Latest / Crime Stories with Nancy Grace / SAVANNAH GUTHRIE MOM MISSING: DAY 28

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SAVANNAH GUTHRIE MOM MISSING: DAY 28 · Crime Stories with Nancy Grace

0:00
Speaker 1: Crime Stories with Nancy Grace, Savannah Guthrie's mother, Nancy Guthrie missing.
0:10
Speaker 1: New video surfaces of cars flying past in Nancy's neighborhood
0:17
Speaker 1: in the critical hours between twelve am and six am,
0:21
Speaker 1: significantly one vehicle speeding by just eight minutes after Nancy's
0:29
Speaker 1: pacemaker disconnects from bluetooth, flying like a bat out of
0:35
Speaker 1: h E double l fly and online sleuths identify a star,
0:42
Speaker 1: a small star black or blue in color on the
0:47
Speaker 1: porch guy's jacket.
0:51
Speaker 2: Is it real?
0:52
Speaker 1: And if so, can it be used to track down
0:56
Speaker 1: the kidnapper? And in another development AI artificial intelligence, was
1:01
Speaker 1: it used to write two of the ransom notes? And
1:04
Speaker 1: if so, there's a way to track it? I mean,
1:08
Speaker 1: sy Grace, this is Crime Stories. I want to thank
1:11
Speaker 1: you for being with us. Dave Matt what is the
1:23
Speaker 1: latest in the search?
1:24
Speaker 3: Savannah Guthrie took to Instagram and posted a clip from
1:28
Speaker 3: The Today Show in a segment about her mom and writes,
1:32
Speaker 3: please be the one that brings her home, and she
1:35
Speaker 3: also added, you know tips can be anonymous and the
1:39
Speaker 3: reward can be paid in cash. I don't think that's
1:42
Speaker 3: been said before, but we all know that tips can
1:45
Speaker 3: be anonymous if you want, but the reward can be
1:49
Speaker 3: paid in cash. She coupled that with releasing a shortened
1:53
Speaker 3: version of what Should the Family released the other day,
1:56
Speaker 3: but Savannah Guthrie reminding everyone that tips are anonymous and
2:01
Speaker 3: the reward can be paid in cash.
2:03
Speaker 1: New video surfaces of cars flying past in Nancy's neighborhood.
2:11
Speaker 1: That video found on a neighbor's cam, the door cam,
2:16
Speaker 1: the surveillance video at the edge of their yard, also
2:20
Speaker 1: catching twelve vehicles flying by at the time Nancy Guthrie
2:26
Speaker 1: is kidnapped.
2:27
Speaker 2: Dave Matt what are we seeing.
2:29
Speaker 3: Well, you're actually seeing ring camera footage of a car
2:33
Speaker 3: about two thirty six in the morning, and Nancy, this
2:36
Speaker 3: is a home located about two and a half miles
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Speaker 3: from Nancy Guthrie's home. It's a back road that leads
2:44
Speaker 3: out of her neighborhood and it doesn't see a lot
2:47
Speaker 3: of traffic, not on a regular basis. Between midnight and
2:51
Speaker 3: six am February first, about twelve cars went down that
2:56
Speaker 3: road in front of this camera.
2:58
Speaker 2: But right there.
3:00
Speaker 3: Eight am a car goes flying by that camera. Nancy,
3:05
Speaker 3: that would be enough time from the time or two
3:09
Speaker 3: thirty six am. I apologize. Eight minutes after Nancy Guthrie's
3:13
Speaker 3: pacemaker connected via bluetooth to her Apple Watch, that car
3:18
Speaker 3: goes flying by that ring doorbell camera and you can
3:22
Speaker 3: see it. It's heading away. So that's what we're looking at,
3:26
Speaker 3: and that is really important that it's just outside of
3:30
Speaker 3: that two mile radius that law enforcement put up as
3:34
Speaker 3: the search area. This is two and a half miles
3:37
Speaker 3: but there it goes right there, away from the.
3:39
Speaker 1: Neighborhood, straight out to Brian Fitzgibbons, joining US Director Operations
3:43
Speaker 1: USPA Nationwide Security. He leads a team of investigators, seasoned
3:49
Speaker 1: investigators that find missing people.
