1 00:00:00,400 --> 00:00:02,759 Speaker 1: Are you looking for brand new episodes of a short 2 00:00:02,800 --> 00:00:06,520 Speaker 1: how Stuff Works podcast that explains the everyday world around us, 3 00:00:06,760 --> 00:00:10,280 Speaker 1: then check out brain Stuff with me Christian Saga. New 4 00:00:10,280 --> 00:00:14,520 Speaker 1: episodes hit every Monday and Wednesday on iTunes, Google Play, Spotify, 5 00:00:14,760 --> 00:00:19,960 Speaker 1: or anywhere else you get your podcasts from UFOs two, 6 00:00:19,960 --> 00:00:23,960 Speaker 1: Ghosts and Government cover Ups. History is riddled with unexplained events. 7 00:00:24,440 --> 00:00:27,040 Speaker 1: You can turn back now or learn the stuff they 8 00:00:27,040 --> 00:00:35,320 Speaker 1: don't want you to now. Greetings, welcome back to the show. 9 00:00:35,400 --> 00:00:38,199 Speaker 1: My name is Matt and I'm Ben Weird here with 10 00:00:38,320 --> 00:00:43,960 Speaker 1: our super producer Noel sirens An Brown, which means that 11 00:00:44,040 --> 00:00:48,400 Speaker 1: this is stuff they don't want you to know. Oh good, Okay, Yes, 12 00:00:48,479 --> 00:00:50,839 Speaker 1: we're in the right place, and hopefully so are you. 13 00:00:51,159 --> 00:00:57,040 Speaker 1: Ladies and gentlemen. Uh, Matt put story when I was younger, 14 00:00:57,240 --> 00:00:59,360 Speaker 1: when you were younger. I guess we're all younger if 15 00:00:59,360 --> 00:01:02,640 Speaker 1: we're talking about the past. There was a show on 16 00:01:02,760 --> 00:01:06,000 Speaker 1: television which I think might still be on, called cops 17 00:01:06,680 --> 00:01:11,240 Speaker 1: Ys Reloaded Now I believe, maybe not. I know I've 18 00:01:11,280 --> 00:01:14,679 Speaker 1: seen that somewhere on the TV. Guy And as a kid, 19 00:01:15,040 --> 00:01:21,319 Speaker 1: I had this superstition that if ever I sang the 20 00:01:21,319 --> 00:01:25,280 Speaker 1: theme song out loud, something bad would happen, like you 21 00:01:25,319 --> 00:01:30,040 Speaker 1: would summon police or criminals. I'm not too clear on it. Again, 22 00:01:30,080 --> 00:01:33,360 Speaker 1: I was a kid, just something bad, and it's something 23 00:01:33,400 --> 00:01:36,319 Speaker 1: that I've stuck with today. Now. I'm not bothered, of course, 24 00:01:36,400 --> 00:01:38,480 Speaker 1: if anybody else is singing around me or if I 25 00:01:38,560 --> 00:01:43,840 Speaker 1: hear it. But as as ridiculous as I know that 26 00:01:44,040 --> 00:01:47,160 Speaker 1: is intellectually, there's still just a little part of me 27 00:01:47,680 --> 00:01:53,640 Speaker 1: that hesitates because I, like most people in the United States, 28 00:01:54,040 --> 00:01:59,600 Speaker 1: want absolutely no problem with police officers. Absolutely. I have 29 00:01:59,640 --> 00:02:03,560 Speaker 1: a quick story. So the house that I lived next to, 30 00:02:04,280 --> 00:02:06,360 Speaker 1: I take my dogs out in the backyard. We have 31 00:02:06,360 --> 00:02:08,840 Speaker 1: a little fenced in area, and I noticed that my 32 00:02:09,320 --> 00:02:13,000 Speaker 1: house just next to mine, the back door to the 33 00:02:13,000 --> 00:02:15,320 Speaker 1: basement was wide open and the lights were on. This 34 00:02:15,400 --> 00:02:19,040 Speaker 1: is around eleven o'clock at night when I noticed this, 35 00:02:19,600 --> 00:02:22,120 Speaker 1: and I didn't think too much of it. You know, 36 00:02:22,240 --> 00:02:24,840 Speaker 1: maybe they're airing out the basement, maybe someone just working, 37 00:02:24,960 --> 00:02:28,720 Speaker 1: and so anyway, I just went back inside. Well, for 38 00:02:28,760 --> 00:02:31,320 Speaker 1: the next three nights, I noticed that it was in 39 00:02:31,360 --> 00:02:33,880 Speaker 1: the exact same state when I would take my dogs out, 40 00:02:34,480 --> 00:02:36,200 Speaker 1: and I started getting a little worried. You know what 41 00:02:36,280 --> 00:02:39,520 Speaker 1: if somebody in the house, you know, fell or something 42 00:02:39,560 --> 00:02:42,200 Speaker 1: and got hurt while I'm cleaning, you know. So I 43 00:02:42,280 --> 00:02:45,800 Speaker 1: ended up calling the police department, and I it was 44 00:02:45,840 --> 00:02:49,960 Speaker 1: the first time I've actually called the police department, um, 45 00:02:50,000 --> 00:02:51,600 Speaker 1: because I was a little nervous. I don't know if 46 00:02:51,600 --> 00:02:53,080 Speaker 1: you would have been nervous, but I didn't want to 47 00:02:53,120 --> 00:02:55,399 Speaker 1: just walk into my neighbor's home to check and see 48 00:02:55,400 --> 00:02:57,959 Speaker 1: if everything is all right. Yeah, no, I don't. I don't. 49 00:02:57,960 --> 00:03:01,040 Speaker 1: I wouldn't do that unless I knew them do well. Well, 50 00:03:01,160 --> 00:03:04,040 Speaker 1: maybe in the past I probably would have, especially if 51 00:03:04,040 --> 00:03:07,600 Speaker 1: I was a bit younger, but now for some reason, 52 00:03:08,200 --> 00:03:10,799 Speaker 1: my maybe it's just the amount of television shows I've 53 00:03:10,840 --> 00:03:15,040 Speaker 1: watched with police investigations. Like I didn't want my prints 54 00:03:15,080 --> 00:03:17,480 Speaker 1: to be in the house, like my footprints or anything 55 00:03:17,520 --> 00:03:19,720 Speaker 1: to be in the house in case anything bad had happened, 56 00:03:19,960 --> 00:03:22,000 Speaker 1: or if there was a crime scene, to do anything 57 00:03:22,040 --> 00:03:25,360 Speaker 1: to compromise it. Like I was terrified. So I called 58 00:03:25,360 --> 00:03:28,840 Speaker 1: the police and they came and they looked at the house. Um. 59 00:03:28,880 --> 00:03:32,839 Speaker 1: But I have to admit I felt really tense when 60 00:03:32,880 --> 00:03:36,400 Speaker 1: the police officers were there. Was it, Uh, what what 61 00:03:36,480 --> 00:03:38,400 Speaker 1: did they find? Just out to I have no idea. 62 00:03:38,720 --> 00:03:41,520 Speaker 1: I I didn't stay stick around. They dealt with me 63 00:03:41,680 --> 00:03:46,360 Speaker 1: very coldly, and I don't know that it was just 64 00:03:47,120 --> 00:03:49,760 Speaker 1: it was an experience that I don't know that I 65 00:03:49,800 --> 00:03:52,640 Speaker 1: would do it again. I would probably find the homeowners 66 00:03:52,680 --> 00:03:55,040 Speaker 1: association whatever if there isn't one where I live, but 67 00:03:55,640 --> 00:03:58,320 Speaker 1: something to that effect. And I don't think you could 68 00:03:58,360 --> 00:04:02,160 Speaker 1: call nine one one to report something suspicious. It would 69 00:04:02,160 --> 00:04:04,760 Speaker 1: have to be an emergency or like a crime and progress. 70 00:04:04,920 --> 00:04:07,960 Speaker 1: And I had no idea what the state was. Right, well, 71 00:04:08,000 --> 00:04:10,680 Speaker 1: I hope things were doubt did someone live at that house? 