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Speaker 1: You're listening to a podcast from News Talk zed B.

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Speaker 1: Follow this and our wide range of podcasts now on iHeartRadio.

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Speaker 2: Hell You.

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Speaker 3: Great new Seeland is Samanon Tyler Full Show Podcast number

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Speaker 3: two ninety seven for the twenty seventh of February and

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Speaker 3: the year of Ello twenty twenty six. Great show, Great

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Speaker 3: Friday show. It's actually a really really good show. A

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Speaker 3: lot on it by the time we talked to Sam

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Speaker 3: Viai at the end. Stick around for that. A chat

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Speaker 3: with the sios ceo making submarine drones, land drones and

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Speaker 3: sky Jones and there's really some really interesting chat about

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Speaker 3: the new tech that's coming through in Ukraine, including scissor drones.

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Speaker 4: Incredible guy. And I got to say a bit of

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Speaker 4: a scoop from Mark Mitchell when we had a chat

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Speaker 4: to him a little bit later on the show, So

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Speaker 4: listen out for that.

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Speaker 3: Turns out he got an apology from one News.

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Speaker 4: Yeah. How good. So download, subscribe and give us.

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Speaker 3: A review, Give a taste to hear you all right,

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Speaker 3: you seem busy love you.

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Speaker 1: Love big stories, the leak issues, the big trends and

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Speaker 1: everything in between. And it's Matty Tanner Adams Afternoon SQUI

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Speaker 1: shod news Talk.

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Speaker 4: Said afternoon to you. Welcome in Friday show. Always feel

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Speaker 4: pretty good on a Friday. I hope you're doing well.

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Speaker 4: We're eb you're listening, nice of your company as always,

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Speaker 4: so you met.

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Speaker 3: Hello Tyler, Hello, everyone, thank you so much for tuning in.

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Speaker 5: Now.

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Speaker 3: I just want to use the vast z'db audience to

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Speaker 3: try and make up for a schnephoo that I had today. Okay,

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Speaker 3: just on the off chance that there is this a

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Speaker 3: person that I I wronged.

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Speaker 4: Okay, all right, this sounds intriguing.

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Speaker 3: So I was running around a park at pace. Yeah,

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Speaker 3: and you know, I'm a big fan of saying hello

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Speaker 3: to everyone. You are, just I just think it's the

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Speaker 3: least we can do as citizens to say a friendly

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Speaker 3: hello to people that we see out and about.

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Speaker 4: You love a good morning.

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Speaker 3: You know, you never know what kind of day that

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Speaker 3: person's going through, and maybe just a friendly stranger saying

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Speaker 3: good morning to them might just be enough to lighten

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Speaker 3: their mood.

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Speaker 6: You know.

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Speaker 3: Yep, I'm a big fan of that. You are now

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Speaker 3: when you're running, like sometimes when I say lo, I

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Speaker 3: hold my hand up like this, like people can't see it.

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Speaker 3: I held my hand up just do a little wave.

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Speaker 4: It's a little wow.

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Speaker 3: Yeah. And so I was running towards the sky and

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Speaker 3: I held my hand up to do this little wave.

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Speaker 3: And then I didn't realize what was going on, but

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Speaker 3: he held his hand up, and he thought there was

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Speaker 3: a high five about to go down.

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Speaker 4: Nice, good honor. I like the cut of the sky's

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Speaker 4: jib already, so please tell me you followed through.

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Speaker 3: No, what happened was I pulled my hand down, Oh, matt,

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Speaker 3: and because I didn't even know that a high five

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Speaker 3: was on the cards here, Oh no. And then he

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Speaker 3: had been Now the person I was trying to say

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Speaker 3: a nice hello to had now been rejected on a

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Speaker 3: high five. Oh mate. And to him it would have

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Speaker 3: seemed like I'd played one of those practical jokes on people,

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Speaker 3: you know, when you go to yeah, well you go

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Speaker 3: to shake hands and move your hand away.

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Speaker 4: Yeah.

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Speaker 3: And so I was just thinking as I was running on,

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Speaker 3: I was thinking, I wonder if I ruined that guy's day.

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Speaker 4: He thought, thinking about it, sitting wherever he's sitting up,

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Speaker 4: He's in an office or in a truck, and he'd

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Speaker 4: be thinking.

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Speaker 3: Man, some random guy just decided to try and millimate, humiliate,

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Speaker 3: me on my run. He's run around the park.

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Speaker 4: He's got to be stewing on there all weekends. All right, okay,

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Speaker 4: very good, Next time, mate, just follow through, Just be

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Speaker 4: more nimble. Give the them me an high five.

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Speaker 3: Yeah, I know. If I could go back, I don't

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Speaker 3: know why I pulled out. If I could go back,

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Speaker 3: if I if I found a time machine right now,

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Speaker 3: I'd go back in time and I would high five

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Speaker 3: that guy. He deserved it.

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Speaker 4: Yeah, if you're listening, mate, who missed out on the

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Speaker 4: high five? Matt wanted to Yeah, right, I wanted it badly.

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Speaker 4: On to today's show after three o'clock.

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Speaker 3: I want that high five more than anything in the world.

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Speaker 4: I beat you do, mate, right after three o'clock. Because

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Speaker 4: it is a Friday. At the moment, the nation waits

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Speaker 4: for new Zealander of the week. Who will it be?

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Speaker 3: Yeah, there's a lot of good candidates this week. But

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Speaker 3: you know, I've got a suggestion. Fire it through on

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Speaker 3: nine two nine two. That'll be on at about.

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Speaker 4: Three thirty ish.

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Speaker 3: Okay, so we've got plenty of time to decide.

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Speaker 4: Yep, yep, got a few hours before then, looking forward

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Speaker 4: to that after three thirty, after two o'clock. The plant

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Speaker 4: based fake meat sector, once a darling of investors, is

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Speaker 4: now facing serious headwinds. So it's a piece in the

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Speaker 4: Economist and it sees the pace of the business and

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Speaker 4: growth of the market for our plant based meat substitutes

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Speaker 4: has slowed massively and some of the early enthusiasm around

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Speaker 4: big players like Beyond Meat has faded. So Beyond Meat

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Speaker 4: and Impossible Burghers where some of the big guys. So

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Speaker 4: just looking at Beyond Meat. When it first floated on

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Speaker 4: the stock market, it was worth four billion dollars. Now

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Speaker 4: it is worth four hundred million dollars, so that is

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Speaker 4: ninety percent of its value that has been slashed on

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Speaker 4: that company.

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Speaker 3: That's cause fake meat is sold with this kind of

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Speaker 3: vibe of being clean, like some kind of healthy planet

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Speaker 3: saving revolution. But it's just ultra processed slurry. It's engineered

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Speaker 3: in a lab. It's packed worth additives just to mimic

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Speaker 3: something that's very pure and clean. The human beings have

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Speaker 3: been eating for the longest time, yep, for millennia, more

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Speaker 3: than millennia. For a very long time, we've been eating meat.

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Speaker 3: What's wrong with it? If the ingredients list reads like

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Speaker 3: I don't know a chemistry exam. It's just industrial wizardry

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Speaker 3: and that's fine, but just don't call it meat. Just

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Speaker 3: say this is some kind of sick Frankensteinian experiment and

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Speaker 3: if you want to eat it, that's your problem.

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Speaker 4: It's hard for the marketing guys to do anything with that.

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Speaker 3: But just don't pretend it's meat, and don't pretend it's

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Speaker 3: good for the planet, and don't pretend it's good for

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Speaker 3: the human.

