Latest / Crime Stories with Nancy Grace / Young Yale grad student gunned down just after marriage proposal, person of interest?

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Young Yale grad student gunned down just after marriage proposal, person of interest? · Crime Stories with Nancy Grace

0:05
Speaker 1: Lieutenant Kevin jen just twenty six years old. Just last week,
0:13
Speaker 1: he announced he was going to get married, got down
0:16
Speaker 1: on one knee and proposed to the love of his life.
0:20
Speaker 1: But instead of planning a wedding, now his beloved sweetheart
0:26
Speaker 1: and family are planning a funeral and I want to
0:29
Speaker 1: know why breaking knees. Right now, we are learning that
0:40
Speaker 1: police have a POI person of interest. Take a listen
0:45
Speaker 1: to the new Haven Police Chief. The new Haven Police
0:48
Speaker 1: departments Hamaside Unit is looking for mister King Swan pon
0:53
Speaker 1: date of birth of four, sixteen, nineteen ninety one. His
0:57
Speaker 1: name is spelled q I n x u a N
1:02
Speaker 1: last named pa N again data birth for sixteen nineteen
1:05
Speaker 1: ninety one. Mister Pong was last seen at the Best
1:08
Speaker 1: Western Hotel to a one Washington Avenue in North Haven.
1:13
Speaker 1: His last known address is one thirty one correction one
1:16
Speaker 1: ninety three Clifton Street in Malden, Massachusetts. We know that
1:21
Speaker 1: mister Pong is a graduate of MIT and has an
1:24
Speaker 1: affiliation with that university. I am asking that the public
1:30
Speaker 1: knows that mister Pong should be considered armed and dangerous
1:33
Speaker 1: and that he that extreme question should be used. If
1:37
Speaker 1: you come in contact with this individual. What happened? Take
1:41
Speaker 1: a listen to this. I heard a gun shot, a
1:44
Speaker 1: woman's scream, several shots after that. The neighbor recalls the
1:49
Speaker 1: harrowing details of what occurred at the corner of Lawrence
1:52
Speaker 1: and Nicole Street at eight thirty Saturday night. Waited about
1:55
Speaker 1: a minute, came out and saw the bodyline there. The
1:58
Speaker 1: decease has been identify as twenty six year old Kevin
2:01
Speaker 1: Jeong of West Haven, Yo University confirms he was a
2:05
Speaker 1: graduate student in their School of Environment. He was a
2:08
Speaker 1: member of the class of twenty twenty two. Multiple witnesses
2:12
Speaker 1: confirmed hearing between three to six shots. I'm still shaking
2:16
Speaker 1: up about it. All night, we were all disbelief, the
2:20
Speaker 1: entire Yale community and many groups and organizations. Jong was
2:24
Speaker 1: a part of her carrying that disbelief as well. Hey guys,
2:27
Speaker 1: you were just hearing our friends at Fox sixty one.
2:30
Speaker 1: This young man, newly engaged Lieutenant Kevin Jien had reached
2:37
Speaker 1: the level of a lieutenant within the army. He drove
2:39
Speaker 1: a tank. He also in the reserves. He also volunteered
2:46
Speaker 1: religiously at his church, Trinity Baptist, about a mile from
2:52
Speaker 1: where he was murdered. They recently engaged, as in about
2:58
Speaker 1: six to seven days engaged. Young man had majored at
3:02
Speaker 1: Washington University and environmental studies, and then it was just
3:07
Speaker 1: a few short months away from getting his master's degree
3:11
Speaker 1: at Yale University the IVY leagues. I looked it up online.
3:17
Speaker 1: It's about sixty five grand all in for one year
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Speaker 1: at Yale in the master's program. His mother had to
3:27
Speaker 1: give up her life and the household expenses of her
3:30
Speaker 1: home in Seattle and moved there. They ended up living
3:33
Speaker 1: together to save money so he could get his master's degree.
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Speaker 1: You think I'm going to sign up for sixty five
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Speaker 1: grand so my kid can get shot down in the road. No,
3:50
Speaker 1: And what is Yale saying, Oh, We're sorry? What about
3:53
Speaker 1: the six murders in the college town in six weeks.
4:01
Speaker 1: Let's get into it, joining me an all star panel
4:03
Speaker 1: to break it down and put it back together again.
4:05
Speaker 1: Wendy Patrick, California prosecutor, author of Red Flags and host
4:10
Speaker 1: of Today with Doctor Wendy on k c b Q.
4:13
Speaker 1: You can find her at Wendy Patrick PhD dot com.
4:16
Speaker 1: Doctor Daniel Bober, who studied and worked at Yale, Chief Psychiatry,
4:21
Speaker 1: Memorial Regional Healthcare Assistant professor at Yale, and you can
4:26
Speaker 1: find him at doctor Daniel Bober on Twitter bo b r.
4:30
Speaker 1: Robert Crispin with a C. Former law enforcement now PI
4:35
Speaker 1: with Crispin's Special Investigations dot com. The medical examiner for
4:42
Speaker 1: the entire state of Florida. Doctor Tim Gallagher you can
4:47
Speaker 1: find him at PATHCAREMD dot com. But straight now to
4:52
Speaker 1: Crime Online dot com, investigative reporter, also with Lead Stories
4:55
Speaker 1: dot com. Alexis Terres Chuck, Alexis, I don't get it.
5:00
Speaker 1: This guy minding his own business. Eight thirty on a
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Speaker 1: Saturday night. I believe he's about a mile from his church,
5:10
Speaker 1: a few minutes away from his new fiance's home. I mean,
5:14
Speaker 1: they've been together over a year, but they were just
5:16
Speaker 1: nearly engaged, and all of a sudden he turns up dead.
5:20
Speaker 1: As I understand, his car had damned, new damage to
5:24
Speaker 1: the back of the car like it had been REI ended.
5:27
Speaker 1: He was shot multiple times and found lyne outside the vehicle.
