1 00:00:08,600 --> 00:00:19,320 Speaker 1: Body Backs with Joseph Scott Morgan years ago, when I 2 00:00:19,360 --> 00:00:25,799 Speaker 1: was working as an investigator, every death that occurred, you know, 3 00:00:25,840 --> 00:00:28,200 Speaker 1: I'd like to say that each death is unique, and 4 00:00:28,520 --> 00:00:34,000 Speaker 1: they are. But when you're in the middle of conducting 5 00:00:34,080 --> 00:00:41,960 Speaker 1: an investigation into an obvious homicide and a pattern begins 6 00:00:42,040 --> 00:00:50,280 Speaker 1: to appear in other cases, there's this little thing that 7 00:00:50,320 --> 00:00:53,960 Speaker 1: occurs in your brain. And I used to think that 8 00:00:54,040 --> 00:00:59,440 Speaker 1: I would get distracted from other cases that did not 9 00:00:59,640 --> 00:01:02,600 Speaker 1: have the same patterns because you get I don't know, 10 00:01:02,680 --> 00:01:06,080 Speaker 1: it's it's almost like a in a hyper state of awareness, 11 00:01:06,240 --> 00:01:10,880 Speaker 1: I think, because you know, you see, you know, investigators 12 00:01:10,880 --> 00:01:13,520 Speaker 1: are no different than anybody else. You know, you begin 13 00:01:13,560 --> 00:01:19,000 Speaker 1: to see the Boogeyman everywhere you go. But the hardcold 14 00:01:19,080 --> 00:01:28,080 Speaker 1: reality is is that the boogeyman does exist. And today 15 00:01:28,959 --> 00:01:36,920 Speaker 1: I want to speak to a particular case of a teenager, 16 00:01:37,520 --> 00:01:44,440 Speaker 1: a teen girl who died many, many years ago, but 17 00:01:44,520 --> 00:01:49,160 Speaker 1: yet her death was shrouded in mystery for a long time, 18 00:01:51,360 --> 00:01:54,440 Speaker 1: and I think that it's important that we discuss it 19 00:01:54,880 --> 00:02:01,560 Speaker 1: because she fell victim to a boogeyman. She fell victim 20 00:02:04,240 --> 00:02:10,760 Speaker 1: to Gary Ridgeway, otherwise known as a Green River killer. 21 00:02:12,680 --> 00:02:21,079 Speaker 1: I'm Joseph Scott Morgan and this is body Bags. I 22 00:02:21,160 --> 00:02:24,200 Speaker 1: think that Dave, you and I kind of came to 23 00:02:25,360 --> 00:02:28,200 Speaker 1: maturity as young adults. 24 00:02:28,400 --> 00:02:31,040 Speaker 2: Okay, Joe, stop before you guys get worried that this 25 00:02:31,120 --> 00:02:32,880 Speaker 2: is going to be some kind of summer of forty 26 00:02:32,919 --> 00:02:34,839 Speaker 2: two boys becoming men show. 27 00:02:34,919 --> 00:02:35,240 Speaker 1: It's not. 28 00:02:36,160 --> 00:02:41,240 Speaker 2: This show today is about Tammy Lyles directly and indirectly. 29 00:02:41,560 --> 00:02:44,000 Speaker 2: Tammy Lyles was only sixteen years old when she was 30 00:02:44,080 --> 00:02:47,280 Speaker 2: murdered by Gary Ridgway, known to many as the Green 31 00:02:47,400 --> 00:02:51,440 Speaker 2: River serial killer. Gary Ridgway killed forty nine women and girls. 32 00:02:51,720 --> 00:02:54,840 Speaker 2: Tammy Lyles was just sixteen when she met Gary Ridgeway 33 00:02:54,840 --> 00:02:57,600 Speaker 2: and he killed her. It took years for her for 34 00:02:57,639 --> 00:03:00,040 Speaker 2: her to be identified, for her family to know for 35 00:03:00,120 --> 00:03:02,760 Speaker 2: sure this was our Tammy. As a matter of fact, 36 00:03:02,840 --> 00:03:05,400 Speaker 2: for a year she was called bones twenty. But it 37 00:03:05,440 --> 00:03:08,480 Speaker 2: took the people at Authorm Labs and the work they 38 00:03:08,560 --> 00:03:13,200 Speaker 2: do that goes beyond the veil. It's just as fascinating, 39 00:03:13,360 --> 00:03:16,440 Speaker 2: incredible work. And I think about every time they solve 40 00:03:16,440 --> 00:03:21,160 Speaker 2: a case genetically using genetic genealogy, it's another family that 41 00:03:21,280 --> 00:03:25,720 Speaker 2: now has peace and comfort. Joe and I both don't 42 00:03:25,800 --> 00:03:29,280 Speaker 2: like to say closure, but peace and comfort. Knowing knowing 43 00:03:30,520 --> 00:03:33,359 Speaker 2: that's the key. So I wanted to make sure y'all 44 00:03:33,400 --> 00:03:35,400 Speaker 2: know that's what we're talking about today. Green River, Sarah 45 00:03:35,480 --> 00:03:40,280 Speaker 2: Killer Authoram Labs, and sixteen year old Tammy Lyles. Now, Joe, 46 00:03:40,600 --> 00:03:42,680 Speaker 2: let's go back to the summer of forty two. 47 00:03:42,800 --> 00:03:47,520 Speaker 1: I'm speaking to myself. I can't speak to you. 48 00:03:47,960 --> 00:03:50,520 Speaker 2: We're the same, We heard the same agent of parallel 49 00:03:50,520 --> 00:03:53,520 Speaker 2: existences in our private lives before we ever met one another. 50 00:03:53,960 --> 00:03:57,240 Speaker 1: Yeah, you're right, it's weird how people get connected that way. 51 00:03:57,360 --> 00:04:01,400 Speaker 1: But we came of age. I think at at an 52 00:04:01,440 --> 00:04:07,680 Speaker 1: interesting time, particularly from a crime history perspective, because it 53 00:04:07,760 --> 00:04:11,120 Speaker 1: seems as though that the world that we that we 54 00:04:11,160 --> 00:04:15,600 Speaker 1: inhabited back then, serial killers were talked about. They seemed 55 00:04:15,600 --> 00:04:17,279 Speaker 1: to be. I know that they talk about him now 56 00:04:17,440 --> 00:04:21,039 Speaker 1: in true crime world, but back then, you know, I 57 00:04:21,080 --> 00:04:24,200 Speaker 1: can reflect back and think about all these serial perpetrators 58 00:04:24,240 --> 00:04:26,080 Speaker 1: that were out there when I was a young guy, 59 00:04:26,839 --> 00:04:31,360 Speaker 1: and they were it seems like that they were everywhere. 60 00:04:31,480 --> 00:04:34,159 Speaker 2: Because of Ted Bundy more than anything else. Ted Bundy 61 00:04:34,200 --> 00:04:37,000 Speaker 2: because he was that, he was attractive, he had been big, 62 00:04:37,040 --> 00:04:39,479 Speaker 2: and you know, they they talked about him being very 63 00:04:39,520 --> 00:04:43,279 Speaker 2: big in Washington State politics. He really wasn't, but because 64 00:04:43,400 --> 00:04:48,960 Speaker 2: his story was so remarkable and and rule writing the 65 00:04:48,960 --> 00:04:53,560 Speaker 2: book The Stranger Beside Me actually illuminated this whole world 66 00:04:53,680 --> 00:04:57,120 Speaker 2: of the good looking guy that you would be happy 67 00:04:57,120 --> 00:05:00,440 Speaker 2: for your daughter to date is actually killing women who 68 00:05:00,560 --> 00:05:04,400 Speaker 2: looked like his first real love. But then we had 69 00:05:04,400 --> 00:05:08,240 Speaker 2: in the seventies, we had his escape from jail twice 70 00:05:08,640 --> 00:05:11,599 Speaker 2: if you remember, oh yeah, that was the two you know, 71 00:05:11,720 --> 00:05:14,000 Speaker 2: run Ted run kind of stuff, a run Bundy run, 72 00:05:14,040 --> 00:05:16,400 Speaker 2: whatever it was. We had that all over the press. 