1 00:00:08,640 --> 00:00:19,360 Speaker 1: Body bags with Joseph Scott Morgan years ago, when I 2 00:00:19,400 --> 00:00:25,840 Speaker 1: was working as an investigator. Every death that occurred, you know, 3 00:00:25,880 --> 00:00:28,520 Speaker 1: I'd like to say that each death is unique, and 4 00:00:28,560 --> 00:00:34,040 Speaker 1: they are. But when you're in the middle of conducting 5 00:00:34,120 --> 00:00:42,000 Speaker 1: an investigation into an obvious homicide and a pattern begins 6 00:00:42,080 --> 00:00:50,320 Speaker 1: to appear in other cases, there's this little thing that 7 00:00:50,360 --> 00:00:54,000 Speaker 1: occurs in your brain. And I used to think that 8 00:00:54,080 --> 00:00:59,480 Speaker 1: I would get distracted from other cases that did not 9 00:00:59,680 --> 00:01:02,640 Speaker 1: have the same patterns because you get I don't know, 10 00:01:02,720 --> 00:01:06,120 Speaker 1: it's it's almost like a in a hyper state of awareness, 11 00:01:06,319 --> 00:01:10,919 Speaker 1: I think, because you know, you see, you know, investigators 12 00:01:10,920 --> 00:01:13,560 Speaker 1: are no different than anybody else. You know, you begin 13 00:01:13,600 --> 00:01:19,000 Speaker 1: to see the Boogeyman everywhere you go. But the hardcore 14 00:01:19,120 --> 00:01:28,120 Speaker 1: reality is is that the boogeyman does exist. And today 15 00:01:29,000 --> 00:01:36,960 Speaker 1: I want to speak to a particular case of a teenager, 16 00:01:37,560 --> 00:01:44,480 Speaker 1: a teen girl who died many, many years ago, but 17 00:01:44,560 --> 00:01:49,200 Speaker 1: yet her death was shrouded in mystery for a long time, 18 00:01:51,400 --> 00:01:54,480 Speaker 1: and I think that it's important that we discuss it 19 00:01:54,920 --> 00:02:01,600 Speaker 1: because she fell victim to a boogeyman. She fell victim 20 00:02:04,280 --> 00:02:10,799 Speaker 1: to Gary Ridgeway, otherwise known as a Green River killer. 21 00:02:12,720 --> 00:02:21,399 Speaker 1: I'm Joseph Scott Morgan and this is Bodybags. I think 22 00:02:21,400 --> 00:02:26,000 Speaker 1: that Dave, you and I kind of came to maturity 23 00:02:26,560 --> 00:02:28,240 Speaker 1: as young adults. 24 00:02:28,440 --> 00:02:31,080 Speaker 2: Okay, Joe, stop before you guys get worried that this 25 00:02:31,160 --> 00:02:32,919 Speaker 2: is going to be some kind of summer of forty 26 00:02:32,960 --> 00:02:34,920 Speaker 2: two boys becoming men show. 27 00:02:34,960 --> 00:02:35,280 Speaker 3: It's not. 28 00:02:36,200 --> 00:02:41,280 Speaker 2: This show today is about Tammy Lyles directly and indirectly. 29 00:02:41,600 --> 00:02:44,040 Speaker 2: Tammy Lyles was only sixteen years old when she was 30 00:02:44,120 --> 00:02:47,320 Speaker 2: murdered by Gary Ridgway, known to many as the Green 31 00:02:47,440 --> 00:02:51,480 Speaker 2: River serial killer. Gary Ridgway killed forty nine women and girls. 32 00:02:51,760 --> 00:02:54,880 Speaker 2: Tammy Lyles was just sixteen when she met Gary Ridgeway 33 00:02:54,919 --> 00:02:57,640 Speaker 2: and he killed her. It took years for her for 34 00:02:57,680 --> 00:02:59,880 Speaker 2: her to be identified, for her family to know for 35 00:03:00,160 --> 00:03:02,799 Speaker 2: sure this was our Tammy. As a matter of fact, 36 00:03:02,880 --> 00:03:05,440 Speaker 2: for a year she was called bones twenty. But it 37 00:03:05,480 --> 00:03:08,519 Speaker 2: took the people at Authorm Labs and the work they 38 00:03:08,600 --> 00:03:11,440 Speaker 2: do that goes beyond the pail. 39 00:03:11,520 --> 00:03:12,280 Speaker 3: It's just as. 40 00:03:12,520 --> 00:03:16,120 Speaker 2: Fascinating, incredible work. And I think about every time they 41 00:03:16,200 --> 00:03:21,040 Speaker 2: solve a case genetically using genetic genealogy, it's another family 42 00:03:21,080 --> 00:03:25,600 Speaker 2: that now has peace and comfort. Joe and I both 43 00:03:25,600 --> 00:03:28,160 Speaker 2: don't like to say closure, but peace and comfort. Knowing 44 00:03:29,000 --> 00:03:33,160 Speaker 2: knowing that's the key. So I wanted to make sure 45 00:03:33,240 --> 00:03:35,119 Speaker 2: y'all know that's what we're talking about today. Green River, 46 00:03:35,160 --> 00:03:40,320 Speaker 2: Sarah Killer Authoram Labs, and sixteen year old Tammy Lyles. Now, Joe, 47 00:03:40,640 --> 00:03:42,720 Speaker 2: let's go back to the summer of forty two. 48 00:03:42,840 --> 00:03:47,560 Speaker 1: I'm speaking to myself. I can't speak to you. 49 00:03:48,000 --> 00:03:50,560 Speaker 2: We're the same, We heard the same agent of parallel 50 00:03:50,560 --> 00:03:53,560 Speaker 2: existences in our private lives before we ever met one another. 51 00:03:54,000 --> 00:03:57,280 Speaker 1: Yeah, you're right, it's weird how people get connected that way. 52 00:03:57,400 --> 00:04:01,440 Speaker 1: But we came of age. I think at at an 53 00:04:01,480 --> 00:04:07,720 Speaker 1: interesting time, particularly from a crime history perspective, because it 54 00:04:07,840 --> 00:04:11,160 Speaker 1: seems as though that the world that we that we 55 00:04:11,200 --> 00:04:15,640 Speaker 1: inhabited back then, serial killers were talked about. They seemed 56 00:04:15,640 --> 00:04:17,320 Speaker 1: to be. I know that they talk about him now 57 00:04:17,480 --> 00:04:21,080 Speaker 1: in true crime world, but back then, you know, I 58 00:04:21,120 --> 00:04:24,240 Speaker 1: can reflect back and think about all these serial perpetrators 59 00:04:24,279 --> 00:04:26,120 Speaker 1: that were out there when I was a young guy, 60 00:04:26,880 --> 00:04:31,400 Speaker 1: and they were it seems like that they were everywhere. 61 00:04:31,560 --> 00:04:34,200 Speaker 2: Because of Ted Bundy more than anything else. Ted Bundy 62 00:04:34,240 --> 00:04:37,040 Speaker 2: because he was that, he was attractive, he had been big, 63 00:04:37,080 --> 00:04:39,520 Speaker 2: and you know, they they talked about him being very 64 00:04:39,560 --> 00:04:43,320 Speaker 2: big in Washington State politics. He really wasn't, but because 65 00:04:43,440 --> 00:04:49,000 Speaker 2: his story was so remarkable and and rule writing the 66 00:04:49,000 --> 00:04:53,600 Speaker 2: book The Stranger Beside Me actually illuminated this whole world 67 00:04:53,720 --> 00:04:57,159 Speaker 2: of the good looking guy that you would be happy 68 00:04:57,160 --> 00:05:00,480 Speaker 2: for your daughter to date is actually killing women who 69 00:05:00,600 --> 00:05:04,440 Speaker 2: looked like his first real love. But then we had 70 00:05:04,440 --> 00:05:08,280 Speaker 2: in the seventies, we had his escape from jail twice 71 00:05:08,680 --> 00:05:11,640 Speaker 2: if you remember, oh yeah, that was the two you know, 72 00:05:11,760 --> 00:05:14,039 Speaker 2: run Ted run kind of stuff, a run Bundy run, 73 00:05:14,080 --> 00:05:16,440 Speaker 2: whatever it was. We had that all over the press. 