WEBVTT

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<v Speaker 1>Big Food and Beyond with Cliff and Bulbo. These guys

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<v Speaker 1>are your favorites, so like to subscribe and raid it,

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<v Speaker 1>lip Star, shoot and.

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<v Speaker 2>Righteous on Yesterday and listening watching lim always keep its watching.

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<v Speaker 3>And now your hosts Cliff Berrickman and James booble.

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<v Speaker 1>Fay, Hey, bobs, what's happening to Mannamouccho just had fireballs

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<v Speaker 1>mass funeral yesterday? Oh really? How was that?

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<v Speaker 4>That was cool? You know it was a more sob mean,

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<v Speaker 4>the celebration of life was awesome. It was like a

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<v Speaker 4>real celebration, like fun party. And then you know the

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<v Speaker 4>funeral mass was a lot more you know, it's a

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<v Speaker 4>it's a more solemn occasion for sure.

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<v Speaker 5>Yeah.

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<v Speaker 1>Yeah, how's your mom holding up?

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<v Speaker 4>She's really she's really bummed. She's she's taking it tough,

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<v Speaker 4>but she's she's pretty resilient, she's pretty mentally tough. So's

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<v Speaker 4>she's just got to go on.

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<v Speaker 1>Yeah, man, raising the bobs will make it resilient, better, perish,

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<v Speaker 1>very good. Well, Yeah, I don't have much to say

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<v Speaker 1>of it this past week. You know, I've been out

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<v Speaker 1>to the wood still everything snowed in. Hopefully next week

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<v Speaker 1>we'll get out. But so you got that going on.

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<v Speaker 1>I pretty much have nothing, but we also have a

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<v Speaker 1>fantastic guest on the line. Maybe we should hop over there.

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<v Speaker 1>Oh yeah, bring them in, Bobes.

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<v Speaker 4>All right, folks, tonight we got visiting with us Steve Coles,

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<v Speaker 4>the squatch Detective. He's a famous hoax buster of the

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<v Speaker 4>Bigfoot variety. He's a private investigator, and he's got some

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<v Speaker 4>new books coming out. So welcome aboard, Steve.

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<v Speaker 1>Steve Man, thanks so much for coming back on Bigfoot

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<v Speaker 1>and Beyond with all of us.

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<v Speaker 5>Well, thanks for having me. It's my honor to be on.

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<v Speaker 4>Guys. Hey, Steve, thanks for joining us. Man.

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<v Speaker 5>Hey, Bobs, what's going on? Good to hear from you.

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<v Speaker 4>You too, looking forward to hear what you got to say.

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<v Speaker 1>Yeah, you're in all sorts of right now, Steve, I mean,

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<v Speaker 1>my gosh, you have three books coming out, you're doing

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<v Speaker 1>all sorts of analyzes with AI. I mean, and plus

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<v Speaker 1>you're a real you're kind of a squatchy guy to

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<v Speaker 1>begin with. So where do you want to start? What

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<v Speaker 1>do you want to talk about?

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<v Speaker 4>First?

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<v Speaker 5>Well, let's let's talk about the books that are coming out.

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<v Speaker 5>That probably be a good, good place, because that was

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<v Speaker 5>really the start of.

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<v Speaker 1>It, and you have three books coming out. All of

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<v Speaker 1>them are going to be released in the next month

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<v Speaker 1>or two in March in April. Is that correct?

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<v Speaker 5>Yep, I got one coming out March first, the other

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<v Speaker 5>one will be coming out March fifteenth, and the last

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<v Speaker 5>one will be April fifth.

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<v Speaker 1>Whoa what do you think, Bobs? Who should be a

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<v Speaker 1>chronological order?

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<v Speaker 4>Yeah? That sounds good to be. This is exciting. It's

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<v Speaker 4>it's like a Netflix mini series or you know, every

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<v Speaker 4>week you get a new one. Youdo, you get all excited.

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<v Speaker 1>So okay, So Steve, the first book, what is it

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<v Speaker 1>called and what is it about?

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<v Speaker 5>The first book coming out is called Bigfoot of Scientific Examination.

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<v Speaker 5>And basically what I did was I crafted a book

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<v Speaker 5>written of four forty nine separate scientific papers, abstracts, data,

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<v Speaker 5>and they're broken up into basically three types of sections.

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<v Speaker 5>The biological and physiological papers, social science papers, and case studies.

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<v Speaker 5>And well, actually section four is furthering research and there's

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<v Speaker 5>papers on how to how we can further our Bigfoot research.

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<v Speaker 5>But they, you know, the biological section, you know, contains

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<v Speaker 5>papers such as the prim primate Hypothesis, hummin and Evolution

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<v Speaker 5>and Implications talks about, you know, scientific paper on olafactory

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<v Speaker 5>capabilities and nesting behaviors and vision stuff like that. The

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<v Speaker 5>social science papers talk about things like the cultural impact

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<v Speaker 5>of bigfoot, bigfoot like in religious and spiritual context, cognitive bias,

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<v Speaker 5>media influence of the seventies and eighties, and one of

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<v Speaker 5>the more important ones the failure of mainstream science to

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<v Speaker 5>examine the Bigfoot mystery. And then in section four, I

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<v Speaker 5>do a bunch of case studies on like doctor Hendr

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<v Speaker 5>Fahrenbach's status report, the Skookum cast. I do a study

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<v Speaker 5>on a case study of Ray Wallace and stuff like

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<v Speaker 5>the hairy Man Glyfts three showed tracks, and you know,

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<v Speaker 5>I take a look at some of that, and of

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<v Speaker 5>course furthering research, I talk about, you know, ways to

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<v Speaker 5>proper locate the species, sound strategies, evidence collection, and you know,

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<v Speaker 5>track casting and leveraging artificial intelligence to help us assist

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<v Speaker 5>in some of our research.

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<v Speaker 1>Programs, assist instead of hinder, I suppose, yeah, exactly.

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<v Speaker 5>Yeah, all three of your books are following this format,

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<v Speaker 5>like not really. The first book is strictly a lot

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<v Speaker 5>of scientific papers in it, and I do have some

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<v Speaker 5>introductory caveats in there. In an epilogue, but it's sourced

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<v Speaker 5>with two hundred and seventy five plus sources of different scientists.

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<v Speaker 5>There's an appendix that has the charts that I use

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<v Speaker 5>in the book and has charts of an updated I

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<v Speaker 5>actually took doctor Henter Fahrenbach's charts and I updated them

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<v Speaker 5>to look more modern and more graphically appealing as well.

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<v Speaker 5>So there was a number of things I did in

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<v Speaker 5>this particular book. It's indexed, it's got a great broken

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<v Speaker 5>down table context. The next two books are written more

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<v Speaker 5>in book format, and like the book coming out on

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<v Speaker 5>March fifteenth as The squad Sectim's Guide to Bigfoot Investigations,

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<v Speaker 5>and that is a book basically just step by step

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<v Speaker 5>how to conduct a proper interview of a witness, how

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<v Speaker 5>to set the room up for a proper per interview

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<v Speaker 5>or the scene for a proper interview, what to look

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<v Speaker 5>for when interviewing somebody, evidence collection guidelines, casting guides, you know,

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<v Speaker 5>the whole nines with that.

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<v Speaker 4>Uh.

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<v Speaker 5>The last book is what would Sasquatch Do? Volume two,

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<v Speaker 5>which is all about primate behavior in relation to bigfoot

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<v Speaker 5>behavior and how they are similar and and you know

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<v Speaker 5>you'll see some of the parallels in there and what

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<v Speaker 5>that means for bigfoot research.

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<v Speaker 1>So kind of building on what doctor Bindernogel did in

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<v Speaker 1>his first book, maybe.

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<v Speaker 5>Yeah, exactly. Mine is really deep into primatology. You know,

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<v Speaker 5>I talk about you know, the in that when I

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<v Speaker 5>talk about the Great Apes and their different types of behaviors,

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<v Speaker 5>their modalities there they're how you know, how they they

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<v Speaker 5>habituate areas, how they eat, how they sleep, how they

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<v Speaker 5>mate even and what that means for big with sightings

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<v Speaker 5>and relating the known sightings using witness testimonies to see

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<v Speaker 5>if it correlates with the Great Apes and it just

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<v Speaker 5>so happens that they do.

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<v Speaker 1>Well, yeah, yeah, I think that'd be an obvious one, right,

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<v Speaker 1>But the specifically is where we get to the thing

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<v Speaker 1>that I find most interesting, like how they correlate. Well,

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<v Speaker 1>let's see. Let's see, so let's go back to the

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<v Speaker 1>first book for a minute, because we're talking chronologically here

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<v Speaker 1>the scientific examination. You say that you looked at forty

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<v Speaker 1>nine different scholarly articles, right, like papers written about specifically

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<v Speaker 1>about sasquatches or did you go outside of the lines

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<v Speaker 1>there and look into palaeoanthropology and hominins and that sort

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<v Speaker 1>of thing.

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<v Speaker 4>As well.

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<v Speaker 5>No, I actually wrote the papers myself.

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<v Speaker 1>Oh you wrote the papers. I thought you were referencing papers.

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<v Speaker 5>Oh no, I've actually written forty nine separate papers in

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<v Speaker 5>that book. You know, for example, it starts off with

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<v Speaker 5>a comprehensive scientific profile with Bigfoot, and you know, it

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<v Speaker 5>talks about anatomy and emotion, oral and olafactory capabilities, behavioral characteristics,

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<v Speaker 5>nesting behaviors, communication, ego, you know, ecological adaptations, you know,

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<v Speaker 5>evolutionary hypothesies, you know, evidence and research that's been done,

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<v Speaker 5>hypothetical behavioral strategies. And that's just the first paper. And

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<v Speaker 5>it breaks it down and it's references numbers of work

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<v Speaker 5>across multidisciplinary sciences. So you know, in some in some papers,

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<v Speaker 5>you know, we're referencing paleo you know, paleo anthropology. In

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<v Speaker 5>other papers, we're referencing primatology. In other papers, we have

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<v Speaker 5>references to sociology. You know, depending on where where the

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<v Speaker 5>paper lies and what references I used to you know,

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<v Speaker 5>basically support what I was writing.

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<v Speaker 4>How physically bigger? How many words are pages?

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<v Speaker 1>Are they?

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<v Speaker 5>Well? The first book out as four hundred and two pages.

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<v Speaker 4>Well, I was going to say maybe a lot of

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<v Speaker 4>stuff off like your covers, I figure they got to

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<v Speaker 4>be thick, like a Webster's diction or something.

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<v Speaker 5>Yeah, the next two books really aren't as thick, although

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<v Speaker 5>they are very well referenced as well, But they're very

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<v Speaker 5>narrow focused topics. You know, when you write a book

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<v Speaker 5>about investigation, how much can you really write about conducting

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<v Speaker 5>an investigation. It's just a guide book basically, when you're

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<v Speaker 5>writing about primate behavior. I was looking for very specific

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<v Speaker 5>type of things when it comes to that. So I

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<v Speaker 5>think the Guide to Investigations rounded out to about one

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<v Speaker 5>hundred and five pages. What would Sasquatch two Volume two

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<v Speaker 5>rounded up to about one hundred and thirty one hundred

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<v Speaker 5>and thirty five pages.

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<v Speaker 1>And all these books will be available, how well, they'll all.

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<v Speaker 5>Be available on Amazon as they get released that unfortunately,

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<v Speaker 5>Amazon doesn't give me the links ahead of time before

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<v Speaker 5>they go live, but they'll also be for the first time,

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<v Speaker 5>I'm actually releasing books in not only paperback form, but

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<v Speaker 5>hardcover as well.

