All language subtitles for The Genetic Detective - 1x04_track3_eng

af Afrikaans
sq Albanian
am Amharic
ar Arabic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bn Bengali
bs Bosnian
bg Bulgarian
ca Catalan
ceb Cebuano
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English Download
eo Esperanto
et Estonian
tl Filipino
fi Finnish
fr French
fy Frisian
gl Galician
ka Georgian
de German
el Greek
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
km Khmer
ko Korean
ku Kurdish (Kurmanji)
ky Kyrgyz
lo Lao
la Latin
lv Latvian
lt Lithuanian
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mn Mongolian
my Myanmar (Burmese)
ne Nepali
no Norwegian
ps Pashto
fa Persian
pl Polish
pt Portuguese
pa Punjabi
ro Romanian
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
st Sesotho
sn Shona
sd Sindhi
si Sinhala
sk Slovak
sl Slovenian
so Somali
es Spanish Download
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
te Telugu
th Thai
tr Turkish
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
or Odia (Oriya)
rw Kinyarwanda
tk Turkmen
tt Tatar
ug Uyghur
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,500 --> 00:00:03,770 ♪♪ 2 00:00:03,770 --> 00:00:05,739 Moore: When I first started as a genealogist, 3 00:00:05,739 --> 00:00:07,140 I never could've imagined 4 00:00:07,140 --> 00:00:09,542 it would lead me to a place like this. 5 00:00:09,542 --> 00:00:13,346 In April 1988, this was a crime scene, 6 00:00:13,346 --> 00:00:18,451 part of a truly horrific murder that went unsolved for decades. 7 00:00:18,451 --> 00:00:22,522 Though the kinds of questions that I answer have changed, 8 00:00:22,522 --> 00:00:25,024 my work has always been about family, 9 00:00:25,024 --> 00:00:29,095 and I wanted to bring answers to the family of April Tinsley. 10 00:00:29,095 --> 00:00:31,131 They'd waited long enough. 11 00:00:32,866 --> 00:00:34,344 I'm CeCe Moore. 12 00:00:34,344 --> 00:00:36,880 For years, genealogy was my hobby, 13 00:00:36,880 --> 00:00:38,849 and then it became my career. 14 00:00:38,849 --> 00:00:40,784 Soon, I realized 15 00:00:40,784 --> 00:00:43,320 that the techniques I developed to reunite families 16 00:00:43,320 --> 00:00:46,690 could also be used to identify killers. 17 00:00:46,690 --> 00:00:48,558 Now my team and I 18 00:00:48,558 --> 00:00:51,795 help the police hunt violent criminals. 19 00:00:51,795 --> 00:00:53,930 I'm a new kind of detective. 20 00:00:53,930 --> 00:00:56,199 ‐‐ Captions by VITAC ‐‐ 21 00:00:56,199 --> 00:00:58,568 Man: CeCe sit‐down, scene 1, take 1. 22 00:00:58,568 --> 00:00:59,636 Marker. 23 00:00:59,636 --> 00:01:00,737 [ Clack ] 24 00:01:00,737 --> 00:01:05,409 I made my living as an actress/singer/host 25 00:01:05,409 --> 00:01:07,010 until I was 35. 26 00:01:07,010 --> 00:01:08,378 [ Laughter ] 27 00:01:08,378 --> 00:01:10,280 May I get you a drink, sir? 28 00:01:12,049 --> 00:01:14,751 The types of parts that I was often getting 29 00:01:14,751 --> 00:01:16,319 were not very fulfilling. 30 00:01:16,319 --> 00:01:17,454 [ Laughs ] 31 00:01:17,454 --> 00:01:18,355 [ Camera shutter clicks ] 32 00:01:18,355 --> 00:01:19,256 I did some great roles, too... 33 00:01:19,256 --> 00:01:21,124 [ Singing indistinctly ] 34 00:01:21,124 --> 00:01:26,196 ...but I was very torn between academics and performing, 35 00:01:26,196 --> 00:01:27,731 and there was definitely part of me 36 00:01:27,731 --> 00:01:31,101 who felt like I hadn't been using my brain. 37 00:01:31,101 --> 00:01:33,303 Okay. Stolen evidence. 38 00:01:34,571 --> 00:01:38,909 And so, when the crime happened in April 1988, 39 00:01:38,909 --> 00:01:41,778 I was not yet doing genealogy. 40 00:01:46,783 --> 00:01:48,452 30 years. 41 00:01:48,452 --> 00:01:52,089 It was the highest‐profile cold case in Indiana history. 42 00:01:54,024 --> 00:01:56,827 Reporter: The first grader at Fairfield Elementary School 43 00:01:56,827 --> 00:01:58,228 was reported missing Friday. 44 00:01:58,228 --> 00:02:00,730 Police spent four days looking for the young girl 45 00:02:00,730 --> 00:02:04,167 in a 20‐square‐block area in South Central Fort Wayne. 46 00:02:04,167 --> 00:02:06,403 A jogger happened onto the young girl's body 47 00:02:06,403 --> 00:02:10,207 late this afternoon in a ditch along this state highway. 48 00:02:10,207 --> 00:02:12,809 Authorities won't say much about the condition of the body, 49 00:02:12,809 --> 00:02:14,678 only that it had probably been dumped there 50 00:02:14,678 --> 00:02:16,713 sometime over the weekend. 51 00:02:16,713 --> 00:02:18,982 Meihls: April Tinsley was found 52 00:02:18,982 --> 00:02:21,451 about 18 miles north of Fort Wayne. 53 00:02:21,451 --> 00:02:22,786 [ Camera shutter clicking ] 54 00:02:22,786 --> 00:02:23,987 She was fully clothed 55 00:02:23,987 --> 00:02:26,756 except for her pants were on backwards 56 00:02:26,756 --> 00:02:28,291 and a missing shoe 57 00:02:28,291 --> 00:02:31,094 that they found on the opposite side of the road. 58 00:02:31,094 --> 00:02:32,729 April had been raped and suffocated 59 00:02:32,729 --> 00:02:33,763 and possibly strangled. 60 00:02:33,763 --> 00:02:35,432 [ Camera shutter clicks ] 61 00:02:35,432 --> 00:02:36,833 Jackson: I was assigned to homicide 62 00:02:36,833 --> 00:02:38,268 approximately seven years, 63 00:02:38,268 --> 00:02:43,073 but I didn't have any homicides involving little children. 64 00:02:43,073 --> 00:02:46,476 It leaves an indentation that you can never get rid of. 65 00:02:46,476 --> 00:02:48,211 [ Camera shutter clicks ] 66 00:02:48,211 --> 00:02:50,313 Moore: For the family to find out 67 00:02:50,313 --> 00:02:52,682 that she was just kind of thrown away, 68 00:02:52,682 --> 00:02:54,184 it's a horrible thing. 69 00:02:54,184 --> 00:02:57,420 Reporter: A couple of hours after the body was discovered, 70 00:02:57,420 --> 00:03:00,323 police arrived at the home of April Marie's parents 71 00:03:00,323 --> 00:03:02,058 to deliver the bad news. 72 00:03:02,058 --> 00:03:04,494 ♪♪ 73 00:03:04,494 --> 00:03:07,898 Janet: When I was 16 years old, I told everybody, I said, 74 00:03:07,898 --> 00:03:09,065 when I got married, 75 00:03:09,065 --> 00:03:12,068 my first child was gonna be a little girl. 76 00:03:12,068 --> 00:03:14,037 "She's gonna have blond, curly hair, 77 00:03:14,037 --> 00:03:15,605 and she's gonna have blue eyes." 78 00:03:15,605 --> 00:03:18,842 Her name was gonna be April Marie. 79 00:03:18,842 --> 00:03:22,045 Snyder: April Tinsley is my cousin. 80 00:03:22,045 --> 00:03:23,513 She was my best friend. 81 00:03:23,513 --> 00:03:26,950 She always had a smile on her face, 82 00:03:26,950 --> 00:03:28,351 always a smile, 83 00:03:28,351 --> 00:03:31,021 and she always wanted to make you laugh. 84 00:03:31,021 --> 00:03:32,889 Moore: April's mother, Janet ‐‐ 85 00:03:32,889 --> 00:03:36,326 this has taken a huge toll on her. 86 00:03:36,326 --> 00:03:38,361 I don't know how a parent even goes on 87 00:03:38,361 --> 00:03:40,030 after something like this. 88 00:03:41,965 --> 00:03:49,673 ♪♪ 89 00:03:49,673 --> 00:03:53,610 By 1988, we had heard about the DNA. 90 00:03:53,610 --> 00:03:57,547 We didn't understand how it worked or what it was, 91 00:03:57,547 --> 00:04:00,884 but that very week, we took a workshop, 92 00:04:00,884 --> 00:04:03,820 and it couldn't have happened at a better time, 93 00:04:03,820 --> 00:04:06,456 because they had performed a sexual‐assault kit, 94 00:04:06,456 --> 00:04:09,226 a rape kit, on April, 95 00:04:09,226 --> 00:04:10,994 and they found some semen. 96 00:04:10,994 --> 00:04:13,830 If the evidence wasn't collected correctly 97 00:04:13,830 --> 00:04:15,765 and then if it wasn't stored well 98 00:04:15,765 --> 00:04:17,334 for all of these decades, 99 00:04:17,334 --> 00:04:20,770 it would be impossible to apply genetic genealogy to it, 100 00:04:20,770 --> 00:04:22,839 and that's certainly true in this case. 101 00:04:22,839 --> 00:04:26,142 And all that evidence was sent to an outside lab. 102 00:04:26,142 --> 00:04:27,210 At that time, 103 00:04:27,210 --> 00:04:29,045 our department didn't have facilities 104 00:04:29,045 --> 00:04:30,380 to check any of the DNA. 105 00:04:30,380 --> 00:04:34,351 McDonald: The rudimentary procedure of the time 106 00:04:34,351 --> 00:04:37,621 demanded that you have a large sample. 