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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,000 --> 00:00:04,204 ‐‐ Captions by VITAC ‐‐ 2 00:00:04,204 --> 00:00:06,006 Moore: This town looks like the kind of place 3 00:00:06,006 --> 00:00:09,276 where you wouldn't have to lock your doors. 4 00:00:09,276 --> 00:00:11,445 But there was a sexual predator here 5 00:00:11,445 --> 00:00:17,351 who took away that sense of security. 6 00:00:17,351 --> 00:00:20,320 All of my work with law enforcement until now 7 00:00:20,320 --> 00:00:25,926 has been working on murders, usually from long ago. 8 00:00:25,926 --> 00:00:27,895 But this case was different. 9 00:00:27,895 --> 00:00:34,902 This was a serial rapist with living victims. 10 00:00:34,902 --> 00:00:36,770 I'm CeCe Moore. 11 00:00:36,770 --> 00:00:39,306 For years, genealogy was my hobby, 12 00:00:39,306 --> 00:00:42,876 and then it became my career. Soon, I realized 13 00:00:42,876 --> 00:00:45,512 that the techniques I developed to reunite families 14 00:00:45,512 --> 00:00:49,116 could also be used to identify killers. 15 00:00:49,116 --> 00:00:50,784 Now my team and I 16 00:00:50,784 --> 00:00:54,221 help the police hunt violent criminals. 17 00:00:54,221 --> 00:00:56,490 I'm a new kind of detective. 18 00:00:56,490 --> 00:01:01,261 ♪ 19 00:01:01,261 --> 00:01:05,499 I decided to start using my skills 20 00:01:05,499 --> 00:01:08,769 to help law enforcement identify violent criminals 21 00:01:08,769 --> 00:01:11,171 in May 2018, 22 00:01:11,171 --> 00:01:15,442 and this case was actually one of the very first ones 23 00:01:15,442 --> 00:01:17,811 that I was involved in. 24 00:01:17,811 --> 00:01:20,280 There was a series of rapes and sexual assaults 25 00:01:20,280 --> 00:01:23,850 that happened between March 2006 and January 2008, 26 00:01:23,850 --> 00:01:25,986 and that perpetrator became known 27 00:01:25,986 --> 00:01:27,821 as the Ramsey Street Rapist. 28 00:01:27,821 --> 00:01:29,289 Reporter: The Ramsey Street Rapist. 29 00:01:29,289 --> 00:01:31,959 A string of assaults known as the Ramsey Street rapes. 30 00:01:31,959 --> 00:01:34,027 Six women attacked in Fayetteville. 31 00:01:34,027 --> 00:01:35,796 Woolverton: He was coming into people's homes 32 00:01:35,796 --> 00:01:37,965 or attacking them as they were going about their business. 33 00:01:37,965 --> 00:01:39,366 You feel like you can't be safe 34 00:01:39,366 --> 00:01:40,867 just going about your everyday life. 35 00:01:40,867 --> 00:01:44,771 That's really what terrifies people. 36 00:01:44,771 --> 00:01:46,740 Berg: What we believe to be one of the first attacks 37 00:01:46,740 --> 00:01:52,012 happened in August of 2006. We called her "The Runner." 38 00:01:52,012 --> 00:01:54,314 It was about 4:00 or 5:00 in the morning. 39 00:01:54,314 --> 00:01:57,351 Left her house like normal, running down Ramsey Street. 40 00:01:57,351 --> 00:02:00,787 The suspect ran at her, grabbed her. 41 00:02:00,787 --> 00:02:04,057 She described it as being hit like a Mack truck. 42 00:02:04,057 --> 00:02:07,728 He tackled her and raped her on the side of the road 43 00:02:07,728 --> 00:02:12,766 in the bushes, for about 45 minutes. 44 00:02:12,766 --> 00:02:15,102 The next reported attack was six months later. 45 00:02:15,102 --> 00:02:16,903 Berg: Female, home alone. 46 00:02:16,903 --> 00:02:20,574 Suspect entered the residence and sexually assaulted her. 47 00:02:20,574 --> 00:02:23,010 Woolverton: In March of 2007, there's another assault 48 00:02:23,010 --> 00:02:25,512 in an apartment, where somebody was sleeping. 49 00:02:25,512 --> 00:02:28,115 In this case, it was a 15‐year‐old. 50 00:02:28,115 --> 00:02:31,385 What really stood out about the Ramsey Street Rapist 51 00:02:31,385 --> 00:02:33,453 was the brazenness of his attacks. 52 00:02:33,453 --> 00:02:35,722 In September of 2007, 53 00:02:35,722 --> 00:02:38,425 officers responded to another apartment complex 54 00:02:38,425 --> 00:02:39,826 on the north end of Ramsey Street. 55 00:02:39,826 --> 00:02:41,795 Woolverton: She was a college student, 21 years old. 56 00:02:41,795 --> 00:02:45,432 He came in through a sliding glass door. 57 00:02:45,432 --> 00:02:46,767 Moore: Years later, 58 00:02:46,767 --> 00:02:50,370 this victim posted an online video describing her ordeal 59 00:02:50,370 --> 00:02:52,806 to try and help the police find her attacker. 60 00:02:52,806 --> 00:02:54,207 Haschen: I had one roommate at the time, 61 00:02:54,207 --> 00:02:56,943 but she had a friend staying that night, 62 00:02:56,943 --> 00:03:00,380 and he said that if I made any noise 63 00:03:00,380 --> 00:03:02,115 or tried to get anybody's attention 64 00:03:02,115 --> 00:03:04,017 that the other two would get it. 65 00:03:04,017 --> 00:03:07,754 So, basically, I went into protective mode 66 00:03:07,754 --> 00:03:13,794 just to keep him away from those two. 67 00:03:13,794 --> 00:03:17,664 The last attack was January 26, 2008. 68 00:03:17,664 --> 00:03:20,067 In all, there were six attacks. 69 00:03:20,067 --> 00:03:22,736 Moore: And all of these in such close proximity 70 00:03:22,736 --> 00:03:25,038 that everybody's awareness was heightened. 71 00:03:25,038 --> 00:03:26,440 Berg: And that's what we knew at the time, 72 00:03:26,440 --> 00:03:30,744 that we had a serial rapist up on Ramsey Street. 73 00:03:35,849 --> 00:03:39,653 ♪ 74 00:03:39,653 --> 00:03:40,854 I mean, of course, we were like, 75 00:03:40,854 --> 00:03:42,823 "We'll find this guy. What does he look like?" 76 00:03:42,823 --> 00:03:45,292 But we couldn't even get a sketch of him. 77 00:03:45,292 --> 00:03:48,028 Stranger rape makes it really, really difficult, 78 00:03:48,028 --> 00:03:49,930 especially when the victims can't give you 79 00:03:49,930 --> 00:03:53,633 any more than a general description of a suspect. 80 00:03:53,633 --> 00:03:55,769 Woolverton: Early 20s to early 30s. 81 00:03:55,769 --> 00:03:57,370 Berg: White or Hispanic male. 82 00:03:57,370 --> 00:03:59,706 Woolverton: Between 5 foot, 8 inches tall and 6 foot, 3 inches. 83 00:03:59,706 --> 00:04:02,843 Smelly, oily. Possibly a mechanic. 84 00:04:02,843 --> 00:04:07,280 Close cut or shaven dark hair and average to medium build. 85 00:04:07,280 --> 00:04:09,282 That could be half the city. 86 00:04:09,282 --> 00:04:11,952 Honestly, at that time, everybody became a suspect. 87 00:04:11,952 --> 00:04:13,220 The only thing they had 88 00:04:13,220 --> 00:04:17,257 that really could help them find this guy was DNA. 89 00:04:17,257 --> 00:04:20,560 All you have is the victim. Your victim is your crime scene. 90 00:04:20,560 --> 00:04:24,097 No victim, no crime. You got to do everything ‐‐ 91 00:04:24,097 --> 00:04:26,633 everything in your power to support the victim. 92 00:04:26,633 --> 00:04:29,102 Woolverton: Taking the rape kit is a hugely invasive thing 93 00:04:29,102 --> 00:04:32,973 that comes right after a hugely invasive event. 94 00:04:32,973 --> 00:04:34,875 You know, somebody had been fighting 95 00:04:34,875 --> 00:04:37,511 and begging for their lives for 45 minutes, 96 00:04:37,511 --> 00:04:41,348 and getting the victim to consent 97 00:04:41,348 --> 00:04:44,017 to go through the process can be very difficult. 98 00:04:44,017 --> 00:04:47,053 You're trying to protect your crime scene, 99 00:04:47,053 --> 00:04:49,122 but you also have to protect them. 100 00:04:49,122 --> 00:04:52,559 Moore: Thankfully, all six victims reported their attacks 101 00:04:52,559 --> 00:04:56,563 and consented to a rape kit. The rape kit's critical 102 00:04:56,563 --> 00:04:59,900 because the rape kit is gonna find semen, 103 00:04:59,900 --> 00:05:02,435 maybe some skin cells from the suspect 104 00:05:02,435 --> 00:05:05,739 that will have DNA in them that can make or break the case. 105 00:05:05,739 --> 00:05:08,175 Berg: We had the DNA. We put it into CODIS, 106 00:05:08,175 --> 00:05:10,177 or into the national criminal database, 107 00:05:10,177 --> 00:05:15,015 so it can be compared to everybody else that's in CODIS. 108 00:05:15,015 --> 00:05:17,651 Moore: What's interesting about this case is they did get a match, 109 00:05:17,651 --> 00:05:19,786 but it was to a crime 110 00:05:19,786 --> 00:05:24,424 where there was another unknown perpetrator. 111 00:05:24,424 --> 00:05:26,793 Woolverton: They had a match to a Peeping Tom case 112 00:05:26,793 --> 00:05:29,362 from Harnett County from 2004. 113 00:05:29,362 --> 00:05:31,798 Evidence was found on the scene that had DNA in it, 114 00:05:31,798 --> 00:05:33,834 and they were able to connect the cases together. 