1 00:00:00,240 --> 00:00:04,800 Speaker 1: So, Matt, I think I mentioned a while back. I 2 00:00:04,960 --> 00:00:08,000 Speaker 1: barely got out of Chile right when the lockdown for 3 00:00:08,080 --> 00:00:12,039 Speaker 1: coronavirus began. It was very fortunate to get out, very 4 00:00:12,039 --> 00:00:15,400 Speaker 1: fortunate to go and return safely in the first place. 5 00:00:15,640 --> 00:00:18,680 Speaker 1: But one thing I noticed is that Chile, like many 6 00:00:18,720 --> 00:00:23,640 Speaker 1: places in South America, has militarized its police force. M 7 00:00:24,440 --> 00:00:28,560 Speaker 1: that sounds familiar. Yeah, it's definitely something that has been 8 00:00:28,560 --> 00:00:31,840 Speaker 1: happening in the United States for quite a while, and 9 00:00:32,120 --> 00:00:35,840 Speaker 1: for the past few years here we've been discussing as 10 00:00:35,840 --> 00:00:39,080 Speaker 1: a nation, what the heck do police departments really do 11 00:00:39,720 --> 00:00:44,319 Speaker 1: you know, for communities in which they operate and back 12 00:00:45,280 --> 00:00:49,519 Speaker 1: we asked that question and we made this episode. I'm 13 00:00:49,560 --> 00:00:53,760 Speaker 1: interested to know how you, you know, see this conversation 14 00:00:53,920 --> 00:00:57,680 Speaker 1: changing since we recorded this episode, So please listen to 15 00:00:57,720 --> 00:01:01,840 Speaker 1: it and give us your thoughts. From UFOs two, Ghosts 16 00:01:01,840 --> 00:01:05,440 Speaker 1: and Government cover ups. History is riddled with unexplained events. 17 00:01:05,920 --> 00:01:08,520 Speaker 1: You can turn back now or learn the stuff they 18 00:01:08,560 --> 00:01:16,840 Speaker 1: don't want you to now. Greetings, Welcome back to the show. 19 00:01:16,920 --> 00:01:19,679 Speaker 1: My name is Matt and I'm Ben. We're here with 20 00:01:19,800 --> 00:01:25,440 Speaker 1: our super producer Noel Sirens on Brown, which means that 21 00:01:25,520 --> 00:01:29,560 Speaker 1: this is stuff they don't want you to know. Oh good, okay, 22 00:01:29,680 --> 00:01:32,360 Speaker 1: yes we're in the right place, and hopefully so are you, 23 00:01:32,680 --> 00:01:38,559 Speaker 1: ladies and gentlemen. Uh Matt put story. When I was younger, 24 00:01:38,720 --> 00:01:40,880 Speaker 1: when you were younger, I guess we're all younger if 25 00:01:40,880 --> 00:01:44,120 Speaker 1: we're talking about the past. There was a show on 26 00:01:44,240 --> 00:01:47,560 Speaker 1: television which I think might still be on called Cops 27 00:01:48,200 --> 00:01:52,760 Speaker 1: yess reloaded now I believe, maybe not. I know I've 28 00:01:52,760 --> 00:01:56,520 Speaker 1: seen that somewhere on the TV. Guy And as a kid, 29 00:01:56,560 --> 00:02:02,800 Speaker 1: I had this superstition at if ever I sang the 30 00:02:02,800 --> 00:02:06,800 Speaker 1: theme song out loud, something bad would happen, like you 31 00:02:06,800 --> 00:02:11,520 Speaker 1: would summon police or criminals. I'm not too clear on it. Again, 32 00:02:11,560 --> 00:02:14,880 Speaker 1: I was a kid, just something bad, and it's something 33 00:02:14,919 --> 00:02:17,840 Speaker 1: that I've stuck with today. Now. I'm not bothered, of course, 34 00:02:17,880 --> 00:02:20,000 Speaker 1: if anybody else is singing around me or if I 35 00:02:20,080 --> 00:02:25,360 Speaker 1: hear it. But as as ridiculous as I know that 36 00:02:25,560 --> 00:02:28,680 Speaker 1: is intellectually, there's still just a little part of me 37 00:02:29,160 --> 00:02:35,160 Speaker 1: that hesitates, because I, like most people in the United States, 38 00:02:35,560 --> 00:02:41,120 Speaker 1: want absolutely no problem with police officers. Absolutely. I have 39 00:02:41,160 --> 00:02:44,640 Speaker 1: a quick story. Yeah, So the house that I lived 40 00:02:44,680 --> 00:02:47,639 Speaker 1: next to, I take my dogs out in the backyard. 41 00:02:47,720 --> 00:02:49,960 Speaker 1: We have a little fenced in area, and I noticed 42 00:02:50,000 --> 00:02:54,040 Speaker 1: that my house just next to mine, the back door 43 00:02:54,240 --> 00:02:56,600 Speaker 1: to the basement was wide open and the lights were on. 44 00:02:56,720 --> 00:03:00,520 Speaker 1: This is around eleven o'clock at night when I noticed this, 45 00:03:01,080 --> 00:03:03,640 Speaker 1: and I didn't think too much of it, you know, 46 00:03:03,720 --> 00:03:05,920 Speaker 1: maybe they're airing out the basement, maybe so much, just 47 00:03:05,960 --> 00:03:09,200 Speaker 1: working and so anyway, I just went back inside. Well, 48 00:03:10,120 --> 00:03:12,720 Speaker 1: for the next three nights, I noticed that it was 49 00:03:12,760 --> 00:03:14,800 Speaker 1: in the exact same state when I would take my 50 00:03:14,880 --> 00:03:17,560 Speaker 1: dogs out, and I started getting a little worried. You know, 51 00:03:17,600 --> 00:03:20,720 Speaker 1: what if somebody in the house, you know, fell or 52 00:03:20,760 --> 00:03:23,440 Speaker 1: something and got hurt while I'm cleaning, you know. So 53 00:03:23,639 --> 00:03:27,120 Speaker 1: I ended up calling the police department, and I it 54 00:03:27,200 --> 00:03:31,480 Speaker 1: was the first time I've actually called the police department. Um, 55 00:03:31,480 --> 00:03:33,080 Speaker 1: because I was a little nervous. I don't know if 56 00:03:33,120 --> 00:03:34,600 Speaker 1: you would have been nervous, but I didn't want to 57 00:03:34,639 --> 00:03:36,920 Speaker 1: just walk into my neighbor's home to check and see 58 00:03:36,920 --> 00:03:39,440 Speaker 1: if everything is all right. Yeah, no, I don't. I don't. 59 00:03:39,480 --> 00:03:42,560 Speaker 1: I wouldn't do that unless I knew them pretty well. Well. 60 00:03:42,680 --> 00:03:45,520 Speaker 1: Maybe in the past I probably would have, especially if 61 00:03:45,560 --> 00:03:49,120 Speaker 1: I was a bit younger, but now, for some reason, 62 00:03:49,720 --> 00:03:52,320 Speaker 1: my maybe it's just the amount of television shows I've 63 00:03:52,320 --> 00:03:56,560 Speaker 1: watched with police investigations, Like I didn't want my prints 64 00:03:56,600 --> 00:03:59,000 Speaker 1: to be in the house, like my footprints or anything 65 00:03:59,000 --> 00:04:01,240 Speaker 1: to be in the house in case anything bad had happened, 66 00:04:01,440 --> 00:04:03,480 Speaker 1: or if there was a crime scene, to do anything 67 00:04:03,520 --> 00:04:06,880 Speaker 1: to compromise it. Like I was terrified. So I called 68 00:04:06,880 --> 00:04:10,360 Speaker 1: the police and they came and they looked at the house. Um, 69 00:04:10,400 --> 00:04:14,360 Speaker 1: but I have to admit I felt really tense when 70 00:04:14,360 --> 00:04:17,880 Speaker 1: the police officers were there. Was it? Uh what what 71 00:04:17,960 --> 00:04:20,479 Speaker 1: did they find? Just how to have no idea? I 72 00:04:20,480 --> 00:04:23,839 Speaker 1: I didn't stay stick around. They dealt with me very coldly, 73 00:04:24,520 --> 00:04:29,080 Speaker 1: and I don't know that it was just it was 74 00:04:29,480 --> 00:04:31,599 Speaker 1: an experience that I don't know that I would do 75 00:04:31,600 --> 00:04:35,000 Speaker 1: it again. I would probably find the homeowners association whatever. 