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Speaker 1: Tonight's guests include looking back on the life that you leave.

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Speaker 2: Him, then rested home in the crowd, just to go

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around through the crate, the feeling go the fire you

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dancing around. All we hear is the sound of treating

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and no one cares where he's coming from. My ears

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are string and feeding.

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Speaker 3: I guess we are knew from the start.

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Speaker 2: Jesus, Other days not cause you know one of these days,

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no be no world get lancers.

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Speaker 4: Who what a sass.

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Speaker 2: Is my coast love, my co leading, the fuse of

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the ashes, the spirits.

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Speaker 1: That f.

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Speaker 5: Looking down the house for life.

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Speaker 6: From the Untold Radio Network, It's.

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Speaker 4: Untold Radio Am.

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Speaker 6: With Monster Quest producer host Doug Hicheck and co host

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Jeff Pirella Jr.

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Speaker 4: Untold Radio Am is going live.

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Speaker 6: Well now, this show is for entertainment purposes only.

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Speaker 7: Yep, that's the ticket.

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Speaker 6: Now here are your Untold Radio A M.

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Speaker 1: Hosts Doug high Check and Jeff Corella Jr.

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Speaker 8: And here we are Hello, Hello Jeff Perilla better known

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as Hello all of the untoldi ens. And happy birthday.

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Yeah see mhm we were paying attention here. Ah, I

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just gotta take a nice deep breath. I got into

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the studio and of course turned the lights on. Both

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of them burned out timing the timing. So anyhow, I

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found some ring lights and we're still going. Yeah, we

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always figured out we have a pretty powerful lineup tonight.

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I think we have a guest Mike Mullen. I'm not

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sure if it's Mullen's or just Mike Mullen. I think

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Mike Mullen, and he is going to be sharing multiple

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encounters during his childhood that are really amazing and they

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tie into something that me and David are. David Ellis

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another guests tonight are studying, and then we're supposed to

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be joined also by Managa Hala, another sound expert who

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I don't I don't believe he's done any other broadcasts.

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Speaker 7: I'm not sure. Yeah, and we haven't had him on

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for sure before. I know that.

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Speaker 8: No, No, we never have. No, I don't think he's

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done any David nod your head if you think Monoga

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Haill has done podcasts. Yes, oh, okay, not many though

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I've never seen one one.

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Speaker 7: And then, uh, what else do we have?

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Speaker 8: We're going to be diving in other new territories that

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sound tonight, and then we've got a regular features, got.

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Speaker 7: A tech breakdown break in a while.

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Speaker 8: No, it's been a little while. Well, they're hard to

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you know.

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Speaker 7: You can't come up.

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Speaker 8: With an endless amount of technology to throw at this mystery.

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It is somewhat limited. But when the new things pop

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up and I hear about new things, or I get

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an idea and then look it up and find out,

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oh that is the thing, we'll share it. Yeah, it's

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kind of cool and we're gonna skip clip picked tonight

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because we have such a full show.

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Speaker 7: Yeah, a lot to talk about, a lot to talk about.

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Speaker 8: So yeah, yeah, get into that comfy chair. Unlike me,

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we had to turn lights up. You need to turn

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yours down. Grab that comfy chair. You got to remove

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the dog from the chair of the cat, take their chair.

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You can put them on your lap. Grab a billow,

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grab your grab your favorite snack beverage, demo lights and

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buckle in. I guess for maybe, I kind of it's

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gonna get a little chilly tonight with what we're going

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to be talking about.

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Speaker 7: Speaking of, we got snow here last night. What yes

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is going on?

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Speaker 8: Okay, so we've gone from the pig pong weather. We've

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got eighties one day, and then I looked out the

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window last night and there was snow on the ground.

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We still have snow. I mean some of it's melted,

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a lot of it as but there's still snow out there.

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And it's going to be in the eighties again this week.

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Speaker 7: I'm sure ready for springing summer. I don't like these contrasts.

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Speaker 8: So anyway, Well, this is episode two ninety four. Let's

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get it underway, Jeff.

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Speaker 7: I think we should probably do some weird and fast

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news first. What do you think?

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Speaker 8: Yeah, I think that's a really good pick.

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Speaker 7: Yeah, you're brilliant.

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Speaker 5: Let's do it.

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Speaker 7: Why not help some weird fastness. Okay, here we go.

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Speaker 2: It's time for weird and fast knees.

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Speaker 8: Oh should we do it really fast? Okay? First off,

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pretty cool. Kind of reminds me of DNA. These are

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entire galaxies. They found a chain of twenty length in

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their linked galaxies, says Astronomers have identified massive structures in

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deep space a chain of twenty galaxies. Now, how big

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is a galaxy?

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Speaker 5: Jeff?

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Speaker 7: They're light years ago years across.

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Speaker 8: But when you pull out like this and you look

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at it through a telescope, they look small right. Instead

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of these things being randomly scattered, these galaxies appear connected,

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possibly tracing part of the cosmic web. The invisible structure

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believed to be the shape to shape the universe. And

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what makes the discovery even stranger is how organized it looks.

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The alignment is tighter than expected, suggesting gravity and dark manner,

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maybe structuring the universe in a more precise way. It

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looks like the belt I'm wearing now.

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Speaker 7: Yeah, that's galaxy.

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Speaker 8: My galaxy, my galaxy belt. Yeah yeah, oh it's the

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next Oh, this is weird. Ants apparently perform life saving

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surgery on each other. Scientists have observed a species of

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ants that perform amputations on injured nestmates to prevent deadly infections.

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We just leave it right there, yeah, so you don't

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start itching. This is when an ant is wounded. Others

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access the damage and will bite off a limb if

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it if it improves their survival chances. Even more impressive,

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they don't do this randomly. They appear to evaluate the

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injured and only act when it's beneficial. It's one of

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the clearest examples of complex targeted medical behavior and insects.

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Speaker 7: That's pretty amazing.

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Speaker 8: Well, that is weird. Little battlefield surgeons codic gosh. Well,

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I once used ants when I was in spelunking in

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Belize and tore my shirt and Pete Zabrinsky said, oh,

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we'll fix that right up, and he grabbed ants and

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then he staple they bit the fabric held it together

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and they bit it immediately, and he literally had a

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bunch of ant heads holding my shirt together.

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Speaker 7: Yeah. I've actually seen emergency stitches done that way using

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anheads to hold. Yeah, it's you know, a cut together

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on skin. Pretty amazing.

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Speaker 8: Yeah, well you haven't lived, you have you've been stitched

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up with ant heads.

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Speaker 7: Oh my god.

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Speaker 8: But the way they would viciously bite the fabric, I'll

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never forget that thing.

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Speaker 7: Oh.

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Speaker 8: Next, we have new human cell discovered during pregnant Researchers

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have discovered a previously unknown type of human cell that

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only appears during pregnancy. This cell helps regulate the immune system,

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preventing the body from rejecting a developing fetus. The finding

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could change how we understand complications like miscarriage and preclamsia.

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It also highlights how the human body can temporarily create

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an entirely new biological system. Unlike building a custom organ

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or pregnancy and then removing it afterwards. And did you

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know of the latest discovery that's kind of linked to

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fetuses And I didn't know this until yesterday, that they

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are discovering that human urine has tons of stem cells.

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Speaker 7: Oh wow, I didn't know that.

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Speaker 8: Okay, like twenty thousand stem cells. But anyhow, and the

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reason it's in the urine, I guess it's because when

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a baby's in the womb, it's urinating and a lot

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of it escapes into the into the uh oh, sure,

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this internal system and they end up drinking it and

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breathing it in and it helps them develop their organs,

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the urine does. So they looked at it and they

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found all these stem cells. They said that there could

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be up to twenty thousand dollars in stem cells in

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every urination.

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Speaker 7: Wow.

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Speaker 8: Yeah, depending on obviously, and who you are. I'm sure

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I'm down to fifty bucks about twenty. But anyhow, I

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just did something new I heard yesterday and I went, oh,

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that is really promising, And apparently they can culture. If

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you can't take your urine, don't do this, don't try

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this at all. Take your urine and you can culture

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it and.

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Speaker 7: I play the disclaimer first before you act.

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Speaker 8: You can culture urine stem cells and they multiply in

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the urine after it's out of you. That's so then

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I could get mine from fifty cents up to like

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seventy five, about fifty if I just put it in

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a in a in a bottle. There you go.

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Speaker 7: So start staying, start staying at sure.

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Speaker 8: Yeah, stay, stay tuned for more more, put your urine.

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Speaker 7: Facts, put in your deposit box in the bank, say

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for later.

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Speaker 8: But no, I'm serious about the money. They said some

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people are p and l up to twenty thousand dollars

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in stem cells.

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Speaker 7: Wow, so I don't know who show this sounds like

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a good job. I should look into that.

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Speaker 8: Paid to pee drink drink beer.

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Speaker 7: Yeah, I'd be good at that job.

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Speaker 8: Okay. Next, whale communication works like language. Okay, Well, the

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new research shows that sperm whales communicate using clicking sounds

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that follow structured patterns similar to human language. I thought

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we already knew this. These clicks aren't random, They formed

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sequences that may function like words or phrases. Once again,

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I thought we knew this. Scientists are now investigating whether

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whales have dialects or cultural variations between groups. Now, that

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would be interesting if confirmed. It could mean whales possess

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one of the most complex communication systems ever discovered outside YouTube.

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Speaker 7: Well, I already know that orcas, killer whales do that.

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There's at least five or six dialects, maybe more, really

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completely different dialects. Yeah. Different. Oh, they're fascinating. Different dialects,

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different diets based on their communities.

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Speaker 8: Killer whales or like ones going you know how y'all

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blow a hole and they have a southern one and

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then they have the Fargo accent.

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Speaker 7: Yeah, they do. They have different they have different dialects,

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and they can't communicate with each other. It's pretty crazy.

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Speaker 8: All right. I wonder if dinosaurs have uh dialects. New

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dinosaurs species found in the US. Paleontologists have identified a

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new species of dinosaur dating back to the Triassic Period.

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It's kind of where I was born, in what is

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now New Mexico. These early dinosaurs were smaller and less

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specialized than their later descendants. Now, Jeff, you obviously took that.

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Speaker 7: Picture, yeah this morning.

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Speaker 8: Yeah, these early dinosaurs were less were smaller and less

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specialized than their later descendant. Each new discovery helped fill

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the puzzle of how dinosaurs evolved and eventually dominated Earth.

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This one shows just how experimental early dinosaur evolution really was.

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So there you go. You get what feathers for. We

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got a nosary and teal haird there. Oh no, it's

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pretty pretty, uh pretty colorful. What are we getting next?

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Scientists move closer to a diabetes cure, which is good news.

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Researchers are making progress toward a potentially functional cure for

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type one diabetes, focusing on restoring the body's ability. It's

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probably done with urine. Everything goes full circle here and

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I'm told.

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Speaker 7: Do they learn it from sperm whales?

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Speaker 8: Yeah? Type one diabetes focusing on restoring the body's ability

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to produce insulin instead of managing the disease. It's successfully,

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it's if successful. This approach could eliminate the need for

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dangerous injections. It's part of a larger shift in medicine

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from treating symptoms to actually reversing conditions. I won't hold

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my breath.

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Speaker 7: That would be something that would change a lot of lives.

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Speaker 8: That would but I'm not holding my breath. Oh this

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is interesting. It's just just what we need Jeff. Sand batteries. Yeah,

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sand battery could be a new way to store renewable energy.

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Engineers are testing a battery made from sand that stores

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heat generated by renewable energy sources. The system heats sand

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with energy that abundant and then releases that heat when

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it's needed. Well, what kind of what are we talking here?

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We're talking it looks like that bag right, giant, We're

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not talking, so we're not talking. Double A's there, okay, And.

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Speaker 7: I'm like, let's move on next.

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Speaker 8: I like my double a's. AI surgeons are or AI

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is struggling with medical imaging. Despite rapid advances. Researchers found

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that AI still has limitations when analyzing medical scans like

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X rays and MRIs. In some cases, it misses subtle

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but critical details.

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Speaker 7: Imagine that weird thought.

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Speaker 8: We all know how much AI suddenly hallucinates. It's so

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weird when it does. I had to tell me something

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the other day that it's been doing for me forever,

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and it just goes, oh, no, we can't do that.

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I'm like, well, you do it all the time, and

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I'm like, what's the problem. And then I just rebooted

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it and it worked.

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Speaker 7: Fine, which AI were you using God? I think Rock.

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I made better luck with Rock than anything else. I

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think Rock.

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Speaker 8: Oh and by the way, my AI now talks to me.

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Speaker 7: Oh, I didn't do that.

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Speaker 8: Yeah, oh, I just start talking to me. I didn't know.

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It just started talking to me. Kind of freaked me

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out one day there, and I think I was What

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was I doing?

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Speaker 7: Oh I was?

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Speaker 8: I had TV on in the background, and it was

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answering the TV.

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Speaker 7: Oh weird, yea, the talking on the team. I've had

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some pretty wild conversations with AI. It's interesting stuff.

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Speaker 8: Yeah, okay, uh And says this shows that AI is

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not ready to replace doctors. Instead, it's becoming a tool

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that still requires human oversight, especially in high stakes field

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like medicine, where accuracy is everything. Yeah, and you got

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to get this next thing here, Jeff. This will keep

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you see, it'll measure the stem cells. How many of that? See,

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everything's tying together in full circle here.

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Speaker 7: Yeah.

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Speaker 8: Smart toilets are becoming health monitors. Scientists have developed AI

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powered toilets that can analyze urine. See we're right back

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here again, and steel for signs of disease. I don't

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think i'd want that. Oh gosh, it's like, well, these

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systems use sensors and imaging. Oh my god, they're gonna

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take They're gonna image your your yeah steel.

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Speaker 7: If AI smart enough, someday it'll be like, how did

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I get this job?

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Speaker 9: Yeah?

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Speaker 8: Could you imagine it taking pictures of your stool? So

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the system uses sensors and imaging to detect conditions like dehydration, infections,

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and even cancer markers. The goal is passive health monitoring.

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They just want to steal the stem cells. Probably, I

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want to see it's a plot turning everyday routines into

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diagnostic tools. It may sound strange, but this kind of

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technology could catch health problems earlier than ever before, potentially

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saving lives.

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Speaker 7: There we go, o, god, enough about urine.

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Speaker 8: That Yeah that came up like three times, this fact

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to the way.

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Speaker 7: I think it's time for a weird fact of the week. Yeah,

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let's do it.

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Speaker 1: It's now time for untold radio weird fact to the

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week that is kind of weird.

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Speaker 8: Sorry it's good, I got busted, didn't I delightful?

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Speaker 7: Yeah it's okay, it's really good.

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Speaker 8: Ice cold? Oh what do we have here this week?

298
00:21:23,319 --> 00:21:28,000
I like this how your body replaces itself, And I

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00:21:28,000 --> 00:21:32,240
think your skeleton replaces itself every ten years. You had

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00:21:32,240 --> 00:21:36,720
a brand new skeleton. Jeff, what if it's different?

301
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Speaker 7: It is, you're not the same person when you were born.

302
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That's true. All your almost, all your cells are replaced almost.

303
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Speaker 8: It says your body is constantly rebuilding itself in ways

304
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most people never realize. Your skin replaces itself every few weeks.

305
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That's free. I don't even believe it. Every few weeks.

306
00:22:00,720 --> 00:22:06,640
You haven't, no, see, it messes up on medical stuff.

307
00:22:06,720 --> 00:22:08,119
They just talked about that.

308
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Speaker 7: But it does replace itself. That's true.

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Speaker 8: Yeah, well I know it doesn't. But every few weeks.

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Speaker 7: I don't think that's right.

311
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Speaker 8: Where do we have like an Edgar suit that we

312
00:22:18,200 --> 00:22:24,279
wear and we just don't zip it. It says your

313
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gutlining every few days, and even your bones are slowly

314
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renewed over time, In fact, within seven to ten years.

315
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Hang on, hang on, I gotta hit the Burt button. Burton, Now,

316
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I'm good, it says the Uh. It's like your body

317
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is quietly remodeling itself NonStop, piece by piece. But here's

318
00:22:54,440 --> 00:22:58,599
where it gets strange. Your brain doesn't follow the same rules.

319
00:23:00,359 --> 00:23:05,240
Most of the neurons, the cells that store your memories, personality,

320
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and identity stay with you for life where it comes.

321
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I did my booke, I knew it was gone. Do

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you see how polight that burke was? It was more like.

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Speaker 7: I was like that.

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Speaker 8: Let's see here what else it says? That means parts

325
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of your brain I have been there since childhood, holding

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on to your experiences, while the rest of your body

327
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has been completely swapped out. So there you go, Jeff,

328
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you got an old freaking brain.

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Speaker 7: Used.

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Speaker 8: We can renew it with some of those year year

331
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and your your addicts.

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Speaker 7: Themselves all start. I'll start saving.

333
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Speaker 8: Saving Yeah, oh yeah, I get yourself. Get yourself a

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big you know, one of those big fleet farm storage tank.

335
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Speaker 7: Yeah, start saving it? Sure? Why not?

336
00:24:04,839 --> 00:24:07,240
Speaker 8: Oh my god? What do we want to do next?

337
00:24:07,440 --> 00:24:10,640
Who are we in the background? Oh we have Michael, Yeah,

338
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we have David. Let's do tech breakdown real quick and

339
00:24:15,359 --> 00:24:17,799
then we'll bring David and Michael on.

340
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Speaker 7: I used the cockpit financial co. All right, tech breakdown

341
00:24:23,240 --> 00:24:45,559
here we go, And tonight we're going to.

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Speaker 8: Talk about Lola, not Laura. Laura. Right, did you get

343
00:24:53,160 --> 00:24:55,079
a chance to read this about Laura?

344
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Speaker 7: It did? It's pretty cool.

345
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Speaker 8: All right, So what we're gonna talk tonight is about

346
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a mesh node kit. Okay, Now what would you want

347
00:25:04,799 --> 00:25:09,200
a mesh node kit for? They as they call it,

348
00:25:09,839 --> 00:25:15,440
mesh tastic node kit, right, meshtastic. But what this is

349
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for is monitoring. Okay, this is for like, if you

350
00:25:19,720 --> 00:25:21,880
are working with a bunch of researchers and you've got

351
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a big track land and you want to track movement.

352
00:25:26,160 --> 00:25:29,400
This could do it. You literally could get alerts on

353
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all of the movement of these creatures through all sorts

354
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of sensors that these you know, fifty dollars nodes can

355
00:25:39,359 --> 00:25:46,319
attach to from thermal cams, pr sensors, audio recorders that

356
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can record and notify you of you know, any weird

357
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abnormal sounds like wood knocking. It could be a lot

358
00:25:53,759 --> 00:25:58,799
of weird things. So these aren't real terribly cheap. But

359
00:25:58,839 --> 00:26:00,720
I mean, you got to buy this sensors, you got

360
00:26:00,759 --> 00:26:02,880
to buy the nodes. But the main thing I want

361
00:26:02,920 --> 00:26:06,160
to do is just anybody interested, Like Area Acts would

362
00:26:06,160 --> 00:26:07,000
be a great.

363
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Speaker 7: Example, Yeah, perfect place for it.

364
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Speaker 8: Yeah, perfect place for a system like this. Then they

365
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may already be using something, you know, I would figure

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they are probably, but it can provide a lot of

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data on animal movement, and I believe because you can

368
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even hook thermal cameras. I mean, you can do some

369
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amazing monitoring remotely because they talk to satellites. That's what's cool.

370
00:26:33,319 --> 00:26:36,119
You don't need wireless so you don't have to worry

371
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about that. Everything satellite. So you have to get a

372
00:26:38,519 --> 00:26:42,279
you know, a subscription to the satellite service. You've got

373
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to pick out your sensors and you're going to use

374
00:26:44,079 --> 00:26:48,400
a whole bunch. But for about two to three grand,

375
00:26:48,480 --> 00:26:52,119
you can have a system, a mesh system with you know,

376
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ten nodes running.

377
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Speaker 7: So it's kind of cool, really cool.

378
00:26:57,599 --> 00:27:01,759
Speaker 8: And let me I should probably read little damn. No,

379
00:27:01,839 --> 00:27:04,000
it's not really neat. It's not that complicated.

380
00:27:04,480 --> 00:27:06,519
Speaker 7: Brandon just texted me he's got us. He's got one

381
00:27:06,519 --> 00:27:09,599
of these setups. We can quiz, we can have a watch. Yeah,

382
00:27:09,640 --> 00:27:11,200
we can quiz him about it. He's got one.

383
00:27:11,640 --> 00:27:15,440
Speaker 8: He does. Yeah, wow, Well good for you.

384
00:27:15,960 --> 00:27:17,240
Speaker 7: Yeah, and they did.

385
00:27:17,359 --> 00:27:19,799
Speaker 8: They call it a mesh network. But you can you

386
00:27:19,839 --> 00:27:25,119
can hook cameras, d DNA sampling. They're literally these things

387
00:27:25,200 --> 00:27:32,920
are adaptable to DNA sampling machines, thermal cams, acoustic sensors,

388
00:27:34,759 --> 00:27:36,720
and pir.

389
00:27:37,279 --> 00:27:41,079
Speaker 7: Yeah, set up, he's got a setup for cameras and communication,

390
00:27:41,400 --> 00:27:44,119
so very cool. Yeah, so you can have kind of

391
00:27:44,319 --> 00:27:48,640
communication network independent of cell network. It's pretty cool.

392
00:27:48,920 --> 00:27:51,680
Speaker 8: But at forty to fifty bucks for a node, it's

393
00:27:51,839 --> 00:27:54,279
not that much money. They have, you know, low power

394
00:27:54,400 --> 00:27:58,319
use because they're not like using batteries all the time.

395
00:27:59,799 --> 00:28:02,720
They can last up to a year the battery in

396
00:28:02,799 --> 00:28:09,559
each one of these notes. Obviously less time if it's cold, right, Yeah,

397
00:28:10,559 --> 00:28:13,000
But that's it. That's all I wanted to talk about.

398
00:28:13,359 --> 00:28:17,160
Just get the name out there and maybe you could

399
00:28:17,200 --> 00:28:22,720
copy and paste the actual serial number Jeff from your

400
00:28:22,759 --> 00:28:28,519
notes and then people can refer back to chat or

401
00:28:28,559 --> 00:28:29,279
you can even put it.

402
00:28:29,240 --> 00:28:32,519
Speaker 7: In the comments of the of the of the unit.

403
00:28:33,920 --> 00:28:42,720
Speaker 8: The ESPO l O R a meschantastic node kit. They

404
00:28:42,759 --> 00:28:43,559
also call it.

405
00:28:43,599 --> 00:28:50,160
Speaker 7: I love their names, meshnology, metastic. Yeah, that's mesology.

406
00:28:50,400 --> 00:28:56,680
Speaker 8: That's a new word. All right. Of that crap is

407
00:28:57,440 --> 00:29:00,759
they say on the Untold Radio Network and time again,

408
00:29:02,279 --> 00:29:05,680
I am ready to bring uh David.

409
00:29:08,359 --> 00:29:09,359
Speaker 7: Ready for David to come.

410
00:29:09,240 --> 00:29:13,200
Speaker 8: On, Michael and we can bring on Monoga hala two.

411
00:29:13,440 --> 00:29:14,880
Speaker 7: All right, you go on to intro real quick.

412
00:29:17,759 --> 00:29:20,319
Speaker 8: Do you want me to intro though, I'll intro have

413
00:29:20,359 --> 00:29:21,079
do you bring him on?

414
00:29:21,359 --> 00:29:27,200
Speaker 7: Okay, well here here, come, here, they all come. Welcome David, Welcome, Michael,

415
00:29:27,559 --> 00:29:32,319
and welcome. I'm might try to monoga hala, thank you,

416
00:29:32,759 --> 00:29:33,519
Hey everybody?

417
00:29:34,039 --> 00:29:41,440
Speaker 8: Hey, so can we call you by your first name?

418
00:29:41,519 --> 00:29:43,599
Speaker 5: Monoga hala?

419
00:29:44,160 --> 00:29:46,119
Speaker 8: Oh? Hi Den? Oh are you?

420
00:29:46,279 --> 00:29:47,519
Speaker 7: It's good to see you again.

421
00:29:49,720 --> 00:29:55,319
Speaker 8: All right. So Devon is a sound expert and as

422
00:29:55,359 --> 00:30:00,000
I remember, Devin spent a lot of time with David.

423
00:30:00,759 --> 00:30:06,240
Correct David, and tell you your craft in sound analysis

424
00:30:06,480 --> 00:30:11,200
and spectagram. Uh and I don't know what else God knows.

425
00:30:11,400 --> 00:30:13,599
So what I want you to do, Devon before we

426
00:30:13,680 --> 00:30:16,519
get because this is all going to tie together, all

427
00:30:16,599 --> 00:30:20,119
you guys to tie together. And Hi, Mike, is really

428
00:30:20,160 --> 00:30:20,880
good to see you.

429
00:30:20,920 --> 00:30:23,480
Speaker 7: And Mike, I think your mic is muted.

430
00:30:25,960 --> 00:30:26,839
Speaker 8: I see the mute.

431
00:30:28,880 --> 00:30:30,440
Speaker 7: It's not muted on my end. I don't think.

432
00:30:32,240 --> 00:30:35,480
Speaker 9: There you go, Doug.

433
00:30:35,519 --> 00:30:37,960
Speaker 10: I don't want to hijack the show, but I.

434
00:30:37,640 --> 00:30:41,720
Speaker 9: Wish I was muted. I'm going to go.

435
00:30:44,480 --> 00:30:49,440
Speaker 10: Devin has got some expert credentials which we, as most

436
00:30:49,759 --> 00:30:54,279
researchers in the Bigfoot community do not have. And that

437
00:30:54,480 --> 00:30:59,200
is what really attracted me to to Devin. He's on

438
00:30:59,400 --> 00:31:05,039
par with Scott Nelson as far as the moniker crypto linguist,

439
00:31:05,640 --> 00:31:09,279
but Devon went through a different training methodologies and he

440
00:31:09,359 --> 00:31:14,920
can go into that, but he's an expert where I'm

441
00:31:15,079 --> 00:31:17,559
just an observer and I have to run it by

442
00:31:17,599 --> 00:31:21,559
the expert, which I have done over the last sixteen years.

443
00:31:22,319 --> 00:31:25,640
Devon's really took me under his wing and kind of

444
00:31:26,799 --> 00:31:29,839
really taught me the ropes. I know, don't shake your hand.

445
00:31:32,039 --> 00:31:34,880
Speaker 5: You really helped me get started in this line of research.

446
00:31:36,480 --> 00:31:39,000
Speaker 10: Yeah, but it was your expertise that carried the day.

447
00:31:39,279 --> 00:31:42,000
So I just wanted to get that out there that

448
00:31:42,480 --> 00:31:45,200
you know, he's not going to pat hisself on the back,

449
00:31:45,200 --> 00:31:46,640
but I'm going to pat him on the back.

450
00:31:46,720 --> 00:31:47,759
Speaker 5: So it's teamwork.

451
00:31:47,920 --> 00:31:51,759
Speaker 8: So I have a feeling, Devon that David polluted your

452
00:31:51,799 --> 00:31:55,319
mind with mysterious creatures running around in the forest, right.

453
00:31:56,000 --> 00:31:59,400
Speaker 11: Not really, I'm actually I was kind of drawn a

454
00:31:59,440 --> 00:32:03,519
little bit to the potential of bigfoot before I met

455
00:32:03,599 --> 00:32:05,759
David a couple of years before, and I started doing

456
00:32:05,759 --> 00:32:08,240
a little of my own research and it led me

457
00:32:08,319 --> 00:32:13,240
into audio analysis and and I just happened to come

458
00:32:13,279 --> 00:32:16,519
across David and he had a great collection of recordings

459
00:32:16,920 --> 00:32:19,160
that he gave me access to early on and I

460
00:32:19,240 --> 00:32:22,960
was able to use that as part of my research project.

461
00:32:24,240 --> 00:32:26,599
Speaker 8: Yeah, David, you're up to about.

462
00:32:28,279 --> 00:32:31,880
Speaker 10: Oh gosh, plus a lot more than that. That was

463
00:32:31,920 --> 00:32:36,039
a couple of years ago, but a lot of it.

464
00:32:36,559 --> 00:32:39,200
A lot of the files are repeated, but I still

465
00:32:39,240 --> 00:32:47,559
have thousands that are individual and I still have long

466
00:32:48,480 --> 00:32:52,519
term recordings. Most of what you've seen are just clips,

467
00:32:53,000 --> 00:32:57,240
but I've got recordings that were done throughout the night.

468
00:32:57,759 --> 00:33:02,359
Speaker 8: Yeah, your master you have the master files?