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<v Speaker 1>Oh that's cool for us hardcore book collectors.

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<v Speaker 5>And I actually readed my last two books to include

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<v Speaker 5>hardcod for editions, which was The Sasquatch Playbook, and of

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<v Speaker 5>course last year, the Psychology of Bigfoot. Again, that was

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<v Speaker 5>about one hundred and fifty four pages in a very

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<v Speaker 5>narrow scope. I was looking at the psychology of bigfoot witnesses,

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<v Speaker 5>and you know, and the amazing thing when I wrote

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<v Speaker 5>that book, it lurks right into well, why don't we

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<v Speaker 5>have that much photographic evidence? And it lurks to write

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<v Speaker 5>into it because there's a lot of psychological reasons why

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<v Speaker 5>we don't have a lot of photographic evidence.

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<v Speaker 1>On the human side of things. Correct, Yes, gotcha, And

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<v Speaker 1>what are some of those reasons that you found?

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<v Speaker 5>Well, again, when you look at a big foot. When

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<v Speaker 5>somebody sees a bigfoot and it's not in their wheelhouse,

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<v Speaker 5>the mind kind of stutters a bit. You know, aside

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<v Speaker 5>from all the machinations of the limbic system which controls

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<v Speaker 5>our flight or fight response, you know, our bodily functions,

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<v Speaker 5>our respiration, all that wonderful fun stuff. Now think about it.

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<v Speaker 5>You're seeing something, so your mind's trying to catalog when

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<v Speaker 5>am I looking at So that causes a delay, and

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<v Speaker 5>sometimes that will cause people to have post traumatic regression

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<v Speaker 5>where all the bigfoot was there and then it just

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<v Speaker 5>disappeared because their mind is actually removing that traumatic event

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<v Speaker 5>to them. It depends again, a lot of it depends

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<v Speaker 5>on the person. It also depends on the type of

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<v Speaker 5>sighting as well. You know, if somebody's really close to

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<v Speaker 5>one and they're ten feet away, that can be pretty traumatic.

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<v Speaker 5>So the mind actually, like car accident victims won't remember

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<v Speaker 5>sometimes after the point of impact, after a trauma because

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<v Speaker 5>their mind purposely regresses that memory to save it from

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<v Speaker 5>the pain. You know, we see that a lot of

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<v Speaker 5>times in children that are victims of trauma as well.

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<v Speaker 5>They blank that out as they get older. So it's

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<v Speaker 5>it's really a number of things. But getting back to

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<v Speaker 5>the photograph question, mind you, now you have to calmly

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<v Speaker 5>and coolly. You know, people think that well, all these phones,

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<v Speaker 5>you would think that there would be pictures. Well that's

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<v Speaker 5>the problem. Phones are not point and shoot. They're you know,

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<v Speaker 5>open up the phone, swipe, get your app up, put

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<v Speaker 5>it out there, and then put your finger on the

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<v Speaker 5>button and take a picture. So there's a lot of

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<v Speaker 5>processes to a phone to a camera phone. Whereas the

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<v Speaker 5>old day, the the the old you know, where it

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<v Speaker 5>was just point and click maybe focus. Now everything is

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<v Speaker 5>auto focused, and that adds yet another layer of complication

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<v Speaker 5>because if you're filming something in the woods, that first

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<v Speaker 5>item that's there, that first tree with your camera, so

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<v Speaker 5>auto focus is going to be zooming in on. So

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<v Speaker 5>that's another reason why you'll get blurry photographs.

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<v Speaker 4>Right right.

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<v Speaker 1>So let's take a look at that second book, which

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<v Speaker 1>I find pretty interesting because I'm very much an evidence

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<v Speaker 1>kind of guy, and this is kind of walking people

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<v Speaker 1>what they can do to be better investigators. It sounds

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<v Speaker 1>like pretty much. And you have a tremendous amount of

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<v Speaker 1>experience with dealing with people in general because you've been

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<v Speaker 1>a private detective for so long and like he's an investigator,

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<v Speaker 1>the squash detective, and you've been on just countless investigations yourself.

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<v Speaker 1>What are some of the key points for bigfoot researchers

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<v Speaker 1>when they're interviewing a witness. What are some of the

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<v Speaker 1>key points that you're hoping they'll take away from your book?

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<v Speaker 5>Well, number one, how to properly conduct an interview where

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<v Speaker 5>you're putting your witness at ease. How to build a

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<v Speaker 5>baseline with the witness, because when you sit down with

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<v Speaker 5>the witness, you just don't get into okay, what did

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<v Speaker 5>you say? You know you want to talk to that person,

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<v Speaker 5>get to know them a little bit, see how they

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<v Speaker 5>answer true questions. For example, you know, okay, so how

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<v Speaker 5>long you've been living here? Where you're from originally? You know,

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<v Speaker 5>we have a wife, have kids? Oh really, what do

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<v Speaker 5>you do for a living? You're getting honest answers. They

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<v Speaker 5>have no reason to distort any of that, So you're

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<v Speaker 5>getting a baseline read of how they answer questions truthfully.

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<v Speaker 5>So then when you get into the story of itself,

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<v Speaker 5>if they start deviating from what you've seen from you know,

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<v Speaker 5>other questions, that that could give you a flag or

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<v Speaker 5>a gut feeling that something isn't quite right here.

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<v Speaker 1>Stay tuned for more Bigfoot and Beyond with Cliff and Bogo.

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<v Speaker 1>We'll be right back after these messages.

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<v Speaker 1>Very interesting, now, one of the things you mentioned when

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<v Speaker 1>you were kind of giving us the overview of these

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<v Speaker 1>books here a minute ago, was how to set up

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<v Speaker 1>the room for an interview. Sure, that's something that's never

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<v Speaker 1>occurred to me, so laid on us.

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<v Speaker 5>So I'll give you a good example. Is that number one,

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<v Speaker 5>you want to have a setting where there's no distractions,

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<v Speaker 5>so you know, being on a front porch really not

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<v Speaker 5>a good good place to be for a good interview.

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<v Speaker 5>Do you want to obtain your PREMI to record the interview?

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<v Speaker 5>You want to maintain again, maintain an atmosphere with little distraction.

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<v Speaker 5>But you don't want to put a barrier like you know,

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<v Speaker 5>sitting on one side of a desk and having the

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<v Speaker 5>person sitting on the or a table and having the

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<v Speaker 5>person sitting on another side of the table. That's not

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<v Speaker 5>a good idea. You don't want to have any barriers.

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<v Speaker 5>So I prefer to sit chair to chair and you know,

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<v Speaker 5>not have items in front of me. All that often

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<v Speaker 5>I want to kind of be open and that way

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<v Speaker 5>that openness, you can look at their openness with not

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<v Speaker 5>having a table in front of you. So you see

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<v Speaker 5>a lot. You know, from a forensic interviewing standpoint, there's

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<v Speaker 5>things that when you start talking to people, start asking

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<v Speaker 5>him questions, you'll see tells like tapping feet what we

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<v Speaker 5>call the fig leaf, where you know it's just ingrained

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<v Speaker 5>in us that sometimes somebody is getting really defensive. They'll

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<v Speaker 5>actually drop their hands into their groin area and that's

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<v Speaker 5>what they call the fake leaf, and that's a sign

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<v Speaker 5>of being defensive or crossing their arms. But you know

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<v Speaker 5>the fig leafing and tapping of the feet is you know,

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<v Speaker 5>you put a table between yourself, that barrier, you're going

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<v Speaker 5>to miss that cue. At the same point in time,

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<v Speaker 5>you don't want to put a barrier because uh, that

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<v Speaker 5>represents you know, opposition. You want to have a nice

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<v Speaker 5>open seating. You're trying to maintain openness. So it's just

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<v Speaker 5>little things like that.

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<v Speaker 4>So you're telling me that those late night talk show

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<v Speaker 4>hosts are doing it all wrong. Having a desk there

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<v Speaker 4>were trying to get the info out of the guests.

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<v Speaker 5>Well, if you ever if you ever notice a lot

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<v Speaker 5>of the talk show hosts they kind of sit off

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<v Speaker 5>to the Like Letterman was really great. He would slide

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<v Speaker 5>over to actually almost get chair to chair with the

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<v Speaker 5>because that the desk is at an angle, they're not

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<v Speaker 5>sitting perpendicular one another. So that was kind of more

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<v Speaker 5>of like the desk is between him and the audience,

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<v Speaker 5>not necessarily him and his guest. It's they're kind of

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<v Speaker 5>side by side a bit. So that's a little bit different.

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<v Speaker 5>I was just speaking of a joke, Yeah, but no,

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<v Speaker 5>there there's actually a a psychology behind the way they

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<v Speaker 5>set those those desks up.

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<v Speaker 4>I was on Colin O'Brien and it was so weird.

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<v Speaker 4>It was the strangest conversation because I was sitting ahead

336
00:19:17.559 --> 00:19:19.000
<v Speaker 4>of him and I had to like look back. He

337
00:19:19.039 --> 00:19:21.039
<v Speaker 4>was sitting kind of behind me to the side a

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<v Speaker 4>little bit.

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<v Speaker 5>Right. Well, you know, you're a tall guy. He's he's

340
00:19:25.480 --> 00:19:27.240
<v Speaker 5>an immensely tall person, isn't he.

341
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<v Speaker 4>Yeah, he's got that guy's got to int his in

342
00:19:31.759 --> 00:19:35.160
<v Speaker 4>Memborle index is pretty non human. I'd say that guy

343
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<v Speaker 4>has what you see it in person. He's an odd

344
00:19:36.759 --> 00:19:38.839
<v Speaker 4>looking d He's got like a real short torso and

345
00:19:38.880 --> 00:19:40.599
<v Speaker 4>like really long arms and legs.

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<v Speaker 5>Yeah, you know, and that that's again that's primar primate dimorphisism.

347
00:19:48.200 --> 00:19:51.599
<v Speaker 5>I mean, that's why it's no surprise that we have

348
00:19:51.680 --> 00:19:55.319
<v Speaker 5>different you know, we have different chimpanzees that are different sizes.

349
00:19:56.119 --> 00:19:58.359
<v Speaker 5>We have different gorillas that that that come in different

350
00:19:58.359 --> 00:20:01.880
<v Speaker 5>shapes and sizes, orangutan and we you know, sasquatch as well.

351
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<v Speaker 4>So when you're talking about the interview people, I think

352
00:20:05.440 --> 00:20:07.039
<v Speaker 4>we talked about the last time you were on, but

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<v Speaker 4>I think they've changed a lot of stuff now about

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<v Speaker 4>like those tells about if they look to the leaf

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00:20:12.279 --> 00:20:13.079
<v Speaker 4>or look to the right.

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<v Speaker 5>Yeah, the more of the tells are more in what's

357
00:20:17.000 --> 00:20:19.680
<v Speaker 5>the what's going on with the eyebrows and the brow ridge,

358
00:20:20.640 --> 00:20:24.519
<v Speaker 5>And it's not so much about where the eyes necessarily

359
00:20:24.559 --> 00:20:28.440
<v Speaker 5>focus on because there are you know, there's three types

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<v Speaker 5>of receivers. There's there's the people that look, there's the

361
00:20:31.960 --> 00:20:34.599
<v Speaker 5>people that listen, and there's the people that feel or touch.