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Speaker 4: Do you agree? Looking forward to that discussion after two o'clock,

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Speaker 4: But right now, let's have a chat about crime in

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Speaker 4: New Zealand. So the government says it's tough on crime

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Speaker 4: policies are showing great results. After the latest New Zealand

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Speaker 4: Crime a victims survey, it reported there were forty nine

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Speaker 4: thousand fewer victims of violent crime in the year to

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Speaker 4: October twenty twenty five. That compares to two years earlier.

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Speaker 4: Justice Minister Paul Goldsmith he credited the drop two measures

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Speaker 4: such as longer sentences for serious offenders, increased police tools

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Speaker 4: to tackle gangs, and more cops on the beats. Prime

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Speaker 4: Minister Christopher luxe And meanwhile said the figure suggests the

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Speaker 4: government's law and ord approaches working, though we stressed there

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Speaker 4: is more to do, and Children's Minister Karen Shaw added

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Speaker 4: that serious repeat youth offending has fallen by twenty two percent,

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Speaker 4: ahead of the government's targets after incidents like ram raids

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Speaker 4: are down sharply well.

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Speaker 3: Naysayers say, NASA say. Naysayers say that just crimes just

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Speaker 3: falling naturally of its own volition. Yes, that the COVID

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Speaker 3: lockups and the damage done by their response to COVID

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Speaker 3: unleashed a bunch of anger and criminals into the world,

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Speaker 3: and people being locked into in houses with people caused

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Speaker 3: all kinds of problems and the stress around with COVID

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Speaker 3: just blew up into every second child driving a Masdadamio

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Speaker 3: through the front of a dairy or a Michael Hill Julia. Yes,

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Speaker 3: But others would say that this government came in and

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Speaker 3: said they wanted to be tough on crime. They wanted

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Speaker 3: to sort it out and put in place a bunch

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Speaker 3: of initiatives to try and crack down in crime, you know,

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Speaker 3: the Gang Act, the Crime's Amendment Bill, the new stalking legislation.

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Speaker 3: They've they've done some work in cyber crime as well,

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Speaker 3: and more cops on the beat, gang patch bands, yes,

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Speaker 3: So what do you think it is? Does the government?

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Speaker 3: Can the government take credit for this fallen crime?

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Speaker 6: Oh?

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Speaker 4: One hundred and eighty ten eighty is that number to call?

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Speaker 4: Nine two ninety two, Just to some of their criticism

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Speaker 4: of the government, that there was a spike in crime

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Speaker 4: and COVID and it's naturally going down. Does crime really

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Speaker 4: naturally go down? And you know, and doesn't matter how

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Speaker 4: it is going down? I mean that the figures are

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Speaker 4: right there that it's got there's forty nine thousand fewer

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Speaker 4: victims of violent crime. So even and I'm not going

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Speaker 4: to name names. Oh, actually we can because we played

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Speaker 4: some wady a little bit later Willie Jackson saying that

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Speaker 4: it's there was a big spike in COVID because it

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Speaker 4: was crazy times and everybody lost their minds. But does

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Speaker 4: it really matter how it's going down if it has

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Speaker 4: been achieved, and it has been achieved, this government has

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Speaker 4: been empowered during that drop.

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Speaker 3: Well, Willie Jackson's argument against it was everyone knows those

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Speaker 3: crimes going up. There's some everyone knows we'll get the

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Speaker 3: exact wording, but basically everyone knows that people are taking

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Speaker 3: more drugs than they used to. Was basically his argument

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Speaker 3: and also the other pushback on this is saying that

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Speaker 3: the Ministry of Justice Stats can't be trusted. The New

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Speaker 3: Zealand Crime and Victims Survey, the z CVS is just

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Speaker 3: not a trustworthy stat But if you can't trust the

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Speaker 3: Ministry of Justice stats, then where are we going to

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Speaker 3: get our stats from?

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Speaker 4: Exactly that's the only reliable place in many people's eyes.

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Speaker 4: What do you say, O eight hundred and eighty ten

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Speaker 4: eighty so violent crime is down. Does that mean the

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Speaker 4: government's tough on crime approach is working? Or do you

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Speaker 4: think there is more to this reduction than just the

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Speaker 4: tough on crime approach? Love to get your views and.

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Speaker 3: If I left you hanging on a high five in

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Speaker 3: a Mount Eaton park today, Sorry.

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Speaker 4: That's the important stuff. Forty bast one bag aru shortly, the.

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Speaker 1: Big stories, the big issues, the big trends and everything

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Speaker 1: in between. Matt Heath and Tayler afternoons, excuse talks, they'd.

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Speaker 4: Be afternoon to you. So we're talking about the government's

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Speaker 4: tough on crime policies. It appears to be working. According

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Speaker 4: to the latest survey shows forty nine thousand fewer victims

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Speaker 4: of violent crime in the year October twenty twenty five.

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Speaker 4: That compares to two years ago. So is that tough

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Speaker 4: on crime approach working or is there more to it?

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Speaker 4: I had one hundred and eighty ten eighty. Is that

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Speaker 4: number to call get a see.

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Speaker 7: On a Yeah, hello.

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Speaker 4: Hey, nice to chat with you. So keen on your view.

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Speaker 7: Yeah, maybe it is, it's not. It's not going down

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Speaker 7: like this. They steal them. To go and check the prison.

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Speaker 7: We are yelling and screaming for our staff because there's

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Speaker 7: so many of them come into the prison. Prison. I

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Speaker 7: need to get the number from the prison every year

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Speaker 7: to see how many they are in a prison. And

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Speaker 7: this is how they can tell.

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Speaker 8: So quiem.

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Speaker 7: And this way to do. And just remember there's a

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Speaker 7: lot of shop to shut down because they give they

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Speaker 7: give up. You've got all the plane from last two

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Speaker 7: years ago and they shut down. And that's why I

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Speaker 7: can't hear anything about flame rights because most of the

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Speaker 7: shops they shut down and move on. Not only there,

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Speaker 7: but there's a lot half of the people here in

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Speaker 7: New Zealand, they are moving out from New Zealand. Most

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Speaker 7: of them they'll have business. But I'm telling you, tell

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Speaker 7: the minister to go to the prison and find out

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Speaker 7: how many is in the prison every year, and I'm

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Speaker 7: telling you this higher and high every year.

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Speaker 3: But that would argue that that's part of the plan

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Speaker 3: was to get more people, more criminals off the street,

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Speaker 3: and then too the prisons, with the idea that if

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Speaker 3: they're in the prisons, then they're not committing crime on

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Speaker 3: the streets. You get my many.

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Speaker 7: But if that is the number, this you get get

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Speaker 7: from the prison because there is where the crime is.

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Speaker 7: They pick it up every day and every year and

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Speaker 7: going to the prison. The police, they're doing a good job.

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Speaker 7: The bolice, they're doing a good job. I try to

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Speaker 7: manage the crime time. But I'm telling you this, every

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Speaker 7: year that's going up, and they're yelling for a staff

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Speaker 7: in the prison because they can't handle too many coming

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Speaker 7: every year.

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Speaker 3: Right, And so did you say that you work in

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Speaker 3: the prisons? Is that correct?

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Speaker 6: This?

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Speaker 7: I don't say that, but I the man that's really

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Speaker 7: really hard off there. We are yelling for staff every years.

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Speaker 3: It only seems fear that if there's more prisoners coming

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Speaker 3: in that there's more staff to deal with it. Absolutely,

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Speaker 3: that's that's rough.

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Speaker 7: Because there's so many. Yeah, there's so many gangs and

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Speaker 7: whatever and then the others client, different kind of clients

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Speaker 7: are going in prison.

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Speaker 6: That's what I said.

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Speaker 7: The number is not going I don't know where to

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Speaker 7: get the number from, but I can tell you go

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Speaker 7: to some other area. Well, we go to Hasting, Navia,

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Speaker 7: come on this way there and ask them.