5:34
Speaker 1: Tell me something I don't know, Alexis well. I don't
5:38
Speaker 1: know if everybody across the country knows, but there was
5:40
Speaker 1: a huge snowstorm in the northeast. So this was not
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Speaker 1: a road. This whole area was covered with snow. Eight
5:50
Speaker 1: thirty on Saturday night. It wasn't like the road was clear.
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Speaker 1: It wasn't like he could have been speeding away or anything.
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Speaker 1: He's driving slowly through the snow and he's there at
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Speaker 1: a corner and the car had damage. It looks as
6:01
Speaker 1: if someone has rear ended him, fresh damage. And as
6:04
Speaker 1: you said, yes, he's just got engaged, got down on
6:06
Speaker 1: one knee, also in the snow, proposed to his girlfriend,
6:09
Speaker 1: give her a rank. He was gushing about how happy
6:12
Speaker 1: he was. He posted all over Facebook. She said, yes,
6:15
Speaker 1: I love her. They met through church and then neighbors
6:19
Speaker 1: say they heard shots. First they heard two shots bring out,
6:23
Speaker 1: and then there was a pause, and then they hear
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Speaker 1: five more in rapid successions. And he's outside of the car.
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Speaker 1: He's not inside. Something happened to make him get out
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Speaker 1: of this car, and these people shot him in cold blood.
6:36
Speaker 1: You are bringing to mind a lot of lines of questioning,
6:40
Speaker 1: avenues of interrogation. I want to deal with the snow,
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Speaker 1: and I want to deal with the pause in the
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Speaker 1: seven shots, two shots, paws and five shots. That is
6:52
Speaker 1: significant for many many reasons, But I want to first
6:56
Speaker 1: deal with the snow. Let me go straight out to
6:59
Speaker 1: you too. Robert Crispin PI, former comp now at Crispin
7:04
Speaker 1: Special Investigations dot com. We know that the crime rate
7:10
Speaker 1: goes down and the colder months and goes up when
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Speaker 1: it gets warm and everybody is more out and about
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Speaker 1: seemingly we go down even more during COVID. But here
7:21
Speaker 1: you've got this town of Behaving, Connecticut. It's the college town,
7:28
Speaker 1: but it's fairly depressed. There's about one hundred and thirty
7:32
Speaker 1: thousand population, and a few years ago a study was
7:35
Speaker 1: conducted one in four people here live in poverty in
7:40
Speaker 1: the shadow of Yale University. But the snow, the deep snow,
7:48
Speaker 1: Alexis Terreschac just reported about that actually should make a
7:54
Speaker 1: difference in this case because it certainly lowers statistically the
7:59
Speaker 1: likelihood of violent crime jump in well, I mean maybe
8:03
Speaker 1: to a point, but until you upset somebody or you
8:06
Speaker 1: piss somebody off, all that goes out the window. Because
8:09
Speaker 1: we've got seven shots. We've got two shots followed by
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Speaker 1: the rest of them. They wanted him dead for whatever reason.
8:16
Speaker 1: But I will tell you about the snow. I love
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Speaker 1: snow when it comes to a crime scene, because the
8:20
Speaker 1: snow as soon as those officers arrive, is going to
8:23
Speaker 1: tell us so much about that crime scene. It's going
8:26
Speaker 1: to give us tire tracks of the offending vehicle. It's
8:29
Speaker 1: going to give us footprints from the shooter. It's going
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Speaker 1: to give us a direction of travel that somebody left
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Speaker 1: in with the car, which is going to allow me
8:38
Speaker 1: or the investigators to go back and start pulling video
8:40
Speaker 1: cameras and backtracking from everybody's house to see where this
8:44
Speaker 1: car came from. Maybe it came out of a drive
8:46
Speaker 1: right down the street. You just don't know. But snow.
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Speaker 1: I love it the best evidence out there. I agree
8:52
Speaker 1: with you regarding evidence, Member and Jamine. A big deal
8:56
Speaker 1: was made that there were no tracks in the snow
8:58
Speaker 1: outside the base window where it is believed the perpetrator
9:03
Speaker 1: may have entered. Snow. Yes, I was thinking along the
9:08
Speaker 1: lines of if this obviously not a carjacking because they
9:12
Speaker 1: damaged the car and they left the car. But as
9:17
Speaker 1: far as a rear end one, as Alexei's terres Chuck
9:22
Speaker 1: pointed out, there were no high speed road rage incidents.
9:28
Speaker 1: It was too snow. There could be there could be
9:30
Speaker 1: so much more to this that that crash could have
9:32
Speaker 1: been a roost exactly roos to lure him out of
9:36
Speaker 1: the car. Of course, you know this is this takes
9:39
Speaker 1: so much more to look into. You know, he just
9:41
Speaker 1: got engaged, He just went public with his engagement. Was
9:44
Speaker 1: there a crazy jealous X level? What about that, Doctor
9:47
Speaker 1: Daniel Bober? What about the theory? Does this have something
9:50
Speaker 1: to do with the engagement announcement the week before? Jump in? Yeah,
9:54
Speaker 1: the timing is very curious, Nancy, and it's definitely something
9:58
Speaker 1: that I would consider based on when the engagement announcement
10:01
Speaker 1: was made. It doesn't sound like just a completely random event.
10:12
Speaker 1: Crime Stories with Nancy Grace. Guys, we were talking about
10:19
Speaker 1: the death of a twenty six year old young man
10:22
Speaker 1: who had devoted his life to doing something good. His
10:25
Speaker 1: name Lieutenant Kevin jen and he not only had served
10:31
Speaker 1: his country as a tank operator in the Army, he
10:35
Speaker 1: was in the reserves and he was working to find
10:40
Speaker 1: a way to remove mercury from waterways and how to
10:47
Speaker 1: help our world in our environment. He not only worked
10:53
Speaker 1: at a food shelter, he cooked the food and served
10:57
Speaker 1: it to the homeless. A guy totally devoted to his
11:04
Speaker 1: faith a Christianity. He thought he had found his soul
11:08
Speaker 1: mate and she thought the same. Their relationship now cut
11:12
Speaker 1: short due to violence. What happened to Kevin? Take a
11:16
Speaker 1: listen to our friends At Fox sixty one, Police say
11:21
Speaker 1: they received multiple nine reporting gunfire and a person shot
11:26
Speaker 1: in the area of Nash Street and Lauren Street. The
11:28
Speaker 1: victim twenty six year old Kevin Jiang. He was shot
11:32
Speaker 1: multiple times and died on scene. According to police, died
11:37
Speaker 1: on the scene, shot multiple times. A pause in the shooting.