72 00:04:11,400 --> 00:04:13,960 Speaker 1: Someone did, but I think there were tenants and they 73 00:04:14,000 --> 00:04:17,480 Speaker 1: moved out. Okay, well maybe it was a squatter or something. 74 00:04:18,080 --> 00:04:20,200 Speaker 1: Who who knows. I have no information, but anyway, I 75 00:04:20,240 --> 00:04:25,120 Speaker 1: just wanted to reiterate my uneasiness and that I felt 76 00:04:25,200 --> 00:04:30,560 Speaker 1: even calling the police. And there have been generational attitude 77 00:04:30,680 --> 00:04:34,880 Speaker 1: changes toward law enforcement. Now, whether you think that is 78 00:04:35,560 --> 00:04:40,200 Speaker 1: a result of changing laws or incarceration rates, or whether 79 00:04:40,279 --> 00:04:44,240 Speaker 1: you think that's just something in pop culture the zeitgeist. 80 00:04:44,560 --> 00:04:46,960 Speaker 1: Either way it is, it is true that people have 81 00:04:47,040 --> 00:04:50,400 Speaker 1: changed their opinions. And today we are talking about a 82 00:04:50,480 --> 00:04:55,640 Speaker 1: topic that has been on people's minds for a number 83 00:04:55,760 --> 00:05:00,160 Speaker 1: of years. Recently in particular, right, but we're also going 84 00:05:00,200 --> 00:05:04,200 Speaker 1: to find that this is part of something that dates far, 85 00:05:04,480 --> 00:05:08,640 Speaker 1: far back in American history. What we're talking about today, 86 00:05:08,920 --> 00:05:13,200 Speaker 1: ladies and gentlemen, is law enforcement and race. And before 87 00:05:13,320 --> 00:05:16,359 Speaker 1: we jump into a bunch of statistics and stuff, I 88 00:05:16,360 --> 00:05:19,200 Speaker 1: want to make sure that people know this is not 89 00:05:19,960 --> 00:05:24,320 Speaker 1: a This is not a podcast intended to um take 90 00:05:24,400 --> 00:05:29,280 Speaker 1: pot shots at police officers, um, many of whom die 91 00:05:29,320 --> 00:05:32,279 Speaker 1: in the line of duty. Absolutely not. I don't know. 92 00:05:32,880 --> 00:05:34,640 Speaker 1: I can't remember if you have any law enforcement in 93 00:05:34,680 --> 00:05:36,599 Speaker 1: your family, but I have some of my family. And 94 00:05:37,200 --> 00:05:41,000 Speaker 1: this is not nothing against law enforcement officers in general 95 00:05:41,000 --> 00:05:44,799 Speaker 1: at all. Right, what what we're talking about more today 96 00:05:44,839 --> 00:05:51,000 Speaker 1: will be the larger trends, the statistics, and uh possibly 97 00:05:51,320 --> 00:05:55,040 Speaker 1: the future. So Matt, let's just start off with some stats. 98 00:05:55,120 --> 00:05:58,839 Speaker 1: Huh Okay. According to the two thousand and ten US Census, 99 00:05:59,240 --> 00:06:02,720 Speaker 1: thirteen point six percent of the U s population identifies 100 00:06:02,839 --> 00:06:06,400 Speaker 1: as African American. That's less than one five of the 101 00:06:06,520 --> 00:06:09,480 Speaker 1: United States population as a whole. And when we did 102 00:06:09,520 --> 00:06:14,479 Speaker 1: our video on five frightening statistics about being Black in America, 103 00:06:14,839 --> 00:06:19,000 Speaker 1: we started with that as number one, which doesn't doesn't 104 00:06:19,000 --> 00:06:21,839 Speaker 1: sound that scary by itself, but yeah, it just gives 105 00:06:21,839 --> 00:06:24,240 Speaker 1: context for these other numbers that we're going to be 106 00:06:24,240 --> 00:06:27,560 Speaker 1: throwing out here, right, because we also found that despite 107 00:06:27,600 --> 00:06:31,200 Speaker 1: being a smaller segment of the population or a minority 108 00:06:31,240 --> 00:06:35,520 Speaker 1: part of the population, African Americans in general are disproportionately 109 00:06:35,560 --> 00:06:40,880 Speaker 1: more likely to be detained, arrested, or even prosecuted for 110 00:06:40,920 --> 00:06:45,400 Speaker 1: a crime. Yeah. At least seventy departments, UH police departments 111 00:06:45,440 --> 00:06:49,800 Speaker 1: from Connecticut to California arrested black people at a rate 112 00:06:49,839 --> 00:06:53,400 Speaker 1: ten times higher than people who were not black or 113 00:06:53,440 --> 00:06:57,599 Speaker 1: not African American. That's according to USA Today. And here's 114 00:06:57,640 --> 00:06:59,520 Speaker 1: a statistic from the a c L you that we 115 00:06:59,560 --> 00:07:03,840 Speaker 1: found marijuana usage. Cannabis usage is roughly equal among white 116 00:07:03,839 --> 00:07:07,840 Speaker 1: people and black people. However, black people are three points 117 00:07:07,880 --> 00:07:11,680 Speaker 1: seven three times more likely to be arrested for marijuana possession. 118 00:07:12,480 --> 00:07:17,000 Speaker 1: And if somebody is arrested for a crime, right, and 119 00:07:17,160 --> 00:07:22,200 Speaker 1: prosecution goes forward and they are convicted, then well, let's say, okay, 120 00:07:22,280 --> 00:07:27,480 Speaker 1: let's say that you have two friends, Joe and John, 121 00:07:28,160 --> 00:07:31,000 Speaker 1: and one of them is white, one of them is black. 122 00:07:31,200 --> 00:07:36,640 Speaker 1: They both get caught doing the same crime, both get convicted. Statistically, 123 00:07:36,680 --> 00:07:41,400 Speaker 1: the African American defendant will have a longer, harsher sentence. 124 00:07:41,880 --> 00:07:44,520 Speaker 1: According to the Wall Street Journal, prison sentences from black 125 00:07:44,520 --> 00:07:48,960 Speaker 1: men were nearly longer than those for similar crimes for 126 00:07:49,040 --> 00:07:51,960 Speaker 1: white men. And the Wall Street Journal, to be fair, 127 00:07:52,040 --> 00:07:56,400 Speaker 1: is not what you would consider a tree hugging, super liberal, 128 00:07:57,520 --> 00:08:01,520 Speaker 1: abolished money, closed all prisons kind of almost said, rag. 129 00:08:01,600 --> 00:08:04,920 Speaker 1: But it's it's a well respected newspapers record. Uh. And 130 00:08:04,960 --> 00:08:09,080 Speaker 1: then we have more from the Sentencing Project as studies 131 00:08:09,080 --> 00:08:12,840 Speaker 1: that examine death penalty cases have generally found that the 132 00:08:12,920 --> 00:08:16,720 Speaker 1: vast majority of cases, if the murder victim is white, 133 00:08:17,000 --> 00:08:19,680 Speaker 1: the defendant is more likely to receive a death sentence 134 00:08:19,760 --> 00:08:23,600 Speaker 1: no matter who they are. In a few jurisdictions, mainly 135 00:08:23,640 --> 00:08:28,760 Speaker 1: the federal system, minority defendants, particularly black people, are more 136 00:08:28,840 --> 00:08:33,120 Speaker 1: likely to receive a death sentence in general. So what 137 00:08:33,120 --> 00:08:36,000 Speaker 1: what we're seeing here? Um and and of course these 138 00:08:36,040 --> 00:08:40,040 Speaker 1: are not fully uh fleshed out studies in a lot 139 00:08:40,080 --> 00:08:44,280 Speaker 1: of ways. But what we're seeing here is that the 140 00:08:44,520 --> 00:08:50,160 Speaker 1: identity of the person convicted or suspected of the crime 141 00:08:50,720 --> 00:08:55,800 Speaker 1: seems