1 00:00:09,093 --> 00:00:12,693 Speaker 1: You're listening to a podcast from News talks'd be follow 2 00:00:12,773 --> 00:00:16,133 Speaker 1: this and our wide range of podcasts now on iHeartRadio. 3 00:00:16,613 --> 00:00:18,293 Speaker 2: Hello you, great New Zealander, and welcome to Matt and 4 00:00:18,293 --> 00:00:20,973 Speaker 2: Tyler Full Show Podcast number one nine five for Monday, 5 00:00:21,012 --> 00:00:23,133 Speaker 2: the first of September, in the Year. 6 00:00:22,973 --> 00:00:24,653 Speaker 3: Of Our Lord, twenty twenty five. 7 00:00:25,372 --> 00:00:30,173 Speaker 2: Great show today, as always, so many fantastic calls. Later on, 8 00:00:30,373 --> 00:00:33,573 Speaker 2: things get pretty hot and heavy around what people are 9 00:00:33,573 --> 00:00:38,133 Speaker 2: getting up to in the driverlest taxis in San Francisco. Yep, 10 00:00:38,493 --> 00:00:43,852 Speaker 2: let's just say it's the ground based version of. 11 00:00:43,812 --> 00:00:44,573 Speaker 3: The My High Club. 12 00:00:44,653 --> 00:00:47,772 Speaker 4: Yeah, nicely said, it's the one foot High Club. You 13 00:00:47,772 --> 00:00:48,933 Speaker 4: can see what they did it as well. 14 00:00:49,092 --> 00:00:51,013 Speaker 2: Yeah, well, the problem is everyone can see them doing it, 15 00:00:51,452 --> 00:00:52,772 Speaker 2: so you might see why they want to do it. 16 00:00:52,812 --> 00:00:54,213 Speaker 2: But a lot of people, there's a lot of cameras 17 00:00:54,213 --> 00:00:55,932 Speaker 2: in there, a lot of stuff going on. 18 00:00:56,293 --> 00:00:57,613 Speaker 3: Yes, all right, enjoy. 19 00:00:57,373 --> 00:01:00,413 Speaker 4: The show, great show, download, subscribe, give us a review. 20 00:01:00,493 --> 00:01:01,853 Speaker 4: All that good stuff. 21 00:01:03,653 --> 00:01:05,732 Speaker 3: You see bizill let you go asking me all right, 22 00:01:05,893 --> 00:01:06,133 Speaker 3: love you. 23 00:01:07,053 --> 00:01:11,733 Speaker 1: Big stories of big issues, the big trends and everything 24 00:01:11,733 --> 00:01:15,813 Speaker 1: in between. Matt Heath and Taylor Adams Afternoons News. 25 00:01:15,572 --> 00:01:20,012 Speaker 4: Talk said, be welcome into the show really good of 26 00:01:20,013 --> 00:01:22,173 Speaker 4: your company is always on this Monday afternoon. I hope 27 00:01:22,173 --> 00:01:24,732 Speaker 4: you had a fantastic weekend whatever you did in this 28 00:01:24,773 --> 00:01:28,213 Speaker 4: beautiful country of ours. Gay man, get a tyler, get everyone. 29 00:01:28,572 --> 00:01:32,372 Speaker 2: Before we get into whether all our young trades are 30 00:01:32,373 --> 00:01:35,212 Speaker 2: two waysed to turn up to work, I just want 31 00:01:35,292 --> 00:01:37,693 Speaker 2: to look, I want to run this past you. So 32 00:01:37,773 --> 00:01:40,773 Speaker 2: as an incident with the police on the way to 33 00:01:40,813 --> 00:01:44,372 Speaker 2: work this morning. Wow, And it involved a small chase, okay, right, 34 00:01:44,613 --> 00:01:48,213 Speaker 2: and some flashing sirens fantastic and some interesting information from 35 00:01:48,213 --> 00:01:52,533 Speaker 2: the police officer. So I was driving down a one 36 00:01:52,613 --> 00:01:55,533 Speaker 2: way and then the police officer in front of me 37 00:01:55,613 --> 00:01:58,933 Speaker 2: went through the orange light, and then I followed him 38 00:01:58,973 --> 00:02:02,613 Speaker 2: through the orange light right, and then he pulled over, 39 00:02:03,893 --> 00:02:07,573 Speaker 2: and then and then followed me and said and went 40 00:02:07,773 --> 00:02:09,853 Speaker 2: to you, Tom, you know obviously the lights flashing, you 41 00:02:09,853 --> 00:02:11,573 Speaker 2: have to pull over, right, But I can't pull over 42 00:02:11,693 --> 00:02:15,213 Speaker 2: because there's so many bike lanes around there was just 43 00:02:15,253 --> 00:02:17,373 Speaker 2: nowhere to pull over for such a long way. So 44 00:02:17,493 --> 00:02:19,053 Speaker 2: moving to indicate to him, Look, I can't pull over 45 00:02:19,093 --> 00:02:19,573 Speaker 2: in the middle of the. 46 00:02:19,573 --> 00:02:21,853 Speaker 4: Road, mate, Yah, make me break two laws here. 47 00:02:21,893 --> 00:02:25,093 Speaker 2: Maybe you've sort of you've jumped the gun on what 48 00:02:25,133 --> 00:02:27,653 Speaker 2: I'm saying, here, Tyler, thank you very much, your bias 49 00:02:27,733 --> 00:02:31,613 Speaker 2: is showing. So I had to signal term that I 50 00:02:31,653 --> 00:02:33,293 Speaker 2: was going around the corner blah blah blah. And then 51 00:02:33,293 --> 00:02:34,572 Speaker 2: I was around the corner, and I still no where 52 00:02:34,573 --> 00:02:36,453 Speaker 2: to stop because there's so many bike lanes. So I 53 00:02:36,573 --> 00:02:39,173 Speaker 2: eventually found like just a driveway they could pull into 54 00:02:39,173 --> 00:02:42,692 Speaker 2: into a parking packing station. And then I get out 55 00:02:42,693 --> 00:02:44,533 Speaker 2: of the car to go and talk to the police officer, 56 00:02:44,613 --> 00:02:46,852 Speaker 2: and the police officer says, get back in your car please, 57 00:02:47,453 --> 00:02:49,573 Speaker 2: And I said, oh, okay, how come I thought you're 58 00:02:49,573 --> 00:02:51,573 Speaker 2: supposed to get out of your car because in my 59 00:02:51,653 --> 00:02:53,173 Speaker 2: life I've always been told you get out. 60 00:02:53,013 --> 00:02:55,933 Speaker 3: Of the car. Yea, because you know it's polite. 61 00:02:55,972 --> 00:02:57,453 Speaker 2: The police officer pull the over, you get out of 62 00:02:57,493 --> 00:02:59,453 Speaker 2: the car, they get out, and you meet them, than 63 00:02:59,453 --> 00:03:01,693 Speaker 2: making them come over. He goes for my safety, I 64 00:03:01,733 --> 00:03:03,093 Speaker 2: need you back in the car. Is that I didn't 65 00:03:03,093 --> 00:03:05,293 Speaker 2: know that was a new thing. Wow, Okay, yeah, but 66 00:03:05,333 --> 00:03:06,733 Speaker 2: I mean whatever he wants, if he wants me in 67 00:03:06,733 --> 00:03:08,213 Speaker 2: the car or not. I think in the States, the 68 00:03:08,333 --> 00:03:10,053 Speaker 2: plast definitely don't want you in the car because you 69 00:03:10,053 --> 00:03:10,532 Speaker 2: could have a. 70 00:03:10,453 --> 00:03:11,013 Speaker 3: Weapon, right. 71 00:03:11,133 --> 00:03:13,333 Speaker 4: Yeah, So I. 72 00:03:12,573 --> 00:03:14,293 Speaker 2: Always thought the plight thing in New Zealand was that 73 00:03:14,373 --> 00:03:16,213 Speaker 2: you get out of the car and then you go 74 00:03:16,293 --> 00:03:19,373 Speaker 2: over He was, he's only at a British accident. Maybe 75 00:03:19,373 --> 00:03:21,053 Speaker 2: you had done police work in England it was a 76 00:03:21,093 --> 00:03:23,692 Speaker 2: different thing. But I'd like to hear the answer on 77 00:03:23,773 --> 00:03:25,093 Speaker 2: that whether you're supposed to get out of your car. 78 00:03:25,133 --> 00:03:26,573 Speaker 2: And I always do it out of you know. 79 00:03:26,573 --> 00:03:28,493 Speaker 3: In a few times being pulled outut of politeness. 80 00:03:28,573 --> 00:03:29,013 Speaker 4: Right yep. 81 00:03:29,413 --> 00:03:31,012 Speaker 2: So anyway, time to get back in this car, in 82 00:03:31,133 --> 00:03:33,412 Speaker 2: my car and he said, do you know what you 83 00:03:33,493 --> 00:03:35,373 Speaker 2: did wrong? And I said no, and he goes, you 84 00:03:35,453 --> 00:03:37,573 Speaker 2: went through an orange light and I said, well, you 85 00:03:37,653 --> 00:03:40,133 Speaker 2: can go through orange lights. You went through, so I 86 00:03:40,213 --> 00:03:41,533 Speaker 2: just followed you through and he said yeah, but I 87 00:03:41,613 --> 00:03:43,613 Speaker 2: went through the orange light first. By the time you 88 00:03:43,693 --> 00:03:46,693 Speaker 2: went through the orange light, it was you had time 89 00:03:46,733 --> 00:03:51,373 Speaker 2: to stop. And I was like, oh, really that's okay. 90 00:03:51,653 --> 00:03:54,013 Speaker 2: But I'm just going through an orange light. It's a 91 00:03:54,293 --> 00:03:57,373 Speaker 2: very very marginal call, I would say. And look, I 92 00:03:57,493 --> 00:03:59,573 Speaker 2: love the police and I think they do a fantastic job. 93 00:03:59,693 --> 00:03:59,933 Speaker 4: They do. 94 00:04:00,573 --> 00:04:02,373 Speaker 3: Bless them you put on you you do a very 95 00:04:02,413 --> 00:04:05,933 Speaker 3: tough job. But my immediate thought was, am I the 96 00:04:06,053 --> 00:04:08,293 Speaker 3: person that you really need to be going around paying 97 00:04:08,613 --> 00:04:11,613 Speaker 3: for this situation just going through an orange light. 98 00:04:12,013 --> 00:04:14,452 Speaker 4: Was there any stage so you're going through the orange light, 99 00:04:15,013 --> 00:04:17,413 Speaker 4: Was it any stage when you were on the intersection 100 00:04:17,773 --> 00:04:20,813 Speaker 4: that it flipped red? No, So there was plenty of 101 00:04:20,853 --> 00:04:21,493 Speaker 4: green left in that. 102 00:04:21,653 --> 00:04:24,053 Speaker 2: So we all know that the rule is that you 103 00:04:24,253 --> 00:04:26,613 Speaker 2: go through an orange light if you can't stop in time. Yes, 104 00:04:26,973 --> 00:04:29,533 Speaker 2: but you've got to say pedantic. He's just gone through. 105 00:04:29,813 --> 00:04:35,213 Speaker 2: I am probably you know, two seconds behind him, one two, 106 00:04:35,653 --> 00:04:38,693 Speaker 2: and we're driving at forty k because that's the speed 107 00:04:38,733 --> 00:04:43,173 Speaker 2: limit down there, right. I just the big, big scheme 108 00:04:43,253 --> 00:04:45,093 Speaker 2: of the problems that are happening in the world. Person 109 00:04:45,293 --> 00:04:47,533 Speaker 2: following you through an orange light when it was the 110 00:04:47,613 --> 00:04:49,893 Speaker 2: right for you to be through the orange light and 111 00:04:50,013 --> 00:04:52,613 Speaker 2: with all orange the whole time is really but you know. 112 00:04:53,213 --> 00:04:55,093 Speaker 4: It feels like a margin call. Feels like a real 113 00:04:55,173 --> 00:04:56,733 Speaker 4: margin call. Was what was the fine? 114 00:04:56,813 --> 00:04:57,613 Speaker 3: I don't know, I haven't seen it. 115 00:04:57,853 --> 00:05:01,533 Speaker 2: Yeah, right, but we had and that's a dramatic he was. 116 00:05:01,613 --> 00:05:03,892 Speaker 2: It was pleasant enough, Yeah, but it's interesting being followed 117 00:05:03,933 --> 00:05:06,053 Speaker 2: by a cop with the lights flashing. 118 00:05:06,213 --> 00:05:08,613 Speaker 4: That is terrifying, saying I can't bull over, but there's 119 00:05:08,653 --> 00:05:11,453 Speaker 4: nowhere and you've got this guy going, I can't. 120 00:05:11,333 --> 00:05:12,893 Speaker 2: Just pull over in the middle of a stream of 121 00:05:12,973 --> 00:05:15,533 Speaker 2: traffic because then you're going to give me another bloody ticket. 122 00:05:15,613 --> 00:05:16,493 Speaker 4: Did he say anything about that? 123 00:05:16,533 --> 00:05:18,893 Speaker 3: So it was probably three four hundred meters before I 124 00:05:18,933 --> 00:05:19,853 Speaker 3: could find somebody to stop. 125 00:05:20,373 --> 00:05:22,653 Speaker 4: What a morning for you, mate, What a morning. But 126 00:05:22,773 --> 00:05:25,693 Speaker 4: if you think that was fear nine two nine two, 127 00:05:25,813 --> 00:05:26,973 Speaker 4: or if you think it was a bit march this. 128 00:05:27,053 --> 00:05:28,813 Speaker 3: Person, this text annoys me. You're wrong. 129 00:05:28,853 --> 00:05:30,413 Speaker 2: One hundred percent of the states. You have to stay 130 00:05:30,413 --> 00:05:32,453 Speaker 2: in the car. You'll be shot if you get out. 131 00:05:32,493 --> 00:05:34,893 Speaker 2: That's exactly what I said. Don't text me and tell 132 00:05:34,973 --> 00:05:35,573 Speaker 2: me what I said. 133 00:05:35,693 --> 00:05:39,813 Speaker 3: What's wrong? I've done drive rounds for documentaries and US cars. 134 00:05:40,013 --> 00:05:42,053 Speaker 4: Yeah, yeah, you have so been there. 135 00:05:42,173 --> 00:05:43,533 Speaker 2: You stay in the car and then they get you 136 00:05:43,613 --> 00:05:45,053 Speaker 2: out of the car. Yeah, I've been involved in. 137 00:05:45,093 --> 00:05:47,413 Speaker 4: It, right, Yeah, But when I just would have thought 138 00:05:47,413 --> 00:05:47,813 Speaker 4: it's polite. 139 00:05:47,933 --> 00:05:49,733 Speaker 3: Yeah, in New Zealand, you get out of the car. Yeah, 140 00:05:49,933 --> 00:05:50,333 Speaker 3: it's the key. 141 00:05:50,413 --> 00:05:52,413 Speaker 4: We wait or is it nine two nine two? 142 00:05:52,773 --> 00:05:54,733 Speaker 3: In America they touch the back and they come around 143 00:05:54,893 --> 00:05:57,533 Speaker 3: and they go get out of the car. That's right. Yeah, yeah, 144 00:05:57,573 --> 00:05:58,573 Speaker 3: you keep your hands down. 145 00:05:58,573 --> 00:06:00,893 Speaker 4: Hands on the steering wheel, you do what they tell 146 00:06:00,933 --> 00:06:03,013 Speaker 4: you to do. Absolutely, you two, but that is a 147 00:06:03,093 --> 00:06:05,293 Speaker 4: dramatic morning for your mate. And we'll hear on what 148 00:06:05,413 --> 00:06:08,453 Speaker 4: that fine was eventually, right on to today's show, off 149 00:06:08,493 --> 00:06:11,453 Speaker 4: to three o'clock Father's Day. What is the ultimate father's gift? 150 00:06:11,533 --> 00:06:14,413 Speaker 4: We know Sunday Father's Day, So we want to hear 151 00:06:14,453 --> 00:06:16,573 Speaker 4: from you. What do you want on Dad's Day? 152 00:06:17,173 --> 00:06:19,613 Speaker 2: Yeah, so what I want in Dad's Day? And I 153 00:06:19,693 --> 00:06:21,733 Speaker 2: think this is true of all fathers. We don't want 154 00:06:21,733 --> 00:06:26,213 Speaker 2: to fuss. It's not a big song and dance. We 155 00:06:26,333 --> 00:06:28,653 Speaker 2: maybe want a bit of breakfast. Maybe tell us that 156 00:06:29,253 --> 00:06:31,493 Speaker 2: you love us and let us be us for the day. Yep, 157 00:06:31,733 --> 00:06:32,413 Speaker 2: just let us go. 158 00:06:33,053 --> 00:06:37,213 Speaker 3: Let us be golf with friends, go to the pub 159 00:06:37,253 --> 00:06:37,653 Speaker 3: with friends. 160 00:06:37,693 --> 00:06:39,613 Speaker 4: Sounds pretty good kind of in a way. 161 00:06:39,853 --> 00:06:41,373 Speaker 3: Let us be not a dad for a day. 162 00:06:41,613 --> 00:06:44,373 Speaker 4: Just have a day completely to yourself outside of the family. Yes, 163 00:06:44,533 --> 00:06:45,373 Speaker 4: we love your lots. 164 00:06:45,493 --> 00:06:47,773 Speaker 3: Just do whatever you want the other day. That's what 165 00:06:47,893 --> 00:06:48,933 Speaker 3: fathers want for Father's Day. 166 00:06:48,933 --> 00:06:50,933 Speaker 2: There's twenty five things on this list that's come through 167 00:06:50,973 --> 00:06:52,373 Speaker 2: in this article, and I can't think of a see 168 00:06:52,413 --> 00:06:55,493 Speaker 2: a single thing that I can manage imagine any father wanting. 169 00:06:55,813 --> 00:06:57,733 Speaker 4: Yeah, a lot of those were just just gag gifts. 170 00:06:57,773 --> 00:06:58,893 Speaker 4: Weren't they just let me be? 171 00:06:59,093 --> 00:06:59,293 Speaker 5: Yeah? 172 00:06:59,373 --> 00:07:01,333 Speaker 4: That is after three o'clock looking forward to that. After 173 00:07:01,373 --> 00:07:04,213 Speaker 4: two o'clock, Tesla has outlined the New Zealand introduction of 174 00:07:04,293 --> 00:07:09,133 Speaker 4: its flagship semi auto autonomous rather driving where they call 175 00:07:09,213 --> 00:07:13,413 Speaker 4: it full self driving supervised and it's been launched in 176 00:07:13,453 --> 00:07:15,853 Speaker 4: the US for about five years now. So Tesla self 177 00:07:15,933 --> 00:07:20,053 Speaker 4: driving technology will be rolled out incredibly soon. They just 178 00:07:20,133 --> 00:07:22,893 Speaker 4: haven't given an exact date, but it is coming fast 179 00:07:23,053 --> 00:07:24,693 Speaker 4: and anybody who has a Tesla will be able to 180 00:07:24,773 --> 00:07:27,573 Speaker 4: purchase that software. So this is going to be interesting, 181 00:07:27,693 --> 00:07:30,333 Speaker 4: the days of self driving cars coming to New Zealand. 182 00:07:30,413 --> 00:07:31,733 Speaker 4: What does that mean, Well, what it. 183 00:07:31,813 --> 00:07:34,813 Speaker 2: Means is very very soon there will be self driving 184 00:07:34,893 --> 00:07:37,493 Speaker 2: taxis more than likely we'll take a law change, but 185 00:07:38,933 --> 00:07:40,773 Speaker 2: very very soon you'll just be able to get into 186 00:07:40,813 --> 00:07:43,493 Speaker 2: the car. You look over Night Ride of Style, Michael 187 00:07:43,533 --> 00:07:45,813 Speaker 2: Knight situation kit situation, there's. 188 00:07:45,653 --> 00:07:46,413 Speaker 3: No one driving the car. 189 00:07:46,573 --> 00:07:48,093 Speaker 4: Love it exciting, bring it on? 190 00:07:48,453 --> 00:07:50,533 Speaker 2: But what does that mean for our economy? Yeah, you know, 191 00:07:50,693 --> 00:07:52,253 Speaker 2: there's a lot of people that make their money driving 192 00:07:52,293 --> 00:07:52,853 Speaker 2: in this country. 193 00:07:53,453 --> 00:07:55,533 Speaker 4: That is after two o'clock, because right now, let's have 194 00:07:55,813 --> 00:07:58,133 Speaker 4: a chat about trying to find good staff who aren't 195 00:07:58,133 --> 00:08:00,693 Speaker 4: on the drink or other drugs on a weekend. So 196 00:08:00,813 --> 00:08:03,173 Speaker 4: a tradeing boss, he has claimed that drugs and alcohol 197 00:08:03,253 --> 00:08:06,213 Speaker 4: are the reason he can't find good staff despite offering 198 00:08:06,253 --> 00:08:08,453 Speaker 4: good pay. His name is Chris read It, which he 199 00:08:08,573 --> 00:08:11,413 Speaker 4: runs which create a concreting business, and he sees one 200 00:08:11,413 --> 00:08:13,813 Speaker 4: of the biggest challenges right now of running his business 201 00:08:14,173 --> 00:08:17,733 Speaker 4: is finding reliable workers. To quote him, he said, they 202 00:08:17,813 --> 00:08:19,813 Speaker 4: all like getting on the piss and the booger sugar 203 00:08:20,013 --> 00:08:22,893 Speaker 4: and certain things like that. I'm offering good money, but 204 00:08:22,973 --> 00:08:25,813 Speaker 4: I'm really struggling to find reliable guys. I'm not too 205 00:08:25,933 --> 00:08:28,333 Speaker 4: fussed about who the person is, as long as they 206 00:08:28,453 --> 00:08:30,813 Speaker 4: work hard and they don't turn up on a Monday 207 00:08:30,853 --> 00:08:31,613 Speaker 4: morning half cut. 208 00:08:32,493 --> 00:08:34,893 Speaker 3: The term boger sugar is a red flag. 209 00:08:36,013 --> 00:08:37,133 Speaker 4: A hell of a turn a phrase. 210 00:08:37,453 --> 00:08:40,612 Speaker 3: Yeah, so is this true? Is this true that we 211 00:08:40,693 --> 00:08:43,532 Speaker 3: can't find anyone that doesn't wasted or boozed up to 212 00:08:44,413 --> 00:08:45,213 Speaker 3: work for you? 213 00:08:45,372 --> 00:08:46,933 Speaker 2: Because I see a lot of people out and about. 214 00:08:47,053 --> 00:08:48,732 Speaker 2: I see a lot of people driving to work. I 215 00:08:48,773 --> 00:08:50,052 Speaker 2: see a lot of people in vans, I see a 216 00:08:50,093 --> 00:08:51,612 Speaker 2: lot of people in UT's a lot of young people 217 00:08:52,012 --> 00:08:52,573 Speaker 2: that seem to be. 218 00:08:52,653 --> 00:08:54,053 Speaker 3: Working very very hard. 219 00:08:54,653 --> 00:08:58,693 Speaker 2: But are you struggling to find people that are up 220 00:08:58,773 --> 00:09:02,173 Speaker 2: to the task, are sober enough a drug free enough 221 00:09:02,213 --> 00:09:03,252 Speaker 2: to do the job you want them to do? 222 00:09:03,492 --> 00:09:07,213 Speaker 3: Yeah? And are you testing your employees? You know, are you? 223 00:09:07,612 --> 00:09:09,573 Speaker 3: I mean they'll be interesting thing. And a small crew, 224 00:09:09,773 --> 00:09:12,693 Speaker 3: you know, small a small builder's crew. 225 00:09:12,973 --> 00:09:16,213 Speaker 4: Yeah, to be test drug testing them, wouldn't it particularly 226 00:09:16,252 --> 00:09:16,693 Speaker 4: on a Monday? 227 00:09:16,732 --> 00:09:16,892 Speaker 6: Yeah? 228 00:09:16,892 --> 00:09:18,652 Speaker 4: Oh, eight, one hundred and eighty ten eighty is the 229 00:09:18,773 --> 00:09:21,052 Speaker 4: number to call if you are a tredee? Is this 230 00:09:21,213 --> 00:09:24,013 Speaker 4: a true statement? At the moment, trying to find reliable workers? 231 00:09:24,053 --> 00:09:25,932 Speaker 4: Love to hear from you. Nine to niney two is 232 00:09:25,973 --> 00:09:29,052 Speaker 4: the text number. It is quarter past one. 233 00:09:30,813 --> 00:09:32,172 Speaker 3: These people. If you get out of the car, the 234 00:09:32,213 --> 00:09:34,573 Speaker 3: police then think you're trying to hide something within the car. 235 00:09:34,693 --> 00:09:36,252 Speaker 2: No, it's just polite to get out of the car. 236 00:09:36,333 --> 00:09:37,892 Speaker 2: And if the policeman tells you to get back in 237 00:09:37,933 --> 00:09:40,012 Speaker 2: the car, you do what they say. You do it absolutely, 238 00:09:40,372 --> 00:09:41,493 Speaker 2: But my whole life, you. 239 00:09:41,573 --> 00:09:42,213 Speaker 3: Get out of the car. 240 00:09:42,413 --> 00:09:44,573 Speaker 2: Yeah, and you stand by it so you can talk 241 00:09:44,612 --> 00:09:45,933 Speaker 2: to them, so they don't have to come over into 242 00:09:45,973 --> 00:09:47,453 Speaker 2: your space and lean into your window. 243 00:09:47,573 --> 00:09:48,852 Speaker 4: I just thought it was a key we thing that 244 00:09:49,132 --> 00:09:51,013 Speaker 4: you know, yeah, you just get out as a polite 245 00:09:51,012 --> 00:09:53,732 Speaker 4: thing to do. But nine two, nine two, it is 246 00:09:53,933 --> 00:09:56,012 Speaker 4: quarter past one. Beg very surely you're listening to Matt 247 00:09:56,053 --> 00:09:56,612 Speaker 4: and Tyler. 248 00:09:57,533 --> 00:10:00,932 Speaker 1: The big stories, the big issues, the big trends and 249 00:10:01,293 --> 00:10:05,093 Speaker 1: everything in between. Matt Heath and Tyler Adams afternoons used 250 00:10:05,093 --> 00:10:06,213 Speaker 1: talks they'd be and. 251 00:10:06,293 --> 00:10:07,412 Speaker 4: It is eighteen past one. 252 00:10:07,453 --> 00:10:09,333 Speaker 2: There's a lot of people getting off topic here and 253 00:10:09,453 --> 00:10:12,653 Speaker 2: talking about the ticket I got for going through an 254 00:10:12,653 --> 00:10:13,252 Speaker 2: orange line. 255 00:10:13,372 --> 00:10:15,853 Speaker 3: I've come through. And there's a problem that we have in. 256 00:10:15,933 --> 00:10:18,652 Speaker 2: Society these day was people imagine things and then tell 257 00:10:18,693 --> 00:10:20,293 Speaker 2: you from their imagination what happened. 258 00:10:20,293 --> 00:10:22,292 Speaker 3: I was there, I know what happened. But this is interesting. 259 00:10:22,372 --> 00:10:24,532 Speaker 2: As a police officer, I prefer that drivers stay in 260 00:10:24,653 --> 00:10:26,813 Speaker 2: the car. That way, they're more confined and I have 261 00:10:26,973 --> 00:10:31,052 Speaker 2: room to move. So that's that's changed because there's a 262 00:10:31,093 --> 00:10:34,612 Speaker 2: few police officers. So if you've you know what I've 263 00:10:34,653 --> 00:10:36,852 Speaker 2: been taught is wrong now. I think police officers want 264 00:10:36,852 --> 00:10:39,093 Speaker 2: you to stay in the car. So I was always 265 00:10:39,173 --> 00:10:41,213 Speaker 2: told by my dad when I was learning to drive, 266 00:10:41,732 --> 00:10:43,612 Speaker 2: and I've sent a lot as you when you pull 267 00:10:43,693 --> 00:10:45,333 Speaker 2: over out of polight and as you get up, you 268 00:10:45,413 --> 00:10:46,852 Speaker 2: close your door, and you stand by the car and 269 00:10:46,892 --> 00:10:48,373 Speaker 2: wait for them to come over and talk to you. Yeah, 270 00:10:48,413 --> 00:10:50,573 Speaker 2: so you're sort of talking to them on even terms 271 00:10:50,653 --> 00:10:52,813 Speaker 2: rather than having to lean into your car, that's right, 272 00:10:52,852 --> 00:10:54,132 Speaker 2: which seems just a bit rude. 273 00:10:54,213 --> 00:10:54,333 Speaker 7: Right. 274 00:10:54,453 --> 00:10:56,573 Speaker 4: It was treating them with respect, right, that was the 275 00:10:56,573 --> 00:10:58,333 Speaker 4: whole element. And I've always done it as well, So 276 00:10:58,413 --> 00:11:00,652 Speaker 4: maybe it wasn't a thing that the times I have 277 00:11:00,773 --> 00:11:03,772 Speaker 4: been stopped is I'm the first one to jump out. 278 00:11:04,012 --> 00:11:06,093 Speaker 2: Yes, I mean, you don't jump out and run at 279 00:11:06,132 --> 00:11:08,252 Speaker 2: the more you start your stating. You just jump out, 280 00:11:08,653 --> 00:11:10,813 Speaker 2: close the door, and politely wait for them to come over. 281 00:11:10,813 --> 00:11:12,693 Speaker 4: Trying to make their job easier. That was the thinking 282 00:11:12,773 --> 00:11:14,773 Speaker 4: behind it. Yeah, so they don't have to come up 283 00:11:14,813 --> 00:11:18,492 Speaker 4: like some sort of serviant and yeah lean in until 284 00:11:18,492 --> 00:11:19,333 Speaker 4: you to wind down the window. 285 00:11:19,372 --> 00:11:20,852 Speaker 3: Knock on the window and you wind down the window. 286 00:11:21,372 --> 00:11:24,213 Speaker 2: US officer. But apparently that's changed. Yeah, fascinating, So now 287 00:11:24,252 --> 00:11:25,973 Speaker 2: I know. Yeah, so I'll just wait in my car, 288 00:11:26,173 --> 00:11:29,172 Speaker 2: rudely and politely wait in my car and make them 289 00:11:29,213 --> 00:11:31,333 Speaker 2: come over and bend over and do all the work 290 00:11:31,372 --> 00:11:31,813 Speaker 2: for the chat. 291 00:11:31,892 --> 00:11:34,213 Speaker 4: Yeah, don't say you don't learn anything on this show. 292 00:11:34,813 --> 00:11:34,973 Speaker 8: Right. 293 00:11:35,252 --> 00:11:37,372 Speaker 4: We are also getting a lot of techs about this 294 00:11:37,492 --> 00:11:40,652 Speaker 4: trading who says that drugs and alcohol are the reason 295 00:11:40,732 --> 00:11:43,573 Speaker 4: he can't find staff despite offering some really good pay. 296 00:11:44,173 --> 00:11:45,772 Speaker 4: He said the biggest challenge for him at the moment 297 00:11:45,852 --> 00:11:49,653 Speaker 4: running his concrete business is finding reliable workers. To quote him, 298 00:11:49,653 --> 00:11:51,333 Speaker 4: he says they all like getting on the drink on 299 00:11:51,372 --> 00:11:54,652 Speaker 4: the weekend and other drugs as well, certain things like that. 300 00:11:54,773 --> 00:11:57,653 Speaker 4: He calls it booger sugar, which is a fantastic turn 301 00:11:57,693 --> 00:12:00,333 Speaker 4: of phrase. But is this true? Are you finding it 302 00:12:00,492 --> 00:12:03,573 Speaker 4: in the trades at the moment that reliable workers are 303 00:12:03,653 --> 00:12:05,772 Speaker 4: hard to find because they might not turn up on 304 00:12:05,852 --> 00:12:08,772 Speaker 4: a Monday, they take off of Friday. And if you 305 00:12:08,852 --> 00:12:11,333 Speaker 4: drug test them nine times out of ten, you have 306 00:12:11,413 --> 00:12:12,532 Speaker 4: to stand one of your guys down. 307 00:12:12,773 --> 00:12:14,893 Speaker 2: Weed is an issue. It's in the blood for thirty days, 308 00:12:14,933 --> 00:12:17,213 Speaker 2: but doesn't mean they had it at work. It's not 309 00:12:17,372 --> 00:12:21,813 Speaker 2: my issue when someone does what's that k and a 310 00:12:22,453 --> 00:12:25,173 Speaker 2: Friday night, but it comes up in random tests. 