August 25, 2025 • 61 mins
Terrestrial, the founder and analyst at the Sasquatch Data Project, joins the SE Crew to discuss Sasquatch and assorted findings!
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Sasquatch Experience by Anomalis Entertainment, LLC is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Based on a work at https://www.spreaker.com/show/sasquatch-experience.
Permissions beyond the scope of this license may be available at https://www.sasquatchexperience.com/permission.
PLEASE LIKE, SUBSCRIBE, RATE, AND REVIEW ON ALL PLATFORMS: YouTube, Facebook, Apple Podcasts, Spotify, Spreaker, or wherever you listen!
GET YOUR SASQUATCH EXPERIENCE GEAR FROM THE SQUATCH PRO STORE!
Sean Forker hosts SASQUATCH EXPERIENCE, which also features Matt Arner, James Baker, Vance Nesbitt, and Henry May.
Creative Consultants: Matt Knapp (Bigfoot Crossroads) & Les Sincavage (Xplorers: Seekers of the Truth).
Show Executive Producer: Brian Corbin
Special Thanks to all our Patreons:
The Experiencers: Jeffreylee Matthis, Got Knockers!, Larry Sharpe, Scott Dieterele, and Tom Mihok
Trackcasters: Cindy Brewer
The Hollers: Gail Frederick, David Hickernell, Bryley Hull, Matt Arner, Laurie Nelson, and Lori Worthington
Without their support, this show would not be possible. For as little as $2 per month, please consider becoming one of our supporters on PATREON.
Our show intro music, “It Comes At Night” by Adam Dib, is licensed to us for commercial use. “9-11 Bigfoot Call” is also used under Fair Use. Sean Forker and Gabriel Forker are credited with the intro and exit voiceover work. Sasquatch Experience Trailer music, “It's in the Fog” by Darren Curtis, is used with permission and attribution.
If you’d like to hear a particular topic or guest, EMAIL US!
Check us out:
Facebook | X | Instagram | SasquatchExperience.com
Become a supporter of this podcast: https://www.spreaker.com/podcast/sasquatch-experience--4208641/support.

Sasquatch Experience by Anomalis Entertainment, LLC is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Based on a work at https://www.spreaker.com/show/sasquatch-experience.
Permissions beyond the scope of this license may be available at https://www.sasquatchexperience.com/permission.
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Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
Speaker 1 (00:04):
Views and opinions expressed by the guests that Sasquatch Experience
do not necessarily reflect the opinion of the host, sponsors,
or affiliates of the Sasquatch Experience. As always, listener discretion
is advised.
Speaker 2 (00:18):
We got some one or something crawling around out here,
and see what it was?
Speaker 1 (00:24):
Was it a person or an animal.
Speaker 2 (00:26):
Or I can't know. All I know that my underway
came on and I get happened to Glenn and be
the thing running across the head good bye man or something.
Speaker 3 (00:34):
To look by the men.
Speaker 2 (00:35):
I don't know what it was.
Speaker 4 (00:40):
Back in two thousand and five, we set out with
one goal to give voice to the mystery and those
who pursue it. Sasquatch Experience podcast has been your go
to source for serious Bigfoot discussion, where we separate fact
from folklore. Always grounded in research and respect. We've interviewed eyewitnesses,
experts since Skeptic to Like because understanding Bigfoot isn't just
(01:02):
about belief, It's about the journey. Nearly two decades later,
we're still chasing shadows and sharing stories. The search never stopped.
Welcome to the Sasquatch Experience.
Speaker 2 (01:23):
Hello, Get somebody out.
Speaker 3 (01:26):
Here, and here we go.
Speaker 4 (01:38):
Welcome to the Sasquatch Experience, everybody, Monday, August eighteenth, twenty
twenty five. And what a great show we have for
you all tonight. We've got a full house here as
you can see down at the bottom. James Baker, vance
Nesbitt our guest tonight, Terrestrial Henry May and Matt Arner
from the Allegheny Plateau Project. Great show we're going to have.
(02:00):
But before we kick off, just a couple of housekeeping notes.
This weekend, Friday through Sunday is the twenty twenty five
Pennsylvania Bigfoot Camping Adventure. Myself, Matt and James Baker. We're
going to be there sponsoring doctor Jeff Meldrum, all representing
Sasquatch Experience, and we'll be speaking at ten am on Saturday.
(02:20):
So show up with your selected produce, which, by the way,
if you're going to throw anything, make sure it's good
so we can collect it. Or Squatch out Hunger, folks,
Squatch out Hunger. We still need your help. We've kind
of stalled in donations. We've got a lofty goal at
twelve hundred and fifty bucks. We need you, so take
a minute if you have the time. If you're so inclined,
go to the website click on the banner to take
(02:42):
you to Squatch out Hunger. It's a goal, that's it's
a I don't even want to say it's a goal.
It's a cause that's really important to us here at
Sasquatch Experience. We do it every year. Help care about
our neighbors a little bit and raise some money to
take care of some folks in need. Every dollar equals
ten meals through their formulations, so just remember that every
(03:02):
dollar you donates helping to give ten meals to folks
in needs. To go ahead and Sasquatch Experience dot com
click on the banner for Squatch out Hunger. We need
your help on that and for our patreons, which folks
you guys, we don't need to remind you, but in
case you're do, you can join for as little as
get the fingers up boys two dollars a month. We
(03:24):
missed our watch along last night because somebody took an
unplanned early nap, so because of that we'll we spend there,
of course rescheduling our watch along for another date. So
you know, as aside from the watch along once again,
I offer my sincerest apologies.
Speaker 5 (03:43):
For that.
Speaker 4 (03:43):
As little as two bucks a month, you get ad
free shows. Mostly you get episodes of Cryptic Wilderness featuring
Matt Arner and myself down there at times Baker's Hot Takes,
which you really don't want to miss. And then the
Sasquatch Experiences little short form podcasts where I go over
some recent sightings and share them with you. So that's
(04:04):
all I got for the news. Anything else from you
guys before we kick off and I give our intro
and we start the show thinking off, all right, guys,
we've all been excited about this one, okay, ever since
I stumbled upon the Sasquatch Data Project and some of
the really great, you know, informational slides that she's put
(04:29):
out there on Instagram. Terrestrial is the creator of the
Sasquatch Data Project, an ongoing effort to provide researchers with
Sasquatch report data and a format optimized for data analysis.
She has a Bachelor of Science and Earth and Atmospheric
Sciences from the Georgia Institute of Technology, and while in attendance,
she played an integral role in categorizing, identifying, and measuring
(04:51):
ground ice features on the Dwarf Planet series as part
of NASA's don mission. In twenty twenty three, she began
to development of the Sasquatch Data Project's data set. Her
work primarily focuses on the application of statistical and NASA
on reported sasquatch encounters, with particular emphasis of the regional
(05:12):
variation of behavioral and morphological patterns of reported sasquatches, as
well as investigating witness psychological responses and summing that up.
We're just so pleased to have you on the show, Terrestrial.
Thanks for joining us and putting up with us so
far for about fifteen minutes.
Speaker 6 (05:28):
Yeah, thank you so much for having me. I'm like,
I'm always down to nerd out about data and sasquatch,
so I'm really excited.
Speaker 4 (05:38):
Well, you've put together some really great, you know pieces
of you know, visual representation of that data. I know
you look, you put out some yesterday the day before
that were really great where folks can go to Instagram
and check that out. I guess the first question I
have is why sasquatch? How did you get involved in
the sasquatch mystery.
Speaker 6 (05:59):
Yeah, I've had like kind of a winding path to
end up creating the Sasquatch Data Project. But really it
all started when I was about five. I saw Sasquatch
legend meete science for the first time, and that's where
I saw the Patterson Gimblin film, and like, I just
remember seeing that footage in my brain just kind of exploded.
(06:22):
I was like, this is the craziest thing I've ever seen,
and I'm also terrified. So but that kind of like
that kind of I guess planted the seed for me.
And I had always been really interested and you know,
read what I could. And then honestly, when Finding Bigfoot
came out, I was like in middle school and it
(06:44):
was the first time I realized that people were really
like actually devoting their time and energy into researching this subject.
But at the time I didn't really like realize that
I could do that in an academic setting or in
like scientific way. So then NASA became goal and that
was kind of it until I graduated college, and then
(07:06):
I just landed at doing this. I just realized, like,
my passion is researching sasquatch, and you know, I love
data analysis, I love data science. So this is my take,
I guess on researching this subject.
Speaker 4 (07:25):
What was really attractive about what you were doing is
that in twenty twelve we started something up here in
Pennsylvania called the Keystone Bigfoot Project, and our whole purpose
was to take all this citing data and put it
into some sort of like you did, visual representation, and
so we could go back and look at it historically,
(07:45):
so see if we could take this data and align
it to some sort of pattern that we could where
could we go and best deploy ourselves in the future
based upon patterns of the past, right, And it was
quite the mind you menus feet, and none of us
had the education to do that. I mean, I'm what
you're doing is rather amazing, and what you've done so
(08:06):
far is rather amazing. There's a train come through. And
so that was back in twenty twelve. We started that,
and we tried to do that. We gave about probably
about twenty fifteen. We utilized Google Earth as an overlay
and just kind of, you know, tried to plot it
that way. But tell us about how you started the
(08:27):
data project, what was the idea behind it, and how
did it get going.
Speaker 6 (08:34):
Yeah, so I guess the whole idea got started because
I had heard. I've always heard folks say like particular
things that sasquatches do, or you know, different characteristics that
they say that they have, but then there were never
numbers or any kind of you know, substance behind the
(08:56):
statements that people were making. But the thing that really
made me start this project was I heard someone say
that sasquatches are more active under a full moon, and
I was like, well, you know, as far as I know,
no one's actually run the numbers on that, like taking
a large amount of data and actually seeing if that's true.
So I got started by just with that question in mind,
(09:17):
and I just started going through the FRORO reports by
hand and making my spreadsheet. And at that time, you know,
the data set was pretty small. I probably started off
with about thirty columns and I've grown it to over
one hundred and eighty now and I've gone through I
think like twenty six hundred and fifty nine reports so far,
(09:40):
so I'm pretty pretty deep. But that was the initial
question that got me interested and was like, Okay, I've
got to take this idea that I've been sitting on
and just do it, Like now's the time.
Speaker 4 (09:54):
So what have you found out as an answer to
that question, so far.
Speaker 6 (09:59):
So far I found out. So something that I like
to I like to say right off the bat too,
is when we're taking when we're looking at this data,
we can make commentary on how reports are basically stated, Like,
you know, we really can't make statements regarding sasquatch behaviors
(10:20):
or like their migration habits or anything like that, Like
we have to look at it from a totally unbiased view.
So I can't say if they're more active under full
moon conditions. But I have found that in the data
that there are more sighting reports in the upper levels
(10:42):
of the mood illumination, so greater than are equal to
eighty percent, And that difference, like that increase in citing
frequency is statistically significant if you're comparing it to the
middle values. So that's pretty interesting in itself. We also
see an increase when you are looking at illuminations over
fifty percent as well. You know why that is, I
(11:04):
don't know, we can speculate, you know, from both an
ecological and more humanistic side of things, but it is
interesting that we do see that, at least so far
in the data.
Speaker 4 (11:18):
Right now, the only thing and I'm sure, you would
probably agree with this is the problem with data up
to the person reporting it to be as accurate as possible,
and I at times, you know, given the length of
time we've investigated it, is that what they remember may
(11:40):
not always be accurate. So one of the things that
we've tried to do is, you know, go to resources
when we've gone out and investigated.
Speaker 3 (11:49):
Matt and I.
Speaker 4 (11:49):
Let's say we went out and talked to an investigator
on Tuesday or a witness on Tuesday, they had a sighting,
they remember the moon being at one stage, we can
go and look and say, well, you know, unfortunately you
might remember it that way. That's just not the case.
And that's always a problem I had with some of
this is that folks reporting the data, there's always a
(12:09):
lot of room for human error.
Speaker 2 (12:11):
Right.
Speaker 4 (12:11):
We could do our due diligence and go and correct that,
but if it's not caught, you know, it could skew it.
