WEBVTT

1
00:00:02.960 --> 00:00:07.040
<v Speaker 1>Big Food and Beyond.

2
00:00:06.759 --> 00:00:10.960
<v Speaker 2>With Cliff and Bobo. These guys are your favorites, so

3
00:00:11.240 --> 00:00:13.240
<v Speaker 2>like to subscribe and rain it.

4
00:00:13.359 --> 00:00:16.199
<v Speaker 3>Live star S and Me.

5
00:00:18.120 --> 00:00:24.879
<v Speaker 1>Greatest Gone Yesterday and listening watching Lin always keep its watching.

6
00:00:26.640 --> 00:00:30.399
<v Speaker 4>And now you're hosts Cliff Barrickman and James Bobo Fay.

7
00:00:31.199 --> 00:00:33.840
<v Speaker 2>Well, hello everybody, this is Cliff, And of course you're

8
00:00:33.880 --> 00:00:37.240
<v Speaker 2>listening to Bigfoot and Beyond with Cliff and usually Bobo.

9
00:00:37.679 --> 00:00:40.719
<v Speaker 2>Today is another one of the circumstances. Bobo is unavailable

10
00:00:40.840 --> 00:00:43.759
<v Speaker 2>for us, so we're just gonna move ahead without him.

11
00:00:44.320 --> 00:00:47.640
<v Speaker 2>And I'm certain at some point you'll get Bobo without me,

12
00:00:47.840 --> 00:00:50.320
<v Speaker 2>So all the Bobo fans keep listening. So I think

13
00:00:50.320 --> 00:00:54.479
<v Speaker 2>you're gonna enjoy today's episode. Today, I am thrilled to

14
00:00:54.640 --> 00:00:58.000
<v Speaker 2>have a doctor Haskell Heart on the program here. He

15
00:00:58.119 --> 00:01:00.960
<v Speaker 2>of course is the author of the Sasquatch Genome Project,

16
00:01:01.039 --> 00:01:04.640
<v Speaker 2>a failed DNA study kindly kind of a controversial book

17
00:01:05.000 --> 00:01:08.640
<v Speaker 2>based on a controversial study by doctor melbur Ketcham of course,

18
00:01:08.719 --> 00:01:10.799
<v Speaker 2>so I wanted to get in deep with that, and

19
00:01:11.079 --> 00:01:13.519
<v Speaker 2>of course any chance we have to talk to somebody

20
00:01:13.519 --> 00:01:16.439
<v Speaker 2>with a legitimate PhD, we want to jump on more.

21
00:01:16.519 --> 00:01:19.920
<v Speaker 2>Science needs to be brought into this field. There's nothing

22
00:01:19.959 --> 00:01:22.879
<v Speaker 2>wrong with amateurs doing the work, but when scientists get involved,

23
00:01:23.239 --> 00:01:25.799
<v Speaker 2>it just brings our subject, the Bigfoot subject, to a

24
00:01:25.879 --> 00:01:29.799
<v Speaker 2>brand new level. So with that, doctor Hart, welcome to

25
00:01:29.799 --> 00:01:32.560
<v Speaker 2>Bigfoot and Beyond with Cliff and usually Bobo. Thanks for

26
00:01:32.560 --> 00:01:33.760
<v Speaker 2>taking some time for us today.

27
00:01:34.439 --> 00:01:38.200
<v Speaker 3>Well, it's a pleasure to be here, Cliff, and.

28
00:01:39.519 --> 00:01:42.239
<v Speaker 1>I'm really honored to be on your program.

29
00:01:42.239 --> 00:01:43.159
<v Speaker 3>Thanks for having me.

30
00:01:43.879 --> 00:01:46.680
<v Speaker 2>Well, you know, I'm thrilled to have you on. When

31
00:01:46.680 --> 00:01:48.920
<v Speaker 2>I heard about this book, I bought it. I've read it,

32
00:01:48.959 --> 00:01:50.359
<v Speaker 2>and I'll be honest with you, a lot of it

33
00:01:50.400 --> 00:01:53.040
<v Speaker 2>went over my head because I don't have the chemistry background.

34
00:01:53.040 --> 00:01:55.159
<v Speaker 2>I took a year of chemistry in college, well in

35
00:01:55.239 --> 00:01:57.319
<v Speaker 2>high school too, but in college. But that's all I have.

36
00:01:57.760 --> 00:02:00.840
<v Speaker 2>So I but I you know, one of my superpowers

37
00:02:00.879 --> 00:02:03.120
<v Speaker 2>I've been told is that I can take very complex

38
00:02:03.159 --> 00:02:07.079
<v Speaker 2>information and kind of distill it for normal people, you know,

39
00:02:07.159 --> 00:02:09.599
<v Speaker 2>people without advanced degrees, for example, because I was a

40
00:02:09.639 --> 00:02:11.599
<v Speaker 2>teacher for a long time. So I'm hoping to do

41
00:02:11.639 --> 00:02:14.000
<v Speaker 2>a little bit of that today with some of your work.

42
00:02:14.240 --> 00:02:17.240
<v Speaker 2>But before we get into the meat of it, doctor,

43
00:02:17.400 --> 00:02:19.439
<v Speaker 2>can you tell us a little bit about your background

44
00:02:19.520 --> 00:02:24.599
<v Speaker 2>and what makes you qualified as a scientist specifically to

45
00:02:24.599 --> 00:02:26.159
<v Speaker 2>look into something like this.

46
00:02:26.759 --> 00:02:30.360
<v Speaker 3>Well, I have a PhD in chemistry.

47
00:02:30.159 --> 00:02:33.319
<v Speaker 2>Any particular kind of chemistry, like organic chemistry or.

48
00:02:33.360 --> 00:02:37.759
<v Speaker 1>What Actually it was physical chemistry, Okay, but I did

49
00:02:37.840 --> 00:02:43.800
<v Speaker 1>research that was also in organic chemistry, and I talked

50
00:02:43.840 --> 00:02:46.280
<v Speaker 1>for ten and a half years at the University of

51
00:02:46.280 --> 00:02:52.080
<v Speaker 1>North Carolina at Wilmington and General Chemistry, Physical chemistry, a

52
00:02:52.159 --> 00:02:57.000
<v Speaker 1>couple of other seminars. Then I took a position with

53
00:02:57.120 --> 00:03:02.719
<v Speaker 1>Shelle in Houston and Research as analytical chemist and spent

54
00:03:02.840 --> 00:03:11.080
<v Speaker 1>over twenty years solving chemical problems for shell So I

55
00:03:11.120 --> 00:03:16.280
<v Speaker 1>have a good background and analytical techniques, of which really

56
00:03:17.240 --> 00:03:23.599
<v Speaker 1>the biochemistry in this controversial papers based on analytical chemistry. Really,

57
00:03:24.840 --> 00:03:28.560
<v Speaker 1>I'm not a biochemist, but I believe that I'm fully

58
00:03:28.599 --> 00:03:31.319
<v Speaker 1>capable of learning what I need to learn in that

59
00:03:31.479 --> 00:03:36.879
<v Speaker 1>area based on my background. Quite frankly, I had not

60
00:03:37.120 --> 00:03:41.840
<v Speaker 1>followed the Bigfoot phenomenon very closely.

61
00:03:42.159 --> 00:03:45.000
<v Speaker 3>I kind of heard headlines from time to time.

62
00:03:45.520 --> 00:03:48.479
<v Speaker 1>Until the catch and paper came out, and that's how

63
00:03:48.520 --> 00:03:52.199
<v Speaker 1>I got enervated and involved.

64
00:03:53.400 --> 00:03:57.000
<v Speaker 2>Now, from reading your book, you write about your sasquatch

65
00:03:57.080 --> 00:03:59.919
<v Speaker 2>siting that you actually had when did that occur? In

66
00:04:00.000 --> 00:04:01.439
<v Speaker 2>can you tell us little bit about that? Please?

67
00:04:01.680 --> 00:04:06.199
<v Speaker 3>Yes, that occurred much more recently. Of course.

68
00:04:06.199 --> 00:04:11.680
<v Speaker 1>Her paper came out in twenty thirteen, and my sighting

69
00:04:12.000 --> 00:04:18.160
<v Speaker 1>was in two thousand and eighteen. And well, I was

70
00:04:18.199 --> 00:04:25.439
<v Speaker 1>in southeast Oklahoma in the Wachitaw National Forest and walking

71
00:04:25.519 --> 00:04:29.199
<v Speaker 1>down a trail, and all of a sudden, out of

72
00:04:29.240 --> 00:04:34.000
<v Speaker 1>my peripheral vision, I saw this motion and I saw

73
00:04:34.720 --> 00:04:38.759
<v Speaker 1>I saw the animal in clear sunlight, which is unusual,

74
00:04:39.800 --> 00:04:42.639
<v Speaker 1>especially in that area, since there's a lot of high

75
00:04:42.680 --> 00:04:46.480
<v Speaker 1>trees and it's very dense. There's very few sunny areas,

76
00:04:46.560 --> 00:04:51.399
<v Speaker 1>so this was fortunate. It had a nice reddish brown

77
00:04:51.759 --> 00:04:55.800
<v Speaker 1>color to it, as a lot of people have previously reported,

78
00:04:56.879 --> 00:05:01.600
<v Speaker 1>contrasted against a green lit background, which couldn't ask for

79
00:05:01.759 --> 00:05:02.639
<v Speaker 1>better contrast.

80
00:05:03.319 --> 00:05:07.079
<v Speaker 3>This is not dark gray on light gray or whatever

81
00:05:07.160 --> 00:05:08.839
<v Speaker 3>most people see.

82
00:05:09.879 --> 00:05:14.360
<v Speaker 1>And I only saw it for I'd have to estimate

83
00:05:15.399 --> 00:05:17.519
<v Speaker 1>between two and three seconds.

84
00:05:18.560 --> 00:05:20.879
<v Speaker 3>As it darted back into the woods.

85
00:05:21.759 --> 00:05:25.319
<v Speaker 1>I tried to see it again by walking around, and

86
00:05:25.639 --> 00:05:32.800
<v Speaker 1>I did not, so later some colleagues and I measured

87
00:05:32.839 --> 00:05:35.439
<v Speaker 1>the distance and it was thirty yards.

88
00:05:35.879 --> 00:05:38.360
<v Speaker 2>Oh that's nice and clothes great, which is close.

89
00:05:38.480 --> 00:05:41.639
<v Speaker 1>I thought it was fifty yards, but I'm not good

90
00:05:41.680 --> 00:05:46.120
<v Speaker 1>at estimating, and we did this twice. One guy stepped

91
00:05:46.120 --> 00:05:49.920
<v Speaker 1>it off and also he said, point to a tree

92
00:05:49.959 --> 00:05:52.279
<v Speaker 1>that's about the same distance, and I did.

93
00:05:53.480 --> 00:05:55.519
<v Speaker 3>This was back at the camp, and.

94
00:05:55.759 --> 00:05:58.399
<v Speaker 1>He measured it and it was exactly thirty yards too,

95
00:05:58.560 --> 00:06:02.639
<v Speaker 1>So I'm pretty confident that's about, you know, plus or

96
00:06:02.639 --> 00:06:05.600
<v Speaker 1>minus a little air there, that's how far it was.

97
00:06:05.759 --> 00:06:08.040
<v Speaker 3>And that's also very fortunate.

98
00:06:09.279 --> 00:06:12.639
<v Speaker 1>And there were no obstructions in front of me that

99
00:06:12.800 --> 00:06:18.920
<v Speaker 1>would have obscured the animal. So I'm very confident that

100
00:06:18.920 --> 00:06:20.000
<v Speaker 1>that's what I saw.

101
00:06:20.240 --> 00:06:21.160
<v Speaker 3>It was large.

102
00:06:21.240 --> 00:06:25.639
<v Speaker 1>We had a another guy stood out there. He's over

103
00:06:25.720 --> 00:06:29.959
<v Speaker 1>six feet tall, and it was a lot taller than

104
00:06:30.040 --> 00:06:32.560
<v Speaker 1>him and a lot broader too, So.

105
00:06:33.399 --> 00:06:35.800
<v Speaker 3>And the vertical posture, the.

106
00:06:37.759 --> 00:06:43.439
<v Speaker 1>Aspect ratio vertical rather than horizontal, you know, makes it

107
00:06:43.480 --> 00:06:46.000
<v Speaker 1>clear it was not a bear or.

108
00:06:46.000 --> 00:06:49.120
<v Speaker 3>Something like that. And it walked.

109
00:06:48.759 --> 00:06:53.360
<v Speaker 1>Very fast, and I which a bear does not on

110
00:06:53.600 --> 00:06:57.839
<v Speaker 1>two feet if it ever cuts on two feet, and so.

111
00:06:57.839 --> 00:07:02.360
<v Speaker 3>And I heard a snap a twig or a branch

112
00:07:02.600 --> 00:07:03.000
<v Speaker 3>that it.

113
00:07:03.160 --> 00:07:07.040
<v Speaker 1>Stepped on, coming right from the same place, so you know,

114
00:07:08.079 --> 00:07:11.399
<v Speaker 1>that's another sensory confirmation.

115
00:07:12.600 --> 00:07:15.199
<v Speaker 3>So that's the long and the short of it.

116
00:07:15.720 --> 00:07:18.560
<v Speaker 2>Were you able to locate any footprints or markings in

117
00:07:18.600 --> 00:07:20.040
<v Speaker 2>the ground of any sort.

118
00:07:20.439 --> 00:07:25.360
<v Speaker 1>The ground was disturbed, but there were no obvious footprints

119
00:07:25.360 --> 00:07:26.399
<v Speaker 1>that we could detect.

120
00:07:26.800 --> 00:07:30.839
<v Speaker 2>I see. Okay, One last question about your signing the well,

121
00:07:30.879 --> 00:07:33.560
<v Speaker 2>maybe a couple more thinking about it, But did you

122
00:07:33.560 --> 00:07:36.360
<v Speaker 2>get to see the entire you know, head to head

123
00:07:36.360 --> 00:07:39.560
<v Speaker 2>to toe body as it ran away or walked quickly

124
00:07:39.639 --> 00:07:41.639
<v Speaker 2>away into the brush again or no.

125
00:07:41.920 --> 00:07:45.199
<v Speaker 1>I saw it from the top of the head to

126
00:07:46.600 --> 00:07:52.000
<v Speaker 1>I would say around the knees. There was some lower

127
00:07:52.120 --> 00:07:54.480
<v Speaker 1>lying brush that obscured the feet.

128
00:07:54.920 --> 00:07:58.360
<v Speaker 2>Did it walk like a human? I know, superficially it

129
00:07:58.399 --> 00:08:02.199
<v Speaker 2>walked like a human, But did you notice any distinctions

130
00:08:02.240 --> 00:08:04.240
<v Speaker 2>like well, that was seemed very unhuman like.

131
00:08:05.000 --> 00:08:08.519
<v Speaker 1>Well, the arms were very long, and it was swinging

132
00:08:08.600 --> 00:08:15.800
<v Speaker 1>them as in a fast gate. I did see the hair.

133
00:08:17.240 --> 00:08:20.639
<v Speaker 1>There was some sort of clumped up hair that stood

134
00:08:20.639 --> 00:08:24.040
<v Speaker 1>out and glistened in the sunlight.

135
00:08:24.639 --> 00:08:26.519
<v Speaker 3>I didn't get a good look at the head.

136
00:08:26.560 --> 00:08:31.000
<v Speaker 1>It was going away at forty five degrees, so I

137
00:08:31.079 --> 00:08:33.159
<v Speaker 1>saw more of the back of the head, and I

138
00:08:33.159 --> 00:08:37.720
<v Speaker 1>didn't see the face, so I can't comment on that

139
00:08:38.200 --> 00:08:39.279
<v Speaker 1>the arms were long.

140
00:08:39.480 --> 00:08:42.480
<v Speaker 3>Is about the only other thing I could.

141
00:08:42.399 --> 00:08:45.759
<v Speaker 2>Add, now, were you looking for sasquatches when the sighting occurred,

142
00:08:45.840 --> 00:08:48.279
<v Speaker 2>or is this an accidental thing you were hunting or something?

143
00:08:48.399 --> 00:08:50.120
<v Speaker 3>In a general way, I was.

144
00:08:51.240 --> 00:08:57.080
<v Speaker 1>I went to this area because it's known to have sasquatch.

145
00:08:57.240 --> 00:08:58.679
<v Speaker 3>Other people have seen.

146
00:08:58.440 --> 00:09:05.039
<v Speaker 1>Them and observed their doings, and so yes, on this

147
00:09:05.159 --> 00:09:09.720
<v Speaker 1>particular trip, I you know, it was sort of like

148
00:09:09.799 --> 00:09:11.159
<v Speaker 1>I'm always alert.

149
00:09:11.279 --> 00:09:14.159
<v Speaker 3>I'm a pretty keen observer of nature, but.

150
00:09:14.440 --> 00:09:19.200
<v Speaker 1>I wasn't just you know, keyed in ninety nine percent

151
00:09:19.320 --> 00:09:20.919
<v Speaker 1>to finding a sasquatch.

152
00:09:21.799 --> 00:09:24.600
<v Speaker 3>So it came as a little bit of a surprise.

153
00:09:25.639 --> 00:09:28.159
<v Speaker 2>Yeah, I think, no matter how well you think you

154
00:09:28.240 --> 00:09:30.559
<v Speaker 2>prepare yourself for seeing such a thing, if you're lucky

155
00:09:30.639 --> 00:09:32.240
<v Speaker 2>enough to actually have it happen, there's no way you

156
00:09:32.279 --> 00:09:34.559
<v Speaker 2>can prepare yourself. It's like, well, that was silly that

157
00:09:34.559 --> 00:09:36.600
<v Speaker 2>I even thought I could figure out whether.

158
00:09:37.080 --> 00:09:40.720
<v Speaker 1>I mean, I had a camera but no time to

159
00:09:41.240 --> 00:09:44.559
<v Speaker 1>get it out in a couple of seconds like that.

160
00:09:46.159 --> 00:09:49.559
<v Speaker 1>You know, if I had been a little bit more

161
00:09:49.600 --> 00:09:51.600
<v Speaker 1>on the ball, I might have had it ready in

162
00:09:51.679 --> 00:09:54.279
<v Speaker 1>my hands. But then you walk around like that and

163
00:09:54.759 --> 00:09:57.679
<v Speaker 1>you're so focused on your camera you don't see other things.

164
00:09:57.679 --> 00:10:01.559
<v Speaker 1>So I the way it was no picture.

165
00:10:02.080 --> 00:10:04.159
<v Speaker 2>Oh yeah, And two or three seconds really isn't long

166
00:10:04.279 --> 00:10:06.159
<v Speaker 2>enough to get dracked together, to know.

167
00:10:06.440 --> 00:10:09.960
<v Speaker 1>Your camera can barely focus in that amount of time.

168
00:10:10.240 --> 00:10:10.519
<v Speaker 1>You know.

169
00:10:11.000 --> 00:10:12.799
<v Speaker 2>Yeah, when I'm driving the roads, and when I when

170
00:10:12.799 --> 00:10:14.480
<v Speaker 2>I go out bigfooting or whatever, and I'm alone, I'm

171
00:10:14.519 --> 00:10:16.919
<v Speaker 2>driving the roads, and I keep a video camera right

172
00:10:16.960 --> 00:10:18.639
<v Speaker 2>next to me, right next to me on the on

173
00:10:18.679 --> 00:10:20.960
<v Speaker 2>the center console, and I tell myself, I'm going to

174
00:10:21.399 --> 00:10:25.639
<v Speaker 2>video any animal I see, an owl, a deer, whatever,

175
00:10:26.519 --> 00:10:30.039
<v Speaker 2>And through it throughout the years, I've failed ninety five

176
00:10:30.120 --> 00:10:33.080
<v Speaker 2>percent of the time because the counters are so brief,

177
00:10:33.120 --> 00:10:35.519
<v Speaker 2>and you have to fumble for the camera and you know,

178
00:10:35.519 --> 00:10:37.200
<v Speaker 2>you have to turn the camera on and has a

179
00:10:37.320 --> 00:10:39.679
<v Speaker 2>cycle through it of the software and all that kind

180
00:10:39.720 --> 00:10:42.080
<v Speaker 2>of stuff. It's just ridiculous to think that we should

181
00:10:42.120 --> 00:10:44.360
<v Speaker 2>have all these pictures of these things when you kind

182
00:10:44.360 --> 00:10:46.720
<v Speaker 2>of had an average sighting in a way, it lasted

183
00:10:46.759 --> 00:10:48.720
<v Speaker 2>two or three seconds, the thing walked away, you never

184
00:10:48.759 --> 00:10:50.840
<v Speaker 2>saw it again. That's kind of the story for eighty

185
00:10:50.879 --> 00:10:52.240
<v Speaker 2>percent of all sightings, it seems.