311 00:12:25,293 --> 00:12:26,172 Speaker 3: Yeah, that's from l. 312 00:12:26,573 --> 00:12:27,973 Speaker 4: I mean that is the big one when it comes 313 00:12:28,012 --> 00:12:31,413 Speaker 4: to cannabis. As we know, the drug testing it used 314 00:12:31,453 --> 00:12:33,093 Speaker 4: to be and if you are a drug testory, you 315 00:12:33,173 --> 00:12:34,532 Speaker 4: do it in your workplace. Love to hear from you 316 00:12:34,573 --> 00:12:35,973 Speaker 4: on oh, one hundred and eighty ten eighty, but it 317 00:12:36,012 --> 00:12:38,653 Speaker 4: stays in your system for some time, but whether you're 318 00:12:38,773 --> 00:12:39,773 Speaker 4: still inebriated. 319 00:12:40,012 --> 00:12:41,253 Speaker 3: Oh, that's the kidemene. 320 00:12:41,573 --> 00:12:46,093 Speaker 4: Ah, that's the key, right, Yeah, And this one here 321 00:12:46,173 --> 00:12:51,213 Speaker 4: says guys, when I was drug testing, we would test 322 00:12:51,293 --> 00:12:55,293 Speaker 4: a well known truck company monthly, randomly at different locations 323 00:12:55,732 --> 00:13:00,772 Speaker 4: around the country. Without a doubt there would be someone 324 00:13:00,933 --> 00:13:04,532 Speaker 4: who would come up with a unclean test and have 325 00:13:04,653 --> 00:13:07,732 Speaker 4: to be stood down. Essential for people to do it 326 00:13:07,813 --> 00:13:09,893 Speaker 4: on a regular if you work in the likes of trucking. 327 00:13:11,053 --> 00:13:13,372 Speaker 4: Oh wait, one hundred eighty ten eighty is the number 328 00:13:13,453 --> 00:13:15,733 Speaker 4: to call. Plenty of texts coming through on this one. 329 00:13:16,012 --> 00:13:17,973 Speaker 2: Never mind the booze and drugs. How about the adult 330 00:13:18,053 --> 00:13:20,372 Speaker 2: gamers that are up until three am most mornings, then 331 00:13:20,453 --> 00:13:23,612 Speaker 2: come to work tired, unfocused, yawning, and effective, claiming this 332 00:13:23,773 --> 00:13:25,613 Speaker 2: is their personal time and as none of your business. 333 00:13:26,213 --> 00:13:28,293 Speaker 2: This is way more dangerous than a hangover. That's an 334 00:13:28,333 --> 00:13:31,053 Speaker 2: interesting point, isn't it. If you're incredibly tired at work, 335 00:13:31,612 --> 00:13:34,213 Speaker 2: and you know, there's been studies about driving tired being 336 00:13:34,492 --> 00:13:37,172 Speaker 2: you know, akin to driving drunk, definitely, especially if you 337 00:13:37,213 --> 00:13:40,132 Speaker 2: fall asleep. But if safety is an issue at work, 338 00:13:40,132 --> 00:13:42,693 Speaker 2: and you're staying up all night gaming and then you're 339 00:13:42,813 --> 00:13:47,012 Speaker 2: nodding off behind the wheel of whatever thing you're driving, 340 00:13:47,093 --> 00:13:51,413 Speaker 2: or whatever you're doing, or whatever you know, dangerous tool 341 00:13:51,492 --> 00:13:54,613 Speaker 2: you're operating. Yeah, then that's a huge problem, is absolutely. 342 00:13:54,653 --> 00:13:55,853 Speaker 2: But how do you test for tiredness? 343 00:13:56,012 --> 00:13:56,213 Speaker 8: Yeah? 344 00:13:56,333 --> 00:13:58,453 Speaker 4: Good point. I eight hundred eighty ten eighty. If you've 345 00:13:58,492 --> 00:14:00,453 Speaker 4: got young guys who are fatigued because they're up all 346 00:14:00,533 --> 00:14:03,093 Speaker 4: night gaming, but also on the drug and alcohol side 347 00:14:03,093 --> 00:14:05,213 Speaker 4: of things, are you like this trader? You just can't 348 00:14:05,252 --> 00:14:08,252 Speaker 4: find reliable workers anymore because they don't turn up on 349 00:14:08,413 --> 00:14:10,253 Speaker 4: Monday because I've had too much to drink on the weekend. 350 00:14:10,372 --> 00:14:12,253 Speaker 4: Really can never check with you. Oh, eight hundred eighty 351 00:14:12,333 --> 00:14:14,973 Speaker 4: ten eighty is the number to call. It is twenty 352 00:14:15,053 --> 00:14:15,732 Speaker 4: two past one. 353 00:14:16,813 --> 00:14:19,733 Speaker 1: Putting the tough questions to the news speakers, the mic 354 00:14:19,813 --> 00:14:21,013 Speaker 1: asking breakfast. 355 00:14:20,693 --> 00:14:23,173 Speaker 3: Rist Lux is with us? Now I ask you one 356 00:14:23,253 --> 00:14:27,173 Speaker 3: more time. God, this is foreign biased. It is foreign biased. 357 00:14:27,413 --> 00:14:30,173 Speaker 3: Is today the day we are very close to Mike 358 00:14:30,333 --> 00:14:33,172 Speaker 3: Win eminently before we meet next time within a week. 359 00:14:33,253 --> 00:14:35,052 Speaker 3: So this week it could well be you're about to 360 00:14:35,053 --> 00:14:38,093 Speaker 3: put me up against a waller. Just no, I'm just 361 00:14:38,093 --> 00:14:39,093 Speaker 3: sick of asking the question. 362 00:14:40,693 --> 00:14:41,773 Speaker 1: I'm want to get it. 363 00:14:42,133 --> 00:14:43,933 Speaker 3: I just the reason I asked the question, one more 364 00:14:43,933 --> 00:14:44,292 Speaker 3: week of this? 365 00:14:44,413 --> 00:14:45,853 Speaker 9: Well, it can't be one more week because he said 366 00:14:45,853 --> 00:14:49,493 Speaker 9: it's this week exactly, So it is this week. I 367 00:14:49,613 --> 00:14:51,853 Speaker 9: want this country up and running and pulling every level 368 00:14:51,933 --> 00:14:53,413 Speaker 9: we can to make exactly easy. 369 00:14:53,213 --> 00:14:53,733 Speaker 1: To do business. 370 00:14:54,293 --> 00:14:56,532 Speaker 9: I'm going to be back tomorrow at six am the 371 00:14:56,653 --> 00:14:59,412 Speaker 9: Mic Hosking Breakfast with a Vida News Talk. 372 00:14:59,373 --> 00:15:02,173 Speaker 4: Z B afternoon twenty five past one. 373 00:15:02,333 --> 00:15:04,293 Speaker 3: This is an amusing text, Matt, did you just need 374 00:15:04,333 --> 00:15:06,813 Speaker 3: to clarify that driving while you're asleep is dangerous? Do 375 00:15:06,933 --> 00:15:09,172 Speaker 3: you have the stats to prove this? I know. 376 00:15:09,253 --> 00:15:13,613 Speaker 2: What I was saying was that there are some studies 377 00:15:13,653 --> 00:15:20,413 Speaker 2: that say driving when you're tired and drowsy is up 378 00:15:20,453 --> 00:15:21,333 Speaker 2: there with driving drunk. 379 00:15:21,413 --> 00:15:21,613 Speaker 6: Yeah. 380 00:15:21,653 --> 00:15:23,973 Speaker 3: You know, if you're sober or drunk and you're asleep 381 00:15:24,013 --> 00:15:24,973 Speaker 3: at the will bad. 382 00:15:25,133 --> 00:15:25,333 Speaker 10: Yeah. 383 00:15:25,613 --> 00:15:29,133 Speaker 3: Yeah, driving driving asleep is bad no matter what, one. 384 00:15:29,133 --> 00:15:31,573 Speaker 4: Hundred percent And just having a look at that research. 385 00:15:31,653 --> 00:15:35,093 Speaker 4: So this is from Harvard. Insufficient prior sleep to drive 386 00:15:35,133 --> 00:15:37,172 Speaker 4: in such as four to five hours of sleep can 387 00:15:37,293 --> 00:15:40,013 Speaker 4: double the crash risk compared to a well rested individual. 388 00:15:40,093 --> 00:15:43,613 Speaker 4: That's massive doubling your risk of crash. Yeah, for having 389 00:15:43,653 --> 00:15:45,293 Speaker 4: four to five hours before so bang on. 390 00:15:45,373 --> 00:15:46,613 Speaker 3: Yeah you go, so that you know that. 391 00:15:47,053 --> 00:15:50,093 Speaker 2: Further to the point of the employer who said that 392 00:15:50,453 --> 00:15:53,413 Speaker 2: his work is turning up after gam until three thirty am, 393 00:15:53,893 --> 00:15:56,333 Speaker 2: is the real problem with him, not them turning up 394 00:15:56,373 --> 00:15:58,213 Speaker 2: drunk or drugged up. 395 00:15:58,333 --> 00:15:59,533 Speaker 3: Craig, welcome the show. 396 00:16:00,973 --> 00:16:04,773 Speaker 11: Yeah, hey, guys, as usual, you raised another important issue. 397 00:16:06,653 --> 00:16:10,093 Speaker 11: I've been in construction for over forty years and I've 398 00:16:10,293 --> 00:16:12,932 Speaker 11: seen things change quite dramatically in the last sort of 399 00:16:13,093 --> 00:16:18,133 Speaker 11: probably ten years. But I would like to clarify something 400 00:16:18,133 --> 00:16:21,172 Speaker 11: a little bit. So with guys that have drugged on 401 00:16:21,213 --> 00:16:23,733 Speaker 11: the weekend, if they're smoking weheed or doing whatever they're doing, 402 00:16:25,253 --> 00:16:26,853 Speaker 11: but most of them, by the time they sort of 403 00:16:26,893 --> 00:16:28,693 Speaker 11: turn up to work on a Monday, aren't too bad. 404 00:16:28,813 --> 00:16:32,813 Speaker 11: It's the guys who are drinking boothe and then turn 405 00:16:32,893 --> 00:16:36,693 Speaker 11: out to work and they hangover. They are more of 406 00:16:36,733 --> 00:16:39,412 Speaker 11: an issue than the guys who maybe smoke wheed on 407 00:16:39,453 --> 00:16:43,573 Speaker 11: the weekend, even though it might even though obviously marijuana 408 00:16:43,653 --> 00:16:46,932 Speaker 11: or sharpen they are any tests that you're doing or 409 00:16:47,013 --> 00:16:50,413 Speaker 11: drug tests. But I'd rather work with a guy who 410 00:16:50,533 --> 00:16:52,773 Speaker 11: smoked wheed all night than a guy who drank all night, 411 00:16:54,493 --> 00:16:58,013 Speaker 11: you know, like the there's a real difference in sort 412 00:16:58,053 --> 00:17:02,533 Speaker 11: of their ability to work and how safe they are 413 00:17:02,653 --> 00:17:03,013 Speaker 11: to work with. 414 00:17:04,933 --> 00:17:05,133 Speaker 3: Yees. 415 00:17:05,413 --> 00:17:08,853 Speaker 2: So if you have if you smoke marijuana, say twenty 416 00:17:08,893 --> 00:17:12,132 Speaker 2: four hours before, is there eventually to know how much 417 00:17:12,173 --> 00:17:13,893 Speaker 2: impediment because it stays in your system for quite a 418 00:17:13,933 --> 00:17:14,693 Speaker 2: long time, doesn't it. 419 00:17:15,253 --> 00:17:17,453 Speaker 3: But yeah, but the impairment's probably gone. 420 00:17:18,733 --> 00:17:20,933 Speaker 11: Yeah, it apparently it stays in your and the fat 421 00:17:21,053 --> 00:17:22,733 Speaker 11: in your body or something, And so that's sort of 422 00:17:22,773 --> 00:17:27,333 Speaker 11: why that story shows up. But the experience I've had 423 00:17:27,453 --> 00:17:29,373 Speaker 11: is really the last few years, it's PA is the 424 00:17:29,413 --> 00:17:32,973 Speaker 11: bigger issue, right, you know, that's where you get guys 425 00:17:33,013 --> 00:17:35,453 Speaker 11: who haven't been asleep all night, they've been playing PlayStation 426 00:17:35,613 --> 00:17:37,373 Speaker 11: or whatever, and then they turn up on site and 427 00:17:38,253 --> 00:17:41,613 Speaker 11: you can just tell that, you know, they shouldn't be 428 00:17:41,693 --> 00:17:45,933 Speaker 11: there like that, they're just not. The responses are slow. 429 00:17:46,413 --> 00:17:48,093 Speaker 11: They think they're on top of the game, but they're not. 430 00:17:49,413 --> 00:17:53,733 Speaker 11: And that concretor, I do feel exactly where he's coming from. 431 00:17:56,013 --> 00:17:56,693 Speaker 12: It is the. 432 00:17:56,773 --> 00:18:00,813 Speaker 11: Concrete industry is a little different to a lot of others. 433 00:18:00,893 --> 00:18:05,053 Speaker 11: So conquering guys, you're starting very early sometimes and working 434 00:18:05,253 --> 00:18:09,293 Speaker 11: very very late, whereas most trades are seven really you know, 435 00:18:09,453 --> 00:18:12,573 Speaker 11: seven o'clock till five o'clock kind of thing, whereas concrete 436 00:18:12,613 --> 00:18:15,173 Speaker 11: can be four o'clock palls that go right through till 437 00:18:15,253 --> 00:18:17,973 Speaker 11: you're not finishing. Concrete ll ten to eleven o'clock at night. 438 00:18:18,773 --> 00:18:24,653 Speaker 11: So it is a bit different, and I've had experience 439 00:18:24,693 --> 00:18:26,293 Speaker 11: on both sides of it, and it's sort of a 440 00:18:28,773 --> 00:18:32,853 Speaker 11: it's a bit of a mishmash. Like you need really 441 00:18:32,893 --> 00:18:36,173 Speaker 11: tough guys to lay concrete. Them not like your average trade. 442 00:18:36,373 --> 00:18:39,853 Speaker 11: Concrete is are a bit of a different breed, but 443 00:18:40,053 --> 00:18:42,653 Speaker 11: you do have to, you know, we've always some of 444 00:18:42,693 --> 00:18:44,573 Speaker 11: the best concrete layers. I've worked with the guys that 445 00:18:44,613 --> 00:18:48,853 Speaker 11: are absolutely alcoholics. But you've got to keep them under rain. 446 00:18:49,173 --> 00:18:51,773 Speaker 11: And that's part of a boss's job to a certain degree, 447 00:18:51,893 --> 00:18:55,693 Speaker 11: is laying down the rules. These are rules, are going 448 00:18:55,773 --> 00:18:57,213 Speaker 11: to work with me. If you can't work within them, 449 00:18:57,333 --> 00:19:00,213 Speaker 11: then you're gone. And I do get what he's saying. 450 00:19:00,213 --> 00:19:02,213 Speaker 11: It doesn't matter how much money you're offering. It's not 451 00:19:02,293 --> 00:19:04,733 Speaker 11: about money with these guys. It's more about leading from 452 00:19:04,773 --> 00:19:08,733 Speaker 11: the front a little bit. So if you're not sort 453 00:19:08,733 --> 00:19:11,973 Speaker 11: of laying down the rules and working with them. With concretors, 454 00:19:12,053 --> 00:19:13,532 Speaker 11: then you're not going to get a lot of respect 455 00:19:13,573 --> 00:19:13,893 Speaker 11: from them. 456 00:19:14,493 --> 00:19:17,533 Speaker 3: Have you ever done any testing on employees? 457 00:19:18,813 --> 00:19:19,253 Speaker 11: Yes, they have. 458 00:19:19,453 --> 00:19:20,413 Speaker 1: Yeah, you have to. 459 00:19:20,653 --> 00:19:23,093 Speaker 11: I mean that's that's a big part of it. You've 460 00:19:23,133 --> 00:19:25,413 Speaker 11: also got to try and make sure you're keeping everybody 461 00:19:25,453 --> 00:19:28,093 Speaker 11: safe that you're working with. So if you've got somebody 462 00:19:28,173 --> 00:19:32,453 Speaker 11: that's to me, it's it's guys that are on pe 463 00:19:32,613 --> 00:19:34,693 Speaker 11: and things that are going to be dangerous to work around. 464 00:19:35,213 --> 00:19:39,133 Speaker 11: So get somebody who you suspect is is doing that, 465 00:19:39,253 --> 00:19:41,213 Speaker 11: then you're definitely so hey, mate, we're going to give 466 00:19:41,213 --> 00:19:43,053 Speaker 11: your drug tests. Most of the time they'll just quit 467 00:19:43,613 --> 00:19:45,293 Speaker 11: because they don't want to be drug tested. 468 00:19:45,413 --> 00:19:48,893 Speaker 3: So yeah, yeah, jump domin ahead of the time. 469 00:19:49,253 --> 00:19:51,093 Speaker 2: It's interesting one, isn't that because you know, you talk 470 00:19:51,093 --> 00:19:53,853 Speaker 2: about methamphetamine and people think about just the you know, 471 00:19:54,373 --> 00:19:57,613 Speaker 2: the heightened you know, people can be angry, they're they're 472 00:19:57,773 --> 00:20:01,013 Speaker 2: they're messed up. But the other thing is, as you say, Craig, 473 00:20:01,133 --> 00:20:04,053 Speaker 2: is they're awake, so they're not getting the sleeping so 474 00:20:04,933 --> 00:20:07,533 Speaker 2: you know, they're artificially awake, and that's why they start 475 00:20:07,533 --> 00:20:11,613 Speaker 2: having delusion and not being able to understand what's going on. 476 00:20:13,013 --> 00:20:15,693 Speaker 11: Yeah, the clarity is not there sometimes, and like I'm 477 00:20:15,733 --> 00:20:17,973 Speaker 11: not having a go having you go with anybody about this. 478 00:20:18,173 --> 00:20:22,333 Speaker 11: It's just a there's certain industries and obviously certain people 479 00:20:22,373 --> 00:20:27,293 Speaker 11: who have a tendency towards misbehaving more than others. So 480 00:20:28,253 --> 00:20:30,453 Speaker 11: I've tried really hard with guys that have been on 481 00:20:30,573 --> 00:20:33,933 Speaker 11: Peter get them to sort themselves out and get them 482 00:20:33,973 --> 00:20:35,853 Speaker 11: back to work and do what you can. And most 483 00:20:35,893 --> 00:20:39,933 Speaker 11: of the time you fail, but sometimes you actually do 484 00:20:40,053 --> 00:20:42,213 Speaker 11: get through, and there's in some bloody good guys that 485 00:20:42,333 --> 00:20:44,173 Speaker 11: just needed somebody to pull them up a little bit 486 00:20:44,253 --> 00:20:50,453 Speaker 11: and be a decent boss. So it does depends a 487 00:20:50,493 --> 00:20:52,413 Speaker 11: little bit on your attitude to it. But I do 488 00:20:52,573 --> 00:20:57,013 Speaker 11: think alcohol is actually the biggest issue. Like guys that 489 00:20:57,093 --> 00:20:59,173 Speaker 11: have drank twill four o'clock in the morning and you 490 00:20:59,253 --> 00:21:00,493 Speaker 11: pick them up at six o'clock. 491 00:21:01,573 --> 00:21:02,733 Speaker 13: That way a little dangerous. 492 00:21:03,813 --> 00:21:04,653 Speaker 1: Yeah, I've pat. 493 00:21:04,573 --> 00:21:08,093 Speaker 11: Guys up from nightclubs, Guys like twenty fifteen, twenty years ago, 494 00:21:08,333 --> 00:21:11,213 Speaker 11: the second guys up from nightclub Scarne layer concrete slab, 495 00:21:11,253 --> 00:21:11,413 Speaker 11: you know. 496 00:21:12,093 --> 00:21:15,693 Speaker 4: Yeah, yeah, well good on your Craig, think you if 497 00:21:15,693 --> 00:21:17,253 Speaker 4: you call that would have been a tough day for 498 00:21:17,293 --> 00:21:20,813 Speaker 4: those boys man getting picked up straight from the nightclub. 499 00:21:20,933 --> 00:21:23,013 Speaker 4: Granted you know twenty years ago and it's unsafe, but 500 00:21:23,533 --> 00:21:25,533 Speaker 4: you would have put them through an absolute ringer and 501 00:21:25,613 --> 00:21:26,733 Speaker 4: say you're never going to do this again. 502 00:21:26,813 --> 00:21:29,493 Speaker 2: Lad Are you telling me Tyler that you've never turned 503 00:21:29,573 --> 00:21:31,853 Speaker 2: up to work with a raging hangover and maybe a 504 00:21:31,893 --> 00:21:33,213 Speaker 2: little bit still in the system. 505 00:21:33,133 --> 00:21:35,053 Speaker 4: Once and I never did it again because it was 506 00:21:35,093 --> 00:21:38,013 Speaker 4: the worst day ever. Everybody, the boss knew it, and 507 00:21:38,133 --> 00:21:39,773 Speaker 4: he said, I'm going to make your life a living 508 00:21:39,853 --> 00:21:41,533 Speaker 4: how today, So you never do this again. I know 509 00:21:41,613 --> 00:21:42,493 Speaker 4: you've done it a few times. 510 00:21:42,613 --> 00:21:44,453 Speaker 3: The way you perform on the show was just assume 511 00:21:44,533 --> 00:21:45,453 Speaker 3: you had a drinking problem. 512 00:21:46,173 --> 00:21:48,733 Speaker 4: It is twenty eight to two. That's very good mate. 513 00:21:48,773 --> 00:21:51,493 Speaker 4: Oh eight hundred eighty ten eighty is the number to call. 514 00:21:51,933 --> 00:21:54,133 Speaker 4: Do you have an issue finding good reliable workers because 515 00:21:54,133 --> 00:21:56,013 Speaker 4: they're all drinking and on drugs. Keen to hear from 516 00:21:56,053 --> 00:21:57,053 Speaker 4: your headlines coming up? 517 00:21:59,493 --> 00:22:02,813 Speaker 14: You talk, sa'd be headlines with blue bubble Taxis. It's 518 00:22:02,893 --> 00:22:06,133 Speaker 14: no trouble with a blue bubble. Jetstar says it is 519 00:22:06,253 --> 00:22:09,853 Speaker 14: deeply sorry for letting people done. After receiving a hefty 520 00:22:10,013 --> 00:22:14,213 Speaker 14: fine for misleading customers, the airline faced twenty charges of 521 00:22:14,333 --> 00:22:17,173 Speaker 14: breaching the Fair Trading Act and was fined more than 522 00:22:17,213 --> 00:22:21,173 Speaker 14: two million dollars. Prime Minister Chris Lukson says an announcement 523 00:22:21,293 --> 00:22:23,613 Speaker 14: will be made this week on whether or not the 524 00:22:23,733 --> 00:22:26,853 Speaker 14: Foreign Buyers Band will be lifted. The ban was introduced 525 00:22:26,933 --> 00:22:30,173 Speaker 14: in twenty eighteen when Labour and New Zealand First were 526 00:22:30,213 --> 00:22:35,812 Speaker 14: in coalition. The Meningitis Foundation is welcoming farmac's expanded Mininju 527 00:22:35,893 --> 00:22:40,133 Speaker 14: cockle vaccine access. The Meninja cocklebe vaccine is now funded 528 00:22:40,413 --> 00:22:43,333 Speaker 14: for all under five year olds, which could protect up 529 00:22:43,373 --> 00:22:47,052 Speaker 14: to seventy seven thousand additional Kiwi kids from the disease. 530 00:22:47,773 --> 00:22:50,933 Speaker 14: Sand mining at Parkety Beach north of Auckland has officially 531 00:22:50,973 --> 00:22:54,693 Speaker 14: been ruled out after McCallum Brothers Limited reached a settlement 532 00:22:54,933 --> 00:22:59,133 Speaker 14: agreement with Natti Maroheru and Auckland Council to surrender its 533 00:22:59,213 --> 00:23:03,733 Speaker 14: temporary access and confidence. Christ Churches new Sports Center will 534 00:23:03,773 --> 00:23:05,853 Speaker 14: be ready to go in time for the opening of 535 00:23:05,933 --> 00:23:10,493 Speaker 14: the Special Olympics, which starts in December. Did Liam Lawson 536 00:23:10,693 --> 00:23:13,853 Speaker 14: just let his red Bull future intention slip? You can 537 00:23:13,933 --> 00:23:16,053 Speaker 14: see the full column at ends it here. All Premium 538 00:23:16,413 --> 00:23:18,493 Speaker 14: now back to Matt Heath and Tyler Adams. 539 00:23:18,573 --> 00:23:21,293 Speaker 4: Thank you very much, Susie. So we're talking about finding 540 00:23:21,373 --> 00:23:23,853 Speaker 4: reliable workers who aren't on the drink on the weekend 541 00:23:23,973 --> 00:23:26,933 Speaker 4: or turning up hungover or still with drugs in their system. 542 00:23:27,013 --> 00:23:28,613 Speaker 4: How hard is it for you, oh, eight hundred and 543 00:23:28,613 --> 00:23:29,773 Speaker 4: eighty ten eighties number to call. 544 00:23:29,733 --> 00:23:31,933 Speaker 2: This texasays, I challenge anyone to lay concrete all day 545 00:23:31,933 --> 00:23:34,053 Speaker 2: and not require a beer or three and a puff 546 00:23:34,093 --> 00:23:35,413 Speaker 2: to maintain their sanity. 547 00:23:35,533 --> 00:23:36,973 Speaker 3: It's a tough job, as business says. 548 00:23:37,013 --> 00:23:38,973 Speaker 2: To be fair bros and conquering, you need to be 549 00:23:39,053 --> 00:23:40,893 Speaker 2: cocked up to get through the day in that job, 550 00:23:40,973 --> 00:23:44,293 Speaker 2: don't you a few texts coming through there, So concorting 551 00:23:44,373 --> 00:23:46,893 Speaker 2: sounds like a tough job. I can't name the company, however, 552 00:23:46,933 --> 00:23:48,773 Speaker 2: it's large, to say the least. Whenever they need to 553 00:23:48,813 --> 00:23:51,653 Speaker 2: reduce the workforce to save off redundancy payments, they just 554 00:23:51,733 --> 00:23:52,853 Speaker 2: bring in the drug testers. 555 00:23:53,373 --> 00:23:55,293 Speaker 3: Quite smart. You got to say. It's one way to 556 00:23:55,373 --> 00:23:55,533 Speaker 3: do it. 557 00:23:55,693 --> 00:23:59,893 Speaker 2: Yeah, fellers, trades rub meth on their gums. Its keeps 558 00:23:59,933 --> 00:24:02,213 Speaker 2: you working through the day. It's an assy thing. It's 559 00:24:02,213 --> 00:24:03,013 Speaker 2: come here recently. 560 00:24:03,373 --> 00:24:07,573 Speaker 4: And okay, all right, okay, good tonight, John mate. You're 561 00:24:07,573 --> 00:24:09,813 Speaker 4: a farmer, and you've had trouble finding good workers? 562 00:24:11,693 --> 00:24:14,053 Speaker 6: Yeah, well, yes and no, we always find them, but 563 00:24:14,453 --> 00:24:16,893 Speaker 6: we get a lot of people apply for jobs that 564 00:24:17,773 --> 00:24:19,733 Speaker 6: we pretty much weed out at the start. We've also 565 00:24:20,133 --> 00:24:25,333 Speaker 6: taken on people that we've let go part way through 566 00:24:25,373 --> 00:24:28,053 Speaker 6: their term. And in one of the big issues I 567 00:24:28,213 --> 00:24:34,533 Speaker 6: have is illegal drug use. Because we're originally a big farm. 568 00:24:34,613 --> 00:24:38,533 Speaker 6: We run some pretty big gears and you've got to 569 00:24:38,533 --> 00:24:39,853 Speaker 6: be on the top of your game to hint to 570 00:24:39,973 --> 00:24:40,293 Speaker 6: drive it. 571 00:24:41,613 --> 00:24:44,093 Speaker 4: And do you drug test all of your workers, John, 572 00:24:44,133 --> 00:24:46,693 Speaker 4: to make sure that they're okay to be operating that machinery. 573 00:24:47,733 --> 00:24:51,853 Speaker 6: No, we don't because generally we don't have a lot 574 00:24:51,893 --> 00:24:54,173 Speaker 6: of stuff and generally you can pack there something wrong 575 00:24:54,813 --> 00:24:56,653 Speaker 6: and if you sit down and talk with them and 576 00:24:57,933 --> 00:25:00,213 Speaker 6: go okay, So on the weekends, what are you doing? 577 00:25:01,653 --> 00:25:04,653 Speaker 6: Are you using drugs? I have don't have a problem 578 00:25:04,813 --> 00:25:06,173 Speaker 6: a little bit of dope, but I do have a 579 00:25:06,253 --> 00:25:08,053 Speaker 6: problem to start getting into some of the heideous stuff 580 00:25:08,093 --> 00:25:11,053 Speaker 6: like are you using it? And if they give a 581 00:25:11,093 --> 00:25:12,572 Speaker 6: lie bit of a shifty answer, say all right, well 582 00:25:12,693 --> 00:25:15,013 Speaker 6: I'm going to drug test, and there's a previous call, 583 00:25:15,053 --> 00:25:17,773 Speaker 6: I said, most well, our experience has been that they go, 584 00:25:18,173 --> 00:25:19,293 Speaker 6: actually I don't want the job. 585 00:25:20,973 --> 00:25:22,213 Speaker 4: Well that's pretty talient, isn't it. 586 00:25:23,053 --> 00:25:26,653 Speaker 6: Yeah? Yeah, and so something that really worries me. 587 00:25:26,933 --> 00:25:30,933 Speaker 4: Yeah. So with the guys who have cannabis, why is 588 00:25:31,013 --> 00:25:33,213 Speaker 4: that not not much of a worry for you? 589 00:25:33,493 --> 00:25:33,613 Speaker 14: Is it? 590 00:25:33,613 --> 00:25:36,933 Speaker 4: Because genuinely they're not going to be as inebriated. If 591 00:25:36,973 --> 00:25:39,213 Speaker 4: they they smoke on a weekend and they turn up 592 00:25:39,253 --> 00:25:41,933 Speaker 4: on Monday, you can still trust by that stage they'll 593 00:25:41,973 --> 00:25:43,333 Speaker 4: be okay to operate machinery. 594 00:25:44,373 --> 00:25:46,733 Speaker 6: Well, my experience with guys on cannabis is they just 595 00:25:46,813 --> 00:25:55,333 Speaker 6: get smiley and slapt and quiet as opposed to alcohol, which, yeah, 596 00:25:55,493 --> 00:25:57,813 Speaker 6: in my younger days, I should turn up with hangover. 597 00:25:58,413 --> 00:26:02,653 Speaker 6: I know what that does. We can generally work around that. 598 00:26:02,813 --> 00:26:04,493 Speaker 6: If they're just a bit smiley and quiet. It's when 599 00:26:04,493 --> 00:26:08,093 Speaker 6: they turn up and they are wiped up. Yeah, heaven't 600 00:26:08,093 --> 00:26:14,693 Speaker 6: sleep And I've never really had one get violent, but 601 00:26:14,733 --> 00:26:18,413 Speaker 6: I've been pretty close and I'm thinking more in our 602 00:26:18,453 --> 00:26:23,812 Speaker 6: wallshit situations for that. It's just something I don't want 603 00:26:23,853 --> 00:26:25,293 Speaker 6: to deal with and won't deal with. 604 00:26:26,573 --> 00:26:29,453 Speaker 2: Do you find with cannabis motivation is a problem. Though 605 00:26:29,453 --> 00:26:32,573 Speaker 2: they might be quiet and smiley but not really getting a. 606 00:26:32,613 --> 00:26:37,973 Speaker 6: Lot done absolutely making My experience with and I'm nearly retired, 607 00:26:37,973 --> 00:26:39,773 Speaker 6: so I've been in the game for a while. My 608 00:26:39,893 --> 00:26:43,013 Speaker 6: experience with cannabis is that they get smiley and quiet 609 00:26:43,693 --> 00:26:47,853 Speaker 6: and hair books or users don't have a lot of ambition, right, 610 00:26:48,093 --> 00:26:52,013 Speaker 6: They just yeah complacement, which is okay for them, and 611 00:26:52,173 --> 00:26:57,653 Speaker 6: so the problems getting worse. John definitely. We took on 612 00:26:57,733 --> 00:27:01,893 Speaker 6: a sixteen year old eighteen months ago. Part of when 613 00:27:01,933 --> 00:27:04,653 Speaker 6: they come on the place, because we supply accommodation, they 614 00:27:04,733 --> 00:27:07,013 Speaker 6: have to sign a contract as to what's done on 615 00:27:07,173 --> 00:27:10,453 Speaker 6: the farm, and part of that is will be no 616 00:27:10,533 --> 00:27:15,213 Speaker 6: illegal drugs at all. We've been there a month, was 617 00:27:15,253 --> 00:27:18,573 Speaker 6: turning up to work very hungover and half first still 618 00:27:19,213 --> 00:27:26,453 Speaker 6: a memory sixteen. I did a quarter's inspection and found 619 00:27:26,493 --> 00:27:33,173 Speaker 6: pretty plain evidence of drug use. So I would say, 620 00:27:33,573 --> 00:27:38,013 Speaker 6: if we advertise for a job, we probably get twenty 621 00:27:38,693 --> 00:27:42,453 Speaker 6: plus applicants will marry that down to one or two 622 00:27:42,533 --> 00:27:43,413 Speaker 6: Philly quickly. 