1 00:00:00,120 --> 00:00:02,760 Speaker 1: Thanks for listening to the best of Coast to Coast podcast. 2 00:00:03,080 --> 00:00:04,880 Speaker 1: And if you want to hear more than just this 3 00:00:05,000 --> 00:00:07,800 Speaker 1: highlight from the show, become a Coast Insider and you 4 00:00:07,840 --> 00:00:11,840 Speaker 1: can listen to this complete program plus recent episodes covering 5 00:00:12,039 --> 00:00:15,440 Speaker 1: amazing topics like the discovery of an ancient lost city 6 00:00:15,480 --> 00:00:19,599 Speaker 1: in Honduras, secret societies that may control the world, and 7 00:00:19,680 --> 00:00:22,840 Speaker 1: an update on the legendary star Child skull. Head on 8 00:00:22,920 --> 00:00:24,919 Speaker 1: over to Coast to Coast dam dot com and sign 9 00:00:25,000 --> 00:00:28,600 Speaker 1: up for Coast Insider to start listening. Now, here's a 10 00:00:28,680 --> 00:00:32,720 Speaker 1: highlight from Coast to Coast AM on iHeart Radio. We 11 00:00:32,800 --> 00:00:34,960 Speaker 1: have two guests for you for the next couple of hours. 12 00:00:34,960 --> 00:00:37,760 Speaker 1: First of all, let me introduce Less Clinger with you. 13 00:00:37,880 --> 00:00:40,320 Speaker 1: Less was with me about the year and a half ago. 14 00:00:40,440 --> 00:00:43,120 Speaker 1: He's considered to be one of the world's foremost authorities 15 00:00:43,440 --> 00:00:47,720 Speaker 1: on those twin icons of the Victorian era, Sherlock Holmes 16 00:00:48,159 --> 00:00:51,440 Speaker 1: and Dracula. Now, since the nineteen sixties, the study of 17 00:00:51,440 --> 00:00:55,160 Speaker 1: the rich, fantastic literature of the Victorian writers has been 18 00:00:55,240 --> 00:00:59,760 Speaker 1: Clingers consuming passion. Now. In addition, is a longtime supporter 19 00:01:00,200 --> 00:01:04,679 Speaker 1: of Loyota Universities in Chicago's Life after Innocence, and he 20 00:01:04,840 --> 00:01:08,040 Speaker 1: was thrilled by the guests that's going to join him, 21 00:01:08,400 --> 00:01:12,000 Speaker 1: Laura Coldwell, to co edit Anatomy of Innocence, to have 22 00:01:12,040 --> 00:01:15,759 Speaker 1: the opportunity to work with amazing people whose stories are 23 00:01:15,760 --> 00:01:18,760 Speaker 1: told in the book and the equally amazing writers who 24 00:01:18,800 --> 00:01:21,720 Speaker 1: tell them as Allso let me, first of all, welcome 25 00:01:21,760 --> 00:01:24,000 Speaker 1: back Less to the program. Less, good to have you. 26 00:01:25,080 --> 00:01:27,399 Speaker 1: I'm looking forward to this, and let's bring Laura in. 27 00:01:27,480 --> 00:01:31,120 Speaker 1: Laura Coldwell as a former civil trial attorney now a 28 00:01:31,240 --> 00:01:35,600 Speaker 1: law professor at Loyola University School of Law in Chicago. 29 00:01:35,959 --> 00:01:39,640 Speaker 1: In two thousand and eight, she founded Loyola's Life After Innocence, 30 00:01:39,680 --> 00:01:45,399 Speaker 1: which assists wrongfully convicted individuals and other innocent persons affected 31 00:01:45,400 --> 00:01:48,240 Speaker 1: by the criminal justice system in order to help them 32 00:01:48,280 --> 00:01:52,200 Speaker 1: re enter society reclaim their lives. Laura, you're doing great, 33 00:01:52,560 --> 00:01:55,280 Speaker 1: great work, and thank you for joining us. Thanks for 34 00:01:55,320 --> 00:01:59,080 Speaker 1: having us. Let's talk first of all about these convictions. 35 00:01:59,160 --> 00:02:02,560 Speaker 1: I mean, we have all known since the beginning of 36 00:02:02,680 --> 00:02:06,440 Speaker 1: time that some people are going to get wrongfully convicted, 37 00:02:06,960 --> 00:02:11,800 Speaker 1: some people are going to the death chamber wrongfully committed. 38 00:02:11,840 --> 00:02:15,880 Speaker 1: We have killed innocent people. How bad is it? Laura? 