And I think that's that's a problem with data. But
I mean, have you gone and done any of that
checking yourself when you're going through and looking at these reports,
I mean sometimes you're getting very vague statements of those reports.
Speaker 6 (12:29):
Yeah, I mean I only so when I run any
kind of data analysis or statistical analysis, I only use
it when I have complete data, Like I don't. I
don't really use Class B sightings or class sidings. I'm
only using Class A sightings really for majority of my analysis.
And you know, in particular, when we're talking about mud illuminations,
(12:49):
I'm only using reports that have a complete date so
that I can go and calculate the muon illumination percentage myself.
I don't rely on the information in the report. So
I am very careful with the data that I am using,
because you know, there is a lot of noise, especially
(13:10):
when you start introducing Class B reports and things like that.
But there's also different corrections and stuff that you can
do when you're running these numbers to make sure that
the signals that you are seeing are you know, not
the result of like a false positive or something with
the statistical testing. So you know, there's ways around it,
(13:33):
and I try to be as careful as you possibly
can and only use like the highest quality reports basically.
But yeah, it really just depends on my question too
of what I'm wanting to know.
Speaker 7 (13:44):
I had I had a question, so well, actually it's
a two part question. One is how many reports did
you use and how many reports did you disregard because
they weren't a.
Speaker 6 (13:58):
So right now for that particular analysis or just in general.
Speaker 8 (14:04):
Okay, you could pick an analysis or in general.
Speaker 7 (14:07):
I'm just trying to get to say what the percentage
between an A and a D is, you know what
I mean?
Speaker 4 (14:12):
Like that what you've acquired.
Speaker 6 (14:13):
So right now on the data set, there are one
hundred and ninety two Class A reports, There's one thousand,
one hundred and eighty three Class B reports, and then
there's eighteen Class C reports, So it's kind of half
and half right now. And then obviously two like those reports, aren't.
Speaker 2 (14:35):
You know?
Speaker 6 (14:35):
The they don't always have complete data for like everything
that I'm looking for the majority of them don't have
complete data, which is totally fine. But yeah, so that.
Speaker 7 (14:46):
Makes sense because you didn't ask the questions to get
not to get the answers you wanted, but to get
the field that you needed to fill in. It's kind
of like if I if me at Forker asked questions
for what we'd like to know, compared you coming in
and asking questions our questions might like Mike might aligne.
Speaker 8 (15:05):
But some of your.
Speaker 7 (15:06):
Questions you'd be like, oh, man, I wish they would
have asked it. They were from Tulsa, you know what
I mean? Because it was important to what I needed.
Speaker 8 (15:13):
To know about Tulsa.
Speaker 2 (15:15):
You know.
Speaker 4 (15:19):
Yeah, No, Beck, you make a great point there, and
I you know, over the years where we've done this,
there are times Treasure where Baker's given me a public
spanking because I'd asked a question that was uh or
I didn't ask enough questions. Wouldn't you agree, Bake? Was
that was at it? I didn't ask enough. I didn't
go deeper it to go over your.
Speaker 9 (15:39):
Information with somebody else. That's why partnerships are good, because
then you can say, okay, hey, I have a eleven
hundred Class A ones, and of them fifty percent or
seventy five percent of them asked an important question to me. Okay,
and then you have a reference and somebody else is
gonna go, yeah, but they asked this question that you
(15:59):
missed that reference back to that and you're like, oh, yeah, Ship,
I can reduce paper.
Speaker 4 (16:04):
Yeah, go ahead.
Speaker 10 (16:10):
And Matt, So this is actually a follow up to
James's question for you working in the data field, what
is it that you'd like us as researcher says people
doing the interviews, what sort of information is most important
for your data collection?
Speaker 6 (16:30):
That's a great question, you know. I was actually just
talking to someone the other day too, who is asking
the same thing, like what what uh fields are useful?
Speaker 8 (16:41):
Oh?
Speaker 4 (16:42):
Oh no, you lost her?
Speaker 8 (16:45):
They got rid of her. Tell them to bring her back. Sorry, hello, sorry,
give me up?
Speaker 4 (16:58):
Go ahead.
Speaker 6 (17:00):
So yeah, that's a that's a really great question. When
I am looking at witness reports, honestly, the first thing
I look for is a complete date, so like a
specific date that the encounter happened, because we can derive
a lot of information from that, including like extremely comprehensive
weather data. Obviously we can calculate a moon illumination percentage
(17:22):
and other things as well, like we can potentially use
it for like macent modeling or whatever or not maxcent modeling.
That's lat Loan. A lot of too longitude is my
next thing. My brain was thinking ahead. That's the next
thing that I look for is a lot of two longitude
because we can also drive a lot of information from
that too. But when it comes to like physical descriptions,
(17:44):
that's something that I'm particularly interested in, especially when we're
looking at things on a regional scale. I'm really interested
in like the hair condition, where they maddie or matted
like shaggy nasty, or were they like pretty clean, because
potentially it could tell us about their social dynamics. We
(18:05):
see this and the other great apes things that I
look for are like progmatism, like does their job protrude
from their face or do they have you know, was
it a flat face? You know. I have like a
worksheet I would be happy to send you to that
has basically every column in my data set like spelled
(18:26):
out for it, specifically for people who are doing like
witness follow up interviews that kind of give you an
idea of some things to ask.
Speaker 10 (18:35):
We would we would definitely appreciate that.
Speaker 4 (18:38):
Oh yeah, yeah.
Speaker 6 (18:39):
Yeah, I can definitely send that over. But like I said,
I have like one hundred and eighty columns that I'm
trying to fill out in the spreadsheet for every single report,
So anything related to you know, the environmental, behavioral or
physical traits of sasquatches, like I'm interested in the goal
is to have a column for kind of everything. If
(18:59):
you can ask a question about the report, Like, I
want to have information easily accessible that you can go
and grab from the data set. But yeah, really, really,
the things that are missing that I wish I had
more of is definitely the lat Moan data and then
like a complete date of the encounter, but I know
that's not always possible to get.
Speaker 4 (19:25):
Henry, You're up next.
Speaker 8 (19:26):
You had a question, Yes, I wanted to ask what
sort of patterns do you look for? Do you look
for patterns in the reports that you've collected?
Speaker 6 (19:37):
Yeah, So when it comes to the patterns, I always
have a pre defined question of what I'm asking. I'm
not necessarily looking to answer my questions a certain way.
I just I'll think of something. So like one of
my one of my favorite things that I've looked into
(19:57):
is this relationship between a witness's fear level during the
encounter and the associated estimated height of the sasquatch. So
that was my question because I hear quite often, like
you know, people who are more freaked out, they might
think it's bigger than it actually is, and this is
a very well documented documented psychological phenomenon. So I was like, well,
(20:20):
you know, we could potentially see that in witness reports.
So that's my question. My question is how does or
does the estimated heights of the sasquatch change if you
introduce witness fear levels into things and it turns out
it does. So like I love looking at things like
(20:41):
that that are kind of it doesn't really matter if
the witness is accurate or not in the height estimate,
like in that case, it doesn't only matter if you know,
they said it was eight feet but it was actually
only six and a half feet tall or something. It's
more about just the general change in the data, if
that makes sense. So I love looking for patterns like
that where it would be extremely difficult to hoax, especially
(21:05):
over decades and a large geographic span. And I love
looking at I don't know, just kind of like a
backdoor way into investigating witness reports that might not be
you know, I have a forefront of people's minds.
Speaker 4 (21:25):
Interesting. Oh that's very interesting. I like the purpose behind that.
Terrorized by a four foot tall sasquatch. You know, it
was horrifying. Scare the crap out of me. Hey they're
out there, folks. They start out as baby somewhere right
or the Alba twitch. You got to get a lot
of Alba twitches. Would you have a question in the
chat from Scott Dieter. Lee are a good friend Scott,
(21:48):
and it was to the entire group, but we'll let
Trash will go first. Do you think that the community
could standardize some sort of interview data gathering protocol?
Speaker 6 (21:58):
I think it would be extremely been official because purely
from like a scientific standpoint, having standardization is essential to
any kind of investigation, like making sure you know everyone's asking.
In an ideal world, everyone would ask the same exact
(22:19):
questions in the same exact way, in the same order.
I recognize though that that's not possible really, but we
would definitely definitely benefit from something like that so that
we could make sure that we're extracting as much information
as we possibly can from the witness interviews.
Speaker 7 (22:40):
Yeah, hmm, right.
Speaker 4 (22:45):
I think you have to leave the opportunity for them.
You know, the human aspect of it too. There's you
don't want it to be an interrogation. You want it
to be an interview, right, And sometimes as you're asking
a hell of a lot of questions, that seems more,
you know, of an interrogation then it does an interview.
But if you can answer a lot of the same question.
(23:06):
You know, a lot of the same You can answer
a lot of the questions with a question. It makes
a difference. I think one of the things that it helps, though,
is eliminate leading questions and takes that bias out of
the investigator and puts, like you said, a standard operating
you know, form or data set that you can ask
questions that aren't going to be leading, and you take
(23:28):
a lot.
Speaker 2 (23:29):
Of that.
Speaker 4 (23:31):
I don't want to say guests work. If you take
a lot of that bias out of the equation then
and I think that's really important. Researchers still understand the
power they have in forcing questions out of witnesses or
forcing answers out of witnesses unintentionally, that you're goading them
(23:53):
along and you're you're setting them up. You're not really
helping them give you a true recollection of what they encountered.
It's problematic. I guess my question would be everybody still alive?
Speaker 5 (24:10):
Yeah, we're still alive. I guess my question would be,
thanks man, some of one to ten? Where do you
believe this entity actually exists?
Speaker 4 (24:27):
Like?
Speaker 6 (24:28):
Where?
Speaker 8 (24:29):
Wait?
Speaker 6 (24:29):
Can you say that again? Did you say where they exist?
Speaker 4 (24:33):
Well?
Speaker 5 (24:33):
No, let me. Let me rephrase that on a scale
of one to ten, ten being the greatest, do you
believe that this entity actually exists?
Speaker 6 (24:46):
Oh, actually exists? Sorry, I would say I'm at like
a nine point nine at this point. Awesome, Like yeah,
and doing the data project too is just kind of
pushed me further up the scale as well. Like the
more that I see, the more non random patterns that
(25:07):
I see, the more I'm convinced, especially when you start
recognizing too that some of these patterns mirror known you know,
nocturnal predator behaviors, or they mirror like known great behavior
or you know, anything like that. So yeah, definitely obviously
(25:28):
like seeing one would push me over into a tend.
But the more I look at the data, the more
that I just keep asking questions and keep digging, and
the more I learn it.
Speaker 5 (25:41):
Just I'm just I'm right there, you know, because I
am a lot of people that ask me. They know
that I'm into this field, and they ask me that
same question, and I say, yeah, I definitely believe that
there is this entity that does exist, but I'm not
(26:02):
one hundred percent, So I'm kind of running right alongside
of you with that same analytical belief that, Yeah, I'm
not one hundred percent, but boy, I'm kind of close
to it.
Speaker 4 (26:18):
Well, And I think I'm going to piggyback off you
there for a for a minute advance and go into
another question in terrestrial is you're nine point nine, you know,
a nine point nine on that scale of one to ten,
and you're pretty you know, you did work with NASA.
To me, that's that's pretty scientific. It doesn't get much
more scientific than that. Why do you think science has
(26:41):
a soul has a problem with Bigfoot?
Speaker 6 (26:46):
You know, that's a really good question. I think it's
partly due to the stigma. I mean, obviously there's a
stigma around it, and there's it's kind of wild because
there's even a stigma around just bringing it up as
a question, like within academia. It's definitely people instantly kind
(27:09):
of write you off. For the most part, I think
it's just how it's been handled through the decades.
Speaker 8 (27:16):
You know.
Speaker 6 (27:16):
Personally, I think part of it is due to how
the media handled it and how it kind of how
they kind of shaped society to see the subject as
a whole or to see, yeah, to see the subject
as a whole throughout the decades and whatnot. But I
just think that too. There's a lot of funding on
the line, so people are scared to get their funding
(27:37):
taken away. There. You know, your reputation is very important
in academia and the projects that your on are very important.
