think of it, like we're so like there's there

654
00:42:19.320 --> 00:42:24.159
are people that can actually see aspects of the infrared spectrum.

655
00:42:24.239 --> 00:42:30.199
So yeah, yeah, that's bizarre. Right, So I'm i'm my

656
00:42:30.400 --> 00:42:33.000
One of my businesses is we we do a lot

657
00:42:33.039 --> 00:42:37.199
of info. Well it's about the infrared spectrum. Actually, we

658
00:42:37.360 --> 00:42:40.400
use it for communication and whatnot. And one of our

659
00:42:40.880 --> 00:42:45.679
products is a cran that you actually write infrared and

660
00:42:45.719 --> 00:42:50.920
you can only see it with night vision, so it's crazy,

661
00:42:51.519 --> 00:42:54.400
and we can and you can even tweak you know

662
00:42:55.400 --> 00:42:59.079
what what wavelengths see. So yeah, it's it gets really

663
00:42:59.079 --> 00:42:59.559
in depth.

664
00:42:59.760 --> 00:43:00.840
But yeah, that's wild.

665
00:43:01.239 --> 00:43:05.000
Yeah, so that's something I'm always interested in because what

666
00:43:05.119 --> 00:43:11.400
can they see? What can't they see? Anyway? So what

667
00:43:11.559 --> 00:43:17.159
about so you brought up like blonde sasquatch, like an

668
00:43:17.199 --> 00:43:22.199
overabundance of blood squatches in Alabama and some other places

669
00:43:22.239 --> 00:43:29.760
where you wouldn't expect. What is the most prevalent color overall? Black?

670
00:43:30.119 --> 00:43:35.719
Black, yep, black and then just generally dark, which I

671
00:43:35.760 --> 00:43:38.119
that's my way of saying, like the witness was not

672
00:43:38.199 --> 00:43:41.280
able to determine if it was black or dark brown.

673
00:43:42.320 --> 00:43:44.159
And then the next color is dark brown.

674
00:43:44.679 --> 00:43:47.840
Right, so it's dark yeah, dark.

675
00:43:48.360 --> 00:43:51.440
Yep, right, And then I think red brown is after

676
00:43:52.280 --> 00:43:54.559
dark brown, and then I don't remember the rest.

677
00:43:54.599 --> 00:43:56.639
There's like there are a ton.

678
00:43:56.480 --> 00:44:01.679
Of categories that I've I guess created. Yeah, the blonde

679
00:44:01.719 --> 00:44:06.599
Sasquatch thing is interesting because it really only popped up

680
00:44:06.599 --> 00:44:10.400
in this one section of Alabama and I think Arkansas

681
00:44:10.639 --> 00:44:15.639
if I'm remembering correctly, and that. Yeah, that that kind

682
00:44:15.639 --> 00:44:18.239
of threw me through a loop. But then I learned

683
00:44:18.239 --> 00:44:23.079
that there's actually like lore in Alabama about like blonde

684
00:44:23.239 --> 00:44:26.320
in white Sasquatches, like it's part of their folklore. I

685
00:44:26.360 --> 00:44:28.360
think it's called I think it's literally just called the

686
00:44:28.400 --> 00:44:34.039
white thing or something, and it's you know, descriptive of

687
00:44:34.119 --> 00:44:37.880
a white Sasquatch or a blonde Sasquatch. So I learned

688
00:44:37.920 --> 00:44:39.679
about that after I saw that in the data, and

689
00:44:39.719 --> 00:44:44.760
I was like, well, that's really strange and pretty interesting.

690
00:44:45.320 --> 00:44:48.280
What about white or black or white or gray? Like

691
00:44:48.480 --> 00:44:50.039
up in New England?

692
00:44:51.199 --> 00:44:55.119
You know, my Northeast reports are pretty sparse.

693
00:44:55.480 --> 00:44:58.079
Yeah, they're pretty sparse in general.

694
00:44:57.719 --> 00:45:00.079
But yeah, I haven't seen.

695
00:45:01.400 --> 00:45:03.880
Just off the top of my head, there haven't really

696
00:45:03.880 --> 00:45:07.039
been that many reports of white or gray. Okay, the

697
00:45:07.079 --> 00:45:08.360
most have come from the South.