469
00:33:02,880 --> 00:33:10,440
Speaker 10: Yes, yes, And UH ran across Devon through the bf

470
00:33:10,559 --> 00:33:12,519
R O. We were both in the bf R O

471
00:33:12,640 --> 00:33:18,799
at the at the same time, and I started listening

472
00:33:19,160 --> 00:33:21,559
to some of the things that Devon was saying and

473
00:33:21,599 --> 00:33:23,640
so I thought, I wonder if he'd be interested in

474
00:33:23,680 --> 00:33:26,599
a few clips, So I sent him his way and yeah,

475
00:33:26,640 --> 00:33:27,000
he was.

476
00:33:27,880 --> 00:33:29,240
Speaker 5: Yeah, definitely.

477
00:33:30,799 --> 00:33:34,599
Speaker 8: Very interesting. Can you tell us anything about your job,

478
00:33:34,759 --> 00:33:36,240
devn that you had.

479
00:33:36,400 --> 00:33:38,640
Speaker 5: Oh, yeah, sure.

480
00:33:38,759 --> 00:33:42,119
Speaker 11: And if you've heard anything about Scott Nelson and I

481
00:33:42,200 --> 00:33:49,000
were basically in the same career path, although Scott was

482
00:33:49,039 --> 00:33:53,759
an officer in the Navy, UH and a crypto linguist

483
00:33:54,160 --> 00:33:56,480
for the MAYBE and I believe he did a full

484
00:33:56,519 --> 00:34:02,960
thirty year career. I was a crypto linguist, not an officer.

485
00:34:03,039 --> 00:34:07,160
I was enlisted in the Air Force and I just

486
00:34:07,200 --> 00:34:10,159
did seven years in the Air Force as a crypto linguist.

487
00:34:10,679 --> 00:34:13,000
But we both go to the same training school. Back

488
00:34:13,039 --> 00:34:18,159
then it was the Defense Language Institute out in Monterey, California.

489
00:34:18,920 --> 00:34:22,920
That school's no longer where all the training happens. But

490
00:34:23,039 --> 00:34:26,000
in that career field, you're trained in the foreign language,

491
00:34:26,119 --> 00:34:32,320
you're trained in audio and collection and analysis skills.

492
00:34:33,079 --> 00:34:38,679
Speaker 5: And where I went through and iren't learned one language.

493
00:34:38,760 --> 00:34:42,320
Speaker 11: And then spent you know, six years working in the

494
00:34:42,360 --> 00:34:46,440
field in the Air Force doing that job as a

495
00:34:46,440 --> 00:34:52,360
crypto linguist, Scott learned I believe, five languages and did

496
00:34:52,440 --> 00:34:55,480
that for his most of his career. I would assume

497
00:34:55,639 --> 00:35:00,239
in the Navy over his thirty year career. And that's

498
00:35:00,280 --> 00:35:02,679
what we have in common, and that's really the nut

499
00:35:02,840 --> 00:35:08,639
of what our basic skills are built upon. And when

500
00:35:08,679 --> 00:35:12,280
I left the Air Force in nineteen ninety one, I

501
00:35:12,320 --> 00:35:15,239
set those skills aside. I went off became a defense

502
00:35:15,320 --> 00:35:20,599
contractor on computer systems. Engineering have been for decades and

503
00:35:22,079 --> 00:35:26,239
I did not even think about audio analysis or linguistics

504
00:35:26,679 --> 00:35:30,119
for a couple of decades. Really and it wasn't until

505
00:35:30,159 --> 00:35:32,400
about two thousand and eight when I was just going

506
00:35:32,400 --> 00:35:36,079
through the internet I came across the bfro's website and

507
00:35:36,119 --> 00:35:38,800
I saw I had a collection of audio that they

508
00:35:39,199 --> 00:35:44,280
ascribed to being Sasquatch vocalizations. I thought, okay, I'll listen

509
00:35:44,320 --> 00:35:49,119
to these, and just going through it, I can tell

510
00:35:49,239 --> 00:35:50,480
you know, there are a few things in the here

511
00:35:50,760 --> 00:35:52,480
I do not think are Sasquatch.

512
00:35:54,159 --> 00:35:57,079
Speaker 5: And it piqued my interest.

513
00:35:56,800 --> 00:36:00,480
Speaker 11: Enough and that, you know, I reached out a hold

514
00:36:00,519 --> 00:36:03,880
of a couple of investigators. I had actually had my

515
00:36:03,960 --> 00:36:07,920
own strange encounter while camping in the forest in the nineties,

516
00:36:08,440 --> 00:36:11,280
and I reported that to the BFRO. They showed some

517
00:36:11,360 --> 00:36:15,159
interest in me and it kind of built into a relationship,

518
00:36:15,679 --> 00:36:20,119
and through that relationship I started to do research, not

519
00:36:20,239 --> 00:36:23,559
so much in the reports that people were providing to

520
00:36:23,639 --> 00:36:29,079
the DFRO, but in the audio captures that the BFRO

521
00:36:29,280 --> 00:36:33,719
had and that other captures that were coming in. And

522
00:36:33,840 --> 00:36:37,440
through that chain of events, I met David and he

523
00:36:37,519 --> 00:36:40,840
gave me this catalog of audio. I got really serious

524
00:36:40,920 --> 00:36:44,519
about researching the audio and doing different types of analysis

525
00:36:44,559 --> 00:36:46,760
on it to try to prove one way or the other,

526
00:36:46,880 --> 00:36:51,280
is there something out there unknown to us that's making

527
00:36:51,320 --> 00:36:56,599
these sounds or these sounds coming from animals that we

528
00:36:56,719 --> 00:36:57,239
already know.

529
00:36:59,079 --> 00:37:04,360
Speaker 8: Have you come to a percentage conclusion that's you know

530
00:37:05,719 --> 00:37:08,280
that you can put into any kind of terms that

531
00:37:08,360 --> 00:37:12,880
we can understand. Devin on whether these things are real

532
00:37:13,039 --> 00:37:14,960
or not real in your opinion.

533
00:37:15,000 --> 00:37:18,719
Speaker 11: Sure, my opinion strictly, and I won't put a number

534
00:37:18,760 --> 00:37:21,400
on it, but I'm convinced they exist. And it's not

535
00:37:21,800 --> 00:37:27,400
just because of the audio. Because I became a BFR investigator,

536
00:37:27,440 --> 00:37:31,719
I started doing expeditions. I did my own solo expeditions

537
00:37:31,719 --> 00:37:36,960
at times, and I was able to validate some of

538
00:37:37,000 --> 00:37:39,679
the things that I've been hearing from the community. And

539
00:37:39,719 --> 00:37:45,800
then I had more events, you know, and more things

540
00:37:45,840 --> 00:37:50,480
occur that we're in sync with what others were observing.

541
00:37:51,079 --> 00:37:53,880
And I think one of the things that really sealed

542
00:37:53,880 --> 00:37:58,840
it for me is I learned how to mimic their

543
00:37:58,920 --> 00:38:02,360
calls closely that I could actually get a return response

544
00:38:02,400 --> 00:38:05,880
from them. And I'm not talking about those big moan

545
00:38:05,920 --> 00:38:09,079
hows that people like to do. I highly discourage doing that.

546
00:38:09,400 --> 00:38:13,360
Speaker 8: Right, Do you have any I don't want to interrupt you,

547
00:38:13,440 --> 00:38:17,599
but do you have any things that you've heard Devin,

548
00:38:18,119 --> 00:38:19,719
that you kind of keep to yourself.

549
00:38:19,760 --> 00:38:21,039
Speaker 7: You don't even want them out there.

550
00:38:21,679 --> 00:38:27,199
Speaker 8: Some features, some some little thing that's you know, your

551
00:38:27,840 --> 00:38:33,960
property that you can use to identify sounds other sounds.

552
00:38:34,159 --> 00:38:38,679
Speaker 11: Yeah, there are a few features that we as there's

553
00:38:38,719 --> 00:38:41,840
a small group of us who are really into this

554
00:38:41,880 --> 00:38:47,639
type of audio analysis, and I've recognized a few features

555
00:38:48,639 --> 00:38:54,440
that are recurring in what I call high probability sasquatchvcalizations,

556
00:38:55,159 --> 00:39:00,400
and we keep those close to our chest because us

557
00:39:01,159 --> 00:39:04,960
there's a lot of hoaxers out there, and I've received

558
00:39:05,119 --> 00:39:10,000
innumerable numbers of hoaxed audio clips over the years, and

559
00:39:10,239 --> 00:39:13,880
I realized quickly that if we shared everything that we've

560
00:39:13,960 --> 00:39:18,760
learned with the world, people would quickly master those signals,

561
00:39:19,119 --> 00:39:24,719
those authenticators, and we'd start hearing authenticating signals in hoaxed audio.

562
00:39:25,280 --> 00:39:26,679
Speaker 5: So, yeah, we don't.

563
00:39:26,800 --> 00:39:31,239
Speaker 11: We don't share everything that we've learned. We have learned

564
00:39:31,280 --> 00:39:35,280
some things that are very consistent patterns, and that's what

565
00:39:35,400 --> 00:39:39,719
helps us differentiate between this is quite possibly a sasquats

566
00:39:39,800 --> 00:39:43,519
versus a coyote or a wolf or things like that.

567
00:39:43,719 --> 00:39:46,800
Speaker 8: Well, one question, and maybe you're the one to ask.

568
00:39:48,199 --> 00:39:52,440
Like the whales, they said they've detected in killer whales dialect.

569
00:39:53,920 --> 00:39:56,760
Has there ever been anything like that at all? From

570
00:39:57,599 --> 00:40:00,119
you know, a Southern bigfoot to a Canadian big for

571
00:40:00,199 --> 00:40:03,519
that you've detected like it's similar but different, and you've

572
00:40:03,519 --> 00:40:06,400
seen consistent patterns.

573
00:40:05,960 --> 00:40:10,360
Speaker 11: There are certain things that are very common and then

574
00:40:10,599 --> 00:40:13,840
certain things that are unique. And I'll say the common

575
00:40:13,920 --> 00:40:19,039
signals are much more in number than the unique signals are.

576
00:40:19,760 --> 00:40:24,440
For example, whoops and wood knocks occur all across the

577
00:40:24,480 --> 00:40:27,840
continent from Florida to Alaska, east coast to west coast.

578
00:40:28,599 --> 00:40:35,840
That's common lingua franca for the Sasquatch. In terms of

579
00:40:35,960 --> 00:40:40,360
unique signals, there are places where such as in Michigan,

580
00:40:41,000 --> 00:40:46,400
there's a particular type of howl that I've correlated with

581
00:40:46,519 --> 00:40:51,599
two groups, two family units potential family units of Sasquatch

582
00:40:52,000 --> 00:40:57,960
in the Lower Peninsula of Michigan, and that howl is

583
00:40:58,039 --> 00:41:00,400
I only hear it in that area of Michigan, and

584
00:41:00,440 --> 00:41:03,800
it's very unique sounding and I've never heard it from

585
00:41:03,840 --> 00:41:07,679
any other recordings anywhere across North America. So there may

586
00:41:07,719 --> 00:41:12,760
be little local signals that the local groups use, and

587
00:41:12,800 --> 00:41:17,199
then there are definitely those signals that are used, you know, nationwide.

588
00:41:18,360 --> 00:41:24,000
Speaker 10: David just just a little bit added to it. There's

589
00:41:24,519 --> 00:41:30,960
certain variations within like a whoop. You might hear something

590
00:41:32,079 --> 00:41:36,679
with a whoop and a wood knock that are paired together.

591
00:41:36,840 --> 00:41:41,360
They're obviously paired together in this specific group that you're studying,

592
00:41:41,440 --> 00:41:45,519
but it's not everywhere else. And then there's just the

593
00:41:45,639 --> 00:41:50,679
variation of the whoop itself. There's a double whoops and

594
00:41:53,199 --> 00:41:59,519
sounds that are amalgamated, if you will, just a little

595
00:41:59,519 --> 00:42:03,360
bit different tenor Most whoops are in a high pitch,

596
00:42:03,440 --> 00:42:06,119
but I've got some recordings that are in a very

597
00:42:06,159 --> 00:42:11,760
low pitch. So just variations, and that to me means

598
00:42:11,840 --> 00:42:16,119
we're dealing with something that's physically real, and we're not

599
00:42:17,480 --> 00:42:21,599
dealing with something that is, because if it was made up,

600
00:42:21,880 --> 00:42:27,159
it would everything would be absolutely on the same. A

601
00:42:27,199 --> 00:42:30,519
woodknock would sound like two baseball bats being struck together

602
00:42:30,760 --> 00:42:33,360
all the time and they're not.

603
00:42:33,920 --> 00:42:36,159
Speaker 8: Okay, Well I've got it, okay. So here's a question

604
00:42:37,039 --> 00:42:42,760
everybody always says bigfoot anecdotal anecdotal anecdotal anecdotal is are

605
00:42:42,800 --> 00:42:47,239
these sound recordings more than anecdotal evidence? In other words,

606
00:42:47,679 --> 00:42:56,360
is it possible through consistent, distinct, non identifiable recordings we

607
00:42:56,400 --> 00:42:59,880
could get closer to proving those creatures exist.

608
00:43:00,079 --> 00:43:02,960
Speaker 9: The Devin, I think it already has been We just

609
00:43:03,239 --> 00:43:10,440
everybody ignores it. Yeah, I think that's the question doesn't

610
00:43:10,440 --> 00:43:13,400
even need to be asked. Yeah, it's already been proven.

611
00:43:13,639 --> 00:43:18,360
People just ignore it like they ignore everything else exactly

612
00:43:18,480 --> 00:43:20,199
when you we don't even need to ask that question.

613
00:43:20,239 --> 00:43:21,199
It's already been taking care.

614
00:43:21,840 --> 00:43:25,320
Speaker 11: But out of respect to Dune's question, I do have

615
00:43:25,400 --> 00:43:28,639
an answer for that. And there are many things that

616
00:43:28,679 --> 00:43:34,880
we that we know or can know through the inference

617
00:43:34,920 --> 00:43:38,719
of evidence supporting the existence of that right. And and

618
00:43:39,119 --> 00:43:43,679
that's what we learned as crypto linguists is that you

619
00:43:43,719 --> 00:43:46,599
don't need to see it to know that it's there.

620
00:43:47,800 --> 00:43:52,280
If it gives off the signal, that signal can be

621
00:43:52,480 --> 00:43:57,679
indicate indicative of its presence. And so when you're talking

622
00:43:57,679 --> 00:44:01,639
about something that you have precious little visual evidence for,

623
00:44:01,920 --> 00:44:05,119
like the sasquatch, you have to build up a case

624
00:44:05,519 --> 00:44:09,920
and in this case, a lexicon for the existence of

625
00:44:09,960 --> 00:44:17,599
that thing. All creatures, I shouldn't say all, but most

626
00:44:17,599 --> 00:44:23,360
creatures communicate for the purpose of reproduction, safety, gathering, food,

627
00:44:23,400 --> 00:44:26,920
what have you, and the sasquatch should be no different

628
00:44:26,960 --> 00:44:30,559
from that. So Working from that hypothesis, the sasquatch needs

629
00:44:30,559 --> 00:44:33,880
to communicate. Communication happens through a series of well known

630
00:44:34,639 --> 00:44:38,960
signals between members of a group. Those signals collectively are

631
00:44:38,960 --> 00:44:42,760
called lexicon. So early on in my research, I realized, Okay,

632
00:44:42,800 --> 00:44:46,320
there has to be a lexicon here. Let's spend time

633
00:44:46,400 --> 00:44:49,360
studying and focusing on what that is. Over the years,

634
00:44:49,440 --> 00:44:52,039
I've been able to build up a lexicon of somewhere

635
00:44:52,039 --> 00:44:56,360
between twenty and twenty four signals or characters, features that

636
00:44:56,480 --> 00:45:00,400
I expect to hear at some point in these analyzes. Wow,

637
00:45:01,159 --> 00:45:05,840
it's come to a point for me where I was

638
00:45:05,920 --> 00:45:08,000
listening to audio and I was like, well, this could

639
00:45:08,039 --> 00:45:11,000
possibly be. But I needed sort of a litmus test.

640
00:45:11,119 --> 00:45:13,000
So I came up with what I call the rule

641
00:45:13,039 --> 00:45:17,079
of three, and I applied for myself. I need to

642
00:45:17,119 --> 00:45:23,400
hear three elements of that lexicon in a recording before

643
00:45:23,599 --> 00:45:26,559
I can say, okay, that's a high probability sasquats vocal.

644
00:45:27,159 --> 00:45:31,239
If I hear two elements, it's okay, it's just maybe strong.

645
00:45:31,280 --> 00:45:31,800
Speaker 7: Maybe.

646
00:45:32,159 --> 00:45:35,079
Speaker 5: If I hear one element, it's like a possible, but

647
00:45:35,159 --> 00:45:35,679
who knows.

648
00:45:36,599 --> 00:45:38,719
Speaker 11: And that rule of three has worked out for me

649
00:45:38,880 --> 00:45:41,159
very well over the years.

650
00:45:40,880 --> 00:45:48,400
Speaker 10: Devin, you taught me early on in sound analysis the

651
00:45:48,519 --> 00:45:54,480
utilization of a spectrogram, and the spectrogram to me is

652
00:45:54,599 --> 00:45:58,239
what is the fingerprint of sound, if you will, that

653
00:45:58,400 --> 00:46:03,599
identifies the subject that we are, that we suspect it

654
00:46:03,639 --> 00:46:12,719
could be birds make a specific signature. Everything has their

655
00:46:12,800 --> 00:46:19,559
own look, so sasquatches in certain sounds have a familiar look.

656
00:46:20,039 --> 00:46:25,639
Devon can look at a audio clip in a spectrogram

657
00:46:26,039 --> 00:46:30,719
and see like four or five distant whoops that nobody

658
00:46:30,840 --> 00:46:35,960
heard on the recording, and go, there's a whoop. So

659
00:46:37,320 --> 00:46:39,800
I think, Devin, that's correct. Me if I'm wrong, but

660
00:46:39,840 --> 00:46:44,039
that's when people send you audio, you're looking just as

661
00:46:44,119 --> 00:46:45,360
much as you are listening.

662
00:46:45,960 --> 00:46:51,159
Speaker 11: Yes, the spectrogram is an essential tool for analyzing audio,

663
00:46:51,880 --> 00:46:55,239
and what it basically does is it tunes your ears

664
00:46:55,280 --> 00:46:58,880
in even closer to what's going on in clip, because

665
00:46:58,920 --> 00:47:03,199
not only do you hear what's happening, but you actually

666
00:47:03,280 --> 00:47:06,880
see what's happening in the spectrogram. And so there will

667
00:47:06,880 --> 00:47:10,519
be subtle signals in the background of an audio clip

668
00:47:11,039 --> 00:47:14,000
that your ears wouldn't normally pick up on and focus

669
00:47:14,079 --> 00:47:17,360
on because we naturally just listen for the loudest thing

670
00:47:17,360 --> 00:47:20,159
in the room. But a spectrogram can show you, you

671
00:47:20,199 --> 00:47:22,480
know what, there's a little signal right there. It shows

672
00:47:22,559 --> 00:47:24,920
up as a bright spot in the spectrogram. Let me

673
00:47:25,000 --> 00:47:26,440
loop over that and listen to it.

674
00:47:27,480 --> 00:47:30,320
Speaker 9: Spectrogram doesn't also put it into a different level from

675
00:47:30,360 --> 00:47:33,280
a known animal, where it could be higher and the lower.

676
00:47:34,199 --> 00:47:37,960
Speaker 11: And that's a really good that's a good question because

677
00:47:38,000 --> 00:47:39,920
it's a common fallacy that people believe.

678
00:47:41,280 --> 00:47:44,320
Speaker 5: Folks like to believe that different animals.

679
00:47:44,360 --> 00:47:47,360
Speaker 11: Vocalize in different frequency ranges, different bands.

680
00:47:47,400 --> 00:47:49,199
Speaker 9: Not true at all.

681
00:47:49,599 --> 00:47:54,800
Speaker 11: Yeah, our frequency ranges all overlap, okay, And basically the

682
00:47:54,880 --> 00:47:59,880
human auditory system is from as low as eighty herd

683
00:48:00,760 --> 00:48:04,039
to as high as god I forget the top end,

684
00:48:04,159 --> 00:48:11,679
but it's well above the bird whistling registers. It's quite high.

685
00:48:11,960 --> 00:48:14,440
And you know, David, maybe you remember what it is.

686
00:48:14,840 --> 00:48:19,679
But the majority of human vocalizations occur between I want

687
00:48:19,719 --> 00:48:22,880
to say, on the low end around three hundred hertz,

688
00:48:22,960 --> 00:48:28,039
maybe a little lower up to falsettos, which are around

689
00:48:28,079 --> 00:48:34,440
eleven hundred hertz, and most vocalizers, animals, humans, what have

690
00:48:34,599 --> 00:48:38,000
you also vocalize in that range. Now, they may be

691
00:48:38,119 --> 00:48:41,719
more comfortable in different parts of the range, but you know,

692
00:48:42,119 --> 00:48:46,320
we have everything from very low end singers, you know,

693
00:48:46,440 --> 00:48:50,280
deep bass baritone voices all the way up to falsettos.

694
00:48:50,320 --> 00:48:53,360
Just in the human species. Other animals are capable of

695
00:48:53,360 --> 00:48:53,800
that too.

696
00:48:54,639 --> 00:48:59,280
Speaker 8: Well, have two questions for you guys. Is there any

697
00:48:59,360 --> 00:49:06,000
way to tell vocal cord length based on any of

698
00:49:06,039 --> 00:49:08,840
the recordings that you guys hear, and do any of

699
00:49:08,880 --> 00:49:12,960
them come out bigger? You know, as holy crap? You

700
00:49:13,000 --> 00:49:15,559
can tell the weight like this came from an eight

701
00:49:15,639 --> 00:49:20,199
hundred pound animal versus two hundred pound man. Is that

702
00:49:20,480 --> 00:49:23,519
anything that you guys can detect or no?

703
00:49:24,440 --> 00:49:26,679
Speaker 10: The answer is yes and no. I don't have the.

704
00:49:26,639 --> 00:49:28,920
Speaker 8: Software, okay, but there is software.

705
00:49:30,440 --> 00:49:30,679
Speaker 9: Yes.

706
00:49:32,000 --> 00:49:36,559
Speaker 10: I think John Andrews had some of his long distance

707
00:49:36,760 --> 00:49:44,280
howls put through some tests and they were outside certain parameters,

708
00:49:44,880 --> 00:49:49,440
but they weren't using a spectrogram to identify those. They

709
00:49:49,480 --> 00:49:52,159
had certain cues that they were looking for in their

710
00:49:52,159 --> 00:49:57,480
own specific software. I can't tell you what that software is,

711
00:49:59,599 --> 00:50:04,400
but it is something that higher education community does you

712
00:50:04,760 --> 00:50:07,039
realize you know?

713
00:50:07,880 --> 00:50:10,079
Speaker 11: Well, no, I don't know that specifically, but I can

714
00:50:10,880 --> 00:50:14,440
give you some advice that's more accessible to the layman.

715
00:50:16,119 --> 00:50:20,719
There's this concept in communications, vocal communications called I believe

716
00:50:20,719 --> 00:50:25,519
it's conservation of energy or conservation of effort, and it

717
00:50:25,559 --> 00:50:29,519
has to do basically with the efficiency with which a

718
00:50:29,719 --> 00:50:35,400
voice can project over distance. Okay, the size of the

719
00:50:35,440 --> 00:50:38,199
animal has a direct effect on the size of the

720
00:50:38,280 --> 00:50:43,519
vocal cord or the or the sound reproduction. Smaller animals

721
00:50:44,119 --> 00:50:49,199
have smaller vocal cords, which generally are vocal folds, which

722
00:50:49,320 --> 00:50:54,880
generally create a higher pitch, and large animals have a

723
00:50:54,960 --> 00:50:58,559
much larger resonant cavity to make sound with, and so

724
00:50:58,599 --> 00:51:01,760
they create a much deeper pitch. Think of a bull

725
00:51:02,400 --> 00:51:06,559
very big body capable of very deep sounds, and elephant

726
00:51:06,920 --> 00:51:13,639
tremendously sized body, very deep sounds. A songbird very small body,

727
00:51:14,159 --> 00:51:17,239
very high pitched sounds. So that's why when we hear

728
00:51:17,360 --> 00:51:21,159
big dogs barking, they have a deeper bark than a

729
00:51:21,199 --> 00:51:24,599
little chihuahua has a higher pitch bark. So that's just

730
00:51:24,639 --> 00:51:29,320
a truism across you know, sound production. And in that regard,

731
00:51:29,840 --> 00:51:33,159
you can tell something about the size of a vocalizer

732
00:51:33,880 --> 00:51:37,199
based on the general pitch or the general range that

733
00:51:37,280 --> 00:51:38,199
it's vocalizing in.

734
00:51:39,639 --> 00:51:43,840
Speaker 9: I think also the length too, well.

735
00:51:43,840 --> 00:51:46,480
Speaker 5: Yeah, yeah, in terms of lung capaccity, I agree.

736
00:51:46,679 --> 00:51:54,079
Speaker 8: Yeah, Okay, let's just I want to kind of switch

737
00:51:54,159 --> 00:51:57,000
back and forth to show a little more interesting.

738
00:51:59,119 --> 00:51:59,840
Speaker 10: It to me.

739
00:52:00,119 --> 00:52:03,800
Speaker 8: You didn't we we talked on the phone. Is that correct?

740
00:52:04,280 --> 00:52:04,679
Speaker 7: Yeah?

741
00:52:04,840 --> 00:52:10,880
Speaker 8: Yeah, When about your encounters? Do you want to just

742
00:52:11,199 --> 00:52:16,880
start the the uh, the encounter stories of what happened

743
00:52:16,880 --> 00:52:17,920
when you were young.

744
00:52:17,760 --> 00:52:20,199
Speaker 9: And when when I when I was young and might

745
00:52:20,239 --> 00:52:22,719
have kind of continued over the years like as they

746
00:52:22,920 --> 00:52:26,079
normally do. Yeah, yeah, I was pretty young. We had

747
00:52:26,119 --> 00:52:29,920
uh we moved out in the middle of nowhere and

748
00:52:30,119 --> 00:52:34,239
uh we had we had a big, big foot that

749
00:52:34,360 --> 00:52:36,559
was not very happy with us and came to my

750
00:52:36,800 --> 00:52:40,760
window over and over and over again. And uh, but

751
00:52:40,840 --> 00:52:44,679
it would make this low noise, kind of like sticking

752
00:52:44,719 --> 00:52:49,079
your head into beehive, and uh the buzz, yeah buzz.

753
00:52:49,199 --> 00:52:51,440
My I would hear My dog would hear it. My

754
00:52:51,960 --> 00:52:55,599
I had a big, big Saint Bernard, and they would

755
00:52:55,599 --> 00:52:57,920
climb up on my bed and lay across my belly,

756
00:52:58,000 --> 00:53:01,519
and so I wouldn't move, and uh, it would come

757
00:53:01,559 --> 00:53:04,400
to my window. But it kind of made me feel calm.

758
00:53:04,440 --> 00:53:09,800
It was kind of strange, and I kind of put

759
00:53:09,800 --> 00:53:11,599
it off as kind of a dream over the years,

760
00:53:11,679 --> 00:53:14,559
until my dad started talking about the counters when I

761
00:53:14,559 --> 00:53:18,159
got a little bit older, and then I uh got here,

762
00:53:18,920 --> 00:53:21,079
I heard a few more encounters of people having the

763
00:53:21,079 --> 00:53:24,880
same thing, and uh then I knew what it was,

764
00:53:24,960 --> 00:53:29,000
and it was but it was strange. But I've never

765
00:53:29,119 --> 00:53:32,400
quite heard the same thing even in all the recordings

766
00:53:32,440 --> 00:53:33,000
that I've heard.

767
00:53:34,000 --> 00:53:36,239
Speaker 8: Well what okay, so you were you would hear the

768
00:53:36,559 --> 00:53:41,239
sound and then what would happen more details.

769
00:53:41,559 --> 00:53:44,960
Speaker 9: I would always hear it before it was not happy,

770
00:53:45,000 --> 00:53:46,880
so it came around and kind of raised hell. It

771
00:53:46,960 --> 00:53:50,719
would bang on the house, break limbs off the trees.

772
00:53:50,800 --> 00:53:54,119
But I would hear the noise before that started, and

773
00:53:54,159 --> 00:53:57,159
it would kind of call me. And then when it

774
00:53:57,199 --> 00:53:58,880
was kind of done raising hell, it would end up

775
00:53:58,920 --> 00:54:03,119
at my window. And but I wasn't scared, didn't bother me,

776
00:54:04,239 --> 00:54:06,239
and uh after I left, I just went to sleep.

