1 00:00:00,080 --> 00:00:03,920 Speaker 1: In fact, Mark and Jenny, good morning to you. If 2 00:00:03,960 --> 00:00:05,760 Speaker 1: you two aren't any good, I may end the segment 3 00:00:05,800 --> 00:00:07,920 Speaker 1: early and play some more of that and see how Yeah. 4 00:00:07,960 --> 00:00:13,960 Speaker 1: Absolutely anyway, now, Ginny'd start with you With Andrew Little, 5 00:00:14,000 --> 00:00:15,720 Speaker 1: we talked about it briefly or alluded to. I think 6 00:00:15,760 --> 00:00:17,479 Speaker 1: it was last week or the week before. So would 7 00:00:17,560 --> 00:00:20,320 Speaker 1: you see him winning the mayoralty? Is he forget the 8 00:00:20,400 --> 00:00:23,000 Speaker 1: labor thing? But just what have you noted? Is he 9 00:00:23,040 --> 00:00:23,599 Speaker 1: a good mayor? 10 00:00:24,520 --> 00:00:26,080 Speaker 2: I think he would be a great mayor. People are 11 00:00:26,120 --> 00:00:30,000 Speaker 2: looking for someone decisive who can take control, bring people 12 00:00:30,040 --> 00:00:33,280 Speaker 2: together and bring some confidence back into the Wellington area, 13 00:00:33,360 --> 00:00:35,320 Speaker 2: and I think he ticks all of those boxes. 14 00:00:35,840 --> 00:00:38,040 Speaker 1: Is part of the problem though, in sprooking him the 15 00:00:38,080 --> 00:00:41,320 Speaker 1: way you just did, the fact that people don't seem to, 16 00:00:41,520 --> 00:00:43,840 Speaker 1: for whatever reason, understand that he is just a mayor 17 00:00:43,880 --> 00:00:45,760 Speaker 1: with just one vote, and unless he gets a counsel 18 00:00:45,760 --> 00:00:47,839 Speaker 1: aligned with his sort of thinking, he goes nowhere. 19 00:00:48,640 --> 00:00:51,960 Speaker 2: I think Wellingtonian's a pretty smart They're pretty connected into 20 00:00:52,040 --> 00:00:54,720 Speaker 2: what's happening, not just in New Zealand but the world, 21 00:00:54,840 --> 00:00:57,280 Speaker 2: and they understand that the role of the mayor is 22 00:00:57,280 --> 00:01:01,200 Speaker 2: to bring that counsel together. You need to have a 23 00:01:01,240 --> 00:01:04,080 Speaker 2: majority and a consensus in order to get things done, 24 00:01:04,440 --> 00:01:06,760 Speaker 2: and they've seen that that's important if we want to 25 00:01:06,760 --> 00:01:08,399 Speaker 2: see progress in Wellington. 26 00:01:08,240 --> 00:01:11,199 Speaker 1: If Wellingtonians are smart, how do you explain Timotha Paul? 27 00:01:13,080 --> 00:01:15,240 Speaker 2: Look, I'm not responsible for timoth and Paul. 28 00:01:15,319 --> 00:01:16,680 Speaker 1: I've been very Wellingtonians. 29 00:01:17,840 --> 00:01:19,920 Speaker 2: I don't agree with who views. 30 00:01:20,360 --> 00:01:22,520 Speaker 1: Indeed, she's got a majority of six thousand and the 31 00:01:22,560 --> 00:01:25,000 Speaker 1: Wellington Central Electorate. How do you explain that. 32 00:01:25,840 --> 00:01:28,720 Speaker 2: I would have to interview six thousand people to understand that, 33 00:01:28,760 --> 00:01:31,120 Speaker 2: because I don't know. 34 00:01:31,280 --> 00:01:33,760 Speaker 1: What do you do Mark when you've got people actively 35 00:01:33,840 --> 00:01:36,880 Speaker 1: selling T shirts to defund the police? 