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<v Speaker 5>And you know, I'm famous for being a listener. I

363
00:20:38.599 --> 00:20:42.839
<v Speaker 5>can listen to things and absorb them very easily. I

364
00:20:42.839 --> 00:20:45.200
<v Speaker 5>don't need it, necessarily need to see it, but I

365
00:20:45.279 --> 00:20:47.759
<v Speaker 5>need to hear it. There are people that need to

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<v Speaker 5>see things to absorb and you know, and then there's

367
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<v Speaker 5>people that need to touch or feel And if you

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00:20:54.920 --> 00:20:57.599
<v Speaker 5>ever get in the conversation, you know, with me, sometimes

369
00:20:57.640 --> 00:21:00.400
<v Speaker 5>I'm always kind of looking around. That was because of

370
00:21:00.440 --> 00:21:03.680
<v Speaker 5>my profession, because I was I always had my head

371
00:21:03.680 --> 00:21:05.559
<v Speaker 5>on a swivel, So you may not get a lot

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00:21:05.599 --> 00:21:08.960
<v Speaker 5>of eye contact from me all the time, especially if

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<v Speaker 5>there's a lot of distractions going on. Conversely, you have

374
00:21:12.200 --> 00:21:15.039
<v Speaker 5>people that you know that will always like when they

375
00:21:15.079 --> 00:21:17.720
<v Speaker 5>talk to you, they touch your arm or they put

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00:21:17.720 --> 00:21:20.559
<v Speaker 5>your hand on their shoulder, and you know, they'll they'll

377
00:21:20.599 --> 00:21:23.720
<v Speaker 5>make statements like do you feel me? You know, so

378
00:21:23.839 --> 00:21:28.039
<v Speaker 5>you get those So based on those three types of receptors,

379
00:21:28.079 --> 00:21:33.559
<v Speaker 5>that eye contact stuff isn't always necessarily prone. What you

380
00:21:33.680 --> 00:21:38.319
<v Speaker 5>need to look for is like eye closing and eye blinking,

381
00:21:39.680 --> 00:21:42.680
<v Speaker 5>Like if you ask a stressful question and somebody is

382
00:21:42.680 --> 00:21:45.240
<v Speaker 5>telling you a lie, you'll, you know, sometimes they get

383
00:21:45.279 --> 00:21:48.960
<v Speaker 5>into a rapid blink mode and they'll blink their eyes

384
00:21:49.000 --> 00:21:51.720
<v Speaker 5>four or five times faster than they have been during

385
00:21:51.759 --> 00:21:54.920
<v Speaker 5>normal questioning, which is why it's so important to establish

386
00:21:54.920 --> 00:21:55.759
<v Speaker 5>that baseline.

387
00:21:56.160 --> 00:21:58.839
<v Speaker 4>So if you're going to try to fool like an interrogator,

388
00:21:58.839 --> 00:22:01.720
<v Speaker 4>investigator or something you get like some botox shots of

389
00:22:02.480 --> 00:22:04.680
<v Speaker 4>lower forehead. Keep your eyebrows study.

390
00:22:04.680 --> 00:22:08.240
<v Speaker 5>Yeah, well exactly. One of the interesting things that a

391
00:22:08.359 --> 00:22:12.279
<v Speaker 5>body language is people that will force their eyebrows up

392
00:22:12.599 --> 00:22:15.519
<v Speaker 5>and it creates quite the crinkle on their brow. But

393
00:22:15.880 --> 00:22:18.759
<v Speaker 5>that is something if you can picture that, think of

394
00:22:18.799 --> 00:22:22.079
<v Speaker 5>a little child getting caught in the cookie jar. I

395
00:22:22.160 --> 00:22:25.559
<v Speaker 5>didn't take that cookie right, and their eyebrows are sticking

396
00:22:25.599 --> 00:22:28.000
<v Speaker 5>straight up, you know, as high as they can be.

397
00:22:28.640 --> 00:22:30.759
<v Speaker 5>And that's something to look out for. When people say

398
00:22:30.920 --> 00:22:34.319
<v Speaker 5>I saw a bigfoot, you know, they're generally the people

399
00:22:34.359 --> 00:22:36.319
<v Speaker 5>that have really seen a big photo was like, listen,

400
00:22:36.519 --> 00:22:39.279
<v Speaker 5>I've seen a bigfoot, and they'll just tell you a

401
00:22:39.279 --> 00:22:42.160
<v Speaker 5>plain matter of fact. They try not to convince you.

402
00:22:42.640 --> 00:22:45.720
<v Speaker 5>And then the other thing I talk about too is

403
00:22:46.599 --> 00:22:50.599
<v Speaker 5>you know it's gott to psychologically makes sense. It doesn't

404
00:22:50.599 --> 00:22:53.759
<v Speaker 5>make sense if you know. Like one of the point

405
00:22:53.759 --> 00:22:58.200
<v Speaker 5>blank ones is that Mississippi SKUNKCPE video that was circulating

406
00:22:58.240 --> 00:23:01.400
<v Speaker 5>that turned out actually it was made for a television series.

407
00:23:02.319 --> 00:23:04.640
<v Speaker 5>The you know, all of a sudden, the guy's filming

408
00:23:04.680 --> 00:23:06.880
<v Speaker 5>for like thirty five seconds and then he turns and

409
00:23:06.960 --> 00:23:09.920
<v Speaker 5>runs away. Well, there was no reason for him to

410
00:23:09.920 --> 00:23:12.680
<v Speaker 5>turn and run away at that particular point. It psychologically

411
00:23:12.799 --> 00:23:15.480
<v Speaker 5>made no sense. So you look at types of things,

412
00:23:15.480 --> 00:23:18.319
<v Speaker 5>it's kind of like the bigfoot behind a tree and

413
00:23:18.799 --> 00:23:21.640
<v Speaker 5>the parent has a child next to them and they, oh, look,

414
00:23:21.680 --> 00:23:24.880
<v Speaker 5>there's a big foot. No, if you've seen something like that,

415
00:23:24.960 --> 00:23:26.640
<v Speaker 5>the first thing you would want to do is protect

416
00:23:26.680 --> 00:23:27.960
<v Speaker 5>that child, get him out of there.

417
00:23:28.480 --> 00:23:30.359
<v Speaker 4>I thought that Mississippi one was real.

418
00:23:31.319 --> 00:23:35.400
<v Speaker 5>Now it turns out that was made for a television

419
00:23:35.480 --> 00:23:40.519
<v Speaker 5>series called Beasts of the Bayou and it aired in

420
00:23:40.559 --> 00:23:44.640
<v Speaker 5>their first episode, and the gentleman that was supposedly the

421
00:23:44.680 --> 00:23:49.400
<v Speaker 5>witness was named Josh high Cliff. Now I got on

422
00:23:49.480 --> 00:23:53.599
<v Speaker 5>my private investigation database and could not find any living

423
00:23:53.680 --> 00:23:57.680
<v Speaker 5>person named Josh high Cliff. But when I Google searched him,

424
00:23:57.720 --> 00:23:59.920
<v Speaker 5>I found him that he was a character in the

425
00:24:00.119 --> 00:24:02.880
<v Speaker 5>Beast of the Bayou and he was actually portrayed by

426
00:24:02.880 --> 00:24:06.759
<v Speaker 5>an actor. And just to show you how phony it is,

427
00:24:07.279 --> 00:24:11.279
<v Speaker 5>they actually blurred the actor's face out when they interviewed

428
00:24:11.359 --> 00:24:14.640
<v Speaker 5>Josh high Cliff. So they you know, why, why if

429
00:24:14.640 --> 00:24:16.759
<v Speaker 5>he was an actor or being portrayed by an actor,

430
00:24:16.799 --> 00:24:19.079
<v Speaker 5>why would you need to blur the face out? They

431
00:24:19.119 --> 00:24:22.440
<v Speaker 5>did it because it was all fake and somebody actually

432
00:24:22.480 --> 00:24:24.279
<v Speaker 5>talked to the actor and he says, yeah, that was

433
00:24:24.319 --> 00:24:28.039
<v Speaker 5>all fake. That was made for the for the television series.

434
00:24:28.480 --> 00:24:29.920
<v Speaker 4>I was thinking of a different one. I was stinking

435
00:24:29.960 --> 00:24:32.720
<v Speaker 4>to the one where the things like squatted down in

436
00:24:32.759 --> 00:24:35.519
<v Speaker 4>a swamp and tear turn up like a dead tree

437
00:24:35.720 --> 00:24:36.160
<v Speaker 4>stump or.

438
00:24:36.160 --> 00:24:38.079
<v Speaker 5>Something, and that's the one. That is the one.

439
00:24:38.400 --> 00:24:40.359
<v Speaker 4>So they released out way before the show came the

440
00:24:40.400 --> 00:24:41.680
<v Speaker 4>episode came out.

441
00:24:41.920 --> 00:24:48.119
<v Speaker 5>They released it about four months before the episode came out. Okay, okay,

442
00:24:49.000 --> 00:24:53.000
<v Speaker 5>And the actual Josh high Cliff, if you look at

443
00:24:53.000 --> 00:24:55.440
<v Speaker 5>his Facebook page, that's the only post he really made.

444
00:24:56.200 --> 00:24:59.079
<v Speaker 5>His YouTube page, same thing, only post he ever made,

445
00:24:59.440 --> 00:25:02.720
<v Speaker 5>and he made one other post on crypto window just

446
00:25:02.799 --> 00:25:05.480
<v Speaker 5>pointing to it. They were trying to generate like this

447
00:25:05.640 --> 00:25:08.839
<v Speaker 5>social media buzz about the video. So when the show

448
00:25:08.880 --> 00:25:11.880
<v Speaker 5>came up, but it's very much like a you know,

449
00:25:12.079 --> 00:25:15.200
<v Speaker 5>was put out by Discovery and it was at the

450
00:25:15.200 --> 00:25:17.920
<v Speaker 5>same time Mountain Monsters was running, and it was kind

451
00:25:17.920 --> 00:25:20.799
<v Speaker 5>of the characters in it were kind of like a

452
00:25:20.920 --> 00:25:23.039
<v Speaker 5>Bayou version of Mountain Monsters.

453
00:25:23.319 --> 00:25:27.119
<v Speaker 4>Okay, I never saw Yeah, So what was what was

454
00:25:27.160 --> 00:25:29.279
<v Speaker 4>the next phase of your book?

455
00:25:29.559 --> 00:25:33.599
<v Speaker 5>The investigations well after the investigation one is what would

456
00:25:33.599 --> 00:25:38.839
<v Speaker 5>Sasquatch Do? Volume two, which looks at primate behavior and

457
00:25:38.880 --> 00:25:43.759
<v Speaker 5>their living modalities in comparison to in comparison to sasquatch

458
00:25:43.799 --> 00:25:47.000
<v Speaker 5>and the reports that we've gotten over the years, and

459
00:25:47.079 --> 00:25:50.920
<v Speaker 5>it kind of builds the base that we actually do

460
00:25:51.079 --> 00:25:53.640
<v Speaker 5>know a lot about what a sasquatch should be able

461
00:25:53.640 --> 00:25:56.119
<v Speaker 5>to do and shouldn't be able to do. And all

462
00:25:56.119 --> 00:25:57.920
<v Speaker 5>we have to do is look at the great apes,

463
00:25:57.960 --> 00:26:02.160
<v Speaker 5>including ourselves, and of course we are in our own

464
00:26:02.200 --> 00:26:06.640
<v Speaker 5>little category. But if you look at the Estralla Estralla, Pitthezenes,

465
00:26:06.680 --> 00:26:10.880
<v Speaker 5>and the art of Pithazenes and even paranthropists which kind

466
00:26:10.920 --> 00:26:15.759
<v Speaker 5>of allegedly died off at one point, they all share

467
00:26:16.079 --> 00:26:21.359
<v Speaker 5>characteristics with a sasquatch, but they all share universal characteristics.