186
00:10:52.320 --> 00:10:55.919
<v Speaker 1>I'm sorry to say you that's true. Yes, you're very

187
00:10:56.000 --> 00:11:00.440
<v Speaker 1>right about that. And one other approach one could have

188
00:11:00.679 --> 00:11:03.960
<v Speaker 1>is to use one of these go pros, or you know,

189
00:11:04.600 --> 00:11:10.039
<v Speaker 1>a camera that's on constantly on your head, directed in

190
00:11:10.080 --> 00:11:14.000
<v Speaker 1>the direction that you're looking. Had I done that, I

191
00:11:14.120 --> 00:11:16.440
<v Speaker 1>might have got some sort of video. I don't know

192
00:11:16.480 --> 00:11:19.840
<v Speaker 1>how good it would be, but that's another approach.

193
00:11:19.960 --> 00:11:24.879
<v Speaker 3>And then you do that and for days and days

194
00:11:24.919 --> 00:11:26.480
<v Speaker 3>and still come up with nothing.

195
00:11:26.600 --> 00:11:30.840
<v Speaker 2>Usually that's the story, isn't it. I'm a huge advocate,

196
00:11:30.840 --> 00:11:32.840
<v Speaker 2>and I think I harp on it quite often on

197
00:11:32.879 --> 00:11:35.759
<v Speaker 2>the program here that I think every car driving in

198
00:11:35.759 --> 00:11:39.240
<v Speaker 2>the woods should be equipped with a dash cam, since

199
00:11:40.360 --> 00:11:42.919
<v Speaker 2>you know, almost half of sightings happened from cars on

200
00:11:42.960 --> 00:11:44.759
<v Speaker 2>the side of the roads. If you know, if all

201
00:11:44.759 --> 00:11:46.559
<v Speaker 2>these cars had dash camps, like they do in a

202
00:11:46.559 --> 00:11:49.000
<v Speaker 2>lot of European and Asian countries, we would have I

203
00:11:49.000 --> 00:11:52.120
<v Speaker 2>think a fair body of footage of sasquatches, and the

204
00:11:52.200 --> 00:11:54.440
<v Speaker 2>Georgia dash camp video would be proof in the pudding

205
00:11:54.600 --> 00:11:57.840
<v Speaker 2>on that one. But yeah, I personally use a Garment

206
00:11:57.919 --> 00:11:59.960
<v Speaker 2>dash camp. I don't I'm not sponsored by Garment or anything,

207
00:12:00.080 --> 00:12:01.840
<v Speaker 2>you know, but that's the one I happen to have.

208
00:12:01.879 --> 00:12:04.759
<v Speaker 2>It's fantastic. But if you want to spend less money,

209
00:12:04.879 --> 00:12:07.440
<v Speaker 2>our listeners out there get an eighty dollars dash cam,

210
00:12:07.679 --> 00:12:10.360
<v Speaker 2>you know every they're so cheap nowties I bet, I

211
00:12:10.360 --> 00:12:12.120
<v Speaker 2>bet you can get them for cheaper than eighty dollars,

212
00:12:12.600 --> 00:12:14.840
<v Speaker 2>and you can drive roads at night and suddenly you're

213
00:12:14.840 --> 00:12:17.000
<v Speaker 2>big footing and have a better chance of getting footage

214
00:12:17.039 --> 00:12:18.039
<v Speaker 2>than almost anybody else.

215
00:12:18.840 --> 00:12:23.159
<v Speaker 1>Well, that's a great tip I'm going to pick up

216
00:12:23.200 --> 00:12:27.200
<v Speaker 1>on myself. I hadn't thought about that much. Now, do

217
00:12:27.279 --> 00:12:29.840
<v Speaker 1>you keep them on constantly or do you switch them

218
00:12:29.840 --> 00:12:30.720
<v Speaker 1>on when you need them?

219
00:12:30.919 --> 00:12:33.120
<v Speaker 2>The way that most dash cams work nowadays is that

220
00:12:33.159 --> 00:12:37.000
<v Speaker 2>they're constantly recording, and so if you you know, they're

221
00:12:37.000 --> 00:12:39.639
<v Speaker 2>obviously be for accidents and things like that, you know,

222
00:12:39.679 --> 00:12:43.120
<v Speaker 2>insurance purposes, But that's secondary to me. Bigfoot's number one

223
00:12:43.120 --> 00:12:45.879
<v Speaker 2>on my list, especially considering where I live. So if

224
00:12:45.919 --> 00:12:48.120
<v Speaker 2>you're driving down the road and say a sasquatch or

225
00:12:48.120 --> 00:12:50.679
<v Speaker 2>a bear or anything else you want to capture runs

226
00:12:50.679 --> 00:12:53.960
<v Speaker 2>out in front of the car, the camera is already recording,

227
00:12:54.039 --> 00:12:56.039
<v Speaker 2>and so most of them you just push a button

228
00:12:56.279 --> 00:12:59.600
<v Speaker 2>on the camera itself, and what it does it saves

229
00:13:00.120 --> 00:13:03.919
<v Speaker 2>the footage fifteen or twenty seconds, sometimes thirty seconds before

230
00:13:04.440 --> 00:13:08.960
<v Speaker 2>and after you push the button, And that way you

231
00:13:09.000 --> 00:13:11.679
<v Speaker 2>don't have to go screen through, you know, twenty hours

232
00:13:11.679 --> 00:13:15.120
<v Speaker 2>of you driving, you know, in the freeway right there.

233
00:13:15.159 --> 00:13:17.799
<v Speaker 2>It goes in a special file and those files are

234
00:13:17.840 --> 00:13:20.120
<v Speaker 2>about a minute long or forty seconds long, and they

235
00:13:20.120 --> 00:13:21.919
<v Speaker 2>are saved in a separate spot, so you can go

236
00:13:22.000 --> 00:13:24.120
<v Speaker 2>back and just go into that one folder and look

237
00:13:24.120 --> 00:13:26.080
<v Speaker 2>at the things that you actually wanted to save.

238
00:13:26.600 --> 00:13:29.240
<v Speaker 1>Well, that sounds like a bargain for eighty two one

239
00:13:29.320 --> 00:13:30.360
<v Speaker 1>hundred dollars.

240
00:13:30.639 --> 00:13:33.039
<v Speaker 2>Yeah, yeah, And there's all sorts of cheap ones that

241
00:13:33.080 --> 00:13:35.399
<v Speaker 2>are available out there, you know, Amazon or your local

242
00:13:35.399 --> 00:13:39.799
<v Speaker 2>electronics store. And again, I think statistically speaking, it is

243
00:13:39.840 --> 00:13:42.679
<v Speaker 2>one of the most effective ways one can go bigfooting.

244
00:13:42.720 --> 00:13:45.279
<v Speaker 3>That days though, sounds great, I'm going to do it.

245
00:13:45.639 --> 00:13:48.440
<v Speaker 2>Let's get into the Ketchum study. And you know, and

246
00:13:48.440 --> 00:13:51.679
<v Speaker 2>for listeners are out there who are preparing us to

247
00:13:51.840 --> 00:13:54.799
<v Speaker 2>gore their sacred cow, so to speak. We're not going

248
00:13:54.879 --> 00:13:56.320
<v Speaker 2>to slam Melbour or anything like that. We're going to

249
00:13:56.320 --> 00:14:00.360
<v Speaker 2>talk about the science here, just the science, because what

250
00:14:00.399 --> 00:14:03.000
<v Speaker 2>doctor haskell Hart has done here is essentially one of

251
00:14:03.000 --> 00:14:07.320
<v Speaker 2>the steps of the scientific process of peer review. Science

252
00:14:07.399 --> 00:14:09.559
<v Speaker 2>is not a body of knowledge that these people in

253
00:14:09.639 --> 00:14:13.159
<v Speaker 2>ivory towers protect at all costs because that's their worldview.

254
00:14:13.759 --> 00:14:18.799
<v Speaker 2>Science generally speaking, doesn't squash unpopular opinions if it stands

255
00:14:18.879 --> 00:14:23.120
<v Speaker 2>up to peer review. It generally speaking, if science is

256
00:14:23.159 --> 00:14:28.519
<v Speaker 2>a process of getting to the truth by taking your data,

257
00:14:28.600 --> 00:14:32.240
<v Speaker 2>taking the things that you have here, and forming a model.

258
00:14:32.840 --> 00:14:36.799
<v Speaker 2>In this case the DNA stuff aside for sasquatches, we

259
00:14:36.960 --> 00:14:39.240
<v Speaker 2>have this stuff. People say they see these things, that

260
00:14:39.360 --> 00:14:42.080
<v Speaker 2>giant ape like things in the woods. They are these footprints.

261
00:14:42.360 --> 00:14:45.399
<v Speaker 2>Native people tell stories about these sort of things. There

262
00:14:45.440 --> 00:14:47.399
<v Speaker 2>is this evidence here, and so we're going to come

263
00:14:47.480 --> 00:14:51.279
<v Speaker 2>up with a hypothesis, which of course is like a theory,

264
00:14:51.320 --> 00:14:54.480
<v Speaker 2>but not as strong, shall we say, And hopefully we

265
00:14:54.519 --> 00:14:58.720
<v Speaker 2>can go gather more evidence and if the evidence supports

266
00:14:58.720 --> 00:15:02.360
<v Speaker 2>our hypothesis andhypothesis, and in this case, our hypothesis is

267
00:15:02.360 --> 00:15:05.840
<v Speaker 2>that there's a wild animal responsible for this stuff, some

268
00:15:05.879 --> 00:15:08.360
<v Speaker 2>sort of primate almost certainly right, And so we can

269
00:15:08.399 --> 00:15:13.159
<v Speaker 2>go gather evidence that might support or not support the

270
00:15:13.200 --> 00:15:15.759
<v Speaker 2>presence of some sort of primate in the woods. And

271
00:15:16.679 --> 00:15:19.679
<v Speaker 2>if it supports it, great, We're going to continue trying

272
00:15:19.720 --> 00:15:23.519
<v Speaker 2>to collect more evidence that supports our hypothesis, our guess.

273
00:15:23.919 --> 00:15:27.279
<v Speaker 2>But if we run across evidence that does not support

274
00:15:27.279 --> 00:15:31.000
<v Speaker 2>our hypothesis, then we need to modify our model, modify

275
00:15:31.120 --> 00:15:34.919
<v Speaker 2>our hypothesis, and then try to go collect more. And really,

276
00:15:34.919 --> 00:15:36.840
<v Speaker 2>one of the things that about science, and I don't

277
00:15:36.840 --> 00:15:40.000
<v Speaker 2>think people appreciate, is that scientists are not trying to

278
00:15:40.080 --> 00:15:44.360
<v Speaker 2>prove themselves right most of the time. They're literally trying

279
00:15:44.399 --> 00:15:48.200
<v Speaker 2>to prove themselves wrong most of the time. And if

280
00:15:48.240 --> 00:15:50.440
<v Speaker 2>they can prove themselves wrong, then they have to modify

281
00:15:50.440 --> 00:15:54.480
<v Speaker 2>their hypothesis. But if they cannot prove themselves wrong, well

282
00:15:54.600 --> 00:15:57.559
<v Speaker 2>maybe they're correct, but they continue trying to prove themselves wrong.

283
00:15:57.840 --> 00:15:59.679
<v Speaker 2>So I want to get that straight out there, because

284
00:16:00.200 --> 00:16:05.720
<v Speaker 2>in society today there is this anti science bias, the

285
00:16:05.759 --> 00:16:09.320
<v Speaker 2>distrusting of scientists and specialists or whatever, because our phone

286
00:16:09.320 --> 00:16:11.240
<v Speaker 2>tells us that kind of thing, and I want to

287
00:16:11.279 --> 00:16:13.639
<v Speaker 2>get that out that science in this case, in most cases,

288
00:16:13.759 --> 00:16:16.039
<v Speaker 2>is not a body of knowledge that scientists are protecting

289
00:16:16.080 --> 00:16:19.840
<v Speaker 2>because that's their worldview. It is actually a process of

290
00:16:19.919 --> 00:16:23.159
<v Speaker 2>finding out what the truth is. And doctor Haskell Hart

291
00:16:23.200 --> 00:16:25.840
<v Speaker 2>here has done some of that peer review work, and

292
00:16:25.879 --> 00:16:27.440
<v Speaker 2>that's what we're going to talk about today. So we're

293
00:16:27.480 --> 00:16:31.440
<v Speaker 2>talking about the scientific process. We're not attacking individuals, So

294
00:16:31.480 --> 00:16:36.039
<v Speaker 2>everybody can relax Okay, so thanks for letting me rant

295
00:16:36.039 --> 00:16:37.559
<v Speaker 2>for a moment about that. I just want to set

296
00:16:37.600 --> 00:16:40.320
<v Speaker 2>the record straight, doctor Heart. But how did you first

297
00:16:40.320 --> 00:16:43.320
<v Speaker 2>hear about the sasquatch genome project.

298
00:16:43.759 --> 00:16:46.240
<v Speaker 1>Well, I think, like a lot of people, I heard

299
00:16:46.279 --> 00:16:52.120
<v Speaker 1>about it on the news TV news, because it was

300
00:16:52.279 --> 00:16:59.480
<v Speaker 1>widely reported there by a number of TV networks, and

301
00:17:00.159 --> 00:17:02.480
<v Speaker 1>so that that was my introduction.

302
00:17:02.679 --> 00:17:05.400
<v Speaker 3>And I thought, well, this is great, you know, because

303
00:17:06.119 --> 00:17:06.759
<v Speaker 3>I knew.

304
00:17:06.640 --> 00:17:10.240
<v Speaker 1>Enough about the subject that it was controversial, and that

305
00:17:11.079 --> 00:17:15.400
<v Speaker 1>other than the Patterson Gimlin film there was and some footprints,

306
00:17:15.440 --> 00:17:18.799
<v Speaker 1>there was little to go on. So I thought, great,

307
00:17:18.920 --> 00:17:21.200
<v Speaker 1>you know DNA, that's the answer here.

308
00:17:21.319 --> 00:17:22.119
<v Speaker 3>This will.

309
00:17:23.920 --> 00:17:27.079
<v Speaker 1>Solve the problem of what kind of an animal this is,

310
00:17:27.160 --> 00:17:31.000
<v Speaker 1>and that it's different from human or other apes or whatever.

311
00:17:31.599 --> 00:17:37.319
<v Speaker 1>So I got involved basis everybody else. I paid my

312
00:17:37.440 --> 00:17:40.559
<v Speaker 1>thirty dollars and at the time you had to to

313
00:17:40.640 --> 00:17:46.519
<v Speaker 1>get a copy of the online copy of the paper,

314
00:17:47.400 --> 00:17:50.359
<v Speaker 1>and so then I went to work from there.

315
00:17:50.960 --> 00:17:54.440
<v Speaker 2>Your background isn't necessarily in DNA, as you said, it's

316
00:17:54.440 --> 00:17:58.400
<v Speaker 2>physical chemistry, not the organic chemistry. So how much of

317
00:17:58.440 --> 00:18:01.440
<v Speaker 2>a learning curve re looking? Yet at the time.

318
00:18:01.920 --> 00:18:06.640
<v Speaker 1>Well, here's the thing as a chemist and a chemistry

319
00:18:06.680 --> 00:18:11.200
<v Speaker 1>student way back in the sixties. I knew about DNA.

320
00:18:11.440 --> 00:18:15.240
<v Speaker 1>I knew its structure, I knew what its function was.

321
00:18:16.160 --> 00:18:19.519
<v Speaker 1>I remember when the Nobel Prize was given for the structure,

322
00:18:20.519 --> 00:18:25.480
<v Speaker 1>and so it wasn't exactly a foreign subject to me,

323
00:18:25.599 --> 00:18:30.240
<v Speaker 1>although I had never done any actual research in the area.

324
00:18:31.079 --> 00:18:35.880
<v Speaker 1>And the biggest learning curve, which wasn't all that bad,

325
00:18:36.039 --> 00:18:42.359
<v Speaker 1>really was how to use the National Center for Biotechnology

326
00:18:43.160 --> 00:18:49.279
<v Speaker 1>databases to search a sequence to find what it matches.

327
00:18:50.440 --> 00:18:54.799
<v Speaker 1>And these are this is free access. Your taxes are

328
00:18:54.839 --> 00:18:57.640
<v Speaker 1>paying for it, and I'm happy to say in this

329
00:18:57.720 --> 00:19:00.519
<v Speaker 1>case you're getting your money's worth if you take the

330
00:19:00.640 --> 00:19:05.599
<v Speaker 1>time to learn how to use the software, the search engine,

331
00:19:05.720 --> 00:19:10.319
<v Speaker 1>and how to interpret your results, which is a little

332
00:19:10.359 --> 00:19:16.039
<v Speaker 1>bit more difficult. So I'm the owner of two pats

333
00:19:16.079 --> 00:19:20.440
<v Speaker 1>in databases, So I mean using databases is not a

334
00:19:20.480 --> 00:19:27.680
<v Speaker 1>strange subject. And quite frankly, you're comparing two strings of

335
00:19:27.960 --> 00:19:30.640
<v Speaker 1>just four different characters each.

336
00:19:31.880 --> 00:19:32.480
<v Speaker 3>Repeated.

337
00:19:32.599 --> 00:19:38.000
<v Speaker 1>You know, A, TG and C the four bases, and

338
00:19:38.759 --> 00:19:41.119
<v Speaker 1>you don't have to be a biochemist to do that.

339
00:19:41.279 --> 00:19:45.960
<v Speaker 1>It's a mathematical problem, quite frankly, And so that's how

340
00:19:46.039 --> 00:19:46.839
<v Speaker 1>I approached it.

341
00:19:47.599 --> 00:19:50.079
<v Speaker 2>Yeah, and just as a very brief primer just for

342
00:19:50.119 --> 00:19:52.480
<v Speaker 2>anybody and maybe some young people who haven't got into

343
00:19:52.519 --> 00:19:56.400
<v Speaker 2>chemistry or biology at or anything like that. Your DNA

344
00:19:56.440 --> 00:20:01.200
<v Speaker 2>are basically strands inside of the cells, inside your bodily cells.

345
00:20:01.559 --> 00:20:04.839
<v Speaker 2>And these strands are like the code of how cells

346
00:20:05.480 --> 00:20:09.720
<v Speaker 2>replicate themselves. And your DNA is in every single one

347
00:20:09.759 --> 00:20:11.599
<v Speaker 2>of these little strands. And I think it's safe to

348
00:20:11.599 --> 00:20:13.960
<v Speaker 2>say there are billions of these strands throughout your body.

