1 00:00:00,160 --> 00:00:03,120 Speaker 1: Welcome to Worst Year Ever, a production of I Heart 2 00:00:03,240 --> 00:00:22,400 Speaker 1: Radio Together Everything, So don't don't do Hi, America and 3 00:00:22,840 --> 00:00:26,800 Speaker 1: other places that I presume exists but cannot currently prove 4 00:00:26,880 --> 00:00:30,040 Speaker 1: the reality of. Uh, this is the worst year ever, 5 00:00:30,640 --> 00:00:33,199 Speaker 1: as you're aware of because you're living through it. And 6 00:00:33,280 --> 00:00:36,000 Speaker 1: I am Robert Evans here today with my co hosts 7 00:00:38,080 --> 00:00:43,640 Speaker 1: Stole yp There we go, Cody dot Katie, Cody dot Katie, 8 00:00:44,120 --> 00:00:51,240 Speaker 1: Stole dot Kate. Um, you'd both be dot orgs. I 9 00:00:51,240 --> 00:00:54,639 Speaker 1: am not. I did not register myself as an organ. Oh, 10 00:00:54,720 --> 00:00:57,000 Speaker 1: you'd better not have done with dot us because that's 11 00:00:57,000 --> 00:00:59,840 Speaker 1: a real pain in the ass. M. I don't like 12 00:01:00,040 --> 00:01:07,720 Speaker 1: I accidentally ceo dot c O. Ye, that would be 13 00:01:07,800 --> 00:01:10,920 Speaker 1: good at Oh and you could be if you could, 14 00:01:11,120 --> 00:01:13,319 Speaker 1: if you move to Canada, you could be Katie dot 15 00:01:13,400 --> 00:01:17,760 Speaker 1: c A. I'd love to move to Canada. Actually, right 16 00:01:17,800 --> 00:01:22,759 Speaker 1: now I'm thinking Denmark looks good. Denmark's looking good. Uh. 17 00:01:22,800 --> 00:01:25,759 Speaker 1: You know who you know who did a really good 18 00:01:25,840 --> 00:01:31,840 Speaker 1: job of handling their coronavirus outbreak? Apparently? Yeah, I mean yes, 19 00:01:31,880 --> 00:01:34,080 Speaker 1: A number of places that aren't where we live did 20 00:01:34,240 --> 00:01:37,440 Speaker 1: did jobs in very different tactics. Yeah, it seems like 21 00:01:37,480 --> 00:01:41,560 Speaker 1: they got a handle on it, so I know, open 22 00:01:41,600 --> 00:01:49,480 Speaker 1: air prisons. Prisons. Yeah, well we are not. We hadn't 23 00:01:49,600 --> 00:01:54,280 Speaker 1: we We had not introduced the subject of this week's episode. 24 00:01:54,320 --> 00:01:58,280 Speaker 1: But Cody, thank you for doing that. We speaking of 25 00:01:58,400 --> 00:02:05,760 Speaker 1: prisons was the best that's every went one accident speaking 26 00:02:05,800 --> 00:02:09,160 Speaker 1: of prisons. Let's all stop saying that our homes are 27 00:02:09,200 --> 00:02:12,360 Speaker 1: like a prison, because that is not fair to prisons 28 00:02:12,600 --> 00:02:15,519 Speaker 1: or doing justice to the situation which we are going 29 00:02:15,560 --> 00:02:19,000 Speaker 1: to talk about today. Yes, yes, yeah, I'm always whenever 30 00:02:19,040 --> 00:02:22,639 Speaker 1: I hear that, I'm always reminded of Um. I apologize 31 00:02:22,680 --> 00:02:25,080 Speaker 1: to listeners that one episode of The Office where they 32 00:02:25,120 --> 00:02:28,959 Speaker 1: had like a prisoner work program, yes, and everyone was 33 00:02:29,000 --> 00:02:31,600 Speaker 1: referring to the Office as a prison, and Michael Scott 34 00:02:31,639 --> 00:02:35,120 Speaker 1: was like, no, it's actually good see and everyone's like, yeah, obviously, 35 00:02:35,360 --> 00:02:40,520 Speaker 1: obviously it's not like prison. Yes, although I will say, 36 00:02:40,680 --> 00:02:44,000 Speaker 1: are are are the current the current terms that under 37 00:02:44,000 --> 00:02:48,600 Speaker 1: which many Americans, including ourselves, are our our social distancing. 38 00:02:48,600 --> 00:02:50,360 Speaker 1: If you were going to compare it to a prison, 39 00:02:50,400 --> 00:02:52,080 Speaker 1: you might compare it to the kind of prison that 40 00:02:52,120 --> 00:02:55,560 Speaker 1: people go to after they steal billions of dollars um 41 00:02:55,680 --> 00:02:59,240 Speaker 1: and and cause tens of thousands of people to lose 42 00:02:59,280 --> 00:03:01,920 Speaker 1: their homes like that. It's like it's like it's like 43 00:03:02,080 --> 00:03:05,480 Speaker 1: white collar crime prison. It's broadly like that. It's like 44 00:03:05,560 --> 00:03:11,280 Speaker 1: Jeffrey Epstein prison. Well, no, no, no, the first time around, 45 00:03:11,360 --> 00:03:14,520 Speaker 1: the first time around he went, he went to a 46 00:03:14,600 --> 00:03:17,959 Speaker 1: cushy prison place where he was allowed out every day 47 00:03:17,960 --> 00:03:23,600 Speaker 1: to go to work. Yeah, we're all experiencing something that's like, 48 00:03:23,600 --> 00:03:27,160 Speaker 1: like broadly similar to how Jeffrey Epstein was incarcerated the 49 00:03:27,160 --> 00:03:29,440 Speaker 1: first time. Yes, that's that's a good way to look 50 00:03:29,440 --> 00:03:34,679 Speaker 1: at it. Yeah, my experiences to Yeah, is that the 51 00:03:34,760 --> 00:03:36,880 Speaker 1: end of the episode. Are we done now? Yeah, we're done. 52 00:03:37,000 --> 00:03:40,760 Speaker 1: We've we've hit it. No, speaking of open air prisons, 53 00:03:41,320 --> 00:03:47,160 Speaker 1: Jeffrey Epstein is episode. Yes, yeah, this was this was 54 00:03:47,200 --> 00:03:50,640 Speaker 1: all part of our our goal of tying Jeffrey Epstein's 55 00:03:50,640 --> 00:03:55,400 Speaker 1: first incarceration, uh to the the lockdown of Gaza Um 56 00:03:55,480 --> 00:03:58,119 Speaker 1: for reasons that I think have escaped us all and 57 00:03:58,360 --> 00:04:00,360 Speaker 1: never made a much sense to begin with, And we're 58 00:04:00,360 --> 00:04:04,600 Speaker 1: always a bad idea. Thank you for listening, yep. Goodbye. 59 00:04:05,920 --> 00:04:15,960 Speaker 1: In conclusion, goodbye, Uh, Okay, are we gonna start the episode? Um? 60 00:04:16,600 --> 00:04:19,120 Speaker 1: I'll go because I think my section probably first, because 61 00:04:19,120 --> 00:04:23,599 Speaker 1: it's about like yeah, okay, all right, So just for 62 00:04:23,720 --> 00:04:25,800 Speaker 1: listener's sake, none of us are doing great with the 63 00:04:25,880 --> 00:04:29,560 Speaker 1: quarantine today the month we're recording this, and and so 64 00:04:29,600 --> 00:04:31,640 Speaker 1: starting this episodes a little bit of a ship show 65 00:04:31,640 --> 00:04:33,760 Speaker 1: because I think I don't want to speak for everyone else, 66 00:04:33,760 --> 00:04:36,040 Speaker 1: but this is also me starting my week, and it's 67 00:04:36,080 --> 00:04:40,359 Speaker 1: not going great. It's definitely the beginning of a new week, 68 00:04:40,600 --> 00:04:44,440 Speaker 1: and UM, we're all to our best, which is not 69 00:04:44,680 --> 00:04:47,200 Speaker 1: very good. No, it's not. It doesn't sound like it's 70 00:04:47,240 --> 00:04:50,640 Speaker 1: great today. UM. We so obviously, as I'm sure at 71 00:04:50,720 --> 00:04:54,200 Speaker 1: least the title has indicated, we certainly have not the 72 00:04:54,560 --> 00:04:57,080 Speaker 1: hosts of the show. UM, but we're going to talk 73 00:04:57,120 --> 00:04:59,919 Speaker 1: about prisons today and this week. We have an interview 74 00:05:00,360 --> 00:05:03,919 Speaker 1: later this week as well on this topic. UM. Because 75 00:05:04,040 --> 00:05:07,960 Speaker 1: if you've been reading the news, which for that, I 76 00:05:07,960 --> 00:05:11,080 Speaker 1: am sorry if you have been. Um, there's a lot 77 00:05:11,120 --> 00:05:15,120 Speaker 1: of a lot of COVID cases in prisons, UM, and 78 00:05:15,200 --> 00:05:18,240 Speaker 1: a lot of discussion about what to do about that 79 00:05:18,560 --> 00:05:21,640 Speaker 1: and protests going on. We'll we'll get into all of it, 80 00:05:21,680 --> 00:05:24,359 Speaker 1: but is generally and like I won't get into the 81 00:05:24,360 --> 00:05:29,359 Speaker 1: conditions of prisons in general. I think listeners and hosts 82 00:05:29,360 --> 00:05:33,080 Speaker 1: and everybody probably No, it's not not great good guests. 83 00:05:33,279 --> 00:05:36,880 Speaker 1: Good guests would be not great. Um, but just in 84 00:05:36,960 --> 00:05:40,960 Speaker 1: terms of this pandemic and the things that we all 85 00:05:41,000 --> 00:05:45,440 Speaker 1: need to do, like social distancing. Um, the inmate population 86 00:05:45,520 --> 00:05:51,200 Speaker 1: federal prisons exceeds their rated capacity by twelve to Yeah, 87 00:05:52,160 --> 00:05:56,440 Speaker 1: if I can interject, I found a startling statistics. So 88 00:05:56,520 --> 00:05:59,960 Speaker 1: California has one of a really bad problem with current 89 00:06:00,040 --> 00:06:03,200 Speaker 1: virus and its prisons. Ten years ago, a federal court 90 00:06:03,320 --> 00:06:06,640 Speaker 1: ordered the state to reduce its in mate population and 91 00:06:06,760 --> 00:06:08,920 Speaker 1: they were required to reduce it to less than a 92 00:06:09,040 --> 00:06:12,960 Speaker 1: hundred and thirty seven point five percent of capacity. So 93 00:06:13,000 --> 00:06:15,880 Speaker 1: they were they were above a hundred and thirty five 94 00:06:15,920 --> 00:06:19,400 Speaker 1: point seven percent capacity of their prisons. Um, there are 95 00:06:19,520 --> 00:06:23,839 Speaker 1: today a hundred and fourteen thousand people housed in California's 96 00:06:23,880 --> 00:06:28,039 Speaker 1: main prisons, which were designed to support eighty five thousand people. 97 00:06:28,880 --> 00:06:32,280 Speaker 1: So just like, and that's as Cody saying, that's a 98 00:06:32,360 --> 00:06:35,039 Speaker 1: nationwide thing. I just picked California because it's kind of 99 00:06:35,040 --> 00:06:39,440 Speaker 1: like the starkest example. But um, that's like, that's like 100 00:06:39,720 --> 00:06:43,839 Speaker 1: say your your local concert hall is supposed to fit 101 00:06:44,000 --> 00:06:47,159 Speaker 1: three hundred people and they fit five hundred people in there. 