74 00:05:16,920 --> 00:05:19,159 Speaker 2: And then in the eighties we had all of the 75 00:05:19,320 --> 00:05:22,520 Speaker 2: other things. We had the Green River killer in the 76 00:05:22,560 --> 00:05:24,560 Speaker 2: news because they labeled. 77 00:05:24,160 --> 00:05:24,599 Speaker 3: It that way. 78 00:05:24,600 --> 00:05:27,600 Speaker 2: But in the meantime, we had Ted Bundy reaching out 79 00:05:27,640 --> 00:05:30,680 Speaker 2: to the press because he was on death row and 80 00:05:30,720 --> 00:05:32,560 Speaker 2: they kept trying to kill him and he kept trying 81 00:05:32,600 --> 00:05:34,760 Speaker 2: to fight it off. And so every time a serial 82 00:05:34,839 --> 00:05:37,800 Speaker 2: killer started being covered in the press, Ted Bundy got 83 00:05:37,800 --> 00:05:40,240 Speaker 2: his wheels in motion to get the press back on him. 84 00:05:40,640 --> 00:05:43,760 Speaker 3: It was amazing. Yeah, it really was in a bad way. 85 00:05:43,880 --> 00:05:46,960 Speaker 1: Amazing Yeah yeah, no, no, really in a reality in 86 00:05:47,080 --> 00:05:51,600 Speaker 1: a realistic way, because I think that you know, it 87 00:05:51,640 --> 00:05:54,480 Speaker 1: goes to people throw around the term of narcissism all 88 00:05:54,520 --> 00:06:00,200 Speaker 1: the time nowadays, and it's certainly I think that it 89 00:06:00,240 --> 00:06:08,240 Speaker 1: is very uh it's it is symptomatic of narcissism relative 90 00:06:08,279 --> 00:06:12,440 Speaker 1: to him and he you know, he uh he he 91 00:06:12,520 --> 00:06:15,560 Speaker 1: would draw the spotlight back to him. And I think 92 00:06:15,600 --> 00:06:19,640 Speaker 1: back we had Richard Maris. Wow, we had the hillside 93 00:06:19,640 --> 00:06:21,520 Speaker 1: strang GluRs. It's not stranged GluR. 94 00:06:22,320 --> 00:06:22,640 Speaker 3: Uh. 95 00:06:23,360 --> 00:06:25,520 Speaker 1: For a while it was singular, but then you've got 96 00:06:25,520 --> 00:06:28,599 Speaker 1: this team of guys. And then going back even further 97 00:06:28,680 --> 00:06:33,960 Speaker 1: than that, you know, you you had uh yeah, Tate 98 00:06:34,040 --> 00:06:38,240 Speaker 1: lot Bianca. But I was thinking about uh uh he 99 00:06:38,520 --> 00:06:42,799 Speaker 1: refused to be called Otis but ottis Tool and uh 100 00:06:43,440 --> 00:06:47,760 Speaker 1: that Wascas and they worked in tandem. And actually I 101 00:06:48,160 --> 00:06:52,840 Speaker 1: had I didn't have direct contact with with Ottis O 102 00:06:53,000 --> 00:06:55,320 Speaker 1: t I s. He preferred to be called by that, 103 00:06:55,360 --> 00:07:00,480 Speaker 1: but Otis uh otis tool. They worked in hand them. 104 00:07:00,600 --> 00:07:05,520 Speaker 1: If you've ever seen Henry Portrait of serial Killer, very 105 00:07:05,560 --> 00:07:10,000 Speaker 1: disturbing film, but that you know, those two worked in 106 00:07:10,240 --> 00:07:14,320 Speaker 1: Interestingly enough, when I was with a corner in New Orleans, 107 00:07:15,520 --> 00:07:20,160 Speaker 1: they brought Oddis Tool to my jurisdiction. And one of 108 00:07:20,160 --> 00:07:22,440 Speaker 1: the little traps that a lot of investigators would fall 109 00:07:22,480 --> 00:07:25,280 Speaker 1: into back then was the fact that these guys would 110 00:07:25,320 --> 00:07:27,400 Speaker 1: be cool on their heels in jail. I think Ottis 111 00:07:27,480 --> 00:07:31,080 Speaker 1: was in Florida Penitentiary at that point in time, and 112 00:07:31,120 --> 00:07:34,440 Speaker 1: they brought him to New Orleans because he claimed that 113 00:07:34,480 --> 00:07:38,600 Speaker 1: he could tell tell authorities where bodies were, and you know, 114 00:07:38,640 --> 00:07:41,680 Speaker 1: he kind of made the rounds relative to that. And 115 00:07:43,040 --> 00:07:47,880 Speaker 1: with Ridgeway, there's an element of that with Ridgeway, Gary 116 00:07:47,920 --> 00:07:52,120 Speaker 1: Ridgeway the Green River Killer, because he took he took 117 00:07:52,160 --> 00:07:55,800 Speaker 1: the authorities out to a variety of sites and he 118 00:07:55,960 --> 00:07:59,880 Speaker 1: had a huge body count. I think that some people, 119 00:08:00,520 --> 00:08:06,000 Speaker 1: you know, believe that that he was really responsible for 120 00:08:06,240 --> 00:08:09,360 Speaker 1: far more than he had claimed. And I don't know 121 00:08:09,400 --> 00:08:15,000 Speaker 1: if that if that goes to his he's trying to, 122 00:08:15,920 --> 00:08:19,960 Speaker 1: you know, bait the authorities with with that or if 123 00:08:20,000 --> 00:08:23,320 Speaker 1: it's if it's reality. You never can tell because it's 124 00:08:23,360 --> 00:08:27,360 Speaker 1: such a deceptive game that they play, you know. But 125 00:08:27,440 --> 00:08:32,000 Speaker 1: for me, what's really cool, Dave, is that I had 126 00:08:32,240 --> 00:08:33,800 Speaker 1: I'm not gonna say it was life changing, but I 127 00:08:33,840 --> 00:08:36,120 Speaker 1: had a real peak behind the curtain a couple of 128 00:08:36,120 --> 00:08:39,480 Speaker 1: weeks ago, and I got to go to Authorm Labs 129 00:08:40,679 --> 00:08:44,680 Speaker 1: down in the woodlands outside of Houston, Houston, Texas, and 130 00:08:44,720 --> 00:08:46,520 Speaker 1: they have a direct bearing on the case we're going 131 00:08:46,600 --> 00:08:49,760 Speaker 1: to talk talk about today and the work that they're 132 00:08:49,800 --> 00:08:53,800 Speaker 1: doing in forensic genetic genealogy, and so I think that 133 00:08:53,840 --> 00:08:58,319 Speaker 1: it's important that we try to understand our victim today 134 00:08:58,520 --> 00:09:03,640 Speaker 1: that we're gonna talk about, Sami Lawles, and she's what 135 00:09:03,679 --> 00:09:06,719 Speaker 1: they believe is the youngest victim of the Green rip 136 00:09:06,840 --> 00:09:08,760 Speaker 1: killer and AUTHORN played a big role in this day. 137 00:09:09,200 --> 00:09:12,680 Speaker 2: You know, it's amazing that for those of us who 138 00:09:12,760 --> 00:09:15,680 Speaker 2: watched the trial of the century, maybe one of the 139 00:09:15,760 --> 00:09:18,319 Speaker 2: last trials of the century for the nineteen hundreds was 140 00:09:18,360 --> 00:09:20,960 Speaker 2: the O. J. Simpson trial, where we heard a lot 141 00:09:20,960 --> 00:09:23,319 Speaker 2: about DNA for the first time for many of us 142 00:09:23,520 --> 00:09:27,679 Speaker 2: as observers of crime related stuff, that story was all 143 00:09:27,679 --> 00:09:30,360 Speaker 2: about DNA, it seemed at the end. And I think 144 00:09:30,600 --> 00:09:32,360 Speaker 2: there's a whole lot more that could be told. But 145 00:09:32,640 --> 00:09:37,560 Speaker 2: the bottom line here is that because of so many 146 00:09:37,640 --> 00:09:40,559 Speaker 2: of us knowing about DNA because of the oj trial 147 00:09:40,600 --> 00:09:43,160 Speaker 2: and what has happened since then, I think it's important 148 00:09:43,280 --> 00:09:48,160 Speaker 2: for people to understand to know that AUTHORM they're not 149 00:09:48,320 --> 00:09:52,960 Speaker 2: some heavily funded government entity that's got a staff of 150 00:09:53,320 --> 00:09:56,680 Speaker 2: you know, with billions of dollars pouring in. They it's 151 00:09:56,720 --> 00:09:58,680 Speaker 2: amazing to me, and we'll cover this more to what 152 00:09:58,720 --> 00:10:01,440 Speaker 2: they but they actually have to crowd fund to do 153 00:10:01,520 --> 00:10:04,280 Speaker 2: stories like if you have a loved one that was 154 00:10:04,360 --> 00:10:07,319 Speaker 2: murdered and you're trying to solve it has been years 155 00:10:07,320 --> 00:10:10,120 Speaker 2: and years and years, and you know, there's no statute 156 00:10:10,120 --> 00:10:12,640 Speaker 2: of limitations on murder and the only evidence you have 157 00:10:12,800 --> 00:10:15,559 Speaker 2: is this sample of DNA and you've they've been able 158 00:10:15,640 --> 00:10:18,439 Speaker 2: to do nothing with it, and it's twenty years later. 