107 00:04:37,621 --> 00:04:41,224 So in 1988, 108 00:04:41,224 --> 00:04:45,695 they were unable to obtain a DNA profile from the suspect. 109 00:04:47,564 --> 00:04:50,200 Moore: The technology didn't exist, 110 00:04:50,200 --> 00:04:55,038 but there was a lot of terrific work done by the investigators 111 00:04:55,038 --> 00:04:56,339 from Day 1. 112 00:04:58,541 --> 00:05:00,477 Wow! Look at that. 113 00:05:00,477 --> 00:05:02,245 They thought they had a break. 114 00:05:02,245 --> 00:05:05,215 ♪♪ 115 00:05:05,215 --> 00:05:06,750 Reporter: This is the face 116 00:05:06,750 --> 00:05:07,851 Fort Wayne police 117 00:05:07,851 --> 00:05:09,619 are trying to track down. 118 00:05:09,619 --> 00:05:11,321 The information for the composite 119 00:05:11,321 --> 00:05:14,157 came from two witnesses who saw Tinsley 120 00:05:14,157 --> 00:05:16,693 as she was walking through the South Central neighborhood 121 00:05:16,693 --> 00:05:19,262 and was forced into a dark‐blue pickup truck. 122 00:05:19,262 --> 00:05:20,397 [ Siren wails, police radio chatter ] 123 00:05:20,397 --> 00:05:22,399 Jackson: We ran every blue truck in Allen County, 124 00:05:22,399 --> 00:05:24,167 and there were just thousands of them. 125 00:05:24,167 --> 00:05:26,836 But nothing shown up. 126 00:05:26,836 --> 00:05:29,372 [ Police radio chatter ] 127 00:05:29,372 --> 00:05:32,208 Duffy: Over the next couple of years, 128 00:05:32,208 --> 00:05:33,977 they followed every lead, the police. 129 00:05:33,977 --> 00:05:37,514 Anybody that had any kind of sex crime, 130 00:05:37,514 --> 00:05:38,615 they were checked out. 131 00:05:38,615 --> 00:05:40,950 [ Siren wails ] Nothing was thrown aside. 132 00:05:40,950 --> 00:05:43,420 It was just completely frustrating 133 00:05:43,420 --> 00:05:46,623 when we couldn't come up with a prime suspect. 134 00:05:46,623 --> 00:05:49,426 ♪♪ 135 00:05:49,426 --> 00:05:52,796 [ Microfilm machine clicking ] 136 00:05:54,831 --> 00:05:58,568 Moore: What made this case, I think, even more high‐profile 137 00:05:58,568 --> 00:06:01,671 was because the perpetrator 138 00:06:01,671 --> 00:06:03,540 had started taunting 139 00:06:03,540 --> 00:06:06,276 the law enforcement and the public. 140 00:06:06,276 --> 00:06:08,445 Jackson: May of 1990, 141 00:06:08,445 --> 00:06:10,613 two years after April was killed, 142 00:06:10,613 --> 00:06:14,150 there was a message written on a side of a barn. 143 00:06:15,618 --> 00:06:20,790 Duffy: "I kill 8 yea olb April Marie Tisley. 144 00:06:20,790 --> 00:06:24,094 Did you find her other shoe? 145 00:06:24,094 --> 00:06:27,297 Ha ha! I will kill again." 146 00:06:27,297 --> 00:06:29,966 The police had never reported 147 00:06:29,966 --> 00:06:33,236 that the other shoe was found near April's body. 148 00:06:33,236 --> 00:06:36,573 Jackson: We knew that it was the killer of April Marie Tinsley. 149 00:06:36,573 --> 00:06:38,375 Everybody went out. 150 00:06:38,375 --> 00:06:40,377 They canvassed that complete area. 151 00:06:40,377 --> 00:06:42,312 Duffy: He's taunting the police. 152 00:06:42,312 --> 00:06:43,947 He's taunting the community. 153 00:06:43,947 --> 00:06:45,448 Snyder: Everybody was scared. 154 00:06:45,448 --> 00:06:48,385 I had dreams about her being inside the barn 155 00:06:48,385 --> 00:06:52,255 and some shadowy figure being in there with her. 156 00:06:52,255 --> 00:06:56,760 Every time you go outside, you're thinking... 157 00:06:56,760 --> 00:06:58,161 "Are you him?" 158 00:06:58,161 --> 00:07:02,465 ♪♪ 159 00:07:02,465 --> 00:07:04,300 Then, as a couple years went by 160 00:07:04,300 --> 00:07:06,236 and then a couple more years went by, 161 00:07:06,236 --> 00:07:10,240 you get the feeling like it's not gonna be solved, 162 00:07:10,240 --> 00:07:13,843 and you start losing hope. 163 00:07:13,843 --> 00:07:16,980 I prayed every night, because we couldn't catch him. 164 00:07:16,980 --> 00:07:19,048 We couldn't even come close to catching him. 165 00:07:19,048 --> 00:07:21,985 It would take a miracle for him to get caught. 166 00:07:21,985 --> 00:07:31,961 ♪♪ 167 00:07:31,961 --> 00:07:41,971 ♪♪ 168 00:07:41,971 --> 00:07:43,473 Moore: When I got the Tinsley case, 169 00:07:43,473 --> 00:07:45,542 it was May 2018. 170 00:07:45,542 --> 00:07:49,412 I was working with this company named Parabon. 171 00:07:49,412 --> 00:07:51,781 We were using crime‐scene DNA 172 00:07:51,781 --> 00:07:54,551 to create this genetic‐genealogy unit 173 00:07:54,551 --> 00:07:57,120 and offering those services to law enforcement, 174 00:07:57,120 --> 00:07:59,689 and I was the genetic genealogist. 175 00:07:59,689 --> 00:08:02,025 Moore: How were the call rates on these? 176 00:08:02,025 --> 00:08:04,327 Most of them, we were able to get good call rates, 177 00:08:04,327 --> 00:08:05,929 about 90%. 178 00:08:05,929 --> 00:08:08,565 Most of the time, I'm working from home, 179 00:08:08,565 --> 00:08:10,099 which is usually very far 180 00:08:10,099 --> 00:08:11,601 from where the crime even happened. 181 00:08:11,601 --> 00:08:13,470 ♪♪ 182 00:08:13,470 --> 00:08:15,505 And I still have my family 183 00:08:15,505 --> 00:08:17,407 and my life that I have to deal with. 184 00:08:17,407 --> 00:08:20,276 We should ‐‐ We should put the treadmill in the garage. 185 00:08:20,276 --> 00:08:24,647 I understand why it could be hard to believe 186 00:08:24,647 --> 00:08:26,983 that I'm sitting on my couch at home, 187 00:08:26,983 --> 00:08:29,085 trying to help crack cold cases, 188 00:08:29,085 --> 00:08:31,888 but I really care about what happened, 189 00:08:31,888 --> 00:08:31,955 and I knew I had to help find the answer in this case. 190 00:08:31,955 --> 00:08:32,021 ♪♪ 191 00:08:35,391 --> 00:08:37,660 Man: CeCe sit‐down, scene 1, take 2. Marker. 192 00:08:37,660 --> 00:08:39,062 [ Clack ] 193 00:08:39,062 --> 00:08:42,799 Woman: So how did you go from acting/modeling/hosting... 194 00:08:42,799 --> 00:08:46,526 Yeah. ...to helping the police catch killers? 195 00:08:47,053 --> 00:08:49,722 So, around the year 2000, 196 00:08:49,722 --> 00:08:51,791 my oldest niece was getting married, 197 00:08:51,791 --> 00:08:53,359 and I was trying to think of 198 00:08:53,359 --> 00:08:55,528 what would be a good wedding present. 199 00:08:55,528 --> 00:08:56,996 And I thought, "I know ‐‐ 200 00:08:56,996 --> 00:08:59,065 I'll put together a family tree." 201 00:08:59,065 --> 00:09:01,401 Well, she never got that family tree 202 00:09:01,401 --> 00:09:04,203 [Chuckling] because I've never finished it. 203 00:09:04,203 --> 00:09:05,671 I got the bug, 204 00:09:05,671 --> 00:09:09,375 and I realized then that's what I loved to do. 205 00:09:09,375 --> 00:09:12,812 I was just doing traditional paper‐trail research, 206 00:09:12,812 --> 00:09:16,082 and it had nothing to do with DNA at that point, 207 00:09:16,082 --> 00:09:18,518 but at the very end of 2009, 208 00:09:18,518 --> 00:09:22,622 a company called 23andMe introduced Relative Finder. 209 00:09:22,622 --> 00:09:26,259 You could compare your autosomal DNA to other people, 210 00:09:26,259 --> 00:09:28,094 and if you share DNA, you're cousins. 211 00:09:28,094 --> 00:09:31,764 And I realized then that that changed everything. 212 00:09:31,764 --> 00:09:34,667 ♪♪ 213 00:09:34,667 --> 00:09:40,039 Genetic genealogy is so powerful for building family trees. 214 00:09:40,039 --> 00:09:41,641 This was what I wanted to do. 215 00:09:41,641 --> 00:09:44,143 I just jumped in with both feet. 216 00:09:44,143 --> 00:09:47,880 ♪♪ 217 00:09:47,880 --> 00:09:49,682 Poor Lennart had to completely take over 218 00:09:49,682 --> 00:09:53,152 pretty much everything else I was doing. 219 00:09:53,152 --> 00:09:54,887 Hmm. How should I describe you, Lennart? 220 00:09:56,889 --> 00:09:58,991 He's my husband. [ Laughs ] 221 00:09:58,991 --> 00:10:02,895 And Nicky is my son. 222 00:10:02,895 --> 00:10:05,598 I was helping people all day long, 223 00:10:05,598 --> 00:10:09,769 and they were really supportive of it. 224 00:10:09,769 --> 00:10:11,971 I knew that I was doing something unique, 225 00:10:11,971 --> 00:10:14,974 but I never realized how big it would become. 