36 00:01:38,280 --> 00:01:38,920 Speaker 3: Well? I mean that. 37 00:01:39,080 --> 00:01:42,520 Speaker 4: I guess the question for Chris Hipkins and Ginny is 38 00:01:42,560 --> 00:01:44,160 Speaker 4: that they came out and said that there's some of 39 00:01:44,240 --> 00:01:46,360 Speaker 4: the issues that she raised it are valid. 40 00:01:46,400 --> 00:01:48,160 Speaker 3: I mean, what are they? What are the issues that 41 00:01:48,240 --> 00:01:48,760 Speaker 3: she's raised. 42 00:01:48,960 --> 00:01:53,600 Speaker 2: I think the point she raised was the report that 43 00:01:53,640 --> 00:01:57,600 Speaker 2: police themselves have commissioned, which is the looking into with 44 00:01:57,680 --> 00:02:01,520 Speaker 2: these institutional bias in understanding police delivery is a piece 45 00:02:01,520 --> 00:02:04,440 Speaker 2: of work that police themselves have undertaken and have then 46 00:02:04,480 --> 00:02:06,360 Speaker 2: found some outcomes that they do need to improve on. 47 00:02:06,640 --> 00:02:08,960 Speaker 2: So I think that's the point she was talking about. 48 00:02:08,960 --> 00:02:11,320 Speaker 4: Well, on the instruction of Chris Hipkins, who told them 49 00:02:11,360 --> 00:02:15,760 Speaker 4: to go away and do a report on institutional bias 50 00:02:15,800 --> 00:02:18,400 Speaker 4: and racism and which police is not. 51 00:02:18,480 --> 00:02:20,280 Speaker 3: We do not have a racist police. Are you saying 52 00:02:20,280 --> 00:02:21,280 Speaker 3: that our police are racist? 53 00:02:21,440 --> 00:02:23,799 Speaker 2: I think that's what I think you need to read 54 00:02:23,800 --> 00:02:25,840 Speaker 2: that report because you're well, it was your report. 55 00:02:25,880 --> 00:02:29,560 Speaker 3: It was your report public safety. 56 00:02:29,800 --> 00:02:32,360 Speaker 4: You're focused on the police pointing the fingers that themselves 57 00:02:32,360 --> 00:02:35,720 Speaker 4: are called themselves racist. We're focused exactly the narrative that 58 00:02:35,760 --> 00:02:37,520 Speaker 4: the Green said. So, yes, you are aligned. 59 00:02:37,840 --> 00:02:39,360 Speaker 1: We're focused should about that. 60 00:02:39,400 --> 00:02:41,560 Speaker 2: Can I speak now? Is that all right? Mike? Am 61 00:02:41,560 --> 00:02:45,679 Speaker 2: I allowed to answer? So we're focused on making sure 62 00:02:45,720 --> 00:02:48,280 Speaker 2: our communities are safe now, but also breaking the cycle 63 00:02:48,320 --> 00:02:50,560 Speaker 2: of crime. And that's the problem with this government is 64 00:02:50,600 --> 00:02:53,720 Speaker 2: they have no plan breaking that cycle of crime. The 65 00:02:53,760 --> 00:02:56,239 Speaker 2: police undertook a really good piece of research to where 66 00:02:56,240 --> 00:02:59,480 Speaker 2: they can improve reaching into a wide range of communities 67 00:02:59,600 --> 00:03:02,520 Speaker 2: to make sure that they can police with confidence and 68 00:03:02,600 --> 00:03:05,440 Speaker 2: have the trust and confidence of communities. And if we 69 00:03:05,480 --> 00:03:08,880 Speaker 2: are serious about improving the reporting, it's a vital that 70 00:03:08,919 --> 00:03:11,680 Speaker 2: communities report crime and Mark we should know that. 71 00:03:12,200 --> 00:03:13,560 Speaker 3: Said Mike. 72 00:03:13,600 --> 00:03:15,639 Speaker 4: Can I just very quickly respond to that if you're 73 00:03:15,680 --> 00:03:19,480 Speaker 4: talking about public confidence and police under you guys, public 74 00:03:19,480 --> 00:03:23,120 Speaker 4: confidence of police was trending down. The latest report that's 75 00:03:23,160 --> 00:03:25,440 Speaker 4: come out around public confidence and police in the last 76 00:03:25,440 --> 00:03:27,000 Speaker 4: fel months is it's trending. 