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‐‐ Captions by VITAC ‐‐
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Moore: This town looks
like the kind of place
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00:00:06,006 --> 00:00:09,276
where you wouldn't have
to lock your doors.
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But there was
a sexual predator here
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00:00:11,445 --> 00:00:17,351
who took away that
sense of security.
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All of my work
with law enforcement until now
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00:00:20,320 --> 00:00:25,926
has been working on murders,
usually from long ago.
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But this case was different.
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This was a serial rapist
with living victims.
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I'm CeCe Moore.
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For years,
genealogy was my hobby,
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00:00:39,306 --> 00:00:42,876
and then it became my career.
Soon, I realized
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that the techniques I developed
to reunite families
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could also be used
to identify killers.
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Now my team and I
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help the police hunt
violent criminals.
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I'm a new kind of detective.
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♪
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I decided to start
using my skills
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to help law enforcement
identify violent criminals
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in May 2018,
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and this case was actually
one of the very first ones
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that I was involved in.
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There was a series of rapes
and sexual assaults
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that happened between March 2006
and January 2008,
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and that perpetrator
became known
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as the Ramsey Street Rapist.
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Reporter:
The Ramsey Street Rapist.
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A string of assaults known
as the Ramsey Street rapes.
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Six women attacked
in Fayetteville.
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Woolverton: He was
coming into people's homes
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or attacking them as they were
going about their business.
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You feel like you can't be safe
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just going about
your everyday life.
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That's really
what terrifies people.
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Berg: What we believe to be one
of the first attacks
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happened in August of 2006.
We called her "The Runner."
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It was about 4:00 or 5:00
in the morning.
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Left her house like normal,
running down Ramsey Street.
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The suspect ran at her,
grabbed her.
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She described it as being hit
like a Mack truck.
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He tackled her and raped her
on the side of the road
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in the bushes,
for about 45 minutes.
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The next reported attack
was six months later.
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Berg: Female, home alone.
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Suspect entered the residence
and sexually assaulted her.
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Woolverton: In March of 2007,
there's another assault
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in an apartment,
where somebody was sleeping.
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In this case,
it was a 15‐year‐old.
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What really stood out about
the Ramsey Street Rapist
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was the brazenness
of his attacks.
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In September of 2007,
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officers responded to
another apartment complex
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on the north end
of Ramsey Street.
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Woolverton: She was
a college student, 21 years old.
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He came in through
a sliding glass door.
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Moore: Years later,
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00:02:46,767 --> 00:02:50,370
this victim posted an online
video describing her ordeal
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to try and help the police
find her attacker.
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Haschen:
I had one roommate at the time,
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but she had a friend
staying that night,
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00:02:56,943 --> 00:03:00,380
and he said
that if I made any noise
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or tried to get
anybody's attention
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that the other two would get it.
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00:03:04,017 --> 00:03:07,754
So, basically, I went
into protective mode
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just to keep him away
from those two.
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00:03:13,794 --> 00:03:17,664
The last attack
was January 26, 2008.
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In all, there were six attacks.
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Moore: And all of these
in such close proximity
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that everybody's awareness
was heightened.
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Berg: And that's what
we knew at the time,
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that we had a serial rapist
up on Ramsey Street.
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♪
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I mean, of course,
we were like,
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"We'll find this guy.
What does he look like?"
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00:03:42,823 --> 00:03:45,292
But we couldn't even
get a sketch of him.
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Stranger rape makes it
really, really difficult,
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especially when the victims
can't give you
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any more than a general
description of a suspect.
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Woolverton:
Early 20s to early 30s.
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Berg: White or Hispanic male.
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Woolverton:
Between 5 foot, 8 inches tall
and 6 foot, 3 inches.
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00:03:59,706 --> 00:04:02,843
Smelly, oily.
Possibly a mechanic.
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00:04:02,843 --> 00:04:07,280
Close cut or shaven dark hair
and average to medium build.
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00:04:07,280 --> 00:04:09,282
That could be half the city.
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00:04:09,282 --> 00:04:11,952
Honestly, at that time,
everybody became a suspect.