So you want people to continue to want to work
with you, and you need again funding. That's a big
part of things. Yeah, I think you know. Obviously I
don't know for sure, but just from my initial thoughts,
(28:01):
I'm assuming that has a lot to do with it.
Speaker 4 (28:05):
That's a good answer. We'll give you points for that one.
Speaker 7 (28:08):
Well, go ahead, I mean you do see that, And
like I'll use Ghostbusters as a common movie that everybody knows.
Speaker 8 (28:16):
But the fact was.
Speaker 7 (28:17):
Is they got thrown out of college because they were
because people in the area noticed what they were doing.
Speaker 8 (28:25):
To a degree, the library incident kind of pushed it
over the edge. But there's other movies.
Speaker 7 (28:30):
Where when someone starts to do paranormal investigation or something
like that, Rose Red's and other movie Stephen King. I
know they're written novel and whatever, but it shows how
them believing in something that the rest of the tenured
academia say, oh no, you can't do that they either
shut up or they think. Yeah, So it is important
to walk the line. And I'm glad that you're able
(28:52):
to do that because that way because the key thing
is is in any of this is research doesn't pay cash.
Speaker 8 (28:58):
You need to have a job, you know.
Speaker 4 (29:02):
Yeah, we'd love to be doing this full time, but
that doesn't exist yet. All right, before we jump into
more questions, we're gonna take our break here, folks. You're
listening to the Sasquatch Experience. Sean Forker, Matt Arnoer, James
Baker Vance and has been our guest Tonight Terrestrial. We'll
be back right after this stay tuned fun show we're
having the night here. We'll be right back with Vance
(29:23):
and the Big Football Worn.
Speaker 3 (29:25):
News team assemboy.
Speaker 5 (29:34):
I think that's why you have so many bigfoot sightings here.
Speaker 4 (29:39):
Good wee people. I think I see bigfoot dude.
Speaker 5 (29:44):
That's a mailbox Because we're downtown. You don't come here.
Speaker 2 (29:48):
Ah.
Speaker 1 (29:49):
Yes, anybody have a big foot costume that can put
over a mailbox, I'll give you five bucks. How about
that We'll show them. Well. Happy even to you all.
I hope you're all surviving the summer swelter and storms.
We certainly had our sheriff storms last night. I think
I'm the only one that still has power on lucky me.
(30:12):
You know, the last time we talked, I mentioned to
you I was doing some research and didn't find any
bigfoot reports for the month of July of this year. Well,
that seems to have changed. And here is a quoted
report to the BFRO by a witness who stated the following.
(30:34):
I was on vacation and just got back yesterday, July
twenty third of twenty twenty five. When this happened. We
rented a cabin outside of Gallenburg, Tennessee. In the hot
tub outside, the woods were silent, then we heard some
tree movement. Me, my wife, and my wife's girlfriend were there. Yes.
(30:59):
Is it wrong for a man and his wife and
girlfriend do share a hot tub? I think not. I
was just looking around the woods and saw what looked
like a black gorilla's head and shoulder stinking out of
the brush about one hundred yards away. The sun was
shining directly on that section of the brush, but it
(31:22):
still looked completely black. I couldn't make out any other
features other than an outline. It did seem like a
fur texture around the edges with a round head. The
blackness of it is what I noticed initially. I stared
at it for a few minutes and thought it looked
like a bigfoot. But I figured I was psyching myself out,
(31:45):
so I intentionally looked away for about a minute, just
staring at the cabin wall. When I looked back, it
was gone. Another minute or two later, we heard trees crackling.
I looked around for about another ten minutes and didn't
see anything else, no other experiences. Why we were there.
(32:07):
Maybe it was a mailbox in the bush that fell over.
Who knows when we come back. Yes, we're gonna promote
it for the last time. Let's go camping.
Speaker 6 (32:22):
You're listening to the big footballhorn right here on the Sasquatch.
Speaker 1 (32:26):
Experience as anybody ever told you. Hey, nice knockers. If not,
just visit got knockers dot org read about the encounter
(32:46):
that kicked this whole thing off. Plus you comparchase one, two,
three or more Tree Knockers. I'm not sure what you
thought we were talking about. Got Knockers has a plethora
of gifts and merchandise too, from awesome apparel, ware, and
even something for the baby. Find jewelry and sausage to
(33:07):
please anyone's taste. Bud stop on buy and give a
hello to Gwendolyn and Michael Perse. Now that you know
where to gets some great knockers. They make fun gifts
or accessories for the squatch bag. Just visit Godknockers dot
org again got knockers dot org. Well, folks were only
(33:49):
four and a half days away from the PA Bigfoot
camping Adventure. It's this Friday and Saturday, August twenty second
and twenty at the Benners Metal Run RV Campground in Farmington, Pennsylvania.
An exciting lineup of speakers out of the sixteen, here's
(34:12):
just naming a few. Ron Moorhead, Sean Forker, Lyle Blackburn,
Stan Gordon Matt Arner, and of course doctor Jeff Meldrum.
They'll be workshops so you can dive into Bigfoot sightings,
evidence and analysis and the science behind the legend. They'll
(34:32):
also be night hikes join a guided search deep into
the woods. Who knows what you might find. They'll be
live music in movies to enjoy entertainment all weekend long.
Plus they'll be vendors and food trucks so that you
can grab some delicious food and shop for unique Bigfoot gear.
(34:54):
Just go to PA Bigfoot Campingadventure dot com. Again PA
Bigfoot Camping Adventure dot Com, thanks again for listening to
this edition of the big Footbullhorn right here on Anomalous
Entertainment's Sasquatch Experience. And of course, as always, until we
(35:18):
meet again, keep your toe in the mind.
Speaker 4 (35:20):
Mind Now, that was really good dvance, well done, well done.
My friend father, yes, and you know he comes with
(35:41):
a mute button, folks, but he doesn't know how to
use it. The bull in the China Shop, James Baker.
Everybody back in the chair, lacking WD forty. But before
we went to the break, we were asking us some
really good questions of our guest Tonight Terrestrial. If you're
just joining us at the midpoint of the show, for
the love of god, hit your mute button, Baker, and uh,
we have I asked for one hour a week. That's
(36:04):
one hour a week. Anyhow, we have trestoral on the
show from the Sasquatch Data Project. We had a great
you know discussion at the beginning, and we're going to
carry on with that. Henry has looks like he left
or hopefully he's okay, Matt Baker, vance any questions before
I move on to the next segment. Yeah, you know what,
(36:25):
Oh go ahead, No, I'm going into that question. You do, Okay.
Speaker 10 (36:32):
So, from what I understand, Thrustol is you're taking data
from the the BFRO sidings. Correct, they're the Class a's.
Have you looked in perhaps started looking at possibly in
putting the information from historical reports like uh, those that
(36:52):
John Green had had written in his book, or even
going back further with some of the some of the
reports before even you know, Bigfoot was in me.
Speaker 6 (37:06):
Yeah, so I actually I actually just got access to
John Green's data SEID the other day. So I'm starting
to look through that and see what I can do
with it and see how I can incorporate it into
the data set that I'm making. The eventual goal of
this is to basically have a massive catalog of reports.
(37:26):
So the bf O is just step one, and you know,
it is just me working on this, so it takes
a while. You know, I'm not manually I'm manually reviewing reports,
but I don't manually input them anymore. I'm using AI
to help me do that. Essentially created this like whole
pipeline that does it for me. But yeah, the the
(37:49):
the eventual goal is to incorporate pretty much as as
many reports as possible, historical, you know, all the way
up to present day. So yeah, I'm starting to go
through John Green's data set and see what that's all about,
which I'm really excited about. And I do have a
few reports from like the North America Wedding Conservancy as
(38:12):
well in the data set. But yes, yeah, let's see
eventual goal.
Speaker 4 (38:17):
Awesome, awesome, Yeah Baker or Vance? What at a time?
Speaker 8 (38:27):
Van Vance is dead? Where did he go?
Speaker 7 (38:33):
Okay, sorry I was a little late to the chair
at some extra problems to deal with. Anyway, First I
want to thank you for answering our questions. And secondly
it is I want to think thank you for trying
to put this data out there, because I think a
lot of times we get do you.
Speaker 8 (38:51):
Do you have trouble producing your data?
Speaker 7 (38:55):
I'm gonna put it this way, getting your data out
because of the latest fake site and the latest problems
we've had that most news that comes out of the
Bigfoot community as fifty percent is bunkable, if we'll call that.
Speaker 6 (39:08):
Yeah, no, I you know, I know just because I'm using, uh,
what the BFO has available. I honestly, I gotta admit,
I don't really keep up with what's you know, the
latest sighting or video is because you know, the majority
of it is just, at least on the video standpoint,
(39:31):
the majority of it it just hoaxes.
Speaker 8 (39:34):
And so I do that's the best answer, because that's
how I feel. I don't look at any of it.
Speaker 6 (39:39):
Yeah, I honestly don't really keep up with it. My
brain is purely on getting through these reports and looking
through the data set, so I don't really let it
influence what I'm doing, honestly, and for me getting this
information out there is I'm just I'm just trying to
present the numbers and then you know, kind of go
(40:01):
from there. I really try to not take any kind
of strong stance on anything. I try to remain very
neutral as unbiased as possible and just kind of say, well,
this is what the data is saying, and you know,
you could take this this way or this way, or
it's something else that we don't know about, but it's
interesting that this is the pattern that we're seeing. Basically,
(40:25):
so I kind of I try to let the numbers
speak for themselves, and you know, people are free to
interpret the results as they will, but I just think
it's really important to do that. I think it's really
important to not really a strong stance. So yeah, I
hope I answered your question.
Speaker 7 (40:43):
No, no, you you you answered. You actually answered a
better question than I asked. Because the fact is.
Speaker 8 (40:50):
That that I think that your your stance on it.
Speaker 7 (40:53):
And the nice thing is is when somebody confronts you
and says, hey, you're just flulllah blah blah blah, You'll
be like, see this big pack of papers, this is
what I started with, this is what I've got and
since you didn't read either one of these, you can
go away.
Speaker 8 (41:07):
That's the positive way to say it.
Speaker 9 (41:09):
I would have maybe added a little extra Urban Dictionary, but.
Speaker 4 (41:12):
Yeah, yeah, you put a lot of truth in there, Baker.
You know, with what you're presenting terrestrial, right, it's unemotional,
it's it's fact from the information you have, right, and
and people have a hard time with that. I'm even
listen going through and looking at some of the comments
you know in the chat room right now, like you know,
(41:34):
someone miffed off about you know, plenty of real video
for your information. Oh, there's not. I have yet to
see something that's compelling enough to say, oh hot, damn,
that's a big foot. Just doesn't It hasn't happened yet.
Speaker 8 (41:47):
But squads of videos are pretty good though.
Speaker 4 (41:49):
Yeah, well, you know, we have a lot of fun
with those AI videos as well. But the reality is
all that stuff's clogging up the pipe. It's the pipe.
And when you can look at it and break it
down and you're just looking at raw data, you know,
this is what it shows. That's a that's a great
starting point or a great just factual point, like you
(42:11):
might feel that way, but this data is a bias,
you know, this is this is telling a different story
than in how you feel, and it's important we get
into that mindset. We're going to keep doing the same
thing that we've been doing for the last sixty years,
which is chasing our perpetual tales and not speaking for
everybody else here. You know, I've had an experience with
(42:34):
something I can't explain that it was really impactful to me.
It was very I don't want to say life changing
because that's super.
Speaker 6 (42:43):
You know, like.