76 00:04:35,320 --> 00:04:38,240 Speaker 1: There isn't one where I live, but something to that effect. 77 00:04:38,560 --> 00:04:42,279 Speaker 1: And I don't think you could call nine one reports 78 00:04:42,360 --> 00:04:45,000 Speaker 1: something suspicious. It would have to be an emergency or 79 00:04:45,000 --> 00:04:47,200 Speaker 1: like a crime in progress. And I had no idea 80 00:04:47,400 --> 00:04:50,360 Speaker 1: what the state was. Right, Well, I hope things were 81 00:04:50,440 --> 00:04:53,840 Speaker 1: doubt did someone live at that house? Someone did, but 82 00:04:53,920 --> 00:04:57,360 Speaker 1: I think there were tenants and they moved out. Okay, well, 83 00:04:57,400 --> 00:05:00,280 Speaker 1: maybe it was a squatter or something. Yeah, who knows. 84 00:05:00,400 --> 00:05:02,880 Speaker 1: I have no information, but anyway, just wanted to reiterate 85 00:05:03,080 --> 00:05:08,080 Speaker 1: my uneasiness and that I felt even calling the police. 86 00:05:09,200 --> 00:05:14,840 Speaker 1: And there have been generational attitude changes toward law enforcement. Now, 87 00:05:14,960 --> 00:05:19,440 Speaker 1: whether you think that is a result of changing laws 88 00:05:19,520 --> 00:05:23,719 Speaker 1: or incarceration rates, or whether you think that's just something 89 00:05:23,960 --> 00:05:27,359 Speaker 1: in pop culture, the zeitgeist. Either way it is. It 90 00:05:27,520 --> 00:05:30,680 Speaker 1: is true that people have changed their opinions. And today 91 00:05:30,800 --> 00:05:33,760 Speaker 1: we are talking about a topic that has been on 92 00:05:34,560 --> 00:05:38,920 Speaker 1: people's minds for a a number of years, recently in 93 00:05:38,960 --> 00:05:42,799 Speaker 1: particular right. But we're also going to find that this 94 00:05:43,040 --> 00:05:47,000 Speaker 1: is part of something that dates far far back in 95 00:05:47,040 --> 00:05:51,279 Speaker 1: American history. What we were talking about today, ladies and gentlemen, 96 00:05:51,480 --> 00:05:56,200 Speaker 1: is law enforcement and race. And before we jump into 97 00:05:56,240 --> 00:05:58,320 Speaker 1: a bunch of statistics and stuff, I want to make 98 00:05:58,360 --> 00:06:02,240 Speaker 1: sure that people know this is not a This is 99 00:06:02,279 --> 00:06:07,479 Speaker 1: not a podcast intended to um take pot shots at 100 00:06:07,600 --> 00:06:11,279 Speaker 1: police officers, um, many of whom die in the line 101 00:06:11,279 --> 00:06:15,080 Speaker 1: of duty. Absolutely not. I don't know. I can't remember 102 00:06:15,080 --> 00:06:16,680 Speaker 1: if you have any law enforcement in your family, but 103 00:06:16,720 --> 00:06:19,280 Speaker 1: I have some of my family. And this is not 104 00:06:19,440 --> 00:06:23,440 Speaker 1: nothing against law enforcement officers in general at all. Right, 105 00:06:23,520 --> 00:06:27,320 Speaker 1: What what we're talking about more today will be the 106 00:06:27,640 --> 00:06:34,760 Speaker 1: larger trends, the statistics, and uh possibly the future. So Matt, 107 00:06:34,839 --> 00:06:38,279 Speaker 1: let's just start off with some stats. Huh Okay. According 108 00:06:38,320 --> 00:06:41,679 Speaker 1: to the two thousand and ten US Census, thirteen point 109 00:06:41,760 --> 00:06:45,520 Speaker 1: six percent of the US population identifies as African American. 110 00:06:45,880 --> 00:06:49,359 Speaker 1: That's less than one five of the United States population 111 00:06:49,360 --> 00:06:51,840 Speaker 1: as a whole. And when we did our video on 112 00:06:52,040 --> 00:06:57,000 Speaker 1: five frightening statistics about being Black in America, we started 113 00:06:57,040 --> 00:07:00,919 Speaker 1: with that as number one, which doesn't doesn't sound that 114 00:07:01,000 --> 00:07:04,279 Speaker 1: scary by itself, but yeah, it just gives context for 115 00:07:04,320 --> 00:07:07,000 Speaker 1: these other numbers that we're going to be throwing out here, right, 116 00:07:07,080 --> 00:07:11,000 Speaker 1: because we also found that despite being a smaller segment 117 00:07:11,080 --> 00:07:13,720 Speaker 1: of the population or a minority part of the population, 118 00:07:13,960 --> 00:07:21,200 Speaker 1: African Americans in general are disproportionately more likely to be detained, arrested, 119 00:07:21,320 --> 00:07:25,360 Speaker 1: or even prosecuted for a crime. Yeah. At least seventy departments, 120 00:07:25,840 --> 00:07:30,640 Speaker 1: uh police departments from Connecticut to California arrested black people 121 00:07:30,720 --> 00:07:34,160 Speaker 1: at a rate ten times higher than people who were 122 00:07:34,240 --> 00:07:38,200 Speaker 1: not black or not African American. That's according to USA Today. 123 00:07:38,600 --> 00:07:40,720 Speaker 1: And here's a statistic from the a c O you 124 00:07:40,840 --> 00:07:44,680 Speaker 1: that we found marijuana usage. Cannabis usage is roughly equal 125 00:07:44,760 --> 00:07:48,520 Speaker 1: among white people and black people. However, black people are 126 00:07:48,600 --> 00:07:51,960 Speaker 1: three points seven three times more likely to be arrested 127 00:07:52,000 --> 00:07:57,800 Speaker 1: for marijuana possession. And if somebody is arrested for a crime, 128 00:07:58,080 --> 00:08:02,960 Speaker 1: right and prosecution goes forward and they are convicted, then well, 129 00:08:03,000 --> 00:08:07,160 Speaker 1: let's say, okay, let's say that you have two friends, 130 00:08:07,840 --> 00:08:11,600 Speaker 1: Joe and John, and one of them is white, one 131 00:08:11,680 --> 00:08:14,520 Speaker 1: of them is black. They both get caught doing the 132 00:08:14,640 --> 00:08:19,760 Speaker 1: same crime, both get convicted. Statistically, the African American defendant 133 00:08:19,960 --> 00:08:24,080 Speaker 1: will have a longer, harsher sentence. According to the Wall 134 00:08:24,120 --> 00:08:27,880 Speaker 1: Street Journal, prison sentences from black men were nearly longer 135 00:08:27,920 --> 00:08:32,160 Speaker 1: than those for similar crimes for white men. And the 136 00:08:32,160 --> 00:08:34,000 Speaker 1: Wall Street Journal, to be fair, is not what you 137 00:08:34,000 --> 00:08:40,199 Speaker 1: would consider a tree hugging super liberal, abolished money, closed 138 00:08:40,240 --> 00:08:43,719 Speaker 1: all prisons kind of almost said, rag, but it's it's 139 00:08:43,720 --> 00:08:47,160 Speaker 1: a well respected