115 00:05:33,834 --> 00:05:35,702 So, there's that initial elation of 116 00:05:35,702 --> 00:05:39,039 "We've got a match. We found him," but then, "Oh, no. 117 00:05:39,039 --> 00:05:42,075 This is another case where we don't know who did it." 118 00:05:42,075 --> 00:05:46,413 Berg: We know that a lot of offenders start peeping or exposing. 119 00:05:46,413 --> 00:05:48,849 It becomes not enough to look in somebody's room. 120 00:05:48,849 --> 00:05:50,350 Now I have to go in the room. 121 00:05:50,350 --> 00:05:52,152 Moore: And so that just told them 122 00:05:52,152 --> 00:05:55,322 he potentially started as a peeping Tom 123 00:05:55,322 --> 00:05:58,325 and then escalated to rape. 124 00:05:58,325 --> 00:06:03,396 ♪ 125 00:06:03,396 --> 00:06:07,968 Woolverton: The police did a press conference in early 2008 126 00:06:07,968 --> 00:06:10,537 to bring attention to the matter. 127 00:06:10,537 --> 00:06:12,806 Berg: You can only canvass so many times, 128 00:06:12,806 --> 00:06:14,241 look for cameras so many times. 129 00:06:14,241 --> 00:06:15,876 Well, now we need the public's help. 130 00:06:15,876 --> 00:06:17,410 Woolverton: We interviewed people, and they recall 131 00:06:17,410 --> 00:06:19,145 being very scared back then. 132 00:06:19,145 --> 00:06:22,115 Berg: We were putting officers in decoy situations 133 00:06:22,115 --> 00:06:24,885 to see if they could lure out an offender. 134 00:06:24,885 --> 00:06:25,986 When people are scared, 135 00:06:25,986 --> 00:06:27,520 they take measures to protect themselves. 136 00:06:27,520 --> 00:06:30,357 Berg: We had somebody walking the same route as "The Runner." 137 00:06:30,357 --> 00:06:33,126 We went to every peeping call, every stranger call. 138 00:06:33,126 --> 00:06:34,895 Woolverton: There was a self‐defense class, 139 00:06:34,895 --> 00:06:36,997 and it was packed ‐‐ there were 80 people there. 140 00:06:36,997 --> 00:06:38,531 Berg: They started a task force. 141 00:06:38,531 --> 00:06:40,734 They brought in the FBI, behavioral analysis. 142 00:06:40,734 --> 00:06:42,168 Woolverton: The Sheriff's office reported 143 00:06:42,168 --> 00:06:45,338 a significant increase in gun permits. 144 00:06:45,338 --> 00:06:48,008 I imagine everyone was holding their breath 145 00:06:48,008 --> 00:06:50,877 just fearing the next one. 146 00:06:50,877 --> 00:06:57,217 And then, just out of the blue, they stopped. 147 00:06:57,217 --> 00:06:59,986 ♪ 148 00:06:59,986 --> 00:07:02,489 Berg: Fayetteville is just like any average city, 149 00:07:02,489 --> 00:07:05,058 but it's a military town, so it's very transient. 150 00:07:05,058 --> 00:07:06,459 Woolverton: We've got Fort Bragg. 151 00:07:06,459 --> 00:07:08,695 We have approximately 10% of the Army here. 152 00:07:08,695 --> 00:07:11,531 We get soldiers deployed overseas all the time, 153 00:07:11,531 --> 00:07:15,001 so they wondered if their suspect from these cases 154 00:07:15,001 --> 00:07:18,138 had left town. 155 00:07:18,138 --> 00:07:20,173 Berg: We were just waiting on a match of that DNA. 156 00:07:20,173 --> 00:07:22,909 We really didn't have a whole lot else to go on. 157 00:07:22,909 --> 00:07:25,679 ♪ 158 00:07:25,679 --> 00:07:28,081 Woolverton: In 2014, I did a profile of Kellie Berg 159 00:07:28,081 --> 00:07:29,482 for The Fayetteville Observer, 160 00:07:29,482 --> 00:07:31,618 and it was six years since the last attack. 161 00:07:31,618 --> 00:07:34,621 She could tell all these details of every one of these cases. 162 00:07:34,621 --> 00:07:37,891 I remember every single victim, and I would call them. 163 00:07:37,891 --> 00:07:39,993 About every six months, I would call everybody. 164 00:07:39,993 --> 00:07:41,328 "Is there anything new?" 165 00:07:41,328 --> 00:07:43,496 "I don't have anything new, but we're still swabbing people, 166 00:07:43,496 --> 00:07:45,865 we're still following up on leads." 167 00:07:45,865 --> 00:07:47,534 If I had to swab all of Fayetteville, 168 00:07:47,534 --> 00:07:49,869 I was gonna swab all of Fayetteville. 169 00:07:49,869 --> 00:07:51,604 These cases just touched me in a way 170 00:07:51,604 --> 00:07:54,274 that none of the other ones did. 171 00:07:54,274 --> 00:07:56,276 I could never put those cases down. 172 00:07:56,276 --> 00:07:58,144 They were officially inactivated, 173 00:07:58,144 --> 00:08:00,780 but I'd always felt like I was working on them, 174 00:08:00,780 --> 00:08:02,248 and, you know, if nothing else, 175 00:08:02,248 --> 00:08:05,552 they were staring at me across from over my desk. 176 00:08:05,552 --> 00:08:09,322 Big, thick binders. They were always there. 177 00:08:09,322 --> 00:08:13,860 Woolverton: Years pass. They had DNA, but no name. 178 00:08:13,860 --> 00:08:17,030 They needed something that could produce the name. 179 00:08:17,030 --> 00:08:22,068 ♪ 180 00:08:24,471 --> 00:08:28,174 Moore: When I start working a case like this, it's impossible for me 181 00:08:28,174 --> 00:08:31,811 not to harken back to that time in my life 182 00:08:31,811 --> 00:08:36,216 and what I was doing. I was a new mom. 183 00:08:36,216 --> 00:08:39,753 I had Nicky in 2005, 184 00:08:39,753 --> 00:08:42,222 and these crimes started in 2006. 185 00:08:42,222 --> 00:08:46,326 And so it is kind of an odd thing to work on these cases 186 00:08:46,326 --> 00:08:48,028 that happened at a time 187 00:08:48,028 --> 00:08:52,832 where I was not as aware of violent crime. 188 00:08:52,832 --> 00:08:55,502 Fast‐forward to 2018. 189 00:08:55,502 --> 00:08:56,803 All right. I love you. 190 00:08:56,803 --> 00:08:58,538 I love you, too. I'll see you later tonight, bud. 191 00:08:58,538 --> 00:09:01,107 Bye. Okay. Have fun. 192 00:09:01,107 --> 00:09:04,544 Now most of the cases I work involve homicide. 193 00:09:04,544 --> 00:09:07,781 But what's really interesting is, this was my first case 194 00:09:07,781 --> 00:09:12,118 where there were living survivors waiting for answers. 195 00:09:12,118 --> 00:09:14,687 Haschen: I had a migraine that day, so I fell asleep 196 00:09:14,687 --> 00:09:18,058 with one of those, like, squishy pillows on my face. 197 00:09:18,058 --> 00:09:20,193 He grabbed the pillow and grabbed me by the throat 198 00:09:20,193 --> 00:09:25,131 at the same time. I never saw his face. 199 00:09:25,131 --> 00:09:27,267 Hearing the victim in her own words 200 00:09:27,267 --> 00:09:32,205 describe what she went through makes it even more urgent to me. 201 00:09:32,205 --> 00:09:36,176 He ruined a lot of things for me. 202 00:09:36,176 --> 00:09:39,379 I can hear it in her voice, I can see it in her hands, 203 00:09:39,379 --> 00:09:44,851 the effect it's had on her. It really cements my resolve 204 00:09:44,851 --> 00:09:49,589 to use my skills to help law enforcement find answers. 205 00:09:49,589 --> 00:09:54,494 If we can even save one person, then I'm all‐in. 206 00:09:54,494 --> 00:09:56,863 ♪ 207 00:09:57,730 --> 00:10:04,504 ♪ 208 00:10:04,504 --> 00:10:11,511 ♪ 209 00:10:11,511 --> 00:10:18,551 ♪ 210 00:10:18,551 --> 00:10:27,360 ♪ 211 00:10:27,360 --> 00:10:29,262 Try Drive Up at Target. 212 00:10:29,262 --> 00:10:31,865 Contactless delivery right to your car, 213 00:10:31,865 --> 00:10:35,969 designed for your day. 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Matched by no one. 255 00:12:59,279 --> 00:13:01,547 [ Jazz music plays ] 256 00:13:01,547 --> 00:13:04,851 ♪ 257 00:13:04,851 --> 00:13:07,086 Moore: Of course, I always want to work on my cases, 258 00:13:07,086 --> 00:13:09,522 but sometimes I have to take a break 259 00:13:09,522 --> 00:13:13,192 to get out there and spread the word. 2. 260 00:13:13,192 --> 00:13:14,394 What are you guys? Woman: 2. 261 00:13:14,394 --> 00:13:16,696 If I can help make these techniques more well‐known 262 00:13:16,696 --> 00:13:22,235 to law enforcement, I get to work more cases. Hi! 263 00:13:22,235 --> 00:13:24,137 CeCe Moore? Yes. 264 00:13:24,137 --> 00:13:26,739 I had never been to CrimeCon or even heard of it 265 00:13:26,739 --> 00:13:28,975 before I was invited to speak there. 266 00:13:28,975 --> 00:13:30,743 Reporter: This is sort of like the meeting 267 00:13:30,743 --> 00:13:37,150 of the crème de la crème of crime aficionados. 268 00:13:37,150 --> 00:13:39,886 I'm speaking in the ballroom downstairs. 269 00:13:39,886 --> 00:13:41,788 Moore: I was a little tentative at first. 270 00:13:41,788 --> 00:13:43,423 Whenever you put yourself out there, 271 00:13:43,423 --> 00:13:45,124 you open yourself up to criticism, 272 00:13:45,124 --> 00:13:47,160 and I've certainly had my fair share. 273 00:13:47,160 --> 00:13:50,229 But I believe deeply in the work that I do with law enforcement. 274 00:13:50,229 --> 00:13:51,497 Oh, it's packed! 