WEBVTT

1
00:00:02.960 --> 00:00:08.320
<v Speaker 1>Big Food and Beyond with Cliff and Bubo.

2
00:00:08.839 --> 00:00:12.439
<v Speaker 2>These guys are your favorites, so like to subscribe and

3
00:00:12.640 --> 00:00:15.080
<v Speaker 2>raid it five star Sho.

4
00:00:15.480 --> 00:00:16.199
<v Speaker 1>And Me.

5
00:00:18.960 --> 00:00:25.320
<v Speaker 2>On Yesterday and listening watching Lima always keep its watching.

6
00:00:26.640 --> 00:00:30.399
<v Speaker 1>And now you're hosts Cliff Berrickman and James Bubo Fay.

7
00:00:31.239 --> 00:00:33.880
<v Speaker 2>Greetings, Bobo. Anything good going on? Anything you want to share?

8
00:00:34.479 --> 00:00:36.799
<v Speaker 3>Well, I still haven't had my found my phone for

9
00:00:36.840 --> 00:00:39.640
<v Speaker 3>over a week. I'm going back up their final shot today.

10
00:00:39.679 --> 00:00:41.960
<v Speaker 3>Paul's got a metal detector actually at his house. I'm

11
00:00:41.960 --> 00:00:43.799
<v Speaker 3>gonna go grab and my buddy always gonna go up

12
00:00:43.799 --> 00:00:46.960
<v Speaker 3>there with me and we're gonna go metal detect for it.

13
00:00:47.679 --> 00:00:50.600
<v Speaker 2>You know what is funny is you having lost your phone.

14
00:00:50.759 --> 00:00:53.479
<v Speaker 2>I haven't noticed a difference in my ability to get

15
00:00:53.479 --> 00:00:54.000
<v Speaker 2>a hold of you.

16
00:00:54.719 --> 00:00:55.560
<v Speaker 3>Really. Yeah.

17
00:00:55.560 --> 00:00:57.200
<v Speaker 2>I just email you now and you tend to get back.

18
00:00:57.240 --> 00:00:59.840
<v Speaker 2>So I mean, how's that you don't need that phone?

19
00:01:00.399 --> 00:01:02.640
<v Speaker 3>Well, because I can type better on the computer. So

20
00:01:02.719 --> 00:01:05.159
<v Speaker 3>if that's the problem is a lot of times I'll

21
00:01:05.200 --> 00:01:08.439
<v Speaker 3>look at email, then I don't answer. I think I'm

22
00:01:08.439 --> 00:01:10.239
<v Speaker 3>going to answer, like when I get back on the computer,

23
00:01:10.319 --> 00:01:11.760
<v Speaker 3>then I don't. I don't get on the computer for

24
00:01:11.760 --> 00:01:14.239
<v Speaker 3>a while. And then I forget or whatever. But yeah,

25
00:01:14.680 --> 00:01:16.959
<v Speaker 3>but I'm on the computer. I can just type real easily,

26
00:01:17.200 --> 00:01:19.920
<v Speaker 3>so that's when I do it. Oh yeah, yeah, maybe

27
00:01:19.920 --> 00:01:22.000
<v Speaker 3>that's fast. Nothing to do with it. Well, anyway, I

28
00:01:22.000 --> 00:01:22.799
<v Speaker 3>hope you find your phone.

29
00:01:22.799 --> 00:01:24.439
<v Speaker 2>Man. That kind of sucks and it beat expensive thing

30
00:01:24.480 --> 00:01:25.640
<v Speaker 2>to replace, of course, but.

31
00:01:25.599 --> 00:01:27.519
<v Speaker 3>I know, dude, Plus all the photo I mean, that's

32
00:01:27.560 --> 00:01:30.599
<v Speaker 3>the main thing is I thought at all I have

33
00:01:30.719 --> 00:01:34.079
<v Speaker 3>an automatic backup, and I couldn't find it. There's stuff

34
00:01:34.120 --> 00:01:36.159
<v Speaker 3>that I like, the last six months of pictures. I

35
00:01:36.159 --> 00:01:38.640
<v Speaker 3>couldn't find the oh the pictures of the field. Right.

36
00:01:39.319 --> 00:01:40.799
<v Speaker 2>I just got back from the Blues man. It was

37
00:01:40.799 --> 00:01:41.599
<v Speaker 2>a pretty good trip.

38
00:01:42.040 --> 00:01:42.799
<v Speaker 3>Oh yeah.

39
00:01:42.920 --> 00:01:44.359
<v Speaker 2>I was only out for a couple of nights too.

40
00:01:44.400 --> 00:01:48.359
<v Speaker 2>I had to cut the weekend short because when I

41
00:01:48.400 --> 00:01:50.840
<v Speaker 2>was out there, people started showing up, thinking what's going on.

42
00:01:50.920 --> 00:01:53.760
<v Speaker 2>Then I realized, oh yeah, yeah, Labor day, Labor Day weekend.

43
00:01:53.799 --> 00:01:55.359
<v Speaker 2>I got to get out of here. Man, everybody's gonna

44
00:01:55.359 --> 00:01:57.400
<v Speaker 2>come up. And then I found out on the way

45
00:01:57.439 --> 00:02:00.640
<v Speaker 2>out from this other guy who is coming up. I

46
00:02:00.920 --> 00:02:03.480
<v Speaker 2>spoke to He's driving his truck up and we met

47
00:02:03.480 --> 00:02:05.359
<v Speaker 2>on a very narrow road and I had to back

48
00:02:05.439 --> 00:02:07.719
<v Speaker 2>up a couple of hundred yards until his place, you know,

49
00:02:08.439 --> 00:02:10.199
<v Speaker 2>and so he stopped and we talked for a minute.

50
00:02:10.240 --> 00:02:12.560
<v Speaker 2>I also didn't know that I was driving out on

51
00:02:12.680 --> 00:02:16.520
<v Speaker 2>Friday because all the people were showing up. Apparently Saturday

52
00:02:16.560 --> 00:02:19.360
<v Speaker 2>was the opening day of Elk season. So it's like, oh, yeah,

53
00:02:19.400 --> 00:02:21.159
<v Speaker 2>we got to get out of here now before everybody

54
00:02:21.159 --> 00:02:23.879
<v Speaker 2>shows up, because the Elk season in the Blues is

55
00:02:23.919 --> 00:02:27.400
<v Speaker 2>really good. Yeah, anyway, I got out. But so I

56
00:02:27.479 --> 00:02:29.120
<v Speaker 2>just spent a couple of nights out there. But man,

57
00:02:29.159 --> 00:02:33.120
<v Speaker 2>what a what a great trip? I think squatchy Oh yeah,

58
00:02:33.199 --> 00:02:35.400
<v Speaker 2>yeah for sure. But you know, other than that too,

59
00:02:35.439 --> 00:02:38.719
<v Speaker 2>like historical stuff, you know, like I reconnected with Dar Addington,

60
00:02:39.400 --> 00:02:42.520
<v Speaker 2>a legend. She's a she's a legend. She's not only

61
00:02:42.560 --> 00:02:46.280
<v Speaker 2>just amazing as a person, but like she she was

62
00:02:46.520 --> 00:02:49.800
<v Speaker 2>hanging out with and big footing with John Mayenzinsky and stuff.

63
00:02:49.800 --> 00:02:51.360
<v Speaker 2>It's like and people say, I don't know who Dar

64
00:02:51.439 --> 00:02:54.759
<v Speaker 2>Addington is. She can't be anybody important. Yeah, okay, ask

65
00:02:54.840 --> 00:02:57.879
<v Speaker 2>John Maynzinsky about her. You know, like there's nobody in

66
00:02:57.919 --> 00:03:00.879
<v Speaker 2>the big foot field that doesn't respect John Minezinski and

67
00:03:00.919 --> 00:03:04.240
<v Speaker 2>he sings her praises. So yeah, Dar's just a legend. Man,

68
00:03:04.360 --> 00:03:07.680
<v Speaker 2>she's so cool, and she knew John before she started

69
00:03:07.680 --> 00:03:10.199
<v Speaker 2>big footing. Turns out that they were both goat packers.

70
00:03:10.639 --> 00:03:11.000
<v Speaker 3>So yeah.

71
00:03:11.000 --> 00:03:12.960
<v Speaker 2>So I hung out with Dar for an afternoon, which

72
00:03:13.000 --> 00:03:15.120
<v Speaker 2>is awesome, and then to go do some work with

73
00:03:15.159 --> 00:03:18.199
<v Speaker 2>her next spring about her Coyotie grove tracks that are

74
00:03:18.199 --> 00:03:22.599
<v Speaker 2>detailed in Michael Freeman's excellent book. Went out that night.

75
00:03:23.199 --> 00:03:25.199
<v Speaker 2>You know, I came in and out of town several times,

76
00:03:25.240 --> 00:03:27.479
<v Speaker 2>so I dropped by Dar's house and hung out with her,

77
00:03:27.919 --> 00:03:29.879
<v Speaker 2>and then we went up that night and spent the

78
00:03:29.960 --> 00:03:32.000
<v Speaker 2>night at deduct, you know the side of the Paul

79
00:03:32.039 --> 00:03:35.159
<v Speaker 2>Freeman d duck footage. So I took two really good

80
00:03:35.199 --> 00:03:38.080
<v Speaker 2>three D scans of the entire foot entire footage site

81
00:03:38.080 --> 00:03:41.039
<v Speaker 2>and also the entire stretch because I did it last year,

82
00:03:41.080 --> 00:03:42.639
<v Speaker 2>but I made some mistakes. It was my first three

83
00:03:42.680 --> 00:03:45.039
<v Speaker 2>D scan of an area outside, so I learned a

84
00:03:45.039 --> 00:03:48.560
<v Speaker 2>lot from doing it wrong. I learned mostly from my mistakes,

85
00:03:48.560 --> 00:03:50.360
<v Speaker 2>it seems, so I'm learning a lot all the time.

86
00:03:50.840 --> 00:03:54.120
<v Speaker 2>And then I went and did two scans not only

87
00:03:54.199 --> 00:03:56.400
<v Speaker 2>just where Paul, from where Paul was standing to where

88
00:03:56.400 --> 00:03:58.240
<v Speaker 2>the animal walked. Initially, as I walked in front of

89
00:03:58.240 --> 00:04:00.759
<v Speaker 2>that fir tree, but also a longer set from down

90
00:04:00.960 --> 00:04:03.319
<v Speaker 2>by the pond all the way up past that area.

91
00:04:03.719 --> 00:04:07.199
<v Speaker 2>So I got two really really decent quality three D

92
00:04:07.360 --> 00:04:09.960
<v Speaker 2>scans of the area. I'm not sure what I'm going

93
00:04:10.039 --> 00:04:12.319
<v Speaker 2>to use that for yet, but I've got some ideas.

94
00:04:12.960 --> 00:04:16.319
<v Speaker 2>Nothing bigfooty, well something. That night was kind of weird. Actually,

95
00:04:17.199 --> 00:04:19.120
<v Speaker 2>at some point we decided to do some knocks because

96
00:04:19.120 --> 00:04:21.040
<v Speaker 2>there was nobody around, and we went for a walks.

97
00:04:21.040 --> 00:04:23.360
<v Speaker 2>We found, you know, lots of animal tracks in general,

98
00:04:23.439 --> 00:04:25.360
<v Speaker 2>you know, mostly deer, a lot of deer and elk there,

99
00:04:25.399 --> 00:04:28.199
<v Speaker 2>tons and tons and tons. But that night I went

100
00:04:28.240 --> 00:04:29.759
<v Speaker 2>to go do a knock and you know, so I

101
00:04:29.800 --> 00:04:32.800
<v Speaker 2>was walking like hundred and fifty yards from camp in

102
00:04:32.839 --> 00:04:35.759
<v Speaker 2>the dark. And as I was walking away, like my

103
00:04:36.319 --> 00:04:38.480
<v Speaker 2>Nico was there. My friend Nico, he is also the

104
00:04:38.480 --> 00:04:41.879
<v Speaker 2>manager for the NABC young guy tracker. I left him

105
00:04:41.879 --> 00:04:44.439
<v Speaker 2>at camp and I was walking out towards this tree,

106
00:04:44.480 --> 00:04:46.399
<v Speaker 2>this one lone tree out there to do a knock.

107
00:04:46.879 --> 00:04:49.319
<v Speaker 2>And about halfway between the camp and the tree, I

108
00:04:49.399 --> 00:04:52.639
<v Speaker 2>hear Nico walking behind me, right. I said, oh, he

109
00:04:52.839 --> 00:04:54.439
<v Speaker 2>got up and left or whatever, and then I'm over

110
00:04:54.480 --> 00:04:57.199
<v Speaker 2>by the tree knocking. I did one or two knocks,

111
00:04:57.199 --> 00:04:58.839
<v Speaker 2>and then I walked back and I saw I don't

112
00:04:58.879 --> 00:05:02.079
<v Speaker 2>see Nico. And then I get back to camp and

113
00:05:02.279 --> 00:05:05.399
<v Speaker 2>he's in campg oh, all right, But it turns out

114
00:05:05.399 --> 00:05:07.839
<v Speaker 2>he never left. He never actually even got up from

115
00:05:07.839 --> 00:05:10.160
<v Speaker 2>where he was sitting, so I don't know what was

116
00:05:10.160 --> 00:05:13.319
<v Speaker 2>behind me. I thought that was a little weird. I'm

117
00:05:13.319 --> 00:05:14.680
<v Speaker 2>not saying it was a bigfoot. I'm not saying it's

118
00:05:14.680 --> 00:05:16.720
<v Speaker 2>a bear. I'm not saying it's anything. Maybe I just

119
00:05:16.800 --> 00:05:21.199
<v Speaker 2>heard something, you know, scraping the gravel or whatever, but

120
00:05:21.240 --> 00:05:25.000
<v Speaker 2>a shirt. I fully expected him to be standing in

121
00:05:25.079 --> 00:05:27.600
<v Speaker 2>the dark about halfway between camp and where that tree

122
00:05:27.639 --> 00:05:29.759
<v Speaker 2>was from what I heard. But that's not even the

123
00:05:29.759 --> 00:05:32.040
<v Speaker 2>cool stuff. That's just something weird that happened that I

124
00:05:32.120 --> 00:05:34.279
<v Speaker 2>just remembered as I was telling you. So that was

125
00:05:34.319 --> 00:05:37.480
<v Speaker 2>on whatever night, the Wednesday night, I think it was Thursday.

126
00:05:37.600 --> 00:05:40.600
<v Speaker 2>I went back into town and I met up with

127
00:05:40.839 --> 00:05:44.639
<v Speaker 2>another historic bigfooter, a guy named Brian Smith. Brian Smith

128
00:05:44.720 --> 00:05:48.120
<v Speaker 2>was a very common name back in the probably late

129
00:05:48.199 --> 00:05:51.920
<v Speaker 2>nineties early two thousands in bigfootland. Brian Smith was probably

130
00:05:51.959 --> 00:05:56.399
<v Speaker 2>best known for the Cuterville, Idaho cast from two thousand

131
00:05:56.439 --> 00:06:00.600
<v Speaker 2>and one. That's probably his biggest mark speak. But he's

132
00:06:00.600 --> 00:06:03.319
<v Speaker 2>a witness. He investigated a ton of reports. He was

133
00:06:03.360 --> 00:06:07.240
<v Speaker 2>out there with Wes Summerlin mostly. He met Paul Freeman

134
00:06:07.319 --> 00:06:09.000
<v Speaker 2>one time, he said, but didn't really hang out with

135
00:06:09.079 --> 00:06:10.560
<v Speaker 2>him so much. He's he hung out a lot with

136
00:06:11.319 --> 00:06:15.160
<v Speaker 2>Wes Summerlin and Bill Lowry. I met him at a

137
00:06:15.160 --> 00:06:18.120
<v Speaker 2>burger place in Walla, Wallet and I laughed because the

138
00:06:18.199 --> 00:06:23.079
<v Speaker 2>name of the burger place is f U Burger. Huh,

139
00:06:23.240 --> 00:06:26.160
<v Speaker 2>and like they have all these play on words and

140
00:06:26.240 --> 00:06:30.160
<v Speaker 2>slightly prophanic sort of inclinations and all there. It was

141
00:06:30.199 --> 00:06:32.199
<v Speaker 2>a great place, a solid burger. I'll tell you, if

142
00:06:32.240 --> 00:06:34.040
<v Speaker 2>you ever around, go to f you Burger. It was

143
00:06:34.160 --> 00:06:36.680
<v Speaker 2>really really good. But yeah, so I interviewed him and

144
00:06:36.720 --> 00:06:38.240
<v Speaker 2>recorded the interview. So I'm gonna get one of my

145
00:06:38.279 --> 00:06:42.040
<v Speaker 2>volunteers to transcribe that interview, probably get him on the

146
00:06:42.079 --> 00:06:44.839
<v Speaker 2>podcast at some point too. He's a great speaker and

147
00:06:44.879 --> 00:06:48.160
<v Speaker 2>has so much to share. Super interesting guy. But forget

148
00:06:48.199 --> 00:06:50.639
<v Speaker 2>about that. I mean, the new Bigfoot stuff is really

149
00:06:50.639 --> 00:06:52.839
<v Speaker 2>really cool and I enjoy doing it. But talk about

150
00:06:52.839 --> 00:06:53.839
<v Speaker 2>a great guest today.

151
00:06:54.360 --> 00:06:58.000
<v Speaker 3>Oh yeah, we got a new guest coming on. So

152
00:06:58.079 --> 00:07:01.319
<v Speaker 3>when I discovered several months ago and I'm surprised hasn't

153
00:07:01.360 --> 00:07:03.959
<v Speaker 3>gotten more popular because she has a really cool data

154
00:07:04.759 --> 00:07:06.319
<v Speaker 3>As a matter of fact, she's running a project called

155
00:07:06.319 --> 00:07:10.319
<v Speaker 3>the Sasqua Sasquatch Data Project, and I've found some interesting

156
00:07:10.319 --> 00:07:13.600
<v Speaker 3>stuff on there. And I know you're numbers were both numbers, guys,

157
00:07:13.639 --> 00:07:16.959
<v Speaker 3>all three of us, And yeah, and she's all about

158
00:07:16.959 --> 00:07:20.959
<v Speaker 3>the number. She's a data cruncher, kind of a math nerd,

159
00:07:21.000 --> 00:07:23.639
<v Speaker 3>which is exactly what we need. So welcome to the

160
00:07:23.680 --> 00:07:24.680
<v Speaker 3>show Terrestrial.