77 00:03:26,760 --> 00:03:27,440 Speaker 3: Back up again. 78 00:03:28,080 --> 00:03:30,880 Speaker 4: So so public confidence and police is growing. And I 79 00:03:30,960 --> 00:03:33,200 Speaker 4: just want to I just want to make this point, Mike. 80 00:03:33,280 --> 00:03:35,240 Speaker 2: Do you think it's because of understanding delivery? 81 00:03:35,680 --> 00:03:39,200 Speaker 4: Chris Hipkins when he came into Parliament, his letter of 82 00:03:39,760 --> 00:03:43,480 Speaker 4: expectations to the police was around doing a report on 83 00:03:43,520 --> 00:03:46,400 Speaker 4: whether or not they're racist. Our letter of expectation was 84 00:03:46,440 --> 00:03:48,040 Speaker 4: to get out there and make the public safe. 85 00:03:48,320 --> 00:03:49,160 Speaker 3: That is the difference. 86 00:03:50,000 --> 00:03:51,800 Speaker 1: I'm listening to this in the middle. I'm sitting here 87 00:03:51,840 --> 00:03:53,760 Speaker 1: gain ding ding in the middle here, Jenny. You you 88 00:03:53,880 --> 00:03:58,640 Speaker 1: just sounded to me like a university researcher. And we 89 00:03:58,680 --> 00:04:01,040 Speaker 1: did a piece of work and I just thought, oh 90 00:04:01,120 --> 00:04:03,040 Speaker 1: my god, all I want to see is some cops 91 00:04:03,040 --> 00:04:05,440 Speaker 1: on the corner and feel a bit safe on the street. 92 00:04:05,560 --> 00:04:08,640 Speaker 2: And we came out and delivered one thy eight hundred 93 00:04:08,720 --> 00:04:12,200 Speaker 2: extra police. We increased investment in the police by fifty percent. 94 00:04:12,680 --> 00:04:15,800 Speaker 2: Under Mark's watch, he's delivered thirteen out of five hundred 95 00:04:15,800 --> 00:04:18,640 Speaker 2: police and we've actually seen a cut in the overall 96 00:04:18,640 --> 00:04:21,000 Speaker 2: police budget. So if you want to talk about funding 97 00:04:21,000 --> 00:04:21,760 Speaker 2: the police, it. 98 00:04:21,720 --> 00:04:26,120 Speaker 4: Wasn't actually can I Drew set my number one? 99 00:04:26,160 --> 00:04:28,159 Speaker 3: The police were underfunded when we came into government. 100 00:04:28,200 --> 00:04:32,720 Speaker 4: We immediately budget march, so I let you have your say, 101 00:04:32,920 --> 00:04:35,440 Speaker 4: let me have mine. When we come into government, there 102 00:04:35,440 --> 00:04:38,400 Speaker 4: are one hundred and twenty million dollar underfunded on the 103 00:04:38,440 --> 00:04:41,479 Speaker 4: cost pressures that the previous government hadn't done it. We 104 00:04:41,560 --> 00:04:44,679 Speaker 4: immediately did that. Any cost savings. The fifty five million 105 00:04:44,680 --> 00:04:47,280 Speaker 4: dollars in cost savings went immediately into the front line 106 00:04:47,480 --> 00:04:48,320 Speaker 4: for new equipment. 