1 00:00:05,920 --> 00:00:17,520 Speaker 1: Crime Stories with Nancy Grace, a loving wife and a 2 00:00:17,560 --> 00:00:22,320 Speaker 1: well respected pharmacist at nowhere else but the Mayo Clinic 3 00:00:23,120 --> 00:00:29,320 Speaker 1: dies unexpectedly. What happened? I'm Nancy Grace. This is Crime Stories. 4 00:00:29,560 --> 00:00:31,880 Speaker 1: Thank you for being with us here at Crime Stories 5 00:00:31,920 --> 00:00:36,160 Speaker 1: and on series XM one eleven, trying to figure out 6 00:00:36,280 --> 00:00:41,919 Speaker 1: what happened to Betty Bowman. Healthy as a horse and 7 00:00:41,960 --> 00:00:46,720 Speaker 1: then suddenly bam gone, just like that of natural causes. 8 00:00:46,960 --> 00:00:49,839 Speaker 1: Let's just start at the beginning. Take a listen to this. 9 00:00:50,040 --> 00:00:53,320 Speaker 2: On August twenty first, twenty twenty three, the Southeast Minnesota 10 00:00:53,360 --> 00:00:56,800 Speaker 2: Medical Examiner's Office alerted the Rochester Police Department to the 11 00:00:56,800 --> 00:01:00,720 Speaker 2: suspicious death of Betty Bowman. She died on Agith and 12 00:01:00,760 --> 00:01:03,800 Speaker 2: the Medical Examiner's Office had to halt a cremation order 13 00:01:04,040 --> 00:01:08,520 Speaker 2: after learning of possible suspicious circumstances. According to court records, 14 00:01:08,680 --> 00:01:12,120 Speaker 2: the Medical Examiner's Office received a call from CGK, a 15 00:01:12,200 --> 00:01:13,800 Speaker 2: female friend of the Bowmans. 16 00:01:13,920 --> 00:01:19,039 Speaker 1: Huh okay, So just because a friend calls the hospital, 17 00:01:19,080 --> 00:01:24,360 Speaker 1: suddenly everything's off again. Thank you for being with us 18 00:01:24,400 --> 00:01:28,800 Speaker 1: here at Crime Stories. We're taking a very close look 19 00:01:29,400 --> 00:01:32,319 Speaker 1: at the death of a thirty two year old Mayo 20 00:01:32,480 --> 00:01:39,679 Speaker 1: clinic pharmacist who suddenly dies. Now when she goes in 21 00:01:39,720 --> 00:01:43,600 Speaker 1: to the hospital, she's perfectly fine in the weeks leading 22 00:01:43,680 --> 00:01:48,000 Speaker 1: up to that. But then how does everything go so 23 00:01:48,160 --> 00:01:51,280 Speaker 1: horribly wrong? And I will go first to Karen Start, 24 00:01:51,400 --> 00:01:55,560 Speaker 1: joining us renowned psychologists, joining us out of Manhattan, TV 25 00:01:55,680 --> 00:01:58,720 Speaker 1: radio trauma expert. You can find her at Karenstart dot 26 00:01:58,760 --> 00:02:01,600 Speaker 1: com and that's spelled Karen with to see Karen. I 27 00:02:01,640 --> 00:02:06,720 Speaker 1: think the shock of someone dying young and unexpectedly, it's 28 00:02:06,760 --> 00:02:10,720 Speaker 1: a whole different thing than when someone is in the 29 00:02:10,760 --> 00:02:14,200 Speaker 1: hospital or they're elderly. I guess, in a way, even 30 00:02:14,200 --> 00:02:16,880 Speaker 1: though there's no way to ever be ready to say 31 00:02:16,880 --> 00:02:19,520 Speaker 1: goodbye to somebody you love. And I know that whether 32 00:02:19,600 --> 00:02:24,080 Speaker 1: they die of old age or like my fiancee is 33 00:02:24,200 --> 00:02:29,400 Speaker 1: murdered in his twenties, unexpectedly, there's no good way to 34 00:02:29,440 --> 00:02:32,400 Speaker 1: say goodbye to somebody you love. But when it's sudden 35 00:02:32,480 --> 00:02:36,240 Speaker 1: and unexpected that it's a whole other layer to the 36 00:02:36,520 --> 00:02:39,519 Speaker 1: process of getting through it. You have the right words. 37 00:02:39,600 --> 00:02:42,880 Speaker 1: I don't. I'm just a lawyer. You explain, Karen Stark. 38 00:02:43,160 --> 00:02:47,359 Speaker 3: Bringing up your fiance That's a great example, because. 39 00:02:47,160 --> 00:02:51,919 Speaker 1: Karen, just because of you, you remember I gave up coffee, 40 00:02:52,200 --> 00:02:55,000 Speaker 1: you know, when I was pregnant with the twins because 41 00:02:55,000 --> 00:02:57,280 Speaker 1: of you and your analysis of all of these murders. 42 00:02:57,320 --> 00:02:59,600 Speaker 1: I've gone back to the hard stuff. I'm back on coffee. 43 00:02:59,600 --> 00:03:00,720 Speaker 1: Thank you. Go ahead. 44 00:03:01,880 --> 00:03:05,760 Speaker 3: But when you're talking about trauma, this is a great 45 00:03:05,960 --> 00:03:10,520 Speaker 3: example because the family, the friends, the people that were 46 00:03:10,560 --> 00:03:14,240 Speaker 3: close to her, they have more trouble getting over something 47 00:03:14,320 --> 00:03:14,520 Speaker 3: like this. 48 00:03:14,800 --> 00:03:16,679 Speaker 1: You don't ever get over. 49 00:03:16,960 --> 00:03:20,400 Speaker 3: Losing somebody that you love. But when it's traumatic like this, 50 00:03:20,480 --> 00:03:25,920 Speaker 3: when someone is healthy and described as being somebody that 51 00:03:26,560 --> 00:03:31,680 Speaker 3: loved people had all this energy and then overnight enters 52 00:03:31,760 --> 00:03:34,360 Speaker 3: the hospital and they did in a few days, they 53 00:03:34,520 --> 00:03:38,520 Speaker 3: just they're gone. That leaves you with something that you 54 00:03:38,680 --> 00:03:43,280 Speaker 3: can't stop thinking about. It's stayed, it's indelible, it's etched 55 00:03:43,360 --> 00:03:47,040 Speaker 3: into you, and it takes so much work to be 56 00:03:47,120 --> 00:03:51,440 Speaker 3: able to even live your life normally again without obsessing 57 00:03:52,080 --> 00:03:53,280 Speaker 3: about what could have. 58 00:03:53,240 --> 00:03:54,120 Speaker 4: Happened, What did I. 59 00:03:54,120 --> 00:03:58,120 Speaker 3: Do wrong, why didn't I say something? How am I responsible? 60 00:03:58,160 --> 00:04:02,000 Speaker 3: Even though you're not really affects people in a very 61 00:04:02,080 --> 00:04:05,720 Speaker 3: strong way, because it's not it's really like out of 62 00:04:05,800 --> 00:04:06,440 Speaker 3: left field. 63 00:04:06,640 --> 00:04:06,840 Speaker 5: You know. 64 00:04:06,920 --> 00:04:11,080 Speaker 1: Another thing about that, Karen Stark, Sometimes I have such 65 00:04:11,080 --> 00:04:13,640 Speaker 1: a huge long to do list every day. Sometimes I 66 00:04:13,680 --> 00:04:17,880 Speaker 1: forget some of them, not often, but sometimes, But I 67 00:04:17,960 --> 00:04:23,239 Speaker 1: remember distinctly every word that was said when I learned 68 00:04:23,360 --> 00:04:28,279 Speaker 1: Keith had been murdered. Because when I found out he 69 00:04:28,320 --> 00:04:31,039 Speaker 1: had passed away, See, it's hard for me to still 70 00:04:31,080 --> 00:04:34,760 Speaker 1: say dead. I thought that there been a car crash. 71 00:04:34,800 --> 00:04:36,960 Speaker 1: I didn't really know what had happened. In a period 72 00:04:37,000 --> 00:04:40,839 Speaker 1: of time passed and then I found out he was murdered. 73 00:04:40,880 --> 00:04:44,320 Speaker 1: And I remember the pastor at my little Methodist church, 74 00:04:44,600 --> 00:04:50,200 Speaker 1: I said, what happened and he was murdered. I remember 75 00:04:50,240 --> 00:04:55,239 Speaker 1: the entire conversation verbatim. Now, how can that be, Karen, 76 00:04:55,279 --> 00:04:56,679 Speaker 1: when I can forget it to do list? 77 00:04:56,920 --> 00:04:59,760 Speaker 3: Because what happens when you get that kind of news fancy, 78 00:05:00,160 --> 00:05:03,120 Speaker 3: it's kind of like a movie that plays in your head. 79 00:05:03,720 --> 00:05:07,000 Speaker 3: You remember everything that was said to you and what 80 00:05:07,080 --> 00:05:11,320 Speaker 3: you've and it's just it becomes stuck because it's just 81 00:05:11,480 --> 00:05:14,320 Speaker 3: so unexpected and it's not anything. 82 00:05:14,600 --> 00:05:15,839 Speaker 1: There's no script for it. 83 00:05:16,200 --> 00:05:17,760 Speaker 3: Your whole life story changes. 84 00:05:17,960 --> 00:05:20,719 Speaker 1: Joining me in addition to Karen Stark and again you 85 00:05:20,760 --> 00:05:23,920 Speaker 1: can find her at Karenstark dot com. And I want 86 00:05:23,960 --> 00:05:28,279 Speaker 1: to tell you we have not only been colleagues for many, 87 00:05:28,360 --> 00:05:33,400 Speaker 1: many years. We spent hours sitting together in the dark 88 00:05:33,720 --> 00:05:36,960 Speaker 1: of a Court TV studio watching trials live. 89 00:05:37,279 --> 00:05:37,880 Speaker 6: Boy, you did. 90 00:05:38,000 --> 00:05:41,960 Speaker 1: That's how I met Karen Stark at Court TV Third Avenue, 91 00:05:42,320 --> 00:05:46,239 Speaker 1: New York, when I did live trial coverage every single day, 92 00:05:46,320 --> 00:05:47,960 Speaker 1: and she would get up and come to the morning 93 00:05:47,960 --> 00:05:51,280 Speaker 1: shift with me. Had to be there at seven am. Guys, 94 00:05:51,320 --> 00:05:54,479 Speaker 1: we're talking about a thirty two year old young woman 95 00:05:55,040 --> 00:05:57,520 Speaker 1: so suddenly kills over in the hospital. There's really no 96 00:05:57,560 --> 00:06:00,880 Speaker 1: good way to put that. Joining me right now of Rochester. 