73 00:05:16,880 --> 00:05:19,120 Speaker 2: And then in the eighties we had all of the 74 00:05:19,279 --> 00:05:22,480 Speaker 2: other things. We had the Green River killer in the 75 00:05:22,520 --> 00:05:24,520 Speaker 2: news because they labeled. 76 00:05:24,120 --> 00:05:24,520 Speaker 1: It that way. 77 00:05:24,560 --> 00:05:27,560 Speaker 2: But in the meantime, we had Ted Bundy reaching out 78 00:05:27,600 --> 00:05:30,640 Speaker 2: to the press because he was on death row and 79 00:05:30,680 --> 00:05:32,520 Speaker 2: they kept trying to kill him and he kept trying 80 00:05:32,560 --> 00:05:34,719 Speaker 2: to fight it off. And so every time a serial 81 00:05:34,800 --> 00:05:37,760 Speaker 2: killer started being covered in the press, Ted Bundy got 82 00:05:37,760 --> 00:05:40,200 Speaker 2: his wheels in motion to get the press back on him. 83 00:05:40,600 --> 00:05:43,720 Speaker 2: It was amazing. Yeah, it really was in a bad way. 84 00:05:43,839 --> 00:05:46,920 Speaker 2: Amazing Yeah yeah, no, no, really in a reality in 85 00:05:47,040 --> 00:05:51,560 Speaker 2: a realistic way, because I think that you know, it 86 00:05:51,600 --> 00:05:54,440 Speaker 2: goes to people throw around the term of narcissism all 87 00:05:54,480 --> 00:06:00,160 Speaker 2: the time nowadays, and it's certainly I think that it 88 00:06:00,240 --> 00:06:08,200 Speaker 2: is very uh it's it is symptomatic of narcissism relative 89 00:06:08,240 --> 00:06:12,400 Speaker 2: to him and he you know, he uh he he 90 00:06:12,480 --> 00:06:15,520 Speaker 2: would draw the spotlight back to him. And I think 91 00:06:15,560 --> 00:06:19,600 Speaker 2: back we had Richard Maris. Wow, we had the hillside 92 00:06:19,600 --> 00:06:21,479 Speaker 2: strang GluRs. It's not stranged GluR. 93 00:06:22,279 --> 00:06:25,320 Speaker 1: Uh. For a while it was singular, but then you've 94 00:06:25,320 --> 00:06:28,040 Speaker 1: got this team of guys. And then going back even 95 00:06:28,240 --> 00:06:33,640 Speaker 1: further than that, you know, you you had uh yeah, 96 00:06:33,720 --> 00:06:37,839 Speaker 1: Tate lot Bianca. But I was thinking about uh uh 97 00:06:38,120 --> 00:06:42,320 Speaker 1: he refused to be called Otis but ottis Tool and 98 00:06:42,480 --> 00:06:47,560 Speaker 1: uh that wascas and they worked in tandem. And actually 99 00:06:47,680 --> 00:06:52,640 Speaker 1: I had I didn't have direct contact with with Ottis 100 00:06:52,760 --> 00:06:55,279 Speaker 1: O t I s. He preferred to be called by that, 101 00:06:55,320 --> 00:07:00,520 Speaker 1: but Otis uh otis tool. They worked into hand them. 102 00:07:00,560 --> 00:07:05,479 Speaker 1: If you've ever seen Henry Portrait of serial Killer, very 103 00:07:05,520 --> 00:07:10,200 Speaker 1: disturbing film, but that you know, those two worked in 104 00:07:10,200 --> 00:07:14,280 Speaker 1: Interestingly enough, when I was with a corner in New Orleans, 105 00:07:15,480 --> 00:07:20,120 Speaker 1: they brought Oddis Tool to my jurisdiction. And one of 106 00:07:20,120 --> 00:07:22,360 Speaker 1: the little traps that a lot of investigators would fall 107 00:07:22,440 --> 00:07:25,240 Speaker 1: into back then was the fact that these guys would 108 00:07:25,280 --> 00:07:27,360 Speaker 1: be cool on their heels in jail. I think Ottis 109 00:07:27,440 --> 00:07:31,040 Speaker 1: was in Florida Penitentiary at that point in time, and 110 00:07:31,080 --> 00:07:34,400 Speaker 1: they brought him to New Orleans because he claimed that 111 00:07:34,440 --> 00:07:38,560 Speaker 1: he could tell tell authorities where bodies were, and you know, 112 00:07:38,600 --> 00:07:41,640 Speaker 1: he kind of made the rounds relative to that. And 113 00:07:43,000 --> 00:07:47,840 Speaker 1: with Ridgeway, there's an element of that with Ridgeway, Gary 114 00:07:47,880 --> 00:07:52,040 Speaker 1: Ridgeway the Green River Killer, because he took he took 115 00:07:52,120 --> 00:07:55,760 Speaker 1: the authorities out to a variety of sites and he 116 00:07:55,920 --> 00:07:59,840 Speaker 1: had a huge body count. I think that some people, 117 00:08:00,480 --> 00:08:05,960 Speaker 1: you know, believe that that he was really responsible for 118 00:08:06,200 --> 00:08:09,320 Speaker 1: far more than he had claimed. And I don't know 119 00:08:09,360 --> 00:08:14,960 Speaker 1: if that if that goes to his he's trying to, 120 00:08:15,880 --> 00:08:19,920 Speaker 1: you know, bait the authorities with with that, or if 121 00:08:19,960 --> 00:08:23,280 Speaker 1: it's if it's reality. You never can tell because it's 122 00:08:23,320 --> 00:08:27,320 Speaker 1: such a deceptive game that they play, you know. But 123 00:08:27,400 --> 00:08:31,960 Speaker 1: for me, what's really cool, Dave, is that I had 124 00:08:32,200 --> 00:08:33,640 Speaker 1: I'm not going to say it was life changing, but 125 00:08:33,679 --> 00:08:36,000 Speaker 1: I had a real peak behind the curtain a couple 126 00:08:36,040 --> 00:08:38,960 Speaker 1: of weeks ago, and I got to go to Authrom 127 00:08:39,040 --> 00:08:43,960 Speaker 1: Labs down in the woodlands outside of Houston, Houston, Texas, 128 00:08:44,559 --> 00:08:46,400 Speaker 1: and they have a direct bearing on the case we're 129 00:08:46,400 --> 00:08:49,480 Speaker 1: going to talk talk about today and the work that 130 00:08:49,480 --> 00:08:53,679 Speaker 1: they're doing in forensic genetic genealogy, and so I think 131 00:08:53,679 --> 00:08:57,199 Speaker 1: that it's important that we try to understand our victim 132 00:08:57,880 --> 00:09:03,600 Speaker 1: today that we're gonna talk about Lawles, and she's what 133 00:09:03,640 --> 00:09:06,679 Speaker 1: they believe is the youngest victim of the Green rip 134 00:09:06,800 --> 00:09:08,720 Speaker 1: killer and AUTHORM played a big role in this day. 135 00:09:09,160 --> 00:09:12,640 Speaker 2: You know, it's amazing that for those of us who 136 00:09:12,720 --> 00:09:15,640 Speaker 2: watched the trial of the century, maybe one of the 137 00:09:15,679 --> 00:09:18,280 Speaker 2: last trials of the century for the nineteen hundreds, was 138 00:09:18,320 --> 00:09:20,880 Speaker 2: the O. J. Simpson trial, where we heard a lot 139 00:09:20,920 --> 00:09:23,280 Speaker 2: about DNA for the first time for many of us 140 00:09:23,480 --> 00:09:27,640 Speaker 2: as observers of crime related stuff, that story was all 141 00:09:27,640 --> 00:09:30,320 Speaker 2: about DNA, it seemed at the end, and I think 142 00:09:30,559 --> 00:09:32,320 Speaker 2: there's a whole lot more that could be told. But 143 00:09:32,600 --> 00:09:37,520 Speaker 2: the bottom line here is that because of so many 144 00:09:37,600 --> 00:09:40,520 Speaker 2: of us knowing about DNA because of the OJ trial 145 00:09:40,559 --> 00:09:43,120 Speaker 2: and what has happened since then, I think it's important 146 00:09:43,240 --> 00:09:48,120 Speaker 2: for people to understand to know that AUTHORM they're not 147 00:09:48,280 --> 00:09:52,920 Speaker 2: some heavily funded government entity that's got a staff of 148 00:09:53,280 --> 00:09:56,640 Speaker 2: you know, with billions of dollars pouring in. They it's 149 00:09:56,679 --> 00:09:58,640 Speaker 2: amazing to me, and we'll cover this more to what 150 00:09:58,640 --> 00:10:01,400 Speaker 2: they but they actually have to crowd for to do 151 00:10:01,480 --> 00:10:04,240 Speaker 2: stories like if you have a loved one that was 152 00:10:04,320 --> 00:10:07,280 Speaker 2: murdered and you're trying to solve it has been years 153 00:10:07,280 --> 00:10:10,079 Speaker 2: and years and years, and you know, there's no statute 154 00:10:10,080 --> 00:10:12,600 Speaker 2: of limitations on murder and the only evidence you have 155 00:10:12,760 --> 00:10:15,520 Speaker 2: is this sample of DNA and you've they've been able 156 00:10:15,600 --> 00:10:18,400 Speaker 2: to do nothing with it, and it's twenty years later. 