226 00:10:14,974 --> 00:10:17,877 The most brilliant genetic genealogist in the world. 227 00:10:17,877 --> 00:10:19,579 Give it up for CeCe Moore. 228 00:10:19,579 --> 00:10:20,913 [ Cheers and applause ] 229 00:10:20,913 --> 00:10:22,682 Moore: It was this wide‐open field. 230 00:10:22,682 --> 00:10:24,217 There were no experts. 231 00:10:24,217 --> 00:10:25,318 So it didn't matter 232 00:10:25,318 --> 00:10:26,919 that I didn't have a science degree. 233 00:10:26,919 --> 00:10:30,890 Dr. Henry Louis Gates Jr. offered me a job 234 00:10:30,890 --> 00:10:33,092 with PBS' "Finding Your Roots." 235 00:10:33,092 --> 00:10:35,127 And now, more recently, 236 00:10:35,127 --> 00:10:38,598 I've become a consultant and contributor for ABC News. 237 00:10:39,866 --> 00:10:45,071 Genealogy traditionally is to identify distant ancestors, 238 00:10:45,071 --> 00:10:47,640 but then adoptees started coming to me saying, 239 00:10:47,640 --> 00:10:48,941 "Do you think you could use 240 00:10:48,941 --> 00:10:50,710 these genetic‐genealogy techniques 241 00:10:50,710 --> 00:10:52,712 that you've been developing to help us?" 242 00:10:52,712 --> 00:10:54,514 find their recent ancestors, 243 00:10:54,514 --> 00:10:56,816 meaning their biological parents. 244 00:10:56,816 --> 00:11:01,587 It was such an interesting question. 245 00:11:01,587 --> 00:11:03,556 Oh, my God! I love you! 246 00:11:03,556 --> 00:11:06,626 Oh. It's so good to see you. 247 00:11:06,626 --> 00:11:08,327 By taking genetic genealogy 248 00:11:08,327 --> 00:11:10,596 and applying it to something new, 249 00:11:10,596 --> 00:11:13,699 they get those answers to their lifelong mysteries. 250 00:11:13,699 --> 00:11:15,034 And here's how it works. 251 00:11:15,034 --> 00:11:16,836 If you share DNA with someone, 252 00:11:16,836 --> 00:11:19,639 it means you have to share a common ancestor. 253 00:11:19,639 --> 00:11:22,108 As you go back in your family tree 254 00:11:22,108 --> 00:11:23,609 each generation, 255 00:11:23,609 --> 00:11:25,878 the amount of DNA that you inherit 256 00:11:25,878 --> 00:11:27,647 is approximately cut in half. 257 00:11:27,647 --> 00:11:30,917 So, based on how much DNA any two people share, 258 00:11:30,917 --> 00:11:33,786 I can estimate how many generations back 259 00:11:33,786 --> 00:11:34,987 I have to build 260 00:11:34,987 --> 00:11:37,590 to try to identify those common ancestors. 261 00:11:37,590 --> 00:11:41,827 So, when an adoptee would submit their DNA, 262 00:11:41,827 --> 00:11:44,030 they would get back a list of matches. 263 00:11:44,030 --> 00:11:47,400 We might get two groups of distant cousins 264 00:11:47,400 --> 00:11:49,969 from two different branches of their family tree. 265 00:11:49,969 --> 00:11:54,807 These separate groups of matches I call "genetic networks." 266 00:11:54,807 --> 00:11:57,944 Once I've identified the common ancestors, 267 00:11:57,944 --> 00:12:00,246 now I'm coming forward in time 268 00:12:00,246 --> 00:12:03,449 until those family trees finally triangulate 269 00:12:03,449 --> 00:12:05,418 with a child being born. 270 00:12:05,418 --> 00:12:08,921 And when this convergence of that ancestral DNA 271 00:12:08,921 --> 00:12:11,524 occurs in the right time and the right place 272 00:12:11,524 --> 00:12:14,193 to be the parent of the adoptee, 273 00:12:14,193 --> 00:12:17,229 I know I have found the right person. 274 00:12:17,229 --> 00:12:18,731 I was receiving e‐mails 275 00:12:18,731 --> 00:12:21,601 from forward‐thinking law‐enforcement professionals 276 00:12:21,601 --> 00:12:23,869 who read about the work I was doing 277 00:12:23,869 --> 00:12:25,871 and wondered if it could be applied 278 00:12:25,871 --> 00:12:28,541 to helping them identify unknown suspects. 279 00:12:28,541 --> 00:12:31,043 The question was could we, 280 00:12:31,043 --> 00:12:33,813 instead of submitting the DNA of an adoptee 281 00:12:33,813 --> 00:12:36,282 looking for their unknown birth parent, 282 00:12:36,282 --> 00:12:38,484 submit the DNA of an unknown suspect 283 00:12:38,484 --> 00:12:40,086 in a cold case 284 00:12:40,086 --> 00:12:42,622 and use the genetic‐genealogy techniques 285 00:12:42,622 --> 00:12:44,323 to determine their identity? 286 00:12:44,323 --> 00:12:47,593 And I knew the answer to that question was yes. 287 00:12:47,593 --> 00:12:51,297 And then I heard about this company named Parabon. 288 00:12:51,297 --> 00:12:53,366 I didn't have any experience working with law enforcement, 289 00:12:53,366 --> 00:12:54,767 and Parabon did. 290 00:12:54,767 --> 00:12:58,471 Armentrout: Parabon NanoLabs is a DNA‐technology company. 291 00:12:58,471 --> 00:12:59,605 Generally speaking, 292 00:12:59,605 --> 00:13:01,941 we're contacted by a law‐enforcement agency. 293 00:13:01,941 --> 00:13:03,909 So, if they get DNA at a crime scene, 294 00:13:03,909 --> 00:13:05,244 they send it to us. 295 00:13:05,244 --> 00:13:08,014 If it's a good enough sample, we'll have that genotype. 296 00:13:09,115 --> 00:13:11,751 Greytak: Traditional law‐enforcement forensic DNA analysis 297 00:13:11,751 --> 00:13:14,086 is looking at 20 or fewer markers. 298 00:13:14,086 --> 00:13:16,722 Parabon is looking at close to a million. 299 00:13:16,722 --> 00:13:18,190 DNA phenotyping means 300 00:13:18,190 --> 00:13:21,127 predicting a person's appearance from their DNA. 301 00:13:21,127 --> 00:13:22,628 We can predict their eye color, 302 00:13:22,628 --> 00:13:24,497 their hair color, their skin color, 303 00:13:24,497 --> 00:13:26,632 how many freckles they have on their face. 304 00:13:26,632 --> 00:13:28,901 This is not absolute. 305 00:13:28,901 --> 00:13:30,970 What's coming out is the probability. 306 00:13:30,970 --> 00:13:32,371 What we do is we look at 307 00:13:32,371 --> 00:13:34,373 all of the people in our database 308 00:13:34,373 --> 00:13:36,175 with known eye color, 309 00:13:36,175 --> 00:13:38,077 and when we make that same prediction, 310 00:13:38,077 --> 00:13:39,979 we can say what percentage of the time 311 00:13:39,979 --> 00:13:41,781 were those eyes, in fact, blue. 312 00:13:41,781 --> 00:13:43,983 So, we might be able to say this person has blue eyes 313 00:13:43,983 --> 00:13:46,318 with, say, 85% confidence. 314 00:13:46,318 --> 00:13:49,388 They were using microarray genotyping, 315 00:13:49,388 --> 00:13:52,358 which is exactly what we're doing in genetic genealogy. 316 00:13:53,426 --> 00:13:56,295 And it wasn't long before someone suggested, 317 00:13:56,295 --> 00:13:58,130 "You really need to talk to CeCe Moore." 318 00:13:58,130 --> 00:14:00,800 Parabon and I decided to join forces 319 00:14:00,800 --> 00:14:03,269 to create this genetic‐genealogy unit. 320 00:14:03,269 --> 00:14:06,272 [ Jet engine roars ] 321 00:14:06,272 --> 00:14:08,407 And shortly after that, 322 00:14:08,407 --> 00:14:12,211 Parabon asked me if I would work on the April Tinsley case. 323 00:14:14,146 --> 00:14:16,449 I'm really glad that I came to Fort Wayne. 324 00:14:16,449 --> 00:14:19,618 It takes me out of what I'm used to. 325 00:14:19,618 --> 00:14:22,688 But I felt a lot of pressure on this case 326 00:14:22,688 --> 00:14:26,425 because, 14 years after the writing on the barn, 327 00:14:26,425 --> 00:14:31,597 in 2004, the killer resurfaced 328 00:14:31,597 --> 00:14:35,434 and made everyone wonder, "Is he going to do it again?" 329 00:14:35,434 --> 00:14:36,589 ♪♪ 330 00:14:41,440 --> 00:14:47,011 ♪♪ 331 00:14:47,011 --> 00:14:48,579 Moore: I've arrived in Fort Wayne, 332 00:14:48,579 --> 00:14:50,648 and I'm going to meet with the people 333 00:14:50,648 --> 00:14:53,284 who worked on the April Tinsley case. 334 00:14:53,284 --> 00:14:55,219 Moore: When did you first start working on it? 335 00:14:55,219 --> 00:14:58,155 I began in November of 2005. 