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00:04:11,952 --> 00:04:13,220
The only thing they had
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00:04:13,220 --> 00:04:17,257
that really could help them
find this guy was DNA.
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00:04:17,257 --> 00:04:20,560
All you have is the victim.
Your victim is your crime scene.
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00:04:20,560 --> 00:04:24,097
No victim, no crime.
You got to do everything ‐‐
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everything in your power
to support the victim.
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Woolverton: Taking the rape kit
is a hugely invasive thing
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that comes right after
a hugely invasive event.
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You know,
somebody had been fighting
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and begging for their lives
for 45 minutes,
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00:04:37,511 --> 00:04:41,348
and getting the victim
to consent
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to go through the process
can be very difficult.
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00:04:44,017 --> 00:04:47,053
You're trying to protect
your crime scene,
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00:04:47,053 --> 00:04:49,122
but you also have
to protect them.
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Moore: Thankfully, all six
victims reported their attacks
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and consented to a rape kit.
The rape kit's critical
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because the rape kit
is gonna find semen,
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00:04:59,900 --> 00:05:02,435
maybe some skin cells
from the suspect
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00:05:02,435 --> 00:05:05,739
that will have DNA in them that
can make or break the case.
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00:05:05,739 --> 00:05:08,175
Berg: We had the DNA.
We put it into CODIS,
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00:05:08,175 --> 00:05:10,177
or into the national
criminal database,
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00:05:10,177 --> 00:05:15,015
so it can be compared to
everybody else that's in CODIS.
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00:05:15,015 --> 00:05:17,651
Moore:
What's interesting about this
case is they did get a match,
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00:05:17,651 --> 00:05:19,786
but it was to a crime
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00:05:19,786 --> 00:05:24,424
where there was
another unknown perpetrator.
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00:05:24,424 --> 00:05:26,793
Woolverton: They had a match
to a Peeping Tom case
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00:05:26,793 --> 00:05:29,362
from Harnett County from 2004.
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00:05:29,362 --> 00:05:31,798
Evidence was found on the scene
that had DNA in it,
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00:05:31,798 --> 00:05:33,834
and they were able to connect
the cases together.
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00:05:33,834 --> 00:05:35,702
So, there's
that initial elation of
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"We've got a match.
We found him," but then, "Oh, no.
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00:05:39,039 --> 00:05:42,075
This is another case where
we don't know who did it."
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00:05:42,075 --> 00:05:46,413
Berg:
We know that a lot of offenders
start peeping or exposing.
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00:05:46,413 --> 00:05:48,849
It becomes not enough to
look in somebody's room.
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00:05:48,849 --> 00:05:50,350
Now I have to go in the room.
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00:05:50,350 --> 00:05:52,152
Moore:
And so that just told them
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he potentially started
as a peeping Tom
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and then escalated to rape.
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♪
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Woolverton: The police did a
press conference in early 2008
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00:06:07,968 --> 00:06:10,537
to bring attention
to the matter.
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00:06:10,537 --> 00:06:12,806
Berg: You can only canvass
so many times,
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00:06:12,806 --> 00:06:14,241
look for cameras so many times.
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00:06:14,241 --> 00:06:15,876
Well, now we need
the public's help.
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00:06:15,876 --> 00:06:17,410
Woolverton: We interviewed
people, and they recall
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00:06:17,410 --> 00:06:19,145
being very scared back then.
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00:06:19,145 --> 00:06:22,115
Berg: We were putting officers
in decoy situations
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to see if they could
lure out an offender.
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00:06:24,885 --> 00:06:25,986
When people are scared,
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they take measures
to protect themselves.
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00:06:27,520 --> 00:06:30,357
Berg: We had somebody walking
the same route as "The Runner."
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00:06:30,357 --> 00:06:33,126
We went to every peeping call,
every stranger call.
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00:06:33,126 --> 00:06:34,895
Woolverton:
There was a self‐defense class,
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and it was packed ‐‐
there were 80 people there.
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00:06:36,997 --> 00:06:38,531
Berg:
They started a task force.
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00:06:38,531 --> 00:06:40,734
They brought in the FBI,
behavioral analysis.