newspapers, uh. And then we have more 140 00:08:47,280 --> 00:08:52,040 Speaker 1: from the Sentencing Project as studies that examine death penalty 141 00:08:52,080 --> 00:08:55,760 Speaker 1: cases have generally found that the vast majority of cases, 142 00:08:56,280 --> 00:08:59,559 Speaker 1: if the murder victim is white, the defendant is more 143 00:08:59,600 --> 00:09:01,960 Speaker 1: likely to receive a death sentence, no matter who they 144 00:09:01,960 --> 00:09:07,960 Speaker 1: are in a few jurisdictions, mainly the federal system. Minority defendants, 145 00:09:08,120 --> 00:09:11,520 Speaker 1: particularly black people, are more likely to receive a death 146 00:09:11,559 --> 00:09:16,280 Speaker 1: sentence in general. So what what we're seeing here? Um 147 00:09:16,440 --> 00:09:20,400 Speaker 1: and and of course these are not fully uh fleshed 148 00:09:20,400 --> 00:09:22,920 Speaker 1: out studies in a lot of ways, But what we're 149 00:09:22,920 --> 00:09:29,800 Speaker 1: seeing here is that the identity of the person convicted 150 00:09:30,120 --> 00:09:34,480 Speaker 1: or suspected of the crime seems to be having an 151 00:09:34,480 --> 00:09:38,520 Speaker 1: impact beyond the actual letter of the law for a 152 00:09:38,600 --> 00:09:42,920 Speaker 1: crime and a punishment, and even even the identity of 153 00:09:42,960 --> 00:09:47,680 Speaker 1: the victim. Yeah. Absolutely, and this this is troubling stuff. 154 00:09:47,720 --> 00:09:51,079 Speaker 1: I know that in recent years, with like the Trayvon 155 00:09:51,200 --> 00:09:57,239 Speaker 1: Martin case, with Michael Brown, uh and numerous other instances, 156 00:09:57,840 --> 00:10:03,720 Speaker 1: the American public became uh surprisingly divided, and people are saying, well, 157 00:10:04,360 --> 00:10:09,440 Speaker 1: this has become some sort of liberal or conservative cause 158 00:10:09,880 --> 00:10:14,000 Speaker 1: and started, I guess, I don't know. It's strange how 159 00:10:14,080 --> 00:10:19,040 Speaker 1: quickly things can divide a public, right, Yes, and and 160 00:10:19,120 --> 00:10:22,280 Speaker 1: both of those are very specific cases with things that 161 00:10:22,320 --> 00:10:25,280 Speaker 1: you can analyze, and a lot of times it seems 162 00:10:25,400 --> 00:10:28,360 Speaker 1: that those two cases in particular, or at least recently, 163 00:10:28,400 --> 00:10:31,840 Speaker 1: have been used to try and paint a picture of 164 00:10:32,000 --> 00:10:35,079 Speaker 1: this overall of a larger Yeah, of a larger thing. 165 00:10:35,200 --> 00:10:40,920 Speaker 1: And and of course, Matt, you and I are not lawyers. Well, 166 00:10:41,000 --> 00:10:43,640 Speaker 1: nol does a lot of stuff. No Noel might do 167 00:10:44,040 --> 00:10:48,160 Speaker 1: some law. I'm not sure. Maybe he. He strikes me 168 00:10:48,200 --> 00:10:50,160 Speaker 1: as someone who could definitely hold that hold it down 169 00:10:50,160 --> 00:10:52,240 Speaker 1: in the court room. So Noel does just a touch 170 00:10:52,280 --> 00:10:56,280 Speaker 1: of law. Between us, we are like point three lawyer. 171 00:10:57,360 --> 00:11:00,160 Speaker 1: But the reason we're saying that is that we are 172 00:11:00,240 --> 00:11:05,120 Speaker 1: not here to um, we're not here to for try 173 00:11:05,160 --> 00:11:08,720 Speaker 1: to force our own opinion on people. And I hope 174 00:11:08,720 --> 00:11:11,440 Speaker 1: that we can both do a good job on preaching 175 00:11:11,440 --> 00:11:13,040 Speaker 1: to myself here. I hope we both do a good 176 00:11:13,120 --> 00:11:16,640 Speaker 1: job of separating our opinion from our facts. And speaking 177 00:11:16,640 --> 00:11:19,800 Speaker 1: of facts, let's look at some more. Another thing we 178 00:11:19,840 --> 00:11:23,800 Speaker 1: can look at is the likelihood of imprisonment for males. 179 00:11:23,920 --> 00:11:26,840 Speaker 1: And this is again from the sentence the Sentencing Project 180 00:11:26,840 --> 00:11:32,480 Speaker 1: dot org. One in seventeen, Uh identify as white. So 181 00:11:32,559 --> 00:11:34,280 Speaker 1: if you are if you identify as white, you have 182 00:11:34,320 --> 00:11:37,720 Speaker 1: a one in seventeen chance of being in prison. If 183 00:11:37,800 --> 00:11:40,559 Speaker 1: you identify as black, you have a one in three 184 00:11:41,000 --> 00:11:45,520 Speaker 1: chance of going to prison at some point in your life. Yeah. Uh, 185 00:11:45,559 --> 00:11:50,400 Speaker 1: And also one in nine four men overall, So if 186 00:11:50,440 --> 00:11:53,800 Speaker 1: you're a man, you have more than a ten percent 187 00:11:53,920 --> 00:11:57,240 Speaker 1: chance of being in jail at some point. Yeah, that's 188 00:11:57,320 --> 00:12:01,199 Speaker 1: that's pretty that's pretty frightening. And that's throughout the United States. 189 00:12:01,240 --> 00:12:05,520 Speaker 1: That's an average that takes in everybody from the top 190 00:12:05,640 --> 00:12:09,720 Speaker 1: one percent of income to you know, the bottom and below. 191 00:12:10,080 --> 00:12:12,920 Speaker 1: It makes me, I was going to say, a person, 192 00:12:12,960 --> 00:12:16,559 Speaker 1: but it makes me I want to follow every rule 193 00:12:16,800 --> 00:12:20,600 Speaker 1: as closely as I possibly can to avoid that. Yeah, 194 00:12:20,640 --> 00:12:25,719 Speaker 1: there's another thing here. We'll we'll talk about the police shootings. 195 00:12:25,800 --> 00:12:31,440 Speaker 1: So despite being thirteen point six percent of the population, uh, 196 00:12:31,880 --> 00:12:36,120 Speaker 1: African Americans people identify as African Americans comprise about twenty 197 00:12:36,240 --> 00:12:40,280 Speaker 1: six percent of reported police shootings, and they are not 198 00:12:40,400 --> 00:12:44,760 Speaker 1: the most likely group to die in the course of 199 00:12:44,800 --> 00:12:47,520 Speaker 1: like a police arrest or detainment. Now, this was a 200 00:12:47,600 --> 00:12:52,559 Speaker 1: very surprising statistic that you found. Ben the most likely 201 00:12:52,920 --> 00:12:55,120 Speaker 1: part of the population in the US to be killed 202 00:12:55,120 --> 00:13:01,000 Speaker 1: by police, our Native Americans, Right, Yeah, the uh that's 203 00:13:01,320 --> 00:13:04,640 Speaker 1: point eight percent of the population, but one point nine 204 00:13:04,640 --> 00:13:08,280 Speaker 1: percent of the police killings. And these are based on 205 00:13:09,320 --> 00:13:14,520 Speaker 1: not the best numbers, no, but it's you know a 206 00:13:14,559 --> 00:13:18,520 Speaker 1: lot of these numbers actually aren't based on the best 207 00:13:18,520 --> 00:13:22,840 Speaker 1: information out there, because we don't have that information. We 208 00:13:23,040 --> 00:13:25,720 Speaker 1: you know, John Oliver talked about this. We've we've heard 209 