Episode Transcript
Transcripts are displayed as originally observed. Some content, including advertisements may have changed.
Use Ctrl + F to search
0:00
Sergeant and mister Smith,
0:02
you're gonna love this house.
0:04
bunk beds in a closet.
0:06
There's no field manual for finding the right
0:08
home. But when you do, USAA homeowners
0:11
insurance can help protect it the right way.
0:13
Restrictions apply. Hi.
0:15
I'm Josh Monkowitz from Dateline with a special
0:17
preview of our new podcast asked internal
0:20
affairs. It's a story about bad
0:22
choices and fatal consequences.
0:25
Take alyssa. It
0:27
was dark when the killer shut off
0:29
the engine. Only
0:31
the soft ticks of cooling metal
0:33
broke the silence. it
0:35
was still warm and toasty inside the truck.
0:38
Outside, where mounds of
0:40
snow lined the alley. Tempts
0:43
were in the teens. A
0:45
quick wardrobe check, and the killer
0:48
would be ready. Black robe,
0:50
black gloves, black gun.
0:53
One can imagine a short, steadying
0:55
breath before the killer pulled
0:57
on the Halloween mask. It
0:59
was a grim reaper number. Black
1:02
mesh allowed the wearer to see
1:04
out, but no one to see in.
1:07
It
1:07
came with a black peaked hood attached,
1:10
All
1:10
of it cost a couple of bucks at Walmart.
1:14
Up to this instant, it would have been
1:16
easy to drive away, easy
1:18
to do nothing, to melt
1:20
into the city and become
1:23
one of the faceless. Oh,
1:25
but now, No. Now
1:27
the killer was committed.
1:29
Pressure had been building like steam in
1:31
a boiling teapot for weeks.
1:34
No months really. The killer
1:37
knew the target's routine, knew
1:39
the woman would be locking up and stepping
1:41
into the parking lot any minute now
1:45
The thing had to be done, and
1:47
it had to be done right now.
1:51
the grim reaper open the truck door
1:54
and walk briskly to the kill
1:56
zone. a
1:59
good set
1:59
of emergency? Twenty 505 eleventh
2:02
Avenue. Twenty sixth Street in Colorado Avenue?
2:04
Yeah. There we go. Somebody's been
2:06
shy Yeah. Well, no. She's on the ground
2:09
right now. This well, somebody walked out of me,
2:11
ruined my wife in the mouth and just
2:13
shot her in the room. Didn't
2:15
see him?
2:17
didn't
2:17
see their face, didn't see their
2:19
hands. You don't have often that someone
2:21
puts on a grim reaper mask and comes down
2:23
the alley and picks somebody out. everywhere.
2:27
Yeah. And you're sure she's not bringing it all.
2:30
Is she bringing it? What was it
2:32
that caused the killer to get out of the truck
2:35
that night to confront a
2:37
woman who was walking with co workers to
2:39
her car and then pulled a
2:41
trigger. Was it money?
2:44
Was it love? Was
2:46
it pride? When people have
2:48
had affairs and mistakes and stuff like that? I'll
2:51
pay a heavy, heavy, heavy price.
2:54
Here we put you so.
2:57
This is a story of men and women. who
2:59
considered themselves to be good and decent.
3:02
They were people who pursued truth at
3:04
work, while
3:06
living lies at home. I
3:09
think there are many villains in this.
3:11
I
3:11
think everybody that turned a blind eye
3:13
is a villain. You'll
3:15
hear plenty about villains in our story.
3:18
But really, this could be a story about
3:20
anyone,
3:21
anyone who ignores their better angels
3:23
and their better instincts and becomes
3:25
caught in the tentacles of circumstance.
3:29
I mean,
3:29
when you're deceptive, when you betray
3:31
a trust, sometimes there's a consequence
3:34
and sometimes the consequences one you can't even
3:36
predict.
3:38
Thanks for listening. Search for
3:41
internal affairs to hear more. and
3:43
subscribe to Dateline Premium on Apple
3:45
Podcasts to access new episodes
3:48
one week early.
3:50
Sergeant and mister Smith,
3:53
you're gonna love this house.
3:55
bunk beds in a closet.
3:57
There's no field manual for finding the
3:59
right home. But when
3:59
you do, USAA homeowners insurance
4:02
can help protect it the right way. Restrictions
4:04
apply.
Podchaser is the ultimate destination for podcast data, search, and discovery. Learn More