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♪♪
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Moore: When I first started
as a genealogist,
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I never could've imagined
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it would lead me
to a place like this.
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In April 1988,
this was a crime scene,
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part of a truly horrific murder
that went unsolved for decades.
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Though the kinds of questions
that I answer have changed,
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my work has always been
about family,
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and I wanted to bring answers
to the family of April Tinsley.
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They'd waited long enough.
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I'm CeCe Moore.
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For years,
genealogy was my hobby,
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and then it became my career.
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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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‐‐ Captions by VITAC ‐‐
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Man: CeCe sit‐down,
scene 1, take 1.
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Marker.
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[ Clack ]
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I made my living
as an actress/singer/host
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until I was 35.
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[ Laughter ]
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May I get you a drink,
sir?
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The types of parts
that I was often getting
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were not very fulfilling.
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[ Laughs ]
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[ Camera shutter clicks ]
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I did some great roles, too...
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[ Singing indistinctly ]
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...but I was very torn between
academics and performing,
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and there was definitely
part of me
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who felt like
I hadn't been using my brain.
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Okay. Stolen evidence.
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And so, when the crime
happened in April 1988,
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I was not yet doing genealogy.
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30 years.
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It was the highest‐profile
cold case in Indiana history.
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Reporter: The first grader
at Fairfield Elementary School
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was reported missing Friday.
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Police spent four days
looking for the young girl
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in a 20‐square‐block area
in South Central Fort Wayne.
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A jogger happened onto
the young girl's body
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late this afternoon in a ditch
along this state highway.
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Authorities won't say much
about the condition of the body,
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only that it had probably
been dumped there
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sometime over the weekend.
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Meihls:
April Tinsley was found
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about 18 miles north
of Fort Wayne.
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[ Camera shutter clicking ]
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She was fully clothed
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except for her pants
were on backwards
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and a missing shoe
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that they found on
the opposite side of the road.
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April had been raped
and suffocated
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and possibly strangled.
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[ Camera shutter clicks ]
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Jackson:
I was assigned to homicide
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approximately seven years,
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but I didn't have any homicides
involving little children.
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It leaves an indentation
that you can never get rid of.
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[ Camera shutter clicks ]
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Moore:
For the family to find out
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that she was just
kind of thrown away,
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it's a horrible thing.
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Reporter: A couple of hours
after the body was discovered,
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police arrived at the home
of April Marie's parents
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to deliver the bad news.
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♪♪
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Janet:
When I was 16 years old,
I told everybody, I said,
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when I got married,
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my first child was gonna be
a little girl.
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"She's gonna have
blond, curly hair,
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and she's gonna have
blue eyes."
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Her name was gonna be
April Marie.
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Snyder:
April Tinsley is my cousin.
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She was my best friend.
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She always had a smile
on her face,
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always a smile,
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and she always wanted
to make you laugh.
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Moore:
April's mother, Janet ‐‐
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this has taken
a huge toll on her.
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I don't know how a parent
even goes on
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after something like this.
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♪♪
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By 1988,
we had heard about the DNA.
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We didn't understand
how it worked or what it was,
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but that very week,
we took a workshop,
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and it couldn't have happened
at a better time,
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because they had performed
a sexual‐assault kit,
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a rape kit, on April,
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and they found some semen.
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If the evidence
wasn't collected correctly
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and then if it wasn't
stored well
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for all of these decades,
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it would be impossible to apply
genetic genealogy to it,
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and that's certainly true
in this case.
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And all that evidence
was sent to an outside lab.
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At that time,
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our department
didn't have facilities
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to check any of the DNA.
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McDonald: The rudimentary
procedure of the time
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demanded that you have
a large sample.
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So in 1988,
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they were unable to obtain
a DNA profile from the suspect.
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Moore:
The technology didn't exist,
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but there was a lot of terrific
work done by the investigators
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from Day 1.
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Wow! Look at that.
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They thought they had a break.
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♪♪
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Reporter: This is the face
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Fort Wayne police
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are trying to track down.
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The information
for the composite
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came from two witnesses
who saw Tinsley
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as she was walking through
the South Central neighborhood
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and was forced
into a dark‐blue pickup truck.
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[ Siren wails,
police radio chatter ]
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Jackson: We ran every blue truck
in Allen County,
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and there were just
thousands of them.
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But nothing shown up.
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[ Police radio chatter ]
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Duffy:
Over the next couple of years,
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they followed every lead,
the police.
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Anybody that had
any kind of sex crime,
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they were checked out.
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[ Siren wails ]
Nothing was thrown aside.
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It was just
completely frustrating
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when we couldn't come up
with a prime suspect.
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♪♪
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[ Microfilm machine clicking ]
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Moore:
What made this case, I think,
even more high‐profile
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was because the perpetrator
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had started taunting
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the law enforcement
and the public.
