1 00:00:08,600 --> 00:00:21,239 Speaker 1: Body bags with Joseph Scott Morgan alas poor York. I 2 00:00:21,320 --> 00:00:27,080 Speaker 1: knew him, Horatio, a fellow of infinite jest, of most 3 00:00:27,480 --> 00:00:32,199 Speaker 1: excellent fancy. He has borne me on his back a 4 00:00:32,400 --> 00:00:42,120 Speaker 1: thousand times, And now how abandoned in my imagination it is. 5 00:00:43,800 --> 00:00:48,280 Speaker 1: My gorge rises at it. Here hung those lips that 6 00:00:48,360 --> 00:00:52,680 Speaker 1: I have kissed. I know not how oft where be 7 00:00:52,760 --> 00:01:01,040 Speaker 1: your jibes, now your gambles, your songs, their flashes of 8 00:01:01,160 --> 00:01:07,680 Speaker 1: merriment that were wont to set the table on a roar. 9 00:01:12,240 --> 00:01:18,720 Speaker 1: That's the fifth act of Hamlet. That's a seminal moment 10 00:01:19,120 --> 00:01:25,200 Speaker 1: in that play where Prince Hamlet is actually considering the 11 00:01:25,240 --> 00:01:28,679 Speaker 1: skull that has been taken up by one of the 12 00:01:29,040 --> 00:01:33,520 Speaker 1: grave diggers in Hamlet's world, and he's considering it as 13 00:01:33,520 --> 00:01:39,119 Speaker 1: he stares into those empty sockets. It's a moment where 14 00:01:39,200 --> 00:01:45,640 Speaker 1: I think that Hamlet comes to a realization about his 15 00:01:45,800 --> 00:01:48,840 Speaker 1: mortality and the mortality of his family and everybody that's 16 00:01:48,880 --> 00:01:52,480 Speaker 1: around him. And he's also longing for something in the 17 00:01:52,520 --> 00:01:56,960 Speaker 1: past because York was the court jester, he was the 18 00:01:57,000 --> 00:02:04,200 Speaker 1: person that entertained everybody. He's saying old jokes. Today, we're 19 00:02:04,280 --> 00:02:12,360 Speaker 1: going to explore an absolutely fascinating case that involves a 20 00:02:12,400 --> 00:02:21,120 Speaker 1: skull not too dissimilar from York, but a skull also 21 00:02:21,320 --> 00:02:27,040 Speaker 1: that at one point in time in life produced fine sounds. 22 00:02:28,639 --> 00:02:34,120 Speaker 1: It produced musical education for many people that had never 23 00:02:34,160 --> 00:02:40,240 Speaker 1: been trained in music. Today, we're going to have a 24 00:02:40,360 --> 00:02:50,600 Speaker 1: discussion about the discovered skull of Gertrude Elliot little Hell. 25 00:02:50,880 --> 00:02:58,040 Speaker 1: I'm Joseph Scott Morgan and this is Body Bags, Dave. 26 00:02:58,160 --> 00:03:03,000 Speaker 1: I am so excited about this episode. I was of 27 00:03:03,120 --> 00:03:10,560 Speaker 1: recent with my buddy David Middleman of Authorm Labs in 28 00:03:10,600 --> 00:03:14,480 Speaker 1: the Woodlands, Texas, just north of Houston. We visited for 29 00:03:14,560 --> 00:03:18,640 Speaker 1: some time at Crime Con in Nashville and he laid 30 00:03:18,639 --> 00:03:20,600 Speaker 1: this case on me and I had to share it 31 00:03:20,600 --> 00:03:25,720 Speaker 1: with you because you love history as much as I do, 32 00:03:26,760 --> 00:03:33,240 Speaker 1: and you talk about dragging history, kicking and screaming into 33 00:03:33,560 --> 00:03:34,240 Speaker 1: the modern. 34 00:03:35,400 --> 00:03:35,960 Speaker 2: Yeah. 35 00:03:36,040 --> 00:03:40,120 Speaker 1: I don't know of a case like this, certainly that 36 00:03:40,200 --> 00:03:44,080 Speaker 1: we've covered on Body Bags ever, ever, ever, at all. 37 00:03:44,520 --> 00:03:47,520 Speaker 2: Everyone needs to hear this, Joe, Okay, everyone needs to 38 00:03:47,560 --> 00:03:52,640 Speaker 2: know that there was a skull partial remains found in 39 00:03:52,680 --> 00:03:55,920 Speaker 2: a bag in nineteen eighty five on the beach. Actually 40 00:03:55,920 --> 00:03:58,640 Speaker 2: it was on a small little channel island, but we're 41 00:03:58,640 --> 00:04:03,320 Speaker 2: talking Oxnard, calif Oxnard, not in the onion fields, Oxnard 42 00:04:03,480 --> 00:04:06,440 Speaker 2: by the beach in the water, right, a bag of 43 00:04:06,480 --> 00:04:12,240 Speaker 2: bones and the skull is in there. Nineteen eighty five. 44 00:04:13,200 --> 00:04:18,360 Speaker 2: So as police try to identify, Hey, we got a skull, 45 00:04:18,480 --> 00:04:21,160 Speaker 2: it's human. Got to figure out whose it is. So 46 00:04:21,440 --> 00:04:24,800 Speaker 2: nineteen eighty five, you're thinking probably in the last several years, 47 00:04:25,080 --> 00:04:27,480 Speaker 2: you know, it's because how does something end up in 48 00:04:27,520 --> 00:04:30,680 Speaker 2: a bag on the beach, right, And they do their 49 00:04:30,720 --> 00:04:32,760 Speaker 2: normal work that they would do in the mid eighties, 50 00:04:32,880 --> 00:04:34,000 Speaker 2: and they come up. 51 00:04:33,920 --> 00:04:36,760 Speaker 1: With nothing with with the limitations of the eighties. 52 00:04:36,520 --> 00:04:38,440 Speaker 2: Very limited compared to what we have now. 53 00:04:38,560 --> 00:04:39,200 Speaker 1: Yeah, oh boy. 54 00:04:39,480 --> 00:04:42,480 Speaker 2: But at the time they pretty they were feeling pretty 55 00:04:42,520 --> 00:04:44,599 Speaker 2: confident back in the mid eighties that they might be 56 00:04:44,600 --> 00:04:47,520 Speaker 2: able to figure out what's going on here. They didn't, 57 00:04:48,120 --> 00:04:51,880 Speaker 2: and it kind of sat there for a while when 58 00:04:51,920 --> 00:04:56,960 Speaker 2: they didn't have an immediate identification. Well, as the years 59 00:04:57,000 --> 00:04:59,719 Speaker 2: went on, it finally ends up with the National Missing 60 00:04:59,720 --> 00:05:03,599 Speaker 2: and Identified Person System name US. And this is like 61 00:05:03,640 --> 00:05:06,960 Speaker 2: in twenty sixteen. So you've got a skull found in 62 00:05:07,040 --> 00:05:11,560 Speaker 2: nineteen eighty five, cannot identify it, there is no ID. 63 00:05:12,360 --> 00:05:16,400 Speaker 2: But as things have advanced, NamUs has, hey, let's do 64 00:05:16,600 --> 00:05:20,200 Speaker 2: a remodeling, a reimagining of the skull and try to 65 00:05:20,240 --> 00:05:22,360 Speaker 2: put a face on this as somebody can recognize. It 66 00:05:22,400 --> 00:05:24,240 Speaker 2: could be a loved one, somebody they haven't seen in 67 00:05:24,279 --> 00:05:26,039 Speaker 2: a long time. Let's see what we can do. So 68 00:05:26,120 --> 00:05:31,159 Speaker 2: they did, and they did a clay rendering of the 69 00:05:31,320 --> 00:05:33,599 Speaker 2: skull and what it would look like as a face, 70 00:05:34,440 --> 00:05:37,760 Speaker 2: and they took pictures and they circulated it all around. 71 00:05:37,800 --> 00:05:40,880 Speaker 2: I mean, here's this unidentified person, the body found a 72 00:05:40,920 --> 00:05:45,000 Speaker 2: knight or the skull found in nineteen eighty five. Still nothing. 73 00:05:46,000 --> 00:05:49,919 Speaker 2: So Joseph Scott Morgan while we're at crime con says, dude, 74 00:05:50,320 --> 00:05:54,240 Speaker 2: you've got to see this. It's a skull found in 75 00:05:54,320 --> 00:05:57,520 Speaker 2: nineteen caleder ox in the color of Ventura County. Jane 76 00:05:57,560 --> 00:06:01,920 Speaker 2: Doe to Ventura County and he said, you're not going 77 00:06:02,000 --> 00:06:04,600 Speaker 2: to believe this, you know, you just this this goes 78 00:06:04,640 --> 00:06:08,920 Speaker 2: beyond what we know about body bags as a show. 79 00:06:08,960 --> 00:06:11,160 Speaker 2: So and in this particular case, we actually do have 80 00:06:11,640 --> 00:06:14,360 Speaker 2: what's left of a body in a bag. So body 81 00:06:14,400 --> 00:06:20,480 Speaker 2: bags the skull, called Jane Do. And after again nineteen 82 00:06:20,520 --> 00:06:23,600 Speaker 2: eighty five, Joe, and by the way, just so you know, 83 00:06:23,880 --> 00:06:25,560 Speaker 2: when you think, Hey, that was just a mid eighty's 84 00:06:25,600 --> 00:06:30,080 Speaker 2: not that long ago. Well, actually thirty nine years ago. Now, friends, 85 00:06:30,680 --> 00:06:34,240 Speaker 2: if you graduated from high school in nineteen eighty four, yes, 86 00:06:34,480 --> 00:06:37,279 Speaker 2: your fortieth anniversary is this year. Okay, you're red. 87 00:06:38,480 --> 00:06:39,800 Speaker 1: It's around the corner here. 88 00:06:40,000 --> 00:06:42,680 Speaker 2: Your party of three union is happening this summer right 89 00:06:42,720 --> 00:06:46,560 Speaker 2: before fall homecoming football game. Yes, you're old, Margaret, you know. 90 00:06:46,880 --> 00:06:49,120 Speaker 1: Let's let's grind it in there. Hey, I got to 91 00:06:49,160 --> 00:06:55,200 Speaker 1: tell you something when you know I've I've known David 92 00:06:55,320 --> 00:06:57,760 Speaker 