1 00:00:00,080 --> 00:00:01,440 Speaker 1: What don't we make of this report and to so 2 00:00:01,520 --> 00:00:04,080 Speaker 1: called police racism, There isn't enough fairness and equity in 3 00:00:04,080 --> 00:00:08,360 Speaker 1: policing services. Apparently the issues are systemic. The Policeman Commissioner 4 00:00:08,400 --> 00:00:10,240 Speaker 1: Andrew Costa with us good morning. 5 00:00:10,200 --> 00:00:10,920 Speaker 2: Good morning, MIKEL. 6 00:00:11,000 --> 00:00:13,520 Speaker 1: I'm getting mixed messages out of this report. Are you 7 00:00:13,600 --> 00:00:14,280 Speaker 1: racist or not? 8 00:00:16,239 --> 00:00:21,880 Speaker 2: The report has found gaps in relation to outcomes for 9 00:00:22,600 --> 00:00:25,880 Speaker 2: people depending on their backgrounds. However, the report has also 10 00:00:25,960 --> 00:00:28,360 Speaker 2: found that many of those gaps can be explained by 11 00:00:28,440 --> 00:00:32,120 Speaker 2: things that occur upstream of police. For example, drug and 12 00:00:32,159 --> 00:00:35,360 Speaker 2: alcohol is shoes, mental health issues and so on. So 13 00:00:35,720 --> 00:00:40,320 Speaker 2: the outcomes are actually very confirmatory of what police would 14 00:00:40,320 --> 00:00:43,160 Speaker 2: say about what counter is. 15 00:00:43,080 --> 00:00:46,440 Speaker 1: This robust research? It seems to be based more on 16 00:00:46,479 --> 00:00:49,960 Speaker 1: a vibe than hard statistical data. 17 00:00:51,840 --> 00:00:54,440 Speaker 2: It is robust and it's been done by respected researchers 18 00:00:54,480 --> 00:01:01,200 Speaker 2: and overseeing by experienced research panel. There are different methodologies 19 00:01:01,240 --> 00:01:04,400 Speaker 2: that have been used, and of course you know there's 20 00:01:04,400 --> 00:01:07,919 Speaker 2: a mix of data where it's available and then also 21 00:01:08,360 --> 00:01:11,240 Speaker 2: speaking to people's lived experience. If you're like so, it 22 00:01:11,319 --> 00:01:12,880 Speaker 2: is a mix of methodology. 23 00:01:12,440 --> 00:01:14,160 Speaker 1: Right, So when they say you're more likely to be 24 00:01:14,200 --> 00:01:16,479 Speaker 1: stopped if you Maori. How do they come to that conclusion. 25 00:01:19,959 --> 00:01:23,760 Speaker 2: That conclusion is difficult based on data. The data that 26 00:01:23,800 --> 00:01:27,000 Speaker 2: we're strongest on is around prosecutions, where we have a 27 00:01:27,000 --> 00:01:30,319 Speaker 2: pretty rich data set. That one's really interesting because the 28 00:01:30,400 --> 00:01:33,520 Speaker 2: raw data might suggest that Maria is much as three 29 00:01:33,520 --> 00:01:37,280 Speaker 2: times more likely to be prosecuted three hundred percent, but 30 00:01:37,440 --> 00:01:40,320 Speaker 2: when you account for offending history has been seriously, it's 31 00:01:40,360 --> 00:01:42,440 Speaker 2: more like twelve percent exactly. 32 00:01:42,640 --> 00:01:46,240 Speaker 1: So that was my next question. So surely you are 33 00:01:46,280 --> 00:01:49,320 Speaker 1: more likely to be charged if you're already in the system, 34 00:01:49,600 --> 00:01:52,400 Speaker 1: you're known to the police, and you commit yet another crime. 35 00:01:52,440 --> 00:01:53,960 Speaker 1: I mean, why wouldn't you get charged? The fact you 36 00:01:53,960 --> 00:01:56,560 Speaker 1: happened to be Maor's neither here nor there. You're a criminal. 37 00:01:57,680 --> 00:02:02,320 Speaker 2: Yeah, So the strongest driver likelihood to charge is actually 38 00:02:02,320 --> 00:02:04,880 Speaker 2: if you're a member of a gang, who roughly two 39 00:02:04,960 --> 00:02:07,680 Speaker 2: hundred percent more likely to be charged non gang members. 