336 00:14:58,155 --> 00:15:00,157 At that time, was it considered cold? 337 00:15:00,157 --> 00:15:01,559 Yes, it was. 338 00:15:01,559 --> 00:15:03,160 Meihls: But we had some new information 339 00:15:03,160 --> 00:15:04,228 given to us at the time, 340 00:15:04,228 --> 00:15:05,763 where some letters had been deposited 341 00:15:05,763 --> 00:15:08,332 throughout the city. 342 00:15:08,332 --> 00:15:10,601 ♪♪ 343 00:15:10,601 --> 00:15:12,770 Duffy: 14 years go by 344 00:15:12,770 --> 00:15:16,274 since that note was scrawled on the barn. 345 00:15:16,274 --> 00:15:18,309 [ Eerie music plays ] 346 00:15:23,247 --> 00:15:28,519 And then, in 2004, starting in March, 347 00:15:28,519 --> 00:15:31,155 notes are found on a little girl's bicycle 348 00:15:31,155 --> 00:15:34,425 and flower pots in various locations. 349 00:15:34,425 --> 00:15:39,096 ♪♪ 350 00:15:39,096 --> 00:15:41,132 Meihls: In total, we found four notes 351 00:15:41,132 --> 00:15:43,601 that we felt came from our suspect. 352 00:15:43,601 --> 00:15:45,936 These letters all had some of the same verbiage 353 00:15:45,936 --> 00:15:48,639 that you saw on the barn‐door writings. 354 00:15:48,639 --> 00:15:53,210 And all four notes were targeting a young girl. 355 00:15:53,210 --> 00:15:55,479 "Hi, honey. I've been watching you." 356 00:15:55,479 --> 00:15:56,714 "Hi, honey. I've been watching you." 357 00:15:56,714 --> 00:15:58,482 "I've been watching you. 358 00:15:58,482 --> 00:15:59,984 I am the same person 359 00:15:59,984 --> 00:16:02,153 that kidnapped and rape and kill April Tinsley." 360 00:16:02,153 --> 00:16:03,521 "...April Tinsley. 361 00:16:03,521 --> 00:16:05,089 You are my next victim." 362 00:16:05,089 --> 00:16:06,824 "Here's a present for you. 363 00:16:06,824 --> 00:16:08,159 You are my next victim." 364 00:16:08,159 --> 00:16:10,161 "You are next. Ha ha." "Ha ha." 365 00:16:10,161 --> 00:16:11,962 "If you don't report this to police 366 00:16:11,962 --> 00:16:13,931 or I don't see this in the paper tomorrow..." 367 00:16:13,931 --> 00:16:15,199 "I will blow up your house, 368 00:16:15,199 --> 00:16:17,101 killing everyone but you. 369 00:16:17,101 --> 00:16:18,269 You will be mine." 370 00:16:18,269 --> 00:16:20,805 "You will be mine." 371 00:16:20,805 --> 00:16:23,607 ♪♪ 372 00:16:23,607 --> 00:16:26,344 Martin: The notes were concealed within a ziplock bag. 373 00:16:26,344 --> 00:16:29,347 In three out of those four bags, there's a used condom. 374 00:16:29,347 --> 00:16:31,082 We're talking about semen. 375 00:16:31,082 --> 00:16:33,851 But in the fourth one, 376 00:16:33,851 --> 00:16:37,955 there was a Polaroid of a man from the waist down 377 00:16:37,955 --> 00:16:39,724 sitting on a bed, 378 00:16:39,724 --> 00:16:41,959 and he was naked. 379 00:16:41,959 --> 00:16:45,629 It left a lot of questions, and, quite frankly, 380 00:16:45,629 --> 00:16:47,598 it scared the hell out of people with children. 381 00:16:47,598 --> 00:16:50,434 ♪♪ 382 00:16:50,434 --> 00:16:53,471 Snyder: I have major trust issues. 383 00:16:53,471 --> 00:16:56,240 I did not like guys around my kids. 384 00:16:56,240 --> 00:16:57,775 I even had a hard time 385 00:16:57,775 --> 00:16:59,877 even leaving my kids with their own father. 386 00:16:59,877 --> 00:17:03,214 ♪♪ 387 00:17:05,583 --> 00:17:06,784 When I got involved, 388 00:17:06,784 --> 00:17:09,086 they wanted me to organize all the evidence. 389 00:17:09,086 --> 00:17:12,056 There was a lot of evidence in three different locations ‐‐ 390 00:17:12,056 --> 00:17:13,224 state police, 391 00:17:13,224 --> 00:17:14,492 the Allen County Police Department, 392 00:17:14,492 --> 00:17:15,793 and the Fort Wayne Police Department, 393 00:17:15,793 --> 00:17:16,894 and they needed it organized. 394 00:17:16,894 --> 00:17:18,195 Do you hold all the evidence here, 395 00:17:18,195 --> 00:17:19,463 or is it spread out? 396 00:17:19,463 --> 00:17:20,631 Meihls: The state police, 397 00:17:20,631 --> 00:17:22,266 they chose to hang on to their evidence. 398 00:17:22,266 --> 00:17:23,934 Mm‐hmm. But what I chose to do, then, 399 00:17:23,934 --> 00:17:26,070 was start binders for each year. 400 00:17:26,070 --> 00:17:28,139 So, like, this here is a 2005, 401 00:17:28,139 --> 00:17:30,574 and this is all the e‐mails that were sent in this case 402 00:17:30,574 --> 00:17:31,909 just for one year. Wow. 403 00:17:31,909 --> 00:17:35,379 Where had he been since, you know, 1990 to 2004? 404 00:17:35,379 --> 00:17:37,381 Was it a big surprise when he re‐emerged? 405 00:17:37,381 --> 00:17:39,049 Meihls: We thought it was a gold mine, 406 00:17:39,049 --> 00:17:40,418 because anybody could've created those letters, 407 00:17:40,418 --> 00:17:42,887 but then he left his DNA to prove to us 408 00:17:42,887 --> 00:17:45,456 that he's the same person from 1988. 409 00:17:46,590 --> 00:17:48,526 Duffy: There are now more semen samples 410 00:17:48,526 --> 00:17:49,705 that probably could be connected to the killer 411 00:17:49,705 --> 00:17:52,041 if they had the technology to do it. 412 00:17:52,041 --> 00:17:54,971 ♪♪ 413 00:17:54,971 --> 00:17:57,107 Meihls: And when we tested the three condoms, 414 00:17:57,107 --> 00:17:59,552 we got a full DNA profile. 415 00:17:59,552 --> 00:18:02,121 We truly believe that it's the same person. 416 00:18:02,121 --> 00:18:04,890 So, at that point, we needed to prove 417 00:18:04,890 --> 00:18:07,126 that the semen in each one of those condoms 418 00:18:07,126 --> 00:18:10,162 matched April Tinsley's sexual assault kit, 419 00:18:10,162 --> 00:18:13,199 and I then started talking with Linda McDonald. 420 00:18:13,199 --> 00:18:16,168 [ Camera shutter clicks ] 421 00:18:16,168 --> 00:18:18,537 McDonald: What we were trying to do 422 00:18:18,537 --> 00:18:22,708 is convince the Indiana State Police 423 00:18:22,708 --> 00:18:26,679 that it was worth our time to reanalyze the items, 424 00:18:26,679 --> 00:18:29,048 that we can now get a complete profile. 425 00:18:29,048 --> 00:18:30,282 But the state police 426 00:18:30,282 --> 00:18:31,851 did not want to give me their evidence. 427 00:18:31,851 --> 00:18:36,455 It was a matter of turning it over to Fort Wayne 428 00:18:36,455 --> 00:18:40,826 so that we could work the case together. 429 00:18:40,826 --> 00:18:43,529 And that was difficult for everyone involved 430 00:18:43,529 --> 00:18:46,065 because we took this case so personally. 431 00:18:46,065 --> 00:18:50,603 Meihls: My role was simply me antagonizing people. 432 00:18:50,603 --> 00:18:53,973 Chris Meihls was very passionate about this case. 433 00:18:53,973 --> 00:18:55,674 You know as an individual 434 00:18:55,674 --> 00:18:57,109 what this little girl must've felt 435 00:18:57,109 --> 00:18:58,444 and had to go through. 436 00:18:58,444 --> 00:19:00,613 She's probably wanting her mom, you know? 437 00:19:00,613 --> 00:19:01,981 She's probably scared to death. 438 00:19:01,981 --> 00:19:03,649 It's emotional, and it's personal. 439 00:19:03,649 --> 00:19:05,818 We never dropped this case. 440 00:19:05,818 --> 00:19:07,353 Sometimes you can't. 441 00:19:07,353 --> 00:19:10,689 And, finally, in December of 2009, 442 00:19:10,689 --> 00:19:12,591 Linda took it upon herself 443 00:19:12,591 --> 00:19:13,759 to retrieve the evidence 444 00:19:13,759 --> 00:19:15,795 that they had at the Indiana State Police 445 00:19:15,795 --> 00:19:17,830 and do the examinations. 446 00:19:17,830 --> 00:19:19,698 She stuck her neck out to do something 447 00:19:19,698 --> 00:19:21,167 that maybe she wasn't supposed to do, 448 00:19:21,167 --> 00:19:22,968 but she went ahead and did it. 449 00:19:25,304 --> 00:19:26,872 McDonald: The alternative is 450 00:19:26,872 --> 00:19:29,241 all that evidence sat up in a storage facility, 451 00:19:29,241 --> 00:19:30,476 and it wasn't going anywhere. 452 00:19:30,476 --> 00:19:32,478 Degrading. Mm‐hmm. Yes, degrading. 453 00:19:32,478 --> 00:19:35,047 And the longer you wait, the more it degraded. 454 00:19:35,047 --> 00:19:37,583 So, it was a long shot. 455 00:19:37,583 --> 00:19:39,018 I knew it was a long shot, 456 00:19:39,018 --> 00:19:40,719 but we used to say 457 00:19:40,719 --> 00:19:43,789 we needed a stain the size of a quarter. Mm‐hmm. 458 00:19:43,789 --> 00:19:46,992 Now we say it can fit on the head of a pin. 459 00:19:48,294 --> 00:19:49,862 And, ultimately, 460 00:19:49,862 --> 00:19:54,066 I obtain a complete profile from the rape‐kit sample. 