to be having an impact beyond the actual letter 142 00:08:55,840 --> 00:08:58,400 Speaker 1: of the law for a crime and a punishment right 143 00:08:58,640 --> 00:09:03,400 Speaker 1: and even even the identity of the victim. Yeah. Absolutely, 144 00:09:03,840 --> 00:09:07,640 Speaker 1: And this this is troubling stuff. I know that in 145 00:09:07,840 --> 00:09:12,680 Speaker 1: recent years, with like the Trayvon Martin case, with Michael Brown, 146 00:09:13,240 --> 00:09:20,480 Speaker 1: uh and numerous other instances, the American public became surprisingly divided, 147 00:09:20,760 --> 00:09:24,800 Speaker 1: and people are saying, well, this has become some sort 148 00:09:24,840 --> 00:09:31,000 Speaker 1: of liberal or conservative cause and started. I guess, I 149 00:09:31,400 --> 00:09:37,080 Speaker 1: don't know. It's strange how quickly things can divide a public, right, Yes, 150 00:09:37,160 --> 00:09:40,360 Speaker 1: and and both of those are very specific cases with 151 00:09:40,480 --> 00:09:43,240 Speaker 1: things that you can analyze, and a lot of time 152 00:09:43,320 --> 00:09:46,080 Speaker 1: that seems that those two cases in particular, or at 153 00:09:46,160 --> 00:09:48,800 Speaker 1: least recently, have been used to try and paint a 154 00:09:48,840 --> 00:09:52,880 Speaker 1: picture of this overall of a larger Yeah, of a 155 00:09:53,000 --> 00:09:56,599 Speaker 1: larger thing. And and of course, Matt, you and I 156 00:09:56,679 --> 00:10:01,439 Speaker 1: are not lawyers. Well, Noel does lot of stuff. No, 157 00:10:01,440 --> 00:10:06,040 Speaker 1: no one might do some law. I'm not sure. Maybe he. 158 00:10:06,040 --> 00:10:08,120 Speaker 1: He strikes me as someone who could definitely hold that 159 00:10:08,200 --> 00:10:10,160 Speaker 1: hold it down in the courtroom. So no does just 160 00:10:10,280 --> 00:10:13,280 Speaker 1: a touch of law. Between us, we are like point 161 00:10:13,960 --> 00:10:17,680 Speaker 1: three lawyer. But the reason we're saying that is that 162 00:10:18,320 --> 00:10:23,160 Speaker 1: we're not here to um, We're not here to for 163 00:10:23,440 --> 00:10:26,920 Speaker 1: try to force our own opinion on people and I 164 00:10:26,960 --> 00:10:29,120 Speaker 1: hope that we can both do a good job on 165 00:10:29,559 --> 00:10:31,400 Speaker 1: preaching to myself here. I hope we both do a 166 00:10:31,400 --> 00:10:34,839 Speaker 1: good job of separating our opinion from our facts. And 167 00:10:34,920 --> 00:10:38,400 Speaker 1: speaking of facts, let's look at some more. Another thing 168 00:10:38,440 --> 00:10:42,120 Speaker 1: we can look at is the likelihood of imprisonment for males. 169 00:10:42,600 --> 00:10:45,520 Speaker 1: And this is again from the sentence the Sentencing Project 170 00:10:45,559 --> 00:10:51,160 Speaker 1: dot org. One in seventeen, uh identify as white. So 171 00:10:51,280 --> 00:10:52,960 Speaker 1: if you are if you identify as white, you have 172 00:10:53,000 --> 00:10:56,400 Speaker 1: a one in seventeen chance of being in prison. If 173 00:10:56,480 --> 00:10:59,240 Speaker 1: you identify as black, you have a one in three 174 00:10:59,640 --> 00:11:04,200 Speaker 1: chance of going to prison at some point in your life. Uh. 175 00:11:04,240 --> 00:11:09,120 Speaker 1: And also one in nine four men overall, So if 176 00:11:09,120 --> 00:11:12,439 Speaker 1: you're a man, you have more than a ten percent 177 00:11:12,600 --> 00:11:15,920 Speaker 1: chance of being in jail at some point. Yeah. That's 178 00:11:16,000 --> 00:11:19,880 Speaker 1: that's pretty that's pretty frightening. And that's throughout the United States. 179 00:11:19,920 --> 00:11:24,199 Speaker 1: That's an average that takes in everybody from the top 180 00:11:24,360 --> 00:11:28,439 Speaker 1: one percent of income to you know, the bottom and below. 181 00:11:28,760 --> 00:11:31,600 Speaker 1: It makes me, I was going to say, a person, 182 00:11:31,640 --> 00:11:35,240 Speaker 1: but it makes me I want to follow every rule 183 00:11:35,480 --> 00:11:39,280 Speaker 1: as closely as I possibly can to avoid that. Yeah, 184 00:11:39,320 --> 00:11:44,440 Speaker 1: there's another thing here. We'll we'll talk about the police shootings. 185 00:11:44,520 --> 00:11:50,120 Speaker 1: So despite being thirteen point six percent of the population, uh, 186 00:11:50,600 --> 00:11:54,840 Speaker 1: African Americans people identify as African Americans comprise about twenty 187 00:11:54,960 --> 00:11:58,959 Speaker 1: six percent of reported police shootings, and they are not 188 00:11:59,080 --> 00:12:03,440 Speaker 1: the most likely group to die in the course of 189 00:12:03,480 --> 00:12:06,200 Speaker 1: like a police arrest or detainment. Now, this was a 190 00:12:06,320 --> 00:12:11,240 Speaker 1: very surprising statistic that you found been the most likely 191 00:12:11,600 --> 00:12:13,800 Speaker 1: part of the population in the US to be killed 192 00:12:13,800 --> 00:12:19,679 Speaker 1: by police, our Native Americans. Right, yeah, the uh that's 193 00:12:20,000 --> 00:12:23,320 Speaker 1: point eight percent of the population, but one point nine 194 00:12:23,320 --> 00:12:26,959 Speaker 1: percent of the police killings. And these are based on 195 00:12:28,000 --> 00:12:33,200 Speaker 1: not the best numbers, no, but it's you know, a 196 00:12:33,240 --> 00:12:37,199 Speaker 1: lot of these numbers actually aren't based on the best 197 00:12:37,200 --> 00:12:41,520 Speaker 1: information out there because we don't have that information. We 198 00:12:41,720 --> 00:12:44,400 Speaker 1: you know, John Oliver talked about this. We've we've heard 199 00:12:44,440 --> 00:12:50,479 Speaker 1: this before. The tracking of of killings by law enforcement 200 00:12:51,000 --> 00:12:54,600 Speaker 1: is not up to snuff currently, at least from a 201 00:12:54,640 --> 00:12:59,520 Speaker 1: federal level. Right. Yeah, we found that federal databases that 202 00:12:59,600 --> 00:13:02,439 Speaker 1: do rack use of force or rest related deaths by 203 00:13:02,480 --> 00:13:07,280 Speaker 1: police are painting a partial picture. You know, you'll have 204 00:13:07,679 --> 00:13:13,360 Speaker 1: the FBI has a justifiable homicide list, right, and the 205 00:13:13,400 --> 00:13:17,160 Speaker 1: Department of Justice has a couple of different databases that 206 00:13:17,200 --> 00:13:22,120 Speaker 1: they maintain police departments individual police departments, and again these 207 00:13:22,120 --> 00:13:25,920 Speaker 1: can all be very very different, um within the state, 208 00:13:26,520 --> 00:13:29,320 Speaker 1: you know, not even considering what one state's kind of 209 00:13:29,360 --> 00:13:31,960 Speaker 1: police department approach would be to another one. In terms 210 00:13:31,960 --> 00:13:35,880 Speaker 1: of record keeping of the seventeen thousand, roughly police departments 211 00:13:35,920 --> 00:13:40,320 Speaker 1: across the United States, UM, many don't report or haven't 212 00:13:40,360 --> 00:13:44,559 Speaker 1: filed reports for these things, or have filed them in consistently. 