40 00:02:08,280 --> 00:02:15,400 Speaker 2: And then factors like previous offending age shows, you know, 41 00:02:15,520 --> 00:02:18,480 Speaker 2: as indicative as a as a sort of factor. So 42 00:02:20,160 --> 00:02:21,600 Speaker 2: there are whole lot of things that come into it. 43 00:02:21,680 --> 00:02:24,360 Speaker 2: But in the end, the report does suggest that please 44 00:02:24,400 --> 00:02:27,560 Speaker 2: significantly deal with what is in front of us and 45 00:02:27,919 --> 00:02:29,000 Speaker 2: make Yeah. 46 00:02:29,040 --> 00:02:30,840 Speaker 1: See I'm trying to defend you on this because I 47 00:02:30,960 --> 00:02:32,919 Speaker 1: just if you're a member of a gang, once again, 48 00:02:33,040 --> 00:02:35,360 Speaker 1: the fact that you're Maori is neither here nor there now. 49 00:02:35,400 --> 00:02:37,120 Speaker 1: The a lot of Marian gangs, but we know that. 50 00:02:37,160 --> 00:02:38,720 Speaker 1: But I mean, if you're a gang member who breaks 51 00:02:38,760 --> 00:02:40,520 Speaker 1: the law, I would expect you as the police to 52 00:02:40,560 --> 00:02:42,520 Speaker 1: do something about it. What's that got to do with race? 53 00:02:44,720 --> 00:02:49,160 Speaker 2: And we know that gangs are very prominent and offending 54 00:02:49,160 --> 00:02:51,680 Speaker 2: in our communities. It dealing drugs and whatever else, and 55 00:02:51,720 --> 00:02:54,600 Speaker 2: that doesn't form the approach our people take now. To 56 00:02:54,600 --> 00:02:57,680 Speaker 2: be fair, there is still an unexplained gap and some 57 00:02:57,720 --> 00:02:59,440 Speaker 2: of the work that we need to continue to do. 58 00:02:59,520 --> 00:03:02,200 Speaker 2: But that explain gap has been reducing at quite a rate. 59 00:03:02,320 --> 00:03:07,000 Speaker 2: So five years ago it was nineteen percent. As of 60 00:03:08,000 --> 00:03:11,440 Speaker 2: this research, it's now at twelve percent. So there are 61 00:03:11,440 --> 00:03:14,760 Speaker 2: things that are also making shift in a positive way. 62 00:03:14,880 --> 00:03:17,160 Speaker 1: Correct me if I'm wrong, But part of the problem 63 00:03:17,240 --> 00:03:19,040 Speaker 1: solving that you would be under eye as far as 64 00:03:19,120 --> 00:03:21,000 Speaker 1: I can work out from my casual observation of the 65 00:03:21,000 --> 00:03:22,760 Speaker 1: police force in this country, it would be one of 66 00:03:22,800 --> 00:03:26,000 Speaker 1: the most multicultural operations going. Is that not true? And 67 00:03:26,000 --> 00:03:27,920 Speaker 1: if it is true, surely that would help address the 68 00:03:28,200 --> 00:03:30,040 Speaker 1: perceived problem. 69 00:03:30,400 --> 00:03:34,640 Speaker 2: Yeah, it's incredibly diverse, and the young people coming in 70 00:03:34,720 --> 00:03:38,120 Speaker 2: to our organization today are very alive to these issues 71 00:03:38,640 --> 00:03:41,440 Speaker 2: and they are very careful. So I have a huge 72 00:03:41,480 --> 00:03:44,240 Speaker 2: amount of confidence and how people were dealing with very 73 00:03:44,240 --> 00:03:48,680 Speaker 2: difficult situations every day. But it is a great police service. 74 00:03:48,840 --> 00:03:50,760 Speaker 1: Right while, I've got you a couple of other things. 75 00:03:50,800 --> 00:03:54,200 Speaker 1: The layoffs announced yesterday, swear hand on heart. There are 76 00:03:54,200 --> 00:03:55,880 Speaker 1: no frontline people being affected by this. 77 00:03:58,480 --> 00:04:02,520 Speaker 2: All of the roles that are in focus in there 78 00:04:02,560 --> 00:04:06,000 Speaker 2: are a non frontline roles, so they are in the 79 00:04:06,000 --> 00:04:09,160 Speaker 2: corporate support area. Now, you don't get a frontline officer 80 00:04:09,400 --> 00:04:12,200 Speaker 2: on the street without a car and a property to 81 00:04:12,200 --> 00:04:15,720 Speaker 2: be based and technology to support them. And so these 82 00:04:15,840 --> 00:04:20,400 Speaker 2: roles do relate to some of those areas, but none 83 00:04:20,400 --> 00:04:22,320 Speaker 2: of the roles impacted our frontline roles. 