1 00:00:01,880 --> 00:00:04,880 Speaker 1: The public has had a long held fascination with detectives. 2 00:00:05,360 --> 00:00:08,039 Speaker 1: Detective sy aside of life, the average person is never 3 00:00:08,119 --> 00:00:11,080 Speaker 1: exposed her I spent thirty four years as a cop. 4 00:00:11,560 --> 00:00:14,040 Speaker 1: For twenty five of those years I was catching killers. 5 00:00:14,440 --> 00:00:16,200 Speaker 1: That's what I did for a living. I was a 6 00:00:16,200 --> 00:00:20,560 Speaker 1: homicide detective. I'm no longer just interviewing bad guys. Instead, 7 00:00:20,600 --> 00:00:23,120 Speaker 1: I'm taking the public into the world in which I operated. 8 00:00:23,840 --> 00:00:26,400 Speaker 1: The guests I talk to each week have amazing stories 9 00:00:26,440 --> 00:00:28,760 Speaker 1: from all sides of the law. The interviews are raw 10 00:00:28,800 --> 00:00:31,440 Speaker 1: and honest, just like the people I talk to. Some 11 00:00:31,600 --> 00:00:34,640 Speaker 1: of the content and language might be confronting. That's because 12 00:00:34,640 --> 00:00:37,640 Speaker 1: no one who comes into contact with crime is left unchanged. 13 00:00:38,159 --> 00:00:40,400 Speaker 1: Join me now as I take you into this world. 14 00:00:46,400 --> 00:00:49,400 Speaker 1: In part two of my chat with forensic pathologists Professor 15 00:00:49,400 --> 00:00:52,240 Speaker 1: of Roger by Art, we discuss the murder of twenty 16 00:00:52,280 --> 00:00:55,800 Speaker 1: one year old Jasmine Kor, who is buried alive, the 17 00:00:55,840 --> 00:00:59,440 Speaker 1: horrors of the Boxing Day tsunami, and the Balley bombings. 18 00:01:00,360 --> 00:01:03,440 Speaker 1: We also talked about the work Roger does that prevents 19 00:01:03,520 --> 00:01:06,080 Speaker 1: death and how Roger looks at the way we deal 20 00:01:06,120 --> 00:01:10,360 Speaker 1: with death. Roger, You've seen so much death, and I 21 00:01:10,400 --> 00:01:12,920 Speaker 1: was interested in a quote from yourself, and I'll just 22 00:01:12,920 --> 00:01:14,480 Speaker 1: read it out and get you to comment on that 23 00:01:14,520 --> 00:01:17,760 Speaker 1: if you could. I think that recognizing death as part 24 00:01:17,800 --> 00:01:21,200 Speaker 1: of life, as a transition is really important. It's something 25 00:01:21,280 --> 00:01:24,760 Speaker 1: we fail these days. We sanitize it. What do you 26 00:01:24,800 --> 00:01:26,120 Speaker 1: mean by those quotes. 27 00:01:26,760 --> 00:01:31,360 Speaker 2: We're frightened of death nowadays? I mean we've always been 28 00:01:31,360 --> 00:01:33,440 Speaker 2: frightened to death. But in the old days, I think 29 00:01:34,080 --> 00:01:37,040 Speaker 2: there was a lot more acceptance of death as part 30 00:01:37,040 --> 00:01:40,360 Speaker 2: of life. A lot of children died of diseases, and 31 00:01:40,400 --> 00:01:44,000 Speaker 2: the bodies weren't just whisked away and you know, cremated. 32 00:01:44,200 --> 00:01:46,920 Speaker 2: You'd lay the body out and have a wake. You'd 33 00:01:46,959 --> 00:01:50,600 Speaker 2: celebrate the person's existence. In the nineteenth century leads to 34 00:01:50,640 --> 00:01:52,800 Speaker 2: take photographs of the you, mum and dad dressed up 35 00:01:52,800 --> 00:01:56,000 Speaker 2: and the baby dead in a coffin as a memento. 36 00:01:56,800 --> 00:02:00,440 Speaker 2: And that's not creepy. That is just remember, bring the 37 00:02:00,480 --> 00:02:04,560 Speaker 2: person so that you've got some sort of token to 38 00:02:04,600 --> 00:02:07,560 Speaker 2: take with you. Whereas we just we don't talk about it. 39 00:02:08,320 --> 00:02:11,640 Speaker 2: We're more and more frightened of it. Whereas it is 40 00:02:11,720 --> 00:02:13,320 Speaker 2: part of life, it's going to happen to us all. 41 00:02:14,919 --> 00:02:17,240 Speaker 2: I went to a writer's Week in Adelaide, and they 42 00:02:17,240 --> 00:02:21,240 Speaker 2: were talking about death and they just weren't getting it. 43 00:02:21,280 --> 00:02:22,520 Speaker 2: And I just said, the last time I was in 44 00:02:22,560 --> 00:02:24,440 Speaker 2: the tent as big as this, as hot as this, 45 00:02:24,520 --> 00:02:26,840 Speaker 2: with as many bodies, it was Thailand, the tsunami, and 46 00:02:26,840 --> 00:02:29,560 Speaker 2: they're all dead, I said. And the tires had a 47 00:02:29,680 --> 00:02:33,760 Speaker 2: very The monks would wander around the bodies at night, chanting, 48 00:02:34,040 --> 00:02:36,919 Speaker 2: helping them on their paths. So there was an acceptance 49 00:02:37,040 --> 00:02:41,640 Speaker 2: that they could actually commemorate these people, which is something 50 00:02:41,639 --> 00:02:42,160 Speaker 2: we don't do. 51 00:02:42,880 --> 00:02:45,480 Speaker 1: And do you think that has a detrimental effect to 52 00:02:45,560 --> 00:02:48,040 Speaker 1: the way we deal with death? And I think so. 53 00:02:48,120 --> 00:02:52,600 Speaker 2: I think it's just we're becoming more and more sanitized 54 00:02:52,760 --> 00:02:55,280 Speaker 2: and more and more closed off. We're closing off from 55 00:02:55,320 --> 00:03:00,160 Speaker 2: human interaction with our computers and social media. Just the 56 00:03:00,680 --> 00:03:02,480 Speaker 2: I see people down the beach with their dog when 57 00:03:02,480 --> 00:03:04,280 Speaker 2: I take my dog for a walk, and they've got 58 00:03:04,360 --> 00:03:07,800 Speaker 2: headphones on. I mean, why not stand hard? You know, 59 00:03:07,919 --> 00:03:09,960 Speaker 2: what's the point of being down there? And they're not. 60 00:03:10,160 --> 00:03:12,760 Speaker 2: They're just focused on what they're listening to, probably your podcast. 61 00:03:13,000 --> 00:03:15,480 Speaker 1: Well, I was going to say, the one proviser there, 62 00:03:15,520 --> 00:03:20,000 Speaker 1: if I catch kill this podcast, they're doing well, But yeah, 63 00:03:20,320 --> 00:03:21,840 Speaker 1: I know what you're saying, and the fact that the 64 00:03:22,040 --> 00:03:26,960 Speaker 1: sanitized it where we're more aware of death and now 65 00:03:26,960 --> 00:03:29,320 Speaker 1: I look at it, it just gets push pushed away. 66 00:03:29,960 --> 00:03:32,400 Speaker 1: So in the work that you did, do you have 67 00:03:32,560 --> 00:03:36,280 Speaker 1: your colleagues that would support support the people that you 68 00:03:36,360 --> 00:03:40,280 Speaker 1: worked with, because I know in the homicide world sometimes 69 00:03:40,280 --> 00:03:42,640 Speaker 1: I couldn't go home and talk about what we've seen 70 00:03:43,040 --> 00:03:45,560 Speaker 1: or done that your colleagues you do brief Did you 71 00:03:45,600 --> 00:03:47,080 Speaker 1: have that support from colleagues. 72 00:03:48,160 --> 00:03:51,720 Speaker 2: It's interesting. We were talking earlier just about how you 73 00:03:51,760 --> 00:03:54,280 Speaker 2: deal with cases, and you know, I was saying, you 74 00:03:54,360 --> 00:03:56,200 Speaker 2: focus on the science. I remember one case of a 75 00:03:56,200 --> 00:03:59,880 Speaker 2: little boy who had been punched by the de facto boyfriend, 76 00:04:00,040 --> 00:04:03,160 Speaker 2: and this fellow had actually videoed this little boy dying, 77 00:04:03,760 --> 00:04:05,800 Speaker 2: that's how bad it was. But when I opened his abdomen, 78 00:04:06,320 --> 00:04:10,240 Speaker 2: I got this stench of you know, rotting parisanaitis, and 79 00:04:10,720 --> 00:04:12,960 Speaker 2: I brought tears in my eyes. I was just leaning 80 00:04:13,000 --> 00:04:15,080 Speaker 2: over and I was sort of just I had to 81 00:04:15,160 --> 00:04:18,400 Speaker 2: actually put that behind me. I was seeing the big picture. 82 00:04:18,600 --> 00:04:20,400 Speaker 2: I had to focus on what I was doing. And 83 00:04:20,520 --> 00:04:22,960 Speaker 2: what had happened is that he'd been punched really forcefully 84 00:04:23,160 --> 00:04:26,200 Speaker 2: and his intestines had ruptured, so they'd torn, so all 85 00:04:26,200 --> 00:04:29,880 Speaker 2: the contents gets into the abdominal cavity causes this really 86 00:04:30,960 --> 00:04:35,520 Speaker 2: vile inflammatory action, and so that was the smell and 87 00:04:35,640 --> 00:04:40,080 Speaker 2: talking to my colleagues as well. When I had Jasmine 88 00:04:40,200 --> 00:04:42,560 Speaker 2: and I found all the soil and the upper airway, 89 00:04:42,839 --> 00:04:44,680 Speaker 2: I called my colleagues in to have a look at it, 90 00:04:44,680 --> 00:04:46,919 Speaker 2: and they still told me that they're shattered by just 91 00:04:46,920 --> 00:04:51,120 Speaker 2: just seeing that. But we it's like soldiers in the trenches, 92 00:04:51,440 --> 00:04:55,000 Speaker 2: like police. You know your colleagues know what you're going through, 93 00:04:55,040 --> 00:04:57,839 Speaker 2: and you can talk to them. I went to see 94 00:04:57,839 --> 00:05:01,480 Speaker 2: a counselor after Jasmine. The manager said, you really need 95 00:05:01,480 --> 00:05:04,039 Speaker 2: to get this scene too, because I was I was 96 00:05:04,160 --> 00:05:06,159 Speaker 2: going to bed at night thinking over I was waking 97 00:05:06,200 --> 00:05:08,039 Speaker 2: up in the morning and at the end of the 98 00:05:08,040 --> 00:05:10,279 Speaker 2: council said, I said, well, you know, I just wanted 99 00:05:10,520 --> 00:05:12,200 Speaker 2: some techniques