213 00:13:45,040 --> 00:13:48,080 Speaker 1: And it kind of goes back to the question, you know, 214 00:13:48,600 --> 00:13:52,640 Speaker 1: is this a is this some sort of purposeful effort 215 00:13:52,720 --> 00:13:57,080 Speaker 1: or is this something like another mountain of paperwork and 216 00:13:57,559 --> 00:14:00,160 Speaker 1: people have to actually go fight crime. You know, you 217 00:14:00,240 --> 00:14:04,720 Speaker 1: and I are no no strangers to just piles of 218 00:14:04,760 --> 00:14:07,280 Speaker 1: work that you have to get to, and I can 219 00:14:07,320 --> 00:14:09,960 Speaker 1: only imagine what that must be like. You know, you 220 00:14:10,000 --> 00:14:12,960 Speaker 1: need to track everything that happens within your police department 221 00:14:12,960 --> 00:14:15,360 Speaker 1: at all times. Every single police officer that's out on 222 00:14:15,400 --> 00:14:17,680 Speaker 1: the street has to make records of what they did 223 00:14:17,679 --> 00:14:20,960 Speaker 1: that day, and I can only imagine just what that 224 00:14:21,040 --> 00:14:24,680 Speaker 1: must be like to tackle, at least from a managerial perspective. So, 225 00:14:24,840 --> 00:14:29,400 Speaker 1: if the question is uh, is the black mail part 226 00:14:29,560 --> 00:14:34,840 Speaker 1: of the US population more likely to go to jail 227 00:14:35,000 --> 00:14:39,600 Speaker 1: to be to be killed in the course of an 228 00:14:39,720 --> 00:14:43,440 Speaker 1: arrest or to have a harsher sentence than someone else 229 00:14:43,960 --> 00:14:47,080 Speaker 1: than than The answer is yes, there is clear racial 230 00:14:47,160 --> 00:14:51,440 Speaker 1: disparity in various factors of law enforcement. And this is 231 00:14:51,480 --> 00:14:55,160 Speaker 1: not a controversial thing to say, and it's not a 232 00:14:55,200 --> 00:14:59,720 Speaker 1: new thing at all. No, and it's noticeable today. Um 233 00:14:59,720 --> 00:15:03,280 Speaker 1: in New York, San Diego, Las Vegas, the percentage of 234 00:15:03,320 --> 00:15:06,680 Speaker 1: black people killed by police was at least double that 235 00:15:06,960 --> 00:15:10,080 Speaker 1: of their share of the city's total population. That's a 236 00:15:10,120 --> 00:15:12,880 Speaker 1: study by a group called color Lines, And we'll talk 237 00:15:12,960 --> 00:15:15,760 Speaker 1: more about that after a quick word from our sponsor. 238 00:15:16,680 --> 00:15:18,720 Speaker 1: Deep in the back of your mind, you've always had 239 00:15:18,720 --> 00:15:21,880 Speaker 1: the feeling that there's something strange about reality. There is 240 00:15:22,360 --> 00:15:26,840 Speaker 1: hire any death, must nanopartic, mechanical messiahist, conch evolution. On 241 00:15:26,840 --> 00:15:29,240 Speaker 1: our award winning science podcast Stuff About Your Mind, we 242 00:15:29,280 --> 00:15:33,440 Speaker 1: examine neurological quandaries, cosmic mysteries, evolutionary marvels, and our trans 243 00:15:33,560 --> 00:15:36,920 Speaker 1: human future. New episodes come out Tuesdays and Thursdays on iTunes, 244 00:15:37,000 --> 00:15:46,440 Speaker 1: Google Play, Spotify, and anywhere you get your podcast. But 245 00:15:46,480 --> 00:15:49,120 Speaker 1: there's a silver lining here, if you want to call it. That. 246 00:15:50,080 --> 00:15:54,360 Speaker 1: The number of police killings or violence by police officers 247 00:15:54,400 --> 00:15:57,880 Speaker 1: has dramatically decreased since nineteen sixty. According to the Center 248 00:15:58,080 --> 00:16:03,080 Speaker 1: on Juvenile and Criminal Justice, the the police killings of 249 00:16:03,120 --> 00:16:08,160 Speaker 1: African Americans over the age of has decreased by since then. 250 00:16:08,800 --> 00:16:12,760 Speaker 1: And there's this is such a such an interesting and 251 00:16:12,880 --> 00:16:15,640 Speaker 1: kind of disturbing thing. I I do agree that it 252 00:16:15,800 --> 00:16:19,480 Speaker 1: is what what was your phrase of silver lining, but 253 00:16:20,000 --> 00:16:25,800 Speaker 1: it hasn't dropped to zero, Yeah, and and absolutely is 254 00:16:25,840 --> 00:16:31,640 Speaker 1: not enough. However, it's when you take into context the 255 00:16:31,680 --> 00:16:35,920 Speaker 1: way this stuff is reported on sometimes that number to 256 00:16:35,960 --> 00:16:38,960 Speaker 1: me was at least a bit I don't I don't know. 257 00:16:39,360 --> 00:16:42,400 Speaker 1: Um made it feel a little less like there's a 258 00:16:42,480 --> 00:16:45,320 Speaker 1: dark cloud and it was kind of moving away, slightly 259 00:16:45,560 --> 00:16:50,920 Speaker 1: well going. And also considering that this number accounts for 260 00:16:51,160 --> 00:16:54,160 Speaker 1: the sixties, you know, in the civil rights movement, Uh, 261 00:16:54,200 --> 00:16:59,000 Speaker 1: there was probably also a spike violence. Um, so that 262 00:16:59,080 --> 00:17:01,360 Speaker 1: might be that might be part of it. Uh. You know, 263 00:17:01,400 --> 00:17:06,120 Speaker 1: earlier we said that someone identifying as African American as 264 00:17:06,200 --> 00:17:09,240 Speaker 1: a one one in three chance of going to jail 265 00:17:09,760 --> 00:17:14,120 Speaker 1: for something at some point in in his life. That 266 00:17:15,119 --> 00:17:17,560 Speaker 1: to make it a little more immediate, a black male 267 00:17:17,680 --> 00:17:22,520 Speaker 1: born in in this country has a chance of going 268 00:17:22,520 --> 00:17:26,480 Speaker 1: to prison at some point. That's compared to uh sixteen 269 00:17:26,880 --> 00:17:32,679 Speaker 1: percent for Latino or self identifying and for white males 270 00:17:33,359 --> 00:17:40,400 Speaker 1: four per cent. So there's a clear, clear disparity here. 271 00:17:40,600 --> 00:17:45,160 Speaker 1: And you know, when we first started looking at this UM, 272 00:17:45,200 --> 00:17:48,480 Speaker 1: you know, we we were concerned because we didn't want 273 00:17:48,480 --> 00:17:52,879 Speaker 1: to be out there vilifying an entire organization or even 274 00:17:53,119 --> 00:17:58,200 Speaker 1: uh lionizing leonizing um a group of people like people 275 00:17:58,240 --> 00:18:03,040 Speaker 1: commit crimes and people and be corrupt because they're people, right. 276 00:18:03,160 --> 00:18:08,400 Speaker 1: And we'll talk some more about the state of police 277 00:18:09,040 --> 00:18:12,240 Speaker 1: and the government and the people that the police in 278 00:18:12,280 --> 00:18:14,840 Speaker 1: the government are supposed to be working with, and four 279 00:18:15,359 --> 00:18:19,360 Speaker 1: which has also changed. We talked about this in SWAT teams. 