102 00:06:47,240 --> 00:06:50,120 Speaker 1: You're not going to be happy about that for a 103 00:06:50,200 --> 00:06:53,400 Speaker 1: variety of reasons. And I actually do think it's maybe 104 00:06:53,400 --> 00:06:55,400 Speaker 1: a good idea just to quickly say some of the 105 00:06:55,480 --> 00:06:58,599 Speaker 1: things that are are wrong with prisons in general, even 106 00:06:58,640 --> 00:07:03,720 Speaker 1: outside of coronavirus, their existence, their existence, sure not the 107 00:07:03,760 --> 00:07:07,279 Speaker 1: whole conversation as well. But you know, it's not cleanly, 108 00:07:07,320 --> 00:07:11,320 Speaker 1: it's not safe. Uh they as you mentioned, you know, 109 00:07:12,440 --> 00:07:15,120 Speaker 1: overcrowding of prisons is a real epidemic, and it's a 110 00:07:15,120 --> 00:07:16,960 Speaker 1: real problem, and there's a lot of social issues and 111 00:07:17,040 --> 00:07:20,040 Speaker 1: reasons why it is that way. But it's impossible for 112 00:07:20,240 --> 00:07:24,600 Speaker 1: prisoners to keep distance from each other. It's impossible to 113 00:07:25,600 --> 00:07:30,800 Speaker 1: even maintain a bare minimum of cleanliness that is required 114 00:07:31,000 --> 00:07:34,400 Speaker 1: to survive this pandemic. You know, they don't have to 115 00:07:34,800 --> 00:07:38,600 Speaker 1: water like we do, or soap. Yeah, they can't. They 116 00:07:38,600 --> 00:07:41,840 Speaker 1: aren't allowed to have antibacterial soap because there's alcohol in 117 00:07:41,920 --> 00:07:43,960 Speaker 1: it and so they could drink it. Um. So that 118 00:07:44,040 --> 00:07:47,920 Speaker 1: was an initial problem. Another major problem is that nationwide 119 00:07:48,000 --> 00:07:51,800 Speaker 1: and estimated, incarcerated people in jails and prisons have at 120 00:07:51,880 --> 00:07:54,960 Speaker 1: least one chronic medical condition, which renders them significantly more 121 00:07:55,040 --> 00:07:59,760 Speaker 1: vulnerable to COVID nineteen UM. Thanks thanks for participating. By 122 00:07:59,800 --> 00:08:02,120 Speaker 1: the way, a Katie, in this long hijacking of Cody's 123 00:08:02,160 --> 00:08:04,920 Speaker 1: train of thought, you should return things to Cody now. 124 00:08:05,720 --> 00:08:08,280 Speaker 1: I mean it's all nested in the whole point, um, 125 00:08:08,320 --> 00:08:11,960 Speaker 1: which is that even if like let's say, even capacity 126 00:08:12,080 --> 00:08:17,120 Speaker 1: was down and uh that's not good. Uh that's not ideal. 127 00:08:17,200 --> 00:08:22,920 Speaker 1: No reason one likes to be on a full plane flight, right, Um, 128 00:08:23,520 --> 00:08:27,280 Speaker 1: like this wouldn't be an ideal situation to implement any 129 00:08:27,320 --> 00:08:30,240 Speaker 1: of these things anyway. And it just so happens that 130 00:08:30,320 --> 00:08:33,200 Speaker 1: it's much worse than that. Yeah, if the problem were 131 00:08:34,120 --> 00:08:39,520 Speaker 1: less bad than it is, it would be a problem, right, cool, 132 00:08:40,360 --> 00:08:45,320 Speaker 1: Very cool. Yeah, it's just it. It's happening everywhere in counties. 133 00:08:45,760 --> 00:08:49,640 Speaker 1: You'll see here is all these reported cases in this county, 134 00:08:49,720 --> 00:08:55,680 Speaker 1: like Brazoria County in Texas, cases were reported. Five of 135 00:08:55,679 --> 00:08:59,439 Speaker 1: those were from their facility. It's just over and over. 136 00:09:00,040 --> 00:09:02,880 Speaker 1: Last week, the majority of inmates hadn't been tested. In 137 00:09:02,880 --> 00:09:06,560 Speaker 1: Cook County Jail in Chicago, even though the majority had 138 00:09:06,559 --> 00:09:09,200 Speaker 1: not been tested, they still had two hundred and thirty 139 00:09:09,200 --> 00:09:14,080 Speaker 1: inmates and one fifteen staff members testing positive. In Ohio, 140 00:09:14,280 --> 00:09:20,079 Speaker 1: the Marrying Correctional Institution had two thousand, eleven inmates testing positive, 141 00:09:20,520 --> 00:09:24,600 Speaker 1: which is eight percent of their prison population. UM. Again 142 00:09:24,640 --> 00:09:27,720 Speaker 1: speaking of staff, on d fifty four of fifty staff 143 00:09:28,120 --> 00:09:32,480 Speaker 1: UH tested positive. UM. And also NPR reported that, Uh 144 00:09:32,520 --> 00:09:36,439 Speaker 1: these tests were two thousand eleven inmates were testing positive. 145 00:09:36,880 --> 00:09:41,040 Speaker 1: They didn't even get to see the results of their tests. UM. 146 00:09:41,280 --> 00:09:44,120 Speaker 1: They like, the tests were done and they found out, 147 00:09:44,120 --> 00:09:48,440 Speaker 1: oh this many prisoners here had are testing positive, but 148 00:09:49,120 --> 00:09:52,360 Speaker 1: the individuals did not get informed of whether or not 149 00:09:52,400 --> 00:09:56,280 Speaker 1: they tested positive. UM, which makes all of the things 150 00:09:56,280 --> 00:10:00,079 Speaker 1: that we need to do harder. UM. Again would to 151 00:10:00,160 --> 00:10:04,480 Speaker 1: been easy, but they made it harder. UM. There's a 152 00:10:04,520 --> 00:10:08,560 Speaker 1: lot security prison in San Pedro called Terminal Island UM 153 00:10:08,640 --> 00:10:13,760 Speaker 1: and nine cute name, a great name for the current situation. 154 00:10:13,880 --> 00:10:17,640 Speaker 1: Terminal Island, my god, Uh, six ninety three of its 155 00:10:17,840 --> 00:10:21,679 Speaker 1: one thousand, forty two and sixty of their prison are 156 00:10:21,679 --> 00:10:30,560 Speaker 1: testing positive. UM and nice yeah, really close to being nice. Um. 157 00:10:30,760 --> 00:10:35,120 Speaker 1: But it's just case after case of this kind of thing. Yeah. 158 00:10:35,200 --> 00:10:39,800 Speaker 1: And there's the uh speaking of like funk ups in prisons. 159 00:10:39,960 --> 00:10:42,600 Speaker 1: There was just like, Michigan has the highest death rate 160 00:10:42,679 --> 00:10:45,600 Speaker 1: of any UH state in terms of like prisoners dying 161 00:10:45,640 --> 00:10:48,240 Speaker 1: of COVID nineteen and a story just dropped a few 162 00:10:48,280 --> 00:10:51,040 Speaker 1: days ago that three inmates who were infected were sent 163 00:10:51,120 --> 00:10:53,960 Speaker 1: to one of Michigan's prisons that had no coronavirus cases 164 00:10:54,200 --> 00:10:58,640 Speaker 1: just because up and testing, which is craft. But it 165 00:10:58,720 --> 00:11:02,320 Speaker 1: wasn't full of mirth or away. And yeah, like you were, 166 00:11:02,400 --> 00:11:04,800 Speaker 1: you were alluding to, like a lot of them, A 167 00:11:04,800 --> 00:11:08,760 Speaker 1: lot of prisoners have pre existing conditions and certain extreme cases. 168 00:11:09,280 --> 00:11:14,440 Speaker 1: Um and Uh, there's what Federal Medical Center in Fort Worth, 169 00:11:14,559 --> 00:11:18,160 Speaker 1: which is where a lot of them go. Um, there 170 00:11:18,160 --> 00:11:24,600 Speaker 1: are at six cases there out of four sixty three people. Um. 171 00:11:24,600 --> 00:11:29,280 Speaker 1: It's because of the conditions of not only the facilities, 172 00:11:29,280 --> 00:11:32,840 Speaker 1: but also of the inmates there. Um and so it's 173 00:11:32,920 --> 00:11:36,800 Speaker 1: just there's so many everywhere, and it's it's clearly a 174 00:11:36,920 --> 00:11:41,120 Speaker 1: problem these kinds of places specifically. Um and there. You 175 00:11:41,120 --> 00:11:47,040 Speaker 1: know prisons, we all we all know co hosts and listeners, 176 00:11:47,080 --> 00:11:50,040 Speaker 1: everybody of the problems with prisons in general. We've talked 177 00:11:50,040 --> 00:11:51,880 Speaker 1: about it on the show. Um. But there's just so 178 00:11:51,920 --> 00:11:59,960 Speaker 1: many people there that are elderly that have these can 179 00:12:00,000 --> 00:12:04,040 Speaker 1: auditions and problems, that have been in prison for decades 180 00:12:04,720 --> 00:12:08,040 Speaker 1: and probably don't need to be there anymore. Like there's 181 00:12:08,040 --> 00:12:12,400 Speaker 1: a study from the Brennan Center for Justice that found 182 00:12:12,520 --> 00:12:15,520 Speaker 1: no compelling public safety reason to incarce rate thirty nine 183 00:12:15,559 --> 00:12:18,920 Speaker 1: percent of the inmates in state and federal prisons. It's 184 00:12:18,960 --> 00:12:22,800 Speaker 1: about five seventy six thousand people. Elderly Americans are especially 185 00:12:22,880 --> 00:12:26,240 Speaker 1: unlikely to commit further crimes once released. The United States 186 00:12:26,240 --> 00:12:28,760 Speaker 1: Sentence and Commission found in twenty seventeen the defenders over 187 00:12:28,800 --> 00:12:31,440 Speaker 1: the age of sixty five had just a thirteen point 188 00:12:31,480 --> 00:12:34,000 Speaker 1: four percent chance of being re arrested in an eight 189 00:12:34,080 --> 00:12:37,080 Speaker 1: year period after release, compared to a sixty seven point 190 00:12:37,160 --> 00:12:40,640 Speaker 1: six percent chance for those under age twenty one. UM. 191 00:12:40,679 --> 00:12:42,440 Speaker 1: So these are people who have been in prison for 192 00:12:42,559 --> 00:12:46,199 Speaker 1: decades and decades for things, you know, ranging from uh, 193 00:12:46,520 --> 00:12:48,320 Speaker 1: it could be a violent defense, it could be like 194 00:12:48,480 --> 00:12:51,720 Speaker 1: a tax thing, it could be any like having like 195 00:12:51,760 --> 00:12:54,480 Speaker 1: a little bit of weed on him, who knows. Um. 196 00:12:54,520 --> 00:12:57,679 Speaker 1: But they're over sixty five, and if you release them 197 00:12:57,679 --> 00:13:01,239 Speaker 1: into the public to get them out of this situation 198 00:13:01,280 --> 00:13:03,120 Speaker 1: that they're not in there for this, they're not in 199 00:13:03,160 --> 00:13:08,040 Speaker 1: there to die of this virus UM, then it's not 200 00:13:08,120 --> 00:13:12,640 Speaker 1: like an immense threat to public safety to release them. 201 00:13:12,679 --> 00:13:17,480 Speaker 1: And it's very frustrating because, um, if you if you 202 00:13:17,800 --> 00:13:22,719 Speaker 1: try to lay out the actual facts of incarceration in America. Um, 203 00:13:22,880 --> 00:13:28,240 Speaker 1: you wind up like like ian like okay. So one 204 00:13:28,280 --> 00:13:30,800 Speaker 1: of the arguments you'll hear for people who will complain 205 00:13:30,840 --> 00:13:33,200 Speaker 1: about how many people are incarcerated is the number of 206 00:13:33,240 --> 00:13:36,160 Speaker 1: non violent drug offenders, and that is a problem. But 207 00:13:36,320 --> 00:13:40,079 Speaker 1: the the reality of the situation is that most people 208 00:13:40,120 --> 00:13:43,080 Speaker 1: who are incarcerated in the United States for long sentences 209 00:13:43,280 --> 00:13:47,079 Speaker 1: have committed some sort of violent crime. UM. The numbers 210 00:13:47,080 --> 00:13:51,000 Speaker 1: are that about fifty of federal inmates something somewhere around there, 211 00:13:51,040 --> 00:13:54,040 Speaker 1: a little over half are on some sort of drug offense. 