157 00:10:19,040 --> 00:10:20,400 Speaker 2: Authorn can do something with it. 158 00:10:20,520 --> 00:10:23,160 Speaker 1: They can try, Yeah, they can, and it kind of 159 00:10:23,200 --> 00:10:26,559 Speaker 1: bifurcates in the sense of how it's utilized. I got 160 00:10:26,559 --> 00:10:31,120 Speaker 1: to meet and spend time with David Mettleman, who is 161 00:10:31,160 --> 00:10:36,360 Speaker 1: the director and CEO, and his brilliant wife, Kristin Mittleman, 162 00:10:37,440 --> 00:10:41,360 Speaker 1: and they've run this thing and created something essentially from 163 00:10:41,440 --> 00:10:42,240 Speaker 1: the ground up. 164 00:10:42,240 --> 00:10:46,720 Speaker 2: And wow, I didn't know that. Actually, yeah, there's going 165 00:10:46,760 --> 00:10:49,479 Speaker 2: to have to be a movie on this, you know, Yeah. 166 00:10:49,120 --> 00:10:52,240 Speaker 1: I think that it would be perfect and they're fantastic. 167 00:10:52,280 --> 00:10:56,000 Speaker 1: And David, if you ever enter, and I know that 168 00:10:56,080 --> 00:10:58,440 Speaker 1: a lot of people may be in can state this, 169 00:10:58,679 --> 00:11:03,560 Speaker 1: if you've never been a around a true savant somebody 170 00:11:03,679 --> 00:11:07,520 Speaker 1: that if you're around them, their intellect seems to be 171 00:11:07,640 --> 00:11:12,480 Speaker 1: off the scale. I'd say that David fits within that category. 172 00:11:12,559 --> 00:11:14,679 Speaker 1: He is brilliant. But you know, the thing about it 173 00:11:14,760 --> 00:11:22,520 Speaker 1: is is that his brilliance doesn't stifle his compassion. And 174 00:11:22,559 --> 00:11:25,440 Speaker 1: it's one thing, you know, it's one thing to say 175 00:11:25,600 --> 00:11:27,960 Speaker 1: we can sit around all day long and say how 176 00:11:27,960 --> 00:11:31,240 Speaker 1: compassionate we are, but you know you and I believe 177 00:11:31,280 --> 00:11:36,400 Speaker 1: that you're You know that your abilities are proven through 178 00:11:36,440 --> 00:11:40,280 Speaker 1: your actions, and you know, put the words into motion, 179 00:11:40,640 --> 00:11:45,760 Speaker 1: put those you know what, otherwise would just be worthless platitudes. 180 00:11:46,760 --> 00:11:52,440 Speaker 1: His goal, which is fascinating to me, is not only 181 00:11:52,480 --> 00:11:56,800 Speaker 1: to help solve crimes, which is part of it. That's 182 00:11:56,800 --> 00:12:00,360 Speaker 1: why this is a bifurcated discussion. Is to solve help 183 00:12:00,440 --> 00:12:04,760 Speaker 1: solve crimes, to bring people, to hold people responsible for 184 00:12:05,040 --> 00:12:08,440 Speaker 1: these horrible things that they've done. But also the other 185 00:12:08,480 --> 00:12:12,960 Speaker 1: part that he's engaged in is trying to get the 186 00:12:13,160 --> 00:12:19,160 Speaker 1: thousands and thousands and thousands of bodies that are out 187 00:12:19,160 --> 00:12:24,199 Speaker 1: there identified and to help families know that have been 188 00:12:24,240 --> 00:12:28,240 Speaker 1: missing loved ones, that there is always an empty chair 189 00:12:28,960 --> 00:12:32,480 Speaker 1: at Christmas time or Thanksgiving or whatever holiday they celebrate, 190 00:12:33,240 --> 00:12:36,440 Speaker 1: and you never know what had happened to those individuals. 191 00:12:37,320 --> 00:12:40,120 Speaker 1: And you know, Dave, I got to tell you. I 192 00:12:40,160 --> 00:12:46,719 Speaker 1: was having a conversation with David Meddleman and we were 193 00:12:46,720 --> 00:12:52,720 Speaker 1: standing out on this sun drenched porch in the Texas heat, 194 00:12:54,000 --> 00:12:56,800 Speaker 1: and he looked at me and he said, you know, 195 00:12:56,880 --> 00:13:02,720 Speaker 1: my goal is to get the database for name US, 196 00:13:03,400 --> 00:13:06,679 Speaker 1: which is the database for all of the unidentified bodies 197 00:13:06,679 --> 00:13:10,080 Speaker 1: that we have that are out there. My goal and 198 00:13:10,120 --> 00:13:13,360 Speaker 1: should be the goal of everyone, to clear that database 199 00:13:13,400 --> 00:13:19,160 Speaker 1: out and get everybody known to the world once again, 200 00:13:34,800 --> 00:13:37,720 Speaker 1: sixteen years old. No, you're not an adult in it, 201 00:13:38,360 --> 00:13:42,280 Speaker 1: but you know, sometimes dependent upon the circumstances that a 202 00:13:42,320 --> 00:13:46,360 Speaker 1: sixteen year old is in, they have to face horrors 203 00:13:46,480 --> 00:13:50,079 Speaker 1: that you would think would otherwise only be reserved for adults. 204 00:13:50,960 --> 00:13:54,200 Speaker 1: And of course, in the case that we're speaking of 205 00:13:54,280 --> 00:13:58,960 Speaker 1: today with Tammy Lyles, she faced that horror. She faced 206 00:13:58,960 --> 00:14:02,959 Speaker 1: this devil, this book man and Gary Ridgeway, and it's 207 00:14:03,400 --> 00:14:06,959 Speaker 1: still amazing that first off, that they were ever even 208 00:14:07,000 --> 00:14:08,800 Speaker 1: able to get her identified. 209 00:14:08,920 --> 00:14:15,800 Speaker 2: David, the entire spectrum of the Green River Killer covers 210 00:14:16,320 --> 00:14:20,480 Speaker 2: so many years, so much investigation, so much press. This 211 00:14:20,720 --> 00:14:24,720 Speaker 2: was not something that was just discovered one day and 212 00:14:25,040 --> 00:14:28,120 Speaker 2: they researched it back as a history lesson. This was 213 00:14:28,200 --> 00:14:33,160 Speaker 2: ongoing in the moment coverage of what was happening with 214 00:14:33,400 --> 00:14:38,240 Speaker 2: these women who were being killed. And Gary Ridgeway, he 215 00:14:38,360 --> 00:14:43,480 Speaker 2: was actually on the police radar early on, but just 216 00:14:43,560 --> 00:14:45,680 Speaker 2: kept on truck and they never had enough to really 217 00:14:45,720 --> 00:14:49,440 Speaker 2: do anything with him, but he was somebody they considered 218 00:14:49,560 --> 00:14:54,480 Speaker 2: up there as we look at Tammy Lyles when her 219 00:14:54,680 --> 00:14:59,560 Speaker 2: bones were I apologize if you're if you are one 220 00:14:59,560 --> 00:15:03,000 Speaker 2: of tam these relatives or somebody that knew her as 221 00:15:03,040 --> 00:15:07,960 Speaker 2: a living individual. This is no disrespect, it's but to 222 00:15:08,000 --> 00:15:10,280 Speaker 2: be truthful, we have to describe what was found, when 223 00:15:10,280 --> 00:15:11,960 Speaker 2: it was found, where it was found, how it was 224 00:15:12,080 --> 00:15:14,160 Speaker 2: And I'm so sorry. If this was my love, no, 225 00:15:14,240 --> 00:15:16,880 Speaker 2: I don't know how I would feel about this. But 226 00:15:17,800 --> 00:15:21,120 Speaker 2: in this case, she was finally identified. She was not 227 00:15:21,240 --> 00:15:24,080 Speaker 2: identified for a long time. And that's why I have 228 00:15:24,120 --> 00:15:27,920 Speaker 2: a question for you about that, Joe, because they had 229 00:15:28,040 --> 00:15:33,120 Speaker 2: labeled her as the Green River serial killer's final victim 230 00:15:33,680 --> 00:15:37,880 Speaker 2: identified sixteen year old Tammy Lyles at the age of sixteen. 