280 00:18:19,400 --> 00:18:22,320 Speaker 1: But first, for anyone who has not heard this yet, 281 00:18:23,160 --> 00:18:25,280 Speaker 1: if you're listening to our show, then we assume you 282 00:18:25,359 --> 00:18:27,639 Speaker 1: already kind of knew about this. But let's have a 283 00:18:27,680 --> 00:18:32,160 Speaker 1: word about incarceration in the United States. Okay. Well, as 284 00:18:32,200 --> 00:18:35,040 Speaker 1: many of you know, the United States of America is 285 00:18:35,080 --> 00:18:39,680 Speaker 1: a world leader when it comes to incarceration. We've even 286 00:18:39,800 --> 00:18:43,600 Speaker 1: branched out to you know, putting four nationals in jail 287 00:18:43,640 --> 00:18:48,800 Speaker 1: as well. Sure, yeah, um, black sites across the planet. Chicago, 288 00:18:48,880 --> 00:18:52,800 Speaker 1: anybody the Chicago, UM, which I think was I think 289 00:18:52,800 --> 00:18:57,880 Speaker 1: that was a dark site for local protesters. Maybe maybe 290 00:18:57,960 --> 00:19:02,960 Speaker 1: who knows. Guantanamo, of course, And I believe that the 291 00:19:03,200 --> 00:19:09,399 Speaker 1: private the private prison company c c P is UH 292 00:19:09,760 --> 00:19:15,440 Speaker 1: is looking to branch out into creating immigration holding centers. Yeah, 293 00:19:15,480 --> 00:19:18,439 Speaker 1: they wanna expand. Oh man, I was gonna come with 294 00:19:18,560 --> 00:19:21,040 Speaker 1: some euphemism for business, but I'm not even gonna go there. 295 00:19:21,760 --> 00:19:25,720 Speaker 1: Um that CCP If any of you don't know, CCP 296 00:19:26,560 --> 00:19:29,160 Speaker 1: UH is one of the topics that we've covered before 297 00:19:29,160 --> 00:19:30,919 Speaker 1: in the past, and I highly recommend you check out 298 00:19:31,000 --> 00:19:34,720 Speaker 1: some of our videos on I forget exactly what the 299 00:19:34,720 --> 00:19:37,159 Speaker 1: titles are, but there's some of our classic videos on 300 00:19:37,240 --> 00:19:44,360 Speaker 1: incarceration and UH privatization of prisons. That's exactly what it's 301 00:19:44,359 --> 00:19:48,600 Speaker 1: privatization of prisons. So we we know that it's it's 302 00:19:48,600 --> 00:19:51,240 Speaker 1: weird because we're looking at this and I don't want 303 00:19:51,240 --> 00:19:54,080 Speaker 1: to make light of this, but for a long time, 304 00:19:54,520 --> 00:19:58,200 Speaker 1: everybody has said that, well, the United States is the 305 00:19:58,320 --> 00:20:02,919 Speaker 1: number one country when it comes to imprisoning people in 306 00:20:03,000 --> 00:20:07,439 Speaker 1: front of UH. It beats China, it beats the former 307 00:20:07,520 --> 00:20:11,520 Speaker 1: Soviet States, it beats on I don't know what's another 308 00:20:11,560 --> 00:20:14,040 Speaker 1: country that people say has a lot of prisoners. Well, 309 00:20:14,040 --> 00:20:16,800 Speaker 1: we just talked about North Korea. It beats North Korea. 310 00:20:17,080 --> 00:20:20,600 Speaker 1: I think, um and it and you know, maybe that's 311 00:20:20,640 --> 00:20:26,400 Speaker 1: just because it has more people to incarceerate. But we're 312 00:20:26,480 --> 00:20:29,199 Speaker 1: actually number two depending on the way you measure it, 313 00:20:30,080 --> 00:20:33,720 Speaker 1: which I I don't subscribe to, but technically, yes, number 314 00:20:33,760 --> 00:20:38,000 Speaker 1: one is h l um. The the strange thing about 315 00:20:38,040 --> 00:20:41,320 Speaker 1: that is that it's such a small places, such a 316 00:20:41,400 --> 00:20:43,920 Speaker 1: it's an island country. It's such a small place that um, 317 00:20:44,200 --> 00:20:47,360 Speaker 1: I don't know if it's a fair comparison. But according 318 00:20:47,400 --> 00:20:50,800 Speaker 1: to the INN double A c P from to two 319 00:20:50,840 --> 00:20:54,000 Speaker 1: thousand and eight, the number of people incarcerated in America 320 00:20:54,119 --> 00:21:00,280 Speaker 1: quadrupled just just from just from a few years, from 321 00:21:00,359 --> 00:21:04,280 Speaker 1: roughly five hundred thousand to two point three million people 322 00:21:04,359 --> 00:21:10,640 Speaker 1: behind bars, which makes us well, okay, here's the biggest 323 00:21:10,640 --> 00:21:13,280 Speaker 1: fact that stands out to me. The United States and 324 00:21:13,320 --> 00:21:18,160 Speaker 1: its territories make up five of the world's population. However, 325 00:21:19,240 --> 00:21:25,400 Speaker 1: we have of the world's inmates right, and this means 326 00:21:25,440 --> 00:21:28,480 Speaker 1: that combining the number of people in prison or jail 327 00:21:28,680 --> 00:21:33,440 Speaker 1: currently with the people who are under parole or probationary 328 00:21:33,480 --> 00:21:37,240 Speaker 1: supervision gives us number one in every thirty one adults. 329 00:21:37,280 --> 00:21:40,800 Speaker 1: That's three point two percent of the population under some 330 00:21:40,920 --> 00:21:43,919 Speaker 1: form of I think the phrase that's often used as 331 00:21:43,960 --> 00:21:47,600 Speaker 1: correctional control. Yes, that sounds kind of euphemisic everything from 332 00:21:47,640 --> 00:21:51,359 Speaker 1: the ankle bracelets up to federal penitential. And of the 333 00:21:51,520 --> 00:21:56,800 Speaker 1: two point three million incarcerated people in this country, to 334 00:21:56,880 --> 00:22:00,240 Speaker 1: bring it back around, how many would you guess are 335 00:22:00,480 --> 00:22:06,360 Speaker 1: African American? Well, here is the tough truth. African Americans 336 00:22:06,520 --> 00:22:10,240 Speaker 1: right now constitute nearly one million of the total two 337 00:22:10,240 --> 00:22:14,160 Speaker 1: point three million incarcerated of the in the population. So 338 00:22:14,280 --> 00:22:18,359 Speaker 1: that's an incarceration rate nearly six times the rate of 339 00:22:19,200 --> 00:22:25,800 Speaker 1: white citizens. And even though African Americans and people identifying 340 00:22:25,840 --> 00:22:28,919 Speaker 1: as Hispanic or Latino make up about one quarter of 341 00:22:28,920 --> 00:22:32,320 Speaker 1: the US population, they comprise fifty eight percent of all 342 00:22:32,359 --> 00:22:37,080 Speaker 1: prisoners at least in two thousand eight. So if if 343 00:22:37,280 --> 00:22:42,040 Speaker 1: this group, if if we went by these like ethnic lines, right, um, 344 00:22:42,160 --> 00:22:46,720 Speaker 1: then or this these categories, then uh, if everybody was 345 00:22:46,840 --> 00:22:51,440 Speaker 1: treated the way that uh the current correctional system treats 346 00:22:52,040 --> 00:22:57,480 Speaker 1: white citizens, then the incarceration rate and the prison jail 347 00:22:57,520 --> 00:23:03,199 Speaker 1: populations would decline by approximately fifty for sent It's it's strange. 