468
00:26:21.680 --> 00:26:25.839
<v Speaker 5>For example, if you look at well, we all have territory.

469
00:26:26.119 --> 00:26:29.279
<v Speaker 5>You know, Homo sapiens call it their home or their yards,

470
00:26:29.359 --> 00:26:33.599
<v Speaker 5>you know, their property. But chimpanzees have territories, and ranks

471
00:26:33.599 --> 00:26:38.640
<v Speaker 5>have territories. Billy apes, bonobos and gorillas, they all have territories.

472
00:26:39.119 --> 00:26:43.160
<v Speaker 5>We all have folk gy activity areas, which as areas

473
00:26:43.200 --> 00:26:47.400
<v Speaker 5>we do things in such as feeding or eating or

474
00:26:48.079 --> 00:26:52.440
<v Speaker 5>mating and uh, you know for some animals. But you

475
00:26:52.480 --> 00:26:56.440
<v Speaker 5>know if for us, an example of our folky areas

476
00:26:56.440 --> 00:27:02.039
<v Speaker 5>would be like malls and stores and schools and places

477
00:27:02.039 --> 00:27:05.519
<v Speaker 5>of employment, and we all have home ranges, and that's

478
00:27:05.559 --> 00:27:08.839
<v Speaker 5>the area within it normally we travel to on any

479
00:27:08.920 --> 00:27:13.039
<v Speaker 5>given day. So like for myself, I travel to work,

480
00:27:13.119 --> 00:27:15.400
<v Speaker 5>I come back home. I may go to the store,

481
00:27:15.440 --> 00:27:17.720
<v Speaker 5>I may go to the mall. That's kind of my range.

482
00:27:17.799 --> 00:27:21.240
<v Speaker 5>I don't necessarily go out of that range, only on

483
00:27:21.279 --> 00:27:24.680
<v Speaker 5>specific times and when I'm doing something. So and again

484
00:27:24.759 --> 00:27:28.839
<v Speaker 5>that's universal to all primates. Now, the interesting thing is

485
00:27:28.839 --> 00:27:33.920
<v Speaker 5>is the behaviors within these areas vary by area, but

486
00:27:34.079 --> 00:27:38.359
<v Speaker 5>not by primates. Primates all have the same typical behavior

487
00:27:38.400 --> 00:27:42.880
<v Speaker 5>in these areas. For example, in a home range, you know,

488
00:27:43.519 --> 00:27:46.039
<v Speaker 5>you will not get a lot of conflict, you will

489
00:27:46.039 --> 00:27:50.000
<v Speaker 5>not get a lot you'll pass by one another with

490
00:27:50.240 --> 00:27:54.759
<v Speaker 5>little or no interaction. And think about the roadside crossings.

491
00:27:54.799 --> 00:27:57.200
<v Speaker 5>Thinks about people walking in the forest and they come

492
00:27:57.240 --> 00:27:59.559
<v Speaker 5>across one and it kind of just looks at them

493
00:27:59.559 --> 00:28:03.000
<v Speaker 5>and does a walk off. That's an example of home range.

494
00:28:03.480 --> 00:28:06.119
<v Speaker 5>Then you have to the other extreme, you have the

495
00:28:06.359 --> 00:28:11.759
<v Speaker 5>territorial behavior. Now if a primate encounters a primeate of

496
00:28:11.759 --> 00:28:14.640
<v Speaker 5>in other species, it will do it will show a

497
00:28:14.640 --> 00:28:18.000
<v Speaker 5>big display, it will act up, it will shake trees,

498
00:28:18.039 --> 00:28:22.000
<v Speaker 5>it will throw rocks, it will vocalize, it will beat

499
00:28:22.000 --> 00:28:27.480
<v Speaker 5>its chest, depending on which particular grade epe you're talking about. Now,

500
00:28:27.519 --> 00:28:32.079
<v Speaker 5>think about people going into areas of the forest where

501
00:28:32.079 --> 00:28:35.000
<v Speaker 5>they're screamed at and have rocks aggressively thrown at them,

502
00:28:35.279 --> 00:28:37.160
<v Speaker 5>and they go to leave and then they feel like

503
00:28:37.240 --> 00:28:40.799
<v Speaker 5>they're being paralleled, they're stalked as they're leaving the area.

504
00:28:40.960 --> 00:28:45.640
<v Speaker 5>Those are all great signs of territorial primate behavior. You know,

505
00:28:46.000 --> 00:28:49.559
<v Speaker 5>There's even been reports just as squat shaking trees to intimidate,

506
00:28:50.200 --> 00:28:51.519
<v Speaker 5>so that's huge.

507
00:28:51.519 --> 00:28:54.200
<v Speaker 4>And then finally that's probably the most common. That's probably

508
00:28:54.240 --> 00:28:57.240
<v Speaker 4>the most common, probably right, you.

509
00:28:57.200 --> 00:29:02.559
<v Speaker 5>Know, hard to say, I think vocalizing and physically yeah,

510
00:29:02.799 --> 00:29:06.720
<v Speaker 5>but physically shaking those trees is a big And then

511
00:29:06.759 --> 00:29:09.960
<v Speaker 5>finally you have the folky of activity areas, which it

512
00:29:10.039 --> 00:29:13.039
<v Speaker 5>depends on what the activity is. And the best way

513
00:29:13.079 --> 00:29:16.279
<v Speaker 5>I can describe it is think about our behaviors. You know,

514
00:29:16.559 --> 00:29:19.720
<v Speaker 5>if we're at the mall, our behavior is pretty much

515
00:29:19.799 --> 00:29:23.440
<v Speaker 5>the same as our home range. Right, It's all kind

516
00:29:23.440 --> 00:29:26.440
<v Speaker 5>of But if we're in a school and somebody enters

517
00:29:26.480 --> 00:29:29.559
<v Speaker 5>that school that doesn't belong there, our behavior is going

518
00:29:29.640 --> 00:29:32.480
<v Speaker 5>to be a lot different. So it depends on what

519
00:29:32.559 --> 00:29:36.559
<v Speaker 5>type of activity is going on that And again this

520
00:29:36.640 --> 00:29:40.480
<v Speaker 5>is across the board for all primates. So and guess

521
00:29:40.519 --> 00:29:45.240
<v Speaker 5>what it all correlates with. People report in sasquat sidings.

522
00:29:45.759 --> 00:29:49.240
<v Speaker 5>So I think scientifically, or at least from an investigator standpoint,

523
00:29:49.839 --> 00:29:54.759
<v Speaker 5>their moo meets exactly the same as other great apes.

524
00:29:56.960 --> 00:30:00.039
<v Speaker 1>Stay tuned for more Bigfoot and Beyond with Cliff and

525
00:30:00.039 --> 00:30:02.359
<v Speaker 1>Bobo will be right back after these messages.

526
00:30:08.720 --> 00:30:12.880
<v Speaker 5>I took it from a primatology, not necessarily a biology

527
00:30:12.960 --> 00:30:15.039
<v Speaker 5>approach like a field biology. When I took it from

528
00:30:15.079 --> 00:30:18.920
<v Speaker 5>a primatology approach and a behavioral approach makes sense.

529
00:30:19.000 --> 00:30:21.839
<v Speaker 4>Yeah, that's that's a great way of a size should

530
00:30:21.839 --> 00:30:22.359
<v Speaker 4>approach it.

531
00:30:22.880 --> 00:30:26.000
<v Speaker 5>Well. The reason why is is if you want, if

532
00:30:26.000 --> 00:30:29.279
<v Speaker 5>you think about it, these areas, you will get more

533
00:30:29.319 --> 00:30:32.480
<v Speaker 5>recidivism or in case people don't know what that is,

534
00:30:32.759 --> 00:30:37.319
<v Speaker 5>it's a chance of encounter, multiple encounters. You will get

535
00:30:37.319 --> 00:30:42.279
<v Speaker 5>a higher residivism rate in your territory. And there's a

536
00:30:42.480 --> 00:30:44.920
<v Speaker 5>sub area of the home range called the core area

537
00:30:45.640 --> 00:30:48.960
<v Speaker 5>so you know, you will get higher recidivism in those

538
00:30:49.079 --> 00:30:53.640
<v Speaker 5>in FokI areas activity areas, you will get recidivism for

539
00:30:53.720 --> 00:30:56.119
<v Speaker 5>a certain period of time and then it will die off.

540
00:30:56.640 --> 00:30:59.799
<v Speaker 5>And again that's very consistent with sasquad reports too.

541
00:31:00.440 --> 00:31:02.279
<v Speaker 4>So are you mostly like you're out in the field

542
00:31:02.319 --> 00:31:02.880
<v Speaker 4>yourself so much?

543
00:31:02.920 --> 00:31:02.960
<v Speaker 1>No?

544
00:31:03.160 --> 00:31:07.640
<v Speaker 4>Is you even just focus like sitting down and writing

545
00:31:07.799 --> 00:31:09.480
<v Speaker 4>or have you still getting out in the field.

546
00:31:09.559 --> 00:31:12.799
<v Speaker 5>But in New York that's what we do. During the wintertime,

547
00:31:13.480 --> 00:31:18.240
<v Speaker 5>My research areas are pretty much shut down by our

548
00:31:18.559 --> 00:31:22.599
<v Speaker 5>d C Department of Environmental Conservation because they don't they

549
00:31:22.599 --> 00:31:25.279
<v Speaker 5>don't fix the roads until after the winter. So I'm

550
00:31:25.279 --> 00:31:28.000
<v Speaker 5>sure there's trees down in the roads, there's ice, there's snow.

551
00:31:28.039 --> 00:31:30.720
<v Speaker 5>They don't ow the areas and they don't want anybody

552
00:31:30.759 --> 00:31:33.240
<v Speaker 5>going in there and getting trapped, and you know, then

553
00:31:33.240 --> 00:31:35.400
<v Speaker 5>they got to do rescues and all that fun stuff,

554
00:31:35.720 --> 00:31:38.920
<v Speaker 5>So they close those attack. My area is gated and

555
00:31:38.960 --> 00:31:42.480
<v Speaker 5>put it with a padlock until you know, they take

556
00:31:42.519 --> 00:31:46.200
<v Speaker 5>care of the roads and trim up the fallen trees

557
00:31:46.279 --> 00:31:48.799
<v Speaker 5>and et cetera. The roads and making sure the roads

558
00:31:48.799 --> 00:31:51.240
<v Speaker 5>are safe and not going to collapse because of landslides

559
00:31:51.279 --> 00:31:53.799
<v Speaker 5>or anything like that. So, yeah, so there's a lot

560
00:31:53.960 --> 00:31:55.680
<v Speaker 5>you know, the only time I'll go out of somebody

561
00:31:55.759 --> 00:31:59.559
<v Speaker 5>has an active report during the wintertime. And really you

562
00:31:59.559 --> 00:32:02.119
<v Speaker 5>think about you know, there was years I used to

563
00:32:02.160 --> 00:32:03.680
<v Speaker 5>do that. I used to go out in the wintertime.