461 00:19:54,066 --> 00:19:56,135 ♪♪ 462 00:19:56,135 --> 00:19:59,605 Meihls: And it was a match to the condoms. 463 00:19:59,605 --> 00:20:02,942 In 2004, this guy is still out there. 464 00:20:04,510 --> 00:20:06,145 Convicted offenders, 465 00:20:06,145 --> 00:20:09,481 their DNA profile is uploaded into a database, 466 00:20:09,481 --> 00:20:11,884 and that database is called CODIS. 467 00:20:11,884 --> 00:20:13,919 By uploading it, 468 00:20:13,919 --> 00:20:16,188 we can compare our profile 469 00:20:16,188 --> 00:20:19,525 to convicted offenders from 50 states. 470 00:20:19,525 --> 00:20:25,231 The CODIS system usually worked in making matches, 471 00:20:25,231 --> 00:20:27,099 but it still didn't hit on anyone. 472 00:20:27,099 --> 00:20:30,970 Could it be that he only committed this crime 473 00:20:30,970 --> 00:20:32,571 and stopped? 474 00:20:32,571 --> 00:20:34,273 We got a match if we can just find him, 475 00:20:34,273 --> 00:20:36,108 so how do you find a needle in a haystack? 476 00:20:36,108 --> 00:20:38,410 ♪♪ 477 00:20:38,410 --> 00:20:41,680 In Indiana, there's a child‐killer running free. 478 00:20:41,680 --> 00:20:44,416 ♪♪ 479 00:20:44,416 --> 00:20:47,653 Meihls: In 2009, we did our media blitz. 480 00:20:47,653 --> 00:20:51,924 Media was a great tool for us to generate leads and tips. 481 00:20:51,924 --> 00:20:54,860 Meihls: In order to collect somebody's DNA, 482 00:20:54,860 --> 00:20:57,229 you have to have probable cause. 483 00:20:57,229 --> 00:20:59,899 In this investigation, any suspect they develop, 484 00:20:59,899 --> 00:21:02,801 no matter how simple or stupid the tip is, 485 00:21:02,801 --> 00:21:04,970 you work it, you collect their DNA. 486 00:21:04,970 --> 00:21:07,306 And that full profile was used 487 00:21:07,306 --> 00:21:08,574 to compare to all of our suspects 488 00:21:08,574 --> 00:21:10,509 that we collected DNA from. 489 00:21:10,509 --> 00:21:13,579 ♪♪ 490 00:21:13,579 --> 00:21:16,649 From 2009 up to 2014, 491 00:21:16,649 --> 00:21:18,717 every spare moment that I had 492 00:21:18,717 --> 00:21:20,686 when I wasn't working on my regular case load, 493 00:21:20,686 --> 00:21:22,354 I'm working on April Tinsley's case. 494 00:21:22,354 --> 00:21:25,491 McDonald: It became an obsession almost. 495 00:21:25,491 --> 00:21:27,860 "Darn it. I have good stuff on this. 496 00:21:27,860 --> 00:21:29,528 Why isn't this hitting?" 497 00:21:29,528 --> 00:21:33,165 Meihls: We were reaching the number of about 700‐some suspects. 498 00:21:33,165 --> 00:21:34,934 With every analysis, 499 00:21:34,934 --> 00:21:38,771 we are hopeful that, "This is our guy." 500 00:21:38,771 --> 00:21:40,272 Meihls: And then get the DNA testing done, 501 00:21:40,272 --> 00:21:41,807 and it's not him. 502 00:21:41,807 --> 00:21:44,143 It's like, "Yeah, it's just another false alarm, right?" 503 00:21:44,143 --> 00:21:45,477 McDonald: [ Sighs ] "Why? 504 00:21:45,477 --> 00:21:47,212 Why is this not happening?" 505 00:21:47,212 --> 00:21:49,114 Meihls: You lay in bed at night, and you think about the case. 506 00:21:49,114 --> 00:21:51,383 We've been working for how many years, 507 00:21:51,383 --> 00:21:52,418 we've got the DNA, 508 00:21:52,418 --> 00:21:55,621 and we can't find him since 2004. 509 00:21:55,621 --> 00:21:57,156 Is he alive? 510 00:21:57,156 --> 00:21:58,824 This needle in a haystack that we're looking for, 511 00:21:58,824 --> 00:21:59,992 does it even exist? 512 00:21:59,992 --> 00:22:05,798 ♪♪ 513 00:22:05,798 --> 00:22:10,869 April's Garden was dedicated to the memory of April Tinsley 514 00:22:10,869 --> 00:22:13,072 by people in the community. 515 00:22:13,072 --> 00:22:16,308 And in April of 2018, 516 00:22:16,308 --> 00:22:19,578 it was not uncommon to see Mrs. Tinsley 517 00:22:19,578 --> 00:22:23,382 sitting at April's memorial site. 518 00:22:23,382 --> 00:22:29,355 Janet: I had to do something to keep her memory going. 519 00:22:29,355 --> 00:22:32,157 When April was little, my husband, Mike, 520 00:22:32,157 --> 00:22:36,428 come home from work and lay down to relax, 521 00:22:36,428 --> 00:22:39,732 and you'd be hearing some giggles in the background. 522 00:22:39,732 --> 00:22:43,202 There comes April holding her brother's hand, 523 00:22:43,202 --> 00:22:44,470 and they both jump. 524 00:22:44,470 --> 00:22:46,038 She jumps on his back. 525 00:22:46,038 --> 00:22:48,507 He gets the legs and the butt. 526 00:22:48,507 --> 00:22:54,279 Then they would get off, and they'll start laughing. 527 00:22:54,279 --> 00:22:58,417 We used to have everything, 528 00:22:58,417 --> 00:23:04,390 and it's like the bottom of the floor just fell out. 529 00:23:05,758 --> 00:23:07,493 Snyder: I always, you know, wonder 530 00:23:07,493 --> 00:23:09,762 what kind of mother would April have been 531 00:23:09,762 --> 00:23:12,965 and [Sniffles] 532 00:23:12,965 --> 00:23:14,800 would our kids have the same relationship 533 00:23:14,800 --> 00:23:16,068 that me and her had. 534 00:23:16,068 --> 00:23:20,706 Janet: 30 years, I'm sitting here thinking, 535 00:23:20,706 --> 00:23:24,076 "It's never gonna be solved." 536 00:23:24,076 --> 00:23:26,145 Martin: At that moment, 537 00:23:26,145 --> 00:23:30,082 I don't think any of us could've fathomed 538 00:23:30,082 --> 00:23:32,184 what was getting ready to happen... 539 00:23:32,184 --> 00:23:34,219 ♪♪ 540 00:23:34,219 --> 00:23:34,953 ...and how everybody's life was gonna change. 541 00:23:34,953 --> 00:23:35,254 ♪♪ 542 00:23:39,913 --> 00:23:43,469 ♪♪ 543 00:23:43,469 --> 00:23:46,252 Martin: I am from Fort Wayne ‐‐ I was born and raised. 544 00:23:46,252 --> 00:23:50,156 In 1988, I would've been 14 years old. 545 00:23:50,156 --> 00:23:53,259 So, I've known about the April Tinsley case 546 00:23:53,259 --> 00:23:55,995 since I was in high school. 547 00:23:55,995 --> 00:23:59,365 I work cold‐case homicide for the City of Fort Wayne, 548 00:23:59,365 --> 00:24:02,868 and I became involved in the April Tinsley case 549 00:24:02,868 --> 00:24:04,603 approximately 2016. 550 00:24:04,603 --> 00:24:06,372 It was overwhelming ‐‐ 551 00:24:06,372 --> 00:24:10,209 over 900 pages of report that I had to go through, 552 00:24:10,209 --> 00:24:13,879 and I remember thinking to myself, "Where do I begin?" 553 00:24:13,879 --> 00:24:19,018 And then, on May the 11th of 2018, 554 00:24:19,018 --> 00:24:20,753 I got an e‐mail from Parabon. 555 00:24:20,753 --> 00:24:22,154 They had a new service. 556 00:24:22,154 --> 00:24:23,689 It was genetic genealogy. 557 00:24:23,689 --> 00:24:24,957 I was somewhat skeptical. 558 00:24:24,957 --> 00:24:28,527 I didn't fully understand what genetic genealogy was 559 00:24:28,527 --> 00:24:31,430 and how they would use it to identify our killer exactly, 560 00:24:31,430 --> 00:24:33,399 but yet I did not ask the department 561 00:24:33,399 --> 00:24:36,068 because I didn't want to run into red tape and a roadblock. 562 00:24:36,068 --> 00:24:39,071 McDonald: The evidence we got in 1988 563 00:24:39,071 --> 00:24:44,877 was a mixture of April Tinsley and the suspect... 564 00:24:44,877 --> 00:24:49,014 where the evidence that we got from the condoms was pure. 565 00:24:49,014 --> 00:24:52,451 So, we utilized swabs from the condoms, 566 00:24:52,451 --> 00:24:54,186 and that was sent to Parabon. 567 00:24:54,186 --> 00:24:55,221 [ Camera shutter clicks ] 568 00:24:55,221 --> 00:24:56,856 The sample had plenty of quantity. 569 00:24:56,856 --> 00:24:59,458 There was no measured degradation in the analysis. 570 00:24:59,458 --> 00:25:03,796 CODIS is a criminal database, whereas we're using GEDmatch, 571 00:25:03,796 --> 00:25:06,866 which is a publicly available database, 572 00:25:06,866 --> 00:25:09,869 where people have voluntarily put their DNA in there. 573 00:25:09,869 --> 00:25:12,772 Greytak: And what GEDmatch gives us is a list 574 00:25:12,772 --> 00:25:17,710 of people who share the most DNA with our unknown person. 