231 00:15:38,400 --> 00:15:42,600 Speaker 2: She was murdered. Her remains were known as bones twenty. 232 00:15:43,240 --> 00:15:47,880 Speaker 2: Didn't they have an identity. Didn't they know who she 233 00:15:48,160 --> 00:15:52,360 Speaker 2: was before they used DNA to confirm what they thought? 234 00:15:53,440 --> 00:15:57,040 Speaker 1: Yeah, they had gotten an ID on her years after 235 00:15:57,200 --> 00:16:00,840 Speaker 1: she had gone missing, and her remains had been recovered. Okay, 236 00:16:01,320 --> 00:16:04,000 Speaker 1: there was kind of a partial skeletal remain that was 237 00:16:04,000 --> 00:16:08,640 Speaker 1: found of her, which is not uncommon. You know, when, 238 00:16:09,200 --> 00:16:14,440 Speaker 1: particularly when you have what referred to as surface remains, 239 00:16:14,520 --> 00:16:19,400 Speaker 1: those remains that are not buried, you're very fortunate, You're 240 00:16:19,520 --> 00:16:21,840 Speaker 1: very fortunate to find anything at all. In her case, 241 00:16:21,880 --> 00:16:24,640 Speaker 1: they did, and I think that that task was achieved 242 00:16:24,640 --> 00:16:25,880 Speaker 1: through dental examination. 243 00:16:26,160 --> 00:16:31,160 Speaker 2: Okay, because Tammy Lyles's body was found bones called Bones twenty. 244 00:16:31,840 --> 00:16:36,480 Speaker 2: She had been last seen in downtown Seattle, Washington, June 245 00:16:36,520 --> 00:16:41,080 Speaker 2: of eighty three, at the age of sixteen. She was 246 00:16:41,440 --> 00:16:46,000 Speaker 2: one of two unidentified women whose remains were found near Tiggard, Oregon, 247 00:16:46,920 --> 00:16:50,920 Speaker 2: nineteen eighty five, two years after she went After she 248 00:16:51,000 --> 00:16:55,840 Speaker 2: vanished from downtown Seattle, her remains found near Tiggered, Oregon. 249 00:16:56,560 --> 00:17:00,720 Speaker 2: She had been considered one of Bridgeway's potential victims since 250 00:17:01,200 --> 00:17:04,639 Speaker 2: way back, I like ninety eight or eighty eight. Rather, so, 251 00:17:05,359 --> 00:17:08,359 Speaker 2: she goes missing in eighty three, her bones are recovered 252 00:17:08,359 --> 00:17:12,040 Speaker 2: in eighty five, and by eighty eight they did consider 253 00:17:12,119 --> 00:17:16,560 Speaker 2: her part of the Green River killer victims. And that's 254 00:17:16,560 --> 00:17:20,000 Speaker 2: why I was curious about the identification. It was an 255 00:17:20,040 --> 00:17:23,879 Speaker 2: incomplete set of bones and teeth that were just and 256 00:17:26,119 --> 00:17:28,719 Speaker 2: if I get some of these confused too, and I 257 00:17:28,720 --> 00:17:31,359 Speaker 2: am so sorry, but you know, there was one of 258 00:17:31,359 --> 00:17:34,159 Speaker 2: the stories that I remember, Joe where they were at 259 00:17:34,200 --> 00:17:38,919 Speaker 2: a ball field and a dog came running up to 260 00:17:39,200 --> 00:17:41,640 Speaker 2: the coach who was working on the field and had 261 00:17:41,680 --> 00:17:45,840 Speaker 2: a leg bone in his mouth. And can you imagine 262 00:17:45,960 --> 00:17:46,320 Speaker 2: what that. 263 00:17:46,320 --> 00:17:50,800 Speaker 1: Would be like? Yeah, And for our listeners. 264 00:17:50,440 --> 00:17:53,120 Speaker 2: Oh, that's not Tammy, by the way, Polo. 265 00:17:53,000 --> 00:17:55,280 Speaker 1: No, no, no, no, that's not that's not Tammy. But 266 00:17:57,400 --> 00:18:03,479 Speaker 1: when you have when you have canones that are running, uh, 267 00:18:03,960 --> 00:18:06,720 Speaker 1: running a field if you will. Uh, there are a 268 00:18:06,840 --> 00:18:11,600 Speaker 1: number of cases. Uh. And for some reason, dogs are 269 00:18:11,640 --> 00:18:15,960 Speaker 1: attracted to skulls as well. It's almost like they're you know, 270 00:18:16,080 --> 00:18:19,880 Speaker 1: commonly you think about dogs having long bones. They're laying 271 00:18:19,960 --> 00:18:23,240 Speaker 1: in shade, maybe they're chewing on a long bone of 272 00:18:23,280 --> 00:18:26,600 Speaker 1: some kind. Generally you don't expect that to be a 273 00:18:26,680 --> 00:18:30,520 Speaker 1: human bone. But uh, I can think of two cases 274 00:18:30,760 --> 00:18:35,440 Speaker 1: right off the top of my head where I had 275 00:18:35,880 --> 00:18:39,440 Speaker 1: dogs that walked up in the yard of some unsuspecting 276 00:18:39,520 --> 00:18:44,560 Speaker 1: person's home with a skull, uh, And they treat them 277 00:18:44,600 --> 00:18:47,760 Speaker 1: almost like balls many times, and they'll have them poised 278 00:18:47,760 --> 00:18:50,320 Speaker 1: between their paws like this, and they'll you know, they'll 279 00:18:50,640 --> 00:18:53,960 Speaker 1: they'll be chewing uh and working on those bones the 280 00:18:54,119 --> 00:18:58,200 Speaker 1: entire time. And they, you know, canines seem to find 281 00:18:58,400 --> 00:19:02,159 Speaker 1: find this, find great joy in doing this, and so 282 00:19:02,320 --> 00:19:04,960 Speaker 1: it's not unusual for an animal to come walking up 283 00:19:05,000 --> 00:19:05,520 Speaker 1: with a bone. 284 00:19:06,200 --> 00:19:08,560 Speaker 2: If I could have answered a question for a million dollars, 285 00:19:08,600 --> 00:19:10,639 Speaker 2: I never would have guessed that a dog would be 286 00:19:10,680 --> 00:19:13,600 Speaker 2: fascinated with the head. I never would all about that. 287 00:19:13,960 --> 00:19:16,760 Speaker 1: Yeah, it's it's like that. I think that it's if 288 00:19:17,080 --> 00:19:19,359 Speaker 1: anyone has ever seen a dog with a ball between 289 00:19:19,400 --> 00:19:23,080 Speaker 1: their paws kind of playing in the backyard with it, 290 00:19:23,080 --> 00:19:25,760 Speaker 1: it's you know, it's kind of like that, only they 291 00:19:25,800 --> 00:19:28,000 Speaker 1: see it as a source of protein. You know. That's 292 00:19:28,240 --> 00:19:30,480 Speaker 1: you know, just like we're no different, you know, our 293 00:19:30,520 --> 00:19:34,439 Speaker 1: bodies are no