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Speaker 4: Well we'll do that right now. See if you're in Napi,

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Speaker 4: are Hasting some of the areas around the country. Do

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Speaker 4: you agree with what he's saying. I mean, the stats

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Speaker 4: would show that forty nine thousand fewer victims of crime

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Speaker 4: has been reported. That's on two years ago.

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Speaker 3: Yeah, And then this is the stats. Where the stats

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Speaker 3: are coming from is the New Zealand Crime and Victims Survey,

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Speaker 3: which is from the Ministry of Justice, and that clicks

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Speaker 3: data on New Zealander's experience as a crime. So it's

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Speaker 3: designed to measure both reported and unreported crime. So the

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Speaker 3: idea of this particular study is to capture a broader

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Speaker 3: picture of crime than just what the police records do,

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Speaker 3: because you know a lot of crime goes unreported. So

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Speaker 3: the idea and the methodology of this is to try

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Speaker 3: and find that crime as well.

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Speaker 4: Yeah, and just to try and steal man. So Ono's

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Speaker 4: point about the ram raids in some businesses closing because

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Speaker 4: it'd had enough of it. No doubt there was parts

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Speaker 4: of their but I still think that there were methods

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Speaker 4: put in place to try and make it as hard

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Speaker 4: as possible for those primarily young offenders to commit those crimes.

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Speaker 4: And you make it too hard for them to try

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Speaker 4: and achieve it. Clearly that's going to see a reduction.

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Speaker 4: But what do you say, oh, one hundred and eighty

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Speaker 4: ten to eighty, do you think the tough on crime

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Speaker 4: approach is working or do you think it's more? There's

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Speaker 4: more to it in this Reduction and Violent Crime nine

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Speaker 4: two nine two set text, it's twenty one past one.

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Speaker 1: The headlines, the hard questions, it's the mic Hosking breakfast.

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Speaker 9: The New Zealand's losing money forty million for the six

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Speaker 9: months to December, worse than expected. Nicol Rabishenka is the CEO.

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Speaker 9: If you had all your engines and all your planes,

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Speaker 9: how different would the number be for.

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Speaker 10: The first half?

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Speaker 11: Mat did be a ninety million better result?

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Speaker 2: You see?

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Speaker 9: That would barely be making money though, wouldn't it.

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Speaker 6: Yes, the three.

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Speaker 11: Factors driving the result for us, one of them is.

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Speaker 12: Our engine issues, the two other being that we're seeing

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Speaker 12: slower than expected.

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Speaker 11: Demand particularly here domestically and cost in flashing.

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Speaker 9: You still don't seem to be making the sort of

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Speaker 9: money other realigns are because traveler is booming and their

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Speaker 9: New Zealand is not booming with it.

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Speaker 2: Yes, domestic is half our business MAC.

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Speaker 9: Monday from six am the mic Asking Breakfast with a

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Speaker 9: Veda News Talk ZB.

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Speaker 4: Twenty four past one. So, according to the New Zealand

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Speaker 4: Crime A Victims Survey, violent crime is down. So does

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Speaker 4: that mean the tough on crime approach is working or

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Speaker 4: is there more to this? So one hundred and eighty

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Speaker 4: ten eighty is that numbered call someone who is pushing

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Speaker 4: back on this is a labor MP Willie Jackson. A

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Speaker 4: little bit of what he had to say.

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Speaker 3: Oh, I'm not going to saw nonsense. You know, this

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Speaker 3: is about how people feel. We're not talking about police surveys. Yeah,

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Speaker 3: the reality is you know, I know, drug uses going

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Speaker 3: through the through the roof.

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Speaker 13: So they're just using surveys, nonsensical surveys at times.

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Speaker 3: It's just about how people.

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Speaker 14: So is the government cherry picking figures?

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Speaker 2: So?

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Speaker 3: So the it is the New Zealand Crime and Victims Survey,

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Speaker 3: which is run by the Ministry of Justice.

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Speaker 4: Yeah, so kind of the official place where they collate data.

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Speaker 4: I can't think of any other place that they collate data.

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Speaker 4: You can't just take the word on the street.

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Speaker 3: Some of these stats, well, these are some pretty pretty

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Speaker 3: robust stats. I mean, if you can't trust the Ministry

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Speaker 3: of Justice, then you know you're gonna have some bigger

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Speaker 3: questions to ask their will the guys. From a police

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Speaker 3: officer of nearly thirty years, is this texture crime doesn't

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Speaker 3: go down naturally. This government's harder stance has definitely made

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Speaker 3: a difference as opposed to the Labor and Green's policy

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Speaker 3: of be kind to bad people and they will miraculously

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Speaker 3: change their ways. That's from Lance. Thank you for your texts, ride,

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Speaker 3: Welcome to the show.

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Speaker 15: O good Hey guys, the Zbies Dynamic Duo.

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Speaker 6: I had to say that, but hey.

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Speaker 15: Look, first, cops, you know, let's face it, cops do

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Speaker 15: a thinkless task, you know, and that's the hell of

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Speaker 15: a job. You know, you're at the sort of the

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Speaker 15: you know, sharp end of some terrible stuff. But you know,

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Speaker 15: hearing Paul Goldsmith, he's just talking political speech. You know,

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Speaker 15: I'm not I'm not talking from biased, you know, being

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Speaker 15: either right or left or whatever. I'm just saying it.

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Speaker 6: I mean, it's rubbish. I mean out there.

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Speaker 15: I mean, we hear him say that, and then the

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Speaker 15: next news item will be that, you know, gang and

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Speaker 15: the people you know yawning gangs and it's you know,

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Speaker 15: at a it's highest rate, you know, and and there's

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Speaker 15: people not joining the police force. You know.

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Speaker 6: So it's sort of like what do they call it, cognitive.

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Speaker 3: Something or other, cognitive dissonance, dissonance.

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Speaker 6: That's it?

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Speaker 15: Yeah, yeah, yeah, yeah, yeah that you know you're hearing

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Speaker 15: oh yeah, you know crime statistics, you know, crimes down statistics.

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Speaker 10: I mean, what a word anyway.

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Speaker 6: You know, it's so it sounds pretty daft. I mean,

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Speaker 6: the drug problem.

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Speaker 15: Out there with that mess and everything else is going

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Speaker 15: through the roof.

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Speaker 6: And Mike I just mentioned.

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Speaker 15: You know, guys, and I say, it's more guys than

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Speaker 15: girls are joining gangs, and it's it's a worry, you know.

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Speaker 3: But I mean, we're going to have We're gonna have

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Speaker 3: Mike Mark Mitchell on the show later on Rod and

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Speaker 3: he pushed back heavily against He pushed back heavily against

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Speaker 3: the coverage from from One News. I believe because he said, okay,

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Speaker 3: he said that, you know, and there's been some talk

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Speaker 3: about the press galleries response to this and how One

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Speaker 3: News put together they're reporting on these particular stats, and

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Speaker 3: so you say this one story saying this, and this

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Speaker 3: one story saying that. Straight afterwards, there's a lot of

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Speaker 3: questions about that gang, that particular gang story and why

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Speaker 3: it was, why it was rolled out like that.

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Speaker 6: Right, yeah, okay.

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Speaker 15: And the other thing is with Paul Goldsmith. Now he's

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Speaker 15: performed a terrible crime. And I used to be in

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Speaker 15: the second and collectible book business, and there was.

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Speaker 6: A book he wrote, a biography.

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Speaker 15: Of John Banks, and immediately when it coming with a

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Speaker 15: load of books, I just chuck it on the dollar.

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Speaker 6: And you know, thinking it'll go you know, it.

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Speaker 15: Never sold, and that was the biggest crime I think

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Speaker 15: he's committed.

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Speaker 14: Break. Yeah.

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Speaker 3: I mean, but there's a lot of good people that

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Speaker 3: whose box have ended up in the bargain exactly.