777
00:54:06,599 --> 00:54:09,719
It was just it was kind of like a really

778
00:54:10,400 --> 00:54:12,239
it was like I said, just like putting your head

779
00:54:12,239 --> 00:54:12,760
in a beehive.

780
00:54:14,719 --> 00:54:22,360
Speaker 8: Could you do a comparison, Mike about like hummingbirds, hummingbird waitings.

781
00:54:22,400 --> 00:54:24,280
I'm sure you've heard many humming birds.

782
00:54:24,280 --> 00:54:25,920
Speaker 9: It was kind of close to that, but it was

783
00:54:25,960 --> 00:54:28,400
more like a beehive. It was just it was just

784
00:54:28,559 --> 00:54:31,159
like putting. If you had a big beehive that somebody

785
00:54:31,239 --> 00:54:33,559
start up, you put your ear to it. That's what

786
00:54:33,599 --> 00:54:34,320
it sounded.

787
00:54:34,159 --> 00:54:36,559
Speaker 8: Like, like like a plural, like there were more than

788
00:54:36,599 --> 00:54:37,280
one bee.

789
00:54:37,800 --> 00:54:40,760
Speaker 9: Yeah, yeah, yeah, I was very Yeah. It was close

790
00:54:40,800 --> 00:54:44,079
to the ones that that I've heard, but this was

791
00:54:44,440 --> 00:54:47,880
it was not as low tone and and and it

792
00:54:47,960 --> 00:54:51,679
never never stopped. It just always kept going. It would

793
00:54:51,679 --> 00:54:54,400
never started and stopped. It just it was constant.

794
00:54:54,840 --> 00:54:57,880
Speaker 8: All right, Then what did you end up seeing out

795
00:54:57,880 --> 00:54:59,079
of all these.

796
00:54:59,400 --> 00:55:02,519
Speaker 9: O it would always show open my window. It was

797
00:55:02,559 --> 00:55:06,280
a big big head, that was about it. Yeah, and

798
00:55:06,320 --> 00:55:10,440
with eyes and yeah, I was, yeah, I was. I

799
00:55:10,480 --> 00:55:13,079
can't even tell you how many times it happened, but happened.

800
00:55:12,800 --> 00:55:14,519
Speaker 7: Over and over and over and over again.

801
00:55:14,800 --> 00:55:19,039
Speaker 9: But because of that noise, it just it didn't scare me,

802
00:55:19,199 --> 00:55:23,480
and that never bothered me. It was just kind of different.

803
00:55:24,199 --> 00:55:27,000
Speaker 8: Does anybody here know why a hum or, a buzz

804
00:55:27,599 --> 00:55:30,639
buzz like that would calm a person.

805
00:55:30,400 --> 00:55:36,719
Speaker 9: David, I've heard it on. Only a reason why I

806
00:55:36,840 --> 00:55:39,159
bring it up because I heard a couple of encounters.

807
00:55:39,199 --> 00:55:42,280
One was a lady that was sitting by a creek

808
00:55:43,000 --> 00:55:45,679
and a bigfoot with a baby came down to the

809
00:55:45,719 --> 00:55:47,679
creek to get a drink of water and was making

810
00:55:48,079 --> 00:55:51,840
a noise that sounded like a like a bee, right,

811
00:55:52,119 --> 00:55:55,639
And when I heard that encounter store, I went, holy crap. Okay,

812
00:55:55,679 --> 00:55:56,119
now I know.

813
00:55:59,679 --> 00:56:01,320
Speaker 8: Yeah, so.

814
00:56:02,760 --> 00:56:09,400
Speaker 10: There is a known fact and psychology and studied this

815
00:56:10,119 --> 00:56:16,480
that humming will produce serotonin and dopamine, and what that

816
00:56:16,719 --> 00:56:23,800
combination does is create a calming effect. So that's if

817
00:56:23,920 --> 00:56:27,480
you want to know what the what the reason for

818
00:56:27,519 --> 00:56:32,280
this is. Mike stated, it calmed him. I would like

819
00:56:32,320 --> 00:56:35,440
to also point out that he had a huge Saint

820
00:56:35,480 --> 00:56:39,239
Bernard dog and if anybody knows about Saint Bernard's there

821
00:56:39,679 --> 00:56:40,480
aren't protective.

822
00:56:41,039 --> 00:56:41,400
Speaker 7: She was.

823
00:56:41,920 --> 00:56:42,960
Speaker 9: She was my protector.

824
00:56:43,519 --> 00:56:46,639
Speaker 10: Yeah so she you said that, Mike, correct me if

825
00:56:46,679 --> 00:56:51,519
I'm wrong, but she would lay on you in these circumstances.

826
00:56:52,639 --> 00:56:58,000
So there was. Yeah, so there was something going on

827
00:56:58,559 --> 00:57:02,039
I think with this particular sound. Now what's also interesting,

828
00:57:02,119 --> 00:57:04,079
Mike is you said that it was continuous.

829
00:57:04,119 --> 00:57:05,960
Speaker 9: It didn't stop, didn't stop.

830
00:57:06,400 --> 00:57:10,039
Speaker 10: So you know we all have to take a breath, right.

831
00:57:10,960 --> 00:57:13,079
Speaker 9: Yeah, this did not think of breath. It's like those

832
00:57:13,159 --> 00:57:15,880
videos you just sent me those So this.

833
00:57:15,960 --> 00:57:18,280
Speaker 10: Kind of kind of falls within the line of what

834
00:57:18,440 --> 00:57:23,199
doctor melderm was proffering that some of these long distance

835
00:57:23,360 --> 00:57:31,119
vocalizations that sasquatches seem to produce are at great volume

836
00:57:31,320 --> 00:57:35,360
and lots of air, but they go for a long

837
00:57:35,400 --> 00:57:42,000
period of time, and suggesting that they have fully developed

838
00:57:42,039 --> 00:57:45,679
air sacks, which we have we had at one time,

839
00:57:45,760 --> 00:57:50,519
but we only have remnants now. But that gives them

840
00:57:50,559 --> 00:57:55,320
the bit it's like a bagpipe where you can take

841
00:57:55,360 --> 00:58:01,679
in air and squeeze air out in another format or

842
00:58:01,719 --> 00:58:04,840
a way of doing it so that they could have

843
00:58:04,880 --> 00:58:06,400
a continuous sound.

844
00:58:07,920 --> 00:58:10,599
Speaker 9: Yeah, yeah, I agree, and I think it's kind of

845
00:58:10,679 --> 00:58:14,400
strange that at one time they want to kind of

846
00:58:14,440 --> 00:58:16,360
raise hell, but the second time they want to make

847
00:58:16,400 --> 00:58:20,280
sure that the younger ones aren't uncomfortable. Yeah, which tells

848
00:58:20,280 --> 00:58:21,480
me something actually cares.

849
00:58:21,840 --> 00:58:24,320
Speaker 8: Did you ever see the creature in the window and

850
00:58:24,519 --> 00:58:25,960
hear the buzzing?

851
00:58:26,320 --> 00:58:27,440
Speaker 9: Yeah all the time.

852
00:58:27,559 --> 00:58:32,199
Speaker 8: So okay, so the relationship between the buzzing and the creature,

853
00:58:32,360 --> 00:58:36,039
you're very positive absolutely they were connected.

854
00:58:36,280 --> 00:58:39,280
Speaker 9: Yeah, oh yeah. It would always start about ten minutes

855
00:58:39,320 --> 00:58:41,840
before it would shopen my window, and then when it

856
00:58:41,920 --> 00:58:42,719
left it would stop.

857
00:58:43,199 --> 00:58:47,079
Speaker 8: Well, David, we just heard that showney story. They would

858
00:58:47,159 --> 00:58:49,920
hear the buzz and then they would put food out

859
00:58:49,960 --> 00:58:54,320
for the subsquatches, which is pretty incredible.

860
00:58:54,719 --> 00:59:01,400
Speaker 10: Now we we have a tie to that through John Mayanzinski,

861
00:59:02,000 --> 00:59:04,360
So we need to do a little bit of homework

862
00:59:04,519 --> 00:59:08,679
because somewhere along the line somebody said that John is

863
00:59:08,719 --> 00:59:12,239
aware of this humming sound. Yeah, so I would like

864
00:59:12,320 --> 00:59:14,000
to hear it from him firsthand.

865
00:59:14,599 --> 00:59:18,000
Speaker 8: No, now, Devin, you've had just literally, you know, we

866
00:59:18,159 --> 00:59:22,119
just kind of dumped on you some of these sounds.

867
00:59:23,239 --> 00:59:25,639
I don't know if you've had any thoughts on them

868
00:59:25,639 --> 00:59:30,159
at all yet, or you're planning on holding any comments

869
00:59:30,239 --> 00:59:31,119
until the future.

870
00:59:33,280 --> 00:59:37,599
Speaker 11: Well, in my experience and based on the conversation we've had,

871
00:59:38,400 --> 00:59:42,880
I've not heard anything quite like what Mike's describing, you know,

872
00:59:42,960 --> 00:59:47,480
the beehive type sound, especially not in an ongoing fashion.

873
00:59:47,599 --> 00:59:50,920
What I've heard is something or the closest I've heard

874
00:59:50,960 --> 00:59:54,119
of that is something that sounds much like a zipper.

875
00:59:54,920 --> 00:59:58,280
And I've picked these up a number of times, not

876
00:59:58,360 --> 01:00:01,440
just myself, a number of other people have sent me

877
01:00:01,480 --> 01:00:05,000
clips that have what I've come to call a zipper

878
01:00:05,119 --> 01:00:07,599
vocal in them. I believe it's some kind of a

879
01:00:07,679 --> 01:00:11,559
vocalization and it's very unique. In fact, I think. I

880
01:00:11,599 --> 01:00:16,679
shared an audio video clip with Jeff earlier that has

881
01:00:16,960 --> 01:00:21,639
an example of a zipper vocal in it, and one

882
01:00:21,679 --> 01:00:25,480
interesting observation that I've made of all the zipper vocalizations

883
01:00:25,519 --> 01:00:28,400
I've studied over the years, and this goes back to

884
01:00:28,440 --> 01:00:32,280
two thousand and eight when I started this research. They're

885
01:00:32,360 --> 01:00:38,000
always captured when there's somebody with a recorder going and

886
01:00:38,039 --> 01:00:41,199
they're out in the forest and there's potentially a sasquatch nearby,

887
01:00:41,960 --> 01:00:46,039
and so the sasquatch is observing the person. Then we

888
01:00:46,280 --> 01:00:50,840
capture these zipper vocals at times, but David and I

889
01:00:50,920 --> 01:00:55,679
and others also leave these long duration recorders out in

890
01:00:55,719 --> 01:00:59,599
the forest for weeks and weeks on end. I've never

891
01:01:00,039 --> 01:01:02,480
on a zipp or vocal when it was just a

892
01:01:02,519 --> 01:01:04,239
recorder alone in the woods.

893
01:01:05,840 --> 01:01:10,280
Speaker 8: You're you're, You're pretty confident it has something to do

894
01:01:10,400 --> 01:01:14,800
with the you know, the the people that they're seeing

895
01:01:14,880 --> 01:01:18,679
and there. Maybe it's even a word or a vocal

896
01:01:19,119 --> 01:01:20,159
to describe people.

897
01:01:20,320 --> 01:01:25,159
Speaker 11: Correct, Yeah, just entertaining the idea. Maybe it's their nickname

898
01:01:25,199 --> 01:01:27,800
for us. They call us zippers or whatever.

899
01:01:29,400 --> 01:01:33,800
Speaker 9: I get it in my house my house, I I

900
01:01:33,840 --> 01:01:37,400
get mouth pops. People call them tree knocks, but they're

901
01:01:37,400 --> 01:01:41,480
not their mouthpops moths. I get them a lot. They're

902
01:01:41,599 --> 01:01:46,840
very loud, they're not tree knocks their mouth pops and

903
01:01:46,880 --> 01:01:49,719
I get them all the time, and they they kind

904
01:01:49,719 --> 01:01:52,800
of sound like a tree knock, but they're not. When

905
01:01:52,840 --> 01:01:55,559
you hear them close, then you figure out that they're

906
01:01:55,559 --> 01:02:00,360
not a tree pop. There. It's crazy and they're soul loud,

907
01:02:01,599 --> 01:02:03,760
and I get the baby crying if I have kids

908
01:02:03,800 --> 01:02:07,840
in my backyard, which is which is kind of strange.

909
01:02:07,840 --> 01:02:10,400
It actually is so strange it freaks out the kids.

910
01:02:11,800 --> 01:02:14,320
Speaker 11: Let me just interject real quick, if I could, I

911
01:02:14,440 --> 01:02:16,880
see a number of people in the chat who have

912
01:02:17,360 --> 01:02:21,039
recordings like Kaiju Ninja eighty five, just so they've got

913
01:02:21,119 --> 01:02:24,360
Zipper recordings. If there's anyone in the chat that has

914
01:02:24,400 --> 01:02:26,840
a recording and they'd like to get a second opinion

915
01:02:26,920 --> 01:02:29,960
on it, I'd invite them to contact me by email.

916
01:02:31,039 --> 01:02:33,119
And uh, I don't know if we can stick it

917
01:02:33,119 --> 01:02:35,079
in the show notes or what, but my email is

918
01:02:35,159 --> 01:02:37,360
Mangahela at gmail dot com.

919
01:02:37,519 --> 01:02:40,079
Speaker 7: Yeah, Jeff, Jeff has I'll tell you.

920
01:02:40,360 --> 01:02:42,280
Speaker 9: I'd like to hear one of those. I might have

921
01:02:42,360 --> 01:02:44,599
heard them. I just have to ignored it.

922
01:02:44,719 --> 01:02:45,159
Speaker 5: You never know.

923
01:02:45,960 --> 01:02:48,880
Speaker 11: Yeah, they're They're very so hard to pick up. And

924
01:02:49,159 --> 01:02:51,440
in fact, I've been hearing them for years in recordings

925
01:02:51,440 --> 01:02:55,800
that didn't realize it. It wasn't until I finally realized, Hey,

926
01:02:55,800 --> 01:02:59,199
there's a strange zipper like sound in there. And then

927
01:02:59,239 --> 01:03:02,280
I started going back through old recordings and I realized, Wow,

928
01:03:02,920 --> 01:03:07,000
this occurs every time there's somebody with a recorder in

929
01:03:07,000 --> 01:03:09,960
the field, like.

930
01:03:09,920 --> 01:03:10,800
Speaker 9: A metal.

931
01:03:13,840 --> 01:03:18,719
Speaker 11: No, if anything, it sounds like a tent zipper being open. Yeah,

932
01:03:18,880 --> 01:03:22,440
similar to that, but some of them are very deep

933
01:03:22,519 --> 01:03:28,239
pitched as well. And I did send Jeff a link.

934
01:03:28,679 --> 01:03:30,039
Speaker 8: Do you want to play a zipper?

935
01:03:30,519 --> 01:03:32,559
Speaker 7: Sure? What's which you? I have three of them here?

936
01:03:32,679 --> 01:03:33,599
Which one you want me to play?

937
01:03:33,840 --> 01:03:39,039
Speaker 11: The one labeled Cohoda Howls. It has howls and uh

938
01:03:39,360 --> 01:03:43,159
a zipper vocal in it, multiple zipper vocals? Sure, and

939
01:03:43,239 --> 01:03:44,239
we can play that one.

940
01:03:45,760 --> 01:03:47,599
Speaker 7: Okay, we pull that up here, we go.

941
01:03:48,239 --> 01:03:52,159
Speaker 11: Yeah, and this is from North Georgia, north of Atlanta,

942
01:03:52,800 --> 01:03:56,440
and I believe it's the Cohoda Wilderness or the Cohda

943
01:03:57,199 --> 01:03:57,840
National Forest.

944
01:03:57,920 --> 01:03:59,320
Speaker 5: It's in the National forest up there.

945
01:03:59,679 --> 01:04:00,559
Speaker 7: Okay, I'll play this.

946
01:04:01,880 --> 01:04:05,039
Speaker 11: Hello everybody, This is when I'm here here and I've

947
01:04:05,039 --> 01:04:06,559
got a clip I want to share with you.

948
01:04:06,760 --> 01:04:10,199
Speaker 5: This is fairly long. First came across this on the internet.

949
01:04:10,960 --> 01:04:12,760
Speaker 7: Should I skip head to a certain point?

950
01:04:13,480 --> 01:04:15,559
Speaker 5: Yeah, but I don't know the exact point to tell.

951
01:04:15,440 --> 01:04:17,679
Speaker 9: You to go to out halfway?

952
01:04:18,480 --> 01:04:23,480
Speaker 5: Okay, yeah, to try about halfway Okay, back it up

953
01:04:23,559 --> 01:04:24,320
just a little bit.

954
01:04:27,519 --> 01:04:30,239
Speaker 11: At the beginning of the recording, and then right ah,

955
01:04:30,599 --> 01:04:38,519
there we go a good, beautiful standalone whoops. We've had

956
01:04:38,559 --> 01:04:44,159
these good vocals at the beginning of the recording, and

957
01:04:44,199 --> 01:04:48,119
then right here you can see this is sending curving

958
01:04:48,239 --> 01:04:53,960
parabolic signal in the spectrogram. It's just a beautiful example

959
01:04:54,000 --> 01:04:58,559
of a long, languid, drawn out whoop. Let's play this

960
01:04:58,599 --> 01:05:12,840
a couple of times. That's yeah, that's actually a whoop.

961
01:05:13,199 --> 01:05:16,239
Let's think you were just a little bit because the

962
01:05:16,440 --> 01:05:19,679
zipper vocal is right after this, a little bit farther,

963
01:05:22,760 --> 01:05:23,519
keep going.

964
01:05:26,440 --> 01:05:30,280
Speaker 5: And farther. Now that's something else, okay.

965
01:05:29,960 --> 01:05:33,800
Speaker 11: Right there, well we just yeah, right there stop Beginning

966
01:05:33,840 --> 01:05:38,599
at one oh two, you can see these very vague

967
01:05:38,719 --> 01:05:42,599
vertical bars from like one o three, one oh four,

968
01:05:42,760 --> 01:05:46,639
and right at one oh five. Those are actually zipper vocals.

969
01:05:46,800 --> 01:05:48,719
They're subtle and hard to hear. I don't know if

970
01:05:48,719 --> 01:05:55,880
I'll come through in this video.

971
01:05:53,639 --> 01:05:56,320
Speaker 5: On to what I find to be the most interesting

972
01:05:56,360 --> 01:06:04,320
part of this recording. Yeah, they didn't really come through.

973
01:06:05,320 --> 01:06:07,920
Speaker 10: Okay, Devin, I think you amplify it all.

974
01:06:08,480 --> 01:06:11,360
Speaker 7: So if we just stick with it here, okay, I'll

975
01:06:11,440 --> 01:06:11,960
keep playing it.

976
01:06:12,599 --> 01:06:17,199
Speaker 11: Sure, two soft vocals that I pointed out before the

977
01:06:17,440 --> 01:06:25,000
long howl earlier, the sounds that had the vibrating characteristic

978
01:06:25,039 --> 01:06:28,800
in them. Here are four more of what I believe

979
01:06:28,840 --> 01:06:32,199
are the same sounds, and you can hear them much

980
01:06:32,239 --> 01:06:35,320
more clearly. They're a little louder here, deeper in pitch,

981
01:06:36,440 --> 01:06:39,840
but I'll loop this and I believe you'll be able

982
01:06:39,840 --> 01:06:57,679
to hear this vibrating noise to them.

983
01:06:57,719 --> 01:07:01,159
Speaker 5: Okay, so this is the important part of this. You

984
01:07:01,159 --> 01:07:05,519
can go ahead and stop it, guys. Yeah, because that's

985
01:07:05,559 --> 01:07:06,519
an eighteen minute video.

986
01:07:07,800 --> 01:07:10,840
Speaker 11: There's so subtle in there that I almost I have

987
01:07:10,920 --> 01:07:15,039
to apologize for something that I didn't know. They wouldn't

988
01:07:15,039 --> 01:07:16,039
come across any better.

989
01:07:17,239 --> 01:07:21,800
Speaker 12: Do you have any Yeah, but it would take me

990
01:07:21,960 --> 01:07:25,239
a while to find it because it's I'm buried it

991
01:07:25,280 --> 01:07:28,000
in some old files.

992
01:07:32,559 --> 01:07:38,039
Speaker 10: It sounds to me, uh, I could hear kind of

993
01:07:38,039 --> 01:07:41,880
a huffing sound with it. Am I incorrect in that? Devin?

994
01:07:42,320 --> 01:07:42,519
Speaker 7: Yeah?

995
01:07:42,599 --> 01:07:45,840
Speaker 11: I think there are a couple of weak background signals

996
01:07:45,840 --> 01:07:46,239
behind you.

997
01:07:46,400 --> 01:07:50,960
Speaker 8: Yeah KAYU said he can send them right now to Jeff. Sure,

998
01:07:52,400 --> 01:07:53,079
go ahead, please.

999
01:07:54,760 --> 01:07:56,800
Speaker 5: Yeah, I didn't know how this forum was.

1000
01:07:57,079 --> 01:07:59,360
Speaker 8: How do you know? So here's the here's the dumb

1001
01:07:59,519 --> 01:08:02,159
question of the day. How do you know they're not

1002
01:08:02,400 --> 01:08:05,400
just somebody in camp opening their sleeping bag.

1003
01:08:05,599 --> 01:08:09,559
Speaker 11: Because there was no camp in this situation, oh Sea.

1004
01:08:10,199 --> 01:08:14,440
This was recorded by a fellow named Ben Rivers, now deceased.

1005
01:08:15,199 --> 01:08:18,239
But he had gone out kind of trying to collect

1006
01:08:18,279 --> 01:08:21,359
his own evidence. He's a bigfoot skeptic, and he was

1007
01:08:21,439 --> 01:08:24,359
just hiking on a trail. Son had gone down and

1008
01:08:24,399 --> 01:08:26,960
here at first he heard a howl, and so he

1009
01:08:27,000 --> 01:08:30,239
started recording, and he got another howl, a few more howls.

1010
01:08:30,640 --> 01:08:33,439
He got these zipper type vocals which he could hear

1011
01:08:33,479 --> 01:08:36,399
with his ear, and then there's a few more vocals

1012
01:08:36,399 --> 01:08:38,039
after those zipper vocals.

1013
01:08:39,560 --> 01:08:42,800
Speaker 10: So, Devin, you're calling it a vocal, so that means

1014
01:08:43,600 --> 01:08:50,199
they're producing them through a voice the situation, not not

1015
01:08:51,359 --> 01:08:55,199
blowing through their hands or something of that nature. You

1016
01:08:55,800 --> 01:09:00,399
seem to think that it's a something coming from a voice.

1017
01:09:00,520 --> 01:09:03,439
Speaker 5: Well, I think it's oral.

1018
01:09:04,199 --> 01:09:07,000
Speaker 11: You know, maybe they're vibrating their lips like doing or

1019
01:09:07,039 --> 01:09:09,560
something like that. That would make the most sense to me.

1020
01:09:10,199 --> 01:09:12,640
But I do believe it's not mechanical.

1021
01:09:12,680 --> 01:09:12,960
Speaker 5: I don't.

1022
01:09:13,199 --> 01:09:16,199
Speaker 11: And with regard to they're using something else to produce

1023
01:09:16,239 --> 01:09:18,960
the sound, I think it's just something that they can do,

1024
01:09:19,439 --> 01:09:21,439
similar to like you know, they can make a mouth.

1025
01:09:21,279 --> 01:09:23,000
Speaker 10: Pop, you know, right right?

1026
01:09:24,199 --> 01:09:27,239
Speaker 9: I agree, I think they can. Now, these are theither

1027
01:09:27,279 --> 01:09:29,520
hanimals that are way bigger than us. They can do

1028
01:09:29,640 --> 01:09:32,720
things that we don't understand. I think for us to

1029
01:09:32,840 --> 01:09:36,239
think we can understand it, I think it's crazy. But

1030
01:09:36,319 --> 01:09:38,920
I think still studying it is good. But I don't

1031
01:09:38,920 --> 01:09:41,760
think we can ever second guess anything. It's got to

1032
01:09:42,039 --> 01:09:42,920
keep moving forward.

1033
01:09:44,199 --> 01:09:46,399
Speaker 11: Yeah, And the best all we can really do is

1034
01:09:46,600 --> 01:09:51,600
infer some potential meaning based upon what we can deserve.

1035
01:09:52,119 --> 01:09:55,119
And the only thing I can observe about Zibber vocals

1036
01:09:55,159 --> 01:09:59,000
is they have this particular type of sound, and they

1037
01:09:59,119 --> 01:10:03,479
always have been captured when a human was present with

1038
01:10:03,560 --> 01:10:07,159
a recorder and a sasquatch seemed to be nearby.

1039
01:10:07,279 --> 01:10:09,319
Speaker 5: Otherwise you never hear them.

1040
01:10:09,680 --> 01:10:14,279
Speaker 8: Well, I talked to Adam was camping for thirty days

1041
01:10:15,239 --> 01:10:18,119
and he was with his wife had come up to visit,

1042
01:10:18,399 --> 01:10:21,479
and they called me the next day said they were

1043
01:10:21,560 --> 01:10:28,199
hearing these zipper, very clear zipper sounds outside the tent. Well.

1044
01:10:28,239 --> 01:10:32,119
They were both listening, and at first Adam thought his

1045
01:10:32,199 --> 01:10:35,800
wife had unzipped a sleeping bag, and she's like, no,

1046
01:10:36,399 --> 01:10:40,359
I didn't you know. Then they kept hearing those sounds.

1047
01:10:41,800 --> 01:10:44,479
Have you talked to any witnesses that have heard that,

1048
01:10:44,680 --> 01:10:46,800
like up near them like that.

1049
01:10:48,600 --> 01:10:51,479
Speaker 11: I did speak to the fellow who recorded that Ben

1050
01:10:51,640 --> 01:10:55,000
River originally, and to him he said, at the time,

1051
01:10:55,039 --> 01:10:56,199
it didn't sound like a zipper.

1052
01:10:56,239 --> 01:11:00,199
Speaker 5: It sounded more like somebody beating on a big place.

1053
01:11:00,000 --> 01:11:04,600
Speaker 11: Elastic trash can, which, okay, if you're there in the

1054
01:11:04,640 --> 01:11:07,600
live presence of the audio, maybe it does sound different.

1055
01:11:09,760 --> 01:11:15,960
Others I've spoken to, maybe it was Chris Spencer who

1056
01:11:17,760 --> 01:11:20,680
had He was in a situation where he believed there

1057
01:11:20,720 --> 01:11:24,000
was a sasquatch in front of him, and then suddenly,

1058
01:11:24,000 --> 01:11:26,880
from about twenty feet behind him, he heard a zipper

1059
01:11:26,960 --> 01:11:29,880
vocal or he heard a vocal and when I studied

1060
01:11:29,880 --> 01:11:33,319
the audio, there was a zipper in that vocal and

1061
01:11:33,520 --> 01:11:35,640
it surprised him to the point where he snapped his

1062
01:11:35,640 --> 01:11:37,039
head around and said, what the.

1063
01:11:37,079 --> 01:11:37,520
Speaker 8: F was that?

1064
01:11:38,239 --> 01:11:43,800
Speaker 11: Yeah, And I did speak to him about that, and

1065
01:11:45,800 --> 01:11:47,920
so we discussed it. He didn't really pick up on

1066
01:11:47,960 --> 01:11:51,199
the zipper part of it, but the recorder clearly caught it.

1067
01:11:52,239 --> 01:11:54,840
So it may be the kind of thing that it's

1068
01:11:54,840 --> 01:11:57,800
so subtle in the moment a lot of people don't

1069
01:11:57,840 --> 01:12:02,520
necessarily hear it. I have recorded it once while I

1070
01:12:02,600 --> 01:12:04,960
was in the field and I had just made a

1071
01:12:05,000 --> 01:12:08,640
whoop or a howl or something, and a few seconds

1072
01:12:08,720 --> 01:12:12,560
later caught a zipper vocal from not too far away,

1073
01:12:12,960 --> 01:12:14,640
But at the time I did not hear it.

1074
01:12:15,239 --> 01:12:20,840
Speaker 8: Okay, we had an experience up at Snow Grove where

1075
01:12:20,880 --> 01:12:23,840
Adam got up really early in the morning and he

1076
01:12:23,960 --> 01:12:27,319
kept hearing this thing going zip zip. I mean, he

1077
01:12:27,399 --> 01:12:30,600
can only eat that's not what it sounded like. But

1078
01:12:30,680 --> 01:12:34,079
he was hearing a zip, zip, zip, a little one

1079
01:12:34,960 --> 01:12:37,239
and it kept going. He thought it sounded like kind

1080
01:12:37,239 --> 01:12:42,479
of like electricity, sort of like a Tesla coil zapping,

1081
01:12:42,600 --> 01:12:47,800
you know, that's zip. And then he he just spoke,

1082
01:12:47,920 --> 01:12:52,439
he goes, okay, guys, whatever, I'm just gonna throw in

1083
01:12:52,520 --> 01:12:55,439
some gas in the generator. And then he heard a

1084
01:12:55,479 --> 01:13:00,439
big one zoop zop zup, and then the old one

1085
01:13:01,640 --> 01:13:02,600
was quiet.