1: for a few months now. I actually got to visit 93 00:06:57,880 --> 00:07:00,719 Speaker 1: ofthrom Labs, and I think we've talked about this before, 94 00:07:00,760 --> 00:07:04,719 Speaker 1: but I've got to tell you first off, for those 95 00:07:04,800 --> 00:07:13,000 Speaker 1: that have not met David, he is and I am not. 96 00:07:13,440 --> 00:07:17,320 Speaker 1: I don't think that I am overstepping my assessment here. 97 00:07:19,680 --> 00:07:25,040 Speaker 1: David is arguably, Yeah, I can say this one of 98 00:07:25,040 --> 00:07:27,960 Speaker 1: the brightest people I have ever encountered. And when it 99 00:07:28,000 --> 00:07:31,240 Speaker 1: comes to DNA, Dave, I want you to hear me. Man, 100 00:07:33,360 --> 00:07:37,240 Speaker 1: This man, as far as I'm concerned, is at the 101 00:07:37,280 --> 00:07:42,280 Speaker 1: same the same He's in the same strata as Elon Musk. 102 00:07:43,160 --> 00:07:49,240 Speaker 1: He is that brilliant specific to DNA, and you know 103 00:07:49,320 --> 00:07:52,600 Speaker 1: what and he has got this is a cool thing 104 00:07:52,640 --> 00:07:56,320 Speaker 1: about it. He has got a heart of gold in 105 00:07:56,360 --> 00:08:00,960 Speaker 1: the sense that he understands the power of the tool 106 00:08:01,040 --> 00:08:05,160 Speaker 1: that he wields. And people, there are a lot of 107 00:08:05,200 --> 00:08:07,880 Speaker 1: people out there that say or think of themselves as 108 00:08:08,000 --> 00:08:13,840 Speaker 1: doing good. He is one of these true individuals that 109 00:08:14,120 --> 00:08:18,880 Speaker 1: is an altruist. He is truly an altruist because his 110 00:08:19,040 --> 00:08:25,680 Speaker 1: goal is to get the unidentified identified. It's not simply 111 00:08:25,800 --> 00:08:32,640 Speaker 1: about solving crimes. It is helping people, Dave. And I 112 00:08:32,679 --> 00:08:36,760 Speaker 1: say all that to tell you, as you know, as 113 00:08:36,800 --> 00:08:40,400 Speaker 1: brilliant as David is, when he told me about this case, 114 00:08:40,960 --> 00:08:44,240 Speaker 1: you could see in his eyes they were literally sparkling, 115 00:08:44,640 --> 00:08:50,200 Speaker 1: because so, what are the odds going back all the 116 00:08:50,200 --> 00:08:53,040 Speaker 1: way to nineteen eighty five and then moving forward through 117 00:08:53,080 --> 00:08:57,520 Speaker 1: sixteen and all of the attempts to try to figure 118 00:08:57,520 --> 00:08:58,000 Speaker 1: this thing out. 119 00:08:58,040 --> 00:09:00,120 Speaker 2: Well, and it's kind of interesting to point out, you know, 120 00:09:01,320 --> 00:09:03,480 Speaker 2: just so you guys know, Joe had talked to me 121 00:09:03,520 --> 00:09:07,840 Speaker 2: about David Middleman and authorm and we both have I'm 122 00:09:07,840 --> 00:09:10,200 Speaker 2: familiar with it, probably more than most, but not nearly 123 00:09:10,240 --> 00:09:12,679 Speaker 2: as much as those in the industry, nearly as much 124 00:09:12,720 --> 00:09:14,559 Speaker 2: as you. But I was glad you kind of gave 125 00:09:14,559 --> 00:09:17,760 Speaker 2: me a little background on David Middleman and what kind 126 00:09:17,800 --> 00:09:19,680 Speaker 2: of a person he is, how he thinks, and things 127 00:09:19,720 --> 00:09:23,800 Speaker 2: like that, because if you remember, you guys were talking 128 00:09:23,840 --> 00:09:26,960 Speaker 2: in the VIP room at Crime Con and I'm just 129 00:09:27,520 --> 00:09:29,880 Speaker 2: I'm Dave Mac the radio idiot, you know, I just, hey, 130 00:09:29,920 --> 00:09:31,880 Speaker 2: how you doing good to see give me a hug. 131 00:09:32,280 --> 00:09:35,240 Speaker 2: And that's not David Middleman. If he doesn't know you, 132 00:09:35,360 --> 00:09:37,240 Speaker 2: he's going to look right through you because he doesn't 133 00:09:37,240 --> 00:09:39,520 Speaker 2: have time to mess with idiots, and he could sense 134 00:09:39,640 --> 00:09:42,400 Speaker 2: right away that guy's an idiot, and he just I mean, 135 00:09:42,440 --> 00:09:44,680 Speaker 2: it was like, okay, I'm going to be really polite 136 00:09:44,720 --> 00:09:47,199 Speaker 2: for what I have to endure. Now here's the beauty 137 00:09:47,240 --> 00:09:48,960 Speaker 2: of this. I knew this ahead of time. I knew 138 00:09:48,960 --> 00:09:50,520 Speaker 2: it going in, but I didn't know who it was. 139 00:09:50,559 --> 00:09:52,520 Speaker 2: I never met him before, and you were talking to 140 00:09:52,559 --> 00:09:53,040 Speaker 2: his wife. 141 00:09:53,520 --> 00:09:59,680 Speaker 1: Yeah, Kristen is equally as brilliant. What a oh my gosh, 142 00:09:59,679 --> 00:10:00,680 Speaker 1: what a team man. 143 00:10:00,760 --> 00:10:02,600 Speaker 2: I was so glad you had told me about them, 144 00:10:02,960 --> 00:10:06,080 Speaker 2: because when I realized, like you said, after I bum 145 00:10:06,160 --> 00:10:08,760 Speaker 2: rushed you and realized I just stepped into a really 146 00:10:08,800 --> 00:10:12,280 Speaker 2: intense intellectual conversation that I'm not allowed to partake because 147 00:10:12,280 --> 00:10:15,120 Speaker 2: I'm an idiot, and I realized I'm out numbered here. 148 00:10:15,440 --> 00:10:19,080 Speaker 2: So I realized quickly to get out before I was 149 00:10:19,120 --> 00:10:21,680 Speaker 2: found out, And which was the goal. You know, if 150 00:10:21,720 --> 00:10:23,679 Speaker 2: you're if you don't play on the same field as 151 00:10:23,679 --> 00:10:25,840 Speaker 2: other people, you got two choices. Prove you're an idiot 152 00:10:25,840 --> 00:10:29,160 Speaker 2: and stay there or leave. I grabbed my bagel and 153 00:10:29,200 --> 00:10:33,480 Speaker 2: went on down the road. But having noted that David 154 00:10:33,480 --> 00:10:36,920 Speaker 2: Middleman is that level of brilliance and his wife as well, 155 00:10:36,920 --> 00:10:39,720 Speaker 2: and what they're doing with Authram, believe me when I 156 00:10:39,720 --> 00:10:44,200 Speaker 2: tell you, friends, I thought that it was funded by 157 00:10:44,760 --> 00:10:45,400 Speaker 2: I don't know where. 158 00:10:45,440 --> 00:10:45,760 Speaker 1: I thought. 159 00:10:45,800 --> 00:10:49,080 Speaker 2: I actually thought maybe these types of places like Authorm 160 00:10:49,480 --> 00:10:52,360 Speaker 2: have like funding from I don't know, the unicorn. You 161 00:10:52,400 --> 00:10:54,400 Speaker 2: know that they have like this pot of gold at 162 00:10:54,400 --> 00:10:56,360 Speaker 2: the end of the rainbow, and they just delve into 163 00:10:56,440 --> 00:11:00,240 Speaker 2: it to do these incredible things. The science that they're 164 00:11:00,240 --> 00:11:02,160 Speaker 2: doing and that you know is there's so much science 165 00:11:02,360 --> 00:11:04,640 Speaker 2: that that takes place in the world today that has 166 00:11:04,720 --> 00:11:07,480 Speaker 2: no real world application for you and me. It does 167 00:11:07,520 --> 00:11:11,240 Speaker 2: for science, but not in our daily life. What Authorm 168 00:11:11,280 --> 00:11:16,920 Speaker 2: is doing is they're actually providing answers to people who 169 00:11:16,960 --> 00:11:21,720 Speaker 2: have questions about a loved one, they're actually doing good work, 170 00:11:21,960 --> 00:11:26,520 Speaker 2: they're actually changing lives, they're actually doing things that not 171 00:11:26,600 --> 00:11:30,199 Speaker 2: even that long ago couldn't even have been imagined by 172 00:11:30,240 --> 00:11:32,120 Speaker 2: the best think tank in the world. 173 00:11:32,440 --> 00:11:35,640 Speaker 1: And you're you're up in you're up in that strata. 