348 00:23:03,280 --> 00:23:07,840 Speaker 1: It's clearly, it's clearly there, and it's it's tragic that 349 00:23:07,920 --> 00:23:12,760 Speaker 1: this often gets boiled down in the media into some 350 00:23:12,840 --> 00:23:16,359 Speaker 1: sort of um dare I say it's some sort of 351 00:23:16,440 --> 00:23:20,679 Speaker 1: them or US idea? When when we did our video 352 00:23:21,000 --> 00:23:24,119 Speaker 1: on this earlier this week, um, one of the things 353 00:23:24,200 --> 00:23:28,240 Speaker 1: that that really stuck with me was this idea that 354 00:23:29,440 --> 00:23:32,960 Speaker 1: how the government or the police, because really, when we're 355 00:23:32,960 --> 00:23:35,959 Speaker 1: talking about the police, what we're ultimately talking about is 356 00:23:36,280 --> 00:23:41,240 Speaker 1: the government that right, some level of governance that is 357 00:23:41,280 --> 00:23:46,760 Speaker 1: supposed to be for the people of the country, right. Um. 358 00:23:46,800 --> 00:23:49,320 Speaker 1: But when when we were doing that video, one thing 359 00:23:49,320 --> 00:23:53,520 Speaker 1: that that I remember clear as day is uh noting 360 00:23:53,600 --> 00:23:57,840 Speaker 1: that how the government treats any American citizens should be 361 00:23:57,840 --> 00:24:01,080 Speaker 1: the concern of every American citizen and and you know, 362 00:24:01,840 --> 00:24:06,280 Speaker 1: residents as well. Like what we've heard horror stories before 363 00:24:06,600 --> 00:24:10,480 Speaker 1: foreign nationals visiting the States on vacation or to see 364 00:24:10,560 --> 00:24:15,960 Speaker 1: family members and having having a really where family shows 365 00:24:16,000 --> 00:24:18,720 Speaker 1: I'll say messed up time. Well, it makes me think 366 00:24:18,720 --> 00:24:21,720 Speaker 1: of that show Locked Up Abroad, I think is the 367 00:24:21,800 --> 00:24:24,639 Speaker 1: name of it that shows you, oh man and this 368 00:24:24,840 --> 00:24:27,280 Speaker 1: this prison was so terrible in this other country, and 369 00:24:27,320 --> 00:24:31,280 Speaker 1: the experiences of American citizens when they were abroad. Oh yeah, yeah, yeah. 370 00:24:31,280 --> 00:24:32,439 Speaker 1: It makes you feel like we need to have an 371 00:24:32,440 --> 00:24:34,920 Speaker 1: inverted version of that somewhere, and I wonder if there 372 00:24:35,000 --> 00:24:38,359 Speaker 1: is one. There may well be, but uh, you know, 373 00:24:38,440 --> 00:24:40,919 Speaker 1: I'm glad that we don't live in a country that 374 00:24:41,000 --> 00:24:45,240 Speaker 1: has an official death penalty for some of the things, 375 00:24:45,320 --> 00:24:48,520 Speaker 1: where with their there are countries where it's still the 376 00:24:48,600 --> 00:24:52,360 Speaker 1: death penalty if you are a homosexual. Is the death 377 00:24:52,400 --> 00:24:57,359 Speaker 1: penalty if you get caught with um any kind of marijuana? Well, 378 00:24:57,440 --> 00:24:59,639 Speaker 1: that's a different podcast. And one thing that we're running 379 00:24:59,640 --> 00:25:03,600 Speaker 1: into when we look at this this idea is uh 380 00:25:03,760 --> 00:25:06,840 Speaker 1: that we're we're finding strings that connect to other things, 381 00:25:06,880 --> 00:25:10,240 Speaker 1: some of which we've covered, like, uh, the the idea 382 00:25:10,240 --> 00:25:14,320 Speaker 1: of privatized prisons, some of which we haven't. Like is 383 00:25:14,400 --> 00:25:18,320 Speaker 1: there a purposeful churn to the cycle of poverty? Right? 384 00:25:18,359 --> 00:25:21,159 Speaker 1: We looked at income intoequality, that might be a different question. 385 00:25:21,840 --> 00:25:24,240 Speaker 1: So now it's time for us to talk about the 386 00:25:24,240 --> 00:25:30,320 Speaker 1: the arguments or the the allegations of conspiracy here. Um 387 00:25:30,359 --> 00:25:33,800 Speaker 1: Like the media is making out these cases of unarmed 388 00:25:33,800 --> 00:25:37,760 Speaker 1: black men being shot to be more than they are. Uh, 389 00:25:37,800 --> 00:25:40,160 Speaker 1: that's that's one of the arguments and they talk about 390 00:25:40,160 --> 00:25:43,960 Speaker 1: the bias in reporting. Hey, I'm Chuck and I'm Josh 391 00:25:44,000 --> 00:25:45,600 Speaker 1: and we're the host of Stuff. You should know the 392 00:25:45,640 --> 00:25:48,720 Speaker 1: podcast that's right, And if you're into understanding cool and 393 00:25:48,800 --> 00:25:52,080 Speaker 1: unusual and seemingly ordinary and even boring things that are 394 00:25:52,119 --> 00:25:54,920 Speaker 1: made interesting, you should check us out, please and thank you. 395 00:25:55,200 --> 00:26:02,680 Speaker 1: We're on iTunes, Spotify, Google Play Music, anywhere you get podcasts. Okay, 396 00:26:02,720 --> 00:26:05,240 Speaker 1: I can kind of see this situation where the media, 397 00:26:06,440 --> 00:26:09,639 Speaker 1: you know, when a tragedy like this happens, it is 398 00:26:09,840 --> 00:26:13,119 Speaker 1: a story. It is not only a tragedy, is also 399 00:26:13,240 --> 00:26:16,879 Speaker 1: a story, and it is something that can keep a 400 00:26:17,000 --> 00:26:19,440 Speaker 1: twenty four hour news cycle going for a long time 401 00:26:20,040 --> 00:26:22,120 Speaker 1: because there are a lot of different parts. There's the 402 00:26:22,160 --> 00:26:26,000 Speaker 1: initial investigation, there's the trial, uh, there's all the things 403 00:26:26,000 --> 00:26:28,680 Speaker 1: that happened in splinter off. Because of that, I can 404 00:26:28,720 --> 00:26:32,879 Speaker 1: see how maybe in today's world, where there are just 405 00:26:33,760 --> 00:26:39,119 Speaker 1: hundreds of news channels and websites and vlogs and podcasts 406 00:26:39,160 --> 00:26:43,480 Speaker 1: like ours, even that will take something like the Michael 407 00:26:43,480 --> 00:26:46,840 Speaker 1: Brown case and would expand it out into this huge 408 00:26:47,000 --> 00:26:50,560 Speaker 1: thing when really, you know, at the crux of it, 409 00:26:50,560 --> 00:26:53,160 Speaker 1: it was a man that got shot by a law 410 00:26:53,280 --> 00:26:59,240 Speaker 1: enforcement officer, in the case of Michael Brown specifically, this 411 00:26:59,440 --> 00:27:03,720 Speaker 1: is this is the young man who was who was 412 00:27:03,800 --> 00:27:08,480 Speaker 1: shot by an officer named Darren Wilson in Ferguson suburb 413 00:27:08,600 --> 00:27:15,399 Speaker 1: in Missouri around August fourteen. And one thing that we 414 00:27:15,480 --> 00:27:19,720 Speaker 1: found is, you know, Ferguson became the site of protests, 415 00:27:20,240 --> 00:27:24,800 Speaker 1: and the US government came down pretty hard to the 416 00:27:24,840 --> 00:27:29,000 Speaker 1: point where the airspace was controlled. There were there were 417 00:27:29,000 --> 00:27:31,240 Speaker 1: there were all kinds of rumors flying back and forth 418 00:27:31,280 --> 00:27:34,280 Speaker 1: about what the police may or may not be doing. 