Speaker 4 (42:46):
Dramatic, but it it changed my thought process onto the
subject that brought it into reality for me, but I'm
still very skeptical. I think having an experience of my
own made it worse and van you know it was,
you know really, And I'm bringing back advance back on
vance oaticiting with something he couldn't explain years ago. And
(43:08):
I think that when you have an encounter or you
have an experience with something and there's no definitive to
what you've seen. To me, that's made me a little
bit more hostile to these folks that are adamant, like
I what gives you the right to say that we
don't have anything to base this off of, Like, as
(43:29):
much as we want to say this is real, there's
still no proof positive that it is. Yeah, at least
with the data and the tremendous amounts of it. It
gives us something to lean on and say, well, we
might not have a body, but we do have this,
(43:52):
and thank you for trying to help put that into
a way that's understandable for everybody.
Speaker 8 (43:57):
But anything you make sorry, I didn't mean oh.
Speaker 6 (44:00):
No, sorry, I was just gonna say, like, yeah, that's
kind of the basis of what I guess what I'm
trying to get at is, like we we need to
start using numbers and information and like statistical analysis or
data analysis or whatever as the basis of our ideas
towards the subject instead of the other way around, right like,
(44:21):
just like we need to have something more substantial to
start forming our ideas. And that's what I'm really hoping
to do, Like, I'm really hoping that I can present
this information and that you know, the data set is available,
so you know, people can go through it, you know,
and see what they can find out. But that's you know,
(44:43):
a pretty big reason why I started this was because
I was just I was hearing a lot of ideas
and thoughts and things, but I wasn't seeing a lot
of information to back up statements. So yeah, at least
with at least with the data. You know, it's something, right, it's.
Speaker 7 (45:00):
Yeah, something I wouldn't cheapen what you're doing. And you
did make one valid point, is you saw what you
wanted to know and instead of complaining or crying or
making shit up, sorry, you took the raw data and said, Okay,
does this match my hypothesis? And that's that's the best
kind of science. That's like Sean said earlier, is you know,
(45:23):
I've seen the difference from when he had a sighting
to when he didn't have a sighting, on how he
handles witnesses, how he handles facts, how he handles a
lot of things. I also, I've changed my opinion on
how I feel about whether it's a creature. My opinion
has never varied from it's either completely alive or we've
been wasting seventy five years.
Speaker 8 (45:45):
Do you know what I mean, It's one or the other.
Speaker 7 (45:47):
But when Sean had a sighting, to listen to him
and to see what he did, and to see how
he's changed and how he does things, I believe more
in the possibility of a creature than I did before
for that because I trust in him, and I trust
in what you're saying, because you've got a book that
has the data if I want to look it up
(46:08):
and read it, which you can ask for. Or I
get mad at all kinds of things from the internet,
like they say, blah blah blah this the this guy said,
blah blah blah.
Speaker 8 (46:16):
Okay, where's the quote? Oh, I don't have any shut up?
Speaker 6 (46:20):
Okay, we done.
Speaker 8 (46:22):
But I just wanted I wanted to thank you for
seeing a problem that didn't fit what you needed and
then looking and making sure that the evidence fit it,
not that you fit it to the evidence.
Speaker 6 (46:36):
Yeah, I'm happy, happy to very happy to do that
because I just like I respect for that.
Speaker 7 (46:43):
I'm not you know, that's I wish I saw more
of it in the community.
Speaker 6 (46:49):
I really appreciate that because it's definitely definitely needed. We
need more of this, and you know, I just I
hope to help in any way that I can, like
just make more accessible or make it easier to interpret
or whatever. Like, I'm always happy to answer data questions
and stuff too, if people ever have them, Like, I'm
always happy to go dig through the data sent and
(47:10):
see what comes up. But yeah, I really really hope
that that's what I'm put out there at least, is
that kind of thinking.
Speaker 10 (47:19):
Yeah, well, you know what I have. I have a
question here, and I'm going to kind of take this
conversation or a whole new area here. We've been talking
a lot about data. We've been talking a lot about
you know, going through it and you know, analyzing it.
(47:39):
Let's talk about something completely different. Have you had any
experiences and have you done any field research. Have you
been out in the in the field and tell us
about it.
Speaker 6 (47:50):
Yeah, so I would say, I the field work is
something that I really want to get into. I just
haven't had really an opportunity. I will say though, that
my my parents own a farm in Georgia, and every
time we go back to visit, I'm basically in the woods,
like twenty four to seven. Because I have had some
(48:12):
weird things happen there. I can't definitively say that it
was you know, the experiences were due to sasquatches, but
also I have no idea, you know, what it was.
Everything was auditory. My dad did see a big, a
big dude though, running out of our barn once, so
that was interesting. But you know, he can't he can't
(48:36):
say for sure that it was a sasquatch. But you know,
we've had We've had some weird stuff. Probably the weirdest
thing that I've had happen is I woke up one
night and I heard what sounded. The only way I
can describe it is like it was a super demented turkey,
(48:56):
Like I know, that's so weird, but it sounded like
a really demented turkey gobble with like a horse snort
at the end of it. It was so bizarre. And
along with this, I heard very distinctive bipedal running in
the woods, just back and forth in the woodline, and
I'm hearing this through my wall and I'm like, I
(49:20):
don't know what this is. I'm looking out my window.
I can't see anything. My dogs are totally silent, which
was weird. And it was just a very odd experience.
And that went on for roughly like five to seven
minutes and then it just stopped. Never heard it again.
Oh wow, So it's just like very weird like auditory stuff.
But again I can't I cannot at all say that
(49:42):
that was the product of a sasquatch. But yeah, so.
Speaker 1 (49:48):
Yeah, I was trying to get out to the I
would ask one question, how many.
Speaker 5 (49:53):
Dogs were there involved two?
Speaker 6 (49:58):
I had two outside dogs that barked at everything. And
I remember sitting there thinking, this is so weird that
they're not barking because they always bark. And then it
turns out that that's, you know, that's something I keep
up with in the data set. That's pretty common. Well,
I hesitate to say common. It shows up more than
(50:19):
you would think, especially in the Class A sightings. So yeah,
I think.
Speaker 10 (50:25):
We've had discussions in the past about how animals react
to different sightings, and I think that that's something that's
interesting to put in the data as well. You get
some dogs at that'll hel and you know, go running
off and try to attack whatever's out there. You get
other ones that big mean, you know, dogs that come
(50:50):
running back with their tail between their legs, And I
do think that that's possibly an important piece of data
that could be included as well.
Speaker 6 (51:00):
Yeah, it's definitely something that I'm keeping up with. I
have calls for it in the data set, you know,
I just haven't run numbers on it. I should do
that though, I probably have enough a large enough sample
size at this point to look into that. Yeah, I
can do that. I can run some numbers.
Speaker 10 (51:18):
So so one last question about the field research. With
everything that you know from the data, when would you
think the best time of year to be out in
the field doing research would be?
Speaker 6 (51:32):
Yeah, So that question gets tricky because when we're looking
at these patterns in the data, it's difficult to say
if the patterns are due to you know, ecological reasons
or a biological reason, or if it's due to you know,
human patterns. So in the data set, there is an
(51:53):
overwhelming majority of summer and fall class A sightings. And
you know, as we know, this up really well with
when humans are getting out you know outside, they're camping,
they're hiking more, and they're hunting, especially in the fall. Actually,
just read a paper the other day that like this
you would think be intuitive, but you know, there's got
(52:14):
to be a paper on it. You know, humans are
more likely to be in remote places, they go further
out into remote places during the fall versus any other
time of the year, you know, because they're hunting and
they're camping and whatever. So it's hard to say when
the best time is. I will say there's a pretty
(52:35):
large lack of sightings in the springtime, which is odd
when you're looking at things from like a an animal
kind of perspective, because usually they're you know, recovering from
winter and they're foraging and they're out and about. So
that's kind of interesting in itself and almost more interesting
to me than the big spike that we have in
the summer fall. So yeah, it gets it gets hard.
(52:59):
It gets hard to say like when the best time
to go is, because we don't know if these patterns
are due to you know the animals themselves or due
to people.
Speaker 10 (53:12):
And Sean.
Speaker 4 (53:15):
We do have a couple of questions from Scott on
the from our patreon. Scott asks, what are key data
points that researchers and investigators should gather related to settings
or encounters that would help build better databases of information.
That's one question.
Speaker 6 (53:33):
So definitely if if you can get a complete date
for the encounter, that's super helpful. We can derive a
lot of information from that, and particularly like environmental information
lat moms are super helpful, and I think too if
we can consistently gather data as well on like the
(53:56):
witnesses occupation, how comfortable they are in the woods as well.
Those are two things that I've been looking into recently
that' kind of piqued my interest to see if there's,
you know, are there any inherent differences between the sightings
from people who are highly experienced in the woods versus
those who are not things like that. So I would
(54:20):
say the probably those four things, And it really depends
on your research question too, Like it depends on what
you're wanting to know, because like the STATA set's never ending,
and I'm like I'm trying to keep up with so
many variables and I just want to know everything about
all of them, so it's hard for me to really
(54:41):
pinpoint like what to tell people to ask. So I
do think to a certain extent it does come down to,
you know, personal preference of what you're wanting to get
out of the experience. But yeah, I hope that answers
a little bit.
Speaker 4 (55:01):
And then a second question, and what ways do you
feel the use of AI is beneficial to the Bigfoot
community and where is it detrimental?
Speaker 6 (55:10):
Yeah, so AI has actually been something I'm really interested in,
very interested in AI and how to apply it to
not only use tasquatch research, but just in general. I
actually have a few videos on YouTube about this as well.
How we can be applying it, how we shouldn't be
applying it, which is almost more important than like how
(55:30):
to apply it. The ways that I think it's going
to be very beneficial is in its ability to kind
of just make our make our work processes more efficient.
So there's a couple of apps that I really like
to use that are like text to speech and they
also automatically grab like location data and time and like
(55:54):
timestamps and whatnot. And you know, it obviously makes going
through texts a lot easier if you know how to
kind of mess with it, and it can really grab
out information very well from text, especially depending on the
model that you're using, you know, because different models are
optimized for different things. Things we should not be using
(56:17):
AI for is data analysis. We shouldn't be sending raw
data right like through AI. And that's something that I'm
starting to see and it's making me nervous because, like,
at the end of the day, the thing that we
call AI or just large language models, they're just text
predators and so they can barely count like how many
(56:43):
a's are in a word or whatever. Like if you
ask it to count something, it's usually wrong. So you know,
asking it to do data analysis is just going to
be detrimental. Also, asking it to identify patterns in data,
it's not very good at that either. So you know,
things like that I think we need to be really
(57:05):
careful about. But for the most part, it should just
be a tool and the tool belt. You know, it
shouldn't be driving our research and doing our research for us,
but it should be a supplement. I personally think, yeah,
that's a really good question. I could go on about
AI forever because I love it and I'm like really
getting into like how to how to do like AI
(57:27):
engineering and stuff like that.
Speaker 4 (57:29):
M gentlemen, any final thoughts or questions for Trestrial?
Speaker 10 (57:40):
I was gonna say, we have, between Shan and I,
we have a lot of witness reports. You know that
would be a class A that may be usable for
for the data set? Is that something that we could
email to you? Uh, the information? And what format to
(58:04):
you generally like to take that? Is it you know
in Excel or or how Yeah?
Speaker 6 (58:09):
So basically how I have things set up now my
program that I have honestly a text file of the
entire report for each report is the best. It depends
on how how you haven't set up as is. But
basically how my program runs is I just send in
a report and it extracts, okay, all the information. So
(58:32):
we can definitely chat about that.
Speaker 4 (58:36):
We do have one question that's sneaked in from our
executive producer, Brian Corbin. So we have to ask this question,
and the question is can Terrestrial discuss what project she
has that works with Darby Orchid at North Carolina State.
Speaker 6 (58:54):
I don't think I'm at liberty just say quite yet,
but yeah, maybe in another month or two I need
to chat with him.
Speaker 4 (59:09):
Very good, Tresture, Thank you so much for spending some
time with us before you head out. Where can folks
find out more about the Sasquatch Data Project and perhaps yourself?
Speaker 6 (59:18):
Yeah, so I post the most on Instagram. My handle
there is just at Sasquatch Data. It's actually my handle
on everything is just at Sasquatch Data. But yeah, I'm
on Instagram, Facebook, TikTok, YouTube, all that fun stuff. I
try to post on YouTube like at least once a month,
but on all my other channels I try to post
weekly with data investigations and updates. You can also check
(59:41):
out my research at Sasquatch Data Project dot com and
if you want to reach out, my email is contact
at Sasquatch Data Project dot com.