174 00:11:35,720 --> 00:11:40,120 Speaker 1: I think when you begin to consider this as maybe 175 00:11:40,120 --> 00:11:46,600 Speaker 1: when we were kids and we were watching Star Trek 176 00:11:47,440 --> 00:11:52,000 Speaker 1: and they went into the transporter room and they flipped 177 00:11:52,000 --> 00:11:55,840 Speaker 1: a switch and everybody just kind of kind of disintegrates 178 00:11:55,880 --> 00:11:58,760 Speaker 1: and then reintegrates on the other end, and you think 179 00:11:58,760 --> 00:12:02,360 Speaker 1: that that's that's not possible. And obviously that's not possible 180 00:12:02,520 --> 00:12:03,359 Speaker 1: right now. 181 00:12:04,080 --> 00:12:07,320 Speaker 2: In our minds, he probably already hasn't figured out. 182 00:12:07,480 --> 00:12:12,560 Speaker 1: He probably does. He he is just that brilliant. And look, 183 00:12:12,600 --> 00:12:18,240 Speaker 1: they they have to this point really provided answers. They're 184 00:12:18,360 --> 00:12:23,120 Speaker 1: they're up, they're up the altitude right now, these cases 185 00:12:23,160 --> 00:12:26,600 Speaker 1: that they've provided are in excess of three hundred. But 186 00:12:27,600 --> 00:12:32,280 Speaker 1: when you consider how many of these unidentified bodies out there, 187 00:12:32,520 --> 00:12:36,480 Speaker 1: this is just this is just the start. And the 188 00:12:36,559 --> 00:12:39,679 Speaker 1: reason it kind of really pricks my heart, I think 189 00:12:39,960 --> 00:12:45,760 Speaker 1: is as a former death investigator, a medical legal death investigator, 190 00:12:46,600 --> 00:12:50,880 Speaker 1: Dave I stood over so many remains during the course 191 00:12:50,880 --> 00:12:55,280 Speaker 1: of my career that I had no idea. I had 192 00:12:55,360 --> 00:13:00,640 Speaker 1: no idea who this was. And unfortunately, you know, many 193 00:13:00,679 --> 00:13:04,280 Speaker 1: of the remains went into what we referred to as 194 00:13:04,280 --> 00:13:07,440 Speaker 1: a potter's field where and I've seen it, you know, 195 00:13:07,520 --> 00:13:10,760 Speaker 1: where the ground was trenched out. We would hold onto 196 00:13:10,880 --> 00:13:13,840 Speaker 1: remains as long as we could from a storage standpoint, 197 00:13:13,960 --> 00:13:17,480 Speaker 1: and they'd be mass buried. It was almost it had 198 00:13:17,520 --> 00:13:22,640 Speaker 1: this kind of it was. It was ominous to see it. 199 00:13:22,720 --> 00:13:25,640 Speaker 1: You know, you see images from like war zones where 200 00:13:25,679 --> 00:13:30,240 Speaker 1: people are being buried on masks and that might be 201 00:13:30,280 --> 00:13:33,360 Speaker 1: placed into a bag to have the dead, we'll have 202 00:13:33,520 --> 00:13:37,600 Speaker 1: these aluminum If you have an intact remain, we'll have 203 00:13:37,720 --> 00:13:42,000 Speaker 1: an aluminum idbate bracelet that's put around the wrist, one 204 00:13:42,000 --> 00:13:45,920 Speaker 1: that's put around the ankle, and they're placed into disaster 205 00:13:46,080 --> 00:13:50,160 Speaker 1: poles or body back and they're buried, you know, along 206 00:13:50,400 --> 00:13:53,439 Speaker 1: along the link of this trench. I've seen that actually happen. 207 00:13:53,480 --> 00:13:56,400 Speaker 1: I've borne witness to it, and it's the saddest thing. 208 00:13:56,720 --> 00:13:59,200 Speaker 1: And so many of these people, I thought, if I 209 00:13:59,240 --> 00:14:03,400 Speaker 1: could have just had answers. I actually had a discussion 210 00:14:03,480 --> 00:14:08,320 Speaker 1: with somebody a number of years ago that was working 211 00:14:08,520 --> 00:14:12,760 Speaker 1: at AFIP which back then was it. It doesn't exist 212 00:14:12,800 --> 00:14:15,000 Speaker 1: in the current format, but it's the Armed Forces Institute 213 00:14:15,000 --> 00:14:18,280 Speaker 1: of Pathology, you know, what they told me to I 214 00:14:18,320 --> 00:14:22,160 Speaker 1: was amazed by this. Did you know that we had 215 00:14:22,200 --> 00:14:26,920 Speaker 1: so many unidentified dead in the Civil War that a 216 00:14:27,000 --> 00:14:33,480 Speaker 1: lot of those skeletal remains were collected And to this day, 217 00:14:33,800 --> 00:14:38,680 Speaker 1: many of those remains remain in cardboard boxes and their 218 00:14:38,720 --> 00:14:43,720 Speaker 1: own shelves in DC and they can't they can't. The 219 00:14:43,760 --> 00:14:46,720 Speaker 1: story was, they will hold on to them for as 220 00:14:46,760 --> 00:14:50,640 Speaker 1: long as they can because they can't give these individuals 221 00:14:50,680 --> 00:14:54,360 Speaker 1: proper military burials. And I was fascinated by that, you know, 222 00:14:54,400 --> 00:14:57,560 Speaker 1: because there's a lot of unknown soldier graves out there 223 00:14:57,600 --> 00:14:59,040 Speaker 1: and all that sort of thing. And I was thinking, 224 00:14:59,360 --> 00:15:02,840 Speaker 1: in my wild the dreams, I was thinking, why wouldn't 225 00:15:02,880 --> 00:15:07,240 Speaker 1: that be something if if you could take technology like 226 00:15:07,280 --> 00:15:12,160 Speaker 1: this and apply it genetically to these unidentified remains that 227 00:15:14,040 --> 00:15:17,880 Speaker 1: we're holding right now and find maybe there's there's a 228 00:15:17,960 --> 00:15:20,880 Speaker 1: lineage there that you could trace down and try to determine. 229 00:15:21,040 --> 00:15:23,440 Speaker 1: You know, my family, my family as a result of 230 00:15:23,480 --> 00:15:29,440 Speaker 1: Civil War. I have two ancestors that never returned and 231 00:15:29,480 --> 00:15:32,800 Speaker 1: they never knew what happened to them, and so for me. 232 00:15:33,160 --> 00:15:35,040 Speaker 1: You know, I began to think about this, and then 233 00:15:35,080 --> 00:15:38,480 Speaker 1: I think about Gertrude. Don't you love that name? 234 00:15:38,680 --> 00:15:39,480 Speaker 2: It's a great name. 235 00:15:39,720 --> 00:15:42,600 Speaker 1: It is a great name. I began to think about Gertrude. 236 00:15:43,200 --> 00:15:45,680 Speaker 2: By the way, Gertrude is the name of the venture 237 00:15:45,800 --> 00:15:48,240 Speaker 2: county Jane. Do yeah mentioned your name yet? 238 00:15:48,400 --> 00:15:54,040 Speaker 1: And the fascinating thing about it is that Gertrude was 239 00:15:54,120 --> 00:15:59,640 Speaker 1: born in eighteen sixty four. The Civil War back East 240 00:16:01,000 --> 00:16:04,880 Speaker 1: was still raging. There were people dying and being killed 241 00:16:04,880 --> 00:16:10,880 Speaker 1: by the bushel. But today today we finally have some 242 00:16:11,000 --> 00:16:33,480 Speaker 1: answers about an incredible mystery. Dave, I have to make 243 00:16:33,520 --> 00:16:38,320 Speaker 1: a confession. I love old names. Well, I've got a 244 00:16:38,320 --> 00:16:43,520 Speaker 1: lot of them in my family. My grandmother, who I 245 00:16:43,600 --> 00:16:48,160 Speaker 1: referenced on this program multiple times, one of the sweetest 246 00:16:48,160 --> 00:16:50,480 Speaker 1: souls that ever walked the face of the planet, as 247 00:16:50,480 --> 00:16:55,640 Speaker 1: far as I'm concerned. She had I guess, I don't 248 00:16:55,640 --> 00:16:58,200 Speaker 1: know what it be called an antique name. It was 249 00:16:58,320 --> 00:17:01,640 Speaker 1: it was her Her name was Pearl. I had an 250 00:17:01,680 --> 00:17:06,679 Speaker 1: aunt named Roxy Unice. I'm not too particularly fond of 251 00:17:06,720 --> 00:17:13,240 Speaker 1: that Unice myrtle Wanita, which still is used today. And 252 00:17:13,280 --> 00:17:17,120 Speaker 1: then I've had Rubies and all kinds of these interesting 253 00:17:17,240 --> 00:17:17,840 Speaker 1: names that they. 254 00:17:17,800 --> 00:17:19,960 Speaker 2: Use, all the characters used in a Jim Croche song. 255 00:17:21,119 --> 00:17:24,359 Speaker 1: Yeah, exactly, and they go back years and years. But 256 00:17:25,040 --> 00:17:33,679 Speaker 1: you know, the subject of today's episode led this remarkable 257 00:17:33,800 --> 00:17:37,399 Speaker 1: life for a woman that was born right in the 258 00:17:37,440 --> 00:17:43,600 Speaker 1: heart of the Victorian era here in the US, born 259 00:17:43,640 --> 00:17:47,520 Speaker 1: actually in Stockton, California. 260 00:17:47,000 --> 00:17:52,520 Speaker 2: Day And you know, when we look at Ventura County 261 00:17:53,080 --> 00:17:57,280 Speaker 2: Jane Do, her skull found in nineteen eighty five in 262 00:17:57,359 --> 00:18:03,760 Speaker 2: a bag. When it was first discovered and turned into police, 263 00:18:03,800 --> 00:18:07,639 Speaker 2: they thought that maybe we're investigating a murder. You know, 264 00:18:07,680 --> 00:18:10,679 Speaker 2: maybe this is somebody who has been recently killed and 265 00:18:10,760 --> 00:18:14,240 Speaker 2: somebody stashed the body. There's all kinds of things police 266 00:18:14,280 --> 00:18:17,480 Speaker 2: are looking at. But as they started investigating, they couldn't 267 00:18:17,520 --> 00:18:20,240 Speaker 2: find anything that fit. And again, this is nineteen eighty five, 268 00:18:20,280 --> 00:18:22,920 Speaker 2: and as we mentioned earlier, it took years to get 269 00:18:22,960 --> 00:18:26,640 Speaker 2: to the point where they could identify who this person was. So, Joe, 270 00:18:26,960 --> 00:18:29,080 Speaker 2: how is it possible that I find a skull in 271 00:18:29,160 --> 00:18:33,120 Speaker 2: nineteen eighty five and you're telling me that this Ventura 272 00:18:33,200 --> 00:18:36,280 Speaker 2: County Jane Do is a woman named Gertrude and that 273 00:18:36,320 --> 00:18:40,199 Speaker 2: she was born during the Civil War. How do we 274 00:18:40,280 --> 00:18:44,920 Speaker 2: go from nineteen eighty five to eighteen sixty four, And 275 00:18:44,960 --> 00:18:47,320 Speaker 2: I have you said nineteen sixty four, I was like, okay, 276 00:18:47,400 --> 00:18:50,359 Speaker 2: twenty one year old female, Okay, I got that. But 277 00:18:50,480 --> 00:18:53,040 Speaker 2: now we're talking one hundred and twenty one years old. 278 00:18:54,320 --> 00:18:58,200 Speaker 1: Yeah, isn't that quite something? And you know there was 279 00:18:58,240 --> 00:19:02,359 Speaker 1: an effort made back then to run through the normal 280 00:19:02,480 --> 00:19:05,119 Speaker 1: course of an investigation. Whenever you find a skull? 