1086
01:13:03,119 --> 01:13:03,640
Speaker 5: Interesting.

1087
01:13:04,000 --> 01:13:06,159
Speaker 8: It's just another crazy story.

1088
01:13:06,159 --> 01:13:09,680
Speaker 11: That suggests if it is a nickname for us that

1089
01:13:09,680 --> 01:13:12,359
they're using, then they could also be used as a warning.

1090
01:13:12,760 --> 01:13:15,439
Speaker 8: Well see it fits with your story or your your

1091
01:13:15,640 --> 01:13:20,319
little theory. Because he was he just kind of normally

1092
01:13:20,560 --> 01:13:23,960
normally gets nobody gets up that early. It was just

1093
01:13:24,000 --> 01:13:27,640
that the crack at Donning bumped out of the cabin

1094
01:13:27,720 --> 01:13:30,479
and started hearing this zip zip.

1095
01:13:31,560 --> 01:13:33,720
Speaker 9: I think we got to think about, like I told

1096
01:13:33,760 --> 01:13:37,039
you about the the noise that made me calm. I'm

1097
01:13:37,079 --> 01:13:39,640
sure they can do a noise that scares you.

1098
01:13:40,079 --> 01:13:41,119
Speaker 5: Yeah, you know what I mean.

1099
01:13:41,960 --> 01:13:42,800
Speaker 7: You know, well, you know.

1100
01:13:43,560 --> 01:13:46,399
Speaker 9: We got to think about everything, you know what I mean.

1101
01:13:46,880 --> 01:13:49,960
So it's like lions can do it and we can't

1102
01:13:49,960 --> 01:13:52,800
hear a lot of what elephants say. I think we

1103
01:13:52,920 --> 01:13:54,479
have to think about those kind of things.

1104
01:13:54,680 --> 01:13:54,920
Speaker 5: Yeah.

1105
01:13:54,960 --> 01:13:59,960
Speaker 11: Well, the other end of my experiences, I've studied recordings

1106
01:14:00,319 --> 01:14:02,880
folks have captured all around the country which have the

1107
01:14:02,920 --> 01:14:07,960
most blood curdling streaks. I mean, I mean far beyond

1108
01:14:07,960 --> 01:14:12,319
anything a human would likely do, and just captured out

1109
01:14:12,359 --> 01:14:15,159
in the deep forest or out in open farm country,

1110
01:14:15,840 --> 01:14:20,800
and they're simply terrifying to listen to. Even sitting here

1111
01:14:20,800 --> 01:14:24,479
in my office, I can just imagine what it would

1112
01:14:24,479 --> 01:14:26,159
be like to hear a streak like that in the

1113
01:14:26,159 --> 01:14:28,720
middle of the night. And I'm not talking about you know,

1114
01:14:29,039 --> 01:14:31,800
bar ows making there a weird streaky.

1115
01:14:31,439 --> 01:14:32,199
Speaker 9: Thing I've heard.

1116
01:14:32,439 --> 01:14:35,199
Speaker 5: I don't like a ghoulish shreak.

1117
01:14:35,920 --> 01:14:41,640
Speaker 10: So, Devin, Devin, I have a question. Do you see

1118
01:14:41,680 --> 01:14:44,640
the zipper vocal before you hear it? I mean, you're

1119
01:14:44,720 --> 01:14:47,399
looking at the audioing, oh my god, there's a zipper

1120
01:14:48,000 --> 01:14:51,279
vocal because you can you can tell in the spectrogram

1121
01:14:51,359 --> 01:14:54,920
that it has a signature of the zipper.

1122
01:14:55,960 --> 01:14:59,119
Speaker 11: Because it's a fairly broadband signal. I may not recognize

1123
01:14:59,119 --> 01:15:01,640
immediately that that's going to be a zipper before I

1124
01:15:01,720 --> 01:15:06,319
get to it, but I'll see some signal strength there

1125
01:15:06,640 --> 01:15:08,880
and I'll know, okay, pay attention to that there's something

1126
01:15:08,920 --> 01:15:12,359
going on, and then when I listen to it it, yeah,

1127
01:15:12,479 --> 01:15:16,960
may discover it's a zipper. But honestly, zippers. I've only

1128
01:15:17,000 --> 01:15:20,640
heard that vocal maybe twenty times in all the recordings

1129
01:15:20,600 --> 01:15:23,199
I've std and it's literally thousands of clips.

1130
01:15:23,640 --> 01:15:24,399
Speaker 8: It's rare.

1131
01:15:24,760 --> 01:15:27,840
Speaker 11: Yeah, I wouldn't waste a lot of time on it.

1132
01:15:27,840 --> 01:15:31,000
It's just very interesting and very unique. It's also a

1133
01:15:31,079 --> 01:15:32,359
minority of what we hear.

1134
01:15:33,119 --> 01:15:36,560
Speaker 7: So I got those clips from Tristan and I'll just

1135
01:15:36,560 --> 01:15:39,960
as an aside first of perspective on this. We have

1136
01:15:40,680 --> 01:15:45,640
decades of whale songs, dolphin songs, I mean decades, hours

1137
01:15:45,640 --> 01:15:47,520
and countless hours, and we don't know what the heck

1138
01:15:47,560 --> 01:15:49,560
they're saying. So if we can't figure out what they're saying,

1139
01:15:50,319 --> 01:15:52,960
you probably can't feel guilty about not knowing my bigfoot

1140
01:15:53,000 --> 01:15:54,520
saying either. Ye know what I mean. I mean we've

1141
01:15:54,520 --> 01:15:58,319
got hours, countless hours of that. We can't figure it out.

1142
01:15:58,359 --> 01:16:02,479
So yeah, understanding what they're saying.

1143
01:16:02,720 --> 01:16:05,000
Speaker 5: Yeah, yeah, And that's not my goal at all.

1144
01:16:05,520 --> 01:16:10,319
Speaker 11: It's just to recognize that there is consistency in what

1145
01:16:10,359 --> 01:16:13,159
they're saying, and that's at the heart of communication.

1146
01:16:13,319 --> 01:16:17,399
Speaker 5: If they're using over, that's how you communicate.

1147
01:16:17,520 --> 01:16:21,079
Speaker 7: Yeah. Same same with Citians. I mean, they're they're consistently No,

1148
01:16:21,159 --> 01:16:21,760
it's the language.

1149
01:16:21,880 --> 01:16:26,359
Speaker 8: Have no mike when you would have this creature approach

1150
01:16:26,520 --> 01:16:29,439
your window, Was there ever a time it didn't do

1151
01:16:29,520 --> 01:16:33,119
the buzz sound every time? Consistent?

1152
01:16:33,640 --> 01:16:34,800
Speaker 7: Not that I remember.

1153
01:16:35,760 --> 01:16:40,600
Speaker 9: It's amazing how many years, long time. I thought it

1154
01:16:40,680 --> 01:16:44,039
was like a dream. My dad started talking about it then, Yeah,

1155
01:16:44,239 --> 01:16:45,079
I asked them about it.

1156
01:16:45,159 --> 01:16:45,560
Speaker 7: Yeah.

1157
01:16:45,800 --> 01:16:49,159
Speaker 8: Did did anybody else hear those buzz Nope?

1158
01:16:49,199 --> 01:16:53,000
Speaker 9: I asked him, ask my mom, me and my dog.

1159
01:16:54,800 --> 01:16:56,560
Speaker 7: Well, I got three clips here from Tristian. You want

1160
01:16:56,560 --> 01:16:57,000
to hear those?

1161
01:16:57,600 --> 01:16:57,840
Speaker 9: Yep?

1162
01:16:59,159 --> 01:17:28,840
Speaker 7: All right, Okay, I got another one here, I got

1163
01:17:28,880 --> 01:18:17,520
one more, I'll play stream. Interesting.

1164
01:18:18,199 --> 01:18:19,680
Speaker 9: The last one was very cool.

1165
01:18:20,279 --> 01:18:24,319
Speaker 7: Yeah, I like Brendan's comment, you can't figure out you

1166
01:18:24,439 --> 01:18:25,680
a teenager language either?

1167
01:18:29,319 --> 01:18:37,520
Speaker 8: Were those the y I'm sorry Tristan's Okay, Tristan's recordings?

1168
01:18:37,520 --> 01:18:39,399
Were those the zipper sounds?

1169
01:18:40,680 --> 01:18:44,119
Speaker 11: No? I heard what I heard through my speakers were

1170
01:18:44,359 --> 01:18:47,399
subtle vocals, voice vocals.

1171
01:18:47,840 --> 01:18:49,520
Speaker 5: Okay, Yeah.

1172
01:18:49,600 --> 01:18:52,239
Speaker 11: I guess what was interesting about them with you know,

1173
01:18:52,319 --> 01:18:57,079
with just this cursory pass, no headphones, no software tools,

1174
01:18:57,840 --> 01:19:04,600
is they're consistent with regard to the unusual nature of

1175
01:19:04,640 --> 01:19:09,119
them instructure. That's one of the things that both David

1176
01:19:09,159 --> 01:19:12,279
and I have noticed is that Sasquat's vocals can be

1177
01:19:12,399 --> 01:19:17,560
very weird, you know, the combinations of just strange utterances,

1178
01:19:18,359 --> 01:19:22,520
and the first two there definitely sounded like, you know,

1179
01:19:22,600 --> 01:19:25,920
somewhat strange utterances. The first one sounded a little bit

1180
01:19:26,000 --> 01:19:28,760
like a double whoop, and the second one was just

1181
01:19:28,840 --> 01:19:29,640
kind of strange.

1182
01:19:30,520 --> 01:19:33,960
Speaker 8: Yeah, well, I personally yet to hear the day Zippers

1183
01:19:34,000 --> 01:19:37,840
sound clearly, so I'm confused it was to what it

1184
01:19:38,000 --> 01:19:38,720
is exactly.

1185
01:19:39,920 --> 01:19:44,479
Speaker 5: It's without clip, it can be hard to hear.

1186
01:19:45,319 --> 01:19:45,680
Speaker 8: Go ahead.

1187
01:19:46,479 --> 01:19:49,760
Speaker 9: That last recording was was very cool that the first

1188
01:19:49,880 --> 01:19:54,800
voice that came on was very close to the to

1189
01:19:54,880 --> 01:19:57,399
the tone of the sound I used to hear, and

1190
01:19:57,439 --> 01:20:00,760
then it went on to something else that was much lower.

1191
01:20:01,079 --> 01:20:04,720
There was two different sounds on that recording. I really

1192
01:20:05,199 --> 01:20:08,279
liked that recording and actually kind of gave me goosebumps

1193
01:20:08,319 --> 01:20:08,840
the first one.

1194
01:20:09,840 --> 01:20:12,880
Speaker 8: And Jeff, do you have any of the buzz hum

1195
01:20:12,920 --> 01:20:14,439
recordings from previous?

1196
01:20:16,800 --> 01:20:18,600
Speaker 7: Which one you're looking for? Yeah? I have all of them?

1197
01:20:21,199 --> 01:20:22,479
Which which one specific?

1198
01:20:23,920 --> 01:20:24,159
Speaker 8: Only?

1199
01:20:24,239 --> 01:20:28,960
Speaker 9: It played was really good, the Russian ones.

1200
01:20:29,199 --> 01:20:34,119
Speaker 10: Do you have the j A John Andrews j A PG.

1201
01:20:37,000 --> 01:20:39,720
Speaker 7: From David Let's see here, I gotta do a little

1202
01:20:39,720 --> 01:20:46,920
bit of digging. Yes, the j A PG went attached.

1203
01:20:47,199 --> 01:20:55,800
Speaker 10: Interesting thing about this recording it calmed Paul Graves within uh,

1204
01:20:56,359 --> 01:20:58,520
I want to say seconds, but it's probably a little

1205
01:20:58,520 --> 01:21:00,920
longer than that. But it put him right back to sleep.

1206
01:21:02,119 --> 01:21:06,039
Like what Mike said that it calmed him. So this

1207
01:21:06,319 --> 01:21:10,359
is important that it connects with what Mike is saying

1208
01:21:10,760 --> 01:21:14,079
that it created a a calming effect.

1209
01:21:15,479 --> 01:21:17,880
Speaker 7: Yep, this is the one that's uh j A p

1210
01:21:18,079 --> 01:21:35,119
G when that one, Yes, yep, got it right here, m.

1211
01:21:39,359 --> 01:21:43,039
Speaker 9: Very glow and his luck not lower and lower and.

1212
01:21:53,640 --> 01:22:01,159
Speaker 13: Yeah mm hmm yea.

1213
01:22:33,000 --> 01:22:34,159
Speaker 7: All right, that's what Jeff.

1214
01:22:34,279 --> 01:22:36,880
Speaker 10: Thanks, Yeah, I think that was looped three times if

1215
01:22:36,920 --> 01:22:38,920
you were going, yeah that one.

1216
01:22:39,159 --> 01:22:42,520
Speaker 8: Yeah, Mike, what do you what do you think about

1217
01:22:43,079 --> 01:22:44,479
Jen Andrews recording?

1218
01:22:45,840 --> 01:22:47,760
Speaker 9: The one I heard was a little lower and told

1219
01:22:47,840 --> 01:22:51,560
but yeah, and mine didn't stop. But yeah, that's the close.

1220
01:22:52,119 --> 01:22:55,680
It's very very close. Yeah, okay, I'll tell you figured

1221
01:22:55,680 --> 01:22:58,359
get me up on my arm? Actually, what's he but here?

1222
01:22:58,439 --> 01:23:03,439
Speaker 8: But here's what this does, Like, don't take any offense

1223
01:23:03,520 --> 01:23:08,159
by what I'm about to say, but it in some

1224
01:23:08,199 --> 01:23:13,640
ways because we've been working on this from two years

1225
01:23:14,039 --> 01:23:18,960
two years, but from other people and historical things, it

1226
01:23:19,159 --> 01:23:22,920
validates your story. Does that make sense?

1227
01:23:23,239 --> 01:23:24,199
Speaker 9: Yeah? I get that.

1228
01:23:24,279 --> 01:23:27,199
Speaker 8: Yeah, it validates it because that's not something you would

1229
01:23:27,359 --> 01:23:31,680
ever have known. It's a detail to your story, a

1230
01:23:31,840 --> 01:23:35,880
secret detail that you've brought up and suddenly we can

1231
01:23:35,920 --> 01:23:39,399
go that's what happened to him.

1232
01:23:39,319 --> 01:23:41,479
Speaker 9: Because I was I was young. For for years I

1233
01:23:41,520 --> 01:23:46,840
thought it was a dream. Yeah, yeah, no, I get it.

1234
01:23:46,840 --> 01:23:49,920
Speaker 8: It really does validate your story. And do you think,

1235
01:23:50,079 --> 01:23:53,880
I mean, do you agree with that, Devin, that when

1236
01:23:55,079 --> 01:23:57,399
in some detail like this comes out of an old

1237
01:23:57,520 --> 01:24:02,319
story that they couldn't know, it just kind of makes

1238
01:24:02,319 --> 01:24:06,119
you not that it's a scientific validation, but it's an

1239
01:24:06,159 --> 01:24:08,199
amazing personal validation.

1240
01:24:09,359 --> 01:24:11,279
Speaker 11: Let me just say, you know, if you can prove

1241
01:24:11,359 --> 01:24:14,640
the providence of that sound, you know that it wasn't hoaxed,

1242
01:24:14,760 --> 01:24:19,760
is what I'm saying, then it could be uh, you know,

1243
01:24:20,399 --> 01:24:24,520
indicative of Okay, here here's something similar to what Mike

1244
01:24:24,600 --> 01:24:30,279
says he heard. So that lends some credibility to Mike's experience.

1245
01:24:32,039 --> 01:24:35,439
And so in that regard, it's it's worth considering. Certainly,

1246
01:24:35,640 --> 01:24:39,560
it doesn't prove anything, but it's it's always good if

1247
01:24:39,600 --> 01:24:42,680
you have something that's a demonstration of what Mike.

1248
01:24:44,520 --> 01:24:47,560
Speaker 8: Yeah, but to me, informally, to me in penology is

1249
01:24:47,600 --> 01:24:53,479
the word, informally, it does because that's not something Mike

1250
01:24:53,479 --> 01:24:59,520
could ever have known. That detail. It's just like the

1251
01:24:59,560 --> 01:25:04,800
sale audio, so we hear that buzz the same stuff,

1252
01:25:05,239 --> 01:25:07,119
and that's a recorded way back.

1253
01:25:07,640 --> 01:25:15,640
Speaker 10: So just to inform everybody, I ran across Mike's encounter

1254
01:25:15,840 --> 01:25:24,399
story from a podcast Shane Grove has. It's from the Shadows,

1255
01:25:24,800 --> 01:25:30,039
the only one I've ever done. And this was right

1256
01:25:30,119 --> 01:25:36,880
after our conversation with private conversation with Tristan, so it

1257
01:25:36,960 --> 01:25:41,159
wasn't even out. We hadn't done untold radio. Nobody knew

1258
01:25:41,159 --> 01:25:45,479
about this particular sound except you, myself and Tristan that

1259
01:25:45,560 --> 01:25:49,680
there might be some correlation. And then I hear this

1260
01:25:50,119 --> 01:25:55,960
story on another podcast within a couple of days, so

1261
01:25:56,079 --> 01:26:01,960
it was a synchronicity thing. But it's set up all

1262
01:26:02,039 --> 01:26:04,279
kinds of alarm belts.

1263
01:26:03,720 --> 01:26:07,199
Speaker 8: For me, right, Yeah, It's just it's kind of a

1264
01:26:08,199 --> 01:26:14,640
nudge in the right direction going Mike, you recalled something

1265
01:26:14,760 --> 01:26:18,880
really interesting. It's a detail that you know, you've certainly

1266
01:26:19,199 --> 01:26:24,199
uh hadds credibility does the whole story, you know, and

1267
01:26:24,640 --> 01:26:26,039
God knows we all need that.

1268
01:26:26,680 --> 01:26:31,000
Speaker 9: Strange you know, it's it's the subject that doesn't quit.

1269
01:26:32,960 --> 01:26:36,359
And as soon as you know it seems like you

1270
01:26:36,359 --> 01:26:37,039
you see.

1271
01:26:36,880 --> 01:26:37,840
Speaker 5: More, you know more.

1272
01:26:38,159 --> 01:26:42,359
Speaker 8: It's do you do you have any reservations in telling

1273
01:26:42,439 --> 01:26:44,039
your story to strangers.

1274
01:26:44,079 --> 01:26:47,439
Speaker 9: Mike, No, no, I never, I never do. I'm I

1275
01:26:47,520 --> 01:26:56,279
got big fisttickers on my car. I I talk to everybody. Yeah, yeah,

1276
01:26:56,399 --> 01:27:00,000
I'm not that guy. I'm not shy about anything.

1277
01:27:00,319 --> 01:27:02,840
Speaker 8: Well when did the encounters start? Hold were you? When

1278
01:27:02,840 --> 01:27:03,399
did the end?

1279
01:27:03,640 --> 01:27:07,640
Speaker 9: I was about seven by the day, have never end.

1280
01:27:07,039 --> 01:27:10,000
I got pictures of them at my house I live

1281
01:27:10,039 --> 01:27:13,800
at now. I saw them on a couple of weeks ago.

1282
01:27:14,640 --> 01:27:17,640
Oh yeah, it seems like once you see them, I

1283
01:27:17,760 --> 01:27:21,319
just it just happens. I think once you see them,

1284
01:27:21,760 --> 01:27:25,479
you see them easier. I don't know why, Mike.

1285
01:27:25,560 --> 01:27:29,039
Speaker 10: I think we might want to just take a quick

1286
01:27:29,319 --> 01:27:35,479
detour and talk about the melt cows on your property

1287
01:27:35,920 --> 01:27:39,079
off the way Nucci. Now, I also have something to

1288
01:27:39,119 --> 01:27:44,279
add to that your story. You gave a location which

1289
01:27:44,319 --> 01:27:48,479
I'm not going to give out, but one mile from

1290
01:27:48,640 --> 01:27:52,720
your house where you were having activity. I received a

1291
01:27:52,760 --> 01:27:55,279
phone call from a witness, went out and did an

1292
01:27:55,319 --> 01:27:59,359
investigation on their property, which is a mile south of

1293
01:27:59,399 --> 01:28:02,039
where you were having your interactions.

1294
01:28:02,199 --> 01:28:03,399
Speaker 9: So where you were at.

1295
01:28:05,960 --> 01:28:08,680
Speaker 10: So, uh, you've got to hear this story. I think

1296
01:28:08,720 --> 01:28:10,720
you have, but everybody should hear it.

1297
01:28:11,359 --> 01:28:16,479
Speaker 8: Shoot, I am all years. Go ahead, Mike.

1298
01:28:21,159 --> 01:28:24,159
Speaker 10: Ke yep, you want to you want to tell the

1299
01:28:24,720 --> 01:28:26,000
tell your story house.

1300
01:28:26,720 --> 01:28:28,800
Speaker 9: Yeah, I grew up on a on a dairy farm

1301
01:28:29,399 --> 01:28:33,720
on the mill pretty much Bordlin Olympic Peninsula. And uh,

1302
01:28:34,199 --> 01:28:37,920
once in a while we would get cows who would

1303
01:28:37,920 --> 01:28:39,560
come in. Well, I grew up on dairy farm, so

1304
01:28:39,560 --> 01:28:42,640
we milk cows for a living, and and cows will

1305
01:28:42,640 --> 01:28:46,159
always come in full of milk every morning. But once

1306
01:28:46,199 --> 01:28:48,199
in a while we would have one that would come

1307
01:28:48,239 --> 01:28:52,600
in that would be milk. It would be empty, completely empty,

1308
01:28:53,199 --> 01:28:56,760
and we we just couldn't figure it out, but eventually

1309
01:28:56,800 --> 01:29:01,279
became a figure that because uh, a cow has fourteen

1310
01:29:01,439 --> 01:29:04,800
so it takes hands to milk all four and uh,

1311
01:29:05,760 --> 01:29:07,840
and so we knew something had to be milking him.

1312
01:29:07,840 --> 01:29:11,000
But we were way out in the middle of nowhere,

1313
01:29:11,319 --> 01:29:13,319
so we knew it wasn't somebody else coming out and

1314
01:29:13,319 --> 01:29:17,239
milking our cows. And then we started fighting buckets from

1315
01:29:17,359 --> 01:29:22,079
farms four miles down in our woods. And so we

1316
01:29:22,199 --> 01:29:25,680
just figured that over the years, because this farm had

1317
01:29:25,680 --> 01:29:29,159
been around for like four generations, that somebody had figured out.

1318
01:29:29,560 --> 01:29:32,399
They probably had watched and probably figured it out, and

1319
01:29:32,520 --> 01:29:35,000
they just knew how to do it, and so whenever

1320
01:29:35,119 --> 01:29:37,359
the cow came in milk, we just says, I hope

1321
01:29:37,399 --> 01:29:43,920
you enjoyed it. It was he turned into a joke.

1322
01:29:43,960 --> 01:29:45,279
We just kind of knew what was gonna happen.

1323
01:29:46,439 --> 01:29:53,439
Speaker 8: Yeah, And so it implied that bigfoots were either milking

1324
01:29:53,479 --> 01:29:58,560
the cows or feeding somehow, which doesn't sound that I mean,

1325
01:29:58,600 --> 01:29:59,960
it doesn't sound like crazy to me.

1326
01:30:01,119 --> 01:30:04,880
Speaker 9: Well no, well we've heard about them braining the the

1327
01:30:04,920 --> 01:30:08,319
mains on hosses. We've heard a lot of you and

1328
01:30:08,359 --> 01:30:11,640
this is pretty simple and they're very smart. So yeah,

1329
01:30:11,680 --> 01:30:14,319
it doesn't surprise me a bit. And we just kind

1330
01:30:14,319 --> 01:30:17,920
of figured it was what it was, and we just

1331
01:30:17,960 --> 01:30:18,439
didn't care.

1332
01:30:18,800 --> 01:30:23,680
Speaker 8: What's interesting, it's very interesting. It's the anecdotal stories. But boy,

1333
01:30:25,000 --> 01:30:27,079
you know when you hear these stories of the mains

1334
01:30:27,159 --> 01:30:31,640
being braided too. Yeah, the witches what do they call them? Witches?

1335
01:30:31,760 --> 01:30:32,039
Speaker 7: Nuts?

1336
01:30:32,279 --> 01:30:34,920
Speaker 8: Yeah, yeah, it's fascinating.

1337
01:30:35,399 --> 01:30:38,199
Speaker 9: Yeah, we never said that, but we definitely had our

1338
01:30:38,239 --> 01:30:38,800
cow's milk.

1339
01:30:39,760 --> 01:30:43,560
Speaker 10: My grandfather had an eighty acre dairy farm and every

1340
01:30:43,560 --> 01:30:45,239
once in a while he would ask me if I'd

1341
01:30:45,279 --> 01:30:48,439
want some fresh milk, and I stayed sharing. He says, well,

1342
01:30:48,600 --> 01:30:51,359
get down here and he squirt it right into my mouth.

1343
01:30:52,760 --> 01:30:54,359
Speaker 9: I missed the fresh milk more than anything.

1344
01:30:54,439 --> 01:30:57,680
Speaker 8: Let me tell you, did you think, Devin, that bigfoot

1345
01:30:57,720 --> 01:31:02,600
takes advantage of agriculture arms and as food sources.

1346
01:31:03,319 --> 01:31:04,319
Speaker 5: Certainly? Certainly.

1347
01:31:04,359 --> 01:31:07,680
Speaker 11: I mean, at the very least, I could imagine them

1348
01:31:07,720 --> 01:31:11,159
out there picking corn the backside of the you know,

1349
01:31:11,199 --> 01:31:12,359
an eighty acre corn.

1350
01:31:15,119 --> 01:31:18,359
Speaker 8: And I've met witnesses that have seen them in cornfields,

1351
01:31:18,399 --> 01:31:19,640
like in the cornfield.

1352
01:31:20,239 --> 01:31:25,359
Speaker 9: Yeah lot, Actually, yeah, no, I don't doubt that at all.

1353
01:31:26,319 --> 01:31:26,560
Speaker 7: Yeah.

1354
01:31:26,720 --> 01:31:29,720
Speaker 8: And you know, so many people think they need to

1355
01:31:29,720 --> 01:31:33,600
do research in the middle of nowhere, you know, uh,

1356
01:31:33,680 --> 01:31:37,800
in the area of like area X. But man, they

1357
01:31:37,840 --> 01:31:41,880
do seem like they come very near civilization.

1358
01:31:42,319 --> 01:31:46,960
Speaker 7: Often no Kim, No Kim to Rocky Mountain oysters, no Kim.

1359
01:31:50,159 --> 01:31:55,479
Speaker 5: Yeah, what are the things I like?

1360
01:31:56,560 --> 01:31:58,439
Speaker 11: One of the things I like to do as part

1361
01:31:58,439 --> 01:32:00,319
of my research is go out and try to get

1362
01:32:00,359 --> 01:32:03,920
them to respond so I can get them recorded. And

1363
01:32:03,960 --> 01:32:08,880
I have found that if I'm close to know human habitation,

1364
01:32:09,800 --> 01:32:12,000
I have a really tough time getting any kind of

1365
01:32:12,000 --> 01:32:15,439
a response, even if they've been seen in the area

1366
01:32:15,600 --> 01:32:19,600
or people have experiences, I can't get a response. But

1367
01:32:19,800 --> 01:32:22,800
if I go into really remote regions, Like one of

1368
01:32:22,840 --> 01:32:26,119
my preferred areas for investigation is up in the mountains

1369
01:32:26,319 --> 01:32:29,720
in West Virginia. I'll go as remote as I possibly can,

1370
01:32:29,800 --> 01:32:32,520
and I know I'm miles and miles from many humans

1371
01:32:33,239 --> 01:32:37,359
or homes, and I get a lot better response out

1372
01:32:37,439 --> 01:32:42,520
there when I vocalize. I'd say ten percent of the

1373
01:32:42,560 --> 01:32:46,319
time I can get a response vocal when I'm farther

1374
01:32:46,359 --> 01:32:50,079
out in the forest. So I have good luck with that.

1375
01:32:51,119 --> 01:32:54,279
Speaker 9: Yeah, I try having kids around. The kids around, they

1376
01:32:54,319 --> 01:33:00,520
go crazy. Yeah, yeah, is a mouth pop of the day.