159 00:10:19,080 --> 00:10:20,439 Speaker 2: Authorn can do something with it. 160 00:10:20,559 --> 00:10:23,200 Speaker 1: They can try, Yeah, they can, and it kind of 161 00:10:23,240 --> 00:10:26,600 Speaker 1: bifurcates in the sense of how it's utilized. I got 162 00:10:26,600 --> 00:10:31,160 Speaker 1: to meet and spend time with David Mettleman, who is 163 00:10:31,200 --> 00:10:36,400 Speaker 1: the director and CEO, and his brilliant wife, Kristin Mittleman, 164 00:10:37,480 --> 00:10:41,400 Speaker 1: and they've run this thing and created something essentially from 165 00:10:41,480 --> 00:10:42,280 Speaker 1: the ground up. 166 00:10:42,280 --> 00:10:44,080 Speaker 3: And wow, I didn't know that. 167 00:10:44,720 --> 00:10:47,720 Speaker 2: Actually, yeah, there's going to have to be a movie 168 00:10:47,720 --> 00:10:49,520 Speaker 2: on this, you know, Yeah. 169 00:10:49,160 --> 00:10:52,280 Speaker 1: I think that it would be perfect and they're fantastic. 170 00:10:52,320 --> 00:10:56,040 Speaker 1: And David, if you ever enter, and I know that 171 00:10:56,120 --> 00:10:58,480 Speaker 1: a lot of people may be in can state this, 172 00:10:58,720 --> 00:11:03,600 Speaker 1: if you've never been a around a true savant somebody 173 00:11:03,720 --> 00:11:07,560 Speaker 1: that if you're around them, their intellect seems to be 174 00:11:07,679 --> 00:11:12,520 Speaker 1: off the scale. I'd say that David fits within that category. 175 00:11:12,600 --> 00:11:14,719 Speaker 1: He is brilliant. But you know, the thing about it 176 00:11:14,800 --> 00:11:22,560 Speaker 1: is is that his brilliance doesn't stifle his compassion. And 177 00:11:22,600 --> 00:11:25,480 Speaker 1: it's one thing, you know, it's one thing to say 178 00:11:25,640 --> 00:11:28,000 Speaker 1: we can sit around all day long and say how 179 00:11:28,000 --> 00:11:31,280 Speaker 1: compassionate we are, but you know you and I believe 180 00:11:31,320 --> 00:11:36,400 Speaker 1: that you're You know that your abilities are proven through 181 00:11:36,480 --> 00:11:40,360 Speaker 1: your actions, and you know, put the words into motion, 182 00:11:40,679 --> 00:11:45,800 Speaker 1: put those you know what, otherwise would just be worthless platitudes. 183 00:11:46,800 --> 00:11:52,480 Speaker 1: His goal, which is fascinating to me, is not only 184 00:11:52,520 --> 00:11:56,840 Speaker 1: to help solve crimes, which is part of it. That's 185 00:11:56,840 --> 00:12:00,400 Speaker 1: why this is a bifurcated discussion. Is to solve help 186 00:12:00,480 --> 00:12:04,800 Speaker 1: solve crimes, to bring people, to hold people responsible for 187 00:12:05,080 --> 00:12:08,480 Speaker 1: these horrible things that they've done. But also the other 188 00:12:08,520 --> 00:12:13,000 Speaker 1: part that he's engaged in is trying to get the 189 00:12:13,200 --> 00:12:19,200 Speaker 1: thousands and thousands and thousands of bodies that are out 190 00:12:19,200 --> 00:12:24,240 Speaker 1: there identified and to help families know that have been 191 00:12:24,280 --> 00:12:28,280 Speaker 1: missing loved ones, that there is always an empty chair 192 00:12:29,000 --> 00:12:32,559 Speaker 1: at Christmas time or Thanksgiving or whatever holiday they celebrate, 193 00:12:33,280 --> 00:12:36,480 Speaker 1: and you never know what had happened to those individuals. 194 00:12:37,360 --> 00:12:40,160 Speaker 1: And you know, Dave, I got to tell you. I 195 00:12:40,200 --> 00:12:46,760 Speaker 1: was having a conversation with David Meddleman and we were 196 00:12:46,760 --> 00:12:52,760 Speaker 1: standing out on this sun drenched porch in the Texas heat, 197 00:12:54,040 --> 00:12:56,840 Speaker 1: and he looked at me and he said, you know, 198 00:12:56,920 --> 00:13:02,760 Speaker 1: my goal is to get the database for name US, 199 00:13:03,440 --> 00:13:06,720 Speaker 1: which is the database for all of the unidentified bodies 200 00:13:06,720 --> 00:13:10,120 Speaker 1: that we have that are out there. My goal and 201 00:13:10,160 --> 00:13:13,439 Speaker 1: should be the goal of everyone, to clear that database 202 00:13:13,440 --> 00:13:19,200 Speaker 1: out and get everybody known to the world once again, 203 00:13:34,840 --> 00:13:37,760 Speaker 1: sixteen years old. No, you're not an adult in it, 204 00:13:38,400 --> 00:13:42,320 Speaker 1: but you know, sometimes dependent upon the circumstances that a 205 00:13:42,360 --> 00:13:46,400 Speaker 1: sixteen year old is in, they have to face horrors 206 00:13:46,520 --> 00:13:50,120 Speaker 1: that you would think would otherwise only be reserved for adults. 207 00:13:51,000 --> 00:13:54,240 Speaker 1: And of course, in the case that we're speaking of 208 00:13:54,320 --> 00:13:59,000 Speaker 1: today with Tammy Lyles, she faced that horror. She faced 209 00:13:59,000 --> 00:14:03,400 Speaker 1: this devil, this book man and Gary Ridgeway, and it's 210 00:14:03,440 --> 00:14:07,000 Speaker 1: still amazing that first off, that they were ever even 211 00:14:07,040 --> 00:14:08,840 Speaker 1: able to get her identified. 212 00:14:08,960 --> 00:14:15,840 Speaker 2: David, the entire spectrum of the Green River Killer covers 213 00:14:16,360 --> 00:14:20,520 Speaker 2: so many years, so much investigation, so much press. This 214 00:14:20,760 --> 00:14:24,760 Speaker 2: was not something that was just discovered one day and 215 00:14:25,080 --> 00:14:28,160 Speaker 2: they researched it back as a history lesson. This was 216 00:14:28,240 --> 00:14:33,200 Speaker 2: ongoing in the moment coverage of what was happening with 217 00:14:33,480 --> 00:14:38,280 Speaker 2: these women who were being killed. And Gary Ridgeway, he 218 00:14:38,400 --> 00:14:43,520 Speaker 2: was actually on the police radar early on, but just 219 00:14:43,600 --> 00:14:45,720 Speaker 2: kept on truck and they never had enough to really 220 00:14:45,760 --> 00:14:49,479 Speaker 2: do anything with him, but he was somebody they considered 221 00:14:49,600 --> 00:14:54,600 Speaker 2: up there as we look at Tammy Lyles when her 222 00:14:54,720 --> 00:14:59,600 Speaker 2: bones were I apologize if you're if you are one 223 00:14:59,600 --> 00:15:03,040 Speaker 2: of tam these relatives or somebody that knew her as 224 00:15:03,080 --> 00:15:08,000 Speaker 2: a living individual. This is no disrespect, it's but to 225 00:15:08,040 --> 00:15:10,320 Speaker 2: be truthful, we have to describe what was found, when 226 00:15:10,320 --> 00:15:12,000 Speaker 2: it was found, where it was found, how it was 227 00:15:12,120 --> 00:15:14,200 Speaker 2: And I'm so sorry. If this was my love, no, 228 00:15:14,280 --> 00:15:16,920 Speaker 2: I don't know how I would feel about this. But 229 00:15:17,840 --> 00:15:21,160 Speaker 2: in this case, she was finally identified. She was not 230 00:15:21,280 --> 00:15:24,120 Speaker 2: identified for a long time. And that's why I have 231 00:15:24,160 --> 00:15:27,960 Speaker 2: a question for you about that, Joe, because they had 232 00:15:28,080 --> 00:15:33,160 Speaker 2: labeled her as the Green River serial killer's final victim 233 00:15:33,720 --> 00:15:37,920 Speaker 2: identified sixteen year old Tammy Lyles at the age of sixteen. 