419 00:27:34,680 --> 00:27:40,080 Speaker 1: And we really saw the potential for how much power 420 00:27:40,680 --> 00:27:43,560 Speaker 1: government can bring to bear on the people if it 421 00:27:43,760 --> 00:27:48,719 Speaker 1: wishes yes. And we also saw, you know, the reaction 422 00:27:49,680 --> 00:27:54,120 Speaker 1: of h a whole group of people there that were 423 00:27:54,119 --> 00:27:58,280 Speaker 1: protesting because they saw something that they thought was a 424 00:27:58,320 --> 00:28:02,159 Speaker 1: pattern that actually seems to be a pattern. Did you 425 00:28:02,400 --> 00:28:04,320 Speaker 1: see some of the leaks that were not leaks, but 426 00:28:04,400 --> 00:28:09,040 Speaker 1: some of the information coming out about the Ferguson Police Department, Uh? Yeah, yeah. 427 00:28:09,080 --> 00:28:15,520 Speaker 1: They Ferguson is, at least from this perspective for what 428 00:28:15,560 --> 00:28:18,960 Speaker 1: we're talking about, a bad place to be right. Uh. 429 00:28:19,560 --> 00:28:22,399 Speaker 1: I think there were pretty good statistics that indicated even 430 00:28:22,680 --> 00:28:27,680 Speaker 1: in areas where where a black person would be by 431 00:28:27,760 --> 00:28:30,560 Speaker 1: far the minority in this situation. They were also by 432 00:28:30,600 --> 00:28:34,480 Speaker 1: far more likely to be pulled over, to be detained, 433 00:28:34,640 --> 00:28:38,120 Speaker 1: to have the threat of use of force. Right. Uh. 434 00:28:38,120 --> 00:28:43,080 Speaker 1: And there was one statistic where the the findings indicated 435 00:28:43,160 --> 00:28:46,600 Speaker 1: that white members of the community were more likely to 436 00:28:46,640 --> 00:28:49,800 Speaker 1: be driving with guns or something, driving with unlicensed guns 437 00:28:49,920 --> 00:28:53,200 Speaker 1: or something, and carrying drugs and carrying drugs. So yeah, 438 00:28:53,240 --> 00:28:56,160 Speaker 1: that's the one and far less likely to be pulled over. 439 00:28:56,280 --> 00:28:59,800 Speaker 1: This is this is something that leads people on the 440 00:28:59,840 --> 00:29:02,080 Speaker 1: other their side to say, on the other side of 441 00:29:02,080 --> 00:29:06,320 Speaker 1: the argument, to say, the government is actively working to 442 00:29:06,520 --> 00:29:16,640 Speaker 1: suppress Black America, especially males. And unfortunately this has historically 443 00:29:16,680 --> 00:29:21,200 Speaker 1: at least been the case slavery Jim Crow laws right, 444 00:29:21,560 --> 00:29:26,120 Speaker 1: arguably the prison system today, the especially with the use 445 00:29:26,320 --> 00:29:30,000 Speaker 1: of contracted out labor. Right. Yeah. Well, I mean I 446 00:29:30,080 --> 00:29:35,080 Speaker 1: hate to say it, but voting rights restrictions. Voting rights restrictions. Yeah, 447 00:29:35,120 --> 00:29:38,760 Speaker 1: you cannot vote if you were a felon. So what 448 00:29:38,760 --> 00:29:41,520 Speaker 1: what this leads us to is um and you know, 449 00:29:41,560 --> 00:29:44,280 Speaker 1: again we'll say police are people too. They're often constrained 450 00:29:44,280 --> 00:29:46,840 Speaker 1: by top down rules. And one of the arguments that 451 00:29:46,880 --> 00:29:49,240 Speaker 1: you will hear in in favor or maybe as a 452 00:29:49,280 --> 00:29:53,120 Speaker 1: mitigating factor for police is that they're frequently put in 453 00:29:53,280 --> 00:29:56,720 Speaker 1: fight or flight situations. Uh. These are life and death 454 00:29:56,720 --> 00:30:00,680 Speaker 1: things where seconds really can make the difference. Um. With 455 00:30:00,680 --> 00:30:03,880 Speaker 1: with that being said, uh, there's there's a question here 456 00:30:03,880 --> 00:30:09,600 Speaker 1: that ties into militarization of police. Are the current training tactics, Uh, 457 00:30:09,680 --> 00:30:13,960 Speaker 1: the hardware and the vehicles that are being increasingly distributed 458 00:30:14,240 --> 00:30:19,280 Speaker 1: to domestic law enforcement places, are they teaching these professionals? 459 00:30:19,560 --> 00:30:24,640 Speaker 1: Are training these professionals rather to see every citizen as 460 00:30:24,640 --> 00:30:29,320 Speaker 1: a potential threat and lethal force. A lot of the 461 00:30:29,360 --> 00:30:32,960 Speaker 1: weaponry and systems that are being provided for these police 462 00:30:32,960 --> 00:30:36,920 Speaker 1: departments are based upon lethal force unless you look at 463 00:30:37,640 --> 00:30:41,160 Speaker 1: some of the like the tactical not it's not l 464 00:30:41,280 --> 00:30:43,640 Speaker 1: RED system, but it's the sound I forget with the 465 00:30:43,720 --> 00:30:47,840 Speaker 1: name of it, but it's the the sonic pain thing. Yeah, 466 00:30:47,920 --> 00:30:51,400 Speaker 1: it makes you feel like your skin is on fire. Yeah. 467 00:30:51,640 --> 00:30:54,040 Speaker 1: And there's also the one that just has that really 468 00:30:54,080 --> 00:30:59,520 Speaker 1: piercing loud sound that we saw in ferguson um and 469 00:30:59,560 --> 00:31:03,040 Speaker 1: it just makes you wonder how much more non lethal 470 00:31:03,120 --> 00:31:07,800 Speaker 1: force could be used. However, on the other side, again, 471 00:31:07,920 --> 00:31:11,240 Speaker 1: if you're going in with non lethal force against somebody 472 00:31:11,280 --> 00:31:13,640 Speaker 1: who was, you know, going to attack a police officer 473 00:31:14,120 --> 00:31:17,880 Speaker 1: with lethal force. I mean, what do you do there? Well, 474 00:31:17,920 --> 00:31:21,560 Speaker 1: those uh, those non lethal weapons, you know, they're they're 475 00:31:21,720 --> 00:31:26,360 Speaker 1: non lethal asterix right unless you're you know, ill or 476 00:31:26,440 --> 00:31:30,240 Speaker 1: have a bad heart or yeah, they're definitely still weapons 477 00:31:30,240 --> 00:31:35,000 Speaker 1: and those are for crowd control more than an individual. Um. 478 00:31:35,000 --> 00:31:38,320 Speaker 1: But this this brought up some questions that that we 479 00:31:38,400 --> 00:31:41,360 Speaker 1: had for you out there listening, Um, what what do 480 00:31:41,440 --> 00:31:47,200 Speaker 1: you think about this, this racial discrepancy in in law enforcement, 481 00:31:47,360 --> 00:31:52,000 Speaker 1: in uh sentencing? What what do you think the future 482 00:31:52,640 --> 00:31:57,240 Speaker 1: of the police and race in America is going to be? 483 00:31:57,960 --> 00:32:00,920 Speaker 1: You know, Matt, this makes me think of, um, some 484 00:32:00,920 --> 00:32:04,840 Speaker 1: some interesting stuff because remember we did net neutrality recently, 485 00:32:05,360 --> 00:32:09,800 Speaker 1: and we had so many letters from you guys saying, well, 486 00:32:10,600 --> 00:32:13,920 Speaker 1: net neutrality or this Open Internet Order is just a 487 00:32:13,960 --> 00:32:18,120 Speaker 1: backdoor version of SOAPA, which was what was SOAPA meant. 