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Speaker 1: As I was discussing earlier with Robert Crispins at Crispins
11:46
Speaker 1: Special Investigations dot Com. While there may not have been
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Speaker 1: a high speed road rage incident with the snow, that
11:53
Speaker 1: could have easily contributed to a rear endure and everything
11:58
Speaker 1: go sideways, what about that theory? Wendy Patrick, California Prosecutor. Yeah,
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Speaker 1: you know, that's one of the theories they're going to
12:05
Speaker 1: be exploring, because what the gunshots tell us, it's the
12:09
Speaker 1: sound of strategy. Two shots followed by five. There's almost
12:14
Speaker 1: an element of planning that you wouldn't necessarily or at
12:17
Speaker 1: all expecting a road rage incident. And I love what
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Speaker 1: our friend Robert Crispin explains, if somebody had intentionally set
12:24
Speaker 1: out to commit this killing, they might think that snowstorm
12:27
Speaker 1: would provide some cover without knowing it actually preserves evidence.
12:31
Speaker 1: So if we've listened to the way those gunshots played out,
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Speaker 1: and we think about it as strategy as opposed to
12:37
Speaker 1: road rage, that may give us some lea eats as
12:39
Speaker 1: to who to look at next and how to begin
12:42
Speaker 1: this investigation. I want to go to doctor Tim Gallagher,
12:45
Speaker 1: a medical exam er, State of Florida. Doctor Gallagher, do
12:47
Speaker 1: you recall the Wayne Williams serial killing case. I do.
12:53
Speaker 1: I believe he was a serial killer from the DC
12:56
Speaker 1: area Attata and in that case, which was tried in
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Speaker 1: the office where I prosecuted, So the first time ever
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Speaker 1: that the use of fiber evidence was allowed in front
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Speaker 1: of a jury. Fiber evidence off many of the victim's
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Speaker 1: body young men matched exactly to fiber in Wayne Williams's
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Speaker 1: car or at his home, like shag carpet type fiber.
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Speaker 1: When you look under a microscope you can see that
13:32
Speaker 1: it looks identical and from that fiber you can determine
13:36
Speaker 1: what type of carpet. Of course, the color you may
13:40
Speaker 1: get blood on it. But from just that fiber, you
13:43
Speaker 1: can find the make, where it's manufactured, where it's sold,
13:48
Speaker 1: and once he yet to where it's sold, you can
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Speaker 1: find who bought it, what kind of car it goes
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Speaker 1: into it it's out of the trunk or the bottom
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Speaker 1: the floor of your car. In this case, I mean,
14:02
Speaker 1: have you ever had a chance to look at five
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Speaker 1: under microscope? Dodge Gallagher? Oh, we do here all the
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Speaker 1: time in OURSI lad, I'm leading up to the car.
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Speaker 1: Witnesses state to correct me if I'm rolling, Alexis tres Chuck.
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Speaker 1: Then they saw quote a shiny new black car playing
14:23
Speaker 1: the scene? Yeah, shiny and black? How did they know
14:28
Speaker 1: it was new? Did have a sticker? Did have one
14:31
Speaker 1: of those h car lot tags on the back? Shiny
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Speaker 1: new black car flowing the scene? Did you? Did you
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Speaker 1: get that too? Alexis? Yeah? And also I find a
14:43
Speaker 1: description of shiny. First of all, it's a thirty at night,
14:45
Speaker 1: so it's dark, right, I've been at there are streetlights,
14:48
Speaker 1: but shiny also again in this like I know it
14:52
Speaker 1: wasn't snowing at that exact second, but it had been
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Speaker 1: a snowstorm. Like, why do these people have such a
14:57
Speaker 1: fancy car? All of a sudden, in the middle of
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Speaker 1: a snowstorm, shiny new black car fleeing the same If
15:06
Speaker 1: there was a rear ender and this was a result
15:09
Speaker 1: of road rage or an accident, or even alluring technique
15:13
Speaker 1: to get Kevin out of the car, there is gonna
15:16
Speaker 1: be paint, black paint on the back of Kevin's car.
15:22
Speaker 1: What about that, doctor Gallagher? And from that paint we
15:26
Speaker 1: can actually determine what kind of car it was, what
15:31
Speaker 1: manufacturer uses this particular compound ingredients in the paint onto
15:38
Speaker 1: what car, and what are the local dealerships, and who
15:42
Speaker 1: bought those cars in the last year. If it's shiny,
15:45
Speaker 1: new and black, bam, well it's true. You know, we
15:48
Speaker 1: could even do better than that. A lot of the times,
15:50
Speaker 1: that will alert the repair body shops in the area.
15:53
Speaker 1: If somebody had a new car, they'd probably want to
15:55
Speaker 1: fix it, you know, and we would alert the body
15:59
Speaker 1: shop owners that if this car presents at your office
16:02
Speaker 1: or at your establishment, that we would like a phone call.
16:05
Speaker 1: And cars can change hands. New cars can change hands.
16:11
Speaker 1: Often it could be a rental car. Maybe that's why
16:13
Speaker 1: it looks new, you know. But somewhere, somewhere alone the
16:16
Speaker 1: line somebody's gonna want to fix, you know, a car
16:19
Speaker 1: with front end damage and said or burn it. Do
16:23
Speaker 1: you remember in the DC mansion murders where a whole
16:27
Speaker 1: family I believe with the Savopolis family was killed and
16:32
Speaker 1: the car had been stolen. I think it was a
16:34
Speaker 1: Porsche And it was no time after that that Porsche
16:38
Speaker 1: was found on fire in a different neighborhood. So that's
16:44
Speaker 1: serial number. We can give the Vin number from a burn.