of getting this out of my head. And 100 00:05:12,200 --> 00:05:15,039 Speaker 2: she said, it's very difficult, isn't it. You told me 101 00:05:15,080 --> 00:05:15,800 Speaker 2: something I don't know. 102 00:05:17,839 --> 00:05:22,919 Speaker 1: You've mentioned that Jazz main call and obviously it plays 103 00:05:22,920 --> 00:05:25,880 Speaker 1: on you pretty heavily. Can you tell us about that case? 104 00:05:25,880 --> 00:05:27,520 Speaker 1: The details of that case. 105 00:05:28,240 --> 00:05:30,719 Speaker 2: I can because it's gone through the courts, And he 106 00:05:30,760 --> 00:05:34,400 Speaker 2: pleaded guilty. So she was a really lovely young Punjabi 107 00:05:34,520 --> 00:05:36,960 Speaker 2: woman who's working in a nursing home and she'd had 108 00:05:37,000 --> 00:05:40,200 Speaker 2: a relationship with a young Indian fellow and had told 109 00:05:40,279 --> 00:05:42,760 Speaker 2: him very nicely that she liked him, but he wasn't 110 00:05:42,800 --> 00:05:45,400 Speaker 2: the one for her, and so he just flipped out 111 00:05:45,520 --> 00:05:49,320 Speaker 2: and the day before went to Bunnings on CTV footage 112 00:05:49,360 --> 00:05:53,440 Speaker 2: buying cable ties a shovel. It was so well thought out, 113 00:05:53,480 --> 00:05:55,760 Speaker 2: was so stupid. He gave a mate his car with 114 00:05:55,800 --> 00:05:57,880 Speaker 2: his phone in it to go south when he was 115 00:05:57,960 --> 00:06:00,480 Speaker 2: kidnapping her from her workplace, tied up, put her in 116 00:06:00,480 --> 00:06:04,440 Speaker 2: the boot, drove around for five hours. Yeah, and a 117 00:06:04,520 --> 00:06:06,320 Speaker 2: lot of terror for her. Imagine what it was like 118 00:06:06,480 --> 00:06:09,240 Speaker 2: five hours in the boot, and then took her up 119 00:06:09,279 --> 00:06:13,360 Speaker 2: north and dug her grave and put her in it 120 00:06:13,400 --> 00:06:17,880 Speaker 2: and buried her alive. It's most horrific thing that I've 121 00:06:18,160 --> 00:06:18,880 Speaker 2: ever come across. 122 00:06:19,000 --> 00:06:21,400 Speaker 1: Yeah, I'm just comprehending what you've. 123 00:06:22,160 --> 00:06:24,839 Speaker 2: I'm outraged by it. Yeah, there were no drugs. She 124 00:06:24,880 --> 00:06:28,880 Speaker 2: did never hit injury, so she was completely conscious. 125 00:06:28,920 --> 00:06:32,960 Speaker 1: The examination when you examined her body, did you find 126 00:06:33,000 --> 00:06:34,120 Speaker 1: this out at the time. 127 00:06:34,240 --> 00:06:35,960 Speaker 2: Well, it's interesting because she had some cuts on the 128 00:06:36,000 --> 00:06:37,720 Speaker 2: side of her neck that I thought, as I said, 129 00:06:37,800 --> 00:06:39,960 Speaker 2: were the cause her death. But then we found the 130 00:06:40,279 --> 00:06:42,320 Speaker 2: soil and yes. 131 00:06:42,160 --> 00:06:44,560 Speaker 1: It was just then the soul was in her. 132 00:06:44,960 --> 00:06:48,760 Speaker 2: In her right down into her, and she also swallowed 133 00:06:48,760 --> 00:06:52,839 Speaker 2: some as well. It's the only time I've been to 134 00:06:53,160 --> 00:06:56,680 Speaker 2: a sentencing because I didn't get a chance to see 135 00:06:56,720 --> 00:06:59,239 Speaker 2: him in court because he pleaded guilty. So I wanted 136 00:06:59,240 --> 00:07:02,160 Speaker 2: to actually just look at him and just see what 137 00:07:02,200 --> 00:07:05,560 Speaker 2: sort of monster this was. And he looks so ordinary, 138 00:07:05,640 --> 00:07:07,360 Speaker 2: He looks so bernal, you. 139 00:07:07,320 --> 00:07:10,160 Speaker 1: Know, and that's funny. But that can freak you out 140 00:07:10,200 --> 00:07:12,400 Speaker 1: more than if you're looking for this monster. 141 00:07:12,400 --> 00:07:14,400 Speaker 2: I want to see Charles Manson, Yeah, that would have 142 00:07:14,400 --> 00:07:15,920 Speaker 2: made you want to see that understandable. 143 00:07:16,000 --> 00:07:19,320 Speaker 1: Yeah, what is it about that particular case that stuck 144 00:07:19,360 --> 00:07:20,600 Speaker 1: with you so heavily. 145 00:07:21,240 --> 00:07:23,920 Speaker 2: I think that she was just such a sweet, young, 146 00:07:23,960 --> 00:07:26,200 Speaker 2: innocent She was over here, she only had a mum 147 00:07:26,320 --> 00:07:28,440 Speaker 2: in India. She was staying with her uncles, so he 148 00:07:28,480 --> 00:07:31,880 Speaker 2: would feel responsibility for it. Her mother's lost her only child. 149 00:07:34,640 --> 00:07:36,960 Speaker 2: It's just there's nothing good about that story. 150 00:07:36,920 --> 00:07:41,320 Speaker 1: Now I can what can you say? She had come 151 00:07:41,360 --> 00:07:46,040 Speaker 1: from India, But you did some interesting work again, horrific 152 00:07:46,480 --> 00:07:49,560 Speaker 1: work stemming from a conference that you attended over in 153 00:07:49,560 --> 00:07:52,160 Speaker 1: India and you came into contact with someone about the 154 00:07:53,000 --> 00:07:54,840 Speaker 1: acid attacks on women in India. 155 00:07:55,000 --> 00:07:59,120 Speaker 2: Yeah, pret Core is a she's a PhD lawyer, academic 156 00:07:59,160 --> 00:08:02,760 Speaker 2: and she co founded the Lasmi Foundation, which is a 157 00:08:02,800 --> 00:08:08,040 Speaker 2: foundation for acid attack victims. And acid attacks are very 158 00:08:08,040 --> 00:08:11,400 Speaker 2: common in India. Acid so furry gasid particularly is very cheap. 159 00:08:11,480 --> 00:08:14,000 Speaker 2: They use it in the cleaning drains, they use it 160 00:08:14,040 --> 00:08:21,200 Speaker 2: for cleaning equipment. And it's usually a spurned lover or 161 00:08:21,240 --> 00:08:26,600 Speaker 2: a jealous male and to get his revenge, he throws 162 00:08:26,640 --> 00:08:29,360 Speaker 2: acid on these young women's faces. Only four percent of 163 00:08:29,400 --> 00:08:33,600 Speaker 2: them die, but they're completely disfigured. They often go blind 164 00:08:33,760 --> 00:08:36,800 Speaker 2: because their eyes have been burnt. They can't breathe because 165 00:08:36,800 --> 00:08:38,959 Speaker 2: their nose is gone. They can't hear because the ear 166 00:08:39,000 --> 00:08:41,839 Speaker 2: canals are gone. They may have tremendous deformity, so they 167 00:08:41,840 --> 00:08:47,760 Speaker 2: can't speak or eat properly. They look horrific. So this 168 00:08:48,080 --> 00:08:51,800 Speaker 2: person has condemned them to a life of suffering pain 169 00:08:51,920 --> 00:08:55,280 Speaker 2: medical procedures. Sometimes their families shun them because they can't 170 00:08:55,280 --> 00:08:56,880 Speaker 2: afford to support them, or they just don't want them 171 00:08:56,880 --> 00:08:57,720 Speaker 2: as part of the family. 172 00:08:58,480 --> 00:08:59,559 Speaker 1: Shun the victim. 173 00:09:00,760 --> 00:09:02,520 Speaker 2: I wanted to do a study with Navpret on the 174 00:09:02,520 --> 00:09:05,000 Speaker 2: suicide rate in these women, but of course there's no 175 00:09:05,440 --> 00:09:10,880 Speaker 2: data there. But what these organizations are doing, like the 176 00:09:10,960 --> 00:09:14,840 Speaker 2: Laxmi Foundation, they've got a Shiro's Cafe in Agra. These 177 00:09:14,880 --> 00:09:17,679 Speaker 2: young women actually front the cafe. They serve and they 178 00:09:17,679 --> 00:09:20,400 Speaker 2: work there and they put themselves right out in front 179 00:09:20,440 --> 00:09:23,480 Speaker 2: of you know, it's remarkable. I did meet the young 180 00:09:23,520 --> 00:09:26,120 Speaker 2: woman need To who was the subject of a film 181 00:09:26,160 --> 00:09:28,959 Speaker 2: as a director in Melbourne, who did this film called 182 00:09:29,000 --> 00:09:32,960 Speaker 2: Geta because kneed To, Her sister and her mother were 183 00:09:32,960 --> 00:09:36,200 Speaker 2: asset attacked by her father because there were no boys 184 00:09:36,200 --> 00:09:41,000 Speaker 2: in the family and knit Too's got tremendous scarngh a 185 00:09:41,120 --> 00:09:44,160 Speaker 2: very poor vision, but it's interesting. Aw for about half 186 00:09:44,160 --> 00:09:46,280 Speaker 2: an hour with her, you don't see the scars. 187 00:09:46,840 --> 00:09:47,040 Speaker 1: You know. 188 00:09:47,120 --> 00:09:49,360 Speaker 2: Resilience is a word that's abused. She is one of 189 00:09:49,360 --> 00:09:51,880 Speaker 2: the most resilient people I've known. And again it comes 190 00:09:51,920 --> 00:09:54,679 Speaker 2: back to why you do forensic pathology. It's such a 191 00:09:54,720 --> 00:09:58,760 Speaker 2: privilege to be able to meet with these people and 192 00:09:58,880 --> 00:10:01,000 Speaker 2: to try and help. So what Gravpret and I do 193 00:10:01,120 --> 00:10:03,680 Speaker 2: is we've written a number of papers for the medical 194 00:10:03,679 --> 00:10:07,839 Speaker 2: community on asset attacks on dowry deaths, you know, people 195 00:10:07,840 --> 00:10:12,920 Speaker 2: being murdered for their dowries, on child labor, all sorts 196 00:10:12,920 --> 00:10:15,600 Speaker 2: of sort of human rights abuses that occurring in India. Now, 197 00:10:16,200 --> 00:10:18,120 Speaker 2: what right do I have to do to do that? 198 00:10:18,559 --> 00:10:21,959 Speaker 2: Navpret's got the information and we work together very well 199 00:10:22,480 --> 00:10:24,040 Speaker 2: disseminating it, letting people. 