Bigfoot Society - The Truth is in the Data! | Sasquatch Data Project

Episode Date: June 2, 2025

In this episode, we sit down with Terrestrial, a key figure in the Sasquatch Data Project, who shares her fascinating journey into the world of Bigfoot research. Terrestrial, who started her journey at the age of five after watching the Patterson-Gimlin film, is now optimizing witness reports for statistical analysis. We explore her project that aims to compile Bigfoot sightings into a comprehensive open-source dataset, designed for in-depth analysis. Featuring intriguing findings such as increased sightings during full and new moon phases and regional differences in Sasquatch characteristics, this conversation delves into the potential to predict Bigfoot activity using data science. Terrestrial's expertise in data and her background with NASA's Dawn mission bring a unique perspective to Bigfoot research. This episode also touches on odd personal encounters and the broader implications of her work. Tune in to discover how data analysis might unlock new insights into the elusive world of Bigfoot.Resources:https://www.sasquatchdataproject.comhttps://www.bfro.netIf you've had similar encounters or experiences, please reach out to [e-mail]. Your story could be the next one we feature!🔴 Subscribe to our Youtube channel and leave a comment here: https://www.youtube.com/@BigfootSociety?sub_confirmation=1Want to call in and leave a voicemail of your encounters for the podcast - Check this out here - https://www.speakpipe.com/bigfootsociety(Use multiple voice mails if needed!)Share this video with a friend: https://www.youtube.com/watch?v=z5v75Od-X38Watch more episodes of the Bigfoot Society podcast here – https://youtube.com/playlist?list=PL3t1vwtsKh-MGeHs0XglFJE5LwUHpmJm_&feature=sharedRecommended Playlist – New Jersey Bigfoot Encounters - https://www.youtube.com/playlist?list=PL3t1vwtsKh-Mk4032IyZtWgP6LVPU8uat✅ Help me help others share their Bigfoot Encounter by joining the community on Patreon - https://www.patreon.com/thebigfootsociety✅ Hear ad-free episodes early by joining the community on Youtube - https://www.youtube.com/channel/UC8Qq45W6iaTU8FE9kelxT7Q/joinLet’s connect:Instagram – https://www.instagram.com/bigfootsociety/Twitter – https://twitter.com/bigfoot_societyTiktok - https://www.tiktok.com/@bigfoot.societyAffiliate links mean I earn a commission from qualifying purchases. This helps support my channel at no additional cost to you.My Audio Interface: https://amzn.to/3L1q8XYPut some pep in my step by buying me a coffee: https://www.buymeacoffee.com/bigfootsocietyPick up some merch here: https://www.etsy.com/shop/bigfootsociety/?etsrc=sdtSend mail here:Bigfoot Society125 E 1st St. #233Earlham, IA 50072Send business inquiries to: [e-mail]

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in Los Angeles. Welcome to Bigfoot Society. If you have Bigfoot activity to report from the same areas discussed in this episode, please reach out to me directly after this episode. And if you'd like to be on the podcast to discuss a personal Bigfoot encounter, please reach out to me directly at Bigfoot Society

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Head on over to patreon.com forward slash the Bigfoot Society and now let's get on with the show. Right, Bigfoot Society. We got the privilege of talking to Terrestrial today. She is an individual with the Sasquatch Data Project and I first was introduced to her work through TikTok and it is very, very interesting stuff indeed

that I don't really hear a lot of people talking about in the way that she is doing. So welcome to the show, Terrestrial. How's it going? Thank you. I'm really excited to be here. I'm doing good. How are you? Yeah, I'm doing great. And just having a good Sunday afternoon hanging out, getting to talk about Bigfoot, so I can't complain about that. Let's start at the beginning. What was it that first got you into Bigfoot to begin with, Terrestrial? Yeah, so I have kind of a funny story of how this all in.