623 00:27:44,373 --> 00:27:46,333 Speaker 2: Right, So can you get what you can tell pretty 624 00:27:46,373 --> 00:27:49,453 Speaker 2: quickly from just you know when you're in first meeting 625 00:27:49,613 --> 00:27:52,373 Speaker 2: that they're you know that they're going to go hard. 626 00:27:53,213 --> 00:27:55,173 Speaker 6: They're not suitable for one reason or the other. And 627 00:27:55,413 --> 00:27:56,893 Speaker 6: a lot of it is the fact that they are 628 00:27:57,173 --> 00:27:58,493 Speaker 6: quite heavy to party till your heart. 629 00:27:58,773 --> 00:28:01,293 Speaker 3: Yeah, yeah, I think if you called John, Yeah, great, call. 630 00:28:01,333 --> 00:28:03,293 Speaker 4: Oh, one hundred and eighty ten eighty is the number 631 00:28:03,293 --> 00:28:05,533 Speaker 4: to call. Are you in a similar situation than John 632 00:28:05,733 --> 00:28:07,893 Speaker 4: that A lot of people applying for the jobs that 633 00:28:07,893 --> 00:28:11,053 Speaker 4: you've got to bailable just are on the drink and 634 00:28:11,173 --> 00:28:12,613 Speaker 4: the drugs on the weekend? 635 00:28:12,813 --> 00:28:14,613 Speaker 2: This this, Hey, guys, how do we have so many 636 00:28:14,693 --> 00:28:16,373 Speaker 2: drug users in the midst of a cost of living 637 00:28:16,413 --> 00:28:20,133 Speaker 2: crisis and wastewater testing indicating our uses. 638 00:28:19,853 --> 00:28:22,493 Speaker 3: On the rise inflation proof? I guess well, that's what 639 00:28:22,613 --> 00:28:23,773 Speaker 3: you prioritize in your budget. 640 00:28:23,813 --> 00:28:24,333 Speaker 4: I guess yeah. 641 00:28:24,893 --> 00:28:27,973 Speaker 2: Is one thing that drug addacts will do is they'll 642 00:28:28,133 --> 00:28:32,933 Speaker 2: heavenly prioritize the drugs over some more healthy stuff in 643 00:28:32,933 --> 00:28:33,293 Speaker 2: their life. 644 00:28:33,893 --> 00:28:36,292 Speaker 4: It is nineteen to two, Taking your calls on eight 645 00:28:36,373 --> 00:28:37,813 Speaker 4: hundred and eighty ten eighty. 646 00:28:38,813 --> 00:28:42,173 Speaker 1: Madd Heath, Taylor Adams with you as your afternoon rolls 647 00:28:42,213 --> 00:28:46,013 Speaker 1: on madd Heath and Taylor Adams Afternoons news talks, it'd be. 648 00:28:46,373 --> 00:28:47,853 Speaker 4: It is sixteen to two. 649 00:28:48,333 --> 00:28:50,093 Speaker 2: I interviewed a guy for a job and he offered 650 00:28:50,173 --> 00:28:52,253 Speaker 2: me a meth pipe smoke at the end of the 651 00:28:52,333 --> 00:28:56,053 Speaker 2: interview generous. I guess he was looking for company who 652 00:28:56,133 --> 00:28:58,453 Speaker 2: didn't care about drug use. Safe to say he didn't 653 00:28:58,493 --> 00:29:01,733 Speaker 2: get the job. That's bold. It's very bold bold when 654 00:29:01,773 --> 00:29:04,453 Speaker 2: you read those things about how to nail a job interview, 655 00:29:04,533 --> 00:29:06,253 Speaker 2: how to get your CV right, how to turn up 656 00:29:06,333 --> 00:29:09,413 Speaker 2: and ask the right questions. You know, when they ask 657 00:29:09,453 --> 00:29:11,933 Speaker 2: you have you got any weaknesses? You go, yeah, yeah, Look, 658 00:29:12,013 --> 00:29:16,533 Speaker 2: if anything, I work too hard. I've never seen anyone say, 659 00:29:17,053 --> 00:29:19,493 Speaker 2: you know, offer them a puff on the glass, Barbie. 660 00:29:19,253 --> 00:29:21,293 Speaker 4: You want to we smoke your smoke to seal the deal. 661 00:29:21,693 --> 00:29:21,813 Speaker 8: Hey. 662 00:29:21,893 --> 00:29:23,773 Speaker 3: So someone was saying for this text here so many 663 00:29:23,773 --> 00:29:27,053 Speaker 3: are coming through. Oh this was an interesting one. Wow. 664 00:29:27,133 --> 00:29:29,413 Speaker 2: How to supporting these week as trades say they need 665 00:29:29,493 --> 00:29:31,773 Speaker 2: gear to get through the day. Thirty five years on 666 00:29:31,853 --> 00:29:34,973 Speaker 2: the tools, no gear necessary, yep. Concreted six years without 667 00:29:35,053 --> 00:29:38,093 Speaker 2: gear too, Yep. I have had both problems with young guys. 668 00:29:38,333 --> 00:29:41,093 Speaker 3: Some myths out the door, pretty mythy is out the 669 00:29:41,133 --> 00:29:45,613 Speaker 3: door pretty quickly, lazy except well, hi, others not on gear. Awesome. 670 00:29:46,533 --> 00:29:51,733 Speaker 2: So someone else was texting and hey guys, basically whereas 671 00:29:51,773 --> 00:29:53,893 Speaker 2: it was asking, you know, what are the laws around 672 00:29:53,973 --> 00:29:56,653 Speaker 2: testing the people because they have you found then they 673 00:29:56,693 --> 00:29:57,413 Speaker 2: have been the text. 674 00:29:57,333 --> 00:29:59,813 Speaker 4: There yeah just in that week Q there just under 675 00:29:59,893 --> 00:30:00,973 Speaker 4: the yep that one there. 676 00:30:01,213 --> 00:30:03,893 Speaker 2: Hi guys, can you please find out where employees stand 677 00:30:03,973 --> 00:30:06,373 Speaker 2: legally to warn staff that they will be drug tested. 678 00:30:06,453 --> 00:30:09,013 Speaker 2: We suspect one employeer need to do the this properly. 679 00:30:09,093 --> 00:30:09,693 Speaker 3: Also wished to. 680 00:30:09,693 --> 00:30:13,453 Speaker 2: Remain anonymous as they may be listening. So guidance for 681 00:30:13,653 --> 00:30:16,813 Speaker 2: workers and union officials regarding workplace drag and alcohol policies. 682 00:30:17,373 --> 00:30:19,573 Speaker 2: The focus with any drug or our cool testing should 683 00:30:19,573 --> 00:30:22,573 Speaker 2: always be on impairment. Drug testing itself does not improve 684 00:30:22,613 --> 00:30:25,933 Speaker 2: workplace safety. Testing captures use and not necessarily I'm going 685 00:30:25,973 --> 00:30:27,413 Speaker 2: to going to this how jump past that? It's just 686 00:30:27,453 --> 00:30:31,293 Speaker 2: some rubbish at the start Workers' rights workplace dragon olcol 687 00:30:31,333 --> 00:30:33,893 Speaker 2: testing requires a careful balance of conflicting interests. Workers have 688 00:30:33,933 --> 00:30:37,253 Speaker 2: the right to privacy, to be free from unlawful discrimination, 689 00:30:37,533 --> 00:30:40,013 Speaker 2: and to be healthy and safe in the workplace. Workers 690 00:30:40,053 --> 00:30:42,613 Speaker 2: have obligations to not engage in themselves or others, and 691 00:30:42,733 --> 00:30:46,013 Speaker 2: to follow all reasonable health and safety policies. Employees must 692 00:30:46,093 --> 00:30:48,653 Speaker 2: respect their rights and provide a healthy and safety workplace 693 00:30:49,053 --> 00:30:51,533 Speaker 2: when making decisions that impact health and safety. This includes 694 00:30:51,573 --> 00:30:54,813 Speaker 2: decisions on drug making policies. What does it get down 695 00:30:54,853 --> 00:30:57,693 Speaker 2: to the testing dragon Olcohol testing should capture actual impairment. 696 00:30:57,733 --> 00:31:00,333 Speaker 2: It should not be just detecting the present substance. Detection 697 00:31:00,413 --> 00:31:02,533 Speaker 2: shows that the substance was consumed, it does not say 698 00:31:02,573 --> 00:31:05,533 Speaker 2: whether the substance was impairing the worker. Case law tells 699 00:31:05,653 --> 00:31:08,813 Speaker 2: us that the less invasive, up to date tasting testing 700 00:31:08,813 --> 00:31:11,093 Speaker 2: technology to be used by employer drug and alcol testing 701 00:31:11,213 --> 00:31:14,813 Speaker 2: must be for genuine health safety reasons. Interesting random testing 702 00:31:14,893 --> 00:31:18,213 Speaker 2: may only be justified in safety sensitive roles. Right there, 703 00:31:18,293 --> 00:31:20,773 Speaker 2: it is safety census work must be agreed by the 704 00:31:20,813 --> 00:31:23,253 Speaker 2: employer workers in the union duly involves work that would 705 00:31:23,293 --> 00:31:26,013 Speaker 2: result in a serious incident of conduct while impaired. 706 00:31:26,173 --> 00:31:29,013 Speaker 4: Makes sense? Yeah, that is good info though, but you 707 00:31:29,133 --> 00:31:32,293 Speaker 4: look it up yourself online. Yep, E one hundred and 708 00:31:32,333 --> 00:31:34,533 Speaker 4: eighty ten eighty is the number to call Wally. You 709 00:31:34,813 --> 00:31:36,533 Speaker 4: are a truck driver, is that right? 710 00:31:37,573 --> 00:31:37,773 Speaker 14: Yeah? 711 00:31:37,813 --> 00:31:40,813 Speaker 15: I just a relief drive at the moment. I retired 712 00:31:41,373 --> 00:31:45,293 Speaker 15: ten years ago, and then eight years ago they stuttering 713 00:31:45,413 --> 00:31:51,373 Speaker 15: me up there's another company and drivers got drug tests 714 00:31:51,373 --> 00:31:53,493 Speaker 15: on side of the road here, So they called me 715 00:31:53,573 --> 00:31:59,773 Speaker 15: into Callahan that was going to parmers enough. Yeah, yeah, 716 00:32:00,093 --> 00:32:01,893 Speaker 15: I've been getting quite a bit of work. 717 00:32:01,933 --> 00:32:04,533 Speaker 4: Eh, So, so just you cut out there for a 718 00:32:04,573 --> 00:32:06,933 Speaker 4: bit while you're getting work. Now you're being brought in 719 00:32:06,973 --> 00:32:09,253 Speaker 4: as a relief truck driver because the young guys are 720 00:32:09,533 --> 00:32:13,013 Speaker 4: testing for for drugs yep, right. 721 00:32:13,693 --> 00:32:16,013 Speaker 2: And then and they know that you're you're a sober 722 00:32:16,093 --> 00:32:17,533 Speaker 2: driver and there's gonna be no problems there. 723 00:32:18,213 --> 00:32:22,893 Speaker 3: I'm yeah, right, okay, and so and so you were 724 00:32:22,893 --> 00:32:23,653 Speaker 3: happy to go back. 725 00:32:25,533 --> 00:32:27,973 Speaker 15: Oh I didn't get the chance to say no, yeah, 726 00:32:28,613 --> 00:32:31,333 Speaker 15: if I'm tired or whatever, I'm just coming back or 727 00:32:31,413 --> 00:32:35,813 Speaker 15: something could coming. I soon got back on your forwards 728 00:32:35,853 --> 00:32:36,293 Speaker 15: from there. 729 00:32:36,733 --> 00:32:38,253 Speaker 3: So did you see did you see a lot of 730 00:32:38,333 --> 00:32:41,333 Speaker 3: it back in the day before you before you retired 731 00:32:41,333 --> 00:32:41,573 Speaker 3: from it? 732 00:32:42,893 --> 00:32:45,653 Speaker 15: It was a little bit, but I don't know the 733 00:32:45,693 --> 00:32:47,893 Speaker 15: guys who were probably taking just to keep stay awake, 734 00:32:50,373 --> 00:32:54,573 Speaker 15: thing around, reloading and coming back again. Yeah, and we 735 00:32:54,653 --> 00:32:57,133 Speaker 15: say that I can come to the next day, right. 736 00:32:57,253 --> 00:32:59,053 Speaker 4: So that would put you in a pretty good position 737 00:32:59,093 --> 00:33:00,773 Speaker 4: if you're going for a job and say I don't 738 00:33:00,813 --> 00:33:02,773 Speaker 4: drink at all, I'm a tee totaler. That will put 739 00:33:02,773 --> 00:33:04,173 Speaker 4: you right up at the top of the stack for 740 00:33:04,213 --> 00:33:04,813 Speaker 4: truck driving. 741 00:33:05,733 --> 00:33:06,933 Speaker 11: Yep, yeah, yep. 742 00:33:07,813 --> 00:33:10,813 Speaker 15: Interesting drug tests twice in six years. 743 00:33:12,013 --> 00:33:17,293 Speaker 4: Yeah, come up, always come up clean, always come up clean. Yeah. Well, 744 00:33:17,373 --> 00:33:18,893 Speaker 4: good on you, Wally. I mean that would put you 745 00:33:18,973 --> 00:33:20,413 Speaker 4: in a good position as well. Do you get to 746 00:33:20,493 --> 00:33:21,053 Speaker 4: name your price? 747 00:33:22,413 --> 00:33:27,733 Speaker 15: Yep, yep asp Yeah. Wow, they pay because they know 748 00:33:27,813 --> 00:33:28,493 Speaker 15: I'm going to get. 749 00:33:28,333 --> 00:33:28,853 Speaker 1: The job done. 750 00:33:29,093 --> 00:33:30,693 Speaker 3: Yeah. Well that's good on your Wally. 751 00:33:30,933 --> 00:33:33,253 Speaker 2: That's that's interesting that you know you're massively up the 752 00:33:33,373 --> 00:33:35,893 Speaker 2: ranks and can and can demand what you want to 753 00:33:35,933 --> 00:33:39,133 Speaker 2: be paid because you're knowing to be a sober driver. 754 00:33:40,053 --> 00:33:43,493 Speaker 3: Very basic, the very limit exactly. He would be great 755 00:33:43,493 --> 00:33:47,893 Speaker 3: to hear from grabbed ebdenor on that rather than just 756 00:33:48,013 --> 00:33:52,173 Speaker 3: reading out random stuff from you know, government websites on 757 00:33:52,333 --> 00:33:55,453 Speaker 3: what the rights are around you know, testing it in 758 00:33:55,493 --> 00:33:56,013 Speaker 3: a workplace. 759 00:33:56,133 --> 00:33:58,293 Speaker 4: Yeah, we'll reach out to Gareth. Yeah, and so I 760 00:33:58,293 --> 00:34:00,853 Speaker 4: when you get an answer on that one. But we 761 00:34:01,053 --> 00:34:02,493 Speaker 4: can to hear from you. Oh eight hundred and eighty 762 00:34:02,573 --> 00:34:04,493 Speaker 4: ten eighty is the number to call. We'll play some 763 00:34:04,533 --> 00:34:07,933 Speaker 4: messages and come back very shortly with more of your stories. 764 00:34:07,973 --> 00:34:09,133 Speaker 4: It is eleven to two. 765 00:34:11,172 --> 00:34:14,373 Speaker 1: Matd Heath Taylor Adams taking your calls on oh, eight 766 00:34:14,453 --> 00:34:16,853 Speaker 1: hundred and eighty ten eighty. It's Mad Heath and Tyler 767 00:34:16,933 --> 00:34:18,653 Speaker 1: Adams afternoons News. 768 00:34:18,533 --> 00:34:22,933 Speaker 4: TALKSB news talks AB so our concretor has claim drugs 769 00:34:22,933 --> 00:34:25,172 Speaker 4: and alcohol for the reason he can't find a good 770 00:34:25,293 --> 00:34:28,333 Speaker 4: staff despite offering good money. Are you facing that situation? 771 00:34:28,413 --> 00:34:30,172 Speaker 4: I EATEE hundred eighty ten eighty to number to call. 772 00:34:30,773 --> 00:34:32,732 Speaker 2: Drugs are far cheaper than ever is the main issue, 773 00:34:32,813 --> 00:34:35,253 Speaker 2: especially compared to twenty years ago one thousand dollars per 774 00:34:35,293 --> 00:34:37,652 Speaker 2: gram of meth back in the day to under three 775 00:34:37,733 --> 00:34:40,692 Speaker 2: hundred hour weed two hundred and fifty dollars per oz, 776 00:34:40,853 --> 00:34:44,293 Speaker 2: which is per ounce, which is as same as what 777 00:34:44,413 --> 00:34:47,013 Speaker 2: it was twenty years ago. Not even taking inflation into consideration, 778 00:34:47,173 --> 00:34:49,573 Speaker 2: alcohol is dead, sir. Looks like the cost of living 779 00:34:49,613 --> 00:34:53,573 Speaker 2: crisis asn't heading the meth world inflation proof Glenn? 780 00:34:53,613 --> 00:34:53,933 Speaker 4: How are you? 781 00:34:55,173 --> 00:34:55,373 Speaker 14: Yeah? 782 00:34:55,493 --> 00:34:55,933 Speaker 8: Good? Thanks? 783 00:34:56,013 --> 00:34:56,053 Speaker 7: So? 784 00:34:56,133 --> 00:34:56,613 Speaker 8: I like good. 785 00:34:57,613 --> 00:34:57,653 Speaker 4: So. 786 00:34:58,853 --> 00:35:02,533 Speaker 8: We were large scale employers in a retail business. We 787 00:35:02,613 --> 00:35:06,613 Speaker 8: had over three hundred people working with us. We put 788 00:35:06,693 --> 00:35:10,413 Speaker 8: on a drug and alcohol rebel at program and pre 789 00:35:10,533 --> 00:35:16,013 Speaker 8: employment drug testing and random drug testing. Once we got 790 00:35:16,053 --> 00:35:19,413 Speaker 8: the random drug testing and we saw our serious harm 791 00:35:19,613 --> 00:35:25,373 Speaker 8: accidents reduced by ninety percent. Our people were far more 792 00:35:25,453 --> 00:35:31,133 Speaker 8: engaged and our productivity lifted significantly. Did you lose some 793 00:35:31,253 --> 00:35:36,453 Speaker 8: employees with that, We didn't lose any because of the 794 00:35:37,213 --> 00:35:40,053 Speaker 8: testing when we brought it in. We graduated it. So 795 00:35:40,213 --> 00:35:43,453 Speaker 8: we had the drug and alcohol policy. First, we supported 796 00:35:43,493 --> 00:35:48,853 Speaker 8: the people that had problems with counseling and getting them 797 00:35:48,853 --> 00:35:54,093 Speaker 8: off the drugs and their families as well, and we 798 00:35:54,213 --> 00:35:58,333 Speaker 8: were able to significantly help a number of people there. 799 00:35:58,853 --> 00:36:03,493 Speaker 8: And then when we had the pre employment testing and 800 00:36:03,893 --> 00:36:07,413 Speaker 8: it just cleaned the stream of people coming to work 801 00:36:08,693 --> 00:36:10,253 Speaker 8: of the people that wants to come and work with 802 00:36:10,373 --> 00:36:11,533 Speaker 8: us increased. 803 00:36:12,133 --> 00:36:14,453 Speaker 2: So what did you have to go through to start 804 00:36:15,293 --> 00:36:18,533 Speaker 2: random drug testing at work? So you announced the policy? 805 00:36:18,813 --> 00:36:21,413 Speaker 2: Did you bring in professionals to do it? You know, 806 00:36:21,533 --> 00:36:23,373 Speaker 2: what's the process of bringing that into a company. 807 00:36:24,453 --> 00:36:26,733 Speaker 8: So we were the first thing we did was announce 808 00:36:26,813 --> 00:36:29,173 Speaker 8: the policy, and we did that with a drug and 809 00:36:29,213 --> 00:36:32,973 Speaker 8: alcohol counselor at staff meetings where staff were able to 810 00:36:33,013 --> 00:36:36,893 Speaker 8: bring their families along as well. So we announced that. 811 00:36:37,173 --> 00:36:40,133 Speaker 8: We went through that process. The next stage we brought 812 00:36:40,173 --> 00:36:42,733 Speaker 8: in was the pre employment testing and that was that 813 00:36:42,893 --> 00:36:46,893 Speaker 8: was relatively simple to bring in because it was merely 814 00:36:47,013 --> 00:36:51,773 Speaker 8: an advertisement that in the ad we would say you 815 00:36:51,853 --> 00:36:55,013 Speaker 8: would need to pass a drug screen screening test to 816 00:36:55,133 --> 00:36:55,773 Speaker 8: gain employment. 817 00:36:55,853 --> 00:36:56,093 Speaker 7: With us. 818 00:36:57,773 --> 00:37:00,853 Speaker 8: That that alone cleaned out a lot of people from 819 00:37:00,933 --> 00:37:03,853 Speaker 8: coming In the next part, after we had that in, 820 00:37:04,413 --> 00:37:07,692 Speaker 8: we were we were drug testing for cause. So if 821 00:37:07,733 --> 00:37:11,773 Speaker 8: there was a setreous harm accident or incident, or or 822 00:37:11,813 --> 00:37:14,573 Speaker 8: a health and safety incident, we were drugged, we would 823 00:37:14,973 --> 00:37:16,732 Speaker 8: suggest that we were going to do a drug test. 824 00:37:17,373 --> 00:37:20,413 Speaker 8: If that person failed that drug test, we then provide 825 00:37:20,453 --> 00:37:23,573 Speaker 8: support to help them get off the drugs. If they 826 00:37:23,693 --> 00:37:28,293 Speaker 8: failed again, then we didn't. It didn't become a disciplinary 827 00:37:28,373 --> 00:37:31,853 Speaker 8: issue until such time as it was causing a hazard 828 00:37:31,973 --> 00:37:36,413 Speaker 8: for others. But then once we got through all of that, 829 00:37:37,053 --> 00:37:39,813 Speaker 8: we just got to the stage of introducing random blood test, 830 00:37:40,613 --> 00:37:44,213 Speaker 8: random drug testing, and we did it from from the 831 00:37:44,253 --> 00:37:47,013 Speaker 8: top to the bottom, every single person. I mean, as 832 00:37:47,053 --> 00:37:55,133 Speaker 8: a director, I was drug tested about nine times. Yep, lucky, lucky, 833 00:37:56,853 --> 00:38:00,293 Speaker 8: but it was truly random. And what it meant was that, 834 00:38:01,053 --> 00:38:04,813 Speaker 8: as I say, a health and safety record significantly improved. 835 00:38:05,733 --> 00:38:08,133 Speaker 8: People were far more were engaged, we had a much 836 00:38:08,813 --> 00:38:10,373 Speaker 8: where environment as a result. 837 00:38:11,893 --> 00:38:14,373 Speaker 3: Sorry, Glenn, we've just got to jump out there and 838 00:38:14,413 --> 00:38:15,773 Speaker 3: go to the news. I thank you for your call. 839 00:38:15,893 --> 00:38:17,692 Speaker 4: Interesting, Yeah, what a great call. We're going to carry 840 00:38:17,733 --> 00:38:20,093 Speaker 4: this on after two o'clock, so love to hear from you. 841 00:38:20,533 --> 00:38:23,413 Speaker 4: A concrete boss has said that drugs and alcohol for 842 00:38:23,453 --> 00:38:26,253 Speaker 4: the reason he can't find staff. Is that a situation 843 00:38:26,413 --> 00:38:28,692 Speaker 4: you're facing right now as a trade e O eight 844 00:38:28,813 --> 00:38:30,732 Speaker 4: hundred and eighty ten eighty is the number to call. 845 00:38:30,813 --> 00:38:33,173 Speaker 4: Nine two ninety two is the text number. News and 846 00:38:33,253 --> 00:38:36,053 Speaker 4: sports and weather coming up very fast. Stay right here. 847 00:38:36,133 --> 00:38:39,213 Speaker 4: We're going to carry this on in a few minutes. 848 00:38:39,293 --> 00:38:40,533 Speaker 4: It is three minutes to two. 849 00:38:42,333 --> 00:38:46,013 Speaker 1: Talking with you all afternoon. It's Matt Heathen, Taylor Adams 850 00:38:46,173 --> 00:38:47,973 Speaker 1: Afternoons News Talks. 851 00:38:48,013 --> 00:38:51,893 Speaker 4: It'd be very good afternoon to you. Welcome back into 852 00:38:51,933 --> 00:38:54,613 Speaker 4: the program. It is seven past two now, just before 853 00:38:54,653 --> 00:38:57,453 Speaker 4: we get back into the conversation about drugged ut workers. 854 00:38:58,013 --> 00:38:58,652 Speaker 3: Yeah, that's right. 855 00:38:58,813 --> 00:39:01,893 Speaker 2: So earlier in the show is talking about a stoat 856 00:39:02,933 --> 00:39:04,573 Speaker 2: and I said it was a very good looking stoat 857 00:39:04,653 --> 00:39:08,013 Speaker 2: that my like like sort of a brad pity sort 858 00:39:08,053 --> 00:39:11,133 Speaker 2: of alpha stoat that looked like if there was a 859 00:39:11,253 --> 00:39:14,253 Speaker 2: movie that they needed stoat in it, then that was 860 00:39:14,293 --> 00:39:14,613 Speaker 2: the hero. 861 00:39:14,893 --> 00:39:17,053 Speaker 3: It would be this stoat, right, Yeah, And I told 862 00:39:17,093 --> 00:39:17,253 Speaker 3: you that. 863 00:39:17,293 --> 00:39:19,333 Speaker 2: I told everyone that I put a picture up on 864 00:39:19,453 --> 00:39:22,813 Speaker 2: maheathan z which is my Instagram on the story, so 865 00:39:22,893 --> 00:39:24,813 Speaker 2: people can if they if they wanted to check that out, 866 00:39:24,813 --> 00:39:26,893 Speaker 2: they could go and have a lock Yep, I think 867 00:39:26,933 --> 00:39:28,813 Speaker 2: it was a weasel, So I've got to walk back 868 00:39:28,853 --> 00:39:30,613 Speaker 2: my comments. I think the reason why it was such 869 00:39:30,653 --> 00:39:34,813 Speaker 2: a good looking heroics sort of leading man stoat as 870 00:39:34,853 --> 00:39:35,653 Speaker 2: it's actually a weasel. 871 00:39:35,853 --> 00:39:37,653 Speaker 4: Ah right, I mean a fear it. 872 00:39:37,773 --> 00:39:38,573 Speaker 3: Yeah, sorry, I fear it. 873 00:39:39,133 --> 00:39:40,613 Speaker 2: So if you go there, you'll have to You'll have 874 00:39:40,733 --> 00:39:43,253 Speaker 2: to flick through a bunch of pictures of my dog 875 00:39:43,373 --> 00:39:44,933 Speaker 2: Colin sleeping on his new bed. 876 00:39:44,893 --> 00:39:46,293 Speaker 4: Which is lovely. That's really nice. 877 00:39:46,533 --> 00:39:49,653 Speaker 2: They're talking about cost of living, pricess and inflation. The 878 00:39:49,973 --> 00:39:52,173 Speaker 2: bed I got for my Colin. My dog Colin just 879 00:39:52,293 --> 00:39:55,093 Speaker 2: nineteen ninety five, ok Martin. 880 00:39:54,853 --> 00:39:55,173 Speaker 1: He loves it. 881 00:39:55,213 --> 00:39:56,173 Speaker 4: Wor Yeah, fantastic. 882 00:39:56,413 --> 00:39:58,453 Speaker 2: But then you flicked through a few punishing pictures of 883 00:39:58,493 --> 00:40:00,573 Speaker 2: my dog and you'll get to this stoat, which I'm 884 00:40:00,813 --> 00:40:03,573 Speaker 2: absolutely positive as a fear it now, So I'm but 885 00:40:03,733 --> 00:40:04,453 Speaker 2: humiliated by that. 886 00:40:04,613 --> 00:40:06,453 Speaker 4: Why you have changed and said or is it a fearet? 887 00:40:06,613 --> 00:40:08,813 Speaker 4: I've got some ferre effects for you here if you want. Okay, 888 00:40:09,053 --> 00:40:12,533 Speaker 4: so a ferret larger and stockier, so you know the 889 00:40:12,613 --> 00:40:15,172 Speaker 4: brad pets, Yes, with adults weighing up to one point 890 00:40:15,213 --> 00:40:16,853 Speaker 4: three kilos, So that's a good you know, that's a 891 00:40:16,893 --> 00:40:17,893 Speaker 4: good size of merits. 892 00:40:17,893 --> 00:40:19,813 Speaker 3: I've made a fool of myself again here because I've 893 00:40:19,893 --> 00:40:20,453 Speaker 3: just said. 894 00:40:20,253 --> 00:40:22,893 Speaker 2: I've upgraded this stoat. So a good looking stoat is 895 00:40:22,893 --> 00:40:26,693 Speaker 2: a ferret. Yeah, like a powerful, big muscular stoat is 896 00:40:26,693 --> 00:40:28,212 Speaker 2: a ferret. You don't get a stocky stoat. 897 00:40:28,333 --> 00:40:28,813 Speaker 16: But there we go. 898 00:40:28,973 --> 00:40:30,053 Speaker 4: Good to clarify that, Okay. 899 00:40:30,213 --> 00:40:33,053 Speaker 2: So anyway, just to finish off, that ferret was very 900 00:40:33,093 --> 00:40:35,253 Speaker 2: good at dealing with his rabbit population down there in 901 00:40:35,293 --> 00:40:35,893 Speaker 2: central Taga. 902 00:40:35,973 --> 00:40:38,733 Speaker 4: Yeah, and nobody said it wasn't good looking. So yeah, fantastic, 903 00:40:38,893 --> 00:40:40,853 Speaker 4: right right back to this discussion we're having. 904 00:40:40,933 --> 00:40:42,693 Speaker 3: So put that key issue behind us and move on 905 00:40:42,773 --> 00:40:43,333 Speaker 3: to this other one. 906 00:40:43,413 --> 00:40:45,453 Speaker 4: Done and dust. This is a key issue. So a 907 00:40:45,533 --> 00:40:48,172 Speaker 4: concreteor he has claimed drugs and alcohol for the reason 908 00:40:48,253 --> 00:40:51,813 Speaker 4: he can't find good, reliable staff. This is the quote 909 00:40:51,813 --> 00:40:53,293 Speaker 4: from him. He said they all like getting on the 910 00:40:53,333 --> 00:40:55,253 Speaker 4: person on the weekend and the booger sugar, the rec 911 00:40:55,373 --> 00:40:58,373 Speaker 4: quote and certain things like that. So is that really 912 00:40:58,493 --> 00:41:00,133 Speaker 4: true out there? And it appears it is for a 913 00:41:00,173 --> 00:41:01,933 Speaker 4: lot of people that are struggling to find workers. 914 00:41:02,133 --> 00:41:04,293 Speaker 2: Yeah, the sixth is my son twenty two. This is 915 00:41:04,373 --> 00:41:07,693 Speaker 2: Tammy always lands the digger jobs at the dairy factory 916 00:41:07,733 --> 00:41:10,853 Speaker 2: as his boss always knows he will pass the drug tests. 