349
00:20:14.200 --> 00:20:16.079
<v Speaker 2>And again, if doctor Hart, if I'm saying anything that's

350
00:20:16.079 --> 00:20:18.720
<v Speaker 2>incorrect because I'm reaching back in my memory twenty years

351
00:20:18.720 --> 00:20:21.359
<v Speaker 2>to college and whatever else, if I say anything incorrect,

352
00:20:21.359 --> 00:20:23.880
<v Speaker 2>please jump in and correct me or add to it

353
00:20:23.920 --> 00:20:27.880
<v Speaker 2>if there's something else that's correct. Everybody's seeing these double

354
00:20:27.920 --> 00:20:30.640
<v Speaker 2>helix things look looks like a ladder that's twisted, and

355
00:20:30.680 --> 00:20:33.839
<v Speaker 2>then the rungs of the ladder are actually chemicals that

356
00:20:34.119 --> 00:20:36.440
<v Speaker 2>bond to one another. And when doctor Hart mentioned the

357
00:20:36.480 --> 00:20:40.160
<v Speaker 2>AGC and T, those are abbreviations for I forget. I

358
00:20:40.640 --> 00:20:42.880
<v Speaker 2>don't know what kind of stuff they are, but I'm

359
00:20:42.880 --> 00:20:46.039
<v Speaker 2>sure you do. But they're basically the code. And by

360
00:20:46.079 --> 00:20:51.359
<v Speaker 2>having billions of connections of these four different chemicals that

361
00:20:51.559 --> 00:20:54.440
<v Speaker 2>make the rungs of the twisty ladder. The helix in

362
00:20:54.480 --> 00:20:58.160
<v Speaker 2>other words, or the double helix that gives us a

363
00:20:58.440 --> 00:21:02.480
<v Speaker 2>unique code code that basically tells the cells how to

364
00:21:02.559 --> 00:21:05.880
<v Speaker 2>reproduce themselves exactly. And of course, every once in a

365
00:21:05.920 --> 00:21:09.759
<v Speaker 2>while everything mistakes are made and the mistakes are introduced,

366
00:21:10.079 --> 00:21:14.000
<v Speaker 2>and that's what we call well, that's basically some sort

367
00:21:14.000 --> 00:21:17.400
<v Speaker 2>of change in the in the in the pattern, and

368
00:21:17.440 --> 00:21:20.240
<v Speaker 2>that's how evolution happens because those changes become more prominent,

369
00:21:20.279 --> 00:21:25.279
<v Speaker 2>et cetera. This is literally the basis of all biology essentially,

370
00:21:25.359 --> 00:21:29.000
<v Speaker 2>is what we're talking about. So all biological sciences rely

371
00:21:29.200 --> 00:21:33.359
<v Speaker 2>on this information and evolution, including human evolution. Sorry folks,

372
00:21:33.359 --> 00:21:36.200
<v Speaker 2>but it's true. So if you like going to the doctor,

373
00:21:36.559 --> 00:21:40.440
<v Speaker 2>can you owe the doctor's knowledge and education to this

374
00:21:40.519 --> 00:21:42.920
<v Speaker 2>subject that we're talking about now. So, but at the

375
00:21:42.920 --> 00:21:46.039
<v Speaker 2>basis of it, all's chemistry. We're big bags of chemistry

376
00:21:46.079 --> 00:21:49.880
<v Speaker 2>that are doing stuff, and our chemistry replicates ours, replicates

377
00:21:49.880 --> 00:21:53.880
<v Speaker 2>itself through this DNA. The DNA is the code that

378
00:21:53.920 --> 00:21:55.799
<v Speaker 2>tells how to replicate itself.

379
00:21:56.240 --> 00:21:57.920
<v Speaker 3>Yes, that's very true.

380
00:21:58.359 --> 00:22:02.160
<v Speaker 1>It codes for protein and proteins are what make your

381
00:22:02.200 --> 00:22:06.880
<v Speaker 1>body work structural as in muscles and bones and things,

382
00:22:07.720 --> 00:22:11.279
<v Speaker 1>and then enzymatic which are the catalysts for all your

383
00:22:11.319 --> 00:22:17.640
<v Speaker 1>biochemical reactions. And just to pick up on what you said,

384
00:22:19.039 --> 00:22:22.559
<v Speaker 1>your description of it is called the central dogma of

385
00:22:22.880 --> 00:22:27.160
<v Speaker 1>modern biochemistry, and you're absolutely right.

386
00:22:27.519 --> 00:22:30.599
<v Speaker 3>Everything is traced back to that.

387
00:22:31.839 --> 00:22:36.160
<v Speaker 1>And speaking of chemistry and the relationship and my background

388
00:22:36.200 --> 00:22:40.279
<v Speaker 1>and so on. Actually, it's interesting that the two Nobel

389
00:22:40.400 --> 00:22:47.319
<v Speaker 1>Prize winners were a microbiologist and a physicist who applied

390
00:22:47.559 --> 00:22:52.240
<v Speaker 1>principles of organic chemistry, which I studied and did very well,

391
00:22:52.279 --> 00:22:59.279
<v Speaker 1>and to understand how these bases hydrogen bonded together and

392
00:22:59.359 --> 00:23:03.799
<v Speaker 1>how the structure wrapped around that. And so they're operating

393
00:23:03.880 --> 00:23:06.319
<v Speaker 1>in the field that was not their own, and they

394
00:23:06.400 --> 00:23:13.039
<v Speaker 1>got interestingly, the Nobel Prize in medicine and physiology, yet

395
00:23:13.079 --> 00:23:18.680
<v Speaker 1>another area. So this just shows you how modern science

396
00:23:18.839 --> 00:23:24.599
<v Speaker 1>is very interdisciplinary. And don't ever let anybody tell you,

397
00:23:25.319 --> 00:23:29.920
<v Speaker 1>as some have done on this in this controversy, that

398
00:23:30.400 --> 00:23:34.240
<v Speaker 1>you don't have the background to do this, because the

399
00:23:34.319 --> 00:23:37.359
<v Speaker 1>Nobel Prize winners on paper didn't either.

400
00:23:38.039 --> 00:23:41.160
<v Speaker 2>Yeah, I think it's fair to say that many of

401
00:23:41.359 --> 00:23:46.839
<v Speaker 2>science's greatest advances have come about because someone who didn't

402
00:23:46.839 --> 00:23:49.400
<v Speaker 2>study that particular field got their nose into it and

403
00:23:49.720 --> 00:23:52.720
<v Speaker 2>applied their own knowledge towards something else. And like, as

404
00:23:52.720 --> 00:23:55.200
<v Speaker 2>you said, one of the people who got the Nobel

405
00:23:55.200 --> 00:23:59.079
<v Speaker 2>Prize was a physicist dabbling in basically, you know, organic chemistry.

406
00:23:59.279 --> 00:24:01.759
<v Speaker 2>But he had certain knowledge and you wanted to apply

407
00:24:01.799 --> 00:24:04.160
<v Speaker 2>it to this subject. And I think Bigfoot is like

408
00:24:04.200 --> 00:24:06.759
<v Speaker 2>that too. There's so many different aspects of the subject.

409
00:24:06.960 --> 00:24:10.000
<v Speaker 2>And so you're a physical chemist who's now looking into

410
00:24:10.119 --> 00:24:13.920
<v Speaker 2>the DNA stuff with your own perspective and your own expertise,

411
00:24:14.079 --> 00:24:16.839
<v Speaker 2>and that kind of stuff should be welcomed. People of

412
00:24:17.039 --> 00:24:21.000
<v Speaker 2>all backgrounds and bodies of knowledge should be welcome to

413
00:24:21.079 --> 00:24:24.039
<v Speaker 2>look at anything, because you never know what new eyes

414
00:24:24.240 --> 00:24:25.880
<v Speaker 2>put on something are going to reveal.

415
00:24:26.319 --> 00:24:28.880
<v Speaker 3>Yes, I totally agree. I couldn't agree more.

416
00:24:31.200 --> 00:24:34.599
<v Speaker 4>Stay tuned for more Bigfoot and Beyond with Cliff and Bogo.

417
00:24:34.799 --> 00:24:36.559
<v Speaker 4>Will be right back after these messages.

418
00:24:42.680 --> 00:24:45.319
<v Speaker 2>Okay, Well, so you downloaded the paper, you paid your

419
00:24:45.359 --> 00:24:49.079
<v Speaker 2>thirty bucks, and you started reading through it. What were

420
00:24:49.119 --> 00:24:52.480
<v Speaker 2>your first thoughts on either the data or the procedures

421
00:24:52.559 --> 00:24:53.359
<v Speaker 2>or anything like that.

422
00:24:53.720 --> 00:24:57.559
<v Speaker 1>Well, a lot of the details were unknown to me.

423
00:24:57.880 --> 00:25:01.160
<v Speaker 1>I had to go look up for re and study

424
00:25:01.240 --> 00:25:06.440
<v Speaker 1>them by a couple of books and download some papers

425
00:25:06.480 --> 00:25:11.640
<v Speaker 1>from the internet and so on, because like I've said,

426
00:25:11.720 --> 00:25:15.640
<v Speaker 1>I'm not a biochemist, but I was able to understand

427
00:25:15.680 --> 00:25:22.200
<v Speaker 1>it after a while. It was to me at first

428
00:25:23.160 --> 00:25:30.599
<v Speaker 1>a very wonderful discovery, and I felt that this would

429
00:25:30.640 --> 00:25:34.480
<v Speaker 1>be a good opportunity for me to delve a little deeper,

430
00:25:35.200 --> 00:25:42.960
<v Speaker 1>to take the published sequences and in fact check the

431
00:25:43.000 --> 00:25:48.079
<v Speaker 1>results and the matches to the database, and that I

432
00:25:48.119 --> 00:25:53.119
<v Speaker 1>would learn a lot about the whole subject of DNA

433
00:25:53.160 --> 00:25:59.359
<v Speaker 1>by doing this, and also species identification, and so that's

434
00:25:59.440 --> 00:26:01.039
<v Speaker 1>what interests me and what.

435
00:26:01.319 --> 00:26:02.319
<v Speaker 3>Got me started.

436
00:26:02.400 --> 00:26:07.599
<v Speaker 1>And to be honest, and I've mentioned this before, at

437
00:26:07.640 --> 00:26:12.880
<v Speaker 1>first I thought she the paper was correct and its

438
00:26:12.920 --> 00:26:18.640
<v Speaker 1>identification a lot of things were like ninety five percent

439
00:26:19.079 --> 00:26:23.880
<v Speaker 1>matches and so on that to somebody just getting into

440
00:26:23.920 --> 00:26:28.759
<v Speaker 1>this particular database seemed like a good enough match. To me,

441
00:26:29.480 --> 00:26:33.319
<v Speaker 1>I later realized that that's not true. If you want

442
00:26:33.440 --> 00:26:38.559
<v Speaker 1>a species match, you really have to be above ninety

443
00:26:38.759 --> 00:26:44.039
<v Speaker 1>nine percent. In most cases, like all of the humans

444
00:26:44.119 --> 00:26:48.359
<v Speaker 1>in the world their DNA matches by ninety nine and

445
00:26:48.359 --> 00:26:51.720
<v Speaker 1>a half percent. All our differences are in a half

446
00:26:51.799 --> 00:26:53.359
<v Speaker 1>percent or so.

447
00:26:53.880 --> 00:26:56.759
<v Speaker 2>Something that you mentioned is because ninety five percent, you know,

448
00:26:56.839 --> 00:26:58.920
<v Speaker 2>for people who going to school and stuff. That's an

449
00:26:58.960 --> 00:27:01.519
<v Speaker 2>a that's a solid on whatever paper you get or

450
00:27:01.599 --> 00:27:03.759
<v Speaker 2>you know, DESI digg and it sounds good enough to

451
00:27:03.799 --> 00:27:06.119
<v Speaker 2>me too. But then again you have to take a

452
00:27:06.119 --> 00:27:09.599
<v Speaker 2>few steps back and and is this why that ninety

453
00:27:09.599 --> 00:27:11.920
<v Speaker 2>five percent is not good enough? I think is my question.

454
00:27:12.160 --> 00:27:13.920
<v Speaker 2>You have to take a few steps back and realize

455
00:27:13.960 --> 00:27:17.759
<v Speaker 2>that these these pairs, these matchings that were getting ninety

456
00:27:17.799 --> 00:27:21.839
<v Speaker 2>five percent matches on, aren't there billions of those? And

457
00:27:21.920 --> 00:27:24.319
<v Speaker 2>ninety five percent out of a billion is kind of

458
00:27:24.359 --> 00:27:25.960
<v Speaker 2>a big miss in a lot of ways.

459
00:27:26.400 --> 00:27:27.240
<v Speaker 3>Well, you're right.

460
00:27:27.400 --> 00:27:33.880
<v Speaker 1>The human nuclear genome is three point three billion based

461
00:27:33.960 --> 00:27:39.400
<v Speaker 1>pairs long. The mitochondrial genome that's in the mitochondria and

462
00:27:40.359 --> 00:27:42.240
<v Speaker 1>what you inherit from your mother.

463
00:27:42.160 --> 00:27:45.079
<v Speaker 3>Only is much smaller.

464
00:27:45.160 --> 00:27:50.559
<v Speaker 1>It's sixteen thousand, five hundred and sixty eight base pairs

465
00:27:50.920 --> 00:27:55.119
<v Speaker 1>only a lot shorter, so it's used a lot more

466
00:27:55.160 --> 00:27:56.599
<v Speaker 1>for identifications.

467
00:27:57.039 --> 00:28:00.440
<v Speaker 2>And that's what doctor Ketcham was doing, is that, well

468
00:28:00.519 --> 00:28:01.319
<v Speaker 2>she did both.

469
00:28:01.960 --> 00:28:06.440
<v Speaker 1>She did nuclear sequencing and mitochondrial sequencing.

470
00:28:07.440 --> 00:28:10.519
<v Speaker 3>But getting back to the ninety five percent.

471
00:28:12.160 --> 00:28:17.000
<v Speaker 1>There are genes that are called conserved because they don't

472
00:28:17.119 --> 00:28:24.279
<v Speaker 1>change much through evolution. They're working so well, that there's

473
00:28:24.400 --> 00:28:30.640
<v Speaker 1>no biological drive for them to change, because all mammals

474
00:28:30.720 --> 00:28:34.400
<v Speaker 1>have a lot of similarities. Okay, even though we look

475
00:28:34.480 --> 00:28:39.839
<v Speaker 1>and eat differently, and this and that, our breathing apparatus,

476
00:28:39.920 --> 00:28:42.799
<v Speaker 1>our heart, and a lot of this stuff doesn't change

477
00:28:42.799 --> 00:28:46.799
<v Speaker 1>that much. Maybe only the five percent change, you know,

478
00:28:46.759 --> 00:28:52.720
<v Speaker 1>also ninety five percent. I can show you sequences human

479
00:28:52.839 --> 00:28:58.240
<v Speaker 1>and there that match ninety five percent, and not the whole.

480
00:28:58.000 --> 00:28:59.960
<v Speaker 3>Genome, but certain regions of it.

481
00:29:00.799 --> 00:29:06.319
<v Speaker 1>And that's where I think the problems came in this paper,

482
00:29:07.039 --> 00:29:11.200
<v Speaker 1>not recognizing that fact and accepting.

483
00:29:10.759 --> 00:29:12.319
<v Speaker 3>Ninety five percent.

484
00:29:13.480 --> 00:29:16.440
<v Speaker 1>When it matched so many different things, and throwing up

485
00:29:16.480 --> 00:29:19.559
<v Speaker 1>your hands and saying, well, it must be a new

486
00:29:19.640 --> 00:29:23.480
<v Speaker 1>species because it doesn't match anything, but it matches everything

487
00:29:23.599 --> 00:29:24.599
<v Speaker 1>ninety five percent.

488
00:29:25.079 --> 00:29:26.960
<v Speaker 2>Okay, And I think you just brought up something really

489
00:29:27.000 --> 00:29:30.519
<v Speaker 2>important as well, is that we're talking about sequences of

490
00:29:30.799 --> 00:29:35.160
<v Speaker 2>DNA versus the entire genome. Maybe we can clarify that

491
00:29:35.200 --> 00:29:37.160
<v Speaker 2>for our readers, because ninety five percent of the entire

492
00:29:37.200 --> 00:29:39.519
<v Speaker 2>genome may be a different story. Because people have probably

493
00:29:39.599 --> 00:29:41.799
<v Speaker 2>heard I say to my presentations all the time that

494
00:29:41.880 --> 00:29:44.720
<v Speaker 2>you know, humans and chimpanzees are a ninety eight point

495
00:29:44.799 --> 00:29:48.759
<v Speaker 2>something percent identical in their DNA, so ninety five doesn't

496
00:29:48.759 --> 00:29:52.440
<v Speaker 2>seem that far off. We're sixty percent identical to earthworms

497
00:29:52.440 --> 00:29:54.480
<v Speaker 2>for an I understand. So when you talk about a

498
00:29:54.519 --> 00:29:57.799
<v Speaker 2>sequence of DNA, contrast that, for our audience, please with

499
00:29:57.880 --> 00:29:59.960
<v Speaker 2>the entire genome. What are we talking about here?

500
00:30:00.680 --> 00:30:06.880
<v Speaker 1>Very good question, because the paper in its title even

501
00:30:07.559 --> 00:30:14.119
<v Speaker 1>said it had sequenced three complete genomes, nuclear genomes, which

502
00:30:14.160 --> 00:30:17.160
<v Speaker 1>are as I said, would have been if we're human

503
00:30:17.279 --> 00:30:21.119
<v Speaker 1>or like human, about three point three billion base spaars.

504
00:30:21.279 --> 00:30:24.400
<v Speaker 3>Actually they didn't do that at all.

505
00:30:25.160 --> 00:30:32.680
<v Speaker 1>They used only chromosome eleven reference, which has one hundred

506
00:30:32.720 --> 00:30:38.039
<v Speaker 1>and thirty five million bay spaars, and of that the

507
00:30:38.119 --> 00:30:43.920
<v Speaker 1>sequences they got were much smaller still, two point seven million,

508
00:30:44.759 --> 00:30:51.640
<v Speaker 1>point five million and two point one million, respectively base pairs,

509
00:30:52.880 --> 00:30:56.759
<v Speaker 1>nowhere near the three point three billion and not even

510
00:30:57.759 --> 00:31:03.599
<v Speaker 1>near the whole chroma so eleven. So right away there's

511
00:31:03.640 --> 00:31:09.680
<v Speaker 1>there's a bit of an offset, and this is where

512
00:31:09.720 --> 00:31:14.240
<v Speaker 1>the problem came. They used a human reference, so all

513
00:31:14.400 --> 00:31:18.480
<v Speaker 1>the sequences they got were what I just mentioned, were

514
00:31:18.559 --> 00:31:23.799
<v Speaker 1>conserved genes that didn't differ that much between a bear

515
00:31:23.960 --> 00:31:27.599
<v Speaker 1>and a monkey and a human and an ape. And

516
00:31:28.160 --> 00:31:32.680
<v Speaker 1>so it's a it's a preconceived notion there that led

517
00:31:32.720 --> 00:31:33.599
<v Speaker 1>to the problems.

518
00:31:34.000 --> 00:31:36.319
<v Speaker 2>Now, when you say a human reference, what what is

519
00:31:36.359 --> 00:31:39.200
<v Speaker 2>that are there? They're comparing their their their strands to

520
00:31:39.359 --> 00:31:41.640
<v Speaker 2>a human and looking for similarities.

521
00:31:42.240 --> 00:31:46.680
<v Speaker 1>Yes, when when you do this uh sequencing of these

522
00:31:46.880 --> 00:31:53.240
<v Speaker 1>large genomes, you essentially break up the DNA into small

523
00:31:53.400 --> 00:31:56.880
<v Speaker 1>sentiments and somatically and then.

524
00:31:58.559 --> 00:32:01.119
<v Speaker 3>You won approach.

525
00:32:02.000 --> 00:32:07.079
<v Speaker 1>Is to take those small sequences and if you're pretty

526
00:32:07.119 --> 00:32:10.880
<v Speaker 1>sure of what you have or that it's close to something,

527
00:32:11.480 --> 00:32:14.279
<v Speaker 1>you use a complete reference sequence.

528
00:32:14.599 --> 00:32:18.759
<v Speaker 3>And human DNA is known all three point three.

529
00:32:18.599 --> 00:32:23.440
<v Speaker 1>Billion base and you match these little segments to various

530
00:32:23.559 --> 00:32:30.359
<v Speaker 1>regions of this reference and that allows you to then

531
00:32:31.119 --> 00:32:36.960
<v Speaker 1>put them back together and come up with a larger sequence, sometimes.