275 00:13:51,497 --> 00:13:53,866 And it's important for me to stand up and speak out. 276 00:13:53,866 --> 00:13:55,868 Is that where I'm speaking? Yeah. 277 00:13:55,868 --> 00:13:59,105 Man: One of the things that I want to emphasize... What? 278 00:13:59,105 --> 00:14:00,773 We're in the great city of New Orleans... 279 00:14:00,773 --> 00:14:03,643 Moore: I'm not nervous, but I didn't expect it to be so big, 280 00:14:03,643 --> 00:14:06,079 so that's exciting. Are my lips okay? 281 00:14:06,079 --> 00:14:08,915 Yeah, looks great. Perfect. 282 00:14:08,915 --> 00:14:10,350 If you guys want to walk down this way, 283 00:14:10,350 --> 00:14:11,818 so we're right by the door... 284 00:14:11,818 --> 00:14:15,121 This is a turning point for crime‐solving in America. 285 00:14:15,121 --> 00:14:17,156 Woman: Ladies and gentlemen, please welcome 286 00:14:17,156 --> 00:14:19,359 the founder of the DNA Detectives 287 00:14:19,359 --> 00:14:23,896 and Chief Genetic Genealogist at Parabon, CeCe Moore. 288 00:14:23,896 --> 00:14:25,264 Moore: Hi! 289 00:14:25,264 --> 00:14:26,933 [ Cheers and applause ] 290 00:14:26,933 --> 00:14:32,538 Hello! Good to see you all. So, how did we get here? 291 00:14:32,538 --> 00:14:36,609 How did we unlock the immense power of genetic genealogy? 292 00:14:36,609 --> 00:14:38,378 It didn't come from academia. 293 00:14:38,378 --> 00:14:40,747 It didn't come from traditional science. 294 00:14:40,747 --> 00:14:42,515 I don't have a science degree. 295 00:14:42,515 --> 00:14:45,118 I'm like, probably, most of you in this room. 296 00:14:45,118 --> 00:14:46,686 I'll say I felt pretty at home 297 00:14:46,686 --> 00:14:51,057 because I'm coming from this citizen‐scientist background 298 00:14:51,057 --> 00:14:52,425 and they're coming from 299 00:14:52,425 --> 00:14:54,861 a citizen‐detective‐type background. 300 00:14:54,861 --> 00:14:59,232 We should be able to help identify hundreds or thousands 301 00:14:59,232 --> 00:15:02,201 of violent perpetrators over the coming years. 302 00:15:02,201 --> 00:15:06,072 And so it was a gathering of like‐minded people 303 00:15:06,072 --> 00:15:08,141 who try to help find resolution 304 00:15:08,141 --> 00:15:10,276 for these families and the victims. 305 00:15:10,276 --> 00:15:11,778 Meet and Greet, 1 and 2. 306 00:15:11,778 --> 00:15:13,846 I wonder if one of those is mine. 307 00:15:13,846 --> 00:15:16,582 Before I did this for a living, I was an actor. 308 00:15:16,582 --> 00:15:17,817 I think I'm in the right place...? 309 00:15:17,817 --> 00:15:21,921 Yes? [ Laughs ] It is an extremely odd thing 310 00:15:21,921 --> 00:15:27,326 that my earlier career's goal was to become famous. 311 00:15:27,326 --> 00:15:29,695 Oh, wow. I didn't even think about signing. 312 00:15:29,695 --> 00:15:31,264 I used to have to sign "Barbie." 313 00:15:31,264 --> 00:15:33,933 I used to work for Mattel, and they'd dress me up as Barbie. 314 00:15:33,933 --> 00:15:34,867 [ Laughs ] 315 00:15:34,867 --> 00:15:36,402 Then I left that behind, happily... 316 00:15:36,402 --> 00:15:37,603 Thank you very much. Nice to meet you. 317 00:15:37,603 --> 00:15:40,406 ...and was very happy to be anonymous 318 00:15:40,406 --> 00:15:42,642 and just pursue my hobby, 319 00:15:42,642 --> 00:15:45,278 which became my passion, which became my job. 320 00:15:45,278 --> 00:15:47,280 So, you worked that Sophie Sergie case? 321 00:15:47,280 --> 00:15:48,247 Yeah, that was my case. 322 00:15:48,247 --> 00:15:49,849 I'm from Fairbanks. Oh, really? 323 00:15:49,849 --> 00:15:53,252 And our community is so grateful to you. 324 00:15:53,252 --> 00:15:54,821 Nobody ever thought it would be solved. 325 00:15:54,821 --> 00:15:56,923 Actually, your presentation is the reason that we're here. 326 00:15:56,923 --> 00:15:58,024 Oh, really? The whole weekend, yeah. 327 00:15:58,024 --> 00:16:01,160 Well, that makes me feel good. Thank you. 328 00:16:01,160 --> 00:16:02,862 Thank you. Appreciate it very much. Thank you for coming out. 329 00:16:02,862 --> 00:16:05,965 It is just such an odd turn of events 330 00:16:05,965 --> 00:16:08,534 to see my earlier dreams realized 331 00:16:08,534 --> 00:16:10,536 in a very different way. [ Camera clicks ] 332 00:16:10,536 --> 00:16:12,104 I guess it's fitting, in a way. 333 00:16:12,104 --> 00:16:14,073 We can never predict what the future holds, 334 00:16:14,073 --> 00:16:16,242 and I'm a really good example of that. 335 00:16:16,242 --> 00:16:18,478 Aren't you gonna go into criminal Justice? 336 00:16:18,478 --> 00:16:21,347 Genetics and forensics, actually. Good for you! 337 00:16:21,347 --> 00:16:23,449 I'm really happy that I decided to do it. 338 00:16:23,449 --> 00:16:25,017 It was a wonderful event. 339 00:16:25,017 --> 00:16:28,588 And I suspect we have a lot of future genetic genealogists 340 00:16:28,588 --> 00:16:30,790 who attended my talk there 341 00:16:30,790 --> 00:16:33,659 that are gonna be looking to learn much more about it. 342 00:16:33,659 --> 00:16:35,595 Thank you so much. Thanks. It's great to meet you. 343 00:16:35,595 --> 00:16:42,368 I feel like I really struck gold in this case 344 00:16:42,368 --> 00:16:46,939 because the detective who took over the investigation in 2015 345 00:16:46,939 --> 00:16:49,075 happened to also be a genealogy buff, 346 00:16:49,075 --> 00:16:53,279 and we became great allies working on this case. 347 00:16:53,279 --> 00:16:55,648 Berg: When I turned the cases over in 2015, 348 00:16:55,648 --> 00:16:57,850 I just wanted a different set of eyes, 349 00:16:57,850 --> 00:16:59,919 and Lieutenant Somerindyke was 350 00:16:59,919 --> 00:17:02,922 absolutely the right person for it. 351 00:17:02,922 --> 00:17:04,524 Somerindyke: So, this case file was sitting 352 00:17:04,524 --> 00:17:07,727 on a bookshelf in my office, all 5,000 pages of it. 353 00:17:07,727 --> 00:17:11,631 You know, to be honest with you, at first, it intimidated me. 354 00:17:11,631 --> 00:17:13,699 A lot of people put a lot of hours in these cases, 355 00:17:13,699 --> 00:17:16,469 and they did everything that could possibly be done 356 00:17:16,469 --> 00:17:18,905 with what was available at the time. 357 00:17:18,905 --> 00:17:21,607 Woolverton: Lieutenant Somerindyke made cold cases a priority, 358 00:17:21,607 --> 00:17:24,243 and if there was any kind of new technology 359 00:17:24,243 --> 00:17:28,014 that might help him solve the case, he would try to use it. 360 00:17:28,014 --> 00:17:30,349 Somerindyke: DNA technology is constantly emerging, 361 00:17:30,349 --> 00:17:31,817 so there were some new things out there 362 00:17:31,817 --> 00:17:38,357 we thought were worth trying out to maybe generate some leads. 363 00:17:38,357 --> 00:17:40,059 Moore: Fayetteville police sent a sample 364 00:17:40,059 --> 00:17:42,828 of the perpetrator's DNA to Parabon NanoLabs 365 00:17:42,828 --> 00:17:45,998 for a new process called phenotyping. 366 00:17:45,998 --> 00:17:49,268 So, traditional forensic DNA analysis treats DNA 367 00:17:49,268 --> 00:17:52,038 as if the only information it contained is identity. 368 00:17:52,038 --> 00:17:55,374 It's like a fingerprint. It's great for matching. 369 00:17:55,374 --> 00:17:57,577 We treat DNA like it's a blueprint. 370 00:17:57,577 --> 00:17:59,745 It actually contains all the information 371 00:17:59,745 --> 00:18:00,947 that built that person, 372 00:18:00,947 --> 00:18:02,848 and if we can find the right parts, 373 00:18:02,848 --> 00:18:08,054 we can figure out what that person most likely looked like. 374 00:18:08,054 --> 00:18:09,855 Somerindyke: I caught a news story on 375 00:18:09,855 --> 00:18:11,857 the DNA phenotyping with the composites. 376 00:18:11,857 --> 00:18:14,327 I think I saw that story in late 2015. 377 00:18:14,327 --> 00:18:16,762 It seemed like a pretty cool thing to try. 378 00:18:16,762 --> 00:18:21,067 Moore: The Ramsey Street Rapist made sure his victims didn't see him. 379 00:18:21,067 --> 00:18:24,837 We didn't have sketches of this perpetrator 380 00:18:24,837 --> 00:18:30,409 until they used the DNA to create a phenotype. 381 00:18:30,409 --> 00:18:32,645 Greytak: When Fayetteville reached out to us, 382 00:18:32,645 --> 00:18:35,314 we analyzed their crime scene DNA 383 00:18:35,314 --> 00:18:38,517 to produce a composite image of the suspect 384 00:18:38,517 --> 00:18:40,886 based on predictions of his eye color, 385 00:18:40,886 --> 00:18:43,222 hair color, skin color, ancestry. 386 00:18:43,222 --> 00:18:46,158 Greytak: So, you're gonna do eyes first? Technician: Yeah. 387 00:18:46,158 --> 00:18:51,130 So, I guess strongest prediction is most consistent for hazel. 