200 00:10:23,920 --> 00:10:26,520 Speaker 1: Know, okay, to get that get that story out again. 201 00:10:26,600 --> 00:10:29,240 Speaker 1: Preventative And how prevalent is it? 202 00:10:29,360 --> 00:10:32,680 Speaker 2: Like extremely prevalent. There are thousands of cases of this 203 00:10:32,760 --> 00:10:37,360 Speaker 2: in Pakistan and Bangladesh and India, and it happens all 204 00:10:37,360 --> 00:10:40,200 Speaker 2: over the world. It's in the UK it's called face 205 00:10:40,280 --> 00:10:42,760 Speaker 2: melting and it's often often rival gangs who do it 206 00:10:42,800 --> 00:10:44,920 Speaker 2: to each other. So bloke, So it's not it doesn't 207 00:10:44,960 --> 00:10:46,440 Speaker 2: have that sort of sexual element. 208 00:10:46,600 --> 00:10:47,880 Speaker 1: No, it's brutal. 209 00:10:48,320 --> 00:10:50,079 Speaker 2: It's it's a palling. 210 00:10:50,320 --> 00:10:53,440 Speaker 1: The fact that it's happening over in India. So prevalent 211 00:10:53,480 --> 00:10:56,360 Speaker 1: there is it almost a cultural thing that the education 212 00:10:56,520 --> 00:10:58,000 Speaker 1: you've you've got to change the narrative. 213 00:10:58,360 --> 00:11:00,680 Speaker 2: That's exactly right. And what navpreta since they go around 214 00:11:00,679 --> 00:11:04,120 Speaker 2: the schools and she once sent me a text and 215 00:11:04,160 --> 00:11:05,920 Speaker 2: it would I like to write a paper about menstruation? 216 00:11:06,120 --> 00:11:10,400 Speaker 2: So I texted back in two pico seconds. No, but 217 00:11:10,440 --> 00:11:12,760 Speaker 2: then she started telling me that you eighteen percent of 218 00:11:12,840 --> 00:11:16,760 Speaker 2: women in India have access to sanitary products. They're using 219 00:11:17,120 --> 00:11:21,880 Speaker 2: newspapers and leaves, and so we wrote that paper to 220 00:11:21,960 --> 00:11:24,920 Speaker 2: draw attention to it so that the authorities can then 221 00:11:26,040 --> 00:11:27,439 Speaker 2: do thing. I mean, the boys and girls don't have 222 00:11:27,480 --> 00:11:29,680 Speaker 2: separate toilets, but they are going to the schools and 223 00:11:29,720 --> 00:11:32,240 Speaker 2: they're trying to educate the youth, because that's the way 224 00:11:32,280 --> 00:11:36,560 Speaker 2: to go about just treating people with respect and giving 225 00:11:36,559 --> 00:11:37,000 Speaker 2: people a go. 226 00:11:37,480 --> 00:11:39,800 Speaker 1: Roger, where do you find the time and the passion 227 00:11:39,920 --> 00:11:42,000 Speaker 1: to pursue these things? 228 00:11:42,520 --> 00:11:45,880 Speaker 2: Well, I don't sleep, okay, well's yeah, no, I've worked out. 229 00:11:45,960 --> 00:11:48,280 Speaker 2: Actually recently, I've worked more than sixty hours a week 230 00:11:48,320 --> 00:11:51,920 Speaker 2: for four decades. I'm a bit tired. 231 00:11:53,360 --> 00:11:57,200 Speaker 1: You can happen that after we've finish. Happened that. But look, 232 00:11:57,400 --> 00:11:59,440 Speaker 1: if you're doing a job that you're passionate about, it's 233 00:11:59,440 --> 00:12:00,000 Speaker 1: not like working. 234 00:12:00,280 --> 00:12:01,920 Speaker 2: It's not working. That's what my boss is to say. 235 00:12:01,920 --> 00:12:03,800 Speaker 2: If they pay you for doing stuff you like, then 236 00:12:03,920 --> 00:12:04,600 Speaker 2: you know you win. 237 00:12:05,040 --> 00:12:08,200 Speaker 1: Have there been any good role models that you've learned 238 00:12:08,240 --> 00:12:09,160 Speaker 1: a lot from. 239 00:12:10,040 --> 00:12:14,920 Speaker 2: A couple not pathologists actually, but my first mentor in 240 00:12:15,200 --> 00:12:17,240 Speaker 2: Ottawa when I was training in pathology was a blow 241 00:12:17,240 --> 00:12:20,640 Speaker 2: called Irving Dartik. I did research term with him and 242 00:12:20,360 --> 00:12:22,400 Speaker 2: he said, you know what I want is I want 243 00:12:22,400 --> 00:12:24,679 Speaker 2: my students to do better than me, and he meant that. 244 00:12:25,160 --> 00:12:30,240 Speaker 2: And another fellow Grant Sutherland, he's a geneticist. He climbed 245 00:12:30,280 --> 00:12:33,360 Speaker 2: the fragile extremee. I personally think he was in line 246 00:12:33,360 --> 00:12:35,920 Speaker 2: for a Nobel prize. But once he had achieved what 247 00:12:35,960 --> 00:12:38,880 Speaker 2: he wanted to achieve, he retired and started up a 248 00:12:38,920 --> 00:12:43,800 Speaker 2: small farm. A man very happy with himself. But also 249 00:12:44,280 --> 00:12:49,880 Speaker 2: just shows you you don't have to be toxic to 250 00:12:49,880 --> 00:12:52,480 Speaker 2: get to the top. You know, if you treat people properly, 251 00:12:52,520 --> 00:12:55,679 Speaker 2: you can still mentor people and encourage people. And that's 252 00:12:55,679 --> 00:12:57,600 Speaker 2: the way, and that's those two are being great. 253 00:12:57,760 --> 00:13:01,280 Speaker 1: It's good to have those type of role models or 254 00:13:01,280 --> 00:13:04,040 Speaker 1: people that you can learn things from. What's the messaging 255 00:13:04,200 --> 00:13:06,600 Speaker 1: you give when you're teaching people that are starting out 256 00:13:06,640 --> 00:13:08,800 Speaker 1: in the field that you're worked in. What's the type 257 00:13:08,800 --> 00:13:10,119 Speaker 1: of message you would pass. 258 00:13:09,880 --> 00:13:14,480 Speaker 2: On give up now you've got a chance. No, I 259 00:13:14,520 --> 00:13:18,400 Speaker 2: tell them that it's if you're going to do You've 260 00:13:18,440 --> 00:13:21,840 Speaker 2: only got one shot at life. And so you know, 261 00:13:22,200 --> 00:13:24,120 Speaker 2: you've got to do stuff that you enjoy doing, and 262 00:13:24,120 --> 00:13:27,480 Speaker 2: that's important. I mean, it may be flower ranging, if 263 00:13:27,520 --> 00:13:30,000 Speaker 2: it's important to you and you do it well, excellent. 264 00:13:30,920 --> 00:13:33,840 Speaker 2: My boss's retired now in forensics, so he hadn't written 265 00:13:33,840 --> 00:13:35,520 Speaker 2: a paper in his life, but he's a very good fisherman, 266 00:13:35,920 --> 00:13:38,040 Speaker 2: and so I respected his fishing prowss. 267 00:13:38,120 --> 00:13:38,360 Speaker 1: You know. 268 00:13:38,400 --> 00:13:40,160 Speaker 2: So it doesn't matter what you do, just as long 269 00:13:40,160 --> 00:13:41,720 Speaker 2: as you do it with enjoyment. 270 00:13:42,280 --> 00:13:45,920 Speaker 1: Is compassion an important part of the type of work 271 00:13:45,920 --> 00:13:46,320 Speaker 1: that you do. 272 00:13:46,840 --> 00:13:50,560 Speaker 2: I think, yes, you've got to have credibility and you've 273 00:13:50,559 --> 00:13:55,240 Speaker 2: got to have compassion. If you don't feel the need 274 00:13:56,000 --> 00:13:58,000 Speaker 2: to help people, then you should be in something else. 275 00:13:58,000 --> 00:13:59,880 Speaker 2: And I think this is part of the problem with medicine. 276 00:14:00,240 --> 00:14:02,440 Speaker 2: It's one of the reasons I got out of clinical medicine. 277 00:14:02,480 --> 00:14:04,920 Speaker 2: It's becoming a bit of a factory, you know, to 278 00:14:04,960 --> 00:14:08,480 Speaker 2: make a few extra bucks to put your kids from 279 00:14:08,520 --> 00:14:11,439 Speaker 2: your third family through private school and buy another Mercedes. 280 00:14:11,720 --> 00:14:14,400 Speaker 2: You well, not not using caricat. 281 00:14:14,880 --> 00:14:18,959 Speaker 1: I understand exactly what you're saying, but credibility and compassion, 282 00:14:19,520 --> 00:14:22,200 Speaker 1: you do need that combination. Because I think we've all 283 00:14:22,560 --> 00:14:26,400 Speaker 1: gone to get medical advice and there's someone that they've 284 00:14:26,400 --> 00:14:28,840 Speaker 1: got the academic skills, they've got the science, but the 285 00:14:28,840 --> 00:14:31,680 Speaker 1: delivery of the message is yeah, it's not what I need. 286 00:14:32,200 --> 00:14:35,440 Speaker 1: If someone's are the important part talking about their health 287 00:14:35,520 --> 00:14:38,480 Speaker 1: or their future, you need someone that's got the compassion 288 00:14:38,560 --> 00:14:42,360 Speaker 1: understanding then can deliver the message. Because I think the 289 00:14:42,480 --> 00:14:45,280 Speaker 1: days are going where we put the same for policing, 290 00:14:45,320 --> 00:14:47,480 Speaker 1: but for doctors, where they're put on the pedestal and 291 00:14:47,800 --> 00:14:50,400 Speaker 1: we never question. You go see your local doctor growing 292 00:14:50,480 --> 00:14:52,960 Speaker 1: up and Okay, that's what the doctor said, that's what 293 00:14:53,000 --> 00:14:57,440 Speaker 1: you do. But it's readily available on the internet that 294 00:14:57,560 --> 00:15:01,080 Speaker 1: doctor Google. Well, doctor Google diagnosed yourself, so they can question. 295 00:15:01,160 --> 00:15:03,200 Speaker 1: But you need that communication skill. 296 00:15:03,800 --> 00:15:04,720 Speaker 2: Yeah, I agree. 