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00:06:40,734 --> 00:06:42,168
Woolverton:
The Sheriff's office reported
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00:06:42,168 --> 00:06:45,338
a significant increase
in gun permits.
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00:06:45,338 --> 00:06:48,008
I imagine everyone
was holding their breath
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00:06:48,008 --> 00:06:50,877
just fearing the next one.
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And then, just out of the blue,
they stopped.
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♪
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Berg: Fayetteville is just
like any average city,
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but it's a military town,
so it's very transient.
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Woolverton:
We've got Fort Bragg.
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00:07:06,459 --> 00:07:08,695
We have approximately
10% of the Army here.
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00:07:08,695 --> 00:07:11,531
We get soldiers deployed
overseas all the time,
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so they wondered if
their suspect from these cases
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had left town.
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Berg: We were just waiting
on a match of that DNA.
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We really didn't have
a whole lot else to go on.
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♪
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Woolverton: In 2014, I did
a profile of Kellie Berg
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for The Fayetteville Observer,
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and it was six years
since the last attack.
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She could tell all these details
of every one of these cases.
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I remember every single victim,
and I would call them.
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About every six months,
I would call everybody.
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00:07:39,993 --> 00:07:41,328
"Is there anything new?"
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"I don't have anything new,
but we're still swabbing people,
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we're still following up
on leads."
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00:07:45,865 --> 00:07:47,534
If I had to swab
all of Fayetteville,
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I was gonna swab
all of Fayetteville.
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These cases just
touched me in a way
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that none of the other ones did.
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I could never put
those cases down.
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They were officially
inactivated,
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but I'd always felt like
I was working on them,
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00:08:00,780 --> 00:08:02,248
and, you know, if nothing else,
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00:08:02,248 --> 00:08:05,552
they were staring at me
across from over my desk.
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00:08:05,552 --> 00:08:09,322
Big, thick binders.
They were always there.
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Woolverton: Years pass.
They had DNA, but no name.
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They needed something that
could produce the name.
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♪
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Moore:
When I start working a case like
this, it's impossible for me
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00:08:28,174 --> 00:08:31,811
not to harken back
to that time in my life
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and what I was doing.
I was a new mom.
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I had Nicky in 2005,
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and these crimes started
in 2006.
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And so it is kind of an odd
thing to work on these cases
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00:08:46,326 --> 00:08:48,028
that happened at a time
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where I was not
as aware of violent crime.
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Fast‐forward to 2018.
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All right.
I love you.
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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.
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00:09:04,544 --> 00:09:07,781
But what's really interesting
is, this was my first case
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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
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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 andgrabbed me by the throat
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00:09:20,193 --> 00:09:25,131
at the same time.I never saw his face.
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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 lotof 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,
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00:09:39,379 --> 00:09:44,851
the effect it's had on her.
It really cements my resolve
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00:09:44,851 --> 00:09:49,589
to use my skills to help
law enforcement find answers.
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00:09:49,589 --> 00:09:54,494
If we can even save one person,
then I'm all‐in.
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00:09:54,494 --> 00:09:56,863
♪
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00:09:57,730 --> 00:10:04,504
♪
208
00:10:04,504 --> 00:10:11,511
♪
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00:10:11,511 --> 00:10:18,551
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[ 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 forcrime‐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 usingGain Ultra flings...
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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 dogMichelangelo did too.
422
00:20:28,661 --> 00:20:32,698
Unfortunately for him, it’s moreof a forbidden love.
423
00:20:32,698 --> 00:20:36,168
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428
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429
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(VO)
Love.
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It’s what we’ve always said
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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.
Everybody back to one.
632
00:31:06,565 --> 00:31:08,233
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633
00:31:08,233 --> 00:31:10,402
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634
00:31:10,402 --> 00:31:12,337
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635
00:31:12,337 --> 00:31:13,939
I don’t have to worry about
that, do I?
636
00:31:13,939 --> 00:31:16,041
Harmful bacteria lurk just below
the gum line.
637
00:31:16,041 --> 00:31:18,377
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638
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639
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640
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641
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642
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643
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644
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646
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648
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649
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650
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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
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794
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795
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797
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799
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800
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805
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♪
806
00:43:09,020 --> 00:43:11,456
(VO)
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807
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romance, delicious fruit,
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808
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809
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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.'