212 00:13:54,080 --> 00:13:57,160 Speaker 1: But that's about ten percent of the incarcerated total UM. 213 00:13:57,320 --> 00:14:00,240 Speaker 1: And more than half of people who are incarce aided 214 00:14:00,240 --> 00:14:02,320 Speaker 1: in state prisons have some sort of violent offense. Now 215 00:14:02,360 --> 00:14:04,400 Speaker 1: that's even more complicated than it sounds for a number 216 00:14:04,400 --> 00:14:08,319 Speaker 1: of reasons. One of them is that when you like 217 00:14:08,360 --> 00:14:10,520 Speaker 1: the data that we have that determines like whether or 218 00:14:10,559 --> 00:14:13,120 Speaker 1: not somebody's you know, doing time for a violent or 219 00:14:13,240 --> 00:14:16,640 Speaker 1: non violent defense, it is based on what is marked 220 00:14:16,640 --> 00:14:20,640 Speaker 1: down as their most severe UM charge. So in a 221 00:14:20,720 --> 00:14:22,520 Speaker 1: lot of cases that means that someone who has domestic 222 00:14:22,600 --> 00:14:26,360 Speaker 1: violence and a heroin charge might look like a non 223 00:14:26,520 --> 00:14:29,160 Speaker 1: violent heroin offender, even though no, that's a person who 224 00:14:29,200 --> 00:14:31,200 Speaker 1: actually did commit a violent crime. It's just that our 225 00:14:31,200 --> 00:14:34,600 Speaker 1: system considered the heroine crime to be a more severe crime. Um. 226 00:14:34,720 --> 00:14:36,760 Speaker 1: The second factor in that, though, is that a lot 227 00:14:36,800 --> 00:14:39,960 Speaker 1: of people who commit crimes like robbery and burglary that 228 00:14:40,120 --> 00:14:43,200 Speaker 1: may not have involved a violent crime but are considered 229 00:14:43,320 --> 00:14:47,560 Speaker 1: violent crimes get written down as violent criminals. Um. But 230 00:14:47,840 --> 00:14:52,040 Speaker 1: the broader issue is that this leads to a situation 231 00:14:52,080 --> 00:14:55,560 Speaker 1: wherein a lot of Americans, if if they find out 232 00:14:55,600 --> 00:14:59,240 Speaker 1: someone has a violent crime in their history period, um, 233 00:14:59,320 --> 00:15:01,200 Speaker 1: then they suddenly have no desire in You know, a 234 00:15:01,240 --> 00:15:02,800 Speaker 1: lot of Americans have gotten on board the idea that 235 00:15:02,880 --> 00:15:05,880 Speaker 1: like drug offenders should be let out and consistently, when 236 00:15:05,920 --> 00:15:08,280 Speaker 1: people are asked to estimate what percentage of the prison 237 00:15:08,320 --> 00:15:12,960 Speaker 1: population are non violent drug offenders, they vastly overestimate how 238 00:15:13,000 --> 00:15:16,040 Speaker 1: many Americans are just in prison for a drug offense. 239 00:15:16,680 --> 00:15:20,280 Speaker 1: But when and so when people find out like like 240 00:15:20,320 --> 00:15:21,920 Speaker 1: like like so when you you've looked at the way 241 00:15:21,960 --> 00:15:24,520 Speaker 1: governors have approached talking about releasing because like in New 242 00:15:24,600 --> 00:15:27,000 Speaker 1: York and in Californian and Michigan, in a number of 243 00:15:27,000 --> 00:15:30,680 Speaker 1: states Washington, UM, you have had governors releasing at least 244 00:15:30,680 --> 00:15:33,480 Speaker 1: temporarily non violent offenders, but they all point out that 245 00:15:33,520 --> 00:15:36,000 Speaker 1: they don't want to release violent offenders and that this 246 00:15:36,040 --> 00:15:39,880 Speaker 1: will not affect violent offenders. And as Cody notes, for 247 00:15:39,960 --> 00:15:45,320 Speaker 1: one thing, it is incredibly unlikely for elderly offenders to reoffend. 248 00:15:45,440 --> 00:15:50,960 Speaker 1: It very very rarely happens. Just to interject like, isn't 249 00:15:51,000 --> 00:15:55,400 Speaker 1: that the point? Like, yeah, it should be like that 250 00:15:55,560 --> 00:16:02,200 Speaker 1: people emergeformative restorative justice, like people should be the point, 251 00:16:02,560 --> 00:16:04,960 Speaker 1: and it would be the point, and it it it's 252 00:16:05,080 --> 00:16:07,840 Speaker 1: it's this we have this difficulty. So there's another study 253 00:16:07,960 --> 00:16:10,760 Speaker 1: was reading about where they they asked people to imagine 254 00:16:10,800 --> 00:16:13,120 Speaker 1: one of their um, their relatives, a loved one, a 255 00:16:13,200 --> 00:16:16,880 Speaker 1: family member was murdered, and what sentence they think would 256 00:16:16,880 --> 00:16:20,760 Speaker 1: be effective, would be fair for the murderer, And people 257 00:16:20,800 --> 00:16:23,640 Speaker 1: pick obviously very very harsh sentences. They want they want 258 00:16:24,000 --> 00:16:26,200 Speaker 1: the book thrown at the person who took their loved 259 00:16:26,200 --> 00:16:28,920 Speaker 1: one away from them, which of course makes sense. But 260 00:16:29,120 --> 00:16:31,240 Speaker 1: when people are asked to imagine that a loved one 261 00:16:31,280 --> 00:16:35,200 Speaker 1: committed one of those crimes, um they consider the recommended 262 00:16:35,240 --> 00:16:38,800 Speaker 1: sentence to be considerably more lenient. Because when we think 263 00:16:38,800 --> 00:16:41,840 Speaker 1: about people we care about it's easier to imagine even 264 00:16:41,880 --> 00:16:44,960 Speaker 1: if they did something horrible, Um, we can imagine them 265 00:16:45,000 --> 00:16:47,680 Speaker 1: redeeming themselves because we see them as complete human beings 266 00:16:47,720 --> 00:16:50,880 Speaker 1: who may have done something terrible but that aren't washed 267 00:16:50,880 --> 00:16:53,280 Speaker 1: out and so like that. This is part of the 268 00:16:53,280 --> 00:16:57,680 Speaker 1: complexity of communicating the issues that we're having with incarceration 269 00:16:57,720 --> 00:17:00,760 Speaker 1: to people. I've had a really interesting article hole in 270 00:17:00,920 --> 00:17:04,679 Speaker 1: um a Washington. It was like a Washington conservative radio 271 00:17:05,480 --> 00:17:08,960 Speaker 1: uh jock kind of piece of ship, Jason Rants, who 272 00:17:09,040 --> 00:17:14,159 Speaker 1: was complaining that Governor Insley had released about a thousand prisoners, um, 273 00:17:14,200 --> 00:17:17,960 Speaker 1: which is is was uh not a lot of prisoners. 274 00:17:17,960 --> 00:17:19,320 Speaker 1: So this guy was pointing out that like, well, we 275 00:17:19,320 --> 00:17:20,800 Speaker 1: said on the right when they said, you know, we 276 00:17:20,880 --> 00:17:23,680 Speaker 1: conservatives said that when they started releasing prisoners, was gonna 277 00:17:23,680 --> 00:17:26,040 Speaker 1: go bad. And sure enough, just a couple of weeks 278 00:17:26,080 --> 00:17:28,439 Speaker 1: after he released these prisoners, you know, a bunch of 279 00:17:28,440 --> 00:17:30,399 Speaker 1: them have reoffended. And then you get through the article 280 00:17:30,440 --> 00:17:33,359 Speaker 1: and it turns out that three people have reoffended, and 281 00:17:33,440 --> 00:17:36,840 Speaker 1: the three re offenses out of the thousand, what's the 282 00:17:37,680 --> 00:17:41,480 Speaker 1: legal definition of a bunch? Yeah, yeah, he says that, 283 00:17:41,640 --> 00:17:44,520 Speaker 1: Um yeah, it's it's it's very frustrating. So and the 284 00:17:44,600 --> 00:17:46,960 Speaker 1: and the three offenses are one person like went on 285 00:17:46,960 --> 00:17:49,440 Speaker 1: a high speed chase and was charged with a felony 286 00:17:49,440 --> 00:17:53,520 Speaker 1: account of eluding police um and to misdemeanor charges of 287 00:17:53,560 --> 00:17:57,240 Speaker 1: obstructing an officer and driving with a suspended license. Um. 288 00:17:57,280 --> 00:18:00,840 Speaker 1: No violent crimes, no one hurt, nothing, nothing all. I 289 00:18:00,840 --> 00:18:06,000 Speaker 1: wonder when he could have renewed his license. Yeah, he's 290 00:18:06,040 --> 00:18:09,199 Speaker 1: been out. I wonder why he ran away from the 291 00:18:09,240 --> 00:18:13,919 Speaker 1: cops that he's afraid of. Yeah, it's frustrating. Another person 292 00:18:14,200 --> 00:18:17,919 Speaker 1: UM had gotten high on methamphetamines and used a crowbar 293 00:18:18,040 --> 00:18:22,000 Speaker 1: to break wooden boards that were like had been boarded 294 00:18:22,040 --> 00:18:23,840 Speaker 1: up over a window. Like he was just like fucked 295 00:18:23,880 --> 00:18:26,960 Speaker 1: up on meth and hitting boards with a crowbar. So again, 296 00:18:27,720 --> 00:18:32,440 Speaker 1: no real damage to poverty and no violence against the human. 297 00:18:33,000 --> 00:18:36,360 Speaker 1: And then the third person had stolen seventy dollars from 298 00:18:36,400 --> 00:18:42,000 Speaker 1: a grocery worth of items from a grocery store. Yeah, okay, yeah, 299 00:18:42,720 --> 00:18:46,840 Speaker 1: it's like, yeah, boy, sure would be better if they 300 00:18:46,840 --> 00:18:53,199 Speaker 1: were dying. And this is what I like. This is 301 00:18:53,240 --> 00:18:55,399 Speaker 1: why it's one of the frosting things too for me 302 00:18:55,520 --> 00:18:58,320 Speaker 1: is seeing like seeing that framing of it, and I'm 303 00:18:58,359 --> 00:19:03,800 Speaker 1: sure I'm sure that this rants fellow. Ah, if it 304 00:19:03,880 --> 00:19:06,520 Speaker 1: were not like a radio rant or whatever, if it 305 00:19:06,560 --> 00:19:09,359 Speaker 1: was like a published piece, they would have shown the 306 00:19:09,400 --> 00:19:12,360 Speaker 1: original mug shots of those people when they were originally 307 00:19:12,440 --> 00:19:16,320 Speaker 1: arrested as the photo that you see of them. Uh, 308 00:19:16,359 --> 00:19:19,040 Speaker 1: because they're scary. There's the mug shots are scary, you see, 309 00:19:19,280 --> 00:19:21,240 Speaker 1: So yeah, to show those, So you got to show 310 00:19:21,280 --> 00:19:24,520 Speaker 1: them people out there worst. Um, we need to take 311 00:19:24,520 --> 00:19:27,080 Speaker 1: a really quick break, you know, for the products and 312 00:19:27,119 --> 00:19:29,840 Speaker 1: services that you know drive this show. But then we're 313 00:19:29,880 --> 00:19:32,560 Speaker 1: gonna come back and we're gonna talk about some of 314 00:19:32,560 --> 00:19:35,080 Speaker 1: the protests we're seeing pop up around the country and 315 00:19:35,880 --> 00:19:39,160 Speaker 1: what they are protesting all that stuff. You know. Yeah, 316 00:19:39,359 --> 00:19:43,680 Speaker 1: I'm gonna reopen the gems, take some meth hit boards 317 00:19:43,720 --> 00:19:49,040 Speaker 1: with a crowbar and justify your incarceration and death by 318 00:19:49,080 --> 00:20:00,760 Speaker 1: a virus in doing so, and also products together, everything 319 00:20:03,840 --> 00:20:10,680 Speaker 1: we are have become returned. We are have become returned. Indeed, Um, 320 00:20:10,760 --> 00:20:14,000 Speaker 1: as I alluded to before the break, I'm gonna talk 321 00:20:14,280 --> 00:20:17,560 Speaker 1: a little bit about the prison protests that we are 322 00:20:17,600 --> 00:20:22,680 Speaker 1: seeing popping up and uh, to your point, Cody, Yes, 323 00:20:22,800 --> 00:20:29,720 Speaker 1: earlier on people probably have heard about how jails are epicenters, 324 00:20:29,760 --> 00:20:34,000 Speaker 1: truly epicenters for the outbreaks that we're seeing throughout America, 325 00:20:34,200 --> 00:20:37,520 Speaker 1: not just because of the prisoners, although everybody should be 326 00:20:37,560 --> 00:20:40,200 Speaker 1: caring about the fact that prisoners are being treated un humanely, 327 00:20:40,560 --> 00:20:45,000 Speaker 1: but also correctional officers, people that work in the facilities 328 00:20:45,240 --> 00:20:49,080 Speaker 1: and then go home and spread the virus to the 329 00:20:49,800 --> 00:20:52,720 Speaker 1: counties that they live in. So that's really important and 330 00:20:52,720 --> 00:20:55,760 Speaker 1: and hopefully you guys have seen that and you are 331 00:20:55,920 --> 00:20:59,720 Speaker 1: aware of the situation, just like nursing homes are also epicenters. Okay, 332 00:20:59,720 --> 00:21:05,879 Speaker 1: get off topic, but my problem is that the mainstream 333 00:21:05,920 --> 00:21:10,200 Speaker 1: media has not and has never been good about covering 334 00:21:10,640 --> 00:21:18,160 Speaker 1: protests around prisons, you know, the lamb stream. Oh my god. 335 00:21:18,880 --> 00:21:23,080 Speaker 1: I mean, we have seen hunger strikes at prisons in 336 00:21:23,119 --> 00:21:26,960 Speaker 1: the past, for for conditions that we've talked about, you know, 337 00:21:27,720 --> 00:21:29,879 Speaker 1: all sorts of strikes, and they never really break the 338 00:21:29,920 --> 00:21:33,439 Speaker 1: surface of of media coverage. And I find that that 339 00:21:33,600 --> 00:21:37,000 Speaker 1: is true here. I mean, there are there are definitely 340 00:21:37,160 --> 00:21:39,920 Speaker 1: little articles about all this stuff popping up, but I 341 00:21:40,440 --> 00:21:44,679 Speaker 1: don't see very much top down coverage of of these things. 