297 00:15:05,160 --> 00:15:08,960 Speaker 1: I'm going to talk about the two thousand and four tsunami, 298 00:15:09,240 --> 00:15:12,920 Speaker 1: which Asian tsunami. I remember it was a horrific, horrific 299 00:15:13,000 --> 00:15:16,400 Speaker 1: day and hundreds of thousands of people were killed as 300 00:15:16,440 --> 00:15:20,440 Speaker 1: a result of that. What was your role in responding 301 00:15:20,480 --> 00:15:20,760 Speaker 1: to that. 302 00:15:21,080 --> 00:15:23,120 Speaker 2: I didn't think i'd be asked to go, but I 303 00:15:23,120 --> 00:15:25,800 Speaker 2: went in the second rotation, so I was there in 304 00:15:25,840 --> 00:15:30,000 Speaker 2: the second week. And essentially because of the AFP's experience 305 00:15:30,080 --> 00:15:33,560 Speaker 2: with Australian Federal Police experience with the balley bombings. The 306 00:15:33,760 --> 00:15:39,080 Speaker 2: ties were working with them. The ties were excellent. They 307 00:15:39,200 --> 00:15:45,080 Speaker 2: really did an amazing job. But essentially, teams would come 308 00:15:45,120 --> 00:15:48,040 Speaker 2: over basically the body to be brought in. You would 309 00:15:48,080 --> 00:15:54,920 Speaker 2: do examinations, not full autopsies, just adult male tattoo, dental examination, 310 00:15:55,320 --> 00:15:58,840 Speaker 2: DNA fingerprints, and then compare it to people who are 311 00:15:58,880 --> 00:16:00,960 Speaker 2: known to be in the area. Part of the problem 312 00:16:01,000 --> 00:16:02,920 Speaker 2: is I wrote a paper and I called it DVII 313 00:16:03,040 --> 00:16:08,320 Speaker 2: tourism because so many teams arrive around the world, around 314 00:16:08,360 --> 00:16:10,680 Speaker 2: the world, and you know, they have to be accommodated, 315 00:16:10,720 --> 00:16:14,320 Speaker 2: they have to be fed. Sometimes their language is not English. 316 00:16:14,480 --> 00:16:18,080 Speaker 2: So you know, I always said, when I was on 317 00:16:18,200 --> 00:16:20,280 Speaker 2: the state, dv I commit the first thing I would 318 00:16:20,280 --> 00:16:22,960 Speaker 2: do is put signs around the state saying keep out. 319 00:16:23,560 --> 00:16:25,960 Speaker 2: Take forty eight hours just to work out how we 320 00:16:25,960 --> 00:16:29,680 Speaker 2: were going to do it. Processes, yeah, hasten slowly. 321 00:16:29,680 --> 00:16:33,200 Speaker 1: Because I'm trying to comprehend. And if you could paint 322 00:16:33,240 --> 00:16:35,760 Speaker 1: a picture, you know, when we're talking hundreds of thousands 323 00:16:35,760 --> 00:16:39,120 Speaker 1: of people killed, and yeah, we all saw the images 324 00:16:39,160 --> 00:16:41,640 Speaker 1: of the waves washing in the floods and the sharp 325 00:16:41,680 --> 00:16:46,000 Speaker 1: metal floating around that people drowning. People have horrendous injuries. 326 00:16:46,280 --> 00:16:48,680 Speaker 1: It's in the tropics, so a body is going to 327 00:16:48,680 --> 00:16:53,560 Speaker 1: decompose very quickly. I would imagine what were the processes 328 00:16:53,600 --> 00:16:55,880 Speaker 1: that were put in place to and the purpose of 329 00:16:55,920 --> 00:16:58,800 Speaker 1: it was to identify as many people. That's correct, you 330 00:16:58,840 --> 00:17:02,920 Speaker 1: weren't going there. This person died specifically that it was 331 00:17:03,120 --> 00:17:06,800 Speaker 1: identifying the bodies. So what were the processes that were 332 00:17:06,800 --> 00:17:07,200 Speaker 1: put in. 333 00:17:07,160 --> 00:17:11,040 Speaker 2: Place identifying and repatriating. Well, in Thailand, the bodies were 334 00:17:11,040 --> 00:17:17,400 Speaker 2: brought into Buddhist temples because they had space to put containers, 335 00:17:17,480 --> 00:17:22,960 Speaker 2: freeze and frozen containers, and the the Thai troops volunteered 336 00:17:22,960 --> 00:17:25,359 Speaker 2: to work on it, so you'd have the bodies and 337 00:17:25,400 --> 00:17:30,280 Speaker 2: the containers. They'd be wheeled out. They were spraying all 338 00:17:30,400 --> 00:17:36,359 Speaker 2: this stuff around to reduce decomposition and everything. And my 339 00:17:36,440 --> 00:17:38,600 Speaker 2: mortuary tendant was really worried about this stuff and I said, 340 00:17:38,600 --> 00:17:41,480 Speaker 2: I don't worry about it's probably water. And he said 341 00:17:41,480 --> 00:17:44,720 Speaker 2: one day said look, the naggots are dead. And I said, oh, 342 00:17:44,960 --> 00:17:47,159 Speaker 2: nothing kills makets. You can freeze them. And so I 343 00:17:47,200 --> 00:17:49,399 Speaker 2: went out and these folks from their full suits spraying 344 00:17:49,400 --> 00:17:52,320 Speaker 2: around and I said, what is this stuff? No idea, 345 00:17:52,359 --> 00:17:54,520 Speaker 2: but it really works, so God knows what. 346 00:17:54,480 --> 00:17:58,760 Speaker 1: We were exposed to could be the age and orange probably. 347 00:17:59,359 --> 00:18:01,280 Speaker 2: So anyway, the body would come in and they would 348 00:18:01,560 --> 00:18:05,000 Speaker 2: they'd be fingerprinted by police officers. They'd come to us 349 00:18:05,240 --> 00:18:10,000 Speaker 2: and we would do the identification and detail what we thought. 350 00:18:10,000 --> 00:18:12,880 Speaker 2: Then they would go to the dental people and we'd 351 00:18:12,880 --> 00:18:15,240 Speaker 2: take specimens of DNA and so we put all that 352 00:18:15,280 --> 00:18:18,840 Speaker 2: together and yeah, they'd be found in areas of tourist hotels, 353 00:18:18,880 --> 00:18:23,199 Speaker 2: so we'd have a list of people. So that's the 354 00:18:23,400 --> 00:18:25,159 Speaker 2: then you get the anti modern stuff from them. And 355 00:18:25,200 --> 00:18:27,120 Speaker 2: we developed the system there too, which was rather than 356 00:18:27,160 --> 00:18:30,439 Speaker 2: just identifying each body on its own, we started to 357 00:18:30,480 --> 00:18:34,000 Speaker 2: identify children against identified parents, so that you know, you 358 00:18:34,000 --> 00:18:36,040 Speaker 2: had the parents' DNA in the database and the children 359 00:18:36,080 --> 00:18:40,840 Speaker 2: you can actually identify through that. But it's a lot 360 00:18:40,840 --> 00:18:44,440 Speaker 2: of interesting things happened. And I wrote a paper recently 361 00:18:44,600 --> 00:18:48,160 Speaker 2: called Hiding in Plane Sight, and I was just talking 362 00:18:48,200 --> 00:18:52,200 Speaker 2: about how best to hide a homicide if you can 363 00:18:52,200 --> 00:18:54,920 Speaker 2: put the body amongst others. And I was called out 364 00:18:54,920 --> 00:18:57,120 Speaker 2: the back and there was a coffin under a whole 365 00:18:57,119 --> 00:18:59,480 Speaker 2: part of other coffins full of rotting bodies and they'd 366 00:18:59,480 --> 00:19:01,960 Speaker 2: taken those and there was the body of a young 367 00:19:02,000 --> 00:19:05,600 Speaker 2: woman that was fresh and so clearly she didn't die 368 00:19:05,640 --> 00:19:07,879 Speaker 2: in the sin, but in three days she would have 369 00:19:07,880 --> 00:19:10,280 Speaker 2: been writting like the rest. So handed her over to 370 00:19:10,320 --> 00:19:13,359 Speaker 2: the tire authorities. But I was talking about the blitz 371 00:19:13,400 --> 00:19:15,119 Speaker 2: in London. I think the crime rate went up like 372 00:19:15,160 --> 00:19:18,240 Speaker 2: forty seven percent. How easy would it be to follow 373 00:19:18,280 --> 00:19:19,800 Speaker 2: somebody home from the pub, hit them on the head, 374 00:19:19,880 --> 00:19:21,040 Speaker 2: chuck them into a bomb site. 375 00:19:21,800 --> 00:19:25,720 Speaker 1: I'm starting the wonder about you, Roger. You've come up 376 00:19:25,760 --> 00:19:30,040 Speaker 1: with you're obviously thinking too much about to get away 377 00:19:30,040 --> 00:19:32,960 Speaker 1: with murder. Yeah, well this I catch Killers. That's the 378 00:19:33,000 --> 00:19:33,760 Speaker 1: name of the podcast. 379 00:19:34,640 --> 00:19:35,480 Speaker 2: So I'm on your radar. 380 00:19:35,800 --> 00:19:40,680 Speaker 1: Yeah I've got another case. Yeah, I looking at that. 381 00:19:40,800 --> 00:19:43,560 Speaker 1: With what you're saying with the body body turning up there, 382 00:19:43,560 --> 00:19:47,560 Speaker 1: what a golden opportunity. You talked about the monks walking 383 00:19:47,600 --> 00:19:50,560 Speaker 1: around and that, and then dealing dealing with death. What 384 00:19:50,680 --> 00:19:52,560 Speaker 1: was I'm trying to get the sense of what the 385 00:19:52,600 --> 00:19:55,720 Speaker 1: feeling was for everyone involved in that, because it must 386 00:19:55,720 --> 00:19:56,080 Speaker 1: have been. 387 00:19:56,840 --> 00:20:00,400 Speaker 2: It was er, it was horrific. What the Tie did 388 00:20:00,400 --> 00:20:03,560 Speaker 2: at one stage is they had a ceremony to honor 389 00:20:03,600 --> 00:20:06,280 Speaker 2: the two thousand dead at Carlak and they diverted planes 390 00:20:06,280 --> 00:20:09,480 Speaker 2: around this so you had a whole stadium of monks 391 00:20:09,720 --> 00:20:12,800 Speaker 2: and we're on an oval with candles, and they had 392 00:20:12,840 --> 00:20:16,840 Speaker 2: these rice paper lanterns, each one representing one person that 393 00:20:16,880 --> 00:20:19,399 Speaker 2: they let go into the sky. It was you can 394 00:20:19,440 --> 00:20:21,199 Speaker 2: see it on the internet. It was like the Milky 395 00:20:21,240 --> 00:20:24,080 Speaker 2: Way overhead. It was the most beautiful thing I've ever 396 00:20:24,119 --> 00:20:26,600 Speaker 2: seen with the chanting. And yet the next day you 397 00:20:26,640 --> 00:20:31,760 Speaker 2: go back to basically trucks pulling up and just decomposed 398 00:20:31,760 --> 00:20:34,359 Speaker 2: bodies being being pulled out of them, hundreds and hundreds 399 00:20:34,359 --> 00:20:37,120 Speaker 2: and hundreds of them. 400 00:20:37,680 --> 00:20:38,879 Speaker 1: How did it impact on you? 401 00:20:39,600 --> 00:20:41,760 Speaker 2: I found it really difficult the first day I got there. 