161
00:07:25.279 --> 00:07:25.680
<v Speaker 4>Thank you.

162
00:07:25.879 --> 00:07:28.079
<v Speaker 5>I'm so excited to be here, and just thank you

163
00:07:28.120 --> 00:07:29.279
<v Speaker 5>guys so much for inviting me.

164
00:07:29.800 --> 00:07:32.199
<v Speaker 2>Oh, our pleasure, our pleasure. And I do have to admit,

165
00:07:32.240 --> 00:07:35.519
<v Speaker 2>and I'm sorry to say this, I didn't know anything

166
00:07:35.560 --> 00:07:37.680
<v Speaker 2>about what was going on. I've heard some whispers in

167
00:07:37.720 --> 00:07:40.279
<v Speaker 2>the background or whatever that there's a woman out there

168
00:07:40.319 --> 00:07:42.959
<v Speaker 2>doing great data work. But I figured it'll across my

169
00:07:43.120 --> 00:07:45.120
<v Speaker 2>plate when it needs to, and I guess it finally did.

170
00:07:45.279 --> 00:07:47.160
<v Speaker 2>So I didn't even know you existed. So I think

171
00:07:47.160 --> 00:07:49.279
<v Speaker 2>in one way it's going to be great because Bobo

172
00:07:49.439 --> 00:07:51.839
<v Speaker 2>and even Matt they know about what you're doing. They've

173
00:07:51.839 --> 00:07:54.959
<v Speaker 2>been paying some attention and whatnot. But I am completely new.

174
00:07:55.680 --> 00:07:57.639
<v Speaker 2>I mean, of course I was forwarded your paper and

175
00:07:57.759 --> 00:07:59.639
<v Speaker 2>I'm looking at your website right now. But this is

176
00:07:59.639 --> 00:08:02.199
<v Speaker 2>my first exposure to all this, and I think that's

177
00:08:02.240 --> 00:08:03.360
<v Speaker 2>going to be the case for a lot of our

178
00:08:03.399 --> 00:08:06.160
<v Speaker 2>listeners as well. So I think that's going to be

179
00:08:06.160 --> 00:08:09.519
<v Speaker 2>beneficial as as a gateway between you and our listeners,

180
00:08:09.519 --> 00:08:11.360
<v Speaker 2>because I don't know much about what's going on. So

181
00:08:11.959 --> 00:08:15.279
<v Speaker 2>tell me, I guess, tell us about what's going on.

182
00:08:15.519 --> 00:08:17.160
<v Speaker 2>What are you into? This looks fascinating.

183
00:08:17.600 --> 00:08:21.639
<v Speaker 5>Yeah, So my main interest with the whole bigfoot thing

184
00:08:21.879 --> 00:08:26.560
<v Speaker 5>is the data analysis and statistical analysis part. Essentially, what

185
00:08:26.600 --> 00:08:30.800
<v Speaker 5>I'm doing is going through bigfoot witness reports and putting

186
00:08:30.800 --> 00:08:33.519
<v Speaker 5>them into a format that's optimized for data analysis.

187
00:08:34.159 --> 00:08:35.279
<v Speaker 4>So essentially I just have.

188
00:08:35.279 --> 00:08:40.320
<v Speaker 5>Like a giant spreadsheet of bigfoot witness reports and what

189
00:08:40.399 --> 00:08:44.159
<v Speaker 5>I've done is basically taken out the useful bits and

190
00:08:44.679 --> 00:08:49.080
<v Speaker 5>put this put them into this structured format. So that's

191
00:08:49.200 --> 00:08:52.080
<v Speaker 5>essentially what I'm doing. The goal is to have a

192
00:08:52.399 --> 00:08:57.080
<v Speaker 5>resource that sasquatch, you know, researchers can use for whatever

193
00:08:57.159 --> 00:08:58.679
<v Speaker 5>kind of investigations they want to do.

194
00:09:00.279 --> 00:09:00.919
<v Speaker 4>To data.

195
00:09:01.360 --> 00:09:02.960
<v Speaker 5>But I think at the core of it, that's what

196
00:09:02.960 --> 00:09:05.759
<v Speaker 5>I'm trying to do. I'm also trying to, I guess,

197
00:09:05.919 --> 00:09:10.000
<v Speaker 5>change the narrative a little bit too on what we say,

198
00:09:11.000 --> 00:09:13.320
<v Speaker 5>like within the Bigfoot field, like making sure that we

199
00:09:13.399 --> 00:09:17.000
<v Speaker 5>actually have numbers and data and information to back up

200
00:09:17.000 --> 00:09:20.480
<v Speaker 5>whatever our ideas are regarding sasquatch.

201
00:09:20.799 --> 00:09:23.399
<v Speaker 4>So I guess, in a nutshell, that's what I'm doing.

202
00:09:24.039 --> 00:09:26.320
<v Speaker 2>Well, I think that's a not only a noble mission,

203
00:09:26.320 --> 00:09:29.320
<v Speaker 2>but it's also very much needed. Years ago, I was

204
00:09:29.360 --> 00:09:32.519
<v Speaker 2>having a conversation with doctor Annata Karris about various sasquatch things,

205
00:09:32.519 --> 00:09:34.399
<v Speaker 2>and you know, she's interested in the subject, she's not

206
00:09:34.480 --> 00:09:37.240
<v Speaker 2>convinced they're real. Then she was asking me questions and

207
00:09:37.279 --> 00:09:38.679
<v Speaker 2>I was telling her what I thought and whatever, and

208
00:09:38.799 --> 00:09:41.960
<v Speaker 2>she kept challenging me, which I thought was fantastic. I

209
00:09:42.000 --> 00:09:45.559
<v Speaker 2>do like to be challenged on my assumptions, I guess.

210
00:09:45.639 --> 00:09:47.399
<v Speaker 2>And she pointed out that a lot of the things

211
00:09:47.399 --> 00:09:49.759
<v Speaker 2>that I thought I knew about sasquatches were actually just

212
00:09:49.799 --> 00:09:52.480
<v Speaker 2>assumptions because I didn't have data to back them up.

213
00:09:52.919 --> 00:09:55.039
<v Speaker 2>And that's why I'm always banging the drum on the

214
00:09:55.080 --> 00:09:58.840
<v Speaker 2>podcast and in the museum and my regular life. It's like, okay,

215
00:09:58.960 --> 00:10:01.279
<v Speaker 2>so you think that sasquatch which are responsible for this

216
00:10:01.399 --> 00:10:03.720
<v Speaker 2>or that, or whether it be stick structures or even

217
00:10:03.799 --> 00:10:06.559
<v Speaker 2>Knox for that matter, show me the data, like why

218
00:10:06.559 --> 00:10:10.360
<v Speaker 2>do you think that? And it seems like every time

219
00:10:10.399 --> 00:10:13.279
<v Speaker 2>I do a public presentation of some sort I end

220
00:10:13.360 --> 00:10:15.919
<v Speaker 2>up kind of brating the audience in some sort of way.

221
00:10:16.240 --> 00:10:18.559
<v Speaker 2>It's like, Oh, you think that, but most of you

222
00:10:18.600 --> 00:10:22.240
<v Speaker 2>are basing that on gut feelings instead of actual data.

223
00:10:22.279 --> 00:10:25.120
<v Speaker 2>Show me a sighting report of them making a TP

224
00:10:25.240 --> 00:10:28.919
<v Speaker 2>stick structure, for example, and you can't, basically, So I

225
00:10:29.159 --> 00:10:32.919
<v Speaker 2>therefore have become very skeptical in the community I think

226
00:10:32.960 --> 00:10:36.919
<v Speaker 2>in general, and not of sasquatches, but of what people claim.

227
00:10:37.200 --> 00:10:40.039
<v Speaker 2>And I'm doubting or at least questioning, I should say,

228
00:10:40.039 --> 00:10:42.600
<v Speaker 2>I think it's a better word. I'm questioning these quote

229
00:10:42.679 --> 00:10:47.080
<v Speaker 2>unquote givens of Bigfoot. They do this, they're this smart,

230
00:10:47.159 --> 00:10:49.159
<v Speaker 2>they don't do that, all that kind of stuff, the

231
00:10:49.200 --> 00:10:52.159
<v Speaker 2>things they like, the things they don't because the data

232
00:10:52.240 --> 00:10:56.000
<v Speaker 2>is lacking. And so I think the project like yours

233
00:10:56.039 --> 00:10:59.279
<v Speaker 2>is much needed for a level headed and sober talk

234
00:10:59.559 --> 00:11:00.559
<v Speaker 2>about questions.

235
00:11:01.159 --> 00:11:04.519
<v Speaker 5>Yeah, that's kind of the side that I'm coming at

236
00:11:04.519 --> 00:11:06.720
<v Speaker 5>it from, too, is like we have so many things

237
00:11:06.720 --> 00:11:10.279
<v Speaker 5>that get said and have just kind of been constantly

238
00:11:10.320 --> 00:11:14.639
<v Speaker 5>perpetuated throughout the big Foot community for decades, but there's

239
00:11:14.799 --> 00:11:17.840
<v Speaker 5>really not much to back up whatever that idea is.

240
00:11:18.720 --> 00:11:22.320
<v Speaker 5>So yeah, I'm definitely very much so trying to at

241
00:11:22.399 --> 00:11:25.799
<v Speaker 5>least provide that resource and then also maintain a very

242
00:11:25.919 --> 00:11:29.559
<v Speaker 5>neutral stance on things. Just kind of like showcase what

243
00:11:29.600 --> 00:11:33.200
<v Speaker 5>the data is saying, showcase the different patterns, and you know,

244
00:11:33.279 --> 00:11:37.039
<v Speaker 5>give some options from both like an ecological, biological or

245
00:11:37.279 --> 00:11:41.480
<v Speaker 5>you know, even humanistic side of things as to you know,

246
00:11:41.519 --> 00:11:45.200
<v Speaker 5>what the patterns could be showcasing. Really it's up to interpretation.

247
00:11:45.799 --> 00:11:50.080
<v Speaker 5>But yeah, I definitely am trying to at least drive

248
00:11:50.159 --> 00:11:53.399
<v Speaker 5>home that idea that like this is you know, actually,

249
00:11:53.559 --> 00:11:55.480
<v Speaker 5>at least for what I have access to, this is

250
00:11:55.480 --> 00:11:58.320
<v Speaker 5>what the data is saying. Here are some options. But

251
00:11:58.360 --> 00:12:01.120
<v Speaker 5>also I try not to really pick a side on anything.

252
00:12:01.200 --> 00:12:02.840
<v Speaker 5>I try to try to stay neutral.

253
00:12:03.519 --> 00:12:06.840
<v Speaker 2>Yeah, and numbers are very neutral, I think, and in

254
00:12:06.919 --> 00:12:11.320
<v Speaker 2>general I think if the numbers indicate something is probably real,

255
00:12:11.600 --> 00:12:14.679
<v Speaker 2>then it probably is real. And you know, you're also

256
00:12:14.720 --> 00:12:17.000
<v Speaker 2>making new ground here. The only other person I'm aware

257
00:12:17.039 --> 00:12:18.759
<v Speaker 2>of that's in a pretty good job that got some

258
00:12:18.799 --> 00:12:21.879
<v Speaker 2>attention and published something was doctor Henry Fahrenbach. Of course,

259
00:12:22.559 --> 00:12:25.960
<v Speaker 2>with the size scaling statistic paper that he wrote and

260
00:12:25.960 --> 00:12:28.519
<v Speaker 2>I think is still available on the BFRO website. I

261
00:12:28.519 --> 00:12:29.720
<v Speaker 2>think Matt is that true.

262
00:12:30.320 --> 00:12:32.559
<v Speaker 1>It is, and that's a great paper. There's also a

263
00:12:32.559 --> 00:12:35.519
<v Speaker 1>great paper by King at All that I think was

264
00:12:35.799 --> 00:12:38.120
<v Speaker 1>there was a lot of contribution from Richard Greenwell that

265
00:12:38.440 --> 00:12:42.440
<v Speaker 1>studied Green's database, John Green's database statistically. That's really good.

266
00:12:42.440 --> 00:12:43.919
<v Speaker 1>That came out a few years ago. So I'll linked

267
00:12:43.960 --> 00:12:46.080
<v Speaker 1>that in the show notes as well. But I was

268
00:12:46.120 --> 00:12:49.360
<v Speaker 1>fortunate enough to speak to Terrestrial recently, and you know,

269
00:12:49.399 --> 00:12:50.919
<v Speaker 1>I think it'd be good for the audience to sort

270
00:12:50.919 --> 00:12:53.600
<v Speaker 1>of explain to them maybe a bit about your professional

271
00:12:53.679 --> 00:12:56.639
<v Speaker 1>background and qualifications. You know, I learned so much about

272
00:12:56.639 --> 00:12:58.519
<v Speaker 1>your project and what you were doing through the lens

273
00:12:58.600 --> 00:13:00.600
<v Speaker 1>of your background and experience. I think that would be

274
00:13:00.639 --> 00:13:01.759
<v Speaker 1>great for people to learn about.

275
00:13:02.320 --> 00:13:02.559
<v Speaker 4>Yeah.

276
00:13:02.639 --> 00:13:07.240
<v Speaker 5>So I have a Bachelor's of Science from the Georgia

277
00:13:07.279 --> 00:13:10.799
<v Speaker 5>Institute of Technology or Georgia Tech, and I studied Earth

278
00:13:10.840 --> 00:13:13.559
<v Speaker 5>and atmospheric sciences while I was there, but more so

279
00:13:13.799 --> 00:13:15.000
<v Speaker 5>like planetary science.

280
00:13:15.279 --> 00:13:16.840
<v Speaker 4>I'm a big like space.

281
00:13:16.639 --> 00:13:21.000
<v Speaker 5>Nerd, so my degree was very much so tailored towards that.

282
00:13:22.159 --> 00:13:23.960
<v Speaker 5>But while I was at Georgia Tech, I had a

283
00:13:24.080 --> 00:13:27.080
<v Speaker 5>really cool opportunity to work on a NASA mission called

284
00:13:27.080 --> 00:13:30.200
<v Speaker 5>the Dawn Mission, and I did that for about three years.

285
00:13:30.440 --> 00:13:33.200
<v Speaker 4>So through that experience, it really.

286
00:13:33.039 --> 00:13:38.559
<v Speaker 5>Opened my eyes as to the level of research that's

287
00:13:38.600 --> 00:13:43.440
<v Speaker 5>required to make you know, contributions to just your field

288
00:13:43.559 --> 00:13:47.159
<v Speaker 5>or science in general. And I also had just really

289
00:13:47.240 --> 00:13:50.240
<v Speaker 5>I had a really great professor that I was working

290
00:13:50.360 --> 00:13:52.720
<v Speaker 5>under who was like, you know, working on this mission,

291
00:13:52.759 --> 00:13:55.320
<v Speaker 5>and she really she basically gave me a really great

292
00:13:55.320 --> 00:13:59.720
<v Speaker 5>opportunity to lead this team of undergrads in this research

293
00:13:59.759 --> 00:14:03.360
<v Speaker 5>that we were doing on regarding the dwarf planet series,

294
00:14:04.679 --> 00:14:07.960
<v Speaker 5>and I was really given a lot of uh like

295
00:14:08.120 --> 00:14:10.840
<v Speaker 5>freedom and liberties to kind of take the project how

296
00:14:10.879 --> 00:14:14.240
<v Speaker 5>I wanted to, but I also was expected to research

297
00:14:14.279 --> 00:14:15.960
<v Speaker 5>at you know, a certain level so that we could

298
00:14:15.960 --> 00:14:19.399
<v Speaker 5>get papers published and contribute to the team and whatnot.

299
00:14:19.720 --> 00:14:24.600
<v Speaker 5>So that experience working on Dawn really has created the

300
00:14:24.639 --> 00:14:28.480
<v Speaker 5>foundation of what I'm trying to create with the Sasquatch

301
00:14:28.519 --> 00:14:32.399
<v Speaker 5>Data project. I've definitely taken a lot of the things

302
00:14:32.399 --> 00:14:35.600
<v Speaker 5>that I learned from that experience and a lot of

303
00:14:35.639 --> 00:14:40.039
<v Speaker 5>the research methodologies that we used, and I'm trying to

304
00:14:40.080 --> 00:14:42.679
<v Speaker 5>apply that to you know, the sasquatch topic.

305
00:14:44.679 --> 00:14:47.720
<v Speaker 2>Stay tuned for more Bigfoot and Beyond with Cliff and

306
00:14:47.759 --> 00:14:56.120
<v Speaker 2>Bobo will be right back after these messages. But were

307
00:14:56.120 --> 00:15:00.600
<v Speaker 2>you starting to notice a thinning hair? Who me maybe

308
00:15:01.879 --> 00:15:05.159
<v Speaker 2>a little a little hair left or a little thinning

309
00:15:05.200 --> 00:15:08.320
<v Speaker 2>hair both. Well, I've got good news for you. Bobo

310
00:15:08.559 --> 00:15:12.240
<v Speaker 2>Hymns offers access to prescription treatments for regrowing hair and

311
00:15:12.320 --> 00:15:14.639
<v Speaker 2>as little as three to six months, so you can

312
00:15:14.679 --> 00:15:17.240
<v Speaker 2>see a fuller head of hair like Bobo in the

313
00:15:17.279 --> 00:15:18.840
<v Speaker 2>old days by fall.

314
00:15:19.360 --> 00:15:21.919
<v Speaker 3>That'd be nice having a fresh fall crop to harvest.

315
00:15:22.519 --> 00:15:25.720
<v Speaker 2>So Sweet Hymns offers convenient access to a range of

316
00:15:25.720 --> 00:15:29.840
<v Speaker 2>prescription hair loss treatments with ingredients at work, including choose

317
00:15:30.279 --> 00:15:33.039
<v Speaker 2>oral medication, serums and sprays.

318
00:15:33.320 --> 00:15:36.320
<v Speaker 3>Yep, doctors trust this stuff. It's been clinically proven. It's

319
00:15:36.360 --> 00:15:39.879
<v Speaker 3>got ingredients like finesteride an oxidil, and that stuff can

320
00:15:39.919 --> 00:15:41.559
<v Speaker 3>stop hair loss and we go hair in as little

321
00:15:41.559 --> 00:15:43.000
<v Speaker 3>as three to six months.