97 00:06:01,240 --> 00:06:08,920 Speaker 1: Charles Kelly, reporter and anchor KTTC News, Charles, this woman 98 00:06:09,400 --> 00:06:13,120 Speaker 1: was actually beloved. You know, people actually get attached to 99 00:06:13,160 --> 00:06:16,080 Speaker 1: their pharmacist. I got attached to our pharmacist and even 100 00:06:16,120 --> 00:06:19,200 Speaker 1: the checkout person. I think it was the walgrains when 101 00:06:19,200 --> 00:06:23,520 Speaker 1: the twins were first born, because we were there so much, 102 00:06:24,080 --> 00:06:27,080 Speaker 1: Charles Kelly, we were there like between the two of 103 00:06:27,080 --> 00:06:31,159 Speaker 1: them every third day getting something for them, and they 104 00:06:31,240 --> 00:06:35,240 Speaker 1: knew us, and we knew them and their families because 105 00:06:35,279 --> 00:06:38,560 Speaker 1: we saw them all the time. And that's the way 106 00:06:38,640 --> 00:06:42,520 Speaker 1: this woman, Betty Bowman was. She was actually beloved at 107 00:06:42,520 --> 00:06:45,240 Speaker 1: the Mayo Clinic. I mean and Charles Kelly, can you 108 00:06:45,279 --> 00:06:47,719 Speaker 1: get any better than the Mayo Clinic? Really? 109 00:06:47,880 --> 00:06:50,960 Speaker 7: No, the world renowned Mayo Clinic. That that is what 110 00:06:51,080 --> 00:06:52,680 Speaker 7: Rochester is very much known for. 111 00:06:52,920 --> 00:06:56,719 Speaker 1: It is world renown, it is, and they don't hire 112 00:06:56,760 --> 00:06:59,640 Speaker 1: just me schlump off the streets. So this woman had 113 00:06:59,680 --> 00:07:03,120 Speaker 1: to be super smart and at the top of her game, 114 00:07:03,200 --> 00:07:06,039 Speaker 1: and now she's killing over guys. Take a listen to 115 00:07:06,040 --> 00:07:08,200 Speaker 1: our friends at crimeonline dot com. 116 00:07:08,320 --> 00:07:11,560 Speaker 2: Born and raised in Wichita, Kansas, Betty Bowman is the 117 00:07:11,680 --> 00:07:15,280 Speaker 2: kind of woman people like to call a friend. She's smart, loyal, 118 00:07:15,440 --> 00:07:19,160 Speaker 2: and exceptionally thoughtful. She graduated from the University of Kansas 119 00:07:19,200 --> 00:07:23,240 Speaker 2: School of Pharmacy with a pharmaceutical doctorate and completed residency 120 00:07:23,240 --> 00:07:26,840 Speaker 2: at Stormont Vale Hospital into Peka, Kansas. Betty and Connor 121 00:07:26,880 --> 00:07:29,360 Speaker 2: Bowman got married in May of twenty twenty one and 122 00:07:29,440 --> 00:07:32,840 Speaker 2: lived in Rochester, Minnesota, where Betty worked as a hospital 123 00:07:32,840 --> 00:07:36,360 Speaker 2: pharmacist while Connor went through internal medicine residency. 124 00:07:36,480 --> 00:07:39,320 Speaker 1: Oh on, right there, Wait, is this another case of 125 00:07:39,400 --> 00:07:41,800 Speaker 1: the wife putting the husband through medical school? Jackie ise 126 00:07:41,800 --> 00:07:43,960 Speaker 1: that what happened, Charles Kelly? Does she put him through 127 00:07:44,000 --> 00:07:46,440 Speaker 1: medical school while she worked as a pharmacist I. 128 00:07:46,400 --> 00:07:50,200 Speaker 7: Just know they both are very well educated medical experts. 129 00:07:50,200 --> 00:07:56,120 Speaker 7: But she was in medical school and then not sure 130 00:07:56,720 --> 00:07:59,400 Speaker 7: what the timeline is with their schooling. 131 00:07:59,480 --> 00:08:03,040 Speaker 1: Well, I know she got a doctorate, completed her residency 132 00:08:03,480 --> 00:08:07,760 Speaker 1: in Topeka. They get married twenty twenty one. Betty worked 133 00:08:07,760 --> 00:08:13,200 Speaker 1: as a pharmacist while he went through his residency. I 134 00:08:13,240 --> 00:08:17,480 Speaker 1: guess they met somewhere along the way in studies. She 135 00:08:17,560 --> 00:08:21,400 Speaker 1: went all the way to get her doctorate. So you know, 136 00:08:22,000 --> 00:08:25,680 Speaker 1: let me throw this out to doctor Lyle D. Burgoon, 137 00:08:26,160 --> 00:08:32,000 Speaker 1: President CEO Rapptor Farm and Talks Fellow of the Academy 138 00:08:32,000 --> 00:08:39,439 Speaker 1: of Toxicological Sciences Critical Science podcast. Wow, you're a toxicology expert. 139 00:08:39,880 --> 00:08:41,880 Speaker 1: How do you have time to do all that? Doctor Lyle? 140 00:08:41,880 --> 00:08:45,360 Speaker 1: Don't answer that. That was rhetorical, doctor Lyle Burgoon, I'm 141 00:08:45,360 --> 00:08:48,480 Speaker 1: going to call you doctor Lyle. That's okay, Doctor Lyle, 142 00:08:48,960 --> 00:08:53,480 Speaker 1: just a personal known on pharmacy studies. When I went 143 00:08:53,520 --> 00:08:56,560 Speaker 1: to college, I said Mom, what should I be? She said, 144 00:08:56,559 --> 00:08:59,600 Speaker 1: be a pharmacist. You'll always have a job. I'm like, okay, 145 00:08:59,600 --> 00:09:05,280 Speaker 1: I'll be aharmacists. I did not take chemistry in high school. 146 00:09:06,120 --> 00:09:09,280 Speaker 1: Was it required? So I go to college to be 147 00:09:09,320 --> 00:09:12,000 Speaker 1: a pharmacist, and I looked up. I didn't even know 148 00:09:12,040 --> 00:09:15,360 Speaker 1: what the elements were. I'm like, what is that? Then 149 00:09:15,400 --> 00:09:17,160 Speaker 1: I found out I was supposed to already know all that. 150 00:09:17,360 --> 00:09:21,360 Speaker 1: Needless to say, I fainted in the first lab when 151 00:09:21,360 --> 00:09:25,400 Speaker 1: I smelled all the chemicals. Hey, going to an autopsy 152 00:09:25,480 --> 00:09:28,240 Speaker 1: or a crime saying no problem, no problem, I don't 153 00:09:28,240 --> 00:09:31,160 Speaker 1: care how many dead bodies are in there, but that 154 00:09:31,320 --> 00:09:35,720 Speaker 1: chemistry lab I passed out anyway. Needless to say, I 155 00:09:35,760 --> 00:09:38,440 Speaker 1: did not do well at that. So I have my 156 00:09:38,600 --> 00:09:43,280 Speaker 1: hat off to anybody that can fight their way through. 157 00:09:43,280 --> 00:09:46,680 Speaker 1: It's like walking down Fifth Avenue through chewing gum, getting 158 00:09:46,679 --> 00:09:49,360 Speaker 1: through all that chemistry. So what do you have to 159 00:09:49,360 --> 00:09:51,280 Speaker 1: do to get a doctor? I'm trying to find out 160 00:09:51,320 --> 00:09:54,120 Speaker 1: about this woman. I'm going to know everything I can 161 00:09:54,160 --> 00:09:55,320 Speaker 1: find out. What do you know? 162 00:09:55,600 --> 00:09:59,040 Speaker 8: Yeah, so to get a doctorate in pharmaceutical sciences or 163 00:10:00,480 --> 00:10:04,840 Speaker 8: hers is probably a doctorate of pharmacy or actually pharmaceutical 164 00:10:04,840 --> 00:10:05,400 Speaker 8: scientist too. 165 00:10:05,440 --> 00:10:08,480 Speaker 1: Did you just say you're a pharmaceutical what you're a 166 00:10:08,480 --> 00:10:10,800 Speaker 1: pharmaceutical scientist? What did you just say? 167 00:10:10,920 --> 00:10:14,080 Speaker 8: Oh, I'm a pharmacologist, which is kind of related. So 168 00:10:14,160 --> 00:10:16,560 Speaker 8: I can't just spend drugs like a pharmacist can. But 169 00:10:17,320 --> 00:10:19,040 Speaker 8: you know, when I was in grad school, we would 170 00:10:19,040 --> 00:10:22,280 Speaker 8: study drugs and chemicals and how they do things, and 171 00:10:22,320 --> 00:10:23,680 Speaker 8: then we would turn around. 172 00:10:23,760 --> 00:10:25,160 Speaker 9: We would actually teach. 173 00:10:25,360 --> 00:10:27,600 Speaker 8: In the well, we have a pharmacy program where I was, 174 00:10:27,640 --> 00:10:29,400 Speaker 8: but we would teach in the medical schools and the 175 00:10:29,440 --> 00:10:30,240 Speaker 8: pharmacy schools. 176 00:10:30,280 --> 00:10:32,160 Speaker 1: And where were you, by the way, I was at 177 00:10:32,160 --> 00:10:34,520 Speaker 1: Michigan State University. Well that's a great school. 178 00:10:34,679 --> 00:10:35,520 Speaker 9: It is. Love it. 179 00:10:35,679 --> 00:10:39,480 Speaker 1: So this woman really again at the top of her 180 00:10:39,559 --> 00:10:42,880 Speaker 1: game and beloved, and all of our coworkers talked about 181 00:10:42,920 --> 00:10:47,160 Speaker 1: how thoughtful she was, had a traditional upbringing in Kansas, 182 00:10:47,280 --> 00:10:51,120 Speaker 1: in Wichita, beloved by her family. Can you imagine that 183 00:10:51,160 --> 00:10:53,760 Speaker 1: phone call. Everything's fine one day and the next day 184 00:10:53,880 --> 00:10:57,680 Speaker 1: she's dead. So let's get down to it. What happened? 