402 00:20:41,800 --> 00:20:45,160 Speaker 2: That the smell was extraordinary, the heat, the humidity. Yeah, 403 00:20:45,320 --> 00:20:47,680 Speaker 2: I as I said, I was offered the second chance 404 00:20:47,680 --> 00:20:49,440 Speaker 2: to go back the second time. Some people went back 405 00:20:49,480 --> 00:20:53,080 Speaker 2: five times. I couldn't do it. And I used to 406 00:20:53,119 --> 00:20:57,320 Speaker 2: get quite emotional when I saw people's presentations on Thailand 407 00:20:57,400 --> 00:20:58,520 Speaker 2: showing the pictures. 408 00:20:59,280 --> 00:21:00,280 Speaker 1: You know have. 409 00:21:02,480 --> 00:21:09,639 Speaker 2: A family member, you know, in their bathers with their child. 410 00:21:09,800 --> 00:21:12,320 Speaker 2: And I remember when one father was he knew that 411 00:21:12,400 --> 00:21:15,600 Speaker 2: we had his child, but the child hadn't gone through 412 00:21:15,640 --> 00:21:18,520 Speaker 2: the formal process of identifications. They couldn't be released, so 413 00:21:18,600 --> 00:21:21,760 Speaker 2: he was beside himself with anger. As you can imagine, 414 00:21:21,920 --> 00:21:25,520 Speaker 2: my little boy he is in there. There was one picture, 415 00:21:25,520 --> 00:21:29,280 Speaker 2: because the tires got boards, you could put pictures up 416 00:21:29,359 --> 00:21:32,400 Speaker 2: of your loved ones, and there was one little boy 417 00:21:32,400 --> 00:21:35,000 Speaker 2: with these beautiful, big blue eyes and had his name 418 00:21:35,040 --> 00:21:36,840 Speaker 2: and everything. I thought, you know, even if you get 419 00:21:36,880 --> 00:21:38,199 Speaker 2: him back, he's never going to be like that. 420 00:21:38,480 --> 00:21:39,080 Speaker 1: Yeah. 421 00:21:39,680 --> 00:21:42,480 Speaker 2: Yes, then the tires were I mean they had photographs 422 00:21:42,520 --> 00:21:45,160 Speaker 2: of the decomposing bodies, their faces, and families were coming around. 423 00:21:45,160 --> 00:21:47,480 Speaker 2: They had the seed easy you could take home and 424 00:21:47,480 --> 00:21:49,760 Speaker 2: go through them. You know, maybe it was some weird 425 00:21:49,800 --> 00:21:51,800 Speaker 2: shaped tooth or something that you could pick. 426 00:21:51,920 --> 00:21:56,800 Speaker 1: So do you think from disaster Victim Identification DBI, where 427 00:21:56,800 --> 00:22:00,119 Speaker 1: there's been multiple casualties to identify all the victims, do 428 00:22:00,160 --> 00:22:02,480 Speaker 1: you think we learned things from that practices? 429 00:22:02,680 --> 00:22:06,919 Speaker 2: You know we did, And there were there were some 430 00:22:06,920 --> 00:22:11,240 Speaker 2: teams that came that you know, weren't practicing pathologists, and 431 00:22:11,359 --> 00:22:14,159 Speaker 2: you know they were taking off the jewelry and putting 432 00:22:14,200 --> 00:22:18,680 Speaker 2: under the body, or not filling out the forms correctly 433 00:22:18,720 --> 00:22:20,320 Speaker 2: and taking the original forms with them. It was just 434 00:22:20,880 --> 00:22:23,600 Speaker 2: you know, coordinating that was was not easy. 435 00:22:24,080 --> 00:22:27,520 Speaker 1: Do you know you talk about bringing the bodies back 436 00:22:27,840 --> 00:22:30,800 Speaker 1: how many Australians You got an idea of the rough 437 00:22:30,840 --> 00:22:32,080 Speaker 1: figure that caught up in them. 438 00:22:32,160 --> 00:22:36,840 Speaker 2: I don't. Actually, one of the important things for me 439 00:22:37,040 --> 00:22:39,560 Speaker 2: was the last week I was there, there were two 440 00:22:39,600 --> 00:22:42,760 Speaker 2: Australian bodies and a couple of containers that weren't refrigerated. 441 00:22:43,040 --> 00:22:46,200 Speaker 2: I found them. And then one of the women came 442 00:22:46,200 --> 00:22:49,760 Speaker 2: from Adelaide and so I represented forensic science going out 443 00:22:49,800 --> 00:22:52,240 Speaker 2: to the plane when she came back to get the 444 00:22:52,240 --> 00:22:54,199 Speaker 2: body and met the family. So I thought that was 445 00:22:54,240 --> 00:22:58,600 Speaker 2: a sort of a nice finishing off. I'd been with 446 00:22:58,640 --> 00:23:01,840 Speaker 2: them in Thailand and I was there, come she came back. 447 00:23:01,920 --> 00:23:03,959 Speaker 1: Yeah, those things mean a lot. 448 00:23:04,200 --> 00:23:04,720 Speaker 2: I think they do. 449 00:23:05,640 --> 00:23:10,000 Speaker 1: Circumstances. Did you get was it mandatory for you to 450 00:23:10,040 --> 00:23:15,359 Speaker 1: sit down with a psychologist and talk these things? We 451 00:23:15,400 --> 00:23:17,720 Speaker 1: have that at homicide we'd have to go every six 452 00:23:17,760 --> 00:23:19,520 Speaker 1: months and sit down and talk. But it was that 453 00:23:19,560 --> 00:23:20,760 Speaker 1: part and parcel of it. 454 00:23:20,840 --> 00:23:23,879 Speaker 2: Yeah, I did, and the psychologist I said, what was 455 00:23:23,880 --> 00:23:25,480 Speaker 2: one of the worst things? I said, We're just not 456 00:23:25,560 --> 00:23:28,119 Speaker 2: being recognized and he said, yeah, that's that's what happens 457 00:23:28,160 --> 00:23:30,199 Speaker 2: with me. So really, how do you deal with this? 458 00:23:30,240 --> 00:23:31,720 Speaker 2: I'd drink off headmen, I said, what do you drink 459 00:23:31,760 --> 00:23:34,160 Speaker 2: and whiskey. So we discussed whiskeys and then about two 460 00:23:34,160 --> 00:23:35,679 Speaker 2: weeks later I got an email from him saying, what 461 00:23:35,720 --> 00:23:39,280 Speaker 2: was that whiskey? You recommended Highland? So that was the 462 00:23:39,280 --> 00:23:40,800 Speaker 2: extent of the psychological support. 463 00:23:41,119 --> 00:23:44,800 Speaker 1: Okay, okay, you've talked and you've mentioned a couple of 464 00:23:44,800 --> 00:23:47,320 Speaker 1: times in while we've been sitting down the smell and 465 00:23:47,400 --> 00:23:49,639 Speaker 1: the smell of death, and unless you've smell that, you 466 00:23:49,680 --> 00:23:54,000 Speaker 1: can't you can't really describe it. It's hard to describe. 467 00:23:54,800 --> 00:23:57,720 Speaker 1: Does that have an impact on you, the amount of 468 00:23:57,760 --> 00:23:58,840 Speaker 1: death that you would have smelled. 469 00:24:00,359 --> 00:24:03,800 Speaker 2: It's something you do, you do get used to, and 470 00:24:04,280 --> 00:24:07,720 Speaker 2: after a few decades inhaling formalon, your smell's not as 471 00:24:07,720 --> 00:24:09,480 Speaker 2: good as it used to be. But we were down. 472 00:24:09,600 --> 00:24:13,520 Speaker 2: We had a ceremony at Patong Beach and one of 473 00:24:13,520 --> 00:24:18,119 Speaker 2: the mortue tenders and we walked over and there was 474 00:24:18,119 --> 00:24:20,879 Speaker 2: a remnants of a Japanese restaurant, and sure enough that 475 00:24:20,960 --> 00:24:24,199 Speaker 2: clearly little bodies under that. So I was thinking, you know, 476 00:24:24,280 --> 00:24:26,639 Speaker 2: he'd probably be cheaper than a sniffer dog. Maybe we 477 00:24:26,640 --> 00:24:28,200 Speaker 2: should use him. 478 00:24:28,880 --> 00:24:33,639 Speaker 1: It's not your first first experience in these type of things, 479 00:24:33,680 --> 00:24:37,879 Speaker 1: and the barley bombing, you're also had some involvement in that, 480 00:24:38,600 --> 00:24:42,160 Speaker 1: and that's I look at that from a different perspective 481 00:24:42,160 --> 00:24:45,720 Speaker 1: because that was an active evil murder court. Cause that 482 00:24:46,160 --> 00:24:49,280 Speaker 1: what was your experience dealing with the Barley bombings. 483 00:24:49,600 --> 00:24:51,360 Speaker 2: I came in later in that, so I was sort 484 00:24:51,400 --> 00:24:53,399 Speaker 2: of more auditing. But I had a fair bit to 485 00:24:53,440 --> 00:24:55,959 Speaker 2: do with Ikbar one of the suicide bombers at Paddy's Bar, 486 00:24:56,119 --> 00:24:59,960 Speaker 2: so I was repatriating his his remain. 487 00:25:01,320 --> 00:25:03,640 Speaker 1: Again, when you say you had a fair bit to 488 00:25:03,680 --> 00:25:06,159 Speaker 1: do with him, you were looking at his remains, so 489 00:25:06,359 --> 00:25:09,400 Speaker 1: that put all the pieces together. Basically, basically you find 490 00:25:09,400 --> 00:25:10,359 Speaker 1: out what happened. 491 00:25:10,800 --> 00:25:12,440 Speaker 2: The problem with Bali was interesting. I was watching it 492 00:25:12,480 --> 00:25:14,760 Speaker 2: when it first happened, and you know it was chaos, 493 00:25:14,800 --> 00:25:16,400 Speaker 2: but you had people trying to help, so they were 494 00:25:16,440 --> 00:25:19,439 Speaker 2: sweeping up stuff, so they were destroying the crime scene. 