698
00:45:08.800 --> 00:45:12.519
Yeah, that's real, so weird. But obviously that's a it's

699
00:45:12.559 --> 00:45:17.599
a genetic trait, right, that something gets passed on like that,

700
00:45:18.840 --> 00:45:23.800
which is pretty pretty And I think that your data

701
00:45:25.159 --> 00:45:28.320
kind of solidifies that too, because it's in a smaller area,

702
00:45:28.440 --> 00:45:32.239
is what you're saying too, right, Yeah, at least concentrated area.

703
00:45:32.639 --> 00:45:35.880
Yeah, at least for the blonde sasquatches. It's in a

704
00:45:36.239 --> 00:45:38.639
I forget which section of Alabama it was in, but

705
00:45:38.679 --> 00:45:42.760
it was in a pretty particular area. The gray and

706
00:45:42.800 --> 00:45:46.079
the white sasquatches are pretty spread out, and I do

707
00:45:46.159 --> 00:45:48.400
wonder if that has if that's like an age thing.

708
00:45:50.599 --> 00:45:56.039
But yeah, I haven't noticed any particular clustering of hair

709
00:45:56.079 --> 00:46:02.320
colors and specific areas beyond the black ones in Alabama.

710
00:46:02.719 --> 00:46:06.400
Right, what about like silver back tendencies. I'm wondering, just

711
00:46:06.440 --> 00:46:09.280
because if we're talking about apes, I'm trying to like

712
00:46:09.400 --> 00:46:14.039
correlate data with the with you know, you know, male

713
00:46:16.960 --> 00:46:20.280
silver as they get that silver back as they age.

714
00:46:20.360 --> 00:46:24.159
I wonder if there's is a correlative thing, and.

715
00:46:25.679 --> 00:46:28.719
You know, I haven't looked at I'm trying to think

716
00:46:28.760 --> 00:46:30.840
the way I would do that, probably looking at heights

717
00:46:31.440 --> 00:46:36.440
high estimates with the hair colors, because you know, we

718
00:46:36.599 --> 00:46:38.679
I guess we're going to We can assume that the

719
00:46:38.719 --> 00:46:42.719
males are probably larger than the females. Yeah, and so

720
00:46:42.760 --> 00:46:45.199
it would be interesting to see if maybe the gray

721
00:46:45.239 --> 00:46:51.159
sasquatches were on average taller than the other colors or larger,

722
00:46:53.320 --> 00:46:56.400
I am not sure. Another thing to look at that too,

723
00:46:56.400 --> 00:47:00.800
would probably be the presence of a sagital crest or

724
00:47:01.079 --> 00:47:05.199
you know, the classic conical head, because I have a

725
00:47:05.239 --> 00:47:08.280
sneaky suspicion that that might be a sexually dimorphic trait

726
00:47:09.000 --> 00:47:10.280
because I've been kind of looking.

727
00:47:10.880 --> 00:47:12.480
I don't quite have enough data.

728
00:47:12.360 --> 00:47:16.559
Yet to really release any numbers, but if so far,

729
00:47:16.679 --> 00:47:19.119
if you look at the head shapes and the heights,

730
00:47:19.440 --> 00:47:21.639
it does kind of correlate.

731
00:47:22.119 --> 00:47:24.519
Cool. Yep, that's interesting.

732
00:47:24.920 --> 00:47:27.320
Yeah. So that's pretty interesting too, because it's like, you know,

733
00:47:27.440 --> 00:47:31.039
we see it in gorillas. Yeah, and it's something that

734
00:47:31.079 --> 00:47:33.320
gets The conical head gets reported a lot, but so

735
00:47:33.400 --> 00:47:36.559
does a rounded head. I will say that the conical

736
00:47:36.559 --> 00:47:38.599
head is like the iconic thing that I think we

737
00:47:39.000 --> 00:47:42.760
talk about a lot, but there are a substantial amount

738
00:47:42.760 --> 00:47:44.559
of reports that say it was just it was a

739
00:47:44.639 --> 00:47:48.880
rounded head like a human that lack that. So that's

740
00:47:48.880 --> 00:47:50.440
something I really want to do once I have enough

741
00:47:50.519 --> 00:47:55.960
data is to look at the heights. Yeah, along with that.