different after death like that. That. Wow, 294 00:19:34,760 --> 00:19:36,919 Speaker 1: that's one of the things that attracts and so you 295 00:19:37,000 --> 00:19:39,400 Speaker 1: never know. And here's the other thing is that if 296 00:19:39,440 --> 00:19:44,320 Speaker 1: you if you have a skeletal remain and the dog 297 00:19:44,640 --> 00:19:47,520 Speaker 1: grabs a skelter remain brings in one element of it, 298 00:19:47,800 --> 00:19:52,520 Speaker 1: you don't know where that originated from. And so with Ridgeway, 299 00:19:53,200 --> 00:19:56,760 Speaker 1: Gary Ridgeway and all of these victims, including Tammy Lyles, 300 00:19:57,280 --> 00:20:00,600 Speaker 1: he perpetrated these crimes so that he had the remained 301 00:20:00,680 --> 00:20:05,760 Speaker 1: spread out in let's see how the distribution of the 302 00:20:05,800 --> 00:20:09,639 Speaker 1: remains was all over King County, and so you didn't 303 00:20:09,720 --> 00:20:13,920 Speaker 1: always know. He didn't have like a specific location he 304 00:20:13,960 --> 00:20:16,199 Speaker 1: would go to, but he would do particular things with 305 00:20:16,280 --> 00:20:19,280 Speaker 1: the bodies, some of them that they could still appreciate. 306 00:20:19,320 --> 00:20:22,639 Speaker 1: Sometimes he'd lined bodies up, he'd go to these particular 307 00:20:22,720 --> 00:20:25,520 Speaker 1: areas where he was just kind of keeping them. And 308 00:20:25,520 --> 00:20:29,160 Speaker 1: so they've got these almost like commingaled remains. They even 309 00:20:29,200 --> 00:20:31,880 Speaker 1: put forth the idea that he's posing some of these 310 00:20:31,880 --> 00:20:36,679 Speaker 1: bodies after death and the fact that he would do this, 311 00:20:36,920 --> 00:20:40,879 Speaker 1: And the other thing about Ridgeway is that he's not 312 00:20:41,000 --> 00:20:43,119 Speaker 1: one of these brilliant guys. He doesn't have like an 313 00:20:43,160 --> 00:20:46,679 Speaker 1: IQ that's off the chart. He was just singularly focused 314 00:20:47,240 --> 00:20:51,960 Speaker 1: on what he was doing and he you know, he 315 00:20:52,119 --> 00:20:56,840 Speaker 1: worked for years and years and this plays into the 316 00:20:56,840 --> 00:20:59,400 Speaker 1: story as well. He worked for years and years as 317 00:20:59,560 --> 00:21:02,560 Speaker 1: a not just a car painter or an automotive painter, 318 00:21:02,720 --> 00:21:06,840 Speaker 1: but a painter of trucks specifically, like you know, big 319 00:21:06,880 --> 00:21:09,879 Speaker 1: Peter Bilts and Mac trucks. That's what he did, and 320 00:21:09,960 --> 00:21:13,680 Speaker 1: he maintained that job all of these years while still 321 00:21:13,720 --> 00:21:18,600 Speaker 1: going out and perpetrating these crops, which is fascinating as 322 00:21:18,600 --> 00:21:21,119 Speaker 1: far as I'm concerned. He was just singularly focused on 323 00:21:21,200 --> 00:21:26,360 Speaker 1: this obsession that he had with killing prostitutes and then 324 00:21:26,560 --> 00:21:27,960 Speaker 1: disregarding their remains. 325 00:21:28,240 --> 00:21:31,440 Speaker 2: It's still amazing to me that he was. Gary Ridgeway 326 00:21:32,560 --> 00:21:36,879 Speaker 2: was a suspect early on, from at least eighty seven, 327 00:21:36,920 --> 00:21:40,320 Speaker 2: and that's when we publicly knew about him in terms 328 00:21:40,400 --> 00:21:43,399 Speaker 2: of the investigation, but they suspected him. As you mentioned, 329 00:21:43,400 --> 00:21:45,840 Speaker 2: he was not as clever or as intelligent as some 330 00:21:45,960 --> 00:21:48,840 Speaker 2: others that we have dealt with, but still he got 331 00:21:48,920 --> 00:21:51,680 Speaker 2: away with it for a whole lot longer than many 332 00:21:51,720 --> 00:21:55,480 Speaker 2: of them ever did. And the damage he did to families. 333 00:21:55,760 --> 00:21:59,080 Speaker 2: I think of the how one person can effect. One 334 00:21:59,119 --> 00:22:03,440 Speaker 2: person's death affects so many people. Now you're talking fifty 335 00:22:04,040 --> 00:22:07,639 Speaker 2: you know, you're talking a lot of extended people directly 336 00:22:07,680 --> 00:22:14,880 Speaker 2: and indirectly affected by what this one person did and 337 00:22:14,920 --> 00:22:17,520 Speaker 2: That's what I think is the most shocking to talk 338 00:22:17,520 --> 00:22:19,840 Speaker 2: about people in bones and things like that. When you 339 00:22:19,880 --> 00:22:22,440 Speaker 2: had a girl as sixteen years old, his youngest victim 340 00:22:22,520 --> 00:22:26,000 Speaker 2: was fourteen, or the youngest one we know about was fourteen, 341 00:22:26,040 --> 00:22:28,560 Speaker 2: but you know still Tammy Lyles was sixteen years old. 342 00:22:29,400 --> 00:22:33,639 Speaker 2: Her bones helped identify who she was with the as 343 00:22:33,720 --> 00:22:37,360 Speaker 2: you mentioned, the teeth, using those as identity, but they 344 00:22:37,359 --> 00:22:41,399 Speaker 2: weren't actually able to get the whole picture pulled together 345 00:22:41,680 --> 00:22:46,080 Speaker 2: on on Tammy Lyles until they were able to get 346 00:22:46,119 --> 00:22:50,560 Speaker 2: the DNA tested. And when you start with so little evidence, Joe, 347 00:22:50,840 --> 00:22:54,400 Speaker 2: and you don't have soft tissue, you don't have anything 348 00:22:54,480 --> 00:22:58,240 Speaker 2: except the bones, what do you do as an investigator 349 00:22:59,119 --> 00:23:02,760 Speaker 2: to try to find out who this person is and 350 00:23:02,800 --> 00:23:05,680 Speaker 2: how they ended up where they are when they are discovered. 351 00:23:06,720 --> 00:23:09,240 Speaker 1: Yeah, well that's a lot of that is going to 352 00:23:09,280 --> 00:23:14,000 Speaker 1: rest heavily upon. First off, your first stop along the 353 00:23:14,000 --> 00:23:18,119 Speaker 1: continuum here is anthropology. I would imagine that many of 354 00:23:18,119 --> 00:23:20,880 Speaker 1: our friends have all heard of the body Farm. That's 355 00:23:20,960 --> 00:23:23,200 Speaker 1: one of the reasons the body Farm does the research 356 00:23:23,280 --> 00:23:28,879 Speaker 1: that they do, because you're dealing with decomposing skeletal remains 357 00:23:29,560 --> 00:23:32,240 Speaker 1: and you have to be able to these people that 358 00:23:32,280 --> 00:23:36,040 Speaker 1: go out and practice as anthropologists, they can't put most 359 00:23:36,080 --> 00:23:39,600 Speaker 1: of the time a real fine point on identification. So 360 00:23:39,640 --> 00:23:43,200 Speaker 1: they're looking in very broad ways at the bones that 361 00:23:43,240 --> 00:23:47,880 Speaker 1: they have. You know, they'll try to categorize the bones 362 00:23:48,040 --> 00:23:50,960 Speaker 1: by virtue of race and that you really need a 363 00:23:51,000 --> 00:23:52,920 Speaker 1: skull for that, and of course in many of these 364 00:23:52,920 --> 00:23:54,560 Speaker 1: cases you're not going to have skull. And then you 365 00:23:54,600 --> 00:23:57,800 