388 00:18:51,130 --> 00:18:52,531 We predicted that his eye color 389 00:18:52,531 --> 00:18:55,968 was almost certainly not blue or green ‐‐ 390 00:18:55,968 --> 00:19:00,773 it was somewhere in that sort of dark hazel or brown area ‐‐ 391 00:19:00,773 --> 00:19:04,076 and that he had fairly dark hair, brown to black hair. 392 00:19:04,076 --> 00:19:06,312 Almost certainly did not have blond hair. 393 00:19:06,312 --> 00:19:08,080 Armentrout: They're not meant to be photo IDs. 394 00:19:08,080 --> 00:19:10,249 They are meant to allow someone 395 00:19:10,249 --> 00:19:14,020 to exclude 90% of the population quickly. 396 00:19:14,020 --> 00:19:16,822 If you think about it, the investigators have to look at 397 00:19:16,822 --> 00:19:20,459 so many potential suspects, and this is a tool to help them 398 00:19:20,459 --> 00:19:24,797 work more efficiently against that list. 399 00:19:24,797 --> 00:19:26,866 Somerindyke: The main thing was to regenerate interest 400 00:19:26,866 --> 00:19:29,468 in this case and hoping maybe some of these characteristics ‐‐ 401 00:19:29,468 --> 00:19:31,937 you know, the eye color, the hair color, the skin color, 402 00:19:31,937 --> 00:19:35,408 the ancestry ‐‐ would maybe jog somebody's memory. 403 00:19:35,408 --> 00:19:39,745 Maybe back then, somebody knew something, but now, you know, 404 00:19:39,745 --> 00:19:42,848 they're 10 years older, they're 10 years wiser. 405 00:19:42,848 --> 00:19:44,750 We really hope they're gonna come forward now 406 00:19:44,750 --> 00:19:46,819 and do the right thing and give us information we need 407 00:19:46,819 --> 00:19:48,287 to solve these cases. 408 00:19:48,287 --> 00:19:50,489 I was very confident and cocky during that press conference. 409 00:19:50,489 --> 00:19:51,791 You know, I guaranteed an arrest. 410 00:19:51,791 --> 00:19:54,060 I want you to get a good look at these. 411 00:19:54,060 --> 00:19:56,595 Go ahead and zoom in on them if you want to. 412 00:19:56,595 --> 00:19:59,832 These are the handcuffs going on the Ramsey Street suspect 413 00:19:59,832 --> 00:20:01,434 his last day of freedom. 414 00:20:01,434 --> 00:20:04,270 I can only hope that he's gonna see this telecast, 415 00:20:04,270 --> 00:20:07,873 'cause my message to him is, you need to be worried, 416 00:20:07,873 --> 00:20:10,042 you need to be looking over your shoulder, 417 00:20:10,042 --> 00:20:13,546 'cause we're coming for you. 418 00:20:13,546 --> 00:20:16,248 When the Murray’s started using Gain Ultra flings... 419 00:20:16,248 --> 00:20:18,217 ...they fell head over heels in love 420 00:20:18,217 --> 00:20:22,688 with its irresistible scent. 421 00:20:22,688 --> 00:20:28,661 Looks like their dog Michelangelo did too. 422 00:20:28,661 --> 00:20:32,698 Unfortunately for him, it’s more of a forbidden love. 423 00:20:32,698 --> 00:20:36,168 New Gain Ultra Flings with two times Oxi Boost and Febreze... 424 00:20:36,168 --> 00:20:37,670 Seriously good scent. 425 00:20:37,670 --> 00:20:41,674 ...and if you love Gain Flings, you’ve gotta try the dish soap. 426 00:21:13,172 --> 00:21:15,875 This Coke could get you out of the house. 427 00:21:15,875 --> 00:21:18,711 This Iced Coffe could wake you up. 428 00:21:18,711 --> 00:21:20,479 This Frappe could be considered a date. 429 00:21:20,479 --> 00:21:21,747 Whatever this order is for you, 430 00:21:21,747 --> 00:21:23,282 we’ll be here to take it. 431 00:21:23,282 --> 00:21:27,520 Any size soft drinks are just a dollar at McDonald’s. 432 00:21:27,520 --> 00:21:28,587 we’ll be here to take it. 433 00:21:28,587 --> 00:21:29,455 At T‐Mobile, you don’t have to choose between 434 00:21:29,455 --> 00:21:33,058 a great network and the best prices. 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Love, 470 00:23:09,788 --> 00:23:12,391 it’s what makes Subaru, Subaru. 471 00:23:45,291 --> 00:23:47,526 Moore: In my work, I'm isolated. 472 00:23:47,526 --> 00:23:51,096 I'm working out of California, at my laptop. 473 00:23:51,096 --> 00:23:54,166 I don't always have the opportunity to interact 474 00:23:54,166 --> 00:23:58,070 with the other parties involved in these cases. 475 00:23:58,070 --> 00:24:05,945 So, this is Ramsey Street, huh? Definitely not what I imagined. 476 00:24:05,945 --> 00:24:08,614 Doesn't look even slightly threatening. 477 00:24:08,614 --> 00:24:13,585 Lots of businesses, people, traffic, churches. 478 00:24:13,585 --> 00:24:19,391 It's hard to imagine this was the location of nightmares 479 00:24:19,391 --> 00:24:23,896 for so many women. 480 00:24:23,896 --> 00:24:27,366 ♪ 481 00:24:27,366 --> 00:24:31,070 It is very exciting to meet the detectives 482 00:24:31,070 --> 00:24:35,674 that had dedicated their careers to solving these cold cases. 483 00:24:35,674 --> 00:24:37,309 Hey, CeCe. How you doing? [ Laughing ] Hi! 484 00:24:37,309 --> 00:24:38,510 Welcome to Fayetteville. 485 00:24:38,510 --> 00:24:39,645 Good to see you. Good to see you, too. 486 00:24:39,645 --> 00:24:40,946 Come on in. I'm so happy to see you. 487 00:24:40,946 --> 00:24:42,748 And Detective Somerindyke was special 488 00:24:42,748 --> 00:24:46,318 because he already had some genealogy background. 489 00:24:46,318 --> 00:24:49,054 He had already done the phenotype with Parabon, 490 00:24:49,054 --> 00:24:51,357 and he was really invested in the process. 491 00:24:51,357 --> 00:24:53,258 What did you think of that when you saw it? 492 00:24:53,258 --> 00:24:54,893 I mean, you've been looking for him for a long time. 493 00:24:54,893 --> 00:24:56,595 Yeah, yeah, it's really interesting. 494 00:24:56,595 --> 00:24:59,965 Kind of put a face to the concept of the Ramsey Street Rapist. 495 00:24:59,965 --> 00:25:02,568 Somerindyke: December of 2016, we put those composites out. 496 00:25:02,568 --> 00:25:04,470 That did generate quite a few leads, 497 00:25:04,470 --> 00:25:06,372 but none of them panned out. 498 00:25:06,372 --> 00:25:08,741 We never received an offender hit. 499 00:25:08,741 --> 00:25:10,342 It's just a waiting game. 500 00:25:10,342 --> 00:25:12,378 Armentrout: And over the course of the next year, 501 00:25:12,378 --> 00:25:15,981 that's when genetic genealogy came on to the scene. 502 00:25:15,981 --> 00:25:18,450 The first time I heard of the term "genetic genealogy" 503 00:25:18,450 --> 00:25:20,085 was with the Golden State Killer case. 504 00:25:20,085 --> 00:25:22,421 Reporter: DNA recovered from a double‐murder scene 505 00:25:22,421 --> 00:25:24,256 here in Ventura played a critical role 506 00:25:24,256 --> 00:25:27,359 in cracking the cold case. 507 00:25:27,359 --> 00:25:29,561 Somerindyke: I got the news alert, and I almost fell out of my chair 508 00:25:29,561 --> 00:25:32,498 in my office, 'cause I knew this was a sound methodology. 509 00:25:32,498 --> 00:25:34,700 I consider myself a very, very amateur genealogist, 510 00:25:34,700 --> 00:25:36,335 but it really just helped me. It really helps. 511 00:25:36,335 --> 00:25:38,504 Yeah, it really helped me, you know, put it in perspective 512 00:25:38,504 --> 00:25:40,239 and to visualize it a little bit better. 513 00:25:40,239 --> 00:25:42,574 You know, I've been working on my family tree since college. 514 00:25:42,574 --> 00:25:45,377 I didn't really get into doing ancestry DNA 515 00:25:45,377 --> 00:25:49,248 until my wife chose to do it in December of 2017 516 00:25:49,248 --> 00:25:51,483 in an effort to identify her birth parents. 517 00:25:51,483 --> 00:25:54,186 She accidentally found out as an adult that she was adopted. 518 00:25:54,186 --> 00:25:56,155 Oh, so they hadn't told her. They didn't tell her. 519 00:25:56,155 --> 00:25:57,956 And she had always wondered who she looked like, 520 00:25:57,956 --> 00:25:59,958 and I think some dead relative who died several years ago 521 00:25:59,958 --> 00:26:02,428 I think is what she was always told. [ Laughing ] Yeah, right. 522 00:26:02,428 --> 00:26:03,529 I'm sorry ‐‐ that's bad. 523 00:26:03,529 --> 00:26:05,397 And you did it from her DNA results? 524 00:26:05,397 --> 00:26:07,232 Right, from the ancestry DNA results. 525 00:26:07,232 --> 00:26:08,834 And then I think we researched 526 00:26:08,834 --> 00:26:12,004 and actually found a picture of her birth mother, 527 00:26:12,004 --> 00:26:14,306 and we held it up to a picture of her when she was about 20. 528 00:26:14,306 --> 00:26:16,542 It's like, "Okay, that's her. There's no doubt that's her." 529 00:26:16,542 --> 00:26:17,976 So then I just cold‐called her. 530 00:26:17,976 --> 00:26:19,344 You did? From my office one day. 531 00:26:19,344 --> 00:26:20,746 I just laid it out to her, and she said, 532 00:26:20,746 --> 00:26:23,148 "Yeah, that's me," and was willing to talk to my wife, 533 00:26:23,148 --> 00:26:25,084 and, I mean, they talked for three hours that night. 534 00:26:25,084 --> 00:26:28,587 So you had just had your own successful identification. 