281 00:19:05,600 --> 00:19:08,159 Speaker 2: What is that normal thing, Joe? What happens if today? 282 00:19:08,480 --> 00:19:10,640 Speaker 2: If today, while I'm in the woods next door, walking 283 00:19:10,640 --> 00:19:13,240 Speaker 2: around with my grandson, and I find let's say a 284 00:19:13,240 --> 00:19:15,720 Speaker 2: partial skelet Let's say I find a skull in a 285 00:19:15,760 --> 00:19:18,919 Speaker 2: bag out in my forest right here, right, And I mean, 286 00:19:18,960 --> 00:19:21,680 Speaker 2: I'm alvious. I'm going to call somebody. I guess I'm 287 00:19:21,720 --> 00:19:25,159 Speaker 2: not calling Ghostbusters. I'm going to call the county. 288 00:19:24,920 --> 00:19:27,720 Speaker 1: And hey, you're going to punch in non Actually i'd. 289 00:19:27,520 --> 00:19:29,640 Speaker 2: Be calling you and James Shellna. Those are my first 290 00:19:29,640 --> 00:19:30,200 Speaker 2: two calls. 291 00:19:31,560 --> 00:19:35,000 Speaker 1: Don't call me, please, Joe? What do? What do I do? 292 00:19:35,520 --> 00:19:36,360 Speaker 2: Have a dead body here? 293 00:19:36,400 --> 00:19:39,639 Speaker 1: Call me and get a recommendation. My right, My My 294 00:19:39,720 --> 00:19:43,080 Speaker 1: recommendation will be three digits, not one one. And that's it. 295 00:19:43,200 --> 00:19:45,399 Speaker 2: I call Nancy Gracio day. You need an attorney, get 296 00:19:45,440 --> 00:19:45,840 Speaker 2: one now. 297 00:19:47,359 --> 00:19:51,000 Speaker 1: Uh yeah. So if you if you do find a 298 00:19:51,640 --> 00:19:55,159 Speaker 1: h even any element of what you believe is a human, 299 00:19:55,840 --> 00:20:00,199 Speaker 1: a human sculptor, remain the most important thing you can do, 300 00:20:00,600 --> 00:20:03,560 Speaker 1: even if it turns out because the lines share people 301 00:20:03,560 --> 00:20:07,920 Speaker 1: that find a skeletal remain I've had this happen are 302 00:20:07,960 --> 00:20:11,040 Speaker 1: not finding human remains most of the time. It's amazing. 303 00:20:11,080 --> 00:20:14,159 Speaker 1: It seems like the most of the remains that I 304 00:20:14,160 --> 00:20:17,760 Speaker 1: would have people show up to the medical examiner's office 305 00:20:17,800 --> 00:20:20,280 Speaker 1: with or I would be summoned out on turned out 306 00:20:20,320 --> 00:20:26,040 Speaker 1: to be hog bones most of the time. And hog yeah, 307 00:20:26,080 --> 00:20:30,040 Speaker 1: some type of pig that had been barbecued and they 308 00:20:30,080 --> 00:20:36,000 Speaker 1: had been they'd been tossed away. You know. It's yeah, 309 00:20:36,000 --> 00:20:40,360 Speaker 1: I know, it's it's one of those things where you're 310 00:20:40,440 --> 00:20:42,760 Speaker 1: generally not going to come across it. You know, who 311 00:20:42,760 --> 00:20:47,920 Speaker 1: finds more human remains than humans are dogs, and this 312 00:20:48,040 --> 00:20:52,560 Speaker 1: happens a lot. Dogs love dogs love skulls, and they 313 00:20:52,600 --> 00:20:55,479 Speaker 1: will pick up a skull. I cannot tell you how 314 00:20:55,520 --> 00:20:58,280 Speaker 1: many of these cases I've got, some actually as morbid 315 00:20:58,320 --> 00:21:02,920 Speaker 1: as it is, some kind of humor stories behind these 316 00:21:03,080 --> 00:21:06,640 Speaker 1: these events. But I would have families that would say, 317 00:21:06,720 --> 00:21:08,560 Speaker 1: oh my god, I looked out in the yard and 318 00:21:09,240 --> 00:21:14,720 Speaker 1: you know, uh, you know, Fido is playing with a skull. 319 00:21:15,680 --> 00:21:18,040 Speaker 1: Can you imagine this? Well, what does a skull look like? Well, 320 00:21:18,040 --> 00:21:21,920 Speaker 1: to a dog, first off, it looks like a ball. 321 00:21:22,000 --> 00:21:23,720 Speaker 1: Have you ever seen a dog take a ball and 322 00:21:23,720 --> 00:21:26,000 Speaker 1: put it between their paws and play with it and 323 00:21:26,040 --> 00:21:29,920 Speaker 1: that sort of thing. And also secondarily, they're at a 324 00:21:30,440 --> 00:21:33,040 Speaker 1: you know, at a very base level, they're seeking protein. 325 00:21:33,240 --> 00:21:37,240 Speaker 1: That's what that's what carnivores do. Uh. They want to 326 00:21:37,240 --> 00:21:39,880 Speaker 1: bite into that bone, and they'll gnaw on these bones. 327 00:21:40,000 --> 00:21:42,639 Speaker 1: And they've got these you know, skulls have real weird 328 00:21:43,400 --> 00:21:46,639 Speaker 1: kind of angles, uh, and they will wrap their paws 329 00:21:46,680 --> 00:21:49,760 Speaker 1: around them and begin to gnaw on bones. So this 330 00:21:49,920 --> 00:21:53,159 Speaker 1: is not unusual. But this is not the case with 331 00:21:53,280 --> 00:21:57,040 Speaker 1: Gertrude remains. You actually find them in a back and 332 00:21:57,680 --> 00:22:03,480 Speaker 1: that that goes to proof that first off, some other 333 00:22:03,600 --> 00:22:07,520 Speaker 1: human has handled this item, because skulls just don't wind 334 00:22:07,600 --> 00:22:10,760 Speaker 1: up in a bag, all right, particularly in a modern 335 00:22:10,840 --> 00:22:15,600 Speaker 1: context like this, and it's tossed away. So when we 336 00:22:15,640 --> 00:22:17,840 Speaker 1: would go to a scene, if we had a single 337 00:22:17,880 --> 00:22:21,800 Speaker 1: skeletal element, we have to work on the assumption that 338 00:22:21,840 --> 00:22:25,800 Speaker 1: there are other remains around there, and you go to 339 00:22:25,920 --> 00:22:30,480 Speaker 1: where that skull is located, that is essentially ground zero, 340 00:22:30,600 --> 00:22:36,080 Speaker 1: and everything else radiates out from that where you're searching 341 00:22:36,359 --> 00:22:40,720 Speaker 1: this entire area for any other skeletal remains, because look, 342 00:22:40,760 --> 00:22:43,960 Speaker 1: you've got a human skull. Why do you have a 343 00:22:44,040 --> 00:22:48,159 Speaker 1: human skull? Why is it not buried somewhere or in 344 00:22:48,320 --> 00:22:51,119 Speaker 1: case somewhere, Why is it not in a mausoleum, or 345 00:22:51,200 --> 00:22:54,680 Speaker 1: why is it not in a coffin six feet under? 346 00:22:55,320 --> 00:22:59,240 Speaker 1: So you have major questions and it's a horrific thing 347 00:22:59,359 --> 00:23:04,679 Speaker 1: to come across, obviously, but for a forensic scientist, it's 348 00:23:05,080 --> 00:23:05,959 Speaker 1: very intriguing. 349 00:23:06,960 --> 00:23:09,399 Speaker 2: Joe, how do you get to that point with where 350 00:23:09,400 --> 00:23:14,080 Speaker 2: you have a skull and you actually do start the 351 00:23:14,119 --> 00:23:17,280 Speaker 2: identification process as they did in nineteen eighty five finding 352 00:23:17,280 --> 00:23:20,320 Speaker 2: a skull in a bag, the normal process? What would 353 00:23:20,359 --> 00:23:26,120 Speaker 2: it be because not everybody a lot. It costs money 354 00:23:26,240 --> 00:23:28,720 Speaker 2: to go and do a lot of the DNA testing, 355 00:23:28,960 --> 00:23:31,399 Speaker 2: and this is beyond that because you are dealing with 356 00:23:31,400 --> 00:23:33,680 Speaker 2: a skull, you're not dealing with the whole body. Yeah, 357 00:23:34,280 --> 00:23:35,040 Speaker 2: where does you begin? 