folded. I was like five years old and it was kind of weird because I was home from school that day, which never happens. My dad was also home from work because he was prepping for colonoscopy the next day. So we were just like vegging out on the couch while he was doing that. And he's always been into like kind of like aliens and ghost stuff. So we were watching Discovery Channel and Doug Higach's Sasquatch Legend Mead Science came on the TV and that's where I saw

the Patterson Gimlin film for the first time and my brain just like exploded I was like this is the craziest thing I've ever seen and kind of from there I was just hooked and I've been looking into it ever since. That's awesome. Yeah, Doug is such a cool guy to talk to

and he's really a pioneer in the field. I can't wait to see when his second duck follow-up to that comes out maybe later this year or the year after. We'll see. I know they have a little bit of work left to do, but yeah, we'll all be waiting for that as well. So Terrestrial walk me through what the Sasquatch data project is. Yeah, so I guess in its essence, I'm trying to put Bigfoot witness reports into a format that's optimized for data analysis. So I'm essentially creating a giant spreadsheet that's you can you know run whatever statistical analysis you want to

if you want to you know use it for any kind of coding you can and it's also open source too so anyone can go and download it off of my website at the time let's see right now i'm about 1500 reports deep into the bfro website and i'm parsing all of those reports into about 136 columns i think right now is what I'm up to. And those columns are, you know, composed of different traits to Sasquatches, whether it's physical, environmental, behavioral, that kind of thing. So in its essence, that's what it is. But I'm also really interested in the mathematical side of things. So like actually using the dataset for statistical analysis and seeing what we can learn about Sasquatches. That's interesting. Do you have a background with data or math then?

I do. Yeah. So honestly, when I was an undergraduate, I kind of did. like a PhD as an undergrad. I had a really great opportunity to work on NASA's Dawn mission. And I was very ingrained into the team. And I got to like first author a paper. I got to co-author a number of papers regarding my research on this dwarf planet and our solar system called series. So and a lot of my research was having to maintain and create like a very large data set. then running statistical analysis on that data. So I feel like I'm kind of pulling those skills that I got from my research and, you know, applying it to the SaaS watch field.

That's fantastic. I would imagine that is probably not anything you're involved with currently, though. No, it's not, no. Gotcha. Now, what are some things that you have come across when you start to jump into this data? Have there been any things that have jumped out that just have gotten you really excited when you start looking through it? Yeah, I feel like every day I'm kind of thinking about, oh, I could go look into this. Oh, I should go look into that.

So I have a tendency to kind of bop around into what I'm looking at. You know, the question, though, that kind of got me to actually start working on my dataset with the Sasquatch data project is, you know, I heard someone say once that Sasquatches are more active under full moons. And I was like, well, how do we know that? Because there's not data to back that up. It's just something that was said. So that was actually my first kind of analysis that I did with the data set. And that was one of the most surprising so far, I think, where I did find that there is an

increase in recorded Sasquatch sightings under full moons, but also new moons. So when the moon is zero percent illuminated, and that difference in the reports during those times is statistically significant compared to those reports for the middle values of moon illumination. So that's really interesting because you go, well, why would that be the case? And to me, I think it points towards evidence of Sasquatches partaking in this predator prey relationship that's very documented. Essentially, nocturnal predators engage in this. Under full moons, you know, prey have evolved to learn that nocturnal predators can see better, therefore they decrease their activities. So, you know, nocturnal predators will increase their activities

because they're hunting, but also they know that prey are going to be less active. So they're like staking out their territory and that kind of thing. And then under new moons, it's kind of the opposite where prey are more active because they know that predators can't see as well. Therefore predators are spending more time hunting. So their activities increase under these new and full moon conditions. And to see that in the data with Sasquatches is just fascinating, honestly. Like I know correlation does not necessarily mean causation, but it is really interesting to see the similarities there. That is fascinating. Have you had any researchers reach out to you yet and been like, yeah, you're on the ball with this or maybe you're a little off with this? Oh, no, you know,

no one that has really said anything about it yet. And I'm like hoping to get some feedback. Like I've been thinking about that a lot, actually. I'm like looking for feedback like, you know, to see what people think about it. But no, no, no, no one's really reached out to me yet. well one of the reasons I'm having you on is so hopefully you will get some feedback listeners might be like yeah this isn't the the normal bigfoot society show let's hear about someone who sees bigfoot well guys I think this is pretty important that we are aware of this research that terrestrial is doing so this is kind of like a one-off show so I think we all can can learn a great deal from what she is doing in her research but have you you've been able to use the data that you've been looking through to kind of get a better picture of what Sasquatch might normally look like? Yes, I have. So lately, I've been looking at the heights of Sasquatches. That's been something I'm interested in, particularly if there are differences in the reported heights between regions. So lately I've been comparing

physical traits between the southern and the western regions of the United States. And so far, I have found that there is not really a difference between the heights that are reported, at least between the south and the west. They came back not statistically significant and very close in value. I think like the west was 7.28 was the average height and then the south was 7.4 feet. But I'm just pulling those numbers out. It's somewhere around there. But what I did find that was interesting is that there is, there are differences in the hair colors that are reported between the southern and western United States. Something that I was interested in looking at particularly was, I feel like I hear a lot that there are more reports of like red brown Sasquatches in the south. So I looked into that.