322
00:15:43.360 --> 00:15:46.039
<v Speaker 2>You can get started from the comfort of your own home, cave,

323
00:15:46.159 --> 00:15:48.480
<v Speaker 2>motor home, or wherever you happen to be by filling

324
00:15:48.480 --> 00:15:51.759
<v Speaker 2>out an intake form and a medical provider will determine

325
00:15:51.840 --> 00:15:56.080
<v Speaker 2>if treatment is right for you. If prescribed, your treatment

326
00:15:56.159 --> 00:15:58.399
<v Speaker 2>is sent directly to you for free.

327
00:15:58.960 --> 00:16:02.200
<v Speaker 3>The process is one hundred online, which means getting started

328
00:16:02.240 --> 00:16:04.679
<v Speaker 3>has never been more convenient, and even if sasquats can

329
00:16:04.759 --> 00:16:06.000
<v Speaker 3>do it, it's so easy.

330
00:16:06.200 --> 00:16:10.080
<v Speaker 2>No insurance is needed and one low price covers everything

331
00:16:10.159 --> 00:16:14.559
<v Speaker 2>from treatments to ongoing care. Plus treatment options start at

332
00:16:14.600 --> 00:16:18.279
<v Speaker 2>just thirty five dollars a month. Start your free online

333
00:16:18.360 --> 00:16:21.600
<v Speaker 2>visit today at hymns dot com slash beyond.

334
00:16:22.159 --> 00:16:27.600
<v Speaker 3>That's hims dot com slash beyond for personalized hair loss treatment.

335
00:16:27.240 --> 00:16:30.240
<v Speaker 2>Options hymns dot com slash beyond.

336
00:16:30.720 --> 00:16:33.919
<v Speaker 1>Individual results may vary based on studies of topical and

337
00:16:34.039 --> 00:16:35.799
<v Speaker 1>oral monoxidil and finasteride.

338
00:16:35.879 --> 00:16:37.000
<v Speaker 3>Prescription required.

339
00:16:37.200 --> 00:16:40.840
<v Speaker 1>See website for full details, restrictions and important safety information.

340
00:16:42.240 --> 00:16:44.519
<v Speaker 3>You took on some topics that we've talked about the

341
00:16:44.519 --> 00:16:47.360
<v Speaker 3>community for years and years, and like Matt was saying,

342
00:16:47.399 --> 00:16:49.440
<v Speaker 3>like there's people who have done work with John Green's

343
00:16:49.480 --> 00:16:53.480
<v Speaker 3>data and PFRO data, but I like, like you took

344
00:16:53.519 --> 00:16:57.159
<v Speaker 3>on some like obvious ones that you know, seeing the

345
00:16:57.480 --> 00:17:01.200
<v Speaker 3>numbers is interesting, like the whole thing about size, like

346
00:17:01.600 --> 00:17:04.519
<v Speaker 3>Bergmann's law applying to sasquatch, like the ones in the southeast,

347
00:17:04.519 --> 00:17:07.599
<v Speaker 3>the skunk apes are smaller, and the ones in the

348
00:17:07.640 --> 00:17:11.440
<v Speaker 3>west Northwest are bigger, uh, you know, up north especially,

349
00:17:12.000 --> 00:17:14.240
<v Speaker 3>and that the ones in the south were meaner, more aggressive,

350
00:17:14.279 --> 00:17:16.799
<v Speaker 3>and the ones in the northwest are more passive, and

351
00:17:17.400 --> 00:17:21.759
<v Speaker 3>your data, like, you know, just those assumptions got you know, dismissed.

352
00:17:22.480 --> 00:17:25.720
<v Speaker 5>Yeah, and that's a that's definitely part of the basis

353
00:17:25.759 --> 00:17:29.440
<v Speaker 5>of what I'm trying to do. And you know, and

354
00:17:29.799 --> 00:17:32.240
<v Speaker 5>all of this too is kind of preliminary because I'm

355
00:17:32.240 --> 00:17:35.480
<v Speaker 5>still working on going through all of the BFRO reports

356
00:17:35.960 --> 00:17:38.920
<v Speaker 5>and you know, things definitely can change over time. I'm

357
00:17:39.039 --> 00:17:41.640
<v Speaker 5>very open to that, very open to being wrong too

358
00:17:41.680 --> 00:17:44.799
<v Speaker 5>about my interpretation of the data at different points. But

359
00:17:45.200 --> 00:17:47.200
<v Speaker 5>it is important to note that, you know, if we

360
00:17:47.240 --> 00:17:51.039
<v Speaker 5>are looking at things regionally, I've basically gotten the southern

361
00:17:51.079 --> 00:17:55.039
<v Speaker 5>and the western regions done, uh for reports, Like you know,

362
00:17:55.759 --> 00:17:58.200
<v Speaker 5>these things that have been said for so long are

363
00:17:58.240 --> 00:18:01.680
<v Speaker 5>not necessarily reflect and the data, and I think it's

364
00:18:01.680 --> 00:18:06.240
<v Speaker 5>really important to start acknowledging that. And instead of that,

365
00:18:06.480 --> 00:18:09.839
<v Speaker 5>I guess bumming us out, like making us excited that

366
00:18:09.839 --> 00:18:13.599
<v Speaker 5>there's new questions to be asked, right, there's more information

367
00:18:15.039 --> 00:18:17.200
<v Speaker 5>to be and to be learned and to be brought

368
00:18:17.200 --> 00:18:21.200
<v Speaker 5>to light, and that's been admittedly one of the most

369
00:18:21.240 --> 00:18:25.480
<v Speaker 5>fun parts about this is seeing like which things hold

370
00:18:25.599 --> 00:18:28.000
<v Speaker 5>up when you start running the numbers and which just

371
00:18:28.160 --> 00:18:29.400
<v Speaker 5>kind of fall apart.

372
00:18:29.599 --> 00:18:32.759
<v Speaker 2>Yeah, I think you hit upon something that's really interesting

373
00:18:32.799 --> 00:18:35.359
<v Speaker 2>that I've noticed in the Bigfoot community for a long time.

374
00:18:35.880 --> 00:18:39.960
<v Speaker 2>In these sacred cows that get slaughtered every once in

375
00:18:40.039 --> 00:18:42.960
<v Speaker 2>a while. You seem to like that, and I love it.

376
00:18:43.400 --> 00:18:45.839
<v Speaker 2>I absolutely love it. And some of my sacred cows

377
00:18:45.839 --> 00:18:50.920
<v Speaker 2>have been slaughtered mercilessly over the years. And I think

378
00:18:50.920 --> 00:18:53.920
<v Speaker 2>that a lot of people don't like that. They're uncomfortable

379
00:18:54.000 --> 00:18:58.960
<v Speaker 2>with their assumptions being incorrect. They're uncomfortable with maybe having

380
00:18:58.960 --> 00:19:01.680
<v Speaker 2>to admit their in some sort of way. But it

381
00:19:01.680 --> 00:19:05.039
<v Speaker 2>seems to me or even uncomfortable thinking that they don't

382
00:19:05.079 --> 00:19:08.200
<v Speaker 2>know something. I know several Bigfooters that seem to have

383
00:19:08.240 --> 00:19:10.400
<v Speaker 2>an answer for everything, and there's no way they could

384
00:19:10.400 --> 00:19:12.319
<v Speaker 2>know that sort of stuff, but they they've got it

385
00:19:12.319 --> 00:19:14.680
<v Speaker 2>in their head, right. And it's not just big Footers.

386
00:19:14.680 --> 00:19:17.759
<v Speaker 2>I mean that's and then everything that's in you know,

387
00:19:17.839 --> 00:19:21.319
<v Speaker 2>politics or religion or economics or any any subject. People

388
00:19:21.359 --> 00:19:24.160
<v Speaker 2>think these things and they hold on to them very

389
00:19:24.240 --> 00:19:27.799
<v Speaker 2>very tightly. But what so many people don't keep in mind,

390
00:19:27.960 --> 00:19:30.759
<v Speaker 2>I think at least, is that you kind of have

391
00:19:30.839 --> 00:19:32.839
<v Speaker 2>to be wrong to grow. You kind of have to

392
00:19:32.839 --> 00:19:37.160
<v Speaker 2>not know things in order to learn. You know, a

393
00:19:37.200 --> 00:19:39.839
<v Speaker 2>container is only useful if it's empty, so to speak.

394
00:19:40.599 --> 00:19:42.519
<v Speaker 2>You can't put anything in there if it's already full

395
00:19:42.559 --> 00:19:45.440
<v Speaker 2>of stuff, you know. I think I'm a pretty decent

396
00:19:45.480 --> 00:19:47.480
<v Speaker 2>example of it, because I'm on television, you know, saying

397
00:19:47.480 --> 00:19:49.720
<v Speaker 2>that the London tracks are real and they're not. I

398
00:19:49.799 --> 00:19:53.000
<v Speaker 2>learned after the TV show actually been aired, through my

399
00:19:53.039 --> 00:19:56.640
<v Speaker 2>own experimentation and research, that these things are almost they

400
00:19:56.640 --> 00:20:00.000
<v Speaker 2>are certainly fake prints, you know. But today there's even

401
00:20:00.079 --> 00:20:02.839
<v Speaker 2>people out there today that still think they're real. And

402
00:20:03.119 --> 00:20:06.599
<v Speaker 2>one person even suggested that the a real Sasquatch made

403
00:20:06.680 --> 00:20:10.039
<v Speaker 2>its own footprints look like fake stompers in order to

404
00:20:10.039 --> 00:20:13.200
<v Speaker 2>fool me. So there's a lot of ridiculous straws being

405
00:20:13.279 --> 00:20:17.079
<v Speaker 2>grasped at, I think. But to admit one is wrong,

406
00:20:17.160 --> 00:20:20.160
<v Speaker 2>or to learn that, like your sacred cow has been slaughtered,

407
00:20:20.559 --> 00:20:22.880
<v Speaker 2>that that maybe they don't do these things that you

408
00:20:22.920 --> 00:20:26.079
<v Speaker 2>thought they did, that's an important step in growth and

409
00:20:26.200 --> 00:20:27.599
<v Speaker 2>learning about this subject.

410
00:20:28.200 --> 00:20:30.599
<v Speaker 5>Yeah, absolutely, yeah, it is. It is one of my

411
00:20:30.640 --> 00:20:33.839
<v Speaker 5>favorite things to do, like just to be honest, like

412
00:20:34.079 --> 00:20:37.519
<v Speaker 5>I love I love challenging these ideas and and even

413
00:20:37.599 --> 00:20:41.000
<v Speaker 5>challenging my own ideas, like you know, I form my

414
00:20:41.119 --> 00:20:43.480
<v Speaker 5>own hypotheses about things and then it turns out I'm

415
00:20:43.519 --> 00:20:44.079
<v Speaker 5>totally wrong.

416
00:20:44.880 --> 00:20:45.640
<v Speaker 4>But it's good to know.

417
00:20:45.759 --> 00:20:48.079
<v Speaker 5>And like you said, that's exactly how you learn, and

418
00:20:48.119 --> 00:20:51.240
<v Speaker 5>that's how we you know, create a solid foundation to

419
00:20:51.559 --> 00:20:56.039
<v Speaker 5>uncover potentially something even cooler. You know, it forces us

420
00:20:56.119 --> 00:21:00.119
<v Speaker 5>to ask better questions, I think when we start seeing

421
00:21:00.160 --> 00:21:02.960
<v Speaker 5>these things not necessarily pan out like how we want

422
00:21:03.000 --> 00:21:07.319
<v Speaker 5>them to. So yeah, that's definitely one of my main

423
00:21:07.319 --> 00:21:11.079
<v Speaker 5>interests with this. And I really love taking like people's

424
00:21:11.160 --> 00:21:14.039
<v Speaker 5>questions and whatnot and then just going into the data

425
00:21:14.079 --> 00:21:17.839
<v Speaker 5>set and seeing if you know, the seeing how the

426
00:21:17.880 --> 00:21:22.039
<v Speaker 5>answer kind of falls, and seeing if the ideas behind

427
00:21:22.079 --> 00:21:24.759
<v Speaker 5>it are potentially supported or not.

428
00:21:25.519 --> 00:21:27.559
<v Speaker 3>One of the studies you did was on skull shape

429
00:21:27.559 --> 00:21:30.160
<v Speaker 3>Are they rounded or are they chronical? And I was thinking

430
00:21:30.200 --> 00:21:32.519
<v Speaker 3>like that that was that was a good because we

431
00:21:32.559 --> 00:21:35.279
<v Speaker 3>talk about like the big males having like the psychomatic

432
00:21:35.359 --> 00:21:39.000
<v Speaker 3>arches and the saginal crest, and you know, we have

433
00:21:39.119 --> 00:21:41.319
<v Speaker 3>this like kind of images in our mind and you

434
00:21:41.400 --> 00:21:43.400
<v Speaker 3>kind of went through and broke that all down. I

435
00:21:43.960 --> 00:21:45.680
<v Speaker 3>thought that was great. But another thing I thought would

436
00:21:45.680 --> 00:21:48.680
<v Speaker 3>be interesting was that a lot of these I've read

437
00:21:48.960 --> 00:21:50.799
<v Speaker 3>reports of the people have done I went to sketches

438
00:21:50.839 --> 00:21:55.200
<v Speaker 3>to when the sketch artist you know, does the drawing

439
00:21:55.240 --> 00:21:58.400
<v Speaker 3>of the subject they saw. You know, it'd be interesting

440
00:21:58.400 --> 00:22:01.240
<v Speaker 3>to see of those drawings of the sketches, which ones

441
00:22:01.400 --> 00:22:05.519
<v Speaker 3>have conical or non conical, like you know, dome shape

442
00:22:05.640 --> 00:22:09.000
<v Speaker 3>or what do you call it again, domed or is

443
00:22:09.000 --> 00:22:10.400
<v Speaker 3>that say, is that the word you used?

444
00:22:10.880 --> 00:22:14.160
<v Speaker 4>Yeah, just like well the headshapes. It was kind of interesting.

445
00:22:14.200 --> 00:22:18.279
<v Speaker 5>They actually fell into four different categories, which was kind

446
00:22:18.279 --> 00:22:22.400
<v Speaker 5>of unexpected. It was conical, domed, round, and then square,

447
00:22:22.799 --> 00:22:24.160
<v Speaker 5>which that one was.

448
00:22:24.200 --> 00:22:24.920
<v Speaker 4>Kind of interesting.

449
00:22:25.519 --> 00:22:28.799
<v Speaker 5>But yeah, that was one of the I just ran

450
00:22:28.880 --> 00:22:31.119
<v Speaker 5>those numbers the other day actually, or a couple of

451
00:22:31.160 --> 00:22:34.559
<v Speaker 5>weeks ago, and that was something that surprised me because

452
00:22:34.880 --> 00:22:37.359
<v Speaker 5>it's often said that like the conical head, that's like

453
00:22:37.400 --> 00:22:43.799
<v Speaker 5>the iconic you know, feature of a legitimate sasquatch sighting. Right,

454
00:22:44.440 --> 00:22:48.319
<v Speaker 5>Conical heads are more so reported over rounded heads, but

455
00:22:48.400 --> 00:22:53.839
<v Speaker 5>rounded heads make up you know, a significant part of Yeah,

456
00:22:53.880 --> 00:22:55.880
<v Speaker 5>it was like it was like almost half yeah, like

457
00:22:55.920 --> 00:22:58.759
<v Speaker 5>forty percent of sighting reports. And there's a couple of

458
00:22:58.759 --> 00:23:01.319
<v Speaker 5>different ways to take that too. It's like, well, you know,

459
00:23:01.759 --> 00:23:06.200
<v Speaker 5>to a human witness whose brain is conditioned on you know,

460
00:23:06.279 --> 00:23:09.880
<v Speaker 5>more human features, which is a rounded head, are folks

461
00:23:09.960 --> 00:23:12.720
<v Speaker 5>just not bringing up the head shape because it's not

462
00:23:12.839 --> 00:23:15.160
<v Speaker 5>odd so it doesn't stick out to them, so therefore

463
00:23:15.160 --> 00:23:15.960
<v Speaker 5>they don't mention it.

464
00:23:16.160 --> 00:23:17.640
<v Speaker 4>Or where like.

465
00:23:17.559 --> 00:23:20.400
<v Speaker 5>A more conical head, like you know, a gorilla or

466
00:23:20.440 --> 00:23:24.519
<v Speaker 5>something that's more notable. So our folks just like bringing

467
00:23:24.559 --> 00:23:27.279
<v Speaker 5>that up more? Or is it really you know, this

468
00:23:27.480 --> 00:23:32.000
<v Speaker 5>like roughly sixty forty split on head shapes and like

469
00:23:32.759 --> 00:23:35.799
<v Speaker 5>to go back to like the idea that the conical

470
00:23:35.839 --> 00:23:39.440
<v Speaker 5>head shape could be like a sexually dimorphic trait. You know,

471
00:23:39.480 --> 00:23:42.200
<v Speaker 5>I ran numbers and again this is all you know.

472
00:23:42.240 --> 00:23:44.960
<v Speaker 5>It could change, but as things stand right now, there's

473
00:23:45.079 --> 00:23:48.640
<v Speaker 5>really no difference in the height estimates or the body

474
00:23:48.680 --> 00:23:53.559
<v Speaker 5>builds of sasquatches between like conical heads and rounded heads.

475
00:23:54.200 --> 00:23:59.640
<v Speaker 5>Their average heights were exactly the same, and the body builds,

476
00:23:59.640 --> 00:24:02.799
<v Speaker 5>like whether they were more muscular and large or more

477
00:24:02.880 --> 00:24:03.839
<v Speaker 5>lenky and lean.

478
00:24:03.920 --> 00:24:04.640
<v Speaker 4>They didn't differ.

479
00:24:05.000 --> 00:24:07.799
<v Speaker 5>So it's just looking at these things are it's just

480
00:24:07.839 --> 00:24:10.720
<v Speaker 5>so interesting to me. And obviously we can't draw any

481
00:24:10.839 --> 00:24:15.200
<v Speaker 5>like definitive conclusions from this, but it's worth at least

482
00:24:15.559 --> 00:24:18.960
<v Speaker 5>discussing and bringing to light that things might not be

483
00:24:19.759 --> 00:24:21.799
<v Speaker 5>laying out as we had envisioned.

484
00:24:22.519 --> 00:24:24.759
<v Speaker 3>I didn't really make myself clear on that I was saying.