00:13:25,760 --> 00:13:31,800 Speaker 1: this before. The tracking of of killings by law enforcement 210 00:13:32,320 --> 00:13:35,920 Speaker 1: is not up to snuff currently, at least from a 211 00:13:35,960 --> 00:13:40,840 Speaker 1: federal level. Right. Yeah, We found that federal databases that 212 00:13:40,960 --> 00:13:43,760 Speaker 1: do track use of force or rest related deaths by 213 00:13:43,800 --> 00:13:48,600 Speaker 1: police are painting a partial picture that you know, you'll have. 214 00:13:49,000 --> 00:13:54,679 Speaker 1: The FBI has a justifiable homicide list, right, and the 215 00:13:54,720 --> 00:13:58,400 Speaker 1: Department of Justice has a couple of different databases that 216 00:13:58,520 --> 00:14:03,439 Speaker 1: they maintain police departments, individual police departments, and again, these 217 00:14:03,440 --> 00:14:07,240 Speaker 1: can all be very very different, um within the state, 218 00:14:07,840 --> 00:14:10,640 Speaker 1: you know, not even considering what one state's kind of 219 00:14:10,679 --> 00:14:13,280 Speaker 1: police department approach would be to another one. In terms 220 00:14:13,280 --> 00:14:17,240 Speaker 1: of record keeping of the seventeen thousand roughly police departments 221 00:14:17,240 --> 00:14:21,600 Speaker 1: across the United States, um, many don't report or haven't 222 00:14:21,680 --> 00:14:25,880 Speaker 1: filed reports for these things, or have filed them in consistently. 223 00:14:26,360 --> 00:14:29,400 Speaker 1: And it kind of goes back to the question, you know, 224 00:14:29,920 --> 00:14:33,960 Speaker 1: is this a is this some sort of purposeful effort, 225 00:14:34,040 --> 00:14:38,400 Speaker 1: or is this something like another mountain of paperwork and 226 00:14:38,880 --> 00:14:41,440 Speaker 1: people have to actually go fight crime. You know, you 227 00:14:41,520 --> 00:14:46,040 Speaker 1: and I are no, no strangers, to just piles of 228 00:14:46,080 --> 00:14:48,600 Speaker 1: work that you have to get to. And I can 229 00:14:48,600 --> 00:14:51,280 Speaker 1: only imagine what that must be like. You know, you 230 00:14:51,320 --> 00:14:54,280 Speaker 1: need to track everything that happens within your police department 231 00:14:54,280 --> 00:14:56,680 Speaker 1: at all times. Every single police officer that's out on 232 00:14:56,720 --> 00:14:58,920 Speaker 1: the street has to make records of what they did 233 00:14:59,000 --> 00:15:02,280 Speaker 1: that day. And I can only imagine just what that 234 00:15:02,360 --> 00:15:06,000 Speaker 1: must be like to tackle, at least from a managerial perspective. So, 235 00:15:06,160 --> 00:15:10,680 Speaker 1: if the question is, uh, is the black male part 236 00:15:10,880 --> 00:15:16,160 Speaker 1: of the US population more likely to go to jail, 237 00:15:16,320 --> 00:15:21,320 Speaker 1: to be to be killed in the course of an arrest, 238 00:15:21,640 --> 00:15:25,440 Speaker 1: or to have a harsher sentence than someone else than 239 00:15:25,720 --> 00:15:29,160 Speaker 1: than the answer is yes. There is clear racial disparity 240 00:15:29,480 --> 00:15:32,920 Speaker 1: in various factors of law enforcement. And this is not 241 00:15:33,440 --> 00:15:36,720 Speaker 1: a controversial thing to say, and it's not a new 242 00:15:36,760 --> 00:15:41,160 Speaker 1: thing at all, No, and it's noticeable today. Um in 243 00:15:41,280 --> 00:15:44,920 Speaker 1: New York, San Diego, Las Vegas, the percentage of black 244 00:15:44,960 --> 00:15:48,400 Speaker 1: people killed by police was at least double that of 245 00:15:48,440 --> 00:15:51,760 Speaker 1: their share of the city's total population. That's a study 246 00:15:51,760 --> 00:15:54,440 Speaker 1: by a group called Color Lines, And we'll talk more 247 00:15:54,440 --> 00:16:04,040 Speaker 1: about that after a quick word from our sponsor. But 248 00:16:04,080 --> 00:16:06,080 Speaker 1: there is a silver lining here. If you want to 249 00:16:06,120 --> 00:16:10,760 Speaker 1: call it that the number of police killings or violence 250 00:16:10,880 --> 00:16:14,920 Speaker 1: by police officers has dramatically decreased since nineteen sixty. According 251 00:16:15,000 --> 00:16:19,600 Speaker 1: to the Center on Juvenile and Criminal Justice, the the 252 00:16:19,800 --> 00:16:23,240 Speaker 1: police killings of African Americans over the age of has 253 00:16:23,320 --> 00:16:27,880 Speaker 1: decreased by six since then. And there's this is such 254 00:16:27,920 --> 00:16:32,160 Speaker 1: a such an interesting and kind of disturbing thing. I 255 00:16:32,160 --> 00:16:35,080 Speaker 1: I do agree that it is what what was your 256 00:16:35,080 --> 00:16:40,760 Speaker 1: phrase of silver lining, but it hasn't dropped to zero. Yeah, 257 00:16:40,800 --> 00:16:47,680 Speaker 1: and and absolutely is not enough. However, it's when you 258 00:16:47,800 --> 00:16:51,240 Speaker 1: take into context the way this stuff is reported on 259 00:16:51,320 --> 00:16:55,120 Speaker 1: sometimes that number to me was at least a bit 260 00:16:55,760 --> 00:16:58,520 Speaker 1: I don't I don't know. Um made it feel a 261 00:16:58,600 --> 00:17:01,600 Speaker 1: little less like there's a dark cloud and it was 262 00:17:01,680 --> 00:17:05,280 Speaker 1: kind of moving away, slightly well going. And also considering 263 00:17:05,320 --> 00:17:10,000 Speaker 1: that this number accounts for the sixties, you know, in 264 00:17:10,000 --> 00:17:13,640 Speaker 1: the civil rights movement, Uh, there was probably also a 265 00:17:13,720 --> 00:17:17,480 Speaker 1: spike of violence. UM, so that might be that might 266 00:17:17,520 --> 00:17:19,960 Speaker 1: be part of it. Uh. You know, earlier we said 267 00:17:20,000 --> 00:17:24,600 Speaker 1: that someone identifying as African American has a one one 268 00:17:24,640 --> 00:17:28,200 Speaker 1: in three chance of going to jail for something at 269 00:17:28,240 --> 00:17:33,119 Speaker 1: some point in in his life. That to make it 270 00:17:33,119 --> 00:17:37,159 Speaker 1: a little more immediate. A black male born in in 271 00:17:37,200 --> 00:17:40,719 Speaker 1: this country has a chance of going to prison at 272 00:17:40,760 --> 00:17:46,520 Speaker 1: some point. That's compared to uh sixteen percent for Latino 273 00:17:47,320 --> 00:17:51,720 Speaker 1: or self identifying and for white males four per cent. 274 00:17:52,200 --> 00:17:58,960 Speaker 1: So there's a clear, clear disparity here. And you know, 275 00:17:59,040 --> 00:18:02,960 Speaker 1: when we first started looking at this UM, you know, 276 00:18:03,040 --> 00:18:06,280 Speaker 1: we we were concerned because we didn't want to be 277 00:18:06,320 --> 00:18:11,880 Speaker 1: out there vilifying an entire organization or even uh lionizing 278 00:18:12,000 --> 00:18:16,760 Speaker 1: leonizing um a group of people, like people commit crimes 279 00:18:16,880 --> 00:18:21,000 Speaker 1: and people can be corrupt because they're people, right, And 280 00:18:21,320 --> 00:18:26,760 Speaker 1: we'll talk some more about the state of police and 281 00:18:26,800 --> 00:18:29,960 Speaker 1: the government and the people that the police in the 282 00:18:30,000 --> 00:18:33,240 Speaker 1: government are supposed to be working with. And four which 283 00:18:33,280 --> 00:18:36,960 Speaker 1: has also changed. We talked about this and swat teams. 