532
00:32:36.519 --> 00:32:38.279
<v Speaker 3>A whole genome, sometimes not.

533
00:32:39.319 --> 00:32:44.359
<v Speaker 1>And so it's a quick way to match these segments up,

534
00:32:45.000 --> 00:32:49.559
<v Speaker 1>and since they overlap, you can get a longer segment

535
00:32:49.640 --> 00:32:55.240
<v Speaker 1>from smaller ones. Now, this is only appropriate if you

536
00:32:55.440 --> 00:33:01.839
<v Speaker 1>know what you're dealing with, or at least what genus

537
00:33:01.960 --> 00:33:07.240
<v Speaker 1>or family of animals. Otherwise, the sequence if it's far,

538
00:33:07.680 --> 00:33:12.920
<v Speaker 1>if the reference is far from your actual unknown sequence,

539
00:33:13.559 --> 00:33:16.799
<v Speaker 1>the only things that are going to match are going

540
00:33:16.880 --> 00:33:21.240
<v Speaker 1>to be these conserved genes or fragments of genes that

541
00:33:21.359 --> 00:33:25.279
<v Speaker 1>haven't changed very much, and you won't get a complete

542
00:33:25.400 --> 00:33:28.799
<v Speaker 1>genome like they didn't because the bear doesn't match the

543
00:33:28.920 --> 00:33:29.960
<v Speaker 1>human very well.

544
00:33:30.319 --> 00:33:32.519
<v Speaker 2>So it sounds like they started off with an assumption

545
00:33:32.839 --> 00:33:36.359
<v Speaker 2>that if these are sasquatched, you know, samples, then we

546
00:33:36.400 --> 00:33:38.559
<v Speaker 2>should be able to compare to them a human because

547
00:33:38.599 --> 00:33:41.920
<v Speaker 2>humans are also primates, which seems like a logical assumption,

548
00:33:42.240 --> 00:33:44.359
<v Speaker 2>but it sounds like maybe what happened is almost like

549
00:33:44.440 --> 00:33:49.279
<v Speaker 2>comparing like maybe a human to a tree. Obviously, humans

550
00:33:49.279 --> 00:33:51.880
<v Speaker 2>and trees, you know, our last common ancestor is a

551
00:33:51.880 --> 00:33:54.960
<v Speaker 2>long time ago, not really good comparison, but when you

552
00:33:54.960 --> 00:33:57.000
<v Speaker 2>look at a human, we kind of have a trunk

553
00:33:57.039 --> 00:33:59.279
<v Speaker 2>and we kind of have branches, and we can see

554
00:33:59.279 --> 00:34:02.240
<v Speaker 2>the similarity is owing in hair because of the leaves.

555
00:34:02.640 --> 00:34:05.160
<v Speaker 2>We can kind of see the similarities between humans and

556
00:34:05.200 --> 00:34:08.519
<v Speaker 2>trees structurally. And so they were looking for something and

557
00:34:08.559 --> 00:34:10.920
<v Speaker 2>they found it, even though if it wasn't there is

558
00:34:10.920 --> 00:34:12.079
<v Speaker 2>that was kind of similar.

559
00:34:12.639 --> 00:34:17.880
<v Speaker 1>They found fragments of it, these conserved genes, but they

560
00:34:17.920 --> 00:34:20.159
<v Speaker 1>got so little of.

561
00:34:20.000 --> 00:34:23.719
<v Speaker 3>The total genome, you know, two point.

562
00:34:23.360 --> 00:34:27.599
<v Speaker 1>Seven at most million out of you know, one less

563
00:34:27.599 --> 00:34:30.760
<v Speaker 1>than one tenth of a percent of the whole genome.

564
00:34:31.000 --> 00:34:34.880
<v Speaker 1>For even the largest of their three sequences, two point

565
00:34:34.920 --> 00:34:38.360
<v Speaker 1>seven million out of three point three billion is less

566
00:34:38.360 --> 00:34:40.639
<v Speaker 1>than a tenth of a percent. It's less than one

567
00:34:40.719 --> 00:34:46.000
<v Speaker 1>one thousandth So yes, it's a preconceived notion. And when

568
00:34:46.039 --> 00:34:50.119
<v Speaker 1>you have an unknown species and you want to just

569
00:34:50.280 --> 00:34:55.079
<v Speaker 1>open the book to anything, there's another technique called dnovo,

570
00:34:55.159 --> 00:35:00.519
<v Speaker 1>which doesn't use a reference, but looks at all theseents

571
00:35:01.360 --> 00:35:06.199
<v Speaker 1>in the computer, of course, and looks at where they overlap.

572
00:35:06.519 --> 00:35:10.159
<v Speaker 1>You know, where several bases are the same at the

573
00:35:10.360 --> 00:35:11.920
<v Speaker 1>end points of two.

574
00:35:11.760 --> 00:35:15.079
<v Speaker 3>Of the small sequences.

575
00:35:14.760 --> 00:35:18.280
<v Speaker 1>And then you link those two together based on their

576
00:35:18.360 --> 00:35:23.760
<v Speaker 1>common several bases at the tips, and then that forms

577
00:35:23.800 --> 00:35:26.480
<v Speaker 1>a bigger sequence and then you can link it up

578
00:35:26.960 --> 00:35:30.519
<v Speaker 1>on its ends with some more of the fragments. So

579
00:35:30.679 --> 00:35:36.679
<v Speaker 1>dnovo means just a priori and without any assumptions, and

580
00:35:36.719 --> 00:35:39.880
<v Speaker 1>that's what should have been done, and then their results

581
00:35:40.440 --> 00:35:44.440
<v Speaker 1>would have been much clearer as to the species involved.

582
00:35:44.920 --> 00:35:48.480
<v Speaker 2>So you would and you actually took doctor Ketchum's data

583
00:35:48.679 --> 00:35:52.719
<v Speaker 2>itself and you ran that through the system again, Is

584
00:35:52.719 --> 00:35:55.159
<v Speaker 2>that is that what you did for the next step.

585
00:35:55.239 --> 00:35:59.119
<v Speaker 1>Yes, I took I would call it her results that

586
00:35:59.280 --> 00:36:04.840
<v Speaker 1>is her sequences and I and you know, there was

587
00:36:04.920 --> 00:36:11.159
<v Speaker 1>no way to question those in terms of their accuracy.

588
00:36:11.280 --> 00:36:15.079
<v Speaker 1>You can question how they were obtained, but actually I

589
00:36:15.639 --> 00:36:18.079
<v Speaker 1>just assumed that the sequencing for.

590
00:36:18.119 --> 00:36:20.880
<v Speaker 3>What it was was correct limited.

591
00:36:21.480 --> 00:36:28.360
<v Speaker 1>And then I searched the National Center for Biotechnology Information's databases,

592
00:36:28.440 --> 00:36:31.840
<v Speaker 1>and you have to search more than one there, and

593
00:36:31.880 --> 00:36:35.880
<v Speaker 1>I came up with these matches which were for one

594
00:36:35.920 --> 00:36:39.239
<v Speaker 1>of the sequences was a black bear, another was human

595
00:36:40.199 --> 00:36:43.559
<v Speaker 1>and so close to human you really couldn't tell, now

596
00:36:44.199 --> 00:36:47.960
<v Speaker 1>sasquatches that close to human, well, that could be one.

597
00:36:48.039 --> 00:36:51.639
<v Speaker 3>And then the third one matched a match dogs very

598
00:36:51.719 --> 00:36:52.239
<v Speaker 3>very well.

599
00:36:53.119 --> 00:36:55.880
<v Speaker 1>And that's the one that came from the down spout

600
00:36:55.920 --> 00:36:56.920
<v Speaker 1>with the bite marks.

601
00:36:57.039 --> 00:37:00.960
<v Speaker 3>And you know primates used the bite in the metal,

602
00:37:01.079 --> 00:37:03.480
<v Speaker 3>dogs bite everything, so that.

603
00:37:03.480 --> 00:37:06.840
<v Speaker 1>Kind of matches. You know, that's not proof, but it's

604
00:37:06.880 --> 00:37:11.559
<v Speaker 1>it's consistent, let's say. So that's that's what I did.

605
00:37:11.599 --> 00:37:16.719
<v Speaker 1>And then I took chro mitochondrial results, which you know

606
00:37:16.800 --> 00:37:21.079
<v Speaker 1>you're in your minded chondria and your cell are these

607
00:37:21.360 --> 00:37:26.280
<v Speaker 1>other sequences which are circular and fifteen.

608
00:37:26.360 --> 00:37:29.800
<v Speaker 3>Six sixteen thousand viral on sixty eight.

609
00:37:29.679 --> 00:37:33.280
<v Speaker 1>Bases plus her mind is a couple and those are

610
00:37:33.320 --> 00:37:35.039
<v Speaker 1>inherited from your mother because the.

611
00:37:36.559 --> 00:37:39.800
<v Speaker 3>Egg has mitochondria but the sperm does not.

612
00:37:40.800 --> 00:37:45.519
<v Speaker 1>And they're a very good way to identify species and

613
00:37:45.639 --> 00:37:50.599
<v Speaker 1>you don't need to sequence that whole sixteen thousand, just

614
00:37:50.679 --> 00:37:56.079
<v Speaker 1>small segments are characteristic of various species. And she did this,

615
00:37:56.440 --> 00:38:00.400
<v Speaker 1>and of course she sent it to a have that

616
00:38:00.480 --> 00:38:06.320
<v Speaker 1>only deals in human things. Family Tree DNA is one

617
00:38:06.360 --> 00:38:13.639
<v Speaker 1>of these genetic ancestral type sequencing labs, and they do

618
00:38:13.679 --> 00:38:16.840
<v Speaker 1>a good job on humans. They did mine, I did

619
00:38:16.920 --> 00:38:19.679
<v Speaker 1>my wife's. We you know, I use those as kind

620
00:38:19.719 --> 00:38:26.960
<v Speaker 1>of references. And the problem there is their methodology. Their

621
00:38:27.119 --> 00:38:30.880
<v Speaker 1>sequencing technique is designed for humans only.

622
00:38:31.719 --> 00:38:35.199
<v Speaker 3>And I prove that because I sent them some horseesome.

623
00:38:35.599 --> 00:38:39.840
<v Speaker 1>Cat, and dog DNA and they didn't sequence at all,

624
00:38:39.920 --> 00:38:43.320
<v Speaker 1>it didn't amplify, which proves that, you know, it's not

625
00:38:43.400 --> 00:38:47.119
<v Speaker 1>a general technique. It's only for humans. And what they

626
00:38:47.199 --> 00:38:53.280
<v Speaker 1>got could easily be attributed to human contamination, or at

627
00:38:53.320 --> 00:38:58.199
<v Speaker 1>least you couldn't exclude that because only a human technique

628
00:38:58.360 --> 00:39:02.840
<v Speaker 1>was used, and you could have, you know, a bulk

629
00:39:02.960 --> 00:39:07.119
<v Speaker 1>of their DNA and just a little bit of human DNA.

630
00:39:07.280 --> 00:39:11.679
<v Speaker 1>This method is so sensitive that if it's specific for.

631
00:39:11.639 --> 00:39:14.280
<v Speaker 3>A human it's going to pick that human d A

632
00:39:14.480 --> 00:39:15.320
<v Speaker 3>and sequence it.

633
00:39:15.719 --> 00:39:18.480
<v Speaker 2>Now, what if we had a close relative to a human,

634
00:39:18.639 --> 00:39:21.800
<v Speaker 2>like maybe I'm an advocate, for example, of the paranthropists

635
00:39:21.880 --> 00:39:26.320
<v Speaker 2>hypothesis as sasquatches are probably paranthroposines or might be paranthropasines.

636
00:39:26.320 --> 00:39:30.280
<v Speaker 2>I should say, would would the human I'm going to

637
00:39:30.320 --> 00:39:32.360
<v Speaker 2>say primers? Is that the right word? Would the human?

638
00:39:32.519 --> 00:39:37.960
<v Speaker 2>Would the human primers amplify DNA from a paranthropis scene

639
00:39:37.960 --> 00:39:40.639
<v Speaker 2>I know there's no way to test that, but or

640
00:39:40.679 --> 00:39:43.880
<v Speaker 2>from a chimpanzee for a bonobo for example, would what

641
00:39:43.880 --> 00:39:46.199
<v Speaker 2>would be effect? What would the effect of a human

642
00:39:46.239 --> 00:39:48.199
<v Speaker 2>primer on a bonobo sequence be?

643
00:39:48.639 --> 00:39:53.920
<v Speaker 1>If the primers were chosen appropriately, they could also sequence

644
00:39:54.119 --> 00:40:00.320
<v Speaker 1>our amplify and sequence apes and possibly you know, if

645
00:40:00.360 --> 00:40:03.920
<v Speaker 1>you had it some more ancient humans.

646
00:40:03.679 --> 00:40:07.800
<v Speaker 3>It might depend on what region you prime.

647
00:40:08.760 --> 00:40:13.440
<v Speaker 1>But because apes, for example, are so close to human genetically,

648
00:40:14.639 --> 00:40:19.280
<v Speaker 1>you would probably with those human primers you'd probably get amplification.

649
00:40:19.840 --> 00:40:22.119
<v Speaker 1>You'd have to do an experiment, you know, with some

650
00:40:22.440 --> 00:40:26.519
<v Speaker 1>ap DNA and the human primers, and that would answer

651
00:40:26.519 --> 00:40:29.639
<v Speaker 1>the question. You know, it's a good question, by the

652
00:40:29.639 --> 00:40:33.480
<v Speaker 1>way that I don't know anybody's done anything about I

653
00:40:33.519 --> 00:40:34.159
<v Speaker 1>could look at it.

654
00:40:34.760 --> 00:40:37.440
<v Speaker 2>Yeah, but again, I think maybe this is an example.

655
00:40:37.440 --> 00:40:40.159
<v Speaker 2>It's like, you know, Cliff with a degree in music,

656
00:40:41.280 --> 00:40:45.719
<v Speaker 2>offering questions to someone with a deep level expertise, new

657
00:40:45.760 --> 00:40:48.039
<v Speaker 2>eyes on the same subject often yield you results. And

658
00:40:48.079 --> 00:40:50.199
<v Speaker 2>I think that's we're talking about that a little bit earlier.

659
00:40:50.559 --> 00:40:54.400
<v Speaker 1>Certainly raise good questions as you do. I didn't know

660
00:40:54.440 --> 00:40:55.800
<v Speaker 1>your degree was in music.

661
00:40:56.480 --> 00:40:57.840
<v Speaker 2>Yeah, I played jazz guitar.

662
00:40:58.320 --> 00:41:04.039
<v Speaker 3>Oh that's right now, remember. Yeah, So it's all in

663
00:41:04.079 --> 00:41:07.440
<v Speaker 3>the primers. And when.

664
00:41:08.960 --> 00:41:17.880
<v Speaker 1>Bart Katino and independently Tyler Huggins sent what were reported

665
00:41:17.960 --> 00:41:21.840
<v Speaker 1>to be part of the same sample that Melbo Ketchum

666
00:41:22.880 --> 00:41:27.039
<v Speaker 1>got number twenty six, when they sent them to independent

667
00:41:27.159 --> 00:41:32.480
<v Speaker 1>labs and their primers were used, they got bear DNA

668
00:41:32.639 --> 00:41:36.679
<v Speaker 1>sequences and they got a little bit of human too

669
00:41:36.840 --> 00:41:40.400
<v Speaker 1>when they used human primers, but there was much less

670
00:41:40.519 --> 00:41:43.559
<v Speaker 1>of the human DNA than there was the bear DNA.

671
00:41:44.599 --> 00:41:47.000
<v Speaker 1>So that kind of proves the case that the human

672
00:41:47.159 --> 00:41:51.039
<v Speaker 1>was the contaminant and the bear was the bulk and

673
00:41:51.159 --> 00:41:52.360
<v Speaker 1>not the opposite.

674
00:41:52.760 --> 00:41:54.559
<v Speaker 2>Yeah, that sure sounds like it. And you know, one

675
00:41:54.559 --> 00:41:57.599
<v Speaker 2>of the astounding things that I took away from your

676
00:41:57.639 --> 00:42:01.679
<v Speaker 2>book is that apparently the correct me if I'm wrong again,

677
00:42:01.719 --> 00:42:06.159
<v Speaker 2>please But when she ran the results, black Bear was

678
00:42:06.199 --> 00:42:09.280
<v Speaker 2>not part of the database at all. Is that correct?

679
00:42:10.360 --> 00:42:15.639
<v Speaker 1>It was, but there were far fewer sequences in there

680
00:42:17.039 --> 00:42:21.360
<v Speaker 1>than any of the other major bears. For example, polar

681
00:42:21.400 --> 00:42:25.400
<v Speaker 1>bear and Panda have been studied more because they are threatened,

682
00:42:26.480 --> 00:42:31.159
<v Speaker 1>and so the black bear data was limited, and the

683
00:42:31.320 --> 00:42:34.719
<v Speaker 1>largest sequence that I found that match was only two

684
00:42:34.840 --> 00:42:39.880
<v Speaker 1>hundred and ninety base pairs, and being a little bit

685
00:42:39.960 --> 00:42:43.000
<v Speaker 1>new in this, I thought that that was not enough

686
00:42:43.079 --> 00:42:46.440
<v Speaker 1>to prove anything that Even though this two hundred and

687
00:42:46.519 --> 00:42:50.199
<v Speaker 1>ninety matched, I thought it was probably a conserved region

688
00:42:51.079 --> 00:42:54.639
<v Speaker 1>and I missed the boat there, of carse, so did she.

689
00:42:55.079 --> 00:43:00.599
<v Speaker 1>Until I started looking later at other databases and data

690
00:43:00.639 --> 00:43:06.920
<v Speaker 1>from outside sources, was I able to show much better

691
00:43:07.000 --> 00:43:08.119
<v Speaker 1>match to black Bear.

692
00:43:08.800 --> 00:43:14.159
<v Speaker 3>So essentially there was one database in that.

693
00:43:15.519 --> 00:43:19.719
<v Speaker 1>Collection at the National Center that had she looked, she

694
00:43:19.760 --> 00:43:21.119
<v Speaker 1>would have found the black bear.

695
00:43:21.599 --> 00:43:25.920
<v Speaker 3>But I didn't find that database and explored until later

696
00:43:26.000 --> 00:43:26.559
<v Speaker 3>as well.

697
00:43:28.039 --> 00:43:31.519
<v Speaker 1>You know, it's not the most common of their databases

698
00:43:31.559 --> 00:43:35.760
<v Speaker 1>that are searched. Now however, there's more black bear data,

699
00:43:35.880 --> 00:43:39.800
<v Speaker 1>and in fact, one of the databases has the complete

700
00:43:40.039 --> 00:43:43.719
<v Speaker 1>black bear genome, and I addressed this in one of

701
00:43:43.719 --> 00:43:47.239
<v Speaker 1>the chapters in my book where I searched that, and boy,

702
00:43:47.320 --> 00:43:52.440
<v Speaker 1>you get excellent. A lot of the subsequences match one

703
00:43:52.519 --> 00:43:56.000
<v Speaker 1>hundred percent. The reason they all don't are just the

704
00:43:56.039 --> 00:44:00.679
<v Speaker 1>same as the reason all humans don't match exactly one another,

705
00:44:01.280 --> 00:44:04.079
<v Speaker 1>because we have mutations from one another and so the

706
00:44:04.159 --> 00:44:08.360
<v Speaker 1>Black Bears. So you know, getting over ninety nine point

707
00:44:08.400 --> 00:44:11.119
<v Speaker 1>five percent is really quite good.

708
00:44:11.920 --> 00:44:13.920
<v Speaker 3>And I got a lot of hundreds. I got a

709
00:44:13.960 --> 00:44:15.920
<v Speaker 3>lot of ninety nine point nines.

710
00:44:15.719 --> 00:44:19.079
<v Speaker 1>And you know, so that that was really the I

711
00:44:19.199 --> 00:44:21.639
<v Speaker 1>was so thrilled when they finally came out with that

712
00:44:22.719 --> 00:44:27.679
<v Speaker 1>entire nuclear genome, which was not available to Melow to

713
00:44:27.760 --> 00:44:30.920
<v Speaker 1>catch them, but there were other sources that you could

714
00:44:30.960 --> 00:44:31.559
<v Speaker 1>have searched.