Speaker 4 (59:50):
Very good, very good, Thanks so much for spending some
time with us, folks, you much, Thank you so much. Folks,
you've been listening to the Sasquatch experience here on Anomalous
Entertainment on YouTube, Facebook, wherever you stream us like Lee,
like us, subscribe to us if you want. I can't
say it's that great to subscribe us all the time.
(01:00:11):
But also rate us and review us. That's very important
for us to get that feedback. And on that note, folks,
thank you. We'll see you in two weeks. And for
those of you that are going to join us at
the Pennsylvania Camping Adventure, we look forward to hanging out
with you. Thank you again. And hey, one more thing,
Squatch out hunger folks, Sasquatch Experience dot com. Click on
(01:00:31):
the banner, help us feed some people and we'll see
you next time. You've been listening to The Sasquatch Experience.
Please rate and review wherever this podcast is consumed. For
more information, please go to our website, Sasquatch Experience dot com.
(01:01:06):
Keep on watching
Views and opinions expressed by the guests that Sasquatch Experience
do not necessarily reflect the opinion of the host, sponsors,
or affiliates of the Sasquatch Experience. As always, listener discretion
is advised.
Speaker 2 (00:18):
We got some one or something crawling around out here,
and see what it was?
Speaker 1 (00:24):
Was it a person or an animal.
Speaker 2 (00:26):
Or I can't know. All I know that my underway
came on and I get happened to Glenn and be
the thing running across the head good bye man or something.
Speaker 3 (00:34):
To look by the men.
Speaker 2 (00:35):
I don't know what it was.
Speaker 4 (00:40):
Back in two thousand and five, we set out with
one goal to give voice to the mystery and those
who pursue it. Sasquatch Experience podcast has been your go
to source for serious Bigfoot discussion, where we separate fact
from folklore. Always grounded in research and respect. We've interviewed eyewitnesses,
experts since Skeptic to Like because understanding Bigfoot isn't just
(01:02):
about belief, It's about the journey. Nearly two decades later,
we're still chasing shadows and sharing stories. The search never stopped.
Welcome to the Sasquatch Experience.
Speaker 2 (01:23):
Hello, Get somebody out.
Speaker 3 (01:26):
Here, and here we go.
Speaker 4 (01:38):
Welcome to the Sasquatch Experience, everybody, Monday, August eighteenth, twenty
twenty five. And what a great show we have for
you all tonight. We've got a full house here as
you can see down at the bottom. James Baker, vance
Nesbitt our guest tonight, Terrestrial Henry May and Matt Arner
from the Allegheny Plateau Project. Great show we're going to have.
(02:00):
But before we kick off, just a couple of housekeeping notes.
This weekend, Friday through Sunday is the twenty twenty five
Pennsylvania Bigfoot Camping Adventure. Myself, Matt and James Baker. We're
going to be there sponsoring doctor Jeff Meldrum, all representing
Sasquatch Experience, and we'll be speaking at ten am on Saturday.
(02:20):
So show up with your selected produce, which, by the way,
if you're going to throw anything, make sure it's good
so we can collect it. Or Squatch out Hunger, folks,
Squatch out Hunger. We still need your help. We've kind
of stalled in donations. We've got a lofty goal at
twelve hundred and fifty bucks. We need you, so take
a minute if you have the time. If you're so inclined,
go to the website click on the banner to take
(02:42):
you to Squatch out Hunger. It's a goal, that's it's
a I don't even want to say it's a goal.
It's a cause that's really important to us here at
Sasquatch Experience. We do it every year. Help care about
our neighbors a little bit and raise some money to
take care of some folks in need. Every dollar equals
ten meals through their formulations, so just remember that every
(03:02):
dollar you donates helping to give ten meals to folks
in needs. To go ahead and Sasquatch Experience dot com
click on the banner for Squatch out Hunger. We need
your help on that and for our patreons, which folks
you guys, we don't need to remind you, but in
case you're do, you can join for as little as
get the fingers up boys two dollars a month. We
(03:24):
missed our watch along last night because somebody took an
unplanned early nap, so because of that we'll we spend there,
of course rescheduling our watch along for another date. So
you know, as aside from the watch along once again,
I offer my sincerest apologies.
Speaker 5 (03:43):
For that.
Speaker 4 (03:43):
As little as two bucks a month, you get ad
free shows. Mostly you get episodes of Cryptic Wilderness featuring
Matt Arner and myself down there at times Baker's Hot Takes,
which you really don't want to miss. And then the
Sasquatch Experiences little short form podcasts where I go over
some recent sightings and share them with you. So that's
(04:04):
all I got for the news. Anything else from you
guys before we kick off and I give our intro
and we start the show thinking off, all right, guys,
we've all been excited about this one, okay, ever since
I stumbled upon the Sasquatch Data Project and some of
the really great, you know, informational slides that she's put
(04:29):
out there on Instagram. Terrestrial is the creator of the
Sasquatch Data Project, an ongoing effort to provide researchers with
Sasquatch report data and a format optimized for data analysis.
She has a Bachelor of Science and Earth and Atmospheric
Sciences from the Georgia Institute of Technology, and while in attendance,
she played an integral role in categorizing, identifying, and measuring
(04:51):
ground ice features on the Dwarf Planet series as part
of NASA's don mission. In twenty twenty three, she began
to development of the Sasquatch Data Project's data set. Her
work primarily focuses on the application of statistical and NASA
on reported sasquatch encounters, with particular emphasis of the regional
(05:12):
variation of behavioral and morphological patterns of reported sasquatches, as
well as investigating witness psychological responses and summing that up.
We're just so pleased to have you on the show, Terrestrial.
Thanks for joining us and putting up with us so
far for about fifteen minutes.
Speaker 6 (05:28):
Yeah, thank you so much for having me. I'm like,
I'm always down to nerd out about data and sasquatch,
so I'm really excited.
Speaker 4 (05:38):
Well, you've put together some really great, you know pieces
of you know, visual representation of that data. I know
you look, you put out some yesterday the day before
that were really great where folks can go to Instagram
and check that out. I guess the first question I
have is why sasquatch? How did you get involved in
the sasquatch mystery.
Speaker 6 (05:59):
Yeah, I've had like kind of a winding path to
end up creating the Sasquatch Data Project. But really it
all started when I was about five. I saw Sasquatch
legend meete science for the first time, and that's where
I saw the Patterson Gimblin film, and like, I just
remember seeing that footage in my brain just kind of exploded.
(06:22):
I was like, this is the craziest thing I've ever seen,
and I'm also terrified. So but that kind of like
that kind of I guess planted the seed for me.
And I had always been really interested and you know,
read what I could. And then honestly, when Finding Bigfoot
came out, I was like in middle school and it
(06:44):
was the first time I realized that people were really
like actually devoting their time and energy into researching this subject.
But at the time I didn't really like realize that
I could do that in an academic setting or in
like scientific way. So then NASA became goal and that
was kind of it until I graduated college, and then
(07:06):
I just landed at doing this. I just realized, like,
my passion is researching sasquatch, and you know, I love
data analysis, I love data science. So this is my take,
I guess on researching this subject.
Speaker 4 (07:25):
What was really attractive about what you were doing is
that in twenty twelve we started something up here in
Pennsylvania called the Keystone Bigfoot Project, and our whole purpose
was to take all this citing data and put it
into some sort of like you did, visual representation, and
so we could go back and look at it historically,
(07:45):
so see if we could take this data and align
it to some sort of pattern that we could where
could we go and best deploy ourselves in the future
based upon patterns of the past, right, And it was
quite the mind you menus feet, and none of us
had the education to do that. I mean, I'm what
you're doing is rather amazing, and what you've done so
(08:06):
far is rather amazing. There's a train come through. And
so that was back in twenty twelve. We started that,
and we tried to do that. We gave about probably
about twenty fifteen. We utilized Google Earth as an overlay
and just kind of, you know, tried to plot it
that way. But tell us about how you started the
(08:27):
data project, what was the idea behind it, and how
did it get going.
Speaker 6 (08:34):
Yeah, so I guess the whole idea got started because
I had heard. I've always heard folks say like particular
things that sasquatches do, or you know, different characteristics that
they say that they have, but then there were never
numbers or any kind of you know, substance behind the
(08:56):
statements that people were making. But the thing that really
made me start this project was I heard someone say
that sasquatches are more active under a full moon, and
I was like, well, you know, as far as I know,
no one's actually run the numbers on that, like taking
a large amount of data and actually seeing if that's true.
So I got started by just with that question in mind,
(09:17):
and I just started going through the FRORO reports by
hand and making my spreadsheet. And at that time, you know,
the data set was pretty small. I probably started off
with about thirty columns and I've grown it to over
one hundred and eighty now and I've gone through I
think like twenty six hundred and fifty nine reports so far,
(09:40):
so I'm pretty pretty deep. But that was the initial
question that got me interested and was like, Okay, I've
got to take this idea that I've been sitting on
and just do it, Like now's the time.
Speaker 4 (09:54):
So what have you found out as an answer to
that question, so far.
Speaker 6 (09:59):
So far I found out. So something that I like
to I like to say right off the bat too,
is when we're taking when we're looking at this data,
we can make commentary on how reports are basically stated, Like,
you know, we really can't make statements regarding sasquatch behaviors
(10:20):
or like their migration habits or anything like that, Like
we have to look at it from a totally unbiased view.
So I can't say if they're more active under full
moon conditions. But I have found that in the data
that there are more sighting reports in the upper levels
(10:42):
of the mood illumination, so greater than are equal to
eighty percent, And that difference, like that increase in citing
frequency is statistically significant if you're comparing it to the
middle values. So that's pretty interesting in itself. We also
see an increase when you are looking at illuminations over
fifty percent as well. You know why that is, I
(11:04):
don't know, we can speculate, you know, from both an
ecological and more humanistic side of things, but it is
interesting that we do see that, at least so far
in the data.
Speaker 4 (11:18):
Right now, the only thing and I'm sure, you would
probably agree with this is the problem with data up
to the person reporting it to be as accurate as possible,
and I at times, you know, given the length of
time we've investigated it, is that what they remember may
(11:40):
not always be accurate. So one of the things that
we've tried to do is, you know, go to resources
when we've gone out and investigated.
Speaker 3 (11:49):
Matt and I.
Speaker 4 (11:49):
Let's say we went out and talked to an investigator
on Tuesday or a witness on Tuesday, they had a sighting,
they remember the moon being at one stage, we can
go and look and say, well, you know, unfortunately you
might remember it that way. That's just not the case.
And that's always a problem I had with some of
this is that folks reporting the data, there's always a
(12:09):
lot of room for human error.
Speaker 2 (12:11):
Right.
Speaker 4 (12:11):
We could do our due diligence and go and correct that,
but if it's not caught, you know, it could skew it.
And I think that's that's a problem with data. But
I mean, have you gone and done any of that
checking yourself when you're going through and looking at these reports,
I mean sometimes you're getting very vague statements of those reports.
Speaker 6 (12:29):
Yeah, I mean I only so when I run any
kind of data analysis or statistical analysis, I only use
it when I have complete data, Like I don't. I
don't really use Class B sightings or class sidings. I'm
only using Class A sightings really for majority of my analysis.
And you know, in particular, when we're talking about mud illuminations,
(12:49):
I'm only using reports that have a complete date so
that I can go and calculate the muon illumination percentage myself.
I don't rely on the information in the report. So
I am very careful with the data that I am using,
because you know, there is a lot of noise, especially
(13:10):
when you start introducing Class B reports and things like that.
But there's also different corrections and stuff that you can
do when you're running these numbers to make sure that
the signals that you are seeing are you know, not
the result of like a false positive or something with
the statistical testing. So you know, there's ways around it,
(13:33):
and I try to be as careful as you possibly
can and only use like the highest quality reports basically.
But yeah, it really just depends on my question too
of what I'm wanting to know.