917 00:41:10,853 --> 00:41:11,333 Speaker 3: Proud mum. 918 00:41:11,573 --> 00:41:15,733 Speaker 2: Yeah, so if you know, you're gonna be pushed towards 919 00:41:15,813 --> 00:41:18,732 Speaker 2: higher things, if you're known to be the sober guy. Hey, guys, 920 00:41:18,773 --> 00:41:20,413 Speaker 2: I was working in the late eighties nineties and there 921 00:41:20,453 --> 00:41:22,133 Speaker 2: were a lot of people on weed. But we were 922 00:41:22,173 --> 00:41:24,253 Speaker 2: a different breed back then. We worked hard and we 923 00:41:24,333 --> 00:41:27,172 Speaker 2: were safe people. Right, Okay, yes, this is an interesting 924 00:41:27,253 --> 00:41:29,013 Speaker 2: text as well. Come on, this is stupid. It depends 925 00:41:29,013 --> 00:41:31,333 Speaker 2: who you are. I can work hungover fine, others can't. 926 00:41:31,373 --> 00:41:34,613 Speaker 2: I'm a landscaper telling you. I'm telling you now. 927 00:41:34,733 --> 00:41:37,333 Speaker 3: My whole crew are stoned or hungover most days. I 928 00:41:37,453 --> 00:41:38,853 Speaker 3: have two boys. They are like me. 929 00:41:39,413 --> 00:41:42,933 Speaker 2: I smoke with the boys on the job, escalating tight 930 00:41:43,053 --> 00:41:45,693 Speaker 2: squad would be crazy if I ping them for what 931 00:41:45,773 --> 00:41:48,373 Speaker 2: I do. We've cracked beers before lunch and still got 932 00:41:48,413 --> 00:41:51,853 Speaker 2: the job done. We've had if all accidents. This is 933 00:41:51,933 --> 00:41:54,093 Speaker 2: just a beat up. It's how you do the job, 934 00:41:54,253 --> 00:41:55,133 Speaker 2: not what you were on. 935 00:41:55,413 --> 00:41:57,013 Speaker 3: When you do the job. Love the show. 936 00:41:57,373 --> 00:41:59,373 Speaker 4: Yeah, that's all of it. I mean, is that integrity 937 00:41:59,453 --> 00:42:02,692 Speaker 4: that it's he's you know, Johnny doing what the other 938 00:42:02,733 --> 00:42:03,212 Speaker 4: boys are doing. 939 00:42:03,213 --> 00:42:05,692 Speaker 3: Anyway, has it integrity to crack beers before lunch? 940 00:42:06,413 --> 00:42:08,813 Speaker 4: Maybe not for the clients. I mean, hell of an 941 00:42:08,813 --> 00:42:09,533 Speaker 4: admission to make. 942 00:42:09,893 --> 00:42:12,893 Speaker 2: If you come around to you know, you know, we 943 00:42:13,173 --> 00:42:15,493 Speaker 2: know Eve employed this landscape company. You come around, it's 944 00:42:16,133 --> 00:42:18,933 Speaker 2: eleven fifteen am and they're cracking the beers, having a 945 00:42:18,973 --> 00:42:19,773 Speaker 2: couple of doughbros. 946 00:42:19,853 --> 00:42:20,053 Speaker 3: Yep. 947 00:42:20,933 --> 00:42:23,573 Speaker 2: Are you fine if they've got enough work done when 948 00:42:23,613 --> 00:42:24,573 Speaker 2: you come back round at five? 949 00:42:24,733 --> 00:42:27,333 Speaker 4: If it looks good, yeah, Oh, eight hundred eighty ten 950 00:42:27,413 --> 00:42:30,373 Speaker 4: eighty is they've had they've had if all accidents, so 951 00:42:30,653 --> 00:42:34,652 Speaker 4: it's ages they've had some. Oh eight hundred eighty ten 952 00:42:34,733 --> 00:42:36,573 Speaker 4: eighty is the number to call if you have in 953 00:42:36,653 --> 00:42:38,933 Speaker 4: trouble finding good workers because you think they are on 954 00:42:39,053 --> 00:42:41,453 Speaker 4: drugs and you do drug testing in your workplace. We'd 955 00:42:41,533 --> 00:42:42,253 Speaker 4: love to hear from you. 956 00:42:42,413 --> 00:42:42,773 Speaker 3: What is this? 957 00:42:42,893 --> 00:42:45,333 Speaker 2: As an alcohol drug worker myself, I was asked to 958 00:42:45,373 --> 00:42:48,053 Speaker 2: be tested as someone accused me of using myth So 959 00:42:48,253 --> 00:42:51,292 Speaker 2: they are they a worker that's on alcohol and drugs 960 00:42:51,373 --> 00:42:54,133 Speaker 2: or someone that looks into the alcoholic drugs? I was 961 00:42:54,213 --> 00:42:56,053 Speaker 2: tested as someone accused me of being on myth. I 962 00:42:56,173 --> 00:42:59,773 Speaker 2: said to them, sure, but you must test all staff. 963 00:42:59,853 --> 00:43:02,333 Speaker 2: I had no issue with being tested, but there was 964 00:43:02,333 --> 00:43:04,533 Speaker 2: a lot of staff that were rigid cannabis users, probably 965 00:43:04,533 --> 00:43:07,573 Speaker 2: half the organization. It was common knowledge amongst staff and management, 966 00:43:07,893 --> 00:43:10,013 Speaker 2: A safety say. I never needed to take the test. 967 00:43:10,213 --> 00:43:10,773 Speaker 1: Far around. 968 00:43:10,853 --> 00:43:13,893 Speaker 4: I wonder what organization that was. Now, Oh, eight hundred 969 00:43:13,933 --> 00:43:16,413 Speaker 4: eighty ten eighty is the number to call taking your 970 00:43:16,853 --> 00:43:19,933 Speaker 4: stories on this one? It is eleven past two. Back 971 00:43:20,053 --> 00:43:20,573 Speaker 4: very surely? 972 00:43:21,093 --> 00:43:24,692 Speaker 2: Is it hard to find workers in New Zealand who 973 00:43:24,773 --> 00:43:27,733 Speaker 2: are not wasted on booze and the nose candy as 974 00:43:27,773 --> 00:43:28,933 Speaker 2: this guy has suggested? 975 00:43:31,173 --> 00:43:35,653 Speaker 1: Wow, your home of afternoon talk, mad Heathen Taylor Adams 976 00:43:35,773 --> 00:43:39,733 Speaker 1: afternoons call Oh, eight hundred eighty ten eighty news talk said, be. 977 00:43:41,973 --> 00:43:44,413 Speaker 4: For a good afternoon tu fourteen past two. Plenty of 978 00:43:44,493 --> 00:43:45,212 Speaker 4: texts coming through. 979 00:43:45,333 --> 00:43:48,373 Speaker 2: This is on another issue around the stoat and the 980 00:43:48,533 --> 00:43:52,573 Speaker 2: ferret pounds for pound, which one's tougher stoats. 981 00:43:52,333 --> 00:43:53,253 Speaker 3: Ferrets or weasels. 982 00:43:53,493 --> 00:43:54,373 Speaker 4: It's a great question. 983 00:43:54,693 --> 00:43:57,453 Speaker 2: I would say stoats ferrets, then weasels. I'd say weasels 984 00:43:57,493 --> 00:43:59,533 Speaker 2: are tougher than ferrets, and ferrets are tougher than stoats. 985 00:43:59,653 --> 00:44:01,133 Speaker 4: We're going to look into that and I find an 986 00:44:01,133 --> 00:44:01,893 Speaker 4: answer on that one. 987 00:44:02,013 --> 00:44:04,053 Speaker 2: Yeah, that is a great question, but it's a sad question. 988 00:44:04,133 --> 00:44:07,693 Speaker 2: It's not really what we're focusing on. Hi, guys, Class 989 00:44:07,733 --> 00:44:09,973 Speaker 2: five truck. And I think the drug and alcohol testing 990 00:44:10,093 --> 00:44:12,053 Speaker 2: is great. Makes me feel safer on the roads. The 991 00:44:12,093 --> 00:44:15,253 Speaker 2: young guys these days keep getting busted. Seems some youth 992 00:44:15,333 --> 00:44:18,133 Speaker 2: don't care. Other issue is so many foreign drivers end 993 00:44:18,173 --> 00:44:21,053 Speaker 2: up on the roads that don't fully understand our road rules. 994 00:44:21,213 --> 00:44:23,813 Speaker 2: A pretty dangerous feeling. Good to know that people aren't 995 00:44:23,813 --> 00:44:25,373 Speaker 2: wasted as well. That's from Gazer. 996 00:44:25,533 --> 00:44:26,573 Speaker 4: Yeah, thank you very much. 997 00:44:27,493 --> 00:44:27,773 Speaker 15: Jeff. 998 00:44:28,173 --> 00:44:29,173 Speaker 4: What's your take on this. 999 00:44:30,773 --> 00:44:33,413 Speaker 7: I might have thought about drugs and alcohol made I'll 1000 00:44:33,453 --> 00:44:36,533 Speaker 7: tell you what. I worked an orphand in the eighties 1001 00:44:37,093 --> 00:44:44,173 Speaker 7: on several construction jobs and alcohol and drug became a 1002 00:44:44,333 --> 00:44:49,172 Speaker 7: big problem. Pletcher's bought a van on and they were 1003 00:44:49,253 --> 00:44:54,253 Speaker 7: drug testing and alcohol testing. If you went over, you 1004 00:44:54,333 --> 00:44:58,212 Speaker 7: were saying home, come back in a week's time. If 1005 00:44:58,253 --> 00:44:59,973 Speaker 7: you did it again, you're fired. 1006 00:45:00,093 --> 00:45:02,413 Speaker 8: You're down the road, which is a good thing. 1007 00:45:02,933 --> 00:45:03,133 Speaker 3: Yeah. 1008 00:45:03,333 --> 00:45:05,692 Speaker 4: Absolutely, And so how long ago was that, Jeff Well, 1009 00:45:05,733 --> 00:45:07,933 Speaker 4: I mentioned they're still probably doing something similar now. 1010 00:45:09,013 --> 00:45:11,973 Speaker 7: Yeah, And it wasn't just there. It was main Seal Construction. 1011 00:45:12,173 --> 00:45:15,692 Speaker 7: That's the company that went under. But they were having 1012 00:45:15,813 --> 00:45:18,373 Speaker 7: major problems. And I was working on the own who 1013 00:45:20,053 --> 00:45:25,573 Speaker 7: Who Police station and that was a problem that you know, 1014 00:45:25,693 --> 00:45:30,333 Speaker 7: the young guys were coming to work, you know that 1015 00:45:30,613 --> 00:45:34,693 Speaker 7: they were just in fup on Disneyland, and but that 1016 00:45:34,853 --> 00:45:36,252 Speaker 7: one of flences was bad. 1017 00:45:36,933 --> 00:45:37,933 Speaker 6: It was really bad. 1018 00:45:38,053 --> 00:45:40,933 Speaker 7: I never seen anything like it because I didn't know 1019 00:45:41,053 --> 00:45:46,653 Speaker 7: all about this stuff until when I worked on reconstruction jobs. 1020 00:45:47,453 --> 00:45:52,053 Speaker 7: So when you sign a contract now, I'm not building 1021 00:45:52,133 --> 00:45:55,293 Speaker 7: now because of my age, but if you sign any 1022 00:45:55,373 --> 00:46:00,533 Speaker 7: kind of a contract that says do you object or 1023 00:46:00,813 --> 00:46:04,533 Speaker 7: are you agreeable to have a drug and alcohol tests? 1024 00:46:05,533 --> 00:46:08,613 Speaker 7: And I was put this, of course i am because 1025 00:46:08,613 --> 00:46:09,613 Speaker 7: I don't have that problem. 1026 00:46:10,133 --> 00:46:12,973 Speaker 2: Thanks for you cool, Jeff, you're pretty brazen to be. Yeah, 1027 00:46:14,333 --> 00:46:16,533 Speaker 2: you know, building the police station when you're wasted on drunks. 1028 00:46:17,133 --> 00:46:18,333 Speaker 4: That's a hell of a power move. 1029 00:46:18,413 --> 00:46:21,213 Speaker 2: This sounds like you should be drug testing your callers. 1030 00:46:21,813 --> 00:46:24,133 Speaker 2: I run a big renovations company. None of my guys 1031 00:46:24,253 --> 00:46:26,653 Speaker 2: drink or do drugs. We always get the job done properly, 1032 00:46:26,973 --> 00:46:28,732 Speaker 2: on budget and on time. It took me a long 1033 00:46:28,813 --> 00:46:30,293 Speaker 2: time to put this team together. 1034 00:46:31,693 --> 00:46:32,093 Speaker 3: Drugs. 1035 00:46:34,053 --> 00:46:37,493 Speaker 2: Drugs mean falling drink drunks, fall off ladders, and crackhead 1036 00:46:37,533 --> 00:46:40,853 Speaker 2: steal tools to sell for drugs of sex several. Yeah, 1037 00:46:40,893 --> 00:46:42,573 Speaker 2: I mean, what's that saying? Never go into business with 1038 00:46:42,613 --> 00:46:43,973 Speaker 2: a glass barbecue enthusiasm. 1039 00:46:44,093 --> 00:46:47,373 Speaker 4: Yeah, that's a good, good advice that one kiddo. Guys 1040 00:46:47,413 --> 00:46:51,173 Speaker 4: I used to drive trucks. Also, medium dependent drug user, 1041 00:46:51,333 --> 00:46:56,253 Speaker 4: only ever use speed amphetamine or dixie am fetamine as 1042 00:46:56,253 --> 00:46:58,853 Speaker 4: a tool to stay awake, not actually get high. I 1043 00:46:59,013 --> 00:47:01,773 Speaker 4: drove line hall units all over New Zealand for ten 1044 00:47:01,813 --> 00:47:04,253 Speaker 4: plus years and never failed to drug test because you 1045 00:47:04,333 --> 00:47:06,853 Speaker 4: can peek class as out in twenty four hours. All 1046 00:47:06,893 --> 00:47:09,413 Speaker 4: the dope smokers got smashed when the drug van came 1047 00:47:09,533 --> 00:47:13,373 Speaker 4: to site. The scariest part is, though, is you'll always 1048 00:47:13,453 --> 00:47:16,853 Speaker 4: find some kiwi butler who is just drinking five hundred 1049 00:47:16,893 --> 00:47:21,213 Speaker 4: mil versus smoking siggi's and out working and outperforming all 1050 00:47:21,253 --> 00:47:24,653 Speaker 4: the meth and amphetamine users out there, right, had some 1051 00:47:24,733 --> 00:47:25,853 Speaker 4: good inside and knowledge. 1052 00:47:25,613 --> 00:47:28,173 Speaker 3: Do the old trucker speed situation? Yeah, you who are 1053 00:47:28,213 --> 00:47:28,653 Speaker 3: the rumors? 1054 00:47:29,373 --> 00:47:31,013 Speaker 2: A few years ago I noticed some of the road 1055 00:47:31,093 --> 00:47:34,373 Speaker 2: crew that we're revealing resealing the road. I guess it's 1056 00:47:34,373 --> 00:47:36,973 Speaker 2: he's outside my real property having a doobie behind my hedge, 1057 00:47:37,333 --> 00:47:40,172 Speaker 2: I went out with one of my own I ended 1058 00:47:40,253 --> 00:47:42,493 Speaker 2: up getting my whole driveway tars sealed for a bag 1059 00:47:42,573 --> 00:47:43,613 Speaker 2: of great deal. 1060 00:47:44,293 --> 00:47:45,973 Speaker 4: Smart working Henry, Yeah, good work. 1061 00:47:46,653 --> 00:47:48,093 Speaker 3: That's story out of Twisted its Tale. 1062 00:47:48,253 --> 00:47:51,253 Speaker 4: Yeah yeah, it's a win win situation. A right, one 1063 00:47:51,373 --> 00:47:53,533 Speaker 4: hundred and eighty ten eighty is the number to call. 1064 00:47:53,653 --> 00:47:56,893 Speaker 4: Are you like this concrete who is struggling to find 1065 00:47:57,133 --> 00:48:00,213 Speaker 4: good reliable staff because they're all on the drink and drugs, 1066 00:48:00,293 --> 00:48:02,133 Speaker 4: really keen to hear from you and coming up very 1067 00:48:02,133 --> 00:48:03,453 Speaker 4: shortly as well. We are going to have a chat 1068 00:48:03,493 --> 00:48:06,493 Speaker 4: to Gareth Abden, or employment law expert and friend of 1069 00:48:06,653 --> 00:48:09,013 Speaker 4: the show. There's a few questions come, I mean two 1070 00:48:09,213 --> 00:48:11,172 Speaker 4: are nine to ninety two about drug testing, so we'll 1071 00:48:11,173 --> 00:48:11,773 Speaker 4: put those to him. 1072 00:48:11,933 --> 00:48:14,693 Speaker 3: How would you fail an alcohol tests? 1073 00:48:14,893 --> 00:48:14,933 Speaker 14: Is? 1074 00:48:15,013 --> 00:48:17,533 Speaker 2: How much too much? Having drinks over the weekend? Would 1075 00:48:17,533 --> 00:48:19,253 Speaker 2: you fail an our contest on Monday? Well, I mean 1076 00:48:19,493 --> 00:48:21,333 Speaker 2: if you're if you're not drunk, then you can't fail 1077 00:48:21,373 --> 00:48:23,533 Speaker 2: the alcohol test, right, yeah, so it leaves your system 1078 00:48:23,573 --> 00:48:25,652 Speaker 2: a lot quicker than the cannabis does. 1079 00:48:25,813 --> 00:48:25,973 Speaker 16: Yep. 1080 00:48:26,133 --> 00:48:27,773 Speaker 4: Right, Oh, eight hundred and eighty ten eighty is the 1081 00:48:27,853 --> 00:48:30,653 Speaker 4: number to call, but Gareth Abdnor is up next. It 1082 00:48:30,813 --> 00:48:31,853 Speaker 4: is nineteen past two. 1083 00:48:35,813 --> 00:48:39,213 Speaker 1: Matt Heathen Tyler Adams afternoons call oh eight hundred and 1084 00:48:39,253 --> 00:48:42,133 Speaker 1: eighty ten eighty on us talk ZV for a good afternoon. 1085 00:48:42,213 --> 00:48:44,253 Speaker 4: It is twenty one past two. So there's been a 1086 00:48:44,293 --> 00:48:46,653 Speaker 4: heck of a lot of questions come through on the 1087 00:48:46,733 --> 00:48:50,013 Speaker 4: phone and on our text machine about the legal ramifications 1088 00:48:50,053 --> 00:48:52,333 Speaker 4: of drug tests and it works. So Gareth ab Denoor 1089 00:48:52,493 --> 00:48:55,133 Speaker 4: he is an expert in employment law and director at 1090 00:48:55,173 --> 00:48:57,933 Speaker 4: abden Or Law, friend of the show, and he is 1091 00:48:58,053 --> 00:49:02,933 Speaker 4: back with us. Gareth, very good afternoon to you, Gareth. 1092 00:49:03,093 --> 00:49:06,613 Speaker 2: So, if you are a company and you think that 1093 00:49:06,933 --> 00:49:08,733 Speaker 2: you know you're an employer, and you think that some 1094 00:49:08,853 --> 00:49:12,253 Speaker 2: of your workers may be drug and paired, what can 1095 00:49:12,333 --> 00:49:14,253 Speaker 2: you do? Can you just spring a test on them? 1096 00:49:14,333 --> 00:49:15,773 Speaker 2: Or is there a process leading up to it? 1097 00:49:17,253 --> 00:49:20,813 Speaker 10: Yeah, as always, there's definitely a process, and the first 1098 00:49:21,013 --> 00:49:25,533 Speaker 10: step is that the employer really needs to have a 1099 00:49:25,773 --> 00:49:30,813 Speaker 10: drug testing policy and ideally some provisions in the employment 1100 00:49:30,853 --> 00:49:32,373 Speaker 10: agreement that gives them the. 1101 00:49:32,493 --> 00:49:33,853 Speaker 3: Right to drug test. 1102 00:49:34,893 --> 00:49:38,413 Speaker 10: Those drug tests can either be on a random basis 1103 00:49:38,813 --> 00:49:42,093 Speaker 10: or if they have cause. And what that means is 1104 00:49:42,693 --> 00:49:46,253 Speaker 10: if you see someone behaving strangely, or they have an 1105 00:49:46,373 --> 00:49:51,853 Speaker 10: accident and the circumstances but weird. Then that gives you 1106 00:49:51,933 --> 00:49:53,213 Speaker 10: the ability to test them. 1107 00:49:54,173 --> 00:49:56,413 Speaker 2: What rights does the worker have when it comes to 1108 00:49:56,493 --> 00:50:00,133 Speaker 2: drug testing? Can you know, can you reject a drug test? 1109 00:50:01,933 --> 00:50:06,613 Speaker 10: There you can refuse to take the drug test? Of course, 1110 00:50:07,093 --> 00:50:10,613 Speaker 10: I always say that, you know, we have lots of choices, 1111 00:50:10,733 --> 00:50:15,853 Speaker 10: but they're potentially consequences to those choices. And so if 1112 00:50:16,013 --> 00:50:19,573 Speaker 10: the employment agreement provides for drug testing, or there's a 1113 00:50:19,653 --> 00:50:23,013 Speaker 10: policy that provides for drug testing, and you refuse to 1114 00:50:23,093 --> 00:50:29,453 Speaker 10: take the test, then often the employer can they can 1115 00:50:29,533 --> 00:50:34,573 Speaker 10: make decisions based on your refusal. A lot of employment 1116 00:50:34,653 --> 00:50:38,933 Speaker 10: agreements actually say that refusing to take the test is 1117 00:50:39,053 --> 00:50:44,093 Speaker 10: itself grounds for disinary actions. So might be a case 1118 00:50:44,173 --> 00:50:46,133 Speaker 10: of damned if you do, damned if you don't. 1119 00:50:46,413 --> 00:50:48,893 Speaker 2: So if you're an employer, you should and you're worried 1120 00:50:48,893 --> 00:50:51,333 Speaker 2: about this, you should have it in the employment contract, 1121 00:50:52,013 --> 00:50:54,933 Speaker 2: you know, before for people get on site, what about 1122 00:50:54,933 --> 00:50:57,413 Speaker 2: the type of test? Because someone might be like, you know, 1123 00:50:57,773 --> 00:51:00,533 Speaker 2: I don't mind being tested, but I don't really feel 1124 00:51:00,613 --> 00:51:03,773 Speaker 2: like peeing into something, you know, can you swap me? 1125 00:51:05,853 --> 00:51:06,093 Speaker 6: Yeah? 1126 00:51:06,493 --> 00:51:09,053 Speaker 10: I mean this is often covered in the drug testing 1127 00:51:09,173 --> 00:51:14,253 Speaker 10: policy as well. What I generally say to clients has 1128 00:51:14,613 --> 00:51:23,053 Speaker 10: followed best practice. It's amazing how pretty robust individuals become 1129 00:51:23,293 --> 00:51:26,133 Speaker 10: very shy when it comes to drug testing, especially when 1130 00:51:26,173 --> 00:51:28,453 Speaker 10: they think they're going to return a non negative key. 1131 00:51:29,693 --> 00:51:30,853 Speaker 3: So certainly you can't. 1132 00:51:30,933 --> 00:51:34,453 Speaker 2: You know, you get what's it called state rights? 1133 00:51:34,613 --> 00:51:35,333 Speaker 3: Right, that's right? 1134 00:51:35,453 --> 00:51:35,652 Speaker 5: Even. 1135 00:51:38,253 --> 00:51:41,533 Speaker 4: Yeah, And when it comes to random testing, Garris, how 1136 00:51:41,653 --> 00:51:44,853 Speaker 4: random is random? Does it have to be fully random? 1137 00:51:45,133 --> 00:51:47,653 Speaker 4: Or our employers with the right to say this is 1138 00:51:47,733 --> 00:51:50,053 Speaker 4: random drug testing, but we're coming after Priva because Treva 1139 00:51:50,093 --> 00:51:51,013 Speaker 4: always looks a bit often. 1140 00:51:52,693 --> 00:51:57,693 Speaker 10: Well, technically that's not random. I'm not going to pretend 1141 00:51:58,013 --> 00:52:03,213 Speaker 10: that employers don't sometimes say that it's random when it's not. 1142 00:52:03,413 --> 00:52:06,373 Speaker 10: Of course, you have to prove that, you have to, 1143 00:52:06,933 --> 00:52:11,013 Speaker 10: you have to disprove that it's random. But as I 1144 00:52:11,093 --> 00:52:14,333 Speaker 10: said before, much better to have a robust policy, have 1145 00:52:14,613 --> 00:52:18,013 Speaker 10: robust provisions in the employment agreement, and then if you've 1146 00:52:18,013 --> 00:52:21,213 Speaker 10: got suspicions, you don't need to pretend it's random. 1147 00:52:22,333 --> 00:52:24,613 Speaker 3: How fast should you go? Should you do? 1148 00:52:24,773 --> 00:52:27,813 Speaker 2: Everyone from the top down, so if you're you're the boss, 1149 00:52:27,973 --> 00:52:29,933 Speaker 2: you should all be put into the lottery for the 1150 00:52:30,013 --> 00:52:30,933 Speaker 2: random testing. 1151 00:52:33,453 --> 00:52:37,453 Speaker 10: Yeah, that's a that's an interesting one. I've I've never 1152 00:52:37,573 --> 00:52:41,212 Speaker 10: been asked that before. I think it really comes down 1153 00:52:41,333 --> 00:52:46,653 Speaker 10: to the nature of the jobs. If you're working in 1154 00:52:46,733 --> 00:52:50,732 Speaker 10: a safety sensitive role, I think it's you know, it's 1155 00:52:50,853 --> 00:52:53,053 Speaker 10: pretty fair enough that you're going to be drug tested. 1156 00:52:54,053 --> 00:52:58,533 Speaker 10: We don't want anyone operating heavy machinery or working at 1157 00:52:58,573 --> 00:53:04,093 Speaker 10: the airport or anything like that. You know, working in 1158 00:53:04,133 --> 00:53:07,212 Speaker 10: a job where if you don't pay attention, you might 1159 00:53:07,293 --> 00:53:09,973 Speaker 10: get hurt, or you or someone else might get sued. 1160 00:53:11,533 --> 00:53:15,133 Speaker 2: To find that though, because any given job there is risks. 1161 00:53:15,293 --> 00:53:17,293 Speaker 2: I mean, you can have someone climbing up to get 1162 00:53:17,333 --> 00:53:20,093 Speaker 2: a stapler from the stationary cupboard and if they're drunken 1163 00:53:20,213 --> 00:53:25,773 Speaker 2: aspect of breakup, yeah, so can any kinds of employees 1164 00:53:25,893 --> 00:53:28,053 Speaker 2: put a drug test in place or that you have 1165 00:53:28,213 --> 00:53:30,213 Speaker 2: to say, you have to show that this is this 1166 00:53:30,413 --> 00:53:33,212 Speaker 2: is a reasonably dangerous workplace where people can get injured 1167 00:53:33,293 --> 00:53:35,093 Speaker 2: or you know, you can induce yourself for others before 1168 00:53:35,133 --> 00:53:35,493 Speaker 2: you can do it. 1169 00:53:35,533 --> 00:53:40,453 Speaker 10: I think it's far easier to justify in a safety 1170 00:53:40,533 --> 00:53:45,133 Speaker 10: sensitive role, as you say, you could hurt yourself doing anything. 1171 00:53:46,573 --> 00:53:49,212 Speaker 10: But I generally look at it and I go, would 1172 00:53:49,213 --> 00:53:52,652 Speaker 10: an ordinary person think this was a safety sensitive role. 1173 00:53:53,053 --> 00:53:57,013 Speaker 10: You know, are you using sharp implements, heavy machinery, something 1174 00:53:57,133 --> 00:53:57,333 Speaker 10: like that. 1175 00:53:57,933 --> 00:53:59,533 Speaker 3: What are the consequences of. 1176 00:54:01,293 --> 00:54:05,213 Speaker 10: Someone not really being up to it while they're working, 1177 00:54:06,213 --> 00:54:08,733 Speaker 10: And that's what we need to look at. What lawyers 1178 00:54:08,813 --> 00:54:13,373 Speaker 10: sometimes get wrong is it's not the fact that someone's 1179 00:54:14,133 --> 00:54:19,693 Speaker 10: used drugs or uses drugs. Is it having an impact 1180 00:54:19,773 --> 00:54:21,893 Speaker 10: on them at work? Or is there a risk of 1181 00:54:21,973 --> 00:54:24,692 Speaker 10: that having an impact on meme at work? So we're 1182 00:54:24,733 --> 00:54:29,533 Speaker 10: not the moral police, but it needs to actually be 1183 00:54:29,693 --> 00:54:30,093 Speaker 10: a risk. 1184 00:54:31,293 --> 00:54:34,453 Speaker 2: Now, it's an interesting one with alcohols are very different 1185 00:54:34,533 --> 00:54:38,493 Speaker 2: from other drugs, so you can be pretty hungover and 1186 00:54:38,893 --> 00:54:41,333 Speaker 2: maybe you know, I mean, you're probably not going to 1187 00:54:41,373 --> 00:54:44,813 Speaker 2: detect that. Can can an employer go, well, I'm this 1188 00:54:44,933 --> 00:54:47,813 Speaker 2: person's clearly turning up to work hungover the day after day, 1189 00:54:48,293 --> 00:54:51,613 Speaker 2: but I can't test for it. So what recourse does 1190 00:54:51,693 --> 00:54:54,533 Speaker 2: the you know, what can an employer do under that circumstance. 1191 00:54:55,933 --> 00:54:57,573 Speaker 3: Yeah, I think it's a matter of degree. 1192 00:54:57,893 --> 00:55:03,173 Speaker 10: You know, I think many people in our society have 1193 00:55:03,413 --> 00:55:06,493 Speaker 10: turned up to work after maybe having a one two 1194 00:55:06,613 --> 00:55:09,613 Speaker 10: many at a party or on the weekend or something 1195 00:55:09,733 --> 00:55:12,693 Speaker 10: like that. But if what an employer sees a pattern 1196 00:55:12,773 --> 00:55:18,213 Speaker 10: of someone being really unwell, being really hung over on 1197 00:55:18,293 --> 00:55:23,293 Speaker 10: a regular basis. That could point to, you know, a 1198 00:55:23,413 --> 00:55:27,613 Speaker 10: dependency problem. It could also be an indicator of other 1199 00:55:27,813 --> 00:55:32,652 Speaker 10: issues that the employer should be looking into. If it's 1200 00:55:32,733 --> 00:55:35,373 Speaker 10: just a one off and someone so cripped that they 1201 00:55:35,653 --> 00:55:39,133 Speaker 10: shouldn't be at work and shouldn't be working, well, you know, 1202 00:55:39,213 --> 00:55:41,053 Speaker 10: it might be that you get sent home for a 1203 00:55:41,133 --> 00:55:41,573 Speaker 10: sick day. 1204 00:55:42,333 --> 00:55:42,533 Speaker 5: Yeah. 1205 00:55:42,533 --> 00:55:44,693 Speaker 2: I remember one, particularly a New Year's Day when I 1206 00:55:44,853 --> 00:55:47,373 Speaker 2: was forced to work at Real Groovy Records in Auckland. 1207 00:55:47,453 --> 00:55:49,253 Speaker 3: I didn't get much work done. 1208 00:55:49,253 --> 00:55:50,933 Speaker 2: I spent most of the day with my head pressed 1209 00:55:50,933 --> 00:55:54,172 Speaker 2: against the toilet bowl, just trying to sort of stalize. 1210 00:55:53,693 --> 00:55:55,133 Speaker 4: That sounds like a sick name should have been a 1211 00:55:55,133 --> 00:55:55,493 Speaker 4: sick day. 1212 00:55:55,733 --> 00:56:00,773 Speaker 2: Well, there was definitely second valve in that. And finally, 1213 00:56:01,973 --> 00:56:03,693 Speaker 2: what I mean one of the big problems. You know, 1214 00:56:03,733 --> 00:56:05,693 Speaker 2: we talk about drag and payment, alcohol payment, but what 1215 00:56:05,773 --> 00:56:07,853 Speaker 2: about just tiredness And a lot of people have been 1216 00:56:07,893 --> 00:56:11,652 Speaker 2: texting and saying that their employees are playing video games 1217 00:56:11,733 --> 00:56:14,213 Speaker 2: till four am and then coming to work and just 1218 00:56:14,333 --> 00:56:16,252 Speaker 2: being too tired to work. 1219 00:56:16,373 --> 00:56:16,493 Speaker 7: Is that? 1220 00:56:17,133 --> 00:56:18,093 Speaker 3: I mean, what do you do about that? 1221 00:56:19,373 --> 00:56:24,933 Speaker 10: Well, that's potentially a disciplinary issue and it's potentially a 1222 00:56:25,053 --> 00:56:30,773 Speaker 10: performance issue. And you know, you get paid to carry 1223 00:56:30,813 --> 00:56:34,453 Speaker 10: out a role, to do a job. If if you 1224 00:56:34,853 --> 00:56:37,973 Speaker 10: choose to do things in your own time, that means 1225 00:56:38,053 --> 00:56:41,813 Speaker 10: you can't do your job. As I said before, there 1226 00:56:41,853 --> 00:56:48,173 Speaker 10: may be consequences to those choices. So you don't have 1227 00:56:48,293 --> 00:56:51,453 Speaker 10: to be taking drugs or be hungover for it to 1228 00:56:51,533 --> 00:56:55,013 Speaker 10: be an issue, and there are things that employers can do. 1229 00:56:55,653 --> 00:56:57,853 Speaker 4: Yeah, Gareth, really good to get you on and get 1230 00:56:57,893 --> 00:57:00,253 Speaker 4: your expertise. Thanks very much for having a chat with us, 1231 00:57:01,453 --> 00:57:03,733 Speaker 4: My pleasure, and we'll catch you again on Wednesday afternoon. 