3:52
Speaker 4: All around the world.
3:54
Speaker 1: Former marine Iraqi war vet one expertise extracting people from Mexico. Brian,
4:03
Speaker 1: thank you for being with us. What do you make
4:05
Speaker 1: of the video?
4:06
Speaker 5: Yeah, this is a really good development here in this case.
4:11
Speaker 5: And what you see is as this search is expanding
4:15
Speaker 5: beyond the crime scene, this is two and a half
4:18
Speaker 5: miles away from missus Guthrie's house. This is just a
4:22
Speaker 5: sampling of the leads that the FBI and PMA County
4:26
Speaker 5: have developed, and I want to mention that they are
4:29
Speaker 5: currently analyzing over ten thousand hours of surveillance video. So
4:36
Speaker 5: this is one small tip of the iceberg here that
4:39
Speaker 5: we're seeing. But they're going to start tracking down this
4:42
Speaker 5: vehicle as it was in the area at the right time.
4:47
Speaker 5: This is certainly a great lead for investigators.
4:50
Speaker 1: Todd Shipley joining US digital cybercrime expert former Detective Sergeant
4:54
Speaker 1: Reno PD, twenty five years in law enforcement, author of
4:59
Speaker 1: Survive Being a Cyber Attack, also author investigating Internet crimes.
5:05
Speaker 1: You can find him at dark intel dot info. Todd Schiffley,
5:10
Speaker 1: thank you.
5:10
Speaker 2: For being with us.
5:11
Speaker 1: How will the fans go about enhancing this video?
5:15
Speaker 6: Well, they're going to take the screenshots out of it
5:17
Speaker 6: and try to figure out what they can find from
5:20
Speaker 6: that one particular shot and identify if there's anything that's
5:24
Speaker 6: usable in that shot. It's a pretty quick shot that's moving,
5:27
Speaker 6: so it's not something that's going to be an easy
5:29
Speaker 6: thing to do, but they're going to take that video
5:32
Speaker 6: in the stills and try to enhance whatever they can
5:35
Speaker 6: to find anything descriptions, bumper stickers, the license plate obviously,
5:41
Speaker 6: if they can figure any of that out. The year
5:43
Speaker 6: making model obviously is important because then they can start
5:46
Speaker 6: tracking down who owns those in the state and try
5:50
Speaker 6: to figure out, you know what potential list of suspects
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Speaker 6: they might have who own that kind of car, and
5:56
Speaker 6: then start contacting each one.
5:57
Speaker 2: Straight back to Brian Fitzgibbons. Brian Mani.
6:01
Speaker 1: Online sleuths have identified the vehicle as being a Kia Soul.
6:07
Speaker 1: Let's see the mock up of the Kia Soul now, Brian,
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Speaker 1: As you and I have discussed on many many occasions,
6:14
Speaker 1: car manufacturers change, either ostensibly or subtly, the design of
6:20
Speaker 1: a car nearly every year, and that appeals to those
6:26
Speaker 1: individuals that like to buy a new car every year
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Speaker 1: and always drive a new car. That said, it can
6:32
Speaker 1: be subtle or very obvious. It can be a tilt
6:36
Speaker 1: up in the front lights. It can be a change
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Speaker 1: in the number of tail lights. It can be any
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Speaker 1: number of things, a subtle slope in the front windshield.
6:47
Speaker 1: But the point is, isn't it true?
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Speaker 2: Fitz Gibbons.
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Speaker 1: Major metropolitan areas New York, Chicago, La Atlanta. They've got,
6:57
Speaker 1: of course, homicide, they've got robbery, they've got crimes on children,
7:01
Speaker 1: They've got six crimes, they've got white collar crimes. They
7:04
Speaker 1: have an entire fleet of people investigators, they deal with
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Speaker 1: nothing but car theft and recovery, often busting wide open
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Speaker 1: car theft rings that make millions and millions of dollars
7:19
Speaker 1: a year. Those guys and ladies can look at a
7:23
Speaker 1: car at a distance and tell you, oh, yeah, that's
7:26
Speaker 1: a Kia Soul, that's a twenty twenty four.