575 00:25:17,710 --> 00:25:20,045 Greytak: Believe it or not, this has actually been 576 00:25:20,045 --> 00:25:22,014 the most cases that we've ever had in a month. 577 00:25:22,014 --> 00:25:23,382 How are they looking? 578 00:25:23,382 --> 00:25:26,786 So, at least one had a 300‐plus centimorgan match... 579 00:25:26,786 --> 00:25:29,855 Oh, good. ...so second‐cousin level maybe? 580 00:25:29,855 --> 00:25:31,023 It's just more exciting. 581 00:25:31,023 --> 00:25:32,758 I hate giving them 5s, as you know. 582 00:25:32,758 --> 00:25:34,126 I do an assessment, 583 00:25:34,126 --> 00:25:36,562 meaning I rank it between 1 and 5. 584 00:25:36,562 --> 00:25:38,931 This is my personal rating scale 585 00:25:38,931 --> 00:25:42,501 of how likely it is that genetic genealogy 586 00:25:42,501 --> 00:25:44,603 will help lead to the suspect's identity. 587 00:25:44,603 --> 00:25:49,074 1 is extremely promising, and 5 is pretty much impossible, 588 00:25:49,074 --> 00:25:51,310 so I gave this case a 4‐plus. 589 00:25:51,310 --> 00:25:55,714 Martin: They believed that they would be able to identify 590 00:25:55,714 --> 00:25:58,584 a great‐grandparent or a great‐great‐grandparent. 591 00:25:58,584 --> 00:26:01,620 But it's not likely to lead directly to the suspect. 592 00:26:01,620 --> 00:26:04,023 ♪♪ 593 00:26:04,023 --> 00:26:05,958 And that's when CeCe gets to work. 594 00:26:05,958 --> 00:26:10,262 [ Up‐tempo music plays ] 595 00:26:10,262 --> 00:26:16,135 ♪♪ 596 00:26:16,135 --> 00:26:20,739 Moore: Now, when I identified the matches in GEDmatch, 597 00:26:20,739 --> 00:26:22,875 it looked like we had quite a number 598 00:26:22,875 --> 00:26:26,545 of third, fourth, maybe fifth cousins and beyond. 599 00:26:26,545 --> 00:26:28,514 Remember, they share DNA with each other. 600 00:26:28,514 --> 00:26:30,416 Therefore, they must have a common ancestor. 601 00:26:30,416 --> 00:26:31,988 I know that that common ancestor or ancestral couple 602 00:26:31,988 --> 00:26:33,295 should also belong in the tree of our unknown subject. 603 00:26:33,295 --> 00:26:37,332 The first match and the third match are full siblings ‐‐ 604 00:26:37,332 --> 00:26:40,001 108 centimorgans and 131.6. 605 00:26:40,001 --> 00:26:42,470 So, they're gonna be the basis of my first genetic network. 606 00:26:42,470 --> 00:26:44,339 They don't share DNA with the second match, 607 00:26:44,339 --> 00:26:46,274 so that would be a different genetic network. 608 00:26:46,274 --> 00:26:48,810 127 centimorgans. 609 00:26:48,810 --> 00:26:51,813 Maybe second cousins once removed, maybe third cousins. 610 00:26:51,813 --> 00:26:53,581 Genetic network number 2. 611 00:26:53,581 --> 00:26:55,116 When I go to the fourth match, 612 00:26:55,116 --> 00:26:56,985 that match is not sharing any DNA 613 00:26:56,985 --> 00:26:59,120 with the first, second, or third match. 614 00:26:59,120 --> 00:27:00,488 97 centimorgans. 615 00:27:00,488 --> 00:27:01,823 So, you know what that is? 616 00:27:01,823 --> 00:27:03,391 That's my third genetic network. 617 00:27:03,391 --> 00:27:05,727 So, we've got three. Let's see if there's any more. 618 00:27:05,727 --> 00:27:07,028 1, 2, 3, 4. 619 00:27:07,028 --> 00:27:08,429 These two match each other, 620 00:27:08,429 --> 00:27:10,565 but they don't match anyone else so far. 621 00:27:10,565 --> 00:27:13,201 Genetic network number 4. Everyone has four grandparents. 622 00:27:13,201 --> 00:27:15,970 If they are third cousins with the subject, 623 00:27:15,970 --> 00:27:18,039 then they would share second great‐grandparents. 624 00:27:18,039 --> 00:27:20,508 If they're second cousins, they'd share great‐grandparents. 625 00:27:20,508 --> 00:27:23,244 I might have to build back to third great‐grandparents. 626 00:27:23,244 --> 00:27:24,445 I'm out of breath. 627 00:27:24,445 --> 00:27:25,847 [ Breathing heavily ] Woman: [ Laughs ] 628 00:27:25,847 --> 00:27:26,981 It doesn't make any sense yet. 629 00:27:26,981 --> 00:27:28,316 [ Laughs ] Yeah. 630 00:27:28,316 --> 00:27:30,852 It doesn't make sense yet, but we'll do some erasing. 631 00:27:30,852 --> 00:27:32,820 Bye‐bye. 632 00:27:32,820 --> 00:27:34,822 So, now that we have identified 633 00:27:34,822 --> 00:27:36,491 our four different genetic networks, 634 00:27:36,491 --> 00:27:38,193 it's just lots of tree building. 635 00:27:38,193 --> 00:27:40,862 I'm using obituaries, birth announcements. 636 00:27:40,862 --> 00:27:44,165 Often, you don't start hooking into genealogical records 637 00:27:44,165 --> 00:27:46,234 until you get to the 1940 census. 638 00:27:46,234 --> 00:27:48,403 For genetic network number 1, 639 00:27:48,403 --> 00:27:51,973 a man named John Green was our common ancestor. 640 00:27:51,973 --> 00:27:53,274 John. 641 00:27:53,274 --> 00:27:56,678 John Green was born about 1836 in Rockbridge, Virginia. 642 00:27:56,678 --> 00:27:59,614 Our genetic network number 2, the ancestral couple 643 00:27:59,614 --> 00:28:03,451 that I identified was James Miller and Nancy Barnett. 644 00:28:03,451 --> 00:28:04,986 We actually have a couple this time. 645 00:28:04,986 --> 00:28:07,088 They were born in the mid‐1800s. 646 00:28:07,088 --> 00:28:09,290 Genetic network number 3, 647 00:28:09,290 --> 00:28:12,460 ancestral couple is Henley McIntosh and Rachel Mays. 648 00:28:12,460 --> 00:28:14,395 Remember, we've got four, so I've got one more. 649 00:28:14,395 --> 00:28:17,465 Now, this is Wright Dillion and Elizabeth Dillion. 650 00:28:17,465 --> 00:28:20,301 Same surname, so probably cousins, 651 00:28:20,301 --> 00:28:23,104 but they are born in the early 1800s. 652 00:28:23,104 --> 00:28:26,241 Then that means our suspect has to descend 653 00:28:26,241 --> 00:28:28,509 from each of these four couples. 654 00:28:28,509 --> 00:28:30,111 Let me say that again. [ Doorbell rings ] 655 00:28:30,111 --> 00:28:31,246 [ Sighs ] 656 00:28:31,246 --> 00:28:33,314 So, at that point ‐‐ 657 00:28:33,314 --> 00:28:34,649 [ Doorbell rings ] 658 00:28:34,649 --> 00:28:35,717 [ Laughs ] 659 00:28:35,717 --> 00:28:36,784 This one's my fault. 660 00:28:36,784 --> 00:28:38,086 I was actually on a... 661 00:28:38,086 --> 00:28:40,355 I was on a roll there. [ Claps ] Okay. 662 00:28:40,355 --> 00:28:43,591 So, the next step now is flipping those trees upside down 663 00:28:43,591 --> 00:28:46,894 and now coming forward in time, trying to find our suspect. 664 00:28:46,894 --> 00:28:49,364 Any one of these couples or ancestors 665 00:28:49,364 --> 00:28:51,666 have many, many, many descendants. 666 00:28:51,666 --> 00:28:54,435 I had to follow all of those lines forward 667 00:28:54,435 --> 00:28:56,104 to find where these trees converge, 668 00:28:56,104 --> 00:28:59,607 and these were huge families ‐‐ 11 children. 669 00:28:59,607 --> 00:29:00,775 11 children. 670 00:29:00,775 --> 00:29:02,176 Oh, my God. 671 00:29:02,176 --> 00:29:03,478 [ Laughs ] 672 00:29:03,478 --> 00:29:05,280 That was a lot of work. 673 00:29:05,280 --> 00:29:08,116 I'm trying to find commonalities, patterns. 674 00:29:08,116 --> 00:29:10,418 Do I see a surname that I just saw in the other tree? 675 00:29:10,418 --> 00:29:12,954 We've got a Green and a Miller. 676 00:29:12,954 --> 00:29:15,390 Green and Miller are extremely common. 677 00:29:15,390 --> 00:29:18,092 I found lots of Greens and lots of Millers 678 00:29:18,092 --> 00:29:19,460 that were just coincidental. 679 00:29:19,460 --> 00:29:23,364 I don't know that I ever felt as determined on a case 680 00:29:23,364 --> 00:29:26,134 as I did on this one, but I just wasn't gonna give up. 681 00:29:29,637 --> 00:29:31,139 ♪♪ 682 00:29:31,139 --> 00:29:34,542 And then I found a marriage license in Ohio. 683 00:29:34,542 --> 00:29:37,145 It was between a Green and a Dillion. 684 00:29:37,145 --> 00:29:40,381 A descendant of genetic network number 1 685 00:29:40,381 --> 00:29:44,218 married a descendant of genetic network number 4. 