284 00:18:37,000 --> 00:18:39,920 Speaker 1: But first, for anyone who has not heard this yet, 285 00:18:40,760 --> 00:18:42,879 Speaker 1: if you're listening to our show, then we assume you 286 00:18:42,960 --> 00:18:45,240 Speaker 1: already kind of knew about this. But let's have a 287 00:18:45,280 --> 00:18:49,760 Speaker 1: word about incarceration in the United States. Okay, Well, as 288 00:18:49,800 --> 00:18:52,639 Speaker 1: many of you know, the United States of America is 289 00:18:52,680 --> 00:18:57,280 Speaker 1: a world leader when it comes to incarceration. We've even 290 00:18:57,400 --> 00:19:01,200 Speaker 1: branched out to you know, putting more nationals in jail 291 00:19:01,240 --> 00:19:06,400 Speaker 1: as well. Sure, Yeah, um, black sites across the planet. Chicago, 292 00:19:06,480 --> 00:19:10,400 Speaker 1: anybody the Chicago UM, which I think was I think 293 00:19:10,400 --> 00:19:15,480 Speaker 1: that was a dark site for local protesters maybe maybe 294 00:19:15,560 --> 00:19:20,560 Speaker 1: who knows. Guantanamo, of course. And I believe that the 295 00:19:20,800 --> 00:19:27,040 Speaker 1: private the private prison company c c P is UH 296 00:19:27,359 --> 00:19:33,040 Speaker 1: is looking to branch out into creating immigration holding centers. Yeah, 297 00:19:33,080 --> 00:19:36,040 Speaker 1: they wanna expand Oh man, I was gonna come with 298 00:19:36,160 --> 00:19:38,640 Speaker 1: some euphemism for business, but I'm not even gonna go there. 299 00:19:39,359 --> 00:19:43,320 Speaker 1: Um that CCP. If any of you don't know, CCP, 300 00:19:44,160 --> 00:19:46,760 Speaker 1: UH is one of the topics that we've covered before 301 00:19:46,760 --> 00:19:48,520 Speaker 1: in the past, and I highly recommend you check out 302 00:19:48,600 --> 00:19:52,320 Speaker 1: some of our videos on I forget exactly what the 303 00:19:52,320 --> 00:19:54,760 Speaker 1: titles are, but there's some of our classic videos on 304 00:19:54,840 --> 00:20:01,960 Speaker 1: incarceration and UH privatization of prisons. That's exactly what it is, 305 00:20:01,960 --> 00:20:06,160 Speaker 1: privatization of prisons. So we we know that it's it's 306 00:20:06,200 --> 00:20:08,840 Speaker 1: weird because we're looking at this and I don't want 307 00:20:08,840 --> 00:20:11,680 Speaker 1: to make light of this, but for a long time 308 00:20:12,119 --> 00:20:15,800 Speaker 1: everybody has said that, well, the United States is the 309 00:20:15,920 --> 00:20:20,520 Speaker 1: number one country when it comes to imprisoning people in 310 00:20:20,600 --> 00:20:25,040 Speaker 1: front of UH. It beats China, it beats the former 311 00:20:25,119 --> 00:20:29,119 Speaker 1: Soviet States. It beats on. I don't know, what's another 312 00:20:29,160 --> 00:20:31,640 Speaker 1: country that people say has a lot of prisoners. Well, 313 00:20:31,640 --> 00:20:34,399 Speaker 1: we just talked about North Korea. It beats North Korea. 314 00:20:34,680 --> 00:20:38,160 Speaker 1: I think, um and it and you know, maybe that's 315 00:20:38,240 --> 00:20:44,000 Speaker 1: just because it has more people to incarcerate. But we're 316 00:20:44,080 --> 00:20:46,800 Speaker 1: actually number two depending on the way you measure it, 317 00:20:47,680 --> 00:20:51,320 Speaker 1: which I I don't subscribe to, but technically yes, number 318 00:20:51,359 --> 00:20:55,600 Speaker 1: one is h l um. The this strange thing about 319 00:20:55,640 --> 00:20:58,920 Speaker 1: that is that it's such a small places, such a 320 00:20:59,000 --> 00:21:01,760 Speaker 1: it's an island country, it's such a small place that um, 321 00:21:01,800 --> 00:21:04,960 Speaker 1: I don't know if it's a fair comparison, But according 322 00:21:05,000 --> 00:21:08,400 Speaker 1: to the INN double a c P from to two 323 00:21:08,440 --> 00:21:12,680 Speaker 1: thousand eight, the number of people incarcerated in America quadrupled 324 00:21:13,280 --> 00:21:17,880 Speaker 1: just just from just from a few years, yeah, from 325 00:21:17,960 --> 00:21:21,879 Speaker 1: roughly five hundred thousand to two point three million people 326 00:21:21,960 --> 00:21:28,240 Speaker 1: behind bars, which makes us well, okay, here's the biggest 327 00:21:28,240 --> 00:21:30,879 Speaker 1: fact that stands out to me. The United States and 328 00:21:30,920 --> 00:21:35,760 Speaker 1: its territories make up five of the world's population. However, 329 00:21:36,840 --> 00:21:43,000 Speaker 1: we have of the world's inmates, right, and this means 330 00:21:43,040 --> 00:21:46,080 Speaker 1: that combining the number of people in prison or jail 331 00:21:46,280 --> 00:21:51,040 Speaker 1: currently with the people who are under parole or probationary 332 00:21:51,080 --> 00:21:54,840 Speaker 1: supervision gives us number one in every thirty one adults. 333 00:21:54,880 --> 00:21:58,119 Speaker 1: That's three point two per cent of the population. Under 334 00:21:58,240 --> 00:22:02,159 Speaker 1: some form of the phrase that's often used as correctional 335 00:22:02,280 --> 00:22:05,639 Speaker 1: control that sounds kind of euphemisica everything from the ankle 336 00:22:05,680 --> 00:22:09,720 Speaker 1: bracelets up to federal penitential. And of the two point 337 00:22:09,840 --> 00:22:14,800 Speaker 1: three million incarcerated people in this country, to bring it 338 00:22:14,840 --> 00:22:20,440 Speaker 1: back around, how many would you guess are African American? Well, 339 00:22:20,520 --> 00:22:25,320 Speaker 1: here is the tough truth. African Americans right now constitute 340 00:22:25,359 --> 00:22:28,800 Speaker 1: nearly one million of the total two point three million 341 00:22:28,880 --> 00:22:33,080 Speaker 1: incarcerated of the in the population. So that's an incarceration 342 00:22:33,200 --> 00:22:39,240 Speaker 1: rate nearly six times the rate of white citizens. And uh, 343 00:22:39,920 --> 00:22:44,200 Speaker 1: even though African Americans and people identifying as Hispanic or 344 00:22:44,280 --> 00:22:47,640 Speaker 1: Latino make up about one quarter of the US population, 345 00:22:47,920 --> 00:22:50,880 Speaker 1: they comprise fifty eight percent of all prisoners at least 346 00:22:50,880 --> 00:22:55,800 Speaker 1: in two thousand eight. So if if this group, if 347 