1377
01:33:00,600 --> 01:33:06,199
It's it's it's it's nuts. Yes, yeah, it's I don't

1378
01:33:06,239 --> 01:33:09,199
know why, but but it's only the springtime. Might not

1379
01:33:09,319 --> 01:33:13,079
there a year round. Springtime says, all the leaves come out,

1380
01:33:13,359 --> 01:33:15,479
They're there for about a month and then they leave.

1381
01:33:17,479 --> 01:33:19,680
Speaker 8: Well, I know for a fact that I don't think

1382
01:33:19,720 --> 01:33:24,319
anybody's used the hum or the humbuzz Per recordings to

1383
01:33:25,239 --> 01:33:30,439
attract a bigfoot. But Chris Reinhart years ago developed a

1384
01:33:30,479 --> 01:33:36,119
way to use and it's forty Hurts tuning forks. He's

1385
01:33:36,159 --> 01:33:40,960
had great luck and big foot activity by either playing

1386
01:33:41,039 --> 01:33:44,319
recordings of the tuning forks going or using the tuning

1387
01:33:44,399 --> 01:33:47,159
Forks and I don't know where he got that idea,

1388
01:33:47,239 --> 01:33:50,439
but he did it at Snell and we we had

1389
01:33:50,520 --> 01:33:52,720
activity that night. That was crazy.

1390
01:33:52,720 --> 01:33:57,600
Speaker 11: It's interesting because that's very close to sound. You know,

1391
01:33:57,680 --> 01:34:00,560
infra sound starts at twenty hurts and goes lower right,

1392
01:34:00,680 --> 01:34:04,199
and so if he's at forty hertz, he's extremely deep.

1393
01:34:04,279 --> 01:34:07,720
Speaker 5: I mean, most humans couldn't hear forty HRTs.

1394
01:34:07,840 --> 01:34:11,199
Speaker 11: They might feel it in their test, but you know

1395
01:34:11,359 --> 01:34:13,920
generally our hearing drops out it around eighty herts.

1396
01:34:15,560 --> 01:34:18,600
Speaker 7: Say, I've got I've got Carl's audio handy, get the

1397
01:34:18,640 --> 01:34:21,079
hum from the cells if you want to know that's

1398
01:34:21,159 --> 01:34:22,640
that's a. That's such a great clip.

1399
01:34:24,640 --> 01:34:24,920
Speaker 8: M h.

1400
01:34:28,680 --> 01:34:29,119
Speaker 7: M hm.

1401
01:34:32,039 --> 01:34:35,119
Speaker 14: M.

1402
01:34:36,239 --> 01:34:38,359
Speaker 8: Feel free to comment, Mike when you're hearing these.

1403
01:34:38,760 --> 01:34:41,800
Speaker 9: Yeah, I wouldn't want to hear that that's from the

1404
01:34:41,840 --> 01:34:42,439
cells site.

1405
01:34:42,560 --> 01:34:44,319
Speaker 7: That's a that's an incredible clip.

1406
01:34:44,119 --> 01:34:47,399
Speaker 8: But it's still that humbuzz kind of perr sound or

1407
01:34:47,399 --> 01:34:48,840
whatever we call it.

1408
01:34:49,560 --> 01:34:53,359
Speaker 9: I would I would say, that's a leave me alone.

1409
01:34:55,119 --> 01:34:59,359
Speaker 8: So are you saying, Mike that okay?

1410
01:35:00,359 --> 01:35:01,479
Speaker 9: That was like roden.

1411
01:35:05,119 --> 01:35:07,760
Speaker 8: Ah Man. Do you have the ones that I recorded

1412
01:35:07,840 --> 01:35:14,079
up at Snell? Probably Chris and Bud recorded.

1413
01:35:15,399 --> 01:35:23,319
Speaker 7: Let's see here, probably let's see here, I'll do some digging.

1414
01:35:25,560 --> 01:35:27,119
Let me, yeah, let me, let me do some digging.

1415
01:35:27,279 --> 01:35:29,680
Speaker 5: Keep I've got it.

1416
01:35:30,039 --> 01:35:30,520
Speaker 7: Okay.

1417
01:35:31,359 --> 01:35:33,479
Speaker 5: Ninja's asking if he can play his clip?

1418
01:35:35,880 --> 01:35:38,479
Speaker 8: Yeah, absolutely, which one?

1419
01:35:38,640 --> 01:35:42,439
Speaker 7: I've got some of the ones from uh last show

1420
01:35:42,479 --> 01:35:44,880
with him? Let's see here with Tristan.

1421
01:35:46,840 --> 01:35:50,640
Speaker 8: Well, here's mine that we recorded just we recorded hours

1422
01:35:50,680 --> 01:35:51,000
of it.

1423
01:35:56,520 --> 01:36:06,199
Speaker 7: H Oh. You know what, Doug, I think I I

1424
01:36:06,239 --> 01:36:08,079
think I found the cleaned up version of that. Gave

1425
01:36:08,119 --> 01:36:13,119
me a second here, yep, I got I've got the

1426
01:36:15,159 --> 01:36:16,920
here we go, got the direct version here?

1427
01:36:18,960 --> 01:36:27,039
Speaker 8: M h Yeah, that's Mike.

1428
01:36:27,359 --> 01:36:30,000
Speaker 10: Any comments, Yeah, nothing that I've heard.

1429
01:36:31,039 --> 01:36:34,199
Speaker 8: Would you would you get you get the similarities? Yeah,

1430
01:36:34,279 --> 01:36:38,720
it's still some kind of a vibrant.

1431
01:36:37,800 --> 01:36:38,840
Speaker 10: Devin, you got something.

1432
01:36:39,079 --> 01:36:39,279
Speaker 7: Yeah.

1433
01:36:39,439 --> 01:36:42,399
Speaker 11: Let me point out this comment from Kim Christensen because

1434
01:36:42,720 --> 01:36:46,399
they're spot on. When we listen to audio, the first

1435
01:36:46,399 --> 01:36:48,920
thing we should always try to do is debunk it,

1436
01:36:49,479 --> 01:36:51,680
and they bring up a good point.

1437
01:36:51,840 --> 01:36:53,600
Speaker 5: Nighthawk boom dive sounds.

1438
01:36:53,680 --> 01:36:56,119
Speaker 11: I have heard those in the past just as part

1439
01:36:56,159 --> 01:37:00,119
of studying, and I guess if we could find one

1440
01:37:00,159 --> 01:37:03,800
of those on YouTube, that might be worth listening to,

1441
01:37:03,880 --> 01:37:07,119
because you never know, this could be a known creature

1442
01:37:07,199 --> 01:37:08,239
making a sound that.

1443
01:37:08,680 --> 01:37:11,600
Speaker 8: Well, night oks, don't they They use kind of a

1444
01:37:11,600 --> 01:37:15,600
sonar too, don't they, Devon not.

1445
01:37:16,199 --> 01:37:17,239
Speaker 5: I don't know, night talk.

1446
01:37:18,399 --> 01:37:21,600
Speaker 10: That's the air braking off their wings, Doug, that creates

1447
01:37:21,640 --> 01:37:24,760
that specific I know.

1448
01:37:25,520 --> 01:37:27,359
Speaker 8: I know they eat small insects.

1449
01:37:27,800 --> 01:37:31,279
Speaker 10: It's similar, But I think that there are differences which

1450
01:37:31,439 --> 01:37:34,239
would come out in a side by side comparison with

1451
01:37:34,279 --> 01:37:35,000
a spectrogram.

1452
01:37:35,840 --> 01:37:40,239
Speaker 8: Jeff, for somebody can or maybe somebody in chat can

1453
01:37:40,359 --> 01:37:43,000
find us a link I've got.

1454
01:37:43,199 --> 01:37:46,560
Speaker 7: Well, meanwhile, I've got Tristan's clip here.

1455
01:37:47,920 --> 01:37:48,319
Speaker 15: M hm.

1456
01:37:50,560 --> 01:38:22,479
Speaker 8: Hm hm, that's coming.

1457
01:38:26,920 --> 01:38:27,840
Speaker 9: It's eating too.

1458
01:38:27,880 --> 01:38:28,600
Speaker 7: Are the name.

1459
01:39:15,960 --> 01:39:16,560
Speaker 9: Hi that one?

1460
01:39:26,000 --> 01:39:28,039
Speaker 7: And I think it was determined that some of that

1461
01:39:28,159 --> 01:39:31,319
sound was confirmed that it was messing with the recorder.

1462
01:39:32,000 --> 01:39:34,359
So a lot of that just random sound was actually

1463
01:39:34,359 --> 01:39:38,119
physically messing with the recorder. I liked that.

1464
01:39:38,439 --> 01:39:42,199
Speaker 9: Footsteps, Yeah, I like that one.

1465
01:39:43,399 --> 01:39:44,680
Speaker 7: Yeah, that's a pretty cool clip.

1466
01:39:45,439 --> 01:39:48,039
Speaker 11: I think I'll offer a different perspective. I'm a little

1467
01:39:48,039 --> 01:39:53,159
skeptical on that one. What I hear is fairly rapid chewing,

1468
01:39:53,800 --> 01:39:59,560
which indicates a small jaw growls. I hear growls, which

1469
01:39:59,560 --> 01:40:03,079
are really common for raccoons, and I think what we

1470
01:40:03,239 --> 01:40:05,359
may be hearing there is somebody has drawn in a

1471
01:40:05,479 --> 01:40:11,920
raccoon to food, and the raccoon is defensively eating that food,

1472
01:40:12,800 --> 01:40:15,319
and we're hearing it growl and smack on the food

1473
01:40:15,319 --> 01:40:15,960
at the same time.

1474
01:40:16,600 --> 01:40:20,439
Speaker 8: Yeah, we recently found they do a kind of a

1475
01:40:20,479 --> 01:40:23,760
purine some kind of purine sound.

1476
01:40:24,840 --> 01:40:27,319
Speaker 9: Yeah, they do. I have bought my house every night,

1477
01:40:27,760 --> 01:40:30,600
but yeah, this one. The footsteps at the beginning, though,

1478
01:40:30,720 --> 01:40:31,560
that throws me off.

1479
01:40:34,439 --> 01:40:43,399
Speaker 7: Yeah, interesting clip, Yes, I got here. Let's see anything

1480
01:40:43,399 --> 01:40:44,560
else having to play Doug.

1481
01:40:46,760 --> 01:40:51,079
Speaker 8: Unless you have the Russian ones that came from.

1482
01:40:51,239 --> 01:40:59,479
Speaker 7: From David birchef see you're doing yep, I do, yep, yep.

1483
01:40:59,560 --> 01:41:01,439
Gave me a second here. I've got a few of

1484
01:41:01,479 --> 01:41:26,520
them here, alright, good. A couple more here and that's looped. Yeah,

1485
01:41:26,560 --> 01:41:40,880
these are all looped, and one more here from that

1486
01:41:40,960 --> 01:41:41,600
same source.

1487
01:41:51,159 --> 01:41:53,399
Speaker 8: It seems to be vocals mixed in with.

1488
01:41:53,279 --> 01:41:57,720
Speaker 9: The yeah never debt, no idea.

1489
01:42:01,279 --> 01:42:02,920
Speaker 7: I've got quite a few here from David.

1490
01:42:03,319 --> 01:42:10,680
Speaker 8: So people aren't talking about cats, moss, night hawks. We

1491
01:42:10,760 --> 01:42:17,279
got raccoons, big cats.

1492
01:42:16,000 --> 01:42:21,159
Speaker 7: Snoring, snoring, Yeah.

1493
01:42:22,760 --> 01:42:28,960
Speaker 8: Yeah, yeah, interesting, very very interesting.

1494
01:42:29,640 --> 01:42:31,039
Speaker 9: A tab tonight it would be good to go.

1495
01:42:34,560 --> 01:42:38,520
Speaker 8: Have you ever heard the your bee buzzying and you

1496
01:42:38,560 --> 01:42:41,479
know in modern times to as you've turned into an

1497
01:42:41,520 --> 01:42:43,199
adult there, Michael.

1498
01:42:43,199 --> 01:42:43,720
Speaker 9: I have not.

1499
01:42:45,000 --> 01:42:51,680
Speaker 7: Oh that's interesting. So they've moved on. You think, Oh,

1500
01:42:52,479 --> 01:42:53,199
I've moved on.

1501
01:42:53,359 --> 01:42:53,800
Speaker 9: I don't live it.

1502
01:42:54,039 --> 01:42:57,359
Speaker 7: Oh, I see, I see interesting.

1503
01:42:59,359 --> 01:43:04,760
Speaker 8: David. Yeah, what do you think should we? Oh?

1504
01:43:04,880 --> 01:43:07,239
Speaker 10: I think we have a whole plethora of things and

1505
01:43:07,319 --> 01:43:13,000
lots of different possibilities. Do I think that they can

1506
01:43:13,279 --> 01:43:17,119
make that particular sound, Well, we have certain eyewitnesses that

1507
01:43:17,319 --> 01:43:20,479
tell us yes. So if we base it off of

1508
01:43:20,720 --> 01:43:26,439
eyewitness testimony, it has legs. Whether what we're hearing or

1509
01:43:27,199 --> 01:43:30,800
looking at here is pertinent to that, I don't know,

1510
01:43:31,760 --> 01:43:33,000
but it's possible.

1511
01:43:33,439 --> 01:43:34,840
Speaker 4: Yeah.

1512
01:43:34,920 --> 01:43:36,840
Speaker 7: I've got a couple more videos here from devn we

1513
01:43:36,840 --> 01:43:37,359
could share.

1514
01:43:37,680 --> 01:43:42,600
Speaker 8: Yeah, let's do it, and Devin you can answer this

1515
01:43:42,880 --> 01:43:47,079
an hour later. What are your thoughts on the warhead stuff,

1516
01:43:48,520 --> 01:43:52,680
the warhead recordings, the Sierra sound.

1517
01:43:53,119 --> 01:43:58,600
Speaker 11: Yeah, I think they're legit, and I do think they're

1518
01:43:58,640 --> 01:44:04,399
Sasquats mobilizations all caveat that. To begin my research, I

1519
01:44:04,439 --> 01:44:09,600
had to begin with the assumption that at least two

1520
01:44:09,640 --> 01:44:14,680
seed clips upon which I was building my analysis were legitimate,

1521
01:44:15,239 --> 01:44:17,520
and if they were legitimate, I should be able to

1522
01:44:17,520 --> 01:44:22,479
find similar signals in other recordings, right, And it's a

1523
01:44:22,520 --> 01:44:26,319
form of link analysis that we do, linking evidence to

1524
01:44:26,359 --> 01:44:32,239
evidence to evidence and building a connected web of verification

1525
01:44:32,479 --> 01:44:37,439
over time. And so there are things in the Sierra sounds,

1526
01:44:37,479 --> 01:44:40,680
the whoops and the what have you that I've been

1527
01:44:40,720 --> 01:44:44,479
able to find in many, many other recordings. And then

1528
01:44:44,520 --> 01:44:50,359
the second audio recording that I assumed was true as

1529
01:44:50,439 --> 01:44:54,359
part of the basis of my analysis was Matt Moneymaker's

1530
01:44:54,439 --> 01:44:58,840
Ohio House. And so between those two clips, I should

1531
01:44:58,880 --> 01:45:03,720
be able to find those vocalizations again. And we know

1532
01:45:03,840 --> 01:45:08,000
we've heard moanhows many times and I've recorded them over

1533
01:45:08,039 --> 01:45:10,079
and over. In fact, that's probably one of the clips

1534
01:45:10,119 --> 01:45:13,800
I shared with you is an example of Moon Hoow's.

1535
01:45:15,159 --> 01:45:17,359
Speaker 7: I agree, Yeah, yeah, I got that one right to hear.

1536
01:45:17,399 --> 01:45:21,239
Hold on a second, Yeah, there's this is the Moonhall clip.

1537
01:45:24,840 --> 01:45:35,319
Speaker 5: Kirk brandon Berg captured. This is the original clip. Person.

1538
01:45:41,640 --> 01:45:44,239
Speaker 11: This is a little weak, but at the end there's

1539
01:45:44,279 --> 01:45:59,760
a louder version. So you'll notice that there were three.

1540
01:46:01,039 --> 01:46:04,520
That's one of those close to the chest characteristics that

1541
01:46:04,560 --> 01:46:06,199
we've held on to for a while.

1542
01:46:06,800 --> 01:46:06,960
Speaker 5: Now.

1543
01:46:06,960 --> 01:46:10,680
Speaker 11: It's out in the public that generally mohow's come in threes,

1544
01:46:35,840 --> 01:46:37,319
and here's two whoops.

1545
01:46:36,960 --> 01:46:47,239
Speaker 7: At the end, and then I've got another one. This

1546
01:46:47,279 --> 01:46:48,960
is the Kentucky vocalizations.

1547
01:46:48,960 --> 01:46:52,239
Speaker 11: It's called yeah, and this is just a collection of

1548
01:46:52,560 --> 01:46:57,640
really odd vocals. There's monhou's in here, there's wood knocks

1549
01:46:57,760 --> 01:47:01,880
very subtle, there's whistles, there's falsetto shrieks.

1550
01:47:02,119 --> 01:47:03,720
Speaker 5: This this has everything in it.

1551
01:47:04,319 --> 01:47:05,119
Speaker 7: Okay, here we go.

1552
01:47:09,039 --> 01:47:32,039
Speaker 15: H h yeah, humans, here you go.

1553
01:47:38,960 --> 01:47:56,680
Speaker 14: Not trying time, no guy, Okay, what.

1554
01:47:56,800 --> 01:48:12,159
Speaker 5: Was the falsett of shriek? That enough for a filter version.

1555
01:48:12,479 --> 01:48:14,600
Speaker 11: But let me point out those people who capture that

1556
01:48:14,680 --> 01:48:18,880
are making the classic mistake when you hear votializations. Please

1557
01:48:18,960 --> 01:48:31,640
shut up nice, So I filtered out the humans. This

1558
01:48:31,720 --> 01:48:34,439
seems to be a little squats from the beginning here.

1559
01:48:35,960 --> 01:49:45,039
Speaker 13: Making up of wook.

1560
01:49:15,239 --> 01:49:15,439
Speaker 10: And so.

1561
01:49:16,000 --> 01:49:18,199
Speaker 11: Now this is a good example of how weird their

1562
01:49:18,279 --> 01:49:22,600
vocalizations could be. Because just think of yourself when you

1563
01:49:22,680 --> 01:49:28,520
ever string together that many different weird sounds, you know,

1564
01:49:28,560 --> 01:49:29,840
it just makes no sense.

1565
01:49:31,079 --> 01:49:36,439
Speaker 8: Really high, Yeah, it seems they can get extremely high

1566
01:49:36,439 --> 01:49:41,680
and extremely low very quickly. What would they need to

1567
01:49:41,680 --> 01:49:43,560
be able to do that? Why can't humans?

1568
01:49:46,399 --> 01:49:48,199
Speaker 5: Why can't humans or why yeah.

1569
01:49:48,159 --> 01:49:51,439
Speaker 8: Yeah, why can't humans shift their vocal arrange that.

1570
01:49:53,319 --> 01:49:58,000
Speaker 11: Our individual ability? So like Freddie Mercury, he could do it,

1571
01:49:59,039 --> 01:50:03,159
But do any many of us sing like Freddie Mercury.

1572
01:50:04,039 --> 01:50:05,399
Speaker 5: It's all talent, you know.

1573
01:50:06,359 --> 01:50:11,439
Speaker 11: Now, it seems that Sasquatch have much greater lingual dexterity,

1574
01:50:12,039 --> 01:50:15,039
and they can cover a lot of range, and then

1575
01:50:15,039 --> 01:50:17,880
a lot of the recordings that I've studied, there are

1576
01:50:18,000 --> 01:50:23,279
instances where they appear to be showing off their lingual dexterity.

1577
01:50:24,720 --> 01:50:28,319
For instance, there are clips that I've captured or studied

1578
01:50:28,399 --> 01:50:32,960
others have studied where they're very clearly executing the most

1579
01:50:33,199 --> 01:50:39,720
beautifully performed whoops that it's almost like they're singing out

1580
01:50:39,800 --> 01:50:44,079
these whoops. And you know, they could just make a whoop,

1581
01:50:44,319 --> 01:50:47,520
there's no need to be dramatic about it. But in

1582
01:50:47,560 --> 01:50:52,279
these cases, they're making these beautifully executed whoops, almost like

1583
01:50:52,319 --> 01:50:55,520
they're singing them out. And I believe they're doing that

1584
01:50:55,640 --> 01:50:59,039
just as a demonstration of their vocal prowess.

1585
01:50:59,439 --> 01:51:01,760
Speaker 9: I think it's all the time they can hold that note.

1586
01:51:02,039 --> 01:51:04,439
I mean, it's sometimes it's incredible.

1587
01:51:05,600 --> 01:51:10,520
Speaker 11: Yeah, yeah, And so the falsetto who knows why they

1588
01:51:10,560 --> 01:51:13,239
do it? But it's it's just part of the lexicon.

1589
01:51:13,399 --> 01:51:16,760
It's definitely there. We hear it fairly often.

1590
01:51:18,880 --> 01:51:23,000
Speaker 8: Yeah. When I was up at Snell many many years ago,

1591
01:51:23,039 --> 01:51:27,840
before I was even thinking about Bigfoot, we heard singing

1592
01:51:28,199 --> 01:51:30,960
off on the shore and we listened to it for

1593
01:51:30,960 --> 01:51:35,880
about twenty minutes and it would hit these really high notes,

1594
01:51:36,600 --> 01:51:40,880
almost like it was just singing opera. Yeah, it was

1595
01:51:41,039 --> 01:51:46,600
very female sounding, very beautiful, and it just was amazing

1596
01:51:47,239 --> 01:51:50,399
because we'd hear it so loud and this is this

1597
01:51:50,520 --> 01:51:54,319
is They didn't they hadn't even invented flip phones yet. Okay, guys,

1598
01:51:54,680 --> 01:51:57,479
So no, we didn't record it. We weren't. We were

1599
01:51:57,520 --> 01:51:59,520
there fishing and we.

1600
01:51:59,439 --> 01:52:00,800
Speaker 9: Heard this your age now.

1601
01:52:01,399 --> 01:52:08,520
Speaker 8: Yeah, And my son went on to get his PhD

1602
01:52:08,720 --> 01:52:15,840
in audio and all you know, in biological audio systems

1603
01:52:15,880 --> 01:52:20,039
and all sorts of stuff. But he obviously I think

1604
01:52:20,079 --> 01:52:23,880
that attributed to him taking that up as a career

1605
01:52:24,439 --> 01:52:26,359
was that incident that he witnessed.

1606
01:52:29,359 --> 01:52:33,319
Speaker 10: So, Devin, one of the advantages I found working with

1607
01:52:33,439 --> 01:52:37,279
witnesses over a long period of time is that I

1608
01:52:37,319 --> 01:52:43,319
would get to recognize specific individuals and their vocalizations. Have

1609
01:52:43,800 --> 01:52:45,520
you known that to be true as well?

1610
01:52:46,520 --> 01:52:51,199
Speaker 11: Yeah, most definitely. Sometimes even within a single clip, you'll

1611
01:52:51,199 --> 01:52:55,920
have multiple different voices vocalizing, and so you can tell

1612
01:52:56,640 --> 01:53:00,479
you can begin to differentiate them both based upon and

1613
01:53:00,560 --> 01:53:05,399
tambore in the way they execute. So, yeah, that's that's

1614
01:53:05,520 --> 01:53:06,439
very much possible.

1615
01:53:06,880 --> 01:53:13,039
Speaker 10: Yeah, I would recognize them just from the spectrographic visualization.

1616
01:53:13,479 --> 01:53:16,800
Oh that's Fred will say. I can tell that, and

1617
01:53:16,840 --> 01:53:21,119
they would have their characteristic ending to their vocal Yeah,

1618
01:53:21,600 --> 01:53:27,199
that it would confirm. But I think that if they're communicating,

1619
01:53:27,239 --> 01:53:31,439
they're communicating who they are to somebody that is important

1620
01:53:31,439 --> 01:53:33,239
to them.

1621
01:53:33,479 --> 01:53:36,279
Speaker 11: Right, and they may not need to say who they

1622
01:53:36,319 --> 01:53:40,279
are explicitly other than just vocalizing. I mean, when you

1623
01:53:40,319 --> 01:53:43,359
speak with your family somebody's in a different room, you

1624
01:53:43,439 --> 01:53:46,359
know who's speaking to you because you recognize their voice.

1625
01:53:46,600 --> 01:53:47,840
Speaker 5: Probably the same way.

1626
01:53:48,119 --> 01:53:55,079
Speaker 8: Sure, So I got a note from Roger Williams. He

1627
01:53:55,199 --> 01:53:59,279
said that Heather and Peyton had heard sounds like you know,

1628
01:53:59,359 --> 01:54:03,720
the the buzzing sounds like that one night and they

1629
01:54:03,760 --> 01:54:08,159
called Cumbo or Roger called Kumbo on it, and he

1630
01:54:08,319 --> 01:54:10,640
said it was a young male trying to hit us

1631
01:54:11,039 --> 01:54:14,239
with infsound, but it wasn't mature enough yet to do it.

1632
01:54:15,479 --> 01:54:18,880
He had Kumbo worked at NASA and they played with

1633
01:54:18,920 --> 01:54:25,840
it years ago infrasound ultrasound and measured recordings from the field.

1634
01:54:27,279 --> 01:54:29,880
Roger goes on to say, I don't know that's what

1635
01:54:30,159 --> 01:54:33,840
he advised. It's you know, obviously it's more to it,

1636
01:54:33,960 --> 01:54:39,079
but that's the short version. An immature.

1637
01:54:40,560 --> 01:54:45,439
Speaker 9: Male immature. What they're intellect is gonna do anything they

1638
01:54:45,439 --> 01:54:47,920
don't know what to do. Yeah, I just think they're

1639
01:54:48,000 --> 01:54:50,880
way too smart. If they weren't as smart as they are,

1640
01:54:51,079 --> 01:54:52,600
we would have found them a long time ago.

1641
01:54:53,279 --> 01:54:53,479
Speaker 8: Yeah.

1642
01:54:54,920 --> 01:54:58,000
Speaker 9: Yeah, I think that they would do something to bring

1643
01:54:58,079 --> 01:55:02,720
attention to them is ridiculous. I just I'm never gonna believe.

1644
01:55:03,039 --> 01:55:04,920
Speaker 8: So why do you think that creature was coming to

1645
01:55:04,920 --> 01:55:06,960
your window? I mean, did it?

1646
01:55:07,119 --> 01:55:07,319
Speaker 7: Was it?

1647
01:55:07,319 --> 01:55:08,680
Speaker 8: Do you think you could have been a female?

1648
01:55:09,600 --> 01:55:09,760
Speaker 7: Well?

1649
01:55:09,880 --> 01:55:14,479
Speaker 9: I had never thought that till recently, but yes I do,

1650
01:55:15,000 --> 01:55:18,800
And I just thought it was we we put a

1651
01:55:18,800 --> 01:55:21,279
house in a in a in a place that I

1652
01:55:21,359 --> 01:55:25,479
had never had a house before. They were mad and uh,

1653
01:55:25,640 --> 01:55:29,479
but yet she still had compassion. And so I think

1654
01:55:29,479 --> 01:55:30,239
they're intelligent.

1655
01:55:31,640 --> 01:55:34,720
Speaker 10: Mike, I just thought of this. Weren't you also raising

1656
01:55:35,439 --> 01:55:37,000
Saint Bernard's didn't you have?

1657
01:55:38,279 --> 01:55:38,439
Speaker 7: So?

1658
01:55:39,039 --> 01:55:42,000
Speaker 10: Could there have been a I don't like you raising

1659
01:55:42,079 --> 01:55:43,199
dogs issue.

1660
01:55:43,680 --> 01:55:45,880
Speaker 9: No, I don't think still because I never bothered dogs,

1661
01:55:45,880 --> 01:55:50,600
never heard any of our dogs. It just made noises

1662
01:55:50,640 --> 01:55:54,720
and yelled and scream, broke limbs, it left footprints, We

1663
01:55:54,760 --> 01:55:58,680
took casts. And then that wasn't just us that all

1664
01:55:58,680 --> 01:56:01,359
the neighbors too. Of the just moved in. It was

1665
01:56:01,399 --> 01:56:04,119
like five or six houses that mess with almost every

1666
01:56:04,239 --> 01:56:07,439
night until we all started went out and my dad

1667
01:56:07,760 --> 01:56:09,680
and all the guys started going out and hunting it

1668
01:56:10,039 --> 01:56:13,039
until they took a shout at it, and finally I left.

1669
01:56:14,039 --> 01:56:17,600
But it took a few months. Yeah, so it was.