358 00:23:35,400 --> 00:23:39,320 Speaker 1: Well, okay, let's go back to nineteen eighty five. We're 359 00:23:39,359 --> 00:23:43,800 Speaker 1: just in the wake of Sir Alec Jeffrey, who was 360 00:23:43,840 --> 00:23:47,280 Speaker 1: the first person to actually apply in a real sense 361 00:23:49,560 --> 00:23:54,280 Speaker 1: DNA technology DNA science to crom science. Okay, so that's 362 00:23:54,320 --> 00:23:57,920 Speaker 1: where that kind of so we're literally, you know, kind 363 00:23:57,920 --> 00:24:01,119 Speaker 1: of in the immediate wake of that nineteen eighty five. 364 00:24:01,359 --> 00:24:05,239 Speaker 1: This is still brand new technology and it had not 365 00:24:06,200 --> 00:24:09,159 Speaker 1: it had not kind of filtered down. And Sir Alex 366 00:24:09,280 --> 00:24:12,240 Speaker 1: is actually a bread So that's where it was first used. 367 00:24:12,280 --> 00:24:16,280 Speaker 1: And so it's you. It hasn't made it. I'll put 368 00:24:16,280 --> 00:24:18,080 Speaker 1: it to this way. It hasn't made it at stock 369 00:24:18,119 --> 00:24:22,160 Speaker 1: in California at this point in time and nineteen eighty five, 370 00:24:22,240 --> 00:24:25,040 Speaker 1: So what we would have done back then is first 371 00:24:25,080 --> 00:24:26,560 Speaker 1: thing you do, you're going to reach out to a 372 00:24:26,560 --> 00:24:31,440 Speaker 1: forensic anthropologist and they're to this is what they're going 373 00:24:31,480 --> 00:24:34,719 Speaker 1: to do. They're going to race, they're going to sex, 374 00:24:36,080 --> 00:24:40,639 Speaker 1: they're going to age and assess for any kind of 375 00:24:40,640 --> 00:24:43,399 Speaker 1: trauma that skull. That's what they're going to do. So 376 00:24:43,440 --> 00:24:48,400 Speaker 1: they're going to try to just visually because races are 377 00:24:48,440 --> 00:24:52,800 Speaker 1: different and the morphology of their skulls, there are certain 378 00:24:52,880 --> 00:24:58,160 Speaker 1: markers that anthropologists look for. They're not as distinct as 379 00:24:58,200 --> 00:25:02,159 Speaker 1: they used to be because you have a lot of 380 00:25:02,359 --> 00:25:06,480 Speaker 1: genetic overlap nowadays as opposed in the past where there 381 00:25:06,520 --> 00:25:09,520 Speaker 1: was this kind of separation. So it's kind of a 382 00:25:09,600 --> 00:25:16,160 Speaker 1: finer science. Now you have this idea of sex, and 383 00:25:16,760 --> 00:25:21,160 Speaker 1: sex again is one of these things that's I guess 384 00:25:21,200 --> 00:25:24,040 Speaker 1: some people could say that it is kind of subjective, 385 00:25:24,280 --> 00:25:28,120 Speaker 1: but there's a lot of considerations that anthropologists run through 386 00:25:28,160 --> 00:25:30,840 Speaker 1: this list of things where these markers that they're looking 387 00:25:30,880 --> 00:25:34,000 Speaker 1: for that would give you an indication of a skull 388 00:25:34,080 --> 00:25:39,000 Speaker 1: and in determination of gender with a skull, what we're 389 00:25:39,080 --> 00:25:42,160 Speaker 1: looking for in that sense. And I love these terms 390 00:25:42,280 --> 00:25:48,680 Speaker 1: that anthropologists used. That we use the term robust when 391 00:25:48,720 --> 00:25:52,000 Speaker 1: referring to a male skull. And here's a term that 392 00:25:52,080 --> 00:25:56,720 Speaker 1: not everybody hears on a regular basis when it comes 393 00:25:56,720 --> 00:26:00,479 Speaker 1: to female skulls, that we use the term grassisle and 394 00:26:00,560 --> 00:26:05,000 Speaker 1: grass isle actually means fine. You know, like you and 395 00:26:05,040 --> 00:26:07,719 Speaker 1: I we you and I have these kind of protuberant 396 00:26:07,800 --> 00:26:11,119 Speaker 1: brow lines, you know, as males kind of robust up here, 397 00:26:11,560 --> 00:26:15,520 Speaker 1: the bony prominence on the back of our skull, the excipitable, uh, 398 00:26:16,320 --> 00:26:19,760 Speaker 1: protuberance that's back there. They're kind of they're there, you know, 399 00:26:19,800 --> 00:26:23,919 Speaker 1: you can see it. You know, you know where you know, uh, 400 00:26:24,640 --> 00:26:30,359 Speaker 1: we're that way. Whereas a female skull that would come 401 00:26:30,400 --> 00:26:36,000 Speaker 1: from similar races, that similar ages, is going to have 402 00:26:36,200 --> 00:26:38,720 Speaker 1: a finer appearance to it. So you'll have this kind 403 00:26:38,760 --> 00:26:42,280 Speaker 1: of grass ale nature that's not robust, you know, like 404 00:26:42,320 --> 00:26:45,160 Speaker 1: a male skull, it's going to be a bit finer. 405 00:26:45,240 --> 00:26:47,679 Speaker 1: And so that's that's one of the things that they 406 00:26:47,720 --> 00:26:49,560 Speaker 1: would have done back then. And then they're going to 407 00:26:49,640 --> 00:26:53,840 Speaker 1: look at age, age at the time of death. So 408 00:26:54,880 --> 00:26:57,480 Speaker 1: let's see, how can we describe this. One of the 409 00:26:57,480 --> 00:27:00,199 Speaker 1: first things that you look for if their teeth. You 410 00:27:00,240 --> 00:27:03,320 Speaker 1: look for wear patterns in the teeth. You know, you 411 00:27:03,359 --> 00:27:05,840 Speaker 1: can determine what side of the mouth somebody chews on, 412 00:27:05,920 --> 00:27:09,560 Speaker 1: for instance, And I ask my kids at Jacksonville State 413 00:27:09,640 --> 00:27:12,000 Speaker 1: all the time when I'm teaching, I do it. I 414 00:27:12,160 --> 00:27:15,320 Speaker 1: teach a class called Clandestine Graves and it's a blend 415 00:27:15,359 --> 00:27:21,080 Speaker 1: of obviously clandestine burials, but also forensic anthropology and also osteology. 416 00:27:21,119 --> 00:27:23,280 Speaker 1: And I'll ask them, okay, everybody, take the tip of 417 00:27:23,320 --> 00:27:25,280 Speaker 1: your tongue and run it along the surface of your 418 00:27:25,320 --> 00:27:28,399 Speaker 1: teeth right now, can you determine which side of the 419 00:27:28,520 --> 00:27:32,920 Speaker 1: mouth your mouth you dependently chew chew with and most 420 00:27:33,000 --> 00:27:35,359 Speaker 1: people are right, they chew on the right side, and 421 00:27:35,400 --> 00:27:37,680 Speaker 1: so the wear pattern on the teeth will be worn 422 00:27:37,760 --> 00:27:40,240 Speaker 1: down more on that side as opposed to the left. Now, 423 00:27:40,280 --> 00:27:43,480 Speaker 1: as we get older, teeth begin to wear down. That's 424 00:27:43,480 --> 00:27:48,439 Speaker 1: one of the ways we age age skulls. Also, where 425 00:27:47,680 --> 00:27:51,800 Speaker 1: our sutures fuse together at the top of our head. 426 00:27:52,119 --> 00:27:54,280 Speaker 1: You know, you think about the font andels that babies 427 00:27:54,280 --> 00:27:57,800 Speaker 1: the soft spots. You've got one that's antiar and posterior 428 00:27:57,920 --> 00:28:01,600 Speaker 1: front in the back well that fuse together. And you know, Dave, 429 00:28:01,680 --> 00:28:04,959 Speaker 1: after a period of time, those little lines that you 430 00:28:05,000 --> 00:28:07,800 Speaker 1: see any kind of skull that you see, like there'll 431 00:28:07,840 --> 00:28:10,480 Speaker 1: be a model of it, like at Halloween. You know, 432 00:28:10,920 --> 00:28:12,440 Speaker 1: you can see the skull and they have these little 433 00:28:12,480 --> 00:28:15,760 Speaker 1: lines on those are those are suture lines. That's what 434 00:28:15,760 --> 00:28:17,880 Speaker 1: they're referred to as, and it's where the skull kind 435 00:28:17,880 --> 00:28:21,119 Speaker 1: of locks together. All over a period of time through life, 436 00:28:22,119 --> 00:28:25,800 Speaker 1: those areas begin to wear down and you actually have 437 00:28:25,880 --> 00:28:29,800 Speaker 1: something that's referred to as suture line of bliteration. So 438 00:28:29,880 --> 00:28:33,440 Speaker 1: the more that those are worn down, the more that 439 00:28:33,440 --> 00:28:36,119 Speaker 1: those are worn down, you know, the older the person is. 440 00:28:36,480 --> 00:28:38,200 Speaker 1: You've even got them on the roof of your mouth. 441 00:28:38,240 --> 00:28:41,240 Speaker 1: I did a study at one point Tom on what 442 00:28:41,360 --> 00:28:48,600 Speaker 1: was it called palatine suture line obliteration, and I presented 443 00:28:48,640 --> 00:28:53,240 Speaker 1: a paper or talk. When Tom and your palaton suture 444 00:28:53,720 --> 00:28:55,840 Speaker 1: that's that's in the roof of your mouth, what would 445 00:28:55,880 --> 00:28:58,720 Speaker 1: commonly be you You actually have suture lines in the 446 00:28:58,800 --> 00:29:02,400 Speaker 1: roof of your mouth, just chewing your mouth moving all 447 00:29:02,440 --> 00:29:05,320 Speaker 1: these years. And it seems very subtle in life. But 448 00:29:05,360 --> 00:29:07,560 Speaker 1: there's where I mean, if you just take if you 449 00:29:07,600 --> 00:29:10,960 Speaker 1: grab a handful of your hair, or pressure your fingers 450 00:29:11,000 --> 00:29:13,960 Speaker 1: down onto your scalp and move it back and forth, 451 00:29:14,640 --> 00:29:18,360 Speaker 1: that seems very passive. But just imagine how many times 452 00:29:18,440 --> 00:29:21,360 Speaker 1: you smile, you frown, you raise your eyebrows over the 453 00:29:21,400 --> 00:29:27,560 Speaker 1: course of your life, the suture lines begin to wear. Okay, 454 00:29:28,000 --> 00:29:32,280 Speaker 1: So back then in nineteen eighty five, that's one of 455 00:29:32,320 --> 00:29:36,480 Speaker 1: the things that that's really the