84 00:04:22,400 --> 00:04:23,080 Speaker 1: Can you cope? 85 00:04:25,400 --> 00:04:29,719 Speaker 2: Look, we're a big organization. It's a large number, but 86 00:04:29,800 --> 00:04:32,880 Speaker 2: as a percentage it's not huge. And in the end 87 00:04:33,160 --> 00:04:35,000 Speaker 2: haven't finance as the type we've been asked to make 88 00:04:35,040 --> 00:04:36,640 Speaker 2: a contribution, and that's what we have to do. 89 00:04:36,880 --> 00:04:39,839 Speaker 1: The Auckland CBD stats, crime is coming down, People on 90 00:04:39,880 --> 00:04:42,200 Speaker 1: the beat is working. Do you believe the numbers. 91 00:04:43,839 --> 00:04:46,600 Speaker 2: Yeah, I do, and those numbers have been on a 92 00:04:46,640 --> 00:04:52,320 Speaker 2: gradual decline since about March twenty twenty three. Now there's 93 00:04:52,360 --> 00:04:54,880 Speaker 2: a lot more work to do, and I do think 94 00:04:54,880 --> 00:04:58,200 Speaker 2: that we're making progress. A lot of the issues are 95 00:04:58,200 --> 00:05:02,320 Speaker 2: in sort of anti social behavior more so than criminal offending, 96 00:05:02,480 --> 00:05:05,200 Speaker 2: and those problems are a bit stickier to address and 97 00:05:05,240 --> 00:05:07,640 Speaker 2: needs a broader effort. But yep, I think we're making 98 00:05:07,640 --> 00:05:08,120 Speaker 2: a difference. 99 00:05:08,160 --> 00:05:10,480 Speaker 1: And the formal warning issue, you've got that the court 100 00:05:10,520 --> 00:05:13,000 Speaker 1: has found that if the person didn't agree with you, 101 00:05:13,080 --> 00:05:16,440 Speaker 1: then it's illegal. Were you handing out formal warnings in 102 00:05:16,560 --> 00:05:19,080 Speaker 1: lieu of arresting people and doing proper policing or not. 103 00:05:20,839 --> 00:05:23,599 Speaker 2: I'll give you the most likely one of the scenarios 104 00:05:23,640 --> 00:05:26,560 Speaker 2: that featured in formal warnings, and it's the situation where 105 00:05:26,560 --> 00:05:31,839 Speaker 2: you have, say, a sexual assault allegation, you don't have 106 00:05:32,000 --> 00:05:36,920 Speaker 2: enough evidence to pursue it in court, and the offender 107 00:05:37,560 --> 00:05:41,120 Speaker 2: was willing to accept a warning but wouldn't admit the offending. 108 00:05:42,120 --> 00:05:45,320 Speaker 2: That was quite often a good closure for a complainant 109 00:05:45,400 --> 00:05:48,200 Speaker 2: because they would at least feel like the person has 110 00:05:48,240 --> 00:05:53,600 Speaker 2: had that addressed. But the court's regularly said, basically, if 111 00:05:53,640 --> 00:05:56,080 Speaker 2: you can't prove it in court, then you can't give 112 00:05:56,360 --> 00:06:00,279 Speaker 2: a warning, and so that significantly reduces the opportunity for 113 00:06:00,279 --> 00:06:00,880 Speaker 2: for that kind of. 114 00:06:00,880 --> 00:06:02,799 Speaker 1: Activity that make your life more difficult. 115 00:06:04,520 --> 00:06:08,080 Speaker 2: Uh, look at in the that's what the law says. 116 00:06:09,400 --> 00:06:12,200 Speaker 2: I do think that that resolution made a difference for 117 00:06:12,320 --> 00:06:15,000 Speaker 2: some complainants who maybe didn't want to go through a 118 00:06:15,040 --> 00:06:19,200 Speaker 2: court process but felt like if the offending had at 119 00:06:19,240 --> 00:06:22,839 Speaker 2: least been addressed in some way. But you know, in 120 00:06:22,880 --> 00:06:24,440 Speaker 2: the end, if we if we can't prove it, the 121 00:06:24,520 --> 00:06:26,720 Speaker 2: law says, we can't woman for it, and that's kind 122 00:06:26,720 --> 00:06:27,159 Speaker 2: of where we are. 123 00:06:27,200 --> 00:06:29,359 Speaker 1: Okay, appreciate it. Andrew costa police commissioner. 124 00:06:29,880 --> 00:06:32,760 Speaker 2: For more from the Mic Asking Breakfast, listen live to 125 00:06:32,880 --> 00:06:35,960 Speaker 2: news talks it'd be from six am weekdays, or follow 126 00:06:36,000 --> 00:06:37,560 Speaker 2: the podcast on iHeartRadio.