185 00:10:57,720 --> 00:10:59,680 Speaker 1: Take a listen to our friend Dave mac. 186 00:10:59,640 --> 00:11:03,079 Speaker 2: At thirty two years old, Betty Bowman passes away from 187 00:11:03,120 --> 00:11:07,280 Speaker 2: a sudden onset autoimmune and infectious illness. Family and friends 188 00:11:07,360 --> 00:11:10,680 Speaker 2: are shocked. Betty Bowman was suffering from what seemed like 189 00:11:10,720 --> 00:11:14,439 Speaker 2: food poisoning, gastro intestinal distress, and dehydration when she was 190 00:11:14,480 --> 00:11:18,040 Speaker 2: admitted at the Mayo Clinic Saint Mary's Hospital on August sixteenth, 191 00:11:18,080 --> 00:11:20,280 Speaker 2: but her condition didn't get better. She took a turn 192 00:11:20,360 --> 00:11:23,160 Speaker 2: for the worse, with heart problems, fluid built up in 193 00:11:23,160 --> 00:11:25,959 Speaker 2: her lungs, and the removal of part of her colon 194 00:11:26,200 --> 00:11:30,160 Speaker 2: after it was discovered it contained necrotic tissue. This before 195 00:11:30,200 --> 00:11:31,720 Speaker 2: she died from organ failure. 196 00:11:31,880 --> 00:11:34,960 Speaker 1: Okay, that was like drinking from the fire hydrant, Nancy. 197 00:11:35,320 --> 00:11:37,800 Speaker 1: That was a lot of information. Is that, del Carson? 198 00:11:38,240 --> 00:11:38,600 Speaker 10: It is? 199 00:11:38,640 --> 00:11:40,680 Speaker 4: You know this is something with Okay, I just want. 200 00:11:40,520 --> 00:11:44,240 Speaker 1: To point out the deal. Carson is a veteran trial lawyer, 201 00:11:44,280 --> 00:11:47,319 Speaker 1: a high profile lawyer out of Jacksonville. He knows nothing 202 00:11:47,360 --> 00:11:51,120 Speaker 1: about pharmacology. He's not a medical doctor. Yet he's interrupting 203 00:11:51,440 --> 00:11:55,000 Speaker 1: the doctors and the toxicologists. Okay, I can't wait to 204 00:11:55,040 --> 00:11:56,640 Speaker 1: hear this. Go ahead, Dale Carson. 205 00:11:56,720 --> 00:11:59,040 Speaker 11: That's why I was an FBI agent because I saw 206 00:11:59,120 --> 00:12:00,920 Speaker 11: that than a lot of other people. 207 00:12:01,000 --> 00:12:03,800 Speaker 1: Right, and he's certainly never been accused of being modest. 208 00:12:03,880 --> 00:12:05,280 Speaker 1: Go ahead, there you go. 209 00:12:05,640 --> 00:12:09,760 Speaker 9: She was at Mayo Clinic. She's a doctor at Mayo Clinic. 210 00:12:09,920 --> 00:12:14,640 Speaker 9: She got the best care in the world. Immediately, those people. 211 00:12:14,480 --> 00:12:18,200 Speaker 11: Love one another when they're in practice together, so it's 212 00:12:18,280 --> 00:12:21,559 Speaker 11: not like she got reduced medical care. She got the 213 00:12:21,559 --> 00:12:26,080 Speaker 11: world's premium medical care. And it's a wonder she doesn't survive. 214 00:12:26,520 --> 00:12:28,880 Speaker 1: It's a wonder. I got to tell you my mom, 215 00:12:29,320 --> 00:12:31,880 Speaker 1: My mom was having a lot of difficulties, and Jackie, 216 00:12:31,960 --> 00:12:33,960 Speaker 1: it was during Dancing with the Stars, so there's already 217 00:12:34,040 --> 00:12:36,080 Speaker 1: true ress. Plus I was working full time, Plus I 218 00:12:36,120 --> 00:12:38,640 Speaker 1: had the twins living in a little bit of the apartment. 219 00:12:38,800 --> 00:12:40,720 Speaker 1: And in the middle of all this, my mom, who 220 00:12:40,840 --> 00:12:46,240 Speaker 1: was with me, got ill and we rushed her out 221 00:12:46,240 --> 00:12:49,760 Speaker 1: from La across the country to the Mayo Clinic and 222 00:12:49,880 --> 00:12:55,120 Speaker 1: they were amazing. So what you just said, Dell Carson 223 00:12:56,040 --> 00:12:59,960 Speaker 1: was dead on. Absolutely. If you can't the Mayo Clinic, 224 00:13:00,040 --> 00:13:02,880 Speaker 1: it can't help you. Nobody can help you. So all 225 00:13:02,920 --> 00:13:04,560 Speaker 1: of a sudden she dies and I need to speak 226 00:13:04,600 --> 00:13:09,400 Speaker 1: to doctor Lyle Bragoon again. Doctor Lyle, Well, what does 227 00:13:09,480 --> 00:13:14,360 Speaker 1: this mean? So she goes in for what do you say, 228 00:13:14,600 --> 00:13:22,079 Speaker 1: food poisoning and suddenly she has part of her colon removed. 229 00:13:22,720 --> 00:13:30,320 Speaker 1: It contained necrotic tissue. Now, necro, that means dead necrophiliac. 230 00:13:31,160 --> 00:13:34,280 Speaker 1: What is necrotic tissue in your colon? 231 00:13:34,679 --> 00:13:37,760 Speaker 8: It's exactly as you said, it's dead tissue. Basically, that 232 00:13:37,800 --> 00:13:39,719 Speaker 8: part of the large. 233 00:13:39,440 --> 00:13:41,560 Speaker 4: Intestine just died for some reason. 234 00:13:41,720 --> 00:13:45,679 Speaker 1: Okay, wait a minute, food poisoning, and suddenly your tissue 235 00:13:45,720 --> 00:13:48,400 Speaker 1: in your body is dead. See I'm into a lot 236 00:13:48,400 --> 00:13:51,679 Speaker 1: of autopsies, doctor Lyle, but I've never heard they go 237 00:13:51,760 --> 00:13:56,000 Speaker 1: in and they find dead tissue in your body. How 238 00:13:56,000 --> 00:13:57,559 Speaker 1: do you get dead tissue? 239 00:13:57,880 --> 00:14:01,840 Speaker 8: So usually what happened and you know, if we see 240 00:14:01,880 --> 00:14:05,400 Speaker 8: that tissue, it's you have a lack of oxygen so 241 00:14:05,440 --> 00:14:07,640 Speaker 8: that the blood flow to the area has stopped. 242 00:14:08,679 --> 00:14:10,360 Speaker 9: You know. One of the things that you might see 243 00:14:10,360 --> 00:14:10,679 Speaker 9: if you. 244 00:14:10,679 --> 00:14:12,079 Speaker 4: If you just came out of an. 245 00:14:12,040 --> 00:14:15,480 Speaker 8: Intestinal surgery of some kind, maybe an appendix removal or 246 00:14:15,520 --> 00:14:18,400 Speaker 8: something like that. One of the things that they're concerned 247 00:14:18,400 --> 00:14:20,920 Speaker 8: about is that the intestines will actually loop around themselves 248 00:14:21,000 --> 00:14:23,320 Speaker 8: and create a knot. And what that'll do is they'll 249 00:14:23,400 --> 00:14:26,720 Speaker 8: stop all the blood flow to a part of your intestine. So, uh, 250 00:14:26,840 --> 00:14:29,920 Speaker 8: that's why they're really happy if you're actually passing gas 251 00:14:29,960 --> 00:14:32,960 Speaker 8: and able to you know, uh poop for lack of 252 00:14:33,000 --> 00:14:35,400 Speaker 8: a better word. Uh, They're they're excited because it means 253 00:14:35,440 --> 00:14:37,760 Speaker 8: that you haven't you don't have a knots in your intestine, 254 00:14:38,000 --> 00:14:40,160 Speaker 8: because if you do, what will happen is the blood 255 00:14:40,160 --> 00:14:43,720 Speaker 8: flow will stop, the tissue there will die, and yeah, 256 00:14:43,760 --> 00:14:44,960 Speaker 8: it becomes a chronic. 257 00:14:44,960 --> 00:14:47,200 Speaker 1: Yeah, okay, I'm understanding what you're saying. A lot is 258 00:14:47,240 --> 00:14:51,160 Speaker 1: making sense now. After my dad, he had three open 259 00:14:51,240 --> 00:14:56,440 Speaker 1: heart surgeries plus countless others. He had, you know, stants, 260 00:14:56,520 --> 00:14:58,600 Speaker 1: He had the as I call it, the road o 261 00:14:58,720 --> 00:15:03,960 Speaker 1: radar cleaning out your he had his Karate, arnored everything Johne, 262 00:15:04,320 --> 00:15:08,320 Speaker 1: and he exercised. He was not overweight, he ate a 263 00:15:08,440 --> 00:15:11,920 Speaker 1: strict heart diet. He just had a bad heart. Long 264 00:15:11,920 --> 00:15:14,200 Speaker 1: story short, he has three open art surgeries. One of 265 00:15:14,240 --> 00:15:17,040 Speaker 1: the first questions they ask, and I'm looking over at Jackie, 266 00:15:17,080 --> 00:15:21,080 Speaker 1: is did he poop yet? I'm at the time, of course, 267 00:15:21,120 --> 00:15:23,040 Speaker 1: one of the times I was a high schooler, one 268 00:15:23,040 --> 00:15:24,960 Speaker 1: of the times I was in law school. Every time, 269 00:15:25,000 --> 00:15:28,840 Speaker 1: I'm like, Dad, I don't know, but what does that 270 00:15:28,880 --> 00:15:30,720 Speaker 1: have to do with his heart? You just made perfect 271 00:15:30,760 --> 00:15:47,120 Speaker 1: sense and you answered a very mysterious question. Time Stories 272 00:15:47,120 --> 00:15:51,000 Speaker 1: with me. It's he Grace trying to figure out why 273 00:15:51,040 --> 00:15:54,880 Speaker 1: this woman has did tissue and she just went in 274 00:15:54,960 --> 00:16:00,440 Speaker 1: the hospital for food poisoning. Okay, let's hear more from 275 00:16:00,840 --> 00:16:03,360 Speaker 1: crime stories investigative reporters. 276 00:16:03,440 --> 00:16:07,000 Speaker 2: While Betty Bowman was in the hospital. Connor Bowman suggested 277 00:16:07,080 --> 00:16:10,200 Speaker 2: she was suffering from a very rare illness referred to 278 00:16:10,240 --> 00:16:15,680 Speaker 2: as HLH. Tests were done for HLH, but they were inconclusive. 279 00:16:16,120 --> 00:16:19,960 Speaker 2: Regardless of the facts, Connor Bowman told multiple people his 280 00:16:20,040 --> 00:16:24,720 Speaker 2: wife died from HLH and even included HLH as a 281 00:16:24,800 --> 00:16:26,680 Speaker 2: cause of death in her obituary. 