And it turns out there are. And it is a statistically significant difference between the Western United States. I actually found that there is a meaningful difference between the number of reports of red, brown, white, and gray saskwashes in the south versus the west. So that's really interesting because I think the thing is too, especially with the statistical significance testing, is it essentially tells us, you know, is this difference that we're seeing in the data meaningful? Or could it have happened due to just random chance? Like, that's just how the data decided to fall. And when you do find statistical significance, it's essentially telling you, okay, something is going on to cause this to happen. What that is, it's not clear right now, but, you know, the chances of this just randomly occurring are very small, like, you know, less than 5%.

So those are two things that I've been looking at recently that I think are pretty interesting. Have you been able to find a baseline or maybe information about normal behavior of the Sasquatch due to all these reports that you've been looking at? Yeah, so that's a really interesting question because I would say the majority of the reports that I go through are extremely short. So typically the witness, either the witness sees the Sasquatch or the Sasquatch sees the witness first and then they make eye contact or they just become aware of each other. And then one of them leaves the encounter. Typically, it's not like a prolonged encounter where the witness is actually watching them maybe like eat or drink or I don't know, just exist in the environment, do whatever they do. So I haven't pulled stats on like who's leaving the encounter first.

Is it the witness or the Sasquatch? But I am keeping up with it in the spreadsheet. So that would be it, you know, that would tell us something about their behaviors. I do know that intimidation encounters or like aggressive encounters are not that, at least they're not very commonly reported. Currently in the dataset, about 5% of reports involve like aggressive. behaviors from Sasquatches. So right now, it's, you know, I can't make any certain, you know, I can't like for say,

or for certain say that there's like a certain way they should behave because the encounters are typically very short, like less than a minute. But yeah. That's interesting. In the community, there seems to be these different things that are always passed around. verbally as kind of like community knowledge. And it's very cool to see some of these things maybe be proven or disproven due to analysis of data. Have you found after looking through your data that a class A sightings happen more towards certain times of year? So this is the

interesting thing. And I want to touch on what you just said a little bit because that's also part of the reason that I'm working on the Sasquatch data project is because I feel like there is a lot of, you know, there are a lot of ideas in the community, but there's not a lot of data to back up the ideas. So part of what I'm trying to do is essentially take these ideas that are passed around and say, well, you know, based on at least this subset of reports, that doesn't seem to be true or this does seem to be true. So, yeah, that's definitely a big component of what I'm trying to do as Well, I'm sorry. I got off on a different train of thought.

Yeah, that happens to me a lot, too. Have you found that Class A sightings happen more towards a certain time of year after analyzing the data from the citing reports? Yeah. So at least how they are reported. Class A sightings do tend to cluster among certain months. I can actually pull up at least my most recent data because I just looked at this. So it looks like, yeah. So for Class A sightings, actually I didn't do it by class, so I can't quite tell you. But at least for sightings in general, not designated by Class A or B, right now, July has the most followed by October, which is interesting. So they definitely, and reports do cluster around the summer and fall months in general, whether that's more so due to human activity or Sasquatch activity. It's on queer. at this point, but I do know that the majority of Class A sightings do happen during like the

summer and the fall. And an idea that I've had that we can kind of, you know, that I've been thinking about at least for a while is potentially looking at like the, the national parks publish the amount of permits that they give out every year, particularly to, or for like backpacking permits. So I'm like, well, if we could look at that and see when people are at least going backpacking like into these more remote parts of the parks and stuff. I wonder if we could somehow use that data to determine if, you know, more people are going out into these more remote parts of the continent during these months. And maybe that's why we're seeing this increase or is it more of a Sasquatch thing?

Like they're more active during these times of year. I haven't quite figured out how to make that jump yet. Bigfoot Society will be right back. after these messages. On this episode of plant killers, we'll explore one nation's most notorious fruit and vegetable killer, bad dirt.