Speaker 1: try to do stature, and there's a metric that you 366 00:23:57,840 --> 00:24:00,600 Speaker 1: can apply relative to like bone link, Like if you're 367 00:24:00,600 --> 00:24:04,679 Speaker 1: going to measure, say the length of the thigh bone, 368 00:24:05,240 --> 00:24:08,879 Speaker 1: it's going to fit into a particular category as to 369 00:24:10,040 --> 00:24:13,720 Speaker 1: what the height, the approximating height of this individual will be. 370 00:24:13,920 --> 00:24:18,040 Speaker 1: But then you have to determine if the thigh bone 371 00:24:18,080 --> 00:24:21,800 Speaker 1: that you're looking at is either male or female or 372 00:24:22,040 --> 00:24:25,359 Speaker 1: is it from a racial grouping that would have more 373 00:24:25,480 --> 00:24:27,520 Speaker 1: what it referred to And this is a weird word 374 00:24:28,119 --> 00:24:32,800 Speaker 1: grassile bones, which grass ale means fine kind of fine featured, 375 00:24:33,800 --> 00:24:40,240 Speaker 1: where if you had, say an Asian person that you 376 00:24:40,359 --> 00:24:43,840 Speaker 1: found and it could be an adult male, their bones 377 00:24:44,440 --> 00:24:48,520 Speaker 1: might not be as big and robust as some big 378 00:24:48,600 --> 00:24:53,600 Speaker 1: European origin guy like me, and so you can't Sometimes 379 00:24:53,680 --> 00:24:56,560 Speaker 1: you'll get the sexing of the bones. As I say, 380 00:24:56,840 --> 00:25:02,840 Speaker 1: you'll get those confused. You'll get racial characteristics confused with 381 00:25:02,920 --> 00:25:06,880 Speaker 1: skulls because the facial characteristics. You know, sometimes we're commingled, 382 00:25:06,960 --> 00:25:10,720 Speaker 1: our genetics are commingled. Now it's not. You don't have 383 00:25:10,760 --> 00:25:14,520 Speaker 1: these clear lines of delineation. So what are you left 384 00:25:14,560 --> 00:25:17,679 Speaker 1: with at that point? Toime? Well, fortunately the world that 385 00:25:17,720 --> 00:25:24,080 Speaker 1: we live in today has brought about the idea of 386 00:25:24,640 --> 00:25:29,000 Speaker 1: who are we? Who are we at our molecular core? 387 00:25:30,480 --> 00:25:35,560 Speaker 1: And to our benefit, you have groups of people like 388 00:25:35,680 --> 00:25:41,520 Speaker 1: authorm that are answering some of these long, long unanswered questions. 389 00:25:58,480 --> 00:26:00,600 Speaker 1: The big question is what are you left with? You know, 390 00:26:00,640 --> 00:26:05,320 Speaker 1: you start off, I think with an incomplete skeleton, and 391 00:26:05,920 --> 00:26:10,080 Speaker 1: as horrible as it is, the only name that you 392 00:26:10,200 --> 00:26:16,080 Speaker 1: have is bones twenty and you suspect that it could 393 00:26:16,119 --> 00:26:23,280 Speaker 1: be one individual in particular based upon dental ID but 394 00:26:24,000 --> 00:26:26,239 Speaker 1: you need to confirm that. You need to confirm that 395 00:26:26,320 --> 00:26:30,560 Speaker 1: for the sake of the family. And you, like you said, Dave, 396 00:26:30,600 --> 00:26:34,359 Speaker 1: you don't have soft tissue. So where are you going 397 00:26:34,400 --> 00:26:37,240 Speaker 1: to go? Well, you're going to take bone sample. And 398 00:26:37,280 --> 00:26:42,240 Speaker 1: in Tammy Lyles case, that bone sample actually made it 399 00:26:42,320 --> 00:26:45,679 Speaker 1: to Texas. But the first stop in Texas was not 400 00:26:45,960 --> 00:26:50,080 Speaker 1: Authorm Labs. It's another great lab that's housed at the 401 00:26:50,160 --> 00:26:53,280 Speaker 1: University of North Texas. And as a matter of fact, 402 00:26:53,280 --> 00:26:55,679 Speaker 1: I've got a real good buddy of mine that just 403 00:26:55,720 --> 00:26:59,480 Speaker 1: retired from there and they do some of the most 404 00:27:00,080 --> 00:27:05,560 Speaker 1: marvelous work in DNA identification. But when they played that 405 00:27:05,640 --> 00:27:08,879 Speaker 1: out to the end, they were left scratching their head thinking, 406 00:27:09,040 --> 00:27:11,080 Speaker 1: we can't take this any further. We need to see 407 00:27:11,080 --> 00:27:12,760 Speaker 1: who else we can source this to. And of course 408 00:27:12,800 --> 00:27:17,040 Speaker 1: that's when Authram appears, appears on the radar and they 409 00:27:17,040 --> 00:27:19,040 Speaker 1: come in to kind of complete this job. 410 00:27:19,400 --> 00:27:25,320 Speaker 2: Now when we're talking about Authorm and beyond, because there 411 00:27:25,400 --> 00:27:32,359 Speaker 2: is breaking down the DNA and having that map, but 412 00:27:32,560 --> 00:27:36,000 Speaker 2: to find out who this person is and who they 413 00:27:36,040 --> 00:27:40,520 Speaker 2: are tied to is a totally different It's an extension 414 00:27:40,680 --> 00:27:43,960 Speaker 2: of the DNA exercise because now you've got to do 415 00:27:44,480 --> 00:27:48,440 Speaker 2: the genetic genealogy. You have to build a family tree. 416 00:27:48,680 --> 00:27:51,840 Speaker 2: So here is our victim, and we've got that victim. Boy, 417 00:27:51,920 --> 00:27:55,000 Speaker 2: we got everything right here, but we have to find 418 00:27:55,040 --> 00:27:58,800 Speaker 2: out other things. Who's related to this victim. There's other 419 00:27:58,840 --> 00:27:59,920 Speaker 2: people at least too. 420 00:28:00,480 --> 00:28:03,760 Speaker 1: Yeah, this is a fascinating thing in my recent visit 421 00:28:03,800 --> 00:28:05,840 Speaker 1: to Athram that I was shocked by. You go into 422 00:28:06,000 --> 00:28:11,879 Speaker 1: one one section of this of their facility, which is amazing, 423 00:28:12,920 --> 00:28:17,800 Speaker 1: and you've got this very clinical environment where everything is 424 00:28:17,840 --> 00:28:20,440 Speaker 1: sealed off. People are on the literally on the other 425 00:28:20,480 --> 00:28:23,960 Speaker 1: side of the glass and wearing protective clothing, right, and 426 00:28:24,000 --> 00:28:26,239 Speaker 1: they can only work for about forty five minutes at 427 00:28:26,280 --> 00:28:28,520 Speaker 1: a time when they have to step out because it's 428 00:28:28,560 --> 00:28:33,840 Speaker 1: such labor intensive work and you don't want your people 429 00:28:34,359 --> 00:28:37,919 Speaker 1: to be distracted because of fatigue, so they have to 430 00:28:37,920 --> 00:28:39,959 Speaker 1: take a break like every forty five minutes. 431 00:28:40,200 --> 00:28:43,440 Speaker 2: So there's such a powerful thing on the brain. It 432 00:28:43,520 --> 00:28:47,200 Speaker 2: is taxing your brain so much that they know after 433 00:28:47,280 --> 00:28:49,960 Speaker 2: forty five minutes you're no longer at the top of 434 00:28:50,000 --> 00:28:52,960 Speaker 2: your game. It has eaten that much. Take a break. 