singular tool that they 456 00:29:36,480 --> 00:29:39,640 Speaker 1: would have had to have worked with. And I can 457 00:29:39,760 --> 00:29:43,520 Speaker 1: almost predict what had happened at Ventura County at the 458 00:29:43,520 --> 00:29:48,440 Speaker 1: Medical Examiner's office. Dave that skull had been sitting on 459 00:29:48,480 --> 00:29:53,360 Speaker 1: a shelf, and they probably convened a committee at the 460 00:29:53,400 --> 00:29:57,080 Speaker 1: Medical Examiner's office, and you know, a few years later, Look, 461 00:29:57,120 --> 00:30:00,600 Speaker 1: we've had how many how many you know, hey, hey folks, 462 00:30:00,680 --> 00:30:03,040 Speaker 1: how many unidentified remains do we have? And they've got 463 00:30:03,040 --> 00:30:05,040 Speaker 1: a log of them, trust me, and they'll go through 464 00:30:05,040 --> 00:30:06,880 Speaker 1: it and say, oh wow, this is the oldest. Let's 465 00:30:06,880 --> 00:30:08,680 Speaker 1: see if we can dig into this a little bit. 466 00:30:09,160 --> 00:30:13,160 Speaker 1: Now it's twenty sixteen, all these years later, let's see 467 00:30:13,200 --> 00:30:18,120 Speaker 1: if technology will reveal anything. The problem is is that 468 00:30:18,200 --> 00:30:21,440 Speaker 1: when they first started, I might catch him flag for this, 469 00:30:21,640 --> 00:30:27,440 Speaker 1: but I don't really care. The clay modeling. Now, I 470 00:30:27,480 --> 00:30:32,000 Speaker 1: don't have much of an artistic eye, but it's rare 471 00:30:32,080 --> 00:30:35,600 Speaker 1: that I will see a clay model rendering that looks 472 00:30:35,680 --> 00:30:39,600 Speaker 1: spot on to anybody. But here's the rope with this 473 00:30:39,680 --> 00:30:46,600 Speaker 1: as well. That clay model that they were trying to 474 00:30:46,640 --> 00:30:52,000 Speaker 1: breathe life back into that person had been dead for 475 00:30:52,120 --> 00:31:12,800 Speaker 1: over a century. I think that what many people might 476 00:31:12,840 --> 00:31:16,080 Speaker 1: not know about Dave and I we both love old movies. 477 00:31:16,160 --> 00:31:23,040 Speaker 1: Particularly We're always throwing lines from from mel Brooks movies 478 00:31:23,080 --> 00:31:25,720 Speaker 1: back and forth at one another. And I think I 479 00:31:25,760 --> 00:31:28,280 Speaker 1: can speak for you, Dave. One of your favorites is, 480 00:31:29,080 --> 00:31:34,320 Speaker 1: as is mine, is young Frankenstein or frankf. Einstein. There 481 00:31:34,320 --> 00:31:37,560 Speaker 1: you are an igor and you know, one of the 482 00:31:37,920 --> 00:31:43,000 Speaker 1: one of the essential pieces to that hilarious movie is 483 00:31:43,000 --> 00:31:49,600 Speaker 1: that they're trying to create the Frankenstein monster and grave 484 00:31:49,680 --> 00:31:53,760 Speaker 1: robbery is involved in that. And isn't there some indication 485 00:31:53,920 --> 00:31:56,960 Speaker 1: that that's what's involved case. 486 00:31:56,920 --> 00:32:00,120 Speaker 2: In this case? Look, you have a skull fan in 487 00:32:00,120 --> 00:32:02,880 Speaker 2: a back in nineteen eighty five. It takes twenty one 488 00:32:02,920 --> 00:32:05,440 Speaker 2: years before they can even do the clay, had, you know, 489 00:32:05,840 --> 00:32:09,040 Speaker 2: the reimagining of what this person may have looked like. 490 00:32:09,600 --> 00:32:13,480 Speaker 2: And twenty one years from the time the skull is found, 491 00:32:13,480 --> 00:32:17,240 Speaker 2: and that's all they really have. And it took a tip. 492 00:32:17,200 --> 00:32:20,040 Speaker 1: When it comes to Gertrude. They did have a lead 493 00:32:20,200 --> 00:32:21,800 Speaker 1: on grave robbers, didn't they. 494 00:32:22,080 --> 00:32:23,280 Speaker 2: And that was the tip. I think that was a 495 00:32:23,320 --> 00:32:26,480 Speaker 2: tip that was called in And ultimately once they realized 496 00:32:26,520 --> 00:32:30,040 Speaker 2: they were dealing with somebody not of you know, not 497 00:32:30,200 --> 00:32:32,520 Speaker 2: recent and I think it opened them up because, like 498 00:32:32,560 --> 00:32:34,520 Speaker 2: I said, the clay, the whole idea of doing the 499 00:32:34,520 --> 00:32:39,480 Speaker 2: clay in twenty sixteen was hoping somebody would recognize this person. 500 00:32:39,920 --> 00:32:43,760 Speaker 2: And it's at the age that they think that the 501 00:32:43,800 --> 00:32:48,120 Speaker 2: person died and does anybody is this your daughter, your mom, 502 00:32:48,240 --> 00:32:52,520 Speaker 2: your aunt, whatever, Assuming it was a contemporary skull. But 503 00:32:52,640 --> 00:32:55,200 Speaker 2: then they did get a tip and that opened them 504 00:32:55,280 --> 00:32:57,080 Speaker 2: up to okay, now we got to really look. But 505 00:32:57,320 --> 00:33:00,560 Speaker 2: they had to go the DNA route, and it was 506 00:33:00,840 --> 00:33:04,360 Speaker 2: this is what really fascinates me. It's the DNA that 507 00:33:04,400 --> 00:33:07,360 Speaker 2: we hear about all the time solving crimes, but in 508 00:33:07,400 --> 00:33:11,760 Speaker 2: this case, it's not just the DNA, because the investigators 509 00:33:11,800 --> 00:33:14,280 Speaker 2: had to take the information they were getting back about 510 00:33:14,320 --> 00:33:17,320 Speaker 2: the DNA and then tracing it back, they had to 511 00:33:17,360 --> 00:33:20,720 Speaker 2: find something in compare it to yes, we have DNA 512 00:33:20,800 --> 00:33:24,680 Speaker 2: out of this skull, but it doesn't mean anything unless 513 00:33:24,720 --> 00:33:28,080 Speaker 2: somebody else has either put something up that could be found, 514 00:33:28,160 --> 00:33:30,600 Speaker 2: you know, twenty three ande meters or whatever. I mean, 515 00:33:30,680 --> 00:33:34,160 Speaker 2: there are so many things that are not happening for 516 00:33:34,360 --> 00:33:37,680 Speaker 2: every person on planet Earth. Where do you go? So 517 00:33:38,280 --> 00:33:43,120 Speaker 2: they end up having to go to Authorm. And the 518 00:33:43,160 --> 00:33:45,640 Speaker 2: part that bothers me, Joe, and I really mean this 519 00:33:46,640 --> 00:33:51,080 Speaker 2: that Authorm has to crowdfund if it's like or I do, 520 00:33:51,400 --> 00:33:53,719 Speaker 2: if it's my relative, if it's something I'm working on 521 00:33:54,240 --> 00:33:56,480 Speaker 2: that they don't have. And I did think that there 522 00:33:56,600 --> 00:33:59,040 Speaker 2: was for some reason. You know, we hear so many, 523 00:33:59,800 --> 00:34:02,760 Speaker 2: so many people of great wealth that donate money to 524 00:34:02,840 --> 00:34:05,920 Speaker 2: worthy causes, and I'm thinking this is something that should 525 00:34:05,960 --> 00:34:09,160 Speaker 2: be so funded. These people should these are the first 526 00:34:09,200 --> 00:34:12,399 Speaker 2: people on planet Earth that should have flying cars. That's 527 00:34:12,440 --> 00:34:15,320 Speaker 2: the kind of work they're doing. You know, they have 528 00:34:15,400 --> 00:34:16,520 Speaker 2: everything and they don't. 529 00:34:16,719 --> 00:34:18,880 Speaker 1: Yeah, I know, and you want to you want to 530 00:34:18,920 --> 00:34:21,879 Speaker 1: try to aid with this as much as you can. 531 00:34:22,040 --> 00:34:26,360 Speaker 1: And but you know, that's that's the beauty of what 532 00:34:26,600 --> 00:34:32,439 Speaker 1: AUTHRM has developed. David. David has a very specific methodology 533 00:34:32,520 --> 00:34:36,560 Speaker 1: that he has developed over and I urge everybody to 534 00:34:36,640 --> 00:34:41,799 Speaker 1: visit authorm's website authroom dot com. And what what was 535 00:34:41,840 --> 00:34:47,759 Speaker 1: applied here was UH a methodology that that David has 536 00:34:47,960 --> 00:34:54,480 Speaker 1: developed called forensic grade genome sequencing. And so with this, 537 00:34:54,480 --> 00:34:59,720 Speaker 1: this this tool that this man has created is almost 538 00:34:59,840 --> 00:35:04,200 Speaker 1: my un blowing. He can take he can actually take 539 00:35:05,080 --> 00:35:09,160 Speaker 1: samples from a skull that is this old day UH 540 00:35:09,640 --> 00:35:11,839 Speaker 1: and be able to render it down so that he 541 00:35:11,880 --> 00:35:17,440 Speaker 1: can extricate a DNA sample from this. And from this, 542 00:35:17,600 --> 00:35:21,520 Speaker 1: they build this out, They build it out because at Authoram, 543 00:35:21,560 --> 00:35:24,640 Speaker 1: not only do they have these scientists that work at 544 00:35:24,640 --> 00:35:28,759 Speaker 1: a level that I really cannot intellectually appreciate. I'm not 545 00:35:28,880 --> 00:35:30,240 Speaker 1: at I'm not at that level. 