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july wouldn't really wouldn't really think so i mean or maybe there's some listeners are like well maybe you should really think so you're not talking to the right people but um yeah that's that's extremely interesting. Is there data that you wish you had from these encounter reports that you're reading? Yes. A lot of the time, like I said, with my data set, I have over 135 different traits or different, you know, variables that I'm looking at. And most of the time, most of the columns remain blank because either the witness didn't offer up the information, which is, you know, totally valid. Like they've had an encounter that a lot of them don't know how to process it, so they don't even know like what the researcher would be interested in knowing. But then the

follow-up from the researcher, you know, I feel like there's missed opportunities there to extract more information, especially from these Class A close range sightings where the witness got a really good look at the Sasquatch, particularly like facial features, like eye size, eye color, nose shape, different like cranial structure features or in some cases like the reports don't even include like a hair color from Class A sightings, which confuses me. So a lot of the time there is, there are times when I'm like wishing I had more information, especially latitude longitude information for where the siting happened. There is this thing you can do called maximum entropy where essentially you can by using like latitude longitude locations of where an animal was

you can essentially stack that with different environmental layers I guess and basically run it through an algorithm and it'll tell you where you're likely to see that animal based on the features surrounding that location of where it was seen so like that's something that I'm really interested in doing too but I don't have enough latitude longitude data. to actually do that because you need quite a few points based on the region that you're looking at. So that way we could actually like predict where, you know, you might have an encounter with a Sasquatch where they might be based on other sightings. So yeah, I'm I'm always looking for more information.

I love getting into the details of things. But I would say like the physical traits and the latitude longitude data I'm always looking for. that seems like a really big deal so i want to make sure that i get that correct so let's say someday you get enough of that data you could have the computer program make a map where it's like instead of us just going off of oh well this person tells me yeah you should check out this state park or national forest you could have a map where it would like show you really good ideas of where to go and check out. Is that correct? Essentially. Yeah. So biologists use this to predict where other species might be, like what they're interested in a particular species. And the thing

about it is, though, you have to be pretty specific because, you know, the capacity of what computers can run is only so much. And also, you don't want to make it too broad because then it will kind of overestimate an area. So the, yeah, the problem is getting enough reports from a pretty small area, even like statewide is a little too large, you can do it, but you have to have a high enough density of sightings to be able to properly run the algorithm, basically. So, yeah, so it could be, it potentially could be a very powerful tool. It's just, you know, having enough data to do it. Powerful in the right or wrong hands, for sure. Yeah. would be interesting. Approximately, how close are you to being able to run a program like that?

I started working on it. Actually, last month, I had this idea of like, oh, we could probably do that. Like, you know, let me see if I have enough data points for latitude, longitude. I am pretty far away, at least from my reports that I'm getting off of the BFRO because I am going through reports by hand. It's taking me a while to get through everything. And I'm about 1,500 reports steep. I've got about 5,000 more to go. And that's just one, you know, data set of reports. So it really just depends on the state and the area of how many data points would be enough. Yeah, it really just depends. I mean, the more data, the better, right? So as much latitude and longitude data I can get the better the, the better the program will essentially predict.

I definitely don't have enough right now. Man, if you could get access to the flats, that would be awesome. That is allegedly the name of the backdoor database for the BFRO, and I'm sure there's way more information on there. That's just me hypothesizing because I'm not in there. But so you have to manually go through all these reports to pretty much see if they have a latitude and longitude in them, right? Yeah. So there's a couple things.

And this is kind of what I've run into, you know, extracting any information from the reports is the witness. There aren't always latitude longitudes just blatantly on the report. Sometimes the researcher will give us, it'll say like GPS coordinates or, you know, whatever. or the witness will actually provide latitude longitude. But that's not very common. A lot of the times the witness will give an extremely detailed location. You there? Then walk 20 more feet and that's where this happens.

So I'll go on Google Maps. Sorry, I get a lot of weird stuff happening in my phone calls. Do you mind repeating that just a little bit? Your phone went out entirely. Oh, sorry, yeah. So with the reports on the BFR website, they do not always give a latitude longitude. Sometimes they do. Sometimes either the witness or the researcher who follows up will give a latitude longitude.

But most of the time, it's the witness giving like a really detailed description of where their encounter happened. So they'll say like, you know, turn onto this road, go to this mile marker and then like drive 20 more feet. and that's where the encounter happened. So I'll go on like Google Maps or something and I will go down the street view and find the spot and then extract the latitude longitude that way. So like some people have suggested like, you know, web scraping or something to extract the latitude longitude.