Speaker 7 (13:44):
I had I had a question, so well, actually it's
a two part question. One is how many reports did
you use and how many reports did you disregard because
they weren't a.
Speaker 6 (13:58):
So right now for that particular analysis or just in general.
Speaker 8 (14:04):
Okay, you could pick an analysis or in general.
Speaker 7 (14:07):
I'm just trying to get to say what the percentage
between an A and a D is, you know what
I mean?
Speaker 4 (14:12):
Like that what you've acquired.
Speaker 6 (14:13):
So right now on the data set, there are one
hundred and ninety two Class A reports, There's one thousand,
one hundred and eighty three Class B reports, and then
there's eighteen Class C reports, So it's kind of half
and half right now. And then obviously two like those reports, aren't.
Speaker 2 (14:35):
You know?
Speaker 6 (14:35):
The they don't always have complete data for like everything
that I'm looking for the majority of them don't have
complete data, which is totally fine. But yeah, so that.
Speaker 7 (14:46):
Makes sense because you didn't ask the questions to get
not to get the answers you wanted, but to get
the field that you needed to fill in. It's kind
of like if I if me at Forker asked questions
for what we'd like to know, compared you coming in
and asking questions our questions might like Mike might aligne.
Speaker 8 (15:05):
But some of your.
Speaker 7 (15:06):
Questions you'd be like, oh, man, I wish they would
have asked it. They were from Tulsa, you know what
I mean? Because it was important to what I needed.
Speaker 8 (15:13):
To know about Tulsa.
Speaker 2 (15:15):
You know.
Speaker 4 (15:19):
Yeah, No, Beck, you make a great point there, and
I you know, over the years where we've done this,
there are times Treasure where Baker's given me a public
spanking because I'd asked a question that was uh or
I didn't ask enough questions. Wouldn't you agree, Bake? Was
that was at it? I didn't ask enough. I didn't
go deeper it to go over your.
Speaker 9 (15:39):
Information with somebody else. That's why partnerships are good, because
then you can say, okay, hey, I have a eleven
hundred Class A ones, and of them fifty percent or
seventy five percent of them asked an important question to me. Okay,
and then you have a reference and somebody else is
gonna go, yeah, but they asked this question that you
(15:59):
missed that reference back to that and you're like, oh, yeah, Ship,
I can reduce paper.
Speaker 4 (16:04):
Yeah, go ahead.
Speaker 10 (16:10):
And Matt, So this is actually a follow up to
James's question for you working in the data field, what
is it that you'd like us as researcher says people
doing the interviews, what sort of information is most important
for your data collection?
Speaker 6 (16:30):
That's a great question, you know. I was actually just
talking to someone the other day too, who is asking
the same thing, like what what uh fields are useful?
Speaker 8 (16:41):
Oh?
Speaker 4 (16:42):
Oh no, you lost her?
Speaker 8 (16:45):
They got rid of her. Tell them to bring her back. Sorry, hello, sorry,
give me up?
Speaker 4 (16:58):
Go ahead.
Speaker 6 (17:00):
So yeah, that's a that's a really great question. When
I am looking at witness reports, honestly, the first thing
I look for is a complete date, so like a
specific date that the encounter happened, because we can derive
a lot of information from that, including like extremely comprehensive
weather data. Obviously we can calculate a moon illumination percentage
(17:22):
and other things as well, like we can potentially use
it for like macent modeling or whatever or not maxcent modeling.
That's lat Loan. A lot of too longitude is my
next thing. My brain was thinking ahead. That's the next
thing that I look for is a lot of two longitude
because we can also drive a lot of information from
that too. But when it comes to like physical descriptions,
(17:44):
that's something that I'm particularly interested in, especially when we're
looking at things on a regional scale. I'm really interested
in like the hair condition, where they maddie or matted
like shaggy nasty, or were they like pretty clean, because
potentially it could tell us about their social dynamics. We
(18:05):
see this and the other great apes things that I
look for are like progmatism, like does their job protrude
from their face or do they have you know, was
it a flat face? You know. I have like a
worksheet I would be happy to send you to that
has basically every column in my data set like spelled
(18:26):
out for it, specifically for people who are doing like
witness follow up interviews that kind of give you an
idea of some things to ask.
Speaker 10 (18:35):
We would we would definitely appreciate that.
Speaker 4 (18:38):
Oh yeah, yeah.
Speaker 6 (18:39):
Yeah, I can definitely send that over. But like I said,
I have like one hundred and eighty columns that I'm
trying to fill out in the spreadsheet for every single report,
So anything related to you know, the environmental, behavioral or
physical traits of sasquatches, like I'm interested in the goal
is to have a column for kind of everything. If
(18:59):
you can ask a question about the report, Like, I
want to have information easily accessible that you can go
and grab from the data set. But yeah, really, really,
the things that are missing that I wish I had
more of is definitely the lat Moan data and then
like a complete date of the encounter, but I know
that's not always possible to get.
Speaker 4 (19:25):
Henry, You're up next.
Speaker 8 (19:26):
You had a question, Yes, I wanted to ask what
sort of patterns do you look for? Do you look
for patterns in the reports that you've collected?
Speaker 6 (19:37):
Yeah, So when it comes to the patterns, I always
have a pre defined question of what I'm asking. I'm
not necessarily looking to answer my questions a certain way.
I just I'll think of something. So like one of
my one of my favorite things that I've looked into
(19:57):
is this relationship between a witness's fear level during the
encounter and the associated estimated height of the sasquatch. So
that was my question because I hear quite often, like
you know, people who are more freaked out, they might
think it's bigger than it actually is, and this is
a very well documented documented psychological phenomenon. So I was like, well,
(20:20):
you know, we could potentially see that in witness reports.
So that's my question. My question is how does or
does the estimated heights of the sasquatch change if you
introduce witness fear levels into things and it turns out
it does. So like I love looking at things like
(20:41):
that that are kind of it doesn't really matter if
the witness is accurate or not in the height estimate,
like in that case, it doesn't only matter if you know,
they said it was eight feet but it was actually
only six and a half feet tall or something. It's
more about just the general change in the data, if
that makes sense. So I love looking for patterns like
that where it would be extremely difficult to hoax, especially
(21:05):
over decades and a large geographic span. And I love
looking at I don't know, just kind of like a
backdoor way into investigating witness reports that might not be
you know, I have a forefront of people's minds.
Speaker 4 (21:25):
Interesting. Oh that's very interesting. I like the purpose behind that.
Terrorized by a four foot tall sasquatch. You know, it
was horrifying. Scare the crap out of me. Hey they're
out there, folks. They start out as baby somewhere right
or the Alba twitch. You got to get a lot
of Alba twitches. Would you have a question in the
chat from Scott Dieter. Lee are a good friend Scott,
(21:48):
and it was to the entire group, but we'll let
Trash will go first. Do you think that the community
could standardize some sort of interview data gathering protocol?
Speaker 6 (21:58):
I think it would be extremely been official because purely
from like a scientific standpoint, having standardization is essential to
any kind of investigation, like making sure you know everyone's asking.
In an ideal world, everyone would ask the same exact
(22:19):
questions in the same exact way, in the same order.
I recognize though that that's not possible really, but we
would definitely definitely benefit from something like that so that
we could make sure that we're extracting as much information
as we possibly can from the witness interviews.
Speaker 7 (22:40):
Yeah, hmm, right.
Speaker 4 (22:45):
I think you have to leave the opportunity for them.
You know, the human aspect of it too. There's you
don't want it to be an interrogation. You want it
to be an interview, right, And sometimes as you're asking
a hell of a lot of questions, that seems more,
you know, of an interrogation then it does an interview.
But if you can answer a lot of the same question.
(23:06):
You know, a lot of the same You can answer
a lot of the questions with a question. It makes
a difference. I think one of the things that it helps, though,
is eliminate leading questions and takes that bias out of
the investigator and puts, like you said, a standard operating
you know, form or data set that you can ask
questions that aren't going to be leading, and you take
(23:28):
a lot.
Speaker 2 (23:29):
Of that.
Speaker 4 (23:31):
I don't want to say guests work. If you take
a lot of that bias out of the equation then
and I think that's really important. Researchers still understand the
power they have in forcing questions out of witnesses or
forcing answers out of witnesses unintentionally, that you're goading them
(23:53):
along and you're you're setting them up. You're not really
helping them give you a true recollection of what they encountered.
It's problematic. I guess my question would be everybody still alive?
Speaker 5 (24:10):
Yeah, we're still alive. I guess my question would be,
thanks man, some of one to ten? Where do you
believe this entity actually exists?
Speaker 4 (24:27):
Like?
Speaker 6 (24:28):
Where?
Speaker 8 (24:29):
Wait?
Speaker 6 (24:29):
Can you say that again? Did you say where they exist?
Speaker 4 (24:33):
Well?
Speaker 5 (24:33):
No, let me. Let me rephrase that on a scale
of one to ten, ten being the greatest, do you
believe that this entity actually exists?
Speaker 6 (24:46):
Oh, actually exists? Sorry, I would say I'm at like
a nine point nine at this point. Awesome, Like yeah,
and doing the data project too is just kind of
pushed me further up the scale as well. Like the
more that I see, the more non random patterns that
(25:07):
I see, the more I'm convinced, especially when you start
recognizing too that some of these patterns mirror known you know,
nocturnal predator behaviors, or they mirror like known great behavior
or you know, anything like that. So yeah, definitely obviously
(25:28):
like seeing one would push me over into a tend.
But the more I look at the data, the more
that I just keep asking questions and keep digging, and
the more I learn it.
Speaker 5 (25:41):
Just I'm just I'm right there, you know, because I
am a lot of people that ask me. They know
that I'm into this field, and they ask me that
same question, and I say, yeah, I definitely believe that
there is this entity that does exist, but I'm not
(26:02):
one hundred percent, So I'm kind of running right alongside
of you with that same analytical belief that, Yeah, I'm
not one hundred percent, but boy, I'm kind of close
to it.
Speaker 4 (26:18):
Well, And I think I'm going to piggyback off you
there for a for a minute advance and go into
another question in terrestrial is you're nine point nine, you know,
a nine point nine on that scale of one to ten,
and you're pretty you know, you did work with NASA.
To me, that's that's pretty scientific. It doesn't get much
more scientific than that. Why do you think science has
(26:41):
a soul has a problem with Bigfoot?
Speaker 6 (26:46):
You know, that's a really good question. I think it's
partly due to the stigma. I mean, obviously there's a
stigma around it, and there's it's kind of wild because
there's even a stigma around just bringing it up as
a question, like within academia. It's definitely people instantly kind
(27:09):
of write you off. For the most part, I think
it's just how it's been handled through the decades.
Speaker 8 (27:16):
You know.
Speaker 6 (27:16):
Personally, I think part of it is due to how
the media handled it and how it kind of how
they kind of shaped society to see the subject as
a whole or to see, yeah, to see the subject
as a whole throughout the decades and whatnot. But I
just think that too. There's a lot of funding on
the line, so people are scared to get their funding
(27:37):
taken away. There. You know, your reputation is very important
in academia and the projects that your on are very important.
So you want people to continue to want to work
with you, and you need again funding. That's a big
part of things. Yeah, I think you know. Obviously I
don't know for sure, but just from my initial thoughts,
(28:01):
I'm assuming that has a lot to do with it.
Speaker 4 (28:05):
That's a good answer. We'll give you points for that one.
Speaker 7 (28:08):
Well, go ahead, I mean you do see that, And
like I'll use Ghostbusters as a common movie that everybody knows.
Speaker 8 (28:16):
But the fact was.
Speaker 7 (28:17):
Is they got thrown out of college because they were
because people in the area noticed what they were doing.
Speaker 8 (28:25):
To a degree, the library incident kind of pushed it
over the edge. But there's other movies.
Speaker 7 (28:30):
Where when someone starts to do paranormal investigation or something
like that, Rose Red's and other movie Stephen King. I
know they're written novel and whatever, but it shows how
them believing in something that the rest of the tenured
academia say, oh no, you can't do that they either
shut up or they think. Yeah, So it is important
to walk the line. And I'm glad that you're able
(28:52):
to do that because that way because the key thing
is is in any of this is research doesn't pay cash.