564
00:32:04.240 --> 00:32:06.119
<v Speaker 5>I'm an old guy. Now I'm an older guy. That

565
00:32:06.200 --> 00:32:08.640
<v Speaker 5>we put it that way. I don't want to spin

566
00:32:08.720 --> 00:32:12.319
<v Speaker 5>my wheels and be miserable out there, you know, if

567
00:32:12.440 --> 00:32:16.000
<v Speaker 5>need be, I go out. But you know, we're on

568
00:32:16.039 --> 00:32:18.440
<v Speaker 5>the cusp of March coming up, and then April I

569
00:32:18.519 --> 00:32:20.960
<v Speaker 5>start gearing up because then they'll start opening up the

570
00:32:21.039 --> 00:32:23.160
<v Speaker 5>areas and then I'll be back out in the field

571
00:32:23.200 --> 00:32:27.039
<v Speaker 5>in April, you know as well. And then we take June, July,

572
00:32:27.279 --> 00:32:30.160
<v Speaker 5>and part of August off because it gets really buggy

573
00:32:30.920 --> 00:32:34.559
<v Speaker 5>and it gets miserable anyway, And if you think about it,

574
00:32:34.640 --> 00:32:38.200
<v Speaker 5>in New York, are our main months for big foot

575
00:32:38.200 --> 00:32:40.640
<v Speaker 5>sightings or September and October.

576
00:32:40.559 --> 00:32:44.200
<v Speaker 4>Yes, those are the prime months for a lot of

577
00:32:44.240 --> 00:32:45.119
<v Speaker 4>North America.

578
00:32:45.480 --> 00:32:49.720
<v Speaker 5>Yep. And I you know, interestingly, I've been leveraging, you know,

579
00:32:49.880 --> 00:32:53.759
<v Speaker 5>talking about practicing what I preach. I've been leveraging AI

580
00:32:54.759 --> 00:33:00.440
<v Speaker 5>and I got something coming out real soon. I used

581
00:33:01.480 --> 00:33:05.279
<v Speaker 5>AI to scrub all of the or many of the

582
00:33:05.400 --> 00:33:09.079
<v Speaker 5>databases that exist on the web, and it came up

583
00:33:09.119 --> 00:33:13.400
<v Speaker 5>with stats of things like what state Bigfoot seeing the most,

584
00:33:13.480 --> 00:33:18.039
<v Speaker 5>and by what percentage, what time of day they're seeing

585
00:33:18.079 --> 00:33:22.680
<v Speaker 5>the most, what month they're seeing the most, what color

586
00:33:22.759 --> 00:33:25.480
<v Speaker 5>they are, and what was the weather during those stings.

587
00:33:25.920 --> 00:33:29.119
<v Speaker 5>And the beautiful thing about AI is that you can

588
00:33:29.440 --> 00:33:35.039
<v Speaker 5>do years of research within weeks now, and I think

589
00:33:35.640 --> 00:33:38.200
<v Speaker 5>a proper use of it. It's not ever going to

590
00:33:38.359 --> 00:33:41.319
<v Speaker 5>find Bigfoot, but it can certainly guide you in the

591
00:33:41.400 --> 00:33:46.680
<v Speaker 5>right path, and it can give you insight rather than

592
00:33:47.440 --> 00:33:51.839
<v Speaker 5>you know that it may pull out some things like

593
00:33:51.920 --> 00:33:57.279
<v Speaker 5>I didn't know until today that Massachusetts in Pennsylvania, you know,

594
00:33:58.000 --> 00:34:03.319
<v Speaker 5>all have the same peak months. Well, Massachusetts a little

595
00:34:03.319 --> 00:34:07.039
<v Speaker 5>bit different, but Pennsylvania and New York have the same

596
00:34:07.119 --> 00:34:13.440
<v Speaker 5>peak months for sasquat sightings. Massachusetts is slightly different, but

597
00:34:13.559 --> 00:34:16.679
<v Speaker 5>not by much. Like in New York and Pennsylvania, the

598
00:34:16.679 --> 00:34:22.760
<v Speaker 5>peak sighting months or September and October. In Massachusetts, it

599
00:34:22.800 --> 00:34:27.440
<v Speaker 5>was August in September, So I found that quite interesting

600
00:34:27.559 --> 00:34:30.800
<v Speaker 5>that they have more of a peak in August than

601
00:34:30.840 --> 00:34:32.000
<v Speaker 5>we do here in New York.

602
00:34:32.639 --> 00:34:35.519
<v Speaker 1>So with these timelines of sightings and whatnot. Did you

603
00:34:35.519 --> 00:34:37.199
<v Speaker 1>do any correlation to hunting season?

604
00:34:37.760 --> 00:34:41.559
<v Speaker 5>I have not yet. I mean literally, this information I

605
00:34:41.760 --> 00:34:44.719
<v Speaker 5>just cultivated within twenty four hours.

606
00:34:44.800 --> 00:34:47.960
<v Speaker 1>No pun intended, I cultivated.

607
00:34:47.400 --> 00:34:53.760
<v Speaker 5>Culstivated, culstivated, right, but literally, that's how quick you can

608
00:34:53.760 --> 00:34:56.960
<v Speaker 5>get this information out now. AI is such an incredible

609
00:34:57.000 --> 00:34:58.159
<v Speaker 5>tool of used properly.

610
00:34:58.679 --> 00:35:00.599
<v Speaker 1>Which platform of a are you using?

611
00:35:01.239 --> 00:35:04.679
<v Speaker 5>I use a multitude of them. I use chat GBT

612
00:35:04.960 --> 00:35:07.960
<v Speaker 5>for some things, and I actually have the professional version

613
00:35:08.000 --> 00:35:13.559
<v Speaker 5>of chat GPT, and it's phenomenal for you know, researching

614
00:35:13.800 --> 00:35:19.079
<v Speaker 5>scientific papers and articles, I use Claude AI, and for

615
00:35:19.800 --> 00:35:24.840
<v Speaker 5>website extrapolation in data mining, I use grock, which is

616
00:35:24.920 --> 00:35:29.000
<v Speaker 5>the excess platform. And I'll tell you what. I was

617
00:35:29.039 --> 00:35:33.760
<v Speaker 5>blown away how thorough Grock and web scrub. I was like, wow,

618
00:35:34.079 --> 00:35:37.880
<v Speaker 5>I mean just like tons of information, a lot quicker

619
00:35:37.960 --> 00:35:42.920
<v Speaker 5>and more thorough than chat GPT. Although chat gbt is

620
00:35:43.280 --> 00:35:47.119
<v Speaker 5>very excellent for putting, formatting things the way you want

621
00:35:47.159 --> 00:35:53.119
<v Speaker 5>them format it and graphics like, you know, although grock

622
00:35:53.199 --> 00:35:57.880
<v Speaker 5>makes nice tables, but chat gbt makes beautiful graphics out

623
00:35:57.880 --> 00:36:00.840
<v Speaker 5>of it. Like that's what I use to redo Hender

624
00:36:00.920 --> 00:36:03.960
<v Speaker 5>Farrenback's charts. You know, I put his chart in there,

625
00:36:04.039 --> 00:36:06.239
<v Speaker 5>upload his charts. Hey, can you make this a little

626
00:36:06.280 --> 00:36:10.239
<v Speaker 5>more appealing and more modernized than what it appears to be?

627
00:36:10.280 --> 00:36:13.199
<v Speaker 5>And it came out with a beautiful, nice sliding chart.

628
00:36:13.920 --> 00:36:16.239
<v Speaker 4>So you spend quite a bit of time on learning

629
00:36:16.320 --> 00:36:20.320
<v Speaker 4>this AI product, Like you try all these different platforms.

630
00:36:20.400 --> 00:36:21.800
<v Speaker 4>You're just supposed to put in a lot of a

631
00:36:21.840 --> 00:36:23.800
<v Speaker 4>lot of time to get this good at it? Right?

632
00:36:24.239 --> 00:36:27.920
<v Speaker 5>Oh yeah, yeah, I mean it's no. I mean when

633
00:36:27.960 --> 00:36:30.159
<v Speaker 5>you when you write up, I mean I'll have to

634
00:36:30.159 --> 00:36:32.960
<v Speaker 5>write all Usually I write a couple of paragraphs as

635
00:36:33.119 --> 00:36:37.000
<v Speaker 5>what you know, parameters I want, and then it'll come

636
00:36:37.039 --> 00:36:40.400
<v Speaker 5>out and then you have to refine that sometimes, you know,

637
00:36:40.519 --> 00:36:45.960
<v Speaker 5>and certainly like you know chat GBT, I refine. You know,

638
00:36:46.039 --> 00:36:48.199
<v Speaker 5>you have to refine it a few times before you

639
00:36:48.280 --> 00:36:51.000
<v Speaker 5>get exactly you know, your the charts and stuff the

640
00:36:51.079 --> 00:36:53.559
<v Speaker 5>way you want them. You know, it's the same with

641
00:36:53.599 --> 00:36:56.199
<v Speaker 5>all of them. You know, you can forget something very easily,

642
00:36:56.320 --> 00:37:00.800
<v Speaker 5>or it can miss. It's not a pure speaking platform,

643
00:37:00.960 --> 00:37:04.800
<v Speaker 5>so sometimes it can misinterpret what you say. So you

644
00:37:04.880 --> 00:37:07.119
<v Speaker 5>have to well, I made a mistake there. Let me

645
00:37:07.199 --> 00:37:10.239
<v Speaker 5>restate that and you can tell it. Hey, I you

646
00:37:10.239 --> 00:37:13.199
<v Speaker 5>know you're doing Okay, I like how this looks, but

647
00:37:13.440 --> 00:37:16.400
<v Speaker 5>I need this. You can speak English to it and

648
00:37:16.440 --> 00:37:18.599
<v Speaker 5>it understands you, and that's the amazing thing.

649
00:37:19.239 --> 00:37:20.880
<v Speaker 1>Yeah, the AI stuff that I've been playing with a

650
00:37:20.880 --> 00:37:23.760
<v Speaker 1>little bit when I do when I speak to it,

651
00:37:23.800 --> 00:37:25.599
<v Speaker 1>which is great because I literally I am speaking English

652
00:37:25.800 --> 00:37:27.400
<v Speaker 1>because sometimes I don't have time to type or I'm

653
00:37:27.440 --> 00:37:29.320
<v Speaker 1>on my phone. I'd never like typing on my phone,

654
00:37:29.360 --> 00:37:30.400
<v Speaker 1>you know. I'm just some one of those. I won't

655
00:37:30.400 --> 00:37:32.039
<v Speaker 1>even do emails on my phone. If I can help it,

656
00:37:33.000 --> 00:37:35.800
<v Speaker 1>I just say, hey, do this, blah blah blah. Here's

657
00:37:35.800 --> 00:37:37.599
<v Speaker 1>my question. I'm going to do this, and here's I

658
00:37:37.920 --> 00:37:39.519
<v Speaker 1>was using it a lot with my barn. Actually I'm

659
00:37:39.559 --> 00:37:42.119
<v Speaker 1>redoing everybody knows I'm doing redoing my outbuilding to house

660
00:37:42.119 --> 00:37:44.440
<v Speaker 1>my footprint cast collection. So I said, yeah, my barns

661
00:37:44.440 --> 00:37:46.639
<v Speaker 1>seventy foot by thirty five feet and the rise of

662
00:37:46.719 --> 00:37:48.639
<v Speaker 1>six feet above the blah blah blah and this and that.

663
00:37:48.719 --> 00:37:50.840
<v Speaker 1>How am I going to determine this? And I's kind

664
00:37:50.880 --> 00:37:53.880
<v Speaker 1>of describing my project to it just by speaking to it.