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Speaker 4: And this is how I know it. How do they
7:31
Speaker 4: do it?
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Speaker 5: Mis Gibbons, Oh absolutely, and that's from thousands of hours
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Speaker 5: of surveillance on the job that they're finally tuned to
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Speaker 5: identified make model a year. And what I will say is,
7:46
Speaker 5: you know, while this video is not necessarily the highest
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Speaker 5: resolution that you would want, a lot of those key
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Speaker 5: identifiers are there, the shape of the windows, the locations
7:57
Speaker 5: of the tail lights. They can get a relative height
8:00
Speaker 5: and size of the tires, size of the vehicle in general.
8:03
Speaker 5: So a lot can be deduced from this, and I
8:06
Speaker 5: think that their assumptions would be pretty accurate.
8:09
Speaker 2: Here, guys, let's take another look at the video. How
8:15
Speaker 2: do they do it? How do they enhance it?
8:19
Speaker 1: It's amazing to me, but it's been done over and
8:23
Speaker 1: over and over. You think you can't see a tag,
8:27
Speaker 1: they may find a way to find that tag. Although
8:30
Speaker 1: typically in an operation like this Shipley, I doubt the
8:34
Speaker 1: person has their true tag, if any tag on the
8:38
Speaker 1: back of the car or the front Shipley in mind.
8:41
Speaker 6: That any part of that identification can be important, the color,
8:47
Speaker 6: the making model. Like we said, they're going to be
8:50
Speaker 6: able to go to the D and B locally and
8:53
Speaker 6: identify who has that. If it's a thousand cars, if
8:57
Speaker 6: there's one distinctive feature that can limit the that they've
9:00
Speaker 6: got to research, then they'll knock that down and that
9:03
Speaker 6: can go after those people. But even if it's a
9:05
Speaker 6: thousand cars, they've got to try to figure out where
9:07
Speaker 6: those people are in this case because of what's happened,
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Speaker 6: and identify who was there and whether they potentially were
9:14
Speaker 6: in that city or not.
9:16
Speaker 1: And don't think you've gotten away with anything if this
9:18
Speaker 1: is you in this vehicle, because Brian Fus Gibbons, you
9:22
Speaker 1: and I have covered together and investigated many others separately.
9:26
Speaker 4: Of cases that were cracked by the vehicle.
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Speaker 2: And here are just a few.
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Speaker 1: Okay, of course, the poster boy for so many evil
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Speaker 1: and nefarious things, Brian Coburger.
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Speaker 4: That whole case started.
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Speaker 1: The identification of Coburger started with a it's not a
9:44
Speaker 1: circle k not a quick trip. I went to the
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Speaker 1: gas station. A clerk at the gas station takes it
9:52
Speaker 1: upon herself to come through hours and hours of video,
9:56
Speaker 1: she spots a white Alantra flying by. Had been to
10:00
Speaker 1: the King Road address where the murders occurred. To get there,
10:03
Speaker 1: you come to an intersection and over on the left
10:07
Speaker 1: is this gas station.
10:09
Speaker 2: You go up the hill.
10:10
Speaker 1: And go down a very circuitous route to get to
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Speaker 1: the eleven twenty two King Road address. God said, that's
10:15
Speaker 1: the only way to get in there. She finds a
10:18
Speaker 1: white Alauntra speeding by around four o'clock in the morning,
10:22
Speaker 1: and she alerts police. They in turn alert all police
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Speaker 1: forces around them, including campus police, including Washington State University
10:31
Speaker 1: in Pullman. The Washington State University Police. Campus police go
10:37
Speaker 1: through all the records and they go, oh, white Elantra.
10:39
Speaker 1: Who has a white Alaunchra that's registered, you know with
10:42
Speaker 1: a car sticker?
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Speaker 2: Here, Oh, Brian Coburger's one.