107 00:04:48,760 --> 00:04:50,000 Speaker 3: And by the way, we were. 108 00:04:49,880 --> 00:04:53,159 Speaker 4: Two hundred understaffed when we came into government, so the 109 00:04:53,160 --> 00:04:56,320 Speaker 4: previous government allowed numbers to drop by two hundred. We 110 00:04:56,360 --> 00:04:58,800 Speaker 4: were working really hard to get above that. And at 111 00:04:58,800 --> 00:05:01,120 Speaker 4: the same time, with the numbers that we've got, we've 112 00:05:01,160 --> 00:05:03,880 Speaker 4: got crime trending down, we've got a police station opening 113 00:05:03,920 --> 00:05:08,040 Speaker 4: in Auckland Central, we've got forty percent more police visibility 114 00:05:08,080 --> 00:05:10,480 Speaker 4: and people on the beat, and we've got public confidence 115 00:05:10,520 --> 00:05:11,000 Speaker 4: coming back. 116 00:05:11,200 --> 00:05:14,320 Speaker 2: Right any a ministerial advisory group saying that you've lost 117 00:05:14,360 --> 00:05:17,599 Speaker 2: control of organized crime with a ninety six percent increase 118 00:05:17,760 --> 00:05:18,800 Speaker 2: in mean we haven't lost. 119 00:05:18,640 --> 00:05:22,120 Speaker 1: Control of organized crime corners. You too, will come back 120 00:05:22,120 --> 00:05:24,240 Speaker 1: with more in the moment. Mark Mitchell, Jenny Anderson thirteen 121 00:05:24,279 --> 00:05:27,960 Speaker 1: past sixteen past eight Politics when they're Wednesday, Junny and 122 00:05:28,000 --> 00:05:29,680 Speaker 1: Mark Jeney just real quick because I want to move 123 00:05:29,680 --> 00:05:32,040 Speaker 1: on from crime and punishment in general. But the thing 124 00:05:32,120 --> 00:05:34,320 Speaker 1: yesterday with victims of crime, you can't argue with stats, 125 00:05:34,320 --> 00:05:36,440 Speaker 1: the stats that the numbers are down. They've met a target. 126 00:05:36,520 --> 00:05:38,960 Speaker 1: This is good. Do the gang patch thing police like it. 127 00:05:39,000 --> 00:05:41,719 Speaker 1: That's good as well. They're getting some wins, aren't they. 128 00:05:42,640 --> 00:05:46,400 Speaker 2: They've shifted to a new methodology and given the last 129 00:05:46,440 --> 00:05:49,840 Speaker 2: release that they put out, which was from a Twitter handle, 130 00:05:50,560 --> 00:05:55,360 Speaker 2: you have to question the validity of that data. So, yeah, crime, 131 00:05:55,440 --> 00:05:59,240 Speaker 2: you questioned the Justice data because they're doing it quarterly 132 00:05:59,360 --> 00:06:01,640 Speaker 2: and it's designed to be put out annually. So it 133 00:06:01,680 --> 00:06:04,799 Speaker 2: moves around a twenty eight thousand reduction in one quarter. 134 00:06:05,240 --> 00:06:07,400 Speaker 2: Let's see after a year where it sits. That's a 135 00:06:07,400 --> 00:06:08,200 Speaker 2: better indicator. 136 00:06:08,480 --> 00:06:11,720 Speaker 1: If it sits down, will you can says that this 137 00:06:11,760 --> 00:06:13,200 Speaker 1: is the problem with being in the opposition. You've got 138 00:06:13,200 --> 00:06:15,280 Speaker 1: to criticize even when the numbers don't go your way. 139 00:06:15,720 --> 00:06:18,000 Speaker 1: If it's down, will you can see that the gang 140 00:06:18,040 --> 00:06:20,839 Speaker 1: patch thing has worked is working, and there are fewer 141 00:06:20,920 --> 00:06:23,240 Speaker 1: victims of crime in this community and that people do 142 00:06:23,440 --> 00:06:24,960 Speaker 1: generally feel safer on the street. 