715
00:44:32.039 --> 00:44:36.000
<v Speaker 2>So the longer the sequence, as well as in combination

716
00:44:36.239 --> 00:44:42.159
<v Speaker 2>with the number of I guess samples, I guess all,

717
00:44:42.280 --> 00:44:46.920
<v Speaker 2>that helps really solidify and zoom in on the actual

718
00:44:47.719 --> 00:44:49.239
<v Speaker 2>creature that we're doing the testing on.

719
00:44:50.000 --> 00:44:51.960
<v Speaker 3>Actually, yes, you're very right.

720
00:44:52.119 --> 00:44:56.599
<v Speaker 1>The longer the sequence that you match, the more likely

721
00:44:56.719 --> 00:44:57.920
<v Speaker 1>you are to have.

722
00:44:59.480 --> 00:45:03.119
<v Speaker 3>A correct match and that you can draw a conclusion.

723
00:45:03.639 --> 00:45:07.199
<v Speaker 1>And this is something I'm sorry to say, how being

724
00:45:07.239 --> 00:45:10.199
<v Speaker 1>a newcomer and stuff to some of this a lot

725
00:45:10.239 --> 00:45:13.000
<v Speaker 1>of the current geneticists.

726
00:45:13.159 --> 00:45:14.840
<v Speaker 3>They all want to break up.

727
00:45:14.719 --> 00:45:19.559
<v Speaker 1>A sequence into little sixty base pair nuggets sixty to

728
00:45:19.639 --> 00:45:22.880
<v Speaker 1>one hundred, and then they search those and they try

729
00:45:22.920 --> 00:45:28.280
<v Speaker 1>to put it all back together. And it's really I

730
00:45:28.320 --> 00:45:35.280
<v Speaker 1>can match a human sixty base pair sequence to almost

731
00:45:35.320 --> 00:45:40.159
<v Speaker 1>any mammal you choose, because it's if I pick a

732
00:45:40.199 --> 00:45:44.840
<v Speaker 1>conserved gene, they're going to be the same. People were

733
00:45:44.840 --> 00:45:51.039
<v Speaker 1>making comments, these are geneticists that mails catch them. Sequences

734
00:45:51.079 --> 00:45:55.280
<v Speaker 1>matched a pig apossum all kinds of stuff, Well, a

735
00:45:55.400 --> 00:46:00.599
<v Speaker 1>short segment of it could, but not the whole length

736
00:46:00.679 --> 00:46:05.400
<v Speaker 1>of what even her whole sequence two point seven million

737
00:46:06.039 --> 00:46:09.199
<v Speaker 1>based pairs, or even a large fracture. Most of the

738
00:46:09.280 --> 00:46:14.000
<v Speaker 1>sequences that I got matches for were the best ones

739
00:46:14.039 --> 00:46:17.679
<v Speaker 1>were in the thousands of base pairs over a thousand,

740
00:46:19.000 --> 00:46:21.039
<v Speaker 1>and that's very convincing.

741
00:46:23.280 --> 00:46:26.320
<v Speaker 4>Stay tuned for more Bigfoot and Beyond with Cliff and

742
00:46:26.320 --> 00:46:35.280
<v Speaker 4>Bogo will be right back after these messages. Now, I

743
00:46:35.280 --> 00:46:38.079
<v Speaker 4>thought that it was very charitable in your book because

744
00:46:38.360 --> 00:46:41.320
<v Speaker 4>people on the outside are the people who are strong

745
00:46:41.480 --> 00:46:43.480
<v Speaker 4>advocates of the Ketchum study.

746
00:46:44.000 --> 00:46:46.360
<v Speaker 2>They'll see this as a takedown, and I don't see

747
00:46:46.360 --> 00:46:47.840
<v Speaker 2>it as that at all. I see this as a

748
00:46:47.880 --> 00:46:50.800
<v Speaker 2>peer review, a necessary step in the scientific process, and

749
00:46:50.880 --> 00:46:53.960
<v Speaker 2>if we are advocating for the introduction of science into

750
00:46:54.000 --> 00:46:57.159
<v Speaker 2>the Bigfoot subject, this is it. This is the growing pains.

751
00:46:57.199 --> 00:46:59.599
<v Speaker 2>You know, sometimes you're going to be wrong, and that's

752
00:46:59.639 --> 00:47:02.599
<v Speaker 2>just part of game. And I think it's a femem quote.

753
00:47:02.599 --> 00:47:04.559
<v Speaker 2>It says, if you're doing science, you're not being wrong,

754
00:47:04.599 --> 00:47:06.280
<v Speaker 2>you're not doing it right. And I think this is

755
00:47:06.320 --> 00:47:10.559
<v Speaker 2>an important thing. But I think it's very charitable of you.

756
00:47:11.480 --> 00:47:13.480
<v Speaker 2>In the middle of this book, you said she may

757
00:47:13.679 --> 00:47:18.119
<v Speaker 2>very well have sasquatch samples, but these particular ones that

758
00:47:18.159 --> 00:47:22.480
<v Speaker 2>I'm speaking to are not sasquatch. What do you think

759
00:47:22.679 --> 00:47:26.199
<v Speaker 2>that the chances of that are and what steps might

760
00:47:26.280 --> 00:47:29.360
<v Speaker 2>be taken to verify that or explore that possibility.

761
00:47:30.039 --> 00:47:31.599
<v Speaker 3>Well, that's a good question too.

762
00:47:33.000 --> 00:47:36.320
<v Speaker 1>One of the chapters that I think you're probably referring to,

763
00:47:37.239 --> 00:47:43.559
<v Speaker 1>I found some very unusual mutations in several of her

764
00:47:44.239 --> 00:47:49.519
<v Speaker 1>mitochondrial sequences. These are the ones that are sixteen thousand

765
00:47:49.599 --> 00:47:57.199
<v Speaker 1>plus base bears very unusual, and in combination, the database

766
00:47:57.320 --> 00:48:00.199
<v Speaker 1>have no humans that had even two of them. These

767
00:48:01.280 --> 00:48:06.480
<v Speaker 1>the three major ones, and certainly none had all three

768
00:48:06.519 --> 00:48:14.440
<v Speaker 1>of them. However, I also searched the other primates by family,

769
00:48:15.639 --> 00:48:20.280
<v Speaker 1>and I found that these mutations were much more common

770
00:48:20.559 --> 00:48:25.440
<v Speaker 1>in other primates. Not so much in chimps or gorillas,

771
00:48:27.239 --> 00:48:32.440
<v Speaker 1>but in other primates, the monkeys, the lorises, all the others.

772
00:48:32.960 --> 00:48:36.039
<v Speaker 2>Did you test to ringetans many chance, Yes, I.

773
00:48:35.920 --> 00:48:42.079
<v Speaker 1>Did, and the sequences didn't They were better. There were

774
00:48:42.159 --> 00:48:47.199
<v Speaker 1>more of them in orangutangs than humans, but still not

775
00:48:47.400 --> 00:48:54.920
<v Speaker 1>very many, so not very good matches over a number

776
00:48:54.920 --> 00:48:56.079
<v Speaker 1>of samples.

777
00:48:56.079 --> 00:49:00.599
<v Speaker 3>So there's a possible HYPOTHETI.

778
00:49:00.199 --> 00:49:09.719
<v Speaker 1>Is there that maybe Bigfoot has some latent primate.

779
00:49:10.880 --> 00:49:14.480
<v Speaker 3>Sequences and it's mitochondrial.

780
00:49:13.840 --> 00:49:16.719
<v Speaker 2>DNA, because that's that's something that I don't think of

781
00:49:16.719 --> 00:49:19.480
<v Speaker 2>bigfooter is explore because I said just five minutes ago

782
00:49:19.480 --> 00:49:22.119
<v Speaker 2>that I'm an advocate of the paranthropist theory of sasquatch,

783
00:49:22.519 --> 00:49:25.320
<v Speaker 2>And of course everybody knows about gigantic Gigantipithecus and all

784
00:49:25.320 --> 00:49:27.599
<v Speaker 2>that jazz. But something that I don't think is given

785
00:49:27.719 --> 00:49:30.039
<v Speaker 2>enough press so to speak, or you know, or enough

786
00:49:30.320 --> 00:49:35.079
<v Speaker 2>talk or enough attention, is that sasquatches maybe something completely novel,

787
00:49:35.199 --> 00:49:39.079
<v Speaker 2>completely new in some ways, and however unlikely that is,

788
00:49:39.239 --> 00:49:41.800
<v Speaker 2>and I'm not saying like a new family or something

789
00:49:41.880 --> 00:49:45.400
<v Speaker 2>like that. But I'm saying, is what if some sort

790
00:49:45.400 --> 00:49:48.280
<v Speaker 2>of you know, monkey and I don't know. I mean,

791
00:49:48.719 --> 00:49:53.519
<v Speaker 2>there's other possibilities, however unlikely they are. There's other possibilities

792
00:49:53.519 --> 00:49:57.000
<v Speaker 2>than the apor human sort of thing. I think is

793
00:49:57.039 --> 00:50:02.480
<v Speaker 2>extraordinarily unlikely. Actually, but it's p and maybe this isn't.

794
00:50:02.840 --> 00:50:04.920
<v Speaker 2>I mean, I'm not saying this is supporting that idea

795
00:50:04.920 --> 00:50:08.760
<v Speaker 2>at all, but results like this right when I found

796
00:50:08.760 --> 00:50:11.719
<v Speaker 2>these mutations and are more common in monkeys and apes,

797
00:50:12.320 --> 00:50:14.079
<v Speaker 2>that at least opens the door to that maybe we're

798
00:50:14.079 --> 00:50:17.519
<v Speaker 2>looking at something completely unexpected, and I think that's an

799
00:50:17.519 --> 00:50:20.400
<v Speaker 2>interesting and exciting possibility. I don't think that the data

800
00:50:20.440 --> 00:50:22.599
<v Speaker 2>supports it at this point, but it's at least something

801
00:50:22.639 --> 00:50:24.119
<v Speaker 2>to kind of kick around to see if any data

802
00:50:24.199 --> 00:50:25.199
<v Speaker 2>might result that.

803
00:50:26.079 --> 00:50:27.920
<v Speaker 3>Yeah, I agree, it's uh.

804
00:50:28.079 --> 00:50:31.920
<v Speaker 1>There needs to be a lot more data collected and

805
00:50:32.079 --> 00:50:36.760
<v Speaker 1>results and interpretations of that before we could draw any

806
00:50:36.840 --> 00:50:39.639
<v Speaker 1>kind of conclusion. But I find it very interesting that

807
00:50:41.360 --> 00:50:46.239
<v Speaker 1>of the samples that shared these unusual mutations, they were

808
00:50:46.280 --> 00:50:47.880
<v Speaker 1>from different areas.

809
00:50:48.000 --> 00:50:49.519
<v Speaker 3>One was from New.

810
00:50:49.360 --> 00:50:54.760
<v Speaker 1>Mexico, a couple of them are from California, And I

811
00:50:54.800 --> 00:50:58.079
<v Speaker 1>think I think there was one from British Columbia too,

812
00:50:58.199 --> 00:51:05.280
<v Speaker 1>So it just you know, it's unlikely that these were

813
00:51:05.320 --> 00:51:10.599
<v Speaker 1>all sequencing errors, all the same base position positions.

814
00:51:11.760 --> 00:51:12.960
<v Speaker 3>There's something there.

815
00:51:13.119 --> 00:51:16.280
<v Speaker 1>These samples are related, even though they come from different

816
00:51:16.480 --> 00:51:25.960
<v Speaker 1>areas of North America, and so much more data needs

817
00:51:26.000 --> 00:51:30.559
<v Speaker 1>to be collected, But it just seemed like an interesting possibility.

818
00:51:30.800 --> 00:51:32.239
<v Speaker 3>That's all, a possibility.

819
00:51:32.360 --> 00:51:36.480
<v Speaker 2>Like you say, do you think there's any avenues of

820
00:51:36.519 --> 00:51:42.320
<v Speaker 2>exploring these three mutations that might yield some results we

821
00:51:42.360 --> 00:51:44.360
<v Speaker 2>can work with somehow well?

822
00:51:44.960 --> 00:51:49.960
<v Speaker 1>I think if people collect what they think, you know,

823
00:51:50.119 --> 00:51:55.519
<v Speaker 1>hair samples or vcs or whatever. Of course, the closer

824
00:51:55.559 --> 00:51:58.679
<v Speaker 1>you can get to a provincing of it, you know,

825
00:51:58.880 --> 00:52:03.960
<v Speaker 1>like a ing the sasquatch rub against a tree or

826
00:52:04.000 --> 00:52:06.280
<v Speaker 1>something and then getting the hair would be a lot

827
00:52:06.360 --> 00:52:09.559
<v Speaker 1>better than just picking up a hair in the woods

828
00:52:09.599 --> 00:52:13.599
<v Speaker 1>not knowing where it came from. But if some if

829
00:52:13.639 --> 00:52:19.440
<v Speaker 1>these mutations persist in other samples, even if you don't

830
00:52:19.519 --> 00:52:22.679
<v Speaker 1>know exactly where the sample came from, but it comes

831
00:52:22.719 --> 00:52:25.760
<v Speaker 1>out to be close to human like that, then I

832
00:52:25.800 --> 00:52:31.199
<v Speaker 1>think we have something. Because these are extremely rare on mutations.

833
00:52:31.280 --> 00:52:35.800
<v Speaker 1>I mean, no human in the database has more than

834
00:52:35.880 --> 00:52:38.719
<v Speaker 1>one of them, and very few have even one of them,

835
00:52:39.480 --> 00:52:41.960
<v Speaker 1>and none have two or three of these like they

836
00:52:42.000 --> 00:52:47.639
<v Speaker 1>appear in those sequences in the paper, so you know

837
00:52:49.480 --> 00:52:53.400
<v Speaker 1>it's a possible avenue. I think people should keep these

838
00:52:53.440 --> 00:52:57.559
<v Speaker 1>in mind as they do their own DNA sequences.

839
00:52:58.239 --> 00:53:01.400
<v Speaker 2>Have you explored in investigated and do a needy research

840
00:53:01.480 --> 00:53:07.960
<v Speaker 2>into the DNA sequencing of ancient humans? And I think

841
00:53:08.480 --> 00:53:12.480
<v Speaker 2>primary amongst these would be homodenisovans because that entire species

842
00:53:12.880 --> 00:53:16.599
<v Speaker 2>was initially identified by DNA. They had a phalangi bone

843
00:53:16.599 --> 00:53:19.079
<v Speaker 2>I remember a fingerbone in a cave, and they initially

844
00:53:19.079 --> 00:53:21.760
<v Speaker 2>thought it was Neanderthal, but when they ran a DNA

845
00:53:21.920 --> 00:53:26.719
<v Speaker 2>sequence on it, they having the entire Neanderthal genome. Then

846
00:53:26.719 --> 00:53:28.559
<v Speaker 2>comparing this to that, they said, this is not that,

847
00:53:28.639 --> 00:53:31.079
<v Speaker 2>this is a new species. And since then, of course,

848
00:53:31.880 --> 00:53:35.159
<v Speaker 2>other samples have been discovered. A jawbone. It turns out

849
00:53:35.199 --> 00:53:37.320
<v Speaker 2>what we had possession of a jawbone since the nineteen

850
00:53:37.360 --> 00:53:40.719
<v Speaker 2>eighties and misidentified it. I think they identified it as

851
00:53:40.719 --> 00:53:43.480
<v Speaker 2>a Homo heedelber against. This turned out to be homodenisovan

852
00:53:44.280 --> 00:53:47.400
<v Speaker 2>upon DNA testing, and even as recently as July twenty

853
00:53:47.440 --> 00:53:50.920
<v Speaker 2>twenty one. The thing that made the big news is

854
00:53:50.920 --> 00:53:53.800
<v Speaker 2>that the dragon man, you know, Homo. I forgot what

855
00:53:53.800 --> 00:53:55.239
<v Speaker 2>the name of it that they gave it to this thing,

856
00:53:55.360 --> 00:53:59.079
<v Speaker 2>a big, big skull out of China. Some people think

857
00:53:59.079 --> 00:54:02.159
<v Speaker 2>that it's a new speed sees of human and others

858
00:54:02.239 --> 00:54:05.559
<v Speaker 2>think that perhaps is that's the first, you know, skull

859
00:54:05.880 --> 00:54:09.880
<v Speaker 2>remnants of a Denisovan being discovered. So there's a there's

860
00:54:10.239 --> 00:54:15.880
<v Speaker 2>a growing field in palaeoanthropology about DNA sequencing of ancient humans.

861
00:54:16.239 --> 00:54:18.760
<v Speaker 2>Have you explored those avenues at all and how they

862
00:54:18.840 --> 00:54:21.599
<v Speaker 2>might be useful for what we're all trying to do

863
00:54:21.719 --> 00:54:22.719
<v Speaker 2>to prove the Sasquatch.

864
00:54:23.199 --> 00:54:29.280
<v Speaker 1>Yeah, Actually, I am aware of the Denosovan results and

865
00:54:29.360 --> 00:54:34.280
<v Speaker 1>I've looked at them, and I always include Neanderthal and

866
00:54:34.519 --> 00:54:40.119
<v Speaker 1>Carl Magnum Denosovan in my search. Is I'm not, I

867
00:54:40.159 --> 00:54:46.039
<v Speaker 1>wasn't aware of this recent discovery in July. Maybe you

868
00:54:46.079 --> 00:54:48.920
<v Speaker 1>can send me something that would lead me to the

869
00:54:48.960 --> 00:54:54.880
<v Speaker 1>published result there and was d NA sequence from that

870
00:54:55.039 --> 00:54:55.800
<v Speaker 1>sample or not?

871
00:54:56.320 --> 00:54:56.599
<v Speaker 3>No?

872
00:54:56.599 --> 00:54:58.679
<v Speaker 2>No, they just dug up a skull basically, or the

873
00:54:58.719 --> 00:55:00.000
<v Speaker 2>at least the back part of skulls.

874
00:55:00.400 --> 00:55:03.199
<v Speaker 1>It may be too old, but they it might be

875
00:55:03.280 --> 00:55:09.679
<v Speaker 1>worth trying and anyway, so that's interesting too. But yeah,

876
00:55:09.719 --> 00:55:13.159
<v Speaker 1>I have I have when I do some searches that

877
00:55:14.079 --> 00:55:16.679
<v Speaker 1>I'm not sure and I think it's human like, maybe

878
00:55:16.719 --> 00:55:18.599
<v Speaker 1>I always include these other.

879
00:55:20.320 --> 00:55:21.960
<v Speaker 3>Humanoids let's call them.

880
00:55:22.239 --> 00:55:25.000
<v Speaker 2>Do you do what kind of primers they used? Probably

881
00:55:25.280 --> 00:55:28.159
<v Speaker 2>probably a human one, I imagine, probably probably.

882
00:55:28.760 --> 00:55:32.039
<v Speaker 3>Or you can also use universal.

883
00:55:31.639 --> 00:55:36.119
<v Speaker 1>Primate primer if you pick the right region and form

884
00:55:36.159 --> 00:55:41.280
<v Speaker 1>a primer based on that, it can sequence prime aids,

885
00:55:41.360 --> 00:55:42.360
<v Speaker 1>but nothing else.

886
00:55:44.599 --> 00:55:47.960
<v Speaker 4>Stay tuned for more Bigfoot and beyond with Cliff and Bobo.

887
00:55:48.159 --> 00:55:49.960
<v Speaker 4>We'll be right back after these messages.

888
00:55:56.000 --> 00:55:58.039
<v Speaker 2>If you're if you're using a more general primer, do

889
00:55:58.039 --> 00:55:59.280
<v Speaker 2>you get more general results?

890
00:55:59.719 --> 00:56:00.960
<v Speaker 3>That's right, you do.