39 00:02:16,040 --> 00:02:22,880 Speaker 1: Right now? Well, it's you know, estimated that if you 40 00:02:22,880 --> 00:02:26,200 Speaker 1: think about it, how often does the criminal justice system 41 00:02:26,200 --> 00:02:29,239 Speaker 1: get it right. Let's say we get it right of 42 00:02:29,280 --> 00:02:32,960 Speaker 1: the time, which is the current sort of median estimate 43 00:02:33,040 --> 00:02:36,400 Speaker 1: based on various studies. So if we get it right 44 00:02:37,520 --> 00:02:41,160 Speaker 1: of the time, then five of the prison population, which 45 00:02:41,200 --> 00:02:46,079 Speaker 1: is um you know, two are innocent in jail. So 46 00:02:46,639 --> 00:02:52,000 Speaker 1: right now there's a recognized almost two thousand exonerations. But really, 47 00:02:52,360 --> 00:02:55,519 Speaker 1: even if our very human system is doing a really 48 00:02:55,600 --> 00:02:58,880 Speaker 1: good job in doing of the time it's right, there's 49 00:02:58,880 --> 00:03:02,120 Speaker 1: still it's a thousands of people innocent in jail. By 50 00:03:02,160 --> 00:03:04,040 Speaker 1: the way, just so you both know, we have a 51 00:03:04,120 --> 00:03:08,240 Speaker 1: huge listenership in the prisons across this country right now, 52 00:03:08,360 --> 00:03:12,360 Speaker 1: So they're listening to you, some of them probably cheering. Uh. 53 00:03:12,639 --> 00:03:16,480 Speaker 1: And so if if a inmate he or she comes 54 00:03:16,560 --> 00:03:19,480 Speaker 1: up to you one day when you're visiting or whatever 55 00:03:19,480 --> 00:03:22,760 Speaker 1: and says I'm innocent, chances are five percent they're telling 56 00:03:22,760 --> 00:03:26,639 Speaker 1: the truth. That's right, That's exactly right. And there was 57 00:03:26,760 --> 00:03:30,840 Speaker 1: neat because of this book. The writers um have kind 58 00:03:30,840 --> 00:03:33,959 Speaker 1: of long recognized, I think that the criminal justice system 59 00:03:34,040 --> 00:03:37,240 Speaker 1: isn't perfect. If you look at sort of thriller writers 60 00:03:37,280 --> 00:03:40,320 Speaker 1: and some of these people. They're not saying anything's wrong 61 00:03:40,360 --> 00:03:43,960 Speaker 1: with cops and judges and whatever. They're just acknowledging that 62 00:03:44,040 --> 00:03:47,440 Speaker 1: it's human. And so pairing these kind of two worlds 63 00:03:47,560 --> 00:03:50,840 Speaker 1: was really interesting. And let's let's let's talk about you 64 00:03:50,880 --> 00:03:53,400 Speaker 1: and how did you get involved in this project, because 65 00:03:53,440 --> 00:03:56,960 Speaker 1: I know you as the Dracula guy, the Sherlock Holmes guy, 66 00:03:57,000 --> 00:03:59,640 Speaker 1: the Edgar Allan Poe guy. Well, of course, you know, 67 00:03:59,680 --> 00:04:01,880 Speaker 1: I've been involved in the mystery world for many years, 68 00:04:01,880 --> 00:04:06,800 Speaker 1: and I'm fascinated by the justice system and a concerned citizen. 69 00:04:06,880 --> 00:04:09,600 Speaker 1: Laura and I have been friends for more than ten years, 70 00:04:09,760 --> 00:04:12,480 Speaker 1: and I've tried to be very supportive of life fift 71 00:04:12,520 --> 00:04:15,720 Speaker 1: or Innocence. She had this brilliant idea for a book, 72 00:04:15,960 --> 00:04:17,600 Speaker 1: asked me if I had work on it with her, 73 00:04:17,760 --> 00:04:21,240 Speaker 1: and I was just thrilled to say yes, um, and 74 00:04:21,279 --> 00:04:23,400 Speaker 1: then we were able to bring a circle of friends 75 00:04:23,440 --> 00:04:28,080 Speaker 1: together to put the book in place, and here it is. 76 00:04:28,640 --> 00:04:32,040 Speaker 1: You said, It's so right, George. Up front, we're not 77 00:04:32,080 --> 00:04:36,719 Speaker 1: trying to indict the system. We're trying to make everybody 78 00:04:36,720 --> 00:04:42,080 Speaker 1: aware it's a human system. Stuff happens. And with that 79 00:04:42,200 --> 00:04:46,520 Speaker 1: stuff that happens, I mean can we, Laura, make it 80 00:04:46,600 --> 00:04:51,200 Speaker 1: any better? Oh? Absolutely, Um, we can. And I think 81 00:04:51,240 --> 00:04:54,839 Speaker 1: the great thing is now there's an innocence community that again, 82 00:04:54,920 --> 00:04:57,520 Speaker 1: as as les I said, this is not an indictment 83 00:04:58,400 --> 00:05:01,839 Speaker 1: of our overall system. It's it's a we just have 84 