00:22:55,840 --> 00:22:59,639 Speaker 1: if we went by these like ethnic lines, right, um, 348 00:22:59,760 --> 00:23:04,320 Speaker 1: then or this these categories, then uh, if everybody was 349 00:23:04,440 --> 00:23:09,040 Speaker 1: treated the way that uh, the current correctional system treats 350 00:23:09,640 --> 00:23:15,080 Speaker 1: white citizens, then the incarceration rate and the prison jail 351 00:23:15,119 --> 00:23:21,640 Speaker 1: populations would decline by approximately correct. It's it's strange, it's clearly, 352 00:23:21,880 --> 00:23:26,840 Speaker 1: it's clearly there, and it's it's tragic that this often 353 00:23:26,920 --> 00:23:30,960 Speaker 1: gets boiled down in the media into some sort of 354 00:23:31,600 --> 00:23:34,359 Speaker 1: um dare I say it's some sort of them or 355 00:23:34,520 --> 00:23:39,160 Speaker 1: US idea? When when we did our video on this 356 00:23:39,320 --> 00:23:43,040 Speaker 1: earlier this week, um, one of the things that that 357 00:23:43,160 --> 00:23:47,920 Speaker 1: really stuck with me was this idea that how the 358 00:23:48,080 --> 00:23:51,040 Speaker 1: government or the police, because really, when we're talking about 359 00:23:51,040 --> 00:23:56,920 Speaker 1: the police, what we're ultimately talking about is the government, right, 360 00:23:57,040 --> 00:24:01,880 Speaker 1: some level of governance that is supposed to be for 361 00:24:02,080 --> 00:24:05,440 Speaker 1: the people of the country, right. Um. But when when 362 00:24:05,520 --> 00:24:07,560 Speaker 1: we were doing that video, one thing that that I 363 00:24:08,040 --> 00:24:12,600 Speaker 1: remember clear as day is uh noting that how the 364 00:24:12,680 --> 00:24:16,080 Speaker 1: government treats any American citizens should be the concern of 365 00:24:16,320 --> 00:24:20,600 Speaker 1: every American citizen and and you know residents as well. 366 00:24:21,200 --> 00:24:25,480 Speaker 1: Like what we've heard horror stories before foreign nationals visiting 367 00:24:25,520 --> 00:24:29,280 Speaker 1: the States on vacation or to see family members and 368 00:24:29,320 --> 00:24:34,240 Speaker 1: having having a really where family shows I'll say messed 369 00:24:34,320 --> 00:24:37,160 Speaker 1: up time. Well, it makes me think of that show 370 00:24:37,320 --> 00:24:39,960 Speaker 1: Locked Up Abroad, I think is the name of it 371 00:24:40,400 --> 00:24:43,080 Speaker 1: that shows you, oh man, and this this prison was 372 00:24:43,119 --> 00:24:45,879 Speaker 1: so terrible in this other country and the experiences of 373 00:24:45,920 --> 00:24:48,880 Speaker 1: American citizens when they were abroad. Oh yeah, yeah, yeah. 374 00:24:48,840 --> 00:24:50,040 Speaker 1: It makes you feel like we need to have an 375 00:24:50,040 --> 00:24:52,520 Speaker 1: inverted version of that somewhere, and I wonder if there 376 00:24:52,600 --> 00:24:55,960 Speaker 1: is one. There may well be, but uh, you know, 377 00:24:56,040 --> 00:24:58,520 Speaker 1: I'm glad that we don't live in a country that 378 00:24:58,600 --> 00:25:02,840 Speaker 1: has and official death penalty for some of the things 379 00:25:02,920 --> 00:25:06,119 Speaker 1: where where there there are countries where it's still the 380 00:25:06,200 --> 00:25:09,960 Speaker 1: death penalty if you are a homosexual. Is the death 381 00:25:10,000 --> 00:25:14,960 Speaker 1: penalty if you get caught with um any kind of marijuana? Well, 382 00:25:15,040 --> 00:25:17,240 Speaker 1: that's a different podcast. And one thing that we're running 383 00:25:17,280 --> 00:25:21,200 Speaker 1: into when we look at this this idea is uh 384 00:25:21,359 --> 00:25:24,440 Speaker 1: that we're we're finding strings that connect to other things, 385 00:25:24,480 --> 00:25:27,840 Speaker 1: some of which we've covered, like, uh, the the idea 386 00:25:27,840 --> 00:25:31,919 Speaker 1: of privatized prisons, some of which we haven't, Like, is 387 00:25:32,000 --> 00:25:35,920 Speaker 1: there a purposeful churn to the cycle of poverty? Right? 388 00:25:35,960 --> 00:25:38,800 Speaker 1: We looked at income inequality? That might be a different question. 389 00:25:39,440 --> 00:25:41,840 Speaker 1: So now it's time for us to talk about the 390 00:25:41,840 --> 00:25:47,919 Speaker 1: the arguments or the the allegations of conspiracy here. Um, 391 00:25:47,960 --> 00:25:51,359 Speaker 1: Like the media is making out these cases of unarmed 392 00:25:51,440 --> 00:25:55,239 Speaker 1: black men being shot to be more than they are. Uh, 393 00:25:55,400 --> 00:25:57,760 Speaker 1: that's that's one of the arguments, and they talk about 394 00:25:57,760 --> 00:26:02,280 Speaker 1: the bias in reporting. Okay, I can kind of see 395 00:26:02,400 --> 00:26:06,080 Speaker 1: this situation where the media, you know, when a tragedy 396 00:26:06,359 --> 00:26:10,159 Speaker 1: like this happens, it is a story. It is not 397 00:26:10,280 --> 00:26:13,359 Speaker 1: only a tragedy, is also a story, and it is 398 00:26:13,440 --> 00:26:16,960 Speaker 1: something that can keep a twenty four hour news cycle 399 00:26:17,000 --> 00:26:19,320 Speaker 1: going for a long time because there are a lot 400 00:26:19,359 --> 00:26:23,800 Speaker 1: of different parts. There's the initial investigation, there's the trial, uh, 401 00:26:23,840 --> 00:26:26,080 Speaker 1: there's all the things that happened in splinter off. Because 402 00:26:26,119 --> 00:26:30,080 Speaker 1: of that, I can see how maybe in today's world, 403 00:26:30,240 --> 00:26:34,760 Speaker 1: where there are just hundreds of news channels and websites 404 00:26:35,000 --> 00:26:41,120 Speaker 1: and vlogs and podcasts like ours, even that will take 405 00:26:41,160 --> 00:26:44,199 Speaker 1: something like the Michael Brown case and would expand it 406 00:26:44,200 --> 00:26:48,119 Speaker 1: out into this huge thing when really, you know, at 407 00:26:48,440 --> 00:26:51,040 Speaker 1: the crux of it, it was a man that got 408 00:26:51,080 --> 00:26:55,480 Speaker 1: shot by a law enforcement officer. In the case of 409 00:26:55,600 --> 00:27:00,920 Speaker 1: Michael Brown specifically, this is this is the young man 410 00:27:00,960 --> 00:27:04,680 Speaker 1: who was who was shot by an officer named Darren 411 00:27:04,720 --> 00:27:12,040 Speaker 1: Wilson in Ferguson suburb in Missouri around August fourteen. And 412 00:27:13,400 --> 00:27:16,960 Speaker 1: one thing that we found is, you know, Ferguson became 413 00:27:17,040 --> 00:27:22,520 Speaker 1: the site of protest and the US government came down 414 00:27:22,600 --> 00:27:25,560 Speaker 1: pretty hard to the point where the airspace was controlled. 