Hit it, Charlie.
903
00:50:21,619 --> 00:50:23,387
Tristan, this one's for you.
904
00:50:23,387 --> 00:50:24,889
♪Oh, you're five,
five.
905
00:50:24,889 --> 00:50:27,358
Five‐dollar, five dollar
Five‐dollar footlong.
906
00:50:27,358 --> 00:50:29,960
It's freshly made
with veggies.
907
00:50:29,960 --> 00:50:31,295
It's back, it's back.
908
00:50:31,295 --> 00:50:33,097
And yes, that's,
and yes that's
909
00:50:33,097 --> 00:50:34,565
why I wrote this song.
910
00:50:34,565 --> 00:50:39,503
The good old days are back now
Tristan.♪ We heard you.
911
00:50:39,503 --> 00:50:41,505
Five‐dollar footlongs are backwhen you buy two.
912
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934
00:52:02,920 --> 00:52:08,492
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935
00:52:08,492 --> 00:52:12,096
The irresistible
one‐of‐a‐kind Butterfinger.
936
00:52:12,096 --> 00:52:15,232
Nobody lays a finger
on my Butterfinger.
937
00:52:15,232 --> 00:52:16,066
The irresistible
one‐of‐a‐kind Butterfinger.
938
00:52:16,066 --> 00:52:17,001
A lotta folks are
asking me lately
939
00:52:17,001 --> 00:52:18,435
how to get their dishes
as clean as possible.
940
00:52:18,435 --> 00:52:19,770
I tell them, you should try
941
00:52:19,770 --> 00:52:22,940
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942
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943
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food soils some detergents
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944
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washing away even the
smallest food residue,
945
00:52:30,280 --> 00:52:33,484
so it doesn’t redeposit
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And Oxi is Cascade’s
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947
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948
00:52:37,821 --> 00:52:40,524
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you can see and feel.
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00:52:40,524 --> 00:52:42,493
Cascade + the power of Oxi.
950
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951
00:53:17,961 --> 00:53:20,831
Moore: I was on pins and needles
because you never know
952
00:53:20,831 --> 00:53:23,734
with someone that is capable
of this type of crime
953
00:53:23,734 --> 00:53:27,404
what they might do
when confronted.
954
00:53:27,404 --> 00:53:29,640
Somerindyke: Because he lived
outside of our jurisdiction,
955
00:53:29,640 --> 00:53:31,909
we did enlist the help of the
United States Marshals Service
956
00:53:31,909 --> 00:53:34,745
and our Violent Criminal
Apprehension team.
957
00:53:34,745 --> 00:53:38,882
They really put a lot of effort
into making sure he didn't flee.
958
00:53:38,882 --> 00:53:40,317
[ Camera shutter clicking ]
959
00:53:40,317 --> 00:53:42,252
One of the US Marshals
took that photo
960
00:53:42,252 --> 00:53:44,254
literally seconds after
he was handcuffed,
961
00:53:44,254 --> 00:53:48,225
so that's a true, on‐scene,
right‐after‐it‐happened picture.
962
00:53:48,225 --> 00:53:51,962
♪
963
00:53:51,962 --> 00:53:54,264
Woolverton:
On August 22nd of 2018,
964
00:53:54,264 --> 00:53:55,733
the Fayetteville
Police Department
965
00:53:55,733 --> 00:53:59,837
arrested Darold Wayne Bowden
as the Ramsey Street Rapist.
966
00:53:59,837 --> 00:54:02,272
[ Camera shutter clicking ]
967
00:54:02,272 --> 00:54:04,074
[ Telephone dialing ]
968
00:54:04,074 --> 00:54:08,445
Berg: Lieutenant Somerindyke
called me and said, "We got him."
969
00:54:08,445 --> 00:54:11,014
It was just like a sucker punch.
970
00:54:11,014 --> 00:54:14,585
It was like, you're elated,
and then you're shocked,
971
00:54:14,585 --> 00:54:17,621
and it's just everything
all at once.
972
00:54:17,621 --> 00:54:22,392
Yeah, it was pretty exciting.
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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