But honestly, most of the time I'm having to go and manually find it like in Google Maps or Google Earth or whatever. Man. It feels like there should be some. other, I get it though. I mean, like sometimes you just have to put it in the work, but that's a lot of work. Wow. It is, but it's worth it. Like, it's really fun. I like it as a challenge. But yeah, and like, if I could just, if I could have more, more data. Have you found any, you know, well, I would imagine you're looking at a lot of these places manually through Google Maps. Have you noticed any similarities of the places

that are starting to come out or any commonalities? You know, this is something that is pretty interesting because I haven't really noticed any kind of clustering or anything of like environmental traits. But to be fair, I haven't really looked into that too much. I've been more focused on like the physical traits of Sasquatches. You know, the majority of reports do happen in more rural areas. and quite a few happen at private, you know,

residences, people's houses. There's quite a few road crossings, and those typically happen on more rural roads, though you do have like the highway every once in a while. It's like, you know, you go on Google Earth and there's plenty of cars traveling on this highway. It's not like an obscure road or anything. But I haven't really looked into the more environmental aspect of,

or locational aspects of the reports too much. Yeah, absolutely. You know, let's say someday you are able to get, you know, we'll call it like this ultimate Bigfoot algorithm where you can run this program and you can see like, oh, show me the areas in Washington State where it's the best idea for me to look for Bigfoot. What is your hope that that would be used for the good? Yeah, that's a really great question because I've thought about this. And, you know, that the, Maxent modeling is not, you know, 100% going to be correct. It's essentially looking for features either in the topography or in the vegetation or proximity to major roadways and things like that. Like, it's looking for features that aren't going to be super apparent to humans. So it's not going to be like spot on every time for sure. It's more of a tool to at least get an idea of, okay, will this?

area has a lot of the same features of where, you know, these sightings occurred. So I do want to make that, like, clear that it's not going to tell us exactly where they are, at least, you know, help us choose better spots to go research. And I would hope that it's used for research. I would hope that, you know, it's purely used for research. And, you know, I'm, I, I hope for the best for the Sasquatch species, I guess. Like, I definitely, you know, I'm, I'm, I, I, I'm, don't want to help people like hunt them or something. I'm definitely like wanting to conserve the species. So I do hope that it would be used for purely research.

And yeah. No, I definitely agree with you. I mean, at the end of the day, if there is species of Sasquatch or Bigfoot in the United States, which I think we both believe that one of these days, there's going to be a whole lot of information put out there and the right people, which would be all of us, need to stand up really quick and start probably a conservation effort. We've had that chat a few times on the show in the past.

And it's an interesting one. How do you start a conservation effort before creatures actually even discovered? Yeah, it's an interesting conversation to have. Are there any other ideas that the community might throw around that, that you are trying to, I wouldn't say challenge, but look into if they're actually valid with your data? Yeah. So currently, I've been looking into,

and I, at least on TikTok, I get a lot of pushback on this one, but I'm really interested in learning more about the actual heights of Sasquatches because just based on the data, I'm not totally convinced, And a lot of like my own personal thoughts and beliefs are purely based off what I'm seeing in the data. You know, I'm not totally convinced that they are truly reaching these really extreme heights of like 10 plus feet.

Even like the really, you know, high 9.8 feet and stuff, like these really extreme heights. I'm not totally sure if that's, you know, if that's a product of the witness's fear, there's this thing. that happens when you're scared where you perceive the stimulus as much larger, sometimes up to 30% larger than what it actually is. It's a pretty documented phenomenon. It has a lot of different names. I call it fear-driven magnification. It's just one of them. But yeah, basically when you're scared, you perceive the stimulus as either or anywhere between like 17 to 30% larger than what it actually is. And so in my latest investigation that I've done, an analysis that I've done, I found that as witness fear levels increase, so does the average height of the reported

Sasquatch. And this increase is statistically significant between like the elevated and extreme witness fear groups versus the mild fear group. So that's been something I've been pretty interested in. I also found that while every witness fear group has these reports of like 10 plus foot tall saskwatches, 77% of those reports fall into these elevated and extreme fear groups. And you can kind of look at that two ways. You can either look at that as, well, it could be evidence of this, you know, fear-driven magnification, or you can look at it as, you know,

people are going to be more scared of a 10-foot-tall Sasquatch versus a 7-foot-tall Sasquatch. But in my mind, we know this happens. This is like a thing. It's both mental and a physical thing that happens in your brain. Your amygdala basically lights up, and that's the structure in your brain that processes emotion, particularly fear, and then it does send feedback back to visual courtesies that then influence further perceptual processing. So, like, we're going to see this happen at some point in these witness reports, because in, you know, most of these reports, the witnesses are really freaked out. I mean, They're having a potentially life-altering encounter.