10:45
Speaker 1: They go to his place, they see the car, they
10:47
Speaker 1: take a picture, and that's how the name first comes up,
10:50
Speaker 1: Brian Coburger. Then there's a Molly Tibbets case. In the
10:54
Speaker 1: Molly Tibbitts case, she is a gorgeous young coed studying late.
11:00
Speaker 2: He goes out for a jog. She's murdered.
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Speaker 1: You know how they find the purp through distinctive markings
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Speaker 1: on his vehicle taken from a door cam as he
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Speaker 1: drives by. He kept driving by her, back and forth,
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Speaker 1: trying to engage her in conversation. When she says, I'm
11:18
Speaker 1: calling nine one one, buddy, he kills her.
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Speaker 2: And in the.
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Speaker 1: Recent history, bryf It's Gibbons, the Teppie murders. You and
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Speaker 1: I have come through that case with a fine tooth comb.
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Speaker 1: Remember beautiful Monique and her husband dead in their beds.
11:35
Speaker 1: Brayf It's Gibbons, the purp who has been arrested, not
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Speaker 1: convicted yet. Doctor Michael McKee on his first of all
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Speaker 1: surveillance video catches him in the area tag plates he
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Speaker 1: had stolen tags switched him out. But guess what was
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Speaker 1: on his car. You're going to love this Where he
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Speaker 1: worked at the hospital. The sticker was still in the
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Speaker 1: car when they get to the car. Finally, he scratched it.
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Speaker 4: Off, ding ding ding, red bell of alarm.
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Speaker 1: Why scratch off your parking sticker? So you heard what
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Speaker 1: Shipley just said. It may not be the tag. It
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Speaker 1: may be a sticker, It may be an identifiable scratch
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Speaker 1: along the side.
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Speaker 2: Of the vehicle. It could be anything that s Gibbons
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Speaker 2: helped me out.
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Speaker 5: Here absolutely time and again, the vehicle is the lynchpin
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Speaker 5: to cracking a case wide open. You just listed off
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Speaker 5: a litany of those such cases, and I think what
12:33
Speaker 5: we're seeing here with all of this video, this new
12:37
Speaker 5: video that's been collected as of yesterday and now there
12:41
Speaker 5: will be thousands of hours of more video in with
12:45
Speaker 5: this new reward up to over one million dollars, this
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Speaker 5: vehicle could crack the case.
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Speaker 4: So crime Stories with Nancy Grace.
13:06
Speaker 2: Todd Shipley.
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Speaker 1: If a civilian can identify this as being a kisol,
13:14
Speaker 1: what can the FEDS do a lot more? We have
13:18
Speaker 1: seen them enhanced video like nobody's business. I mean, it's
13:22
Speaker 1: possible and everybody tonight. There are reports this is connected
13:27
Speaker 1: to Guthrie. There are reports it's not connected to Guthrie,
13:31
Speaker 1: all citing FBI sources. We don't know the answer, but
13:36
Speaker 1: todd Shipley in reality not guessing.
13:40
Speaker 2: Whether this is going to be connected or not.
13:42
Speaker 1: I don't quite understand the process of how they can
13:46
Speaker 1: lighten the picture how they can zoom in, how do
13:49
Speaker 1: they do it? And have you ever been part of
13:52
Speaker 1: catching a purp through the car?
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Speaker 6: Well, you know the fact that the FBI has got
14:00
Speaker 6: digital forensic experts and video experts that can do this,
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Speaker 6: it is something that you know is well known. They've
14:07
Speaker 6: been parsing through this. I don't know that they've got
14:10
Speaker 6: the speed to be able to do the things that
14:12
Speaker 6: people do online when they do a community driven review
14:16
Speaker 6: of these things, I want to say, release the video.
14:19
Speaker 6: People are looking at this trying to identify things and
14:22
Speaker 6: matching things at a speed that we've never seen before
14:24
Speaker 6: in law enforcement because this whole community driven, you know,
14:28
Speaker 6: approach to identifying information in these videos and photos is
14:34
Speaker 6: changed how law enforcement has to look at this. And
14:37
Speaker 6: sometimes they're on their heels trying to catch up with
14:40
Speaker 6: what the community is doing viause the communities identifying stuff
14:43
Speaker 6: sometimes correctly, sometimes incorrectly, and then they've got to spend
14:47
Speaker 6: time trying to figure out whether what the public is
14:50
Speaker 6: saying is pricked or not. That can take away from
14:53
Speaker 6: what they're doing. So sometimes it's hard to do that,
14:55
Speaker 6: but they've got the skills to be able to get
14:57
Speaker 6: the information and identify what's there and.