1232 00:57:03,813 --> 00:57:06,493 Speaker 2: Have you been drinking today or been on anything in 1233 00:57:06,533 --> 00:57:08,893 Speaker 2: the last forty eight hours or is this to random 1234 00:57:08,933 --> 00:57:10,373 Speaker 2: to do this vivil test right now? 1235 00:57:10,493 --> 00:57:12,573 Speaker 3: Gareth, Well, I'm possibly. 1236 00:57:13,173 --> 00:57:16,653 Speaker 10: I couldn't possibly disclose that to myself because then I'd. 1237 00:57:16,453 --> 00:57:16,733 Speaker 3: Have to. 1238 00:57:18,773 --> 00:57:19,093 Speaker 5: Reaction. 1239 00:57:19,373 --> 00:57:21,053 Speaker 4: Yeah, smart, you've been nearable. 1240 00:57:21,573 --> 00:57:24,933 Speaker 3: Self employed random drug testing is it? It's a whole 1241 00:57:25,573 --> 00:57:25,933 Speaker 3: other thing. 1242 00:57:28,493 --> 00:57:30,453 Speaker 4: Yeah, thank you very much, And just a reminder, Gareth, 1243 00:57:30,493 --> 00:57:33,133 Speaker 4: we'll be back with us on Wednesday afternoon at three 1244 00:57:33,133 --> 00:57:35,813 Speaker 4: point thirty taking all your calls and questions on anything 1245 00:57:35,853 --> 00:57:38,293 Speaker 4: to do with employment. That was a great discussion. 1246 00:57:38,413 --> 00:57:39,093 Speaker 3: Yeah, it's good time. 1247 00:57:39,293 --> 00:57:42,253 Speaker 4: Yeah, I had a lot of feedback, shocking, shocking stuff. 1248 00:57:42,293 --> 00:57:42,973 Speaker 4: Thank you very much. 1249 00:57:43,013 --> 00:57:45,693 Speaker 3: And if you could just take this little poddle tyler 1250 00:57:45,733 --> 00:57:46,653 Speaker 3: and take that into the other room. 1251 00:57:46,653 --> 00:57:49,813 Speaker 4: And I'm going to give Gareth another call back. All right? 1252 00:57:49,893 --> 00:57:52,813 Speaker 4: Coming up after the headlines, let's have a chat about 1253 00:57:52,853 --> 00:57:55,173 Speaker 4: self driving cars. They are coming to New Zealand. Test 1254 00:57:55,253 --> 00:57:58,493 Speaker 4: laers outlined the introduction of their flagship tear of their 1255 00:57:58,533 --> 00:58:02,373 Speaker 4: semi autonomous driving software. This is exciting for some, terrifying 1256 00:58:02,453 --> 00:58:02,813 Speaker 4: for others. 1257 00:58:03,093 --> 00:58:06,133 Speaker 2: Yeah, and so when this happens, this isn't there yet, 1258 00:58:06,253 --> 00:58:09,973 Speaker 2: But then driverless taxis you have absolutely no one in 1259 00:58:10,053 --> 00:58:12,773 Speaker 2: the car but the passenger and absolutely, you know, sometimes 1260 00:58:12,813 --> 00:58:14,173 Speaker 2: absolutely no one in the car when it's going to 1261 00:58:14,213 --> 00:58:16,253 Speaker 2: pick up the passenger, as they have in a number 1262 00:58:16,253 --> 00:58:17,613 Speaker 2: of states in the United States. 1263 00:58:18,733 --> 00:58:20,693 Speaker 3: That will be coming to New Zealand, won't it very soon? 1264 00:58:20,773 --> 00:58:21,613 Speaker 3: So how do you feel about that? 1265 00:58:21,733 --> 00:58:23,773 Speaker 2: Have you been in one of these driver's cars over 1266 00:58:23,973 --> 00:58:26,213 Speaker 2: in California is the most famous place that they have 1267 00:58:26,293 --> 00:58:27,973 Speaker 2: in And how do you feel about it? 1268 00:58:28,173 --> 00:58:29,773 Speaker 4: Oh, e one hundred and eighty ten eighty is the 1269 00:58:29,933 --> 00:58:32,813 Speaker 4: number to call? It is twenty nine to three. 1270 00:58:35,293 --> 00:58:38,573 Speaker 14: You talk said the headlines with Blue bubble taxis it's 1271 00:58:38,653 --> 00:58:42,733 Speaker 14: no trouble with a blue bubble confirmation. Overseas and vestas 1272 00:58:42,813 --> 00:58:44,933 Speaker 14: will be allowed to buy a home in New Zealand 1273 00:58:45,253 --> 00:58:48,213 Speaker 14: if they invest a minimum of five million dollars into 1274 00:58:48,293 --> 00:58:51,013 Speaker 14: the country. The coalition has agreed to people with a 1275 00:58:51,093 --> 00:58:54,053 Speaker 14: Golden visa will be allowed to buy or build one 1276 00:58:54,173 --> 00:58:57,533 Speaker 14: home with a minimum value of five million dollars. That 1277 00:58:57,653 --> 00:59:01,013 Speaker 14: equates to less than one percent of Kiwi homes. An 1278 00:59:01,093 --> 00:59:04,293 Speaker 14: elderly woman with breast cancer who went into surgery for 1279 00:59:04,413 --> 00:59:08,093 Speaker 14: a misectomy died from a brain injury after a breathing 1280 00:59:08,173 --> 00:59:10,213 Speaker 14: chin who was mistakenly put into. 1281 00:59:10,093 --> 00:59:12,013 Speaker 4: Her esophagus consuming. 1282 00:59:12,053 --> 00:59:15,453 Speaker 14: New Zealand says the large fine handed out to Jetstar sends. 1283 00:59:15,253 --> 00:59:16,213 Speaker 4: A strong message. 1284 00:59:16,613 --> 00:59:19,333 Speaker 14: Jetstar has been fined more than two million dollars for 1285 00:59:19,453 --> 00:59:24,253 Speaker 14: misleading nearly one hundred thousand customers about their compensation rights. 1286 00:59:24,813 --> 00:59:27,453 Speaker 14: It's make or break for our smaller airlines as the 1287 00:59:27,533 --> 00:59:30,733 Speaker 14: government pushes to keep them going. It's backing at risk 1288 00:59:30,893 --> 00:59:33,773 Speaker 14: regional air routes with up to thirty million dollars and 1289 00:59:33,893 --> 00:59:38,373 Speaker 14: loans from the Regional Infrastructure Fund. New Zealand's second largest 1290 00:59:38,453 --> 00:59:41,693 Speaker 14: dairy company, Open Country, has finalized a deal to buy 1291 00:59:41,773 --> 00:59:47,013 Speaker 14: another dairy company, Marka, an Australian company, used workers' laptops 1292 00:59:47,053 --> 00:59:49,933 Speaker 14: to record audio of them working from home. Could it 1293 00:59:50,013 --> 00:59:52,533 Speaker 14: happen here? Find out more at Enzi Herald Premium. 1294 00:59:52,933 --> 00:59:56,173 Speaker 4: Now back to Mattz and Tyler. Thank you very much, Susi. 1295 00:59:56,493 --> 00:59:59,053 Speaker 4: Just before we get the self driving cars just announces. 1296 00:59:59,133 --> 01:00:01,893 Speaker 4: Susie mentioned in the headlines there that the government is 1297 01:00:01,973 --> 01:00:04,453 Speaker 4: loosening the foreign buyer band. We've been waiting for this 1298 01:00:04,613 --> 01:00:07,573 Speaker 4: for some time. So the Prime Minister said today that 1299 01:00:07,693 --> 01:00:10,373 Speaker 4: foreign buying with a golden visa would soon be able 1300 01:00:10,413 --> 01:00:13,013 Speaker 4: to buy homes with five million dollars or more without 1301 01:00:13,053 --> 01:00:14,893 Speaker 4: approval from the Overseas Investment Office. 1302 01:00:15,293 --> 01:00:18,453 Speaker 3: That's really high five million dollars or more. 1303 01:00:18,533 --> 01:00:22,253 Speaker 2: How many homes there like that? I mean surely the 1304 01:00:22,333 --> 01:00:26,213 Speaker 2: two and a half million, three million, I mean that's 1305 01:00:26,253 --> 01:00:28,693 Speaker 2: not affecting first home buyers, is it, Which is really 1306 01:00:28,733 --> 01:00:30,333 Speaker 2: what we worry about. If people want to fight out 1307 01:00:30,373 --> 01:00:33,333 Speaker 2: around over three million dollars then then go through it. 1308 01:00:33,853 --> 01:00:34,893 Speaker 3: That seems crazy. 1309 01:00:34,973 --> 01:00:37,133 Speaker 2: It's a high three shold And maybe in Auckland that 1310 01:00:37,293 --> 01:00:41,293 Speaker 2: makes sense, or maybe in Queenstown. But don't we want 1311 01:00:41,333 --> 01:00:44,373 Speaker 2: people to move to Dunedin and the cargol don't want 1312 01:00:44,373 --> 01:00:47,733 Speaker 2: people to be buying houses in places. Shouldn't that be? 1313 01:00:48,213 --> 01:00:51,013 Speaker 2: Is it just a blanket five million nationwide? Because look 1314 01:00:51,093 --> 01:00:53,573 Speaker 2: I'm from Dunedin. Five million dollars get your a lot 1315 01:00:53,573 --> 01:00:54,893 Speaker 2: of house in duned and will get you down to 1316 01:00:54,933 --> 01:00:58,333 Speaker 2: Abby to get your stables, horses, will get your full 1317 01:00:58,853 --> 01:01:01,333 Speaker 2: You'll be able to get full service. 1318 01:01:01,333 --> 01:01:02,133 Speaker 3: You're able to get full. 1319 01:01:02,013 --> 01:01:03,093 Speaker 4: Made a suburb. 1320 01:01:03,253 --> 01:01:05,013 Speaker 2: You'd be able to run a full down to Abby 1321 01:01:05,053 --> 01:01:06,453 Speaker 2: for five million dollars exactly. 1322 01:01:06,573 --> 01:01:08,733 Speaker 4: Well, one roof is actually running numbers on how many 1323 01:01:08,773 --> 01:01:10,893 Speaker 4: properties are worth over five million dollars in some of 1324 01:01:10,933 --> 01:01:14,013 Speaker 4: the regions, as you can imagine Auckland a fear whack 1325 01:01:14,053 --> 01:01:16,973 Speaker 4: three hundred three thousand, three hundred and twenty in Auckland City. 1326 01:01:17,133 --> 01:01:19,253 Speaker 4: But then I go down the list Canterbury christ Judge 1327 01:01:19,253 --> 01:01:21,333 Speaker 4: one hundred and fifty three, Welling hundred and fifty three 1328 01:01:21,373 --> 01:01:25,013 Speaker 4: in christ Church. Yeah, so okay, come on right where 1329 01:01:25,093 --> 01:01:28,053 Speaker 4: use that's a lifestyle block? There wasn't a Wellington. How 1330 01:01:28,093 --> 01:01:30,933 Speaker 4: many homes and Wellington, Wellington's a big place. How many 1331 01:01:31,013 --> 01:01:34,133 Speaker 4: drecon over the five million mark five hundred na way 1332 01:01:34,213 --> 01:01:37,973 Speaker 4: less way less? Okay one a little bit more than that, 1333 01:01:38,213 --> 01:01:41,893 Speaker 4: thirty nine, just thirty nine and Wellington according to one roof. 1334 01:01:42,093 --> 01:01:45,253 Speaker 3: So we don't want these people buying homes in our capital. 1335 01:01:46,013 --> 01:01:49,053 Speaker 4: There's only one, yeah, exactly, there's only thirty nine of 1336 01:01:49,133 --> 01:01:51,733 Speaker 4: them in the whole of them thirty nine yeah, yeah, yeah. 1337 01:01:51,893 --> 01:01:53,453 Speaker 3: I went for my stupid guests one. 1338 01:01:54,133 --> 01:01:56,573 Speaker 4: And I was quickly trying to find Dunedin and I 1339 01:01:56,693 --> 01:01:59,253 Speaker 4: can't actually find a need, and so does Deneeda. They 1340 01:01:59,253 --> 01:02:02,013 Speaker 4: have a five million dollar property, Plust have have one. 1341 01:02:02,813 --> 01:02:04,773 Speaker 2: That just seems like you're trying to do something, but 1342 01:02:04,893 --> 01:02:07,613 Speaker 2: you've just gone half ass. If you decided to do it, 1343 01:02:08,013 --> 01:02:11,813 Speaker 2: go on, I think two and a half million. You know, 1344 01:02:12,493 --> 01:02:16,253 Speaker 2: that seems like you're not shutting people out of the market. Yeah, 1345 01:02:16,853 --> 01:02:19,013 Speaker 2: but if you want people to come in and you 1346 01:02:19,053 --> 01:02:21,613 Speaker 2: want them to put head offices here and start things, 1347 01:02:21,933 --> 01:02:24,613 Speaker 2: you know, and have branches here and stuff, then don't 1348 01:02:24,613 --> 01:02:25,133 Speaker 2: you want them. 1349 01:02:25,093 --> 01:02:26,173 Speaker 3: To be able to buy a house? 1350 01:02:26,293 --> 01:02:28,333 Speaker 2: Not just the CEO, not just the richest person in 1351 01:02:28,373 --> 01:02:29,893 Speaker 2: the company, but a few of the executives on the 1352 01:02:29,933 --> 01:02:30,213 Speaker 2: way down. 1353 01:02:30,253 --> 01:02:32,013 Speaker 4: One hundred percent. If you're coming here to work and 1354 01:02:32,053 --> 01:02:34,533 Speaker 4: you can't buy a house, that's a massive incentive, but 1355 01:02:34,613 --> 01:02:36,013 Speaker 4: there will be plenty more to come on that. 1356 01:02:38,413 --> 01:02:40,093 Speaker 3: This This man I live in Deneedi and they can 1357 01:02:40,133 --> 01:02:42,253 Speaker 3: buy my house for five million. Yeah, I mean, is 1358 01:02:42,293 --> 01:02:43,693 Speaker 3: it going to be a rising tide of people that 1359 01:02:43,813 --> 01:02:46,173 Speaker 3: just put their house that's worth five hundred and fifty 1360 01:02:46,213 --> 01:02:48,173 Speaker 3: thousand on the market for five millions so someone can 1361 01:02:48,213 --> 01:02:48,453 Speaker 3: buy it. 1362 01:02:48,613 --> 01:02:48,773 Speaker 1: Yeah. 1363 01:02:48,933 --> 01:02:51,413 Speaker 4: Hey, if someone takes the baits good on you would win. 1364 01:02:52,533 --> 01:02:55,093 Speaker 4: But yes, there'll be plenty more on that. Discussion with 1365 01:02:55,213 --> 01:02:58,133 Speaker 4: Heather at four o'clock as well. But let's get back 1366 01:02:58,213 --> 01:03:01,293 Speaker 4: into self driving cars and there's been so many ticks 1367 01:03:01,293 --> 01:03:04,253 Speaker 4: about this. So Tesla has indicated New Zealand is in 1368 01:03:04,373 --> 01:03:07,693 Speaker 4: line for the flagship tear of it's semi autonomous driving software. 1369 01:03:07,733 --> 01:03:09,973 Speaker 4: That is software that's been in use in the US 1370 01:03:10,053 --> 01:03:12,613 Speaker 4: for about five years now. So while the company hasn't 1371 01:03:12,653 --> 01:03:16,333 Speaker 4: confirmed an exact date, they said it is coming very 1372 01:03:16,453 --> 01:03:18,493 Speaker 4: soon and New Zealand will be one of the first 1373 01:03:18,533 --> 01:03:21,173 Speaker 4: markets in the world to receive the right hand drive version. 1374 01:03:21,693 --> 01:03:23,253 Speaker 4: Very exciting for a lot of people out there. 1375 01:03:23,853 --> 01:03:25,333 Speaker 3: Yeah, I mean, are you excited about this? 1376 01:03:25,893 --> 01:03:26,253 Speaker 13: I am? 1377 01:03:26,413 --> 01:03:28,133 Speaker 3: Yeah? Would you run that? Would you would you come 1378 01:03:28,173 --> 01:03:30,853 Speaker 3: to work with your hands off the wheel? 1379 01:03:30,853 --> 01:03:33,933 Speaker 4: One hundred percent absolutely take advantage of it. Yeah, I 1380 01:03:34,053 --> 01:03:37,413 Speaker 4: mean that would kind of be once it starts to 1381 01:03:37,413 --> 01:03:39,573 Speaker 4: get rolled out. Why would you bother with public transport? 1382 01:03:39,653 --> 01:03:41,853 Speaker 4: You know that if you've got these self driving cars 1383 01:03:41,933 --> 01:03:44,373 Speaker 4: where and at this stage, the software means that you've 1384 01:03:44,413 --> 01:03:45,893 Speaker 4: got to be in the front seats. You don't have 1385 01:03:45,933 --> 01:03:48,093 Speaker 4: to have your hands on the wheel, but it's semi 1386 01:03:48,293 --> 01:03:51,413 Speaker 4: autonomous that the human has to be somewhat in control. 1387 01:03:51,813 --> 01:03:55,293 Speaker 4: But honesty call, if you had this technology, I'd jump 1388 01:03:55,333 --> 01:03:56,693 Speaker 4: in the vaccinat Yeah. 1389 01:03:56,933 --> 01:03:59,053 Speaker 2: And so if that that that technology is coming to 1390 01:03:59,093 --> 01:04:01,093 Speaker 2: New Zealand, there's there have to be some law changes 1391 01:04:01,453 --> 01:04:04,893 Speaker 2: before we could get the robotaxis and the and the 1392 01:04:04,973 --> 01:04:07,933 Speaker 2: weimoa and stuff. But they've had them in Arizona since 1393 01:04:07,933 --> 01:04:10,693 Speaker 2: twenty two. Yeah, got them in California, They've got them 1394 01:04:10,693 --> 01:04:17,653 Speaker 2: in Georgia, Florida, Texas, Washington's coming up soon. New York City, Dallas, Miami, Philadelphia, Boston, Nashville, 1395 01:04:17,813 --> 01:04:21,133 Speaker 2: New Orleans, Las Vegas, Orlando, Houston, and San Antonio are 1396 01:04:21,173 --> 01:04:25,453 Speaker 2: all on track to have self driving taxis very soon. Yeah, 1397 01:04:25,893 --> 01:04:28,253 Speaker 2: so this is the first step. So that is coming 1398 01:04:28,293 --> 01:04:29,813 Speaker 2: to New Zealand. I don't know what the time frame 1399 01:04:29,973 --> 01:04:31,413 Speaker 2: is five years potentially. 1400 01:04:31,573 --> 01:04:32,733 Speaker 4: Yep, it's on its way. 1401 01:04:32,893 --> 01:04:35,013 Speaker 2: But I mean, can't you see a world where you're 1402 01:04:35,133 --> 01:04:38,093 Speaker 2: driving into work, Tyler's sitting in the back seat doing 1403 01:04:38,213 --> 01:04:41,493 Speaker 2: some work on your laptop. The whole car change is 1404 01:04:41,573 --> 01:04:44,413 Speaker 2: design of the car changes. So you're being chauffeured in 1405 01:04:45,093 --> 01:04:46,733 Speaker 2: by a self driving car. There's no one on the 1406 01:04:46,773 --> 01:04:48,853 Speaker 2: front seat. You know, you might want to put a 1407 01:04:48,933 --> 01:04:50,893 Speaker 2: blow up doll in there, like the auto pilot in 1408 01:04:50,933 --> 01:04:53,253 Speaker 2: the movie Airplane or something just to make you feel comfortable. 1409 01:04:53,613 --> 01:04:55,133 Speaker 2: But there's something in that that would mean that you 1410 01:04:55,173 --> 01:04:58,653 Speaker 2: could work a lot. You know, where your house was 1411 01:04:58,693 --> 01:05:00,333 Speaker 2: could be a lot further out because you could do 1412 01:05:00,373 --> 01:05:02,173 Speaker 2: your first half hour work on the way to work, 1413 01:05:02,213 --> 01:05:03,413 Speaker 2: just sitting in the back seat on a laptop. 1414 01:05:03,493 --> 01:05:03,613 Speaker 11: Right. 1415 01:05:03,693 --> 01:05:06,293 Speaker 4: Great for productivity, absolutely, But what do you say, Oh, eight, 1416 01:05:06,293 --> 01:05:08,293 Speaker 4: one hundred and eighty ten eighty is a number to call? 1417 01:05:08,693 --> 01:05:11,253 Speaker 4: Are you fizzing on the idea of self driving cars 1418 01:05:11,333 --> 01:05:13,973 Speaker 4: coming to the New Zealand market or does it terrify you? 1419 01:05:14,293 --> 01:05:15,853 Speaker 4: Oh what one hundred and eighty ten eighty is number 1420 01:05:15,893 --> 01:05:17,893 Speaker 4: to call? It is twenty to three. 1421 01:05:19,293 --> 01:05:21,893 Speaker 1: Have a chat with the lads on eight hundred eighty 1422 01:05:21,973 --> 01:05:26,053 Speaker 1: ten eighty Matt Heath and Tyler Adams afternoons news Talk sa'd. 1423 01:05:25,893 --> 01:05:29,453 Speaker 4: Be seventeen to three. So Tesla has announced that semi 1424 01:05:29,573 --> 01:05:32,613 Speaker 4: autonomous driving software will come into the New Zealand market 1425 01:05:32,853 --> 01:05:35,053 Speaker 4: very very soon. How do you feel about that? He 1426 01:05:35,133 --> 01:05:37,053 Speaker 4: fizzed up about that. If you're a Tesla owner, will 1427 01:05:37,093 --> 01:05:39,053 Speaker 4: you buy the software upgrade? I wait, one hundred eighty 1428 01:05:39,093 --> 01:05:40,053 Speaker 4: ten eighty is number. 1429 01:05:39,813 --> 01:05:42,093 Speaker 2: To call, Jamie. You've been in one of these way 1430 01:05:42,173 --> 01:05:44,933 Speaker 2: Mo cabs in San Francisco? 1431 01:05:46,333 --> 01:05:46,533 Speaker 7: Yeah? 1432 01:05:47,093 --> 01:05:49,773 Speaker 17: I have. We were in San Francisco and. 1433 01:05:51,373 --> 01:05:52,333 Speaker 8: In June. 1434 01:05:53,773 --> 01:05:56,053 Speaker 3: Yes, right? And how did you go about ordering it? 1435 01:05:56,973 --> 01:06:00,453 Speaker 17: Jamie basically downloaded the apps We wanted to use it 1436 01:06:00,493 --> 01:06:02,733 Speaker 17: because we saw them around town. It was really simple. 1437 01:06:03,133 --> 01:06:05,413 Speaker 17: Similar I'd say to an uber, you know, just to 1438 01:06:05,573 --> 01:06:07,253 Speaker 17: order one and it gives you an estimate of the 1439 01:06:07,333 --> 01:06:10,373 Speaker 17: time and the price in the app. 1440 01:06:11,133 --> 01:06:13,453 Speaker 8: So they just arrive and it's this kind. 1441 01:06:13,333 --> 01:06:16,653 Speaker 17: Of black thing with these senses on the top and 1442 01:06:16,773 --> 01:06:18,933 Speaker 17: senses on the side, and the door just opens and 1443 01:06:18,973 --> 01:06:21,013 Speaker 17: you get in and you connect to it with your app, 1444 01:06:21,093 --> 01:06:21,933 Speaker 17: and off it goes. 1445 01:06:22,373 --> 01:06:24,053 Speaker 2: How did it feel to see a car pull up 1446 01:06:24,093 --> 01:06:25,813 Speaker 2: without a driver and then to climb into it and 1447 01:06:25,973 --> 01:06:26,733 Speaker 2: put your trust in it. 1448 01:06:27,813 --> 01:06:29,133 Speaker 5: Yeah, very very weird. 1449 01:06:29,213 --> 01:06:31,013 Speaker 17: It was more like we did it for fun because 1450 01:06:31,013 --> 01:06:34,613 Speaker 17: we saw them driving around town. I would say the 1451 01:06:34,733 --> 01:06:37,693 Speaker 17: only thing that was really bothersome about it was we 1452 01:06:37,813 --> 01:06:39,933 Speaker 17: were going down to Fisherman's Wharf, which is, you know, 1453 01:06:39,933 --> 01:06:43,773 Speaker 17: a high tourist area, and it couldn't find a safe 1454 01:06:43,813 --> 01:06:46,373 Speaker 17: place to drop us off, so it kept driving around, 1455 01:06:46,573 --> 01:06:49,173 Speaker 17: costing us more money. You know, if it was a person, 1456 01:06:49,293 --> 01:06:51,053 Speaker 17: we'd say, I would just pull over here, right, I 1457 01:06:51,173 --> 01:06:53,493 Speaker 17: see you just pull over here and let us out. 1458 01:06:54,093 --> 01:06:54,493 Speaker 7: We walk. 1459 01:06:54,693 --> 01:06:57,653 Speaker 2: There's no gray area with the rules. Apart from that, though, 1460 01:06:57,733 --> 01:06:59,813 Speaker 2: how did it drive? Did you feel safe? 1461 01:06:59,893 --> 01:07:00,093 Speaker 6: Did it? 1462 01:07:00,333 --> 01:07:01,573 Speaker 3: Did it do anything interesting? 1463 01:07:03,053 --> 01:07:08,533 Speaker 17: Nothing interesting? Safe, same speed you know in the hat, 1464 01:07:09,013 --> 01:07:09,973 Speaker 17: all the safe things. 1465 01:07:10,053 --> 01:07:11,013 Speaker 8: It was just fine. 1466 01:07:11,893 --> 01:07:13,413 Speaker 17: It was just that, you know, when it's not a 1467 01:07:13,493 --> 01:07:16,133 Speaker 17: person and then you can't kind of say, oh yeah, 1468 01:07:16,213 --> 01:07:18,373 Speaker 17: just drop us here, or actually can we stop and 1469 01:07:18,413 --> 01:07:20,293 Speaker 17: get something to eat there? It was you know, there's 1470 01:07:20,333 --> 01:07:24,373 Speaker 17: none of that kind of interpersonal changes. 1471 01:07:25,013 --> 01:07:27,333 Speaker 2: Yes, so if you you know, you said you kind 1472 01:07:27,333 --> 01:07:28,693 Speaker 2: of did it as a novelty because you saw them 1473 01:07:28,773 --> 01:07:31,253 Speaker 2: driving around. If they were to come to New Zealand, 1474 01:07:31,453 --> 01:07:33,693 Speaker 2: and it seems likely they're all down the track. Can 1475 01:07:33,733 --> 01:07:36,413 Speaker 2: you imagine a future where you would that be you 1476 01:07:36,573 --> 01:07:36,813 Speaker 2: go to. 1477 01:07:38,133 --> 01:07:41,453 Speaker 17: I'd prefer an uber, I'd prefer the personal charts, the 1478 01:07:41,533 --> 01:07:45,213 Speaker 17: communication there, you know, stop here, go there, or you know, 1479 01:07:45,373 --> 01:07:47,133 Speaker 17: just that little bit of change that you can have. 1480 01:07:47,733 --> 01:07:50,093 Speaker 17: It feels, you know, I wouldn't say I felt unsafe, 1481 01:07:50,133 --> 01:07:52,333 Speaker 17: but I didn't. I was thinking about, oh, you know, 1482 01:07:52,733 --> 01:07:56,933 Speaker 17: how would I get out if this malfunctioned? Or you know, 1483 01:07:57,093 --> 01:07:59,053 Speaker 17: just those kind of things that were I was thinking 1484 01:07:59,093 --> 01:08:00,173 Speaker 17: about while I was in the car. 1485 01:08:00,813 --> 01:08:03,933 Speaker 2: So with the driver's seat, there's there's a there's a 1486 01:08:03,973 --> 01:08:05,933 Speaker 2: natural seat there, so if you wanted to, you could 1487 01:08:06,253 --> 01:08:09,213 Speaker 2: sit in that seat, but will allow you to sit 1488 01:08:09,293 --> 01:08:10,573 Speaker 2: in that seat? Or you've got to sit in the 1489 01:08:10,653 --> 01:08:12,173 Speaker 2: back or where are you allowed to sit? 1490 01:08:13,133 --> 01:08:15,013 Speaker 17: We just we just went straight into the back. But 1491 01:08:15,133 --> 01:08:17,612 Speaker 17: they do have a driver's seat because sometimes they have 1492 01:08:17,733 --> 01:08:21,173 Speaker 17: people in there doing like audits, right, you know that 1493 01:08:21,653 --> 01:08:24,293 Speaker 17: making sure it's going okay or checking on with the people. 1494 01:08:24,492 --> 01:08:26,093 Speaker 3: So we just does it does it. 1495 01:08:26,173 --> 01:08:28,412 Speaker 2: Does have all the pedals and all the normal stuff 1496 01:08:28,412 --> 01:08:31,052 Speaker 2: that a car would would have in that driver's situation. 1497 01:08:31,492 --> 01:08:33,972 Speaker 3: Well interesting, how cool? 1498 01:08:34,093 --> 01:08:36,452 Speaker 8: And see also go ahead. 1499 01:08:36,732 --> 01:08:38,213 Speaker 4: I was just going to say so at no point 1500 01:08:38,333 --> 01:08:41,052 Speaker 4: can you speak to the car itself with the AI 1501 01:08:41,213 --> 01:08:43,213 Speaker 4: and say, hey, do you just mind if we change 1502 01:08:43,253 --> 01:08:44,892 Speaker 4: the route because I've got to pick up a pack 1503 01:08:44,933 --> 01:08:46,293 Speaker 4: of SIGs or a bottle of wine or something. 1504 01:08:47,612 --> 01:08:48,492 Speaker 17: No, you can't do that. 1505 01:08:49,772 --> 01:08:52,612 Speaker 2: Yes, If anything, that your slight complaint with it, Jamie, 1506 01:08:52,732 --> 01:08:54,893 Speaker 2: is that it was too safe. It was like, this 1507 01:08:55,053 --> 01:08:56,973 Speaker 2: isn't I can't really legally stop here, so I have 1508 01:08:57,013 --> 01:08:57,692 Speaker 2: to find a place. 1509 01:08:58,692 --> 01:09:01,812 Speaker 17: Yes, basically it wasn't. It wasn't able to just let 1510 01:09:01,933 --> 01:09:04,293 Speaker 17: us off there, So it just went around and around 1511 01:09:04,452 --> 01:09:07,372 Speaker 17: looking for a safe place to kind of let us out. 1512 01:09:08,333 --> 01:09:08,812 Speaker 3: It's interesting. 1513 01:09:10,452 --> 01:09:14,732 Speaker 17: We did hire a vehicle that, actually we didn't realize 1514 01:09:14,772 --> 01:09:18,093 Speaker 17: it was also self driving, and that happens as well 1515 01:09:18,173 --> 01:09:20,572 Speaker 17: while we were in San Francisco, kind of like what 1516 01:09:20,652 --> 01:09:24,333 Speaker 17: you're talking about with the Teslas. And that was another 1517 01:09:24,452 --> 01:09:28,372 Speaker 17: interesting experience. I'm driving a vehicle that can go into 1518 01:09:28,452 --> 01:09:29,293 Speaker 17: self drive mode. 1519 01:09:29,572 --> 01:09:31,452 Speaker 3: Did you put it into South mode? Did you put 1520 01:09:31,492 --> 01:09:32,052 Speaker 3: it in that mode? 1521 01:09:32,893 --> 01:09:36,772 Speaker 17: It puts itself in. Actually, so we were driving on 1522 01:09:36,853 --> 01:09:39,892 Speaker 17: the highway and my husband was driving, and the steering 1523 01:09:39,893 --> 01:09:44,172 Speaker 17: wheel kind of vibrated and it said automatic driver enabled. 1524 01:09:45,133 --> 01:09:48,012 Speaker 17: You know, you may remove your hands from the steering 1525 01:09:48,053 --> 01:09:50,333 Speaker 17: wheel and he was like, what the hell, and so 1526 01:09:50,612 --> 01:09:53,852 Speaker 17: you know, he let go, and you know, we just 1527 01:09:54,013 --> 01:09:56,173 Speaker 17: kind of keeped our hands hovering around there and it 1528 01:09:56,333 --> 01:09:57,092 Speaker 17: just droves. 