415 00:27:26,200 --> 00:27:28,880 Speaker 1: There were there were there were all kinds of rumors 416 00:27:28,880 --> 00:27:31,960 Speaker 1: flying back and forth about what the police may or 417 00:27:32,040 --> 00:27:35,080 Speaker 1: may not be doing. And we really saw the potential 418 00:27:35,400 --> 00:27:41,280 Speaker 1: for how much power government can bring to bear on 419 00:27:41,320 --> 00:27:45,960 Speaker 1: the people if it wishes. Yes, And we also saw, 420 00:27:46,320 --> 00:27:51,879 Speaker 1: you know, the reaction of a whole group of people 421 00:27:51,920 --> 00:27:56,440 Speaker 1: there that were protesting because they saw something that they 422 00:27:56,480 --> 00:28:00,320 Speaker 1: thought was a pattern that actually seems to be a pattern. 423 00:28:00,560 --> 00:28:02,920 Speaker 1: Did you see some of the leaks that were not leaks, 424 00:28:02,960 --> 00:28:04,960 Speaker 1: but some of the information coming out about the first 425 00:28:05,040 --> 00:28:11,840 Speaker 1: in police department? Uh? Yeah, yeah, they Ferguson is, at 426 00:28:11,920 --> 00:28:15,159 Speaker 1: least from this perspective for what we're talking about, a 427 00:28:15,280 --> 00:28:18,720 Speaker 1: bad place to be, right. Uh. I think there were 428 00:28:18,720 --> 00:28:24,480 Speaker 1: pretty good statistics that indicated even in areas where where 429 00:28:24,520 --> 00:28:27,720 Speaker 1: a black person would be by far the minority in 430 00:28:27,760 --> 00:28:31,000 Speaker 1: this situation, they were also by far more likely to 431 00:28:31,080 --> 00:28:34,560 Speaker 1: be pulled over, to be detained, to have the threat 432 00:28:34,600 --> 00:28:37,560 Speaker 1: of use of force. Right. Uh. And there was one 433 00:28:37,600 --> 00:28:43,520 Speaker 1: statistic where the the findings indicated that white members of 434 00:28:43,520 --> 00:28:46,560 Speaker 1: the community were more likely to be driving with guns 435 00:28:46,760 --> 00:28:49,520 Speaker 1: or something, driving with unlicensed guns or something and carrying 436 00:28:49,600 --> 00:28:52,640 Speaker 1: drugs and carrying drugs. So yeah, that's the one and 437 00:28:52,840 --> 00:28:55,960 Speaker 1: far less likely to be pulled over. This is this 438 00:28:56,040 --> 00:28:59,960 Speaker 1: is something that leads people on the other side to say, 439 00:29:00,160 --> 00:29:02,360 Speaker 1: on the other side of the argument, to say, the 440 00:29:02,520 --> 00:29:08,400 Speaker 1: government is actively working to suppress Black America, especially males. 441 00:29:09,640 --> 00:29:15,560 Speaker 1: And unfortunately this has historically at least been the case slavery, 442 00:29:15,800 --> 00:29:20,480 Speaker 1: Jim Crow laws. Right. Arguably the prison system today, the 443 00:29:21,080 --> 00:29:25,600 Speaker 1: especially with the use of contracted out labor. Right. Yeah, well, 444 00:29:25,640 --> 00:29:29,320 Speaker 1: I mean I hate to say it, but voting rights restrictions. 445 00:29:29,680 --> 00:29:32,239 Speaker 1: Voting rights restrictions. Yeah, you cannot vote if you were 446 00:29:32,280 --> 00:29:36,800 Speaker 1: a felon. So what what this leads us to is, um, 447 00:29:37,240 --> 00:29:39,320 Speaker 1: and you know, again we'll say police are people too. 448 00:29:39,400 --> 00:29:42,240 Speaker 1: They're often constrained by top down rules and and one 449 00:29:42,240 --> 00:29:44,560 Speaker 1: of the arguments that you will hear in in favor 450 00:29:44,720 --> 00:29:47,800 Speaker 1: or maybe as a mitigating factor for police, is that 451 00:29:47,840 --> 00:29:52,000 Speaker 1: they're frequently put in fight or flight situations. Uh. These 452 00:29:52,000 --> 00:29:54,480 Speaker 1: are life and death things where seconds really can make 453 00:29:54,520 --> 00:29:58,959 Speaker 1: the difference. Um. With with that being said, uh, there's 454 00:29:59,040 --> 00:30:03,160 Speaker 1: there's a question here. Ties into militarization of police are 455 00:30:03,280 --> 00:30:08,120 Speaker 1: the current training tactics. Uh, the hardware and the vehicles 456 00:30:08,160 --> 00:30:12,240 Speaker 1: that are being increasingly distributed to domestic law enforcement places, 457 00:30:12,440 --> 00:30:17,360 Speaker 1: are they teaching these professionals? Are training these professionals rather 458 00:30:17,760 --> 00:30:24,000 Speaker 1: to see every citizen as a potential threat and lethal force. 459 00:30:24,480 --> 00:30:27,960 Speaker 1: A lot of the weaponry and systems that are being 460 00:30:28,000 --> 00:30:31,760 Speaker 1: provided for these police departments are based upon lethal force, 461 00:30:32,120 --> 00:30:35,760 Speaker 1: unless you look at some of the like the tactical 462 00:30:36,600 --> 00:30:38,959 Speaker 1: not it's not l red system, but it's the sound 463 00:30:39,120 --> 00:30:41,880 Speaker 1: I forget the name of it, but it's the the 464 00:30:42,320 --> 00:30:45,800 Speaker 1: sonic pain thing. Yeah, it makes you feel like your 465 00:30:45,920 --> 00:30:48,680 Speaker 1: skin is on fire. Yeah. And there's also the one 466 00:30:48,760 --> 00:30:52,360 Speaker 1: that just has that really piercing loud sound that we 467 00:30:52,440 --> 00:30:57,040 Speaker 1: saw in Ferguson um and it just makes you wonder 468 00:30:57,200 --> 00:31:01,960 Speaker 1: how much more non lethal force could be used. However, 469 00:31:02,120 --> 00:31:04,920 Speaker 1: on the other side, again, if you're going in with 470 00:31:05,000 --> 00:31:08,360 Speaker 1: non lethal force against somebody who was you know, going 471 00:31:08,400 --> 00:31:12,480 Speaker 1: to attack a police officer with lethal force, I mean, 472 00:31:12,520 --> 00:31:15,640 Speaker 1: what do you do there? Well? Those uh, those non 473 00:31:15,720 --> 00:31:20,040 Speaker 1: lethal weapons, you know, they're they're non lethal asterix right, 474 00:31:20,280 --> 00:31:23,320 Speaker 1: unless you're you know, ill or have a bad heart 475 00:31:23,960 --> 00:31:26,960 Speaker 1: or yeah, they're definitely still weapons. And those are for 476 00:31:27,040 --> 00:31:32,240 Speaker 1: crowd control more than an individual. Um. But this, This 477 00:31:32,360 --> 00:31:35,080 Speaker 1: brought up some questions that that we had for you 478 00:31:35,160 --> 00:31:39,400 Speaker 1: out there listening, Um, what what do you think about this, 479 00:31:39,400 --> 00:31:44,880 Speaker 1: this racial discrepancy in in law enforcement, in UH sentencing. 