891
00:56:01.079 --> 00:56:05.880
<v Speaker 1>You can use a mammalian primer, a fish primer, all

892
00:56:06.039 --> 00:56:11.679
<v Speaker 1>vertebrates if you're if they're carefully selected, you can pick

893
00:56:11.800 --> 00:56:16.960
<v Speaker 1>the group that you're focusing on and eliminate everything else.

894
00:56:17.719 --> 00:56:19.360
<v Speaker 2>But then after that you can have to drill down

895
00:56:19.360 --> 00:56:20.639
<v Speaker 2>a little bit to get specifics.

896
00:56:20.840 --> 00:56:24.920
<v Speaker 1>Or yeah, yeah, actually, if you pick a more general one,

897
00:56:24.960 --> 00:56:27.960
<v Speaker 1>then and this is what I'm doing now. I have

898
00:56:28.039 --> 00:56:35.199
<v Speaker 1>some environmental DNA samples from water sources in southeast Oklahoma,

899
00:56:35.280 --> 00:56:39.440
<v Speaker 1>and I'm working through that data. Now, environmental DNA we

900
00:56:39.519 --> 00:56:43.880
<v Speaker 1>hadn't talked about, but It's somewhat like ancient DNA in

901
00:56:43.960 --> 00:56:47.920
<v Speaker 1>that it's got more than one kind of DNA in it,

902
00:56:50.119 --> 00:56:53.400
<v Speaker 1>and so stream water, of course has everything that ever

903
00:56:53.440 --> 00:56:59.360
<v Speaker 1>went into that water, and so it takes I found.

904
00:56:59.440 --> 00:57:04.480
<v Speaker 1>It's a data you get, and I'm writing computer programs

905
00:57:04.480 --> 00:57:06.480
<v Speaker 1>to sort through it so I don't have to do

906
00:57:06.559 --> 00:57:10.960
<v Speaker 1>it manually, because from one sample you get tens of

907
00:57:11.039 --> 00:57:16.920
<v Speaker 1>thousands of sequences by this what's called next generation sequencing.

908
00:57:17.039 --> 00:57:20.400
<v Speaker 1>It's in a flow cell and there are little sites

909
00:57:20.519 --> 00:57:25.119
<v Speaker 1>that are laser scanned, and each site produces a sequence

910
00:57:25.199 --> 00:57:28.440
<v Speaker 1>for you. And some of them are the same as others,

911
00:57:28.480 --> 00:57:31.559
<v Speaker 1>and some of them are different, and you've got to

912
00:57:31.599 --> 00:57:34.800
<v Speaker 1>get rid of the duplicates and focus on the unique ones.

913
00:57:34.880 --> 00:57:38.480
<v Speaker 1>And I've been working on this for months now and

914
00:57:38.559 --> 00:57:42.960
<v Speaker 1>I'm getting there. I'm not ready to report anything yet,

915
00:57:43.000 --> 00:57:47.239
<v Speaker 1>but I'm getting a pretty good focus on the human

916
00:57:47.440 --> 00:57:49.559
<v Speaker 1>like sequences in these water samples.

917
00:57:50.599 --> 00:57:53.039
<v Speaker 2>Now, are these water samples taken from running water or

918
00:57:53.079 --> 00:57:54.760
<v Speaker 2>still water? And does that even matter?

919
00:57:55.199 --> 00:57:58.280
<v Speaker 3>Yeah, A good, good question. Mostly running water.

920
00:57:58.400 --> 00:58:03.199
<v Speaker 1>The more interesting areas were running water, but I do

921
00:58:03.320 --> 00:58:07.280
<v Speaker 1>have some from lakes and ponds as well. I kind

922
00:58:07.280 --> 00:58:11.480
<v Speaker 1>of wanted to compare them you know, and my biggest

923
00:58:11.519 --> 00:58:15.880
<v Speaker 1>hopes are from certain running as streams and river.

924
00:58:16.239 --> 00:58:20.199
<v Speaker 2>Just me thinking about this process, wouldn't running water disperse

925
00:58:20.440 --> 00:58:24.719
<v Speaker 2>the genetic material too much? They are still like genetic

926
00:58:24.760 --> 00:58:27.760
<v Speaker 2>material is so prevalent in the environment you can't get

927
00:58:27.840 --> 00:58:32.320
<v Speaker 2>rid of it, no matter what the ladder the ladder, Okay.

928
00:58:32.079 --> 00:58:33.960
<v Speaker 3>I mean, it's just amazing.

929
00:58:34.079 --> 00:58:39.000
<v Speaker 1>If I put a fingerprint on a glass slide, they

930
00:58:39.079 --> 00:58:45.039
<v Speaker 1>can sequence that at least the mitochondrial sequence.

931
00:58:45.800 --> 00:58:50.119
<v Speaker 3>You know. It is so the techniques are so sensitive.

932
00:58:50.880 --> 00:58:59.800
<v Speaker 1>The amplification process takes sequences and every cycle doubles them,

933
00:59:00.920 --> 00:59:05.719
<v Speaker 1>and so you know, in just an hour or so

934
00:59:06.559 --> 00:59:11.760
<v Speaker 1>or two you get billions and billions of replicants of

935
00:59:11.840 --> 00:59:13.119
<v Speaker 1>that sequence. Yeah.

936
00:59:13.159 --> 00:59:16.000
<v Speaker 2>So it's an exponential growth as opposed to linear then,

937
00:59:16.000 --> 00:59:18.360
<v Speaker 2>because if you're doubling and doubling and doubling.

938
00:59:19.159 --> 00:59:22.840
<v Speaker 1>Two times two times too, Yeah, geometric or you know,

939
00:59:22.960 --> 00:59:25.679
<v Speaker 1>you could call it exponential, it's geometric.

940
00:59:25.920 --> 00:59:28.400
<v Speaker 3>It's a mathematical terminology.

941
00:59:28.199 --> 00:59:33.639
<v Speaker 1>But yeah, that's what's so powerful about this. You know,

942
00:59:33.760 --> 00:59:37.840
<v Speaker 1>they can take fingerprints even and I've seen the paper

943
00:59:37.920 --> 00:59:41.920
<v Speaker 1>where they took some old forensic samples where the cases

944
00:59:41.960 --> 00:59:47.119
<v Speaker 1>are all solved and they kept them anonymous, but they

945
00:59:47.119 --> 00:59:51.320
<v Speaker 1>were able with half a centimeter of hair to do

946
00:59:51.760 --> 00:59:57.119
<v Speaker 1>a mitochondri DNA sequencing half a centimeter of hair getting

947
00:59:57.119 --> 00:59:58.159
<v Speaker 1>the medulla out of that.

948
00:59:58.639 --> 01:00:00.280
<v Speaker 3>So it's that sense now.

949
01:00:00.320 --> 01:00:03.199
<v Speaker 2>Of course, on sasquatch hair, one of the characteristics that

950
01:00:03.280 --> 01:00:06.400
<v Speaker 2>doctor Henter Fahrenbach has determined is that there's a fragmentary

951
01:00:06.599 --> 01:00:10.719
<v Speaker 2>or complete lack of medulla. Does does that pretty much

952
01:00:10.760 --> 01:00:13.480
<v Speaker 2>confound our efforts here to get DNA out of hair

953
01:00:13.519 --> 01:00:16.199
<v Speaker 2>for sasquatches or is there another Is there a workaround

954
01:00:16.239 --> 01:00:16.440
<v Speaker 2>for that?

955
01:00:17.880 --> 01:00:20.639
<v Speaker 3>It makes it extremely difficult. I would say.

956
01:00:22.639 --> 01:00:25.280
<v Speaker 1>If you can find a region where there is some medulla,

957
01:00:25.360 --> 01:00:28.719
<v Speaker 1>then that would be good. And there may be some

958
01:00:29.079 --> 01:00:31.360
<v Speaker 1>DNA even when there's no medulla.

959
01:00:31.559 --> 01:00:34.000
<v Speaker 3>I'm not sure about that, but I think there may

960
01:00:34.039 --> 01:00:34.360
<v Speaker 3>be some.

961
01:00:34.920 --> 01:00:36.920
<v Speaker 2>Yeah, because the hair it sells protein. Am I right?

962
01:00:37.599 --> 01:00:43.960
<v Speaker 1>Largely that there's our keratin it's called, and in the

963
01:00:44.360 --> 01:00:50.719
<v Speaker 1>follicles and the cuticle I mean, and then inside there's

964
01:00:50.760 --> 01:00:52.800
<v Speaker 1>there's DNA in that medulla.

965
01:00:54.039 --> 01:00:56.119
<v Speaker 3>The cortex I don't think has much.

966
01:00:56.199 --> 01:00:59.880
<v Speaker 1>I think it's mostly protein, but inside the medulla the

967
01:01:00.199 --> 01:01:04.840
<v Speaker 1>some DNA. And of course with a hair sample like that,

968
01:01:05.119 --> 01:01:08.320
<v Speaker 1>you might also have some good DNA on the outside

969
01:01:08.360 --> 01:01:12.000
<v Speaker 1>of it from the same animal. Got to be careful

970
01:01:12.000 --> 01:01:14.800
<v Speaker 1>because there could be other animals that at ate or

971
01:01:15.360 --> 01:01:17.000
<v Speaker 1>came in contact with.

972
01:01:16.719 --> 01:01:17.559
<v Speaker 3>The hair, you know.

973
01:01:18.400 --> 01:01:22.440
<v Speaker 1>But you know, animals rub their hair and stuff and

974
01:01:22.559 --> 01:01:27.039
<v Speaker 1>sweat on it and whatever, and so the outside can

975
01:01:27.079 --> 01:01:30.840
<v Speaker 1>be studied too by dissolving the DNA off of it.

976
01:01:31.159 --> 01:01:35.519
<v Speaker 2>Would you have any tips for our Bigfooter listeners about

977
01:01:35.559 --> 01:01:41.280
<v Speaker 2>how to go about collecting samples of whatever that could

978
01:01:41.360 --> 01:01:43.360
<v Speaker 2>potentially yield DNA results.

979
01:01:43.639 --> 01:01:47.840
<v Speaker 1>Well, there's some that are just not my ideas by

980
01:01:47.880 --> 01:01:50.960
<v Speaker 1>any means that a lot of people like Todd Disstel

981
01:01:51.039 --> 01:01:56.880
<v Speaker 1>had mentioned and some of his podcasts and Jeff Melderman others.

982
01:01:56.880 --> 01:02:00.079
<v Speaker 1>You have to be careful you don't contaminate it. The

983
01:02:00.159 --> 01:02:04.159
<v Speaker 1>best thing is to use some sterile forceps. You can

984
01:02:04.159 --> 01:02:12.000
<v Speaker 1>buy them in individual packets from a forensic warehouse supply warehouse,

985
01:02:13.400 --> 01:02:18.199
<v Speaker 1>and gloves and a mask so you don't breathe on it,

986
01:02:18.280 --> 01:02:21.199
<v Speaker 1>and I put something on your head to make sure

987
01:02:21.320 --> 01:02:25.480
<v Speaker 1>you don't drip sweat or hair or anything or dander

988
01:02:25.480 --> 01:02:28.280
<v Speaker 1>if on it either, so you kind of go in

989
01:02:28.480 --> 01:02:33.239
<v Speaker 1>like a doctor does at an operation. You could even

990
01:02:33.320 --> 01:02:37.400
<v Speaker 1>put on a special scrub suit, you know, if you

991
01:02:37.480 --> 01:02:39.960
<v Speaker 1>really want to be good about it and try to

992
01:02:40.039 --> 01:02:44.119
<v Speaker 1>try to keep you know, a really clean front to

993
01:02:44.199 --> 01:02:47.599
<v Speaker 1>the sample, and of course put it in a sterile

994
01:02:47.639 --> 01:02:52.320
<v Speaker 1>container and preserve it in alcohol is usually.

995
01:02:51.960 --> 01:02:52.880
<v Speaker 3>The way they do it.

996
01:02:53.920 --> 01:02:58.599
<v Speaker 1>And this has been described online, so this is not new.

997
01:03:00.159 --> 01:03:04.360
<v Speaker 1>But I would really think hard about what kind of

998
01:03:05.360 --> 01:03:08.400
<v Speaker 1>analysis you want to do, because when you say a

999
01:03:08.480 --> 01:03:13.320
<v Speaker 1>DNA analysis, that's very general, and as we've mentioned, primers

1000
01:03:13.360 --> 01:03:17.760
<v Speaker 1>are all important, and whether you want to do mitochondrial

1001
01:03:17.960 --> 01:03:22.119
<v Speaker 1>or whole nuclear genome, I'd start with the mitochondrial frankly,

1002
01:03:22.760 --> 01:03:25.239
<v Speaker 1>and what region of it do you want to sequence,

1003
01:03:25.400 --> 01:03:29.840
<v Speaker 1>et cetera, et cetera. So there's a lot of details

1004
01:03:30.239 --> 01:03:35.000
<v Speaker 1>that need to be thought about and discussed with the analysts,

1005
01:03:35.360 --> 01:03:36.800
<v Speaker 1>the laboratory.

1006
01:03:36.559 --> 01:03:38.559
<v Speaker 2>And not the least of which is the funding of

1007
01:03:38.599 --> 01:03:41.320
<v Speaker 2>all this, because this whole process is quite expensive still,

1008
01:03:41.360 --> 01:03:41.719
<v Speaker 2>isn't it.

1009
01:03:42.199 --> 01:03:42.440
<v Speaker 1>Yeah?

1010
01:03:42.559 --> 01:03:43.519
<v Speaker 3>I found that out.

1011
01:03:43.639 --> 01:03:50.760
<v Speaker 1>I self funded these environmental samples, and you know, I

1012
01:03:51.320 --> 01:03:53.840
<v Speaker 1>can afford it, but I'm I can't.

1013
01:03:53.679 --> 01:03:57.559
<v Speaker 3>Do that all the time. It'd be nice to get

1014
01:03:57.679 --> 01:03:59.039
<v Speaker 3>a group of people.

1015
01:03:58.800 --> 01:04:01.599
<v Speaker 1>And a go fundme some of this work, and I

1016
01:04:01.599 --> 01:04:05.480
<v Speaker 1>think I'm hoping that I can get some results that

1017
01:04:05.559 --> 01:04:09.760
<v Speaker 1>are promising enough to encourage other people to go out

1018
01:04:09.800 --> 01:04:12.360
<v Speaker 1>and do this kind of thing. And if I get

1019
01:04:12.400 --> 01:04:17.760
<v Speaker 1>this software that these programs completed and refine, some.

1020
01:04:18.760 --> 01:04:20.400
<v Speaker 3>Average people can use them.

1021
01:04:21.679 --> 01:04:25.599
<v Speaker 1>This could be a huge advantage to people collecting these

1022
01:04:25.679 --> 01:04:29.920
<v Speaker 1>environmental samples. And you know, a stream is kind of

1023
01:04:30.039 --> 01:04:35.000
<v Speaker 1>nice in that you get stuff from could be miles away.

1024
01:04:35.440 --> 01:04:37.519
<v Speaker 1>You know, you don't have to be right on top

1025
01:04:38.239 --> 01:04:44.519
<v Speaker 1>of your source. What happens is all these animals slough

1026
01:04:44.559 --> 01:04:47.400
<v Speaker 1>off DNA when they go through the water, the fissure

1027
01:04:47.760 --> 01:04:53.199
<v Speaker 1>already there, and aquatic animals and so on. I got

1028
01:04:53.199 --> 01:04:57.199
<v Speaker 1>some beaver results, for example, I got black bear too,

1029
01:04:57.960 --> 01:05:04.320
<v Speaker 1>and other other mammals, deer, mice and stuff. But you know,

1030
01:05:04.400 --> 01:05:10.199
<v Speaker 1>it's kind of nice that way. But also you've got

1031
01:05:10.199 --> 01:05:14.199
<v Speaker 1>to go through your results very carefully and understand what

1032
01:05:14.360 --> 01:05:19.119
<v Speaker 1>you have. And since there are other people in the woods,

1033
01:05:20.639 --> 01:05:27.119
<v Speaker 1>you know, urinating, defecating, fluffing off hair and hair and

1034
01:05:27.599 --> 01:05:30.719
<v Speaker 1>dandriff and stuff, and going through the water, it's on

1035
01:05:30.840 --> 01:05:35.039
<v Speaker 1>their clothes, their DNA and everything, you know you're going

1036
01:05:35.119 --> 01:05:37.400
<v Speaker 1>to get some other human results.

1037
01:05:37.440 --> 01:05:40.079
<v Speaker 3>And what one needs to do is.

1038
01:05:40.159 --> 01:05:44.559
<v Speaker 1>Fine sequences that are different, even just a mutation or

1039
01:05:44.559 --> 01:05:49.400
<v Speaker 1>two from from other humans and also find them more

1040
01:05:49.440 --> 01:05:52.960
<v Speaker 1>than once. As I said, in one sample, you're getting

1041
01:05:53.000 --> 01:05:57.079
<v Speaker 1>tens of thousands of sequences. Well, if just one of

1042
01:05:57.119 --> 01:06:01.000
<v Speaker 1>these shows something unusual, it's not convincing.

1043
01:06:01.679 --> 01:06:04.440
<v Speaker 3>You also have to look at the air scores.

1044
01:06:04.000 --> 01:06:07.639
<v Speaker 1>On these and see if it was a good call

1045
01:06:08.239 --> 01:06:11.000
<v Speaker 1>as they call it, for the base and you got

1046
01:06:11.039 --> 01:06:16.719
<v Speaker 1>to have more confirmation of that same sequence in the sample,

1047
01:06:17.199 --> 01:06:21.599
<v Speaker 1>and then to compare different samples at different times or

1048
01:06:21.639 --> 01:06:24.679
<v Speaker 1>different places in the stream and hopefully.

1049
01:06:24.280 --> 01:06:27.639
<v Speaker 3>There's some similarities there. So that's what I'm going through now.

1050
01:06:28.280 --> 01:06:32.320
<v Speaker 2>Now, if you're testing stream water, as I'm listening to

1051
01:06:32.360 --> 01:06:36.760
<v Speaker 2>this and thinking, okay, there's DNA material permeates the environment essentially,

1052
01:06:38.599 --> 01:06:43.760
<v Speaker 2>maybe does it make any sense to actually test water

1053
01:06:43.920 --> 01:06:47.480
<v Speaker 2>from larger rivers because there's a higher chance with all

1054
01:06:47.519 --> 01:06:50.599
<v Speaker 2>the feeder streams and whatever else, that our target species

1055
01:06:50.960 --> 01:06:54.480
<v Speaker 2>has sunk their feet into some sort of tributary of

1056
01:06:54.519 --> 01:06:57.719
<v Speaker 2>that larger river, kind of like a bigger net in

1057
01:06:57.760 --> 01:06:58.800
<v Speaker 2>a way, if that makes sense.

1058
01:06:59.360 --> 01:07:04.000
<v Speaker 1>Yeah, both, And there is something to be said for

1059
01:07:04.199 --> 01:07:07.480
<v Speaker 1>the larger river just as you say, it collects from

1060
01:07:08.519 --> 01:07:11.719
<v Speaker 1>a lot more tributaries. However, you're also going to get

1061
01:07:11.760 --> 01:07:15.760
<v Speaker 1>a lot of other things that, of course you won't

1062
01:07:15.760 --> 01:07:20.800
<v Speaker 1>know what tributary you've got the interesting DNA from, but

1063
01:07:20.840 --> 01:07:25.599
<v Speaker 1>you're going to get a lot more human stuff just

1064
01:07:25.639 --> 01:07:28.719
<v Speaker 1>from people who live in the area, and septic systems

1065
01:07:28.800 --> 01:07:29.679
<v Speaker 1>and stuff.

1066
01:07:29.320 --> 01:07:31.199
<v Speaker 2>That maybe say background noise kind of.

1067
01:07:31.519 --> 01:07:38.400
<v Speaker 1>Yeah, if you use smaller tributaries, you can focus on

1068
01:07:38.920 --> 01:07:43.519
<v Speaker 1>an area and it'll also lead you, hopefully to a

1069
01:07:43.559 --> 01:07:48.320
<v Speaker 1>place where you're more likely to actually observe some sasquatch.