00:05:01,920 --> 00:05:05,000 Speaker 1: to acknowledge that. I mean, even a factory that made 85 00:05:05,760 --> 00:05:09,760 Speaker 1: these parts right at the time would get audited by 86 00:05:10,200 --> 00:05:12,840 Speaker 1: that's pretty good. So we just have to acknowledge all that. 87 00:05:12,839 --> 00:05:15,279 Speaker 1: That's a pretty large number of people who are innocent 88 00:05:15,839 --> 00:05:19,640 Speaker 1: in jail. And I think, I think we are starting 89 00:05:19,680 --> 00:05:21,920 Speaker 1: to come to a place where it's time to look 90 00:05:21,960 --> 00:05:24,159 Speaker 1: at what it feels like to be in the skin 91 00:05:24,400 --> 00:05:28,200 Speaker 1: and behind the eyes of someone who experiences that. And 92 00:05:28,240 --> 00:05:31,280 Speaker 1: so that's, you know, the direction we were going in 93 00:05:31,279 --> 00:05:34,560 Speaker 1: instead of reporting on this is a problem. This is 94 00:05:34,600 --> 00:05:37,600 Speaker 1: a problem. And so to your question, can this improve? 95 00:05:37,800 --> 00:05:41,240 Speaker 1: We know it can because we are now identifying the 96 00:05:41,279 --> 00:05:45,120 Speaker 1: top five or six causes of wrongful convictions. So we 97 00:05:45,240 --> 00:05:50,840 Speaker 1: know that UM bad expert testimony and bad science contributes. 98 00:05:50,960 --> 00:05:54,799 Speaker 1: We know that false confessions are a problem, a big problem. 99 00:05:54,920 --> 00:06:03,120 Speaker 1: We know that UM mistaken identification is humongous, it's very large. 100 00:06:03,440 --> 00:06:07,280 Speaker 1: It's a problem. You know, you google anything online and 101 00:06:07,360 --> 00:06:11,039 Speaker 1: take a witness test like they have. You look at 102 00:06:11,080 --> 00:06:14,880 Speaker 1: a crime that happens and then view a lineup. Chances 103 00:06:14,920 --> 00:06:18,280 Speaker 1: are you're not gonna get it right. There's a big problems. 104 00:06:18,320 --> 00:06:22,160 Speaker 1: So as we identify and the Innocence Network is doing 105 00:06:22,160 --> 00:06:24,880 Speaker 1: a lot of work on this to identify the causes, 106 00:06:25,400 --> 00:06:29,200 Speaker 1: then we can, um, you know, approach as we're doing 107 00:06:29,200 --> 00:06:33,000 Speaker 1: in Illinois. We're approaching. We're approaching the legislature and saying 108 00:06:33,080 --> 00:06:38,080 Speaker 1: let's change the rule about informants, informants paid informants. That's 109 00:06:38,080 --> 00:06:41,039 Speaker 1: a big issue as well. So I think it definitely 110 00:06:41,360 --> 00:06:44,400 Speaker 1: can get better because we're narrowing in on the causes. 111 00:06:44,720 --> 00:06:46,960 Speaker 1: Next hour, when we take phone calls, maybe we'll get 112 00:06:47,000 --> 00:06:50,200 Speaker 1: some calls from police officers. We have many who listen 113 00:06:50,279 --> 00:06:52,320 Speaker 1: to us, and maybe they can share some of the stories. 114 00:06:52,320 --> 00:06:55,920 Speaker 1: Go ahead, I'm just gonna say we're seeing some systemic changes. 115 00:06:56,000 --> 00:06:58,479 Speaker 1: We're seeing for example, really only in the last couple 116 00:06:58,520 --> 00:07:04,400 Speaker 1: of years, Um Prosecutorial Office is now creating correction I 117 00:07:04,480 --> 00:07:09,760 Speaker 1: mean conviction review units where they understand they may have 118 00:07:09,840 --> 00:07:13,400 Speaker 1: made mistakes. They're looking over their old convictions to see 119 00:07:13,760 --> 00:07:16,680 Speaker 1: if they're satisfied with the job they did. That's what 120 00:07:16,800 --> 00:07:21,080 Speaker 1: we're after is for everybody to say it's possible we 121 00:07:21,120 --> 00:07:26,600 Speaker 1: didn't get it right. Has technology made things better? One 122 00:07:26,760 --> 00:07:30,160 Speaker 1: one example, DNA is more prevalent than it was twenty 123 00:07:30,440 --> 00:07:36,120 Speaker 1: thirty years ago. Does that help well? Interestingly, only of 124 00:07:36,120 --> 00:07:40,200 Speaker 1: the exonerations in the last uh twenty five years have 125 00:07:40,360 --> 00:07:43,200 Speaker 1: been as a result of DNA. It's not the magic 126 00:07:43,280 --> 00:07:46,440 Speaker 1: bullet that TV likes you to think it is. It 127 00:07:46,600 --> 00:07:52,360 Speaker 1: certainly helps UM, and more knowledge about forensic science is helping, 128 00:07:53,480 --> 00:07:59,400 Speaker 1: but partly it's also disabusing juries, judges, prosecutors that science 129 00:07:59,480 --> 00:08:02,600 Speaker 1: is magic. It's not. And we have a terrible problem 130 00:08:02,640 --> 00:08:05,720 Speaker 1: in this country of a shortage of crime labs and 131 00:08:05,800 --> 00:08:09,880 Speaker 1: a shortage of qualified technicians and crime labs. So in 132 00:08:09,920 --> 00:08:13,400 Speaker 1: many cases the science is bad, it's not done properly, 133 00:08:13,680 --> 00:08:16,840 Speaker 1: or it's not done at all. So let's talk about 134 00:08:16,880 --> 00:08:19,200 Speaker 1: some of these convictions and some of the reasons, as 135 00:08:19,200 --> 00:08:23,120 Speaker 1: you've just pointed out, Laura, of why they happen. Can 136 00:08:23,200 --> 00:08:28,200 Speaker 1: you also add UM framed and it does happen. We 137 00:08:28,240 --> 00:08:30,840 Speaker 1: don't expect it a lot, but I would assume it 138 00:08:30,880 --> 00:08:35,760 Speaker 1: does happen. People are framed by the prosecution. Who knows 139 00:08:35,840 --> 00:08:40,360 Speaker 1: what right I think, let me jump in and say 140 00:08:40,440 --> 00:08:43,080 Speaker 1: that this is a problem. Michael Connolly in his in 141 00:08:43,200 --> 00:08:48,360 Speaker 1: his Wonderful novels about the police detective talks about tunnel vision, 142 00:08:49,640 --> 00:08:53,240 Speaker 1: so framed in a sense of not necessarily an evil 143 00:08:53,280 --> 00:08:56,840 Speaker 1: prosecutor or an evil police officer, but someone who has 144 00:08:56,960 --> 00:09:01,680 Speaker 1: decided that's the guilty person who were there, and so 145 00:09:01,720 --> 00:09:06,800 Speaker 1: they start ignoring subtly, perhaps unconsciously, perhaps they ignore the 146 00:09:06,840 --> 00:09:10,040 Speaker 1: evidence of the contrary, they don't seek it out, they 147 00:09:10,080 --> 00:09:13,360 Speaker 1: may even suppress it as sort of irrelevant. And so 148 00:09:13,440 --> 00:09:19,280 Speaker 1: in a sense, yes, there are friends with what's been 149 00:09:19,360 --> 00:09:23,040 Speaker 1: happening with let's say the O. J. Simpson trial. You know, 150 00:09:23,120 --> 00:09:25,240 Speaker 1: he was he was acquitted. A lot of people still 151 00:09:25,240 --> 00:09:29,360 Speaker 1: still think he was guilty, but you know, those problems 152 00:09:29,440 --> 00:09:31,920 Speaker 1: with the police and the gloves and stuff like that, 153 00:09:32,120 --> 00:09:38,200 Speaker 1: was was he wrongfully planted? I think that's a different 154 00:09:38,280 --> 00:09:40,839 Speaker 1: kind of case. I want to emphasize here that when 155 00:09:40,840 --> 00:09:44,520 Speaker 1: we're talking about Axana Reeves Um and all of the 156 00:09:44,600 --> 00:09:47,680 Speaker 1: stories in our book about the people that we worked 157 00:09:47,679 --> 00:09:50,559 Speaker 1: with here, these are people who didn't get off on 158 00:09:50,600 --> 00:09:54,760 Speaker 1: a technicality. It wasn't a matter that the prosecution failed 159 00:09:54,800 --> 00:09:57,680 Speaker 1: to prove they were guilty. It's a matter that they 160 00:09:57,800 --> 00:10:02,800 Speaker 1: were found to be we say, factually innocent. Somebody else 161 00:10:02,840 --> 00:10:06,040 Speaker 1: did it. In many of these cases they ultimately found 162 00:10:06,360 --> 00:10:09,360 Speaker 1: the real wrong tour, not all of them, but in some. 163 00:10:09,520 --> 00:10:14,600 Speaker 1: But the court has decided these people are truly innocent, 164 00:10:14,840 --> 00:10:18,120 Speaker 1: not just acquitted. Listen to more Coast to Coast AM 165 00:10:18,240 --> 00:10:21,400 Speaker 1: every weeknight at one a m. Eastern and go to 166 00:10:21,480 --> 00:10:23,560 Speaker 1: Coast to Coast am dot com for more