485
00:24:24.920 --> 00:24:26.759
<v Speaker 3>What I was trying to say was that it'd be

486
00:24:26.759 --> 00:24:28.920
<v Speaker 3>interesting to you know, get all these because there's been

487
00:24:28.960 --> 00:24:30.960
<v Speaker 3>a lot of compositive sketches about like you know, like

488
00:24:31.240 --> 00:24:34.359
<v Speaker 3>you know, skilled artists doing what just you know, drawing

489
00:24:34.359 --> 00:24:37.200
<v Speaker 3>a drawing of what the person says they saw. It'd

490
00:24:37.240 --> 00:24:39.000
<v Speaker 3>be interesting to you know, just from the drawings go

491
00:24:39.079 --> 00:24:42.039
<v Speaker 3>by and you know, analyze which is fits those shape

492
00:24:42.200 --> 00:24:45.119
<v Speaker 3>shaped heads and then go back and compare if they

493
00:24:45.240 --> 00:24:48.480
<v Speaker 3>mentioned the reporter not head shape, or you know, like uh,

494
00:24:48.720 --> 00:24:51.799
<v Speaker 3>it'd be another way to kind of get factor in

495
00:24:51.839 --> 00:24:55.000
<v Speaker 3>the human the human factor, like the how the human

496
00:24:55.519 --> 00:24:59.279
<v Speaker 3>perception enters the equation because someone might say, you know,

497
00:24:59.279 --> 00:25:00.880
<v Speaker 3>I just said, like they don't mention anying about the

498
00:25:00.920 --> 00:25:02.640
<v Speaker 3>head of them, and they do the drawing, it's obvious

499
00:25:02.720 --> 00:25:07.359
<v Speaker 3>got to pronounce conical head or or the opposite. You know,

500
00:25:07.440 --> 00:25:10.200
<v Speaker 3>it just kind of seemed to see what people mentioned

501
00:25:10.440 --> 00:25:13.920
<v Speaker 3>and then what comes out in drawings, you know. Yeah, No, that.

502
00:25:13.839 --> 00:25:16.240
<v Speaker 5>Would be interesting to kind of compare like, yeah, what

503
00:25:16.319 --> 00:25:18.319
<v Speaker 5>the witness thought to bring up when they were talking

504
00:25:18.519 --> 00:25:21.160
<v Speaker 5>potentially with like the follow up investigator versus what they

505
00:25:21.200 --> 00:25:25.400
<v Speaker 5>mentioned with the sketch artists. Yeah, you could probably do

506
00:25:25.480 --> 00:25:30.319
<v Speaker 5>like an entire study on that in itself, just from

507
00:25:31.079 --> 00:25:33.680
<v Speaker 5>a purely like a psychological standpoint, right.

508
00:25:34.200 --> 00:25:36.000
<v Speaker 3>Yeah, because I think there is a I think there

509
00:25:36.039 --> 00:25:38.319
<v Speaker 3>is a sexually dimorphic difference between the males and the females.

510
00:25:38.359 --> 00:25:41.880
<v Speaker 3>I mean, the females seemed to be shorter, squattier, you know,

511
00:25:41.960 --> 00:25:45.160
<v Speaker 3>more brick shaped, and the males I got that pronounced

512
00:25:45.200 --> 00:25:46.680
<v Speaker 3>you know a lot of them got that pronounced V.

513
00:25:47.200 --> 00:25:49.640
<v Speaker 3>Upper body you know, like the broad, broad shoulders, more

514
00:25:49.720 --> 00:25:52.359
<v Speaker 3>tapered down, whereas the female seemed to be more like,

515
00:25:52.880 --> 00:25:56.519
<v Speaker 3>you know, just all the way down, you know, stocky.

516
00:25:56.559 --> 00:25:59.359
<v Speaker 2>Well that's that's a thing, right. So, have you done

517
00:25:59.359 --> 00:26:03.000
<v Speaker 2>any work on where the sex of the animal was clear,

518
00:26:03.119 --> 00:26:05.279
<v Speaker 2>you know, some genitalia or breast or something like that

519
00:26:05.359 --> 00:26:09.319
<v Speaker 2>was visible with body shape? Is there any correlation or

520
00:26:09.319 --> 00:26:11.559
<v Speaker 2>anything that you've explored in that realm as far as your.

521
00:26:11.480 --> 00:26:15.119
<v Speaker 5>Data so as things stand right now, I really don't

522
00:26:15.119 --> 00:26:20.000
<v Speaker 5>have enough data to look into that. So far, I've

523
00:26:20.359 --> 00:26:23.680
<v Speaker 5>I've gone through just over twenty five hundred reports now

524
00:26:24.119 --> 00:26:28.160
<v Speaker 5>and literally less than five of them actually mentioned like

525
00:26:28.200 --> 00:26:32.920
<v Speaker 5>a definitive sex of the Sasquatch. And unfortunately that's not

526
00:26:33.279 --> 00:26:36.200
<v Speaker 5>enough to you know, do any kind of analysis on.

527
00:26:36.880 --> 00:26:39.119
<v Speaker 4>So I really can't I really can't say right now.

528
00:26:39.559 --> 00:26:42.359
<v Speaker 5>But you know, maybe as I go through more reports

529
00:26:42.440 --> 00:26:44.880
<v Speaker 5>that might come up, or I might you know, have

530
00:26:44.920 --> 00:26:46.920
<v Speaker 5>a large enough sample size to look into it. But

531
00:26:47.039 --> 00:26:49.799
<v Speaker 5>it is definitely something I'm interested in is start, you know,

532
00:26:49.880 --> 00:26:54.000
<v Speaker 5>to make those are to start looking into those different

533
00:26:54.599 --> 00:26:56.519
<v Speaker 5>features and see if there is kind of any kind

534
00:26:56.559 --> 00:26:59.960
<v Speaker 5>of correlation. But as things stand right now, I unfortunately

535
00:27:00.160 --> 00:27:01.279
<v Speaker 5>cannot do that.

536
00:27:02.200 --> 00:27:03.920
<v Speaker 3>You'll eventually find out that is the case.

537
00:27:04.599 --> 00:27:05.480
<v Speaker 4>I guess we'll find out.

538
00:27:05.519 --> 00:27:09.759
<v Speaker 2>We'll see you'll eventually find out that Bilbo is correct.

539
00:27:10.240 --> 00:27:14.160
<v Speaker 2>From a statistical perspective, how many reports do you need

540
00:27:14.160 --> 00:27:16.799
<v Speaker 2>to have a meaningful data set to get to the

541
00:27:16.839 --> 00:27:19.400
<v Speaker 2>bottom of us? They think, so some of these answers

542
00:27:19.440 --> 00:27:22.799
<v Speaker 2>are to these questions we're asking might just start coming

543
00:27:22.839 --> 00:27:25.880
<v Speaker 2>into focus. It's clearly the Bigfoot data. Even though there's

544
00:27:25.920 --> 00:27:28.839
<v Speaker 2>you know, thousands of reports, it's still pretty slim. So

545
00:27:28.880 --> 00:27:31.200
<v Speaker 2>how many do you actually need to get something meaningful?

546
00:27:31.799 --> 00:27:34.440
<v Speaker 5>Yeah, so it kind of depends on these statistical tests

547
00:27:34.480 --> 00:27:37.400
<v Speaker 5>that you're running and the analysis that you're trying to do.

548
00:27:37.480 --> 00:27:42.279
<v Speaker 5>But typically if you have anywhere from thirty to fifty

549
00:27:42.480 --> 00:27:46.200
<v Speaker 5>data points per category, like that will give you a

550
00:27:46.240 --> 00:27:49.160
<v Speaker 5>pretty solid idea of what you're working with. I think,

551
00:27:49.240 --> 00:27:52.519
<v Speaker 5>you know, for some statistical tests, you really only need

552
00:27:53.119 --> 00:27:56.720
<v Speaker 5>if I'm remembering correctly, like five data points. But you know,

553
00:27:56.839 --> 00:28:02.160
<v Speaker 5>for me to feel comfortable or even moderately confident in

554
00:28:02.200 --> 00:28:04.039
<v Speaker 5>what I'm saying, I really like to shoot for like

555
00:28:04.200 --> 00:28:08.119
<v Speaker 5>thirty to fifty data point range. And you know, you

556
00:28:08.240 --> 00:28:11.160
<v Speaker 5>touched on something pretty interesting, which is that, Yeah, most

557
00:28:11.160 --> 00:28:13.599
<v Speaker 5>of the reports that I go through, they honestly don't

558
00:28:13.880 --> 00:28:16.440
<v Speaker 5>contain that much information. And I think that was one

559
00:28:16.440 --> 00:28:18.920
<v Speaker 5>of the most surprising things to me when I started

560
00:28:19.680 --> 00:28:22.039
<v Speaker 5>like looking into this and I started trying to pull

561
00:28:22.039 --> 00:28:25.799
<v Speaker 5>out information from the reports with how much there wasn't

562
00:28:25.920 --> 00:28:27.240
<v Speaker 5>Like there weren't in.

563
00:28:27.200 --> 00:28:28.119
<v Speaker 4>The majority of reports.

564
00:28:28.160 --> 00:28:31.319
<v Speaker 5>There's really not a ton of information that you can

565
00:28:31.519 --> 00:28:34.880
<v Speaker 5>draw out of them. Just for example, like I've gone

566
00:28:34.920 --> 00:28:38.400
<v Speaker 5>through so many Class A siding reports that don't even

567
00:28:38.440 --> 00:28:40.160
<v Speaker 5>have like a hair color mentioned.

568
00:28:40.680 --> 00:28:42.880
<v Speaker 3>That's probably the most easy. That's probably the most documented one,

569
00:28:42.880 --> 00:28:44.440
<v Speaker 3>I'd imagine, isn't it hair color?

570
00:28:45.359 --> 00:28:49.200
<v Speaker 5>Yes, hair color is one of the most documented features.

571
00:28:49.920 --> 00:28:52.680
<v Speaker 5>I would follow that up with probably height, but hair color,

572
00:28:52.680 --> 00:28:56.359
<v Speaker 5>if anything, usually is reported. But I mean, it's it's

573
00:28:56.359 --> 00:29:00.279
<v Speaker 5>honestly surprising how many reports don't even you know, just

574
00:29:00.559 --> 00:29:03.920
<v Speaker 5>mentioned that the hike can get a little tricky, because

575
00:29:04.160 --> 00:29:08.680
<v Speaker 5>obviously that's extremely subjective, like you know, as you know,

576
00:29:09.119 --> 00:29:13.200
<v Speaker 5>people aren't super great at estimating heights or distances of things.

577
00:29:13.240 --> 00:29:18.240
<v Speaker 5>But yeah, it's it's honestly surprising at how much is

578
00:29:18.279 --> 00:29:20.920
<v Speaker 5>it mentioned. And also just to give like a little

579
00:29:20.960 --> 00:29:22.960
<v Speaker 5>example too, Like in my data set, I'm trying to

580
00:29:23.039 --> 00:29:28.480
<v Speaker 5>keep up with one hundred and eighty different variables. So basically,

581
00:29:29.200 --> 00:29:32.039
<v Speaker 5>any question that you can ask about bigfoot witness reports,

582
00:29:32.079 --> 00:29:35.480
<v Speaker 5>I'm trying to have a column or a variable to

583
00:29:35.759 --> 00:29:39.160
<v Speaker 5>answer it. And these things range from like environmental variables

584
00:29:40.160 --> 00:29:46.279
<v Speaker 5>to physical behavior or physical traits, witness information as well

585
00:29:46.480 --> 00:29:50.000
<v Speaker 5>like ages and occupations and things and fear levels you know,

586
00:29:50.200 --> 00:29:56.960
<v Speaker 5>sasquatch behaviors, footprint information if that's included as well, and

587
00:29:57.400 --> 00:30:00.640
<v Speaker 5>definitely for the majority of reports, I can't pulling out,

588
00:30:00.640 --> 00:30:04.000
<v Speaker 5>you know, one hundred and eighty columns worth of information,

589
00:30:04.599 --> 00:30:08.799
<v Speaker 5>but there's still stuff there that you can look into

590
00:30:08.880 --> 00:30:09.319
<v Speaker 5>for sure.

591
00:30:11.359 --> 00:30:14.720
<v Speaker 2>Stay tuned for more Bigfoot and Beyond with Cliff and Bogo.

592
00:30:14.960 --> 00:30:23.519
<v Speaker 2>We'll be right back after these messages. Well, you know,

593
00:30:23.720 --> 00:30:27.920
<v Speaker 2>I was forwarded your paper Beyond Random Chance Multivariate analysis

594
00:30:27.960 --> 00:30:30.960
<v Speaker 2>of Sasquatch Witness reports with lunar, seasonal and psychological data.

595
00:30:31.720 --> 00:30:33.720
<v Speaker 2>I'm clearly looking at it right now because I can't remember,

596
00:30:35.039 --> 00:30:38.920
<v Speaker 2>but it looks like it's published on your website, so

597
00:30:39.079 --> 00:30:40.519
<v Speaker 2>other people can go read it, and of course the

598
00:30:40.599 --> 00:30:43.720
<v Speaker 2>website once again at Sasquatch Data Project dot com. But

599
00:30:43.920 --> 00:30:45.720
<v Speaker 2>one of the things I was impressed about then I

600
00:30:45.839 --> 00:30:47.880
<v Speaker 2>just had. I've done one quick read through of it.

601
00:30:47.920 --> 00:30:48.359
<v Speaker 3>I need to.

602
00:30:49.240 --> 00:30:50.920
<v Speaker 2>I'm the kind of reader that needs to read things

603
00:30:50.920 --> 00:30:53.519
<v Speaker 2>two or three times to really digest it, to settle

604
00:30:53.559 --> 00:30:55.640
<v Speaker 2>in and sit well with me. So I've only had

605
00:30:55.680 --> 00:30:57.960
<v Speaker 2>one quick read through of it, and I apologize for that.

606
00:30:58.240 --> 00:31:00.079
<v Speaker 2>But one of the things I was impressed with is

607
00:31:00.440 --> 00:31:04.759
<v Speaker 2>the psychological aspect of your work here looking at the

608
00:31:05.640 --> 00:31:07.759
<v Speaker 2>you know, the mindset, so to speak, of the witness

609
00:31:07.920 --> 00:31:11.480
<v Speaker 2>during the reports. And how that might factor into things,

610
00:31:12.119 --> 00:31:15.519
<v Speaker 2>because the only other, really the other main source for

611
00:31:15.559 --> 00:31:18.359
<v Speaker 2>any psychological data is are levely and talented producer here

612
00:31:18.359 --> 00:31:20.920
<v Speaker 2>Matt Pruitt and his book and the Phenomenal Sasquatch. He

613
00:31:20.920 --> 00:31:24.519
<v Speaker 2>addresses a lot of psychology that's almost even the premise

614
00:31:24.519 --> 00:31:26.680
<v Speaker 2>of his book. You know, our sasquatch is a psychological

615
00:31:26.680 --> 00:31:30.839
<v Speaker 2>phenomenon or a physical one. But you're addressing this, I

616
00:31:30.920 --> 00:31:33.559
<v Speaker 2>think goes along ways as well, because I've been ranting.

617
00:31:34.200 --> 00:31:35.799
<v Speaker 2>I've found over the years that people are just so

618
00:31:35.920 --> 00:31:40.079
<v Speaker 2>incredibly unreliable in estimates of numbers like heights and distances

619
00:31:40.079 --> 00:31:42.359
<v Speaker 2>and weights, And it's not their own, it's not their

620
00:31:42.400 --> 00:31:44.519
<v Speaker 2>fault or anything like that. Just that's something that people

621
00:31:44.559 --> 00:31:47.319
<v Speaker 2>aren't good at for the most part. And you take

622
00:31:47.319 --> 00:31:51.799
<v Speaker 2>into consideration height estimates versus fear levels. Tell us a

623
00:31:51.799 --> 00:31:54.000
<v Speaker 2>little bit about that work and what you found.

624
00:31:54.440 --> 00:31:57.079
<v Speaker 5>Yeah, So that's actually one of my favorite things that

625
00:31:57.119 --> 00:32:01.799
<v Speaker 5>I've ever looked into, because another facet of this whole

626
00:32:01.799 --> 00:32:03.920
<v Speaker 5>thing that I'm so interested in is trying to look

627
00:32:03.960 --> 00:32:07.680
<v Speaker 5>at almost like backdoor ways to either you know, to

628
00:32:07.880 --> 00:32:10.200
<v Speaker 5>kind of like and this is my own bias, but

629
00:32:10.359 --> 00:32:12.920
<v Speaker 5>supporting that you know, this is an animal, this is

630
00:32:12.960 --> 00:32:15.160
<v Speaker 5>a thing that exists, right, So what are things that

631
00:32:15.200 --> 00:32:17.720
<v Speaker 5>we can look at that would be extremely difficult to

632
00:32:17.799 --> 00:32:23.359
<v Speaker 5>hoax over decades and over a large geographic span. So

633
00:32:24.079 --> 00:32:30.880
<v Speaker 5>the fear height analysis essentially I categorized witness fear into

634
00:32:31.039 --> 00:32:36.119
<v Speaker 5>a couple different categories mild, moderate, elevated, and extreme, and

635
00:32:36.160 --> 00:32:40.559
<v Speaker 5>then I looked at the heighth estimates that they gave

636
00:32:40.599 --> 00:32:44.039
<v Speaker 5>to the sasquatch during their sighting. And I only use

637
00:32:44.079 --> 00:32:47.720
<v Speaker 5>Class A sightings for most of like ninety nine percent

638
00:32:47.759 --> 00:32:51.240
<v Speaker 5>of my research that I do, so these are only

639
00:32:51.279 --> 00:32:54.559
<v Speaker 5>for Class A sightings and only when a fear level

640
00:32:54.680 --> 00:32:57.759
<v Speaker 5>and a height for the sasquatch was given. And I

641
00:32:57.759 --> 00:33:00.039
<v Speaker 5>really like this analysis too because you know, it's not

642
00:33:00.079 --> 00:33:04.799
<v Speaker 5>necessarily about having an accurate height measurement. It doesn't really matter,

643
00:33:05.160 --> 00:33:07.279
<v Speaker 5>you know, what the final number is. It's more so

644
00:33:07.400 --> 00:33:11.960
<v Speaker 5>about the differences between the heights between fear groups. So

645
00:33:12.680 --> 00:33:16.559
<v Speaker 5>what I found was as fear level goes up, so

646
00:33:16.680 --> 00:33:20.759
<v Speaker 5>did the average height of the sasquatch overall, and the

647
00:33:20.880 --> 00:33:24.920
<v Speaker 5>difference between the mild fear group and the elevated and

648
00:33:25.000 --> 00:33:28.319
<v Speaker 5>extreme fear group estimated heights was significant.