665
00:37:54.000 --> 00:37:55.920
<v Speaker 1>And then I asked the question to it, and then

666
00:37:55.960 --> 00:37:58.639
<v Speaker 1>it restates it far more simply than I do. I mean, really,

667
00:37:58.639 --> 00:38:00.639
<v Speaker 1>I should get Ai. I should I should get Ai

668
00:38:00.719 --> 00:38:03.519
<v Speaker 1>to be a host of my podcast because I'm so

669
00:38:03.599 --> 00:38:06.639
<v Speaker 1>long winded about things. It is much more concise than

670
00:38:06.679 --> 00:38:09.480
<v Speaker 1>I am. And I asked a question and it tells

671
00:38:09.480 --> 00:38:11.320
<v Speaker 1>me the question that I asked and a far more

672
00:38:11.320 --> 00:38:13.880
<v Speaker 1>intelligent way to say it, and then quite simply the answer,

673
00:38:13.920 --> 00:38:16.119
<v Speaker 1>and it's very, very impressive. I said, no, that's not

674
00:38:16.119 --> 00:38:18.400
<v Speaker 1>what I meant. What I meant is this? Or have

675
00:38:18.519 --> 00:38:21.119
<v Speaker 1>even caught mistakes with Ai and said, well, that's not true,

676
00:38:21.159 --> 00:38:24.800
<v Speaker 1>because this now, what do you say? And I've had

677
00:38:24.840 --> 00:38:27.000
<v Speaker 1>AI tell me you're right. That was based on a

678
00:38:27.039 --> 00:38:31.119
<v Speaker 1>twenty fourteen study. The twenty eighteen studies says, and they say, wow, wow.

679
00:38:31.400 --> 00:38:33.239
<v Speaker 1>Getting to a point where I'm talking to computers and

680
00:38:33.239 --> 00:38:35.920
<v Speaker 1>it understands me. I'm not exactly comfortable with it, but

681
00:38:35.960 --> 00:38:37.800
<v Speaker 1>I'm forced to live here, so we'll see.

682
00:38:38.199 --> 00:38:40.480
<v Speaker 5>Let me give you a great example of how something

683
00:38:40.599 --> 00:38:45.119
<v Speaker 5>saved a bunch of time. Is I decided now this,

684
00:38:45.119 --> 00:38:47.000
<v Speaker 5>this is how much I'm playing around with this. Two

685
00:38:47.159 --> 00:38:51.119
<v Speaker 5>nights ago, maybe three nights ago, I decided I wanted

686
00:38:51.159 --> 00:38:54.679
<v Speaker 5>to write a foil request to the New York State

687
00:38:54.679 --> 00:38:58.440
<v Speaker 5>Department of Environmental Conservation and see if I can get

688
00:38:58.480 --> 00:39:02.280
<v Speaker 5>copies of any report or its logs and audio recordings

689
00:39:02.320 --> 00:39:04.960
<v Speaker 5>of any big foot signing reports that they may have

690
00:39:05.039 --> 00:39:10.880
<v Speaker 5>received for since twenty seventeen. So I type that into

691
00:39:11.079 --> 00:39:15.280
<v Speaker 5>jet GBT with the parameters. I don't know the address

692
00:39:15.360 --> 00:39:17.239
<v Speaker 5>of where I got to send this to, or an

693
00:39:17.280 --> 00:39:20.159
<v Speaker 5>email address where I could submit it. I don't know

694
00:39:20.199 --> 00:39:23.000
<v Speaker 5>any of that, but you know it knows who I

695
00:39:23.039 --> 00:39:27.360
<v Speaker 5>am from previous conversations. And I hit submit, and it

696
00:39:27.440 --> 00:39:30.679
<v Speaker 5>printed up this freedom of information law to New York

697
00:39:30.719 --> 00:39:36.119
<v Speaker 5>States guidelines. It gave it printed the address and the

698
00:39:36.199 --> 00:39:38.599
<v Speaker 5>email address to submit it to, right at the top

699
00:39:38.639 --> 00:39:42.679
<v Speaker 5>of the letter. So by taking five minutes to typing

700
00:39:42.719 --> 00:39:45.599
<v Speaker 5>in what I wanted, it produced this letter for me.

701
00:39:46.199 --> 00:39:48.840
<v Speaker 5>But I could just copy into my word process to

702
00:39:48.920 --> 00:39:54.320
<v Speaker 5>my Microsoft word and then send it as a PDF

703
00:39:54.960 --> 00:40:00.159
<v Speaker 5>to the New York State DC. Within eight hours, I

704
00:40:00.199 --> 00:40:03.679
<v Speaker 5>got a reply saying, okay, we're processing your request. Here's

705
00:40:04.079 --> 00:40:08.320
<v Speaker 5>here's a log into our dec portal. Here's your temporary password.

706
00:40:08.679 --> 00:40:12.280
<v Speaker 5>Will documents up and then needed. If you're an electronic fashion,

707
00:40:12.519 --> 00:40:15.079
<v Speaker 5>we'll notify you and they will be uploaded to the portal.

708
00:40:15.679 --> 00:40:17.679
<v Speaker 5>It took me ten minutes to do all of it.

709
00:40:18.719 --> 00:40:21.800
<v Speaker 5>So when you leverage AI to do things like write

710
00:40:21.800 --> 00:40:24.559
<v Speaker 5>a foil request, or depending on which state you are,

711
00:40:24.599 --> 00:40:27.000
<v Speaker 5>sometimes it's called the Foyer request, it's either a Free

712
00:40:27.079 --> 00:40:29.480
<v Speaker 5>of Information Act or freedom of information and the law,

713
00:40:29.519 --> 00:40:32.440
<v Speaker 5>depending on which state you live in New York State

714
00:40:32.519 --> 00:40:37.920
<v Speaker 5>happened to be foil. It does it in minutes, and

715
00:40:38.320 --> 00:40:40.360
<v Speaker 5>you know, it gives you all the information. You don't

716
00:40:40.400 --> 00:40:43.320
<v Speaker 5>have to extrapolate, you don't have to look for proper format.

717
00:40:43.400 --> 00:40:46.400
<v Speaker 5>It does that all for you. It cites the law,

718
00:40:46.480 --> 00:40:49.840
<v Speaker 5>it cites the timelines by law they have to respond to.

719
00:40:50.400 --> 00:40:53.280
<v Speaker 5>It gives you the address, the phone, everything you need

720
00:40:53.800 --> 00:40:56.480
<v Speaker 5>and it's just like wow, talk about time saving.

721
00:40:56.920 --> 00:40:59.400
<v Speaker 1>Now there's a dark side, of course to this AI think,

722
00:40:59.440 --> 00:41:00.880
<v Speaker 1>and all the big fters are aware of it, that

723
00:41:00.880 --> 00:41:03.320
<v Speaker 1>it can generate lots of images or even footage of

724
00:41:03.400 --> 00:41:07.360
<v Speaker 1>such creatures. Have you, since you're much more fluent at

725
00:41:07.360 --> 00:41:10.360
<v Speaker 1>this sort of thing than I am, have you found

726
00:41:10.400 --> 00:41:14.400
<v Speaker 1>any telltale markers and say images that you can quickly

727
00:41:14.440 --> 00:41:16.199
<v Speaker 1>tell that if it's AI generated or not.

728
00:41:16.679 --> 00:41:22.079
<v Speaker 5>Yes, absolutely, You got to remember every AI image photograph,

729
00:41:22.119 --> 00:41:27.119
<v Speaker 5>per se, is a layered photograph. The AI builds them

730
00:41:27.119 --> 00:41:30.719
<v Speaker 5>by layer and guess what happens when you put it

731
00:41:30.800 --> 00:41:35.480
<v Speaker 5>through an error level analysis test, which you can find

732
00:41:35.519 --> 00:41:38.559
<v Speaker 5>on photo forensics dot com. You'll see all the layers,

733
00:41:39.239 --> 00:41:42.840
<v Speaker 5>so you know, there hasn't been a an AI photo yet.

734
00:41:42.840 --> 00:41:43.480
<v Speaker 5>That's fooled me.

735
00:41:44.119 --> 00:41:45.960
<v Speaker 1>Interesting, And how many have you seen?

736
00:41:46.400 --> 00:41:49.239
<v Speaker 5>Oh a bunch. I ran through a number through tests

737
00:41:49.719 --> 00:41:51.840
<v Speaker 5>when I started looking at this. I ran probably a

738
00:41:51.880 --> 00:41:56.719
<v Speaker 5>dozen different AI pictures through that, including AI pictures of Bigfoot,

739
00:41:56.760 --> 00:41:59.800
<v Speaker 5>AI pictures that people were generating, you know, like putting

740
00:42:00.559 --> 00:42:04.360
<v Speaker 5>into their yeah, into their family pictures or whatever that

741
00:42:04.400 --> 00:42:07.320
<v Speaker 5>they were using all AI generated stuff, or you know,

742
00:42:07.360 --> 00:42:10.199
<v Speaker 5>show me Batman playing golf, you know, and you put

743
00:42:10.239 --> 00:42:11.039
<v Speaker 5>that into the thing.

744
00:42:11.079 --> 00:42:11.239
<v Speaker 4>You know.

745
00:42:11.360 --> 00:42:14.519
<v Speaker 5>Look at the layers. So all the AI pictures show

746
00:42:14.639 --> 00:42:17.880
<v Speaker 5>telltale signs of having being layered, because that's how they're built.

747
00:42:17.920 --> 00:42:20.480
<v Speaker 5>By layer. It sets the background up and then it

748
00:42:20.480 --> 00:42:24.920
<v Speaker 5>puts that. It's not like a traditional digital photograph. It's

749
00:42:24.920 --> 00:42:27.239
<v Speaker 5>actually a piece of it's actually a piece of arts

750
00:42:27.320 --> 00:42:30.000
<v Speaker 5>version of photoshop, but basically right, exactly, well, it's a

751
00:42:30.000 --> 00:42:31.280
<v Speaker 5>piece of artwork basically.

752
00:42:31.639 --> 00:42:33.840
<v Speaker 1>And of course all pictures of Batman playing golf would

753
00:42:33.880 --> 00:42:36.199
<v Speaker 1>be AI because he does that at night and you'd

754
00:42:36.199 --> 00:42:37.599
<v Speaker 1>never know he was there and.

755
00:42:37.559 --> 00:42:39.840
<v Speaker 5>He also he also does the mid night bowling too.

756
00:42:41.519 --> 00:42:44.400
<v Speaker 2>Batman would never sully himself with such a trivial support

757
00:42:44.400 --> 00:42:48.760
<v Speaker 2>as golf, he'd be bowling for sure.

758
00:42:48.920 --> 00:42:51.679
<v Speaker 5>No, that's not true. Robin is his caddy. He makes

759
00:42:51.760 --> 00:42:53.639
<v Speaker 5>Robin carry the clubs everywhere he goes.

760
00:42:55.719 --> 00:42:59.119
<v Speaker 1>Stay tuned for more Bigfoot and Beyond with Cliff and Bogo.

761
00:42:59.280 --> 00:43:07.639
<v Speaker 1>Will be right back after these messages. So you're you're

762
00:43:07.639 --> 00:43:09.400
<v Speaker 1>in New York right now, and you're probably neck deep

763
00:43:09.400 --> 00:43:11.719
<v Speaker 1>in snow, I'm assuming, just because that's what that part

764
00:43:11.719 --> 00:43:14.079
<v Speaker 1>of the country is undergoing right now. So I'm assuming

765
00:43:14.119 --> 00:43:17.119
<v Speaker 1>you've mit out to the woods much lately, which probably

766
00:43:17.119 --> 00:43:19.280
<v Speaker 1>gives you an opportunity to focus on some other things.

767
00:43:19.320 --> 00:43:21.519
<v Speaker 1>So what have you been up to, Well, you.