535 00:26:28,587 --> 00:26:30,956 Yeah, and a week later, the Golden State Killer case. 536 00:26:30,956 --> 00:26:32,958 That is really interesting. Yeah, it was perfect timing. 537 00:26:32,958 --> 00:26:36,128 We were doing genetic genealogy and didn't realize it. 538 00:26:36,128 --> 00:26:37,863 Hearing about how 539 00:26:37,863 --> 00:26:42,067 Detective Somerindyke and his wife had used genetic genealogy 540 00:26:42,067 --> 00:26:47,639 to resolve a really core mystery in their family is exciting. 541 00:26:47,639 --> 00:26:51,710 He understands how powerful genetic genealogy is. 542 00:26:51,710 --> 00:26:53,579 Really, this case, if you think about it, 543 00:26:53,579 --> 00:26:55,547 started when we had a good nurse who did her job 544 00:26:55,547 --> 00:26:57,549 and got that DNA from the crime scene, 545 00:26:57,549 --> 00:26:59,985 you know, or the victim's body. That's a great point. 546 00:26:59,985 --> 00:27:02,154 It all started with the SANE nurse. 547 00:27:02,154 --> 00:27:06,058 Moore: If somebody had not collected that physical evidence, 548 00:27:06,058 --> 00:27:09,428 that DNA, I would never be involved in these cases, 549 00:27:09,428 --> 00:27:10,629 and I would never be able 550 00:27:10,629 --> 00:27:12,931 to help identify those perpetrators. 551 00:27:12,931 --> 00:27:14,933 Do you know Liz Herring? Yeah, absolutely. 552 00:27:14,933 --> 00:27:16,702 If she hadn't have collected that DNA, 553 00:27:16,702 --> 00:27:17,836 we wouldn't be here right now. 554 00:27:17,836 --> 00:27:24,643 I'm excited to hear her perspective on all this. 555 00:27:24,643 --> 00:27:27,646 It's really important for me to learn as much as I can 556 00:27:27,646 --> 00:27:31,416 when I have the opportunity. Every little clue helps. 557 00:27:31,416 --> 00:27:34,453 Every additional piece of information that I gain 558 00:27:34,453 --> 00:27:37,656 helps me to get better and better at this work. 559 00:27:37,656 --> 00:27:39,992 Moore: What exactly is a SANE? 560 00:27:39,992 --> 00:27:43,529 So, SANE is a Sexual Assault Nurse Examiner. 561 00:27:43,529 --> 00:27:45,831 You want somebody there that's been trained 562 00:27:45,831 --> 00:27:47,599 to collect that forensic evidence. 563 00:27:47,599 --> 00:27:51,103 I think we owe that to the victims. 564 00:27:51,103 --> 00:27:54,873 So, when a victim comes in, what's your first goal? 565 00:27:54,873 --> 00:27:57,776 We try to provide a very quiet environment, 566 00:27:57,776 --> 00:27:59,811 not to re‐victimize that victim. 567 00:27:59,811 --> 00:28:01,747 That's our primary focus. Of course. 568 00:28:01,747 --> 00:28:04,583 Once they feel some safety and support, 569 00:28:04,583 --> 00:28:08,554 we can carry on with their medical forensic exam. 570 00:28:08,554 --> 00:28:12,124 This is pretty much the standard kit. 571 00:28:12,124 --> 00:28:14,560 It's all boxed up like this. Right. 572 00:28:14,560 --> 00:28:17,763 You're swabbing to try to get semen? 573 00:28:17,763 --> 00:28:19,131 Is that the main goal? 574 00:28:19,131 --> 00:28:21,133 Even if it's an attempted assault, 575 00:28:21,133 --> 00:28:23,202 DNA has come such a long way 576 00:28:23,202 --> 00:28:27,506 that if she says "He grabbed me here," we can collect touch DNA. 577 00:28:27,506 --> 00:28:28,774 Wow. Can you show me? 578 00:28:28,774 --> 00:28:30,576 So, yeah, I'm gonna show you on myself. Okay. 579 00:28:30,576 --> 00:28:34,913 So, we would actually put a very small amount of sterile water, 580 00:28:34,913 --> 00:28:36,582 and you're going to roll. Oh. 581 00:28:36,582 --> 00:28:38,717 And the reason you're going to roll is, 582 00:28:38,717 --> 00:28:42,020 you don't want to do this and obliterate the DNA. 583 00:28:42,020 --> 00:28:44,556 I didn't realize quite how in‐depth it is. 584 00:28:44,556 --> 00:28:47,826 The more injuries they have, the more photographs I need, 585 00:28:47,826 --> 00:28:49,561 the more swabs I need. 586 00:28:49,561 --> 00:28:51,530 It may take me a really long time. 587 00:28:51,530 --> 00:28:52,931 You know, it has to be done, 588 00:28:52,931 --> 00:28:55,901 but it must be very difficult for the victims. 589 00:28:55,901 --> 00:28:58,870 They're tired, exhausted. 590 00:28:58,870 --> 00:29:01,206 They just want to put this behind them. 591 00:29:01,206 --> 00:29:05,244 And for that five hours, we're asking them 592 00:29:05,244 --> 00:29:07,846 to continuously tell us what happened 593 00:29:07,846 --> 00:29:09,881 and we're collecting evidence. 594 00:29:09,881 --> 00:29:15,988 It is very difficult for that victim, yes. 595 00:29:15,988 --> 00:29:18,523 Moore: It's incredibly hard for victims of sexual assault 596 00:29:18,523 --> 00:29:22,961 to come forward, let alone speak publicly about their ordeals. 597 00:29:22,961 --> 00:29:25,330 But that is just what the anonymous survivor 598 00:29:25,330 --> 00:29:27,966 from the online video decided to do. 599 00:29:27,966 --> 00:29:32,938 ♪ 600 00:29:32,938 --> 00:29:35,107 Haschen: The day after, I went back to school 601 00:29:35,107 --> 00:29:37,709 to kind of tell my advisor and all my teachers, 602 00:29:37,709 --> 00:29:39,845 "Look," you know, "This is happening. I'm withdrawing." 603 00:29:39,845 --> 00:29:41,146 And... 604 00:29:41,146 --> 00:29:44,216 I think I was still in shock from the actual incident, 605 00:29:44,216 --> 00:29:45,817 but more or less, like, okay, 606 00:29:45,817 --> 00:29:49,421 this aspect of my life now has kind of been taken from me. 607 00:29:49,421 --> 00:29:51,223 Moore: This is something where 608 00:29:51,223 --> 00:29:54,960 a person's sense of security has been invaded. 609 00:29:54,960 --> 00:29:58,363 I don't think you would ever have a true moment of peace 610 00:29:58,363 --> 00:30:01,600 to not have the answers as to who did this to you 611 00:30:01,600 --> 00:30:06,538 and where they are right now. 612 00:30:06,538 --> 00:30:10,108 For a long time, if I was out and there was a big crowd 613 00:30:10,108 --> 00:30:12,878 and I didn't know a lot of the people there, 614 00:30:12,878 --> 00:30:16,381 it was just a constant stress and looking over my shoulder, 615 00:30:16,381 --> 00:30:18,950 and I almost feel like there was a pause button 616 00:30:18,950 --> 00:30:21,853 put on my life when all this happened. 617 00:30:21,853 --> 00:30:25,324 So I've kind of been stuck. 618 00:30:25,324 --> 00:30:28,126 Moore: I needed to be able to help Detective Somerindyke 619 00:30:28,126 --> 00:30:31,430 find this person, identify him, and arrest him 620 00:30:31,430 --> 00:30:34,199 so these women could finally have some peace ‐‐ 621 00:30:34,199 --> 00:30:40,605 peace that they hadn't had for years. 622 00:30:40,605 --> 00:30:42,641 Looks like they picked the wrong getaway driver. 623 00:30:42,641 --> 00:30:45,510 They're going to be paying for this for a long time. 624 00:30:45,510 --> 00:30:48,046 They will, but with accident forgiveness 625 00:30:48,046 --> 00:30:49,448 Allstate won't raise your rates 626 00:30:49,448 --> 00:30:52,951 just because of an accident, even if it's your fault. Cut! 627 00:30:52,951 --> 00:30:57,089 Sonny. Was that good? Line! The desert never lies. 628 00:30:57,089 --> 00:30:58,123 Isn't that what I said? 629 00:30:58,123 --> 00:31:02,394 No you were talking about Allstate and insurance. 630 00:31:02,394 --> 00:31:04,663 I just... When I... 631 00:31:04,663 --> 00:31:06,565 Let's try again. 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Kinder Joy has your back. 646 00:31:58,617 --> 00:31:59,785 And so do the Minions. 647 00:31:59,785 --> 00:32:03,688 ♪ 648 00:32:03,688 --> 00:32:05,891 Kinder Joy is a yummy Treat plus Toy. 649 00:32:05,891 --> 00:32:07,859 Now with new limited edition Minions toys. 650 00:32:07,859 --> 00:32:09,861 A little surprise goes a long way. 651 00:34:29,801 --> 00:34:32,737 Somerindyke: Parabon already had our suspect DNA on hand, 652 00:34:32,737 --> 00:34:34,739 so they were ready to do the screening immediately. 653 00:34:34,739 --> 00:34:36,908 So, two days after the Golden State Killer arrests, 654 00:34:36,908 --> 00:34:38,443 the Fayetteville Police Department 655 00:34:38,443 --> 00:34:40,445 was in the genetic genealogy business. 656 00:34:40,445 --> 00:34:45,116 Once we have the data, what we do is upload it to GEDmatch. 657 00:34:45,116 --> 00:34:48,053 GEDmatch takes our unknown person's DNA 658 00:34:48,053 --> 00:34:50,822 and compares it to all those people in the database 659 00:34:50,822 --> 00:34:53,191 who have opted in to law enforcement matching, 660 00:34:53,191 --> 00:34:54,826 and the amount of shared DNA 661 00:34:54,826 --> 00:34:58,330 tells us approximately how closely related they are. 662 00:34:58,330 --> 00:35:01,933 Then we hand it off to CeCe, and that's when she gets to work. 663 00:35:01,933 --> 00:35:08,006 ♪ 664 00:35:08,006 --> 00:35:13,979 ♪ 665 00:35:13,979 --> 00:35:17,983 Moore: All right, we're in uncharted waters here. 666 00:35:17,983 --> 00:35:19,951 This is an ongoing court case. 667 00:35:19,951 --> 00:35:23,455 That means that I cannot go into the details. 