15:00
Speaker 1: Tonight to Dave Matt Crime Story's investigative reporter. According to
15:06
Speaker 1: Sleuth's a star is visible on the porch guy the
15:11
Speaker 1: perpetrator's jacket near his there you go, thank you, near
15:17
Speaker 1: the backpack strap.
15:19
Speaker 2: What do we know, Dave mac.
15:21
Speaker 3: Well, we know exactly that you're looking at the photo there, Nancy,
15:25
Speaker 3: and it looks like there could be a star on
15:30
Speaker 3: that backpack strap. But when there are other photos that
15:36
Speaker 3: don't show anything, So what we're looking at I think
15:39
Speaker 3: is a shadow from what he's holding up in front
15:41
Speaker 3: of the camera. If it's not a shadow, if it
15:44
Speaker 3: really is a black or blue star on that strap,
15:48
Speaker 3: well that adds to our ability to identify this particular person.
15:53
Speaker 3: Because we know that we know the brand of this backpack,
15:58
Speaker 3: we can search the brand and see if any of
16:01
Speaker 3: these backpacks come with a star.
16:03
Speaker 1: I would have nothing to do with the star. The
16:05
Speaker 1: star is on the jacket, Isn't that right, Dave.
16:09
Speaker 3: I'm looking at it and it's either on the strap
16:12
Speaker 3: round the jacket, Nancy. It appears to me.
16:16
Speaker 2: It looks to me like it's on the jacket.
16:18
Speaker 1: What about it, Brian fitz Gibbons, And how would we
16:21
Speaker 1: use that star if it's real to punt to find
16:25
Speaker 1: the purpose.
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Speaker 5: Yeah, this looks like it's on the jacket, and you know,
16:29
Speaker 5: I'll say two things first that this is either a
16:33
Speaker 5: brand of jackets, so it will help us identify exactly,
16:37
Speaker 5: you know, what item that is. You know, the FBI
16:40
Speaker 5: can do their thing to track down where the purchase
16:42
Speaker 5: might have taken place. Better yet, it could be a
16:46
Speaker 5: custom embroidered piece for a business or a school or
16:50
Speaker 5: something like that. And if it is a custom made piece,
16:54
Speaker 5: that's going to really narrow things down for us, because
16:58
Speaker 5: these items aren't one of one, right, There'll be fifty
17:01
Speaker 5: mad or one hundred and twenty made, and you know,
17:05
Speaker 5: people will be able to quickly identify that.
17:08
Speaker 1: This post that we are showing you is from trill
17:11
Speaker 1: Tril on X. Video from Nancy Guthrie's home obviously shows
17:16
Speaker 1: a mass suspect, the eighty four year old taken out
17:19
Speaker 1: of her home, but now a distinguishing mark on the jacket.
17:24
Speaker 2: Is it real? Is it a shadow? Take a look.
17:29
Speaker 1: The FBI working on the case released this video footage
17:32
Speaker 1: the night Nancy Guthrie was taken. And now, what do
17:36
Speaker 1: we know about a black star? On the jacket, an
17:41
Speaker 1: individual spots it and immediately it hits the internet like
17:46
Speaker 1: wild fire. I'm trying to figure out how the FEDS
17:51
Speaker 1: are going to go about isolating this, determining if it's real,
17:56
Speaker 1: and then finding it in their vast FBI a texture
18:02
Speaker 1: and clothing database that they keep, and in that they
18:07
Speaker 1: input everything from prior cases, whether it turned out to
18:11
Speaker 1: be real or not connected to the case or not. Example,
18:15
Speaker 1: in the Wayne Williams serial killings of young men throughout Atlanta.