282 00:16:26,720 --> 00:16:29,160 Speaker 1: Okay, let me understand. What is h l H. I'm 283 00:16:29,160 --> 00:16:31,880 Speaker 1: going to be the brave one on this panel. Heemo 284 00:16:32,880 --> 00:16:41,440 Speaker 1: fay goctic go hemo fe gaw cidic hemo, vegasitic faga hemo, 285 00:16:41,600 --> 00:16:50,120 Speaker 1: vegasitic limpho his dion scytosis. I think is what HLH is. 286 00:16:50,160 --> 00:16:54,000 Speaker 1: But Charles Kelly, what is h LH? 287 00:16:54,360 --> 00:16:58,000 Speaker 7: HLH is a rare illness and it's an It's like 288 00:16:58,040 --> 00:16:59,720 Speaker 7: an autoimmune disorder. 289 00:17:00,080 --> 00:17:03,760 Speaker 1: Ah is that right, doctor Lyell? Auto immune disorder? 290 00:17:04,040 --> 00:17:05,160 Speaker 8: Yeah, that's exactly right. 291 00:17:05,520 --> 00:17:12,080 Speaker 1: So she goes in with food poisoning and she dies 292 00:17:12,640 --> 00:17:16,200 Speaker 1: of auto immune disorder. But wait a minute. Tests were 293 00:17:16,240 --> 00:17:20,000 Speaker 1: done for HLH at the urging of her husband, who 294 00:17:20,880 --> 00:17:27,959 Speaker 1: identified her ailment as HLH, and the result was inconclusive. Okay, 295 00:17:28,040 --> 00:17:28,720 Speaker 1: let's hear more. 296 00:17:29,040 --> 00:17:31,879 Speaker 2: On August fourteenth, Betty Bowman told him friend that she 297 00:17:31,880 --> 00:17:33,800 Speaker 2: had a few days off work and was looking forward 298 00:17:33,800 --> 00:17:37,080 Speaker 2: to hanging out. Betty Bowman and her friend were texting 299 00:17:37,119 --> 00:17:39,119 Speaker 2: each other in the evening when Betty told him she 300 00:17:39,240 --> 00:17:42,000 Speaker 2: was a home with Connor Bowman. The next morning, Betty 301 00:17:42,040 --> 00:17:44,920 Speaker 2: Bowman texted the same friend that she was sick, could 302 00:17:44,920 --> 00:17:47,439 Speaker 2: not sleep at all because she felt so ill. She 303 00:17:47,600 --> 00:17:49,960 Speaker 2: told the friend that she thought it was a drink 304 00:17:50,040 --> 00:17:53,520 Speaker 2: she had the night before that caused her illness because 305 00:17:53,800 --> 00:17:55,879 Speaker 2: it was mixed in a large smoothie. 306 00:17:55,920 --> 00:18:00,000 Speaker 1: Okay, right there. I may not know how to pronounce hi. 307 00:18:01,560 --> 00:18:05,600 Speaker 1: I might not know about pharmacological studies, but I do 308 00:18:05,720 --> 00:18:09,600 Speaker 1: know when you are given a large smoothie and you 309 00:18:09,680 --> 00:18:13,600 Speaker 1: suddenly become so sick that you go into the hospital 310 00:18:14,119 --> 00:18:19,119 Speaker 1: and die. My spidery senses are up. I want to 311 00:18:19,160 --> 00:18:23,400 Speaker 1: go now to another special guest. Robin Drake is joining US. 312 00:18:23,720 --> 00:18:29,280 Speaker 1: Behavior expert. Former FBI special agent like del Carson, now lawyer. 313 00:18:30,080 --> 00:18:36,760 Speaker 1: Drake FBI Counterintelligence Behavioral Analysis Program, author of Sizing People Up, 314 00:18:37,200 --> 00:18:42,160 Speaker 1: a veteran FBI agent's manual for behavior Prediction, which is incredible. 315 00:18:42,720 --> 00:18:46,399 Speaker 1: I love the part of that title, Manual for Behavior 316 00:18:46,680 --> 00:18:51,000 Speaker 1: Prediction is dead on Robin Drake. Robin Drake, so much 317 00:18:51,080 --> 00:18:57,080 Speaker 1: is happening surrounding the diagnosis of Betty Bowman, and I 318 00:18:57,080 --> 00:19:02,040 Speaker 1: don't know that we really get a clear cod cause 319 00:19:02,040 --> 00:19:06,159 Speaker 1: of death on Betty, but so far I don't like 320 00:19:06,280 --> 00:19:10,600 Speaker 1: that she drink something. And then the last time I 321 00:19:10,640 --> 00:19:13,560 Speaker 1: had food poisoning, and I rarely get it, I've got 322 00:19:13,600 --> 00:19:17,320 Speaker 1: a cast iron stomach. I was in Vegas because I 323 00:19:17,359 --> 00:19:20,320 Speaker 1: was spying on the children. They had a class trip 324 00:19:20,359 --> 00:19:23,560 Speaker 1: to the Grand Canyon, which was in the eighth grade. 325 00:19:23,760 --> 00:19:26,199 Speaker 1: Of course, I knew up here that they were going 326 00:19:26,240 --> 00:19:29,320 Speaker 1: to be fine, but in case anything went wrong, I 327 00:19:29,359 --> 00:19:32,080 Speaker 1: wanted to be nearby instead of on the other side 328 00:19:32,080 --> 00:19:36,840 Speaker 1: of the country. So flew to Vegas with David, my husband, 329 00:19:37,119 --> 00:19:39,560 Speaker 1: And even though they were all out in the Grand Canyon, 330 00:19:39,600 --> 00:19:41,680 Speaker 1: I just wanted to be near them in case they 331 00:19:42,040 --> 00:19:45,600 Speaker 1: somehow had a problem. While there, I ate at a 332 00:19:45,640 --> 00:19:48,760 Speaker 1: sushi restaurant. Never gotten sick off sushi, but that night 333 00:19:48,880 --> 00:19:53,600 Speaker 1: I was sick, sick, sick in through the next day. 334 00:19:53,880 --> 00:19:56,840 Speaker 1: But I didn't end up dead in the hospital from 335 00:19:56,880 --> 00:20:02,119 Speaker 1: bad sushi. I want you to hear this, Robin Drake. Listen. 336 00:20:02,240 --> 00:20:05,640 Speaker 2: It is stated that Connor Bowman told the Medical Examiner's 337 00:20:05,640 --> 00:20:08,919 Speaker 2: office that his wife should be cremated immediately and argued 338 00:20:08,960 --> 00:20:12,919 Speaker 2: that her death was natural. Bowman attempted to cancel the autopsy, 339 00:20:12,960 --> 00:20:15,720 Speaker 2: claiming Betty Bowman did not want to be a cadaver. 340 00:20:16,200 --> 00:20:19,919 Speaker 2: During the same time, Connor Bowman was corresponding via email 341 00:20:20,119 --> 00:20:23,200 Speaker 2: with one of the death investigators with the Medical Examiner's 342 00:20:23,200 --> 00:20:27,280 Speaker 2: office and asking the investigator if the toxicology analysis being 343 00:20:27,320 --> 00:20:30,840 Speaker 2: completed would be more thorough than the analysis typically done 344 00:20:30,880 --> 00:20:34,040 Speaker 2: at the hospital. Bowman also asked for a list of 345 00:20:34,080 --> 00:20:36,520 Speaker 2: what was specifically going to be tested for. 346 00:20:38,880 --> 00:20:41,680 Speaker 1: Number One, I see a big fat lie. Just because 347 00:20:41,720 --> 00:20:44,080 Speaker 1: you have an autopsy doesn't mean you're going to be 348 00:20:44,240 --> 00:20:48,119 Speaker 1: used as a cadaver a dead body at a medical school. 349 00:20:48,800 --> 00:20:51,359 Speaker 1: That's not what that means. People have autopsies all the 350 00:20:51,400 --> 00:20:54,760 Speaker 1: time and they are put to rest in the family plot. 351 00:20:55,640 --> 00:20:58,560 Speaker 1: So by saying no, no, no, I don't want an autopsy, 352 00:20:58,720 --> 00:21:02,040 Speaker 1: she never wanted to be a cadaver. Those two said nonsecuatory. 353 00:21:02,119 --> 00:21:06,600 Speaker 1: They don't follow each other. Okay, right there, Drake, right there, 354 00:21:06,960 --> 00:21:10,280 Speaker 1: I got a problem. You want to rush somebody to cremation. 355 00:21:11,119 --> 00:21:13,639 Speaker 1: In my world, that's a red flag. Maybe not in 356 00:21:13,720 --> 00:21:16,520 Speaker 1: other people's worlds, but in my world that's a problem. 357 00:21:16,760 --> 00:21:20,000 Speaker 1: And then when you start sniffing around trying to find 358 00:21:20,000 --> 00:21:24,040 Speaker 1: out what drug panels were run, wh's toxicology panels were 359 00:21:24,119 --> 00:21:27,520 Speaker 1: run on your dead wife's body in the hospital, And 360 00:21:27,560 --> 00:21:28,919 Speaker 1: how does that compared to what's going to be done 361 00:21:28,920 --> 00:21:32,520 Speaker 1: at the medical examiner's office. I definitely smell a rat, Drake. 362 00:21:33,000 --> 00:21:33,879 Speaker 6: I'm with you, Nanthy. 363 00:21:34,200 --> 00:21:37,160 Speaker 5: You know, when we're looking at human behavior, we as 364 00:21:37,240 --> 00:21:39,679 Speaker 5: human beings, we do a really really good job of 365 00:21:39,800 --> 00:21:43,520 Speaker 5: establishing patterns and routines of the people around. 366 00:21:43,240 --> 00:21:44,000 Speaker 9: Us, of ourselves. 367 00:21:44,040 --> 00:21:47,160 Speaker 12: You highlighted yourself and your own food poisoning. You could 368 00:21:47,640 --> 00:21:51,920 Speaker 12: readily identify what it was because it deviated from what you. 369 00:21:51,880 --> 00:21:53,800 Speaker 6: Normally have and you had a reaction to it. 370 00:21:53,880 --> 00:21:56,800 Speaker 10: And so what his behavior was doing was deviating from 371 00:21:56,840 --> 00:22:01,480 Speaker 10: a pattern, and her death deviated from her entire lifestyle. 372 00:22:02,080 --> 00:22:04,560 Speaker 6: So her friends and family are really the. 373 00:22:04,520 --> 00:22:08,719 Speaker 12: Heroes here, as well as the medical examiner that really highlighted. 374 00:22:08,200 --> 00:22:11,320 Speaker 10: That this is really unusual. And then his behavior is 375 00:22:11,359 --> 00:22:12,720 Speaker 10: also highly unusual. 