234 00:15:38,440 --> 00:15:39,280 Speaker 3: She was murdered. 235 00:15:39,600 --> 00:15:46,080 Speaker 2: Her remains were known as bones twenty. Didn't they have 236 00:15:46,200 --> 00:15:49,280 Speaker 2: an identity. Didn't they know who she was before they 237 00:15:49,440 --> 00:15:52,400 Speaker 2: used DNA to confirm what they thought? 238 00:15:53,480 --> 00:15:57,080 Speaker 1: Yeah, they had gotten an ID on her years after 239 00:15:57,280 --> 00:16:00,880 Speaker 1: she had gone missing, and her remains had been recovered. Okay, 240 00:16:01,360 --> 00:16:04,040 Speaker 1: there was kind of a partial skeletal remain that was 241 00:16:04,040 --> 00:16:08,680 Speaker 1: found of her, which is not uncommon. You know, when, 242 00:16:09,240 --> 00:16:14,480 Speaker 1: particularly when you have what referred to as surface remains, 243 00:16:14,560 --> 00:16:19,440 Speaker 1: those remains that are not buried, you're very fortunate, You're 244 00:16:19,560 --> 00:16:21,840 Speaker 1: very fortunate to find anything at all. In her case, 245 00:16:21,920 --> 00:16:24,680 Speaker 1: they did, and I think that that task was achieved 246 00:16:24,680 --> 00:16:25,920 Speaker 1: through dental examination. 247 00:16:26,200 --> 00:16:31,200 Speaker 2: Okay, because Tammy Lyles's body was found bones called Bones twenty. 248 00:16:31,880 --> 00:16:36,520 Speaker 2: She had been last seen in downtown Seattle, Washington, June 249 00:16:36,560 --> 00:16:41,120 Speaker 2: of eighty three, at the age of sixteen. She was 250 00:16:41,480 --> 00:16:46,040 Speaker 2: one of two unidentified women whose remains were found near Tiggard, Oregon, 251 00:16:46,960 --> 00:16:50,960 Speaker 2: nineteen eighty five, two years after she went After she 252 00:16:51,040 --> 00:16:55,880 Speaker 2: vanished from downtown Seattle, her remains found near Tiggered, Oregon. 253 00:16:56,600 --> 00:17:00,760 Speaker 2: She had been considered one of Bridgeway's potential victims since 254 00:17:01,240 --> 00:17:04,679 Speaker 2: way back, I like ninety eight or eighty eight. Rather, so, 255 00:17:05,400 --> 00:17:08,399 Speaker 2: she goes missing in eighty three, her bones are recovered 256 00:17:08,400 --> 00:17:12,080 Speaker 2: in eighty five, and by eighty eight they did consider 257 00:17:12,160 --> 00:17:16,600 Speaker 2: her part of the Green River killer victims. And that's 258 00:17:16,600 --> 00:17:20,040 Speaker 2: why I was curious about the identification. It was an 259 00:17:20,080 --> 00:17:23,959 Speaker 2: incomplete set of bones and teeth that were just and 260 00:17:26,160 --> 00:17:28,760 Speaker 2: if I get some of these confused too, and I 261 00:17:28,760 --> 00:17:31,399 Speaker 2: am so sorry, but you know, there was one of 262 00:17:31,400 --> 00:17:34,240 Speaker 2: the stories that I remember Joe where they were at 263 00:17:34,240 --> 00:17:38,960 Speaker 2: a ball field and a dog came running up to 264 00:17:39,240 --> 00:17:41,680 Speaker 2: the coach who was working on the field and had 265 00:17:41,720 --> 00:17:43,399 Speaker 2: a leg bone in his mouth. 266 00:17:44,160 --> 00:17:46,919 Speaker 3: And can you imagine what that would be like? 267 00:17:47,560 --> 00:17:50,840 Speaker 1: Yeah, and for our listeners. 268 00:17:50,480 --> 00:17:52,600 Speaker 3: Oh, that's not Tammy by the way. 269 00:17:53,040 --> 00:17:55,320 Speaker 1: No, no, no, no, that's not that's not Tammy. But 270 00:17:57,440 --> 00:18:03,520 Speaker 1: when you have when you have canones that are running, uh, 271 00:18:04,000 --> 00:18:06,760 Speaker 1: running a field if you will. Uh, there are a 272 00:18:06,880 --> 00:18:11,639 Speaker 1: number of cases. Uh. And for some reason, dogs are 273 00:18:11,680 --> 00:18:16,040 Speaker 1: attracted to skulls as well. It's almost like they're you know, 274 00:18:16,119 --> 00:18:19,920 Speaker 1: commonly you think about dogs having long bones. They're laying 275 00:18:20,000 --> 00:18:23,280 Speaker 1: in shade, maybe they're chewing on a long bone of 276 00:18:23,320 --> 00:18:26,639 Speaker 1: some kind. Generally you don't expect that to be a 277 00:18:26,720 --> 00:18:30,560 Speaker 1: human bone. But uh, I can think of two cases 278 00:18:30,800 --> 00:18:35,480 Speaker 1: right off the top of my head where I had 279 00:18:35,920 --> 00:18:39,480 Speaker 1: dogs that walked up in the yard of some unsuspecting 280 00:18:39,560 --> 00:18:44,640 Speaker 1: person's home with a skull uh, And they treat them 281 00:18:44,680 --> 00:18:47,760 Speaker 1: almost like balls many times, and they'll have them poised 282 00:18:47,800 --> 00:18:50,359 Speaker 1: between their paws like this, and they'll you know, they'll 283 00:18:50,680 --> 00:18:54,000 Speaker 1: they'll be chewing uh and working on those bones the 284 00:18:54,160 --> 00:18:58,240 Speaker 1: entire time. And they, you know, canines seem to find 285 00:18:58,440 --> 00:19:02,199 Speaker 1: find this, find great joy in doing this, and so 286 00:19:02,359 --> 00:19:05,000 Speaker 1: it's not unusual for an animal to come walking up 287 00:19:05,040 --> 00:19:05,560 Speaker 1: with a bone. 288 00:19:06,240 --> 00:19:08,600 Speaker 2: If I could have answered a question for a million dollars, 289 00:19:08,640 --> 00:19:10,679 Speaker 2: I never would have guessed that a dog would be 290 00:19:10,720 --> 00:19:11,960 Speaker 2: fascinated with the head. 291 00:19:12,480 --> 00:19:13,639 Speaker 3: I never would all about that. 292 00:19:14,000 --> 00:19:16,800 Speaker 1: Yeah, it's it's like that. I think that it's if 293 00:19:17,119 --> 00:19:19,399 Speaker 1: anyone has ever seen a dog with a ball between 294 00:19:19,440 --> 00:19:23,119 Speaker 1: their paws kind of playing in the backyard with it, 295 00:19:23,119 --> 00:19:25,800 Speaker 1: it's you know, it's kind of like that, only they 296 00:19:25,840 --> 00:19:28,479 Speaker 1: see it as a source of protein. That's, you know, 297 00:19:28,600 --> 00:19:31,080 Speaker 1: just like we're no different, you know, our bodies are 298 00:19:31,080 --> 00:19:35,159 Speaker 1: no different after death