They're very scared. Bigfoot Society will be right back after these messages. On this episode of plant killers, we'll explore one nation's most notorious fruit and vegetable killer, bad dirt. What makes bad dirt so bad? The answer? The ingredients. But fear not true crime enthusiasts.

This story has a happy ending. Miracle grow organic raised bed and garden soil. It's made with quality organic ingredients from upcycled green waste like compost and aged bark. Unlike the other guys who can't say the same, looks like Bad Dirt's murdering days are over. Thanks to Miracle Grow. Join us next time on Plant Killers. Let's go, girls.

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Don't learn about your shingles risk the heart. hard way. Talk to your doctor or pharmacist today. Sponsored by GSK. So I think that's something we really need to keep in mind when we're thinking about the size of Sasquatches is, you know, keeping in mind these psychological things that do happen when you were scared. And that's been one of my recent things that I've been looking into and thinking about a lot. That's extremely interesting. I'm sure this conversation would be totally different if I had actually had a visual citing prior to this interview, which I haven't. How do you figure out that a report falls under being really scared or not so scared or extremely scared? Like, how do you make that back and forth?

In every report, I can't always determine. The fear level isn't always explicitly stated. So in those cases, I just put like in a, like, that's my placeholder, not applicable. So I basically created, five different fear groups. There is the no fear group where the witness explicitly states they were not scared during the encounter at all. There's mild where, you know, the witness was basically like, I was a little freaked out, but really it wasn't, you know, anything crazy. Moderate. The witness may or may not have some kind of physical reaction. The hair stands up on their skin or, you know, they just basically say I was scared. That's what I designated moderate as. elevated is the witness expressing, you know, more elevated fear.

Maybe they start sweating. They start to get goosebumps. They say they were very scared, like even just as simple as that. And then extreme is when the witness explicitly states, like, I'm never going into the woods again. I actually just read a report this morning where this woman will never drive after dark anymore because her, you know, experience was so terrifying. or they say, like, I was scared to death. I was terrified. I've never been that scared before in my life.

I would say the majority of reports are in that moderate and elevated fear group. But, yeah, I basically just have come up with like a classification. Classifications for the different groups. It's extremely interesting how you had to do that. And it's pretty cool, too. There's a left field question just because I think this is kind of interesting how it comes up in some reports that I have that I've received over the years. Do you find that a lot of the reports that you're analyzing talk about orangutan features or anything

I thought? Yes. I don't know about a lot, but it has been brought up. It does stand out that people sometimes do describe, especially the hair, especially the hair on the arms as orangutan-like. I would say that I've read more reports where they describe the facial features as more guerrilla-like, if they are going to attach it to one of the great ape species, if it doesn't resemble a human, I typically see gorilla more or the body stature more guerrilla-like.

But on occasion, I do get, or I have read those reports where they say it was more like an orangutan. And it would be interesting to see if that's like a regional thing. if that seems to be clustered in particular regions or states. Exactly. Yeah, that's, I was just thinking that as well. I mean, this is enough to this side,

but man, I just love going to the Omaha Zoo. I'm out in the Midwest, and like, there's a really great orangutan exhibit there and just watching them. They're so smart. You're watching them and like imagine,

man, can you imagine being the Pacific Northwest and you see something that kind of looks like that, but it's a lot bigger. That would just be like, mind blowing for sure. In your analyzing of all this data, does anything ever come up with like track size? Yes. Yeah. I've analyzed quite a few footprint reports. I think at this point I'm at around 120 reports that I've analyzed that are footprint reports specifically. Now, I will say that most of the

reports that have a footprint size, like a length, a ball width, heel width, a depth. The witness, it's not clear if the witness actually measured the footprint with like a ruler or anything like that. Typically what I see is they have like either a picture of their boot next to the footprint or they give like a general size estimate. So I have to be really careful with how I present the footprint data because it's not always, usually it's like an estimate or like they're going purely

based off of their shoe size, which is not always super accurate either. But I do, I have gone through about, I think about 120 footprint reports so far. That is really cool. You're doing everything by hand or, you know, just by yourself. Have you ever considered using a,

AI at all to analyze huge amounts of data, or is there maybe a certain way you feel about using that? I use AI all the time. So, yeah, when I'm going through reports, in the beginning, I was purely manually going through reports. Like I was reading everything, extracting information, and it was taking me forever to get through reports. I use chat TPT and Claude to help me get through reports. Basically, I feed it my column names, I feed at the report, and I have it, you know, extract information for me, but there's some problems with that.