668 00:35:23,455 --> 00:35:28,727 So, we are going to have to drive down Hypothetical Street. 669 00:35:28,727 --> 00:35:30,695 Names will have to be changed, 670 00:35:30,695 --> 00:35:33,431 but I still would like to be able to explain 671 00:35:33,431 --> 00:35:35,533 some of the foundational concepts. 672 00:35:35,533 --> 00:35:41,906 So, let's just say I had 10 promising matches, 673 00:35:41,906 --> 00:35:44,909 but it turned out that the 10 matches 674 00:35:44,909 --> 00:35:47,078 were all super closely related to each other, 675 00:35:47,078 --> 00:35:49,748 which told me that they were part of one genetic network. 676 00:35:49,748 --> 00:35:53,184 I'm not building 10 different family trees. I'm building one. 677 00:35:53,184 --> 00:35:56,287 Losing my jacket. So, let's say, hypothetically, 678 00:35:56,287 --> 00:36:00,091 they shared enough DNA to be first cousins once removed. 679 00:36:00,091 --> 00:36:01,426 Those are good matches. 680 00:36:01,426 --> 00:36:04,029 I shouldn't have to build the family tree too far back 681 00:36:04,029 --> 00:36:08,333 to find the common ancestors. 682 00:36:08,333 --> 00:36:11,336 People assume that I'm spending a lot of time 683 00:36:11,336 --> 00:36:13,038 on GEDmatch, but I'm not. 684 00:36:13,038 --> 00:36:15,807 GEDmatch is giving me some of the puzzle pieces, 685 00:36:15,807 --> 00:36:19,210 but I can't put them together on GEDmatch. 686 00:36:19,210 --> 00:36:22,080 I have to go elsewhere to do that. 687 00:36:22,080 --> 00:36:24,382 I have to go do family tree building. 688 00:36:24,382 --> 00:36:27,552 I have to look at newspaper archives, census records, 689 00:36:27,552 --> 00:36:31,423 birth records, death records, obituaries, social media. 690 00:36:31,423 --> 00:36:33,491 Shh. Don't tell anyone. 691 00:36:33,491 --> 00:36:36,194 I'm looking at their Facebook pages. 692 00:36:36,194 --> 00:36:39,964 I find this particular ancestral couple ‐‐ 693 00:36:39,964 --> 00:36:47,038 I'm gonna call them Fred ‐‐ made‐up name ‐‐ and Wanda. 694 00:36:47,038 --> 00:36:50,108 Normally, I would share some astounding historical facts 695 00:36:50,108 --> 00:36:51,810 with you about Fred and Wanda. 696 00:36:51,810 --> 00:36:53,344 [ Gasps ] But there's Wanda! 697 00:36:53,344 --> 00:36:54,946 Isn't she pretty? 698 00:36:54,946 --> 00:36:56,247 You'll never know, 'cause I can't tell you. 699 00:36:56,247 --> 00:36:57,315 So, you get the point ‐‐ 700 00:36:57,315 --> 00:37:01,419 theoretical, theoretical, theoretical. Concepts are real. 701 00:37:01,419 --> 00:37:05,190 This is what I do in my work every single day. 702 00:37:05,190 --> 00:37:10,829 Let's say Fred and Wanda have five kids ‐‐ 703 00:37:10,829 --> 00:37:13,998 Jack, Sid, Yvonne, Tony, and Flora. 704 00:37:13,998 --> 00:37:15,467 You're probably wondering, "Where did she come up 705 00:37:15,467 --> 00:37:18,069 with the name Flora?" That's gonna remain my secret. 706 00:37:18,069 --> 00:37:20,672 They've got five kids, but they are not the right age 707 00:37:20,672 --> 00:37:21,840 to be our suspect. 708 00:37:21,840 --> 00:37:23,775 So I've got to go forward another generation. 709 00:37:23,775 --> 00:37:28,413 So we've got Mary, Jen, Eva, Tim, Sam, Erin, Ann, Louise. 710 00:37:28,413 --> 00:37:29,481 Okay. 711 00:37:29,481 --> 00:37:31,149 Do the matches to the unknown suspect 712 00:37:31,149 --> 00:37:33,418 share the right amount of DNA? 713 00:37:33,418 --> 00:37:36,221 No. So we got to go another generation forward. 714 00:37:36,221 --> 00:37:39,023 It's just gonna kill me to have to make up even more names. 715 00:37:39,023 --> 00:37:43,128 All right, we have nine possibilities at this level. 716 00:37:43,128 --> 00:37:47,165 Bob, Chris, Ron, Jean, Anna, Amber, Paige, Allison, and Jeff. 717 00:37:47,165 --> 00:37:49,400 All made up. Aren't I creative? 718 00:37:49,400 --> 00:37:52,170 Are the people at this generation level 719 00:37:52,170 --> 00:37:56,374 at the right relationship compared to the matches? Yes. 720 00:37:56,374 --> 00:37:57,408 Are any of these people male? 721 00:37:57,408 --> 00:37:59,511 Sorry, ladies. You're out. 722 00:37:59,511 --> 00:38:06,484 What does that leave us with? Jeff... Ron... and Bob. 723 00:38:06,484 --> 00:38:07,652 Are they the right age? 724 00:38:07,652 --> 00:38:10,555 Ron was too young at the time of the crime. 725 00:38:10,555 --> 00:38:11,623 Same with Jeff. 726 00:38:11,623 --> 00:38:15,226 Aha! What do we have left? Bob. 727 00:38:15,226 --> 00:38:16,427 Initially, I thought, 728 00:38:16,427 --> 00:38:18,797 "Oh, well, that's great. We went from nine to one. 729 00:38:18,797 --> 00:38:20,265 Terrific." 730 00:38:20,265 --> 00:38:22,634 But there were some problems here. 731 00:38:22,634 --> 00:38:25,937 I had a phenotyping prediction that told me 732 00:38:25,937 --> 00:38:30,441 the suspect was highly likely to have brown eyes. 733 00:38:30,441 --> 00:38:32,076 What color are Bob's eyes? 734 00:38:32,076 --> 00:38:37,582 In all of his social media photos, he was blue‐eyed Bob. 735 00:38:37,582 --> 00:38:39,684 So when Parabon does the phenotype, 736 00:38:39,684 --> 00:38:42,654 they can't say 100% this person has brown eyes, 737 00:38:42,654 --> 00:38:44,856 so it's possible it's still Bob, 738 00:38:44,856 --> 00:38:49,761 but I suspected there was a misattributed parentage 739 00:38:49,761 --> 00:38:52,397 in this part of the tree. 740 00:38:52,397 --> 00:38:55,066 I've worked on so many unknown parentage cases 741 00:38:55,066 --> 00:38:56,100 in my career, 742 00:38:56,100 --> 00:39:00,004 and so I'd say it's an educated instinct 743 00:39:00,004 --> 00:39:04,342 that made me doubt whether my theoretical Bob 744 00:39:04,342 --> 00:39:08,746 was actually related genetically to this couple, Fred and Wanda. 745 00:39:08,746 --> 00:39:11,983 But it wasn't something that I could access 746 00:39:11,983 --> 00:39:13,985 from my computer at home. 747 00:39:13,985 --> 00:39:15,787 Fortunately, with Detective Somerindyke, 748 00:39:15,787 --> 00:39:19,357 I had someone who did have some experience in genealogy. 749 00:39:19,357 --> 00:39:22,627 Very quickly, he got access to records 750 00:39:22,627 --> 00:39:26,264 that proved this person was not genetically related 751 00:39:26,264 --> 00:39:28,399 to any of those matches. 752 00:39:28,399 --> 00:39:30,869 He was related to that family through adoption. 753 00:39:30,869 --> 00:39:33,037 And that was so important 754 00:39:33,037 --> 00:39:35,473 because it eliminated him entirely. 755 00:39:35,473 --> 00:39:39,344 But it meant we were out of potential suspects. 756 00:39:39,344 --> 00:39:44,415 All of this and this and this and this is gone. 757 00:39:44,415 --> 00:39:48,219 So I have to go back to what I started with. 758 00:39:48,219 --> 00:39:52,323 What I do know is that the suspect has to be carrying 759 00:39:52,323 --> 00:39:56,561 the ancestral DNA from Fred's family and Wanda's family. 760 00:39:56,561 --> 00:39:59,497 How else can I get that right mix? 761 00:39:59,497 --> 00:40:01,933 So where are we? We've got Fred, we've got Wanda. 762 00:40:01,933 --> 00:40:02,934 [ Sighs ] Let's see. 763 00:40:02,934 --> 00:40:05,203 Families are complicated. 764 00:40:05,203 --> 00:40:08,673 We very often see brothers marrying sisters. 765 00:40:08,673 --> 00:40:11,776 Not their own sisters ‐‐ two brothers from one family 766 00:40:11,776 --> 00:40:14,212 marrying two sisters from another family. 767 00:40:14,212 --> 00:40:16,948 and it makes sense, right? Because if Fred and Wanda marry, 768 00:40:16,948 --> 00:40:19,050 their siblings are gonna meet each other. 769 00:40:19,050 --> 00:40:21,819 Let's call Fred's relative George 770 00:40:21,819 --> 00:40:26,291 and Wanda's relative Mathilda. They decide to get married. 771 00:40:26,291 --> 00:40:29,794 We've still got a mix of Fred's ancestral DNA 772 00:40:29,794 --> 00:40:33,798 and Wanda's ancestral DNA, but it's a whole new family. 773 00:40:33,798 --> 00:40:37,035 So who are George and Mathilda's descendants? 774 00:40:37,035 --> 00:40:39,437 To find who shares the right amount of DNA 775 00:40:39,437 --> 00:40:40,972 with the unknown suspect, 776 00:40:40,972 --> 00:40:44,575 I have to come forward the same number of generations. 777 00:40:44,575 --> 00:40:48,012 And the great‐grandchildren are Violet and Mike. 778 00:40:48,012 --> 00:40:49,314 These people would share 779 00:40:49,314 --> 00:40:52,116 approximately the right amount of DNA with the matches. 