Speaker 8 (28:58):
You need to have a job, you know.
Speaker 4 (29:02):
Yeah, we'd love to be doing this full time, but
that doesn't exist yet. All right, before we jump into
more questions, we're gonna take our break here, folks. You're
listening to the Sasquatch Experience. Sean Forker, Matt Arnoer, James
Baker Vance and has been our guest Tonight Terrestrial. We'll
be back right after this stay tuned fun show we're
having the night here. We'll be right back with Vance
(29:23):
and the Big Football Worn.
Speaker 3 (29:25):
News team assemboy.
Speaker 5 (29:34):
I think that's why you have so many bigfoot sightings here.
Speaker 4 (29:39):
Good wee people. I think I see bigfoot dude.
Speaker 5 (29:44):
That's a mailbox Because we're downtown. You don't come here.
Speaker 2 (29:48):
Ah.
Speaker 1 (29:49):
Yes, anybody have a big foot costume that can put
over a mailbox, I'll give you five bucks. How about
that We'll show them. Well. Happy even to you all.
I hope you're all surviving the summer swelter and storms.
We certainly had our sheriff storms last night. I think
I'm the only one that still has power on lucky me.
(30:12):
You know, the last time we talked, I mentioned to
you I was doing some research and didn't find any
bigfoot reports for the month of July of this year. Well,
that seems to have changed. And here is a quoted
report to the BFRO by a witness who stated the following.
(30:34):
I was on vacation and just got back yesterday, July
twenty third of twenty twenty five. When this happened. We
rented a cabin outside of Gallenburg, Tennessee. In the hot
tub outside, the woods were silent, then we heard some
tree movement. Me, my wife, and my wife's girlfriend were there. Yes.
(30:59):
Is it wrong for a man and his wife and
girlfriend do share a hot tub? I think not. I
was just looking around the woods and saw what looked
like a black gorilla's head and shoulder stinking out of
the brush about one hundred yards away. The sun was
shining directly on that section of the brush, but it
(31:22):
still looked completely black. I couldn't make out any other
features other than an outline. It did seem like a
fur texture around the edges with a round head. The
blackness of it is what I noticed initially. I stared
at it for a few minutes and thought it looked
like a bigfoot. But I figured I was psyching myself out,
(31:45):
so I intentionally looked away for about a minute, just
staring at the cabin wall. When I looked back, it
was gone. Another minute or two later, we heard trees crackling.
I looked around for about another ten minutes and didn't
see anything else, no other experiences. Why we were there.
(32:07):
Maybe it was a mailbox in the bush that fell over.
Who knows when we come back. Yes, we're gonna promote
it for the last time. Let's go camping.
Speaker 6 (32:22):
You're listening to the big footballhorn right here on the Sasquatch.
Speaker 1 (32:26):
Experience as anybody ever told you. Hey, nice knockers. If not,
just visit got knockers dot org read about the encounter
(32:46):
that kicked this whole thing off. Plus you comparchase one, two,
three or more Tree Knockers. I'm not sure what you
thought we were talking about. Got Knockers has a plethora
of gifts and merchandise too, from awesome apparel, ware, and
even something for the baby. Find jewelry and sausage to
(33:07):
please anyone's taste. Bud stop on buy and give a
hello to Gwendolyn and Michael Perse. Now that you know
where to gets some great knockers. They make fun gifts
or accessories for the squatch bag. Just visit Godknockers dot
org again got knockers dot org. Well, folks were only
(33:49):
four and a half days away from the PA Bigfoot
camping Adventure. It's this Friday and Saturday, August twenty second
and twenty at the Benners Metal Run RV Campground in Farmington, Pennsylvania.
An exciting lineup of speakers out of the sixteen, here's
(34:12):
just naming a few. Ron Moorhead, Sean Forker, Lyle Blackburn,
Stan Gordon Matt Arner, and of course doctor Jeff Meldrum.
They'll be workshops so you can dive into Bigfoot sightings,
evidence and analysis and the science behind the legend. They'll
(34:32):
also be night hikes join a guided search deep into
the woods. Who knows what you might find. They'll be
live music in movies to enjoy entertainment all weekend long.
Plus they'll be vendors and food trucks so that you
can grab some delicious food and shop for unique Bigfoot gear.
(34:54):
Just go to PA Bigfoot Campingadventure dot com. Again PA
Bigfoot Camping Adventure dot Com, thanks again for listening to
this edition of the big Footbullhorn right here on Anomalous
Entertainment's Sasquatch Experience. And of course, as always, until we
(35:18):
meet again, keep your toe in the mind.
Speaker 4 (35:20):
Mind Now, that was really good dvance, well done, well done.
My friend father, yes, and you know he comes with
(35:41):
a mute button, folks, but he doesn't know how to
use it. The bull in the China Shop, James Baker.
Everybody back in the chair, lacking WD forty. But before
we went to the break, we were asking us some
really good questions of our guest Tonight Terrestrial. If you're
just joining us at the midpoint of the show, for
the love of god, hit your mute button, Baker, and uh,
we have I asked for one hour a week. That's
(36:04):
one hour a week. Anyhow, we have trestoral on the
show from the Sasquatch Data Project. We had a great
you know discussion at the beginning, and we're going to
carry on with that. Henry has looks like he left
or hopefully he's okay, Matt Baker, vance any questions before
I move on to the next segment. Yeah, you know what,
(36:25):
Oh go ahead, No, I'm going into that question. You do, Okay.
Speaker 10 (36:32):
So, from what I understand, Thrustol is you're taking data
from the the BFRO sidings. Correct, they're the Class a's.
Have you looked in perhaps started looking at possibly in
putting the information from historical reports like uh, those that
(36:52):
John Green had had written in his book, or even
going back further with some of the some of the
reports before even you know, Bigfoot was in me.
Speaker 6 (37:06):
Yeah, so I actually I actually just got access to
John Green's data SEID the other day. So I'm starting
to look through that and see what I can do
with it and see how I can incorporate it into
the data set that I'm making. The eventual goal of
this is to basically have a massive catalog of reports.
(37:26):
So the bf O is just step one, and you know,
it is just me working on this, so it takes
a while. You know, I'm not manually I'm manually reviewing reports,
but I don't manually input them anymore. I'm using AI
to help me do that. Essentially created this like whole
pipeline that does it for me. But yeah, the the
(37:49):
the eventual goal is to incorporate pretty much as as
many reports as possible, historical, you know, all the way
up to present day. So yeah, I'm starting to go
through John Green's data set and see what that's all about,
which I'm really excited about. And I do have a
few reports from like the North America Wedding Conservancy as
(38:12):
well in the data set. But yes, yeah, let's see
eventual goal.
Speaker 4 (38:17):
Awesome, awesome, Yeah Baker or Vance? What at a time?
Speaker 8 (38:27):
Van Vance is dead? Where did he go?
Speaker 7 (38:33):
Okay, sorry I was a little late to the chair
at some extra problems to deal with. Anyway, First I
want to thank you for answering our questions. And secondly
it is I want to think thank you for trying
to put this data out there, because I think a
lot of times we get do you.
Speaker 8 (38:51):
Do you have trouble producing your data?
Speaker 7 (38:55):
I'm gonna put it this way, getting your data out
because of the latest fake site and the latest problems
we've had that most news that comes out of the
Bigfoot community as fifty percent is bunkable, if we'll call that.
Speaker 6 (39:08):
Yeah, no, I you know, I know just because I'm using, uh,
what the BFO has available. I honestly, I gotta admit,
I don't really keep up with what's you know, the
latest sighting or video is because you know, the majority
of it is just, at least on the video standpoint,
(39:31):
the majority of it it just hoaxes.
Speaker 8 (39:34):
And so I do that's the best answer, because that's
how I feel. I don't look at any of it.
Speaker 6 (39:39):
Yeah, I honestly don't really keep up with it. My
brain is purely on getting through these reports and looking
through the data set, so I don't really let it
influence what I'm doing, honestly, and for me getting this
information out there is I'm just I'm just trying to
present the numbers and then you know, kind of go
(40:01):
from there. I really try to not take any kind
of strong stance on anything. I try to remain very
neutral as unbiased as possible and just kind of say, well,
this is what the data is saying, and you know,
you could take this this way or this way, or
it's something else that we don't know about, but it's
interesting that this is the pattern that we're seeing. Basically,
(40:25):
so I kind of I try to let the numbers
speak for themselves, and you know, people are free to
interpret the results as they will, but I just think
it's really important to do that. I think it's really
important to not really a strong stance. So yeah, I
hope I answered your question.
Speaker 7 (40:43):
No, no, you you you answered. You actually answered a
better question than I asked. Because the fact is.
Speaker 8 (40:50):
That that I think that your your stance on it.
Speaker 7 (40:53):
And the nice thing is is when somebody confronts you
and says, hey, you're just flulllah blah blah blah, You'll
be like, see this big pack of papers, this is
what I started with, this is what I've got and
since you didn't read either one of these, you can
go away.
Speaker 8 (41:07):
That's the positive way to say it.
Speaker 9 (41:09):
I would have maybe added a little extra Urban Dictionary, but.
Speaker 4 (41:12):
Yeah, yeah, you put a lot of truth in there, Baker.
You know, with what you're presenting terrestrial, right, it's unemotional,
it's it's fact from the information you have, right, and
and people have a hard time with that. I'm even
listen going through and looking at some of the comments
you know in the chat room right now, like you know,
(41:34):
someone miffed off about you know, plenty of real video
for your information. Oh, there's not. I have yet to
see something that's compelling enough to say, oh hot, damn,
that's a big foot. Just doesn't It hasn't happened yet.
Speaker 8 (41:47):
But squads of videos are pretty good though.
Speaker 4 (41:49):
Yeah, well, you know, we have a lot of fun
with those AI videos as well. But the reality is
all that stuff's clogging up the pipe. It's the pipe.
And when you can look at it and break it
down and you're just looking at raw data, you know,
this is what it shows. That's a that's a great
starting point or a great just factual point, like you
(42:11):
might feel that way, but this data is a bias,
you know, this is this is telling a different story
than in how you feel, and it's important we get
into that mindset. We're going to keep doing the same
thing that we've been doing for the last sixty years,
which is chasing our perpetual tales and not speaking for
everybody else here. You know, I've had an experience with
(42:34):
something I can't explain that it was really impactful to me.
It was very I don't want to say life changing
because that's super.
Speaker 6 (42:43):
You know, like.
Speaker 4 (42:46):
Dramatic, but it it changed my thought process onto the
subject that brought it into reality for me, but I'm
still very skeptical. I think having an experience of my
own made it worse and van you know it was,
you know really, And I'm bringing back advance back on
vance oaticiting with something he couldn't explain years ago. And
(43:08):
I think that when you have an encounter or you
have an experience with something and there's no definitive to
what you've seen. To me, that's made me a little
bit more hostile to these folks that are adamant, like
I what gives you the right to say that we
don't have anything to base this off of, Like, as
(43:29):
much as we want to say this is real, there's
still no proof positive that it is. Yeah, at least
with the data and the tremendous amounts of it. It
gives us something to lean on and say, well, we
might not have a body, but we do have this,
(43:52):
and thank you for trying to help put that into
a way that's understandable for everybody.
Speaker 8 (43:57):
But anything you make sorry, I didn't mean oh.
Speaker 6 (44:00):
No, sorry, I was just gonna say, like, yeah, that's
kind of the basis of what I guess what I'm
trying to get at is, like we we need to
start using numbers and information and like statistical analysis or
data analysis or whatever as the basis of our ideas
towards the subject instead of the other way around, right like,
(44:21):
just like we need to have something more substantial to
start forming our ideas. And that's what I'm really hoping
to do, Like, I'm really hoping that I can present
this information and that you know, the data set is available,
so you know, people can go through it, you know,
and see what they can find out. But that's you know,
(44:43):
a pretty big reason why I started this was because
I was just I was hearing a lot of ideas
and thoughts and things, but I wasn't seeing a lot
of information to back up statements. So yeah, at least
with at least with the data. You know, it's something, right, it's.