like that. That. Wow, that's one 299 00:19:35,160 --> 00:19:37,359 Speaker 1: of the things that attracts and so you never know. 300 00:19:37,480 --> 00:19:40,440 Speaker 1: And here's the other thing is that if you if 301 00:19:40,440 --> 00:19:45,119 Speaker 1: you have a skeletal remain and the dog grabs a 302 00:19:45,119 --> 00:19:48,200 Speaker 1: skelter remain brings in one element of it, you don't 303 00:19:48,240 --> 00:19:53,520 Speaker 1: know where that originated from. And so with Ridgeway, Gary 304 00:19:53,600 --> 00:19:57,480 Speaker 1: Ridgeway and all of these victims, including Tammy Lyles, he 305 00:19:57,560 --> 00:20:00,640 Speaker 1: perpetrated these crimes so that he had the he remained 306 00:20:00,720 --> 00:20:05,800 Speaker 1: spread out in let's see how the distribution of the 307 00:20:05,840 --> 00:20:09,679 Speaker 1: remains was all over King County, and so you didn't 308 00:20:09,760 --> 00:20:13,960 Speaker 1: always know. He didn't have like a specific location he 309 00:20:14,000 --> 00:20:16,240 Speaker 1: would go to, but he would do particular things with 310 00:20:16,320 --> 00:20:19,320 Speaker 1: the bodies, some of them that they could still appreciate. 311 00:20:19,359 --> 00:20:22,680 Speaker 1: Sometimes he'd lined bodies up, he'd go to these particular 312 00:20:22,760 --> 00:20:25,560 Speaker 1: areas where he was just kind of keeping them. And 313 00:20:25,560 --> 00:20:29,200 Speaker 1: so they've got these almost like commingaled remains. They even 314 00:20:29,240 --> 00:20:31,879 Speaker 1: put forth the idea that he's posing some of these 315 00:20:31,920 --> 00:20:36,800 Speaker 1: bodies after death and the fact that he would do this. 316 00:20:36,960 --> 00:20:40,919 Speaker 1: And the other thing about Ridgeway is that he's not 317 00:20:41,040 --> 00:20:43,159 Speaker 1: one of these brilliant guys. He doesn't have like an 318 00:20:43,200 --> 00:20:46,720 Speaker 1: IQ that's off the chart. He was just singularly focused 319 00:20:47,280 --> 00:20:52,000 Speaker 1: on what he was doing and he you know, he 320 00:20:52,160 --> 00:20:56,879 Speaker 1: worked for years and years and this plays into the 321 00:20:56,880 --> 00:20:59,560 Speaker 1: story as well. He worked for years and years as 322 00:20:59,600 --> 00:21:02,600 Speaker 1: a not just a car painter or an automotive painter, 323 00:21:02,760 --> 00:21:06,880 Speaker 1: but a painter of trucks specifically, like you know, big 324 00:21:06,920 --> 00:21:09,919 Speaker 1: Peter Bilts and Mac trucks. That's what he did, and 325 00:21:10,000 --> 00:21:13,720 Speaker 1: he maintained that job all of these years while still 326 00:21:13,760 --> 00:21:18,640 Speaker 1: going out and perpetrating these crops, which is fascinating as 327 00:21:18,640 --> 00:21:21,159 Speaker 1: far as I'm concerned, he was just singularly focused on 328 00:21:21,240 --> 00:21:26,400 Speaker 1: this obsession that he had with killing prostitutes and then 329 00:21:26,600 --> 00:21:28,000 Speaker 1: disregarding their remains. 330 00:21:28,280 --> 00:21:31,480 Speaker 2: It's still amazing to me that he was. Gary Ridgeway 331 00:21:32,600 --> 00:21:36,920 Speaker 2: was a suspect early on, from at least eighty seven, 332 00:21:36,960 --> 00:21:40,359 Speaker 2: and that's when we publicly knew about him in terms 333 00:21:40,440 --> 00:21:43,439 Speaker 2: of the investigation. But they suspected him. As you mentioned, 334 00:21:43,440 --> 00:21:45,879 Speaker 2: he was not as clever or as intelligent as some 335 00:21:46,000 --> 00:21:48,920 Speaker 2: others that we have dealt with, but still he got 336 00:21:48,960 --> 00:21:51,720 Speaker 2: away with it for a whole lot longer than many 337 00:21:51,760 --> 00:21:55,520 Speaker 2: of them ever did. And the damage he did to families. 338 00:21:55,800 --> 00:21:59,120 Speaker 2: I think of the how one person can effect. One 339 00:21:59,160 --> 00:22:03,480 Speaker 2: person's death affects so many people. Now you're talking fifty 340 00:22:04,080 --> 00:22:07,680 Speaker 2: you know, you're talking a lot of extended people directly 341 00:22:07,720 --> 00:22:14,920 Speaker 2: and indirectly affected by what this one person did. And 342 00:22:14,960 --> 00:22:17,560 Speaker 2: that's what I think is the most shocking to talk 343 00:22:17,560 --> 00:22:19,879 Speaker 2: about people in bones and things like that. When you 344 00:22:19,920 --> 00:22:22,440 Speaker 2: had a girl at sixteen years old, his youngest victim 345 00:22:22,560 --> 00:22:26,040 Speaker 2: was fourteen, or the youngest one we know about was fourteen, 346 00:22:26,080 --> 00:22:28,600 Speaker 2: but you know still Tammy Lyles was sixteen years old. 347 00:22:29,440 --> 00:22:33,719 Speaker 2: Her bones helped identify who she was with the as 348 00:22:33,760 --> 00:22:37,400 Speaker 2: you mentioned the teeth, using those as identity, but they 349 00:22:37,400 --> 00:22:41,439 Speaker 2: weren't actually able to get the whole picture pulled together 350 00:22:41,720 --> 00:22:46,120 Speaker 2: on on Tammy Lyles until they were able to get 351 00:22:46,160 --> 00:22:50,600 Speaker 2: the DNA tested. And when you start with so little evidence, Joe, 352 00:22:50,880 --> 00:22:54,440 Speaker 2: and you don't have soft tissue, you don't have anything 353 00:22:54,520 --> 00:22:58,280 Speaker 2: except the bones, what do you do as an investigator 354 00:22:59,160 --> 00:23:02,800 Speaker 2: to try to find out who this person is and 355 00:23:02,840 --> 00:23:05,720 Speaker 2: how they ended up where they are when they are discovered. 356 00:23:06,760 --> 00:23:09,280 Speaker 1: Yeah, well that's a lot of that is going to 357 00:23:09,320 --> 00:23:14,040 Speaker 1: rest heavily upon. First off, your first stop along the 358 00:23:14,040 --> 00:23:18,159 Speaker 1: continuum here is anthropology. I would imagine that many of 359 00:23:18,160 --> 00:23:20,920 Speaker 1: our friends have all heard of the body Farm. That's 360 00:23:21,000 --> 00:23:23,199 Speaker 1: one of the reasons the Body Farm does the research 361 00:23:23,320 --> 00:23:28,919 Speaker 1: that they do, because you're dealing with decomposing skeletal remains, 362 00:23:29,600 --> 00:23:32,280 Speaker 1: and you have to be able to these people that 363 00:23:32,320 --> 00:23:36,080 Speaker 1: go out and practice as anthropologists. They can't put most 364 00:23:36,119 --> 00:23:39,639 Speaker 1: of the time a real fine point on identification, so 365 00:23:39,680 --> 00:23:43,240 Speaker 1: they're looking in very broad ways at the bones that 366 00:23:43,280 --> 00:23:47,920 Speaker 1: they have. You know, they'll try to categorize the bones 367 00:23:48,080 --> 00:23:51,000 Speaker 1: by virtue of race and that you really need a 368 00:23:51,040 --> 00:23:52,960 Speaker 1: skull for that, and of course in many of these 369 00:23:53,000 --> 00:23:54,600 Speaker 1: cases you're not going to have skull. And then you 370 00:23:54,640 --> 00:23:57,840 Speaker 1: try to do stature, and there's a metric that you 371 