143 00:06:25,960 --> 00:06:28,560 Speaker 2: If that is not just a reduction in family violence. 144 00:06:28,560 --> 00:06:31,880 Speaker 2: So that large latest data showed a downturn in family violence. 145 00:06:32,160 --> 00:06:35,400 Speaker 2: We know family violence is already underreported, so it would 146 00:06:35,400 --> 00:06:37,960 Speaker 2: be disingenuous of the government to pull back from family 147 00:06:38,040 --> 00:06:40,719 Speaker 2: violence say this is a win, as is fewer victims 148 00:06:41,000 --> 00:06:43,160 Speaker 2: when they're not actually breaking the cycle of quant crime, 149 00:06:43,160 --> 00:06:45,000 Speaker 2: they're just sweeping it under the carpet. So we need 150 00:06:45,040 --> 00:06:48,560 Speaker 2: to understand where that reduction comes from, particularly if it's 151 00:06:48,560 --> 00:06:49,680 Speaker 2: coming from family violence. 152 00:06:49,880 --> 00:06:51,680 Speaker 3: So might really quickly on the numbers. 153 00:06:51,720 --> 00:06:55,240 Speaker 4: We released these numbers three months in government, which showed 154 00:06:55,720 --> 00:06:59,239 Speaker 4: that they were that increased massively, and labor was completely 155 00:06:59,320 --> 00:07:02,760 Speaker 4: solid on it because it fitted the narrative. Now we 156 00:07:02,839 --> 00:07:06,040 Speaker 4: release the numbers sixteen months into government showing that we're 157 00:07:06,040 --> 00:07:08,479 Speaker 4: getting a big reduction, and all of a sudden, oh, 158 00:07:08,480 --> 00:07:09,760 Speaker 4: I know, you can't trust the numbers. 159 00:07:09,760 --> 00:07:10,480 Speaker 3: It's just a joke. 160 00:07:10,640 --> 00:07:13,080 Speaker 2: Okay, your own Justice minister has said that they jump 161 00:07:13,120 --> 00:07:15,280 Speaker 2: around and they're volatile, and we need to wait for 162 00:07:15,520 --> 00:07:18,800 Speaker 2: entire year, not on quarterly data when that data was 163 00:07:18,800 --> 00:07:20,400 Speaker 2: designed to be reported annually. 164 00:07:20,520 --> 00:07:24,840 Speaker 1: Old Genny, I've got to change you. Soviet Golden Visa's ginny. 165 00:07:24,960 --> 00:07:26,880 Speaker 1: That seems to be working. You bring people into the 166 00:07:26,880 --> 00:07:29,360 Speaker 1: country five or ten million dollars. We've had more people 167 00:07:29,360 --> 00:07:31,440 Speaker 1: than we've ever had applying at the moment. That's good 168 00:07:31,440 --> 00:07:32,320 Speaker 1: for the country, isn't it. 169 00:07:33,520 --> 00:07:35,400 Speaker 2: It is good, But it's the type of investment we're 170 00:07:35,400 --> 00:07:38,160 Speaker 2: seeing from that, So there's been quite a few questions 171 00:07:38,480 --> 00:07:41,600 Speaker 2: raised about whether or not that's actually going to result 172 00:07:41,920 --> 00:07:44,520 Speaker 2: and the right type of investment. We were lobbied by 173 00:07:44,840 --> 00:07:48,320 Speaker 2: those sort of investor types that they're concerned that that 174 00:07:48,440 --> 00:07:53,080 Speaker 2: won't necessarily translate into good long term structural investment in 175 00:07:53,120 --> 00:07:55,760 Speaker 2: New Zealand. So it does raise questions in that space. 