1529 01:09:57,333 --> 01:09:59,973 Speaker 3: And that was really had you put in a destination 1530 01:10:00,133 --> 01:10:02,812 Speaker 3: at that point? Or is it just yeah? Right, okay? 1531 01:10:02,893 --> 01:10:05,093 Speaker 3: So it guys, we've got a destination. I can take 1532 01:10:05,133 --> 01:10:09,253 Speaker 3: you there, right, yeah, you go. 1533 01:10:11,333 --> 01:10:13,932 Speaker 17: The the thing about that is is that it drives 1534 01:10:14,053 --> 01:10:16,772 Speaker 17: completely to the rules, and it leaves too much space 1535 01:10:16,853 --> 01:10:19,173 Speaker 17: on the highway in between you and the current front 1536 01:10:19,532 --> 01:10:21,933 Speaker 17: and other vehicles keep pulling into that space and then 1537 01:10:22,013 --> 01:10:26,532 Speaker 17: it blast and you're like, oh mate, no you. 1538 01:10:26,572 --> 01:10:29,452 Speaker 3: Know, but it was fine, yeah, cool, thank you for 1539 01:10:29,532 --> 01:10:33,452 Speaker 3: your call. Now, so it's just too nerdy, Yeah, it's 1540 01:10:33,492 --> 01:10:36,692 Speaker 3: too rules. There's no gray area break the rules. 1541 01:10:37,612 --> 01:10:40,013 Speaker 2: If your self driving car kills someone, would you get 1542 01:10:40,093 --> 01:10:42,532 Speaker 2: done for manslaughter or the company that made the car? 1543 01:10:42,933 --> 01:10:45,692 Speaker 2: Or would you need more insurance? Or conversations here? Because 1544 01:10:45,732 --> 01:10:48,732 Speaker 2: this tesla's recently been in court over this, haven't they. Yeah, 1545 01:10:49,093 --> 01:10:51,572 Speaker 2: so I'll give you the details of that coming up. 1546 01:10:51,732 --> 01:10:53,612 Speaker 4: Great quiessh to know, but keen to hear from you. Oh, 1547 01:10:53,652 --> 01:10:56,173 Speaker 4: eight hundred and eighty ten eighty Tesler has an ounce 1548 01:10:56,213 --> 01:10:58,972 Speaker 4: self driving cars. Semi self driving cars are coming our way. 1549 01:10:59,293 --> 01:11:00,932 Speaker 4: Are you fizzed up or are you terrified? 1550 01:11:01,093 --> 01:11:03,173 Speaker 3: Will you be allowed to sit your driver's tests in 1551 01:11:03,213 --> 01:11:07,092 Speaker 3: a self driving car? Says this text home. I'm already 1552 01:11:07,213 --> 01:11:09,293 Speaker 3: thinking my kids are soft because where my son sat 1553 01:11:09,372 --> 01:11:10,732 Speaker 3: his in my car with you know. 1554 01:11:11,333 --> 01:11:13,333 Speaker 4: Automatic handbrake, automatic parking. 1555 01:11:13,532 --> 01:11:18,973 Speaker 3: Yeah, yeah, exactly the issues that affect you. 1556 01:11:19,293 --> 01:11:21,492 Speaker 1: And a bit of fun along the way. Matt Heath 1557 01:11:21,572 --> 01:11:24,532 Speaker 1: and Tyler Adams Afternoons News Talk, z'd. 1558 01:11:24,333 --> 01:11:28,612 Speaker 4: Be very good. Afternoons you said, Tesla is bringing almost 1559 01:11:28,893 --> 01:11:33,772 Speaker 4: self driving cars to New Zealand. It's a system called FSDs, 1560 01:11:33,933 --> 01:11:38,173 Speaker 4: So essentially it's not fully automative. It is that you 1561 01:11:38,253 --> 01:11:40,932 Speaker 4: still need a human and somewhat control of that vehicle. 1562 01:11:41,013 --> 01:11:42,692 Speaker 4: You can have your hands off the wheel, but you 1563 01:11:42,933 --> 01:11:45,852 Speaker 4: have to be responsible for the actions of that vehicle. 1564 01:11:45,933 --> 01:11:47,892 Speaker 2: It's interesting because my car, when I take my hands 1565 01:11:47,893 --> 01:11:51,213 Speaker 2: off the wheel, it's got you know, active lane following 1566 01:11:51,372 --> 01:11:54,173 Speaker 2: and distance and all that kind of stuff, and you know, 1567 01:11:54,933 --> 01:11:57,412 Speaker 2: it gives me very little time before it starts threatening me. 1568 01:11:57,732 --> 01:12:00,253 Speaker 2: He starts turning my stereo down, putting hands on the wheel. 1569 01:12:00,253 --> 01:12:02,253 Speaker 2: If I'm not ten and two and holding it, and 1570 01:12:02,333 --> 01:12:04,253 Speaker 2: all that's doing is just keeping it in the lane. 1571 01:12:04,893 --> 01:12:06,732 Speaker 2: So if I'm trying to, you know, steer with my 1572 01:12:06,812 --> 01:12:08,612 Speaker 2: hand at the bottom, it won't let me. So we're 1573 01:12:08,652 --> 01:12:12,372 Speaker 2: talking before about the liability of you know, if someone 1574 01:12:12,452 --> 01:12:15,493 Speaker 2: driving car killed someone, would you get done for manslaughter 1575 01:12:16,173 --> 01:12:17,452 Speaker 2: or the company that made it. 1576 01:12:18,093 --> 01:12:21,372 Speaker 3: This is just a case that's happening right at the moment. 1577 01:12:21,532 --> 01:12:23,692 Speaker 2: In the States, a Miami jury awarded two hundred and 1578 01:12:23,692 --> 01:12:27,692 Speaker 2: forty three million against Tesla for an accident in twenty nineteen. 1579 01:12:27,772 --> 01:12:31,132 Speaker 2: A Tesla on autopilot struck a couple in Key Largo, Florida, 1580 01:12:31,213 --> 01:12:35,772 Speaker 2: killing a twenty two year old, and the initially Tesla 1581 01:12:35,853 --> 01:12:38,133 Speaker 2: said that they couldn't find the information on it, the 1582 01:12:38,213 --> 01:12:40,772 Speaker 2: data on it, but a hacker got in and found 1583 01:12:40,812 --> 01:12:44,093 Speaker 2: the data. So you know, the jurors found Tesla thirty 1584 01:12:44,133 --> 01:12:46,812 Speaker 2: three percent liabel for the crash. Whereas Tesla said, in 1585 01:12:46,933 --> 01:12:51,172 Speaker 2: that particular autopilot mode, you were supposed to be watching 1586 01:12:51,253 --> 01:12:52,652 Speaker 2: and behind the wheel, that was sort of a more 1587 01:12:52,732 --> 01:12:55,692 Speaker 2: supportive thing. Yeah, but I mean that's technology twenty nineteen. 1588 01:12:55,732 --> 01:12:59,772 Speaker 2: That's now six year old technology, which is it's gone 1589 01:12:59,812 --> 01:13:01,932 Speaker 2: through the roof there. You know, you think about six 1590 01:13:02,093 --> 01:13:04,333 Speaker 2: years of advancements in this kind of technology. 1591 01:13:04,492 --> 01:13:06,892 Speaker 4: But I think that's how they're getting around the legislation 1592 01:13:06,973 --> 01:13:09,372 Speaker 4: we've got here in New Zealand that full self driving 1593 01:13:09,652 --> 01:13:11,973 Speaker 4: supervised is the key element there when it comes to 1594 01:13:12,013 --> 01:13:14,213 Speaker 4: New Zealand very soon. But can you hear your views, 1595 01:13:14,213 --> 01:13:16,412 Speaker 4: oh one hundred and eighteen eighty eleanor you've. 1596 01:13:16,293 --> 01:13:19,213 Speaker 2: Been all over San Francisco in one of these self 1597 01:13:19,293 --> 01:13:21,412 Speaker 2: driving taxis no one in there at all? 1598 01:13:22,253 --> 01:13:26,053 Speaker 18: Yes, we've done. We have a family who live up there, 1599 01:13:26,372 --> 01:13:29,133 Speaker 18: Our daughter and her family live there, so we've seen 1600 01:13:29,173 --> 01:13:31,932 Speaker 18: them from when they were tracking the roads first of all, 1601 01:13:32,572 --> 01:13:36,133 Speaker 18: to driving in them many of many times. In fact, 1602 01:13:36,173 --> 01:13:39,053 Speaker 18: we've been up there three times this year so and 1603 01:13:39,173 --> 01:13:44,173 Speaker 18: we always use way though because the traffic is absolutely appalling. 1604 01:13:45,452 --> 01:13:49,652 Speaker 18: They drive like crazies there, especially on the way to 1605 01:13:49,692 --> 01:13:53,013 Speaker 18: the airport and bank. And you are far safer in 1606 01:13:53,093 --> 01:13:54,492 Speaker 18: a way more than anything else. 1607 01:13:55,412 --> 01:13:57,133 Speaker 2: Right, So you would have seen it in a number 1608 01:13:57,133 --> 01:14:01,692 Speaker 2: of circumstances dealing with complicated things like cyclists and you know, 1609 01:14:02,093 --> 01:14:03,092 Speaker 2: all manner of things. 1610 01:14:03,253 --> 01:14:05,053 Speaker 3: And has it impressed you with how it's dealt with 1611 01:14:05,133 --> 01:14:05,532 Speaker 3: that kind. 1612 01:14:05,412 --> 01:14:08,933 Speaker 18: Of stuff, Well, yes, it's certainly safe to be in 1613 01:14:09,013 --> 01:14:10,133 Speaker 18: a weymo than it is to. 1614 01:14:10,213 --> 01:14:13,692 Speaker 1: Be on the road to New Zealand, right, okay, and 1615 01:14:13,812 --> 01:14:13,973 Speaker 1: have you. 1616 01:14:15,732 --> 01:14:18,293 Speaker 18: They shallnot break the law over the way. They had 1617 01:14:18,372 --> 01:14:23,692 Speaker 18: to drive to the speed limit. And the roads are 1618 01:14:23,732 --> 01:14:28,772 Speaker 18: particularly dangerous there because so many of the adjunctions actually 1619 01:14:28,853 --> 01:14:32,572 Speaker 18: in the city are on such a hill that their 1620 01:14:32,732 --> 01:14:36,812 Speaker 18: level where the grid roads are crossing over that when 1621 01:14:36,893 --> 01:14:40,452 Speaker 18: you are actually vouncing into their junction, you cannot see 1622 01:14:40,893 --> 01:14:43,973 Speaker 18: over because it's so below on it. You're going to 1623 01:14:44,053 --> 01:14:46,412 Speaker 18: go down the street hill. Now Weemo can see those 1624 01:14:46,492 --> 01:14:50,532 Speaker 18: because they've got their scanners on the roof, and so 1625 01:14:50,612 --> 01:14:53,852 Speaker 18: they've got the advantage of this three sixty degree And 1626 01:14:54,013 --> 01:14:59,932 Speaker 18: remember that pedestrians in San Francisco take precedence over calf 1627 01:15:00,013 --> 01:15:01,572 Speaker 18: on the road. You have to give way to a 1628 01:15:01,612 --> 01:15:04,093 Speaker 18: pedestrian trying to cross, as it should be. 1629 01:15:04,253 --> 01:15:06,173 Speaker 4: So what do you see, Eleanor when you're on the 1630 01:15:06,213 --> 01:15:09,692 Speaker 4: back of this waimo, is there a big map system 1631 01:15:09,893 --> 01:15:12,133 Speaker 4: like a tesla that you're looking at so you can 1632 01:15:12,213 --> 01:15:14,572 Speaker 4: see where you're going or does it say anything to 1633 01:15:14,652 --> 01:15:16,412 Speaker 4: you about what's coming up or anything like that. 1634 01:15:16,772 --> 01:15:19,093 Speaker 18: Yeah, it's just got the screen on the same as 1635 01:15:19,213 --> 01:15:23,452 Speaker 18: you would see. I don't usually go in a tesla myself. 1636 01:15:25,253 --> 01:15:27,772 Speaker 18: Just like an Apple car play or whatever. You can 1637 01:15:27,853 --> 01:15:33,692 Speaker 18: see where you're going, but you're aware that it's sort 1638 01:15:33,732 --> 01:15:41,093 Speaker 18: of quite careful and they see everything. If you were 1639 01:15:41,732 --> 01:15:45,253 Speaker 18: in a left or an uber, you would be they 1640 01:15:45,333 --> 01:15:47,812 Speaker 18: would be looking around and looking in their mirrors, but 1641 01:15:47,933 --> 01:15:50,133 Speaker 18: they might not see a bicycle, they might not see 1642 01:15:50,412 --> 01:15:51,372 Speaker 18: a person in a car. 1643 01:15:52,173 --> 01:15:55,213 Speaker 4: How exciting, I mean, massive over in San Francisco. 1644 01:15:55,452 --> 01:15:58,253 Speaker 2: Interesting that she drives them, not scared to drive them, 1645 01:15:58,293 --> 01:16:01,253 Speaker 2: but drives in them because she thinks they're safer. So 1646 01:16:01,372 --> 01:16:03,212 Speaker 2: that's a huge, huge endorsement. 1647 01:16:03,293 --> 01:16:05,293 Speaker 4: We're going to carry this on after three o'clock. Love 1648 01:16:05,333 --> 01:16:08,053 Speaker 4: to hear your thoughts about self driving technology. It is 1649 01:16:08,333 --> 01:16:10,692 Speaker 4: I mean to New Zealand. Are you terrify or are 1650 01:16:10,772 --> 01:16:11,572 Speaker 4: you fizzed up by it? 1651 01:16:11,572 --> 01:16:11,692 Speaker 5: Oh? 1652 01:16:11,692 --> 01:16:13,092 Speaker 4: Eight hundred and eighty ten eighty. 1653 01:16:15,412 --> 01:16:19,732 Speaker 1: Your new homes are instateful and entertaining talk. It's Mattie 1654 01:16:19,973 --> 01:16:23,053 Speaker 1: and Taylor Adams afternoons on News Talk. 1655 01:16:23,173 --> 01:16:26,932 Speaker 4: Sebby, Welcome back into the program. It is seeven pass 1656 01:16:27,213 --> 01:16:29,812 Speaker 4: three and having a great discussion about self driving cars. 1657 01:16:29,973 --> 01:16:32,692 Speaker 2: So I've learned something today from earlier on I was 1658 01:16:32,692 --> 01:16:34,932 Speaker 2: talking about when I was pulled over by the police 1659 01:16:34,973 --> 01:16:38,372 Speaker 2: for going through an orange light. Yep, very pedantic, but 1660 01:16:38,772 --> 01:16:40,772 Speaker 2: you know, I'm a huge fan of New Zealand's finals, 1661 01:16:40,812 --> 01:16:43,572 Speaker 2: so I was happy to pull over. But I found 1662 01:16:43,612 --> 01:16:46,532 Speaker 2: out just by putting it out to the police office 1663 01:16:46,532 --> 01:16:47,612 Speaker 2: and stuff, that they prefer you. 1664 01:16:47,692 --> 01:16:48,293 Speaker 3: To stay in the car. 1665 01:16:48,412 --> 01:16:49,173 Speaker 4: Who what a thought. 1666 01:16:49,333 --> 01:16:51,053 Speaker 2: So my whole life, I've been getting out of the 1667 01:16:51,093 --> 01:16:52,852 Speaker 2: car that's what I was told to do, and standing 1668 01:16:52,893 --> 01:16:55,293 Speaker 2: by the car so they can see my hands and everything. 1669 01:16:55,333 --> 01:16:56,532 Speaker 2: And I just thought it was the polite thing to 1670 01:16:56,612 --> 01:16:58,612 Speaker 2: do that if the police officers stand up, I have 1671 01:16:58,652 --> 01:17:00,892 Speaker 2: to stand up, yeap. But no, when I got pulled over, 1672 01:17:00,933 --> 01:17:03,013 Speaker 2: the police officer, get back in your car. Police, and 1673 01:17:03,053 --> 01:17:04,812 Speaker 2: I was like, oh, okay, I was just doing this because, 1674 01:17:04,853 --> 01:17:06,692 Speaker 2: you know, out of respect. Yeah, but get back in 1675 01:17:06,732 --> 01:17:06,973 Speaker 2: your car. 1676 01:17:07,093 --> 01:17:08,652 Speaker 3: I mean, you've pulled me over, for god through an 1677 01:17:08,652 --> 01:17:10,133 Speaker 3: orange light, which was completely legit. 1678 01:17:10,253 --> 01:17:11,732 Speaker 2: But that's fine. I'm still going to you know, I 1679 01:17:11,853 --> 01:17:13,732 Speaker 2: understand you do a tough job. Yes you don't always 1680 01:17:13,732 --> 01:17:17,492 Speaker 2: get it right, yep, but no, so many police officers 1681 01:17:17,532 --> 01:17:19,333 Speaker 2: said we prefer you to stay in the car. In 1682 01:17:19,412 --> 01:17:21,732 Speaker 2: my mind as well, I don't think it's mandated. No, 1683 01:17:21,853 --> 01:17:24,652 Speaker 2: I don't think it's a law, but most police officers 1684 01:17:24,732 --> 01:17:27,452 Speaker 2: prefer that you stay in the car, so that's mine blown. 1685 01:17:28,013 --> 01:17:30,772 Speaker 2: But in the future, police officers will be pulling over 1686 01:17:30,853 --> 01:17:33,053 Speaker 2: cars with no one in them, so that makes it 1687 01:17:33,173 --> 01:17:33,532 Speaker 2: very easy. 1688 01:17:33,612 --> 01:17:35,173 Speaker 3: And that's the topic. There's no one to get out 1689 01:17:35,253 --> 01:17:35,892 Speaker 3: or stay in the car. 1690 01:17:36,093 --> 01:17:38,652 Speaker 4: Yeah, it's spot on. And the reason we're talking about 1691 01:17:38,692 --> 01:17:42,132 Speaker 4: this is because Tesla says that their new full self driving, 1692 01:17:42,333 --> 01:17:45,732 Speaker 4: supervised and braket software is coming to this market very 1693 01:17:45,853 --> 01:17:47,333 Speaker 4: very soon. It's going to be the first market in 1694 01:17:47,372 --> 01:17:49,933 Speaker 4: the world to receive the right hand drive version, so 1695 01:17:50,013 --> 01:17:52,932 Speaker 4: it is going to change very rapidly. Are you fizzed 1696 01:17:53,013 --> 01:17:54,892 Speaker 4: up about it or are you a little bit terrified? 1697 01:17:55,053 --> 01:17:55,253 Speaker 3: Yeah? 1698 01:17:55,253 --> 01:17:57,253 Speaker 2: Well, the next step of courses, this isn't part of 1699 01:17:57,333 --> 01:17:59,293 Speaker 2: what's happening in this round, but the next step of 1700 01:17:59,333 --> 01:18:03,133 Speaker 2: it is the completely self driving taxis that you have 1701 01:18:03,333 --> 01:18:07,812 Speaker 2: in places like San Francisco. Number of states in America, yes, 1702 01:18:08,452 --> 01:18:12,612 Speaker 2: at the moment, so in Arizona, California, Georgia, Florida, Texas, 1703 01:18:13,133 --> 01:18:16,092 Speaker 2: and Washington has got it coming up, New York, Dallas, Miami, 1704 01:18:16,213 --> 01:18:19,253 Speaker 2: so it's all over Philadelphia's all over there. And Brian, 1705 01:18:20,652 --> 01:18:23,852 Speaker 2: thank you. For sending in your video of driving around 1706 01:18:24,333 --> 01:18:27,973 Speaker 2: San Francisco. Jumped into a waymo. It's very interesting. So 1707 01:18:28,093 --> 01:18:30,812 Speaker 2: you just sort of get in the driver's not there. 1708 01:18:31,893 --> 01:18:34,093 Speaker 2: There's a little thing that says start the journey. You 1709 01:18:34,213 --> 01:18:36,812 Speaker 2: press start the Journey, and then you're away, far out, 1710 01:18:37,053 --> 01:18:38,652 Speaker 2: and it just looks so cool. 1711 01:18:38,732 --> 01:18:41,452 Speaker 3: And for people like me that grow up watching Night Rider, 1712 01:18:42,732 --> 01:18:44,213 Speaker 3: the future is here as far as I'm concerned. 1713 01:18:44,253 --> 01:18:45,173 Speaker 4: You got your very own kip. 1714 01:18:45,452 --> 01:18:48,093 Speaker 3: Yeah, your very own cap It's very cool. 1715 01:18:48,213 --> 01:18:48,372 Speaker 16: Yeah. 1716 01:18:48,452 --> 01:18:50,492 Speaker 4: Oh eight, one hundred eighty ten eighty is the number 1717 01:18:50,532 --> 01:18:52,772 Speaker 4: to call. There's a lot of people very excited on 1718 01:18:52,893 --> 01:18:53,652 Speaker 4: the text machine. 1719 01:18:53,692 --> 01:18:55,412 Speaker 3: No, Josh, I didn't get tasted by the cops. 1720 01:18:55,452 --> 01:18:57,253 Speaker 4: Not this time. Not this time is pretty close. Not 1721 01:18:57,333 --> 01:19:01,572 Speaker 4: this one pretty close. Jim, you are driving a Tesla 1722 01:19:01,612 --> 01:19:02,012 Speaker 4: at the moment. 1723 01:19:03,093 --> 01:19:05,412 Speaker 13: I am, indeed, Guys, I'm also an uber driver, So 1724 01:19:05,652 --> 01:19:11,012 Speaker 13: I got two points of view here. Firstly, the full 1725 01:19:11,452 --> 01:19:14,852 Speaker 13: self drive software has been available on New Zealand for 1726 01:19:15,053 --> 01:19:20,692 Speaker 13: many years, but it's not full self drive capable, so 1727 01:19:20,893 --> 01:19:23,932 Speaker 13: you can buy it as an option to your car. 1728 01:19:24,173 --> 01:19:28,372 Speaker 13: They have another level below that, which is called Enhanced Autopilot, 1729 01:19:29,093 --> 01:19:32,173 Speaker 13: which is basically the same as full self drive, but 1730 01:19:32,333 --> 01:19:39,213 Speaker 13: it only works on the motorways, right, Yeah, there's the 1731 01:19:39,293 --> 01:19:45,413 Speaker 13: capability of navigating to the off rent at your Citizy destination. 1732 01:19:45,893 --> 01:19:46,732 Speaker 3: Right because it's saying here. 1733 01:19:46,812 --> 01:19:50,173 Speaker 2: Because so this new upgrade or the one that's coming 1734 01:19:50,213 --> 01:19:52,412 Speaker 2: to Australia and New Zealand, it's an extra ten thousand dollars, 1735 01:19:52,412 --> 01:19:55,132 Speaker 2: I believe Jim, that's what it's cost. 1736 01:19:55,013 --> 01:19:57,732 Speaker 13: You now to buy it's full self driving right now, 1737 01:19:57,772 --> 01:19:59,732 Speaker 13: it cost you eleven thousand, four hundred dollars. 1738 01:20:00,093 --> 01:20:02,452 Speaker 3: Right, but it's not as enabled as it is in 1739 01:20:02,492 --> 01:20:04,333 Speaker 3: the United States. Is that correct? Here? 1740 01:20:05,772 --> 01:20:10,333 Speaker 13: Well, it does have traffic sign recognition and red light recognition, 1741 01:20:10,452 --> 01:20:14,732 Speaker 13: so it does that for you. It's it's a well, 1742 01:20:15,532 --> 01:20:18,612 Speaker 13: the current version is a long, long, long way off 1743 01:20:19,333 --> 01:20:22,572 Speaker 13: what I'd ever want to use to give to give 1744 01:20:22,612 --> 01:20:25,492 Speaker 13: you an idea on the motorway. The enhanced auto pilot, 1745 01:20:26,293 --> 01:20:30,213 Speaker 13: the car thinks it's smarter than you, so you're driving 1746 01:20:30,333 --> 01:20:34,572 Speaker 13: with no hands. It's navigating in the lane. But the 1747 01:20:34,652 --> 01:20:37,692 Speaker 13: car on your right or your left makes a slight 1748 01:20:38,013 --> 01:20:42,173 Speaker 13: move in the lane towards your lane, then the car 1749 01:20:42,253 --> 01:20:46,852 Speaker 13: will break heavily and it's it's it's quite frightening. It 1750 01:20:46,973 --> 01:20:50,572 Speaker 13: won't change lanes without you giving it a signal, and 1751 01:20:50,692 --> 01:20:53,372 Speaker 13: that's the same on the full self drive software, so 1752 01:20:53,532 --> 01:20:55,492 Speaker 13: you actually have to use it'll ask you to use 1753 01:20:55,532 --> 01:20:58,093 Speaker 13: your indicator to acknowledge that you're going to change lanes, 1754 01:20:58,133 --> 01:21:02,053 Speaker 13: and then it will do that for you. If it's 1755 01:21:02,213 --> 01:21:06,852 Speaker 13: just driving in the lane by itself, it's the same 1756 01:21:06,933 --> 01:21:10,652 Speaker 13: as adaptive cruise control on most other cars. But having 1757 01:21:10,692 --> 01:21:12,972 Speaker 13: said that, it's having driven a lot of other cars, 1758 01:21:13,093 --> 01:21:16,213 Speaker 13: it's way, way, way more accurate. So it stays in 1759 01:21:16,293 --> 01:21:20,892 Speaker 13: the center of the lane. You've got eight ten cameras 1760 01:21:20,933 --> 01:21:23,532 Speaker 13: on the car that are watching all around you, so 1761 01:21:23,612 --> 01:21:26,692 Speaker 13: you can see on your screen what car is beside you. 1762 01:21:27,133 --> 01:21:34,812 Speaker 13: And yeah, so it works good in one respect. And 1763 01:21:34,933 --> 01:21:39,372 Speaker 13: I think the full self driving software that we get 1764 01:21:39,452 --> 01:21:42,293 Speaker 13: here will be very similar to what's in the United States, 1765 01:21:42,412 --> 01:21:48,133 Speaker 13: where it worked very well in central cities and at 1766 01:21:48,213 --> 01:21:51,013 Speaker 13: low speed, but I think at high speed it's got 1767 01:21:51,053 --> 01:21:51,933 Speaker 13: a long, long way to go. 1768 01:21:52,412 --> 01:21:56,572 Speaker 2: So you said before, Jim that you were a uber driver. 1769 01:21:57,253 --> 01:22:02,612 Speaker 2: So we're talking about these robotaxis and the way MoU 1770 01:22:03,013 --> 01:22:06,092 Speaker 2: and you know what's available in San Francisco, for example, 1771 01:22:06,133 --> 01:22:08,253 Speaker 2: in the States, So what do you think about that 1772 01:22:08,612 --> 01:22:10,572 Speaker 2: in the future of Uber Driving. 1773 01:22:12,412 --> 01:22:14,333 Speaker 13: Well, I only do it as a retirement hobby, so 1774 01:22:14,412 --> 01:22:17,772 Speaker 13: it's no big deal for me. But it's I don't 1775 01:22:17,772 --> 01:22:19,293 Speaker 13: think we'll ever see it here. It's certainly not in 1776 01:22:19,412 --> 01:22:25,732 Speaker 13: my lifetime. The expense of setting it up versus an 1777 01:22:26,093 --> 01:22:30,932 Speaker 13: owner operated car, you'd have to have a fleet of them, 1778 01:22:31,692 --> 01:22:34,893 Speaker 13: and I just don't think we've got the population to 1779 01:22:34,973 --> 01:22:38,892 Speaker 13: support it. You might get it in Central Auckland at 1780 01:22:38,973 --> 01:22:43,572 Speaker 13: some stage, but beyond that, right, I think it's a 1781 01:22:43,612 --> 01:22:44,412 Speaker 13: long long way to go. 1782 01:22:44,732 --> 01:22:46,492 Speaker 2: I mean, but there's a potential that the cost of 1783 01:22:46,612 --> 01:22:49,532 Speaker 2: running it comes down quite quickly. I mean, you hear 1784 01:22:49,612 --> 01:22:53,452 Speaker 2: those those stories of how cheaply they're making e e 1785 01:22:53,652 --> 01:22:56,652 Speaker 2: vs in China at the moment. So there is there 1786 01:22:56,732 --> 01:22:59,253 Speaker 2: is a chance that this technology, once it's rolled out, 1787 01:22:59,372 --> 01:23:04,652 Speaker 2: becomes very very cheap. And Uber's business model, as you know, 1788 01:23:04,692 --> 01:23:08,173 Speaker 2: people that scratch the service the surface, they're always looking 1789 01:23:08,412 --> 01:23:09,772 Speaker 2: to get you know, they really want to get rid 1790 01:23:09,812 --> 01:23:12,492 Speaker 2: of the drivers because they see that as their their problem. 1791 01:23:12,612 --> 01:23:16,492 Speaker 13: So it could be Yeah, I agree one hundred percent, 1792 01:23:16,612 --> 01:23:20,253 Speaker 13: but it's economies of scale, and I just don't think 1793 01:23:20,333 --> 01:23:21,453 Speaker 13: that we hit the population. 1794 01:23:21,812 --> 01:23:24,333 Speaker 3: Yeah, I mean where they're set up there in huge cities, 1795 01:23:24,333 --> 01:23:24,812 Speaker 3: aren't they. 1796 01:23:24,933 --> 01:23:25,093 Speaker 1: You know? 1797 01:23:26,772 --> 01:23:28,652 Speaker 13: And I you'll find if you do a bit more 1798 01:23:28,692 --> 01:23:31,933 Speaker 13: research that they are only working in the like you 1799 01:23:31,973 --> 01:23:36,972 Speaker 13: were talking about San Francisco. It's the city center within 1800 01:23:37,652 --> 01:23:39,852 Speaker 13: five miles more radius. 1801 01:23:40,732 --> 01:23:42,852 Speaker 4: But to be fair, Jim, that's you know, I remember 1802 01:23:42,973 --> 01:23:45,852 Speaker 4: those those mufferings about Uber when it first launched and 1803 01:23:45,933 --> 01:23:47,812 Speaker 4: said Uber is only going to be in Auckland and 1804 01:23:47,893 --> 01:23:49,773 Speaker 4: it's never going to take off in the other regions 1805 01:23:50,572 --> 01:23:53,452 Speaker 4: because we've got taxi services, and of course it's rapidly 1806 01:23:53,572 --> 01:23:56,612 Speaker 4: expanded across most of New Zealand now. And the idea 1807 01:23:56,652 --> 01:23:58,852 Speaker 4: that you've got those small towns that can't find enough 1808 01:23:58,893 --> 01:24:01,612 Speaker 4: Uber drivers so they don't have Uber way MO kind 1809 01:24:01,652 --> 01:24:03,412 Speaker 4: of would take care of that, wouldn't. They don't actually 1810 01:24:03,452 --> 01:24:05,612 Speaker 4: need a driver, you just got the one car that 1811 01:24:05,732 --> 01:24:09,293 Speaker 4: has no driver that operates around everybody knows the local WAYMO. 1812 01:24:09,893 --> 01:24:10,452 Speaker 4: I could see that. 1813 01:24:10,532 --> 01:24:14,653 Speaker 13: Happening in theory that there is a possibility. 1814 01:24:16,013 --> 01:24:17,253 Speaker 2: I mean, there's going to have to be a certain 1815 01:24:17,293 --> 01:24:19,492 Speaker 2: amount of support though, I mean they go back to 1816 01:24:19,652 --> 01:24:22,492 Speaker 2: like a you know, a robotic vacuum cleaning. They've got 1817 01:24:22,532 --> 01:24:24,333 Speaker 2: to go back to the charging station, don't they. And 1818 01:24:24,412 --> 01:24:27,012 Speaker 2: then they're going to have to. They can't service themselves. 1819 01:24:27,333 --> 01:24:29,492 Speaker 2: I don't imagine they can check their tire pressure at this, 1820 01:24:29,772 --> 01:24:33,732 Speaker 2: you know, like pump up their tires. So be interesting 1821 01:24:33,812 --> 01:24:36,612 Speaker 2: how much back end service they need. Probably quite a bit, 1822 01:24:36,692 --> 01:24:38,213 Speaker 2: probably a bit more than you'd expect. 1823 01:24:39,492 --> 01:24:41,213 Speaker 13: Well they shouldn't do, because I mean, you're a standing 1824 01:24:41,213 --> 01:24:45,013 Speaker 13: at the ev is. There's nothing to spend on them. 1825 01:24:45,492 --> 01:24:48,492 Speaker 2: Yeah, yeah, but I mean like someone I imagine to 1826 01:24:48,572 --> 01:24:51,053 Speaker 2: keep a license. You know, you look at look how 1827 01:24:51,293 --> 01:24:54,812 Speaker 2: heavily they regulate lime scooters and stuff. I imagine that 1828 01:24:55,293 --> 01:24:57,053 Speaker 2: for it to be go ahead and say in New 1829 01:24:57,133 --> 01:25:00,572 Speaker 2: Zealand City, I imagine there'd be quite a lot of inspecting. 