435 00:28:53,360 --> 00:28:57,400 Speaker 1: That's remarkable, Yeah, it is, and it's the facility itself 436 00:28:57,520 --> 00:29:00,960 Speaker 1: is really something to see from that perspective, but also 437 00:29:01,040 --> 00:29:04,400 Speaker 1: that awareness. So if you have a case like Tammy's 438 00:29:04,400 --> 00:29:08,680 Speaker 1: case that comes in and you're trying to adjust yourself 439 00:29:08,880 --> 00:29:13,000 Speaker 1: to be so laser focused in your assessments of what 440 00:29:13,120 --> 00:29:16,520 Speaker 1: you have before you, here's the really sad thing is 441 00:29:16,560 --> 00:29:20,280 Speaker 1: that if this is a criminal case, defense attorneys will 442 00:29:20,360 --> 00:29:23,200 Speaker 1: pick at that, pick at, well, how many other cases 443 00:29:23,240 --> 00:29:25,320 Speaker 1: if they're talking to the technician, how many other cases 444 00:29:25,360 --> 00:29:27,760 Speaker 1: have you been working? How much time? Where do you 445 00:29:27,800 --> 00:29:29,680 Speaker 1: think you were too tired to be doing this? And 446 00:29:29,680 --> 00:29:33,000 Speaker 1: that sort of thing. They understand that concept. But here's 447 00:29:33,040 --> 00:29:38,600 Speaker 1: the other part. They don't just have a scientific section, 448 00:29:39,080 --> 00:29:44,280 Speaker 1: the genetics section. They've also got a genealogical section, which 449 00:29:44,320 --> 00:29:47,240 Speaker 1: is when you begin to think about this in the 450 00:29:47,240 --> 00:29:50,320 Speaker 1: world that I come from, which is, you know, morgues 451 00:29:50,400 --> 00:29:53,920 Speaker 1: and crime labs and all that stuff you don't think about. Well, 452 00:29:53,960 --> 00:29:58,280 Speaker 1: we've got a whole staff a genealogist here that they 453 00:29:58,480 --> 00:30:01,520 Speaker 1: can confer with begin to kind of work out this 454 00:30:02,440 --> 00:30:07,440 Speaker 1: big puzzle about who is this individual? And right you were, 455 00:30:07,600 --> 00:30:11,240 Speaker 1: you know, when you were discussing how do you tie 456 00:30:11,280 --> 00:30:16,960 Speaker 1: this back to a particular particular familial group, if you will, 457 00:30:17,600 --> 00:30:22,240 Speaker 1: and that is you look for these peripheral individuals that 458 00:30:22,280 --> 00:30:25,560 Speaker 1: are out there within the family tree. So you're talking 459 00:30:25,600 --> 00:30:30,120 Speaker 1: about cousins most of the time and several times removed. 460 00:30:30,480 --> 00:30:33,480 Speaker 1: And then they begin to kind of bring that in 461 00:30:33,520 --> 00:30:36,400 Speaker 1: and tighten the focus on all of these cases. And Tammy, 462 00:30:36,440 --> 00:30:40,960 Speaker 1: of course, is representative of that, and you want to 463 00:30:41,000 --> 00:30:43,320 Speaker 1: be sure. You want to be sure about these cases. 464 00:30:44,040 --> 00:30:49,720 Speaker 1: And so for Tammy Lyles, which please keep in mind 465 00:30:50,040 --> 00:30:54,920 Speaker 1: if people are thinking, well, how did she die, there's 466 00:30:55,040 --> 00:30:59,960 Speaker 1: no way to determine how many of these people die 467 00:31:00,600 --> 00:31:03,320 Speaker 1: because when you get to the state where you're in 468 00:31:03,680 --> 00:31:07,360 Speaker 1: a skelton On state, any of the soft tissue that 469 00:31:07,400 --> 00:31:10,080 Speaker 1: you would be looking for for focal areas of hemorrhage 470 00:31:10,120 --> 00:31:12,200 Speaker 1: in the neck, or you're looking for, you know, the 471 00:31:12,320 --> 00:31:17,600 Speaker 1: fractured hyoid as they always talk about, or you're looking 472 00:31:17,640 --> 00:31:20,360 Speaker 1: for trauma to the skull. Meantime, you're not going to 473 00:31:20,440 --> 00:31:25,640 Speaker 1: have that. And so it's it's an idea of of 474 00:31:26,000 --> 00:31:31,240 Speaker 1: essentially a presumptive event where you're you're presuming that this 475 00:31:31,360 --> 00:31:36,200 Speaker 1: individual died at the hands of someone like Gary Ridgeway 476 00:31:36,640 --> 00:31:40,400 Speaker 1: because it fit the mo of what he had done 477 00:31:40,480 --> 00:31:43,320 Speaker 1: in the past and she fits into a particular grouping. 478 00:31:44,560 --> 00:31:48,840 Speaker 1: But Authorm's role in this is I think that it's 479 00:31:49,200 --> 00:31:52,120 Speaker 1: it is first off, it's the ultimate and compassion, but 480 00:31:52,240 --> 00:31:55,600 Speaker 1: also it's it is from this particular case in the 481 00:31:55,680 --> 00:32:02,360 Speaker 1: series of homicides that Gary Ridgeway was involved in. It 482 00:32:02,400 --> 00:32:07,040 Speaker 1: is the ultimate act of compassion as well, because finally, 483 00:32:08,120 --> 00:32:10,960 Speaker 1: the family can move on from that point. I never 484 00:32:11,080 --> 00:32:14,640 Speaker 1: use the word closure because I think that that's it's 485 00:32:14,680 --> 00:32:19,320 Speaker 1: a horrible term to use because families. You're diminishing the 486 00:32:19,360 --> 00:32:22,200 Speaker 1: grief of families by saying that families never get closure 487 00:32:22,280 --> 00:32:24,960 Speaker 1: from homicides. You can forget that. Please don't say that 488 00:32:25,000 --> 00:32:28,040 Speaker 1: to people. I guess you have closure now, No, they don't. 489 00:32:28,120 --> 00:32:32,560 Speaker 1: People don't get closure. It's such a weird term. And 490 00:32:32,600 --> 00:32:36,560 Speaker 1: for those of us that work as death investigators, families 491 00:32:36,640 --> 00:32:40,000 Speaker 1: don't get closure, they might achieve certain levels of peace. 492 00:32:40,080 --> 00:32:44,800 Speaker 1: I don't know. I can't speak to anybody's individual experiences, 493 00:32:45,240 --> 00:32:48,920 Speaker 1: but the one piece to this is that from a 494 00:32:48,960 --> 00:32:54,000 Speaker 1: confirmatory stint, Authorm offers that and it's a little slice 495 00:32:54,040 --> 00:32:57,200 Speaker 1: of peace perhaps for them, and that's what they've done 496 00:32:57,240 --> 00:32:59,680 Speaker 1: in Tammy Law's case. Dave, Well, you. 497 00:32:59,560 --> 00:33:03,240 Speaker 2: Know with AUM and you have like math on one 498 00:33:03,280 --> 00:33:05,440 Speaker 2: side and the theater arts to people on the other. 