495 00:25:20,040 --> 00:25:23,240 Speaker 2: But of course, again with a DBI, the important thing 496 00:25:23,320 --> 00:25:26,520 Speaker 2: is not so much the deceased. It's to get the 497 00:25:27,359 --> 00:25:32,399 Speaker 2: injured and wounded out and looked after. But yes, Barlei 498 00:25:32,560 --> 00:25:36,119 Speaker 2: was particularly nasty because the bomb that went off at 499 00:25:36,160 --> 00:25:39,520 Speaker 2: the Sari Club was in a vehicle outside and there 500 00:25:39,640 --> 00:25:44,080 Speaker 2: was cast iron grating and glass, so there were secondary 501 00:25:44,080 --> 00:25:48,160 Speaker 2: projectiles that went into the nightclub, and of course there 502 00:25:48,200 --> 00:25:52,200 Speaker 2: was fire, so there was monoxide inhalation as well as 503 00:25:52,200 --> 00:25:54,879 Speaker 2: the injuries. People were crushed trying to get out of 504 00:25:54,920 --> 00:25:56,840 Speaker 2: the doors. So there were a whole lot of different 505 00:25:56,840 --> 00:26:01,840 Speaker 2: things that went on there, and the bodies were fragmented, 506 00:26:01,920 --> 00:26:06,360 Speaker 2: unlike Thailand, where mostly in Thailand the bodies were intact. 507 00:26:06,400 --> 00:26:09,480 Speaker 2: But you do occasionally find strange things. I was in 508 00:26:09,760 --> 00:26:12,560 Speaker 2: mortuary in Thailand and colleague from Zealand and said, look 509 00:26:12,560 --> 00:26:15,320 Speaker 2: at this, and it was an adult woman and her 510 00:26:15,359 --> 00:26:20,200 Speaker 2: head had exploded. And I said, have you found pellets 511 00:26:20,240 --> 00:26:22,880 Speaker 2: because it looked like a shotgun. Yeah, but she must 512 00:26:22,880 --> 00:26:24,199 Speaker 2: have just been going through the water at such as 513 00:26:24,200 --> 00:26:28,080 Speaker 2: speed and hit something. So that's the thing really you're 514 00:26:28,080 --> 00:26:30,360 Speaker 2: looking for. Is this something that doesn't fit you know? 515 00:26:31,320 --> 00:26:33,639 Speaker 2: And as I said, what a perfect way to hide 516 00:26:34,520 --> 00:26:35,879 Speaker 2: crimes in amongst that. 517 00:26:36,240 --> 00:26:39,600 Speaker 1: Put your body in there with the Bali bombings. What's 518 00:26:39,640 --> 00:26:41,679 Speaker 1: the effect on the body where it's caught up in 519 00:26:41,680 --> 00:26:42,159 Speaker 1: the blast. 520 00:26:43,760 --> 00:26:47,800 Speaker 2: It varies, but if a body is in the blast, 521 00:26:48,119 --> 00:26:52,480 Speaker 2: they'll have burns, but they also have characteristic sort of 522 00:26:52,520 --> 00:26:54,800 Speaker 2: internal findings. If the body is still intact, you know 523 00:26:55,040 --> 00:26:57,600 Speaker 2: where the lungs have expanded up against the chest wall. 524 00:26:57,760 --> 00:27:00,520 Speaker 2: The intestines have sort of blown out, so you can 525 00:27:00,640 --> 00:27:02,560 Speaker 2: see things to support it. But if it's if they're 526 00:27:02,600 --> 00:27:07,199 Speaker 2: close to the epicenter, basically it'll be fragmented. So they 527 00:27:07,240 --> 00:27:10,200 Speaker 2: always say that, you know, and it didn't apply in Barley, 528 00:27:10,200 --> 00:27:13,119 Speaker 2: but with suicide bombers you need to look around the 529 00:27:13,160 --> 00:27:15,240 Speaker 2: rus for half a kilometer because their head has gone. 530 00:27:15,440 --> 00:27:18,240 Speaker 1: Are you When you're going through the bodies on a 531 00:27:18,320 --> 00:27:21,640 Speaker 1: situation like that, you're also looking for the physical evidence 532 00:27:21,640 --> 00:27:23,280 Speaker 1: of support the police investigation. 533 00:27:23,480 --> 00:27:26,919 Speaker 2: You're going through looking for ordinance. And that's one of 534 00:27:26,960 --> 00:27:30,720 Speaker 2: the dangers of dv I in the sale war zone 535 00:27:31,080 --> 00:27:32,920 Speaker 2: is that the body has been booby trapped. I mean, 536 00:27:32,960 --> 00:27:36,600 Speaker 2: what better way to actually cause further problems. 537 00:27:36,800 --> 00:27:38,840 Speaker 1: Thinking about how to commit crimes again. 538 00:27:39,200 --> 00:27:44,920 Speaker 2: Not just relating, right, I must admit though the bombings 539 00:27:44,960 --> 00:27:48,600 Speaker 2: in London, I was told this by a forensic pathologist 540 00:27:48,720 --> 00:27:51,159 Speaker 2: and I don't know whether it's a pock fall, but 541 00:27:51,160 --> 00:27:53,880 Speaker 2: they've taken the bodies to a parade ground and they're 542 00:27:53,880 --> 00:27:57,159 Speaker 2: looking for a gunshot residue, and they were getting incredible 543 00:27:57,200 --> 00:28:01,080 Speaker 2: hits until I realized that a cannon had been fired 544 00:28:01,200 --> 00:28:03,400 Speaker 2: at noon every day for the last hundred years in 545 00:28:03,440 --> 00:28:07,160 Speaker 2: that quadrangle, so they had to peel that back. 546 00:28:07,280 --> 00:28:07,480 Speaker 1: Yeah. 547 00:28:07,680 --> 00:28:10,960 Speaker 2: Yeah. I also said to the fellows in England, I said, 548 00:28:11,040 --> 00:28:13,200 Speaker 2: why didn't they let a dirty blob GoF with anthrax 549 00:28:13,280 --> 00:28:15,000 Speaker 2: or something? I mean, I said, we can talk about 550 00:28:15,000 --> 00:28:16,840 Speaker 2: this because terrorist not a see. If they've done that, 551 00:28:16,880 --> 00:28:20,280 Speaker 2: we couldn't have coped. I don't understand why they just 552 00:28:21,000 --> 00:28:24,040 Speaker 2: do the one hit, not a couple. I'm pleased they don't, 553 00:28:24,359 --> 00:28:25,240 Speaker 2: but the. 554 00:28:25,800 --> 00:28:28,840 Speaker 1: Type of impact that. 555 00:28:27,960 --> 00:28:29,800 Speaker 2: Do you destroy the support worker is coming and then 556 00:28:29,840 --> 00:28:31,639 Speaker 2: you really cause the problem. 557 00:28:31,840 --> 00:28:36,520 Speaker 1: You've been in this field for the years, changes, improvements 558 00:28:36,560 --> 00:28:39,960 Speaker 1: and different things. We used to rely on facial recognition. 559 00:28:40,280 --> 00:28:43,600 Speaker 1: You can see some problems with facial recognition if you 560 00:28:43,680 --> 00:28:45,720 Speaker 1: reconstruct a face from a skeletal remain. 561 00:28:46,800 --> 00:28:51,280 Speaker 2: I think, and this is just my personal view, that 562 00:28:51,320 --> 00:28:56,440 Speaker 2: facial recognition what it does best is remind people of 563 00:28:56,560 --> 00:28:58,520 Speaker 2: memories they have of the time, so that brings in 564 00:28:58,680 --> 00:29:01,920 Speaker 2: and you would know this too, that brings extra information forward. 565 00:29:02,200 --> 00:29:07,320 Speaker 2: But when I see a face reconstruction and the skeleton, 566 00:29:07,480 --> 00:29:10,200 Speaker 2: what I have to do And apparently this has been 567 00:29:10,240 --> 00:29:13,800 Speaker 2: done as people have done studies where they've taken donated 568 00:29:13,800 --> 00:29:16,440 Speaker 2: bodies so they've got what the face looks like. They've 569 00:29:16,480 --> 00:29:19,480 Speaker 2: then taken the skull, they've given it to facial reconstruction people, 570 00:29:19,480 --> 00:29:21,960 Speaker 2: and then you compare the two. So that is something 571 00:29:22,200 --> 00:29:24,400 Speaker 2: I need to look at because I'm sure that they're 572 00:29:24,480 --> 00:29:27,120 Speaker 2: quite different. I mean, this is flash, you know, he 573 00:29:27,320 --> 00:29:29,800 Speaker 2: is hair, all that sort of stuff. Yeah, so I 574 00:29:29,880 --> 00:29:34,400 Speaker 2: think that facial recognition is sort of not as exciting 575 00:29:34,400 --> 00:29:36,400 Speaker 2: as we once thought. It was a bite marks again. 576 00:29:36,560 --> 00:29:37,600 Speaker 2: You know, you used to be able to tell an 577 00:29:37,640 --> 00:29:38,880 Speaker 2: individual from a bite mark. 578 00:29:39,440 --> 00:29:42,920 Speaker 1: Now you can't well talk about that because I've been 579 00:29:42,960 --> 00:29:47,000 Speaker 1: involved in investigations where the bites have come into play. 580 00:29:47,200 --> 00:29:51,400 Speaker 2: Ye, very hard to actually pin it to a particular person. 581 00:29:51,440 --> 00:29:53,160 Speaker 2: If it's a small bite, it's a child with large 582 00:29:53,160 --> 00:29:56,280 Speaker 2: bidet's an adult. But it really the importance of bite 583 00:29:56,320 --> 00:29:59,960 Speaker 2: marks is swabbing for saliva DNA. That's the most real. 584 00:30:00,680 --> 00:30:03,400 Speaker 2: So there are a lot of things that we used 585 00:30:03,440 --> 00:30:06,360 Speaker 2: to think were important that you know, ant is reliable. 586 00:30:06,600 --> 00:30:08,480 Speaker 2: One of the best things I find in court is 587 00:30:08,520 --> 00:30:10,680 Speaker 2: to be able to say I have no idea and 588 00:30:10,720 --> 00:30:13,040 Speaker 2: the jury, you know, will then make eye contact and 589 00:30:13,080 --> 00:30:17,240 Speaker 2: you can see them thinking, well, he's honest. So when 590 00:30:17,280 --> 00:30:19,200 Speaker 2: he does say he knows something, then we can probably trusted. 591 00:30:20,400 --> 00:30:24,320 Speaker 1: Have you seen and without the specific examples, experts at 592 00:30:24,400 --> 00:30:27,840 Speaker 1: sort of stray outside their lane of expertise in court. 