1830 01:25:00,652 --> 01:25:02,372 Speaker 2: It couldn't just be that you fire it off in 1831 01:25:02,452 --> 01:25:04,732 Speaker 2: the city and it just rolls around by itself, charging 1832 01:25:04,772 --> 01:25:07,173 Speaker 2: itself and just goes and goes. I imagine there'd be 1833 01:25:07,213 --> 01:25:10,933 Speaker 2: some regulations around, and you know, how they're serviced and 1834 01:25:10,973 --> 01:25:12,372 Speaker 2: how they're looked over, and how they checked to make 1835 01:25:12,412 --> 01:25:13,812 Speaker 2: sure that there's nothing wrong with them. 1836 01:25:13,853 --> 01:25:15,732 Speaker 3: But you know, I could be wrong. Hey, thanks to you. 1837 01:25:15,772 --> 01:25:17,892 Speaker 4: Call Jim, Thank you very much. 1838 01:25:17,933 --> 01:25:18,093 Speaker 15: Joe. 1839 01:25:18,093 --> 01:25:20,133 Speaker 4: One hundred eighty ten eighty is number to call A 1840 01:25:20,213 --> 01:25:21,852 Speaker 4: whole bunch of texts coming through on this. 1841 01:25:22,053 --> 01:25:24,612 Speaker 2: Just means people can drive intoxicated without getting a ticket 1842 01:25:24,692 --> 01:25:27,372 Speaker 2: because the car is self driving, or if is involved 1843 01:25:27,372 --> 01:25:30,293 Speaker 2: in an accent, who is responsible the robot? Yeah, well, 1844 01:25:30,293 --> 01:25:33,093 Speaker 2: I mean you can drive an uber intoxicated as long 1845 01:25:33,093 --> 01:25:33,732 Speaker 2: as you're not driving. 1846 01:25:33,853 --> 01:25:35,852 Speaker 3: Yeah, you can be at the vas. You're no liability 1847 01:25:35,933 --> 01:25:37,333 Speaker 3: for you on that you start to be at the 1848 01:25:37,333 --> 01:25:39,173 Speaker 3: backseat of an uber intoxicated already. 1849 01:25:39,333 --> 01:25:41,932 Speaker 4: Exactly oh eight hundred eighty ten eighty is a number 1850 01:25:41,973 --> 01:25:44,253 Speaker 4: to call. Self driving cars are coming to the New 1851 01:25:44,333 --> 01:25:46,572 Speaker 4: Zealand market very soon. How do you feel about that? 1852 01:25:46,652 --> 01:25:48,812 Speaker 4: Does that terrify you? Or are you fizzed up with 1853 01:25:49,053 --> 01:25:49,253 Speaker 4: But the. 1854 01:25:49,253 --> 01:25:51,093 Speaker 3: Text doesn't make a good point. There will have to 1855 01:25:51,133 --> 01:25:52,253 Speaker 3: be legislation at some point. 1856 01:25:52,293 --> 01:25:57,093 Speaker 2: If they agree that self driving cars are you know, 1857 01:25:57,253 --> 01:26:03,173 Speaker 2: safe enough, then they have to then agree that you 1858 01:26:03,293 --> 01:26:07,133 Speaker 2: can sit behind the world of one intoxicated, right, Yeah, 1859 01:26:07,492 --> 01:26:08,652 Speaker 2: because what's it fronts? 1860 01:26:08,692 --> 01:26:10,772 Speaker 4: Because you're not got you you don't have any control 1861 01:26:10,893 --> 01:26:12,053 Speaker 4: really of what that car is doing. 1862 01:26:12,173 --> 01:26:15,572 Speaker 3: Yeah, you're pissed up. Yeah, you're watching that steering whill 1863 01:26:15,612 --> 01:26:16,852 Speaker 3: turn sober or drunk? 1864 01:26:16,893 --> 01:26:21,892 Speaker 4: Yeah, differences exactly seventeen pass three news talks'd be very 1865 01:26:21,893 --> 01:26:24,852 Speaker 4: good afternoon, June nineteen pass three. So we're talking about 1866 01:26:25,133 --> 01:26:27,932 Speaker 4: self driving cars. The technology or the software is coming 1867 01:26:27,933 --> 01:26:30,572 Speaker 4: to the New Zealand market from Tesla very very soon. 1868 01:26:31,492 --> 01:26:34,052 Speaker 3: How will a self driving car know if you've vomited 1869 01:26:34,093 --> 01:26:35,173 Speaker 3: in the back of it? Says Mark. 1870 01:26:35,213 --> 01:26:36,492 Speaker 4: It's a good point where they have some sort of 1871 01:26:36,532 --> 01:26:37,932 Speaker 4: adjecta seat that they just boomed. 1872 01:26:38,452 --> 01:26:39,213 Speaker 3: Can you imagine that? 1873 01:26:39,492 --> 01:26:41,772 Speaker 2: So your way moo turns up and it can't doesn't 1874 01:26:41,772 --> 01:26:44,772 Speaker 2: have the senses to notice that someone soiled the car, 1875 01:26:44,893 --> 01:26:46,932 Speaker 2: so you climb into someone's filthy mess. 1876 01:26:47,093 --> 01:26:48,612 Speaker 4: I need to find out how they deal with that. 1877 01:26:48,812 --> 01:26:53,532 Speaker 3: I'll tell you what I've heard rumors that how do 1878 01:26:53,652 --> 01:26:54,013 Speaker 3: I put this? 1879 01:26:54,532 --> 01:26:58,092 Speaker 2: There's a bit of a challenge going on in cities 1880 01:26:58,133 --> 01:27:02,053 Speaker 2: with self driving cars, similar to joining the you know, 1881 01:27:02,652 --> 01:27:03,372 Speaker 2: the mile high. 1882 01:27:03,253 --> 01:27:06,293 Speaker 4: Club, that it'd be hard to say no to that 1883 01:27:06,372 --> 01:27:07,133 Speaker 4: if there's no driver. 1884 01:27:07,452 --> 01:27:09,452 Speaker 3: Well, I mean you'll be there's a lot of filming 1885 01:27:09,532 --> 01:27:11,692 Speaker 3: going on in those Texas. It's a good point. Yeah, yeah, 1886 01:27:11,772 --> 01:27:14,213 Speaker 3: it's going to come out eventually. Oh no, But wherever 1887 01:27:14,293 --> 01:27:16,293 Speaker 3: there's something like that, people are doing something like that. 1888 01:27:17,333 --> 01:27:19,213 Speaker 4: Oh one hundred and eighty ten eighty is the number 1889 01:27:19,253 --> 01:27:19,532 Speaker 4: to call. 1890 01:27:19,812 --> 01:27:21,012 Speaker 3: Kathy welcome to the show. 1891 01:27:21,973 --> 01:27:24,452 Speaker 19: Hi sat Tyler, that was man. 1892 01:27:25,772 --> 01:27:29,213 Speaker 5: Oh sorry, I'm confused, Tyler, it was Tyler. 1893 01:27:29,772 --> 01:27:30,093 Speaker 4: That's me. 1894 01:27:31,812 --> 01:27:32,012 Speaker 6: Yep. 1895 01:27:32,213 --> 01:27:35,013 Speaker 5: I'm never going to hear your voice in the Lune Avenue. 1896 01:27:34,732 --> 01:27:35,972 Speaker 17: Supermark because you're moving. 1897 01:27:36,253 --> 01:27:38,572 Speaker 4: Yeah, I'm sorry. Sorry, Kathy, I'm out of Mount Wellington. 1898 01:27:38,652 --> 01:27:41,293 Speaker 4: I love it and love you, but yeah, you know 1899 01:27:41,692 --> 01:27:44,893 Speaker 4: you don't know if you love me. Well you know 1900 01:27:45,013 --> 01:27:46,692 Speaker 4: we have just thought out Yeah your oven, so that 1901 01:27:46,853 --> 01:27:47,772 Speaker 4: that shows a bit of love them. 1902 01:27:48,133 --> 01:27:50,973 Speaker 5: Yes, and I'll to the day I die, I'll be 1903 01:27:51,053 --> 01:27:51,692 Speaker 5: grateful to you. 1904 01:27:51,812 --> 01:27:52,732 Speaker 18: You're wonderful people. 1905 01:27:52,772 --> 01:27:55,612 Speaker 4: To go on, now, let's have a chat about self driving. 1906 01:27:55,652 --> 01:28:01,253 Speaker 5: You don't like it, okay, horrific, revolting? What another word 1907 01:28:01,333 --> 01:28:04,892 Speaker 5: can I find for it? Going back in time? 1908 01:28:05,452 --> 01:28:05,492 Speaker 1: No? 1909 01:28:05,772 --> 01:28:06,372 Speaker 10: Not awome. 1910 01:28:08,412 --> 01:28:10,692 Speaker 5: I don't want to climb in a car that's got 1911 01:28:10,812 --> 01:28:11,412 Speaker 5: nobody in it. 1912 01:28:11,812 --> 01:28:13,093 Speaker 10: It's so revaulting. 1913 01:28:13,532 --> 01:28:16,093 Speaker 5: And why should I even pay for When you're a 1914 01:28:16,173 --> 01:28:19,732 Speaker 5: driver's license or do license? You have a license and 1915 01:28:20,053 --> 01:28:24,013 Speaker 5: somebody a car's going around with nobody behind the wheel, well, I. 1916 01:28:24,053 --> 01:28:26,452 Speaker 3: Mean it's pretty pretty handy. Say for people. 1917 01:28:26,492 --> 01:28:29,612 Speaker 2: What about the situation, Kathy, People that are, you know, 1918 01:28:29,772 --> 01:28:32,293 Speaker 2: getting a bit older and they can't pass their driver's 1919 01:28:32,333 --> 01:28:35,812 Speaker 2: license test anymore, and they still want to get around, 1920 01:28:35,853 --> 01:28:38,532 Speaker 2: and it's an opportunity for people to keep their independence, surely, Kathy. 1921 01:28:39,652 --> 01:28:42,692 Speaker 5: What about taxis with real people driving them? 1922 01:28:44,293 --> 01:28:46,652 Speaker 2: Yeah, yeah, they work well well, I mean yeah, there's 1923 01:28:46,692 --> 01:28:48,293 Speaker 2: that part of it as well. So there's self driving 1924 01:28:48,412 --> 01:28:52,213 Speaker 2: cars that's a private vehicle, and then there's the self 1925 01:28:52,293 --> 01:28:52,972 Speaker 2: driving taxi. 1926 01:28:53,173 --> 01:28:56,572 Speaker 5: So yeah, I just think, what on earth is coming 1927 01:28:56,692 --> 01:28:59,572 Speaker 5: next to this world? As crazy as it is, And 1928 01:28:59,893 --> 01:29:01,892 Speaker 5: this is the last draw. 1929 01:29:02,133 --> 01:29:06,093 Speaker 3: Really, that's okay, that's the last one Kathy's opting out. 1930 01:29:06,253 --> 01:29:09,772 Speaker 4: Yeah, well, brace yourself, Kathy, because it is coming and 1931 01:29:09,893 --> 01:29:12,293 Speaker 4: it's got to change very very quickly. But at a 1932 01:29:12,293 --> 01:29:14,253 Speaker 4: big note to Kathy, she loves the humans and fair 1933 01:29:14,333 --> 01:29:17,053 Speaker 4: enough too. Oh eight hundred eighty ten eighty is the 1934 01:29:17,173 --> 01:29:19,253 Speaker 4: number to call if you can't get through, keep trying. 1935 01:29:19,293 --> 01:29:21,133 Speaker 4: We've got full boards with some great techs coming through. 1936 01:29:21,293 --> 01:29:23,692 Speaker 2: Yeah, there's all these people's texting this through and there 1937 01:29:23,692 --> 01:29:25,293 Speaker 2: has been the guys. People in the States have been 1938 01:29:25,333 --> 01:29:27,812 Speaker 2: disabling driverless taxis by putting a road cone in front 1939 01:29:27,812 --> 01:29:30,253 Speaker 2: of them and behind them. They sense an obstruction and 1940 01:29:30,692 --> 01:29:34,333 Speaker 2: won't move steed. Yeah, I mean pranking the old I 1941 01:29:34,372 --> 01:29:35,852 Speaker 2: mean you could if you wanted to do that kind 1942 01:29:35,853 --> 01:29:36,532 Speaker 2: of thing, you can do it. 1943 01:29:37,253 --> 01:29:40,293 Speaker 4: Don't mess with the AII, yeah, because they'll find out. 1944 01:29:40,412 --> 01:29:41,973 Speaker 4: You know, it's coming to a point where you muck 1945 01:29:42,013 --> 01:29:44,773 Speaker 4: around with AI too much and they'll remember, they'll remember. 1946 01:29:44,532 --> 01:29:47,013 Speaker 3: We'll put tases on the back in front. People keep 1947 01:29:47,093 --> 01:29:47,652 Speaker 3: start doing. 1948 01:29:47,532 --> 01:29:50,012 Speaker 4: That exactly twenty three Parts three. What do you reckon 1949 01:29:50,013 --> 01:29:53,692 Speaker 4: about self driving technology? You've fizzed up or terrified. 1950 01:29:53,253 --> 01:29:55,173 Speaker 3: Because it's coming to New Zealand soon. 1951 01:29:59,612 --> 01:30:02,972 Speaker 1: Matt Heath and Tyler Adams afternoons call oh eight hundred 1952 01:30:02,973 --> 01:30:04,972 Speaker 1: and eighty ten eighty on youth Talk ZB. 1953 01:30:05,452 --> 01:30:08,572 Speaker 4: It is twenty five past three. Self driving software is 1954 01:30:08,612 --> 01:30:10,532 Speaker 4: coming to the New Zealand market. Could deceive Tesla. 1955 01:30:10,812 --> 01:30:11,772 Speaker 3: Yeah, and whilst this. 1956 01:30:11,933 --> 01:30:16,732 Speaker 2: Hasn't been any any time scale for this coming to 1957 01:30:16,812 --> 01:30:19,852 Speaker 2: New Zealand. Robotaxis and Waymo taxis where you get picked 1958 01:30:19,893 --> 01:30:22,652 Speaker 2: up by a car with no driver and we were 1959 01:30:22,692 --> 01:30:26,372 Speaker 2: discussing before and if someone soeals it before you, well, hi, 1960 01:30:26,492 --> 01:30:29,452 Speaker 2: guys with Waymo taxis on their app, you can let 1961 01:30:29,532 --> 01:30:32,612 Speaker 2: them know if the car is untidy. Someone turns up 1962 01:30:32,652 --> 01:30:34,372 Speaker 2: real fast and another car is sent to you. The 1963 01:30:34,412 --> 01:30:36,772 Speaker 2: problem with them in La Is. They stick to the 1964 01:30:36,812 --> 01:30:39,972 Speaker 2: speed limit and it's a bit unnerving for with everyone passing. 1965 01:30:40,053 --> 01:30:42,053 Speaker 2: You have a great afternoon, love your show, Thanks for 1966 01:30:42,093 --> 01:30:44,852 Speaker 2: your text. Great text, right, Yeah, I mean that I 1967 01:30:44,893 --> 01:30:46,492 Speaker 2: should have thought about that. If you open the door 1968 01:30:46,612 --> 01:30:49,812 Speaker 2: to your Weaimo or your Robotax and it's been soiled, 1969 01:30:50,013 --> 01:30:53,052 Speaker 2: you're not going to get You're going to go no, no, thanks. 1970 01:30:52,812 --> 01:30:58,052 Speaker 4: Another car, please car. Mike, you've you're a Tesla owner 1971 01:30:58,093 --> 01:30:59,132 Speaker 4: and you're paid for the software. 1972 01:31:00,412 --> 01:31:00,612 Speaker 16: Yeah. 1973 01:31:01,133 --> 01:31:04,893 Speaker 12: Yeah, we just paid up front and we've run the 1974 01:31:04,933 --> 01:31:11,772 Speaker 12: car just seven weeks so far. We actually flew up 1975 01:31:11,893 --> 01:31:15,612 Speaker 12: to Auckland to pick it up and drove it thirty 1976 01:31:15,692 --> 01:31:21,173 Speaker 12: five hundred k's into the South Island and we spend 1977 01:31:21,173 --> 01:31:25,612 Speaker 12: one hundred and eighty dollars doing that on fuel, which 1978 01:31:25,692 --> 01:31:26,173 Speaker 12: is pretty good. 1979 01:31:26,333 --> 01:31:26,532 Speaker 5: YEP. 1980 01:31:27,612 --> 01:31:31,213 Speaker 12: I bought the self driving function because although it doesn't 1981 01:31:31,213 --> 01:31:33,333 Speaker 12: affect me right yet, we do hope that this car 1982 01:31:33,372 --> 01:31:36,772 Speaker 12: will be a last car that we buy. And I'm 1983 01:31:37,133 --> 01:31:40,293 Speaker 12: looking forward to a time when we show up the 1984 01:31:40,333 --> 01:31:42,692 Speaker 12: Ministry of Transport to renew my driver's license and that 1985 01:31:42,772 --> 01:31:45,812 Speaker 12: says no, that's not going to happen. And at that 1986 01:31:45,973 --> 01:31:47,772 Speaker 12: point I'll be able to put my hands off the 1987 01:31:47,812 --> 01:31:49,372 Speaker 12: wheel and say, what's not my fault. 1988 01:31:53,093 --> 01:31:56,933 Speaker 2: Yeah, I mean that there as this technology becomes in 1989 01:31:57,253 --> 01:31:59,933 Speaker 2: and you know, if we if it's fully trusted and 1990 01:32:00,333 --> 01:32:03,133 Speaker 2: the laws are changed so it's completely operational on your sid, 1991 01:32:03,213 --> 01:32:05,173 Speaker 2: it's going to open up the world to a whole 1992 01:32:05,213 --> 01:32:08,253 Speaker 2: lot of people that are currently because I mean when 1993 01:32:08,412 --> 01:32:11,213 Speaker 2: when someone gets you know, gets the driver's license taken 1994 01:32:11,213 --> 01:32:13,133 Speaker 2: away from them when they're much older, that really can 1995 01:32:13,253 --> 01:32:16,973 Speaker 2: limit someone's life. So there's could could be an absolutely 1996 01:32:17,572 --> 01:32:18,772 Speaker 2: fantastic result from this. 1997 01:32:20,412 --> 01:32:24,173 Speaker 12: Yeah. Absolutely, Well my mum and dad know, well Mon 1998 01:32:24,293 --> 01:32:27,253 Speaker 12: passed away a year or so ago, but Dad had 1999 01:32:27,293 --> 01:32:30,293 Speaker 12: his license taken off him and basically then you're stuck. 2000 01:32:30,333 --> 01:32:34,013 Speaker 12: You can't go to supermarket, you can't do anything, and 2001 01:32:34,372 --> 01:32:36,452 Speaker 12: you know that it does kind of end your life 2002 01:32:36,532 --> 01:32:40,732 Speaker 12: really in some respects. And now that doesn't have to 2003 01:32:40,812 --> 01:32:45,013 Speaker 12: be the case. So I'm looking forward to that. So 2004 01:32:45,572 --> 01:32:48,572 Speaker 12: it's not been enabled just as of today yet. It 2005 01:32:48,652 --> 01:32:50,852 Speaker 12: was supposed to happen last Friday, and then it said 2006 01:32:50,893 --> 01:32:52,093 Speaker 12: that it was supposed to be by the end of 2007 01:32:52,093 --> 01:32:55,893 Speaker 12: the month, which was yesterday, but that didn't happen. But 2008 01:32:56,053 --> 01:33:00,173 Speaker 12: we drove a car back on the first level, which 2009 01:33:00,253 --> 01:33:04,852 Speaker 12: is autoste and basically he didn't really touch the steering 2010 01:33:04,893 --> 01:33:06,772 Speaker 12: with all that. Often it does nag to say that, 2011 01:33:07,173 --> 01:33:09,932 Speaker 12: you know, you have to do that, keep your hands 2012 01:33:09,973 --> 01:33:13,412 Speaker 12: on the wheel, whatch you do just lightly and then 2013 01:33:13,492 --> 01:33:15,692 Speaker 12: it just you know, steers a round, bends and does stuff. 2014 01:33:16,093 --> 01:33:17,093 Speaker 11: It's really really good. 2015 01:33:18,893 --> 01:33:21,053 Speaker 12: But in each of these when you enable each of 2016 01:33:21,093 --> 01:33:24,213 Speaker 12: these features, it comes up and it says, this is 2017 01:33:24,333 --> 01:33:29,772 Speaker 12: beta software. We're nowhere responsible for what happens when you 2018 01:33:29,933 --> 01:33:34,532 Speaker 12: use the software. Actually that will change. It has done 2019 01:33:34,692 --> 01:33:38,133 Speaker 12: since Tesla introduced their self driving package what they called 2020 01:33:38,173 --> 01:33:41,333 Speaker 12: full self driving from day one. But it's always had 2021 01:33:41,452 --> 01:33:44,772 Speaker 12: that feature. So anyone that has an accident, it's on them, 2022 01:33:46,133 --> 01:33:49,772 Speaker 12: you know. Unfortunate that some judges may be haters of 2023 01:33:50,013 --> 01:33:55,452 Speaker 12: technology and therefore attribute blame. But clearly, when you engage 2024 01:33:55,572 --> 01:33:59,093 Speaker 12: that software, it very clearly comes up and it says, 2025 01:33:59,133 --> 01:34:01,852 Speaker 12: you know, this is only beta software and you're legally 2026 01:34:01,933 --> 01:34:06,333 Speaker 12: responsible for it. Goes through quite a spiel in saying that, 2027 01:34:06,772 --> 01:34:09,852 Speaker 12: and you know something, Yeah, you don't need to be 2028 01:34:09,893 --> 01:34:17,053 Speaker 12: in any notion that it's it's the it's the full 2029 01:34:17,173 --> 01:34:18,933 Speaker 12: deal and you just fall asleep behind the wheel and 2030 01:34:19,013 --> 01:34:19,452 Speaker 12: let it rip. 2031 01:34:20,293 --> 01:34:21,772 Speaker 3: Yeah, think for you call Mike. Yes. 2032 01:34:21,933 --> 01:34:24,412 Speaker 2: So the level two driver system knowledge allows the car 2033 01:34:24,492 --> 01:34:28,612 Speaker 2: to accelerate, stair and navigate traffic, though the driver remains 2034 01:34:28,812 --> 01:34:29,933 Speaker 2: legally responsible. 2035 01:34:30,452 --> 01:34:32,772 Speaker 3: So that's what the test Tesla. So that's eleven four 2036 01:34:32,853 --> 01:34:35,173 Speaker 3: hundred dollars to get that upgrade for your car. 2037 01:34:35,333 --> 01:34:38,492 Speaker 4: Yeah, and if it goes wrong, then you are in 2038 01:34:38,572 --> 01:34:41,372 Speaker 4: the hot seat, you're responsible. Tesla can say, hey, look, 2039 01:34:41,492 --> 01:34:44,253 Speaker 4: you know we said this was on you. 2040 01:34:44,812 --> 01:34:49,133 Speaker 2: Yeah, in that in that case that we're talking about before, 2041 01:34:49,333 --> 01:34:51,333 Speaker 2: that's what Tesla said. They said that the person behind 2042 01:34:51,372 --> 01:34:54,372 Speaker 2: the wheel was legally responsible. But then they hidden some 2043 01:34:55,253 --> 01:34:57,732 Speaker 2: from my understanding of the case, they had said that 2044 01:34:57,853 --> 01:35:00,772 Speaker 2: they didn't have the data yeah to supply the court. 2045 01:35:01,173 --> 01:35:02,892 Speaker 2: But then a hacker came in and found the data. 2046 01:35:03,093 --> 01:35:04,972 Speaker 2: And so I think that's part of why the judgment's 2047 01:35:04,973 --> 01:35:07,093 Speaker 2: gone so heavily against Tesla two hundred and forty three 2048 01:35:07,133 --> 01:35:10,572 Speaker 2: million dollars, right, because I don't know for sure, but 2049 01:35:10,652 --> 01:35:13,133 Speaker 2: the suggestion is that they were being a little bit 2050 01:35:14,053 --> 01:35:16,532 Speaker 2: sneaky by not surprising supplying the data. 2051 01:35:16,692 --> 01:35:16,852 Speaker 7: Yeah. 2052 01:35:16,973 --> 01:35:19,293 Speaker 4: Fascinating times. Oh one hundred and eighty ten eighty is 2053 01:35:19,372 --> 01:35:22,293 Speaker 4: the number to call. Self driving software is on its 2054 01:35:22,333 --> 01:35:24,852 Speaker 4: way to the New Zealand market. Tesla has announced that 2055 01:35:25,372 --> 01:35:26,972 Speaker 4: we are going to be one of the first markets 2056 01:35:27,013 --> 01:35:30,612 Speaker 4: in the world to have that software for right hand driving. 2057 01:35:30,732 --> 01:35:32,932 Speaker 4: What do you say, if you're a Tesla driver, are 2058 01:35:32,933 --> 01:35:36,053 Speaker 4: you're going to buy the software? And if you are 2059 01:35:36,133 --> 01:35:37,933 Speaker 4: not a Tesla driver you're a bit terrified by this? 2060 01:35:38,293 --> 01:35:40,732 Speaker 2: Sooner the better for self driving, better traffic flows, no 2061 01:35:40,812 --> 01:35:41,892 Speaker 2: one blocking lights by. 2062 01:35:41,933 --> 01:35:43,532 Speaker 3: Running orange ones and not. 2063 01:35:43,612 --> 01:35:46,972 Speaker 2: Getting through, less accidents. The list is endless. This will 2064 01:35:47,013 --> 01:35:48,012 Speaker 2: be awesome, sins Gareth. 2065 01:35:48,133 --> 01:35:50,452 Speaker 4: So there's a lot of fans twenty nine to four. 2066 01:35:52,692 --> 01:35:56,053 Speaker 14: You talk, sa'd be headlines with blue bubble taxis. It's 2067 01:35:56,133 --> 01:35:59,652 Speaker 14: no trouble with a blue bubble. Foreign investors with an 2068 01:35:59,692 --> 01:36:02,732 Speaker 14: Investor Residency visa will soon be able to buy a 2069 01:36:02,812 --> 01:36:05,572 Speaker 14: house in New Zealand, but only if it's valued over 2070 01:36:05,692 --> 01:36:08,772 Speaker 14: five million dollars. The new rules will only apply to 2071 01:36:08,853 --> 01:36:12,133 Speaker 14: those who've invested at least five million dollars here on 2072 01:36:12,293 --> 01:36:15,213 Speaker 14: top of the value of the house. The Gray District 2073 01:36:15,253 --> 01:36:19,093 Speaker 14: Council has called in police after online threats to councilors, 2074 01:36:19,253 --> 01:36:23,812 Speaker 14: including references to assassination and torture. The government is looking 2075 01:36:23,893 --> 01:36:26,253 Speaker 14: to address a hold up to the expansion of the 2076 01:36:26,333 --> 01:36:29,772 Speaker 14: country's largest port, port of Titong, says it may have 2077 01:36:29,933 --> 01:36:33,253 Speaker 14: to turn away ships after a High Court judge halted 2078 01:36:33,333 --> 01:36:36,933 Speaker 14: the potential fast tracking of its expansion due to the 2079 01:36:37,013 --> 01:36:40,253 Speaker 14: wording of the fast track legislation. The number of Keywi 2080 01:36:40,333 --> 01:36:44,133 Speaker 14: students learning another language is steadily dropping, with a new 2081 01:36:44,253 --> 01:36:48,133 Speaker 14: report recommending it now become a requirement for years seven 2082 01:36:48,213 --> 01:36:51,812 Speaker 14: to ten. Sand mining at Parkety Beach north of Auckland 2083 01:36:51,973 --> 01:36:55,892 Speaker 14: has officially been ruled out. McCullum Brothers Limited has reached 2084 01:36:55,933 --> 01:37:01,493 Speaker 14: a settlement agreement with nat Manaherti and Auckland Council, effective immediately. 2085 01:37:02,213 --> 01:37:05,533 Speaker 14: The obscure law driving some of New Zealand's best directors 2086 01:37:05,612 --> 01:37:09,133 Speaker 14: to Australia. See the story at Enzid Herald Press. Now 2087 01:37:09,213 --> 01:37:10,932 Speaker 14: back to Matt Heath and Tyler Adam. 2088 01:37:11,013 --> 01:37:12,973 Speaker 4: Thank you very much, SUSI. Twenty five to four. So 2089 01:37:13,053 --> 01:37:15,933 Speaker 4: Tesla has outlined the New Zealand introduction of the flagship 2090 01:37:15,973 --> 01:37:19,612 Speaker 4: tire of its semi autonomous driving software. They haven't said 2091 01:37:19,612 --> 01:37:21,893 Speaker 4: an exact date, but it is coming here first. So 2092 01:37:22,333 --> 01:37:24,172 Speaker 4: we've put the call out to you, our dear listeners. 2093 01:37:24,173 --> 01:37:26,053 Speaker 4: How do you feel about self driving cars coming to 2094 01:37:26,173 --> 01:37:26,732 Speaker 4: our roads? 2095 01:37:27,253 --> 01:37:30,012 Speaker 2: Can it merge better than a keiw How about keeping 2096 01:37:30,093 --> 01:37:34,293 Speaker 2: left on passing on a less passing might be a 2097 01:37:34,333 --> 01:37:38,253 Speaker 2: good thing. Yeah, keywis can't drive. Self driving cars might 2098 01:37:38,333 --> 01:37:39,412 Speaker 2: be able to the sticks. 2099 01:37:39,532 --> 01:37:41,452 Speaker 4: Merging is a massive thing. If it can merge, better 2100 01:37:41,572 --> 01:37:41,973 Speaker 4: bring it on. 2101 01:37:42,532 --> 01:37:46,932 Speaker 3: Yeah, yes, so Liz, Welcome to the show. 2102 01:37:47,973 --> 01:37:51,412 Speaker 19: Hi Tyler, Hi mart. One of the points has already 2103 01:37:51,492 --> 01:37:54,492 Speaker 19: been made, which was for the older people. As you 2104 01:37:54,532 --> 01:37:56,812 Speaker 19: get older and you have to set your driving license, 2105 01:37:56,893 --> 01:38:00,372 Speaker 19: it's quite anxious time waiting to see you're going to 2106 01:38:00,412 --> 01:38:03,333 Speaker 19: have your driver's license, because if you suddenly lose it, 2107 01:38:03,452 --> 01:38:06,053 Speaker 19: you become very very isolated, if you don't have much 2108 01:38:06,093 --> 01:38:08,692 Speaker 19: family around you. We're very lucky in that way. But 2109 01:38:08,812 --> 01:38:13,173 Speaker 19: the other point is actually people on meds for maybe epilepsy, 2110 01:38:13,253 --> 01:38:17,053 Speaker 19: things like that, who are Yes. I mean I'm not 2111 01:38:17,853 --> 01:38:20,293 Speaker 19: a huge fan. I don't even have them about phone 2112 01:38:20,412 --> 01:38:23,333 Speaker 19: or a computer, so it would be quite difficult for 2113 01:38:23,452 --> 01:38:26,852 Speaker 19: me to use these things called absent things. But I 2114 01:38:26,973 --> 01:38:30,293 Speaker 19: can see if it's really really good in the future, 2115 01:38:30,333 --> 01:38:32,692 Speaker 19: it would be a huge help to stop people feeling 2116 01:38:32,772 --> 01:38:37,852 Speaker 19: isolated and people being able to continue working because of 2117 01:38:37,973 --> 01:38:39,492 Speaker 19: as a say, epilepsy and things like that. 2118 01:38:40,732 --> 01:38:43,293 Speaker 4: Yes, spot on, I mean, you know, when Uber eats 2119 01:38:43,372 --> 01:38:45,173 Speaker 4: came to the party and it still gets a bit 2120 01:38:45,213 --> 01:38:47,893 Speaker 4: of controversy. But for people who can't go out and 2121 01:38:48,053 --> 01:38:50,612 Speaker 4: drive and pick up their own food and whatnot, there's 2122 01:38:50,652 --> 01:38:52,532 Speaker 4: been a game changer itself, right, So this could be 2123 01:38:52,532 --> 01:38:53,612 Speaker 4: another situation like that. 2124 01:38:54,333 --> 01:38:57,932 Speaker 19: Yes, yes, and I think certainly for the elderly. I think, 2125 01:38:58,133 --> 01:39:01,852 Speaker 19: you know, if you've driven all of your life and 2126 01:39:01,933 --> 01:39:04,412 Speaker 19: then suddenly that's taken away from you, and maybe you 2127 01:39:04,532 --> 01:39:08,133 Speaker 19: don't live near to close public transport, then it's a 2128 01:39:08,492 --> 01:39:10,892 Speaker 19: huge change to your life, and I suspect could lead 2129 01:39:10,973 --> 01:39:12,293 Speaker 19: to severe depression, etc. 2130 01:39:13,013 --> 01:39:16,492 Speaker 2: Absolutely, when you get shut down and you can't visit people, 2131 01:39:16,572 --> 01:39:18,732 Speaker 2: can't deliver, people can't go to your whatever clubs or 2132 01:39:18,812 --> 01:39:20,972 Speaker 2: pick up whatever you need to do, do your own groceries, 2133 01:39:21,013 --> 01:39:22,053 Speaker 2: all that kind of stuff. 