376 00:22:12,800 --> 00:22:14,240 Speaker 6: So there's lots of deviations. 377 00:22:14,320 --> 00:22:15,919 Speaker 5: And people stood up and said something. 378 00:22:16,320 --> 00:22:20,160 Speaker 1: I like what you said about deviations, because I rarely 379 00:22:20,240 --> 00:22:25,240 Speaker 1: wear somewood to dot com get sick. My husband, who 380 00:22:25,320 --> 00:22:28,480 Speaker 1: is six 'y three, he claims to weigh two hundred 381 00:22:28,480 --> 00:22:30,280 Speaker 1: and fifty pounds. I don't know if that's real or not. 382 00:22:30,920 --> 00:22:34,840 Speaker 1: Former football player, blah blah blah. He actually has a 383 00:22:34,960 --> 00:22:39,080 Speaker 1: very delicate system. He's constantly sniffing and sneezing and claiming 384 00:22:39,119 --> 00:22:44,040 Speaker 1: hay fever and whatever. He's actually very delicate. So for 385 00:22:44,160 --> 00:22:47,560 Speaker 1: him to suddenly get a cold and get OTCS over 386 00:22:47,600 --> 00:22:53,840 Speaker 1: the counter meds, which I detest, that's not unusual for him. 387 00:22:54,480 --> 00:22:58,280 Speaker 1: So this is a deviation. This woman didn't get sick, 388 00:22:58,400 --> 00:23:02,560 Speaker 1: she didn't have a delicate stomach or delicate disposition, and 389 00:23:02,640 --> 00:23:06,159 Speaker 1: so this is very unusual. So let me go to 390 00:23:06,240 --> 00:23:10,919 Speaker 1: the source. Doctor Lyle d. Burgoon, toxicology expert, president and 391 00:23:11,000 --> 00:23:16,280 Speaker 1: CEO of Raptor Farm and Talks, a fellow of the 392 00:23:16,320 --> 00:23:24,360 Speaker 1: Academy of Toxicological Sciences and star of the Critical Science podcast. 393 00:23:25,680 --> 00:23:27,159 Speaker 1: What about it, Doctor Lyle? 394 00:23:27,440 --> 00:23:31,880 Speaker 8: You know, it's it's really it's really interesting, because yeah, 395 00:23:31,920 --> 00:23:34,880 Speaker 8: I agree about you know, this behavior is really strange. 396 00:23:35,480 --> 00:23:37,480 Speaker 8: Everything here is just really really strange. 397 00:23:37,640 --> 00:23:41,000 Speaker 1: Talking about the tx labs. Tell me about the talk labs. Yeah, 398 00:23:41,000 --> 00:23:42,760 Speaker 1: what do you do with the medical exammers. I know 399 00:23:42,840 --> 00:23:45,240 Speaker 1: that answer, but as compared to what would have been 400 00:23:45,240 --> 00:23:46,560 Speaker 1: done at the hospital, you know. 401 00:23:47,400 --> 00:23:49,240 Speaker 4: The difference is going to be. 402 00:23:49,320 --> 00:23:52,520 Speaker 8: Usually the hospital is looking for, you know, common drugs 403 00:23:52,520 --> 00:23:55,040 Speaker 8: of abuse, and they're looking for alcohol and things like that. 404 00:23:55,119 --> 00:23:57,359 Speaker 4: Basically, they want to know what's going. 405 00:23:57,280 --> 00:23:59,240 Speaker 8: To interfere with any drugs that they might give you 406 00:23:59,280 --> 00:24:02,439 Speaker 8: in the hospital. When you go to the medical examiner's office, 407 00:24:02,520 --> 00:24:05,200 Speaker 8: they're going to be running for, you know, again. 408 00:24:05,040 --> 00:24:06,760 Speaker 4: All the drugs of abuse, but they're also going. 409 00:24:06,720 --> 00:24:10,160 Speaker 8: To be looking for other things that are typical poisons. 410 00:24:10,160 --> 00:24:12,399 Speaker 8: They're going to be looking for rare chemicals as well. 411 00:24:13,080 --> 00:24:14,640 Speaker 4: They might do what we call. 412 00:24:14,520 --> 00:24:17,960 Speaker 8: An untargeted analysis. They might pay a lab to just say, 413 00:24:18,200 --> 00:24:20,480 Speaker 8: you know, just go out and try to find anything 414 00:24:20,520 --> 00:24:22,400 Speaker 8: that's in this blood that looks weird. 415 00:24:23,040 --> 00:24:23,240 Speaker 9: You know. 416 00:24:23,280 --> 00:24:26,399 Speaker 8: Sometimes they'll do that, and that's you know, it's pretty 417 00:24:26,400 --> 00:24:28,720 Speaker 8: common because they're trying to figure out why did this 418 00:24:28,760 --> 00:24:31,040 Speaker 8: person die. Is there something in their blood? You know, 419 00:24:31,200 --> 00:24:32,920 Speaker 8: did they eat something that wasn't right? 420 00:24:34,240 --> 00:24:35,440 Speaker 4: And so that's that's going to. 421 00:24:35,359 --> 00:24:36,360 Speaker 8: Be the biggest difference. 422 00:24:36,440 --> 00:24:40,000 Speaker 1: So Charles Kelly joining me, very well known investigative reporter 423 00:24:40,200 --> 00:24:48,280 Speaker 1: and anchor kt TC News Charles how quickly after Betty 424 00:24:49,200 --> 00:24:53,280 Speaker 1: dies unexpectedly in the hospital, did the husband want a 425 00:24:53,440 --> 00:24:54,280 Speaker 1: sudden cremation? 426 00:24:54,840 --> 00:24:56,959 Speaker 7: They said it was it was almost immediately. 427 00:24:57,480 --> 00:25:00,199 Speaker 1: Uh huh. The last thing on my mind when I 428 00:25:00,240 --> 00:25:03,560 Speaker 1: was in the room when my dad passed away, was oh, dear, 429 00:25:03,680 --> 00:25:06,239 Speaker 1: let me set up the funeral. What time should it be? 430 00:25:06,280 --> 00:25:07,840 Speaker 1: What day should it be? Who's going to write the 431 00:25:07,840 --> 00:25:09,960 Speaker 1: O bit? I can't even think about. 432 00:25:09,960 --> 00:25:10,040 Speaker 3: That. 433 00:25:10,119 --> 00:25:12,760 Speaker 1: I could think about was him and he wasn't going 434 00:25:12,840 --> 00:25:16,439 Speaker 1: to be with me anymore. Same thing with Keith. And 435 00:25:16,520 --> 00:25:19,800 Speaker 1: this guy's like got a head of steam for a cremation. Okay, 436 00:25:19,880 --> 00:25:23,680 Speaker 1: Dale Carson, I can't believe you break in on the toxicologist, 437 00:25:24,160 --> 00:25:26,960 Speaker 1: but now I'm getting some circumstantial evidence and you suddenly 438 00:25:27,200 --> 00:25:27,880 Speaker 1: go quiet. 439 00:25:28,200 --> 00:25:30,680 Speaker 13: Well, I'm just you know, when you ask. 440 00:25:30,600 --> 00:25:34,679 Speaker 9: Somebody to cremate immediately, that's the first red flag. 441 00:25:34,760 --> 00:25:39,399 Speaker 11: The second is the obit that explains precisely what killed 442 00:25:39,400 --> 00:25:44,560 Speaker 11: the person in some kind of medical ease, and that's 443 00:25:44,640 --> 00:25:45,879 Speaker 11: extremely unusual. 444 00:25:45,960 --> 00:25:48,600 Speaker 9: So the red flag start piling up. 445 00:25:48,800 --> 00:25:50,600 Speaker 6: I'm going to jump in on Dale now too. 446 00:25:50,640 --> 00:25:51,760 Speaker 1: Is that it is Robin. 447 00:25:52,480 --> 00:25:55,199 Speaker 5: I'm literally staring at the old bit too. I'm with 448 00:25:55,280 --> 00:25:57,639 Speaker 5: Dale in it. This o bit really stuck out to me. 449 00:25:57,920 --> 00:26:00,880 Speaker 1: Please tell me what about it is really sticking out 450 00:26:00,920 --> 00:26:02,800 Speaker 1: to you. And I also want to talk to somebody 451 00:26:02,880 --> 00:26:08,560 Speaker 1: about cremation because that gets rid of all your evidence 452 00:26:08,640 --> 00:26:10,520 Speaker 1: if you don't have the right labs. 453 00:26:10,600 --> 00:26:15,800 Speaker 13: It's over in the obit, it says, following a sudden 454 00:26:15,960 --> 00:26:20,720 Speaker 13: onset of auto immune and infectious illness. 455 00:26:21,119 --> 00:26:22,320 Speaker 6: Yep, controlling the narrative. 456 00:26:23,440 --> 00:26:26,680 Speaker 1: Come on, you're so right, controlling the narrative. 457 00:26:27,119 --> 00:26:30,200 Speaker 6: And so it's interesting here Nancy with this obit, even 458 00:26:30,200 --> 00:26:32,240 Speaker 6: when because he wrote the o bit, it says it 459 00:26:32,280 --> 00:26:35,480 Speaker 6: in some of the documents and so down further, he 460 00:26:35,560 --> 00:26:39,880 Speaker 6: actually she is survived by her fur baby, Sir Crumpet, 461 00:26:39,920 --> 00:26:43,080 Speaker 6: her husband Connor, not like loving husband or anything like that, 462 00:26:43,119 --> 00:26:45,560 Speaker 6: and so many special friends and loved ones. So if 463 00:26:45,600 --> 00:26:48,960 Speaker 6: he wrote it, he actually omitted the mother who she 464 00:26:49,040 --> 00:26:52,119 Speaker 6: actually had a very close relationship with. So it's a 465 00:26:52,359 --> 00:26:54,160 Speaker 6: very stale obit. 466 00:26:54,200 --> 00:26:57,000 Speaker 1: He put in the dog first, yeah, lifted the dog first. 467 00:26:57,040 --> 00:27:00,000 Speaker 12: And also all the condolences are a lot more heartfelt 468 00:27:00,080 --> 00:27:01,000 Speaker 12: than the actual little bit. 469 00:27:01,040 --> 00:27:04,200 Speaker 1: Who was this spaking? Is that? Robin Drake, Robin Drake, 470 00:27:04,720 --> 00:27:08,560 Speaker 1: You're right, I hear Karen start jumping Karen Well Nancy. 