742
00:47:55.000 --> 00:47:58.880
That's pretty cool. Yeah, it's just all these things and

743
00:47:58.920 --> 00:48:01.000
when you start looking at it through that lens, you

744
00:48:01.039 --> 00:48:05.360
see more of a you know, the correlation between existing

745
00:48:05.480 --> 00:48:09.280
species and and you know, I think that they exist,

746
00:48:09.400 --> 00:48:15.119
but I can't prove it, right Yeah. Uh oh gosh,

747
00:48:15.239 --> 00:48:20.079
again there was another question. And it's just like correlative

748
00:48:20.480 --> 00:48:25.920
information that maybe you've you've put together or not, and

749
00:48:26.000 --> 00:48:29.039
now it's gone again. So gees, I'm having issues today.

750
00:48:30.360 --> 00:48:41.239
But so have you ever had any encounters.

751
00:48:39.280 --> 00:48:46.119
I well, I can't say for sure. I've had some red.

752
00:48:47.760 --> 00:48:53.719
Yeah. Yeah, I like, really weird stuff happened that I

753
00:48:53.800 --> 00:48:59.000
can't explain with any known animal. I would say the

754
00:48:59.199 --> 00:49:03.320
weirdest thing that's ever happened was when I was living

755
00:49:03.360 --> 00:49:05.360
on my you know, with my parents. I was like

756
00:49:05.360 --> 00:49:10.639
a teenager and they I didn't really realize at the time.

757
00:49:10.679 --> 00:49:12.559
I don't know why, but I didn't realize that I

758
00:49:12.639 --> 00:49:15.960
kind of lived in a hotspot of like Northeast Georgia

759
00:49:16.000 --> 00:49:22.519
and I could have been doing more, but I was like,

760
00:49:22.800 --> 00:49:24.559
I think I was like fifteen at the time or

761
00:49:24.599 --> 00:49:27.920
sixteen or something, and I was woken up.

762
00:49:27.920 --> 00:49:30.400
It was the middle of the night. I was woken

763
00:49:30.480 --> 00:49:31.199
up to this noise.

764
00:49:31.400 --> 00:49:34.440
And the way their house was basically my room was

765
00:49:34.440 --> 00:49:36.280
like on the second floor, and I had this big

766
00:49:36.320 --> 00:49:38.400
window right next to the bed, so like I could

767
00:49:38.920 --> 00:49:43.320
basically see whatever was going on in the backyard, but

768
00:49:43.360 --> 00:49:45.360
it really was in the backyard. It was woods.

769
00:49:45.760 --> 00:49:50.480
So I woke up to this really strange noise.

770
00:49:50.880 --> 00:49:54.320
And at first I thought my horses had gotten out

771
00:49:54.440 --> 00:49:58.000
of their pasture, because I had horses, and you know,

772
00:49:58.360 --> 00:50:01.880
sometimes you could hear them in the woods, just sometimes,

773
00:50:02.639 --> 00:50:05.000
which I think is significant for the story, because like

774
00:50:05.039 --> 00:50:07.760
they were a thousand pound animals in the woods and

775
00:50:07.920 --> 00:50:10.440
just under the right conditions you can hear them kind

776
00:50:10.440 --> 00:50:16.679
of walking around. But the noise was like a it's

777
00:50:16.719 --> 00:50:19.480
gonna sounds so bizarre. It sounded like a demented turkey

778
00:50:19.880 --> 00:50:23.239
with a horse snort at the end. Like it sounded

779
00:50:23.440 --> 00:50:26.800
like a really messed up turkey. I don't know how

780
00:50:26.840 --> 00:50:31.159
else to describe it. And then like this big exhale

781
00:50:31.599 --> 00:50:36.400
horse snort kind of thing at the end, and I

782
00:50:36.639 --> 00:50:39.239
was sitting there going, oh my god, is that a turkey?

783
00:50:39.360 --> 00:50:41.119
And I was like, no, turkeys.

784
00:50:40.760 --> 00:50:43.800
Don't sound exact you know, they don't make that noise

785
00:50:43.840 --> 00:50:49.559
at the end, right, And I was also hearing very

786
00:50:49.599 --> 00:50:54.480
distinctive bipedal running. It was two feet hitting the ground,

787
00:50:54.960 --> 00:50:57.480
running back and forth in the tree line, making this

788
00:50:57.880 --> 00:51:00.639
really messed up turkey sounding or snort thing.

789
00:51:01.039 --> 00:51:02.760
So I'm thinking it's a really big turkey.

790
00:51:02.920 --> 00:51:03.639
But then I was like.

791
00:51:05.679 --> 00:51:07.960
And I'm like, oh my god, like what is this?