488 00:32:18,760 --> 00:32:21,840 Speaker 1: SOPA was something that did get passed by the House 489 00:32:21,880 --> 00:32:25,840 Speaker 1: of Representatives a little while ago, at least I think 490 00:32:26,280 --> 00:32:28,400 Speaker 1: I can't remember the sober people the one was passed 491 00:32:28,440 --> 00:32:32,000 Speaker 1: by a House and then shut down by the Senate. Anyway, 492 00:32:32,000 --> 00:32:34,600 Speaker 1: it was it was failed legislation that was going to 493 00:32:34,640 --> 00:32:37,600 Speaker 1: do a lot of things to control the Internet, and 494 00:32:37,640 --> 00:32:43,080 Speaker 1: there it was mostly for corporations to benefit corporations, and 495 00:32:43,080 --> 00:32:45,040 Speaker 1: then also for the government to have control over the 496 00:32:45,080 --> 00:32:47,600 Speaker 1: Internet if they needed if they needed it. So we 497 00:32:47,640 --> 00:32:51,800 Speaker 1: received some letters about about this saying, you know, arguing 498 00:32:51,840 --> 00:32:54,560 Speaker 1: that the Open Internet Order was essentially a trojan horse. 499 00:32:55,000 --> 00:32:58,960 Speaker 1: And then it makes me wonder if we could find 500 00:32:59,000 --> 00:33:04,080 Speaker 1: a future where the where the answer to uh, discrepancy 501 00:33:04,240 --> 00:33:08,480 Speaker 1: or or prejudice in law enforcement would be something like 502 00:33:09,400 --> 00:33:14,360 Speaker 1: robot police, right, robotic police who who have some sort 503 00:33:14,360 --> 00:33:18,640 Speaker 1: of access to your history already and can objectively make 504 00:33:18,680 --> 00:33:21,600 Speaker 1: a decision about, you know, if you're breaking a law, 505 00:33:22,280 --> 00:33:25,600 Speaker 1: or what about what about pre crime? What about using 506 00:33:25,600 --> 00:33:27,920 Speaker 1: big data to predict the future, which is something we're 507 00:33:27,960 --> 00:33:30,680 Speaker 1: gonna be talking about later. I think that's something we're 508 00:33:30,720 --> 00:33:32,480 Speaker 1: going to see you whether we like it or not, 509 00:33:32,840 --> 00:33:37,480 Speaker 1: whether or not it's actually effective, I guess we'll find 510 00:33:37,480 --> 00:33:41,520 Speaker 1: out by the statistics that will be made up. Yeah. 511 00:33:41,560 --> 00:33:45,560 Speaker 1: It reminds me of Isaac Asimov's Foundation series um where 512 00:33:46,280 --> 00:33:50,800 Speaker 1: this guy named Selden invents something he calls psychohistory, and 513 00:33:50,840 --> 00:33:53,000 Speaker 1: the idea is that if you take a large enough 514 00:33:53,040 --> 00:33:57,440 Speaker 1: population size, you can begin to predict the future, and 515 00:33:57,480 --> 00:34:01,280 Speaker 1: it doesn't work for individuals right to the big system 516 00:34:01,360 --> 00:34:05,040 Speaker 1: only works for big systems exactly. And I wonder if 517 00:34:05,080 --> 00:34:08,239 Speaker 1: we could be in that kind of situation, if that 518 00:34:08,320 --> 00:34:12,640 Speaker 1: will be what is presented as a solution to to 519 00:34:12,840 --> 00:34:15,799 Speaker 1: what is a real problem. But with pre crime, Ben 520 00:34:15,920 --> 00:34:19,360 Speaker 1: We've talked about this before. If you arrest someone for 521 00:34:19,480 --> 00:34:22,719 Speaker 1: a crime they were imminently going to commit, there is 522 00:34:22,760 --> 00:34:25,160 Speaker 1: no way to prove that they were actually going to 523 00:34:25,200 --> 00:34:28,200 Speaker 1: commit that crime, even if you have data showing that 524 00:34:28,280 --> 00:34:32,480 Speaker 1: they they most likely or with probability, would have committed 525 00:34:32,520 --> 00:34:36,560 Speaker 1: the crime until there's a legal precedent set. Then after 526 00:34:36,640 --> 00:34:40,040 Speaker 1: that Katie bar the door. Or if there we can 527 00:34:40,080 --> 00:34:44,840 Speaker 1: somehow buffer reality, so there's like a ten minute buffer 528 00:34:45,360 --> 00:34:49,440 Speaker 1: on real time where this system operates ten minutes in 529 00:34:49,480 --> 00:34:53,879 Speaker 1: the future. I'm sorry, I'm just I mean if that 530 00:34:53,960 --> 00:34:57,040 Speaker 1: was if that's possible, then one thing human history has 531 00:34:57,040 --> 00:34:59,440 Speaker 1: shown us is the first thing people will do is 532 00:34:59,520 --> 00:35:02,200 Speaker 1: use it as some kind of snooze button. It won't 533 00:35:02,200 --> 00:35:05,000 Speaker 1: be used effectively. It'll be like an extra ten minutes 534 00:35:05,080 --> 00:35:09,399 Speaker 1: to sleep. I yeah, I'm cool with it too. Um. 535 00:35:09,440 --> 00:35:13,520 Speaker 1: So we've delved into statistics and some facts and some 536 00:35:13,560 --> 00:35:17,440 Speaker 1: statements and some analysis. And one of the most devilishly 537 00:35:17,640 --> 00:35:22,160 Speaker 1: difficult things about this again was that there was so 538 00:35:22,520 --> 00:35:26,319 Speaker 1: little comprehensive data. You know, we've got little pieces of 539 00:35:26,320 --> 00:35:29,279 Speaker 1: the pie, we've got little pieces of the puzzle. But 540 00:35:30,760 --> 00:35:35,120 Speaker 1: if there is some group or institution, you know, maybe 541 00:35:35,120 --> 00:35:37,839 Speaker 1: the n essay, Hi, guys, if you're listening, if if 542 00:35:37,880 --> 00:35:43,360 Speaker 1: they're tracking building a comprehensive database of of these sorts offenses, 543 00:35:43,400 --> 00:35:45,279 Speaker 1: then it's something that needs to be out in the 544 00:35:45,320 --> 00:35:49,399 Speaker 1: public eye. People. People need to know. Yeah, but how 545 00:35:49,440 --> 00:35:51,480 Speaker 1: effective is it if it's in the public eye, Ben, 546 00:35:52,480 --> 00:35:55,520 Speaker 1: I don't know. We should take a road trip to Utah. 547 00:35:55,800 --> 00:35:59,000 Speaker 1: Let's do it. So everyone, we want to hear from you. 548 00:35:59,080 --> 00:36:02,839 Speaker 1: Are you along enforcement officer and have experience with this 549 00:36:02,920 --> 00:36:05,600 Speaker 1: type of stuff, please write to us. We would love 550 00:36:05,600 --> 00:36:09,160 Speaker 1: to get some perspective. Um. Also, if you've had run 551 00:36:09,160 --> 00:36:12,040 Speaker 1: ins with law enforcement and you want to tell us 552 00:36:12,040 --> 00:36:14,920 Speaker 1: about that, please do. We'd love to hear from you. 553 00:36:14,920 --> 00:36:16,960 Speaker 1: You can find us on Facebook, you can find us 554 00:36:17,000 --> 00:36:19,759 Speaker 1: on Twitter where conspiracy stuff on both of those And 555 00:36:19,800 --> 00:36:21,480 Speaker 1: if you don't want to do the social media thing, 556 00:36:21,520 --> 00:36:23,920 Speaker 1: you want to write directly to us, you can reach us. 557 00:36:24,040 --> 00:36:32,799 Speaker 1: We are conspiracy at how stuff works dot com. From 558 00:36:32,800 --> 00:36:37,040 Speaker 1: more on this topic another unexplained phenomenon, visit YouTube dot 559 00:36:37,080 --> 00:36:40,479 Speaker 1: com slash conspiracy stuff. You can also get in touch 560 00:36:40,520 --> 00:37:01,200 Speaker 1: on Twitter at the handle at conspiracy stuff. 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