1 00:00:01,480 --> 00:00:03,720 Speaker 1: For all your food is out there. I'm unwrapping a 2 00:00:03,840 --> 00:00:07,640 Speaker 1: McDonald's steak, egg and cheese bagel. Look at this steak 3 00:00:08,280 --> 00:00:10,440 Speaker 1: and the juice running down the side. Get a little 4 00:00:10,480 --> 00:00:14,240 Speaker 1: bit on a wrapper here, and then the fluffy egg 5 00:00:14,600 --> 00:00:17,600 Speaker 1: and real cheaze folded over the throw looking just so good. 6 00:00:19,239 --> 00:00:22,400 Speaker 1: Grild onions on a butt of bagel. Two thumbs off 7 00:00:22,400 --> 00:00:25,759 Speaker 1: from mcdonald' steak, egg and cheeze bagel for breakfast love 8 00:00:25,840 --> 00:00:31,000 Speaker 1: it want to pop up? I participate in McDonald's. So 9 00:00:31,160 --> 00:00:33,400 Speaker 1: we've talked to a lot of cops over the years 10 00:00:33,440 --> 00:00:36,480 Speaker 1: doing this show, and even at a coped panel once, 11 00:00:37,280 --> 00:00:39,760 Speaker 1: and they all seem to agree. But I forget the number. 12 00:00:39,800 --> 00:00:44,120 Speaker 1: What percentage of cops did these cops tell us shouldn't 13 00:00:44,159 --> 00:00:49,840 Speaker 1: be cops? Cops told us thought it was a quarter, yeah, 14 00:00:49,880 --> 00:00:53,080 Speaker 1: which is extraordinary. And we've gotten that same number from 15 00:00:53,120 --> 00:00:55,840 Speaker 1: quite a few cops. So a bunch of different cops 16 00:00:55,920 --> 00:00:58,120 Speaker 1: have told us about a quarter of a cops shouldn't 17 00:00:58,160 --> 00:01:02,320 Speaker 1: be cops, which is pretty troubling. Right. And John Kelly 18 00:01:02,360 --> 00:01:05,199 Speaker 1: and his team at the USA today have been digging 19 00:01:05,240 --> 00:01:08,160 Speaker 1: from quite some time into police records around the country. 20 00:01:08,319 --> 00:01:11,399 Speaker 1: They found eighty five cops have been investigated from misconduct. 21 00:01:11,840 --> 00:01:15,080 Speaker 1: Uh and and John joins us now to discuss Hello, John, 22 00:01:15,120 --> 00:01:19,399 Speaker 1: how are you, sir? I'm doing great, Good morning guys. Excellent. 23 00:01:19,480 --> 00:01:21,760 Speaker 1: This is this is quite a project. How long did 24 00:01:21,800 --> 00:01:27,440 Speaker 1: it take? We've been We started gathering records almost two 25 00:01:27,520 --> 00:01:30,200 Speaker 1: years ago, um, and and there were some records that 26 00:01:30,240 --> 00:01:34,840 Speaker 1: we had that we're sort of foundational, Uh, records we've 27 00:01:34,840 --> 00:01:36,959 Speaker 1: already had in place. So I mean it's been about 28 00:01:37,000 --> 00:01:42,000 Speaker 1: two years, right, So good cops are a blessing to society, 29 00:01:42,000 --> 00:01:45,120 Speaker 1: and thank God for them. Uh, bad cops and good 30 00:01:45,160 --> 00:01:47,680 Speaker 1: cops will tell you this need to go. And I 31 00:01:47,720 --> 00:01:51,080 Speaker 1: think we're all aware that there are you know, episodes 32 00:01:51,120 --> 00:01:54,000 Speaker 1: of police excessive force and that sort of thing. That 33 00:01:54,120 --> 00:01:57,960 Speaker 1: the aspect of this that really interests us mostly is 34 00:01:58,280 --> 00:02:00,600 Speaker 1: you know, what percentage of cops are bad cops? And 35 00:02:00,600 --> 00:02:02,760 Speaker 1: and how easy is it for the public to find 36 00:02:02,760 --> 00:02:07,400 Speaker 1: out about it? Well, so it's really difficult, um in 37 00:02:07,440 --> 00:02:09,520 Speaker 1: a lot of places, even even though a lot of 38 00:02:09,520 --> 00:02:15,440 Speaker 1: the records underlying the conduct of police officers would technically 39 00:02:15,480 --> 00:02:22,400 Speaker 1: be public records. And yeah, and and but there are 40 00:02:22,480 --> 00:02:25,720 Speaker 1: roadblocks to getting them. You know, a typical you know, 41 00:02:25,840 --> 00:02:28,920 Speaker 1: resident going down to the police station asking for this 42 00:02:29,040 --> 00:02:34,160 Speaker 1: kind of thing is likely to encounter police agencies that 43 00:02:34,560 --> 00:02:38,920 Speaker 1: would maybe not be forthcoming about whether the records exist, 44 00:02:39,360 --> 00:02:42,560 Speaker 1: or run into a little bit of runaround, or be 45 00:02:42,720 --> 00:02:46,959 Speaker 1: charged you know, dollar a page, fees to see the records, 46 00:02:47,400 --> 00:02:50,200 Speaker 1: none of that experience with this on a large scale. 