649
00:33:29.240 --> 00:33:30.640
<v Speaker 4>So that was really interesting.

650
00:33:31.039 --> 00:33:33.400
<v Speaker 5>Essentially, the mild fear group had an average of six

651
00:33:33.480 --> 00:33:37.880
<v Speaker 5>point eight feet, the moderate was I believe seven point three,

652
00:33:38.640 --> 00:33:41.799
<v Speaker 5>elevated had like a seven point eight average, and then

653
00:33:42.119 --> 00:33:46.400
<v Speaker 5>the extreme fear group had a seven point seven foot average.

654
00:33:46.880 --> 00:33:49.640
<v Speaker 5>Something that's not included in the paper, but it's kind

655
00:33:49.640 --> 00:33:53.200
<v Speaker 5>of interesting too, is that if you're looking at estimated

656
00:33:53.240 --> 00:33:57.160
<v Speaker 5>heights over eight and a half feet, eighty percent of

657
00:33:57.200 --> 00:34:01.400
<v Speaker 5>those reports fall into these elevated and extreme fear groups.

658
00:34:02.279 --> 00:34:04.799
<v Speaker 5>So that in itself is also really interesting.

659
00:34:05.480 --> 00:34:07.799
<v Speaker 3>Or it could be people there's extra scare becus of

660
00:34:07.839 --> 00:34:08.920
<v Speaker 3>thing's so freaking big.

661
00:34:09.320 --> 00:34:11.119
<v Speaker 5>Well, yeah, and that's the other part of it too, right,

662
00:34:11.199 --> 00:34:13.880
<v Speaker 5>that's really interesting. It's like, there's so many different ways

663
00:34:13.920 --> 00:34:15.960
<v Speaker 5>you could look at this. It's either, you know, a

664
00:34:16.039 --> 00:34:20.280
<v Speaker 5>larger animal elicits a larger fear response, or you know,

665
00:34:20.320 --> 00:34:25.360
<v Speaker 5>it could be it could be this thing called fear

666
00:34:25.400 --> 00:34:27.960
<v Speaker 5>and do size distortion, where you know, essentially, when you're

667
00:34:27.960 --> 00:34:32.079
<v Speaker 5>really freaked out, you can perceive things as larger than

668
00:34:32.079 --> 00:34:35.039
<v Speaker 5>they actually are and in some cases of to thirty percent,

669
00:34:35.159 --> 00:34:40.159
<v Speaker 5>which is crazy, especially when you're talking about such large heights.

670
00:34:40.360 --> 00:34:42.519
<v Speaker 5>So you know, yeah, there's a couple of different ways

671
00:34:42.519 --> 00:34:45.480
<v Speaker 5>you can look at it. And that's honestly part of

672
00:34:45.480 --> 00:34:48.239
<v Speaker 5>what's so fun about these investigations because it's like, I

673
00:34:48.280 --> 00:34:50.159
<v Speaker 5>don't know what's causing these trends.

674
00:34:50.480 --> 00:34:52.679
<v Speaker 3>What about distance distances?

675
00:34:52.760 --> 00:34:55.760
<v Speaker 5>You know, I haven't looked into I haven't really done

676
00:34:55.800 --> 00:34:59.039
<v Speaker 5>a lot with distances, so I'm not not sure.

677
00:34:59.519 --> 00:35:01.920
<v Speaker 3>I mean, I think that'd be like people that run

678
00:35:01.920 --> 00:35:03.840
<v Speaker 3>into one like on a trail and like I literally

679
00:35:04.239 --> 00:35:06.199
<v Speaker 3>steps out from behind a bush or a tree or something,

680
00:35:06.199 --> 00:35:08.400
<v Speaker 3>it's literally fifteen feet in front of When they look up,

681
00:35:08.960 --> 00:35:12.079
<v Speaker 3>those people like crap their pants. Yeah, you're one hundred

682
00:35:12.159 --> 00:35:13.679
<v Speaker 3>yards away and you're in a car on the highway.

683
00:35:14.519 --> 00:35:16.280
<v Speaker 3>You know, you can't catch you like you're it could

684
00:35:16.280 --> 00:35:19.559
<v Speaker 3>be like a big one or whatever size, and you're

685
00:35:19.599 --> 00:35:22.400
<v Speaker 3>not going to be nearly scared. You know. It's there's

686
00:35:22.440 --> 00:35:24.239
<v Speaker 3>a I know you take all this into an account

687
00:35:24.280 --> 00:35:27.119
<v Speaker 3>because I watch your videos and i'd be like that,

688
00:35:27.519 --> 00:35:29.719
<v Speaker 3>like that's kind of like you know, like I'll kind

689
00:35:29.760 --> 00:35:32.199
<v Speaker 3>of question like your results or what your findings from

690
00:35:32.239 --> 00:35:34.320
<v Speaker 3>what just from my personal experiences is what I've read

691
00:35:34.320 --> 00:35:36.599
<v Speaker 3>over the years. And I read your paper, I was like,

692
00:35:36.639 --> 00:35:38.880
<v Speaker 3>oh my god, this is this is deep. I didn't

693
00:35:39.079 --> 00:35:40.960
<v Speaker 3>I didn't realize it was I was trying to figure

694
00:35:41.000 --> 00:35:42.719
<v Speaker 3>out the equations, like I can't even figure it, Like

695
00:35:43.159 --> 00:35:45.239
<v Speaker 3>I'm not like a math major, but I was. I

696
00:35:45.280 --> 00:35:47.719
<v Speaker 3>was pretty impressed with how in depth it goes.

697
00:35:48.320 --> 00:35:50.760
<v Speaker 5>Oh yeah, I try to. So there's kind of two

698
00:35:50.880 --> 00:35:55.239
<v Speaker 5>sides to my research. There's a paper side and like

699
00:35:55.559 --> 00:35:59.960
<v Speaker 5>the more in depth side, which I really enjoy, which is,

700
00:36:00.199 --> 00:36:03.360
<v Speaker 5>you know, I try to take you as deep as

701
00:36:03.400 --> 00:36:06.199
<v Speaker 5>I can go into the math, into the science and

702
00:36:06.239 --> 00:36:09.039
<v Speaker 5>the reasoning behind like what I'm doing and the steps

703
00:36:09.079 --> 00:36:11.400
<v Speaker 5>that I'm taking to get to these places. And then

704
00:36:11.440 --> 00:36:14.800
<v Speaker 5>there's like a social media side where you can't go

705
00:36:15.199 --> 00:36:18.000
<v Speaker 5>really as in depth as what I'm actually doing behind

706
00:36:18.000 --> 00:36:22.360
<v Speaker 5>the scenes. So I will say that, like pretty much

707
00:36:22.519 --> 00:36:26.079
<v Speaker 5>everything I put out, there's way more work that goes

708
00:36:26.119 --> 00:36:30.199
<v Speaker 5>into it than what I you know, make known, at

709
00:36:30.280 --> 00:36:34.079
<v Speaker 5>least on social media, because there's only so much time

710
00:36:34.119 --> 00:36:37.320
<v Speaker 5>you can say, and most folks aren't really too interested

711
00:36:37.360 --> 00:36:41.280
<v Speaker 5>in like learning about all the equations and stuff. But yeah,

712
00:36:41.320 --> 00:36:43.679
<v Speaker 5>I definitely I love to do those deep dives, and

713
00:36:43.760 --> 00:36:46.519
<v Speaker 5>I love to write up my findings in a more

714
00:36:46.800 --> 00:36:51.079
<v Speaker 5>structured paper format and whatnot. But and also to go

715
00:36:51.159 --> 00:36:54.119
<v Speaker 5>back to your distant stuff. I haven't looked at how

716
00:36:54.280 --> 00:36:58.280
<v Speaker 5>distance plays into fear level, but it is on my

717
00:36:58.440 --> 00:36:59.559
<v Speaker 5>list of things to do.

718
00:37:01.119 --> 00:37:02.159
<v Speaker 3>Let us know what you find out.

719
00:37:02.519 --> 00:37:03.599
<v Speaker 4>Oh yeah, absolutely will.

720
00:37:04.079 --> 00:37:06.599
<v Speaker 2>Well, let's talk about the lunar aspect of your paper

721
00:37:06.639 --> 00:37:09.800
<v Speaker 2>as well, because you address those statistics and come to

722
00:37:09.800 --> 00:37:13.320
<v Speaker 2>some conclusions. For years and years and years, I've been

723
00:37:13.360 --> 00:37:15.519
<v Speaker 2>told by other people, and I've never really thought either

724
00:37:15.559 --> 00:37:20.119
<v Speaker 2>way that sasquatches are less active during moon full moons

725
00:37:20.239 --> 00:37:22.320
<v Speaker 2>and this and that because they like sneaking, and they

726
00:37:22.320 --> 00:37:24.519
<v Speaker 2>had all these sort of reasons, and I never really

727
00:37:24.559 --> 00:37:26.599
<v Speaker 2>put much stock in it any way, because to me,

728
00:37:27.079 --> 00:37:29.320
<v Speaker 2>the animals are out there no matter what the moon is,

729
00:37:29.360 --> 00:37:31.599
<v Speaker 2>They've got to be doing something, and so I never

730
00:37:31.599 --> 00:37:34.280
<v Speaker 2>really thought that, you know, it mattered very much other

731
00:37:34.360 --> 00:37:37.280
<v Speaker 2>than humans can see better during full moons. But you

732
00:37:37.320 --> 00:37:39.760
<v Speaker 2>have some interesting findings, and I even read in there

733
00:37:39.840 --> 00:37:45.039
<v Speaker 2>that you have eliminated the visibility aspect to some degree

734
00:37:45.199 --> 00:37:47.360
<v Speaker 2>in your findings. So talk about that for a while

735
00:37:47.360 --> 00:37:47.760
<v Speaker 2>if you will.

736
00:37:48.440 --> 00:37:48.719
<v Speaker 4>Yeah.

737
00:37:48.760 --> 00:37:51.920
<v Speaker 5>So, actually this is the question, Like, this is the

738
00:37:51.960 --> 00:37:55.840
<v Speaker 5>component that actually made me want to start the sasquatch

739
00:37:55.920 --> 00:37:59.719
<v Speaker 5>data project because I had heard the statement right that

740
00:37:59.840 --> 00:38:05.159
<v Speaker 5>like the moon phases influence behaviors, and I realized, I'm like, well,

741
00:38:05.239 --> 00:38:07.000
<v Speaker 5>you know, it would be really interesting, it would be

742
00:38:07.079 --> 00:38:09.320
<v Speaker 5>really interesting to look at that, and it'd be pretty easy.

743
00:38:09.400 --> 00:38:11.599
<v Speaker 5>Like all you need is a is a complete date

744
00:38:11.760 --> 00:38:14.840
<v Speaker 5>of the siding and then you can calculate the moon

745
00:38:14.840 --> 00:38:17.400
<v Speaker 5>illumination percentage for that date.

746
00:38:17.840 --> 00:38:21.519
<v Speaker 4>So yeah, Essentially, what I found is that sighting.

747
00:38:21.159 --> 00:38:27.840
<v Speaker 5>Reports significantly increase in the upper lunar illumination conditions, so

748
00:38:28.159 --> 00:38:31.199
<v Speaker 5>meaning between eighty and one hundred percent, that's when things

749
00:38:31.280 --> 00:38:35.559
<v Speaker 5>kind of peak. And that difference in siting report frequency

750
00:38:35.599 --> 00:38:40.480
<v Speaker 5>between these upper moon illumination conditions and the lower are significant.

751
00:38:40.519 --> 00:38:46.119
<v Speaker 5>So something's you know, something's going on. Essentially. You know,

752
00:38:46.239 --> 00:38:49.599
<v Speaker 5>you can look at this from a couple different ways,

753
00:38:49.639 --> 00:38:52.320
<v Speaker 5>like a couple different standpoints. If you want to look

754
00:38:52.360 --> 00:38:56.480
<v Speaker 5>at it from like an animal point of view, this actually,

755
00:38:56.639 --> 00:38:58.800
<v Speaker 5>you know, it does mirror what we see in other

756
00:38:59.559 --> 00:39:03.079
<v Speaker 5>If you want to assume sasquatches are nocturnal, it does

757
00:39:03.159 --> 00:39:07.599
<v Speaker 5>mirror other nocturnal predator behaviors and that they increase their

758
00:39:07.599 --> 00:39:12.320
<v Speaker 5>activities during new and full moons. During full moons, prey

759
00:39:12.320 --> 00:39:16.679
<v Speaker 5>have actually learned that nocturnal predators, you know, in particular,

760
00:39:17.039 --> 00:39:20.559
<v Speaker 5>they can see better under full moon conditions, so they

761
00:39:20.679 --> 00:39:23.960
<v Speaker 5>have been documented to decrease their activities anywhere from forty

762
00:39:24.039 --> 00:39:28.360
<v Speaker 5>to seventy percent during these times, and predators have figured

763
00:39:28.400 --> 00:39:30.239
<v Speaker 5>this out, so they're having to take more time to

764
00:39:30.360 --> 00:39:33.519
<v Speaker 5>hunt because they aren't finding as much prey. They're also

765
00:39:33.599 --> 00:39:36.480
<v Speaker 5>using this time to stake out territory, find mates, that

766
00:39:36.559 --> 00:39:40.320
<v Speaker 5>kind of thing. So that's interesting in itself. On the

767
00:39:40.360 --> 00:39:44.599
<v Speaker 5>flip side, from like a more human aspect, I suppose

768
00:39:45.320 --> 00:39:48.920
<v Speaker 5>humans have been documented as being more also more active,

769
00:39:49.400 --> 00:39:53.920
<v Speaker 5>or staying awake longer during full moons. If I'm remembering correctly,

770
00:39:53.960 --> 00:39:56.880
<v Speaker 5>it's really only like forty five minutes to an hour

771
00:39:56.960 --> 00:39:59.559
<v Speaker 5>longer or something. But you know, we don't know that

772
00:39:59.599 --> 00:40:03.280
<v Speaker 5>could make a difference in siding reports or at least

773
00:40:03.320 --> 00:40:08.280
<v Speaker 5>the frequency of sighting reports. And also, yeah, like you said,

774
00:40:08.480 --> 00:40:12.119
<v Speaker 5>someone did a study on how well humans can see

775
00:40:12.639 --> 00:40:16.280
<v Speaker 5>at night and they were comparing, like, you know, does

776
00:40:16.400 --> 00:40:22.679
<v Speaker 5>a full moon significantly increase our visual acuity? And it

777
00:40:22.719 --> 00:40:26.920
<v Speaker 5>turns out that it probably doesn't. The difference and illumination

778
00:40:27.039 --> 00:40:29.199
<v Speaker 5>between a new and a full moon only differs by

779
00:40:29.239 --> 00:40:34.480
<v Speaker 5>about one order of magnitude, and it's not really enough

780
00:40:35.000 --> 00:40:38.039
<v Speaker 5>to make a huge difference for humans to be able

781
00:40:38.079 --> 00:40:39.320
<v Speaker 5>to see better see.

782
00:40:39.360 --> 00:40:41.559
<v Speaker 3>I disagree. I just I know it's like you got

783
00:40:41.559 --> 00:40:43.760
<v Speaker 3>stats on that, but it's like, I think there's there's

784
00:40:43.800 --> 00:40:46.440
<v Speaker 3>other factors, Like it's what kind of canopy is there

785
00:40:46.480 --> 00:40:49.519
<v Speaker 3>around you? You know, And there's no doubt that if

786
00:40:49.519 --> 00:40:51.920
<v Speaker 3>you got more of a canopy, the full moon makes

787
00:40:51.920 --> 00:40:54.159
<v Speaker 3>a huge difference what you can see around your camp

788
00:40:54.199 --> 00:40:57.079
<v Speaker 3>at night. And I know that they say that's only

789
00:40:57.079 --> 00:41:00.480
<v Speaker 3>one order of magnitude difference, but that's still that's quite

790
00:41:00.519 --> 00:41:00.800
<v Speaker 3>a bit.

791
00:41:01.519 --> 00:41:04.079
<v Speaker 2>I think, Well, well, let me ask you this real fast.

792
00:41:04.239 --> 00:41:06.920
<v Speaker 2>When you say one order of magnitude, I am also well,

793
00:41:06.960 --> 00:41:08.679
<v Speaker 2>I mean, you're way more pro than I am, But

794
00:41:08.719 --> 00:41:10.880
<v Speaker 2>I am an amateur astronomer, and I've got pretty nice

795
00:41:10.920 --> 00:41:13.760
<v Speaker 2>telescope and all that kind of stuff, And so I know,

796
00:41:14.239 --> 00:41:16.880
<v Speaker 2>at least I seem to remember that a magnitude isn't

797
00:41:16.880 --> 00:41:20.519
<v Speaker 2>that an exponential measurement? So one order of magnitude isn't

798
00:41:20.519 --> 00:41:22.280
<v Speaker 2>that an exponential increase?

799
00:41:22.800 --> 00:41:27.079
<v Speaker 5>Yeah, So a new moon hangs around point zero three looks,

800
00:41:27.480 --> 00:41:29.920
<v Speaker 5>and a full moon hangs around like zero point two

801
00:41:30.039 --> 00:41:34.199
<v Speaker 5>six lucks, which are both well under the threshold of

802
00:41:34.599 --> 00:41:37.880
<v Speaker 5>humans being able to see well. I think, like in

803
00:41:37.920 --> 00:41:43.760
<v Speaker 5>a movie theater, the average is if I'm not mistaken, like,

804
00:41:44.119 --> 00:41:48.079
<v Speaker 5>it's no lower than three or four looks. So yeah,

805
00:41:48.280 --> 00:41:51.320
<v Speaker 5>like it is one order of magnitude. But for our

806
00:41:51.360 --> 00:41:55.039
<v Speaker 5>eyes and how you know, our eyes aren't adapted to

807
00:41:56.519 --> 00:41:59.880
<v Speaker 5>see in the dark, you know, or not nocturnal. It's

808
00:42:00.199 --> 00:42:03.159
<v Speaker 5>at least in that study, they found it really didn't

809
00:42:03.199 --> 00:42:06.880
<v Speaker 5>make a big difference in a person's ability to see.

810
00:42:07.000 --> 00:42:09.079
<v Speaker 5>And you know, this is another situation where I'm like

811
00:42:09.119 --> 00:42:11.800
<v Speaker 5>it if I read a paper where like they find

812
00:42:11.840 --> 00:42:13.079
<v Speaker 5>it actually is enough.