00:23:57,880 --> 00:24:00,640 Speaker 1: can apply relative to like bone link, Like if you're 372 00:24:00,640 --> 00:24:04,720 Speaker 1: going to measure, say the length of the thigh bone, 373 00:24:05,280 --> 00:24:08,919 Speaker 1: it's going to fit into a particular category as to 374 00:24:10,080 --> 00:24:13,760 Speaker 1: what the height, the approximating height of this individual will be. 375 00:24:13,960 --> 00:24:18,080 Speaker 1: But then you have to determine if the thigh bone 376 00:24:18,119 --> 00:24:21,840 Speaker 1: that you're looking at is either male or female or 377 00:24:22,080 --> 00:24:25,400 Speaker 1: is it from a racial grouping that would have more 378 00:24:25,520 --> 00:24:27,560 Speaker 1: what to refer to. And this is a weird word 379 00:24:28,160 --> 00:24:32,240 Speaker 1: grassile bones, which grass ale means fine kind of fine 380 00:24:32,359 --> 00:24:40,040 Speaker 1: featured where if you had, say an Asian person that 381 00:24:40,200 --> 00:24:43,400 Speaker 1: you found and it could be an adult male, their 382 00:24:43,440 --> 00:24:47,240 Speaker 1: bones might not be as big and robust as some 383 00:24:48,320 --> 00:24:52,760 Speaker 1: big European origin guy like me, and so you can't 384 00:24:53,040 --> 00:24:56,560 Speaker 1: Sometimes you'll get the sexing of the bones. As I say, 385 00:24:56,880 --> 00:25:02,879 Speaker 1: you'll get those confused. You'll get racial characteristics confused with 386 00:25:02,960 --> 00:25:06,920 Speaker 1: skulls because the facial characteristics. You know, sometimes we're commingled, 387 00:25:07,000 --> 00:25:10,760 Speaker 1: our genetics are commingled. Now it's not. You don't have 388 00:25:10,800 --> 00:25:14,560 Speaker 1: these clear lines of delineation. So what are you left 389 00:25:14,600 --> 00:25:15,280 Speaker 1: with at that point? 390 00:25:15,359 --> 00:25:15,600 Speaker 3: Toime? 391 00:25:15,920 --> 00:25:20,120 Speaker 1: Well, fortunately the world that we live in today has 392 00:25:21,200 --> 00:25:26,520 Speaker 1: brought about the idea of who are we? Who are 393 00:25:26,560 --> 00:25:33,439 Speaker 1: we at our molecular core? And to our benefit, you 394 00:25:33,480 --> 00:25:38,680 Speaker 1: have groups of people like authorm that are answering some 395 00:25:38,720 --> 00:25:59,399 Speaker 1: of these long, long unanswered questions. The big question is 396 00:25:59,440 --> 00:26:01,400 Speaker 1: what are you left with? You know, you start off, 397 00:26:02,160 --> 00:26:06,720 Speaker 1: I think, with an incomplete skeleton, and as horrible as 398 00:26:06,720 --> 00:26:11,800 Speaker 1: it is, the only name that you have is bones 399 00:26:12,400 --> 00:26:18,080 Speaker 1: twenty and you suspect that it could be one individual 400 00:26:18,920 --> 00:26:24,560 Speaker 1: in particular based upon dental id but you need to 401 00:26:24,600 --> 00:26:27,040 Speaker 1: confirm that. You need to confirm that for the sake 402 00:26:27,080 --> 00:26:30,720 Speaker 1: of the family. And you, like you said, Dave, you 403 00:26:30,720 --> 00:26:35,040 Speaker 1: don't have soft tissue. So where are you going to go? Well, 404 00:26:35,080 --> 00:26:39,280 Speaker 1: you're going to take bone sample. And in Tammy Lyles case, 405 00:26:39,720 --> 00:26:43,720 Speaker 1: that bone sample actually made it to Texas. But the 406 00:26:43,720 --> 00:26:47,600 Speaker 1: first stop in Texas was not Authorm Labs. It's another 407 00:26:47,640 --> 00:26:51,800 Speaker 1: great lab that's housed at the University of North Texas. 408 00:26:52,400 --> 00:26:54,560 Speaker 1: And as a matter of fact, I've got a real 409 00:26:54,600 --> 00:26:57,640 Speaker 1: good buddy of mine that just retired from there, and 410 00:26:58,400 --> 00:27:03,640 Speaker 1: they do some of the most marvelous work in DNA identification. 411 00:27:04,400 --> 00:27:07,399 Speaker 1: But when they played that out to the end, they 412 00:27:07,400 --> 00:27:09,840 Speaker 1: were left scratching their head thinking, we can't take this 413 00:27:09,880 --> 00:27:11,760 Speaker 1: any further. We need to see who else we can 414 00:27:11,800 --> 00:27:14,200 Speaker 1: source this to. And of course that's when Authorm appears, 415 00:27:14,680 --> 00:27:18,000 Speaker 1: appears on the radar and they come in to kind 416 00:27:18,000 --> 00:27:19,080 Speaker 1: of complete this job. 417 00:27:19,440 --> 00:27:25,360 Speaker 2: Now when we're talking about Authorm and beyond, because there 418 00:27:25,440 --> 00:27:32,399 Speaker 2: is breaking down the DNA and having that map, but 419 00:27:32,600 --> 00:27:36,040 Speaker 2: to find out who this person is and who they 420 00:27:36,080 --> 00:27:40,560 Speaker 2: are tied to is a totally different It's an extension 421 00:27:40,720 --> 00:27:44,000 Speaker 2: of the DNA exercise because now you've got to do 422 00:27:44,520 --> 00:27:48,480 Speaker 2: the genetic genealogy. You have to build a family tree. 423 00:27:48,720 --> 00:27:51,880 Speaker 2: So here is our victim, and we've got that victim. Boy, 424 00:27:51,960 --> 00:27:55,040 Speaker 2: we got everything right here, but we have to find 425 00:27:55,080 --> 00:27:58,840 Speaker 2: out other things. Who's related to this victim? There's other 426 00:27:58,880 --> 00:27:59,920 Speaker 2: people at least too. 427 00:28:00,520 --> 00:28:03,800 Speaker 1: Yeah, this is a fascinating thing. In my recent visit 428 00:28:03,840 --> 00:28:05,880 Speaker 1: to Athram that I was shocked by. You go into 429 00:28:06,040 --> 00:28:11,919 Speaker 1: one one section of this of their facility, which is amazing, 430 00:28:12,960 --> 00:28:17,840 Speaker 1: and you've got this very clinical environment where everything is 431 00:28:17,880 --> 00:28:20,480 Speaker 1: sealed off. People are on the literally on the other 432 00:28:20,520 --> 00:28:24,000 Speaker 1: side of the glass and wearing protective clothing, right, and 433 00:28:24,040 --> 00:28:26,280 Speaker 1: they can only work for about forty five minutes at 434 00:28:26,320 --> 00:28:28,560 Speaker 1: a time when they have to step out because it's 435 00:28:28,600 --> 00:28:33,880 Speaker 1: such labor intensive work and you don't want your people 436 00:28:34,400 --> 00:28:37,960 Speaker 1: to be distracted because of fatigue, so they have to 437 00:28:37,960 --> 00:28:40,000 Speaker 1: take a break like every forty five minutes. 438 00:28:40,200 --> 00:28:43,480 Speaker 2: So there's such a powerful thing on the brain. It 439 00:28:43,560 --> 00:28:47,240 Speaker 2: is taxing your brain so much that they know after 440 00:28:47,320 --> 00:28:50,000 Speaker 2: forty five minutes you're no longer at the top of 441 00:28:50,040 --> 00:28:50,480 Speaker 2: your game. 442 00:28:50,560 --> 00:28:53,000 Speaker 3: It has eaten that much. Take a break. 