1670
01:56:17,920 --> 01:56:22,520
It was a prolonged thing. And uh but but now

1671
01:56:22,520 --> 01:56:25,119
that I think about, when I'm older, I'm pretty sure

1672
01:56:25,159 --> 01:56:27,359
it was a female, and I'm pretty sure it was

1673
01:56:27,359 --> 01:56:30,520
just mad, and uh, we just moved into somewhere we

1674
01:56:30,560 --> 01:56:34,199
probably shouldn't have been, and it just but that's kind

1675
01:56:34,199 --> 01:56:36,439
of shows you how smart they really are, and I uh,

1676
01:56:37,199 --> 01:56:39,399
I think we just don't give them enough credit.

1677
01:56:43,399 --> 01:56:48,199
Speaker 8: People About five people on Devon have asked, have you

1678
01:56:48,279 --> 01:56:51,520
ever analyzed the Minnesota Saint Louis County?

1679
01:56:52,000 --> 01:56:55,640
Speaker 5: Yes? Yeah, I kept seeing that question come up.

1680
01:56:55,960 --> 01:56:57,119
Speaker 8: Yeah, what are your thoughts?

1681
01:56:57,159 --> 01:57:00,560
Speaker 11: On that yeah, and so I was the fortunate one

1682
01:57:00,600 --> 01:57:05,960
who got to study those first. It was Mike Palichek

1683
01:57:06,640 --> 01:57:11,319
who captured those, and then his group that he was

1684
01:57:11,319 --> 01:57:16,159
squatching with contacted me and sent me the audio. The

1685
01:57:16,199 --> 01:57:18,640
original clip, I want to say, is about twenty one

1686
01:57:18,720 --> 01:57:22,880
minutes long, and I spent a lot of time studying

1687
01:57:22,920 --> 01:57:26,239
it because at first glance, you know, an untrained year

1688
01:57:26,640 --> 01:57:30,880
it sounds like wolves holloween. But when you really dig

1689
01:57:30,920 --> 01:57:33,319
into it and pay close attention, and then with all

1690
01:57:33,359 --> 01:57:36,000
the benefit of you know, the years of research I've

1691
01:57:36,039 --> 01:57:40,279
been putting into this subject, I started to hear the

1692
01:57:40,319 --> 01:57:42,920
signals that told me to know these are not wolves.

1693
01:57:43,439 --> 01:57:47,479
There is a wolf in there, and the coyote in

1694
01:57:47,520 --> 01:57:51,960
there at one point, but the main howls are what

1695
01:57:52,079 --> 01:57:58,399
I believe to be for sasquatch traveling together in a

1696
01:57:58,439 --> 01:58:02,800
loose group. And I on my YouTube channel, there's a

1697
01:58:02,920 --> 01:58:06,560
lengthy video about this, but basically what you hear in

1698
01:58:06,640 --> 01:58:11,239
there is the sasquatch enter from stage left and they

1699
01:58:11,279 --> 01:58:14,920
pass in front of the mics of the recorder and

1700
01:58:14,960 --> 01:58:18,840
then exit stage right. It occurs over twenty one minutes,

1701
01:58:19,439 --> 01:58:21,720
and I was able to clip out a lot of

1702
01:58:21,720 --> 01:58:24,600
the dead space and get it down to about nine minutes.

1703
01:58:25,399 --> 01:58:30,720
And the reason why I believe we're hearing what sound

1704
01:58:30,880 --> 01:58:34,199
like wolves in there is that they're actively mimicking the

1705
01:58:34,239 --> 01:58:38,479
local font. There are wolves in that county in Minnesota,

1706
01:58:39,159 --> 01:58:43,720
and this isn't the first instance that we have recorded

1707
01:58:43,760 --> 01:58:45,479
them mimicking some other animal.

1708
01:58:47,520 --> 01:58:48,760
Speaker 5: And so they seem to be.

1709
01:58:48,760 --> 01:58:52,399
Speaker 11: Moving through the area mimicking wolf howls, but at the

1710
01:58:52,439 --> 01:58:55,479
same time they're adding their own special twist.

1711
01:58:55,239 --> 01:58:58,479
Speaker 5: To those howls. And if you listen to them, many

1712
01:58:58,520 --> 01:59:02,279
of the howls they'll execute with what's called oo phoning.

1713
01:59:02,359 --> 01:59:06,039
They'll be like and then it ends in off phoning

1714
01:59:06,439 --> 01:59:12,159
goes ah. It's that ah is the tell wolves don't do.

1715
01:59:12,239 --> 01:59:17,960
The caans don't really do. So that ooh transition is

1716
01:59:17,960 --> 01:59:20,520
one of the characteristics we like to see, and they

1717
01:59:20,560 --> 01:59:21,600
do that many times.

1718
01:59:22,319 --> 01:59:24,359
Speaker 11: And then there there are several other things in that

1719
01:59:24,399 --> 01:59:27,159
clip that are just like, you know, that's obviously not

1720
01:59:27,279 --> 01:59:30,279
a wolf. And then later in the clip you hear

1721
01:59:30,319 --> 01:59:33,319
a true moan howl, and there are a couple of

1722
01:59:33,359 --> 01:59:37,319
whoops buried in wood knocks, even buried in the clip.

1723
01:59:37,359 --> 01:59:39,159
If you know where to look for them.

1724
01:59:39,399 --> 01:59:43,800
Speaker 8: You could look those up jobs. They're pretty amazing the

1725
01:59:44,399 --> 01:59:49,039
Saint Louis County, Minnesota.

1726
01:59:51,479 --> 01:59:54,439
Speaker 10: So, Devin, do you think that they mimic in this

1727
01:59:54,520 --> 02:00:02,920
specific circumstance to confuse and obscure fu scape human is

1728
02:00:03,039 --> 02:00:06,119
hearing these sounds and going, oh, I know what that

1729
02:00:06,319 --> 02:00:11,039
is and forget it and not thinking sasquatch, you know,

1730
02:00:11,279 --> 02:00:13,920
so it's off our radar? Is it more for fooling

1731
02:00:14,039 --> 02:00:17,319
us because they put something on the end that a

1732
02:00:17,399 --> 02:00:19,520
wolf will go, hey, that ain't one of other guys?

1733
02:00:20,479 --> 02:00:22,960
Speaker 11: Yeah, And I think it's more of the former than

1734
02:00:22,960 --> 02:00:24,680
it is the latter. It's not like they're trying to

1735
02:00:24,680 --> 02:00:29,520
full wolves, you know they but we do know that

1736
02:00:29,560 --> 02:00:32,920
their nature is very cryptic. They're keeping their lives on

1737
02:00:33,000 --> 02:00:36,399
the down low, but they have to vocalize loudly, and

1738
02:00:36,439 --> 02:00:39,680
they know humans are likely going to hear them, So

1739
02:00:39,720 --> 02:00:43,319
why not mimic something that's already out there like a wolf?

1740
02:00:44,920 --> 02:00:48,239
And you know, if we fool human, that's great. But

1741
02:00:48,279 --> 02:00:50,479
at the same time, they have a need to not

1742
02:00:50,720 --> 02:00:55,239
full other fool other sasquats, So that's why they'll add

1743
02:00:55,279 --> 02:00:59,399
that particular flare, that signal to help other sasquats understand that.

1744
02:00:59,399 --> 02:01:00,760
Speaker 5: Now this is this is me.

1745
02:01:01,319 --> 02:01:02,159
Speaker 9: Yeah, I agree with you.

1746
02:01:03,439 --> 02:01:05,039
Speaker 5: Yeah so.

1747
02:01:06,279 --> 02:01:09,279
Speaker 11: And you know, I've I've seen several other examples of

1748
02:01:09,399 --> 02:01:15,640
what we call possible mimicry. Who's the fella in Illinois

1749
02:01:16,239 --> 02:01:20,479
who is also doing stand Courtney, Yeah, stan Stan sent

1750
02:01:20,560 --> 02:01:24,359
me the first clip I'd ever heard of mimicry, where

1751
02:01:24,439 --> 02:01:27,920
he had made a vocalization and then on the ridgetop

1752
02:01:28,000 --> 02:01:31,239
ahead of him, the same vocalization came back at him

1753
02:01:31,319 --> 02:01:34,439
after a few seconds and it sounded just like his voice.

1754
02:01:35,880 --> 02:01:38,640
And then on my own experience, I was mimicked in

1755
02:01:38,720 --> 02:01:44,640
Pennsylvania where I was squatching with some people. We marched

1756
02:01:44,680 --> 02:01:47,840
deep into the forest about a quarter mile really quickly,

1757
02:01:48,279 --> 02:01:50,119
and got into an area where they're an old people,

1758
02:01:50,640 --> 02:01:54,600
and I made a whoop and I have a very unique, ugly,

1759
02:01:54,720 --> 02:02:01,239
terrible sounding and we listened for thirty seconds, and after

1760
02:02:01,319 --> 02:02:04,319
a half minute passed by, my whoop came back at

1761
02:02:04,399 --> 02:02:08,119
us from the forest and you know, no self respecting

1762
02:02:08,199 --> 02:02:11,319
sasquatch whatever whoop the way I did. But this came

1763
02:02:11,359 --> 02:02:14,399
back from the forest sounded just like me. I got

1764
02:02:14,439 --> 02:02:17,159
it recorded, and then a few seconds after it, a

1765
02:02:17,279 --> 02:02:21,000
second whoop came, but it was a normal sasquatch from

1766
02:02:21,039 --> 02:02:22,000
even farther away.

1767
02:02:23,439 --> 02:02:28,640
Speaker 10: Yeah, yeah, yeah, I've I've recorded memic cry. I think Devin,

1768
02:02:28,680 --> 02:02:37,039
you're you're aware of I can't hear him. Yeah, come here, kaya, Yes, yeah,

1769
02:02:37,159 --> 02:02:39,520
that was that was the one that sold me. We

1770
02:02:39,560 --> 02:02:42,439
all have to have our own personal experience to get

1771
02:02:42,680 --> 02:02:44,920
absolutely sold on it, but that that's the one I

1772
02:02:45,039 --> 02:02:46,920
tipped me before.

1773
02:02:47,439 --> 02:02:49,039
Speaker 9: Yeah, all right.

1774
02:02:48,960 --> 02:02:50,960
Speaker 7: I think I found the clip you're talking about, Doug.

1775
02:02:52,000 --> 02:02:53,640
Speaker 8: How long if you can just get to.

1776
02:02:53,840 --> 02:02:55,359
Speaker 7: Yeah, I got to the good part here. It's a

1777
02:02:55,399 --> 02:02:57,119
pretty long clip, but I think I got to the right.

1778
02:02:57,039 --> 02:03:28,000
Speaker 11: Party about the middle. Yeah there again, mm hmm. Okay,

1779
02:03:35,640 --> 02:03:38,680
so that's two voices in you. Yeah, here comes a

1780
02:03:38,760 --> 02:03:40,680
coyote both.

1781
02:03:43,239 --> 02:03:43,880
Speaker 13: Yeah, I believe that.

1782
02:03:44,760 --> 02:03:44,960
Speaker 10: Yeah.

1783
02:03:45,239 --> 02:03:48,680
Speaker 8: Yeah. Once again, you don't know it's a coyote until

1784
02:03:48,680 --> 02:03:49,640
you you're a coyote.

1785
02:03:54,520 --> 02:03:56,239
Speaker 9: I don't want to be next to him to that.

1786
02:03:58,680 --> 02:04:00,399
Speaker 10: Here's a good uh yeah.

1787
02:04:06,359 --> 02:04:09,880
Speaker 5: See that sounds a little canine. So that indicates they're mimicking.

1788
02:04:11,239 --> 02:04:13,399
Speaker 11: I don't know whose video that was, but you know,

1789
02:04:13,439 --> 02:04:15,560
they have some different interpretations.

1790
02:04:16,640 --> 02:04:19,760
Speaker 8: Do you think there's any kind of symbiotic relationship with

1791
02:04:20,520 --> 02:04:24,159
them and coyotes and them and wolves or even ravens.

1792
02:04:24,800 --> 02:04:27,720
Speaker 5: I wouldn't be in that clip.

1793
02:04:27,760 --> 02:04:31,119
Speaker 11: There's a point where as the sasquats have moved by,

1794
02:04:32,079 --> 02:04:37,359
you hear a clear bipedal canaan following them, you know,

1795
02:04:37,560 --> 02:04:43,600
walking along, I'm sorry, not by people. Quadruped, Yeah, quadruple

1796
02:04:43,840 --> 02:04:50,760
by petle cana horrified. Yeah, a quadruped canine whining like

1797
02:04:50,800 --> 02:04:55,239
a dog normally does, following these sasquats. You can hear

1798
02:04:55,239 --> 02:04:56,319
it in that recording.

1799
02:04:56,000 --> 02:04:56,680
Speaker 5: At one point.

1800
02:04:57,880 --> 02:05:02,840
Speaker 11: So I maybe you're just following the sasquatch and picking

1801
02:05:02,880 --> 02:05:05,319
up scraps, but there's some kind of relationship.

1802
02:05:05,520 --> 02:05:09,239
Speaker 8: I have some very anecdotal evidence of them working with wolves.

1803
02:05:09,279 --> 02:05:12,760
I was up on the Canadian border hunting grouse with

1804
02:05:12,920 --> 02:05:16,199
a buddy in the middle of the night. I hear

1805
02:05:16,279 --> 02:05:19,039
a pack of wolves just charging right through our camp.

1806
02:05:19,079 --> 02:05:22,640
You can just hear them panting and weeping, and you know,

1807
02:05:22,680 --> 02:05:28,840
one after another and behind. I mean to the point

1808
02:05:28,880 --> 02:05:31,199
it shook my cot that I was in. You could

1809
02:05:31,279 --> 02:05:36,199
hear these bipedal running, you know, boom boom, boom, boom boom.

1810
02:05:36,520 --> 02:05:39,039
You can just hear it running right after the wolves.

1811
02:05:39,640 --> 02:05:40,079
Speaker 5: Wow.

1812
02:05:40,680 --> 02:05:43,520
Speaker 8: And that was really interesting.

1813
02:05:43,680 --> 02:05:46,960
Speaker 5: So easing the milk or something.

1814
02:05:46,800 --> 02:05:49,920
Speaker 8: Well, it's yeah, definitely the big l was chasing the wolves,

1815
02:05:50,279 --> 02:05:53,720
but I think that they were maybe all gonna share

1816
02:05:53,880 --> 02:05:55,359
a kill. Who knows.

1817
02:05:56,800 --> 02:05:58,079
Speaker 9: You never know what's out there.

1818
02:05:58,520 --> 02:06:04,279
Speaker 8: No, we don't know, but they were definitely they were.

1819
02:06:04,600 --> 02:06:09,199
There was something definitely bipedal chasing those wolves, and I

1820
02:06:09,239 --> 02:06:10,439
don't think it was a dude.

1821
02:06:11,000 --> 02:06:12,000
Speaker 7: I just don't.

1822
02:06:14,319 --> 02:06:17,600
Speaker 8: Such. We were in a really really remote area up

1823
02:06:17,640 --> 02:06:23,960
in Canada, just ten camping, and we had seen wolves too.

1824
02:06:25,640 --> 02:06:29,880
The following day we saw pack of wolves, really big wolves.

1825
02:06:31,079 --> 02:06:35,039
Speaker 5: So and real quickly to Gai. No, I did not

1826
02:06:35,119 --> 02:06:35,880
say dog man.

1827
02:06:37,000 --> 02:06:40,600
Speaker 9: I did. Yeah, I don't care it. I will too

1828
02:06:40,680 --> 02:06:44,560
because I've seen bigfoot, so I'm not going to say

1829
02:06:44,600 --> 02:06:46,920
nothing else doesn't exist. I'm sorry about your luck.

1830
02:06:47,239 --> 02:06:50,479
Speaker 5: Yeah, but I'm a showny kind of guy, and I just.

1831
02:06:52,279 --> 02:06:55,079
Speaker 11: The thought of them being real just freaks me out

1832
02:06:55,119 --> 02:06:57,680
way too much.

1833
02:06:58,439 --> 02:07:00,680
Speaker 8: I love that. Devin just a dog man.

1834
02:07:02,880 --> 02:07:04,720
Speaker 10: You heard it heard it here first.

1835
02:07:04,920 --> 02:07:09,920
Speaker 8: Yeah, David, Mike said dog man, Jeff said dog man,

1836
02:07:09,960 --> 02:07:10,840
Doug said dog man.

1837
02:07:12,560 --> 02:07:14,079
Speaker 9: I just got to go into the bots.

1838
02:07:15,079 --> 02:07:15,359
Speaker 7: God.

1839
02:07:15,600 --> 02:07:17,159
Speaker 8: Yeah, that's one of the thing. I don't if they're real.

1840
02:07:17,239 --> 02:07:18,399
I don't want to see a dog man.

1841
02:07:20,239 --> 02:07:24,039
Speaker 9: That's why Stave in Washington don't want to see him.

1842
02:07:24,119 --> 02:07:24,359
Speaker 7: Yeah.

1843
02:07:24,560 --> 02:07:29,680
Speaker 8: Have you ever seen any glimpse of any creatures, Devin?

1844
02:07:31,479 --> 02:07:35,000
Speaker 11: In terms of sad squatch, I've seen idlow on three

1845
02:07:35,079 --> 02:07:38,359
or four different occasions, okay, And and one of those

1846
02:07:38,520 --> 02:07:41,760
was correlated to a thermal hit at the same time,

1847
02:07:43,680 --> 02:07:47,000
and that was in a Tennessee expedition that was very,

1848
02:07:47,279 --> 02:07:47,960
very squatchy.

1849
02:07:48,000 --> 02:07:49,159
Speaker 5: We have a lot of evidence.

1850
02:07:50,159 --> 02:07:52,680
Speaker 8: Okay, Devin just said squatchy. Post that up.

1851
02:07:52,760 --> 02:08:02,479
Speaker 9: Jeff, you're part of a video game. Devin.

1852
02:08:02,520 --> 02:08:07,760
Speaker 8: I'm sorry you didn't. You weren't informed. Okay, So I glow.

1853
02:08:07,840 --> 02:08:14,199
You said glow, Devin said, I glow. But in all seriousness,

1854
02:08:14,239 --> 02:08:16,760
do you think there was a light source that was

1855
02:08:16,880 --> 02:08:20,079
reflecting or do you think it was self eliminating?

1856
02:08:20,159 --> 02:08:25,000
Speaker 11: Maybe I have to believe self illuminating because the situations

1857
02:08:25,000 --> 02:08:27,640
where I saw it, there was just there was no

1858
02:08:27,760 --> 02:08:32,920
light to reflect. We were intentionally blacked out. Yeah, and

1859
02:08:33,800 --> 02:08:37,680
the light that we were seeing was brighter than I

1860
02:08:37,680 --> 02:08:40,560
could imagine. The only thing available might have been starlight,

1861
02:08:41,399 --> 02:08:45,159
and I just don't know that something could have gathered

1862
02:08:45,279 --> 02:08:49,479
enough starlight to reflect that brightly in Thoms.

1863
02:08:49,680 --> 02:08:52,800
Speaker 8: Have you read the report the scientific report. I don't know,

1864
02:08:53,039 --> 02:08:57,520
it wasn't released that long ago. I read one many

1865
02:08:57,600 --> 02:09:02,560
years ago, about two thousand or nineteen ninety nine about

1866
02:09:02,720 --> 02:09:06,239
these protein cells that they had found in human eyes,

1867
02:09:06,359 --> 02:09:11,000
only a few cells that actually produced light. And then

1868
02:09:11,039 --> 02:09:14,600
there was a recent scientific report where they took a

1869
02:09:15,159 --> 02:09:17,720
they had a woman's subject, and they put her in

1870
02:09:17,840 --> 02:09:22,560
extreme you know, like scientifically perfectly dark room and use

1871
02:09:22,600 --> 02:09:26,159
special equipment, and her eyes were glowing.

1872
02:09:27,079 --> 02:09:27,399
Speaker 7: Wow.

1873
02:09:27,600 --> 02:09:28,760
Speaker 5: No, I had not read ability.

1874
02:09:28,840 --> 02:09:33,239
Speaker 8: Oh okay, well, something to look up, because obviously it's

1875
02:09:33,279 --> 02:09:36,560
so faint you would never see it with your naked eye.

1876
02:09:36,920 --> 02:09:41,319
But the fact that humans have that ability is kind

1877
02:09:41,319 --> 02:09:42,159
of interesting.

1878
02:09:42,640 --> 02:09:42,760
Speaker 7: Yea.

1879
02:09:44,920 --> 02:09:51,119
Speaker 10: The eye glow experience that I had, whatever the subject was,

1880
02:09:51,239 --> 02:09:56,720
had the ability to like a dimmer, brighten and dim

1881
02:09:56,920 --> 02:10:00,840
its eyes. So it was dim to begin with, and

1882
02:10:00,880 --> 02:10:04,479
then it got very bright and then it dimmed back

1883
02:10:04,560 --> 02:10:05,159
down again.

1884
02:10:06,119 --> 02:10:06,920
Speaker 9: So I don't know.

1885
02:10:08,239 --> 02:10:13,720
Speaker 10: Yeah, So if it was a light reflection scenario, the

1886
02:10:13,840 --> 02:10:16,840
light it was reflecting would be constant. It wouldn't go

1887
02:10:16,960 --> 02:10:17,720
up and down.

1888
02:10:17,680 --> 02:10:19,119
Speaker 8: Unless it was turning its head.

1889
02:10:19,159 --> 02:10:28,079
Speaker 10: Right, your eyes gonna go down, Yeah, I suppose that

1890
02:10:29,520 --> 02:10:30,000
could be.

1891
02:10:30,239 --> 02:10:34,119
Speaker 8: Yeah, there are just too many reports to ignore about

1892
02:10:34,159 --> 02:10:37,239
eye glow, including other colors besides white.

1893
02:10:38,079 --> 02:10:43,239
Speaker 10: I will say this though, the it was the eyes

1894
02:10:43,239 --> 02:10:48,359
are totally round the whole time, so if you were

1895
02:10:48,560 --> 02:10:53,760
if you were squinting, you that would have changed.

1896
02:10:54,840 --> 02:11:00,279
Speaker 7: Yes, yep, yep. I've got a couple of clips here.

1897
02:11:00,720 --> 02:11:04,279
Tristan sent me the one, uh, this is the chorus one,

1898
02:11:04,279 --> 02:11:07,640
and then Michael Waldy sent you one two. So let's uh,

1899
02:11:07,840 --> 02:11:11,039
this is uh, this is Tristan's chorus clip.

1900
02:12:44,119 --> 02:12:46,079
Speaker 1: To get here with as you forget.

1901
02:13:01,119 --> 02:13:04,239
Speaker 7: Another clip here from Michael waald that Texas.

1902
02:13:04,359 --> 02:13:06,680
Speaker 10: Oh you play that, Jeff. I just want to throw

1903
02:13:06,760 --> 02:13:11,800
in a comment. This place that where Tristan recorded this

1904
02:13:11,960 --> 02:13:17,319
was Bumping Lake, correct in two thousand and seven. I

1905
02:13:17,520 --> 02:13:19,600
was at a No. Two thousand and six. I was

1906
02:13:19,640 --> 02:13:25,119
at an expedition in that location BFRO expedition when one

1907
02:13:25,159 --> 02:13:31,000
of these choruses rang out. So that was two thousand

1908
02:13:31,000 --> 02:13:36,720
and six, two thousand and eight, two years later, I

1909
02:13:36,840 --> 02:13:40,600
recorded it myself. I do have a recording that's very

1910
02:13:40,600 --> 02:13:47,600
similar to this. So whether it's a bigfoot or coyotes

1911
02:13:47,680 --> 02:13:51,680
that they seem to vocalize like that periodically. At this

1912
02:13:51,760 --> 02:13:53,399
particular I.

1913
02:13:53,279 --> 02:13:58,199
Speaker 8: Hear so many coyotes they just there's a lot of

1914
02:13:58,279 --> 02:14:03,840
yippin you know, short little it's never sustained audio. I've

1915
02:14:03,880 --> 02:14:07,520
never heard that in person sustained, but lots of yippin'.

1916
02:14:07,960 --> 02:14:11,760
And you can get twenty coyotes all yipping. I guess

1917
02:14:11,800 --> 02:14:14,920
it could maybe sound sustained. I don't know what's your thoughts.

1918
02:14:16,119 --> 02:14:16,760
Speaker 5: The problem.

1919
02:14:17,399 --> 02:14:19,720
Speaker 11: What gives me a problem with that particular clip is

1920
02:14:20,359 --> 02:14:23,760
not the vocals themselves, but it's such a reflective environment

1921
02:14:24,479 --> 02:14:26,239
that all of the sound is just.

1922
02:14:26,359 --> 02:14:29,560
Speaker 5: Smeared across there. It's really tough to make heads or tails.

1923
02:14:30,359 --> 02:14:30,560
Speaker 9: Now.

1924
02:14:30,720 --> 02:14:36,039
Speaker 11: The pitches are higher than what I often hear with

1925
02:14:36,159 --> 02:14:41,079
sasquatch vocalizations, so that kind of lends towards coyotes. But

1926
02:14:41,159 --> 02:14:45,239
there are some really drawn out, long vocalization in there

1927
02:14:45,279 --> 02:14:49,520
which aren't typical of coyotes. So I heard maybe it's

1928
02:14:49,520 --> 02:14:51,840
a little bit of both. You know, it sounded more

1929
02:14:51,880 --> 02:14:54,399
squatchy in the beginning, and then it sounded more coyote

1930
02:14:54,439 --> 02:14:57,359
towards the end, which is a normal pattern if you

1931
02:14:57,399 --> 02:15:01,199
have a sasquatch crawl. It's not a uncommon to see

1932
02:15:01,399 --> 02:15:03,159
coyotes kickoff afterwards.

1933
02:15:03,199 --> 02:15:07,000
Speaker 8: Oh yeah, absolutely, And including I've heard coyotes kickoff from

1934
02:15:07,039 --> 02:15:13,399
wood knocking. Interesting, I've heard that right maybe ten times

1935
02:15:13,399 --> 02:15:16,000
now here a wood knock and then the coyotes all

1936
02:15:16,039 --> 02:15:22,920
go nuts. My workshop is right in an area where

1937
02:15:22,920 --> 02:15:26,000
there's a whole bunch of sightings, and every once in

1938
02:15:26,039 --> 02:15:29,119
a while it didn't happen, you know, every week, but

1939
02:15:29,640 --> 02:15:31,720
I'll walk out of there and I'll here a wood

1940
02:15:31,760 --> 02:15:34,720
knock and then the coyotes all go crazy.

1941
02:15:36,439 --> 02:15:38,840
Speaker 11: So I was just going to add, as far as

1942
02:15:38,840 --> 02:15:41,279
courses go here on the East Coast, I don't know

1943
02:15:41,319 --> 02:15:44,640
that we had many examples of them. I've recorded just

1944
02:15:44,760 --> 02:15:50,800
one myself, and that was north of Charlottesville, Virginia, near

1945
02:15:50,880 --> 02:15:56,039
the Shenandoah National Park, and and it's very weird sounding.

1946
02:15:56,720 --> 02:15:59,159
You listen to it and it's it's like, ah, that's

1947
02:15:59,199 --> 02:16:02,319
not coyotes. All of those voices are just really weird

1948
02:16:02,359 --> 02:16:05,359
and freaky making strange sounds.

1949
02:16:05,560 --> 02:16:08,199
Speaker 8: Yeah, what do you think about the Is there anything

1950
02:16:08,239 --> 02:16:12,720
that we can determine from the whistle? I think Loretta

1951
02:16:12,760 --> 02:16:16,600
had asked about the whistling. Is there any differences in

1952
02:16:16,640 --> 02:16:20,279
their whistles or whistles that have been recorded to human Damn.

1953
02:16:21,239 --> 02:16:24,119
Speaker 11: I think there's a lot of mistaken identity because a

1954
02:16:24,159 --> 02:16:27,560
lot of people will hear whistles at night, and and

1955
02:16:27,680 --> 02:16:30,319
there there are actually plenty of songbirds that will whistle

1956
02:16:30,359 --> 02:16:30,760
in the night.

1957
02:16:32,120 --> 02:16:33,959
Speaker 5: But then there are those whistles that.

1958
02:16:33,959 --> 02:16:37,559
Speaker 11: Are just so unique and loud and different that it's

1959
02:16:37,719 --> 02:16:39,600
just okay, this is if it's a bird. It's not

1960
02:16:39,639 --> 02:16:43,520
a regular bird. I doubt that it's a bird. But

1961
02:16:43,639 --> 02:16:46,360
I have not been able to collect enough of those

1962
02:16:46,440 --> 02:16:48,840
to really make a call one way or the other.