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Speaker 8: Yeah.

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Speaker 4: Yeah, they all wind up there eventually.

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Speaker 2: Isn't there yet? No?

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Speaker 3: I can see a time, give it another two maybe

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Speaker 3: see your title. Yeah out there for one dollar in road,

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Speaker 3: can't sell it?

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Speaker 4: Yeah, thank you so much.

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Speaker 3: For your call mate. We always appreciate talking to you.

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Speaker 4: Oh eight hundred and eighty ten eighty is that number

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Speaker 4: to call? So filent crime is down according to the

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00:18:19,733 --> 00:18:22,173
Speaker 4: New Zealand Crime A Victims Survey. Does that mean the

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Speaker 4: tough on crime approach from this government is working? Keen

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Speaker 4: to get your views? Nine to nine two? Is that text?

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Speaker 4: Headlines with Raylena's coming up? Beagvery shortly us talk said,

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Speaker 4: be headlines with your Ride, New Zealand's number one taxi

400
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Speaker 4: app Download your ride today. Fire and Emergency is trying

401
00:18:40,173 --> 00:18:42,893
Speaker 4: to ease concerns over a lack of staff in one

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00:18:42,973 --> 00:18:46,933
Speaker 4: one one call centers. The Professional Firefighters' Union says they

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00:18:46,973 --> 00:18:50,773
Speaker 4: were six dispatches short across the country last night. Fire

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00:18:50,813 --> 00:18:53,973
Speaker 4: and Emergency says numbers were down due to sickness, but

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00:18:54,093 --> 00:18:57,693
Speaker 4: no calls were missed. Tough words for christ Church City

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00:18:57,733 --> 00:19:02,373
Speaker 4: Council over the Bromley wastewater stench Environment Canterbury has issued

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00:19:02,453 --> 00:19:05,533
Speaker 4: an abatement notice to the council for not doing something

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00:19:05,533 --> 00:19:09,093
Speaker 4: about the problem. Police are no longer treating a death

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00:19:09,133 --> 00:19:13,573
Speaker 4: in West Coasts Fathala is unexplained. A body was found

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00:19:13,573 --> 00:19:17,733
Speaker 4: near a vehicle at Parker's Creek. On Tuesday, Kiwi rail

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00:19:17,933 --> 00:19:20,893
Speaker 4: is on Tractor hit a full year operating surplus of

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Speaker 4: one hundred and sixty million dollars. It's reporting a surplus

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Speaker 4: of seventy three point four million for the first half

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Speaker 4: of the financial year. Board chairs Suzanne Tindall says the

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Speaker 4: results reflect improved operating performance across its commercial businesses. Saw

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00:19:37,413 --> 00:19:40,373
Speaker 4: the gold and rain for it. What is driving the

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Speaker 4: Kiwi exodus to Australia. You can read more at Incident

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00:19:43,853 --> 00:19:47,013
Speaker 4: Herald Premium. Back to Matt Ethan Tyler Adams, thank you

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00:19:47,173 --> 00:19:49,613
Speaker 4: very much, Raylian. So we are talking about the government's

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Speaker 4: tough on crime.

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Speaker 3: Approach, right, is such a great caller.

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Speaker 4: Yes, that's a good man.

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Speaker 3: I love it. He talking about Paul Goltzmanth's crime that

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Speaker 3: you can't sell us book for a dollar anyway. But

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Speaker 3: to put what I was saying to Ride on the

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Speaker 3: phone call was that Mark Mitchell pushed back as Rob

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Speaker 3: was saying that you saw these the you know Paul

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Speaker 3: Goldsmith saying these positive stats, yes, that have come out

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Speaker 3: from the New Zealand Crime and Victims Survey, Ministry of

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Speaker 3: Justice that say that crime is dropping significantly. Yes, But

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Speaker 3: then he said the next story was talking about you

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Speaker 3: know how many gang members are in the country, and

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Speaker 3: this is what Mark Mitchell said, absolutely unbelievable that on

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Speaker 3: a day that the government announces forty nine thousand few

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Speaker 3: of victims of violent crime and a twenty two percent

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00:20:36,013 --> 00:20:39,733
Speaker 3: decrease in serious repeat youth offending, One News chose to

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Speaker 3: instead to engage in unbalanced journalism by running a story

438
00:20:43,133 --> 00:20:45,773
Speaker 3: about gang membership with none of the context around the

439
00:20:45,773 --> 00:20:48,253
Speaker 3: outstanding work our police are doing and cracking down on

440
00:20:48,253 --> 00:20:50,813
Speaker 3: the gangs in New Zealand. The government has introduced tough

441
00:20:50,813 --> 00:20:53,493
Speaker 3: new anti gang laws, got rid of gang patches, made

442
00:20:53,533 --> 00:20:56,333
Speaker 3: significant changes to the sentencing laws, abandoned to the thirty

443
00:20:56,693 --> 00:21:00,133
Speaker 3: cent the thirty percent prison reduction target, and got police

444
00:21:00,173 --> 00:21:04,173
Speaker 3: back on their call role, highly visible and back out

445
00:21:04,213 --> 00:21:06,693
Speaker 3: in the communities that they serve. All of this has

446
00:21:06,773 --> 00:21:09,493
Speaker 3: meant that our police have made out standing progress and

447
00:21:09,533 --> 00:21:11,813
Speaker 3: getting on top of the violence and littleness we used

448
00:21:11,813 --> 00:21:15,333
Speaker 3: to see with gangs regularly taking over highways and provincial towns.

449
00:21:15,453 --> 00:21:17,373
Speaker 3: It is a shame that One News chows not to

450
00:21:17,413 --> 00:21:20,213
Speaker 3: mention any of it. Kewis can judge that for themselves

451
00:21:20,253 --> 00:21:22,733
Speaker 3: this is a good start for us as a country,

452
00:21:22,773 --> 00:21:25,093
Speaker 3: but we have more work to do and we are

453
00:21:25,213 --> 00:21:26,213
Speaker 3: just getting on with it.

454
00:21:26,373 --> 00:21:26,933
Speaker 2: Right there you go.

455
00:21:27,013 --> 00:21:27,973
Speaker 3: So that was his pushback.

456
00:21:28,133 --> 00:21:28,813
Speaker 2: Yes, on that.

457
00:21:30,613 --> 00:21:34,773
Speaker 3: Gang story that was after the forty nine thousand few

458
00:21:34,773 --> 00:21:35,693
Speaker 3: of victims.

459
00:21:35,333 --> 00:21:36,933
Speaker 4: Report, yeap, And we are going to have a chat

460
00:21:36,973 --> 00:21:40,653
Speaker 4: to the police minister about that in approximately ten minutes time.

461
00:21:40,933 --> 00:21:43,093
Speaker 4: But keen to get your views on this. So one

462
00:21:43,173 --> 00:21:45,733
Speaker 4: hundred and eighty ten eighty. It is this evidence that

463
00:21:45,773 --> 00:21:47,693
Speaker 4: the tough on crime approach is working.

464
00:21:48,413 --> 00:21:51,213
Speaker 16: Brian, Yeah, good our guys, how are you going?

465
00:21:51,333 --> 00:21:52,493
Speaker 4: Very good? What's your thoughts?

466
00:21:53,133 --> 00:21:53,293
Speaker 7: Oh?

467
00:21:53,333 --> 00:21:54,893
Speaker 16: I think this is a good thing. I think that

468
00:21:54,973 --> 00:21:57,293
Speaker 16: the government as well was in its rights to claim

469
00:21:57,333 --> 00:22:00,373
Speaker 16: a victory in this. They campaigned on getting tough on

470
00:22:00,533 --> 00:22:03,533
Speaker 16: crime and the figures proving that they're on the right track.