768
00:43:21.480 --> 00:43:24.800
<v Speaker 5>Know, aside from all this research I've been doing and

769
00:43:24.880 --> 00:43:30.360
<v Speaker 5>coming up with ideas for the upcoming research season, I'm

770
00:43:30.519 --> 00:43:32.719
<v Speaker 5>just running the old podcast and we're doing a little

771
00:43:32.719 --> 00:43:35.119
<v Speaker 5>something different. We don't have too many guests on as

772
00:43:35.159 --> 00:43:38.760
<v Speaker 5>we used to now, but we we have like discussions

773
00:43:38.800 --> 00:43:42.199
<v Speaker 5>and we talk about science, and we talk about discoveries

774
00:43:42.960 --> 00:43:46.960
<v Speaker 5>and and how they relate necessarily to you know, the

775
00:43:47.000 --> 00:43:50.119
<v Speaker 5>Bigfoot mystery. You know, like if there's a new hominin

776
00:43:50.199 --> 00:43:52.559
<v Speaker 5>discovery like they you know, we had a discussion about

777
00:43:52.559 --> 00:43:57.480
<v Speaker 5>Homo juliensis just a few weeks ago when that was

778
00:43:57.599 --> 00:44:00.519
<v Speaker 5>when that discovery came out or got you know, published

779
00:44:01.480 --> 00:44:06.199
<v Speaker 5>in one of the periodicals, and we talked about that

780
00:44:06.280 --> 00:44:10.199
<v Speaker 5>and what it could mean. And and I find that

781
00:44:10.239 --> 00:44:13.360
<v Speaker 5>stuff fascinating. I mean, there's so many shows now that

782
00:44:13.440 --> 00:44:16.400
<v Speaker 5>are out there that they have you know, people in

783
00:44:16.519 --> 00:44:18.639
<v Speaker 5>and out a lot of times, and I don't want

784
00:44:18.639 --> 00:44:21.360
<v Speaker 5>to get repetitive to that. So we do guests occasionally.

785
00:44:22.039 --> 00:44:24.920
<v Speaker 5>Uh yeah, once in a great while, we'll do witnesses,

786
00:44:25.000 --> 00:44:28.760
<v Speaker 5>we'll do investigations, we'll do and everything is done live time,

787
00:44:28.840 --> 00:44:32.599
<v Speaker 5>so we'll actually do a photo analysis livetime. You know,

788
00:44:32.639 --> 00:44:34.480
<v Speaker 5>we'll take a look. Let's take a look at this picture.

789
00:44:34.559 --> 00:44:38.159
<v Speaker 5>Let's you know, let's what do you think? Well, this

790
00:44:38.239 --> 00:44:40.119
<v Speaker 5>is what I think. And let's look at the story

791
00:44:40.239 --> 00:44:43.960
<v Speaker 5>and does the story make sense? And we we actually

792
00:44:44.000 --> 00:44:48.400
<v Speaker 5>had one guy who had a sighting that he didn't

793
00:44:48.400 --> 00:44:50.519
<v Speaker 5>want to com on because he was too shook by it,

794
00:44:51.679 --> 00:44:53.519
<v Speaker 5>and it took him a couple of months before he

795
00:44:53.559 --> 00:44:55.639
<v Speaker 5>came out of a shell about it. He wasn't a

796
00:44:55.639 --> 00:44:59.960
<v Speaker 5>big foot believer and he was asleep in his suv

797
00:45:00.960 --> 00:45:05.039
<v Speaker 5>and so he woke up to one looking in at him,

798
00:45:05.760 --> 00:45:07.760
<v Speaker 5>and it shook him to his core. And that was

799
00:45:07.840 --> 00:45:12.320
<v Speaker 5>in I want to say northern California, but if my

800
00:45:12.400 --> 00:45:14.480
<v Speaker 5>memory and I know it was in California, I'm not

801
00:45:14.559 --> 00:45:18.320
<v Speaker 5>quite exactly true where. And then it's about a month

802
00:45:18.400 --> 00:45:21.079
<v Speaker 5>later he decided to go revisit it, and he kind

803
00:45:21.119 --> 00:45:24.440
<v Speaker 5>of but I had extensive conversation with him via email,

804
00:45:25.239 --> 00:45:28.320
<v Speaker 5>and you know, if you watch the guy tell his story,

805
00:45:28.320 --> 00:45:30.400
<v Speaker 5>it was very real. So I got permission to show

806
00:45:30.480 --> 00:45:33.599
<v Speaker 5>that and we reviewed, Hey, you want to see an

807
00:45:33.639 --> 00:45:38.840
<v Speaker 5>interview where a witness look is giving off the vibe

808
00:45:38.880 --> 00:45:43.599
<v Speaker 5>of authentic. Here it is. So you know, we showed

809
00:45:43.599 --> 00:45:46.880
<v Speaker 5>that video and little snips and show the behavioral markers

810
00:45:46.920 --> 00:45:51.519
<v Speaker 5>of somebody telling the truth versus somebody not telling the truth.

811
00:45:52.000 --> 00:45:54.960
<v Speaker 5>So it's like, we do a lot of very educational stuff.

812
00:45:55.000 --> 00:45:57.320
<v Speaker 5>We do a lot of and of course, you know,

813
00:45:57.400 --> 00:46:00.719
<v Speaker 5>we we you know, we we try to be funny

814
00:46:02.119 --> 00:46:06.239
<v Speaker 5>at times. It's hard work, man, Yeah, yeah, but we're

815
00:46:06.280 --> 00:46:08.639
<v Speaker 5>podcasting three nights a week now. We do two one

816
00:46:08.679 --> 00:46:11.639
<v Speaker 5>hour shows on Wednesday and Fridays, and we do our

817
00:46:11.679 --> 00:46:12.800
<v Speaker 5>two hour show on.

818
00:46:12.800 --> 00:46:16.679
<v Speaker 1>Sunday, Holy Smokes three a week, buttons for punishment.

819
00:46:17.119 --> 00:46:20.840
<v Speaker 5>Yeah, we just like the interaction with our audience, which

820
00:46:20.880 --> 00:46:23.199
<v Speaker 5>is really the nice thing about being Lives. We have

821
00:46:23.280 --> 00:46:27.760
<v Speaker 5>a chat room and they add to the mix the

822
00:46:27.920 --> 00:46:31.760
<v Speaker 5>last questions. They'll ask some great questions. And you know,

823
00:46:31.880 --> 00:46:34.840
<v Speaker 5>years ago, when you know, we started podcasting way back

824
00:46:34.880 --> 00:46:38.519
<v Speaker 5>in two thousand and six, we were on blog talk radio,

825
00:46:38.519 --> 00:46:42.320
<v Speaker 5>which we had a phone line. But technology has come

826
00:46:42.440 --> 00:46:45.400
<v Speaker 5>so far that now we can put up PowerPoint presentations

827
00:46:45.400 --> 00:46:48.159
<v Speaker 5>on our shows. We can put up pictures, we can

828
00:46:48.679 --> 00:46:53.159
<v Speaker 5>upload videos, we can show videos, pictures, sounds, we can

829
00:46:53.199 --> 00:46:56.920
<v Speaker 5>play sounds and audio recordings from the field. Heck, we

830
00:46:57.000 --> 00:46:58.880
<v Speaker 5>had a couple of years ago we actually did a

831
00:46:59.039 --> 00:47:03.519
<v Speaker 5>live broadcast from an investigation we did and we caught

832
00:47:03.519 --> 00:47:07.039
<v Speaker 5>a tree knock and uh, later on we had a

833
00:47:07.119 --> 00:47:09.199
<v Speaker 5>rock thrown at us and it was like we were

834
00:47:09.280 --> 00:47:12.159
<v Speaker 5>talking and you hear this rock come through a s

835
00:47:14.360 --> 00:47:18.360
<v Speaker 5>and it was clearly caught. So a lot of cool

836
00:47:18.360 --> 00:47:22.840
<v Speaker 5>stuff that the you know, the platform can do now.

837
00:47:23.280 --> 00:47:25.159
<v Speaker 1>And of course they're archived as well, so people can

838
00:47:25.159 --> 00:47:26.880
<v Speaker 1>go catch past shows.

839
00:47:26.559 --> 00:47:30.400
<v Speaker 5>Absolutely yep, there forever archive. So we try to do

840
00:47:30.519 --> 00:47:34.519
<v Speaker 5>shows that are evergreen a lot of times, and that's

841
00:47:34.559 --> 00:47:37.320
<v Speaker 5>the important thing about the education. But those are kind

842
00:47:37.320 --> 00:47:41.400
<v Speaker 5>of evergreen, and we have some really great discussions, and

843
00:47:41.760 --> 00:47:43.840
<v Speaker 5>it's kind of like a variety show where it's me

844
00:47:43.920 --> 00:47:46.079
<v Speaker 5>and my my, my co host Chris Bennett, and we

845
00:47:46.239 --> 00:47:49.760
<v Speaker 5>just kind of wrap. He's in the south in Kentucky.

846
00:47:49.800 --> 00:47:52.000
<v Speaker 5>I'm from the north here in New York, and we

847
00:47:52.000 --> 00:47:54.840
<v Speaker 5>we have this nice little, you know, North South dichotomy

848
00:47:54.880 --> 00:47:57.480
<v Speaker 5>going on between the two of us. It turns out

849
00:47:57.519 --> 00:48:01.199
<v Speaker 5>to be a wonderful thing. And you know, people I

850
00:48:01.599 --> 00:48:04.199
<v Speaker 5>think show up because they like us, which is kind

851
00:48:04.199 --> 00:48:07.159
<v Speaker 5>of cool, rather than just for the information itself.

852
00:48:07.559 --> 00:48:09.559
<v Speaker 1>Oh yeah, you have to have likable hosts, which is

853
00:48:09.599 --> 00:48:11.679
<v Speaker 1>why I can't figure out why anybody listens to us.

854
00:48:11.719 --> 00:48:13.079
<v Speaker 1>But we seem to work out anyway.

855
00:48:13.159 --> 00:48:15.480
<v Speaker 5>Oh, you guys are fine.

856
00:48:16.400 --> 00:48:17.880
<v Speaker 1>That's just how we look, though, I mean, how do

857
00:48:17.920 --> 00:48:18.320
<v Speaker 1>we act.

858
00:48:19.480 --> 00:48:22.639
<v Speaker 5>You act like like the rest of us do like

859
00:48:22.679 --> 00:48:25.360
<v Speaker 5>twelve year old you know, we're old men in twelve

860
00:48:25.440 --> 00:48:30.000
<v Speaker 5>year old minds. Yeah, you know, I had to add

861
00:48:30.000 --> 00:48:34.840
<v Speaker 5>a rim shot actually to my soundboard classic. You know,

862
00:48:34.960 --> 00:48:36.960
<v Speaker 5>it's kind of you got to have fun doing it,

863
00:48:37.079 --> 00:48:39.400
<v Speaker 5>you can't, you know, it's a serious topic. But you

864
00:48:39.519 --> 00:48:42.840
<v Speaker 5>got to have a little bit of levity to understand

865
00:48:42.880 --> 00:48:45.039
<v Speaker 5>that we are talking about Bigfoot A lot of times.

866
00:48:45.320 --> 00:48:48.760
<v Speaker 4>We always see we take Bigfoot Seri's just not ourselves.

867
00:48:48.719 --> 00:48:53.559
<v Speaker 5>Right, exactly exactly. You gotta have self deprecation. You gotta

868
00:48:54.000 --> 00:48:58.119
<v Speaker 5>pick on yourself because we're you know, like Cliff and

869
00:48:58.159 --> 00:49:02.079
<v Speaker 5>you know this, We're only people. We're just normal, average

870
00:49:02.159 --> 00:49:07.119
<v Speaker 5>joes that just got spun into this world where occasionally

871
00:49:07.199 --> 00:49:08.920
<v Speaker 5>a spotlight or two comes on us.