342 00:21:44,920 --> 00:21:47,480 Speaker 1: Um so I've probably together something of a list here. 343 00:21:48,600 --> 00:21:51,480 Speaker 1: I want to also just really like that on that point, 344 00:21:51,560 --> 00:21:56,080 Speaker 1: like they can't get enough of covering the protests of 345 00:21:56,119 --> 00:21:58,240 Speaker 1: the people who want to go to the right exactly. 346 00:21:58,200 --> 00:22:03,760 Speaker 1: They are obsessed with the haircut people, um but they 347 00:22:03,800 --> 00:22:06,600 Speaker 1: can't bring themselves to do more than a minute on 348 00:22:06,720 --> 00:22:10,240 Speaker 1: like on these or even just like nurses and doctors protesting. 349 00:22:10,840 --> 00:22:14,000 Speaker 1: There's so many other protests going on that aren't just 350 00:22:14,119 --> 00:22:16,359 Speaker 1: a bunch of weirdos who want to get a fucking haircut. 351 00:22:17,359 --> 00:22:21,560 Speaker 1: Very frustrating. Yeah, they're also not covering. Yeah, yeah, there's 352 00:22:21,600 --> 00:22:27,560 Speaker 1: it's it's frustrating. Is we all agreed on that. It's frustrating. 353 00:22:28,320 --> 00:22:31,320 Speaker 1: It's settled. That's why we're talking about it here today. 354 00:22:31,400 --> 00:22:34,760 Speaker 1: And I assume that the majority of our listeners care 355 00:22:35,000 --> 00:22:40,320 Speaker 1: about the conditions these people are living through. But if 356 00:22:40,359 --> 00:22:42,800 Speaker 1: you don't at least care about the fact this is 357 00:22:43,000 --> 00:22:45,360 Speaker 1: this is a very compelling argument that our country will 358 00:22:45,400 --> 00:22:48,200 Speaker 1: not have this under control until we figure out how 359 00:22:48,840 --> 00:22:52,320 Speaker 1: to handle the outbreaks in prisons as well. Okay, cool, 360 00:22:52,600 --> 00:22:56,280 Speaker 1: So some of the places that have had protests. In April, 361 00:22:56,280 --> 00:22:59,879 Speaker 1: more than a hundred prisoners at Monroe Prison in Washington State, 362 00:23:00,760 --> 00:23:06,119 Speaker 1: um UH protested after six prisoners and five staff members 363 00:23:06,119 --> 00:23:10,359 Speaker 1: were diagnosed with COVID nineteen. From what I understand, a 364 00:23:10,400 --> 00:23:12,919 Speaker 1: couple of fire alarms were set off and then the 365 00:23:12,920 --> 00:23:15,480 Speaker 1: buildings were evacuated, leading the innate sitting in a field, 366 00:23:15,680 --> 00:23:18,120 Speaker 1: some of them in masks, protesting the lack of attention 367 00:23:18,119 --> 00:23:21,639 Speaker 1: being paid to the situation. Eventually, the infected prisoners were 368 00:23:21,680 --> 00:23:27,080 Speaker 1: moved to isolation units. So that's something, although also a 369 00:23:27,160 --> 00:23:32,920 Speaker 1: thing um here in California, I don't know what that means. 370 00:23:33,000 --> 00:23:35,639 Speaker 1: And then the official word from the prison is the 371 00:23:35,720 --> 00:23:39,119 Speaker 1: situation is under control. Okay, don't worry, we put them 372 00:23:39,119 --> 00:23:44,960 Speaker 1: in solitary. Yeah. Here in California, citizens organized a protest 373 00:23:45,000 --> 00:23:49,639 Speaker 1: outside of San Quentin um, which is personally important to me. 374 00:23:50,280 --> 00:23:53,880 Speaker 1: I do not have a family member in San Quentin currently, 375 00:23:53,960 --> 00:23:56,160 Speaker 1: but I have had a family member in San Quentin 376 00:23:56,240 --> 00:23:59,520 Speaker 1: in the past for a long time. It was a 377 00:23:59,520 --> 00:24:06,719 Speaker 1: horrifying experience. Uh, they were drug charges and uh, you know, 378 00:24:08,520 --> 00:24:11,400 Speaker 1: because of other things ends up there. It's a whole thing. 379 00:24:11,440 --> 00:24:15,480 Speaker 1: But anyway, that to me stood out because I have 380 00:24:15,600 --> 00:24:17,640 Speaker 1: spent a lot of time worrying about a loved one 381 00:24:18,040 --> 00:24:23,399 Speaker 1: who has been incarcerated specifically there. Anyway, organizers respected social 382 00:24:23,440 --> 00:24:27,840 Speaker 1: distancing by using a car caravan to demonstrate on Saturday. 383 00:24:28,160 --> 00:24:31,520 Speaker 1: You know, they would circle around, you know, hanking their horns, 384 00:24:31,920 --> 00:24:36,119 Speaker 1: protesting the conditions in there. They were also calling for 385 00:24:36,320 --> 00:24:39,960 Speaker 1: prisoners who are over the age of sixty to be released. Yeah, 386 00:24:39,960 --> 00:24:42,760 Speaker 1: there have been similar car protests like that all over 387 00:24:42,800 --> 00:24:46,600 Speaker 1: the states. In Indiana back in April, organizers circled Westville 388 00:24:46,600 --> 00:24:50,000 Speaker 1: Correctional Facility after a hundred and forty three inmates and 389 00:24:50,040 --> 00:24:54,000 Speaker 1: thirty six correctional officers tested positive for coronavirus. And Raleigh, 390 00:24:54,040 --> 00:24:57,840 Speaker 1: North Korean, Rolina. Just this past weekend, another socially distant 391 00:24:57,840 --> 00:25:01,119 Speaker 1: protest was organized. Cars circle the central prison, honking horns, 392 00:25:01,160 --> 00:25:05,399 Speaker 1: and other people marched on foot carrying signs. This is 393 00:25:05,640 --> 00:25:09,600 Speaker 1: from a local news station there. Julie Schneider, organizer of 394 00:25:09,640 --> 00:25:12,600 Speaker 1: the protest, joined the dozens of people who took part 395 00:25:12,680 --> 00:25:15,439 Speaker 1: in the social distance protests in their vehicles as others 396 00:25:15,440 --> 00:25:17,359 Speaker 1: held up signs while walking around the prison. She and 397 00:25:17,359 --> 00:25:20,440 Speaker 1: others demanded an end to solitary confinement practices and improved 398 00:25:20,440 --> 00:25:24,000 Speaker 1: food and medical treatment during the coronavirus outbreak. Over years 399 00:25:24,000 --> 00:25:26,720 Speaker 1: and years, what we've seen in DPS facilities is systemic 400 00:25:26,800 --> 00:25:30,439 Speaker 1: ignoring if any kind of human rights, so that happened there. 401 00:25:31,080 --> 00:25:34,600 Speaker 1: There were also similar protests also in North Carolina and Goldsboro. 402 00:25:34,960 --> 00:25:39,640 Speaker 1: In Cleveland, actually city councilmen, but shir Jones took part 403 00:25:39,880 --> 00:25:43,960 Speaker 1: in a COVID nineteen protests outside the Marian Correctional Institution. 404 00:25:45,680 --> 00:25:49,760 Speaker 1: They have over more than two thousand infected inmates and 405 00:25:49,840 --> 00:25:53,719 Speaker 1: over a hundred and seventy five staff members UH with 406 00:25:53,800 --> 00:25:57,600 Speaker 1: coronavirus as of early May. UH. Marian is considered one 407 00:25:57,600 --> 00:26:00,879 Speaker 1: of the hardest hit COVID nineteen hot pots in the nation. 408 00:26:01,440 --> 00:26:05,040 Speaker 1: That's both believable and wildly unbelievable. You know, this is 409 00:26:05,080 --> 00:26:08,520 Speaker 1: an enormous outbreak. Again pointing to what I'd said earlier, 410 00:26:08,760 --> 00:26:10,880 Speaker 1: it doesn't stay contained in the prison. It goes out 411 00:26:10,920 --> 00:26:14,560 Speaker 1: to the community. Gosh, there's so many more. They're in Portland, 412 00:26:14,640 --> 00:26:17,720 Speaker 1: in San Diego and Florida. It's just these are not 413 00:26:17,800 --> 00:26:20,399 Speaker 1: stories that many people are aware of and tracking, or 414 00:26:20,440 --> 00:26:23,879 Speaker 1: even no are happening so that they could go and 415 00:26:24,000 --> 00:26:27,640 Speaker 1: join in the protests, you know what I mean. UM, 416 00:26:27,680 --> 00:26:32,760 Speaker 1: And that leads me to ICE facilities UM detainees that 417 00:26:32,880 --> 00:26:36,000 Speaker 1: several ICE facilities have gone on strike to demand sanitary 418 00:26:36,040 --> 00:26:38,920 Speaker 1: supplies UH and apparently in some places, it's been sort 419 00:26:38,920 --> 00:26:42,080 Speaker 1: of effective. Federal judges in California and Pennsylvania have ordered 420 00:26:42,080 --> 00:26:45,680 Speaker 1: ICE to release several detainees who have sued UH and 421 00:26:45,720 --> 00:26:48,479 Speaker 1: there are also lawsuits happening in other states, though I'm 422 00:26:48,520 --> 00:26:51,520 Speaker 1: not clear where they stand at this point, but it's 423 00:26:51,600 --> 00:26:55,119 Speaker 1: very case by case. UM. At the Stewart Detention Center, 424 00:26:55,200 --> 00:26:59,200 Speaker 1: which is a privately run ICE facility in Georgia, there 425 00:26:59,200 --> 00:27:03,960 Speaker 1: have been some unsuccessful examples of impaintes protesting their treatment 426 00:27:04,000 --> 00:27:08,439 Speaker 1: during the pandemic. Apparently sick patients were being ignored, the 427 00:27:08,520 --> 00:27:11,439 Speaker 1: problems weren't being addressed. UM. And this one I'm going 428 00:27:11,520 --> 00:27:15,040 Speaker 1: to read from is from the intercept. Carlos was on 429 00:27:15,080 --> 00:27:17,400 Speaker 1: his bed feeling sick when he turned to look out 430 00:27:17,400 --> 00:27:20,240 Speaker 1: the window and saw a group of detainees running out 431 00:27:20,240 --> 00:27:23,440 Speaker 1: a side door leading to a recreation yard. Several correctional 432 00:27:23,480 --> 00:27:26,520 Speaker 1: officers were giving chase. At first, Carlo thought that there 433 00:27:26,600 --> 00:27:29,320 Speaker 1: was a fire, but he saw correctional staff use pepper 434 00:27:29,359 --> 00:27:33,679 Speaker 1: spray and the detainees. Daniel, another detainee whose name has 435 00:27:33,720 --> 00:27:35,800 Speaker 1: also been changed, saw it all happened from a unit 436 00:27:35,840 --> 00:27:39,199 Speaker 1: across the hall. People were asking for medical attention for 437 00:27:39,240 --> 00:27:41,439 Speaker 1: some of the sick people in here, Daniel said. But 438 00:27:41,520 --> 00:27:45,600 Speaker 1: because they the staff didn't pay attention, they began protesting. 