16:46
Speaker 1: That's even better. If we do find a car, somebody's
16:49
Speaker 1: going to get unload that car. They're gonna fix it,
16:53
Speaker 1: sell it or burn it or get rid of it,
16:56
Speaker 1: put it into a body of water, anything to disconnect
17:00
Speaker 1: them from Kevin's car. So straight out to you, to
17:05
Speaker 1: Robert Crispin, here's the deal. There are entire units within
17:12
Speaker 1: police forces, especially in metropolitan areas, that do nothing but
17:17
Speaker 1: cars because it's so overwhelming. The carfs f by receiving
17:22
Speaker 1: the f by taking chop shops the works. Every year,
17:27
Speaker 1: almost every year, designers change something. It may be subtle
17:33
Speaker 1: on a car. I mean, come on, look at the bug,
17:36
Speaker 1: the VW bug and look at it now. Hello, that's
17:39
Speaker 1: what I'm talking about, Even if it's subtle the rear
17:43
Speaker 1: ends are changed, like the tail lights, something, the side mirrors,
17:48
Speaker 1: and a good car detective can actually tell you just
17:53
Speaker 1: like that what the make, the model of the year,
17:57
Speaker 1: everything about the car. Based on those subtle changes, you
18:00
Speaker 1: can probably explain it better than I can't. Go ahead
18:03
Speaker 1: us because you know the detectives they deal with this
18:05
Speaker 1: every day. I mean, you know a lot of good cops.
18:09
Speaker 1: You know, see a car going away from when the
18:10
Speaker 1: car hits the brakes, and they can tell you exactly
18:12
Speaker 1: what kind of car, what kind of suv it is,
18:14
Speaker 1: because of where the upper tail light is or or
18:17
Speaker 1: what the size of the middle brake light is, I mean,
18:22
Speaker 1: the make and model of these things. When they deal
18:24
Speaker 1: with it every day, and someone starts to describe a
18:26
Speaker 1: car to you as a late person, they're like, I
18:29
Speaker 1: just remember it had a super bright light and had
18:31
Speaker 1: a really really bright red light at the top in
18:34
Speaker 1: between the two right on the trunk. Well, to me,
18:37
Speaker 1: it's a car. SUVs have them up top. So all
18:40
Speaker 1: these different little you know, leads, and all these different
18:43
Speaker 1: little statements from your witnesses kind of start to put
18:46
Speaker 1: everything together, and it's just how they do it. Take
18:49
Speaker 1: it a vehicle pedestrian crash. You know, the vehicle hits
18:53
Speaker 1: the pedestrian, kills the pedestrian, but he leaves he leaves
18:56
Speaker 1: part of this taillight, I mean part of this headlight
18:59
Speaker 1: where he leaves his rear view mirror on the side.
19:01
Speaker 1: All that can be tracked back to the make modeling
19:04
Speaker 1: kind of card is Robert Crispin? Do you have children?
19:08
Speaker 1: Did you ever watch Aristocrats with them? Occasionally? Okay, we've
19:13
Speaker 1: seen it maybe one hundred hundred times, hundred and five times.
19:15
Speaker 1: This is just like over and over and over. Well,
19:18
Speaker 1: there is a scene in Aristocats and I would probably
19:22
Speaker 1: tell the jury this where there's two dogs, I swear
19:26
Speaker 1: I think their names are Napoleon and Bonaparte, but I'm
19:28
Speaker 1: not sure. And one of them can lift his ear
19:31
Speaker 1: up and he can tell you what's coming. He can
19:36
Speaker 1: tell you if it's Bertram, the evil butler that drugged
19:41
Speaker 1: the kitty cats. He can tell you if it's Jealope,
19:44
Speaker 1: if it's a bicycle, if one tyrus flat. What I'm
19:49
Speaker 1: saying is and a roundabout way, if we can get
19:54
Speaker 1: any idea on this car at all, A good harcop
20:00
Speaker 1: a detective can help determine the make, model, even the year,
20:06
Speaker 1: and we could start tracking this killer climb stories with
20:19
Speaker 1: Nancy Grace who killed Kevin Jian. Guys, take a listen
20:27
Speaker 1: to our friend Antonia Aello at CBS two. A sense
20:31
Speaker 1: of shock and sadness has settled on the Yale University
20:34
Speaker 1: community after the Saturday night's shooting death of grad student
20:38
Speaker 1: Kevin Gia. I don't have a memory of him where
20:40
Speaker 1: he wasn't smiling and happy, and even if you didn't
20:44
Speaker 1: agree with all of his views, he was more than
20:46
Speaker 1: happy to be your best friend. Eight thirty Saturday night,
20:50
Speaker 1: residents in the East Rock neighborhood heard the distinct sound
20:53
Speaker 1: of gunfire. One man spoke to me off camera. I
20:56
Speaker 1: heard like around seven rapid guns shots like I turned
21:01
Speaker 1: the lights off because I was scared. Police say someone
21:04
Speaker 1: shot John multiple times. He was found near his car,
21:08
Speaker 1: which had rear end damage. One possible mode of police
21:11
Speaker 1: or exploring violent escalation after a road rage incident. We're
21:15
Speaker 1: exploring every possibility, including whether or not there was an
21:19
Speaker 1: accident that precipitated this incident, whether or not it was
21:21
Speaker 1: a road rage. We do have very specific leads that
21:24
Speaker 1: we're exploring or we're not ruling anything out at this time.