So if you ask these large language models a question twice, they don't always give you the same response, and especially in the same format. So that creates an issue when you're trying to extract information for something like what I'm trying to do with the task watch data project, where I'm trying to optimize it for coding. I'm trying to optimize it for data analysis. So it needs to be very structured and in a particular format. Well, AI doesn't always follow the format. And it also doesn't always extract the information correctly, especially in these reports where maybe multiple encounters were reported in like one report. It'll get confused. It'll start like basically putting the wrong information with

the wrong report. So I do have it help me to get like the quick information out, but I do still have to manually like read everything, extract, fix issues and that kind of thing. So yeah, I do use AI a lot, but I definitely don't lean on it and I don't, I don't trust it to do all of my parsing of the reports for sure. But it is very helpful and it has sped up the process for me a lot. It also helps me with my code because how I do my analysis is I write everything in Python. And that's how I'm doing like my statistical significance testing and my statistical analysis is all through Python. So it's definitely helpful with the coding part. But for parsing the reports, there's some issues with it.

But it does speed up things quite a bit. Do you think that at any point you might start bringing in other data sources besides the BFRO or? you probably will be focusing on just this for a while. Oh, I would love to. Like, my ultimate goal with this, I, so with data analysis, you want to pull from as many sources as possible. You want to have like,

you know, you don't want to basically put all your eggs in one basket. So I would really love to start pulling from other data sets or other databases, especially ones where they do like, you know, it has to, the records have to go through some kind of check. Like they've got to either do follow.

up reports with witnesses or something like that. But I would love to include other databases in the in the dataset. It would really help strengthen these results too that I get with, you know, the statistical analysis. But for now, you know, I guess for now I'm just going to keep going with the BFRO. But I would love to start pulling in other other databases of witness reports. Absolutely. I mean, the main one that would come to my. my mind right now would be, you know, the Bigfoot mapping project, there are quite a few unique witness reports that come into that one. That's, that might be something to, I don't know if you've ever looked into that one before, but. Oh yeah. Yeah. I have. And yeah,

like I said, I'm super open to pulling in other, other databases for sure. Because essentially, it just strengthens like the results that I'm getting through the analyses that I'm doing when you have, when you do pull like data from different sources and you know it's been checked and credible. Absolutely. Maybe to switch gears for for a little bit here at the end, have you ever experienced anything that might be considered related to Bigfoot out in the woods or had any weird encounters yourself, or has this made you want to go out and kind of look for things yourself? I've had two really weird things happen that I can't attribute to anything that I at least,

you know, nothing, I just can't attribute it to anything else. I grew up on a farm in Northeast Georgia and a pretty rural part of Northeast Georgia. and the first one, the first weird thing, I guess, that happened was basically how the house is set up. It backs up to about 15 acres of woods, at least on our property. And then that property, or our property, backs up to another 150 acres of woods. And then there's like some farms scattered around. But my dad was like on the back porch and he comes in and he's like, there's some people walking in our woods back there. and my mom and I were really confused because, you know, rural Georgia, people trespassing.

It's not a good combo. Like most people aren't going to do that. So we go out on the back porch and you could distinctly hear two sets of bipedal footsteps. It definitely was not a quadrupedal animal. It was like bipedal footsteps and definitely two of them. And you could hear like a woman's voice. But the weirdest thing about it was that. that they were close enough to where we should have been able to understand what they were saying,

but you couldn't understand them. And it also at the same time sounded like it was on the edge of hearing. And it doesn't really make sense, but I've heard other people talk about this when they say that they've heard Sasquatches communicating. Like that's the only way to describe it. And I totally understand what that means because that's exactly what I heard that day, was like it's like it's close enough to where you should be able to understand them but it also sounds just bizarre and it's like on the edge of hearing but i you know i can't definitely say

that those are saskwatches we were hearing but it was just like really weird the second thing was weirder my basically in that house my bedroom was against the back wall of the house so again right next to the woods and i woke up one night and I was hearing this noise like right outside and the wood line of what sounded like a really demented turkey like gobbling and then there was like this horse snort at the end I know that sounds so weird but that's what that's the best way I know how to describe it and then you could very distinctly hear bipedal running back and forth in the woods just running back and forth and doing this like weird turkey gobble thing with a horse snort and at first I thought like okay this is like the