1963
02:16:50,079 --> 02:16:52,920
I think they're more common out on the West Coast

1964
02:16:53,559 --> 02:16:54,959
than they are on the East coast.

1965
02:16:55,920 --> 02:16:57,120
Speaker 5: But we agree.

1966
02:16:57,799 --> 02:17:01,440
Speaker 9: We will hear noises at night that shouldn't be good night.

1967
02:17:02,280 --> 02:17:02,719
Speaker 7: M hmm.

1968
02:17:03,040 --> 02:17:07,399
Speaker 9: Sometimes but not all, not a lot, but yeah, but yeah,

1969
02:17:07,680 --> 02:17:11,120
it's kind of strange, but you kind of blow.

1970
02:17:10,959 --> 02:17:12,760
Speaker 5: It off, right.

1971
02:17:13,920 --> 02:17:16,239
Speaker 8: Do you live in the and you know, on the

1972
02:17:16,319 --> 02:17:17,159
edge of the forest.

1973
02:17:17,639 --> 02:17:21,479
Speaker 9: Oh yeah I do. I always have.

1974
02:17:23,639 --> 02:17:26,600
Speaker 7: Lucky kid. I want to live out in the woods

1975
02:17:26,639 --> 02:17:27,040
so bad.

1976
02:17:27,360 --> 02:17:31,079
Speaker 8: Yeah. You can put a credit card between my house

1977
02:17:31,120 --> 02:17:31,719
and the neighbor.

1978
02:17:32,200 --> 02:17:33,399
Speaker 7: Yeah me too.

1979
02:17:34,280 --> 02:17:35,920
Speaker 8: I mean you barely put a credit card.

1980
02:17:36,399 --> 02:17:37,680
Speaker 9: I would shoot myself.

1981
02:17:38,440 --> 02:17:39,719
Speaker 7: Yeah, it's not fun.

1982
02:17:39,719 --> 02:17:43,520
Speaker 8: You open the car door, hear like, oh god, I can.

1983
02:17:44,559 --> 02:17:47,120
Speaker 9: Walk back door and I have a creaked ten feet

1984
02:17:47,159 --> 02:17:47,440
from it.

1985
02:17:47,799 --> 02:17:49,520
Speaker 10: Yeah, now you're bragging.

1986
02:17:52,200 --> 02:17:55,920
Speaker 9: Yeah, No, I grew up on a farm. I'm never

1987
02:17:55,959 --> 02:17:57,000
gonna live in the city.

1988
02:17:57,319 --> 02:18:00,280
Speaker 7: I grew up rural and I really miss it. As

1989
02:18:00,319 --> 02:18:01,879
a kid, I couldn't wait to move to the city,

1990
02:18:01,920 --> 02:18:03,159
and now I just want to move back.

1991
02:18:04,719 --> 02:18:05,200
Speaker 5: Never will.

1992
02:18:05,639 --> 02:18:07,680
Speaker 7: I got one more clipper. This is from This is

1993
02:18:07,680 --> 02:18:10,600
from Michael Waldy textbook Texics Bakefoot Rangers. They were on

1994
02:18:11,280 --> 02:18:15,239
not too long ago. You we'll give us one a shot.

1995
02:18:43,399 --> 02:18:48,600
Speaker 9: That's crazy, Yeah.

1996
02:18:45,680 --> 02:18:47,399
Speaker 5: That, I'll be honest.

1997
02:18:47,680 --> 02:18:50,639
Speaker 11: That right there at the beginning, there was an oubu

1998
02:18:50,840 --> 02:18:57,079
vocal there which reminded me of in twenty ten, when

1999
02:18:57,079 --> 02:18:59,959
I was just starting my investigation, I discovered an air

2000
02:19:00,200 --> 02:19:04,000
where I was getting really interesting vocals, and one of

2001
02:19:04,040 --> 02:19:09,040
them was this repeating vocal that sounded like ooh oo,

2002
02:19:09,879 --> 02:19:13,319
and it would do it about every thirty seconds, going

2003
02:19:13,360 --> 02:19:15,760
on for you, and I thought, this is some kind

2004
02:19:15,760 --> 02:19:18,680
of an owl, maybe I don't recognize, but I've never

2005
02:19:18,760 --> 02:19:22,719
recorded it since those days. I've recorded it a few

2006
02:19:22,760 --> 02:19:26,399
times in that era, and eventually I did discover that

2007
02:19:26,399 --> 02:19:30,000
there's quite a bit of sasquatch activity in that area,

2008
02:19:30,520 --> 02:19:32,559
so I believe it to be a sasquatch vocal This

2009
02:19:32,600 --> 02:19:35,280
is the first time I've heard anything similar to it

2010
02:19:35,920 --> 02:19:37,440
other than back in twenty ten.

2011
02:19:39,479 --> 02:19:43,440
Speaker 10: And I will say just a reminder, we're all kind

2012
02:19:43,479 --> 02:19:47,319
of operating off of half of what we do, which is, oh,

2013
02:19:47,479 --> 02:19:51,639
we're just listening to these vocalizations. We're not doing the

2014
02:19:51,760 --> 02:19:56,559
hard work, which is looking at them. It's looking at

2015
02:19:56,559 --> 02:20:00,000
them and producing a sound print that we can identify

2016
02:20:00,040 --> 02:20:04,440
fiably follow is what we're looking for. So what we're

2017
02:20:04,479 --> 02:20:06,879
doing tonight is that you're playing some sounds.

2018
02:20:06,879 --> 02:20:07,440
Speaker 9: What do you think?

2019
02:20:07,520 --> 02:20:11,520
Speaker 10: Well, I don't know. Interesting, I haven't put it through

2020
02:20:11,559 --> 02:20:12,559
the paces yet, but.

2021
02:20:12,719 --> 02:20:16,239
Speaker 5: This is what I would call seat to the pants analysis.

2022
02:20:17,760 --> 02:20:21,040
Speaker 8: Could could you play that again? Michael Walde's sure?

2023
02:20:23,959 --> 02:20:24,319
Speaker 5: What's that?

2024
02:20:25,040 --> 02:20:26,959
Speaker 8: So these have never been shared publicly?

2025
02:20:30,760 --> 02:20:31,000
Speaker 5: Yeah?

2026
02:20:31,239 --> 02:21:05,120
Speaker 8: I like that, h very I was just gonna before

2027
02:21:05,159 --> 02:21:07,920
the show ends at some point, I don't want to forget.

2028
02:21:07,959 --> 02:21:14,040
But Dennis harry Ford died today. And if you don't

2029
02:21:14,079 --> 02:21:17,760
know who Dennis says, he was not a bigfoot researcher.

2030
02:21:18,040 --> 02:21:22,079
He was a law enforcement but he was the one

2031
02:21:22,120 --> 02:21:29,760
that probably cast and collected the best footprints of Bigfoot ever.

2032
02:21:29,879 --> 02:21:35,399
He was a certified man tracker. He's appeared in Monster

2033
02:21:35,520 --> 02:21:40,479
Quest once and appeared in Mysterious Encounters once. He was

2034
02:21:40,920 --> 02:21:43,600
really great, man, I'm gonna show Let me hold up

2035
02:21:43,639 --> 02:21:46,319
this one hundred pound cast here.

2036
02:21:47,360 --> 02:21:48,000
Speaker 5: This is the.

2037
02:21:52,799 --> 02:21:54,040
Speaker 8: This things massive.

2038
02:21:54,079 --> 02:21:56,479
Speaker 10: Guys, Jeff, I think we lost Devin.

2039
02:21:58,479 --> 02:22:02,920
Speaker 8: Okay, there we go. This is how detailed this track is,

2040
02:22:03,719 --> 02:22:08,280
right down to the toenhills, and he documented. It's not

2041
02:22:08,440 --> 02:22:13,760
just one casting, it's numerous castings that he took and

2042
02:22:14,799 --> 02:22:17,680
they've been kind of the gold standard for track castings.

2043
02:22:17,719 --> 02:22:20,760
But anyhow, rest in peace, Dennis.

2044
02:22:20,879 --> 02:22:22,879
Speaker 9: M rest in Peace.

2045
02:22:24,319 --> 02:22:28,399
Speaker 10: Yeah, yeah, there's uh Patty with a mid tarsel break.

2046
02:22:28,520 --> 02:22:32,120
That cast is pretty famous, but his is number two

2047
02:22:32,319 --> 02:22:32,799
for sure.

2048
02:22:33,000 --> 02:22:36,479
Speaker 8: Oh yeah, yeah, well it's just a gold standard on detail.

2049
02:22:36,879 --> 02:22:38,600
Speaker 9: Yeah, and the Herford cast.

2050
02:22:40,879 --> 02:22:42,719
Speaker 5: No, ye, don't, don't.

2051
02:22:43,040 --> 02:22:48,799
Speaker 11: Don't forget about David's baby foot cast.

2052
02:22:49,239 --> 02:22:51,399
Speaker 8: That's the opposite of the hairy foot.

2053
02:22:51,479 --> 02:22:53,200
Speaker 9: Don't have the baby cast, damn it.

2054
02:22:53,959 --> 02:22:54,760
Speaker 10: Yeah, I got one.

2055
02:22:55,200 --> 02:22:56,280
Speaker 5: I've got one right here.

2056
02:22:56,879 --> 02:23:04,319
Speaker 10: Yeah, we'll have to get your copied, Mike. It's only

2057
02:23:04,360 --> 02:23:06,000
three and three quarter inches long.

2058
02:23:06,719 --> 02:23:08,479
Speaker 5: Yeah, I'm gonna grab mine.

2059
02:23:09,319 --> 02:23:11,920
Speaker 9: But don't you know they're all supposed to be bigger

2060
02:23:11,920 --> 02:23:12,719
than that.

2061
02:23:13,719 --> 02:23:18,280
Speaker 10: The one you got to start somewhere, I think the wall.

2062
02:23:20,959 --> 02:23:29,040
Speaker 5: Here you go, see, got all of them there there?

2063
02:23:29,040 --> 02:23:30,360
There you go. That's a little foot.

2064
02:23:30,760 --> 02:23:35,959
Speaker 11: Yeah, my camera doesn't do it justice. But there's actually

2065
02:23:36,079 --> 02:23:38,760
dermal ridges in this in these areas.

2066
02:23:40,959 --> 02:23:47,639
Speaker 10: You see that gash there, Devin, this one, yes, uh,

2067
02:23:47,680 --> 02:23:50,120
it stepped on a stick. Look at how much fatty

2068
02:23:50,159 --> 02:23:55,840
tissue is it conformed around that stick Yep, and out

2069
02:23:55,920 --> 02:23:58,639
to the side. I'm gonna start that much.

2070
02:23:58,959 --> 02:23:59,879
Speaker 9: That's a great harbor.

2071
02:24:02,040 --> 02:24:05,520
Speaker 10: No, that was from Bumping Lake east of Mount rain Air.

2072
02:24:06,600 --> 02:24:06,719
Speaker 8: Yea.

2073
02:24:07,479 --> 02:24:08,159
Speaker 7: And you see that.

2074
02:24:10,959 --> 02:24:13,319
Speaker 10: Yeah, the heel is half the foot.

2075
02:24:13,959 --> 02:24:14,760
Speaker 9: That's very cool.

2076
02:24:15,120 --> 02:24:17,799
Speaker 11: And now I compared this to the prints of my

2077
02:24:17,879 --> 02:24:22,159
two children when they were newborns. I mean, within thirty

2078
02:24:22,200 --> 02:24:25,280
minutes of being born they were printed. And the big

2079
02:24:25,280 --> 02:24:31,680
difference is this is shorter than my newborn children's prints.

2080
02:24:32,079 --> 02:24:35,559
And my kids were both just over seven pounds when

2081
02:24:35,559 --> 02:24:41,319
they were born, and their newborn newborn print the heel

2082
02:24:41,520 --> 02:24:44,719
tapers down to almost a point because and heels are

2083
02:24:44,719 --> 02:24:49,319
not developed as infants. This thing has an extremely robust

2084
02:24:49,360 --> 02:24:52,639
heel and it's smaller than my newborn.

2085
02:24:52,200 --> 02:24:57,040
Speaker 5: Babies crazy in length. Wow, So it's an incredible case.

2086
02:24:57,879 --> 02:25:00,559
Speaker 10: Was there just one one track, David, was it just

2087
02:25:00,840 --> 02:25:04,920
Actually the complete story is my wife and I and

2088
02:25:04,959 --> 02:25:09,200
another investigator went to bumping two look for impressions. I've

2089
02:25:09,239 --> 02:25:16,239
been finding them for years. And this other investigator and

2090
02:25:16,319 --> 02:25:21,319
my wife were, oh, maybe an eighth of a mile

2091
02:25:21,360 --> 02:25:24,399
away in a different direction, and I get a call

2092
02:25:24,440 --> 02:25:27,000
on the radio saying that they found some impressions that

2093
02:25:27,040 --> 02:25:29,479
I might want to take a look at him. They said, well,

2094
02:25:29,479 --> 02:25:31,840
they're kind of small, but I think they might be

2095
02:25:31,879 --> 02:25:35,319
of interest. So I went over and I looked at him,

2096
02:25:35,639 --> 02:25:38,559
and they were about five and a half to six

2097
02:25:38,600 --> 02:25:43,319
inches long. There was two sets of them, so there

2098
02:25:43,399 --> 02:25:48,920
was two individuals. But I told my wife, since it

2099
02:25:49,000 --> 02:25:52,319
was the first time she had found impressions, that I

2100
02:25:52,360 --> 02:25:56,200
would cast them for her, fully thinking that they were probably,

2101
02:25:56,600 --> 02:26:01,479
you know, human. We went about our day doing and

2102
02:26:01,559 --> 02:26:05,319
I found larger impressions that I cast, and it came

2103
02:26:05,360 --> 02:26:06,879
to the end of the day and we were leaving

2104
02:26:07,479 --> 02:26:11,120
and just about got to the car when I realized, oh,

2105
02:26:11,159 --> 02:26:15,239
I promised my wife that I would cast those impressions.

2106
02:26:15,360 --> 02:26:19,159
So went back, didn't take any gear, didn't document it

2107
02:26:19,159 --> 02:26:24,520
because I was fully convinced myself that these were human tracks,

2108
02:26:25,280 --> 02:26:29,440
and so I cast them, and then I had a

2109
02:26:29,479 --> 02:26:32,079
little bit of hydroca left over, and I was looking

2110
02:26:32,079 --> 02:26:35,159
for a place to put it, and there next to

2111
02:26:35,200 --> 02:26:40,479
my knee, about four inches away, was this impression littlefoot,

2112
02:26:41,920 --> 02:26:46,200
And so I cast it with that little dollop of

2113
02:26:46,479 --> 02:26:53,280
cast material that I had, And when I I did

2114
02:26:55,239 --> 02:26:58,120
cast the others as well, and when I put the

2115
02:26:58,200 --> 02:27:04,799
story together, those impressions seemed to be holding the little

2116
02:27:04,840 --> 02:27:09,040
one and it got a single foot down because I

2117
02:27:09,440 --> 02:27:14,200
did concentric circles. I look scoured that place for more impressions.

2118
02:27:14,360 --> 02:27:15,280
There was only one.

2119
02:27:15,799 --> 02:27:17,159
Speaker 9: It probably dropped down.

2120
02:27:17,559 --> 02:27:20,520
Speaker 10: Yeah, I think it wriggled free, got its foot down

2121
02:27:20,600 --> 02:27:23,879
because in the impression, if if you look at it closely,

2122
02:27:23,920 --> 02:27:25,239
you can see you got to.

2123
02:27:25,239 --> 02:27:27,479
Speaker 8: Put it back up. People are requesting you put it

2124
02:27:27,559 --> 02:27:28,040
back up.

2125
02:27:28,719 --> 02:27:32,520
Speaker 10: The foot is bending. It's bending where.

2126
02:27:32,360 --> 02:27:35,840
Speaker 8: The mind it straight up and down the other way.

2127
02:27:35,920 --> 02:27:36,520
Yeah like that.

2128
02:27:36,680 --> 02:27:37,479
Speaker 5: There you got me?

2129
02:27:39,239 --> 02:27:42,399
Speaker 10: Yeah, there there there you can see the mid trstle

2130
02:27:42,479 --> 02:27:45,799
break where the heel comes to the ball of the foot.

2131
02:27:46,600 --> 02:27:50,920
Speaker 8: That ball is just crazy wide, and the heel is

2132
02:27:50,959 --> 02:27:52,000
so wide and thick.

2133
02:27:52,600 --> 02:27:54,239
Speaker 5: Yeah, the heel is very deep too.

2134
02:27:56,079 --> 02:28:00,959
Speaker 10: So what's interesting is besides this little impression, and is

2135
02:28:01,000 --> 02:28:05,000
that the one that's holding it cast a four toed

2136
02:28:05,159 --> 02:28:10,600
impression and it got into the mud, So I got

2137
02:28:10,719 --> 02:28:13,079
a top part of the foot, so I can tell

2138
02:28:13,120 --> 02:28:16,479
that it only casts four toes. Well, if you look

2139
02:28:16,479 --> 02:28:20,319
at littlefoot where the toe right next to the big

2140
02:28:20,360 --> 02:28:24,360
toe there is that was that's just caked mud, there's

2141
02:28:24,440 --> 02:28:31,559
no toe there, and there's the little toe piece of

2142
02:28:31,600 --> 02:28:34,440
it broke off, so you can't really tell. But there's

2143
02:28:34,520 --> 02:28:37,360
three toes there, so three toes and a big toe

2144
02:28:37,520 --> 02:28:38,479
is four toes.

2145
02:28:38,920 --> 02:28:41,319
Speaker 9: Yeah, and you see that that break in the middle too,

2146
02:28:41,360 --> 02:28:42,639
which is very cool.

2147
02:28:42,920 --> 02:28:45,200
Speaker 8: Actually that's David's foot. He's just.

2148
02:28:47,280 --> 02:28:48,120
Speaker 10: And you want to know.

2149
02:28:49,920 --> 02:28:51,440
Speaker 8: He's got those little hands too.

2150
02:28:51,559 --> 02:28:55,079
Speaker 10: If you multiply the dimensions time for you have the

2151
02:28:55,120 --> 02:28:57,799
dimensions of Patty's foot, what do you do?

2152
02:29:00,680 --> 02:29:00,879
Speaker 7: Yeah?

2153
02:29:00,959 --> 02:29:03,280
Speaker 10: I got foot yep?

2154
02:29:04,799 --> 02:29:09,799
Speaker 8: Anyhow that Yeah, that the track is really cool. Uh,

2155
02:29:09,920 --> 02:29:17,360
somebody's requesting the Texas sounds again too, Sure are really good.

2156
02:29:17,440 --> 02:29:20,200
I mean those are really interesting.

2157
02:29:21,719 --> 02:29:41,920
Speaker 4: Sounds, very very metallic.

2158
02:29:52,360 --> 02:29:53,520
Speaker 8: Very metallic sounding.

2159
02:29:53,600 --> 02:30:02,760
Speaker 10: David yes, which is uh an and interesting note a

2160
02:30:02,799 --> 02:30:07,559
lot of metallic sounds have been recorded, not even voice

2161
02:30:07,600 --> 02:30:12,520
type sounds, but car door sounds. Yeah, car doors, slamming

2162
02:30:12,559 --> 02:30:16,079
in the woods. I have a recording of something banging

2163
02:30:16,120 --> 02:30:18,840
on a chain link fence in the middle of the woods.

2164
02:30:20,239 --> 02:30:24,440
I also have recorded a weed eater in the middle

2165
02:30:24,479 --> 02:30:31,000
of the woods at ten o'clock at night. Yeah, yeah,

2166
02:30:31,040 --> 02:30:34,280
maybe maybe that was a Maybe that was a buzz doug.

2167
02:30:34,399 --> 02:30:35,520
Maybe it wasn't a week.

2168
02:30:35,399 --> 02:30:39,239
Speaker 8: That's what I'm saying. Yeah, it's like I'm surprised.

2169
02:30:39,239 --> 02:30:40,200
Speaker 4: I just hit you out.

2170
02:30:42,920 --> 02:30:44,799
Speaker 10: Now I'm gonna have to go digging for that file.

2171
02:30:45,879 --> 02:30:47,120
Speaker 8: Oh you recorded it?

2172
02:30:47,479 --> 02:30:47,879
Speaker 10: Yeah?

2173
02:30:48,120 --> 02:30:50,840
Speaker 8: Oh gee, okay, yeah, now you're definitely.

2174
02:30:50,479 --> 02:30:54,760
Speaker 11: Gonna stand Courtney sent me a weed eater recording a

2175
02:30:54,799 --> 02:30:58,680
long time ago, and it was the fella who got

2176
02:30:58,680 --> 02:31:03,120
it recorded actually looked up and saw the sasquatch who

2177
02:31:03,280 --> 02:31:06,840
was at the edge of the forest making the weedier sound.

2178
02:31:07,600 --> 02:31:10,000
Speaker 9: There you go, if you could just do the work,

2179
02:31:10,440 --> 02:31:10,719
be good.

2180
02:31:13,040 --> 02:31:17,159
Speaker 8: Well can we rule out these starlings that do they

2181
02:31:17,200 --> 02:31:21,959
do mimic you know, certain starling birds mimic exactly?

2182
02:31:22,040 --> 02:31:22,239
Speaker 9: Yeah?

2183
02:31:22,360 --> 02:31:23,440
Speaker 8: Can that be ruled out?

2184
02:31:23,479 --> 02:31:26,000
Speaker 9: Guys, the crows, everything else.

2185
02:31:26,079 --> 02:31:27,840
Speaker 10: I don't think you can rule it out. I think

2186
02:31:27,879 --> 02:31:32,319
the possibilities are minimal. Bits you have to acknowledge it.

2187
02:31:33,280 --> 02:31:35,559
Speaker 9: I've heard the baby cries. They're not very.

2188
02:31:35,360 --> 02:31:38,200
Speaker 10: Good at it, but they try. Got that recorded too.

2189
02:31:38,600 --> 02:31:41,559
Speaker 8: The worst thing a person can do who's interested in

2190
02:31:41,680 --> 02:31:45,520
research is to come up with a reason why you

2191
02:31:45,559 --> 02:31:48,479
don't need to want to study it, right. That's not

2192
02:31:48,760 --> 02:31:51,639
a good thing to do, and that's what so many

2193
02:31:51,680 --> 02:31:55,520
of our modern scientists do. One they're not getting a

2194
02:31:55,559 --> 02:31:58,159
grant to do anything with it, and two they just

2195
02:31:58,239 --> 02:32:01,600
kind of blow it up. It's probably yep, why look

2196
02:32:01,639 --> 02:32:05,799
into it? And Devin, thank god that you're so open minded.

2197
02:32:06,920 --> 02:32:07,120
Speaker 10: To be.

2198
02:32:08,760 --> 02:32:11,760
Speaker 5: It's rare, but you've got to keep your mind open.

2199
02:32:11,840 --> 02:32:14,479
Speaker 8: But Devon, you're so rare as a scientist.

2200
02:32:14,600 --> 02:32:17,079
Speaker 9: And you know what, I agree. I appreciate it very

2201
02:32:17,200 --> 02:32:23,399
much because because I know so, I really don't care. Yeah,

2202
02:32:23,440 --> 02:32:26,639
but I appreciate it to people that do, because you know,

2203
02:32:26,680 --> 02:32:29,680
once you see them, you gotta know it doesn't matter anymore.

2204
02:32:29,840 --> 02:32:33,079
But the people that don't, you know what, time I

2205
02:32:33,120 --> 02:32:33,920
think is amazing.

2206
02:32:34,319 --> 02:32:37,040
Speaker 11: So what's really cool, though, is that I know from

2207
02:32:37,079 --> 02:32:42,040
my experience in the training that I went through, the

2208
02:32:42,079 --> 02:32:46,799
military graduates hundreds, if not into the thousands, of students

2209
02:32:47,280 --> 02:32:50,079
with the same kind of training that I have every year,

2210
02:32:50,959 --> 02:32:54,399
and so there are other crypto linguists out there, you know,

2211
02:32:54,520 --> 02:32:58,360
probably retired sitting on the sofa at home, who could

2212
02:32:58,440 --> 02:33:01,079
dust off their old skills and do the same kind

2213
02:33:01,079 --> 02:33:03,239
of research that I and Scott Nelson and.

2214
02:33:03,280 --> 02:33:05,799
Speaker 5: Others are doing. Somebody I invite them to do it.

2215
02:33:06,840 --> 02:33:08,239
Speaker 7: Yeah, I agree.

2216
02:33:08,600 --> 02:33:12,520
Speaker 10: Yeah, we appreciate it very much, and I think this

2217
02:33:12,639 --> 02:33:17,559
is an absolutely viable frontier and we're just we need

2218
02:33:17,600 --> 02:33:22,559
more devons out there that You're right, we as amateurs

2219
02:33:22,600 --> 02:33:25,920
aren't going to gain traction. We'll notice things, will draw

2220
02:33:25,959 --> 02:33:29,840
attention to you some things, but we can't make any

2221
02:33:29,920 --> 02:33:33,680
kind of final determination that it has validity. Don't have

2222
02:33:33,719 --> 02:33:34,360
the background.

2223
02:33:35,159 --> 02:33:37,559
Speaker 11: But you know, David, there's always going to be skeptics,

2224
02:33:37,600 --> 02:33:40,760
even for me, for the scientific approach that I attempted

2225
02:33:40,799 --> 02:33:44,280
to take to this, you know, well reasoned approach. There

2226
02:33:44,280 --> 02:33:46,559
are always people going to be willing to shoot me

2227
02:33:46,639 --> 02:33:50,959
down because they have their vested view of the world

2228
02:33:51,200 --> 02:33:53,559
and you know, they don't want anything to undermine that.

2229
02:33:54,200 --> 02:33:56,840
So what's more important is that there's actually a community

2230
02:33:56,840 --> 02:33:59,959
of people out there like us. Whether you've got trade

2231
02:34:00,639 --> 02:34:03,639
or you don't, but you you have the open mind

2232
02:34:03,639 --> 02:34:05,440
and you're willing to go out there and put the

2233
02:34:05,520 --> 02:34:09,200
reporters out and do the data collection, you know, do

2234
02:34:09,319 --> 02:34:12,280
the research, and then we share that as a community

2235
02:34:12,799 --> 02:34:16,120
and we debunk it, we try to verify it, whatever.

2236
02:34:16,440 --> 02:34:19,360
But we don't give up, is the point. So don't

2237
02:34:19,360 --> 02:34:22,079
worry about those people that have their agendas.

2238
02:34:21,920 --> 02:34:22,120
Speaker 5: You know.

2239
02:34:22,799 --> 02:34:24,280
Speaker 9: Yeah, I appreciate.

2240
02:34:25,120 --> 02:34:28,879
Speaker 10: I'm not worried. It's just it's probably not going to

2241
02:34:28,920 --> 02:34:34,040
gain traction, if you will, until it is verified with

2242
02:34:34,120 --> 02:34:38,639
somebody like your background. So that's that's all. My point

2243
02:34:38,799 --> 02:34:43,360
is that I can discover things and and point things

2244
02:34:43,360 --> 02:34:46,959
out that seem interesting to me. Whether they pass muster

2245
02:34:47,079 --> 02:34:50,559
with you is is what's it's important.

2246
02:34:51,200 --> 02:34:55,159
Speaker 11: Well, yeah, but I'm no gatekeeper, so I'll just I

2247
02:34:55,200 --> 02:34:56,760
will be brutally honest with the people.

2248
02:34:56,799 --> 02:34:56,959
Speaker 7: You know.

2249
02:34:57,040 --> 02:35:02,399
Speaker 11: It's like that sounds like yeah, good sunshine.

2250
02:35:03,479 --> 02:35:08,680
Speaker 10: Yeah, what are the chances that it is?

2251
02:35:09,719 --> 02:35:13,479
Speaker 9: Yes, don't let them get to us? Okay, okay, what.

2252
02:35:13,799 --> 02:35:17,680
Speaker 8: Are the chances of having a public depository of all

2253
02:35:17,719 --> 02:35:19,120
of these sounds? Someday?

2254
02:35:20,799 --> 02:35:22,360
Speaker 5: I'm trying to do it. It's hard.

2255
02:35:24,120 --> 02:35:28,879
Speaker 11: A curated online collection, is it's a big endeavor to try.

2256
02:35:29,559 --> 02:35:32,719
Speaker 10: Would you be willing to host it with your main frame? Doug? Yeah,

2257
02:35:34,559 --> 02:35:37,200
we we we might think, I want to venture down

2258
02:35:37,239 --> 02:35:41,520
that it was just it would take people like myself

2259
02:35:41,559 --> 02:35:45,799
with free time to go around and ask people for donations.