792
00:51:08.199 --> 00:51:09.679
But then I was like, well, no, I can't be

793
00:51:09.719 --> 00:51:11.679
a turkey because they're not big enough for me to

794
00:51:11.719 --> 00:51:14.039
even hear their steps. Like I can barely hear the

795
00:51:14.039 --> 00:51:16.440
horses in the woods when they're running around. Now am

796
00:51:16.440 --> 00:51:19.519
I gonna hear a turkey? So then my next thing is, well,

797
00:51:19.519 --> 00:51:21.559
maybe it's the horses. But then I was like, well,

798
00:51:21.599 --> 00:51:23.960
the horses don't make a turkey noise. Also, they're on

799
00:51:24.000 --> 00:51:25.840
four legs. This is two, right.

800
00:51:25.880 --> 00:51:27.519
So I'm just.

801
00:51:27.400 --> 00:51:30.400
Like, I'm kind of freaking out at this point because

802
00:51:30.960 --> 00:51:33.320
I had no idea what to make of it, and

803
00:51:34.320 --> 00:51:37.199
it was just right outside of my bedroom windows, so

804
00:51:37.239 --> 00:51:41.079
I'm like looking trying to see I couldn't see anything, and.

805
00:51:41.360 --> 00:51:44.679
So then my brain goes, it's an alien. We got aliens,

806
00:51:44.840 --> 00:51:46.239
Like this is the new thing.

807
00:51:47.800 --> 00:51:53.039
I've ever heard. And it was just really bizarre too,

808
00:51:53.039 --> 00:51:55.639
because like we had dogs that lived outside and they

809
00:51:55.679 --> 00:51:59.679
barked it everything, and they were staying dead quiet. They

810
00:51:59.760 --> 00:52:01.840
had they were not making a peep, and I was like,

811
00:52:01.920 --> 00:52:05.280
this is so weird. Why aren't they barking? Why aren't

812
00:52:05.280 --> 00:52:09.239
they going crazy? Because they would just bark at everything.

813
00:52:09.360 --> 00:52:13.199
And so I listened to this for probably like seven

814
00:52:13.239 --> 00:52:17.039
to twelve minutes or so, and it just went dead silent.

815
00:52:19.679 --> 00:52:20.199
That was it.

816
00:52:20.440 --> 00:52:27.199
That's a trait in a lot of sightings or encounters

817
00:52:27.400 --> 00:52:29.199
especially that involved dogs.

818
00:52:29.840 --> 00:52:32.480
Yep, at least that I've had, is.

819
00:52:32.440 --> 00:52:36.480
That the dogs just go silent. They're like either Nope,

820
00:52:36.559 --> 00:52:41.800
I'm not messing with this thing, or like who knows

821
00:52:41.840 --> 00:52:47.320
what it is? Right. But one of my our research

822
00:52:47.400 --> 00:52:49.800
area not not the one in when where I live

823
00:52:49.800 --> 00:52:54.400
in New York. It's my buddy's property and he's got dogs,

824
00:52:54.559 --> 00:52:58.920
big old dogs that are guard dogs and they do

825
00:52:59.039 --> 00:53:02.559
not mess around. Anytime anything comes near the house. They

826
00:53:02.599 --> 00:53:08.280
bark except for when it's a sasquatch or something that

827
00:53:08.320 --> 00:53:13.159
we think might be and they don't necessarily run away.

828
00:53:14.480 --> 00:53:20.039
They have but they just shut their mouths. It's really weird.

829
00:53:20.559 --> 00:53:23.199
That it's something I'm keeping up with in the data set.

830
00:53:23.239 --> 00:53:25.639
I have like a column for that, like are the

831
00:53:26.159 --> 00:53:31.960
heads either nervous or agitated, because sometimes they will you know,

832
00:53:32.199 --> 00:53:34.880
kick up their barking or whatever. But I haven't run

833
00:53:34.920 --> 00:53:38.079
stats on this yet. I need to pull data, but

834
00:53:38.599 --> 00:53:40.159
I do know that in quite a few reports it

835
00:53:40.239 --> 00:53:44.400
is just like weird silence from the animals. Extly, there

836
00:53:44.400 --> 00:53:49.039
would be noises happening, and it's so weird to experience

837
00:53:49.119 --> 00:53:51.639
that too, Like when you're so used to having like

838
00:53:51.679 --> 00:53:54.599
a guard dog and then you're in that situation where

839
00:53:54.599 --> 00:53:56.960
they're just quiet. It makes you freak out more because

840
00:53:56.960 --> 00:53:58.199
you're like, if they're.