780 00:40:52,116 --> 00:40:55,853 Is our suspect a woman? No! Violet's out. 781 00:40:55,853 --> 00:41:00,558 That leaves us with one single person left. 782 00:41:00,558 --> 00:41:04,395 ♪ 783 00:41:04,395 --> 00:41:07,365 Once I found the right branch of the family tree, 784 00:41:07,365 --> 00:41:11,269 it led me right to someone who was in the right place, 785 00:41:11,269 --> 00:41:15,340 the right time, the right gender, the right age, 786 00:41:15,340 --> 00:41:17,175 and even the right eye color 787 00:41:17,175 --> 00:41:19,711 to finally be the Ramsey Street Rapist. 788 00:41:19,711 --> 00:41:22,246 ♪ 789 00:41:22,246 --> 00:41:28,419 Motorcycle riders love the open road. 790 00:41:28,419 --> 00:41:32,890 And GEICO loves helping riders get to where they're going, 791 00:41:32,890 --> 00:41:34,392 so to help even more, 792 00:41:34,392 --> 00:41:36,761 GEICO is giving new and current customers 793 00:41:36,761 --> 00:41:39,464 a fifteen percent credit on their motorcycle policies 794 00:41:39,464 --> 00:41:41,799 with the GEICO Giveback. 795 00:41:41,799 --> 00:41:43,901 And because we're committed for the long haul, 796 00:41:43,901 --> 00:41:47,071 the credit lasts your full policy term. 797 00:41:47,071 --> 00:41:48,473 The GEICO Giveback. 798 00:41:48,473 --> 00:41:50,641 Helping riders focus on the road ahead. 799 00:42:08,393 --> 00:42:09,894 The GEICO Giveback. 800 00:42:09,894 --> 00:42:11,496 Frustrated that clean clothes you want to wear always seem to need an iron? 801 00:42:11,496 --> 00:42:13,097 Try Bounce Wrinkle Guard dryer sheets. 802 00:42:13,097 --> 00:42:17,468 The Bounce Wrinkle Guard shorts have fewer wrinkles and static, and more softness. 803 00:42:17,468 --> 00:42:21,472 It's the world's first Mega Sheet that does the job of three dryer sheets! 804 00:42:21,472 --> 00:42:22,907 Bounce out wrinkles. 805 00:42:38,589 --> 00:43:09,020 ♪ 806 00:43:09,020 --> 00:43:11,456 (VO) Oui French Style Yogurt is made with elegance, 807 00:43:11,456 --> 00:43:17,261 romance, delicious fruit, and non‐gmo whole milk. 808 00:43:17,261 --> 00:43:19,630 It's inspired by our authentic French recipe. 809 00:43:19,630 --> 00:43:22,900 Oui French Style Yogurt. Tastes like 5 oz. of France. 810 00:45:33,931 --> 00:45:36,734 Moore: It was 2:00 a. m. Pacific Time, 811 00:45:36,734 --> 00:45:39,570 and I wanted to get his name to Detective Somerindyke 812 00:45:39,570 --> 00:45:42,506 as fast as possible. 813 00:45:42,506 --> 00:45:44,342 So, you know, I'm an early riser. 814 00:45:44,342 --> 00:45:45,576 I got up at 5:00 in the morning. 815 00:45:45,576 --> 00:45:48,079 I had my to‐do list of things that I was gonna go pull 816 00:45:48,079 --> 00:45:49,547 from the State Vital Records archives. 817 00:45:49,547 --> 00:45:51,949 And so I sent... I had an e‐mail from CeCe... 818 00:45:51,949 --> 00:45:55,119 ...in big letters that said "Stop the presses"... ...said "Stop the presses. 819 00:45:55,119 --> 00:45:56,721 Do not go to Raleigh. Call me first." 820 00:45:56,721 --> 00:45:58,256 I had given him another task 821 00:45:58,256 --> 00:46:00,157 where he was gonna have to drive hours away. 822 00:46:00,157 --> 00:46:01,425 So I replied back to her, "Okay, yeah, 823 00:46:01,425 --> 00:46:03,227 when I get in at about 8:00, I'll call you." 824 00:46:03,227 --> 00:46:04,161 She immediately replied back... 825 00:46:04,161 --> 00:46:05,529 "Call me!" ..."Call me now." 826 00:46:05,529 --> 00:46:07,665 We finally had that conversation 827 00:46:07,665 --> 00:46:10,968 where I was able to give him the identity of the person 828 00:46:10,968 --> 00:46:14,338 that I strongly believed was his Ramsey Street Rapist. 829 00:46:14,338 --> 00:46:17,575 CeCe gave me the name Darold Wayne Bowden. 830 00:46:17,575 --> 00:46:24,248 ♪ 831 00:46:24,248 --> 00:46:26,117 I could just tell by the excitement in her voice 832 00:46:26,117 --> 00:46:27,752 that this was gonna be the guy. 833 00:46:27,752 --> 00:46:29,720 Moore: Of course, they have to verify my findings, 834 00:46:29,720 --> 00:46:33,924 but all of the evidence was pointing in one direction ‐‐ 835 00:46:33,924 --> 00:46:35,459 to Harnett County, 836 00:46:35,459 --> 00:46:38,429 right where that Peeping Tom incident had occurred, 837 00:46:38,429 --> 00:46:39,830 and squarely at him. 838 00:46:39,830 --> 00:46:44,402 ♪ 839 00:46:44,402 --> 00:46:46,671 Somerindyke: So, we gathered some intel on him. 840 00:46:46,671 --> 00:46:49,340 Darold Wayne Bowden was 42 years old. 841 00:46:49,340 --> 00:46:52,943 He lived in this area his whole life. 842 00:46:52,943 --> 00:46:58,416 I saw that he had a lot of minor crimes, a lot of thefts. 843 00:46:58,416 --> 00:47:00,985 Just a lot of interactions with law enforcement, 844 00:47:00,985 --> 00:47:05,056 in and out of trouble his entire adult life. 845 00:47:05,056 --> 00:47:08,759 Moore: My focus is, obviously, on the genetic genealogy evidence, 846 00:47:08,759 --> 00:47:12,830 but once it leads to a potential suspect, 847 00:47:12,830 --> 00:47:16,167 I'm always looking to see if that person makes sense. 848 00:47:16,167 --> 00:47:17,668 Do they fit? 849 00:47:17,668 --> 00:47:22,106 At least one of the victims had said he smelled like motor oil. 850 00:47:22,106 --> 00:47:23,507 He had social media, 851 00:47:23,507 --> 00:47:28,679 and I could see that he loved working on cars. 852 00:47:28,679 --> 00:47:30,681 Somerindyke: The more we looked into him, the more 853 00:47:30,681 --> 00:47:33,718 everything kind of matched up, it was all coming together. 854 00:47:33,718 --> 00:47:35,653 And he was there ‐‐ he was living in the area 855 00:47:35,653 --> 00:47:36,954 just right off of Ramsey Street, 856 00:47:36,954 --> 00:47:41,859 5 miles north of the city limits. 857 00:47:41,859 --> 00:47:44,628 Moore: At this point, there's nothing else I can do, 858 00:47:44,628 --> 00:47:47,031 and I have to wait for the detective 859 00:47:47,031 --> 00:47:51,602 to either prove or disprove my theory. 860 00:47:51,602 --> 00:47:55,239 They are going to do that traditional investigative work 861 00:47:55,239 --> 00:47:58,342 to see if this person makes sense, and ultimately, 862 00:47:58,342 --> 00:48:03,714 does DNA that they collect match their original genetic profile? 863 00:48:03,714 --> 00:48:05,516 [ Police radio chatter ] 864 00:48:05,516 --> 00:48:09,186 Somerindyke: A plan was put together to lawfully obtain his DNA. 865 00:48:09,186 --> 00:48:10,955 I don't know exactly what they did. 866 00:48:10,955 --> 00:48:12,523 From what I've seen in prior cases, 867 00:48:12,523 --> 00:48:14,625 when you dump your trash, your trash kind of becomes 868 00:48:14,625 --> 00:48:19,363 open season for anybody who wants to get it. 869 00:48:19,363 --> 00:48:22,133 Somerindyke: We brought that DNA that was lawfully obtained 870 00:48:22,133 --> 00:48:24,235 from him to the State Crime Lab, 871 00:48:24,235 --> 00:48:29,740 where they did the one‐on‐one comparison of his DNA 872 00:48:29,740 --> 00:48:33,144 and the DNA on file collected from the crime scenes. 873 00:48:33,144 --> 00:48:36,781 ♪ 874 00:48:36,781 --> 00:48:39,550 The forensic biology supervisor called me 875 00:48:39,550 --> 00:48:41,519 with his staff who worked on the case. 876 00:48:41,519 --> 00:48:49,460 ♪ 877 00:48:49,460 --> 00:48:53,230 They were excited to tell me it was a match. 878 00:48:53,230 --> 00:48:55,833 I mean, I admit I had a little bit of a moment to myself 879 00:48:55,833 --> 00:48:57,268 after that phone call. [ Laughs ] 880 00:48:57,268 --> 00:49:02,106 So, yeah, that was a good feeling. 881 00:49:02,106 --> 00:49:06,243 Darold Wayne Bowden had already been arrested many times 882 00:49:06,243 --> 00:49:08,345 and had many, many charges, 883 00:49:08,345 --> 00:49:13,417 but they just never led to DNA collection. 884 00:49:13,417 --> 00:49:15,719 Somerindyke: He had a felony conviction in the '90s, 885 00:49:15,719 --> 00:49:17,455 spent a little bit of time in prison, 886 00:49:17,455 --> 00:49:19,457 but it was before the state of North Carolina 887 00:49:19,457 --> 00:49:22,026 mandated DNA collection for felony. 888 00:49:22,026 --> 00:49:23,928 Woolverton: If they had been collecting DNA, 889 00:49:23,928 --> 00:49:25,529 they might have found him much sooner. 890 00:49:25,529 --> 00:49:27,465 They might have found him after the first one. 891 00:49:27,465 --> 00:49:31,502 Somerindyke: He barely avoided that DNA radar for his entire life. 892 00:49:31,502 --> 00:49:33,070 We were close so many times. 893 00:49:33,070 --> 00:49:37,975 Just, the law wasn't there to collect his DNA yet. 894 00:49:37,975 --> 00:49:42,012 Moore: He wasn't a soldier deployed overseas, and he hadn't died. 895 00:49:42,012 --> 00:49:45,115 In fact, he was nearby and in plain sight. 