499 00:33:05,680 --> 00:33:09,160 Speaker 2: Because to pull all this together to actually get answers 500 00:33:09,200 --> 00:33:13,040 Speaker 2: to questions and solving crimes, this is really an amazing 501 00:33:13,160 --> 00:33:17,480 Speaker 2: world of technology because it does require some out of 502 00:33:17,480 --> 00:33:20,120 Speaker 2: the box thinking. Besides the math. We have the math, 503 00:33:20,920 --> 00:33:23,280 Speaker 2: but we've got to find the rest and that's why 504 00:33:23,320 --> 00:33:26,680 Speaker 2: authoram is so important to what's being done. And I 505 00:33:26,760 --> 00:33:28,560 Speaker 2: want to go back to this idea that they are 506 00:33:28,640 --> 00:33:32,960 Speaker 2: crowd funded when police send. You know, oftentimes our law 507 00:33:33,000 --> 00:33:37,600 Speaker 2: enforcement agencies are underfunded, especially when it comes to investigations 508 00:33:37,600 --> 00:33:40,320 Speaker 2: in what are considered cold cases. Now, because of the 509 00:33:40,520 --> 00:33:43,920 Speaker 2: strides that have been made, many departments have a cold 510 00:33:43,960 --> 00:33:48,400 Speaker 2: case unit and they're breaking crimes. They're actually solving crimes 511 00:33:48,440 --> 00:33:51,960 Speaker 2: that have been dormant for many, many years, but now 512 00:33:53,400 --> 00:33:57,160 Speaker 2: have the ability to take the technology and the skills 513 00:33:57,280 --> 00:34:01,280 Speaker 2: and just the experience of investment gators and actually solve 514 00:34:01,360 --> 00:34:05,800 Speaker 2: these crimes. But to get to that next level, you 515 00:34:05,880 --> 00:34:09,239 Speaker 2: need an author them, you need a law Yeah, they 516 00:34:09,239 --> 00:34:11,400 Speaker 2: don't have funding like well I would think, you know, 517 00:34:11,520 --> 00:34:15,040 Speaker 2: I I just assumed until you told me. I really 518 00:34:15,080 --> 00:34:18,000 Speaker 2: did assume that there was federal funding, that it came 519 00:34:18,040 --> 00:34:20,960 Speaker 2: in from many different sources and they just had because 520 00:34:21,000 --> 00:34:23,319 Speaker 2: of the work they are doing that I really did 521 00:34:23,440 --> 00:34:26,000 Speaker 2: think that it was super funded. Not a problem. Send it. 522 00:34:26,160 --> 00:34:28,560 Speaker 2: We got you. You know, we're lined up from here 523 00:34:28,600 --> 00:34:30,279 Speaker 2: to the moon. But it's not like that at all. 524 00:34:30,440 --> 00:34:34,239 Speaker 1: That's not the way it works, you know. Uh, And 525 00:34:34,840 --> 00:34:39,600 Speaker 1: it's curious to me where certain government agencies push moneies 526 00:34:39,640 --> 00:34:42,560 Speaker 1: towards UH and I think that you know, for me, 527 00:34:42,680 --> 00:34:44,400 Speaker 1: of course, I'm partial in this area because of the 528 00:34:44,480 --> 00:34:47,480 Speaker 1: death investigation. I think that one of the most noble 529 00:34:47,560 --> 00:34:49,640 Speaker 1: things that you can do is provide a service like 530 00:34:49,680 --> 00:34:54,000 Speaker 1: this to families. Authorm fills that gap, uh you know, 531 00:34:54,160 --> 00:34:57,840 Speaker 1: regarding this, regarding that that big unknown, because there's the 532 00:34:57,920 --> 00:35:02,040 Speaker 1: ultimate key it's uh know, at a molecular level that 533 00:35:02,080 --> 00:35:05,920 Speaker 1: they're offering. Look, there's been cold case squads for years 534 00:35:05,960 --> 00:35:08,560 Speaker 1: and years, and it's frustrating being on a cold case. 535 00:35:08,600 --> 00:35:12,040 Speaker 1: There's a reason they're cold cases, and you can in 536 00:35:12,480 --> 00:35:18,800 Speaker 1: cold case cases that are part of a cold case packet. 537 00:35:18,840 --> 00:35:22,879 Speaker 1: See if I can explain this correctly. They are generational, 538 00:35:23,080 --> 00:35:25,600 Speaker 1: So you can have an old group of investigators that 539 00:35:25,640 --> 00:35:28,839 Speaker 1: will be on a cold case, one of many that 540 00:35:28,920 --> 00:35:33,279 Speaker 1: might exist in a certain jurisdiction, and from a generational standpoint, 541 00:35:33,280 --> 00:35:36,640 Speaker 1: and I'm talking generational in a very narrow spectrum here, 542 00:35:37,000 --> 00:35:41,040 Speaker 1: it's passed on to the next generation of investigators that 543 00:35:41,080 --> 00:35:44,680 Speaker 1: have achieved the level of skill. Because the skills that 544 00:35:44,760 --> 00:35:48,319 Speaker 1: a cold case investigator has are a bit different than 545 00:35:48,360 --> 00:35:52,080 Speaker 1: your regular investigator that's out on the street. They're dealing 546 00:35:52,120 --> 00:35:54,840 Speaker 1: with things that are a bit finer in detail, and 547 00:35:54,880 --> 00:35:57,280 Speaker 1: so you have to raise up another generation of police 548 00:35:57,320 --> 00:35:59,640 Speaker 1: officers to be at that level or investigators to be 549 00:35:59,640 --> 00:36:03,120 Speaker 1: at that left. And sometimes these cases just get handed off. 550 00:36:03,200 --> 00:36:05,720 Speaker 1: That's what that and I really want people to grab 551 00:36:05,800 --> 00:36:09,799 Speaker 1: hold of this. That's why this is such a fantastic 552 00:36:09,920 --> 00:36:14,160 Speaker 1: time to be alive and forensics to witness this because 553 00:36:14,239 --> 00:36:17,480 Speaker 1: all of these cases dave that for years and years 554 00:36:17,480 --> 00:36:23,040 Speaker 1: and years that have gone gone unanswered. You know, the 555 00:36:23,080 --> 00:36:26,160 Speaker 1: big questions that arise from these cases that have gone 556 00:36:26,880 --> 00:36:30,640 Speaker 1: unanswered for years and years and years. We're finally getting 557 00:36:30,680 --> 00:36:35,040 Speaker 1: to see a few beams of sunlight that are exposed 558 00:36:35,080 --> 00:36:38,400 Speaker 1: in this darkness, and there will finally be answers. And 559 00:36:38,440 --> 00:36:42,920 Speaker 1: sometimes those answers will come about as an unidentified DNA 560 00:36:43,040 --> 00:36:48,239 Speaker 1: sample that could be blood or semen or any number 561 00:36:48,280 --> 00:36:50,640 Speaker 1: of body fluids that are found has seen that can 562 00:36:50,680 --> 00:36:54,839 Speaker 1: tie back to a perpetrator, or it can be one 563 00:36:54,880 --> 00:36:57,680 Speaker 1: of the best gifts that anybody could give to one 564 00:36:57,680 --> 00:36:59,680 Speaker 1: of these families that have wanted to know for so 565 00:36:59,800 --> 00:37:04,200 Speaker 1: long what happened to those that I love and striking 566 00:37:04,239 --> 00:37:07,080 Speaker 1: them off of that master list that they have at names. 567 00:37:08,160 --> 00:37:13,719 Speaker 1: I urge you to check out dnasolves dot com and 568 00:37:13,800 --> 00:37:16,919 Speaker 1: just visit the website. I don't get a nickel off 569 00:37:16,960 --> 00:37:19,880 Speaker 1: of this. I don't you know. I'm not here to 570 00:37:20,400 --> 00:37:26,040 Speaker 1: necessarily sell what authorm is doing. However, I've spent more 571 00:37:26,080 --> 00:37:29,040 Speaker 1: time than I can possibly express to any of you 572 00:37:29,080 --> 00:37:35,560 Speaker 1: guys standing over unidentified human remains for years and years 573 00:37:35,640 --> 00:37:41,440 Speaker 1: and years with no answers. Again, this might be one 574 00:37:41,440 --> 00:37:44,080 Speaker 1: of the most noble things that's being done in the 575 00:37:44,080 --> 00:37:47,359 Speaker 1: area of forensic sciences right now, and I urge each 576 00:37:47,400 --> 00:37:50,000 Speaker 1: and every one of you to go and visit the 577 00:37:50,040 --> 00:37:53,560 Speaker 1: website and see what these people are doing, because it 578 00:37:53,640 --> 00:38:01,360 Speaker 1: will it will knock your socks off. I'm just Scott 579 00:38:01,400 --> 00:38:10,040 Speaker 1: Morgan and this is body bugs. H