471 00:27:09,119 --> 00:27:12,120 Speaker 3: In addition to the fact that this OVID is so bizarre, 472 00:27:12,800 --> 00:27:15,360 Speaker 3: none of her friends or family knew that she had 473 00:27:15,400 --> 00:27:18,920 Speaker 3: this rare disease that he decides he's going to list 474 00:27:19,400 --> 00:27:24,440 Speaker 3: this autoimmune disease, and so right away people were suspicious 475 00:27:24,680 --> 00:27:26,159 Speaker 3: because it didn't make any sense. 476 00:27:26,200 --> 00:27:29,879 Speaker 1: I'm sure the mom is like, what auto I mean, Alman, 477 00:27:30,000 --> 00:27:32,840 Speaker 1: what are they even talking about? Charles Kelly, tell me 478 00:27:32,880 --> 00:27:34,280 Speaker 1: some more about her a bit place. 479 00:27:34,440 --> 00:27:36,679 Speaker 7: Yeah, So I actually spoke with some of her close 480 00:27:36,760 --> 00:27:40,000 Speaker 7: friends and previous colleagues and asked them if they thought 481 00:27:40,000 --> 00:27:42,800 Speaker 7: it was suspicious. You know, they said, she seems very 482 00:27:42,840 --> 00:27:45,760 Speaker 7: healthy from what they knew, but they just they didn't 483 00:27:45,760 --> 00:27:47,960 Speaker 7: really question it because I think they're in so much shock. 484 00:27:48,400 --> 00:27:51,480 Speaker 7: And they said that they didn't talk deep enough about 485 00:27:51,520 --> 00:27:53,520 Speaker 7: their health issues that they wouldn't have known if she 486 00:27:53,600 --> 00:27:56,719 Speaker 7: had this autoimmune disorder. But to them, and there are 487 00:27:56,720 --> 00:28:00,119 Speaker 7: other doctors too, saying she was a healthy person overall, 488 00:28:00,160 --> 00:28:03,200 Speaker 7: always living life to its fullest. So I also think 489 00:28:03,280 --> 00:28:06,240 Speaker 7: what's interesting is one of the best friend thoughs speaking 490 00:28:06,280 --> 00:28:08,560 Speaker 7: to told me that she has a very close sister 491 00:28:09,280 --> 00:28:11,920 Speaker 7: and she's not listed in the obituary at all as well. 492 00:28:12,000 --> 00:28:16,280 Speaker 1: Now I'm looking at the photo that was posted on 493 00:28:16,440 --> 00:28:19,120 Speaker 1: her online a bit. It's of her and a pair 494 00:28:19,119 --> 00:28:23,760 Speaker 1: of cutoffs. The ocean is behind her and she's looking 495 00:28:23,800 --> 00:28:28,560 Speaker 1: up over her shoulder lovingly at her husband. I'm rereading 496 00:28:28,880 --> 00:28:32,040 Speaker 1: the oh bit, and you're absolutely correct. Survived by her 497 00:28:32,080 --> 00:28:37,760 Speaker 1: fur baby, Sir Crumpet, the second of Mulberry, her husband Connor, 498 00:28:37,800 --> 00:28:41,320 Speaker 1: and so many special friends and loved ones, not even 499 00:28:41,440 --> 00:28:47,840 Speaker 1: mentioning her actual family, her blood relatives. You know, I'm curious, 500 00:28:48,080 --> 00:28:51,080 Speaker 1: Charles Kelly, did he already have the oh bit written? 501 00:28:51,440 --> 00:28:54,480 Speaker 7: That is not confirmed. We are not sure if he 502 00:28:54,560 --> 00:28:57,240 Speaker 7: had that already prepared, but we know that in the 503 00:28:57,320 --> 00:28:58,520 Speaker 7: reports that he wrote it. 504 00:28:58,680 --> 00:29:00,520 Speaker 1: I remember that was one of the worst. Mine was 505 00:29:00,600 --> 00:29:03,920 Speaker 1: in my wife sitting around the kitchen table with my 506 00:29:04,000 --> 00:29:07,320 Speaker 1: brother and sister trying to write my dad's a bit. Guys, 507 00:29:07,480 --> 00:29:08,520 Speaker 1: what more do we not listen? 508 00:29:08,640 --> 00:29:12,000 Speaker 2: Friends of Betty Bowman began reaching out to investigators. An 509 00:29:12,040 --> 00:29:14,960 Speaker 2: adult female friend of Betty Bowman told Detective Kendrick of 510 00:29:15,000 --> 00:29:18,480 Speaker 2: the Rochester Police Department that she had texted with Betty 511 00:29:18,520 --> 00:29:21,479 Speaker 2: Bowman on August sixteenth, and that Bowman told her she 512 00:29:21,560 --> 00:29:23,760 Speaker 2: was sick and was at the hospital and things were 513 00:29:23,760 --> 00:29:26,800 Speaker 2: going downhill. The friend told the detective that Betty Bowman 514 00:29:26,880 --> 00:29:30,120 Speaker 2: was a healthy person. According to the criminal complain, the 515 00:29:30,200 --> 00:29:33,640 Speaker 2: friend also told the detective that Connor Bowman had attended 516 00:29:33,640 --> 00:29:37,840 Speaker 2: pharmacy school, worked in poison controling Kansas, and was currently 517 00:29:37,840 --> 00:29:41,160 Speaker 2: in medical school. Betty Bowman had told others that Connor 518 00:29:41,200 --> 00:29:44,040 Speaker 2: Bowman was so much in debt that they kept separate 519 00:29:44,040 --> 00:29:47,320 Speaker 2: bank accounts. Connor Bowman told a female friend that he 520 00:29:47,440 --> 00:29:49,800 Speaker 2: was going to get five hundred thousand dollars in life 521 00:29:49,800 --> 00:29:53,120 Speaker 2: insurance as a result of Betty Bowman's death. Bowman also 522 00:29:53,160 --> 00:29:56,280 Speaker 2: told her that Betty Bowman was suffering from HLH. 523 00:29:56,120 --> 00:30:00,960 Speaker 1: Five hundred thousand dollars. Wait a minute, Charles Ky, investigative 524 00:30:00,960 --> 00:30:04,360 Speaker 1: reporter and anchor KTTC. Why was he in debt. 525 00:30:04,160 --> 00:30:07,280 Speaker 7: From his pharmacy school and from those here's a school 526 00:30:07,320 --> 00:30:10,280 Speaker 7: the money racked up, But it's interesting that you would 527 00:30:10,360 --> 00:30:13,640 Speaker 7: talk about the life insurance way that he's getting after 528 00:30:14,160 --> 00:30:17,880 Speaker 7: his wife has just passed away unexpectedly. 529 00:30:17,280 --> 00:30:20,760 Speaker 1: Five hundred thousand dollars and the only debt was from school. 530 00:30:21,200 --> 00:30:24,440 Speaker 7: I'm not sure from the report if there was more 531 00:30:24,480 --> 00:30:27,000 Speaker 7: to it than just his loans from school, or if 532 00:30:27,040 --> 00:30:29,880 Speaker 7: there was other reasons behind that. 533 00:30:30,120 --> 00:30:31,400 Speaker 1: There's got to be more, and I'll tell you why. 534 00:30:31,440 --> 00:30:35,040 Speaker 1: I think there's more. I had so much debt. I 535 00:30:35,080 --> 00:30:39,120 Speaker 1: went to law school on student loans. It took me 536 00:30:39,200 --> 00:30:41,640 Speaker 1: ten years to pay him off. I wrote the check 537 00:30:42,080 --> 00:30:45,160 Speaker 1: twelve times a year for ten years, and I remember 538 00:30:45,200 --> 00:30:48,000 Speaker 1: the amount one hundred and seventy seven dollars and eleven cents. 539 00:30:48,360 --> 00:30:50,200 Speaker 1: In fact, I didn't even know the loan and ended. 540 00:30:50,440 --> 00:30:52,200 Speaker 1: And I sent one check too many and they sent 541 00:30:52,200 --> 00:30:55,600 Speaker 1: it back to me. So he could easily have done 542 00:30:55,640 --> 00:31:01,240 Speaker 1: this through loans. Did he have a double life? Why 543 00:31:01,240 --> 00:31:05,040 Speaker 1: did he have so much debt that he was bragging 544 00:31:06,680 --> 00:31:10,040 Speaker 1: about a five hundred thousand dollars life insurance policy? And 545 00:31:10,040 --> 00:31:13,680 Speaker 1: I'm curious when did he take that out? But there's more. Listen. 546 00:31:13,800 --> 00:31:16,720 Speaker 2: The University of Kansas was able to locate Internet searches 547 00:31:16,760 --> 00:31:20,080 Speaker 2: conducted by Bowman on their device and network. Kendrick was 548 00:31:20,120 --> 00:31:24,680 Speaker 2: told that Connor Bowman was researching cal caisine cole cassine 549 00:31:24,760 --> 00:31:27,760 Speaker 2: is a drug used to treat gout. During his time 550 00:31:27,800 --> 00:31:31,000 Speaker 2: answering calls on the poison line, Bowman had not received 551 00:31:31,080 --> 00:31:34,440 Speaker 2: any calls regarding col caisine. Neither had any other employees 552 00:31:34,480 --> 00:31:36,640 Speaker 2: answering calls on the poison line, so. 553 00:31:36,560 --> 00:31:41,360 Speaker 1: He actually manned the poison line while he was in 554 00:31:41,440 --> 00:31:59,400 Speaker 1: med school at Poison Control Crime Stories with Nancy Grace 555 00:32:00,960 --> 00:32:06,120 Speaker 1: doctor Lyle Burgin, toxicology expert. What is cole casine and 556 00:32:07,520 --> 00:32:11,200 Speaker 1: is that a normal job for someone in medical school 557 00:32:11,520 --> 00:32:12,960 Speaker 1: to work at poison Control? 558 00:32:13,400 --> 00:32:16,600 Speaker 8: So I answered the second question first, it's not. It's 559 00:32:16,640 --> 00:32:21,800 Speaker 8: not completely unusual. Different states have different rules about who 560 00:32:21,840 --> 00:32:24,080 Speaker 8: can work as a poison specialist. 561 00:32:24,960 --> 00:32:26,720 Speaker 4: Typically you have to be someone. 562 00:32:26,520 --> 00:32:30,000 Speaker 8: Who's licensed, so he may have been a pharmacy tech. 563 00:32:30,600 --> 00:32:33,560 Speaker 8: That's actually a pretty common thing for people who are 564 00:32:33,800 --> 00:32:34,560 Speaker 8: aspiring to go. 565 00:32:34,480 --> 00:32:35,160 Speaker 4: To medical schools. 