most messed up turkey I've ever heard. Like something is wrong. But then I realized like turkeys don't snort. And also there's no way that I would be able to hear it running in the woods because they wouldn't be large enough. We had horses on the farm and we would let them kind of like free roam on the property. And I could barely hear them in the woods from my room. Like you could barely hear their footsteps. And you know, they're like eight to 1,200 pound horses. So I'm like listening to this thing. sitting there and at one point it did I'm like did the horses get out but then I was like no they don't you know that doesn't sound like a horse but the other weird thing was we had dogs that lived outside and they were totally silent and they usually barked at everything like it was just weird

that they weren't barking or anything so I'm listening to this for at least six or seven minutes of this weird turkey gobble horse snort and then it just stops and that was it that was the whole thing. Nothing else ever happened. It was just a really bizarre experience. That is very, very strange. I agree. Anything weird ever done to the horses themselves? No, we never, no, we've never, they never had anything happen to them. I've, I've heard reports of like Sasquatches, like braiding horse hair and stuff, but we never had anything like that happen at all. You know, sometimes they'd be more spooky. you know, at times and other times, we always thought, okay, the bear's back or something.

But no, nothing weird ever happened like that. It was more just like auditory stuff that was weird. And again, I can't for sure say that they were Sasquatches, but also like, I don't know what the heck that would have been. Yeah. That's very interesting. I've never heard anything like that myself. I do get a lot of reports where it's like weird combinations of.

animals doesn't really make sense. And it's just, it's very, very strange is what it comes down to. But a terrestrial, it's been such a pleasure having you on the show today. And I feel like we've learned a lot through what you are doing with your work currently. Is there a way that my listeners can help you maybe by sending data or anything like that? Yeah. If you have any kind of reports, especially if you have like an exact latitude or longitude associated with the report, you can send them my way on my website, saskatchdataproject.com. I also have a resource on there that, you know, either witnesses can use or researchers can use. It's basically like a worksheet with a bunch of different questions on it that you can fill out and send back to me.

And I can start compiling those reports into my dataset. But yeah, you can contact me through email. It's just contact at Sasquatchdataproject.com or you can message me on like Instagram or YouTube or TikTok. Any social media that I'm on is the handle is at Sasquatch Data. But yeah, those are a couple of ways to get in touch with me. Fantastic. Well, thank you for coming on the show today and best of luck with your future research. Thank you.

Thank you so much for having me. This was so much fun. I just wanted to take a few minutes to say thank you to you, all my listeners, for listening to the podcast. please take a minute to help out the show by subscribing on YouTube, making sure you hit the bell so you don't miss any notifications, and share the episode on YouTube with a friend. Also, if you're listening to us on a podcast, thank you so much.

Make sure that you're subscribed, share the show with a friend. Really, it's all about sharing the show wherever you can. If you've had a Bigfoot encounter related to the following or know someone who has, please reach out to me at bigfoot society at gmail.com or pass on my email here's the list number one encounters from franklin county texas number two encounters from the entire state of iowa number three

encounters from oakridge oregon or the surrounding area number four any individuals that know about bigfoot being flown off after the mount st helen's eruption number five individuals that have had a Bigfoot encounter while in the military. Number six, those that have had a big foot encounter in the Southern New Hampshire or North Central Massachusetts area, including Franklin County, Massachusetts. Number seven, individuals that have had a Bigfoot encounter in a Bible camp or Boy Scout camp setting. Number eight, individuals that have had Bigfoot try to enter their house forcibly while they were living inside. Number nine, individuals that have actively have a Bigfoot living on their property. And lastly, any sightings that are in.

in the Wachita National Forest area of Oklahoma or Arkansas. A special thank you to all the Bigfoot Society, Patreon and YouTube channel members. It's your support that helps keep the show going and I extremely appreciate it.

I'll see you back next time, listeners. Sat-Switch Summerfest, this year July 11th through the 12th, it's going to be fantastic. July 11th through 12th in Greenwaters Park in Oak Ridge, Oregon. And listeners, if you you're going to go.

You can get a two-day ticket for the cost of one. If you use the code, BFS, like Bigfoot Society, but BFS, and it'll get you some off your cost. Priscilla was nice enough to provide that for my listeners. So there you go. I look forward to seeing you there. So make sure you head over to www.susummerfest.com and pick up your tickets today. On this episode of plant killers, we'll explore one nation's most notorious fruit and vegetable killer, bad dirt. What makes bad dirt so bad?

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