686 00:29:44,218 --> 00:29:48,122 They were married in 1926 in Madison County, Ohio. 687 00:29:48,122 --> 00:29:50,658 It was a farming area at the time ‐‐ still is. 688 00:29:50,658 --> 00:29:52,327 Their marriage license shows 689 00:29:52,327 --> 00:29:55,330 that he was a truck driver and she was a domestic, 690 00:29:55,330 --> 00:29:58,132 which means she probably worked as a house maid. 691 00:29:58,132 --> 00:30:00,234 So, this is the first convergence, 692 00:30:00,234 --> 00:30:02,503 the first triangulation that I found. 693 00:30:02,503 --> 00:30:06,574 The suspect should be a descendant of this marriage. 694 00:30:06,574 --> 00:30:09,577 Then I also found the marriage bond 695 00:30:09,577 --> 00:30:12,680 from Breathitt County, Kentucky, in 1889. 696 00:30:12,680 --> 00:30:14,215 I'm not even sure if I said that right. 697 00:30:14,215 --> 00:30:16,017 How about Breathitt County, Kentucky? 698 00:30:16,017 --> 00:30:19,687 It showed me that a Miller was marrying a McIntosh, 699 00:30:19,687 --> 00:30:22,390 so I knew I was going in the right direction. 700 00:30:22,390 --> 00:30:24,058 John worked as a coal miner, 701 00:30:24,058 --> 00:30:26,194 and his wife, Jane, had six children, 702 00:30:26,194 --> 00:30:28,696 so I'm sure she was very busy. 703 00:30:28,696 --> 00:30:33,534 On John's death certificate, the cause of death was listed as 704 00:30:33,534 --> 00:30:37,972 "first got mashed up in the mines, then took the fever." 705 00:30:37,972 --> 00:30:40,575 He was only 59 years old. 706 00:30:40,575 --> 00:30:43,544 We've got genetic network number 1 and 4 on one side 707 00:30:43,544 --> 00:30:46,714 and genetic network number 2 and 3 on the other side. 708 00:30:46,714 --> 00:30:49,817 And somehow, we have to get this side 709 00:30:49,817 --> 00:30:53,287 and this side to converge. 710 00:30:53,287 --> 00:30:56,958 I just had to keep pushing and pushing and pushing ‐‐ 711 00:30:56,958 --> 00:31:00,294 many hours of what I termed "brute‐force genetic genealogy." 712 00:31:01,662 --> 00:31:03,731 It really was ‐‐ I felt like I'd been through a battle. 713 00:31:03,731 --> 00:31:10,004 Finally, I find a marriage between a Green and a Miller. 714 00:31:10,004 --> 00:31:12,006 This was huge. 715 00:31:12,006 --> 00:31:13,841 They're the ones that bring 716 00:31:13,841 --> 00:31:16,477 all these four genetic networks together. 717 00:31:16,477 --> 00:31:17,845 Where were they living? 718 00:31:17,845 --> 00:31:19,847 Both of them were born in Ohio, 719 00:31:19,847 --> 00:31:22,450 actually about 60 miles away from each other. 720 00:31:22,450 --> 00:31:25,553 But then, at some point, they each moved south, 721 00:31:25,553 --> 00:31:28,356 and in 1956, they were married in Florida. 722 00:31:28,356 --> 00:31:31,726 By 1961, they had three children. 723 00:31:31,726 --> 00:31:33,394 Guess what happened? 724 00:31:33,394 --> 00:31:36,297 They moved to Fort Wayne, Indiana. 725 00:31:38,966 --> 00:31:40,368 That family 726 00:31:40,368 --> 00:31:42,503 where all the pieces fit 727 00:31:42,503 --> 00:31:44,172 moved to the location 728 00:31:44,172 --> 00:31:45,940 of the crime. 729 00:31:45,940 --> 00:31:47,442 I found an obituary 730 00:31:47,442 --> 00:31:49,177 from the year 2015. 731 00:31:49,177 --> 00:31:50,545 They had three sons. 732 00:31:50,545 --> 00:31:53,815 All three are living at the time of the crime in 1988, 733 00:31:53,815 --> 00:31:56,384 but by 2004, one has passed away. 734 00:31:56,384 --> 00:31:58,920 Since the investigators had determined 735 00:31:58,920 --> 00:32:00,888 that the same person that committed the crime 736 00:32:00,888 --> 00:32:05,092 was the one who left the notes, one brother is ruled out. 737 00:32:05,092 --> 00:32:06,494 And so I knew that one of those two brothers 738 00:32:06,494 --> 00:32:07,422 had to be April's killer. 739 00:32:07,422 --> 00:32:09,192 But which one? 740 00:32:09,192 --> 00:32:10,552 ♪♪ 741 00:32:15,992 --> 00:32:17,699 [ Jazz music plays ] 742 00:32:17,699 --> 00:32:23,670 ♪♪ 743 00:32:23,670 --> 00:32:25,942 [ Pan sizzling ] 744 00:32:25,942 --> 00:32:27,095 Moore: It's such a strange feeling 745 00:32:27,095 --> 00:32:29,515 when I'm the only person in the world 746 00:32:29,515 --> 00:32:33,876 who knows the possible identity of the suspect, 747 00:32:33,876 --> 00:32:36,112 so I've got to get ahold of the detective 748 00:32:36,112 --> 00:32:37,547 as quickly as possible. 749 00:32:37,547 --> 00:32:41,918 Martin: CeCe Moore requested that we do a conference call. 750 00:32:41,918 --> 00:32:43,820 Moore: They didn't know what to expect. 751 00:32:43,820 --> 00:32:46,022 They were just waiting with bated breath. 752 00:32:46,022 --> 00:32:48,624 Martin: CeCe got on the phone and said, 753 00:32:48,624 --> 00:32:51,461 "I felt that we'd be able to get a great‐great grandparent, 754 00:32:51,461 --> 00:32:53,563 but I was not able to do that." 755 00:32:53,563 --> 00:32:56,065 Well, I told them there was good news and bad news. 756 00:32:56,065 --> 00:32:57,500 I teased them a little bit. 757 00:32:57,500 --> 00:32:59,535 Here we go on the roller coaster again. 758 00:32:59,535 --> 00:33:02,672 We're expecting great things only to have it dashed. 759 00:33:02,672 --> 00:33:04,540 But within a matter of moments, 760 00:33:04,540 --> 00:33:09,145 CeCe said, "I was able to get you, um, two brothers. 761 00:33:09,145 --> 00:33:10,480 One of the two brothers 762 00:33:10,480 --> 00:33:13,049 is the individual who killed April Tinsley." 763 00:33:13,049 --> 00:33:16,052 ♪♪ 764 00:33:16,052 --> 00:33:19,655 We all looked at each other in complete shock. 765 00:33:19,655 --> 00:33:21,457 It was one of those "oh [bleep]" moments. 766 00:33:21,457 --> 00:33:23,893 I couldn't believe it, that she can nail down ‐‐ 767 00:33:23,893 --> 00:33:25,661 How many people are in the world? 768 00:33:25,661 --> 00:33:28,831 [ Chuckles ] And she pins it down to two people? 769 00:33:28,831 --> 00:33:31,601 And not just that I had narrowed it down to these two brothers, 770 00:33:31,601 --> 00:33:32,969 but that they were both alive. 771 00:33:32,969 --> 00:33:35,238 Martin: We typed in our computer 772 00:33:35,238 --> 00:33:40,076 both of those gentlemen's names, and... 773 00:33:40,076 --> 00:33:43,780 very quickly, we focused on John D. Miller. 774 00:33:43,780 --> 00:33:45,782 ♪♪ 775 00:33:45,782 --> 00:33:47,049 Duffy: They find out 776 00:33:47,049 --> 00:33:51,320 that there are two incidences in 2002 and 2003 777 00:33:51,320 --> 00:33:55,091 when he was reported as exhibiting lewd behavior 778 00:33:55,091 --> 00:33:57,794 toward women and girls. 779 00:33:57,794 --> 00:33:59,929 We needed a DNA sample. 780 00:33:59,929 --> 00:34:01,864 ♪♪ 781 00:34:01,864 --> 00:34:06,536 John Miller worked at Walmart and lived in Grabill, Indiana, 782 00:34:06,536 --> 00:34:10,440 by himself in a small trailer. 783 00:34:10,440 --> 00:34:13,876 ♪♪ 784 00:34:13,876 --> 00:34:16,913 We were watching him for hours upon hours, 785 00:34:16,913 --> 00:34:18,881 waiting for a blind to move. 786 00:34:18,881 --> 00:34:23,286 John's trash can was placed out at the curb. 787 00:34:23,286 --> 00:34:27,690 Indiana law provides that we legally could take that trash 788 00:34:27,690 --> 00:34:29,859 as long as we had the probable cause to do so. 789 00:34:31,260 --> 00:34:33,663 We approached on foot. 790 00:34:33,663 --> 00:34:35,131 You're trying to be quiet. 791 00:34:35,131 --> 00:34:37,200 You're hoping that a porch light doesn't come on. 792 00:34:37,200 --> 00:34:38,734 [ Rustling, glass clinks softly ] 793 00:34:38,734 --> 00:34:42,705 We began to dig through John Miller's trash... 794 00:34:42,705 --> 00:34:49,345 and learned that John Miller ate Banquet Salisbury Steak dinners, 795 00:34:49,345 --> 00:34:51,747 he drank generic cola, 796 00:34:51,747 --> 00:34:55,251 and the very next piece of trash that was moved... 797 00:34:55,251 --> 00:34:59,856 was a used condom. 798 00:34:59,856 --> 00:35:01,924 They were looking for DNA evidence, 799 00:35:01,924 --> 00:35:05,361 and I would say that they hit the jackpot. 800 00:35:05,361 --> 00:35:07,196 ♪♪ 801 00:35:07,196 --> 00:35:10,833 And in no time at all, they had a match. 802 00:35:10,833 --> 00:35:12,802 [ Camera shutter clicks ] McDonald: Heart‐stopping? 