439 00:27:45,960 --> 00:27:49,240 Speaker 1: They started placing sheets on the windows and doors, Daniel said. 440 00:27:49,280 --> 00:27:53,200 Speaker 1: The correctional office began deploying gas, throwing detainees on the floor, 441 00:27:53,720 --> 00:27:57,359 Speaker 1: taking them in handcuffs too. He assumed solitary confinement, or 442 00:27:57,440 --> 00:28:00,439 Speaker 1: as they called it, the whole all so in this 443 00:28:00,600 --> 00:28:04,600 Speaker 1: article UH, they explained that there is a special unit 444 00:28:04,640 --> 00:28:09,080 Speaker 1: of correctional officers task with suppressing detainee disturbances, akin to 445 00:28:09,119 --> 00:28:12,120 Speaker 1: a swat team. The pepper spraying unit is known as 446 00:28:12,119 --> 00:28:16,000 Speaker 1: the Special Operations Response Team or SORT. The SORT unit, 447 00:28:16,160 --> 00:28:18,879 Speaker 1: which has not previously been reported on, is trained to 448 00:28:18,960 --> 00:28:22,400 Speaker 1: use riot shields, helmets, pepper spray, and pepper ball ammunition. 449 00:28:23,880 --> 00:28:27,520 Speaker 1: The whole article is pretty ghoulish. Apparently, this use of 450 00:28:27,520 --> 00:28:32,520 Speaker 1: force has happened twice against prisoners protesting coronavirus UH, and 451 00:28:32,680 --> 00:28:37,879 Speaker 1: both times correctional officers have gone on and and like 452 00:28:38,040 --> 00:28:42,560 Speaker 1: celebrated their use of force and stuff on social media posts. 453 00:28:42,920 --> 00:28:46,320 Speaker 1: Also from the article, The posts and aggregate gives a 454 00:28:46,320 --> 00:28:49,480 Speaker 1: series of snapshots of the SORT team's actions against the 455 00:28:49,480 --> 00:28:53,480 Speaker 1: protesting detainees. In one social media post, a sort officer 456 00:28:53,560 --> 00:28:56,120 Speaker 1: said he shot all the detainees in sight with pepper 457 00:28:56,120 --> 00:29:00,560 Speaker 1: ball projectiles. It was he said, call of Do Demode, 458 00:29:01,040 --> 00:29:04,120 Speaker 1: referring to a violent first person video game series about 459 00:29:04,160 --> 00:29:10,920 Speaker 1: going to war. Um, it's pretty horrifying, way like one 460 00:29:10,960 --> 00:29:13,360 Speaker 1: of those times in Call of Duty where you fire 461 00:29:13,400 --> 00:29:18,560 Speaker 1: into a crowd of unarmed people with pepper spray paintballs. Yeah. 462 00:29:18,960 --> 00:29:21,600 Speaker 1: And again, so what are the things that they're protesting. 463 00:29:21,640 --> 00:29:25,240 Speaker 1: They seem pretty reasonable to me that conditions prisoners are 464 00:29:25,240 --> 00:29:27,320 Speaker 1: being held in are improved, that they have access to 465 00:29:27,360 --> 00:29:31,240 Speaker 1: medical care. You know, that they're not treating sick patients 466 00:29:31,360 --> 00:29:33,760 Speaker 1: or isolating them in many cases. And I don't mean 467 00:29:34,160 --> 00:29:37,560 Speaker 1: putting them in solitary confinement. I mean removing them from 468 00:29:37,560 --> 00:29:41,200 Speaker 1: a crowded cell block. And as we've alluded to, also 469 00:29:41,440 --> 00:29:45,040 Speaker 1: for the releasing of inmates to reduce the number of 470 00:29:45,040 --> 00:29:50,680 Speaker 1: incarcerated individuals, especially people that do not need to be there, um, 471 00:29:50,720 --> 00:29:52,760 Speaker 1: you know, for a variety of reasons. If we're like 472 00:29:53,120 --> 00:29:56,240 Speaker 1: being realistic, like do they deserve to be given a 473 00:29:56,280 --> 00:30:01,640 Speaker 1: death sentence for their marijuana charges from fifteen years ago? Yeah? 474 00:30:01,720 --> 00:30:07,200 Speaker 1: And that's why I want to that because a number 475 00:30:07,240 --> 00:30:11,000 Speaker 1: of people have had their their lesser sentences become death sentences. 476 00:30:11,040 --> 00:30:14,040 Speaker 1: And I'm about to get to that. In March, William 477 00:30:14,120 --> 00:30:18,640 Speaker 1: Barr actually ordered officials running federal prisons to immediately maximize 478 00:30:18,680 --> 00:30:21,360 Speaker 1: the release of prisoners to home combinement, you know, to 479 00:30:21,360 --> 00:30:25,640 Speaker 1: help prevent the spread, and you know, urged them to 480 00:30:25,680 --> 00:30:29,680 Speaker 1: focus on the most vulnerable people and facilities, uh, such 481 00:30:29,720 --> 00:30:35,040 Speaker 1: as elderly people. UM. And that's the fine, that's that's 482 00:30:35,080 --> 00:30:39,520 Speaker 1: a good move, you know, somewhat surprising from them, but UM, 483 00:30:39,720 --> 00:30:42,200 Speaker 1: kind of it hasn't really moved the needle. I mean, 484 00:30:42,200 --> 00:30:43,880 Speaker 1: you can push back on this, but from what I'm 485 00:30:43,920 --> 00:30:48,160 Speaker 1: looking at, uh, this only applies to about two thousand 486 00:30:48,400 --> 00:30:51,480 Speaker 1: of the hundred and seventy thousand inmates and the federal 487 00:30:51,800 --> 00:30:55,880 Speaker 1: correction system. UM. And the majority of the over two 488 00:30:55,920 --> 00:30:59,920 Speaker 1: million prisoners currently being held in the United States are 489 00:31:00,400 --> 00:31:04,560 Speaker 1: you know, states or or local level. UM. So that 490 00:31:04,680 --> 00:31:07,440 Speaker 1: leaves the decision of what to do with the majority 491 00:31:07,480 --> 00:31:11,000 Speaker 1: of the prisoners at the discretion of local governments and governors, 492 00:31:11,040 --> 00:31:15,400 Speaker 1: which I know you've prepared some stuff on Robert UM. Yeah, 493 00:31:15,560 --> 00:31:17,640 Speaker 1: I mean I wanted to talk in the context of 494 00:31:17,680 --> 00:31:20,960 Speaker 1: people having their their sentences turned into death sentences. I 495 00:31:21,000 --> 00:31:24,120 Speaker 1: wanted to talk about E from Stutson. E from Stutson. 496 00:31:24,400 --> 00:31:28,719 Speaker 1: UM was convicted for selling cocaine. Uh. He served twenty 497 00:31:28,760 --> 00:31:32,440 Speaker 1: seven years in Lompoc Prison in California, and he was 498 00:31:32,520 --> 00:31:36,400 Speaker 1: released on April one. UM. Within hours of getting off 499 00:31:36,400 --> 00:31:38,960 Speaker 1: of his bus in San Bernardino, he was hospitalized for 500 00:31:39,000 --> 00:31:43,080 Speaker 1: COVID nineteen and he was dead five days later. UM. 501 00:31:43,120 --> 00:31:45,560 Speaker 1: And his sister says that, yeah, he told her as 502 00:31:45,600 --> 00:31:47,240 Speaker 1: he was in his last days in prison that he 503 00:31:47,280 --> 00:31:51,240 Speaker 1: started to get sick. Um. He was not released then, Uh, 504 00:31:51,280 --> 00:31:53,640 Speaker 1: even though it would have improved his chances to have 505 00:31:53,680 --> 00:31:57,280 Speaker 1: immediately been released to a hospital. UM. Instead, he spent 506 00:31:57,440 --> 00:31:59,600 Speaker 1: days sick in prison and then was released and died 507 00:31:59,680 --> 00:32:02,520 Speaker 1: to meeting upon coming back out into the world for 508 00:32:02,520 --> 00:32:05,000 Speaker 1: the first time in almost thirty years. UM. And there's 509 00:32:05,000 --> 00:32:09,720 Speaker 1: a number of stories like that. It's just it's horrible. UM. Yeah, yeah, 510 00:32:09,760 --> 00:32:11,160 Speaker 1: And that's I mean, that's a whole other thing. Like 511 00:32:11,240 --> 00:32:14,320 Speaker 1: even in releasing a lot of people, if we're to 512 00:32:14,360 --> 00:32:17,480 Speaker 1: do that, like a lot of them don't have those 513 00:32:17,520 --> 00:32:21,680 Speaker 1: connections in the real world anymore. So what did they 514 00:32:21,760 --> 00:32:24,080 Speaker 1: do and where do they go? I Mean, it's the 515 00:32:24,120 --> 00:32:26,800 Speaker 1: same thing with the story that you talked about earlier 516 00:32:26,920 --> 00:32:31,600 Speaker 1: with the few inmates that have committed crimes, stole some food, 517 00:32:31,960 --> 00:32:35,360 Speaker 1: you know, or got chased by the cops and arrested 518 00:32:35,360 --> 00:32:38,200 Speaker 1: because they didn't have a valid drivers trying to try 519 00:32:38,280 --> 00:32:41,960 Speaker 1: to get somewhere needed food like this. I mean, I'm 520 00:32:42,000 --> 00:32:44,800 Speaker 1: not saying we should be going and stealing food, but 521 00:32:45,320 --> 00:32:49,240 Speaker 1: you can understand it's too late. You've said it, Yes, 522 00:32:49,400 --> 00:32:51,800 Speaker 1: steal food and you know, while you're at it, hit 523 00:32:51,880 --> 00:32:56,080 Speaker 1: some boards with a crowbar while on methamphetamine. YEA, all 524 00:32:56,120 --> 00:32:58,440 Speaker 1: good calls. I wanted to talk about some of the 525 00:32:58,440 --> 00:33:02,080 Speaker 1: governors that we've we've been celebrating recently for their their 526 00:33:02,160 --> 00:33:05,960 Speaker 1: relative competence in the face of the COVID nineteen epidemic. 527 00:33:06,600 --> 00:33:10,320 Speaker 1: Um because like Cuomo is a good example, so he's 528 00:33:10,400 --> 00:33:15,720 Speaker 1: enjoys something popularity right now. The villain from the mask 529 00:33:16,120 --> 00:33:20,400 Speaker 1: Governor Cuomo is he wait what No, but look just 530 00:33:20,480 --> 00:33:25,920 Speaker 1: look up the UM. Okay, that makes sense because he 531 00:33:26,040 --> 00:33:29,000 Speaker 1: is essentially I believe he would fight. I don't know, 532 00:33:29,080 --> 00:33:31,360 Speaker 1: I don't remember. I don't remember anything about the mask 533 00:33:31,520 --> 00:33:33,920 Speaker 1: Cody other than Jim Carey's face is green and he 534 00:33:33,960 --> 00:33:37,520 Speaker 1: has that big that big comedy gun. It's like it's 535 00:33:37,560 --> 00:33:40,800 Speaker 1: like a lot, right, so it's it's smoking And wasn't 536 00:33:40,880 --> 00:33:43,200 Speaker 1: wasn't in the actual comics that it's based on. Wasn't 537 00:33:43,240 --> 00:33:47,400 Speaker 1: he like a horrible rapist murderer? Yeah, it's way worse. Yeah, 538 00:33:47,760 --> 00:33:50,040 Speaker 1: much darker. It's not not great in the movie either, 539 00:33:50,520 --> 00:33:53,800 Speaker 1: like most Jim Carrey movies, I guess of that era 540 00:33:53,840 --> 00:33:57,320 Speaker 1: in retrospect. Yeah, we let him get away with a 541 00:33:57,360 --> 00:34:01,120 Speaker 1: lot in the nineties. Um, but yeah, speaking of getting 542 00:34:01,160 --> 00:34:06,800 Speaker 1: away with a lot, but Andrew Cuomo, like Stanley Yell, 543 00:34:06,880 --> 00:34:09,400 Speaker 1: NAT's he is getting away with a lot. As you 544 00:34:09,480 --> 00:34:12,279 Speaker 1: pointed out, you know, Jim Carrey was able to get 545 00:34:12,320 --> 00:34:14,440 Speaker 1: away with a lot in the nineteen nineties. We all 546 00:34:14,480 --> 00:34:17,640 Speaker 1: as a society decided that he said, somebody stopped me, 547 00:34:17,800 --> 00:34:20,359 Speaker 1: and then we said no, no, no, no, we want 