1070
01:07:49.159 --> 01:07:51.840
<v Speaker 1>So I think both are in order as far as

1071
01:07:51.840 --> 01:07:52.800
<v Speaker 1>I can tell now.

1072
01:07:53.119 --> 01:07:56.440
<v Speaker 2>Now, if we have a water source for the city

1073
01:07:56.440 --> 01:08:00.559
<v Speaker 2>of Portland nearby called Bull Run Watershed, and most of

1074
01:08:00.559 --> 01:08:03.800
<v Speaker 2>the bigfoot activity in this particular part where Oregon where

1075
01:08:03.800 --> 01:08:06.480
<v Speaker 2>I live, it's kind of centered around the watershed. It's

1076
01:08:06.519 --> 01:08:08.760
<v Speaker 2>pretty solid. At this point, I think it's safe to

1077
01:08:08.800 --> 01:08:12.639
<v Speaker 2>say that there are sasquatches in the watershed fairly frequently,

1078
01:08:12.679 --> 01:08:15.599
<v Speaker 2>because it's tens of thousands of acres where no one

1079
01:08:15.679 --> 01:08:17.880
<v Speaker 2>is allowed. It's literally a twenty four to twenty five

1080
01:08:17.880 --> 01:08:21.720
<v Speaker 2>thousand dollars fine for fishing a tributary to this particular river.

1081
01:08:21.800 --> 01:08:24.680
<v Speaker 2>It's well, you know, national insecurity is a really good

1082
01:08:24.680 --> 01:08:27.000
<v Speaker 2>reason to have high national security and they're worried about

1083
01:08:27.039 --> 01:08:30.079
<v Speaker 2>poisoning or I don't know what it is, but the

1084
01:08:30.239 --> 01:08:32.880
<v Speaker 2>bull Run supplies the city of Portland with its water,

1085
01:08:33.199 --> 01:08:37.000
<v Speaker 2>and there are sasquatch reports all around it, all around it,

1086
01:08:37.600 --> 01:08:40.199
<v Speaker 2>and I've even gotten a handful from within it from

1087
01:08:40.239 --> 01:08:43.479
<v Speaker 2>the people who work for the Portland Water Company. So

1088
01:08:43.640 --> 01:08:45.880
<v Speaker 2>if you have a target area where you're pretty confident

1089
01:08:45.920 --> 01:08:49.520
<v Speaker 2>sasquatches are a pretty sizeable river, I might add, well,

1090
01:08:49.560 --> 01:08:54.279
<v Speaker 2>this is no creek or a trickle. Would you target

1091
01:08:54.920 --> 01:08:58.119
<v Speaker 2>particular river systems and hopes of higher results, or like

1092
01:08:58.119 --> 01:09:00.560
<v Speaker 2>the Mill Creek water shed outside of wall Wallet where

1093
01:09:00.600 --> 01:09:02.840
<v Speaker 2>a ton of evidence has been taken. Have you tried

1094
01:09:02.840 --> 01:09:05.039
<v Speaker 2>that avenue of actually targeting specifical ones.

1095
01:09:05.119 --> 01:09:09.600
<v Speaker 1>Yes, Actually, the area that I collected these samples from

1096
01:09:09.760 --> 01:09:14.600
<v Speaker 1>has been thought reported by others to have a lot

1097
01:09:14.640 --> 01:09:18.119
<v Speaker 1>of sightings and rocks thrown at them and all kinds

1098
01:09:18.119 --> 01:09:22.119
<v Speaker 1>of activity. And it's also where I saw my near

1099
01:09:22.159 --> 01:09:27.680
<v Speaker 1>where I saw my sighting. So yeah, targeting certain area,

1100
01:09:27.720 --> 01:09:30.560
<v Speaker 1>I mean I wouldn't go. I wouldn't go in the.

1101
01:09:30.479 --> 01:09:33.479
<v Speaker 3>Middle of Kansas and just do any river. You know,

1102
01:09:34.000 --> 01:09:34.840
<v Speaker 3>I think you're right.

1103
01:09:34.920 --> 01:09:41.640
<v Speaker 1>You focus on at least areas that in a larger

1104
01:09:41.439 --> 01:09:46.079
<v Speaker 1>or smaller scale have a lot of promise.

1105
01:09:46.279 --> 01:09:49.920
<v Speaker 2>Yes, would a sasquatch have to step in the water

1106
01:09:50.159 --> 01:09:52.319
<v Speaker 2>to slough off any DNA material, or it could have

1107
01:09:52.399 --> 01:09:53.600
<v Speaker 2>just been nearby.

1108
01:09:53.680 --> 01:09:54.840
<v Speaker 3>It could be washed in.

1109
01:09:55.960 --> 01:09:59.800
<v Speaker 1>You know, Let's say they urinated nearby and then it rains, Well,

1110
01:10:00.039 --> 01:10:02.760
<v Speaker 1>that's going to get at the end of the stream.

1111
01:10:03.199 --> 01:10:09.640
<v Speaker 1>Same with defication and other ways of losing DNA in

1112
01:10:09.680 --> 01:10:10.359
<v Speaker 1>the woods.

1113
01:10:11.960 --> 01:10:14.680
<v Speaker 3>If it's close enough, it'll wash into the stream.

1114
01:10:15.039 --> 01:10:17.239
<v Speaker 2>That's interesting because I'm not sure you're aware of who

1115
01:10:17.239 --> 01:10:19.720
<v Speaker 2>Glenn Thomas is, but he's a witness. He's most famous

1116
01:10:19.720 --> 01:10:22.479
<v Speaker 2>about his he saw sasquatches stacking rocks and tacking out

1117
01:10:22.520 --> 01:10:25.680
<v Speaker 2>rodents from this tayless slope up in Mountain Hood National Forest.

1118
01:10:25.720 --> 01:10:28.000
<v Speaker 2>But he had more than one siding. And another one

1119
01:10:28.000 --> 01:10:30.319
<v Speaker 2>of his sidings he had he saw a sasquatch and

1120
01:10:30.319 --> 01:10:34.119
<v Speaker 2>it basically took a dump in a river, right in

1121
01:10:34.159 --> 01:10:36.520
<v Speaker 2>the river. And I thought that was interesting because I

1122
01:10:36.560 --> 01:10:38.239
<v Speaker 2>know when I put my feet in water, i have

1123
01:10:38.279 --> 01:10:40.840
<v Speaker 2>to pee, you know, So there might be some sort

1124
01:10:40.840 --> 01:10:45.279
<v Speaker 2>of connection between those two things there. But if a

1125
01:10:45.319 --> 01:10:50.399
<v Speaker 2>sasquatch did defecate into a river, how long could one

1126
01:10:50.479 --> 01:10:54.920
<v Speaker 2>expect for that DNA material to stay in the river system.

1127
01:10:54.960 --> 01:10:59.359
<v Speaker 2>I mean, has there everybody studies already investigation into that question.

1128
01:10:59.800 --> 01:11:02.600
<v Speaker 1>I'm not aware of any, but that doesn't mean there

1129
01:11:02.640 --> 01:11:03.359
<v Speaker 1>aren't anybody.

1130
01:11:03.920 --> 01:11:09.199
<v Speaker 3>I'll say, this DNA will degrade in time.

1131
01:11:10.840 --> 01:11:14.880
<v Speaker 1>There are microbes that eat it and other things so

1132
01:11:15.560 --> 01:11:20.680
<v Speaker 1>and chemically as well. It can hydrolyze and and so on.

1133
01:11:20.960 --> 01:11:24.680
<v Speaker 1>So the sooner you get it the better. That's another

1134
01:11:25.319 --> 01:11:28.479
<v Speaker 1>unknown here. When you sample a water stream, you know

1135
01:11:30.760 --> 01:11:34.880
<v Speaker 1>how how recent was the DNA deposited, but it may

1136
01:11:34.920 --> 01:11:37.079
<v Speaker 1>affect whether you get any results or not.

1137
01:11:38.720 --> 01:11:41.159
<v Speaker 3>But yeah, defication, that would be excellent.

1138
01:11:41.279 --> 01:11:45.800
<v Speaker 1>And if you don't get the actual stool, then the

1139
01:11:45.840 --> 01:11:49.119
<v Speaker 1>water coming off it should have DNA in it, a

1140
01:11:49.159 --> 01:11:49.680
<v Speaker 1>lot of it.

1141
01:11:50.920 --> 01:11:54.199
<v Speaker 3>But you'll get DNA from everything he ate as well.

1142
01:11:54.920 --> 01:11:57.600
<v Speaker 2>Yeah, yeah, that's the thing I think this hotel said.

1143
01:11:57.720 --> 01:11:59.960
<v Speaker 2>You have to collect the stools hable form, like the screen,

1144
01:12:00.079 --> 01:12:01.840
<v Speaker 2>the outside of it, because that's the part that would

1145
01:12:01.840 --> 01:12:05.119
<v Speaker 2>have scraped against the intestinal walls or something.

1146
01:12:05.079 --> 01:12:08.439
<v Speaker 1>And that's the part that would get dispersed in the

1147
01:12:08.439 --> 01:12:11.680
<v Speaker 1>water the easiest as well, or the quickest for sure.

1148
01:12:11.760 --> 01:12:14.279
<v Speaker 2>And of course the dispersion of the DNA material throughout

1149
01:12:14.279 --> 01:12:17.319
<v Speaker 2>the river system would take some time as well. If

1150
01:12:17.319 --> 01:12:19.600
<v Speaker 2>you're like three miles downstream, we wouldn't expect it to

1151
01:12:19.640 --> 01:12:21.520
<v Speaker 2>be instantaneous, but maybe a few days later.

1152
01:12:21.640 --> 01:12:22.119
<v Speaker 3>Perhaps.

1153
01:12:22.880 --> 01:12:28.640
<v Speaker 1>Now I understand there's some software that allows you to

1154
01:12:28.680 --> 01:12:35.680
<v Speaker 1>design your sampling procedures in a water shed based on

1155
01:12:36.239 --> 01:12:42.199
<v Speaker 1>I think things like water flow rates and so on,

1156
01:12:43.079 --> 01:12:50.079
<v Speaker 1>and typography and the topology of the network. And I

1157
01:12:50.159 --> 01:12:54.399
<v Speaker 1>don't know what other parameters are involved, but it's used

1158
01:12:54.439 --> 01:12:58.800
<v Speaker 1>by people interested in fish and if.

1159
01:12:58.680 --> 01:13:00.239
<v Speaker 3>They want to know the source of.

1160
01:13:01.720 --> 01:13:05.159
<v Speaker 1>The FIA shore where they breed, or this kind of question,

1161
01:13:05.319 --> 01:13:07.159
<v Speaker 1>they use this software.

1162
01:13:07.920 --> 01:13:11.479
<v Speaker 2>Another example of the interdisciplinary studies involved in bigfoot stuff

1163
01:13:11.560 --> 01:13:14.640
<v Speaker 2>is like hydrologists can participate in this as well.

1164
01:13:15.119 --> 01:13:22.880
<v Speaker 1>Absolutely absolutely, because you know, I didn't do any extensive.

1165
01:13:24.159 --> 01:13:25.560
<v Speaker 3>Experimental design.

1166
01:13:25.840 --> 01:13:29.840
<v Speaker 1>I just knew that these bodies of water were near

1167
01:13:29.880 --> 01:13:33.960
<v Speaker 1>where sightings were and I just kind of randomly really

1168
01:13:34.880 --> 01:13:43.439
<v Speaker 1>selected locations. And obviously locations are important and timing. You know,

1169
01:13:45.159 --> 01:13:49.560
<v Speaker 1>things don't last forever, and so you probably have to

1170
01:13:49.600 --> 01:13:52.520
<v Speaker 1>take things over a period of time and make sure

1171
01:13:52.560 --> 01:13:56.239
<v Speaker 1>you don't miss something. And this was really a survey,

1172
01:13:56.399 --> 01:14:01.359
<v Speaker 1>and I'm developing my methodology for interpreting the results.

1173
01:14:01.479 --> 01:14:05.359
<v Speaker 3>But it's pretty obvious that more data.

1174
01:14:05.079 --> 01:14:10.000
<v Speaker 1>Will have to be collected to be to be very

1175
01:14:11.039 --> 01:14:12.520
<v Speaker 1>meticulous and complete.

1176
01:14:13.000 --> 01:14:16.560
<v Speaker 2>So that that sounds like that's your main focus at

1177
01:14:16.560 --> 01:14:19.279
<v Speaker 2>this point. Moving ahead, you're working with the e DNA

1178
01:14:19.439 --> 01:14:21.880
<v Speaker 2>studies with river systems and things like that. Is there

1179
01:14:21.920 --> 01:14:25.560
<v Speaker 2>anything else that you're working on that would our audience

1180
01:14:25.600 --> 01:14:26.920
<v Speaker 2>would be interested in?

1181
01:14:27.880 --> 01:14:27.960
<v Speaker 1>No?

1182
01:14:29.640 --> 01:14:30.000
<v Speaker 3>Quite.

1183
01:14:30.039 --> 01:14:35.439
<v Speaker 1>Frankly, this is my first field study. I'm not a

1184
01:14:35.479 --> 01:14:40.159
<v Speaker 1>field biologist by any means. I'm a naturalist and an observer.

1185
01:14:40.359 --> 01:14:44.760
<v Speaker 1>But so this this was a new experience, and obviously

1186
01:14:45.199 --> 01:14:47.920
<v Speaker 1>I've learned a few things that I might do differently.

1187
01:14:49.479 --> 01:14:52.640
<v Speaker 3>So but yes, at the moment, this is it.

1188
01:14:54.560 --> 01:14:56.960
<v Speaker 1>I'll have to see how this works out as to

1189
01:14:57.000 --> 01:14:58.960
<v Speaker 1>whether I want to do some more of this kind

1190
01:14:58.960 --> 01:15:02.800
<v Speaker 1>of work and who I might also encourage to do it,

1191
01:15:04.239 --> 01:15:08.159
<v Speaker 1>some other people that I would share some methodology with

1192
01:15:08.399 --> 01:15:13.159
<v Speaker 1>and hopefully they might look in some different places. And

1193
01:15:13.520 --> 01:15:17.840
<v Speaker 1>the ones you mentioned up there in Oregon near Portland

1194
01:15:17.920 --> 01:15:25.279
<v Speaker 1>and in Washington State sound like excellent sources of water

1195
01:15:25.520 --> 01:15:26.760
<v Speaker 1>born DNA to me.

1196
01:15:27.560 --> 01:15:31.159
<v Speaker 2>Oh yeah, yeah. I've literally had retired people from the

1197
01:15:31.159 --> 01:15:34.680
<v Speaker 2>Portland Water Department email me and say and they called

1198
01:15:35.039 --> 01:15:37.079
<v Speaker 2>the Bill Run water shed a Bigfoot preserve.

1199
01:15:39.199 --> 01:15:42.000
<v Speaker 3>Yeah, well I would. I would start there if I

1200
01:15:42.039 --> 01:15:42.439
<v Speaker 3>were going to.

1201
01:15:42.439 --> 01:15:47.119
<v Speaker 1>Get involved in this, and that sounds sounds great, and

1202
01:15:48.079 --> 01:15:52.399
<v Speaker 1>hopefully I'll have some methodology worked out. People complain that

1203
01:15:52.560 --> 01:15:58.159
<v Speaker 1>this kind of data environmental DNA takes too much time

1204
01:15:58.399 --> 01:16:01.199
<v Speaker 1>to sort through, and I think are doing it manually,

1205
01:16:02.000 --> 01:16:05.159
<v Speaker 1>and I'm not sure what their focus or their objectives

1206
01:16:05.199 --> 01:16:11.439
<v Speaker 1>are always as to what they're looking for, a survey

1207
01:16:11.560 --> 01:16:13.119
<v Speaker 1>of everything that's there.

1208
01:16:13.159 --> 01:16:15.760
<v Speaker 3>Or some specific species or whatever.

1209
01:16:15.800 --> 01:16:19.920
<v Speaker 1>But I think I'll have some pretty good recommendations when

1210
01:16:19.960 --> 01:16:23.199
<v Speaker 1>I'm done with this, and some software that I hope

1211
01:16:23.239 --> 01:16:24.560
<v Speaker 1>will be easy enough to use.

1212
01:16:25.359 --> 01:16:28.760
<v Speaker 2>Well. Have you spoken to doctor Meldrum about his A

1213
01:16:28.920 --> 01:16:32.640
<v Speaker 2>DNA samples from the Olympic Project nests now.

1214
01:16:33.720 --> 01:16:38.159
<v Speaker 1>Not specifically, but I'm going to and soon because I

1215
01:16:38.159 --> 01:16:42.279
<v Speaker 1>would like to see if they did get any interesting

1216
01:16:42.560 --> 01:16:47.000
<v Speaker 1>DNA sequences that may be unusual, and I certainly would

1217
01:16:47.000 --> 01:16:49.920
<v Speaker 1>like to compare them to what I find that any

1218
01:16:50.000 --> 01:16:56.680
<v Speaker 1>unusual DNA sequences, So that's going to happen, and I

1219
01:16:56.880 --> 01:17:00.279
<v Speaker 1>was one of the funders of the project. Do not

1220
01:17:00.399 --> 01:17:03.880
<v Speaker 1>believe it was promised that has also been given to

1221
01:17:04.159 --> 01:17:07.760
<v Speaker 1>all of the funders, So I think I'm probably entitled

1222
01:17:07.760 --> 01:17:12.760
<v Speaker 1>to something, and I don't think it's been written up formally,

1223
01:17:13.479 --> 01:17:13.880
<v Speaker 1>has it?

1224
01:17:14.560 --> 01:17:16.640
<v Speaker 2>No, I don't think so. And I know Distel is

1225
01:17:16.640 --> 01:17:20.039
<v Speaker 2>the guy who ran the sequences, and uh, I guess

1226
01:17:20.039 --> 01:17:24.720
<v Speaker 2>they got fragmentary, fragmentary sequences and Distel said they are

1227
01:17:25.159 --> 01:17:28.319
<v Speaker 2>they seem to be human. This Hotel told me in

1228
01:17:28.359 --> 01:17:30.880
<v Speaker 2>a private conversation that he could tell me the ethnicity

1229
01:17:30.880 --> 01:17:33.239
<v Speaker 2>of the human based on what's going on. But I

1230
01:17:33.239 --> 01:17:35.760
<v Speaker 2>know doctor Meldrim has also been looking at other avenues

1231
01:17:35.800 --> 01:17:39.079
<v Speaker 2>with other geneticists whatever, gentlemen from UC Davis in particular,

1232
01:17:39.119 --> 01:17:44.479
<v Speaker 2>I believe saying that that maybe we're missing certain segments

1233
01:17:44.600 --> 01:17:45.600
<v Speaker 2>or something, but I don't know.

1234
01:17:45.680 --> 01:17:49.000
<v Speaker 1>Well, all in this data is fragmentary in the sense

1235
01:17:49.119 --> 01:17:54.399
<v Speaker 1>that these are fragments of the d NA and the genome.

1236
01:17:54.520 --> 01:17:58.800
<v Speaker 1>You won't get a whole genome in one shot. It's

1237
01:17:58.840 --> 01:18:05.079
<v Speaker 1>all broken up, okay for the most part anyway, And

1238
01:18:05.199 --> 01:18:09.960
<v Speaker 1>so that's not unusual. But if he can tell ethnicity,

1239
01:18:10.039 --> 01:18:16.680
<v Speaker 1>then he must be doing a fairly complete mitochondrial DNA study,

1240
01:18:17.520 --> 01:18:21.680
<v Speaker 1>because if you're just doing a short region to identify

1241
01:18:21.760 --> 01:18:24.840
<v Speaker 1>whether it's a human or a bear or a beaver.

1242
01:18:25.560 --> 01:18:29.640
<v Speaker 1>You won't have enough information to say what the ethnicity

1243
01:18:29.760 --> 01:18:32.079
<v Speaker 1>is in most cases anyway.