813
00:42:13.920 --> 00:42:14.679
<v Speaker 4>That's cool too.

814
00:42:15.199 --> 00:42:18.280
<v Speaker 5>But one of the potential explanations for that too is

815
00:42:18.320 --> 00:42:21.239
<v Speaker 5>that when you have a really bright object like a

816
00:42:21.280 --> 00:42:25.440
<v Speaker 5>full moon against a dark background, it can make it

817
00:42:25.480 --> 00:42:27.880
<v Speaker 5>appear brighter than it actually is.

818
00:42:28.440 --> 00:42:30.119
<v Speaker 4>So yeah, I don't know that.

819
00:42:30.400 --> 00:42:34.000
<v Speaker 5>It was just an interesting, interesting study that I found

820
00:42:34.039 --> 00:42:36.679
<v Speaker 5>that I wanted to include because I had often heard that.

821
00:42:37.280 --> 00:42:39.360
<v Speaker 3>Yeah, I think. I think what I've said a lot

822
00:42:39.519 --> 00:42:41.880
<v Speaker 3>about the full moon is that they don't come into

823
00:42:42.000 --> 00:42:44.719
<v Speaker 3>like the researcher, like if you're doing knocks and calls whatever,

824
00:42:45.280 --> 00:42:47.960
<v Speaker 3>they don't come in nearly as close when there's a

825
00:42:48.000 --> 00:42:50.559
<v Speaker 3>full moon, Like I don't think that affects our other activities,

826
00:42:50.840 --> 00:42:53.559
<v Speaker 3>or maybe it affects our activities like what they're doing

827
00:42:53.559 --> 00:42:56.559
<v Speaker 3>because they got they got obviously better night vision than

828
00:42:56.559 --> 00:42:58.039
<v Speaker 3>we do. So if full moon could be a lot

829
00:42:58.079 --> 00:43:01.440
<v Speaker 3>brighter for them than us, whatever, But I think when

830
00:43:01.880 --> 00:43:03.639
<v Speaker 3>I don't know as far as when I talk about

831
00:43:03.679 --> 00:43:05.519
<v Speaker 3>the activity at full I mean as far as them

832
00:43:05.559 --> 00:43:07.320
<v Speaker 3>coming close to camp. Whenever I've had them come close

833
00:43:07.400 --> 00:43:09.320
<v Speaker 3>to count, there's been like a third of a moon

834
00:43:09.400 --> 00:43:09.920
<v Speaker 3>or less.

835
00:43:10.559 --> 00:43:11.440
<v Speaker 4>Oh that's interesting.

836
00:43:11.880 --> 00:43:14.679
<v Speaker 5>Yeah, you know, there is somewhat of an increase in

837
00:43:14.719 --> 00:43:18.199
<v Speaker 5>siding reports under new moon conditions, like from zero to

838
00:43:18.239 --> 00:43:22.239
<v Speaker 5>twenty percent, but when you're looking at which this is

839
00:43:22.320 --> 00:43:25.239
<v Speaker 5>kind of interesting in itself too, because sighting reports do

840
00:43:25.400 --> 00:43:28.360
<v Speaker 5>kind of follow the trends of the moon phases, where

841
00:43:28.480 --> 00:43:31.920
<v Speaker 5>you know, the moon spends more time in the extreme

842
00:43:32.000 --> 00:43:36.400
<v Speaker 5>phases versus the middle. So there is like, there is

843
00:43:36.880 --> 00:43:39.840
<v Speaker 5>an increase in sighting reports during new moon phases, but

844
00:43:39.920 --> 00:43:44.039
<v Speaker 5>it's not enough to be significant when you're comparing it

845
00:43:44.119 --> 00:43:48.719
<v Speaker 5>to what we like, what you would expect based on

846
00:43:48.880 --> 00:43:51.599
<v Speaker 5>just how much time the moon spends in those phases

847
00:43:51.599 --> 00:43:55.920
<v Speaker 5>in general. It would be interesting though, to look at again,

848
00:43:56.079 --> 00:44:00.800
<v Speaker 5>like distances, particularly with witnesses who are like camping or

849
00:44:00.880 --> 00:44:03.880
<v Speaker 5>hiking or something, and compare that to the boon phases,

850
00:44:04.960 --> 00:44:08.280
<v Speaker 5>it would be that would be an interesting one.

851
00:44:09.000 --> 00:44:12.079
<v Speaker 2>Stay tuned for more Bigfoot and Beyond with Cliff and

852
00:44:12.079 --> 00:44:21.360
<v Speaker 2>Bobo will be right back after these messages. Well, I

853
00:44:21.400 --> 00:44:25.320
<v Speaker 2>have to assume that the data for the moon work

854
00:44:25.320 --> 00:44:28.559
<v Speaker 2>that you've been doing is based on nocturnal sightings, first

855
00:44:28.559 --> 00:44:31.239
<v Speaker 2>of all, but maybe it's not. I don't know. And

856
00:44:31.320 --> 00:44:35.320
<v Speaker 2>also these sightings that are in the database, they aren't

857
00:44:35.559 --> 00:44:38.679
<v Speaker 2>got to keep in mind that they're not necessarily observations,

858
00:44:38.760 --> 00:44:41.679
<v Speaker 2>or maybe they are, they're not necessarily at least it's

859
00:44:41.719 --> 00:44:44.280
<v Speaker 2>not clear to me that it is not necessarily observations

860
00:44:44.320 --> 00:44:49.920
<v Speaker 2>of a sasquatch using only moonlight as illumination. The flashlights

861
00:44:50.000 --> 00:44:52.920
<v Speaker 2>or car headlights and that sort of thing are probably involved.

862
00:44:53.280 --> 00:44:55.880
<v Speaker 2>So what it seems to me, at least from my

863
00:44:56.000 --> 00:44:58.280
<v Speaker 2>quick read through, what seems to be pointed out here

864
00:44:58.360 --> 00:45:02.679
<v Speaker 2>is that sasquatches are more active during those times. Is

865
00:45:02.719 --> 00:45:04.920
<v Speaker 2>that correct? Am I in my on to something? Or

866
00:45:05.159 --> 00:45:06.519
<v Speaker 2>you smell when I'm stepping in here?

867
00:45:07.079 --> 00:45:12.159
<v Speaker 5>Yeah, So for this particular investigation, something else that's this.

868
00:45:12.159 --> 00:45:14.599
<v Speaker 5>This whole paper like was just pretty cool in my

869
00:45:14.880 --> 00:45:17.079
<v Speaker 5>you know, personal opinion, because like, there's so many different

870
00:45:17.079 --> 00:45:19.719
<v Speaker 5>ways you can take this. But so, yeah, the moon

871
00:45:19.760 --> 00:45:22.840
<v Speaker 5>phases actually don't depend on the time of day. So

872
00:45:23.159 --> 00:45:25.559
<v Speaker 5>that was something else that was interesting that cropped up

873
00:45:25.599 --> 00:45:27.760
<v Speaker 5>from this, Like, no matter the time of day, we

874
00:45:27.840 --> 00:45:33.840
<v Speaker 5>see the same trend in citing frequency, So that in

875
00:45:33.880 --> 00:45:36.400
<v Speaker 5>itself was interesting. Not really sure what to.

876
00:45:36.400 --> 00:45:37.199
<v Speaker 4>Make of that.

877
00:45:37.760 --> 00:45:43.039
<v Speaker 5>But also, you know, I hesitate to say that these

878
00:45:43.199 --> 00:45:47.920
<v Speaker 5>increases in siding reports are due to increased activity because

879
00:45:48.159 --> 00:45:51.000
<v Speaker 5>at the end of the day, we don't know, because

880
00:45:51.000 --> 00:45:53.559
<v Speaker 5>it could be more human reasons, you know that we're

881
00:45:53.559 --> 00:45:57.960
<v Speaker 5>seeing these increases in citing reports. So yeah, it's just

882
00:45:58.559 --> 00:46:01.000
<v Speaker 5>there's there's a lot of different ways you can take it.

883
00:46:01.159 --> 00:46:04.440
<v Speaker 4>But I guess did I answer your question. I'm sorry.

884
00:46:04.880 --> 00:46:09.400
<v Speaker 2>What I hear coming out is that science and data

885
00:46:09.400 --> 00:46:13.519
<v Speaker 2>crunching like this, like the stuff that you're doing basically

886
00:46:13.639 --> 00:46:19.239
<v Speaker 2>doesn't give us good answers necessarily. It gives interesting results,

887
00:46:19.280 --> 00:46:22.559
<v Speaker 2>but not answers. But what it does do is generate

888
00:46:22.639 --> 00:46:25.280
<v Speaker 2>some really fascinating questions.

889
00:46:25.880 --> 00:46:28.920
<v Speaker 5>Yes, yeap, I would totally agree with that statement. Yeah,

890
00:46:28.960 --> 00:46:33.920
<v Speaker 5>like we can't make definitive conclusions. What we can do

891
00:46:34.199 --> 00:46:39.840
<v Speaker 5>is ye draw really interesting patterns and potential information from things.

892
00:46:40.400 --> 00:46:43.639
<v Speaker 5>And also part of that is like I'm just in general,

893
00:46:43.760 --> 00:46:47.480
<v Speaker 5>like very careful with how I word things and how

894
00:46:47.519 --> 00:46:51.400
<v Speaker 5>I kind of approach things, just to.

895
00:46:50.719 --> 00:46:53.559
<v Speaker 4>Try and eliminate like potential bias that.

896
00:46:54.079 --> 00:46:56.880
<v Speaker 5>I might put into things, because you know, to be honest,

897
00:46:57.079 --> 00:46:59.599
<v Speaker 5>when I'm looking at data and when I'm looking into

898
00:46:59.599 --> 00:47:02.679
<v Speaker 5>these things, I do kind of form ideas in my

899
00:47:02.760 --> 00:47:05.360
<v Speaker 5>head of you know, what I think the causes of

900
00:47:05.480 --> 00:47:08.920
<v Speaker 5>these patterns are. But when it comes to like papers

901
00:47:08.960 --> 00:47:12.039
<v Speaker 5>and that kind of thing, you have to be very neutral.

902
00:47:12.760 --> 00:47:14.320
<v Speaker 1>One of the things I wanted to ask you about

903
00:47:14.360 --> 00:47:16.360
<v Speaker 1>is if you had tried to cross reference anything with

904
00:47:16.400 --> 00:47:19.320
<v Speaker 1>the salunar charts or salunar tables. I guess the other

905
00:47:19.360 --> 00:47:22.920
<v Speaker 1>thing that would be difficult beyond that to Bobo's earlier

906
00:47:22.960 --> 00:47:26.880
<v Speaker 1>point is that you know, moon phases and visibility are

907
00:47:26.880 --> 00:47:29.760
<v Speaker 1>not intricately leaked because they don't account for weather data,

908
00:47:30.239 --> 00:47:32.400
<v Speaker 1>which would probably be a lot harder to get a

909
00:47:32.400 --> 00:47:35.239
<v Speaker 1>hold of accurately, because you could have a full moon

910
00:47:35.400 --> 00:47:37.960
<v Speaker 1>and a very very thick cloud cover and still be

911
00:47:38.039 --> 00:47:40.599
<v Speaker 1>left with no visibility. So even though the moon phase

912
00:47:40.679 --> 00:47:44.000
<v Speaker 1>is such and animals might be active influenced by that

913
00:47:44.039 --> 00:47:47.159
<v Speaker 1>moon phase. It doesn't necessarily mean that human witnesses are

914
00:47:47.199 --> 00:47:48.280
<v Speaker 1>going to be able to see better.

915
00:47:48.800 --> 00:47:49.239
<v Speaker 4>Yeah.

916
00:47:49.360 --> 00:47:52.320
<v Speaker 5>Yeah, so that's another thing that I hadn't taken into

917
00:47:52.320 --> 00:47:58.239
<v Speaker 5>account with this paper. I've since added very thorough or

918
00:47:59.000 --> 00:48:01.599
<v Speaker 5>extensive weather data to the data set, so that would

919
00:48:01.599 --> 00:48:04.360
<v Speaker 5>actually be really cool to revisit is actually look at

920
00:48:04.400 --> 00:48:07.000
<v Speaker 5>like what the weather was on those days, at least

921
00:48:07.039 --> 00:48:09.880
<v Speaker 5>for the encounters where I was able to derive some

922
00:48:10.000 --> 00:48:14.159
<v Speaker 5>kind of moon illumination from. But yeah, I haven't to

923
00:48:14.199 --> 00:48:20.480
<v Speaker 5>go back to your first question, there does seem to be, yes,

924
00:48:20.559 --> 00:48:26.159
<v Speaker 5>some kind of correlation between animal behaviors and the lunar phases.

925
00:48:26.679 --> 00:48:29.880
<v Speaker 5>I haven't looked at the table that you mentioned, but

926
00:48:30.280 --> 00:48:32.760
<v Speaker 5>I do reference a couple of different papers in my

927
00:48:32.840 --> 00:48:36.559
<v Speaker 5>paper that we're talking especially about like black bears and

928
00:48:37.760 --> 00:48:42.960
<v Speaker 5>different other nocturnal predators as well, and how their activity

929
00:48:43.119 --> 00:48:47.880
<v Speaker 5>is affected by potentially the moon phases and the illumination conditions.

930
00:48:48.280 --> 00:48:48.480
<v Speaker 3>Yeah.

931
00:48:48.480 --> 00:48:50.360
<v Speaker 1>I'll send over some of that data because there are

932
00:48:50.440 --> 00:48:54.239
<v Speaker 1>plenty of people in the outdoor space, anglers and hunters specifically,

933
00:48:54.239 --> 00:48:57.239
<v Speaker 1>who use those as almost like predictive tools as to

934
00:48:57.320 --> 00:48:59.960
<v Speaker 1>when to go hunting and I've seen a lot of

935
00:49:00.039 --> 00:49:03.519
<v Speaker 1>really interesting anecdotal support for that, and I've experienced some

936
00:49:03.559 --> 00:49:05.599
<v Speaker 1>of it myself, and then you know, it's a whole

937
00:49:05.639 --> 00:49:07.599
<v Speaker 1>nother conversation. I don't want to derail it. But there

938
00:49:07.679 --> 00:49:11.679
<v Speaker 1>was someone years ago, as part of another project, who

939
00:49:11.719 --> 00:49:14.440
<v Speaker 1>would clued me into this and sent some peer reviewed

940
00:49:14.440 --> 00:49:17.480
<v Speaker 1>papers showing that there was a positive correlation. And he

941
00:49:17.559 --> 00:49:20.880
<v Speaker 1>also said, take this data set, go through all the

942
00:49:20.920 --> 00:49:25.320
<v Speaker 1>reports that you firmly think have validity and cross check

943
00:49:25.400 --> 00:49:29.079
<v Speaker 1>them against these charts. And everyone that I looked at

944
00:49:29.320 --> 00:49:32.159
<v Speaker 1>was in a predicted period of like peak animal activity,

945
00:49:32.280 --> 00:49:34.440
<v Speaker 1>and so I was like, h I think there's something

946
00:49:34.559 --> 00:49:37.119
<v Speaker 1>to this. Like it was kind of at first I thought, ah,

947
00:49:37.199 --> 00:49:40.880
<v Speaker 1>this is a little wooy, But I changed my tune

948
00:49:40.880 --> 00:49:43.480
<v Speaker 1>pretty quickly in terms of being proven wrong. So I'll

949
00:49:43.480 --> 00:49:44.599
<v Speaker 1>send over that information.

950
00:49:45.199 --> 00:49:46.360
<v Speaker 4>No, that's really interesting.

951
00:49:47.119 --> 00:49:51.480
<v Speaker 2>The last aspect of your paper, that is the seasonal

952
00:49:51.599 --> 00:49:54.079
<v Speaker 2>data that you took into consideration and the patterns that

953
00:49:54.119 --> 00:49:56.840
<v Speaker 2>you looked at there. Of course, this is done very

954
00:49:56.920 --> 00:49:58.960
<v Speaker 2>early on in the game. John Green did that with

955
00:49:59.000 --> 00:50:01.000
<v Speaker 2>his data back in the day and found out what

956
00:50:01.159 --> 00:50:05.239
<v Speaker 2>one would expect. Really, sightings seemed to peak in or

957
00:50:05.440 --> 00:50:09.079
<v Speaker 2>July August, the July ish pretty much and they drop

958
00:50:09.119 --> 00:50:11.880
<v Speaker 2>off in January February. And John Green I remember writing

959
00:50:12.000 --> 00:50:16.000
<v Speaker 2>something effective like that's almost certainly a human factor. Now

960
00:50:16.039 --> 00:50:19.920
<v Speaker 2>you've you've found that a summer is was it second

961
00:50:19.920 --> 00:50:21.840
<v Speaker 2>place to fall or is it about the same? I

962
00:50:21.840 --> 00:50:25.400
<v Speaker 2>don't remember which, And the winter and spring of all

963
00:50:25.440 --> 00:50:28.760
<v Speaker 2>things were the lowest. So can you talk about what

964
00:50:28.800 --> 00:50:32.119
<v Speaker 2>your your findings were, your methods and findings and your

965
00:50:32.159 --> 00:50:32.719
<v Speaker 2>thoughts on that.

966
00:50:33.280 --> 00:50:37.800
<v Speaker 5>Yeah, so summer and fall had definitely the most siding reports,

967
00:50:38.360 --> 00:50:40.559
<v Speaker 5>their frequencies were the highest, and then there is a

968
00:50:40.639 --> 00:50:43.760
<v Speaker 5>huge drop off in the winter in the spring. So

969
00:50:44.639 --> 00:50:46.440
<v Speaker 5>again there's a couple of different ways to look at this.

970
00:50:47.199 --> 00:50:50.800
<v Speaker 5>You know, animal activities do increase during the summer in

971
00:50:50.840 --> 00:50:55.000
<v Speaker 5>the fall, whether it's for foraging reasons, you know, different

972
00:50:55.039 --> 00:50:58.079
<v Speaker 5>running seasons come into play in the fall, or I

973
00:50:58.079 --> 00:51:02.360
<v Speaker 5>think it's juvenile black bears they actually start separating from

974
00:51:02.519 --> 00:51:05.400
<v Speaker 5>their mothers during the spring, and they'll increase their ranges

975
00:51:05.599 --> 00:51:09.840
<v Speaker 5>and whatnot, and so all of these things basically increase

976
00:51:09.920 --> 00:51:12.280
<v Speaker 5>the chance that a human has some kind of interaction

977
00:51:12.400 --> 00:51:14.760
<v Speaker 5>with the animals because they're expanding the rages that they're

978
00:51:14.760 --> 00:51:16.639
<v Speaker 5>becoming way more active and.