480 00:31:45,760 --> 00:31:50,400 Speaker 1: What what do you think the future of the police 481 00:31:50,680 --> 00:31:54,520 Speaker 1: and race in America is going to be? No, Matt, 482 00:31:54,600 --> 00:31:58,080 Speaker 1: this makes me think of, um, some some interesting stuff 483 00:31:58,120 --> 00:32:01,800 Speaker 1: because remember we did Net neutral Reality recently, and we 484 00:32:01,880 --> 00:32:06,960 Speaker 1: had so many letters from you guys saying, well, net 485 00:32:07,000 --> 00:32:10,560 Speaker 1: neutrality or this Open Internet Order is just a backdoor 486 00:32:10,680 --> 00:32:15,280 Speaker 1: version of SOAPA, which was what was SOAPA meant. SOPA 487 00:32:15,440 --> 00:32:18,040 Speaker 1: was something that did get passed by the House of 488 00:32:18,080 --> 00:32:22,440 Speaker 1: Representatives a little while ago, at least I think I 489 00:32:22,440 --> 00:32:24,680 Speaker 1: can't remember the sober people the one was passed by 490 00:32:24,720 --> 00:32:28,080 Speaker 1: a House and then shut down by the Senate. Anyway, 491 00:32:28,120 --> 00:32:30,680 Speaker 1: it was. It was failed legislation that was going to 492 00:32:30,720 --> 00:32:33,680 Speaker 1: do a lot of things to control the Internet, and 493 00:32:33,720 --> 00:32:39,080 Speaker 1: there were it was mostly for corporations to benefit corporations, 494 00:32:39,080 --> 00:32:41,040 Speaker 1: and then also for the government to have control over 495 00:32:41,080 --> 00:32:43,560 Speaker 1: the Internet if they needed if they needed it. So 496 00:32:43,600 --> 00:32:47,040 Speaker 1: we received some letters about about this saying, you know, 497 00:32:47,520 --> 00:32:50,680 Speaker 1: arguing that the Open Internet Order was essentially a trojan horse. 498 00:32:51,120 --> 00:32:55,080 Speaker 1: And then it makes me wonder if we could find 499 00:32:55,080 --> 00:32:59,880 Speaker 1: a future where the where the answer to uh, discrepancy 500 00:33:00,360 --> 00:33:04,600 Speaker 1: or or prejudice in law enforcement would be something like 501 00:33:05,480 --> 00:33:10,440 Speaker 1: robot police, right, robotic police who who have some sort 502 00:33:10,480 --> 00:33:14,720 Speaker 1: of access to your history already and can objectively make 503 00:33:14,760 --> 00:33:17,720 Speaker 1: a decision about, you know, if you're breaking the law, 504 00:33:18,400 --> 00:33:21,680 Speaker 1: or what about what about pre crime? What about using 505 00:33:21,720 --> 00:33:24,040 Speaker 1: big data to predict the future, which is something we're 506 00:33:24,040 --> 00:33:26,760 Speaker 1: gonna be talking about later. I think that's something we're 507 00:33:26,800 --> 00:33:29,200 Speaker 1: going to see whether we like it or not, whether 508 00:33:29,320 --> 00:33:33,720 Speaker 1: or not it's actually effective. I guess we'll find out 509 00:33:33,800 --> 00:33:37,760 Speaker 1: by the statistics that will be made up. Yeah. It 510 00:33:37,800 --> 00:33:42,560 Speaker 1: reminds me of Isaac Asimov's Foundation series um where this 511 00:33:42,560 --> 00:33:47,040 Speaker 1: guy named Selden invents something he calls psychohistory, and the 512 00:33:47,080 --> 00:33:50,400 Speaker 1: idea is that if you take a large enough population size, 513 00:33:50,920 --> 00:33:54,040 Speaker 1: you can begin to predict the future. And it doesn't 514 00:33:54,040 --> 00:33:59,520 Speaker 1: work for individuals, right, only works for big systems exactly. 515 00:33:59,840 --> 00:34:03,160 Speaker 1: And I wonder if we could be in that kind 516 00:34:03,160 --> 00:34:07,080 Speaker 1: of situation, if that will be what is presented as 517 00:34:07,280 --> 00:34:10,680 Speaker 1: a solution to to what is a real problem. But 518 00:34:10,960 --> 00:34:13,960 Speaker 1: with pre crime, Ben, We've talked about this before. If 519 00:34:14,000 --> 00:34:17,319 Speaker 1: you arrest someone for a crime they were imminently going 520 00:34:17,360 --> 00:34:20,200 Speaker 1: to commit. There is no way to prove that they 521 00:34:20,239 --> 00:34:23,200 Speaker 1: were actually going to commit that crime, even if you 522 00:34:23,239 --> 00:34:27,759 Speaker 1: have data showing that they they most likely or with probability, 523 00:34:27,800 --> 00:34:31,560 Speaker 1: would have committed the crime until there's a legal precedent set. 524 00:34:31,840 --> 00:34:35,800 Speaker 1: Then after it's Katie by the door, or if there 525 00:34:35,840 --> 00:34:40,160 Speaker 1: we can somehow buffer reality, so there's like a ten 526 00:34:40,200 --> 00:34:44,839 Speaker 1: minute buffer on real time where this system operates ten 527 00:34:44,880 --> 00:34:49,520 Speaker 1: minutes in the future. I'm sorry, I'm just I mean, 528 00:34:49,600 --> 00:34:52,720 Speaker 1: if that was if that's possible, then one thing human 529 00:34:52,800 --> 00:34:55,120 Speaker 1: history has shown us is the first thing people will 530 00:34:55,160 --> 00:34:57,240 Speaker 1: do is use it as some kind of snooze button. 531 00:34:57,920 --> 00:35:00,480 Speaker 1: It won't be used effectively. It'll be like an extra 532 00:35:00,520 --> 00:35:04,160 Speaker 1: ten minutes to sleep. That I yeah, I'm cool with 533 00:35:04,200 --> 00:35:08,839 Speaker 1: it too. Um. So we've delved into statistics and some 534 00:35:08,920 --> 00:35:11,960 Speaker 1: facts and some statements and some analysis, and one of 535 00:35:12,000 --> 00:35:16,520 Speaker 1: the most devilishly difficult things about this again was that 536 00:35:17,000 --> 00:35:21,520 Speaker 1: there was so little comprehensive data. You know, we've got 537 00:35:21,560 --> 00:35:23,960 Speaker 1: little pieces of the pie, we've got little pieces of 538 00:35:23,960 --> 00:35:30,319 Speaker 1: the puzzle. But if there is some group or institution, 539 00:35:30,600 --> 00:35:33,440 Speaker 1: you know, maybe the n essay, Hi, guys, if you're listening. 540 00:35:33,480 --> 00:35:38,279 Speaker 1: If if they're tracking building a comprehensive database of of 541 00:35:38,320 --> 00:35:40,840 Speaker 1: these sorts of offenses, then it's something that needs to 542 00:35:40,880 --> 00:35:45,120 Speaker 1: be out in the public eye people. People need to know. Yeah, 543 00:35:45,200 --> 00:35:47,560 Speaker 1: but how effective is it if it's in the public eye, Ben, 544 00:35:48,600 --> 00:35:51,680 Speaker 1: I don't know. We should take a road trip to Utah. 545 00:35:51,920 --> 00:35:55,080 Speaker 1: Let's do it. So everyone, we want to hear from you. 546 00:35:55,160 --> 00:35:58,560 Speaker 1: Are you a law enforcement officer and have experience with 547 00:35:58,760 --> 00:36:01,560 Speaker 1: this type of stuff, please write to us. We would 548 00:36:01,560 --> 00:36:04,719 Speaker 1: love to get some perspective. Um. Also, if you've had 549 00:36:04,960 --> 00:36:08,000 Speaker 1: run ins with law enforcement and you want to tell 550 00:36:08,040 --> 00:36:11,000 Speaker 1: us about that, please do. We'd love to hear from you. 551 00:36:11,000 --> 00:36:13,080 Speaker 1: You can find us on Facebook, you can find us 552 00:36:13,080 --> 00:36:15,800 Speaker 1: on Twitter where conspiracy stuff on both of those And 553 00:36:16,239 --> 00:36:19,200 Speaker 1: that's the end of this classic episode. 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