803 00:35:12,802 --> 00:35:14,871 [ Laughs ] 804 00:35:14,871 --> 00:35:16,606 I‐I'm not very calm, 805 00:35:16,606 --> 00:35:20,276 so I'm sure I jumped all over this lab and told everybody. 806 00:35:20,276 --> 00:35:25,848 I yelled and said, "I cannot believe this is happening." 807 00:35:25,848 --> 00:35:27,550 She solved our case for us. 808 00:35:27,550 --> 00:35:29,685 We worked on it for 30 years and couldn't do it. 809 00:35:29,685 --> 00:35:35,825 Martin: On July 15th, we brought John up to an interview room. 810 00:35:43,833 --> 00:35:46,035 John, your middle initial? 811 00:35:47,403 --> 00:35:49,939 And last name is Miller ‐‐ M‐I‐L‐L‐E‐R? Yeah. 812 00:35:51,007 --> 00:35:52,308 And your date of birth? 813 00:35:52,308 --> 00:35:55,111 7/7/59. 814 00:35:55,111 --> 00:35:57,513 Meihls: John Miller is an average fella. 815 00:35:57,513 --> 00:35:59,582 You wonder how intelligent he is. 816 00:35:59,582 --> 00:36:01,851 John, we want to talk to you a little bit 817 00:36:01,851 --> 00:36:04,787 about a case that we've been working on for awhile, 818 00:36:04,787 --> 00:36:07,423 and somebody brought your name up into this, 819 00:36:07,423 --> 00:36:09,625 and we wanted to kind of talk to you 820 00:36:09,625 --> 00:36:13,195 and see what you had to say about that. 821 00:36:13,195 --> 00:36:16,566 Do you have any idea what we need to talk to you about? 822 00:36:22,939 --> 00:36:26,075 Yeah. Yeah, you're right. 823 00:36:26,075 --> 00:36:28,344 You want to talk about that with us a little bit here 824 00:36:28,344 --> 00:36:29,612 and kind of ‐‐ what ‐‐ 825 00:36:29,612 --> 00:36:30,717 First of all, what would make you say "the Tinsley case"? 826 00:36:36,425 --> 00:36:38,341 Martin: What would make you say the Tinsley case? 827 00:36:43,935 --> 00:36:45,901 That kind of rang a bell with ya a little bit, did it? 828 00:36:45,901 --> 00:36:47,172 [ Laughs ] Yeah. Okay. 829 00:36:47,172 --> 00:36:48,940 Well, what do you think 830 00:36:48,940 --> 00:36:52,077 we want to discuss with you about Tinsley? 831 00:36:52,077 --> 00:36:53,441 [ Chuckles nervously ] 832 00:36:53,441 --> 00:36:55,810 What evidence do you know that we have? 833 00:36:59,581 --> 00:37:00,582 Yeah. 834 00:37:00,582 --> 00:37:01,983 When we did that DNA, 835 00:37:01,983 --> 00:37:03,785 we were able to narrow it down to you. 836 00:37:03,785 --> 00:37:05,320 It came back. 837 00:37:05,320 --> 00:37:06,988 Can you talk to me a little bit 838 00:37:06,988 --> 00:37:08,790 about what happened back in '88? 839 00:37:13,161 --> 00:37:15,330 I said, "John, it's time to get this out. 840 00:37:15,330 --> 00:37:17,298 You had to have known this day was coming." 841 00:37:17,298 --> 00:37:21,870 How did you end up picking up April, John? 842 00:37:32,380 --> 00:37:34,315 He had a letter opener that was sharp. 843 00:37:34,315 --> 00:37:37,519 He said he approached April, told her to get in the car, 844 00:37:37,519 --> 00:37:40,989 showed her the letter opener, and she got in the car with him. 845 00:37:40,989 --> 00:37:42,557 Did she know you? 846 00:37:44,292 --> 00:37:46,427 Duffy: John Miller was the stranger. 847 00:37:46,427 --> 00:37:48,096 He had no connection to the family. 848 00:37:48,096 --> 00:37:49,964 He had no connection to the neighborhood. 849 00:37:49,964 --> 00:37:52,667 What'd she say to you when she was in the car, John? 850 00:37:57,105 --> 00:38:00,141 Martin: John never owned a blue pickup truck. 851 00:38:00,141 --> 00:38:04,646 He used a blue Mercury Lynx to abduct April Tinsley, 852 00:38:04,646 --> 00:38:08,683 which he drove directly back to his trailer. 853 00:38:08,683 --> 00:38:10,685 Duffy: He raped her. 854 00:38:10,685 --> 00:38:13,121 Meihls: He told us how she wanted to go home with her mom 855 00:38:13,121 --> 00:38:14,923 and then how he chokes the life out of her. 856 00:38:14,923 --> 00:38:20,161 Duffy: And then he took her and dumped her in the ditch. 857 00:38:20,161 --> 00:38:24,966 ♪♪ 858 00:38:24,966 --> 00:38:26,100 After she was at your trailer, 859 00:38:26,100 --> 00:38:27,435 you couldn't have just taken her someplace 860 00:38:27,435 --> 00:38:29,204 and let her go, John? 861 00:38:35,310 --> 00:38:37,345 But she didn't even know you. 862 00:38:37,345 --> 00:38:46,454 ♪♪ 863 00:38:46,454 --> 00:38:49,457 [ Handcuffs click ] Martin: John was arrested 864 00:38:49,457 --> 00:38:53,695 and taken to the Allen County jail. 865 00:38:53,695 --> 00:38:56,064 When I talked to the younger brother by three years 866 00:38:56,064 --> 00:38:58,566 of John Miller, 867 00:38:58,566 --> 00:39:02,303 he told me that his brother was always slow. 868 00:39:02,303 --> 00:39:05,273 So, John had been teased and bullied in school. 869 00:39:05,273 --> 00:39:07,141 He was angry all the time. 870 00:39:07,141 --> 00:39:10,645 He lived in a little trailer all by himself 871 00:39:10,645 --> 00:39:12,280 since he was 19 years old. 872 00:39:12,280 --> 00:39:15,483 He did not mix with the people that he worked with. 873 00:39:15,483 --> 00:39:19,554 But nobody suspected him. 874 00:39:19,554 --> 00:39:22,056 ♪♪ 875 00:39:22,056 --> 00:39:23,324 Snyder: To me, it was very important 876 00:39:23,324 --> 00:39:25,159 to be at all the court hearings. 877 00:39:25,159 --> 00:39:26,694 I felt like I had to see him. 878 00:39:26,694 --> 00:39:30,198 When he came in, oh, wow. 879 00:39:30,198 --> 00:39:31,833 "This is that guy. 880 00:39:31,833 --> 00:39:33,501 This is ‐‐ This is who done this. 881 00:39:33,501 --> 00:39:36,771 This is who ripped my family apart." 882 00:39:36,771 --> 00:39:38,072 ♪♪ 883 00:39:38,072 --> 00:39:41,309 Janet: I'm in the front row. 884 00:39:41,309 --> 00:39:43,711 I wanted him to see me. 885 00:39:43,711 --> 00:39:46,180 ♪♪ 886 00:39:46,180 --> 00:39:50,652 I wanted him to see what he destroyed. 887 00:39:50,652 --> 00:39:52,787 Snyder: And I kept staring at him. 888 00:39:52,787 --> 00:39:55,890 I wanted so bad to hurt him. 889 00:39:57,492 --> 00:39:59,527 Yeah, I feel like I have to... 890 00:40:03,665 --> 00:40:05,700 [ Sniffles ] 891 00:40:10,772 --> 00:40:14,475 [ Sniffles ] I felt like because she's not here 892 00:40:14,475 --> 00:40:17,812 and I am, 893 00:40:17,812 --> 00:40:19,614 I need to stand up for her. 894 00:40:19,614 --> 00:40:23,885 ♪♪ 895 00:40:23,885 --> 00:40:26,120 Jackson: He didn't show remorse. 896 00:40:26,120 --> 00:40:27,855 He didn't say he was sorry. 897 00:40:27,855 --> 00:40:31,159 The only good thing about it is he's behind bars now 898 00:40:31,159 --> 00:40:34,228 and he'll be there the rest of his life. 899 00:40:34,228 --> 00:40:39,567 My main closure will probably be the day that he dies. 900 00:40:39,567 --> 00:40:44,005 But my peace is usually when I go over to her garden 901 00:40:44,005 --> 00:40:45,974 and I sit there for a couple hours. 902 00:40:45,974 --> 00:40:48,343 ♪♪ 903 00:40:48,343 --> 00:40:51,913 Moore: My work has always been about providing answers 904 00:40:51,913 --> 00:40:53,648 and trying to help a family move beyond something, 905 00:40:53,648 --> 00:40:55,283 something that's painful 906 00:40:55,283 --> 00:40:56,551 or something that's been burdening them. 907 00:40:56,551 --> 00:40:59,020 ♪♪ 908 00:40:59,020 --> 00:41:02,824 Together: 1, 2, 3. 909 00:41:02,824 --> 00:41:06,861 I certainly never imagined in my wildest dreams 910 00:41:06,861 --> 00:41:13,101 that my genealogy hobby would lead to working as a detective. 911 00:41:13,101 --> 00:41:16,671 Parabon and CeCe Moore were the break that we needed 912 00:41:16,671 --> 00:41:19,841 to bring this case to an end. 913 00:41:19,841 --> 00:41:22,710 Jackson: CeCe Moore, just an ordinary citizen 914 00:41:22,710 --> 00:41:25,046 that's not connected with law enforcement, 915 00:41:25,046 --> 00:41:26,414 and I'm just flabbergasted. 916 00:41:26,414 --> 00:41:27,949 And I tell you real truthfully, 917 00:41:27,949 --> 00:41:30,084 if I was a criminal and it's a cold case, 918 00:41:30,084 --> 00:41:32,553 I'd be seriously thinking about turning myself in 919 00:41:32,553 --> 00:41:33,921 or leaving the country. 920 00:41:33,921 --> 00:41:39,394 ♪♪ 921 00:41:39,394 --> 00:41:44,899 ♪♪ 69676

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.