548 00:34:20,400 --> 00:34:23,560 Speaker 1: We're like, no, no, go on please. Yeah. Yeah, and 549 00:34:23,719 --> 00:34:26,400 Speaker 1: his if you rewatch old Jim Carrey movies, with the 550 00:34:26,440 --> 00:34:29,399 Speaker 1: exception of a spin cur At two, Um, they're all 551 00:34:29,440 --> 00:34:33,680 Speaker 1: they're all uh monstrous uh and and and the characters 552 00:34:33,680 --> 00:34:36,680 Speaker 1: that we're supposed to identify with do horrible things. And 553 00:34:36,719 --> 00:34:38,479 Speaker 1: we just let Jim Carrey get away with it because 554 00:34:38,480 --> 00:34:40,439 Speaker 1: he was really good at making that one face and 555 00:34:40,440 --> 00:34:42,960 Speaker 1: and pretending to talk with his butt, and it was 556 00:34:42,960 --> 00:34:45,960 Speaker 1: a simpler time, and we all decided that was okay. 557 00:34:46,120 --> 00:34:50,000 Speaker 1: And in a similar manner, Governor Andrew Cuomo of New 558 00:34:50,080 --> 00:34:53,239 Speaker 1: York City has been allowed to get away with some 559 00:34:53,320 --> 00:34:57,760 Speaker 1: horrific actions because he's doing the gubernatorial equivalent of talking 560 00:34:57,760 --> 00:35:00,440 Speaker 1: with his butt. Um in a funny ha haa movie 561 00:35:00,520 --> 00:35:05,840 Speaker 1: which is I guess talk like an adult. Um. I 562 00:35:05,880 --> 00:35:07,680 Speaker 1: don't know it breaks down here, but you know what 563 00:35:07,800 --> 00:35:11,640 Speaker 1: doesn't break down are the products and services that support 564 00:35:11,719 --> 00:35:15,080 Speaker 1: this podcast. So we're going to talk about cuomsy. But 565 00:35:15,239 --> 00:35:20,719 Speaker 1: first here's ads Ubernatorial, my brother. I've got a joke 566 00:35:21,360 --> 00:35:30,960 Speaker 1: gubernatorial more like goober you know, booger booger. Yeah, these 567 00:35:31,000 --> 00:35:34,160 Speaker 1: are the kind of jokes you don't get with NPR podcasts, 568 00:35:34,680 --> 00:35:48,320 Speaker 1: A bunch of hacks together everything. So we talked earlier 569 00:35:48,360 --> 00:35:53,040 Speaker 1: in the episode about how old people, when released from prison, 570 00:35:53,160 --> 00:35:55,839 Speaker 1: even if they were released from violent crimes, are are 571 00:35:56,040 --> 00:35:59,920 Speaker 1: very unlikely to reoffend for a variety of reasons, including 572 00:36:00,000 --> 00:36:01,319 Speaker 1: and this is like again, it's one of the things 573 00:36:01,320 --> 00:36:02,480 Speaker 1: that it's hard to get a lot of people on 574 00:36:02,520 --> 00:36:04,359 Speaker 1: board with because you hear like someone was jailed because 575 00:36:04,360 --> 00:36:06,919 Speaker 1: they're part of a robbery where someone got murdered, and 576 00:36:07,000 --> 00:36:09,360 Speaker 1: the argument is always like, okay, well that other person, 577 00:36:09,520 --> 00:36:12,120 Speaker 1: you know, never gets a chance for justice. And it's like, yeah, 578 00:36:12,160 --> 00:36:15,440 Speaker 1: you know, that's that's that's fair. It's an injust universe. 579 00:36:15,480 --> 00:36:17,160 Speaker 1: But is it really better to just like lock them 580 00:36:17,239 --> 00:36:20,120 Speaker 1: up for forever, um, even though like we all can 581 00:36:20,120 --> 00:36:22,600 Speaker 1: acknowledge that none of us are the same person we 582 00:36:22,600 --> 00:36:25,240 Speaker 1: were at twenty, and maybe a sixty year old who's 583 00:36:25,239 --> 00:36:27,920 Speaker 1: been in prison for forty years should get a chance 584 00:36:27,960 --> 00:36:30,279 Speaker 1: to be a different person than were at nineteen when 585 00:36:30,320 --> 00:36:33,160 Speaker 1: they were committed armed robbery or whatever. Um, I don't know. 586 00:36:33,320 --> 00:36:35,640 Speaker 1: That's kind of my failing on the matter. But um, 587 00:36:35,680 --> 00:36:39,480 Speaker 1: what a messed up view of the world. Robert, Yeah, 588 00:36:39,800 --> 00:36:42,680 Speaker 1: it was not. It really depends on their race, Robert, 589 00:36:43,000 --> 00:36:49,160 Speaker 1: you know, yeah, no, but it's true. Um, it was 590 00:36:49,239 --> 00:36:52,600 Speaker 1: not the opinion of of Governor Andrew Cuomo in two 591 00:36:52,600 --> 00:36:56,920 Speaker 1: thousand twelve, um that that older people should be released, 592 00:36:56,960 --> 00:37:00,000 Speaker 1: maybe after spending decades in prison, um on good behavior. 593 00:37:00,520 --> 00:37:03,839 Speaker 1: So in two thousand twelve, Valerie Gator was New York 594 00:37:03,840 --> 00:37:07,840 Speaker 1: State's longest serving incarcerated woman. Her crime she committed a 595 00:37:07,840 --> 00:37:10,560 Speaker 1: crime when she was twenty one years old. She participated 596 00:37:10,600 --> 00:37:13,239 Speaker 1: in the deaths of an elderly couple Blues during a 597 00:37:13,320 --> 00:37:16,000 Speaker 1: robbery gone wrong UM, and it was a pretty horrific crime. 598 00:37:16,080 --> 00:37:18,839 Speaker 1: She was also twenty one years old, UM and over 599 00:37:18,920 --> 00:37:23,000 Speaker 1: the next almost forty years in prison, she took significant 600 00:37:23,040 --> 00:37:27,320 Speaker 1: steps to change herself into a better person. She earned 601 00:37:27,400 --> 00:37:30,520 Speaker 1: multiple college degrees, She became a mentor to other prisons. 602 00:37:30,520 --> 00:37:34,279 Speaker 1: She developed programs to assist in the rehabilitation UM and 603 00:37:34,360 --> 00:37:37,400 Speaker 1: her programs have like earned her a number of awards 604 00:37:37,440 --> 00:37:41,759 Speaker 1: from different national organizations UM because they helped reduce recidivism 605 00:37:41,800 --> 00:37:45,640 Speaker 1: and help other prisoners to get out and rebuild their lives. UM. 606 00:37:45,680 --> 00:37:50,279 Speaker 1: In short, how dare she you would consider her the 607 00:37:50,360 --> 00:37:53,280 Speaker 1: model of what we would hope for in our prison system. 608 00:37:53,400 --> 00:37:55,520 Speaker 1: You would hope that like this would be the goal, right, 609 00:37:55,600 --> 00:37:58,040 Speaker 1: that somebody who committed a horrible crime when they were 610 00:37:58,160 --> 00:38:00,960 Speaker 1: very young, over the course of thirty nine years in prison, 611 00:38:01,320 --> 00:38:04,200 Speaker 1: UH could change into a multiple degree holder who develops 612 00:38:04,239 --> 00:38:08,120 Speaker 1: programs that help hundreds of other people escape their youthful 613 00:38:08,160 --> 00:38:13,879 Speaker 1: horrors and live lives. Also, to just to interject, we've 614 00:38:14,000 --> 00:38:16,759 Speaker 1: used the word recidivism a couple of times. And just 615 00:38:16,800 --> 00:38:19,680 Speaker 1: in case you don't know, that is the tendency of 616 00:38:19,719 --> 00:38:26,480 Speaker 1: a criminal incarcerated person to reoffend. So she applied for 617 00:38:26,520 --> 00:38:29,480 Speaker 1: clemency in two thousand twelve, um and had a number 618 00:38:29,480 --> 00:38:31,640 Speaker 1: of times because she was an old person and didn't 619 00:38:31,640 --> 00:38:33,799 Speaker 1: want to die in prison. Um in because a hell 620 00:38:33,840 --> 00:38:35,760 Speaker 1: of a lot of people thought that she deserved another 621 00:38:35,840 --> 00:38:39,040 Speaker 1: chance after spending decades proving that she deserved another chance, 622 00:38:39,480 --> 00:38:44,360 Speaker 1: and Andrew Cuomo personally denied her clemency application. Um. Yeah. 623 00:38:44,400 --> 00:38:48,080 Speaker 1: In two thousand nineteen, the New York State legislator legislature 624 00:38:48,160 --> 00:38:51,480 Speaker 1: considered an elder parole measure UH state Bill to one 625 00:38:51,600 --> 00:38:54,520 Speaker 1: four four. This would have allowed incarcerated older people to 626 00:38:54,560 --> 00:38:57,080 Speaker 1: appear before a parole board for a chance at release 627 00:38:57,200 --> 00:39:00,680 Speaker 1: at age fifty five after serving fifty or more years 628 00:39:00,719 --> 00:39:04,359 Speaker 1: in prison. And this was also this was voted down 629 00:39:04,520 --> 00:39:10,759 Speaker 1: by the state legislature. So yeah, Miss Gator died September three, 630 00:39:10,840 --> 00:39:14,560 Speaker 1: two nineteen, So before COVID nineteen hit, she died uh 631 00:39:14,600 --> 00:39:17,400 Speaker 1: in a New York State prison. Um, having never tasted 632 00:39:17,480 --> 00:39:22,759 Speaker 1: free air again. So that's yeah, that's a bummer. Um. 633 00:39:22,840 --> 00:39:26,759 Speaker 1: It's also worth noting that while Cuomo did order the 634 00:39:26,760 --> 00:39:29,719 Speaker 1: release of people who were held up on parole violations, 635 00:39:29,760 --> 00:39:33,160 Speaker 1: and has released a number of of older non violent offenders. UM. 636 00:39:33,160 --> 00:39:35,799 Speaker 1: He's repeatedly insisted that people who are incarcerated on some 637 00:39:35,840 --> 00:39:38,880 Speaker 1: sort of violent crime uh not be released, regardless of 638 00:39:38,920 --> 00:39:42,920 Speaker 1: their age. UM. And he also insisted that state correction 639 00:39:43,000 --> 00:39:46,759 Speaker 1: officers not be allowed to wear masks until April six. 640 00:39:47,280 --> 00:39:50,080 Speaker 1: That was when the state of New York finally allowed 641 00:39:50,080 --> 00:39:53,400 Speaker 1: corrections officers to wear masks on the job, which probably 642 00:39:53,440 --> 00:39:55,920 Speaker 1: contributed to the fact that a number of correction officers 643 00:39:55,920 --> 00:39:58,879 Speaker 1: have died in the state of New York. UM so 644 00:39:59,080 --> 00:40:03,799 Speaker 1: blame the sasoning behind that. I I really don't. It's 645 00:40:03,920 --> 00:40:07,920 Speaker 1: very dumb. Um yeah, Like if not like that is 646 00:40:08,120 --> 00:40:10,560 Speaker 1: like it's baffling to me that that would even be 647 00:40:10,640 --> 00:40:14,480 Speaker 1: like yeah. So basically, before April two, there was a 648 00:40:14,600 --> 00:40:18,799 Speaker 1: directive from the Department of Corrections and Community Supervision that 649 00:40:18,800 --> 00:40:23,000 Speaker 1: prohibited employees from wearing masks quote unless medically necessary for 650 00:40:23,040 --> 00:40:26,000 Speaker 1: the job and the area they work in and for 651 00:40:26,120 --> 00:40:32,799 Speaker 1: whatever Yeah, for whatever reason, that didn't apply in a pandemic. Um. Basically, 652 00:40:32,840 --> 00:40:34,680 Speaker 1: there was a lot of quibbling going on about whether 653 00:40:34,760 --> 00:40:36,880 Speaker 1: or not every individual needed to wear a mask for 654 00:40:36,920 --> 00:40:40,600 Speaker 1: their specific point in the job, and like rather than 655 00:40:40,640 --> 00:40:43,880 Speaker 1: just being sane about it and being like, okay, well 656 00:40:43,960 --> 00:40:47,680 Speaker 1: you know, uh, maybe when there's a pandemic, everyone needs 657 00:40:47,680 --> 00:40:50,359 Speaker 1: to wear a mask all the time. And and they 658 00:40:50,480 --> 00:40:53,200 Speaker 1: they quibbled about like who needed to and then fifty 659 00:40:53,600 --> 00:40:59,960 Speaker 1: officer and sergeants got COVID nineteen. Yeah, it's a bummer. 