18:19
Speaker 4: The case was cracked by first time ever out.
18:23
Speaker 1: Of my old district attorney's office the use of fiber
18:25
Speaker 1: comparisons on the bodies of many of the young boys
18:30
Speaker 1: and teen victims. There were odd fibers that were later
18:34
Speaker 1: traced back to the carpet in Wayne Williams's parents' home
18:39
Speaker 1: and the carpet.
18:40
Speaker 2: In his vehicle where he would put the bodies.
18:44
Speaker 1: After killing them, just before disposing of them in the
18:47
Speaker 1: Chattahoochee River.
18:49
Speaker 2: So the FBI has a huge.
18:52
Speaker 1: Database of all sorts of materials, clothing, textures, you name it,
18:57
Speaker 1: and I guarantee you if this is real, they're pouring
19:00
Speaker 1: through it right now. Straight back out to Dave Matt,
19:04
Speaker 1: what can you tell me about the guy that drives
19:08
Speaker 1: by Nancy Guthrie's home in the dark of the night
19:11
Speaker 1: up to one hundred times, all the time staring at
19:14
Speaker 1: a photo of her.
19:16
Speaker 4: In the car. Nancy.
19:18
Speaker 3: Late yesterday afternoon into the early evening hours, a man
19:22
Speaker 3: was driving his vehicle on Nancy Guthrie Street, right in
19:26
Speaker 3: front of her house. And he's driving by really slow
19:30
Speaker 3: while he's looking at a picture of Nancy Guthrie on
19:33
Speaker 3: his phone. Now we're not talking three or four times
19:37
Speaker 3: driving up and down the street. We're talking about the
19:39
Speaker 3: guy doing it for a long time, fifty to one
19:42
Speaker 3: hundred times, driving in front of her house. All the
19:46
Speaker 3: while and I'm going really, really slow. He's creeping along
19:50
Speaker 3: looking at a picture of Nancy Guthrie on his phone.
19:53
Speaker 3: So finally police decided it's time to take a look
19:56
Speaker 3: at this guy, and they pull him over and police
19:59
Speaker 3: arrest thirty f four year old Antonio DeJesus Peana compos
20:04
Speaker 3: in front of Nancy Guthrie's home on misdemeanor DUI charges.
20:15
Speaker 4: Crime Stories with Nancy Grace.
20:21
Speaker 1: Joining us now Heather Barnhardt, digital forensics expert with Celebright.
20:27
Speaker 1: You heard all about that during the Alexi Murdog trunk
20:30
Speaker 1: in the Alex Murdog trial, the case Wide Open, and
20:34
Speaker 1: the Sands Institute System Admin Audit, Network and Security. She
20:40
Speaker 1: worked on the Brian Coburger case. She is a co
20:43
Speaker 1: author of Practical Mobile Forensics, now in its fourth edition. Wow, Heather,
20:50
Speaker 1: thank you for being with us, Heather. I want to
20:52
Speaker 1: talk to you about the so called ransom notes.
20:56
Speaker 2: Heather.
20:57
Speaker 1: Is there anything about these rants notes that would suggest
21:02
Speaker 1: that they were AI generated and what are your thoughts
21:05
Speaker 1: about tracking that?
21:07
Speaker 7: One thing I want investigators to think about in this
21:11
Speaker 7: case are those ransom letters. And I remember reading and
21:16
Speaker 7: hearing on TMZ that one of them seemed to be
21:18
Speaker 7: written by a professional. Why was that one different? If
21:23
Speaker 7: AI was used to help write a ransom note, which
21:26
Speaker 7: is likely, so think about the Google searches that came
21:29
Speaker 7: out that so many IP addresses had searched for Nancy Guthrie.
21:33
Speaker 7: Who would know her name, who would know where she
21:35
Speaker 7: lived prior to the kidnapping? Can you find keywords in
21:40
Speaker 7: open AI that's available to the public that can be
21:43
Speaker 7: searched for anything that was written specifically in those ransom notes?
21:48
Speaker 7: And if the answer is yes, this could tie back
21:51
Speaker 7: to a location and to a person in their home
21:54
Speaker 7: who potentially was behind that keyboard typing those unique words.