Speaker 7 (45:00):
Yeah, something I wouldn't cheapen what you're doing. And you
did make one valid point, is you saw what you
wanted to know and instead of complaining or crying or
making shit up, sorry, you took the raw data and said, Okay,
does this match my hypothesis? And that's that's the best
kind of science. That's like Sean said earlier, is you know,
(45:23):
I've seen the difference from when he had a sighting
to when he didn't have a sighting, on how he
handles witnesses, how he handles facts, how he handles a
lot of things. I also, I've changed my opinion on
how I feel about whether it's a creature. My opinion
has never varied from it's either completely alive or we've
been wasting seventy five years.
Speaker 8 (45:45):
Do you know what I mean, It's one or the other.
Speaker 7 (45:47):
But when Sean had a sighting, to listen to him
and to see what he did, and to see how
he's changed and how he does things, I believe more
in the possibility of a creature than I did before
for that because I trust in him, and I trust
in what you're saying, because you've got a book that
has the data if I want to look it up
(46:08):
and read it, which you can ask for. Or I
get mad at all kinds of things from the internet,
like they say, blah blah blah this the this guy said,
blah blah blah.
Speaker 8 (46:16):
Okay, where's the quote? Oh, I don't have any shut up?
Speaker 6 (46:20):
Okay, we done.
Speaker 8 (46:22):
But I just wanted I wanted to thank you for
seeing a problem that didn't fit what you needed and
then looking and making sure that the evidence fit it,
not that you fit it to the evidence.
Speaker 6 (46:36):
Yeah, I'm happy, happy to very happy to do that
because I just like I respect for that.
Speaker 7 (46:43):
I'm not you know, that's I wish I saw more
of it in the community.
Speaker 6 (46:49):
I really appreciate that because it's definitely definitely needed. We
need more of this, and you know, I just I
hope to help in any way that I can, like
just make more accessible or make it easier to interpret
or whatever. Like, I'm always happy to answer data questions
and stuff too, if people ever have them, Like, I'm
always happy to go dig through the data sent and
(47:10):
see what comes up. But yeah, I really really hope
that that's what I'm put out there at least, is
that kind of thinking.
Speaker 10 (47:19):
Yeah, well, you know what I have. I have a
question here, and I'm going to kind of take this
conversation or a whole new area here. We've been talking
a lot about data. We've been talking a lot about
you know, going through it and you know, analyzing it.
(47:39):
Let's talk about something completely different. Have you had any
experiences and have you done any field research. Have you
been out in the in the field and tell us
about it.
Speaker 6 (47:50):
Yeah, so I would say, I the field work is
something that I really want to get into. I just
haven't had really an opportunity. I will say though, that
my my parents own a farm in Georgia, and every
time we go back to visit, I'm basically in the woods,
like twenty four to seven. Because I have had some
(48:12):
weird things happen there. I can't definitively say that it
was you know, the experiences were due to sasquatches, but
also I have no idea, you know, what it was.
Everything was auditory. My dad did see a big, a
big dude though, running out of our barn once, so
that was interesting. But you know, he can't he can't
(48:36):
say for sure that it was a sasquatch. But you know,
we've had We've had some weird stuff. Probably the weirdest
thing that I've had happen is I woke up one
night and I heard what sounded. The only way I
can describe it is like it was a super demented turkey,
(48:56):
Like I know, that's so weird, but it sounded like
a really demented turkey gobble with like a horse snort
at the end of it. It was so bizarre. And
along with this, I heard very distinctive bipedal running in
the woods, just back and forth in the woodline, and
I'm hearing this through my wall and I'm like, I
(49:20):
don't know what this is. I'm looking out my window.
I can't see anything. My dogs are totally silent, which
was weird. And it was just a very odd experience.
And that went on for roughly like five to seven
minutes and then it just stopped. Never heard it again.
Oh wow, So it's just like very weird like auditory stuff.
But again I can't I cannot at all say that
(49:42):
that was the product of a sasquatch. But yeah, so.
Speaker 1 (49:48):
Yeah, I was trying to get out to the I
would ask one question, how many.
Speaker 5 (49:53):
Dogs were there involved two?
Speaker 6 (49:58):
I had two outside dogs that barked at everything. And
I remember sitting there thinking, this is so weird that
they're not barking because they always bark. And then it
turns out that that's, you know, that's something I keep
up with in the data set. That's pretty common. Well,
I hesitate to say common. It shows up more than
(50:19):
you would think, especially in the Class A sightings. So yeah,
I think.
Speaker 10 (50:25):
We've had discussions in the past about how animals react
to different sightings, and I think that that's something that's
interesting to put in the data as well. You get
some dogs at that'll hel and you know, go running
off and try to attack whatever's out there. You get
other ones that big mean, you know, dogs that come
(50:50):
running back with their tail between their legs, And I
do think that that's possibly an important piece of data
that could be included as well.
Speaker 6 (51:00):
Yeah, it's definitely something that I'm keeping up with. I
have calls for it in the data set, you know,
I just haven't run numbers on it. I should do
that though, I probably have enough a large enough sample
size at this point to look into that. Yeah, I
can do that. I can run some numbers.
Speaker 10 (51:18):
So so one last question about the field research. With
everything that you know from the data, when would you
think the best time of year to be out in
the field doing research would be?
Speaker 6 (51:32):
Yeah, So that question gets tricky because when we're looking
at these patterns in the data, it's difficult to say
if the patterns are due to you know, ecological reasons
or a biological reason, or if it's due to you know,
human patterns. So in the data set, there is an
(51:53):
overwhelming majority of summer and fall class A sightings. And
you know, as we know, this up really well with
when humans are getting out you know outside, they're camping,
they're hiking more, and they're hunting, especially in the fall. Actually,
just read a paper the other day that like this
you would think be intuitive, but you know, there's got
(52:14):
to be a paper on it. You know, humans are
more likely to be in remote places, they go further
out into remote places during the fall versus any other
time of the year, you know, because they're hunting and
they're camping and whatever. So it's hard to say when
the best time is. I will say there's a pretty
(52:35):
large lack of sightings in the springtime, which is odd
when you're looking at things from like a an animal
kind of perspective, because usually they're you know, recovering from
winter and they're foraging and they're out and about. So
that's kind of interesting in itself and almost more interesting
to me than the big spike that we have in
the summer fall. So yeah, it gets it gets hard.
(52:59):
It gets hard to say like when the best time
to go is, because we don't know if these patterns
are due to you know the animals themselves or due
to people.
Speaker 10 (53:12):
And Sean.
Speaker 4 (53:15):
We do have a couple of questions from Scott on
the from our patreon. Scott asks, what are key data
points that researchers and investigators should gather related to settings
or encounters that would help build better databases of information.
That's one question.
Speaker 6 (53:33):
So definitely if if you can get a complete date
for the encounter, that's super helpful. We can derive a
lot of information from that, and particularly like environmental information
lat moms are super helpful, and I think too if
we can consistently gather data as well on like the
(53:56):
witnesses occupation, how comfortable they are in the woods as well.
Those are two things that I've been looking into recently
that' kind of piqued my interest to see if there's,
you know, are there any inherent differences between the sightings
from people who are highly experienced in the woods versus
those who are not things like that. So I would
(54:20):
say the probably those four things, And it really depends
on your research question too, Like it depends on what
you're wanting to know, because like the STATA set's never ending,
and I'm like I'm trying to keep up with so
many variables and I just want to know everything about
all of them, so it's hard for me to really
(54:41):
pinpoint like what to tell people to ask. So I
do think to a certain extent it does come down to,
you know, personal preference of what you're wanting to get
out of the experience. But yeah, I hope that answers
a little bit.
Speaker 4 (55:01):
And then a second question, and what ways do you
feel the use of AI is beneficial to the Bigfoot
community and where is it detrimental?
Speaker 6 (55:10):
Yeah, so AI has actually been something I'm really interested in,
very interested in AI and how to apply it to
not only use tasquatch research, but just in general. I
actually have a few videos on YouTube about this as well.
How we can be applying it, how we shouldn't be
applying it, which is almost more important than like how
(55:30):
to apply it. The ways that I think it's going
to be very beneficial is in its ability to kind
of just make our make our work processes more efficient.
So there's a couple of apps that I really like
to use that are like text to speech and they
also automatically grab like location data and time and like
(55:54):
timestamps and whatnot. And you know, it obviously makes going
through texts a lot easier if you know how to
kind of mess with it, and it can really grab
out information very well from text, especially depending on the
model that you're using, you know, because different models are
optimized for different things. Things we should not be using
(56:17):
AI for is data analysis. We shouldn't be sending raw
data right like through AI. And that's something that I'm
starting to see and it's making me nervous because, like,
at the end of the day, the thing that we
call AI or just large language models, they're just text
predators and so they can barely count like how many
(56:43):
a's are in a word or whatever. Like if you
ask it to count something, it's usually wrong. So you know,
asking it to do data analysis is just going to
be detrimental. Also, asking it to identify patterns in data,
it's not very good at that either. So you know,
things like that I think we need to be really
(57:05):
careful about. But for the most part, it should just
be a tool and the tool belt. You know, it
shouldn't be driving our research and doing our research for us,
but it should be a supplement. I personally think, yeah,
that's a really good question. I could go on about
AI forever because I love it and I'm like really
getting into like how to how to do like AI
(57:27):
engineering and stuff like that.
Speaker 4 (57:29):
M gentlemen, any final thoughts or questions for Trestrial?
Speaker 10 (57:40):
I was gonna say, we have, between Shan and I,
we have a lot of witness reports. You know that
would be a class A that may be usable for
for the data set? Is that something that we could
email to you? Uh, the information? And what format to
(58:04):
you generally like to take that? Is it you know
in Excel or or how Yeah?
Speaker 6 (58:09):
So basically how I have things set up now my
program that I have honestly a text file of the
entire report for each report is the best. It depends
on how how you haven't set up as is. But
basically how my program runs is I just send in
a report and it extracts, okay, all the information. So
(58:32):
we can definitely chat about that.
Speaker 4 (58:36):
We do have one question that's sneaked in from our
executive producer, Brian Corbin. So we have to ask this question,
and the question is can Terrestrial discuss what project she
has that works with Darby Orchid at North Carolina State.
Speaker 6 (58:54):
I don't think I'm at liberty just say quite yet,
but yeah, maybe in another month or two I need
to chat with him.
Speaker 4 (59:09):
Very good, Tresture, Thank you so much for spending some
time with us before you head out. Where can folks
find out more about the Sasquatch Data Project and perhaps yourself?
Speaker 6 (59:18):
Yeah, so I post the most on Instagram. My handle
there is just at Sasquatch Data. It's actually my handle
on everything is just at Sasquatch Data. But yeah, I'm
on Instagram, Facebook, TikTok, YouTube, all that fun stuff. I
try to post on YouTube like at least once a month,
but on all my other channels I try to post
weekly with data investigations and updates. You can also check
(59:41):
out my research at Sasquatch Data Project dot com and
if you want to reach out, my email is contact
at Sasquatch Data Project dot com.
Speaker 4 (59:50):
Very good, very good, Thanks so much for spending some
time with us, folks, you much, Thank you so much. Folks,
you've been listening to the Sasquatch experience here on Anomalous
Entertainment on YouTube, Facebook, wherever you stream us like Lee,
like us, subscribe to us if you want. I can't
say it's that great to subscribe us all the time.
(01:00:11):
But also rate us and review us. That's very important
for us to get that feedback. And on that note, folks,
thank you. We'll see you in two weeks. And for
those of you that are going to join us at
the Pennsylvania Camping Adventure, we look forward to hanging out
with you. Thank you again. And hey, one more thing,
Squatch out hunger folks, Sasquatch Experience dot com. Click on
(01:00:31):
the banner, help us feed some people and we'll see
you next time. You've been listening to The Sasquatch Experience.
Please rate and review wherever this podcast is consumed. For
more information, please go to our website, Sasquatch Experience dot com.
(01:01:06):
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