546 00:35:30,440 --> 00:35:32,120 Speaker 2: You were telling me they can only work for forty 547 00:35:32,160 --> 00:35:32,799 Speaker 2: five minutes on it. 548 00:35:33,040 --> 00:35:36,640 Speaker 1: They do so in Yeah, it's very intense, it's labor intensive. 549 00:35:36,920 --> 00:35:40,759 Speaker 1: We're you're talking about doing these fine skills. You know 550 00:35:40,800 --> 00:35:43,000 Speaker 1: that they're and they have to be very very careful. 551 00:35:43,239 --> 00:35:46,200 Speaker 1: And it's like being in a surgery suite. You have 552 00:35:46,280 --> 00:35:50,200 Speaker 1: the potential to contaminate everything. Wow. So when you go there, 553 00:35:50,239 --> 00:35:53,399 Speaker 1: you see them, they're they're liking spacesuits. Man, I mean, 554 00:35:53,480 --> 00:35:57,680 Speaker 1: it's I know that sounds it sounds fantastical, it's but 555 00:35:57,840 --> 00:36:04,720 Speaker 1: they're they're no, really, and and they David and Kristen 556 00:36:04,800 --> 00:36:10,399 Speaker 1: have created this environment to facilitate all of this. And man, 557 00:36:10,480 --> 00:36:13,439 Speaker 1: let me tell you, they've built this thing up from 558 00:36:13,480 --> 00:36:16,960 Speaker 1: the ground up. Now, they obviously have investors that are 559 00:36:17,000 --> 00:36:19,560 Speaker 1: helping them, but you know, on day to day cases 560 00:36:19,600 --> 00:36:22,960 Speaker 1: they need assistance. And so when it comes to Gertrude, 561 00:36:23,440 --> 00:36:30,600 Speaker 1: when David's team utilized this forensic grade genome sequencing methodology, 562 00:36:30,800 --> 00:36:35,040 Speaker 1: they actually have genetic sciences that are there working these cases. 563 00:36:35,520 --> 00:36:41,000 Speaker 1: They've got another section within that laboratory, Dave, that are genealogists. 564 00:36:41,719 --> 00:36:44,960 Speaker 1: I mean, can you he employs full time genealogists. How 565 00:36:45,000 --> 00:36:47,400 Speaker 1: amazing is that, so they take. 566 00:36:47,560 --> 00:36:49,520 Speaker 2: That's what you would have to have with this though, and. 567 00:36:49,560 --> 00:36:52,080 Speaker 1: You would have to you're going to be walking around 568 00:36:52,360 --> 00:36:55,600 Speaker 1: in the dark without a genealogist as a part of 569 00:36:55,640 --> 00:37:00,399 Speaker 1: this because they their worldview. You take the complexity of 570 00:37:00,680 --> 00:37:05,160 Speaker 1: this kind of genomic mapping that's going on and development 571 00:37:05,320 --> 00:37:08,480 Speaker 1: of you know, through the sequencing that they do, and 572 00:37:08,520 --> 00:37:11,200 Speaker 1: that's all grand, and it's all fine, but how are 573 00:37:11,200 --> 00:37:12,759 Speaker 1: you going to plug it in? Well, they've got a 574 00:37:12,760 --> 00:37:17,480 Speaker 1: couple of open source databases. Twenty three and meters, by 575 00:37:17,480 --> 00:37:20,839 Speaker 1: the way, is not part of it, okay, but there 576 00:37:20,920 --> 00:37:25,440 Speaker 1: are these open source databases which are limiting that people 577 00:37:25,560 --> 00:37:31,840 Speaker 1: have donated genetic samplitude and Dave, they were actually able 578 00:37:32,719 --> 00:37:34,600 Speaker 1: to find Gertrude's relatives. 579 00:37:35,360 --> 00:37:38,799 Speaker 2: That's what got me about the actual investigation that goes 580 00:37:38,840 --> 00:37:43,040 Speaker 2: into this, beyond just the DNA. A lot of us 581 00:37:43,080 --> 00:37:45,120 Speaker 2: tend to think, well, they have DNA, what else do 582 00:37:45,160 --> 00:37:47,359 Speaker 2: they need? And it's like, because we're not all in 583 00:37:47,400 --> 00:37:50,279 Speaker 2: and data, you know, we're there are those of us 584 00:37:50,280 --> 00:37:53,200 Speaker 2: in the political paranoids that think everything we have is 585 00:37:53,239 --> 00:37:55,880 Speaker 2: being monitored by government it's own level. But when it 586 00:37:55,880 --> 00:37:58,040 Speaker 2: comes to actually doing it in real world stuff, it 587 00:37:58,040 --> 00:38:01,080 Speaker 2: doesn't exist, and these people have figured out, these people 588 00:38:01,120 --> 00:38:04,040 Speaker 2: meaning scientists, the genomists and all that, that they get 589 00:38:04,080 --> 00:38:07,680 Speaker 2: together and build the genealogy of a family tree based 590 00:38:07,719 --> 00:38:10,640 Speaker 2: on a skull that was found in Ventura County, California, 591 00:38:10,760 --> 00:38:13,120 Speaker 2: that was in a bag with rocks in it to 592 00:38:13,239 --> 00:38:15,560 Speaker 2: soak it to the bottom of the of the channel 593 00:38:15,880 --> 00:38:19,440 Speaker 2: where it was found. It boggles my mind. But Joe, 594 00:38:20,120 --> 00:38:23,520 Speaker 2: how once they're able to start finding the building the 595 00:38:23,560 --> 00:38:26,839 Speaker 2: family tree, and they were given a tip that there 596 00:38:26,880 --> 00:38:29,960 Speaker 2: had been a grave robbing and that this skull may 597 00:38:29,960 --> 00:38:32,600 Speaker 2: have been part of that. I have yet to find 598 00:38:32,640 --> 00:38:34,880 Speaker 2: out why. I don't know the why. I know the 599 00:38:34,880 --> 00:38:37,200 Speaker 2: grave robbing tip came in and I know police were 600 00:38:37,200 --> 00:38:40,640 Speaker 2: able to utilize that in finding out what really transpired. 601 00:38:41,520 --> 00:38:44,120 Speaker 2: But do we don't know why they why this grave 602 00:38:44,239 --> 00:38:46,360 Speaker 2: was disturbed or even when do we know? 603 00:38:46,760 --> 00:38:50,960 Speaker 1: And I've worked cases of grave robbery before. Yeah, they're horrible. 604 00:38:51,080 --> 00:38:53,640 Speaker 1: I mean, they're absolutely horrible, and people do it for 605 00:38:53,680 --> 00:38:57,239 Speaker 1: any number of reasons. You have these people that are 606 00:38:57,280 --> 00:38:59,240 Speaker 1: out there that think that they're going to go conduct 607 00:38:59,239 --> 00:39:05,640 Speaker 1: some kind of serah, so they revictimize families by virtue 608 00:39:05,920 --> 00:39:08,280 Speaker 1: of and what they're involved in I'll say it very plainly. 609 00:39:08,520 --> 00:39:13,640 Speaker 1: This is desecration. Yeah, this is desecration of a tomb. 610 00:39:13,880 --> 00:39:19,200 Speaker 1: And in Gertrude's case, they had a family mausoleum. So 611 00:39:19,239 --> 00:39:24,120 Speaker 1: you've got remains dave that are presumably above ground. So 612 00:39:24,239 --> 00:39:27,760 Speaker 1: remember how I mentioned like groundwater impacting mains and all that, 613 00:39:27,760 --> 00:39:30,400 Speaker 1: that's not what you have necessarily in this case, you 614 00:39:30,440 --> 00:39:34,799 Speaker 1: have somebody that is actually going into into a mausoleum. 615 00:39:35,200 --> 00:39:38,840 Speaker 1: And you know, I know I run on about New Orleans, 616 00:39:38,880 --> 00:39:41,560 Speaker 1: my hometown, but for those of you within the sound 617 00:39:41,560 --> 00:39:43,880 Speaker 1: of my voice, if you've ever driven through New Orleans, 618 00:39:43,920 --> 00:39:47,440 Speaker 1: one of the things we're famous for our graves. We 619 00:39:47,520 --> 00:39:51,080 Speaker 1: have above ground graves because the water is it's it, 620 00:39:51,840 --> 00:39:54,279 Speaker 1: you know, like I said, it destroys everything that we 621 00:39:54,360 --> 00:39:57,120 Speaker 1: can't bury because we're beneath sea level there, so you 622 00:39:57,160 --> 00:40:01,360 Speaker 1: have to bury above ground. And what happened and what 623 00:40:01,480 --> 00:40:05,719 Speaker 1: has happened in previous cases, you know they will. They 624 00:40:05,719 --> 00:40:09,080 Speaker 1: will intrude into like a family mausoleum, make it through 625 00:40:09,120 --> 00:40:12,359 Speaker 1: the door, the access door, which is no small feat. 626 00:40:12,400 --> 00:40:14,719 Speaker 1: Some of these things are built like bank faults. You 627 00:40:14,800 --> 00:40:18,879 Speaker 1: have the purpose to do this. And then if you've 628 00:40:18,920 --> 00:40:22,520 Speaker 1: ever looked inside of mausoleum, their works of art. I've 629 00:40:22,560 --> 00:40:25,799 Speaker 1: seen some of the most beautiful, beautiful press with stained 630 00:40:25,840 --> 00:40:28,719 Speaker 1: glass windows and all this stuff in marble. And they'll 631 00:40:28,719 --> 00:40:31,000 Speaker 1: go in and they'll take a sledgehammer. I don't we 632 00:40:31,120 --> 00:40:33,160 Speaker 1: don't know that that's necessarily the case here, but they'll 633 00:40:33,160 --> 00:40:36,279 Speaker 1: take a sledgehammer and they'll knock the side or the 634 00:40:36,320 --> 00:40:40,680 Speaker 1: front out of one, depend upon how the the crypt 635 00:40:40,719 --> 00:40:43,000 Speaker 1: is set up, and they'll knock a hole in it 636 00:40:43,360 --> 00:40:46,399 Speaker 1: and then begin to pull things out of it. All right, 637 00:40:46,880 --> 00:40:49,400 Speaker 1: And isn't that horrible when you begin to think about it. 638 00:40:50,200 --> 00:40:54,279 Speaker 1: And that apparently is what happened in Gertrude's case, And 639 00:40:54,320 --> 00:41:00,880 Speaker 1: they were able to build out, build out this genetic 640 00:41:00,920 --> 00:41:06,960 Speaker 1: structure through Authraam's Authoram's methodology, and they came up. Now, 641 00:41:06,960 --> 00:41:10,799 Speaker 1: we didn't Gertrude did have a daughter, didn't she? 642 00:41:10,960 --> 00:41:13,920 Speaker 2: Well, actually, okay, once we were able to get all 643 00:41:13,960 --> 00:41:15,960 Speaker 2: of this found out. She was born in eighteen sixty 644 00:41:16,000 --> 00:41:20,280 Speaker 2: four in California to Glenn Elliott and Lyman Weston Elliott. 