566 00:32:35,200 --> 00:32:38,640 Speaker 8: They become pharmacy techs or they become e mts. 567 00:32:38,640 --> 00:32:41,240 Speaker 4: And then if they have that kind of background, they can. 568 00:32:41,160 --> 00:32:45,120 Speaker 8: Sometimes work as a poison specialist. But to your your 569 00:32:45,160 --> 00:32:48,400 Speaker 8: first question, colt scene is an interesting chemical. It's a 570 00:32:49,520 --> 00:32:54,520 Speaker 8: it's a plan drived drug. It's been around for a 571 00:32:54,560 --> 00:32:59,560 Speaker 8: long time. It's considered one of the more ancient drugs, and. 572 00:32:59,560 --> 00:33:02,200 Speaker 4: It's been use to treat gout for a very long time. 573 00:33:03,400 --> 00:33:07,000 Speaker 8: What's interesting about culture sines, though, is how it works, 574 00:33:07,000 --> 00:33:10,240 Speaker 8: it actually gets into your cells. In our cells, we 575 00:33:10,320 --> 00:33:15,200 Speaker 8: have like thingums as rails, like train rails, So. 576 00:33:15,120 --> 00:33:16,920 Speaker 4: We have these little railways, and one of them is 577 00:33:16,920 --> 00:33:18,560 Speaker 4: called tubulin, and. 578 00:33:18,640 --> 00:33:21,320 Speaker 8: Tubulin moves proteins around from one side of the cell 579 00:33:21,400 --> 00:33:24,160 Speaker 8: to the other. But it also helps cells move. So 580 00:33:24,240 --> 00:33:28,240 Speaker 8: immune cells actually crawl through your body. It's kind of neat, 581 00:33:29,320 --> 00:33:31,800 Speaker 8: and once they get into an organ, they're just crawling around. Well, 582 00:33:31,840 --> 00:33:35,960 Speaker 8: if you if you take culture sine, that railway stops, 583 00:33:36,440 --> 00:33:39,000 Speaker 8: and so now there's no way for proteins to move 584 00:33:39,040 --> 00:33:42,040 Speaker 8: across the cell. But the cell itself also can't move. 585 00:33:42,720 --> 00:33:48,360 Speaker 8: And so it also for cell division. Tissues like our intestines, 586 00:33:48,520 --> 00:33:51,480 Speaker 8: our mouth, you know, the the mucous lining of our mouth, 587 00:33:51,920 --> 00:33:54,880 Speaker 8: our nose and stuff like that. Those those mucus linings 588 00:33:54,880 --> 00:33:59,520 Speaker 8: are constantly being replenished. But if you take culture sine, 589 00:33:59,680 --> 00:34:04,240 Speaker 8: it's stop cell divisions. So your cell stop dividing, and. 590 00:34:04,120 --> 00:34:05,720 Speaker 4: Then you don't replenish these things. 591 00:34:05,720 --> 00:34:08,200 Speaker 8: And so that's actually what gives you like the GI distress, 592 00:34:08,239 --> 00:34:10,160 Speaker 8: the gas intestinal distress, stuff like that. 593 00:34:10,239 --> 00:34:13,120 Speaker 1: Interesting that you said it was an ancient drug. It's 594 00:34:13,120 --> 00:34:17,160 Speaker 1: spin around forever. I wonder if that is part of 595 00:34:17,200 --> 00:34:20,640 Speaker 1: the labs, the standard labs that are run at the 596 00:34:20,680 --> 00:34:24,000 Speaker 1: medical examiners and the hospital. Are they or are they not? 597 00:34:24,800 --> 00:34:27,920 Speaker 4: Dot Jlyle It's it's not entirely standard to look. 598 00:34:27,800 --> 00:34:28,560 Speaker 9: For culture seine. 599 00:34:29,239 --> 00:34:33,080 Speaker 8: You would you would probably have to have some suspicion, 600 00:34:33,400 --> 00:34:36,680 Speaker 8: like you know, somebody's coming in for food poisoning and 601 00:34:36,719 --> 00:34:39,480 Speaker 8: then they die. You know you're going to be saying, well, okay, 602 00:34:39,560 --> 00:34:41,640 Speaker 8: what drugs are going to cause you to have some 603 00:34:41,719 --> 00:34:44,479 Speaker 8: kind of GI distress. It's not a really large list. 604 00:34:45,239 --> 00:34:47,240 Speaker 8: You're anti cancer, drugs and culture seine. 605 00:34:47,520 --> 00:34:53,840 Speaker 1: Someone may know the hospital, neither hospital nor may is 606 00:34:53,880 --> 00:34:58,600 Speaker 1: going to look for culture seine in their standard lab work. Okay, 607 00:34:58,640 --> 00:35:01,640 Speaker 1: but then there's more. Listen. 608 00:35:01,880 --> 00:35:05,200 Speaker 2: Some of Connor Bowman's Internet searches seemed really out of place. 609 00:35:05,719 --> 00:35:08,640 Speaker 2: Police found Internet searches about the drug cul cauisine and 610 00:35:08,840 --> 00:35:11,759 Speaker 2: determining what a lethal dose would be by entering his 611 00:35:11,800 --> 00:35:15,359 Speaker 2: wife's weight. The fact that Bowman talked to death investigators 612 00:35:15,360 --> 00:35:18,160 Speaker 2: about the toxicology test being done on his wife seemed 613 00:35:18,160 --> 00:35:21,440 Speaker 2: out of place as well. The drug he researched, caul caussine, 614 00:35:21,480 --> 00:35:24,680 Speaker 2: was listed on the autopsy report as the cause of death. 615 00:35:25,120 --> 00:35:27,120 Speaker 2: The toxic effects of caul cassine. 616 00:35:27,280 --> 00:35:33,160 Speaker 1: Okay, Charles Kelly, do I understand this correctly? Her husband, 617 00:35:33,400 --> 00:35:40,920 Speaker 1: Connor Bowman research cultuisine and how much as it related 618 00:35:40,960 --> 00:35:42,400 Speaker 1: to her body weight? 619 00:35:42,640 --> 00:35:47,319 Speaker 7: Yes, he even was converting her body weight to kilogram 620 00:35:47,680 --> 00:35:53,040 Speaker 7: and multiplying that in order to measure out the dose 621 00:35:53,000 --> 00:35:57,640 Speaker 7: sit rate in milligrams per kilogram for cultussine. 622 00:35:57,840 --> 00:36:02,960 Speaker 1: Okay, right there, Carson? What more do I need to 623 00:36:03,000 --> 00:36:05,200 Speaker 1: take this to a grand jury? Just tell me? Do 624 00:36:05,239 --> 00:36:06,440 Speaker 1: I need anything else? 625 00:36:06,719 --> 00:36:07,799 Speaker 9: You need a coele? 626 00:36:09,760 --> 00:36:13,400 Speaker 1: Okay? What you mean? I've got a dead body? 627 00:36:14,600 --> 00:36:15,160 Speaker 9: There you go. 628 00:36:15,320 --> 00:36:17,120 Speaker 1: I've got a dead body. She's dead. How do you 629 00:36:17,120 --> 00:36:20,080 Speaker 1: think she's not dead? She's dead. We've been talking about it. 630 00:36:20,680 --> 00:36:22,480 Speaker 9: I was just saying, you do have that? 631 00:36:23,120 --> 00:36:26,080 Speaker 1: Okay. My question to you was what else do I need? 632 00:36:26,160 --> 00:36:27,480 Speaker 1: Do I need anything else? 633 00:36:27,760 --> 00:36:28,879 Speaker 9: You need a confession? 634 00:36:29,120 --> 00:36:32,040 Speaker 1: Don't need a confession? Good gravy man? Where did you 635 00:36:32,080 --> 00:36:35,120 Speaker 1: go to law school? Tell Carson, I've prosecuted in many 636 00:36:35,160 --> 00:36:38,040 Speaker 1: cases without a confession. I don't expect the defendant just 637 00:36:38,120 --> 00:36:40,239 Speaker 1: lay down and let me drive over him. Am I 638 00:36:40,320 --> 00:36:44,120 Speaker 1: giving me a confession? Man? I need to school you. 639 00:36:44,320 --> 00:36:45,040 Speaker 1: Who's jumping in? 640 00:36:45,160 --> 00:36:45,279 Speaker 13: Is that? 641 00:36:45,360 --> 00:36:46,560 Speaker 1: Karen Stark yes, it. 642 00:36:46,640 --> 00:36:49,239 Speaker 3: Is, because the concession is if you look at his 643 00:36:49,320 --> 00:36:53,600 Speaker 3: Internet searches, there's in some ways that's him speaking. 644 00:36:53,800 --> 00:36:56,520 Speaker 1: How can some smart people do such stupid things like 645 00:36:56,680 --> 00:37:00,560 Speaker 1: leave a trail a mile wide? Well, okay, just that, 646 00:37:00,640 --> 00:37:03,200 Speaker 1: but I can tell you the day David Eugene, Yes 647 00:37:03,239 --> 00:37:09,400 Speaker 1: that's his middle name. Lynch looks ut VPN a private browser? 648 00:37:10,040 --> 00:37:13,520 Speaker 1: Oh yeah, fur is gonna fly listen. 649 00:37:13,719 --> 00:37:18,040 Speaker 2: Connor Bowman also accessed a search for the corrected question 650 00:37:18,200 --> 00:37:22,680 Speaker 2: from VPN to VPN. VPNs are secure methods of web 651 00:37:22,760 --> 00:37:25,000 Speaker 2: browsing and can be used by those who are trying 652 00:37:25,040 --> 00:37:28,400 Speaker 2: to hide their online activity from law enforcement. Bowman was 653 00:37:28,480 --> 00:37:32,319 Speaker 2: also searching sodium nitrate. Sodium nitrate can be used to 654 00:37:32,360 --> 00:37:35,480 Speaker 2: limit oxygen transport through the body. There was then a 655 00:37:35,480 --> 00:37:39,520 Speaker 2: Google shop page for various vendors selling sodium nitrate. 656 00:37:39,719 --> 00:37:46,480 Speaker 1: Okay, a Google shop page Charles Kelly for sodium nitrate. 657 00:37:46,600 --> 00:37:47,400 Speaker 1: Is that correct? 658 00:37:47,640 --> 00:37:48,040 Speaker 9: Yes? 659 00:37:48,200 --> 00:37:51,520 Speaker 7: That is exactly what a stated in the criminal complaint. 660 00:37:50,800 --> 00:37:53,720 Speaker 1: Doctor Lyell Bragoon. What is sodium nitrate? 