21:58
Speaker 1: Wow, I hadn't thought of that. Whether that's pretty amazing.
22:03
Speaker 1: What about if a VPN was being used, If.
22:09
Speaker 7: The person wasn't using some type of VPN and private
22:13
Speaker 7: browsing and all the things that mask you from where
22:17
Speaker 7: you're existing when you're typing things, then yes we can
22:20
Speaker 7: find them. But keep in mind Brian Coberger tried to
22:23
Speaker 7: do this and we still found him. So there is
22:26
Speaker 7: always going to be a misstep that digital evidence will
22:30
Speaker 7: lead back to the person. But if they didn't do
22:32
Speaker 7: this and you just open a browser and you start
22:34
Speaker 7: googling things, absolutely that can be used the exact same
22:38
Speaker 7: way that OpenAI can be used.
22:40
Speaker 4: And I don't want the.
22:41
Speaker 7: Public to think, oh, no, I use chat GPT, or
22:44
Speaker 7: I use claud or I use something else. If you
22:47
Speaker 7: log in, your data is more protected than if you
22:51
Speaker 7: just start typing. For the Palisades fire, That's how law
22:55
Speaker 7: enforcement found people of interest or suspect of interest was
22:58
Speaker 7: things that they were typing in to AI that just
23:01
Speaker 7: existed out there in the world.
23:04
Speaker 1: Heather, I want to circle back to the video that
23:07
Speaker 1: has just surfaced about the video of the vehicles flying
23:11
Speaker 1: by at the same time Nancy Guthries kidnapped in her neighborhood.
23:16
Speaker 2: What do you make of that video?
23:18
Speaker 7: Forensic experts will be able to slow down those vehicles
23:21
Speaker 7: to the point of us being able to identify make
23:24
Speaker 7: and model. They should also be able to detect speeds.
23:28
Speaker 7: So if you think you're involved in a crime, you're
23:30
Speaker 7: probably driving pretty quickly. And this is exactly what happened
23:34
Speaker 7: with Brian Coberger. He tore out of that neighborhood in
23:37
Speaker 7: that vehicle. That car was the second most important identifier
23:42
Speaker 7: to the DNA to getting access to Brian Coberger and
23:46
Speaker 7: leading to an arrest.
23:47
Speaker 2: So this could be.
23:49
Speaker 7: What investigators need all along to identify who is involved
23:53
Speaker 7: in this crime.
23:54
Speaker 1: So, Heather, what about the fact that to the naked
23:58
Speaker 1: eye to us looks blurry?
24:01
Speaker 7: Oh my goodness, and my terrorism investigations, we were able
24:05
Speaker 7: to identify things that you can enhance this footage. Think
24:10
Speaker 7: about what AI can do for us in forensics. This
24:12
Speaker 7: is a perfect example of using AI to clean up
24:15
Speaker 7: an image, remove the blur, slow it down, and have
24:19
Speaker 7: vehicle experts say, I know that this is likely. This
24:22
Speaker 7: make a model probably of this year, and then you
24:25
Speaker 7: go into the records and see who in that area
24:28
Speaker 7: owns vehicles that match that description, and it will really
24:33
Speaker 7: pare down the amount of people that need to be
24:36
Speaker 7: questioned at this time.
24:39
Speaker 1: If you know or think you know anything about the
24:41
Speaker 1: disappearance of Nancy Guthrie, please dial toll free eight hundred
24:46
Speaker 1: two two five five three two four repeat eight hundred
24:50
Speaker 1: two two five five three two four, or if you
24:56
Speaker 1: wish to remain anonymous, five two zero eight eight two
25:00
Speaker 1: seven four sixty three repeat five two zero eight eight
25:04
Speaker 1: two seven four sixty three. There is a one point
25:10
Speaker 1: two plus million dollar reward. Thank you to all of
25:16
Speaker 1: our guests for being with us tonight, but special thanks
25:18
Speaker 1: to you for joining us in the continued search for
25:22
Speaker 1: Nancy Guthrie. There is time to bring her home.