471
00:22:04,893 --> 00:22:07,093
Speaker 16: And as for Willie Jackson, I mean you're going to

472
00:22:07,093 --> 00:22:10,532
Speaker 16: expect some wish back from Willy a member of the

473
00:22:11,173 --> 00:22:14,573
Speaker 16: party that's approached the crime was give the offenders a

474
00:22:14,573 --> 00:22:16,733
Speaker 16: cuddle and a cup of tea and and shame the

475
00:22:16,813 --> 00:22:20,453
Speaker 16: victims for daring to report it. And the toddle about

476
00:22:20,813 --> 00:22:23,973
Speaker 16: the pent up rage during the lockdown as well, who

477
00:22:24,053 --> 00:22:27,813
Speaker 16: implemented the lockdowns. Will he your guys, So I think

478
00:22:27,813 --> 00:22:31,293
Speaker 16: he's booking a load of you know what.

479
00:22:30,373 --> 00:22:35,893
Speaker 3: What particular policies or initiatives you do think have worked

480
00:22:36,253 --> 00:22:40,093
Speaker 3: well from from the government since they've been they've been

481
00:22:40,093 --> 00:22:41,933
Speaker 3: getting tough on crime, Brian.

482
00:22:42,493 --> 00:22:48,173
Speaker 16: Well, I think the gang patch has been a good push.

483
00:22:48,453 --> 00:22:51,933
Speaker 16: Figures are showing that that has had a remarkable decrease

484
00:22:51,973 --> 00:22:55,173
Speaker 16: in crime in the areas where gangs were pretty much

485
00:22:55,173 --> 00:22:58,693
Speaker 16: out of control. And also cops on the beat brilliant,

486
00:22:58,733 --> 00:23:03,493
Speaker 16: you know. I think that's being visible and showing would

487
00:23:03,493 --> 00:23:06,253
Speaker 16: be offenders that there are people around observing and are

488
00:23:06,293 --> 00:23:08,933
Speaker 16: willing to take them into custody if they are seen

489
00:23:09,013 --> 00:23:11,293
Speaker 16: to do the wrong thing. Is a good thing too.

490
00:23:11,373 --> 00:23:14,933
Speaker 16: That's the detraction factor has got to be has got

491
00:23:14,933 --> 00:23:15,613
Speaker 16: to be a good one.

492
00:23:16,693 --> 00:23:18,413
Speaker 3: Thank you for you call, Brian, appreciate it.

493
00:23:18,693 --> 00:23:20,333
Speaker 4: Oh one hundred and eighty teen eighties and number to

494
00:23:20,333 --> 00:23:22,253
Speaker 4: call Chris. Chris your thoughts on all.

495
00:23:22,173 --> 00:23:25,413
Speaker 11: Of that, say, you know, I wouldn't be too concerned

496
00:23:25,413 --> 00:23:28,213
Speaker 11: about the old Ram raiders. I'd be more concerned about

497
00:23:28,213 --> 00:23:32,413
Speaker 11: the Gram raiders because I'll tell you what a precursor.

498
00:23:32,813 --> 00:23:36,573
Speaker 11: A precursor to most people in prison en crime is

499
00:23:36,733 --> 00:23:39,653
Speaker 11: addiction and drugs. Yeah, so if we are seeing news

500
00:23:39,853 --> 00:23:42,653
Speaker 11: article after the news article of the amount of methanphetamine

501
00:23:42,693 --> 00:23:45,693
Speaker 11: and cocaine seeds at the border, isn't that more of

502
00:23:45,693 --> 00:23:48,013
Speaker 11: a focus. And people can talk about the one news

503
00:23:48,093 --> 00:23:50,773
Speaker 11: article last night as much as they want. But it's

504
00:23:50,813 --> 00:23:54,293
Speaker 11: a pretty good temper of the situation because it's not

505
00:23:54,413 --> 00:23:57,733
Speaker 11: the hair of many thousand gang members you've got, it's

506
00:23:57,933 --> 00:24:00,693
Speaker 11: all the people connected to those, particularly gang members. I

507
00:24:00,733 --> 00:24:03,813
Speaker 11: suspect that people connected to the police are probably good

508
00:24:03,933 --> 00:24:07,613
Speaker 11: well to do citizens, right, So to temporary expectation about oh,

509
00:24:07,693 --> 00:24:10,653
Speaker 11: it's amazing effort from the national government around crime. I

510
00:24:10,693 --> 00:24:12,813
Speaker 11: thought it was a good, truthful article.

511
00:24:13,573 --> 00:24:16,653
Speaker 3: Well well, well we'll look into that in a minute.

512
00:24:16,693 --> 00:24:20,093
Speaker 3: But these stats, though, are pretty robust. They're from the

513
00:24:20,133 --> 00:24:23,213
Speaker 3: Ministry of Justice. So this is these aren't government stats.

514
00:24:23,253 --> 00:24:25,813
Speaker 3: Well they're government stats, but they're not national party stats

515
00:24:25,813 --> 00:24:29,013
Speaker 3: that have that have come out. And so you've got like,

516
00:24:29,053 --> 00:24:30,973
Speaker 3: can we just just let me finish, not that you

517
00:24:31,013 --> 00:24:34,293
Speaker 3: talk chriss sorry, but so the myth the really interesting

518
00:24:34,333 --> 00:24:35,973
Speaker 3: thing with the amount of myth and drugs are coming in.

519
00:24:36,613 --> 00:24:39,693
Speaker 3: The stats are saying that these stats are saying that

520
00:24:39,693 --> 00:24:42,293
Speaker 3: they're not more crime. Violent crime hasn't been committed. But

521
00:24:42,333 --> 00:24:44,893
Speaker 3: the interesting thing about those myth stats is suggesting that

522
00:24:45,213 --> 00:24:47,773
Speaker 3: the amount of drug takers is not increasing, just the

523
00:24:47,773 --> 00:24:50,693
Speaker 3: amount of drugs the people that are taking drugs are taking.

524
00:24:50,773 --> 00:24:51,693
Speaker 3: If you see what I'm saying.

525
00:24:51,613 --> 00:24:56,093
Speaker 11: Chris, that could be one perspective. But when was the

526
00:24:56,173 --> 00:24:59,733
Speaker 11: last time you walked through an idyllic suburb such as Henderson.

527
00:24:59,773 --> 00:25:03,893
Speaker 11: We're still on the twelve o'clock on a Tuesday regularly, Well,

528
00:25:04,173 --> 00:25:07,133
Speaker 11: you would have seen the social detriment that lives out

529
00:25:07,173 --> 00:25:09,013
Speaker 11: there in a plate and a so people like that

530
00:25:09,413 --> 00:25:11,613
Speaker 11: clean ed and three we're still clan probably areas in

531
00:25:11,653 --> 00:25:14,813
Speaker 11: South Oakland where some people won't see. And I'll tell

532
00:25:14,813 --> 00:25:15,573
Speaker 11: you what, man like.

533
00:25:15,813 --> 00:25:16,973
Speaker 6: The social.

534
00:25:18,733 --> 00:25:21,933
Speaker 11: You know, detriment of that sort of. I think it's

535
00:25:21,933 --> 00:25:24,013
Speaker 11: more of a focus than Hey, there's not as much

536
00:25:24,453 --> 00:25:25,893
Speaker 11: violent crimes going on.

537
00:25:27,253 --> 00:25:29,933
Speaker 3: For the people that the people that suffer the most,

538
00:25:30,093 --> 00:25:34,453
Speaker 3: the people that suffer the most violent crime and therefore

539
00:25:34,493 --> 00:25:37,572
Speaker 3: suffering less violent crime, are the people in the very

540
00:25:37,613 --> 00:25:40,453
Speaker 3: areas you talk about. So it's not perfect, it's still terrible.