872
00:49:09.719 --> 00:49:12.199
<v Speaker 4>How you said for Cliff, you know this like I.

873
00:49:12.920 --> 00:49:15.159
<v Speaker 1>You have no idea, Boba, We're not see the rest

874
00:49:15.159 --> 00:49:17.519
<v Speaker 1>of us are normal people. Bobo, you want something.

875
00:49:20.719 --> 00:49:22.920
<v Speaker 2>Bobo had talked about being on Conan O'Brien, and so

876
00:49:23.000 --> 00:49:25.159
<v Speaker 2>I don't think anyone else in this call can say that,

877
00:49:25.239 --> 00:49:25.599
<v Speaker 2>you know what I.

878
00:49:25.679 --> 00:49:27.840
<v Speaker 1>Mean, No, no, no, but.

879
00:49:27.840 --> 00:49:30.519
<v Speaker 5>We won't make mention that Becher was on Letterman.

880
00:49:31.679 --> 00:49:34.000
<v Speaker 4>And Carson, Yeah he wasn't he?

881
00:49:34.679 --> 00:49:36.760
<v Speaker 1>So are you speaking live this year anywhere? Are you

882
00:49:36.760 --> 00:49:37.639
<v Speaker 1>trying to take in the year?

883
00:49:37.880 --> 00:49:41.639
<v Speaker 5>Yeah, this year we're doing. I have my first library president.

884
00:49:41.719 --> 00:49:47.400
<v Speaker 5>Well it's actually a paranormal slash cryptid gathering at the

885
00:49:47.519 --> 00:49:49.719
<v Speaker 5>Kinderhook Public Library that's going to be in May I'm

886
00:49:49.719 --> 00:49:52.800
<v Speaker 5>not quite sure in the date on that, but that's

887
00:49:52.840 --> 00:49:54.880
<v Speaker 5>going to be in May, and that's kind of cool

888
00:49:54.920 --> 00:49:57.880
<v Speaker 5>because that's home in the Kinderhook Creature Big Flap back

889
00:49:57.920 --> 00:50:05.320
<v Speaker 5>in the nineteen eighties. Then in August we have Hocking Hills.

890
00:50:05.760 --> 00:50:07.599
<v Speaker 1>Oh good, I'll be there too, Yep.

891
00:50:07.719 --> 00:50:12.760
<v Speaker 5>Awesome, And I have the Pennsylvania Bigfoot Camping Adventure and

892
00:50:13.679 --> 00:50:16.119
<v Speaker 5>Doctor Meldrum will be there and Ron Moorehead will be

893
00:50:16.159 --> 00:50:20.320
<v Speaker 5>there as well. And then of course, just announced in

894
00:50:20.440 --> 00:50:23.480
<v Speaker 5>September at the end of September is the White Hall

895
00:50:23.880 --> 00:50:26.840
<v Speaker 5>Sasquad's Calling Festival, which I will be I think for

896
00:50:26.920 --> 00:50:28.920
<v Speaker 5>the fifth year in a row. I'll be m seeing

897
00:50:29.000 --> 00:50:34.000
<v Speaker 5>the Calling contest, which is awesome. And that's that's kind

898
00:50:34.000 --> 00:50:36.400
<v Speaker 5>of fun because I got like a you know, seven

899
00:50:36.480 --> 00:50:39.360
<v Speaker 5>eight hundred people in the stands there in the Amphitheater

900
00:50:39.679 --> 00:50:43.079
<v Speaker 5>and I get to do my shtick comedy, so.

901
00:50:43.119 --> 00:50:45.280
<v Speaker 1>A captive audience. That's what I used the podcast for,

902
00:50:45.519 --> 00:50:47.639
<v Speaker 1>trying that new jokes and stuff like that. Yeah.

903
00:50:47.719 --> 00:50:50.400
<v Speaker 5>Yeah, So I'm doing that. And I got an invite

904
00:50:50.440 --> 00:50:53.960
<v Speaker 5>to go to the There is a Missouri big Foot Conference.

905
00:50:54.000 --> 00:50:55.960
<v Speaker 5>I got an invite just to show up there and

906
00:50:56.079 --> 00:50:58.639
<v Speaker 5>they'll give me a table gratis and set up. Come

907
00:50:58.679 --> 00:51:01.440
<v Speaker 5>on down, set up your own welcome, set up, sell

908
00:51:01.480 --> 00:51:01.960
<v Speaker 5>your books.

909
00:51:02.440 --> 00:51:03.800
<v Speaker 1>So, Steve, were kind of coming to the end of

910
00:51:03.800 --> 00:51:05.840
<v Speaker 1>the hour here, but I know you have a little

911
00:51:05.840 --> 00:51:07.239
<v Speaker 1>bit extra time before you have to hop on your

912
00:51:07.280 --> 00:51:10.960
<v Speaker 1>own podcast and go do that. And you are best known,

913
00:51:10.960 --> 00:51:12.519
<v Speaker 1>at least to me, like one of the things that

914
00:51:12.559 --> 00:51:16.159
<v Speaker 1>I put you on a pedestal about is busting hoaxes.

915
00:51:16.599 --> 00:51:19.039
<v Speaker 1>You are just ruthless and you get to the bottom

916
00:51:19.079 --> 00:51:21.920
<v Speaker 1>of it. I've literally told my wife today, Steve's a

917
00:51:21.960 --> 00:51:23.719
<v Speaker 1>good friend and I'm so glad because I wouldn't want

918
00:51:23.719 --> 00:51:27.400
<v Speaker 1>them after me because you find stuff about people and

919
00:51:27.440 --> 00:51:29.960
<v Speaker 1>you have busted so many hoaxes. I think it would

920
00:51:29.960 --> 00:51:31.719
<v Speaker 1>be a lot of fun if you stayed on for

921
00:51:31.800 --> 00:51:34.679
<v Speaker 1>the bonus episode for our members that comes out every Thursday,

922
00:51:35.039 --> 00:51:37.599
<v Speaker 1>and we can talk about some of the hoaxes that

923
00:51:37.639 --> 00:51:39.199
<v Speaker 1>you've dealt with in the past and some of the

924
00:51:39.199 --> 00:51:41.360
<v Speaker 1>most ridiculous things that you've run across, and that sort

925
00:51:41.400 --> 00:51:43.760
<v Speaker 1>of stuff. If you have an extra times well, of course,

926
00:51:44.440 --> 00:51:47.000
<v Speaker 1>and tell everybody where they can buy your books as

927
00:51:47.039 --> 00:51:48.800
<v Speaker 1>they come out. One more time to remind.

928
00:51:48.559 --> 00:51:51.360
<v Speaker 5>Everybody they have news. Go to Amazon dot com. I

929
00:51:51.400 --> 00:51:54.239
<v Speaker 5>will also have links on my website at squatchdtective dot

930
00:51:54.239 --> 00:51:57.480
<v Speaker 5>com and if you go over to YouTube dot com

931
00:51:57.519 --> 00:52:01.559
<v Speaker 5>forward slash at squatch dtv. In every show description we

932
00:52:01.679 --> 00:52:04.440
<v Speaker 5>post links for the books, so as the new links

933
00:52:04.480 --> 00:52:05.920
<v Speaker 5>come out for the Blue books.

934
00:52:05.679 --> 00:52:08.280
<v Speaker 1>They'll be there, okay, And your podcast is on YouTube.

935
00:52:08.960 --> 00:52:13.000
<v Speaker 5>Podcast is on YouTube. And we do our mainstay show

936
00:52:13.000 --> 00:52:16.440
<v Speaker 5>with Sundays at nine pm Eastern and occasion we'll do

937
00:52:16.480 --> 00:52:18.920
<v Speaker 5>a show on Wednesday at nine pm and or we'll

938
00:52:18.960 --> 00:52:21.559
<v Speaker 5>do a show on Friday at nine pm. They're not guaranteed,

939
00:52:21.599 --> 00:52:24.360
<v Speaker 5>but we sometimes we hit three shows a week, depending

940
00:52:24.400 --> 00:52:27.199
<v Speaker 5>on how busy it is, and it gives us time

941
00:52:27.199 --> 00:52:30.079
<v Speaker 5>to get breaking news in there if any stuff comes.

942
00:52:29.920 --> 00:52:32.960
<v Speaker 1>Up under promise over deliver sounds awesome.

943
00:52:32.800 --> 00:52:34.519
<v Speaker 3>And all those links will be in the show notes.

944
00:52:35.039 --> 00:52:38.119
<v Speaker 4>Cool, all right on, Steve. Cool for you to join us.

945
00:52:38.119 --> 00:52:40.480
<v Speaker 4>We appreciate it. All the people love to hear from you.

946
00:52:41.239 --> 00:52:43.360
<v Speaker 4>So thanks for making the time and I'm looking forward

947
00:52:43.360 --> 00:52:46.400
<v Speaker 4>to seeing those books come out, reading them and folks

948
00:52:46.639 --> 00:52:49.760
<v Speaker 4>pick them up. They're always good. Steve knows what he's

949
00:52:49.760 --> 00:52:50.320
<v Speaker 4>talking about.

950
00:52:50.679 --> 00:52:53.280
<v Speaker 5>Well, you know what I'm going to do for you, guys.

951
00:52:53.639 --> 00:52:59.239
<v Speaker 5>I will email those books two because I have BDF

952
00:52:59.239 --> 00:53:01.800
<v Speaker 5>copies of all them. I'll send them off to you

953
00:53:02.280 --> 00:53:06.480
<v Speaker 5>and Cliff and to Matt after I get done podcasting tonight,

954
00:53:06.519 --> 00:53:08.920
<v Speaker 5>so you have all three copies of them in PDF.

955
00:53:08.480 --> 00:53:09.239
<v Speaker 3>For thank you.

956
00:53:09.280 --> 00:53:10.159
<v Speaker 1>Yeah, thank you so much.

957
00:53:10.360 --> 00:53:12.920
<v Speaker 4>Yeah. Thanks Steve, Right on there you goes. He's a

958
00:53:12.960 --> 00:53:16.760
<v Speaker 4>nice guy. Folks support him. So okay, Steve, thanks a lot,

959
00:53:16.880 --> 00:53:18.960
<v Speaker 4>and good luck with the book. And until next week,

960
00:53:19.039 --> 00:53:23.840
<v Speaker 4>y'all keep it squatchy.

961
00:53:25.440 --> 00:53:28.760
<v Speaker 1>Thanks for listening to this week's episode of Bigfoot and Beyond.

962
00:53:29.119 --> 00:53:31.400
<v Speaker 1>If you liked what you heard, please rate and review

963
00:53:31.480 --> 00:53:34.800
<v Speaker 1>us on iTunes, subscribe to Bigfoot and Beyond wherever you

964
00:53:34.800 --> 00:53:38.000
<v Speaker 1>get your podcasts, and follow us on Facebook and Instagram

965
00:53:38.079 --> 00:53:41.639
<v Speaker 1>at Bigfoot and Beyond podcast. You can find us on

966
00:53:41.679 --> 00:53:45.360
<v Speaker 1>Twitter at Bigfoot and Beyond that's an N in the middle,

967
00:53:45.760 --> 00:53:48.800
<v Speaker 1>and tweet us your thoughts and questions with the hashtag

968
00:53:49.000 --> 00:54:01.960
<v Speaker 1>Bigfoot and Beyond d