593 00:30:28,640 --> 00:30:33,720 Speaker 2: Yes, your honor, And that's one of the problems is 594 00:30:33,720 --> 00:30:35,400 Speaker 2: you know people are experts because I say they are, 595 00:30:35,600 --> 00:30:39,520 Speaker 2: you know, and some people will go all over the 596 00:30:39,560 --> 00:30:45,000 Speaker 2: place with and I've had experts who have been accused 597 00:30:45,000 --> 00:30:46,960 Speaker 2: of knowing we misleading the court and it just seems 598 00:30:47,000 --> 00:30:50,960 Speaker 2: to bounce off them. I think that people like us 599 00:30:50,960 --> 00:30:56,440 Speaker 2: are in no man's land because we're prepared to say 600 00:30:56,440 --> 00:31:00,640 Speaker 2: that nothing's absolute, this is possible, and not half as 601 00:31:00,640 --> 00:31:02,960 Speaker 2: convincing as saying clearly this is the cause of death 602 00:31:02,960 --> 00:31:03,560 Speaker 2: and nothing else. 603 00:31:04,000 --> 00:31:08,000 Speaker 1: Yeah, if but you talk about credibility to like, if 604 00:31:08,040 --> 00:31:10,360 Speaker 1: you make that comment, then that other evidence comes in 605 00:31:10,440 --> 00:31:15,120 Speaker 1: that can dispel what that person's saying. Definitely happened. 606 00:31:15,160 --> 00:31:17,160 Speaker 2: You need to do so, mister, they call me mister. 607 00:31:17,600 --> 00:31:20,520 Speaker 2: They want to, you know, diminish my status in the court. 608 00:31:20,560 --> 00:31:27,000 Speaker 2: I mean my father was mister. So they dropped the professor. Yes, mister, 609 00:31:27,360 --> 00:31:28,400 Speaker 2: can you definitely exclude that? 610 00:31:28,680 --> 00:31:31,960 Speaker 1: That's Have they ever got you down to Roger? Roger? 611 00:31:32,000 --> 00:31:33,560 Speaker 2: What were you not as such? 612 00:31:34,040 --> 00:31:34,160 Speaker 1: Well? 613 00:31:34,440 --> 00:31:36,680 Speaker 2: That's outside the court. I've been called worse. 614 00:31:36,760 --> 00:31:41,000 Speaker 1: But yeah, if they're talking me up, if I'm in 615 00:31:41,000 --> 00:31:44,040 Speaker 1: the witness box, detective chief inspector, the very experienced, once 616 00:31:44,040 --> 00:31:45,720 Speaker 1: they start to talk me up, I know I'm about 617 00:31:45,760 --> 00:31:48,440 Speaker 1: to be hit, be brought down. So I imagine you 618 00:31:48,520 --> 00:31:51,400 Speaker 1: the experience experience that. What's the longest time you've spent 619 00:31:51,400 --> 00:31:52,240 Speaker 1: in the witness box. 620 00:31:53,080 --> 00:31:58,960 Speaker 2: Well, it's not chronological. The following trial, I was only 621 00:31:58,960 --> 00:32:00,880 Speaker 2: in for an afternoon, but that was a very long 622 00:32:00,920 --> 00:32:04,120 Speaker 2: afternoon probably I suppose day or two. 623 00:32:04,320 --> 00:32:07,280 Speaker 1: You know, Well, we've had we've had a guest on 624 00:32:07,320 --> 00:32:11,720 Speaker 1: that wrote the book about Catheline Folbing and what's your 625 00:32:11,760 --> 00:32:14,000 Speaker 1: take on them. It's a very complex matner. It's probably 626 00:32:14,000 --> 00:32:16,800 Speaker 1: a hard question to yeah, for you to answer, but 627 00:32:16,880 --> 00:32:19,480 Speaker 1: just in your area of involvement in the matter. 628 00:32:19,680 --> 00:32:22,680 Speaker 2: Well, I appeared for the defense back in two thousand 629 00:32:22,680 --> 00:32:25,440 Speaker 2: and three, and I've always said that I think there 630 00:32:25,520 --> 00:32:30,520 Speaker 2: was reasonable doubt. I think all four kids had significan 631 00:32:30,520 --> 00:32:35,080 Speaker 2: potentially significant conditions. Caleb had a soft larynx, he was 632 00:32:35,120 --> 00:32:39,440 Speaker 2: having trouble breathing. Patrick was epileptic. Sarah had a very 633 00:32:39,480 --> 00:32:42,560 Speaker 2: strange shape at the back of her soft Palette and 634 00:32:42,640 --> 00:32:46,360 Speaker 2: Laura had my carditis. So I mean people now looking 635 00:32:46,360 --> 00:32:50,640 Speaker 2: at this genetic material. For me, I don't need genetics 636 00:32:50,680 --> 00:32:54,240 Speaker 2: to say there was no evidence of inflicted suffocation and 637 00:32:54,320 --> 00:32:56,880 Speaker 2: that they had conditions that could potentially kill them. Could 638 00:32:56,880 --> 00:32:59,080 Speaker 2: they been suffocated, yes, they could, but they also could 639 00:32:59,120 --> 00:33:02,920 Speaker 2: have died of this. I think there was always reasonable doubt. 640 00:33:03,040 --> 00:33:08,800 Speaker 1: Yeah, and that's a thing that's played out. It's a 641 00:33:08,800 --> 00:33:09,760 Speaker 1: fascinating case, but. 642 00:33:09,840 --> 00:33:10,600 Speaker 2: It's a tragic case. 643 00:33:10,680 --> 00:33:10,880 Speaker 1: Yeah. 644 00:33:11,840 --> 00:33:15,800 Speaker 2: No matter which side you're on, you've got four dead, lovely. 645 00:33:15,640 --> 00:33:21,760 Speaker 1: Children, no one, no one wins. You've talked about in 646 00:33:22,480 --> 00:33:25,200 Speaker 1: the views that you've done a right to mourn and 647 00:33:26,600 --> 00:33:28,640 Speaker 1: talk us through that, because we're getting deep into the 648 00:33:28,680 --> 00:33:31,120 Speaker 1: emotional side of the type of crime that you've done. 649 00:33:31,160 --> 00:33:32,560 Speaker 1: And my observation. 650 00:33:34,080 --> 00:33:35,160 Speaker 2: I've observed. 651 00:33:37,960 --> 00:33:40,200 Speaker 1: Slip, So what other crimes if you've done, I'll just 652 00:33:40,200 --> 00:33:43,440 Speaker 1: start cautioning you. But my observation, you've kept your sense 653 00:33:43,440 --> 00:33:45,920 Speaker 1: of humor. You've seen a lot of darkness in life, 654 00:33:46,280 --> 00:33:49,240 Speaker 1: and you also talk about the right to mourn, that 655 00:33:49,400 --> 00:33:52,400 Speaker 1: there's nothing wrong with mourning and feeling the pain that 656 00:33:53,080 --> 00:33:55,640 Speaker 1: the things you've seen. Talk us through through your thinking there. 657 00:33:55,520 --> 00:33:57,960 Speaker 2: Well, I think anybody exposed the tragedy needs to mourn. 658 00:33:58,400 --> 00:34:00,400 Speaker 2: He has said if you if you don't, then I 659 00:34:00,400 --> 00:34:05,960 Speaker 2: think that you're knowingly or unwittingly just cutting yourself off 660 00:34:06,160 --> 00:34:11,800 Speaker 2: from an important part of emotional processes. The reason I've survived, 661 00:34:11,840 --> 00:34:15,720 Speaker 2: I think, is because I understand how important these deaths 662 00:34:15,719 --> 00:34:19,959 Speaker 2: are the families in the community, and it's something I think. 663 00:34:20,480 --> 00:34:23,720 Speaker 2: Forensic pathology is more than just dissection and report writing. 664 00:34:24,239 --> 00:34:27,520 Speaker 2: It should be integrating into the community to help people. 665 00:34:28,880 --> 00:34:33,840 Speaker 2: And that's It's bizarre though, the cases that get through, 666 00:34:34,239 --> 00:34:36,839 Speaker 2: And I don't know how we do it in the police. 667 00:34:36,880 --> 00:34:39,560 Speaker 2: I don't know how we actually we're not taught to 668 00:34:39,640 --> 00:34:42,400 Speaker 2: warl ourselves off, but we do somehow. But some cases 669 00:34:42,440 --> 00:34:45,600 Speaker 2: just I remember there was a case of a he 670 00:34:47,160 --> 00:34:49,640 Speaker 2: was an execution of one of the biker gangs, and 671 00:34:49,680 --> 00:34:54,239 Speaker 2: he committed suicide on a lonely beach and I was 672 00:34:54,280 --> 00:34:56,759 Speaker 2: sitting there with my wife that night and she said, 673 00:34:56,760 --> 00:34:59,200 Speaker 2: what's wrong with you? I said, really really upset about 674 00:34:59,200 --> 00:35:04,120 Speaker 2: this case. But you see murdered children, you see this, 675 00:35:04,120 --> 00:35:06,480 Speaker 2: this and this. I don't know. There was just something 676 00:35:06,520 --> 00:35:10,120 Speaker 2: about this that got to me. It's very strange. 677 00:35:10,320 --> 00:35:13,319 Speaker 1: It's interesting isn't it. Is there something particular about that, 678 00:35:13,360 --> 00:35:16,200 Speaker 1: because given all the things that you've seen, I'm just 679 00:35:16,239 --> 00:35:18,080 Speaker 1: wondering why that sort of jump jumped out. 680 00:35:18,480 --> 00:35:20,200 Speaker 2: I don't know. I talked about it with my wife 681 00:35:20,200 --> 00:35:24,480 Speaker 2: and we wonder whether it was because he was a 682 00:35:24,520 --> 00:35:27,600 Speaker 2: bloke about my age and he'd gone to this isolated 683 00:35:27,640 --> 00:35:29,640 Speaker 2: beach that was very like some of the beaches I 684 00:35:29,760 --> 00:35:31,600 Speaker 2: used to go to as a kid in Tasmania. So 685 00:35:31,680 --> 00:35:34,000 Speaker 2: they just seemed to be a lonely poignancy to it. 686 00:35:34,080 --> 00:35:38,400 Speaker 2: But yeah, it may be that it was just somebody 687 00:35:38,400 --> 00:35:39,680 Speaker 2: strangely I could identify with. 688 00:35:40,520 --> 00:35:44,920 Speaker 1: It's interesting how different cases have different different impacts. What 689 00:35:45,000 --> 00:35:47,560 Speaker 1: about your faith in society? 690 00:35:47,800 --> 00:35:48,480 Speaker 2: I like dogs? 691 00:35:48,880 --> 00:35:50,680 Speaker 1: Okay, what about killer dogs? 692 00:35:53,640 --> 00:35:59,400 Speaker 2: Killer dogs are usually the product of killer owners. You know, 693 00:35:59,480 --> 00:36:01,840 Speaker 2: if you treat a dog badly, it'll. 694 00:36:01,400 --> 00:36:04,840 Speaker 1: Be well, you see the most terrifying looking dogs and 695 00:36:04,880 --> 00:36:08,600 Speaker 1: they're placid them. That comes down to the owner generally. 696 00:36:08,680 --> 00:36:12,440 Speaker 1: But have you seen many situations of dogs that have killed. 