47 00:02:50,360 --> 00:02:53,320 Speaker 1: And so we can in our in our team of 48 00:02:53,400 --> 00:02:57,200 Speaker 1: journalists you know, includes you know, people who are experts 49 00:02:57,240 --> 00:03:00,240 Speaker 1: in those public records laws, and so we can work 50 00:03:00,280 --> 00:03:04,240 Speaker 1: around that by being very direct with these agencies. You know, listen, 51 00:03:04,280 --> 00:03:07,640 Speaker 1: you have to turn these records over under the law anyway. 52 00:03:07,680 --> 00:03:11,280 Speaker 1: So we've been gathering those slowly and then and then 53 00:03:11,360 --> 00:03:14,680 Speaker 1: in effect transforming them into data that allows us to 54 00:03:14,720 --> 00:03:19,079 Speaker 1: do a lot of comparison and analysis. Um that gets 55 00:03:19,080 --> 00:03:21,320 Speaker 1: to some of the questions you were asking about percentages. 56 00:03:22,520 --> 00:03:26,880 Speaker 1: Most notable numbers are results in your mind, John, So, 57 00:03:27,040 --> 00:03:29,880 Speaker 1: I mean so far one of the more noticeable things 58 00:03:29,880 --> 00:03:32,360 Speaker 1: to me, I mean, when I knew I knew that 59 00:03:32,520 --> 00:03:38,200 Speaker 1: states de certified cops. You know that that that that 60 00:03:38,440 --> 00:03:40,840 Speaker 1: that in really extreme cases, you know, a local police 61 00:03:40,840 --> 00:03:45,720 Speaker 1: department will tell us state, hey, this guy's misconduct is 62 00:03:45,760 --> 00:03:49,600 Speaker 1: so bad that or or the cops been convicted of 63 00:03:49,600 --> 00:03:51,560 Speaker 1: a crime that you know, we want to make sure 64 00:03:51,640 --> 00:03:55,440 Speaker 1: he can't be a cop somewhere else he or se um. 65 00:03:55,520 --> 00:03:58,200 Speaker 1: I expected when we started gathering those from the states, 66 00:03:58,240 --> 00:04:01,600 Speaker 1: I guess maybe a little bit. I expected that the 67 00:04:01,720 --> 00:04:05,600 Speaker 1: number of those could be, you know, ten thousand um. 68 00:04:05,680 --> 00:04:08,560 Speaker 1: The idea that that there are more than thirty thousand 69 00:04:08,600 --> 00:04:13,280 Speaker 1: and substantially more was surprising to me. People who a 70 00:04:13,400 --> 00:04:17,880 Speaker 1: state government have had to take the extreme action of 71 00:04:17,960 --> 00:04:22,920 Speaker 1: saying this person's misconduct is so serious that we can't 72 00:04:23,080 --> 00:04:25,800 Speaker 1: we in good conscience can't allow them to continue being 73 00:04:25,839 --> 00:04:27,920 Speaker 1: a law enforcement officer, and we want to make sure 74 00:04:28,040 --> 00:04:31,000 Speaker 1: that they're not one. Yeah, that that's interesting that that 75 00:04:30,800 --> 00:04:33,560 Speaker 1: that many people were able to pass you know, the 76 00:04:33,600 --> 00:04:36,200 Speaker 1: tests and the psychologist psychological tests and all that stuff 77 00:04:36,200 --> 00:04:38,640 Speaker 1: and become cops and then did something so bad that 78 00:04:38,640 --> 00:04:41,080 Speaker 1: they get banned. But then how many people don't get 79 00:04:41,120 --> 00:04:42,919 Speaker 1: banned at that level, They get booted out of their 80 00:04:42,960 --> 00:04:45,400 Speaker 1: own department, but then get to go to some other 81 00:04:45,440 --> 00:04:48,720 Speaker 1: department and work there, right, And that's one of the 82 00:04:48,839 --> 00:04:51,599 Speaker 1: surprising things for us. So, so there are a couple 83 00:04:51,640 --> 00:04:54,040 Speaker 1: of big holes in that system, and you guys are 84 00:04:54,040 --> 00:04:56,600 Speaker 1: getting in on a you know some early info from 85 00:04:56,600 --> 00:05:02,280 Speaker 1: a coming UH story in our investigation. But