2260
02:35:45,879 --> 02:35:48,799
Speaker 8: Well, I mean, you already have a huge amount of recordings,

2261
02:35:48,799 --> 02:35:53,559
and I'm sure Devon has a bunch. The big problem

2262
02:35:53,639 --> 02:35:56,479
is giving people credit. Do they want credit? Do they

2263
02:35:56,559 --> 02:35:59,200
want their name? Yes, it'd be better just to be

2264
02:35:59,559 --> 02:36:02,120
them all be anonymous in different categories.

2265
02:36:02,159 --> 02:36:04,959
Speaker 10: Well, the context of the recording is part of the

2266
02:36:05,040 --> 02:36:09,319
story too, that we can't eliminate we need.

2267
02:36:09,159 --> 02:36:11,920
Speaker 8: To write, but that could be done later. That can

2268
02:36:11,959 --> 02:36:15,920
be a serial numbered, right that they could then look

2269
02:36:16,040 --> 02:36:18,920
up the explanation for it.

2270
02:36:19,280 --> 02:36:21,959
Speaker 10: The mcaulay Library of Sound does a pretty good job

2271
02:36:22,600 --> 02:36:28,440
of documenting and saying who recorded it, where it was recorded,

2272
02:36:28,799 --> 02:36:32,920
time of day, those kinds of things. And the unfortunate

2273
02:36:32,959 --> 02:36:37,159
thing is that they in their recordings they request that

2274
02:36:37,239 --> 02:36:40,600
you have a visual identifier, so in other words, you

2275
02:36:40,600 --> 02:36:44,440
have to see it, make that vocalization, which we're not

2276
02:36:44,440 --> 02:36:47,799
going to be able to do with sasquat. So we

2277
02:36:47,959 --> 02:36:50,399
just do the do the best we can, I suppose, But.

2278
02:36:50,399 --> 02:36:52,399
Speaker 8: I think of a serial number could be applied.

2279
02:36:52,799 --> 02:36:57,799
Speaker 9: Everything is documented, I mean everything is documented, but un

2280
02:36:57,840 --> 02:37:01,559
tell the powers that be. I want to say that exists.

2281
02:37:01,639 --> 02:37:07,239
It's not going Yeah, I'm.

2282
02:37:05,200 --> 02:37:08,159
Speaker 10: With you, Mike. I'm not too concerned whether people believe

2283
02:37:08,200 --> 02:37:10,920
it or not either don't. I just want to get

2284
02:37:10,920 --> 02:37:13,159
it out there that hey, this is a possibility. Well

2285
02:37:13,239 --> 02:37:14,239
let's talk about it.

2286
02:37:14,319 --> 02:37:18,879
Speaker 8: Let's even But even if it was the best, the

2287
02:37:18,920 --> 02:37:23,799
best torn type metallic recordings, the best whoops, the best

2288
02:37:23,799 --> 02:37:26,120
you know what I mean, the best wood knocks, it

2289
02:37:26,159 --> 02:37:31,719
would at least allow scientists to have access to at

2290
02:37:31,799 --> 02:37:33,000
least the starting point.

2291
02:37:33,120 --> 02:37:35,319
Speaker 10: Sure, that would be a nice point.

2292
02:37:35,399 --> 02:37:37,760
Speaker 9: Has been around for a long time, and it's been

2293
02:37:37,840 --> 02:37:43,440
hidden that they're there. I've seen them. It doesn't doesn't matter.

2294
02:37:43,559 --> 02:37:46,079
They've hidden it. We're not going to fix that by

2295
02:37:46,120 --> 02:37:48,920
talking right now. It is just the way it is,

2296
02:37:49,639 --> 02:37:53,040
and we just have to just wait till somebody's sides

2297
02:37:53,120 --> 02:37:54,159
that we need to know about it.

2298
02:37:54,159 --> 02:37:56,639
Speaker 8: But yeah, but do you guys realize, Mike, there's also

2299
02:37:56,719 --> 02:38:00,559
a jillion people out there that are just interesting people.

2300
02:38:00,559 --> 02:38:01,559
They're not scientists.

2301
02:38:01,680 --> 02:38:02,479
Speaker 9: Yeah, there are too.

2302
02:38:02,719 --> 02:38:05,239
Speaker 8: Just people that saw bigfoot cross in front of their

2303
02:38:05,280 --> 02:38:07,680
car now are looking for answers.

2304
02:38:07,840 --> 02:38:10,360
Speaker 9: Exactly, but but they thought pass.

2305
02:38:11,200 --> 02:38:14,360
Speaker 8: But they still want answers. That doesn't stop the and

2306
02:38:14,399 --> 02:38:17,760
the questions, it just begins them many cases.

2307
02:38:17,879 --> 02:38:20,440
Speaker 9: Yeah, yeah, but but the answer, but all those questions

2308
02:38:20,440 --> 02:38:24,280
have been answered, They've just been hidden from all of us, right, Yeah,

2309
02:38:24,479 --> 02:38:27,799
Well we keep asking, we keep trying to figure out

2310
02:38:27,840 --> 02:38:31,200
the questions that they've all we've already been answered. Yeah,

2311
02:38:31,399 --> 02:38:36,559
and which just drives me nuts. I mean, everything is

2312
02:38:36,719 --> 02:38:40,639
just a joke when we all already know. I've seen it.

2313
02:38:40,959 --> 02:38:43,079
I know most of you guys know what's there.

2314
02:38:43,520 --> 02:38:46,000
Speaker 7: Yeah, but we.

2315
02:38:46,079 --> 02:38:48,920
Speaker 9: Keep talking about it because they don't want us to

2316
02:38:48,959 --> 02:38:49,639
know about it.

2317
02:38:50,040 --> 02:38:54,319
Speaker 11: Well, but Mike, I don't think David's point is about

2318
02:38:54,639 --> 02:38:56,719
trying to prove anything to anybody.

2319
02:38:57,280 --> 02:38:58,360
Speaker 5: What we want to do.

2320
02:38:58,479 --> 02:38:59,719
Speaker 9: Is I agree.

2321
02:39:00,079 --> 02:39:03,799
Speaker 11: Yeah, what what Doug suggesting is we share the evidence

2322
02:39:03,879 --> 02:39:07,040
that we've collected, in this case, audio evidence, because there

2323
02:39:07,040 --> 02:39:08,719
are a lot of people that do want to hear

2324
02:39:08,879 --> 02:39:09,799
those sounds.

2325
02:39:10,000 --> 02:39:14,120
Speaker 9: But see Jeff Melodrummer, everybody's been doing this for twenty years,

2326
02:39:14,239 --> 02:39:18,200
and doesn't matter. We end up at the same place

2327
02:39:18,440 --> 02:39:19,239
every time.

2328
02:39:19,520 --> 02:39:20,600
Speaker 5: No no, no, no, no no no.

2329
02:39:20,680 --> 02:39:25,159
Speaker 11: I've evolved dramatically on my position on sasquatch versus fifteen

2330
02:39:25,239 --> 02:39:25,639
years ago.

2331
02:39:25,799 --> 02:39:28,399
Speaker 9: I know you have but the scienceific community haven't.

2332
02:39:28,840 --> 02:39:32,000
Speaker 10: Oh we're not worried about those will evolved as well

2333
02:39:33,159 --> 02:39:33,799
at all.

2334
02:39:33,840 --> 02:39:37,079
Speaker 9: But but think about it, no matter what we do,

2335
02:39:37,319 --> 02:39:39,959
it really doesn't matter much.

2336
02:39:40,559 --> 02:39:45,079
Speaker 11: Yeah, exactly, And I'm like, why do you care that

2337
02:39:45,200 --> 02:39:46,440
other people aren't convinced?

2338
02:39:46,639 --> 02:39:48,040
Speaker 9: Yes see I don't.

2339
02:39:48,200 --> 02:39:51,760
Speaker 11: Okay, then you should have no objection to Doug's suggestion.

2340
02:39:52,920 --> 02:39:57,040
Speaker 9: Yeah, we're probably right. But but what we keep wanting

2341
02:39:57,079 --> 02:39:59,479
to try to find proof that we're talking about today,

2342
02:40:00,079 --> 02:40:02,639
and it kind of bothers me because it doesn't matter

2343
02:40:02,680 --> 02:40:04,479
what we do, nobody's gonna believe it.

2344
02:40:06,000 --> 02:40:07,799
Speaker 5: And prove I'm just trying to share evidence.

2345
02:40:07,879 --> 02:40:13,319
Speaker 8: Okay, good, Yeah, it's you know, it's a mystery that's

2346
02:40:13,360 --> 02:40:14,040
not going away.

2347
02:40:14,120 --> 02:40:14,319
Speaker 7: Mike.

2348
02:40:14,760 --> 02:40:16,959
Speaker 9: No, I ain't going away. I tell you that.

2349
02:40:17,399 --> 02:40:19,600
Speaker 11: I mean, who knows we could share all this evidence

2350
02:40:19,639 --> 02:40:22,840
and it turns out we're actually recording dog man.

2351
02:40:23,239 --> 02:40:25,959
Speaker 10: Oh my god, oh god, here we go.

2352
02:40:26,079 --> 02:40:32,120
Speaker 9: Devin said, there's a second time. I think he's been

2353
02:40:32,120 --> 02:40:32,760
watching VIC.

2354
02:40:33,440 --> 02:40:35,959
Speaker 8: Yeahs to be true, he secretly does.

2355
02:40:38,000 --> 02:40:42,360
Speaker 5: Sorry, don't pay me with that brush.

2356
02:40:43,040 --> 02:40:48,600
Speaker 8: No, we're just joking. It's a drinking game. We've invented

2357
02:40:48,600 --> 02:41:01,120
in the drinking game every time says, everybody takes a shot.

2358
02:41:01,159 --> 02:41:04,200
But anyhow, but if you guys are yeah, but if

2359
02:41:04,200 --> 02:41:06,840
you guys are interested in somehow at least getting a

2360
02:41:06,959 --> 02:41:09,399
start on that, we'd be willing to host it. And

2361
02:41:10,440 --> 02:41:13,399
the nice thing it gets backed up literally every day

2362
02:41:13,520 --> 02:41:19,200
and it's a huge, massive computer. Well, we'd love to

2363
02:41:19,239 --> 02:41:19,760
host it.

2364
02:41:20,399 --> 02:41:24,360
Speaker 10: That would be Devin. I think some of my original

2365
02:41:24,399 --> 02:41:27,719
recordings that I recorded in twenty ten on a different

2366
02:41:27,760 --> 02:41:32,079
medium than I'm using now, I think those files are

2367
02:41:32,159 --> 02:41:37,280
now defunct. So you know, this may be a way

2368
02:41:37,360 --> 02:41:41,000
of protecting ourselves if it goes to an independent source.

2369
02:41:41,559 --> 02:41:41,799
Speaker 5: Yeah.

2370
02:41:42,120 --> 02:41:44,920
Speaker 10: Agree, So we're not dependent upon the internet.

2371
02:41:46,360 --> 02:41:50,280
Speaker 11: Yeah, yeah, I've got almost everything I ever heard backed

2372
02:41:50,360 --> 02:41:53,879
up somewhere. But hard drives do go bad and things

2373
02:41:53,959 --> 02:41:54,479
like that.

2374
02:41:54,680 --> 02:41:59,799
Speaker 10: Right, right, So Doug, if you're you're willing, well we'll

2375
02:41:59,840 --> 02:42:00,520
have to call it.

2376
02:42:01,680 --> 02:42:07,399
Speaker 8: To get Alex to volunteer. You know this works and

2377
02:42:07,440 --> 02:42:20,719
his son going, you know, disappearingly that's true, Oh my god. Uh,

2378
02:42:21,319 --> 02:42:25,840
But I I just think that they're like you can

2379
02:42:25,879 --> 02:42:28,040
go listen to the more Head sound samples, or you

2380
02:42:28,040 --> 02:42:31,319
can buy the DVD, but other than that, you go

2381
02:42:31,360 --> 02:42:34,000
on YouTube. You can look. But it would be really

2382
02:42:34,040 --> 02:42:37,159
cool to have a depository of the different categories, at

2383
02:42:37,239 --> 02:42:40,639
least some examples the best. You know, why put the

2384
02:42:40,639 --> 02:42:43,399
worst ones they can barely hear? When to just put

2385
02:42:43,440 --> 02:42:47,159
the best ones in and then it and then an

2386
02:42:47,200 --> 02:42:51,399
email where if there's a scientist that wants more they

2387
02:42:51,399 --> 02:42:52,200
can write us.

2388
02:42:52,760 --> 02:42:54,840
Speaker 7: Yeah, and like I said, that they're preserved. You're not

2389
02:42:54,879 --> 02:42:55,680
going to go anywhere.

2390
02:42:56,000 --> 02:42:59,360
Speaker 8: Yeah, that's that's one nice thing. Yeah, because we're not

2391
02:42:59,399 --> 02:43:00,520
all going to live forever.

2392
02:43:01,040 --> 02:43:03,319
Speaker 11: And if we focus just on what I the best,

2393
02:43:03,360 --> 02:43:05,840
or what I call consumer grade audio, it's not a

2394
02:43:05,879 --> 02:43:11,239
big number. No, no, right, the most what I have,

2395
02:43:11,959 --> 02:43:15,799
you know, is not shareable because you have to have

2396
02:43:15,879 --> 02:43:20,319
a developed ear to really appreciate some of these recordings.

2397
02:43:23,200 --> 02:43:25,760
Speaker 7: Inspect the spectrographs make a big difference too. That can

2398
02:43:26,440 --> 02:43:28,680
weed out knowing stuff pretty quick.

2399
02:43:29,079 --> 02:43:32,360
Speaker 8: I want to talk about. Maybe the last thing I

2400
02:43:32,360 --> 02:43:37,360
want to cover is the sound called the whoop. Right,

2401
02:43:37,479 --> 02:43:42,200
the whoop it sounds if if a regular person hears

2402
02:43:42,319 --> 02:43:45,879
a whoop in the woods, he just instantly goes hit

2403
02:43:45,959 --> 02:43:51,040
some bird or it's some other animal. But there I

2404
02:43:51,120 --> 02:43:54,399
you know, God bless all the people that have tried

2405
02:43:54,399 --> 02:43:59,719
to come up with an animal a whoops. Evin, what

2406
02:43:59,760 --> 02:44:02,399
are your thoughts on the whoop? Because it's such a

2407
02:44:02,520 --> 02:44:03,200
unique sound.

2408
02:44:03,639 --> 02:44:07,200
Speaker 11: It is very unique and the closest thing I've ever

2409
02:44:07,239 --> 02:44:08,559
been able to come up to.

2410
02:44:10,000 --> 02:44:10,680
Speaker 5: Two things.

2411
02:44:10,799 --> 02:44:14,799
Speaker 11: One, at great distance, a coyote yip can sound like

2412
02:44:14,840 --> 02:44:18,399
a whoop, and that's just because if it were closer,

2413
02:44:18,440 --> 02:44:21,799
you'd clearly hear the yip. But over distance, the soundy

2414
02:44:21,920 --> 02:44:24,040
roads and it can sound a little bit like a whoop.

2415
02:44:24,879 --> 02:44:30,360
The other is a a it's a waiting bird that's

2416
02:44:30,719 --> 02:44:35,520
found in like Georgia, Alabama, Florida called a sora, and

2417
02:44:35,719 --> 02:44:38,360
that makes something like a whoop sound.

2418
02:44:38,520 --> 02:44:42,959
Speaker 5: But that's only in those areas. So it's a very unique.

2419
02:44:42,639 --> 02:44:46,440
Speaker 11: Sound, and it's often accompanied by other vocals like the

2420
02:44:46,440 --> 02:44:50,639
clip we heard earlier, three mon howls, two whoops. Okay,

2421
02:44:51,559 --> 02:44:57,479
it's the whoop's association with other high probability Sasquats vocals

2422
02:44:57,920 --> 02:45:00,680
is what tells me that the whoop is definitely a

2423
02:45:00,680 --> 02:45:02,200
classic Sasquatch sound.

2424
02:45:02,719 --> 02:45:08,159
Speaker 10: I've got one for you. Have you ever heard the

2425
02:45:08,280 --> 02:45:11,159
Cherokee war cry?

2426
02:45:13,079 --> 02:45:16,520
Speaker 11: Not specifically, I've heard the Hollywood versions of the wark crise.

2427
02:45:17,000 --> 02:45:21,079
Speaker 10: I've had somebody pass on to me or recorded at

2428
02:45:21,200 --> 02:45:26,479
one of their gatherings. Somebody did the war cry It

2429
02:45:26,559 --> 02:45:30,600
is the Ohio howell, followed by.

2430
02:45:30,600 --> 02:45:31,879
Speaker 9: Two whoops.

2431
02:45:33,399 --> 02:45:36,360
Speaker 5: Wow, which you've.

2432
02:45:36,079 --> 02:45:39,120
Speaker 10: Got recorded, Devon. We played it tonight.

2433
02:45:40,319 --> 02:45:48,680
Speaker 5: Okay, okay, So the chicken or the egg? Okay, good question.

2434
02:45:50,600 --> 02:45:54,520
Speaker 10: So are we imitating sasquatch for our war cry? Which

2435
02:45:54,639 --> 02:45:59,799
could instill fear in people if they were familiar with sasquatches?

2436
02:46:00,440 --> 02:46:05,639
Speaker 5: Mm hmm. I would assume the human would imitate the sasquatch.

2437
02:46:06,319 --> 02:46:07,159
Speaker 10: That's what I'm saying.

2438
02:46:07,440 --> 02:46:09,319
Speaker 5: Yeah, yeah, that.

2439
02:46:09,239 --> 02:46:11,840
Speaker 10: They would imitate the sasquatch to instill fear.

2440
02:46:12,479 --> 02:46:14,719
Speaker 5: Mm hmm. Makes sense.

2441
02:46:15,520 --> 02:46:19,680
Speaker 8: Have you studied throat singing at all, Devin.

2442
02:46:20,200 --> 02:46:24,239
Speaker 11: Yeah, I've definitely collected a few clips of that and

2443
02:46:24,319 --> 02:46:29,680
some examples, and it's interesting unique. I don't see a

2444
02:46:29,719 --> 02:46:33,280
lot of correlation with sasquatch vocalizations.

2445
02:46:34,920 --> 02:46:37,159
Speaker 8: But the only thing, the only thing I kind of

2446
02:46:37,239 --> 02:46:44,120
do sort of is in the tumbus per sound a

2447
02:46:44,200 --> 02:46:48,879
little bit, but it's a dual it's a dual range.

2448
02:46:49,000 --> 02:46:51,840
Speaker 10: Is there is one of the sounds of the Sierra

2449
02:46:52,000 --> 02:46:56,959
sounds that has this tenor or quality to it. I

2450
02:46:57,040 --> 02:47:00,920
have a recording that I capture it off the internet

2451
02:47:00,959 --> 02:47:03,360
that I compared the two, and I think we played

2452
02:47:03,360 --> 02:47:08,639
that last week, Doug. But there's some sort of throat

2453
02:47:08,680 --> 02:47:12,319
singing type quality to one of the vocalizations in the

2454
02:47:12,360 --> 02:47:13,680
Sierra sounds.

2455
02:47:17,639 --> 02:47:18,399
Speaker 8: Right, yep.

2456
02:47:20,159 --> 02:47:22,479
Speaker 5: I have to go back and listen for it.

2457
02:47:22,760 --> 02:47:24,319
Speaker 10: I think I should send you that clip.

2458
02:47:24,840 --> 02:47:29,000
Speaker 8: You think what wonders why throat singing was developed? You

2459
02:47:29,920 --> 02:47:32,159
have to wonder what was the reason.

2460
02:47:32,840 --> 02:47:47,360
Speaker 16: Dating a solid theory question.

2461
02:47:48,200 --> 02:47:59,760
Speaker 8: Devon said, throat singing is imitating dog man the uh

2462
02:48:00,120 --> 02:48:04,520
Cayu's Cayu's asking he's going to change your name? Tristan

2463
02:48:04,559 --> 02:48:07,280
to mister question. You remind me of me when I

2464
02:48:07,319 --> 02:48:10,840
was about ten, driving my dad crazy.

2465
02:48:12,280 --> 02:48:12,840
Speaker 9: But I love you.

2466
02:48:12,920 --> 02:48:16,040
Speaker 8: I love your question. I'm just kidding you. What about

2467
02:48:16,159 --> 02:48:18,440
babboon sounds? Uh?

2468
02:48:18,920 --> 02:48:21,440
Speaker 10: Well, you you're aware of the fact that I found

2469
02:48:22,879 --> 02:48:28,840
a baboon bark video on the Internet that it sounds

2470
02:48:28,879 --> 02:48:34,520
like something is saying Wahoo, And that just kind of

2471
02:48:34,520 --> 02:48:37,319
got me. The reason that I was even founded I

2472
02:48:37,399 --> 02:48:41,920
was looking to find it. There was more about Daniel

2473
02:48:41,920 --> 02:48:47,559
Boone killing a Yahoo, the mythology regarding that and up

2474
02:48:47,559 --> 02:48:51,479
popped that video. Well, then I went back and I

2475
02:48:51,600 --> 02:48:56,280
found like ten or twelve recordings of that specific sound

2476
02:48:56,840 --> 02:48:59,879
from all over North America. So that is one of

2477
02:48:59,879 --> 02:49:02,840
the sounds that I follow, the bab boon bark.

2478
02:49:06,719 --> 02:49:11,959
Speaker 8: And with that babboon bark comment, we are going to go.

2479
02:49:12,559 --> 02:49:17,079
Speaker 7: Wrap things up all right, everybody, Yeah, don't go anywhere.

2480
02:49:17,360 --> 02:49:20,639
I'll play our wisdom quick. So everybody just hang tight,

2481
02:49:20,680 --> 02:49:21,239
will be right.

2482
02:49:21,440 --> 02:49:24,719
Speaker 1: It's now time for Untold Radio Am Wisdom of the Week.

2483
02:49:25,280 --> 02:49:28,879
Sometimes what feels like bad luck is just a disguised

2484
02:49:28,920 --> 02:49:33,639
detour leading you towards something better. A setback, a delay,

2485
02:49:34,000 --> 02:49:36,520
or a missed opportunity might force you down a path

2486
02:49:36,600 --> 02:49:40,079
you never planned, only to discover later it was the

2487
02:49:40,120 --> 02:49:43,920
perfect place you needed to be. In hindsight, what seemed

2488
02:49:43,959 --> 02:49:47,719
like a negative twist often sets the stage for unexpected growth,

2489
02:49:48,360 --> 02:49:52,399
new connections, or opportunities you wouldn't have found otherwise.

2490
02:49:53,280 --> 02:49:55,399
Speaker 6: Good Night, We hope to see you all next week.

2491
02:49:56,000 --> 02:49:58,600
Speaker 1: If you like the show tonight, please consider giving us

2492
02:49:58,600 --> 02:50:01,840
the thumbs up, leaving a nice comment, and most of all,

2493
02:50:01,959 --> 02:50:05,040
subscribing and hitting the bell so you will be notified

2494
02:50:05,040 --> 02:50:09,000
when a new episode is dropping. Also, please share this episode.

2495
02:50:09,200 --> 02:50:11,639
Now back to Doug and Jeff for our rap.

2496
02:50:15,959 --> 02:50:18,520
Speaker 7: Well, we lost Michael, but thanks to him for coming on.

2497
02:50:18,719 --> 02:50:22,360
Speaker 8: Yeah, No, that was awesome, and thank you Kuyu for

2498
02:50:22,440 --> 02:50:27,719
all of your questions. Love the man. He knows they

2499
02:50:27,719 --> 02:50:31,040
have a lot of them and so but that's the

2500
02:50:31,120 --> 02:50:36,360
kind of curiosity that I actually like to see. That

2501
02:50:36,559 --> 02:50:39,920
is why we are here. Lord knows he thought of

2502
02:50:39,959 --> 02:50:42,600
a lot of questions I wouldn't have thought of. So

2503
02:50:42,760 --> 02:50:47,360
thank you so much Devin for coming on, yes, sharing

2504
02:50:47,479 --> 02:50:52,280
your very logical thoughts on everything. And we love to

2505
02:50:52,319 --> 02:50:58,600
get you back on. And I have the Texas Bigfoot

2506
02:50:59,000 --> 02:51:03,319
recording I'm going to I think Michael is happy we

2507
02:51:03,399 --> 02:51:03,719
send that.

2508
02:51:04,159 --> 02:51:06,040
Speaker 7: Yeah, I had his permission. I sent that to both

2509
02:51:06,159 --> 02:51:09,799
you and to thank you clip.

2510
02:51:11,200 --> 02:51:13,600
Speaker 8: So thank you, Thank you so much David too.

2511
02:51:14,319 --> 02:51:18,079
Speaker 10: Thanks Devin. I appreciate you coming on short notice. I

2512
02:51:18,159 --> 02:51:19,920
haven't seen you in a couple of years. We have

2513
02:51:20,000 --> 02:51:21,559
to stop meeting this way.

2514
02:51:21,680 --> 02:51:23,920
Speaker 5: Yeah, definitely, and it's good to see you again and

2515
02:51:24,000 --> 02:51:24,680
catch up with you.

2516
02:51:25,239 --> 02:51:28,079
Speaker 8: Mainly just no more dog man talk yea.

2517
02:51:31,959 --> 02:51:33,840
Speaker 7: And thanks again to Mike Mullin. Thank you for coming on.

2518
02:51:34,000 --> 02:51:35,479
I don't I guess I don't know where he went,

2519
02:51:35,520 --> 02:51:36,639
but thank you so much for coming on.

2520
02:51:36,959 --> 02:51:41,959
Speaker 8: Yeah, thanks guys, and we'll be back next week, same time.

2521
02:51:42,799 --> 02:51:43,399
Speaker 7: Same place.

2522
02:51:43,559 --> 02:51:45,319
Speaker 8: All right, I.

2523
02:51:46,879 --> 02:51:50,159
Speaker 3: Call you up in the middle of the night and

2524
02:51:50,319 --> 02:51:55,600
bothered by dreams and feeling all day. You give me comfort,

2525
02:51:55,639 --> 02:51:59,280
say just give it some time. Body, end of that talk,

2526
02:51:59,520 --> 02:52:05,000
comfete in just fine during our always no will we

2527
02:52:05,200 --> 02:52:14,399
be long the signal ordinary, we gotta go in all.

2528
02:52:17,879 --> 02:52:21,319
I pick you up in the fifteen hour, Pard, we

2529
02:52:21,520 --> 02:52:23,159
head on down the road.

2530
02:52:23,159 --> 02:52:27,719
Speaker 2: Till we care for just doing in the sun and

2531
02:52:27,879 --> 02:52:32,159
the wind. If the lacious cop call able head or over.

2532
02:52:32,040 --> 02:52:35,280
Speaker 3: We care everybody has gensey.

2533
02:52:35,879 --> 02:52:37,559
Speaker 4: Will we be long.

2534
02:52:41,000 --> 02:52:42,280
Speaker 5: In ordinary?

2535
02:52:43,200 --> 02:52:46,000
Speaker 14: We gotta go in all.

2536
02:52:47,399 --> 02:52:51,879
Speaker 3: At the end of the world together forever it's wall

2537
02:52:52,079 --> 02:52:52,920
in our raid.

2538
02:52:53,479 --> 02:52:55,120
Speaker 8: If ever you should be.

2539
02:52:55,239 --> 02:52:56,840
Speaker 2: In town in our prey.

2540
02:52:57,319 --> 02:53:01,399
Speaker 9: We never a compose a part always.

2541
02:53:03,000 --> 02:53:08,639
Speaker 3: All the time I would be together, never retayle condos.

2542
02:53:09,079 --> 02:53:13,399
It never would be lestrat a coup on a way

2543
02:53:13,479 --> 02:53:16,840
back home you workin.

2544
02:53:34,200 --> 02:53:36,360
Speaker 2: At the end of the world.

2545
02:53:36,399 --> 02:53:41,360
Speaker 3: Together forever is well alway, if ever you.

2546
02:53:41,440 --> 02:53:46,799
Speaker 2: Should be in down a comprate. They never compose a part.

2547
02:53:46,639 --> 02:53:53,040
Speaker 3: In lorway at the end of the world together.

2548
02:53:52,959 --> 02:53:56,239
Speaker 8: Forever is ond in Norway, if.

2549
02:53:56,159 --> 02:54:00,360
Speaker 3: Ever you should be in town in always They never

2550
02:54:00,600 --> 02:54:02,600
sps apart.

2551
02:54:02,239 --> 02:54:03,319
Speaker 14: In all the way.

2552
02:54:05,399 --> 02:54:09,879
Speaker 3: All the time when we beg together, we never retained

2553
02:54:10,040 --> 02:54:11,559
the hondow.

2554
02:54:11,479 --> 02:54:14,000
Speaker 9: We never suld be less straight, and

2555
02:54:14,239 --> 02:54:18,600
Speaker 4: All found the way by the go to you again