841
00:53:57.920 --> 00:54:03.320
Scared, you walk over your life. Yeah, you're not doing

842
00:54:03.320 --> 00:54:04.360
your job here, buddy.

843
00:54:04.760 --> 00:54:09.119
Yeah. Yeah, that's probably like the weirdest thing I'd had happen.

844
00:54:09.760 --> 00:54:14.960
I did get some weird like chatter, uh speechy kind

845
00:54:15.000 --> 00:54:19.800
of sound chatter. No, it was like it sounded like speech.

846
00:54:20.639 --> 00:54:22.519
I haven't recorded it's on my website if you want

847
00:54:22.519 --> 00:54:25.679
to go listen to it at any point. I recorded

848
00:54:25.679 --> 00:54:28.679
that back in August or maybe July, I can't remember,

849
00:54:28.840 --> 00:54:34.400
but it sounds like two individuals fighting and they're like yelling

850
00:54:34.599 --> 00:54:37.679
at each other and screaming, and there's also this weird

851
00:54:37.679 --> 00:54:40.760
whistle noise. It sounds like a flute, like a slide

852
00:54:40.800 --> 00:54:44.599
flute or something, and that's what kicks off the whole interaction,

853
00:54:44.760 --> 00:54:47.320
and then it's just silent. It's so bizarre.

854
00:54:49.280 --> 00:54:50.280
So that's probably.

855
00:54:49.920 --> 00:54:53.039
The other weirdest thing that's that one's more recent because

856
00:54:53.039 --> 00:54:54.280
I was just a couple of months ago I got

857
00:54:54.280 --> 00:54:54.760
that recording.

858
00:54:56.960 --> 00:54:59.840
The audience, like you recorded basically everything.

859
00:54:59.639 --> 00:55:02.840
Yes, yep, and that happened. It was pretty early in

860
00:55:02.880 --> 00:55:06.920
the night, so I can't completely rule out humans because

861
00:55:06.920 --> 00:55:09.239
I think it happened at like ten PM. But you

862
00:55:09.280 --> 00:55:11.880
can't make out words even though you definitely should be

863
00:55:11.880 --> 00:55:15.159
able to at that distance. It was recorded, and it

864
00:55:15.239 --> 00:55:17.480
was just a very bizarre thing.

865
00:55:17.800 --> 00:55:21.679
Yeah, I've heard the samurai Well that's what we called

866
00:55:21.679 --> 00:55:24.960
it because it's what it sounded like. It sounded like speech,

867
00:55:25.079 --> 00:55:31.480
but it also sounded like just literally like they're like

868
00:55:31.519 --> 00:55:36.159
a samurai movie, like a you know, just like made

869
00:55:36.239 --> 00:55:36.880
no sense.

870
00:55:37.519 --> 00:55:41.920
Yeah, yeah, was that creepy like how it was?

871
00:55:42.639 --> 00:55:45.679
It was there was three of us, and all three

872
00:55:45.719 --> 00:55:47.719
of us heard it and we were just like are

873
00:55:47.760 --> 00:55:53.199
you kidding right now? Like also, the last time that

874
00:55:53.239 --> 00:56:01.719
we went out in Pennsylvania, we heard what sounded like chimpanzees. Oh.

875
00:56:01.760 --> 00:56:04.639
So my buddy, who that was his first time ever

876
00:56:05.000 --> 00:56:09.639
going out, He's like, do I really want to go

877
00:56:09.639 --> 00:56:12.440
out in the woods anymore? Like he's having like a

878
00:56:12.559 --> 00:56:13.880
exponential crisis.

879
00:56:14.119 --> 00:56:14.480
Yeah.

880
00:56:14.519 --> 00:56:17.840
And because it was like the second or third we

881
00:56:17.840 --> 00:56:20.920
were there for like three or four days or five days,

882
00:56:21.119 --> 00:56:25.039
this was the third night. To me, the third night

883
00:56:25.199 --> 00:56:28.880
is when it always happens too, so bizarre. But anyway,

884
00:56:29.000 --> 00:56:31.679
we heard literally it sounded like if you were watching

885
00:56:31.800 --> 00:56:36.679
National Geographic and watching two like chimpanzee troops go at it.