443 00:28:53,400 --> 00:28:57,440 Speaker 1: That's remarkable, Yeah, it is, and it's the facility itself 444 00:28:57,560 --> 00:29:01,000 Speaker 1: is really something to see from that perspect but also 445 00:29:01,080 --> 00:29:04,440 Speaker 1: that awareness. So if you have a case like Tammy's 446 00:29:04,440 --> 00:29:08,720 Speaker 1: case that comes in and you're trying to adjust yourself 447 00:29:08,920 --> 00:29:13,080 Speaker 1: to be so laser focused in your assessments of what 448 00:29:13,160 --> 00:29:16,560 Speaker 1: you have before you. Here's the really sad thing is 449 00:29:16,600 --> 00:29:20,320 Speaker 1: that if this is a criminal case, defense attorneys will 450 00:29:20,400 --> 00:29:23,240 Speaker 1: pick at that pick at, well, how many other cases 451 00:29:23,280 --> 00:29:25,360 Speaker 1: if they're talking to the technician, how many other cases 452 00:29:25,400 --> 00:29:27,800 Speaker 1: have you been working? How much time? Where do you 453 00:29:27,840 --> 00:29:29,719 Speaker 1: think you were too tired to be doing this? And 454 00:29:29,720 --> 00:29:33,040 Speaker 1: that sort of thing. They understand that concept. But here's 455 00:29:33,080 --> 00:29:38,640 Speaker 1: the other part. They don't just have a scientific section, 456 00:29:39,120 --> 00:29:44,320 Speaker 1: the genetics section. They've also got a genealogical section, which 457 00:29:44,360 --> 00:29:47,280 Speaker 1: is when you begin to think about this in the 458 00:29:47,320 --> 00:29:50,360 Speaker 1: world that I come from, which is, you know, morgues 459 00:29:50,440 --> 00:29:53,960 Speaker 1: and crime labs and all that stuff you don't think about. Well, 460 00:29:54,000 --> 00:29:58,320 Speaker 1: we've got a whole staff a genealogist here that they 461 00:29:58,520 --> 00:30:01,560 Speaker 1: can confer with begin to kind of work out this 462 00:30:02,480 --> 00:30:07,480 Speaker 1: big puzzle about who is this individual? And right you were, 463 00:30:07,640 --> 00:30:11,280 Speaker 1: you know, when you were discussing how do you tie 464 00:30:11,320 --> 00:30:17,000 Speaker 1: this back to a particular particular familial group, if you will, 465 00:30:17,640 --> 00:30:22,280 Speaker 1: and that is you look for these peripheral individuals that 466 00:30:22,360 --> 00:30:25,600 Speaker 1: are out there within the family tree. So you're talking 467 00:30:25,640 --> 00:30:30,160 Speaker 1: about cousins most of the time and several times removed. 468 00:30:30,520 --> 00:30:33,520 Speaker 1: And then they begin to kind of bring that in 469 00:30:33,600 --> 00:30:36,400 Speaker 1: and tighten the focus on all of these cases. And Tammy, 470 00:30:36,480 --> 00:30:41,000 Speaker 1: of course, is representative of that, and you want to 471 00:30:41,040 --> 00:30:43,360 Speaker 1: be sure you want to be sure about these cases. 472 00:30:44,080 --> 00:30:49,760 Speaker 1: And so for Tammy Lyles, which please keep in mind, 473 00:30:50,080 --> 00:30:54,960 Speaker 1: if people are thinking, well, how did she die, there's 474 00:30:55,080 --> 00:30:59,960 Speaker 1: no way to determine how many of these people die 475 00:31:00,640 --> 00:31:03,360 Speaker 1: because when you get to the state where you're in 476 00:31:03,720 --> 00:31:07,400 Speaker 1: a skelton On state, any of the soft tissue that 477 00:31:07,440 --> 00:31:10,120 Speaker 1: you would be looking for for focal areas of hemorrhage 478 00:31:10,160 --> 00:31:12,240 Speaker 1: in the neck, or you're looking for, you know, the 479 00:31:12,360 --> 00:31:17,640 Speaker 1: fractured hyoid as they always talk about, or you're looking 480 00:31:17,680 --> 00:31:20,400 Speaker 1: for trauma to the skull. Meantime, you're not going to 481 00:31:20,480 --> 00:31:25,680 Speaker 1: have that. And so it's it's an idea of of 482 00:31:26,040 --> 00:31:31,280 Speaker 1: essentially a presumptive event where you're you're presuming that this 483 00:31:31,400 --> 00:31:36,240 Speaker 1: individual died at the hands of someone like Gary Ridgeway 484 00:31:36,680 --> 00:31:40,440 Speaker 1: because it fit the mo of what he had done 485 00:31:40,520 --> 00:31:43,360 Speaker 1: in the past and she fits into a particular grouping. 486 00:31:44,600 --> 00:31:48,880 Speaker 1: But Authorm's role in this is I think that it's 487 00:31:49,240 --> 00:31:52,160 Speaker 1: it is first off, it's the ultimate and compassion, but 488 00:31:52,280 --> 00:31:55,640 Speaker 1: also it's it is from this particular case in the 489 00:31:55,720 --> 00:32:02,400 Speaker 1: series of homicides that Gary Ridgeway was involved. Then it 490 00:32:02,440 --> 00:32:07,080 Speaker 1: is the ultimate act of compassion as well, because finally 491 00:32:08,160 --> 00:32:11,000 Speaker 1: the family can move on from that point, I never 492 00:32:11,120 --> 00:32:14,720 Speaker 1: use the word closure because I think that that's it's 493 00:32:14,720 --> 00:32:19,360 Speaker 1: a horrible term to use because families. You're diminishing the 494 00:32:19,400 --> 00:32:22,240 Speaker 1: grief of families by saying that families never get closure 495 00:32:22,320 --> 00:32:25,040 Speaker 1: from homicides. You can forget that. Please don't say that 496 00:32:25,040 --> 00:32:28,080 Speaker 1: to people. I guess you have closure, now, No, they don't. 497 00:32:28,160 --> 00:32:32,600 Speaker 1: People don't get closure. It's such a weird term. And 498 00:32:32,640 --> 00:32:36,600 Speaker 1: for those of us that work as death investigators, families 499 00:32:36,680 --> 00:32:40,040 Speaker 1: don't get closure, they might achieve certain levels of peace. 500 00:32:40,120 --> 00:32:44,840 Speaker 1: I don't know. I can't speak to anybody's individual experiences, 501 00:32:45,280 --> 00:32:48,960 Speaker 1: but the one piece to this is that from a 502 00:32:49,000 --> 00:32:54,040 Speaker 1: confirmatory stint, Authorm offers that and it's a little slice 503 00:32:54,080 --> 00:32:57,280 Speaker 1: of peace perhaps for them. And that's what they've done 504 00:32:57,280 --> 00:32:58,320 Speaker 1: in tammy Law's case. 505 00:32:58,400 --> 00:32:59,640 Speaker 3: Dave, Well, you. 506 00:32:59,600 --> 00:33:03,280 Speaker 2: Know with Authorm and you have like math on one 507 00:33:03,320 --> 00:33:05,480 Speaker 2: side and the theater arts to people on the other. 