21:27
Speaker 1: Straight out to doctor Daniel Bober, chief of psychiatry at
21:31
Speaker 1: Memorial Regional Healthcare Systems and assistant professor at Yale, Doctor
21:37
Speaker 1: Daniel Bober, you lived and worked in this area, this
21:42
Speaker 1: exact area for such a long time. Did you hear
21:46
Speaker 1: the neighbors say I was afraid? Isn't it true that
21:51
Speaker 1: you often would wake up at not hearing gunfire? Yes, Nancy,
21:55
Speaker 1: I mean this story is very personal to me, not
21:57
Speaker 1: because just because of the Yale connection, but because he
22:01
Speaker 1: was in the military as well, and I worked with
22:02
Speaker 1: the military. But yes, quite frequently when I was living
22:06
Speaker 1: in New Haven, I heard I heard gunshots all the
22:09
Speaker 1: time at night. So there was definitely its sheriff crime
22:12
Speaker 1: for sure. Now that's obviously not unique to New Haven,
22:15
Speaker 1: and I don't think it has anything to do with Yale,
22:17
Speaker 1: but it was definitely something I experienced when I was
22:20
Speaker 1: living there. You know, I looked up online how much
22:23
Speaker 1: it cost to go to Yale, and I just want
22:26
Speaker 1: to tell you what I learned. Let's see here all
22:29
Speaker 1: at oh right, here we go forty three plus forty
22:32
Speaker 1: three thousand dollars plus to go to the be enrolled
22:36
Speaker 1: in the Master's environment environmental program plus twenty thousand plus
22:42
Speaker 1: four books and necessities. That's the bare minimum. That's about
22:49
Speaker 1: sixty five thousand dollars. Bare minimum. I mean, then I
22:55
Speaker 1: guess you have to eight right, and you have to
22:58
Speaker 1: get back and forth to class. Says Why would anybody
23:02
Speaker 1: pay seventy grand for their baby to be gunned down
23:08
Speaker 1: in the street to go to Yale University? I mean,
23:11
Speaker 1: growing up on a red dirt road, as you know
23:13
Speaker 1: that I did, I guess I dreamed of Ivy League,
23:18
Speaker 1: and I was thrilled to get to go to Mercer
23:21
Speaker 1: and to NYU to complete my legal studies. But I
23:26
Speaker 1: would think long and hard before sending one of my
23:29
Speaker 1: children to such a high crime area Doctor bober Well Again,
23:35
Speaker 1: I mean, I think Newhaven has a lot of depressed areas.
23:38
Speaker 1: There's definitely a lot of crime, but people send their
23:41
Speaker 1: kids there because of the quality of the education and
23:44
Speaker 1: the kind of people that they're going to be exposed
23:47
Speaker 1: to on campus. He may enlighten the person that shot
23:50
Speaker 1: Kevin's young did. I wasn't talking about him, but I
23:53
Speaker 1: was talking about the other fessors and the other students. Yeah,
23:57
Speaker 1: I hear you. I hear you, doctor bow for why
24:01
Speaker 1: did you go to Yale while I went to Yale
24:04
Speaker 1: because you know, they had one of the best psychiatry
24:06
Speaker 1: programs in the country, and I wanted to get the
24:09
Speaker 1: best training so I could, you know, give the best
24:11
Speaker 1: for my patience. And that's where I went. And I
24:13
Speaker 1: had a great experience when I was there, and obviously
24:16
Speaker 1: I was I myself was not a victim of crime,
24:18
Speaker 1: but you know it's no secret that New Haven does
24:21
Speaker 1: have some crime rid in areas for sure. Yeah. I
24:24
Speaker 1: remember taking out loans to go to law school at
24:28
Speaker 1: Mercy University. First they're Walter at George School of Law,
24:32
Speaker 1: and then later I went back for a master's degree
24:36
Speaker 1: in Criminal and Constitutional Law NYU. That costs some money.
24:42
Speaker 1: I remember I would eight one cucumber role, Alexas, you're
24:46
Speaker 1: gonna love this, one cucumber role, one salad and water
24:53
Speaker 1: for dinner while I was paying to go to NYU,
24:58
Speaker 1: and I would sit there and study alone at the
25:01
Speaker 1: sushi bar, eating my one cucumber role. People sacrifice so
25:06
Speaker 1: much to go to name schools. I remember, Alexis how
25:11
Speaker 1: thrilled we all were with my sister got into the
25:14
Speaker 1: Wharton School at University of Pennsylvania. It was just the
25:17
Speaker 1: biggest thing that ever happened to us. We were thrilled.
25:20
Speaker 1: I'm thinking about Kevin's mother, what she went through moving
25:28
Speaker 1: from I believe it was Seattle to move in with
25:30
Speaker 1: him to help him get through this. I mean, it's
25:35
Speaker 1: a whole family effort to get somebody through an Ivy
25:38
Speaker 1: League school. And he was even actually supporting her. He
25:43
Speaker 1: was taking care of his mom. That's why he moved
25:45
Speaker 1: her across country so that he could cut down on
25:48
Speaker 1: expenses and they could live together. So she has nothing now.
25:52
Speaker 1: Her son had been murdered, brutally murdered, and he was
25:56
Speaker 1: the one that was taking care of her. This is
25:58
Speaker 1: a wide reading tragedy. It's affecting so many lives. Guys,
26:02
Speaker 1: take a listen to our friend Zenia Maldonado at Fox
26:07
Speaker 1: sixty one. I'll always remember him as being a very just,
26:12
Speaker 1: welcoming and wholesome individual, and he was very proud to
26:16
Speaker 1: be a part of the community. Jiang was a grand
26:19
Speaker 1: student at the Yale School of Environment. The school holding
26:22
Speaker 1: a virtual vigil for Jiang Monday night, his parents both
26:26
Speaker 1: in attendance. He gave me a lot of a joy.
26:30
Speaker 1: He's a litty thought theful woman boy picking cuff me
26:36
Speaker 1: and I missed him. Have you all said he's a
26:41
Speaker 1: very very charming we're a friend of me. Jiang served
26:49
Speaker 1: in the US Army National Guard. During the vigil, those
26:52
Speaker 1: who served beside him sharing memories. Everyone who met him
26:56
Speaker 1: said that you are so so. They called him dig
27:00
Speaker 1: Jang because he was so energetic all the time. Jang
27:03
Speaker 1: was a few days away from celebrating his twenty seventh birthday,
27:06
Speaker 1: and he proposed to his fiance Zion Perry, just last week.