886
00:56:36.960 --> 00:56:39.079
That's what it sounded like. People are like, ah, well,

887
00:56:39.079 --> 00:56:42.599
that could have been coyotes, and I could hear that,

888
00:56:43.079 --> 00:56:47.719
I could see, but this was totally different. Yeah, because

889
00:56:47.719 --> 00:56:52.719
there was screaming and it. My buddy's like, did I

890
00:56:52.920 --> 00:56:56.679
just hear monkeys in the Pennsylvania woods? It's like, yes,

891
00:56:57.000 --> 00:57:02.719
yes you did. It was insane. So have you ever

892
00:57:02.800 --> 00:57:05.719
been so you're you said, Northern Georgia. You spent in

893
00:57:05.920 --> 00:57:08.519
Northeastern Georgia. You've spent a lot of time up there.

894
00:57:08.559 --> 00:57:15.119
Have you ever been to the Expedition Bigfoot Museum up there? Yeah? Actually, yeah.

895
00:57:15.119 --> 00:57:17.599
I went for the first time on my birthday last year.

896
00:57:18.519 --> 00:57:19.880
I can't believe it took me so long to go

897
00:57:19.960 --> 00:57:22.079
up there. But it was really cool.

898
00:57:22.119 --> 00:57:22.679
I really loved it.

899
00:57:22.719 --> 00:57:26.000
I love that whole area too, like Blue Range. It's

900
00:57:26.039 --> 00:57:26.800
so beautiful.

901
00:57:27.159 --> 00:57:30.599
The Chattahoochee National Forest is a crazy place.

902
00:57:30.920 --> 00:57:34.960
Yeah it is. It is. Yeah, it's a That was

903
00:57:35.000 --> 00:57:36.280
a really cool museum.

904
00:57:36.320 --> 00:57:37.280
I really enjoyed it.

905
00:57:37.719 --> 00:57:43.519
Yeah. I just interviewed the one of the employees there, Amanda. Yeah.

906
00:57:43.559 --> 00:57:46.159
Oh yeah, yeah, we chat online.

907
00:57:47.360 --> 00:57:47.960
She's so nice.

908
00:57:48.199 --> 00:57:51.840
Yeah, she's awesome. She's pretty awesome. So that that was

909
00:57:51.840 --> 00:57:53.760
a yeah, small world.

910
00:57:54.960 --> 00:57:55.840
Sorry about my dog.

911
00:57:57.599 --> 00:57:59.639
The liquad has done its job.

912
00:58:00.159 --> 00:58:01.840
He's done with this peanut butter, I guess.

913
00:58:02.079 --> 00:58:07.159
Yeah. So okay, So this is called broadcasting seeds this podcast.

914
00:58:07.960 --> 00:58:10.199
So what I like to do a lot of times

915
00:58:10.280 --> 00:58:14.599
is have the guests give me their last parting, plant

916
00:58:14.599 --> 00:58:17.760
the seed in someone's mind, in the listener's minds on

917
00:58:17.880 --> 00:58:21.360
what you think they should take from all of this.

918
00:58:24.079 --> 00:58:28.519
I think the main thing is that, at least from

919
00:58:28.559 --> 00:58:36.559
my perspective, if we want, if we want to get

920
00:58:36.840 --> 00:58:42.079
the academic community to listen, scientists to listen, or even

921
00:58:42.119 --> 00:58:44.599
just your friends and family to like not think.

922
00:58:44.480 --> 00:58:46.280
You're nuts too.

923
00:58:47.400 --> 00:58:52.920
Like, we we got to start looking at the data

924
00:58:53.000 --> 00:58:56.480
and the numbers, and we have to start running statistical analysis.

925
00:58:56.480 --> 00:58:59.400
We have to start letting the data speak instead of

926
00:58:59.519 --> 00:59:00.599
us speaking.

927
00:59:00.920 --> 00:59:02.519
We need to start learning how to.

928
00:59:04.639 --> 00:59:06.719
You know, how to take better notes in the field,

929
00:59:07.000 --> 00:59:09.639
How can we optimize our time? What are the things

930
00:59:09.679 --> 00:59:12.199
that are important to document? Well kind of everything. When

931
00:59:12.239 --> 00:59:15.119
does stuff happen? When does stuff not happen? That's equally

932
00:59:15.159 --> 00:59:19.639
as important. So I think that's the main thing. Is, Like,

933
00:59:19.920 --> 00:59:25.960
I'm really hoping that either the Sasquatch Data Project itself

934
00:59:26.000 --> 00:59:28.880
with the data set can help people do that.