508 00:33:05,720 --> 00:33:09,200 Speaker 2: Because to pull all this together to actually get answers 509 00:33:09,240 --> 00:33:13,080 Speaker 2: to questions and solving crimes, this is really an amazing 510 00:33:13,200 --> 00:33:17,520 Speaker 2: world of technology because it does require some out of 511 00:33:17,520 --> 00:33:20,160 Speaker 2: the box thinking. Besides the math. We have the math, 512 00:33:20,960 --> 00:33:23,320 Speaker 2: but we've got to find the rest. And that's why 513 00:33:23,360 --> 00:33:26,720 Speaker 2: authoram is so important to what's being done. And I 514 00:33:26,800 --> 00:33:28,600 Speaker 2: want to go back to this idea that they are 515 00:33:28,680 --> 00:33:33,000 Speaker 2: crowd funded when police send. You know, oftentimes our law 516 00:33:33,040 --> 00:33:37,640 Speaker 2: enforcement agencies are underfunded, especially when it comes to investigations 517 00:33:37,640 --> 00:33:40,360 Speaker 2: in what are considered cold cases. Now, because of the 518 00:33:40,560 --> 00:33:43,960 Speaker 2: strides that have been made, many departments have a cold 519 00:33:44,000 --> 00:33:48,440 Speaker 2: case unit and they're breaking crimes. They're actually solving crimes 520 00:33:48,480 --> 00:33:52,000 Speaker 2: that have been dormant for many, many years, but now 521 00:33:53,440 --> 00:33:57,200 Speaker 2: have the ability to take the technology and the skills 522 00:33:57,320 --> 00:34:01,320 Speaker 2: and just the experience of investment ditigators and actually solve 523 00:34:01,400 --> 00:34:05,840 Speaker 2: these crimes. But to get to that next level, you 524 00:34:05,920 --> 00:34:09,279 Speaker 2: need an author them, you need a law. Yeah, they 525 00:34:09,280 --> 00:34:11,480 Speaker 2: don't have funding like well I would think, you know, 526 00:34:11,560 --> 00:34:15,080 Speaker 2: I I just assumed until you told me. I really 527 00:34:15,120 --> 00:34:18,040 Speaker 2: did assume that there was federal funding, that it came 528 00:34:18,080 --> 00:34:21,000 Speaker 2: in from many different sources and they just had because 529 00:34:21,040 --> 00:34:23,359 Speaker 2: of the work they are doing that I really did 530 00:34:23,480 --> 00:34:26,040 Speaker 2: think that it was super funded. Not a problem. Send it, 531 00:34:26,239 --> 00:34:28,600 Speaker 2: We got you. You know, we're lined up from here 532 00:34:28,640 --> 00:34:29,040 Speaker 2: to the moon. 533 00:34:29,239 --> 00:34:30,319 Speaker 3: But it's not like that at all. 534 00:34:30,480 --> 00:34:34,279 Speaker 1: That's not the way it works, you know. Uh. And 535 00:34:34,880 --> 00:34:39,640 Speaker 1: it's curious to me where certain government agencies push moneies 536 00:34:39,680 --> 00:34:42,600 Speaker 1: towards UH, and I think that you know, for me, 537 00:34:42,719 --> 00:34:44,440 Speaker 1: of course, i'm partial in this area because of the 538 00:34:44,520 --> 00:34:47,520 Speaker 1: death investigation. I think that one of the most noble 539 00:34:47,600 --> 00:34:49,680 Speaker 1: things that you can do is provide a service like 540 00:34:49,719 --> 00:34:54,040 Speaker 1: this to families. Authorm fills that gap, uh, you know 541 00:34:54,200 --> 00:34:57,920 Speaker 1: regarding this, regarding that that big unknown, because there's an 542 00:34:57,960 --> 00:35:01,479 Speaker 1: ultimate key it's uh, you know, at a molecular level 543 00:35:01,960 --> 00:35:05,480 Speaker 1: that they're offering. Look, there's been cold case squads for 544 00:35:05,640 --> 00:35:08,560 Speaker 1: years and years, and it's frustrating being on a cold case. 545 00:35:08,640 --> 00:35:12,080 Speaker 1: There's a reason they're cold cases, and you can in 546 00:35:12,520 --> 00:35:18,840 Speaker 1: cold case cases that are part of a cold case packet. 547 00:35:18,920 --> 00:35:22,919 Speaker 1: See if I can explain this correctly. They are generational, 548 00:35:23,120 --> 00:35:25,640 Speaker 1: So you can have an old group of investigators that 549 00:35:25,680 --> 00:35:28,880 Speaker 1: will be on a cold case, one of many that 550 00:35:28,960 --> 00:35:33,320 Speaker 1: might exist in a certain jurisdiction, and from a generational standpoint, 551 00:35:33,320 --> 00:35:36,680 Speaker 1: and I'm talking generational in a very narrow spectrum here, 552 00:35:37,040 --> 00:35:41,080 Speaker 1: it's passed on to the next generation of investigators that 553 00:35:41,120 --> 00:35:44,719 Speaker 1: have achieved the level of skill. Because the skills that 554 00:35:44,800 --> 00:35:48,399 Speaker 1: a cold case investigator has are a bit different than 555 00:35:48,400 --> 00:35:52,120 Speaker 1: your regular investigator that's out on the street. They're dealing 556 00:35:52,160 --> 00:35:54,880 Speaker 1: with things that are a bit finer in detail, and 557 00:35:54,920 --> 00:35:57,320 Speaker 1: so you have to raise up another generation of police 558 00:35:57,360 --> 00:35:59,680 Speaker 1: officers to be at that level or investigators to be 559 00:35:59,680 --> 00:36:03,160 Speaker 1: at that level, and sometimes these cases just get handed off. 560 00:36:03,239 --> 00:36:05,760 Speaker 1: That's what that and I really want people to grab 561 00:36:05,840 --> 00:36:09,839 Speaker 1: hold of this. That's why this is such a fantastic 562 00:36:09,960 --> 00:36:14,200 Speaker 1: time to be alive and forensics to witness this because 563 00:36:14,280 --> 00:36:17,520 Speaker 1: all of these cases dave that for years and years 564 00:36:17,520 --> 00:36:23,120 Speaker 1: and years that have gone gone unanswered. You know, the 565 00:36:23,120 --> 00:36:26,200 Speaker 1: big questions that arise from these cases that have gone 566 00:36:26,920 --> 00:36:30,680 Speaker 1: unanswered for years and years and years. We're finally getting 567 00:36:30,719 --> 00:36:35,120 Speaker 1: to see a few beams of sunlight that are exposed 568 00:36:35,120 --> 00:36:38,440 Speaker 1: in this darkness, and there will finally be answers. And 569 00:36:38,480 --> 00:36:42,960 Speaker 1: sometimes those answers will come about as an unidentified DNA 570 00:36:43,080 --> 00:36:48,279 Speaker 1: sample that could be blood or semen or any number 571 00:36:48,320 --> 00:36:50,680 Speaker 1: of body fluids that are found has seen that can 572 00:36:50,719 --> 00:36:54,880 Speaker 1: tie back to a perpetrator, or it can be one 573 00:36:54,920 --> 00:36:57,719 Speaker 1: of the best gifts that anybody could give to one 574 00:36:57,719 --> 00:36:59,719 Speaker 1: of these families that have wanted to know for so 575 00:36:59,840 --> 00:37:04,240 Speaker 1: long what happened to those that I love and striking 576 00:37:04,280 --> 00:37:07,120 Speaker 1: them off of that master list that they have at names. 577 00:37:08,200 --> 00:37:13,759 Speaker 1: I urge you to check out dnasolves dot com and 578 00:37:13,840 --> 00:37:16,960 Speaker 1: just visit the website. I don't get a nickel off 579 00:37:17,000 --> 00:37:19,920 Speaker 1: of this. I don't you know. I'm not here to 580 00:37:20,440 --> 00:37:26,080 Speaker 1: necessarily sell what authorm is doing. However, I've spent more 581 00:37:26,120 --> 00:37:29,080 Speaker 1: time than I can possibly express to any of you 582 00:37:29,120 --> 00:37:35,640 Speaker 1: guys standing over unidentified human remains for years and years 583 00:37:35,680 --> 00:37:41,480 Speaker 1: and years with no answers. Again, this might be one 584 00:37:41,480 --> 00:37:44,120 Speaker 1: of the most noble things that's being done in the 585 00:37:44,120 --> 00:37:47,399 Speaker 1: area of forensic sciences right now, and I urge each 586 00:37:47,440 --> 00:37:50,040 Speaker 1: and every one of you to go and visit the 587 00:37:50,080 --> 00:37:53,600 Speaker 1: website and see what these people are doing, because it 588 00:37:53,680 --> 00:38:01,400 Speaker 1: will it will knock your socks off. I'm just Scott 589 00:38:01,440 --> 00:38:10,120 Speaker 1: Morgan and this is body bags. H