in California, 86 00:05:02,320 --> 00:05:04,680 Speaker 1: for instance, which has more police officers than anyone, they 87 00:05:04,720 --> 00:05:09,040 Speaker 1: don't don't have a process for de certifying police officers. UH. 88 00:05:09,120 --> 00:05:11,839 Speaker 1: Several other states also don't have a process. New York, 89 00:05:11,920 --> 00:05:14,799 Speaker 1: which obviously has a lot of police officers, just started 90 00:05:14,880 --> 00:05:17,800 Speaker 1: doing this, and so you have these states with huge 91 00:05:17,880 --> 00:05:21,839 Speaker 1: populations of police officers who don't even have a process 92 00:05:21,839 --> 00:05:24,320 Speaker 1: for for doing this, and so it's very easy then 93 00:05:24,400 --> 00:05:27,000 Speaker 1: for officers to move around. But even in the places 94 00:05:27,000 --> 00:05:30,080 Speaker 1: where they're decertified. To give you an idea, you know, 95 00:05:30,120 --> 00:05:34,720 Speaker 1: we wrote about this police chief who was got in 96 00:05:34,760 --> 00:05:37,720 Speaker 1: trouble in Kansas City for basically chasing a guy off 97 00:05:37,720 --> 00:05:39,720 Speaker 1: the highway and yanking him out of his car at 98 00:05:39,720 --> 00:05:43,840 Speaker 1: gunpoint while he was off duty, and the state of 99 00:05:43,960 --> 00:05:49,320 Speaker 1: Kansas de certified him over that issue. But he lived 100 00:05:49,400 --> 00:05:51,600 Speaker 1: right on the river, so across the river in Missouri 101 00:05:52,040 --> 00:05:54,840 Speaker 1: he was not decertified, and so he became a police 102 00:05:54,880 --> 00:06:00,320 Speaker 1: chief in two towns there time after that. UM And 103 00:06:01,360 --> 00:06:04,120 Speaker 1: even more interesting than that, he was also the campus 104 00:06:04,160 --> 00:06:08,760 Speaker 1: police campus safety chief at a college in Kansas, a 105 00:06:08,839 --> 00:06:12,440 Speaker 1: state where the state government had deemed he was unfit 106 00:06:12,560 --> 00:06:15,760 Speaker 1: to be running up to be a police officer. UM. 107 00:06:15,800 --> 00:06:18,440 Speaker 1: So even within the same state where he was already 108 00:06:18,480 --> 00:06:22,200 Speaker 1: be certified, um he was acting in that capacity at 109 00:06:22,200 --> 00:06:26,080 Speaker 1: a college. John Kelly, director of Data journalism for the USA, 110 00:06:26,200 --> 00:06:29,400 Speaker 1: today on the line talking about their investigation in the 111 00:06:29,440 --> 00:06:32,320 Speaker 1: police misconduct and record keeping in the rest of it. 112 00:06:32,320 --> 00:06:37,000 Speaker 1: It's making me think, what's driving that? Lazy legislatures, legislatures 113 00:06:37,120 --> 00:06:39,279 Speaker 1: or the thin blue line thing or what what is 114 00:06:39,360 --> 00:06:42,159 Speaker 1: what is driving this? Well, one of the things that 115 00:06:42,200 --> 00:06:45,880 Speaker 1: we see the phenomenon that we see happening um and 116 00:06:46,000 --> 00:06:47,640 Speaker 1: we talked about in a story that we put out 117 00:06:47,640 --> 00:06:51,479 Speaker 1: today that focuses on these police chiefs as a sort 118 00:06:51,520 --> 00:06:56,279 Speaker 1: of microcosm of the problem. We found three things. Uh. One, 119 00:06:57,200 --> 00:07:01,279 Speaker 1: there are laws that legislators have passed asked that helped 120 00:07:01,360 --> 00:07:04,640 Speaker 1: hide some of these records. There are prosecutors and judges 121 00:07:04,720 --> 00:07:10,480 Speaker 1: when cops are convicted who will seal records or allow 122 00:07:10,600 --> 00:07:13,760 Speaker 1: them to plead down from a felony to a misdemeanor 123 00:07:13,800 --> 00:07:17,600 Speaker 1: on something that's a you know, a serious criminal act 124 00:07:18,240 --> 00:07:21,800 Speaker 1: in because they know that the felony will automatically be 125 00:07:21,920 --> 00:07:25,400 Speaker 1: certified the officer. But a misdemeanor will not uh. And 126 00:07:25,440 --> 00:07:27,960 Speaker 1: then more than that, the thing we ran into a 127 00:07:28,000 --> 00:07:30,520 Speaker 1: lot was as we called