661 00:37:53,920 --> 00:37:57,800 Speaker 8: Sodium nitrate is a chemical. It's commonly found in ferglicers. Actually, 662 00:37:58,280 --> 00:37:59,839 Speaker 8: and it's extremely water. 663 00:38:00,520 --> 00:38:02,799 Speaker 1: What do you mean? It's extremely water soluble and mean 664 00:38:02,880 --> 00:38:05,279 Speaker 1: like you could put it in a big fat slurpee. 665 00:38:05,480 --> 00:38:06,080 Speaker 9: Yep, you could. 666 00:38:06,160 --> 00:38:08,360 Speaker 8: You could put in a big flat fat slurpy. You 667 00:38:08,360 --> 00:38:11,000 Speaker 8: could put in the you know, whatever it is that 668 00:38:11,040 --> 00:38:14,280 Speaker 8: you want to drink it, It'll go in really easily. 669 00:38:14,360 --> 00:38:16,399 Speaker 1: I'll tell you what. The day that I catch David 670 00:38:16,480 --> 00:38:19,200 Speaker 1: Lynch looking up sodium nitrate is to day I call 671 00:38:19,280 --> 00:38:24,760 Speaker 1: a divorce lawyer. Okay, just the cherry on top. Listen. 672 00:38:24,920 --> 00:38:27,840 Speaker 2: The medical examiner determined the cause of death of thirty 673 00:38:27,840 --> 00:38:31,120 Speaker 2: two year old Betty Bowman to be toxic effects of 674 00:38:31,239 --> 00:38:35,719 Speaker 2: col cauisine and the manner of death homicide. Law enforcement 675 00:38:35,840 --> 00:38:40,240 Speaker 2: executed another search warrant on Connor Bowman's residence. Officers located 676 00:38:40,239 --> 00:38:43,759 Speaker 2: a receipt for a bank deposit of four hundred and 677 00:38:43,800 --> 00:38:45,080 Speaker 2: fifty thousand dollars. 678 00:38:45,200 --> 00:38:48,360 Speaker 1: You know, Robin Drink joining me behavior expert, former FBI 679 00:38:48,480 --> 00:38:54,080 Speaker 1: Special Agent in Chief of FBI Counter Intelligence Behavioral Analysis Program. 680 00:38:54,760 --> 00:38:58,359 Speaker 1: I have found, and I don't have the right psychological 681 00:38:58,480 --> 00:39:02,279 Speaker 1: terms for it, or psychiatric terms, that people that kill 682 00:39:02,400 --> 00:39:08,280 Speaker 1: for money for a pecuniary gain are a whole different animal. 683 00:39:09,440 --> 00:39:14,000 Speaker 1: There's just a whole different psychopathy in planning a murder. 684 00:39:14,080 --> 00:39:14,720 Speaker 1: For money. 685 00:39:14,880 --> 00:39:19,320 Speaker 5: Yeah, and he's fitting the pattern of people that poison 686 00:39:20,040 --> 00:39:21,600 Speaker 5: people for money for gain. 687 00:39:22,239 --> 00:39:25,120 Speaker 12: He's got a sense of an adequacy, most likely spoiled, 688 00:39:25,160 --> 00:39:25,840 Speaker 12: self centered. 689 00:39:26,680 --> 00:39:29,720 Speaker 5: It's a rare form of murder, one of the rarest, 690 00:39:29,920 --> 00:39:31,600 Speaker 5: But it fits a pattern. 691 00:39:31,920 --> 00:39:34,239 Speaker 6: When we're talking about patterns of behavior like we have been. 692 00:39:34,320 --> 00:39:39,080 Speaker 5: It fits a pattern from his background, from his pharmacy side, 693 00:39:39,239 --> 00:39:40,040 Speaker 5: from working. 694 00:39:39,800 --> 00:39:40,640 Speaker 11: At the Mayo clinic. 695 00:39:40,719 --> 00:39:43,400 Speaker 5: And now we see a pattern behavior of internet searches. 696 00:39:43,800 --> 00:39:46,160 Speaker 5: And when you combine that altogether with trying to control 697 00:39:46,200 --> 00:39:48,440 Speaker 5: a narrative, trying to dispose of a body before they 698 00:39:48,480 --> 00:39:52,080 Speaker 5: can be toxicology, it's all fitting what we're observing. 699 00:39:52,120 --> 00:39:53,759 Speaker 6: Man, it's a sad, tragic thing. 700 00:39:53,920 --> 00:39:58,480 Speaker 1: Charles Kelly KTTC. Is it true? I learned this according 701 00:39:58,480 --> 00:40:03,040 Speaker 1: to friends, that divorce was imminent. Why were they getting 702 00:40:03,080 --> 00:40:04,239 Speaker 1: a divorce? Do we know? 703 00:40:04,600 --> 00:40:08,440 Speaker 7: All we know is that they were having marital issues, 704 00:40:08,560 --> 00:40:12,879 Speaker 7: and we're talking about divorce, calling fidelity and a deterring relationship. 705 00:40:12,960 --> 00:40:15,440 Speaker 7: That was from a call that was given to the 706 00:40:15,640 --> 00:40:19,279 Speaker 7: Medical Examiner's office from a female that's identified in the 707 00:40:19,320 --> 00:40:20,040 Speaker 7: police reports. 708 00:40:20,320 --> 00:40:22,799 Speaker 1: So are there claims of infidelity? Is that what you 709 00:40:22,840 --> 00:40:23,200 Speaker 1: just said? 710 00:40:23,360 --> 00:40:27,120 Speaker 7: Yes, that's what The female who called the Medical Examiner's 711 00:40:27,120 --> 00:40:27,960 Speaker 7: office said. 712 00:40:27,840 --> 00:40:31,440 Speaker 1: Who allegedly was cheating or were they both? That is unknown. 713 00:40:31,600 --> 00:40:35,319 Speaker 11: Well, it's pretty clear that it was her with a 714 00:40:35,360 --> 00:40:38,280 Speaker 11: guy that was texting back and forth with her during 715 00:40:38,960 --> 00:40:41,400 Speaker 11: the composed divorce. 716 00:40:41,760 --> 00:40:44,160 Speaker 1: Oh, I'm in chart because that guy's texting me all 717 00:40:44,200 --> 00:40:48,360 Speaker 1: the time, particularly Wilson, our managing editor at Crime Online. 718 00:40:48,400 --> 00:40:52,000 Speaker 1: Should we tell his wife? Let's don't, just because Del 719 00:40:52,080 --> 00:40:55,680 Speaker 1: Carson twenty twenty three, Just because you're texting with a 720 00:40:55,760 --> 00:40:58,040 Speaker 1: male colleague does not mean you're in an affair. 721 00:40:58,200 --> 00:41:00,560 Speaker 9: I don't think it was a colleague, and it was little. 722 00:41:00,320 --> 00:41:04,000 Speaker 1: More than Jackie is wildly waving a note at me. 723 00:41:04,160 --> 00:41:06,840 Speaker 1: Connor was cheating. It was him. How do we know 724 00:41:06,920 --> 00:41:10,000 Speaker 1: Connor was cheating? You said, Connor is cheating the friend 725 00:41:10,080 --> 00:41:12,920 Speaker 1: the friends say, you know what, Dale Carson, I am 726 00:41:13,000 --> 00:41:15,600 Speaker 1: taking you to school, young man. I am taking you 727 00:41:15,680 --> 00:41:20,120 Speaker 1: to school. So where does the case stand right now? 728 00:41:20,680 --> 00:41:24,920 Speaker 1: Let me post that to our friend at KTTC, Charles Kelly. 729 00:41:25,000 --> 00:41:26,360 Speaker 1: What's happening right now? 730 00:41:26,520 --> 00:41:30,200 Speaker 7: Right now? The Oldsaid County attorney that I spoke with, 731 00:41:30,600 --> 00:41:36,320 Speaker 7: they are currently charging him with second degree murder with intent, 732 00:41:37,200 --> 00:41:40,880 Speaker 7: he said, in order for them to charge for first 733 00:41:40,920 --> 00:41:44,959 Speaker 7: degree premeditated, they would have to go to a grand jury. 734 00:41:45,000 --> 00:41:47,160 Speaker 7: If they decide that within a fourteen day period. 735 00:41:47,320 --> 00:41:49,680 Speaker 1: Boohoo. What's the problem with going to a grand jury? 736 00:41:49,719 --> 00:41:52,480 Speaker 1: It takes about five minutes. This needs to be a 737 00:41:52,520 --> 00:41:57,000 Speaker 1: death penalty case. Well, I mean, seriously, the man plans 738 00:41:57,160 --> 00:42:02,799 Speaker 1: out a very painful death for his wife while he's 739 00:42:02,840 --> 00:42:08,080 Speaker 1: allegedly having an affair, and that she rise in pain, 740 00:42:08,719 --> 00:42:12,799 Speaker 1: has dead necrotic tissue in her colon, has to have 741 00:42:12,840 --> 00:42:18,000 Speaker 1: part of her colon removed, otherwise completely healthy, while he's 742 00:42:18,200 --> 00:42:24,160 Speaker 1: looking up doubt medication online and buying sodium nitrate. If 743 00:42:24,200 --> 00:42:27,879 Speaker 1: this is not a death penalty case, what is? Who 744 00:42:27,920 --> 00:42:31,680 Speaker 1: made that decision? Charles? Who made the decision? Is this 745 00:42:31,760 --> 00:42:32,759 Speaker 1: going to be a DP or not? 746 00:42:33,520 --> 00:42:35,920 Speaker 7: We are not sure at the moment because of the 747 00:42:35,960 --> 00:42:39,000 Speaker 7: attorney's office will decide if they're going to go first three. 748 00:42:39,040 --> 00:42:41,239 Speaker 7: But they're just making sure if they do that, they 749 00:42:41,239 --> 00:42:43,480 Speaker 7: have all their ducks and rows so they can prove 750 00:42:43,560 --> 00:42:44,680 Speaker 7: that it was premeditated. 751 00:42:44,760 --> 00:42:46,440 Speaker 9: Pretty clearly premeditated. 752 00:42:46,560 --> 00:42:48,040 Speaker 1: Yes, who's this stage. 753 00:42:50,120 --> 00:42:50,319 Speaker 9: There? 754 00:42:50,880 --> 00:42:54,520 Speaker 1: I mean, you're right, you've got all the internet searches. Gee, 755 00:42:54,560 --> 00:42:57,239 Speaker 1: how do I kill my wife with culture, chine or 756 00:42:57,239 --> 00:43:01,680 Speaker 1: whatever it is, and then rights crap. Oh bit to boot, 757 00:43:01,800 --> 00:43:07,000 Speaker 1: Oh yeah, we wait as justice and false. Goodbye friend,