541
00:25:40,453 --> 00:25:43,613
Speaker 3: There's still one hundred and thirty five thousand people being

542
00:25:43,933 --> 00:25:46,933
Speaker 3: victims out there, So it's not great, it's just better

543
00:25:46,973 --> 00:25:49,013
Speaker 3: than it was. So one hundred and thirty six thousand

544
00:25:49,053 --> 00:25:51,573
Speaker 3: people with victims of crime nationwide in the twelve months

545
00:25:51,653 --> 00:25:55,733
Speaker 3: to twenty five October twenty twenty five, that's horrible. That's

546
00:25:55,773 --> 00:25:59,133
Speaker 3: one hundred and thirty six thousand people. So the fact

547
00:25:59,133 --> 00:26:02,093
Speaker 3: that it's forty nine thousand fewer down the jobs certainly

548
00:26:02,733 --> 00:26:04,693
Speaker 3: not over. It's still horrific.

549
00:26:04,893 --> 00:26:07,973
Speaker 11: At Chris, I'd just been quite quick to go to

550
00:26:08,493 --> 00:26:11,413
Speaker 11: a lot of people who offend and do these topics crimes,

551
00:26:11,773 --> 00:26:13,773
Speaker 11: A lot of them are under the influence of a substance.

552
00:26:14,013 --> 00:26:16,053
Speaker 3: Yeah, yeah, no, no doubt about it, doubt about it all.

553
00:26:16,093 --> 00:26:18,533
Speaker 4: Do you think though, Look, I didn't watch that gang

554
00:26:18,573 --> 00:26:20,493
Speaker 4: story in full, but I've just read the story online,

555
00:26:20,493 --> 00:26:23,333
Speaker 4: which is verbatim, and I think the argument from the

556
00:26:23,333 --> 00:26:25,893
Speaker 4: police minister and others is that it was very one sided.

557
00:26:25,933 --> 00:26:27,693
Speaker 4: That it went to Ginny Anderson, and it went to

558
00:26:27,693 --> 00:26:30,173
Speaker 4: a lot of people on the other side of the equation,

559
00:26:30,293 --> 00:26:32,333
Speaker 4: but it didn't speak directly to police. It spoke to

560
00:26:32,373 --> 00:26:35,013
Speaker 4: the Prime Minister, but not directly to police. But do

561
00:26:35,093 --> 00:26:38,933
Speaker 4: you accept that when you present a story that perhaps

562
00:26:38,933 --> 00:26:40,933
Speaker 4: in that instance it might have been a bit one

563
00:26:40,973 --> 00:26:46,173
Speaker 4: sided potentially. Yeah, okay, all right, nice to hear from

564
00:26:46,173 --> 00:26:47,133
Speaker 4: your christ think very much.

565
00:26:47,293 --> 00:26:48,453
Speaker 3: Appreciate your call mate.

566
00:26:48,573 --> 00:26:50,893
Speaker 4: Yes, so eight one hundred eighty ten eighty. So do

567
00:26:50,933 --> 00:26:52,653
Speaker 4: you agree with what Chris is saying? Is there more

568
00:26:52,693 --> 00:26:54,813
Speaker 4: to it than just this tough on crime approach that

569
00:26:54,893 --> 00:26:59,053
Speaker 4: seen this reduction in violent offenses came to get your view?

570
00:26:59,173 --> 00:27:01,813
Speaker 3: I mean it's when you think about it, one hundred

571
00:27:01,813 --> 00:27:05,613
Speaker 3: and thirty six thousand people were victims of crime nationwide

572
00:27:05,653 --> 00:27:08,213
Speaker 3: and twelve months October. So that wasn't violent crime? Sorry

573
00:27:08,373 --> 00:27:10,053
Speaker 3: said that wrong. It's one hundred and thirty six thousand

574
00:27:10,053 --> 00:27:13,333
Speaker 3: people were victims of crime nationwide and twelve months to

575
00:27:13,413 --> 00:27:14,613
Speaker 3: October twenty twenty five.

576
00:27:14,733 --> 00:27:17,573
Speaker 4: Yes, yeah, nine two ninety two is that text? It

577
00:27:17,773 --> 00:27:19,933
Speaker 4: is twenty minutes to two and just a reminder coming

578
00:27:20,013 --> 00:27:23,413
Speaker 4: up very soon we will speak to Police Minister Mark Mitchell.

579
00:27:23,493 --> 00:27:26,653
Speaker 1: Back shortly to have a chat with Matt and Tyler

580
00:27:26,773 --> 00:27:29,013
Speaker 1: on oh, eight hundred and eighty ten eighty Matt, Heathan

581
00:27:29,093 --> 00:27:31,373
Speaker 1: Tyler Adams afternoons with Skoda.

582
00:27:31,493 --> 00:27:32,973
Speaker 10: Can you crack the scoder code?

583
00:27:33,093 --> 00:27:35,453
Speaker 4: News dog Z'd be very good afternoon, chill. It is

584
00:27:35,533 --> 00:27:39,413
Speaker 4: seventeen to two and we are talking about the drop

585
00:27:39,533 --> 00:27:43,532
Speaker 4: in victims of violent crime forty nine thousand according to

586
00:27:43,653 --> 00:27:46,293
Speaker 4: the latest survey from the Ministry of Justice. So the

587
00:27:46,333 --> 00:27:49,453
Speaker 4: question we've got viewers when it comes to reducing crime,

588
00:27:49,493 --> 00:27:51,373
Speaker 4: what do you think has worked? Is it the tough

589
00:27:51,373 --> 00:27:54,173
Speaker 4: on crime approacher? Is there more to it than just that?

590
00:27:54,253 --> 00:27:56,413
Speaker 4: Our eight hundred eighty ten eighty is the number two

591
00:27:56,493 --> 00:27:57,413
Speaker 4: call get a Jeff?

592
00:27:58,813 --> 00:28:00,173
Speaker 17: Yeah, Hey guys, how are you doing?

593
00:28:00,493 --> 00:28:02,293
Speaker 4: Very good? What's your thoughts?

594
00:28:02,853 --> 00:28:05,973
Speaker 17: Look, we're I'm going to retail business and we've got

595
00:28:06,013 --> 00:28:09,693
Speaker 17: stores all around New Zealand and we've noticed a huge

596
00:28:09,733 --> 00:28:14,213
Speaker 17: difference in RAM raids and over the last two or

597
00:28:14,253 --> 00:28:16,333
Speaker 17: three years. In the last eighteen months we haven't had

598
00:28:16,333 --> 00:28:20,093
Speaker 17: a RAM raid, but previous to that and from twenty

599
00:28:20,253 --> 00:28:22,733
Speaker 17: twenty one to twenty twenty three we had about six

600
00:28:22,813 --> 00:28:27,093
Speaker 17: or seven RAM raids across our Networkers stores. And we're

601
00:28:27,133 --> 00:28:30,733
Speaker 17: also getting a lot less a lot less dramas with

602
00:28:31,293 --> 00:28:35,333
Speaker 17: aggressive shop listing and stuff. So we've certainly noticed a difference.

603
00:28:36,613 --> 00:28:37,973
Speaker 4: And what do you put that down to? I mean,

604
00:28:38,093 --> 00:28:40,413
Speaker 4: is it this tough on crime approach? And to break

605
00:28:40,413 --> 00:28:43,213
Speaker 4: it down even further, the introduction of these ballards trying

606
00:28:43,253 --> 00:28:46,493
Speaker 4: to give some some funding to you know, install these

607
00:28:46,533 --> 00:28:49,453
Speaker 4: anti crime prevention measures or is it across the board.