697 00:36:12,719 --> 00:36:15,319 Speaker 2: I've seen a few. There was a fascinating case in 698 00:36:15,360 --> 00:36:18,480 Speaker 2: Canada that I wasn't involved with, but the pathologist who 699 00:36:18,520 --> 00:36:21,040 Speaker 2: did the autopsy said the child had been a stab 700 00:36:21,120 --> 00:36:26,399 Speaker 2: with scissors and the mother went to jail and there 701 00:36:26,480 --> 00:36:28,000 Speaker 2: was a pitbull in the house that actually had a 702 00:36:28,000 --> 00:36:33,000 Speaker 2: bloodstained in front. Subsequently came out and it was a 703 00:36:33,000 --> 00:36:35,960 Speaker 2: dog attack. He just got it completely wrong. But there 704 00:36:35,960 --> 00:36:37,400 Speaker 2: are certain breeze yes, you know. I mean, I've got 705 00:36:37,440 --> 00:36:38,879 Speaker 2: a golden a Trita. I don't think it's been one 706 00:36:38,880 --> 00:36:42,080 Speaker 2: report of Golden A Tria licking somebody, leah. 707 00:36:42,320 --> 00:36:45,120 Speaker 1: But anyway, before we got off on the dog track 708 00:36:45,680 --> 00:36:46,960 Speaker 1: a society. 709 00:36:47,560 --> 00:36:53,520 Speaker 2: I'm worried. I think that a couple of reasons. Methamphetamine 710 00:36:53,640 --> 00:36:56,200 Speaker 2: is everywhere, as you know, that that's a toxic drug 711 00:36:56,520 --> 00:37:00,080 Speaker 2: and it just destroys people. And we've done studies showing 712 00:37:00,120 --> 00:37:04,400 Speaker 2: the percentage of meth with homicide victims and homicide perpetrators, 713 00:37:04,440 --> 00:37:07,279 Speaker 2: and as you know, it's very high. Also, I think 714 00:37:07,320 --> 00:37:13,680 Speaker 2: that the Internet trivializes violence. You have kids just watching 715 00:37:13,680 --> 00:37:15,719 Speaker 2: this stuff and they think that this is normal. Some 716 00:37:15,760 --> 00:37:21,759 Speaker 2: of those computer games are outrageous. You know, they train 717 00:37:22,400 --> 00:37:25,640 Speaker 2: troops now on computer games when they're taking out soldiers 718 00:37:25,640 --> 00:37:27,200 Speaker 2: and stuff. So it's the same process. 719 00:37:27,320 --> 00:37:30,000 Speaker 1: You can embedd it in the actions and the thing. 720 00:37:31,239 --> 00:37:34,920 Speaker 2: I think it just it makes quite violent horrific acts 721 00:37:35,239 --> 00:37:35,840 Speaker 2: seem normal. 722 00:37:36,280 --> 00:37:39,719 Speaker 1: No interesting, interesting take on that than what you've said 723 00:37:39,760 --> 00:37:42,760 Speaker 1: about the drugs too, And I would imagine that you've 724 00:37:42,840 --> 00:37:45,040 Speaker 1: done some post more thans and seen the results of 725 00:37:45,160 --> 00:37:46,960 Speaker 1: heavy use of drugs. 726 00:37:47,200 --> 00:37:51,120 Speaker 2: And I was walking past a group of houses in 727 00:37:51,160 --> 00:37:53,640 Speaker 2: my neighborhood just around the corner the other night, and 728 00:37:53,680 --> 00:37:57,600 Speaker 2: the fellow the allegations of myth selling there, and there 729 00:37:57,640 --> 00:37:59,720 Speaker 2: was a fellow inside who'd broken down the doors and stuff. 730 00:38:00,640 --> 00:38:03,080 Speaker 2: That was nine o'clock on Saturday night. By six o'clock 731 00:38:03,120 --> 00:38:04,799 Speaker 2: the next morning, he had murdered the bloke in the park. 732 00:38:06,560 --> 00:38:07,520 Speaker 1: No role or reason. 733 00:38:08,480 --> 00:38:11,360 Speaker 2: So it's everywhere now, Okay. 734 00:38:12,719 --> 00:38:15,920 Speaker 1: I think I mentioned Guardians of the Dead, a seven 735 00:38:16,000 --> 00:38:19,080 Speaker 1: part podcast series that you did. How did you get 736 00:38:19,120 --> 00:38:19,799 Speaker 1: involved in that. 737 00:38:20,120 --> 00:38:22,640 Speaker 2: One of the media people, Lisa Black at the university, 738 00:38:22,840 --> 00:38:26,360 Speaker 2: was interested in forensics and we just got chatting one 739 00:38:26,440 --> 00:38:28,680 Speaker 2: day and she said, well, you know, the local paper 740 00:38:28,760 --> 00:38:31,640 Speaker 2: might be interested in doing a podcast. I'd done a 741 00:38:31,680 --> 00:38:35,640 Speaker 2: full podcast. We just sat down and chatted about stuff 742 00:38:35,640 --> 00:38:39,160 Speaker 2: that I'd done and seen, and it was an interesting process. 743 00:38:39,440 --> 00:38:44,320 Speaker 2: I find getting involved with the media and assemblitting information interesting, 744 00:38:44,320 --> 00:38:47,040 Speaker 2: you know, whether it's film or whether it's radio or whatever. 745 00:38:47,120 --> 00:38:50,239 Speaker 2: So it's just something different to do that I think 746 00:38:50,320 --> 00:38:51,080 Speaker 2: can be useful. 747 00:38:51,480 --> 00:38:55,120 Speaker 1: Well, I think that ken, then it's not glorifying, not 748 00:38:55,160 --> 00:39:00,920 Speaker 1: glorifying crime. You're explaining, explaining situations in preparation for this podcast, 749 00:39:00,960 --> 00:39:04,040 Speaker 1: I think I said to you before we start, I 750 00:39:04,080 --> 00:39:06,120 Speaker 1: sat down to listen just to get a sense of 751 00:39:06,280 --> 00:39:08,960 Speaker 1: what you're about, and I listened to all episodes. 752 00:39:09,000 --> 00:39:11,239 Speaker 2: So and as I said, you need to get out, 753 00:39:11,480 --> 00:39:12,680 Speaker 2: I probably shouldn't. 754 00:39:12,920 --> 00:39:16,720 Speaker 1: I probably shouldn't be talking up on the podcast big 755 00:39:17,480 --> 00:39:20,239 Speaker 1: sitting here here doing my own podcast, But yeah, it was. 756 00:39:20,400 --> 00:39:22,520 Speaker 1: It was fascinating. And what I did like about it 757 00:39:22,719 --> 00:39:26,239 Speaker 1: that you take on that because quite often you could 758 00:39:26,239 --> 00:39:29,040 Speaker 1: be called an academic, but you've also got that let's. 759 00:39:28,880 --> 00:39:30,399 Speaker 2: Say, how do you well? 760 00:39:31,239 --> 00:39:33,600 Speaker 1: Academic can be a compliment, but it can also be 761 00:39:33,640 --> 00:39:37,160 Speaker 1: said if it said with the right tone. But you're 762 00:39:37,160 --> 00:39:39,600 Speaker 1: explain it in layman's terms. And I think that's important 763 00:39:39,640 --> 00:39:42,440 Speaker 1: because quite often science puts itself up up there that 764 00:39:43,640 --> 00:39:45,320 Speaker 1: you don't need to know. We're not going to explain 765 00:39:45,320 --> 00:39:47,160 Speaker 1: it to the common person, but you've got a way 766 00:39:47,160 --> 00:39:49,160 Speaker 1: of explaining what you come across. 767 00:39:49,320 --> 00:39:53,440 Speaker 2: My philosophy is if you can't explain something simply to somebody, 768 00:39:53,560 --> 00:39:55,040 Speaker 2: then you don't understand it yourself. 769 00:39:55,400 --> 00:39:57,960 Speaker 1: Yeah. Yeah, that's a good way of looking at I'll 770 00:39:58,000 --> 00:40:00,399 Speaker 1: think of that next time the computer per and comes 771 00:40:00,400 --> 00:40:03,520 Speaker 1: out to fix my computer. I don't care. 772 00:40:03,560 --> 00:40:06,880 Speaker 2: Why just fix it and don't don't change that. 773 00:40:08,000 --> 00:40:09,399 Speaker 1: What are you doing with yourself? Now? 774 00:40:10,200 --> 00:40:13,400 Speaker 2: Still working halftime at Forgics. So I'm on call in 775 00:40:13,440 --> 00:40:18,600 Speaker 2: a couple of weeks time, but winding back. Actually, yeah, 776 00:40:18,840 --> 00:40:22,040 Speaker 2: I've I got I had a goal to get a 777 00:40:22,080 --> 00:40:23,799 Speaker 2: thousand peer reviewed papers, and I got that a couple 778 00:40:23,840 --> 00:40:26,319 Speaker 2: of weeks ago. Yeah, so that was I mean, it's 779 00:40:26,320 --> 00:40:28,560 Speaker 2: it's like a golf handicap. Who cares except yourself, But 780 00:40:28,600 --> 00:40:30,400 Speaker 2: you know it was important to me. 781 00:40:31,600 --> 00:40:35,080 Speaker 1: You're you're under underplane your success and you're standing within 782 00:40:35,160 --> 00:40:38,680 Speaker 1: the field that you've operated into a lot of awards 783 00:40:38,680 --> 00:40:40,560 Speaker 1: and different things. So full credit to you. 784 00:40:40,800 --> 00:40:41,200 Speaker 2: Thank you. 785 00:40:42,200 --> 00:40:44,000 Speaker 1: I've enjoyed. I've enjoyed the chat. 786 00:40:44,280 --> 00:40:45,319 Speaker 2: I wish I could say the same. 787 00:40:47,200 --> 00:40:49,280 Speaker 1: Maybe you're not that funny. I thought you were funny, 788 00:40:49,280 --> 00:40:53,319 Speaker 1: but maybe maybe you're not. Maybe you are a horrible Roger. Look, 789 00:40:53,360 --> 00:40:55,319 Speaker 1: I'd like to thank you for not just coming on 790 00:40:55,320 --> 00:40:57,399 Speaker 1: the podcast, but also for the work that you've done, 791 00:40:57,640 --> 00:41:00,719 Speaker 1: and because I know it's difficult work and doing it 792 00:41:00,760 --> 00:41:03,560 Speaker 1: with compassion. I think that's so important. I saw that 793 00:41:03,640 --> 00:41:05,920 Speaker 1: in the homicide, and if people didn't have that empathy 794 00:41:05,920 --> 00:41:09,120 Speaker 1: and compassion, they do cause more damage to people that 795 00:41:09,160 --> 00:41:12,879 Speaker 1: shouldn't be damaged any further. And you've kept your sense 796 00:41:12,880 --> 00:41:15,800 Speaker 1: of humor and you seem seemed like quite a reasonable person. 797 00:41:15,960 --> 00:41:20,040 Speaker 2: That's the medication, all right. Thanks Roger,