896 00:49:45,115 --> 00:49:50,154 He lived just a few miles away, one turn off Ramsey Street. 897 00:49:50,154 --> 00:49:52,289 Somerindyke: You have to get him 'cause until he's in handcuffs, 898 00:49:52,289 --> 00:49:54,925 it's still an unsolved case, as far as I'm concerned. 899 00:49:54,925 --> 00:49:58,262 ♪ 900 00:50:15,513 --> 00:50:17,047 Tristan tweeted, 901 00:50:17,047 --> 00:50:19,183 ‘Anyone else remember when any footlong was five dollars? 902 00:50:19,183 --> 00:50:21,619 Those were the good days.' 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I looked at my cellphone, 973 00:54:22,392 --> 00:54:25,863 and I had two missed calls from Lieutenant Somerindyke, 974 00:54:25,863 --> 00:54:28,532 and I call him, and he answers the phone 975 00:54:28,532 --> 00:54:31,502 and all he says is, "We got him." 976 00:54:31,502 --> 00:54:37,875 I dropped to my knees, and I hadn't said anything yet, 977 00:54:37,875 --> 00:54:41,211 and he said, "Do you realize what I'm saying? We got him." 978 00:54:41,211 --> 00:54:43,580 Reporter: Breaking news happening right now in Fayetteville. 979 00:54:43,580 --> 00:54:45,482 Police make an arrest in a series of attacks 980 00:54:45,482 --> 00:54:47,384 that happened more than a decade ago. 981 00:54:47,384 --> 00:54:49,653 If you remember two years ago, I was standing up here 982 00:54:49,653 --> 00:54:51,955 guaranteeing we were gonna make an arrest in this case. 983 00:54:51,955 --> 00:54:53,891 I think some of you were in the room then. 984 00:54:53,891 --> 00:54:56,093 And so here we are ‐‐ we made an arrest. 985 00:54:56,093 --> 00:54:57,394 Woolverton: I mean, it was huge. 986 00:54:57,394 --> 00:54:58,495 They had a big press conference 987 00:54:58,495 --> 00:54:59,830 to announce they made the arrest. 988 00:54:59,830 --> 00:55:02,199 Reporter: Police conducted three separate sting operations 989 00:55:02,199 --> 00:55:04,668 involving Bowden to get his DNA 990 00:55:04,668 --> 00:55:09,706 and then match it with the DNA found at the crime scene. 991 00:55:09,706 --> 00:55:11,108 You know, I think for three years, 992 00:55:11,108 --> 00:55:12,276 I've poured my heart and soul 993 00:55:12,276 --> 00:55:14,211 in these and a lot of our other cases, too. 994 00:55:14,211 --> 00:55:16,113 I'm sorry. Just... 995 00:55:16,113 --> 00:55:19,716 And, you know, I'm just glad we got the guy finally. 996 00:55:19,716 --> 00:55:22,419 Yeah, I think it just was the excitement, the emotion, 997 00:55:22,419 --> 00:55:24,621 the elation finally setting in. 998 00:55:24,621 --> 00:55:29,393 Yeah, it was like, "Man, damn. Yeah, we did it," you know? 999 00:55:29,393 --> 00:55:32,796 Prosecutor: Your Honor, the defendant would be a danger to the community. 1000 00:55:32,796 --> 00:55:40,003 He is alleged to have committed... 1001 00:55:40,003 --> 00:55:42,139 Somerindyke: Darold Wayne Bowden is currently being held 1002 00:55:42,139 --> 00:55:44,208 at the Cumberland County Detention Center 1003 00:55:44,208 --> 00:55:46,476 on over 40 felony charges. 1004 00:55:46,476 --> 00:55:48,745 Woolverton: His bail was nearly $19 million. 1005 00:55:48,745 --> 00:55:50,948 This looks like the cops have a very strong case 1006 00:55:50,948 --> 00:55:52,616 against Darold Wayne Bowden. 1007 00:55:52,616 --> 00:55:56,720 Somerindyke: We anticipate it going to trial. 1008 00:55:56,720 --> 00:55:58,856 [ Keyboard clacking ] 1009 00:55:58,856 --> 00:56:04,261 Moore: When Kobi first reached out to me, 1010 00:56:04,261 --> 00:56:07,431 it was a big surprise. It hadn't even crossed my mind 1011 00:56:07,431 --> 00:56:10,133 that I would hear from a survivor 1012 00:56:10,133 --> 00:56:12,769 on one of the law enforcement cases 1013 00:56:12,769 --> 00:56:14,071 that I've been involved in. 1014 00:56:14,071 --> 00:56:15,505 [ Doorbell rings ] 1015 00:56:15,505 --> 00:56:17,774 Hi! Hi! 1016 00:56:17,774 --> 00:56:20,277 It's so nice to see you. You too. 1017 00:56:20,277 --> 00:56:24,948 Kobi is the first survivor I have ever met, 1018 00:56:24,948 --> 00:56:29,486 and that is definitely unique. How have you been feeling? 1019 00:56:29,486 --> 00:56:32,656 That same day after the arrest, almost instantly, it was like 1020 00:56:32,656 --> 00:56:35,559 there was this weight that I didn't really even realize 1021 00:56:35,559 --> 00:56:38,662 I'd been carrying around for so long that just kind of 1022 00:56:38,662 --> 00:56:40,397 lifted off my shoulders. Really? 1023 00:56:40,397 --> 00:56:42,532 Yeah. Did you think he'd ever be caught? 1024 00:56:42,532 --> 00:56:44,902 I didn't want to say I lost hope, 1025 00:56:44,902 --> 00:56:49,373 but my hopes kind of dwindled over the years. 1026 00:56:49,373 --> 00:56:52,309 You know, I do still have those "What if"s. Mm‐hmm. 1027 00:56:52,309 --> 00:56:55,045 Would I be married and have kids by now? 1028 00:56:55,045 --> 00:56:56,413 What would have been different 1029 00:56:56,413 --> 00:56:58,982 if none of this would have happened? 1030 00:56:58,982 --> 00:57:02,152 Did it ever cross your mind not to report it when it happened? 1031 00:57:02,152 --> 00:57:03,887 No. 1032 00:57:03,887 --> 00:57:05,622 You knew you were going to? Yeah. 1033 00:57:05,622 --> 00:57:08,859 Also, because I was studying criminal justice at the time, 1034 00:57:08,859 --> 00:57:10,961 there was never any doubt that I was gonna make sure 1035 00:57:10,961 --> 00:57:14,665 I could do whatever I could to catch this guy. 1036 00:57:14,665 --> 00:57:16,633 She was so brave 1037 00:57:16,633 --> 00:57:20,904 that she not only protected her roommate and friend, 1038 00:57:20,904 --> 00:57:25,108 but she also was going public to help other survivors. 1039 00:57:25,108 --> 00:57:29,713 It's time for something to change. It needs to happen. 1040 00:57:29,713 --> 00:57:32,749 Each interview I've done, I'll get messages, 1041 00:57:32,749 --> 00:57:35,619 "I just wanted you to know this happened to me, 1042 00:57:35,619 --> 00:57:37,587 and I'm happy you came forward, 1043 00:57:37,587 --> 00:57:39,089 'cause not everybody can do that." 1044 00:57:39,089 --> 00:57:41,658 And the thing is, for every person you hear from, 1045 00:57:41,658 --> 00:57:44,895 there's many more out there that you are not hearing from, 1046 00:57:44,895 --> 00:57:47,164 so your impact is much, much larger 1047 00:57:47,164 --> 00:57:49,466 than I think you even realize. 1048 00:57:49,466 --> 00:57:52,536 I do feel like I'm starting to get that closure. 1049 00:57:52,536 --> 00:57:55,372 It's almost like I got a reset button, 1050 00:57:55,372 --> 00:57:58,542 like I can start over, and now I can kind of move forward 1051 00:57:58,542 --> 00:58:00,978 and become the person 1052 00:58:00,978 --> 00:58:05,082 that I should have been a long time ago. 1053 00:58:05,082 --> 00:58:07,250 Somerindyke: With all of our cold case victims, 1054 00:58:07,250 --> 00:58:09,953 they are always looking over their shoulder, wondering, 1055 00:58:09,953 --> 00:58:12,956 "Is a suspect watching me? Is a suspect following me?" 1056 00:58:12,956 --> 00:58:15,359 But, you know, I think we're starting to see a shift now 1057 00:58:15,359 --> 00:58:17,594 with a lot of arrests in the cold case community. 1058 00:58:17,594 --> 00:58:19,863 Now the suspects are the ones saying, 1059 00:58:19,863 --> 00:58:22,432 "Are the police following me? Are the police watching me? 1060 00:58:22,432 --> 00:58:23,800 Are the police gonna get me?" 1061 00:58:23,800 --> 00:58:27,571 And my answer to them now is "Heck yeah, we are." 1062 00:58:27,571 --> 00:58:29,172 Moore: When I was first interacting 1063 00:58:29,172 --> 00:58:31,441 with Detective Somerindyke on this case, 1064 00:58:31,441 --> 00:58:35,212 I really had had very limited exposure to law enforcement. 1065 00:58:35,212 --> 00:58:39,783 Although a year isn't very long, I do feel a bit like a veteran 1066 00:58:39,783 --> 00:58:42,586 of investigative genetic genealogy at this point. 1067 00:58:42,586 --> 00:58:44,554 A lot has transpired. 1068 00:58:44,554 --> 00:58:45,655 [ Chuckles ] 1069 00:58:45,655 --> 00:58:46,990 Kind of amazing. 1070 00:58:46,990 --> 00:58:49,126 Somerindyke: I really think law enforcement 1071 00:58:49,126 --> 00:58:51,228 should get on board with genetic genealogy. 1072 00:58:51,228 --> 00:58:52,796 It's a game changer. 1073 00:58:52,796 --> 00:58:54,998 Not just for cold cases ‐‐ for current cases, too. 1074 00:58:54,998 --> 00:58:57,467 We can be using it, putting a lot of bad people in jail. 1075 00:58:57,467 --> 00:59:04,541 ♪ 1076 00:59:04,541 --> 00:59:11,081 ♪ 1077 00:59:11,581 --> 00:59:21,591 ♪ 88842

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