979
00:51:17.159 --> 00:51:17.840
<v Speaker 4>That kind of thing.

980
00:51:17.960 --> 00:51:19.800
<v Speaker 5>So you know, if you want to look at things

981
00:51:19.800 --> 00:51:24.960
<v Speaker 5>from an animal perspective, there's that to potentially support the

982
00:51:25.079 --> 00:51:29.079
<v Speaker 5>increase during the summer in the fall. On the other side, yeah,

983
00:51:29.159 --> 00:51:31.480
<v Speaker 5>humans are way more active in the summer in the fall.

984
00:51:31.519 --> 00:51:35.199
<v Speaker 5>You know, they're camping, they're hiking, they're hunting in the fall.

985
00:51:35.559 --> 00:51:38.719
<v Speaker 5>I think I even reference to paper in there talking

986
00:51:38.800 --> 00:51:42.000
<v Speaker 5>about how humans are more likely to be in more

987
00:51:42.039 --> 00:51:45.039
<v Speaker 5>remote areas during the fall, Like there's a significant increase

988
00:51:45.079 --> 00:51:48.639
<v Speaker 5>in human presence, you know, therefore increasing your chances to

989
00:51:48.760 --> 00:51:52.239
<v Speaker 5>have an encounter with anomalist phenomena or you know, an

990
00:51:52.239 --> 00:51:55.840
<v Speaker 5>animal you didn't quite expect. And you know there's other

991
00:51:55.880 --> 00:51:58.599
<v Speaker 5>aspects too, like in the fall, they found that you

992
00:51:58.639 --> 00:52:02.079
<v Speaker 5>can see up to six percent further into a forest

993
00:52:02.119 --> 00:52:05.840
<v Speaker 5>because of the lack of leaves, you know, again increasing

994
00:52:05.920 --> 00:52:10.760
<v Speaker 5>your chances of having some kind of sighting. So those

995
00:52:10.920 --> 00:52:14.519
<v Speaker 5>those things were pretty interesting and honestly expected. I wasn't

996
00:52:14.559 --> 00:52:18.320
<v Speaker 5>really surprised by the increase in siding reports. What did

997
00:52:18.360 --> 00:52:21.960
<v Speaker 5>surprise me? And I've thought about this a lot more

998
00:52:22.000 --> 00:52:25.239
<v Speaker 5>since I published this paper, But actually, the decrease in

999
00:52:25.280 --> 00:52:31.519
<v Speaker 5>siding reports during the spring is really interesting because, oh yeah,

1000
00:52:31.559 --> 00:52:34.800
<v Speaker 5>because you would think from like in the animal perspective,

1001
00:52:35.000 --> 00:52:38.159
<v Speaker 5>you know, that's when they kind of wake up in

1002
00:52:38.199 --> 00:52:41.239
<v Speaker 5>a sense, they're becoming way more active and trying to

1003
00:52:42.199 --> 00:52:46.079
<v Speaker 5>recoup all the last calories and whatnot from winter, and

1004
00:52:46.360 --> 00:52:50.320
<v Speaker 5>they're becoming just way more active after wintertime. And then

1005
00:52:50.519 --> 00:52:52.679
<v Speaker 5>you know, also humans are becoming more active and going

1006
00:52:52.719 --> 00:52:56.679
<v Speaker 5>outside more. So that was that's become one of the

1007
00:52:56.679 --> 00:52:58.719
<v Speaker 5>biggest questions for me, and I don't have an answer

1008
00:52:58.760 --> 00:53:01.960
<v Speaker 5>for that one. Like I don't really know why there's

1009
00:53:02.000 --> 00:53:05.119
<v Speaker 5>such a big decrease in siding reports during the springtime,

1010
00:53:05.559 --> 00:53:07.800
<v Speaker 5>but it's just one of those things.

1011
00:53:07.880 --> 00:53:08.960
<v Speaker 4>It's really interesting.

1012
00:53:09.599 --> 00:53:12.440
<v Speaker 2>Well, I would think that during winter and spring it

1013
00:53:12.519 --> 00:53:15.360
<v Speaker 2>must be weather related in some sort of way, at

1014
00:53:15.400 --> 00:53:18.199
<v Speaker 2>least from the human side of things, because these areas

1015
00:53:18.199 --> 00:53:20.639
<v Speaker 2>are are difficult to get into, certainly during the winter

1016
00:53:20.960 --> 00:53:23.159
<v Speaker 2>and in springtime. You know, I know that your data

1017
00:53:23.159 --> 00:53:26.719
<v Speaker 2>mostly focuses on this southeast and the Pacific Coast states

1018
00:53:27.400 --> 00:53:29.599
<v Speaker 2>and out here in the Pacific Northwest. I mean, it's

1019
00:53:29.639 --> 00:53:33.239
<v Speaker 2>a sloppy, wet, muddy mess out there for most of spring.

1020
00:53:33.280 --> 00:53:34.840
<v Speaker 2>It's difficult to get out there, and you have to

1021
00:53:34.840 --> 00:53:37.719
<v Speaker 2>be a hard headed stubborn jerk like myself to force

1022
00:53:37.760 --> 00:53:41.519
<v Speaker 2>yourself out into those areas to try to even see

1023
00:53:41.559 --> 00:53:44.400
<v Speaker 2>a sasquatch or find footprints or do that kind of thing.

1024
00:53:46.119 --> 00:53:49.000
<v Speaker 2>But does your finding suggest that there's more to it

1025
00:53:49.239 --> 00:53:52.440
<v Speaker 2>than just the human aspect of can't get to those

1026
00:53:52.480 --> 00:53:53.880
<v Speaker 2>spots in those times a.

1027
00:53:53.920 --> 00:54:02.000
<v Speaker 5>Year, I think for the springtime, Yes, suddenly I do

1028
00:54:02.119 --> 00:54:07.480
<v Speaker 5>think that there's there's something going on that I don't know.

1029
00:54:07.559 --> 00:54:10.679
<v Speaker 5>I just I haven't found either enough information on or

1030
00:54:10.679 --> 00:54:13.800
<v Speaker 5>I haven't you know, dug deep enough into some papers

1031
00:54:13.800 --> 00:54:17.280
<v Speaker 5>to find out like what could be causing this in

1032
00:54:17.440 --> 00:54:22.480
<v Speaker 5>the winter time, you know, I definitely think that it's

1033
00:54:22.719 --> 00:54:26.039
<v Speaker 5>probably a human thing where yeah, like humans aren't going

1034
00:54:26.039 --> 00:54:29.679
<v Speaker 5>into these more remote areas the weather's gross, are just

1035
00:54:29.719 --> 00:54:34.559
<v Speaker 5>staying inside more and whatnot. But again that's where I'm not,

1036
00:54:34.920 --> 00:54:38.440
<v Speaker 5>you know, I'm not really sure if I can give

1037
00:54:38.440 --> 00:54:39.800
<v Speaker 5>a give a good answer for that.

1038
00:54:40.760 --> 00:54:43.360
<v Speaker 2>Yeah, for my own work, I mean, I find about

1039
00:54:43.599 --> 00:54:48.519
<v Speaker 2>I find more stuff during non summer months, and of

1040
00:54:48.519 --> 00:54:50.920
<v Speaker 2>course I'm trying to see an animal, of course, but uh,

1041
00:54:51.159 --> 00:54:53.599
<v Speaker 2>I don't, you know, for whatever that's worth. But I

1042
00:54:53.599 --> 00:54:56.119
<v Speaker 2>do find footprints. I find a good, pretty good number

1043
00:54:56.119 --> 00:55:00.960
<v Speaker 2>of footprints and winter, late fall and up to early

1044
00:55:01.039 --> 00:55:02.960
<v Speaker 2>spring are the best times because you can actually see

1045
00:55:02.960 --> 00:55:05.360
<v Speaker 2>the ground, and I do find a fair amount of

1046
00:55:05.360 --> 00:55:07.519
<v Speaker 2>prints during those times, so it doesn't seem and of

1047
00:55:07.519 --> 00:55:09.320
<v Speaker 2>course I don't have the data to back me up.

1048
00:55:09.320 --> 00:55:12.400
<v Speaker 2>I wish I did, but it seems to me that

1049
00:55:12.679 --> 00:55:15.400
<v Speaker 2>they're still out there doing their thing during those months,

1050
00:55:15.480 --> 00:55:17.599
<v Speaker 2>and I don't see any indication of hibernation or topea

1051
00:55:17.679 --> 00:55:20.360
<v Speaker 2>or anything like that. Winter seems to be very very good,

1052
00:55:20.360 --> 00:55:24.400
<v Speaker 2>at least in my areas. So it was an interesting find,

1053
00:55:24.440 --> 00:55:27.440
<v Speaker 2>and again I look forward to rereading your paper several

1054
00:55:27.440 --> 00:55:29.480
<v Speaker 2>times to really digest it.

1055
00:55:29.559 --> 00:55:32.360
<v Speaker 5>I definitely don't think that they're going anywhere during these times,

1056
00:55:32.679 --> 00:55:36.159
<v Speaker 5>especially during the winter. Like I am pretty firmly on

1057
00:55:36.199 --> 00:55:38.239
<v Speaker 5>the side that it's probably like more of a human thing.

1058
00:55:38.679 --> 00:55:41.719
<v Speaker 5>But you know, that's part of what's so interesting about

1059
00:55:41.760 --> 00:55:45.199
<v Speaker 5>this work is that it might bring up some surprises,

1060
00:55:45.280 --> 00:55:49.320
<v Speaker 5>and you know, until we can build upon it, and

1061
00:55:49.400 --> 00:55:52.800
<v Speaker 5>until I go through more data as well, so you know,

1062
00:55:53.039 --> 00:55:55.159
<v Speaker 5>just to bring in another side of things that it

1063
00:55:55.199 --> 00:55:58.800
<v Speaker 5>could be as using. The majority of my data set

1064
00:55:58.880 --> 00:56:04.039
<v Speaker 5>is from the BFR, so that already kind of introduces

1065
00:56:04.079 --> 00:56:09.079
<v Speaker 5>some bias because it's all of the public reports, so

1066
00:56:09.119 --> 00:56:14.400
<v Speaker 5>it's you know, you're basing this information on you know,

1067
00:56:14.679 --> 00:56:16.840
<v Speaker 5>first of all, presence only data, So we only have

1068
00:56:16.960 --> 00:56:20.119
<v Speaker 5>data on when someone actually experienced something and then felt

1069
00:56:20.239 --> 00:56:23.519
<v Speaker 5>compelled enough to report it to someone and then it

1070
00:56:23.559 --> 00:56:26.559
<v Speaker 5>had to be followed up on and then published. So

1071
00:56:26.800 --> 00:56:28.920
<v Speaker 5>there's a couple of different layers that make this kind

1072
00:56:28.920 --> 00:56:33.000
<v Speaker 5>of tricky as well. So you know, for all we know, too,

1073
00:56:33.039 --> 00:56:36.880
<v Speaker 5>it could be some kind of bias that's also influencing this,

1074
00:56:37.119 --> 00:56:40.679
<v Speaker 5>maybe for some reason, like spring and winter reports, you know,

1075
00:56:41.159 --> 00:56:45.199
<v Speaker 5>they are publishing more of for whatever reason. So yeah,

1076
00:56:45.199 --> 00:56:48.119
<v Speaker 5>that's where it's also important that at some point got

1077
00:56:48.159 --> 00:56:51.360
<v Speaker 5>to do this, bring in more data sets, in more

1078
00:56:51.440 --> 00:56:56.000
<v Speaker 5>different you know, more different data sets into my data set,

1079
00:56:56.440 --> 00:56:59.159
<v Speaker 5>so that we can have a more well rounded point

1080
00:56:59.199 --> 00:57:01.920
<v Speaker 5>of view of the information that we're looking at.

1081
00:57:02.280 --> 00:57:06.960
<v Speaker 2>Would raw, uninvestigated reports be more useful then if I

1082
00:57:07.119 --> 00:57:10.519
<v Speaker 2>if the filter of an investigator taking the time to

1083
00:57:10.639 --> 00:57:12.639
<v Speaker 2>call the person and talk to them, write up a

1084
00:57:12.639 --> 00:57:16.840
<v Speaker 2>report and publish it, and would raw reports be have

1085
00:57:16.920 --> 00:57:20.079
<v Speaker 2>a different value to you than investigated reports.

1086
00:57:20.719 --> 00:57:25.280
<v Speaker 5>That's a really good question. I would say it really depends.

1087
00:57:26.199 --> 00:57:30.079
<v Speaker 5>It really depends on the source of where those raw

1088
00:57:30.159 --> 00:57:35.480
<v Speaker 5>reports are coming from right now, at least as things stand,

1089
00:57:37.280 --> 00:57:41.199
<v Speaker 5>at least from looking at reports like purely from the BFO,

1090
00:57:41.440 --> 00:57:44.159
<v Speaker 5>I do prefer reports that have been followed up on

1091
00:57:45.519 --> 00:57:49.039
<v Speaker 5>and at least you know, contact was made with the

1092
00:57:49.039 --> 00:57:52.119
<v Speaker 5>witness and you know they kind of passed a first check.

1093
00:57:52.599 --> 00:57:57.719
<v Speaker 5>But you know, it would be interesting to see how

1094
00:57:57.760 --> 00:58:01.519
<v Speaker 5>those reports compare to the raw report worts, because that,

1095
00:58:01.679 --> 00:58:05.360
<v Speaker 5>you know, in itself, could give us some indication of

1096
00:58:05.719 --> 00:58:09.679
<v Speaker 5>how different like it without having that filter, Like are

1097
00:58:09.719 --> 00:58:13.960
<v Speaker 5>these reports just inherently different? Are there things that are

1098
00:58:14.000 --> 00:58:16.679
<v Speaker 5>just different between the two, things that are mentioned or

1099
00:58:16.719 --> 00:58:20.719
<v Speaker 5>not mentioned that either you know, make it through or

1100
00:58:20.719 --> 00:58:22.960
<v Speaker 5>don't make it through that filter. So, yeah, that's a

1101
00:58:23.119 --> 00:58:26.639
<v Speaker 5>that's an interesting question, and I haven't really thought about

1102
00:58:26.639 --> 00:58:29.480
<v Speaker 5>that before, but I would I guess I would say

1103
00:58:29.559 --> 00:58:30.000
<v Speaker 5>right now, it.

1104
00:58:29.920 --> 00:58:33.000
<v Speaker 4>Would depend on the source of the raw reports.

1105
00:58:33.440 --> 00:58:36.119
<v Speaker 3>I'm sure people would like to hear what you actually found,

1106
00:58:36.159 --> 00:58:38.239
<v Speaker 3>Like as far as a hair color, I was looking

1107
00:58:38.239 --> 00:58:40.360
<v Speaker 3>at some of the notes I took on that is

1108
00:58:40.400 --> 00:58:44.000
<v Speaker 3>that like dark, you compared the South versus the West.

1109
00:58:44.000 --> 00:58:46.760
<v Speaker 3>I think there was eighteen or nineteen states involved, and

1110
00:58:46.920 --> 00:58:49.639
<v Speaker 3>like for dark in the West, there was twenty two percent.

1111
00:58:49.679 --> 00:58:52.239
<v Speaker 3>In the South that was thirteen percent, and in red

1112
00:58:52.320 --> 00:58:54.519
<v Speaker 3>brown it was nine point two percent in the West

1113
00:58:54.559 --> 00:58:58.400
<v Speaker 3>and sixteen point eight percent in the South. And white

1114
00:58:58.840 --> 00:59:01.679
<v Speaker 3>it was one point four six percent in the West

1115
00:59:01.800 --> 00:59:04.840
<v Speaker 3>and five point six percent in the South. And gray

1116
00:59:04.880 --> 00:59:06.960
<v Speaker 3>was two point four to three percent in the West

1117
00:59:07.000 --> 00:59:11.599
<v Speaker 3>and eight point three percent in the South. Of all

1118
00:59:11.639 --> 00:59:14.360
<v Speaker 3>the dead I saw you collect, that was the most

1119
00:59:15.239 --> 00:59:18.000
<v Speaker 3>divergent because so many other ones line up so well together.

1120
00:59:18.039 --> 00:59:22.440
<v Speaker 3>But that was the biggest of the five subjects that

1121
00:59:22.519 --> 00:59:26.159
<v Speaker 3>you covered that I saw. I thought that was pretty interesting,

1122
00:59:26.360 --> 00:59:30.199
<v Speaker 3>Like that was the biggest difference was coloration between the

1123
00:59:30.199 --> 00:59:33.679
<v Speaker 3>South and the West as opposed to track size, height

1124
00:59:33.840 --> 00:59:37.119
<v Speaker 3>estimates and aggressiveness and all that.

1125
00:59:37.760 --> 00:59:41.639
<v Speaker 5>Yeah, So the regional differences and at least physical characteristics

1126
00:59:41.760 --> 00:59:45.679
<v Speaker 5>is something that I'm particularly interested in. I love looking

1127
00:59:45.679 --> 00:59:49.079
<v Speaker 5>at the data and seeing if there are actually regional differences,

1128
00:59:49.920 --> 00:59:54.000
<v Speaker 5>and with the hair colors in particular, there are at

1129
00:59:54.079 --> 00:59:58.159
<v Speaker 5>least as how things are reported. So like you said,

1130
00:59:58.199 --> 01:00:00.320
<v Speaker 5>like in the South we have more where we have

1131
01:00:00.360 --> 01:00:04.800
<v Speaker 5>an increased frequency of reports of red, brown, gray, white,

1132
01:00:05.119 --> 01:00:11.000
<v Speaker 5>and I think blonde too, And those differences and frequencies

1133
01:00:11.239 --> 01:00:13.840
<v Speaker 5>are statistically significant when you're you know, comparing them to

1134
01:00:13.880 --> 01:00:17.639
<v Speaker 5>the Western regions. You know, that's interesting in itself because

1135
01:00:17.880 --> 01:00:20.159
<v Speaker 5>especially when you start looking at things in a more

1136
01:00:20.320 --> 01:00:23.760
<v Speaker 5>like granular way, I guess, because you start to see

1137
01:00:23.800 --> 01:00:27.400
<v Speaker 5>these like clusters of hair colors, especially for the white

1138
01:00:27.440 --> 01:00:29.440
<v Speaker 5>and the gray like reports.

1139
01:00:29.599 --> 01:00:32.039
<v Speaker 4>I remember that in Alabama.