935
00:59:29.000 --> 00:59:30.719
They can go run their own analysis.

936
00:59:30.760 --> 00:59:32.719
They can go see what the data is actually saying

937
00:59:32.719 --> 00:59:37.840
about particular traits and whatnot, and hopefully that helps guide

938
00:59:37.840 --> 00:59:43.960
them to their own you know, ideas. I guess instead

939
00:59:43.960 --> 00:59:47.639
of letting the ideas take the forefront before any information has.

940
00:59:47.559 --> 00:59:52.519
Had right, Absolutely use it. Use the data for sure.

941
00:59:53.159 --> 00:59:57.039
So so tell everyone where they can find you one

942
00:59:57.119 --> 00:59:57.679
last time.

943
00:59:58.480 --> 00:59:59.519
So sorry about my dog.

944
01:00:00.800 --> 01:00:07.039
Okay, yeah, so my website is Sasquatch Data Project dot com.

945
01:00:07.519 --> 01:00:10.400
The UPS guy just went by, so he's having the time.

946
01:00:12.000 --> 01:00:14.159
You can also find me on Instagram and TikTok. That's

947
01:00:14.159 --> 01:00:18.280
where I'm most active at Sasquatch Data, but I do

948
01:00:18.320 --> 01:00:21.559
have Facebook too, It's also Sasquatch Data and YouTube, but

949
01:00:21.760 --> 01:00:25.920
I'm most active. Yeah, I'm most active by Instagram and TikTok.

950
01:00:26.639 --> 01:00:28.880
But if you want to go see the data sent

951
01:00:28.960 --> 01:00:31.639
or download it, you can go to Sasquatch Data project

952
01:00:31.639 --> 01:00:32.920
dot com and it's there.

953
01:00:33.400 --> 01:00:36.119
Awesome. Thank you so much for coming on.

954
01:00:36.719 --> 01:00:38.079
Yeah, thank you so much for having.

955
01:00:37.920 --> 01:00:40.559
Me to do this again in a bit and see

956
01:00:40.559 --> 01:00:42.159
what you've got with more data.

957
01:00:42.639 --> 01:00:43.480
Yeah, that would be great.

958
01:00:44.119 --> 01:00:44.440
Really.

959
01:00:46.079 --> 01:00:49.280
Yeah, I got bad thoughts that make my mind scared,

960
01:00:49.360 --> 01:00:51.599
hold me hostage and they don't fight fair?

961
01:00:51.760 --> 01:00:54.079
Who don't pray for me? And white brow my tests?

962
01:00:54.239 --> 01:00:55.159
Who don't save me?

963
01:00:55.320 --> 01:00:56.440
If you're not right here?

964
01:00:56.679 --> 01:00:57.559
Who is dot this?

965
01:00:57.800 --> 01:01:00.559
And make my cy clear? Take me your because I

966
01:01:00.599 --> 01:01:01.199
don't like you.

967
01:01:01.599 --> 01:01:02.559
Ghost to my past.

968
01:01:02.599 --> 01:01:03.760
They feeling the nightmare?

969
01:01:04.039 --> 01:01:04.719
Wake me up.

970
01:01:04.719 --> 01:01:06.639
I'm trapped in my Nightmas.

971
01:01:14.239 --> 01:01:24.199
You trapped in my Nightmas.

972
01:01:26.039 --> 01:01:30.880
Trowning, trowning, I move the deeping apparition of all my demons,

973
01:01:31.000 --> 01:01:34.360
all my thoughts, I come, making treason all alone. I'm

974
01:01:34.400 --> 01:01:39.239
gonna hear me screaming manifestations on my fists, Regrets that

975
01:01:39.360 --> 01:01:42.039
stretched out for light years, you can almost touch the light.

976
01:01:42.119 --> 01:01:46.320
Homie's right there, body free but trapting. My Nightmas, I

977
01:01:46.559 --> 01:01:49.239
don't let me your Our life.

978
01:01:49.079 --> 01:01:52.519
Is fading now. All my life is fading now.

979
01:01:53.000 --> 01:01:57.519
All my life is fast, no matter, fam, don't miss Johnny.

980
01:01:58.239 --> 01:01:59.440
My life is fading.

981
01:02:00.679 --> 01:02:01.920
My life is spaying.

982
01:02:02.159 --> 01:03:02.079
Nashpen Man, we shot in my Nightmas Night, A hold

983
01:03:02.519 --> 01:03:03.400
under d