608
00:28:50,533 --> 00:28:52,893
Speaker 17: It's well, it's across the board. I mean we've we've

609
00:28:52,893 --> 00:28:55,533
Speaker 17: spent an awful lot of money on billards and stuff

610
00:28:55,573 --> 00:28:58,293
Speaker 17: like that. But in the last eighteen months, I haven't

611
00:28:58,333 --> 00:29:02,413
Speaker 17: had a single RAM raid and it's and further the

612
00:29:02,493 --> 00:29:04,733
Speaker 17: RAM raids, we had a lot of other burglaries where

613
00:29:04,773 --> 00:29:07,213
Speaker 17: people would come through the roofs and rip the roofing

614
00:29:07,253 --> 00:29:09,973
Speaker 17: iron off or you know, get around it a different way.

615
00:29:10,053 --> 00:29:12,893
Speaker 17: But in the last eighteen months, no burglaries at all.

616
00:29:13,933 --> 00:29:16,653
Speaker 4: Which is phenomenal. So how many RAM raids were you

617
00:29:16,733 --> 00:29:18,373
Speaker 4: getting on on a regular basis?

618
00:29:19,333 --> 00:29:21,093
Speaker 17: Oh, there was a period of time there where we

619
00:29:21,093 --> 00:29:23,933
Speaker 17: were getting one every two months, and you know, like

620
00:29:23,973 --> 00:29:26,453
Speaker 17: I'm every night, I'm sleeping with my phone beside the

621
00:29:26,493 --> 00:29:28,613
Speaker 17: bed and you know, you dread the call at three

622
00:29:28,653 --> 00:29:31,013
Speaker 17: am and it's like the store's got a you know,

623
00:29:31,093 --> 00:29:34,013
Speaker 17: the police are ringing and it's been another RAM raid

624
00:29:34,133 --> 00:29:38,253
Speaker 17: and there's just so much to deal with. Yeah, so recently,

625
00:29:38,413 --> 00:29:42,373
Speaker 17: recent times it's been great, and I have to link

626
00:29:42,413 --> 00:29:45,293
Speaker 17: that with the tougher on crime approach. I can't see

627
00:29:45,293 --> 00:29:49,493
Speaker 17: any other way around it. There's just been less incidences.

628
00:29:49,693 --> 00:29:53,493
Speaker 4: How are the staff feeling oh a lot better?

629
00:29:54,333 --> 00:29:55,893
Speaker 16: Yeah, I think I booked you guys.

630
00:29:55,893 --> 00:29:57,453
Speaker 17: A couple of years ago when we had one of

631
00:29:57,453 --> 00:30:00,093
Speaker 17: our stores we had to close the doors and keep

632
00:30:00,093 --> 00:30:03,373
Speaker 17: the doors closed and only let people in by appointment

633
00:30:04,293 --> 00:30:07,533
Speaker 17: because we had so many issues of crime. And that

634
00:30:07,693 --> 00:30:09,933
Speaker 17: stores fully open again and it's much better.

635
00:30:10,213 --> 00:30:13,533
Speaker 4: Yeah, Jeff, thank you very much for giving us a bars.

636
00:30:13,573 --> 00:30:15,853
Speaker 4: I mean, it's fantastic to hear what's happened in your

637
00:30:15,853 --> 00:30:18,453
Speaker 4: particular business. And you're a retailer with twenty five stores,

638
00:30:18,493 --> 00:30:21,813
Speaker 4: so remarkable improvement in the number of ram raids, which

639
00:30:21,853 --> 00:30:25,053
Speaker 4: is a funny thing to say, but you know, fantastic

640
00:30:25,093 --> 00:30:28,733
Speaker 4: that you're not seeing that that extent anymore, right, nine

641
00:30:28,813 --> 00:30:30,813
Speaker 4: two ninety two is the text. Love to hear your

642
00:30:30,853 --> 00:30:32,733
Speaker 4: thoughts on this. But as we've been talking about the

643
00:30:32,733 --> 00:30:35,973
Speaker 4: New Zealand governments herees it's tough on crime. Policies are working.

644
00:30:36,013 --> 00:30:38,533
Speaker 4: The latest survey shows forty nine thousand fewer victims of

645
00:30:38,573 --> 00:30:40,653
Speaker 4: violent crime in the year to October twenty twenty five

646
00:30:40,693 --> 00:30:42,973
Speaker 4: compared with two years ago. To discuss further, we are

647
00:30:43,053 --> 00:30:46,293
Speaker 4: joined by Police Minister Mark Mitchell Minister. Very good afternoon

648
00:30:46,333 --> 00:30:46,573
Speaker 4: to you.

649
00:30:47,693 --> 00:30:49,053
Speaker 2: Gido Tyler. How are you guys?

650
00:30:49,413 --> 00:30:51,773
Speaker 3: Very good, thanks for joining us. How robust is the

651
00:30:51,813 --> 00:30:54,853
Speaker 3: Ministry of Justice New Zealand Crime and Victims Survey?

652
00:30:56,213 --> 00:30:58,733
Speaker 18: Well, I mean that's the measure that we've always has

653
00:30:58,733 --> 00:31:01,053
Speaker 18: always been there and obviously we're using in terms of

654
00:31:01,773 --> 00:31:04,253
Speaker 18: how many victims and how many victimizations are coming into

655
00:31:04,293 --> 00:31:06,813
Speaker 18: our criminal justice system. But I just wanted to really

656
00:31:06,853 --> 00:31:11,013
Speaker 18: take a moment to acknowledged Jeff who I listened to

657
00:31:11,013 --> 00:31:13,493
Speaker 18: the interview with him and he hit on it perfectly.

658
00:31:13,533 --> 00:31:16,333
Speaker 18: And the thing that used to strike me was with

659
00:31:16,453 --> 00:31:19,613
Speaker 18: the amount of retail crime and violent retail crime that

660
00:31:19,653 --> 00:31:22,653
Speaker 18: we're experiencing our country, the amount of anxiety and stress

661
00:31:23,213 --> 00:31:27,173
Speaker 18: that goes on the owners of these businesses and literally

662
00:31:27,813 --> 00:31:31,053
Speaker 18: the sleepless nights fearing the phone going and telling them

663
00:31:31,053 --> 00:31:33,333
Speaker 18: that something else had happened, and of course you know

664
00:31:33,373 --> 00:31:35,613
Speaker 18: that that flows on to their employees as well. So

665
00:31:36,253 --> 00:31:39,773
Speaker 18: we've definitely made some good progress. Police are working with

666
00:31:39,853 --> 00:31:43,613
Speaker 18: those businesses as well. It's definitely a team effort, but

667
00:31:43,653 --> 00:31:45,133
Speaker 18: we've still got a long way to go. There's still

668
00:31:45,213 --> 00:31:46,653
Speaker 18: you know, we still have to do a lot more

669
00:31:47,573 --> 00:31:49,453
Speaker 18: to get on top of the violent crime in our country.

670
00:31:49,453 --> 00:31:51,293
Speaker 18: But we're certainly, you know, in terms of our own

671
00:31:51,293 --> 00:31:53,253
Speaker 18: targets that were set, we're exceeding those at the moment,

672
00:31:53,293 --> 00:31:54,013
Speaker 18: so that's a good thing.

673
00:31:54,333 --> 00:31:57,413
Speaker 3: What do you think's led to this reduction in crime.

674
00:31:58,453 --> 00:32:00,733
Speaker 18: I think it's a it's been a whole When I

675
00:32:00,733 --> 00:32:03,373
Speaker 18: say our whole system, it's always about people, but it's

676
00:32:03,413 --> 00:32:04,253
Speaker 18: everyone that's in the.

677
00:32:04,173 --> 00:32:06,093
Speaker 2: Criminal justice system itself.