660 00:41:01,320 --> 00:41:04,399 Speaker 1: It is dumb. It just seems like a bureaucratic rule 661 00:41:04,440 --> 00:41:06,880 Speaker 1: that was in place and then get released, like April 662 00:41:06,920 --> 00:41:09,600 Speaker 1: two is real late for that to that to be 663 00:41:09,680 --> 00:41:12,400 Speaker 1: dealt with a lot of guards and a lot of 664 00:41:12,400 --> 00:41:15,399 Speaker 1: prisoners and we'll never know how many prisoners got sick 665 00:41:15,440 --> 00:41:20,279 Speaker 1: as a result of this, um they don't even know. 666 00:41:21,040 --> 00:41:23,520 Speaker 1: So yeah, and it just it's part of this thing 667 00:41:23,600 --> 00:41:26,000 Speaker 1: like Cuomo has. There's other criticisms that have nothing to 668 00:41:26,000 --> 00:41:28,320 Speaker 1: do with the prison system to make about Cuomo's response 669 00:41:28,400 --> 00:41:32,120 Speaker 1: to COVID nineteen. But it is like really frustrating to 670 00:41:32,160 --> 00:41:35,000 Speaker 1: me that he's getting pointed out as like, you know, 671 00:41:35,040 --> 00:41:38,319 Speaker 1: taking this logical and fact and medicine based approach to 672 00:41:38,680 --> 00:41:43,680 Speaker 1: the virus. And that's true in some places, but it's 673 00:41:43,680 --> 00:41:47,400 Speaker 1: certainly not true of how prisons were handled were treated 674 00:41:47,440 --> 00:41:49,759 Speaker 1: in New York. Of how in New York prisoners and 675 00:41:49,840 --> 00:41:54,680 Speaker 1: guards um they were essentially like allowed to like it 676 00:41:54,719 --> 00:41:58,400 Speaker 1: was allowed to spread almost unchecked. The general public in 677 00:41:58,440 --> 00:42:00,520 Speaker 1: New York State received four time is the number of 678 00:42:00,520 --> 00:42:03,640 Speaker 1: tests per capita compared to inmates in prisons, even though, again, 679 00:42:03,640 --> 00:42:06,920 Speaker 1: as we've discussed inmates as individual people, because of the 680 00:42:07,000 --> 00:42:10,200 Speaker 1: higher rate of illness among them, UM are more likely 681 00:42:10,200 --> 00:42:12,560 Speaker 1: to be vulnerable to the coronavirus and because of just 682 00:42:12,640 --> 00:42:14,759 Speaker 1: the way prisons work, it's more likely to spread their 683 00:42:15,040 --> 00:42:18,080 Speaker 1: one fourth the number of testing per capita um, which 684 00:42:18,120 --> 00:42:20,280 Speaker 1: is a very direct way of saying that Andrew Cuomo 685 00:42:20,360 --> 00:42:23,879 Speaker 1: thinks that incarcerated people are less people and thus less 686 00:42:23,960 --> 00:42:26,920 Speaker 1: worthy of having resources spent on them and less worthy 687 00:42:26,960 --> 00:42:30,240 Speaker 1: of their lives being protected than people who are not incarcerated, 688 00:42:30,560 --> 00:42:35,880 Speaker 1: which unfortunately a lot of Americans agree with. And there's 689 00:42:35,920 --> 00:42:39,480 Speaker 1: this nasty thing related to the American puritanical streak um, 690 00:42:39,520 --> 00:42:41,800 Speaker 1: which is a big thing in this country, which that 691 00:42:41,920 --> 00:42:46,880 Speaker 1: whereas this like this like revulsion Americans have at the 692 00:42:46,920 --> 00:42:50,840 Speaker 1: idea that a prisoner that we are more revolted by 693 00:42:50,880 --> 00:42:53,600 Speaker 1: the idea that a couple of guilty people might go 694 00:42:53,760 --> 00:42:56,399 Speaker 1: free than the idea of a lot of of of 695 00:42:56,400 --> 00:43:00,560 Speaker 1: basically decent people not continue to be punished. One of 696 00:43:00,600 --> 00:43:02,759 Speaker 1: the things that I think best illustrates the toxicity of 697 00:43:02,800 --> 00:43:06,560 Speaker 1: this kind of like this cruelty streak towards prisoners in 698 00:43:06,640 --> 00:43:09,680 Speaker 1: American culture is the case of Willie Horton. So Willie 699 00:43:09,680 --> 00:43:11,800 Speaker 1: Horton is a convicted and he's still alive today, is 700 00:43:11,800 --> 00:43:14,400 Speaker 1: a convicted American felon who was serving a life sentence 701 00:43:14,520 --> 00:43:17,560 Speaker 1: for murder, a murder he committed in nineteen seventy four. 702 00:43:17,640 --> 00:43:21,080 Speaker 1: He was furloughed under a program that the state of 703 00:43:21,120 --> 00:43:24,680 Speaker 1: Massachusetts stated which allowed like prisoners to be essentially let 704 00:43:24,680 --> 00:43:28,200 Speaker 1: out on the weekends if they met certain conditions, and 705 00:43:28,440 --> 00:43:31,080 Speaker 1: he was furloughed in nineteen eighty six. Uh In in in 706 00:43:31,239 --> 00:43:35,200 Speaker 1: nineteen eighties seven, he twice raped a woman after pistol whipping, knifing, binding, 707 00:43:35,280 --> 00:43:38,680 Speaker 1: and gagging her fiance. It was a horrific crime, and 708 00:43:38,719 --> 00:43:42,359 Speaker 1: it was used by the Bush campaign in nineteen eighty 709 00:43:42,440 --> 00:43:44,560 Speaker 1: eight to run against Michael Ducacus, who had been the 710 00:43:44,600 --> 00:43:47,960 Speaker 1: governor of Massachusetts when this program was instituted, and they 711 00:43:48,000 --> 00:43:51,240 Speaker 1: made a big deal about the weekend passes that prisoners 712 00:43:51,239 --> 00:43:54,640 Speaker 1: were being allowed, and the idea was that, see, these 713 00:43:54,680 --> 00:43:56,920 Speaker 1: Democrats tried to take it easy on a prisoner, and 714 00:43:56,960 --> 00:43:59,880 Speaker 1: this woman got raped, and like, that's means that we 715 00:44:00,040 --> 00:44:03,440 Speaker 1: should never we should like it's always a bad idea 716 00:44:03,480 --> 00:44:06,160 Speaker 1: to even consider easing up on any of these people 717 00:44:06,200 --> 00:44:08,959 Speaker 1: and trying to rehabilitate them. And this is behind white 718 00:44:08,960 --> 00:44:12,040 Speaker 1: people like Cuomo and people like Governor Insley of Washington 719 00:44:12,080 --> 00:44:14,680 Speaker 1: why they have all made like such a point of saying, 720 00:44:15,040 --> 00:44:16,560 Speaker 1: no one who is in for any kind of a 721 00:44:16,600 --> 00:44:19,560 Speaker 1: violent offense is going to be considered for release. UM. 722 00:44:19,680 --> 00:44:22,040 Speaker 1: And it's because of the Willie Horton effect. It's because 723 00:44:22,040 --> 00:44:24,360 Speaker 1: that this is like widely considered to be one of 724 00:44:24,360 --> 00:44:26,040 Speaker 1: the things of not the major thing that cost to 725 00:44:26,120 --> 00:44:28,440 Speaker 1: Caucus the eighty at election UM. And one of the 726 00:44:28,440 --> 00:44:31,560 Speaker 1: most infuriating things about the Willy Horton effect is that 727 00:44:31,840 --> 00:44:37,440 Speaker 1: the Massachusetts furlough program existed to help reduce recidivism, and 728 00:44:37,480 --> 00:44:41,120 Speaker 1: by some accounts it had a success rate. UM. This 729 00:44:41,239 --> 00:44:45,560 Speaker 1: was an extremely successful program when it came towards actually 730 00:44:45,920 --> 00:44:51,960 Speaker 1: UM helping to reintegrate prisoners into society UM and allow 731 00:44:52,040 --> 00:44:55,480 Speaker 1: them to rebuild their lives and and exist in the future. 732 00:44:55,520 --> 00:44:57,640 Speaker 1: As a person who does not hurt people. It was 733 00:44:57,680 --> 00:45:03,960 Speaker 1: extremely successful. The program was straighting that one the one 734 00:45:04,000 --> 00:45:09,360 Speaker 1: example of it going south is the only thing that 735 00:45:09,400 --> 00:45:13,160 Speaker 1: people focus on instead of the positive impact. Yeah, and 736 00:45:13,160 --> 00:45:14,920 Speaker 1: it's the same thing you see with that rants guy 737 00:45:14,960 --> 00:45:18,000 Speaker 1: I posted earlier, I talked about earlier, where like, um, 738 00:45:18,040 --> 00:45:20,640 Speaker 1: you know, you have this program to release people to 739 00:45:20,719 --> 00:45:23,080 Speaker 1: try and stop them. Are people dying from COVID nineteen 740 00:45:23,520 --> 00:45:26,480 Speaker 1: and immediately right wing commentators are looking for every example 741 00:45:26,520 --> 00:45:28,040 Speaker 1: of a crime committed by one of them. And so 742 00:45:28,080 --> 00:45:30,000 Speaker 1: you've got, you know, a thousand people at least, and 743 00:45:30,040 --> 00:45:33,080 Speaker 1: three of them committed minor fucking crimes. And we're gonna 744 00:45:33,080 --> 00:45:36,080 Speaker 1: we're gonna hammer this home. And these liberal governors, because 745 00:45:36,400 --> 00:45:38,920 Speaker 1: most of them are pretty fundamentally cowards, are going to 746 00:45:39,800 --> 00:45:41,560 Speaker 1: they respond to that. None of them want to get 747 00:45:41,600 --> 00:45:43,880 Speaker 1: Willie Horton's absolutely, it's just I mean the same thing 748 00:45:43,920 --> 00:45:47,800 Speaker 1: we see we saw for the past few years with dreamers. Yeah, 749 00:45:47,840 --> 00:45:49,839 Speaker 1: and like it's the way, just the way they talk 750 00:45:49,920 --> 00:45:54,319 Speaker 1: like okay, well here's one and they're bad. Therefore, it's 751 00:45:54,360 --> 00:45:56,880 Speaker 1: why the president got away even though like people got pissed. 752 00:45:57,120 --> 00:45:58,880 Speaker 1: That's why he gets away with talking about like the 753 00:45:58,920 --> 00:46:01,520 Speaker 1: animals and stuff like that. Yeah, and it's I mean, 754 00:46:01,560 --> 00:46:03,160 Speaker 1: to be honest, it's the same thing you see with 755 00:46:03,200 --> 00:46:07,600 Speaker 1: like Syrian refugees and in particularly Germany, where like it's 756 00:46:07,600 --> 00:46:10,320 Speaker 1: a big thing on their right to point out like, look, 757 00:46:10,400 --> 00:46:13,239 Speaker 1: you know, this guy was a refugee, he committed a rape. 758 00:46:13,280 --> 00:46:15,000 Speaker 1: This guy was a refugee and he committed rape. And 759 00:46:15,040 --> 00:46:17,960 Speaker 1: it's like, yeah, they let a million people into the country. 760 00:46:18,280 --> 00:46:21,560 Speaker 1: Some of them are going to be rapists. Yes, when 761 00:46:21,560 --> 00:46:25,480 Speaker 1: you when you take when you take a million, yeah, 762 00:46:25,560 --> 00:46:29,479 Speaker 1: some of them will be rapists, Like especially if it's Hollywood. Uh. 763 00:46:29,520 --> 00:46:34,560 Speaker 1: And that doesn't mean that everyone else should be. Yeah, 764 00:46:34,640 --> 00:46:38,680 Speaker 1: it's it's it's frustrating, but it's also incredibly easy too, 765 00:46:38,680 --> 00:46:40,799 Speaker 1: because you can't argue against it, right, Like if you're 766 00:46:40,880 --> 00:46:43,240 Speaker 1: arguing in favor of prison furloughs and the other person 767 00:46:43,320 --> 00:46:45,080 Speaker 1: just has to bring up the case of one furloughed 768 00:46:45,120 --> 00:46:49,680 Speaker 1: prisoner who committed a rape, um, you you can't. There's 769 00:46:49,719 --> 00:46:52,400 Speaker 1: no argument against that. I mean, there is a logical argument, 770 00:46:52,400 --> 00:46:54,240 Speaker 1: which is that, Okay, but what about all these thousands 771 00:46:54,280 --> 00:46:56,279 Speaker 1: of people who are now living lives and contributing to 772 00:46:56,320 --> 00:46:58,400 Speaker 1: society and who are back with their family members and 773 00:46:58,440 --> 00:47:02,560 Speaker 1: like what about like like they matter too, but they 774 00:47:03,520 --> 00:47:06,560 Speaker 1: it's not something you can actually win in a rhetorical sense. 