27:10
Speaker 1: Perry sharing a statement reading, in part, Kevin was and
27:14
Speaker 1: is a gift from God. Life is so precious and short,
27:17
Speaker 1: and I am so thankful that God brought us together.
27:21
Speaker 1: But strength his family is showing at a time like this,
27:25
Speaker 1: I want to go straight out to Robert Crispin, former
27:28
Speaker 1: law enforcement now at Crispin Special Investigations dot com. What
27:32
Speaker 1: are the cops doing right now? They keep giving statements,
27:36
Speaker 1: They're not releasing a lot of information. I don't think
27:39
Speaker 1: they wanted it to get out that he was outside
27:42
Speaker 1: of the car when he was found sustaining multiple gunshot wounds.
27:47
Speaker 1: All that's intentional that they're not releasing that information, and
27:51
Speaker 1: it's also why they don't release the specific cause of
27:55
Speaker 1: death in other cases. Obviously we know that our victim
27:58
Speaker 1: was shot and killed. But there's a reason that they're
28:01
Speaker 1: not releasing this information because if the bad guy's listening,
28:05
Speaker 1: if the leads are still out there, and the evidence
28:08
Speaker 1: is still out there, we don't want that campered with
28:11
Speaker 1: or destroyed or altered in any way should we should
28:14
Speaker 1: we find it. So there's a reason when they don't
28:18
Speaker 1: tell you how somebody died. We just have a dead
28:20
Speaker 1: body inside an apartment somewhere. Because if we do get
28:23
Speaker 1: a victim, I mean, we do get a suspect and
28:25
Speaker 1: we go to interview him, only the suspect's going to
28:28
Speaker 1: know exactly the facts of that case when he goes
28:30
Speaker 1: to when he goes to confess to us, Yeah, you
28:34
Speaker 1: know what I did. I shot him in the head
28:35
Speaker 1: and I shot him twice in the leg because he
28:38
Speaker 1: upset me. Well, those are facts that only the suspect
28:41
Speaker 1: is going to know. And you start putting out different
28:44
Speaker 1: things into the public, and the bad guys starts seeing like,
28:47
Speaker 1: oh my god, they know it's they know it's you know,
28:50
Speaker 1: a black car I got to get rid of this car.
28:52
Speaker 1: A lot of crimes happen and law enforcement releases information
28:55
Speaker 1: that says we have absolutely no leads, we need help
28:58
Speaker 1: from the public. These suspects sometimes get a false sense
29:01
Speaker 1: of security. They keep driving the car. So there's a
29:04
Speaker 1: reason that long ENFORFRONT releases certain things in a certain way.
29:08
Speaker 1: They're not giving up. That to me tells me they
29:12
Speaker 1: potentially have a suspect. They potentially have a car. They
29:15
Speaker 1: could be doing active surveillance on a suspect right now.
29:18
Speaker 1: They could be sitting on a car that's parked in
29:20
Speaker 1: a parking lot in an apartment complex waiting for someone
29:22
Speaker 1: to get into it. There's a host of things that's
29:24
Speaker 1: going on, and they're not going to release what they've got.
29:27
Speaker 1: They're giving you enough to get by Climb stories with
29:41
Speaker 1: Nancy Grace. Guys, we were talking about the death Lieutenant
29:47
Speaker 1: Kevin Jean. What happened? Why is this twenty six year
29:51
Speaker 1: old man dad with his life in front of him?
29:54
Speaker 1: Take a listen to our cut number four. This is
29:56
Speaker 1: Tony Terzy at Box sixty one. Kevin Jian facebook page
30:01
Speaker 1: biography was poignant. Life is a gift. I am so
30:05
Speaker 1: thankful for so the community is grieving right now. This
30:10
Speaker 1: is a loss of an extraordinary young man. At approximately
30:15
Speaker 1: eight thirty pm on Saturday, officers responded after receiving numerous
30:20
Speaker 1: nine one one palls of gunshots which occurred here in
30:24
Speaker 1: the area of Lawrence and Nickel Streets in New Haven.
30:27
Speaker 1: Kevin Jong pronounced dead on scene. His identity was confirmed
30:32
Speaker 1: to be a resident of West Haven, twenty six years old,
30:35
Speaker 1: and he was a graduate student attending the Yale School
30:38
Speaker 1: of Environment. Police won't say much about the case, including
30:43
Speaker 1: why Jiang, who had just proposed to his fiancee a
30:47
Speaker 1: week before he was killed, was in the East Rock neighborhood.
30:52
Speaker 1: We have developed information suggesting that this incident may not
30:55
Speaker 1: have been an actual random act, that he in fact
30:58
Speaker 1: was targeted. What do they mean by not a random act?
31:03
Speaker 1: Does that have to do with his just announced engagement.
31:07
Speaker 1: Does it have to do with road rage? That he
31:10
Speaker 1: was hunted down because of road rage and shot dead
31:14
Speaker 1: in the street when he was a lured out of
31:15
Speaker 1: his car? What happened? The mystery only mounts as the
31:22
Speaker 1: days go by. But I have another idea and I
31:24
Speaker 1: want to throw this out there to you. First of all,
31:27
Speaker 1: doctor Daniel Bober. I want to circle back to you,
31:30
Speaker 1: doctor Bober, assistant professor at Yale who also studied there.
31:37
Speaker 1: I know that that was more of a rhetorical question.