1140
01:00:31.679 --> 01:00:35.400
<v Speaker 5>There's like a couple of little clusters where there's a

1141
01:00:35.519 --> 01:00:39.880
<v Speaker 5>notable increase of citing reports of white hair colored sasquatches.

1142
01:00:40.280 --> 01:00:40.360
<v Speaker 3>What.

1143
01:00:41.440 --> 01:00:44.760
<v Speaker 5>Yeah, And so it's funny because like I didn't even

1144
01:00:44.760 --> 01:00:47.360
<v Speaker 5>know that was a thing until after I found that,

1145
01:00:48.119 --> 01:00:49.920
<v Speaker 5>And I'm like, well, there you go. That explained that,

1146
01:00:51.079 --> 01:00:54.840
<v Speaker 5>like this is a thing that's known in that region.

1147
01:00:55.280 --> 01:00:57.840
<v Speaker 5>But yeah, the hair colors are pretty interesting. I'm not

1148
01:00:57.920 --> 01:01:02.039
<v Speaker 5>sure why there's such a differ diference. I will say,

1149
01:01:02.199 --> 01:01:06.599
<v Speaker 5>like I have heard throughout the years that the South

1150
01:01:06.719 --> 01:01:10.960
<v Speaker 5>does have more like red or red brown sasquatches, and

1151
01:01:11.320 --> 01:01:13.280
<v Speaker 5>it leaves out the data stands right now that is

1152
01:01:13.320 --> 01:01:16.920
<v Speaker 5>supported that claim. But I thought it was interesting the

1153
01:01:17.199 --> 01:01:19.440
<v Speaker 5>gray and the white hair color was interesting that there

1154
01:01:19.519 --> 01:01:23.519
<v Speaker 5>was so many more in the South versus the Western states.

1155
01:01:24.199 --> 01:01:27.480
<v Speaker 3>If you guys Oklahoma, do other area, like what was

1156
01:01:27.679 --> 01:01:29.559
<v Speaker 3>you guys saw what do you have eight or ten

1157
01:01:29.599 --> 01:01:31.679
<v Speaker 3>individuals you guys have identified or something like that, and

1158
01:01:31.760 --> 01:01:33.559
<v Speaker 3>there was a couple of gray ones. You know.

1159
01:01:33.599 --> 01:01:36.639
<v Speaker 1>I didn't have any sightings there. But it really just depends.

1160
01:01:36.679 --> 01:01:39.239
<v Speaker 1>I don't think you could arrive at the number that

1161
01:01:39.280 --> 01:01:42.239
<v Speaker 1>I would estimate is much smaller than that, because what

1162
01:01:42.280 --> 01:01:45.320
<v Speaker 1>one person calls cinnamon red and another person calls light

1163
01:01:45.400 --> 01:01:47.760
<v Speaker 1>brown might be exactly the same color, you know, and

1164
01:01:47.840 --> 01:01:50.920
<v Speaker 1>so and then if individuals change over time. But one

1165
01:01:50.920 --> 01:01:52.559
<v Speaker 1>of the things that I think is interesting is that

1166
01:01:52.599 --> 01:01:55.400
<v Speaker 1>there is a sort of like a rule or a law,

1167
01:01:55.920 --> 01:01:57.639
<v Speaker 1>and the name of it escapes me right now. That

1168
01:01:57.760 --> 01:01:59.920
<v Speaker 1>has to do with the color of plumage or pelage

1169
01:02:00.320 --> 01:02:03.599
<v Speaker 1>of a given species in its distribution over latitudes, and

1170
01:02:03.639 --> 01:02:06.639
<v Speaker 1>a lot of it has to do with relative heat

1171
01:02:07.119 --> 01:02:10.800
<v Speaker 1>and sunlight distribution, because obviously, if you're an animal of

1172
01:02:10.840 --> 01:02:13.880
<v Speaker 1>a certain size and you have a lot of internal heat,

1173
01:02:13.920 --> 01:02:17.119
<v Speaker 1>you know, giganto thermy that applies to very large animals, well,

1174
01:02:17.159 --> 01:02:20.440
<v Speaker 1>it's not very beneficial to be dark colored as an adult,

1175
01:02:20.599 --> 01:02:23.679
<v Speaker 1>you know, with large mass in a place that's very hot,

1176
01:02:23.760 --> 01:02:25.199
<v Speaker 1>that gets a lot of sun. It would be more

1177
01:02:25.239 --> 01:02:28.880
<v Speaker 1>beneficial to have lighter coloration, so that you're reflecting more

1178
01:02:28.880 --> 01:02:31.119
<v Speaker 1>of the sun's light rather than absorbing it, and then

1179
01:02:31.159 --> 01:02:34.239
<v Speaker 1>vice versa. If you're in a northern climate where you know,

1180
01:02:34.280 --> 01:02:36.199
<v Speaker 1>you don't get a whole lot of direct sunlight year

1181
01:02:36.280 --> 01:02:38.679
<v Speaker 1>round because the winters are long and a little bit

1182
01:02:38.679 --> 01:02:42.559
<v Speaker 1>more brutal, it would be more advantageous, especially for individuals

1183
01:02:42.599 --> 01:02:44.400
<v Speaker 1>of a certain age or size, to be of that

1184
01:02:44.519 --> 01:02:47.440
<v Speaker 1>darker coloration, so they are absorbing more of the heat

1185
01:02:47.480 --> 01:02:50.320
<v Speaker 1>from the sun during the day. And that seems to

1186
01:02:50.360 --> 01:02:53.079
<v Speaker 1>be sort of like present in that north south distribution,

1187
01:02:53.519 --> 01:02:55.280
<v Speaker 1>which I think we could kind of look at as

1188
01:02:55.320 --> 01:02:58.679
<v Speaker 1>a east west because usually we're talking like southeast versus northwest,

1189
01:02:58.719 --> 01:03:03.039
<v Speaker 1>so there's still a south component. But in area X, yeah,

1190
01:03:03.079 --> 01:03:07.280
<v Speaker 1>there were multiple sightings of like one particularly large gray individual.

1191
01:03:07.800 --> 01:03:10.079
<v Speaker 1>Out of all of those in my memory, there was

1192
01:03:10.159 --> 01:03:13.599
<v Speaker 1>one siding where one member saw what he believed to

1193
01:03:13.639 --> 01:03:15.840
<v Speaker 1>be two pairs of legs. He only saw him basically

1194
01:03:15.840 --> 01:03:19.239
<v Speaker 1>from the waist down and brush two pairs of gray legs,

1195
01:03:19.760 --> 01:03:22.880
<v Speaker 1>grayish you know, slate gray legs. And so that's where

1196
01:03:22.880 --> 01:03:24.719
<v Speaker 1>the idea that oh, maybe there's more than one of

1197
01:03:24.760 --> 01:03:29.199
<v Speaker 1>these you know, larger gray ones around, but no one

1198
01:03:29.239 --> 01:03:31.280
<v Speaker 1>had like a clear sighting of like two gray ones

1199
01:03:31.320 --> 01:03:33.519
<v Speaker 1>from the waist up or you know, head to toe

1200
01:03:33.599 --> 01:03:34.519
<v Speaker 1>or anything like that.

1201
01:03:34.880 --> 01:03:37.480
<v Speaker 3>I know, I know in the Northwest and like Northwest

1202
01:03:37.559 --> 01:03:41.880
<v Speaker 3>territories in Yukon and Alaska, that black is like about

1203
01:03:41.920 --> 01:03:45.199
<v Speaker 3>eighty percent of all the sightings. So that makes sense too,

1204
01:03:45.280 --> 01:03:48.599
<v Speaker 3>you know, And then we need to restrially go crunch

1205
01:03:48.599 --> 01:03:50.679
<v Speaker 3>to that data to tell us if that's what the

1206
01:03:50.719 --> 01:03:53.159
<v Speaker 3>real number is. But she's think there's a lot more

1207
01:03:53.199 --> 01:03:58.000
<v Speaker 3>black ones up there. Then another interesting thing he had

1208
01:03:58.000 --> 01:04:02.039
<v Speaker 3>in there was aggressive encount and only seven percent of

1209
01:04:02.039 --> 01:04:05.920
<v Speaker 3>the cases you found were aggressive, and only one percent

1210
01:04:06.119 --> 01:04:10.760
<v Speaker 3>or less involved chest beating, car shaking, those types of

1211
01:04:10.760 --> 01:04:14.000
<v Speaker 3>those type of things. And it was for aggressive you

1212
01:04:14.039 --> 01:04:16.639
<v Speaker 3>had seven point nine percent of encounters in the South

1213
01:04:17.199 --> 01:04:20.000
<v Speaker 3>and five point four percent in the West. I was

1214
01:04:20.039 --> 01:04:23.639
<v Speaker 3>expecting this. The highest percent for aggressive encounters was fishing

1215
01:04:23.679 --> 01:04:26.760
<v Speaker 3>at sixteen percent, because that's kind of what we've always

1216
01:04:26.800 --> 01:04:30.119
<v Speaker 3>imagined was that was fishing seem to get the most

1217
01:04:30.159 --> 01:04:33.599
<v Speaker 3>aggressive encounters because I guess with aggressive, like you know,

1218
01:04:33.639 --> 01:04:37.360
<v Speaker 3>it includes rock throwing, like you know, throwing pine cones

1219
01:04:37.480 --> 01:04:40.159
<v Speaker 3>or like a fishermen, I think they know things being

1220
01:04:40.199 --> 01:04:42.000
<v Speaker 3>thrown a lot more because it plops in the water

1221
01:04:42.079 --> 01:04:43.559
<v Speaker 3>in front of you, like they throw stuff in the

1222
01:04:43.559 --> 01:04:46.280
<v Speaker 3>water around the fishermen, you know. And I think that

1223
01:04:46.280 --> 01:04:49.880
<v Speaker 3>that accounts for like the aggressive why that was stuck

1224
01:04:49.880 --> 01:04:51.599
<v Speaker 3>out so much higher in the aggressive account.

1225
01:04:52.400 --> 01:04:52.639
<v Speaker 4>Yeah.

1226
01:04:52.679 --> 01:04:56.440
<v Speaker 5>So, yeah, the aggression thing was something that I had

1227
01:04:56.480 --> 01:05:00.280
<v Speaker 5>heard about, Like just I heard of folks say that,

1228
01:05:00.519 --> 01:05:02.840
<v Speaker 5>you know, the saf squashes in the South are more

1229
01:05:02.840 --> 01:05:08.079
<v Speaker 5>aggressive than anywhere else in the United States. And at

1230
01:05:08.159 --> 01:05:10.760
<v Speaker 5>least for how you know things are reported, there are

1231
01:05:10.880 --> 01:05:17.559
<v Speaker 5>more reports of general aggression or intimidation behaviors reported in

1232
01:05:17.599 --> 01:05:20.800
<v Speaker 5>the South. And I do like to say too, the

1233
01:05:21.039 --> 01:05:26.000
<v Speaker 5>like encounters that are explicitly aggressive, like you know, bluff

1234
01:05:26.079 --> 01:05:31.320
<v Speaker 5>charges or the witness genuinely felt like they were in danger,

1235
01:05:32.519 --> 01:05:36.000
<v Speaker 5>they make up, you know, less than five percent of reports,

1236
01:05:36.000 --> 01:05:37.719
<v Speaker 5>because that's something I get asked about too, is like,

1237
01:05:38.639 --> 01:05:41.239
<v Speaker 5>you know, are they are they going to hurt you?

1238
01:05:42.320 --> 01:05:45.119
<v Speaker 5>And to which you know, I can say, I don't know,

1239
01:05:45.360 --> 01:05:47.960
<v Speaker 5>but at least you know, the reports we do have.

1240
01:05:49.079 --> 01:05:53.239
<v Speaker 5>That's the stat on that. But yeah, so, so in

1241
01:05:53.280 --> 01:05:58.239
<v Speaker 5>the South they are expressing at least aggressive behaviors more

1242
01:05:58.280 --> 01:06:02.320
<v Speaker 5>frequently than those in the West. And it does include

1243
01:06:02.360 --> 01:06:08.000
<v Speaker 5>things like object throwing, tree shaking, bluff charges, stuff like that.

1244
01:06:08.239 --> 01:06:13.719
<v Speaker 5>But the number of reports where the sasquatch was like,

1245
01:06:14.480 --> 01:06:18.440
<v Speaker 5>you know, trying to harm the witness in some way,

1246
01:06:18.920 --> 01:06:22.880
<v Speaker 5>you know, like legitimately is very very low, at least

1247
01:06:22.920 --> 01:06:24.719
<v Speaker 5>how they're reported, and that, you know, in that in

1248
01:06:24.760 --> 01:06:28.519
<v Speaker 5>itself could be due to well, maybe the witness, you know,

1249
01:06:28.880 --> 01:06:31.519
<v Speaker 5>doesn't want to report something like that because it was

1250
01:06:31.760 --> 01:06:35.239
<v Speaker 5>you know traumatic or you know, really difficult for them

1251
01:06:35.239 --> 01:06:37.639
<v Speaker 5>to talk about. So we might we probably don't have

1252
01:06:37.840 --> 01:06:42.159
<v Speaker 5>all the data on those kinds of reports. And yeah,

1253
01:06:42.239 --> 01:06:45.280
<v Speaker 5>so so we do. We do see aggression at least

1254
01:06:45.320 --> 01:06:50.400
<v Speaker 5>more frequently in the South, but that definitely still happens.

1255
01:06:50.039 --> 01:06:51.519
<v Speaker 3>In the West. You know.

1256
01:06:51.719 --> 01:06:54.360
<v Speaker 2>I've got some questions about that sort of thing, and

1257
01:06:54.400 --> 01:06:55.800
<v Speaker 2>I also want to know a little bit more about

1258
01:06:55.800 --> 01:06:58.440
<v Speaker 2>your personal journey into the world of Bigfoot as well,

1259
01:06:58.480 --> 01:07:00.679
<v Speaker 2>and I think we should continue that compstation over on

1260
01:07:00.719 --> 01:07:04.039
<v Speaker 2>the members side, So we'd love to have you join

1261
01:07:04.119 --> 01:07:07.039
<v Speaker 2>us over there, of course, and I think you're doing

1262
01:07:07.280 --> 01:07:09.360
<v Speaker 2>fantastic work. And I want to thank you for joining

1263
01:07:09.440 --> 01:07:11.559
<v Speaker 2>us for the public side of our podcast before we

1264
01:07:11.599 --> 01:07:13.239
<v Speaker 2>go over to the members. So thank you so much,

1265
01:07:13.480 --> 01:07:15.679
<v Speaker 2>not only for coming on the podcast and spending time

1266
01:07:15.719 --> 01:07:18.440
<v Speaker 2>with us, but also from freeing us from our own

1267
01:07:18.480 --> 01:07:20.400
<v Speaker 2>assumptions by using data.

1268
01:07:20.920 --> 01:07:21.760
<v Speaker 4>Yeah, no problem.

1269
01:07:21.840 --> 01:07:25.159
<v Speaker 5>I'm I just appreciate you guys so much for having

1270
01:07:25.199 --> 01:07:28.000
<v Speaker 5>me on. I love love talking about this stuff. And

1271
01:07:28.400 --> 01:07:29.679
<v Speaker 5>I don't think I got to mention this, but you

1272
01:07:29.760 --> 01:07:34.360
<v Speaker 5>guys had such a huge influence on you know, me

1273
01:07:34.480 --> 01:07:38.119
<v Speaker 5>even pursuing this project and just being interested in Sasquatch

1274
01:07:38.159 --> 01:07:41.079
<v Speaker 5>in general. So I honestly just feel really humbled to

1275
01:07:41.119 --> 01:07:42.039
<v Speaker 5>be talking to you guys.

1276
01:07:42.440 --> 01:07:43.239
<v Speaker 2>So it's our fault.

1277
01:07:43.400 --> 01:07:47.880
<v Speaker 3>Wow, thank you. Yeah, I want to say thank you, Yeah,

1278
01:07:47.960 --> 01:07:49.719
<v Speaker 3>thank you, thank you for coming on the show, but

1279
01:07:50.039 --> 01:07:52.920
<v Speaker 3>way more important, thank you, huge, huge, thank you for

1280
01:07:53.119 --> 01:07:56.719
<v Speaker 3>doing this for us. Would be statistically, you know, boring,

1281
01:07:57.239 --> 01:07:58.840
<v Speaker 3>you know, just I wouldn't want to do it. But

1282
01:07:58.840 --> 01:08:01.079
<v Speaker 3>I'm so glad you're doing it. I'm sure everyone else

1283
01:08:01.199 --> 01:08:03.199
<v Speaker 3>is too, So thank you. Treasure that you can follow

1284
01:08:03.280 --> 01:08:07.199
<v Speaker 3>Tresha on Instagram and face. She's on all of them.

1285
01:08:07.639 --> 01:08:10.800
<v Speaker 3>She's got some interesting things on there. It's not so technical.

1286
01:08:10.840 --> 01:08:13.480
<v Speaker 3>If you go to our videos and stuff, it's really entertaining.

1287
01:08:13.599 --> 01:08:18.319
<v Speaker 3>She presents it clearly and easy to understand. So, okay,

1288
01:08:18.520 --> 01:08:20.560
<v Speaker 3>we're going to go join her now at the Patreon section.

1289
01:08:21.159 --> 01:08:27.640
<v Speaker 3>So until next week, y'all, keep it squatchy.

1290
01:08:29.239 --> 01:08:32.520
<v Speaker 2>Thanks for listening to this week's episode of Bigfoot and Beyond.

1291
01:08:32.880 --> 01:08:35.199
<v Speaker 2>If you liked what you heard, please rate and review

1292
01:08:35.239 --> 01:08:38.520
<v Speaker 2>us on iTunes, subscribe to Bigfoot and Beyond wherever you

1293
01:08:38.600 --> 01:08:41.840
<v Speaker 2>get your podcasts, and follow us on Facebook and Instagram

1294
01:08:41.880 --> 01:08:45.439
<v Speaker 2>at Bigfoot and Beyond podcast. You can find us on

1295
01:08:45.479 --> 01:08:49.119
<v Speaker 2>Twitter at Bigfoot and Beyond that's an N in the middle,

1296
01:08:49.520 --> 01:08:52.560
<v Speaker 2>and tweet us your thoughts and questions with the hashtag

1297
01:08:52.760 --> 01:08:54.560
<v Speaker 2>Bigfoot and Beyond

1298
01:09:00.560 --> 01:09:01.640
<v Speaker 1>Who Talk Too.