645 00:41:20,320 --> 00:41:23,560 Speaker 2: She had a sister, Louise and a brother, Theodore. Gertie, 646 00:41:23,600 --> 00:41:27,879 Speaker 2: as she was called, married James Merritt Littlehall. Together they 647 00:41:27,960 --> 00:41:32,800 Speaker 2: had a daughter, Louise, in nineteen oh eight. Sadly, Gertie 648 00:41:32,800 --> 00:41:37,000 Speaker 2: died in nineteen fifteen at the age of fifty. She's 649 00:41:37,000 --> 00:41:39,239 Speaker 2: got a seven year old daughter. Okay, so she was 650 00:41:39,239 --> 00:41:41,200 Speaker 2: a little on the old side for having a child. 651 00:41:41,640 --> 00:41:43,520 Speaker 1: Uh tickle on during note that day and age. 652 00:41:43,600 --> 00:41:45,680 Speaker 2: Yeah, yeah, I mean in her forties when she has 653 00:41:45,719 --> 00:41:46,160 Speaker 2: her child. 654 00:41:46,520 --> 00:41:47,840 Speaker 1: Do you know what it took her so long to 655 00:41:47,840 --> 00:41:49,640 Speaker 1: have a child? I don't know if you know that, 656 00:41:49,680 --> 00:41:51,760 Speaker 1: I got it. This is a this is a huge 657 00:41:51,760 --> 00:41:52,359 Speaker 1: reveal here. 658 00:41:52,400 --> 00:41:52,760 Speaker 2: Okay. 659 00:41:54,200 --> 00:41:59,560 Speaker 1: In my earlier comments about Yorick, York was an entertainer, right, 660 00:41:59,800 --> 00:42:07,240 Speaker 1: he was the court jester that touched Hamlet's life. Gertie 661 00:42:08,360 --> 00:42:17,000 Speaker 1: actually was a highly regarded and accomplished musician and vocalist. 662 00:42:17,280 --> 00:42:20,879 Speaker 1: Her parents, now imagine this trip. They were from Stockton, California. 663 00:42:21,719 --> 00:42:25,520 Speaker 1: They put this child after she graduated high school in sixteen. 664 00:42:25,600 --> 00:42:29,000 Speaker 1: They put this child, I guess, on a train and 665 00:42:29,080 --> 00:42:32,480 Speaker 1: sent her to Boston and she studied at the Boston 666 00:42:32,560 --> 00:42:36,120 Speaker 1: Conservatory there, did that for two years, and did this, 667 00:42:37,480 --> 00:42:42,640 Speaker 1: got on a boat and went to Europe and studied 668 00:42:42,960 --> 00:42:47,399 Speaker 1: at multiple other locations there before she finally came back 669 00:42:47,440 --> 00:42:52,840 Speaker 1: home and became this fantastic sought after musician and vocalist 670 00:42:52,880 --> 00:42:57,239 Speaker 1: where she would teach voice training and musicianship. And so 671 00:42:57,280 --> 00:43:01,240 Speaker 1: she had lived this incredible life, particularly for a woman 672 00:43:01,360 --> 00:43:05,880 Speaker 1: during the let's face friend of Victorian era, and which 673 00:43:06,239 --> 00:43:10,399 Speaker 1: just makes all the more fascinating that out of all 674 00:43:10,400 --> 00:43:13,160 Speaker 1: the graves in the world that they they did, that's 675 00:43:13,239 --> 00:43:17,000 Speaker 1: the one they did. And so she she you know, 676 00:43:17,040 --> 00:43:20,560 Speaker 1: you've got this this person who made a mark during 677 00:43:20,600 --> 00:43:23,879 Speaker 1: their their short, very period of time, this very short 678 00:43:23,880 --> 00:43:28,120 Speaker 1: period of time of their life fifty years, and she 679 00:43:28,280 --> 00:43:32,440 Speaker 1: was remarkable in that sense. Now you take what Othrom 680 00:43:32,520 --> 00:43:38,000 Speaker 1: has done and she is now in the news again 681 00:43:38,200 --> 00:43:42,760 Speaker 1: because this just has dropped and she's made another mark 682 00:43:43,880 --> 00:43:46,640 Speaker 1: after well in excess of one hundred years. 683 00:43:47,080 --> 00:43:49,799 Speaker 2: There's some peace in that knowing, but it's such a 684 00:43:49,800 --> 00:43:55,200 Speaker 2: deep sadness to know that your relative sat unidentified as 685 00:43:55,280 --> 00:43:58,560 Speaker 2: Ventia County Janeko, thinking she was somebody that had been 686 00:43:58,640 --> 00:44:01,640 Speaker 2: killed recently in the eighties, even that's what they thought, 687 00:44:02,120 --> 00:44:04,600 Speaker 2: and finding out she was historically significant. 688 00:44:04,840 --> 00:44:08,160 Speaker 1: Yes, and you know, Dave, it is very sad. But 689 00:44:08,239 --> 00:44:12,360 Speaker 1: you know what, here's the cool thing about this. There's 690 00:44:12,480 --> 00:44:18,279 Speaker 1: actually a bit of hope here. There's actually something that 691 00:44:18,320 --> 00:44:24,319 Speaker 1: we can come away from this story that gives us 692 00:44:24,360 --> 00:44:28,279 Speaker 1: all hope, and certainly people that have like myself, that 693 00:44:28,360 --> 00:44:31,680 Speaker 1: have stood over the unidentified for all of these years. 694 00:44:32,840 --> 00:44:37,880 Speaker 1: The hope is is that now there can be answers 695 00:44:38,960 --> 00:44:42,759 Speaker 1: for you know, I think maybe what we thought was 696 00:44:42,800 --> 00:44:46,600 Speaker 1: going to be an unsolvable puzzle for so many years, 697 00:44:47,440 --> 00:44:52,480 Speaker 1: and it comes in the form of the Middlemans. It 698 00:44:52,520 --> 00:44:56,000 Speaker 1: comes in the form of this organization that has been 699 00:44:56,040 --> 00:45:00,399 Speaker 1: created with AUTHORM. I have people that approach me all 700 00:45:00,440 --> 00:45:05,400 Speaker 1: the time saying that I wish there was something I 701 00:45:05,400 --> 00:45:08,839 Speaker 1: could do. I wish there was something I could do 702 00:45:08,920 --> 00:45:12,799 Speaker 1: because I've always been fascinated by forensics. I've always been 703 00:45:12,840 --> 00:45:19,200 Speaker 1: fascinated by detective work. Well, saddle up, here's your opportunity. 704 00:45:19,840 --> 00:45:25,200 Speaker 1: Here's your opportunity to do this. I would urge everyone 705 00:45:26,000 --> 00:45:33,800 Speaker 1: to visit dnasolves dot com. That's d n A s 706 00:45:34,960 --> 00:45:42,960 Speaker 1: l v e S dot com, DNA Solves. Visit that website. 707 00:45:43,840 --> 00:45:48,120 Speaker 1: This is where you can see the cases that are 708 00:45:48,200 --> 00:45:53,120 Speaker 1: currently waiting to be worked, those cases that there are 709 00:45:53,280 --> 00:45:57,640 Speaker 1: no answers to. This is your opportunity to fully engage. 710 00:45:58,080 --> 00:46:02,560 Speaker 1: And it doesn't matter. You can donate money, you can 711 00:46:02,600 --> 00:46:05,480 Speaker 1: and it doesn't have to be tons and tons of money, 712 00:46:05,520 --> 00:46:09,160 Speaker 1: all right, just a few bucks. There's a way to contribute. 713 00:46:09,800 --> 00:46:14,120 Speaker 1: It's going to be tax deductible. Get in contact with them. 714 00:46:14,520 --> 00:46:17,120 Speaker 1: Get in contact with them, look over the cases, find 715 00:46:17,160 --> 00:46:21,120 Speaker 1: one that you're interested in, and lend a hand. Listen, 716 00:46:21,239 --> 00:46:23,520 Speaker 1: you have the ability and you have the power to 717 00:46:23,560 --> 00:46:28,560 Speaker 1: do something that somebody like me never had the chance 718 00:46:28,600 --> 00:46:35,800 Speaker 1: to do. I tried to provide answers for those that remained, 719 00:46:37,600 --> 00:46:42,600 Speaker 1: and I failed many times because of my limitations. My friends, 720 00:46:43,680 --> 00:46:48,720 Speaker 1: those limitations are beginning to fall away. Here's your chance. 721 00:46:49,480 --> 00:46:53,120 Speaker 1: Dig in, help these folks out as best you can, 722 00:46:53,200 --> 00:47:01,640 Speaker 1: and again visit DNA solves dot com. I'm Joseph Scott 723 00:47:01,680 --> 00:47:09,080 Speaker 1: Morgan and this is body Bags MHM