2134 01:39:21,853 --> 01:39:24,572 Speaker 19: And even asking friends to help you out. You can 2135 01:39:24,652 --> 01:39:27,532 Speaker 19: only do that so often, so you probably start to 2136 01:39:27,572 --> 01:39:28,612 Speaker 19: feel like quite a burden. 2137 01:39:28,732 --> 01:39:28,972 Speaker 10: Really. 2138 01:39:29,412 --> 01:39:33,972 Speaker 2: Yeah, thank you for your callers, good point, Good afternoon, guys. 2139 01:39:34,093 --> 01:39:37,892 Speaker 2: Sorry I'm not with you on this hype around this stuff. 2140 01:39:37,933 --> 01:39:40,172 Speaker 2: They have been over There have been over fifty fatalities 2141 01:39:40,253 --> 01:39:44,532 Speaker 2: using Tesla software as just one example. Weimo by contrast, 2142 01:39:44,572 --> 01:39:48,253 Speaker 2: which uses way more so. Sciate technology like Leder has 2143 01:39:48,372 --> 01:39:51,213 Speaker 2: zero fatalities. The only desk that it is linked to 2144 01:39:52,013 --> 01:39:55,012 Speaker 2: WEAEIMO is the fact and out of control Tesla which 2145 01:39:55,053 --> 01:39:57,852 Speaker 2: crashed into one, killing the Tesla occupant. Just keep an 2146 01:39:57,893 --> 01:40:00,212 Speaker 2: eye out on all the lawsuits that have been settled 2147 01:40:00,253 --> 01:40:03,012 Speaker 2: by Tesla today, So the highest number that I can find. 2148 01:40:03,692 --> 01:40:05,493 Speaker 2: But you know, I'm not saying you're wrong, as seventeen 2149 01:40:05,692 --> 01:40:08,892 Speaker 2: fatalities in Tesla sort of pushback on few of them. 2150 01:40:10,293 --> 01:40:13,013 Speaker 2: So it's certainly not without out problems. But you've got 2151 01:40:13,053 --> 01:40:14,692 Speaker 2: to say the technology is getting better and better and 2152 01:40:14,732 --> 01:40:17,852 Speaker 2: better and better, definitely. And what I would say is 2153 01:40:17,973 --> 01:40:20,133 Speaker 2: that humans are quite capable of crashing. 2154 01:40:19,933 --> 01:40:22,293 Speaker 4: One hundred percent. I'm just trying to than humans. 2155 01:40:22,013 --> 01:40:23,932 Speaker 2: Are quite capable of falling asleep at the wheel. Yeah, 2156 01:40:24,093 --> 01:40:26,493 Speaker 2: humans are quite capable of drunk driving exactly. 2157 01:40:26,853 --> 01:40:28,972 Speaker 4: So if you look at the number of driving hours 2158 01:40:29,093 --> 01:40:31,772 Speaker 4: Tesla have and you come to the conclusion that there 2159 01:40:31,893 --> 01:40:34,492 Speaker 4: was seventeen recorded deaths, and then look at the number 2160 01:40:34,492 --> 01:40:38,212 Speaker 4: of driving hours for human powered driving and the fatality 2161 01:40:38,293 --> 01:40:38,732 Speaker 4: is there. 2162 01:40:38,612 --> 01:40:40,652 Speaker 2: Well, all that is really contested though, because you know 2163 01:40:40,732 --> 01:40:42,372 Speaker 2: the Tesla, the lawyers are going to say that one 2164 01:40:42,812 --> 01:40:44,732 Speaker 2: was an ass that one was this, but so seventeen 2165 01:40:45,333 --> 01:40:48,372 Speaker 2: confirmed a lot of Tessler's out there. But yeah, I 2166 01:40:48,532 --> 01:40:50,972 Speaker 2: know how you'd feel if one of your loved ones 2167 01:40:52,652 --> 01:40:55,492 Speaker 2: got killed by Tesla a self driving car. Yeah, imagine 2168 01:40:55,492 --> 01:40:56,772 Speaker 2: you'd pretty angry at the company. 2169 01:40:56,933 --> 01:40:59,892 Speaker 4: Absolutely, Yeah, but the technology is getting incredibly good. I'm 2170 01:40:59,933 --> 01:41:02,932 Speaker 4: just thinking about the vehicle we've got, which isn't Eclipse, 2171 01:41:02,933 --> 01:41:05,532 Speaker 4: so it's got the self breaking technology. And I've got 2172 01:41:05,612 --> 01:41:07,772 Speaker 4: to say, there was one occasion when I was coming 2173 01:41:07,853 --> 01:41:09,772 Speaker 4: up and it's got the big light saying break, break, break, 2174 01:41:09,772 --> 01:41:12,013 Speaker 4: because it thinks it can see something confront And there 2175 01:41:12,053 --> 01:41:14,333 Speaker 4: was one occasion there was nothing there. God knows what's 2176 01:41:14,372 --> 01:41:15,812 Speaker 4: set it off, and it hit the brakes and I 2177 01:41:15,973 --> 01:41:18,412 Speaker 4: was bloody terrified because there's nothing you can really do 2178 01:41:18,492 --> 01:41:20,492 Speaker 4: at that point. I think you can pump the brakes 2179 01:41:20,532 --> 01:41:22,492 Speaker 4: to try and get it the stop, but that is 2180 01:41:23,253 --> 01:41:28,892 Speaker 4: very old technology, whereas Tesla were in that situation years ago. 2181 01:41:29,133 --> 01:41:31,173 Speaker 4: So now they've really perfected a lot of the stuff. 2182 01:41:31,293 --> 01:41:32,732 Speaker 3: So this text has hitspad. 2183 01:41:32,772 --> 01:41:35,653 Speaker 2: I've just sent you a link with fifty nine confirmed fatalities, 2184 01:41:35,692 --> 01:41:37,293 Speaker 2: and I've just been reading this other thing that says 2185 01:41:37,293 --> 01:41:39,333 Speaker 2: at the fifty nine at disputed, But anyway, whether it's 2186 01:41:39,372 --> 01:41:43,852 Speaker 2: seventeen somewhere between seventeen and fifty nine one is a tragedy, right. 2187 01:41:43,853 --> 01:41:45,652 Speaker 4: Yeah, yeah, yeah, nicely said, right. 2188 01:41:45,732 --> 01:41:45,812 Speaker 14: Oh. 2189 01:41:45,893 --> 01:41:48,293 Speaker 4: Eight hundred eighty ten eighty is the number to call. 2190 01:41:48,452 --> 01:41:51,612 Speaker 4: We got to play some messages. But when we come back, 2191 01:41:52,013 --> 01:41:54,492 Speaker 4: Chris has rung from Australia and he'd far prefer a 2192 01:41:54,572 --> 01:41:56,772 Speaker 4: human behind the wheel. We'll find out why next twenty to. 2193 01:41:56,812 --> 01:42:00,932 Speaker 1: Four, a fresh take on took Back. It's Matt Heathen 2194 01:42:01,053 --> 01:42:04,812 Speaker 1: Taylor Adams. Afternoons. Have your say on eight hundred eighty 2195 01:42:04,933 --> 01:42:06,012 Speaker 1: ten eighty US Talks. 2196 01:42:06,013 --> 01:42:07,852 Speaker 4: They'd be for a good afternoon to you. We're talking 2197 01:42:07,853 --> 01:42:10,452 Speaker 4: about south driving technology. It is coming to New Zealand. 2198 01:42:10,492 --> 01:42:12,933 Speaker 4: Tesla has announced that it has coming here, just not 2199 01:42:12,933 --> 01:42:14,452 Speaker 4: on exact date. How do you feel about that? 2200 01:42:14,692 --> 01:42:16,612 Speaker 2: Well, someone saying, why are you talking about Tesla so 2201 01:42:16,732 --> 01:42:18,892 Speaker 2: much on this issue? There's a lot of other players 2202 01:42:19,093 --> 01:42:21,213 Speaker 2: in the market. Has Elon Musk got a taser to 2203 01:42:21,253 --> 01:42:24,293 Speaker 2: the back of your head? The answer is because the 2204 01:42:24,333 --> 01:42:26,812 Speaker 2: news article is Tesla is bringing it to New Zealand. Yeah, 2205 01:42:26,893 --> 01:42:29,772 Speaker 2: and WEIMO is a long way away and they're different things. 2206 01:42:30,173 --> 01:42:33,532 Speaker 2: So what we're saying is Tesla is bringing this this 2207 01:42:34,013 --> 01:42:38,132 Speaker 2: second tier level two driver assistance technology in New Zealand 2208 01:42:38,173 --> 01:42:41,452 Speaker 2: for eleven four hundred dollars if you're interested, yep, which 2209 01:42:42,732 --> 01:42:46,213 Speaker 2: has you know, we can accelerate your caster you can't 2210 01:42:46,253 --> 01:42:50,293 Speaker 2: never get through traffic and et cetera. But with what 2211 01:42:50,412 --> 01:42:52,372 Speaker 2: we're really saying is that how long is it tool? 2212 01:42:52,412 --> 01:42:55,892 Speaker 2: We have those waymost style self driving taxis that they 2213 01:42:55,933 --> 01:42:58,052 Speaker 2: have in so many places in the United States of America. 2214 01:42:58,173 --> 01:43:00,013 Speaker 4: Yeah, And as you say, we're mentioning Tesla because the 2215 01:43:00,013 --> 01:43:01,333 Speaker 4: Ore the first cab off the rank, the Ore the 2216 01:43:01,412 --> 01:43:03,412 Speaker 4: first one to mention this technology is coming to New 2217 01:43:03,492 --> 01:43:05,812 Speaker 4: Zealand and Australia for that matter, and that is a 2218 01:43:05,812 --> 01:43:06,213 Speaker 4: big move. 2219 01:43:06,372 --> 01:43:09,492 Speaker 2: So it can categorically tell you right now Elon Musk 2220 01:43:09,572 --> 01:43:12,333 Speaker 2: isn't in the studio with a taser to either our heads, 2221 01:43:12,532 --> 01:43:14,893 Speaker 2: no making us talk about Tesla specifically. 2222 01:43:15,053 --> 01:43:16,852 Speaker 4: Yeah, we can say that he does love the show that. 2223 01:43:17,772 --> 01:43:20,572 Speaker 3: They're not the only one with this kind of technology. Yeah, obviously. 2224 01:43:20,732 --> 01:43:22,692 Speaker 4: Oh one hundred and eighty ten eighty is the number 2225 01:43:22,732 --> 01:43:24,412 Speaker 4: to call Love to hear your thoughts. Are you're excited 2226 01:43:24,412 --> 01:43:27,692 Speaker 4: about self driving or not? Chris, how are you. 2227 01:43:29,532 --> 01:43:34,532 Speaker 20: Afternoon, gentlemen. Hey, I'm personally all about the cars being 2228 01:43:34,612 --> 01:43:39,412 Speaker 20: held by humans on the road. For me, personally, I 2229 01:43:39,492 --> 01:43:43,053 Speaker 20: don't trust the digital cars being able to react as 2230 01:43:43,133 --> 01:43:46,213 Speaker 20: quick as me. If someone just cut in front of me, 2231 01:43:46,492 --> 01:43:47,253 Speaker 20: or someone. 2232 01:43:47,173 --> 01:43:50,212 Speaker 13: Was a whole I need to be able to react 2233 01:43:50,253 --> 01:43:50,372 Speaker 13: to that. 2234 01:43:50,492 --> 01:43:52,213 Speaker 20: And if I was in the back seat or in 2235 01:43:52,253 --> 01:43:56,852 Speaker 20: the passenger seat with no console being able to remove 2236 01:43:56,933 --> 01:44:03,452 Speaker 20: myself from a situation, I'd make myself sort of you know, 2237 01:44:04,853 --> 01:44:07,213 Speaker 20: a little bit of a problem here. Now, I've just 2238 01:44:07,293 --> 01:44:10,572 Speaker 20: got to deal with it self. Control for me is 2239 01:44:10,652 --> 01:44:14,213 Speaker 20: absolutely number one on the road. But something that I 2240 01:44:14,253 --> 01:44:19,852 Speaker 20: would sign up to would be drones. A drone taxi 2241 01:44:20,013 --> 01:44:23,492 Speaker 20: that can land itself close to my house and then 2242 01:44:23,532 --> 01:44:26,452 Speaker 20: drop me off somewhere close to work. And then they 2243 01:44:27,333 --> 01:44:30,972 Speaker 20: have a digital system where if they've got two drones 2244 01:44:31,013 --> 01:44:34,653 Speaker 20: going in the same way, one will rise up higher. 2245 01:44:34,532 --> 01:44:37,492 Speaker 3: And the other one will go You're like the three 2246 01:44:37,572 --> 01:44:38,293 Speaker 3: D environment of. 2247 01:44:38,333 --> 01:44:42,452 Speaker 20: It, right, yes, and and and and do you like 2248 01:44:43,452 --> 01:44:49,093 Speaker 20: segueing from the the you know these digital vehicles to 2249 01:44:49,333 --> 01:44:53,213 Speaker 20: drones is there's there would be a computer system in 2250 01:44:53,853 --> 01:44:59,333 Speaker 20: touch with that and that is really a capable system 2251 01:45:00,173 --> 01:45:01,692 Speaker 20: and that would take you off the road. 2252 01:45:02,333 --> 01:45:06,132 Speaker 2: So would you be would you be okay with because 2253 01:45:06,293 --> 01:45:08,412 Speaker 2: you know, what's the huge difference between a drone that 2254 01:45:08,492 --> 01:45:12,452 Speaker 2: can carry a person and a self piloting helicopter. I mean, 2255 01:45:12,452 --> 01:45:14,333 Speaker 2: would you be okay with the self piloting helicopter? 2256 01:45:15,732 --> 01:45:20,892 Speaker 20: Well, absolutely, because the digital information about where I've got 2257 01:45:20,933 --> 01:45:25,692 Speaker 20: to go to will then lap with someone else flying 2258 01:45:25,732 --> 01:45:29,692 Speaker 20: from somewhere else, and they would make adjustments to not collide. 2259 01:45:29,772 --> 01:45:30,213 Speaker 16: In the year. 2260 01:45:30,973 --> 01:45:33,253 Speaker 4: Yeah, I mean it point would be very cool like 2261 01:45:33,333 --> 01:45:35,492 Speaker 4: the jitsuns. But I've got to say that would terrify 2262 01:45:35,612 --> 01:45:38,972 Speaker 4: me far more than self driving car, self driving drone 2263 01:45:39,053 --> 01:45:39,932 Speaker 4: if it all goes wrong. 2264 01:45:40,253 --> 01:45:41,892 Speaker 3: Yeah later, I mean, yeah, if you. 2265 01:45:43,492 --> 01:45:45,812 Speaker 2: Your plummet, if there is an issue, because you know, 2266 01:45:46,452 --> 01:45:48,372 Speaker 2: if you if your self driving taxi gets a little 2267 01:45:48,412 --> 01:45:50,812 Speaker 2: bit wrong, they're driving the speed limit. More than likely 2268 01:45:50,812 --> 01:45:51,932 Speaker 2: you just can have a bit of a dingle. 2269 01:45:52,013 --> 01:45:52,213 Speaker 1: Yeah. 2270 01:45:53,293 --> 01:45:56,812 Speaker 2: Yeah, but if you start dropping from the sky. But 2271 01:45:57,013 --> 01:46:00,093 Speaker 2: you know the problem with drones that are powerful enough 2272 01:46:00,173 --> 01:46:02,572 Speaker 2: to pick up humans use a lot. 2273 01:46:02,492 --> 01:46:05,133 Speaker 3: Of battery power, Yeah, a lot. It takes a lot 2274 01:46:05,173 --> 01:46:07,052 Speaker 3: of grunt. It's a lot of a lot of grunt. 2275 01:46:07,173 --> 01:46:07,372 Speaker 6: Yeah. 2276 01:46:08,372 --> 01:46:10,972 Speaker 4: Hundred eighty ten eighty is the number to call there's 2277 01:46:11,013 --> 01:46:13,932 Speaker 4: quite a few teas coming through, but least go tossignment Hi. 2278 01:46:14,173 --> 01:46:15,972 Speaker 16: There he goes down very well. 2279 01:46:16,253 --> 01:46:17,412 Speaker 4: You love the idea. 2280 01:46:18,372 --> 01:46:21,372 Speaker 16: I like the idea. Yeah. I watched this really interesting 2281 01:46:21,492 --> 01:46:24,372 Speaker 16: video from I think the channel was called very Tassium 2282 01:46:24,492 --> 01:46:27,893 Speaker 16: on YouTube and they talked about how using five D 2283 01:46:28,213 --> 01:46:30,772 Speaker 16: for the cards to be able to communicate between each 2284 01:46:30,812 --> 01:46:33,092 Speaker 16: other is actually going to be ideal for traffic flows 2285 01:46:33,133 --> 01:46:38,093 Speaker 16: and also safety because they're constantly pinging messages and they're 2286 01:46:38,173 --> 01:46:40,612 Speaker 16: aware of each other and aware of traffic signals and 2287 01:46:40,692 --> 01:46:44,732 Speaker 16: all sorts of things. So it does you're also expecting 2288 01:46:44,772 --> 01:46:49,532 Speaker 16: the traffic to also be entirely on that platform too. 2289 01:46:49,853 --> 01:46:52,692 Speaker 16: And when you think about it too, if you lined 2290 01:46:52,732 --> 01:46:55,293 Speaker 16: up in a traffic light, crrent the front is looking 2291 01:46:55,333 --> 01:46:58,013 Speaker 16: at the lights the current, second and fourth, fifth, then 2292 01:46:58,053 --> 01:47:01,213 Speaker 16: looking at the lights of the current. Yeah, And that's 2293 01:47:01,253 --> 01:47:04,133 Speaker 16: what slows down the traffic ultimately, is people reacting to 2294 01:47:04,372 --> 01:47:07,852 Speaker 16: completely different people with different reaction times. 2295 01:47:08,412 --> 01:47:10,253 Speaker 2: Not reacting at all because they've jumped on their phone 2296 01:47:10,293 --> 01:47:13,452 Speaker 2: and they haven't even noticed its exactly. 2297 01:47:13,692 --> 01:47:16,852 Speaker 16: And that's and that's the entire thing around the safety 2298 01:47:16,893 --> 01:47:20,173 Speaker 16: thing as well, is that the from everything that I've 2299 01:47:20,213 --> 01:47:24,053 Speaker 16: heard about about self driving technology is that it's the 2300 01:47:24,253 --> 01:47:27,652 Speaker 16: accidents of course, because the cars are too safe. So 2301 01:47:27,732 --> 01:47:31,052 Speaker 16: if you think of the technology as like the code 2302 01:47:31,692 --> 01:47:35,452 Speaker 16: in the simplest terms, is there if their logic based statements, 2303 01:47:35,532 --> 01:47:38,973 Speaker 16: So if you do this, then do this, and so 2304 01:47:39,492 --> 01:47:43,732 Speaker 16: it can't react fast enough to unpredictable driving that a 2305 01:47:43,853 --> 01:47:47,772 Speaker 16: human might do, whereas if it's if it's a smart car, 2306 01:47:47,853 --> 01:47:50,612 Speaker 16: the smart car, for example, then they can kind of 2307 01:47:50,652 --> 01:47:52,893 Speaker 16: predict off each other what they're going to do and 2308 01:47:52,973 --> 01:47:56,372 Speaker 16: where they're going to be. So that's that's the cause 2309 01:47:56,412 --> 01:47:57,972 Speaker 16: of those accidents. Is the human error? 2310 01:47:58,293 --> 01:47:59,532 Speaker 1: Yeah, right in the first place. 2311 01:47:59,692 --> 01:48:04,372 Speaker 2: Yeah, you're saying, I've seen these demonstrations, these models of cities. 2312 01:48:04,452 --> 01:48:07,253 Speaker 2: If every single car was as you say, self driving 2313 01:48:07,492 --> 01:48:10,213 Speaker 2: and communicating with each other, and there's basically no traffic 2314 01:48:10,333 --> 01:48:13,293 Speaker 2: because they can go through intersections and time going through 2315 01:48:13,293 --> 01:48:14,932 Speaker 2: the intersections, so you would never even have to stop 2316 01:48:14,973 --> 01:48:17,972 Speaker 2: at red lights. They just can't exact as you say, 2317 01:48:18,013 --> 01:48:20,772 Speaker 2: all that and for an efficiency, so you could have 2318 01:48:20,853 --> 01:48:22,532 Speaker 2: everyone traveling. I mean, I know they tried to do 2319 01:48:22,612 --> 01:48:25,932 Speaker 2: in Auckland insanity a lower the speed to thirty kilometers now, 2320 01:48:25,973 --> 01:48:29,133 Speaker 2: but you everyone could just be driving at the same speed. 2321 01:48:29,253 --> 01:48:30,973 Speaker 3: The whole way there, and. 2322 01:48:32,452 --> 01:48:34,852 Speaker 2: You know, the lights and everything is just all sync 2323 01:48:34,933 --> 01:48:38,293 Speaker 2: together and it will beautiful. But as you say, as 2324 01:48:38,333 --> 01:48:40,452 Speaker 2: you seem to get a human buzzing around in the air, 2325 01:48:41,053 --> 01:48:42,532 Speaker 2: it all makes things very difficult. 2326 01:48:43,492 --> 01:48:45,652 Speaker 16: Yeah, I mean the ultimate test is also going to 2327 01:48:45,692 --> 01:48:47,852 Speaker 16: be well for me in particular because it's one of 2328 01:48:47,893 --> 01:48:51,812 Speaker 16: my pet peeves, doesn't know how to indicate a roundabout. 2329 01:48:52,532 --> 01:48:54,772 Speaker 16: I really really want to know if it knows how 2330 01:48:54,812 --> 01:48:56,532 Speaker 16: to do that, and it's perfect technology. 2331 01:48:57,772 --> 01:48:59,572 Speaker 2: Yeah, And that's right because because a lot of this 2332 01:48:59,652 --> 01:49:01,852 Speaker 2: has been developed out of Silicon Valley in America is 2333 01:49:02,133 --> 01:49:06,853 Speaker 2: famously reticent to roundabout, so they might great round technology. 2334 01:49:07,133 --> 01:49:09,852 Speaker 2: There are interesting things those simons in terms of, you know, 2335 01:49:10,093 --> 01:49:14,932 Speaker 2: like the moral decisions that you know, self driving cars 2336 01:49:14,973 --> 01:49:17,133 Speaker 2: have to make. Like everyone you know talks about the 2337 01:49:17,213 --> 01:49:20,213 Speaker 2: trolley problem and whether you make a decision whether if 2338 01:49:20,253 --> 01:49:22,372 Speaker 2: you're going to if there's options of if you're going 2339 01:49:22,412 --> 01:49:25,333 Speaker 2: to run people down, and there's two options, do you 2340 01:49:25,452 --> 01:49:28,572 Speaker 2: pick the younger people the older people. There's lots lots 2341 01:49:28,612 --> 01:49:31,213 Speaker 2: of decisions that humans might make morally that we don't 2342 01:49:31,253 --> 01:49:33,293 Speaker 2: necessarily want a program into a car to make. 2343 01:49:33,772 --> 01:49:36,333 Speaker 3: But you know, the message cases. 2344 01:49:37,253 --> 01:49:40,333 Speaker 16: Yeah, to the AI side of things and think of 2345 01:49:40,452 --> 01:49:43,532 Speaker 16: it logically, or it's going to act in a way 2346 01:49:43,572 --> 01:49:46,612 Speaker 16: that it's been coded by a human. Yeah, so if 2347 01:49:46,652 --> 01:49:48,772 Speaker 16: it's able to learn learn how to do it, then 2348 01:49:48,812 --> 01:49:51,572 Speaker 16: it might be able to make that, Yeah, that decision 2349 01:49:51,692 --> 01:49:54,053 Speaker 16: like a human world. Or if it's like if this, 2350 01:49:54,412 --> 01:49:57,092 Speaker 16: then do this, then that's the answers to the trolley 2351 01:49:57,133 --> 01:49:59,812 Speaker 16: problem is as a coded response. 2352 01:50:00,333 --> 01:50:03,172 Speaker 2: Yeah, yeah, so the trolley problem being the moral dilemma 2353 01:50:03,253 --> 01:50:06,293 Speaker 2: where you must choose between two harmful outcomes, letting a 2354 01:50:06,333 --> 01:50:08,133 Speaker 2: trolley kill five people or diverting it. 2355 01:50:08,133 --> 01:50:09,333 Speaker 3: To one person instead. 2356 01:50:09,973 --> 01:50:11,732 Speaker 2: So the idea is that either it's just going to 2357 01:50:11,772 --> 01:50:13,852 Speaker 2: do it or you make a decision to bear ver off. 2358 01:50:14,013 --> 01:50:16,053 Speaker 2: So if you have to put that into a car 2359 01:50:16,133 --> 01:50:17,772 Speaker 2: self driving car, you go, okay, well, if you're going 2360 01:50:17,853 --> 01:50:21,612 Speaker 2: to crash into five people, but there's an option where 2361 01:50:21,612 --> 01:50:22,293 Speaker 2: you just crash. 2362 01:50:22,093 --> 01:50:25,333 Speaker 3: Into one, then you know which one do you take. Yeah, 2363 01:50:25,333 --> 01:50:25,932 Speaker 3: it's a hard thing. 2364 01:50:25,893 --> 01:50:29,572 Speaker 4: To break your ethics of robotics. Yeah, it's a big one. Simon, 2365 01:50:29,652 --> 01:50:35,012 Speaker 4: great Caul, thank you very much. A couple of texts here, guys, 2366 01:50:35,452 --> 01:50:37,812 Speaker 4: I love the idea of the self driving car. I 2367 01:50:38,013 --> 01:50:41,532 Speaker 4: can drive pisce to the pub and I can get 2368 01:50:41,612 --> 01:50:44,932 Speaker 4: the car ride home drunk as well. That would work 2369 01:50:44,973 --> 01:50:45,572 Speaker 4: for my lifestyle. 2370 01:50:45,893 --> 01:50:48,532 Speaker 3: The interesting thing is that's not going to change the alcohol. 2371 01:50:48,652 --> 01:50:50,053 Speaker 3: So if you drive pissed from the pub, they're not 2372 01:50:50,053 --> 01:50:50,932 Speaker 3: going to let you into the pub. 2373 01:50:51,293 --> 01:50:51,492 Speaker 7: Yeah. 2374 01:50:51,572 --> 01:50:51,772 Speaker 16: Yeah. 2375 01:50:51,853 --> 01:50:53,173 Speaker 4: The idea is you're not driving. 2376 01:50:53,333 --> 01:50:55,093 Speaker 2: Yeah, yeah, yeah, it's kind of I can kind of 2377 01:50:55,093 --> 01:50:57,293 Speaker 2: see it like in sort of a Vietnam situation when 2378 01:50:57,333 --> 01:50:59,572 Speaker 2: you call in a pick up, you know, like an 2379 01:50:59,612 --> 01:51:02,133 Speaker 2: evac helicopter, but it's your driver's this car. 2380 01:51:02,492 --> 01:51:03,973 Speaker 3: You just press the button and your car comes and 2381 01:51:04,013 --> 01:51:04,253 Speaker 3: gets you. 2382 01:51:04,372 --> 01:51:04,572 Speaker 5: Yeah. 2383 01:51:04,572 --> 01:51:04,893 Speaker 6: I love that. 2384 01:51:05,133 --> 01:51:05,333 Speaker 3: Yeah. 2385 01:51:05,893 --> 01:51:06,013 Speaker 7: Right. 2386 01:51:06,173 --> 01:51:09,293 Speaker 4: It is eight minutes to four back very shortly. You 2387 01:51:09,372 --> 01:51:11,492 Speaker 4: listening to Matt and Tyler. Hope you having a great afternoon. 2388 01:51:13,133 --> 01:51:16,492 Speaker 1: The big stories, the big issues, the big trends and 2389 01:51:16,853 --> 01:51:21,253 Speaker 1: everything in between. Matt Heath and Tyler Adams Afternoons used talks. 2390 01:51:20,973 --> 01:51:24,293 Speaker 3: That be news talks there b it is five to 2391 01:51:24,572 --> 01:51:28,932 Speaker 3: four self driving cars great for useless drivers. 2392 01:51:28,933 --> 01:51:30,892 Speaker 2: I'll encourage my mother in law to get one, make 2393 01:51:31,013 --> 01:51:34,973 Speaker 2: us all safest. Is any ask any tractor driver or 2394 01:51:35,053 --> 01:51:38,772 Speaker 2: farmer now using GPS auto stair for seeding or plowing. 2395 01:51:38,853 --> 01:51:40,892 Speaker 2: I don't think any of them would ever go back. 2396 01:51:41,013 --> 01:51:43,972 Speaker 2: Commutera is just better at driving and more accurate. 2397 01:51:44,133 --> 01:51:46,372 Speaker 4: Yeah, great text, and this one. The self driving car 2398 01:51:46,452 --> 01:51:49,093 Speaker 4: will err on the far side of caution. It will 2399 01:51:49,133 --> 01:51:52,812 Speaker 4: accelerate like it's identical twin the platypus to gain itself 2400 01:51:52,853 --> 01:51:55,892 Speaker 4: greater range reputation, and will merge like a broken zip 2401 01:51:56,013 --> 01:52:01,012 Speaker 4: bugger caution, get your foot into it, okay. 2402 01:52:01,093 --> 01:52:02,412 Speaker 2: And some people saying that you'll never be able to 2403 01:52:02,492 --> 01:52:06,932 Speaker 2: drink drive in a driverless car. But I'm thinking if 2404 01:52:06,973 --> 01:52:10,253 Speaker 2: they legislate that a car can drive by itself, then 2405 01:52:10,612 --> 01:52:14,053 Speaker 2: what doesn't matter if it's driving with an unconscious drunk 2406 01:52:14,093 --> 01:52:16,253 Speaker 2: person on the back. If they decide that they're safe 2407 01:52:16,333 --> 01:52:18,333 Speaker 2: enough to drive on their own, then surely it's safe 2408 01:52:18,412 --> 01:52:21,013 Speaker 2: enough to drive with a drunk person in that. But 2409 01:52:21,053 --> 01:52:23,532 Speaker 2: it's interesting how most people that are texting you and 2410 01:52:23,572 --> 01:52:25,652 Speaker 2: want to use it for that purpose. Anyway, Thank you 2411 01:52:25,692 --> 01:52:27,253 Speaker 2: so much for listening to the show. Thank you for 2412 01:52:27,492 --> 01:52:29,652 Speaker 2: your calls and text We've had a great time. The 2413 01:52:29,732 --> 01:52:32,213 Speaker 2: Matt and Tyler Full Show podcast. We'll be out wherever 2414 01:52:32,213 --> 01:52:34,893 Speaker 2: you get your podcasts very soon. The Powerful Hea the 2415 01:52:34,973 --> 01:52:36,333 Speaker 2: Duplicy Ellen is up next. 2416 01:52:36,412 --> 01:52:39,452 Speaker 4: But Tyler, my good friend, tell me why I'm playing 2417 01:52:39,492 --> 01:52:41,892 Speaker 4: the song now, I have actually no idea. I love 2418 01:52:41,973 --> 01:52:43,692 Speaker 4: the song chumber one, but tub thumping. 2419 01:52:44,213 --> 01:52:48,492 Speaker 3: Well, the song's all about getting wasted, and a concrete 2420 01:52:48,572 --> 01:52:50,532 Speaker 3: layer said, you can't find anyone to work in his 2421 01:52:50,652 --> 01:52:53,932 Speaker 3: company because all the young workers are too wasted all 2422 01:52:53,933 --> 01:52:54,812 Speaker 3: the time to do the job. 2423 01:52:54,973 --> 01:53:00,173 Speaker 4: Great choice, great show, Love it all right, have. 2424 01:53:00,253 --> 01:53:03,812 Speaker 3: A great reci your afternoon till tomorrow. Give him a 2425 01:53:03,853 --> 01:53:05,452 Speaker 3: taste of keying from Rsie. 2426 01:53:19,133 --> 01:53:24,492 Speaker 1: Matt and Tyler. For more from us Talk set B 2427 01:53:24,812 --> 01:53:28,012 Speaker 1: listen live on air or online, and keep our shows 2428 01:53:28,093 --> 01:53:31,372 Speaker 1: with you wherever you go with our podcasts on iHeartRadio