775 00:47:06,920 --> 00:47:09,560 Speaker 1: And the biggest bummer about this is that from a 776 00:47:09,600 --> 00:47:12,880 Speaker 1: perspective of actually winning re election and from a perspective 777 00:47:12,920 --> 00:47:16,799 Speaker 1: of actually like maintaining and holding their political power, I 778 00:47:16,840 --> 00:47:20,160 Speaker 1: suspect all of these governors are making the right decision, um, 779 00:47:20,280 --> 00:47:22,480 Speaker 1: which I think is the morally wrong decision, but I 780 00:47:22,560 --> 00:47:26,760 Speaker 1: think it will work. Yeah, because Americans fucking hate incarcerated people. 781 00:47:27,080 --> 00:47:30,160 Speaker 1: They really do. Yeah. Yeah. For for hating and crustrated 782 00:47:30,160 --> 00:47:34,040 Speaker 1: people so much, we sure do make a lot of them. Yeah. 783 00:47:34,160 --> 00:47:37,840 Speaker 1: It's all part of a much bigger conversation about prisons 784 00:47:37,880 --> 00:47:42,640 Speaker 1: in general, which I think we should do at some point. Um. 785 00:47:42,680 --> 00:47:46,000 Speaker 1: You know, I'm very interested in the prison abolition movement 786 00:47:46,320 --> 00:47:50,959 Speaker 1: versus prison reform, you know, because it's hard to say 787 00:47:51,080 --> 00:47:56,880 Speaker 1: abolish prison when there's you know, so many people that 788 00:47:56,960 --> 00:48:00,640 Speaker 1: are there are a lot of violent offenders or people 789 00:48:00,680 --> 00:48:04,960 Speaker 1: that the general population would not be quick to saying yes, 790 00:48:05,080 --> 00:48:10,040 Speaker 1: let's let them free. It's complicated. But prison in general, Oh, 791 00:48:10,080 --> 00:48:12,040 Speaker 1: if there's just so many there's so many issues that 792 00:48:12,080 --> 00:48:14,600 Speaker 1: I have, and when people do go out how they're 793 00:48:14,600 --> 00:48:17,040 Speaker 1: not get out there not set up for success, they're 794 00:48:17,040 --> 00:48:22,120 Speaker 1: not set up to be reintegrated. We've just got it 795 00:48:22,520 --> 00:48:26,600 Speaker 1: such a gnarled view of freedom and humanity. And like, yeah, 796 00:48:27,160 --> 00:48:30,719 Speaker 1: I'll share another personal story. My my loved one that 797 00:48:31,239 --> 00:48:34,719 Speaker 1: was in San Quentin while they were there, you know, 798 00:48:35,200 --> 00:48:39,720 Speaker 1: drug charges and everything. Was was started on antidepressants and 799 00:48:40,280 --> 00:48:45,000 Speaker 1: when he was released, they refused to give him his 800 00:48:45,040 --> 00:48:51,800 Speaker 1: anti represence or even a prescription, and he was released 801 00:48:52,280 --> 00:48:58,799 Speaker 1: without health insurance, without anything. Uh. And you know with 802 00:48:58,920 --> 00:49:02,800 Speaker 1: drug situations, like a lot of that has to do 803 00:49:03,480 --> 00:49:08,080 Speaker 1: with depression and mental illness. And of course it didn't 804 00:49:08,120 --> 00:49:12,440 Speaker 1: take long for him to be back in jail and 805 00:49:12,440 --> 00:49:14,880 Speaker 1: there was no support system. We fought to try to 806 00:49:14,920 --> 00:49:17,279 Speaker 1: get him his medications and then we couldn't get it. 807 00:49:18,000 --> 00:49:21,080 Speaker 1: And one of the reasons why, because you're one of 808 00:49:21,080 --> 00:49:23,520 Speaker 1: the point you're making that's really good, Katie, is that 809 00:49:25,520 --> 00:49:28,879 Speaker 1: when these people get out, they don't get out. They're 810 00:49:28,920 --> 00:49:31,680 Speaker 1: not released with the things they need to take care 811 00:49:31,760 --> 00:49:34,239 Speaker 1: of themselves or with an ability to take care of themselves, 812 00:49:34,280 --> 00:49:37,040 Speaker 1: and that that increases recidivism. Like that guy who's winds 813 00:49:37,120 --> 00:49:40,520 Speaker 1: up shoplifting from a Fred Meyer um, because he just 814 00:49:40,520 --> 00:49:43,120 Speaker 1: got out of jail during a pandemic and he can't 815 00:49:43,160 --> 00:49:46,920 Speaker 1: get a job and he needs food. Um. And then 816 00:49:46,960 --> 00:49:49,080 Speaker 1: he becomes fuel for the right wing gristmill and it's 817 00:49:49,080 --> 00:49:51,440 Speaker 1: the same. Like. Part of the reason the furlough program 818 00:49:51,480 --> 00:49:54,080 Speaker 1: was so successful is that by letting these people out 819 00:49:54,120 --> 00:49:56,640 Speaker 1: on the weekends, they were able to maintain relationships with 820 00:49:56,680 --> 00:50:00,440 Speaker 1: family and friends. And one of the number one factors 821 00:50:00,440 --> 00:50:04,239 Speaker 1: that determines whether or not a criminal will after being 822 00:50:04,280 --> 00:50:08,280 Speaker 1: released from from prison, will commit more crimes is whether 823 00:50:08,400 --> 00:50:13,319 Speaker 1: or not they have a support network. Um. It's it's 824 00:50:13,360 --> 00:50:20,920 Speaker 1: also be released into the same community that you, uh, 825 00:50:21,040 --> 00:50:24,160 Speaker 1: that are that you were in prior to being incarcerated. 826 00:50:24,480 --> 00:50:28,360 Speaker 1: So if you are a drug addict and you're released 827 00:50:28,400 --> 00:50:30,520 Speaker 1: into the same environment that you were before and you 828 00:50:30,560 --> 00:50:34,279 Speaker 1: don't have that support system, uh, what support system do 829 00:50:34,280 --> 00:50:36,239 Speaker 1: you have? You have the people that you knew, and 830 00:50:36,280 --> 00:50:39,799 Speaker 1: it's a real easy path back. But yes, having that 831 00:50:40,000 --> 00:50:44,040 Speaker 1: furlough program, I imagine yet you can strengthen bonds, reconnect 832 00:50:44,080 --> 00:50:47,080 Speaker 1: with with family members. You can also start to test 833 00:50:47,120 --> 00:50:52,399 Speaker 1: the waters of being back in public uh and and 834 00:50:52,480 --> 00:50:56,120 Speaker 1: figuring out what your boundaries are or how it feels 835 00:50:56,160 --> 00:50:57,399 Speaker 1: to be out there. Do you know what I mean. 836 00:50:57,880 --> 00:51:02,839 Speaker 1: It's it's a gradual reintroduction. Yeah, it's jarring to it's 837 00:51:02,840 --> 00:51:10,000 Speaker 1: a different world. And yeah, on theme with our title 838 00:51:10,040 --> 00:51:16,000 Speaker 1: of the show and itself, we are ending this episode 839 00:51:16,040 --> 00:51:19,960 Speaker 1: on a collective side. No, actually we're not. I have 840 00:51:20,000 --> 00:51:25,280 Speaker 1: something to say. As Cody mentioned earlier in the episode, 841 00:51:25,320 --> 00:51:28,080 Speaker 1: later this week, we will be releasing an interview we 842 00:51:28,120 --> 00:51:33,440 Speaker 1: did with some organizers in Michigan who have been fighting 843 00:51:33,719 --> 00:51:37,799 Speaker 1: this issue. Yeah. The group is no Detention Centers in Michigan. UM. 844 00:51:37,840 --> 00:51:42,120 Speaker 1: And they're specifically protesting against the opening of a private 845 00:51:42,120 --> 00:51:45,160 Speaker 1: for profit or of the Sorry, they're organizing against a 846 00:51:45,239 --> 00:51:49,160 Speaker 1: recently opened private for profit immigration prison in Baldwin, Michigan, 847 00:51:49,480 --> 00:51:53,520 Speaker 1: owned and operated by the GEO Group. Um, the Geo Group. 848 00:51:53,600 --> 00:51:55,960 Speaker 1: So yeah, they're they're and these are these are immigrant 849 00:51:55,960 --> 00:51:59,600 Speaker 1: detention centers for like, for non US citizens who have 850 00:51:59,640 --> 00:52:03,680 Speaker 1: committed crimes. Um. And they're they're, as you can imagine, 851 00:52:03,680 --> 00:52:07,319 Speaker 1: pretty brutal places. Um. Yeah, absolutely them later this week, 852 00:52:07,719 --> 00:52:10,680 Speaker 1: and and they've been experiencing you know, we we all 853 00:52:10,719 --> 00:52:13,719 Speaker 1: heard those stories. I think maybe maybe not. Who can 854 00:52:13,880 --> 00:52:16,920 Speaker 1: assume what people have seen in all of this chaos? Uh, 855 00:52:16,960 --> 00:52:20,799 Speaker 1: you know, a lot of people in ice detention facilities 856 00:52:20,840 --> 00:52:25,160 Speaker 1: have been uprooted and sent across this country to other facilities, 857 00:52:25,200 --> 00:52:27,279 Speaker 1: and and there's a lot of stuff happening there. But 858 00:52:27,400 --> 00:52:31,640 Speaker 1: I say this to also mentioned that one the point 859 00:52:31,640 --> 00:52:33,600 Speaker 1: that they made and I'd like to make now is 860 00:52:33,640 --> 00:52:39,360 Speaker 1: that you can find local groups that are organizing, uh 861 00:52:39,360 --> 00:52:43,080 Speaker 1: to to fight this. And I encourage you to do that, 862 00:52:43,160 --> 00:52:46,480 Speaker 1: to look up the prisons near you, in your your 863 00:52:46,640 --> 00:52:50,399 Speaker 1: county and and see what efforts are being done, because 864 00:52:50,440 --> 00:52:52,520 Speaker 1: that would be a good way to channel your frustration 865 00:52:52,600 --> 00:53:00,600 Speaker 1: right now. Positive note achieved spectacular. Guys can and check 866 00:53:00,640 --> 00:53:04,440 Speaker 1: us out online at Worst Year Pod, on Twitter and 867 00:53:04,640 --> 00:53:07,759 Speaker 1: on Instagram, and you could follow us all as well. 868 00:53:07,920 --> 00:53:10,920 Speaker 1: I'm sure you have those handles. Google our names and 869 00:53:11,360 --> 00:53:13,960 Speaker 1: the word Twitter, you'll find us. And I guess that 870 00:53:14,000 --> 00:53:16,920 Speaker 1: does it for us. Today. We're gonna go have better Mondays, 871 00:53:16,960 --> 00:53:20,160 Speaker 1: I think, and I hope you guys do as well. 872 00:53:20,160 --> 00:53:25,560 Speaker 1: Except it will probably be Wednesday. Have a better Wednesday, 873 00:53:26,160 --> 00:53:33,680 Speaker 1: have a good whatever day, everything everything, so it's not again. 874 00:53:38,680 --> 00:53:40,920 Speaker 1: Worst Year Ever is a production of I Heart Radio. 875 00:53:41,200 --> 00:53:43,400 Speaker 1: For more podcasts from my heart Radio, visit the i 876 00:53:43,520 --> 00:53:46,480 Speaker 1: heart Radio app, Apple Podcasts or wherever you listen to 877 00:53:46,520 --> 00:53:47,360 Speaker 1: your favorite shows,