1244
01:18:32.239 --> 01:18:34.680
<v Speaker 2>Well, see, maybe to reach out to doctor Destel and

1245
01:18:34.840 --> 01:18:36.079
<v Speaker 2>the doctor Jeff Milterman's.

1246
01:18:36.439 --> 01:18:39.279
<v Speaker 1>Yeah, well that's a good suggestion, and I intend to

1247
01:18:39.319 --> 01:18:43.000
<v Speaker 1>follow up on it. I need I do need to,

1248
01:18:43.520 --> 01:18:45.800
<v Speaker 1>and I hope I would have something to share with

1249
01:18:45.880 --> 01:18:46.640
<v Speaker 1>them as well.

1250
01:18:48.840 --> 01:18:52.239
<v Speaker 4>Stay tuned for more Bigfoot and Beyond with Cliff and Bobo.

1251
01:18:52.439 --> 01:18:54.239
<v Speaker 4>We'll be right back after these messages.

1252
01:19:00.119 --> 01:19:02.199
<v Speaker 2>Oh, I think you've done a huge service to the

1253
01:19:02.239 --> 01:19:06.560
<v Speaker 2>community and the science of the of the big foot

1254
01:19:06.600 --> 01:19:09.319
<v Speaker 2>field as well by writing your book. And it was

1255
01:19:09.319 --> 01:19:12.560
<v Speaker 2>just a fantastic read, although I'll tell you a lot

1256
01:19:12.640 --> 01:19:15.560
<v Speaker 2>of it went over my head, man, But the nuggets

1257
01:19:15.560 --> 01:19:17.479
<v Speaker 2>that I took away from this, they said, oh well,

1258
01:19:17.560 --> 01:19:21.199
<v Speaker 2>perhaps better work could have been done, maybe a missed opportunity.

1259
01:19:21.479 --> 01:19:23.640
<v Speaker 2>But is it too late? Should we just write this off?

1260
01:19:23.760 --> 01:19:26.119
<v Speaker 2>Or is there something that we can get out of

1261
01:19:26.159 --> 01:19:29.199
<v Speaker 2>the Sasquatch genome project? Is there something of value that

1262
01:19:29.239 --> 01:19:30.760
<v Speaker 2>we can take away at this point?

1263
01:19:31.039 --> 01:19:37.000
<v Speaker 1>Well, melboul Ketchum claims that she has four terabytes of

1264
01:19:37.119 --> 01:19:40.199
<v Speaker 1>data and not all of.

1265
01:19:40.159 --> 01:19:45.119
<v Speaker 3>It appeared in the paper. If there's some more data there.

1266
01:19:45.720 --> 01:19:51.439
<v Speaker 1>There's possibly sequences that might match something different than a

1267
01:19:51.520 --> 01:19:57.159
<v Speaker 1>bear and a dog. So I mean, she's very reluctant

1268
01:19:57.159 --> 01:20:00.319
<v Speaker 1>to share any of that data. I've heard from other

1269
01:20:00.399 --> 01:20:05.520
<v Speaker 1>sources who ask for it. But I think, you know,

1270
01:20:05.640 --> 01:20:09.520
<v Speaker 1>if she opened up her raw data, not just the sequences,

1271
01:20:09.560 --> 01:20:15.399
<v Speaker 1>but the data that went behind them, I think some other.

1272
01:20:15.319 --> 01:20:19.760
<v Speaker 3>People might be able to look at it. Now.

1273
01:20:19.800 --> 01:20:22.680
<v Speaker 1>I know one geneticist who would like to get a

1274
01:20:22.680 --> 01:20:25.079
<v Speaker 1>hold of it and look for other things.

1275
01:20:25.119 --> 01:20:28.399
<v Speaker 2>So is that part our papers when they publish, like

1276
01:20:28.520 --> 01:20:33.439
<v Speaker 2>journal papers, usually completely transparent with their data and whatnot.

1277
01:20:33.520 --> 01:20:35.359
<v Speaker 2>Or is it just like I found this and they

1278
01:20:35.359 --> 01:20:37.319
<v Speaker 2>don't let other people try to replicate the results.

1279
01:20:37.399 --> 01:20:43.560
<v Speaker 1>Or most journals require you to submit in supplementary data

1280
01:20:43.600 --> 01:20:47.840
<v Speaker 1>because most of it is too extensive to go into

1281
01:20:47.880 --> 01:20:50.199
<v Speaker 1>a paper, which they try to limit to just the

1282
01:20:51.039 --> 01:20:56.079
<v Speaker 1>concise results and conclusions and some description of the method.

1283
01:20:56.159 --> 01:21:01.760
<v Speaker 1>So yeah, it should be available, the sequences and even

1284
01:21:01.800 --> 01:21:05.479
<v Speaker 1>the raw the raw data that leads to the sequences.

1285
01:21:05.920 --> 01:21:11.920
<v Speaker 1>Now I don't again, that was part of the publication,

1286
01:21:14.159 --> 01:21:19.319
<v Speaker 1>the dilemma that she had, I believe, and so yes,

1287
01:21:19.760 --> 01:21:24.399
<v Speaker 1>the reputable journals you should be able to reproduce their

1288
01:21:24.439 --> 01:21:26.039
<v Speaker 1>results from their raw data.

1289
01:21:26.840 --> 01:21:29.119
<v Speaker 2>That's why you publish it. I mean I'm not a scientist,

1290
01:21:29.159 --> 01:21:31.800
<v Speaker 2>of course, but that's literally why you published, like I

1291
01:21:31.920 --> 01:21:35.479
<v Speaker 2>found this, here's my data. You go do it too,

1292
01:21:35.600 --> 01:21:37.840
<v Speaker 2>and you're going to see that I'm right, and you're

1293
01:21:37.880 --> 01:21:39.359
<v Speaker 2>going to see that I'm wrong, in which case you

1294
01:21:39.359 --> 01:21:41.119
<v Speaker 2>take the criticism and you adjust things.

1295
01:21:41.920 --> 01:21:45.680
<v Speaker 1>Well, the best scientists have that attitude. I'm not sure

1296
01:21:46.000 --> 01:21:50.680
<v Speaker 1>all of them do, but the ones who really don't

1297
01:21:50.800 --> 01:21:55.239
<v Speaker 1>care about who did this first and who gets all

1298
01:21:55.319 --> 01:21:59.439
<v Speaker 1>the credit, who gets some of the credit, are very

1299
01:21:59.520 --> 01:22:04.159
<v Speaker 1>open about out their results and their raw data, and

1300
01:22:04.199 --> 01:22:11.119
<v Speaker 1>they welcome constructive criticism. And I certainly myself wouldn't want

1301
01:22:11.159 --> 01:22:13.880
<v Speaker 1>to have something out there in the literature that's wrong,

1302
01:22:16.079 --> 01:22:19.119
<v Speaker 1>it's proven to be wrong, I would join in with

1303
01:22:19.239 --> 01:22:23.600
<v Speaker 1>those who have proven it to be so and commend

1304
01:22:23.600 --> 01:22:27.199
<v Speaker 1>them for their efforts. You know, it's just a matter

1305
01:22:27.239 --> 01:22:31.119
<v Speaker 1>of ego. I guess I'm interested in the truth and

1306
01:22:32.119 --> 01:22:34.680
<v Speaker 1>I don't care if I find it or somebody else does,

1307
01:22:35.079 --> 01:22:38.039
<v Speaker 1>or how many mistakes I make along the way. But

1308
01:22:39.159 --> 01:22:42.159
<v Speaker 1>you know, you just that's my attitude. I think the

1309
01:22:42.239 --> 01:22:44.800
<v Speaker 1>better sidists all feel that way too, well.

1310
01:22:44.880 --> 01:22:46.800
<v Speaker 2>Let's hope that she does share all the raw data

1311
01:22:46.800 --> 01:22:49.800
<v Speaker 2>at some point, because if she's right, I say it

1312
01:22:49.800 --> 01:22:52.560
<v Speaker 2>all the time on this problem, this podcast, the truth

1313
01:22:52.640 --> 01:22:56.399
<v Speaker 2>can withstand the scrutiny. And if you don't share your data,

1314
01:22:56.479 --> 01:22:59.760
<v Speaker 2>that is functionally the same as not having data at all.

1315
01:23:00.039 --> 01:23:01.680
<v Speaker 2>It seems to me that all this stuff should just

1316
01:23:01.720 --> 01:23:04.000
<v Speaker 2>be out there for other people like yourself and other

1317
01:23:04.039 --> 01:23:08.640
<v Speaker 2>interested parties with other qualifications to look at and dissect.

1318
01:23:08.720 --> 01:23:11.840
<v Speaker 2>And again, if it's true, if it's right, it's gonna

1319
01:23:12.359 --> 01:23:15.239
<v Speaker 2>it'll withstand the scrutiny. It'll still be there being right

1320
01:23:15.319 --> 01:23:16.680
<v Speaker 2>after people are done looking at it.

1321
01:23:17.800 --> 01:23:21.640
<v Speaker 1>Yeah, that's that's very true. And so I don't know.

1322
01:23:22.239 --> 01:23:26.399
<v Speaker 1>I think we do need some new data. However, I'm

1323
01:23:26.439 --> 01:23:30.439
<v Speaker 1>not too optimistic about what you're gonna find in her data.

1324
01:23:30.560 --> 01:23:33.239
<v Speaker 1>I might, you know, I might be wrong. There could

1325
01:23:33.239 --> 01:23:37.680
<v Speaker 1>be some gems in there. But if I were starting

1326
01:23:37.680 --> 01:23:40.760
<v Speaker 1>out unless scratch, I think i'd try to get some

1327
01:23:40.840 --> 01:23:46.119
<v Speaker 1>of my own samples and try to get some some

1328
01:23:46.239 --> 01:23:46.520
<v Speaker 1>of my.

1329
01:23:46.520 --> 01:23:49.079
<v Speaker 2>Own new data, which is exactly what you're doing with

1330
01:23:49.119 --> 01:23:49.800
<v Speaker 2>the stream study.

1331
01:23:49.840 --> 01:23:52.439
<v Speaker 3>It sounds like, yes, that's that's what I'm doing.

1332
01:23:52.600 --> 01:23:55.840
<v Speaker 1>And I didn't, you know, I just did this this year,

1333
01:23:56.000 --> 01:24:00.640
<v Speaker 1>So I mean I spent eight years looking at other

1334
01:24:00.800 --> 01:24:06.119
<v Speaker 1>people's results and trying to learn from them, especially catch

1335
01:24:06.119 --> 01:24:06.960
<v Speaker 1>from results.

1336
01:24:07.439 --> 01:24:09.640
<v Speaker 2>All right, well, doctor Hart, I cannot thank you enough

1337
01:24:09.680 --> 01:24:12.800
<v Speaker 2>for coming on and talking about your studies and clarifying

1338
01:24:12.840 --> 01:24:15.640
<v Speaker 2>some of the things you've been delving into, and of

1339
01:24:15.680 --> 01:24:17.680
<v Speaker 2>course any of our listeners out there who want to

1340
01:24:17.720 --> 01:24:20.000
<v Speaker 2>listen or who want to check out this stuff to

1341
01:24:20.199 --> 01:24:23.800
<v Speaker 2>an extraordinary depth. By the way, far over my head.

1342
01:24:23.840 --> 01:24:26.279
<v Speaker 2>And I'm kind of a science nerd, a general science

1343
01:24:26.319 --> 01:24:30.000
<v Speaker 2>nerd in general, but this book, The Sasquatch Genome Project,

1344
01:24:30.079 --> 01:24:35.439
<v Speaker 2>a failed DNA study, is a fantastic book. Even though

1345
01:24:35.479 --> 01:24:38.840
<v Speaker 2>I don't understand a lot of the chemistry and what

1346
01:24:39.199 --> 01:24:41.560
<v Speaker 2>and the deep dives in here, there is a lot

1347
01:24:41.600 --> 01:24:43.479
<v Speaker 2>to take away out of this book. And I hope,

1348
01:24:43.560 --> 01:24:47.199
<v Speaker 2>I hope my listeners who are sincerely interested in digging

1349
01:24:47.199 --> 01:24:49.479
<v Speaker 2>deep into the science and learning a little bit about

1350
01:24:49.479 --> 01:24:52.479
<v Speaker 2>this stuff and they pick up this book and check

1351
01:24:52.479 --> 01:24:53.840
<v Speaker 2>it out. I don't think it's they're going to be

1352
01:24:53.880 --> 01:24:56.760
<v Speaker 2>disappointed at all. So, doctor Hart, thank you so much

1353
01:24:56.760 --> 01:24:59.760
<v Speaker 2>for sharing your knowledge and spending some time with me today.

1354
01:25:00.079 --> 01:25:02.880
<v Speaker 1>Well, it's been a pleasure of Cliff talking with you

1355
01:25:03.039 --> 01:25:06.760
<v Speaker 1>and getting some of your thoughts on these interesting subjects.

1356
01:25:08.199 --> 01:25:11.079
<v Speaker 1>I really thank you for having me on the program,

1357
01:25:11.199 --> 01:25:17.600
<v Speaker 1>and hopefully I can report some results, maybe justify another discussion.

1358
01:25:18.239 --> 01:25:20.520
<v Speaker 2>I'll keep my ear to the ground for your next

1359
01:25:20.640 --> 01:25:23.800
<v Speaker 2>round of interesting results. That's for sure. You are definitely

1360
01:25:23.840 --> 01:25:26.000
<v Speaker 2>on my radar now. I think you've done fantastic work.

1361
01:25:26.079 --> 01:25:27.640
<v Speaker 2>So thank you so much, doctor Hart.

1362
01:25:27.760 --> 01:25:28.239
<v Speaker 3>Thank you.

1363
01:25:28.920 --> 01:25:32.520
<v Speaker 2>All right, folks, there you go again. Check out this book,

1364
01:25:32.600 --> 01:25:37.159
<v Speaker 2>Doctor Haskell Heart's book, The Sasquatch Genome Project, a failed

1365
01:25:37.279 --> 01:25:40.960
<v Speaker 2>DNA study. Doctor Meldrum did the forward in this thing,

1366
01:25:41.199 --> 01:25:43.960
<v Speaker 2>and it is a lot to chew on. I'm not

1367
01:25:44.000 --> 01:25:46.039
<v Speaker 2>going to lie to you like this is a book

1368
01:25:46.079 --> 01:25:48.760
<v Speaker 2>that is deep. So if you are a geneticist, if

1369
01:25:48.760 --> 01:25:52.000
<v Speaker 2>you are a chemist, if you are a biologist of

1370
01:25:52.039 --> 01:25:55.319
<v Speaker 2>any sort, you're gonna love this. You're gonna love this.

1371
01:25:55.439 --> 01:25:57.920
<v Speaker 2>But even if you're just a generalist science nerd, a

1372
01:25:58.000 --> 01:26:02.119
<v Speaker 2>citizen scientist like my self, you are going to enjoy

1373
01:26:02.159 --> 01:26:04.359
<v Speaker 2>this book. It kind of dispels a lot of the

1374
01:26:04.399 --> 01:26:08.159
<v Speaker 2>myth and rumor, et cetera with real hard numbers in science.

1375
01:26:08.479 --> 01:26:13.600
<v Speaker 2>Because everybody's heard about the everybody's heard about doctor Ketchum's study,

1376
01:26:13.640 --> 01:26:16.479
<v Speaker 2>and there's all sorts of rumors and people saying this

1377
01:26:16.600 --> 01:26:19.399
<v Speaker 2>about it and people saying that about it, and it's

1378
01:26:19.479 --> 01:26:22.680
<v Speaker 2>just the gossip machine rolls. You know. We're the Bigfoot community.

1379
01:26:22.720 --> 01:26:23.119
<v Speaker 3>That's what we do.

1380
01:26:23.159 --> 01:26:26.760
<v Speaker 2>We gossip about other bigfooter errs because so little bigfoot

1381
01:26:26.800 --> 01:26:30.640
<v Speaker 2>stuff happens. Well, this gets right past all that junk,

1382
01:26:30.720 --> 01:26:34.199
<v Speaker 2>that outer layer of conspiracy and weirdness that surrounds the

1383
01:26:34.319 --> 01:26:38.119
<v Speaker 2>Ketchum study. This gets past that, goes into the science,

1384
01:26:38.199 --> 01:26:42.319
<v Speaker 2>crunches the numbers and talks about methodology, and it just

1385
01:26:42.640 --> 01:26:45.439
<v Speaker 2>so much, so much is in this book. I cannot

1386
01:26:45.520 --> 01:26:48.359
<v Speaker 2>recommend it enough. If you are a Bigfoot nerd like

1387
01:26:48.439 --> 01:26:52.279
<v Speaker 2>me who's interested in science, get this book. I can't

1388
01:26:52.279 --> 01:26:53.880
<v Speaker 2>recommend it enough. And I don't get anything for it.

1389
01:26:53.880 --> 01:26:57.039
<v Speaker 2>Don't get me wrong, you didn't not sponsored or anything

1390
01:26:57.119 --> 01:26:59.880
<v Speaker 2>like that. I just am recommending this book because it

1391
01:27:00.000 --> 01:27:03.279
<v Speaker 2>this is fantastic. Yeah, and there you go, guys. I'm sorry.

1392
01:27:03.319 --> 01:27:06.399
<v Speaker 2>Bubo couldn't make it obligations or obligations. He's doing production

1393
01:27:06.520 --> 01:27:08.760
<v Speaker 2>work and that's just the way it is. Sometimes that's

1394
01:27:08.800 --> 01:27:10.920
<v Speaker 2>but that's what we have. Two hosts. Bobo does it.

1395
01:27:10.920 --> 01:27:13.079
<v Speaker 2>Sometimes I do it some other times and most of

1396
01:27:13.079 --> 01:27:15.800
<v Speaker 2>the time we're together, but every time you're here and

1397
01:27:15.840 --> 01:27:18.640
<v Speaker 2>we really really appreciate you listening and join the podcast.

1398
01:27:19.159 --> 01:27:22.319
<v Speaker 2>If you have questions or comments, you can email us.

1399
01:27:22.439 --> 01:27:24.680
<v Speaker 2>Go to Bigfoot and Beyond podcast dot com and push

1400
01:27:24.720 --> 01:27:27.119
<v Speaker 2>the contact button and don't forget about Once a month

1401
01:27:27.199 --> 01:27:29.439
<v Speaker 2>or so, Bobo and I answer your questions. So if

1402
01:27:29.439 --> 01:27:31.920
<v Speaker 2>you want to ask Bobo and I a question about

1403
01:27:31.920 --> 01:27:34.479
<v Speaker 2>anything at all, there are no questions that are off limits.

1404
01:27:35.159 --> 01:27:38.199
<v Speaker 2>You can again go to the website Bigfooted Beyond podcast

1405
01:27:38.239 --> 01:27:41.039
<v Speaker 2>dot com, push the contact button and ask us questions there.

1406
01:27:41.520 --> 01:27:45.039
<v Speaker 2>Thank you very much for listening everyone, and as Bobo says,

1407
01:27:45.439 --> 01:27:53.479
<v Speaker 2>keep it squatchy. Thanks for listening to this week's episode

1408
01:27:53.520 --> 01:27:56.199
<v Speaker 2>of Bigfoot and Beyond. If you liked what you heard,

1409
01:27:56.239 --> 01:27:59.880
<v Speaker 2>please rate and review us on iTunes, subscribe to Bigfoot

1410
01:27:59.880 --> 01:28:02.840
<v Speaker 2>and Beyond wherever you get your podcasts, and follow us

1411
01:28:02.840 --> 01:28:06.960
<v Speaker 2>on Facebook and Instagram at Bigfoot and Beyond podcast. You

1412
01:28:07.000 --> 01:28:10.399
<v Speaker 2>can find us on Twitter at Bigfoot and Beyond that's

1413
01:28:10.439 --> 01:28:13.239
<v Speaker 2>an N in the middle, and tweet us your thoughts

1414
01:28:13.239 --> 01:28:16.840
<v Speaker 2>and questions with the hashtag Bigfoot and Beyond.