these departments and said, do 128 00:07:30,600 --> 00:07:34,760 Speaker 1: you know that officers so and so or Chief so 129 00:07:34,840 --> 00:07:39,960 Speaker 1: and so had this incident in a neighboring town or 130 00:07:39,960 --> 00:07:45,000 Speaker 1: in a different state. And we kept running into two things. No, 131 00:07:45,560 --> 00:07:48,880 Speaker 1: we didn't know that he didn't tell us that, and 132 00:07:49,200 --> 00:07:51,840 Speaker 1: you know, maybe they called for a reference and the 133 00:07:51,880 --> 00:07:55,160 Speaker 1: place that they called to didn't tell them that. Or 134 00:07:55,200 --> 00:07:58,960 Speaker 1: in some cases we've had people that mayors and and 135 00:07:58,960 --> 00:08:01,320 Speaker 1: and people that have hired these people into these jobs 136 00:08:01,320 --> 00:08:04,440 Speaker 1: say we did. But I talked to him about it, 137 00:08:04,840 --> 00:08:07,960 Speaker 1: and I felt like, you know, that he deserved a 138 00:08:08,000 --> 00:08:11,040 Speaker 1: second chance. Uh. And then we had other We had 139 00:08:11,080 --> 00:08:14,080 Speaker 1: a top that that came up in this that that 140 00:08:14,800 --> 00:08:18,520 Speaker 1: was under indictment in Ohio and got a job as 141 00:08:18,520 --> 00:08:23,240 Speaker 1: a sheriff's deputy in Daytona Beach Luge County, Florida. And 142 00:08:23,480 --> 00:08:25,920 Speaker 1: you know, we thought it was pretty telling and somewhat 143 00:08:25,920 --> 00:08:29,800 Speaker 1: of a microcosm of the larger problem that they later deterred. 144 00:08:29,880 --> 00:08:32,040 Speaker 1: They later found out he was under indictment and they 145 00:08:32,040 --> 00:08:35,240 Speaker 1: had to fire him just a little while after hiring him, 146 00:08:35,240 --> 00:08:37,120 Speaker 1: and the headline in the local paper was that the 147 00:08:37,200 --> 00:08:41,240 Speaker 1: sheriff promised he would start googling his police candidates. There 148 00:08:41,320 --> 00:08:45,959 Speaker 1: you go. John Kelly is the director of Dantage Journalism 149 00:08:45,960 --> 00:08:48,679 Speaker 1: for the USA Today. John, terrific job. I'm afraid we're 150 00:08:48,679 --> 00:08:50,160 Speaker 1: out of time, but we'll have a lenk so folks 151 00:08:50,240 --> 00:08:52,120 Speaker 1: can find their way to your piece and your team's 152 00:08:52,120 --> 00:08:54,319 Speaker 1: pisa very easily. Well done, good to talk to you. Thanks, 153 00:08:55,080 --> 00:08:57,800 Speaker 1: Thank you guys. And it sounds like there are follow 154 00:08:57,880 --> 00:08:59,520 Speaker 1: ups to come. Maybe we can talk to him again. 155 00:08:59,600 --> 00:09:02,160 Speaker 1: But that's that is really troubling. And there's gotta be 156 00:09:02,280 --> 00:09:04,280 Speaker 1: enough people out there that want to be cops, that 157 00:09:04,320 --> 00:09:06,199 Speaker 1: would be good cops that you don't have to keep 158 00:09:06,200 --> 00:09:09,960 Speaker 1: anybody around who's bad, but let them serve somewhere else well. 159 00:09:10,000 --> 00:09:13,040 Speaker 1: And the good cops that I know don't like what 160 00:09:13,160 --> 00:09:15,920 Speaker 1: the bad cops due to the reputation of their agency 161 00:09:16,160 --> 00:09:19,280 Speaker 1: or police in general. So it's in everybody's interest to 162 00:09:19,280 --> 00:09:22,439 Speaker 1: be better about this. Be fair, but be better about it. 163 00:09:22,760 --> 00:09:26,800 Speaker 1: We begin today's meditation with a few sipping exercises to 164 00:09:26,880 --> 00:09:29,760 Speaker 1: remind us a little treat can go a long way, 165 00:09:30,000 --> 00:09:33,520 Speaker 1: So pick up your mccafee iced coffees close your eyes 166 00:09:34,200 --> 00:09:44,000 Speaker 1: and deep sipping and deep satisfaction out take a street 167 00:09:44,040 --> 00:09:47,280 Speaker 1: retreat at McDonald's right now, get mccaffee iced coffee in 168 00:09:47,360 --> 00:09:49,920 Speaker 1: any size and any flavor for just ninety nine cents 169 00:09:49,960 --> 00:09:52,839 Speaker 1: until eleven a m. Price of participation may vary