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Jackson: May of 1990,
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two years after
April was killed,
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there was a message written
on a side of a barn.
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Duffy: "I kill 8 yea olb
April Marie Tisley.
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Did you find her other shoe?
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Ha ha!
I will kill again."
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The police had never reported
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that the other shoe
was found near April's body.
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Jackson:
We knew that it was the killer
of April Marie Tinsley.
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Everybody went out.
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They canvassed
that complete area.
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Duffy:
He's taunting the police.
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He's taunting the community.
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Snyder:
Everybody was scared.
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I had dreams about her
being inside the barn
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and some shadowy figure
being in there with her.
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Every time you go outside,
you're thinking...
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"Are you him?"
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♪♪
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Then, as a couple years went by
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and then
a couple more years went by,
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you get the feeling like
it's not gonna be solved,
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and you start losing hope.
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I prayed every night,
because we couldn't catch him.
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We couldn't even come close
to catching him.
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It would take a miracle
for him to get caught.
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♪♪
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♪♪
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Moore:
When I got the Tinsley case,
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it was May 2018.
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I was working with this company
named Parabon.
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We were using crime‐scene DNA
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to create
this genetic‐genealogy unit
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and offering those services
to law enforcement,
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and I was
the genetic genealogist.
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Moore:
How were the call rates
on these?
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Most of them, we were able
to get good call rates,
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about 90%.
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Most of the time,
I'm working from home,
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which is usually very far
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from where the crime
even happened.
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♪♪
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And I still have my family
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and my life
that I have to deal with.
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We should ‐‐ We should put
the treadmill in the garage.
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I understand why
it could be hard to believe
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that I'm sitting on my couch
at home,
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trying to help
crack cold cases,
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but I really care
about what happened,
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and I knew I had to help
find the answer in this case.
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♪♪
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Man: CeCe sit‐down,
scene 1, take 2. Marker.
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[ Clack ]
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Woman: So how did you go
from acting/modeling/hosting...
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Yeah.
...to helping the police
catch killers?
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So, around the year 2000,
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my oldest niece
was getting married,
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and I was trying to think of
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what would be
a good wedding present.
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And I thought, "I know ‐‐
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I'll put together
a family tree."
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Well, she never got
that family tree
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[Chuckling] because
I've never finished it.
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I got the bug,
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00:09:05,671 --> 00:09:09,375
and I realized then
that's what I loved to do.
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I was just doing traditional
paper‐trail research,
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00:09:12,812 --> 00:09:16,082
and it had nothing to do
with DNA at that point,
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00:09:16,082 --> 00:09:18,518
but at the very end of 2009,
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a company called 23andMe
introduced Relative Finder.
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00:09:22,622 --> 00:09:26,259
You could compare
your autosomal DNA
to other people,
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00:09:26,259 --> 00:09:28,094
and if you share DNA,
you're cousins.
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And I realized then that
that changed everything.
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♪♪
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Genetic genealogy is so powerful
for building family trees.
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This was what I wanted to do.
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I just jumped in
with both feet.
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♪♪
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Poor Lennart
had to completely take over
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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?
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He's my husband.
[ Laughs ]
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And Nicky is my son.
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00:10:02,895 --> 00:10:05,598
I was helping people
all day long,
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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.
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00:10:14,974 --> 00:10:17,877
The most brilliant genetic
genealogist in the world.
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00:10:17,877 --> 00:10:19,579
Give it up for CeCe Moore.
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00:10:19,579 --> 00:10:20,913
[ Cheers and applause ]
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Moore:
It was this wide‐open field.
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There were no experts.
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So it didn't matter
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00:10:25,318 --> 00:10:26,919
that I didn't have
a science degree.
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00:10:26,919 --> 00:10:30,890
Dr. Henry Louis Gates Jr.
offered me a job
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00:10:30,890 --> 00:10:33,092
with PBS' "Finding Your Roots."
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00:10:33,092 --> 00:10:35,127
And now, more recently,
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00:10:35,127 --> 00:10:38,598
I've become a consultant
and contributor for ABC News.
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Genealogy traditionally is
to identify distant ancestors,
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but then adoptees started
coming to me saying,
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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
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00:10:50,710 --> 00:10:52,712
that you've been developing
to help us?"
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00:10:52,712 --> 00:10:54,514
find their recent ancestors,
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00:10:54,514 --> 00:10:56,816
meaning their
biological parents.
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It was such
an interesting question.
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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.
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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.
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00:11:13,699 --> 00:11:15,034
And here's how it works.
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If you share DNA with someone,
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it means you have to share
a common ancestor.
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00:11:19,639 --> 00:11:22,108
As you go back
in your family tree
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00:11:22,108 --> 00:11:23,609
each generation,
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00:11:23,609 --> 00:11:25,878
the amount of DNA
that you inherit
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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
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