31:41
Speaker 1: I know why people sacrifice all their money, all their
31:44
Speaker 1: savings to help their children or themselves get through an
31:47
Speaker 1: Ivy League school because it is believed that those are
31:52
Speaker 1: the very best schools in the world and that if
31:56
Speaker 1: you can get through, you'll be set. I mean, you
32:02
Speaker 1: think your children will be set for life if they
32:04
Speaker 1: get that golden ticket that Yale University, Harvard University, University
32:09
Speaker 1: of Pennsylvania, you know, Brown, that golden ticket that will
32:16
Speaker 1: take them through the rest of their lives. That's why
32:20
Speaker 1: people do it. It's the mecca of learning. Doctor Bober.
32:24
Speaker 1: You're absolutely right. Yeah, I agree. Um, I think like
32:28
Speaker 1: in the case of your sister, you said she got
32:29
Speaker 1: into Warden. You know, Warden is probably the best business
32:32
Speaker 1: school that there is. So, I mean, these are things
32:35
Speaker 1: that parents do to give their kids every possible advantage
32:38
Speaker 1: in life. And you know, crime is something that's going
32:43
Speaker 1: to happen anywhere. In some areas have more crime than others.
32:46
Speaker 1: But you know, you want the best for your kids,
32:48
Speaker 1: and sometimes you're willing to make these sacrifices to make
32:51
Speaker 1: that happen to you, Robert Crispin, And let me try
32:55
Speaker 1: with you too, Wendy. This is a new Haven West Haven, Annecticut.
33:00
Speaker 1: That is a coastal town. They're going to be a
33:03
Speaker 1: lot of tolls, and throughout the northeast there are tolls, tolls, tolls, bridges,
33:10
Speaker 1: and tolls with surveillance cameras. That's what I'm working up to.
33:15
Speaker 1: Not only surveillance cameras on tolls basically any direction the
33:20
Speaker 1: Purple would have gone, but residential surveillance cameras, public transportation
33:28
Speaker 1: surveillance cameras, ring doorbell, you name it. There's a way
33:34
Speaker 1: to try to piece together where this black car, this
33:38
Speaker 1: shiny new black car went. I mean, Wendy Patrick, you
33:42
Speaker 1: saw what the neu Canan police did in the case
33:47
Speaker 1: of Jennifer Dulos, right, they pieced together a video timeline
33:53
Speaker 1: based on everything from home surveillance video to bus doors
33:57
Speaker 1: opening and closing and seeing the drive by. Now that's
34:02
Speaker 1: exactly right. So well, we have thus far we have
34:05
Speaker 1: earwitnesses and eyewitnesses. We have the people that heard the
34:08
Speaker 1: distinct sound of gunfire as it was explained numerous nine
34:12
Speaker 1: one one calls that, let you know, there are lots
34:14
Speaker 1: of people that actually heard this. But if the eyewitnesses
34:17
Speaker 1: that are going to be able to link up what
34:19
Speaker 1: surveillance cameras may have captured regarding suspect vehicles with a
34:24
Speaker 1: vehicle the shiny black cars that was described that was
34:27
Speaker 1: actually at the scene. And one of the challenges there, Nancy,
34:31
Speaker 1: as you and I and actually as all of our
34:32
Speaker 1: deaths know, is you tend to recognize things you're familiar with.
34:37
Speaker 1: So wouldn't it be great if you'd actually did have
34:39
Speaker 1: somebody with a working knowledge of cars or some sort
34:42
Speaker 1: of a mechanical background that would have been able to say,
34:46
Speaker 1: those distinctive markings on that suspect vehicle matches what we
34:51
Speaker 1: have on those surveillance videos, because it is the timeline
34:54
Speaker 1: that eventually, hopefully is going to be putting this together
34:57
Speaker 1: as a case gets prepared for a jury, not just
35:00
Speaker 1: any black car, this black car. To Alexis Terre's Chuck
35:05
Speaker 1: joining me Crime Online dot com investigative reporter as well
35:08
Speaker 1: as with lead Stories dot Com, Alexis Molly tibbets remember
35:14
Speaker 1: no leads What happened to Molly couldn't find her. Long
35:19
Speaker 1: story short, I believe it was residential home surveillance camera
35:23
Speaker 1: catches a vehicle that is going back, and then it
35:28
Speaker 1: comes back, and then back and then back. Where in
35:32
Speaker 1: the area where she was jogging. What did it have?
35:36
Speaker 1: It had distinctive markings on the side of it. I
35:40
Speaker 1: think it's gonna end up being scratches along the side
35:43
Speaker 1: of that car. That's how they found the killer. And
35:47
Speaker 1: I remember Michelle Parker of the so called People's Court Mom.
35:52
Speaker 1: She had all of those stickers were glow tin or
35:56
Speaker 1: something that she was advertising her home business on her hummer.
36:01
Speaker 1: When her hummer was found, those individual peculiar to her
36:06
Speaker 1: car only stickers have been scratched off. It's very significant
36:11
Speaker 1: if they can get video of this car to see
36:14
Speaker 1: what if any markings are on it. But hey, the
36:17
Speaker 1: big one, I'm burying the lead here. There's gonna be damage,
36:20
Speaker 1: most likely on the front. I'm gonna I can't say
36:23
Speaker 1: which in because I don't know where where Kevin's car
36:26
Speaker 1: was damaged in the back, but there's gonna be damage
36:28
Speaker 1: on the front of that black car. Alexis and the
36:31
Speaker 1: police are gonna go to as you said, They're gonna
36:34
Speaker 1: go to the repair shops. They know which ones probably are,
36:38
Speaker 1: you know, the the ones that are going to handle
36:41
Speaker 1: quick fixes like this, and they're gonna go and they're
36:43
Speaker 1: gonna say, look, you, if you have this car, if
36:46
Speaker 1: somebody comes in, you better let us know because it's
36:49
Speaker 1: part of a crime scene. It's not just oh, I
36:52
Speaker 1: bumped into the wall as I was backing out of
36:53
Speaker 1: my driveway, like this is the police. They're going to
36:55
Speaker 1: go to each of these places around town that they
36:58
Speaker 1: know and they're gonna do it. And also it doesn't
37:01
Speaker 1: even have to be like the four houses on the
37:03
Speaker 1: corner where Kevin was murdered. It can be two blocks down.