176 00:07:55,880 --> 00:07:57,400 Speaker 1: If it does, will you keep it? 177 00:07:59,120 --> 00:08:01,360 Speaker 2: We want to see the type of investment to make 178 00:08:01,400 --> 00:08:04,240 Speaker 2: sure that it's growing our economy. So someone who's wealthy 179 00:08:04,320 --> 00:08:07,440 Speaker 2: and coming in here with that passive type of investment, 180 00:08:07,600 --> 00:08:09,320 Speaker 2: if it's not actually helping New Zealand here. 181 00:08:09,440 --> 00:08:10,960 Speaker 1: But what I asked you is if they bring their 182 00:08:11,000 --> 00:08:12,960 Speaker 1: money in and it helps grow the economy, will you 183 00:08:13,040 --> 00:08:13,880 Speaker 1: keep it. 184 00:08:14,080 --> 00:08:15,760 Speaker 2: I can't make policy on TB. 185 00:08:16,600 --> 00:08:17,920 Speaker 1: I will always it's an idea. 186 00:08:18,600 --> 00:08:21,240 Speaker 2: If something is working and it's producing good outcomes for 187 00:08:21,280 --> 00:08:25,000 Speaker 2: New Zealanders, higher wages, better investment in our infrastructure, of 188 00:08:25,000 --> 00:08:26,200 Speaker 2: course it's a good idea. 189 00:08:26,240 --> 00:08:29,120 Speaker 1: What we need, Mark, though, is the ability for these 190 00:08:29,120 --> 00:08:30,680 Speaker 1: people to come into the country and buy a house. 191 00:08:30,680 --> 00:08:32,920 Speaker 1: And Winston's holding you up on the houses. Why don't 192 00:08:32,920 --> 00:08:34,680 Speaker 1: you have you had? What are you going to do 193 00:08:34,720 --> 00:08:36,960 Speaker 1: about that? Because you can't have a person coming in 194 00:08:36,960 --> 00:08:39,760 Speaker 1: investing ten million dollars on a Golden visa then going 195 00:08:39,800 --> 00:08:42,400 Speaker 1: straight to the airbnb because that's not what we want, 196 00:08:42,520 --> 00:08:42,840 Speaker 1: is it. 197 00:08:43,720 --> 00:08:47,120 Speaker 4: Yeah, that's been raised as a legitimate issue and obviously 198 00:08:47,160 --> 00:08:49,079 Speaker 4: that will have to be worked through. But I mean, 199 00:08:49,120 --> 00:08:52,840 Speaker 4: obviously the coalition government just focused on getting good quality 200 00:08:53,880 --> 00:08:57,320 Speaker 4: foreign investments to the country. We need that, the Golden visa. 201 00:08:57,360 --> 00:09:01,520 Speaker 4: The Golden Visa is proving to be very effective doing that. Labours, 202 00:09:01,640 --> 00:09:04,480 Speaker 4: just arguing labor is the part of you know, it's 203 00:09:04,520 --> 00:09:06,760 Speaker 4: just what I argue against everything that we're doing as 204 00:09:06,760 --> 00:09:09,679 Speaker 4: a country to try and get ourselves ahead. And I 205 00:09:09,760 --> 00:09:12,280 Speaker 4: think that's a bit rich after six years of them 206 00:09:12,320 --> 00:09:14,200 Speaker 4: and us going back with so rapid Do you. 207 00:09:14,360 --> 00:09:16,800 Speaker 1: Jenny, do you trust the media in general. What would 208 00:09:16,840 --> 00:09:19,040 Speaker 1: you score be ten? I love them, trust every word 209 00:09:19,080 --> 00:09:21,160 Speaker 1: they say. One They're a pile of crap. Where are 210 00:09:21,160 --> 00:09:21,520 Speaker 1: you at? 211 00:09:22,960 --> 00:09:25,400 Speaker 2: Look, things are changing a bit. I have to say, 212 00:09:25,480 --> 00:09:27,079 Speaker 2: like in the last couple of years of my life, 213 00:09:27,120 --> 00:09:29,720 Speaker 2: we're entering a new era where you can't rely on 214 00:09:29,840 --> 00:09:33,600 Speaker 2: things to be exactly right, and that data is a 215 00:09:33,600 --> 00:09:38,160 Speaker 2: good example of how you tell a story. So yeah, 216 00:09:38,160 --> 00:09:41,280 Speaker 2: I'm skeptical sometimes. I think it's always important that people 217 00:09:41,920 --> 00:09:44,880 Speaker 2: check what they're seeing from another source. So two sources 218 00:09:44,960 --> 00:09:47,240 Speaker 2: is always a good way of understanding what you think 219 00:09:47,280 --> 00:09:48,760 Speaker 2: it's an accurate picture. 220 00:09:49,040 --> 00:09:49,679 Speaker 1: Where are you at? 221 00:09:49,679 --> 00:09:49,880 Speaker 3: Mark? 222 00:09:50,840 --> 00:09:53,319 Speaker 4: I just think that Look, for us as politicians, we 223 00:09:53,960 --> 00:09:55,280 Speaker 4: have to have a relationship with the media. 224 00:09:55,320 --> 00:09:56,320 Speaker 3: We have to work with them. 225 00:09:57,160 --> 00:09:59,080 Speaker 4: I would hope that they are sensitive enough and have 226 00:09:59,120 --> 00:10:01,480 Speaker 4: the eq to listen to what the public, the consumers, 227 00:10:01,800 --> 00:10:04,440 Speaker 4: the people that actually want to read them are saying, 228 00:10:04,960 --> 00:10:07,480 Speaker 4: and that they're able to bring all those journalistic skills 229 00:10:07,520 --> 00:10:09,160 Speaker 4: to be here and be able to respond to that. 230 00:10:09,640 --> 00:10:11,840 Speaker 2: I think the challenges that AI bring as well. I mean, 231 00:10:11,840 --> 00:10:14,040 Speaker 2: that's a whole new kind of realm of interest. 232 00:10:14,240 --> 00:10:16,680 Speaker 1: Very good point, Mike. I saw Mark Mitchell at Food 233 00:10:16,679 --> 00:10:19,360 Speaker 1: Stuffs this week with about twenty police officers. Can you 234 00:10:19,400 --> 00:10:21,480 Speaker 1: ask him what he was doing there? Frank, what were 235 00:10:21,480 --> 00:10:22,000 Speaker 1: you doing there? 236 00:10:22,040 --> 00:10:25,600 Speaker 3: Mark? I was getting it. I was getting a briefing. 237 00:10:25,640 --> 00:10:29,480 Speaker 4: And we're working through facial recognition because I'm a huge 238 00:10:29,480 --> 00:10:32,400 Speaker 4: fan of facial recognition. Food Stuffs have been very responsible 239 00:10:32,440 --> 00:10:34,800 Speaker 4: in the way that they've tried that. It's been really 240 00:10:34,880 --> 00:10:39,160 Speaker 4: rigorous and we're working through. In I was theater show 241 00:10:39,440 --> 00:10:41,719 Speaker 4: as a sign of support and solidarity in terms of 242 00:10:42,080 --> 00:10:43,520 Speaker 4: rolling this out. I think it's going to be very 243 00:10:43,520 --> 00:10:47,280 Speaker 4: effective around staff safety and customer safety. 244 00:10:47,320 --> 00:10:48,719 Speaker 1: Good stuff. Nice to see you too. We'll see you 245 00:10:48,800 --> 00:10:52,719 Speaker 1: next Wednesday. Jimmy Anderson, Mark Mitchell Exclusive to The Mic 246 00:10:52,760 --> 00:10:53,760 Speaker 1: Hosking Breakfast six. 247 00:10:53,640 --> 00:10:54,000 Speaker 3: What do you Do? 248 00:10:54,640 --> 00:10:57,560 Speaker 4: For more from the mic Asking Breakfast, Listen live to 249 00:10:57,679 --> 00:11:00,720 Speaker 4: news talks i'd be from six am weekday, or follow 250 00:11:00,760 --> 00:11:02,360 Speaker 4: the podcast on iHeartRadio.