37:08
Speaker 1: They can get the image if they see a black
37:10
Speaker 1: car there either in any direction. It doesn't have to
37:13
Speaker 1: be right around there, but they can get images further
37:16
Speaker 1: away from the scene of the crime. And there's also,
37:19
Speaker 1: to you, Robert Crispin, private investigator, Christens Special Investigations dot Com,
37:24
Speaker 1: the issue of cell phone data or if Kevin's vehicle
37:27
Speaker 1: had a nav navigational system, because we can look and
37:32
Speaker 1: see where he was and for how long. For instance,
37:35
Speaker 1: where was he right before the shooting. Hadn't he been
37:37
Speaker 1: in a bar, Did he get an altercation, did he
37:41
Speaker 1: get an argument with somebody in the grocery store parking
37:43
Speaker 1: lot and they followed him. I mean, you can learn
37:46
Speaker 1: so much from that navigation system in the car and
37:49
Speaker 1: from his cell phone, right, Crispin. Absolutely, And as a
37:53
Speaker 1: matter of fact, that knife cuts both ways, because once
37:55
Speaker 1: I developed a suspect and I dropped a subpoena for
37:58
Speaker 1: his cell site tower location, I can ping him right
38:01
Speaker 1: to the scene. So if I catch a LPR, we
38:05
Speaker 1: call them the license plate readers, and we do identify
38:07
Speaker 1: a vehicle and we identify a suspect. It's just like
38:11
Speaker 1: here in Florida, you can't go anywhere without getting caught
38:13
Speaker 1: by a license plate reader. And you know, we do
38:16
Speaker 1: talk about some of these places are more repressed and
38:19
Speaker 1: there's more homicides, believe it or not, especially here in Miami.
38:23
Speaker 1: There's more license plate readers in some of the requested
38:25
Speaker 1: areas where our higher crime rate is. So I'm going
38:28
Speaker 1: to probably venture to say that you know, they're they're
38:32
Speaker 1: employing the LPR system and they're trying to identify something.
38:35
Speaker 1: And to talk about the cell phones. Absolutely, you're carrying
38:38
Speaker 1: an electronic device that is paying off hundreds and hundreds
38:41
Speaker 1: of towers as you're driving. Every time you drive down
38:44
Speaker 1: the road and you stand your phone for an hour talking,
38:47
Speaker 1: driving up the turnplate, you're bouncing off the cell phone
38:50
Speaker 1: towers and they're they're jumping your signal to tower to
38:52
Speaker 1: tower to tower, and technology today to put you within
38:56
Speaker 1: fifty feet of a crime scene. Guys, for those of
38:59
Speaker 1: you don't know about lpr's license plate readers, we pass
39:04
Speaker 1: them all the time, Robert. The ones that I'm familiar
39:08
Speaker 1: with are just a straight metal rod sticking up let's
39:12
Speaker 1: just say, inside the interstate and then horizontal to that,
39:16
Speaker 1: or a series that looked like solar panels, you know,
39:20
Speaker 1: maybe two feet tall, and those are actually license plate readers.
39:25
Speaker 1: Are those the ones you're talking about. So there's a
39:27
Speaker 1: couple of different kinds. Obviously, there's the fixed ones that
39:30
Speaker 1: are bridges or on long interstates, but there's also the
39:33
Speaker 1: ones that are on police cars and those cameras. If
39:36
Speaker 1: you look at the hood or you look at the
39:39
Speaker 1: near the light bar or the back deck of the
39:41
Speaker 1: police car, you see those cameras are angled down a
39:43
Speaker 1: certain way, and as that officer's driving around, those tags
39:48
Speaker 1: or those cameras are automatically running your tag. They're giving
39:51
Speaker 1: up picture, they're giving a GPS coordinate location, and they're
39:54
Speaker 1: running it to see if it's stolen. Automatically. The computer
39:57
Speaker 1: is designed to do that, just as the cop down
40:00
Speaker 1: the street. It's how we find a lot of people.
40:02
Speaker 1: Once we get your tag, I can tell you where
40:04
Speaker 1: you are, what time your car was parked there, and
40:06
Speaker 1: I have an image of it. I can guarantee is
40:09
Speaker 1: the LPR is going to come into this a little
40:11
Speaker 1: bit if they can get a tag again. In the
40:14
Speaker 1: last hours, the breaking news is that there is a
40:16
Speaker 1: POI person of interest. Does what we know about this man,
40:22
Speaker 1: Ken Sean Pon fit with the evidence that we know
40:26
Speaker 1: to be true? Take a listen again to the New
40:28
Speaker 1: Haven Police Chief. Mister Pon is wanted for questioning at
40:33
Speaker 1: this time. We have a warrant for his arrest for
40:37
Speaker 1: a stolen vehicle out of north Haven Correction for a
40:42
Speaker 1: stolen vehicle that he possessed in north Haven. The North
40:46
Speaker 1: Haven Police Department came in contact with mister Pong soon
40:49
Speaker 1: after our homiside. He is currently a person of interest
40:53
Speaker 1: in our investigation. But I want to make sure you
40:56
Speaker 1: know that he is currently now not wanted on that homicide. Again,
41:02
Speaker 1: he should be considered armed and dangerous, and we asked
41:04
Speaker 1: the public to continue their efforts to help us in
41:08
Speaker 1: identifying any further witnesses. Any more information that you have
41:12
Speaker 1: is critical to this investigation, but we just want to
41:16
Speaker 1: make sure that the public knows that he has been identified.
41:20
Speaker 1: If you're questioning what you just heard some of mine,
41:22
Speaker 1: it's a lot of double talk. Bottom line, they're looking
41:25
Speaker 1: for this guy, Keishawn Pan. They're not calling him a suspect.
41:29
Speaker 1: They're saying he is armed and dangerous. That's enough for me.
41:32
Speaker 1: The search is on Nancy Grace Crime Story. Signing off,
41:36
Speaker 1: goodbye friend,