678
00:32:06,093 --> 00:32:07,533
Speaker 18: So the people that are trying to make the courts

679
00:32:07,573 --> 00:32:09,733
Speaker 18: go fast to get the cases in front of the

680
00:32:09,773 --> 00:32:12,773
Speaker 18: judges quicker, have less people in romand in our prisons,

681
00:32:13,773 --> 00:32:17,453
Speaker 18: and obviously a change of sentencing laws, a change of

682
00:32:18,333 --> 00:32:21,653
Speaker 18: you know, a return of three strikes, A big focus

683
00:32:21,693 --> 00:32:25,133
Speaker 18: with me on police being highly visible back in the communities,

684
00:32:25,173 --> 00:32:28,693
Speaker 18: beat teams, getting disruption units, allowing them to get onto

685
00:32:28,733 --> 00:32:30,573
Speaker 18: their core role and pulling them out of the stuff

686
00:32:30,613 --> 00:32:34,053
Speaker 18: some of the stuff that they shouldn't be doing, mental

687
00:32:34,093 --> 00:32:38,653
Speaker 18: health workers and things like that, and working with our shopkeepers.

688
00:32:38,653 --> 00:32:41,053
Speaker 18: And I think that that is in our security sector.

689
00:32:41,413 --> 00:32:42,253
Speaker 2: I think what you've.

690
00:32:42,133 --> 00:32:46,293
Speaker 18: Seen as a whole of society response and it's and

691
00:32:46,333 --> 00:32:47,973
Speaker 18: it's working for us now.

692
00:32:48,813 --> 00:32:52,413
Speaker 3: Labor Minister Willie Jackson said this and I quote, that's

693
00:32:52,413 --> 00:32:55,133
Speaker 3: all nonsense. This is about how people feel. We're not

694
00:32:55,173 --> 00:32:58,333
Speaker 3: talking about police surveys here. You know, I know drug

695
00:32:58,453 --> 00:33:00,773
Speaker 3: uses going through the roof, so they are just using

696
00:33:00,813 --> 00:33:01,933
Speaker 3: nonsensical surveys.

697
00:33:03,533 --> 00:33:05,573
Speaker 18: Yeah, I take with what he says with it with

698
00:33:05,613 --> 00:33:08,573
Speaker 18: a grain salt. He was he fought again. It's the

699
00:33:08,613 --> 00:33:11,533
Speaker 18: Gang Pitch Band, along with Bill O'Reilly, who's a long

700
00:33:11,653 --> 00:33:15,013
Speaker 18: term patch member of among them, the Black Power.

701
00:33:15,413 --> 00:33:17,693
Speaker 2: Bill was out there. Him and I had never really

702
00:33:17,693 --> 00:33:18,533
Speaker 2: seen eye to eye.

703
00:33:18,453 --> 00:33:20,253
Speaker 18: But the huge respect and ups to him that he

704
00:33:20,293 --> 00:33:22,133
Speaker 18: came out today and said, Look, the Gang Pitch ban

705
00:33:22,213 --> 00:33:26,253
Speaker 18: has been very good. It's made gang members reevaluate their lives,

706
00:33:26,413 --> 00:33:28,253
Speaker 18: that the lives that their kids are growing up in.

707
00:33:29,213 --> 00:33:32,013
Speaker 18: It's taken away all the aggression and stigma associated with

708
00:33:32,053 --> 00:33:35,213
Speaker 18: having to put patches on. So it's had a positive

709
00:33:35,213 --> 00:33:37,173
Speaker 18: social change for us. And that was always why I

710
00:33:37,173 --> 00:33:39,933
Speaker 18: wanted to bring that gang Pitch in, is that you

711
00:33:39,973 --> 00:33:41,653
Speaker 18: can do the tough on crime stuff. We've got to

712
00:33:41,693 --> 00:33:43,493
Speaker 18: do that. There's bad people out there that do bad

713
00:33:43,533 --> 00:33:46,053
Speaker 18: things and there's got to be consequences. But the way

714
00:33:46,093 --> 00:33:48,573
Speaker 18: that but the Gang Pitch Band has actually driven some

715
00:33:48,693 --> 00:33:52,053
Speaker 18: really positive social change for us as well. So you know,

716
00:33:52,133 --> 00:33:53,773
Speaker 18: Willie was one of the guys out there, don't say,

717
00:33:53,853 --> 00:33:55,333
Speaker 18: don't do it. It's going to be a disaster, it

718
00:33:55,373 --> 00:33:57,893
Speaker 18: won't work. So that Labor, in my view, don't have

719
00:33:57,973 --> 00:34:00,133
Speaker 18: much credibility when it comes to public safety. In fact,

720
00:34:00,173 --> 00:34:03,133
Speaker 18: they have none, because you know, I've dedicated most of

721
00:34:03,173 --> 00:34:06,013
Speaker 18: my life and my country, which I love dearly, to

722
00:34:06,173 --> 00:34:08,973
Speaker 18: public safety. And I watched under sixty year of labor

723
00:34:09,933 --> 00:34:12,453
Speaker 18: a wrecking ball put through it, and all of our

724
00:34:12,453 --> 00:34:15,013
Speaker 18: stats heading in the wrong direction, and slowly but surely

725
00:34:15,413 --> 00:34:17,772
Speaker 18: we're bringing that back under control, and we're we're heading

726
00:34:17,813 --> 00:34:20,173
Speaker 18: in a positive, you know, in direction.

727
00:34:20,653 --> 00:34:22,893
Speaker 4: Minister. We talk about the one News story after you

728
00:34:22,933 --> 00:34:25,172
Speaker 4: announced these figures and then they ran the gang story

729
00:34:25,213 --> 00:34:28,133
Speaker 4: and we mentioned your Facebook post, But what was your

730
00:34:28,133 --> 00:34:30,333
Speaker 4: biggest issue with the way that was presented?

731
00:34:31,173 --> 00:34:33,453
Speaker 18: Well, so for me, we have a huge opportunity in

732
00:34:33,453 --> 00:34:36,333
Speaker 18: our country. When you see what's happening around the world,

733
00:34:36,373 --> 00:34:39,172
Speaker 18: and you know the geopolitical tensions and the conflict, and

734
00:34:39,533 --> 00:34:42,133
Speaker 18: we're living in a world of disinformation and misinformation, we

735
00:34:42,213 --> 00:34:44,773
Speaker 18: have a huge opportunity in our country to do things differently,

736
00:34:44,813 --> 00:34:48,773
Speaker 18: and that is engaged in debate with one another respectfully.

737
00:34:49,973 --> 00:34:52,853
Speaker 18: And you know, we have a strong system in New

738
00:34:52,933 --> 00:34:55,133
Speaker 18: Zealand because we have the fourth estate, the media, which

739
00:34:55,253 --> 00:34:57,613
Speaker 18: got a very important role. We've got our judiciary, and

740
00:34:57,653 --> 00:35:00,053
Speaker 18: we've got our executive, we've got in our Parliament.

741
00:35:00,333 --> 00:35:01,973
Speaker 2: And they all have an important role to play.

742
00:35:01,973 --> 00:35:05,293
Speaker 18: But when one of them starts to be perceived by

743
00:35:05,293 --> 00:35:08,973
Speaker 18: the public has not been balanced and not doing job properly.

744
00:35:09,013 --> 00:35:10,252
Speaker 18: And I think that when you look at the one

745
00:35:10,293 --> 00:35:13,053
Speaker 18: News article last night, there was that was clearly an

746
00:35:13,093 --> 00:35:15,893
Speaker 18: example of that. And I have to say in all

747
00:35:15,973 --> 00:35:18,613
Speaker 18: fairness and huge acknowledgment and respect to TV one as

748
00:35:18,653 --> 00:35:21,493
Speaker 18: they called me today and they apologized for the way

749
00:35:21,533 --> 00:35:23,172
Speaker 18: that they dealt with and ran that story. And my

750
00:35:23,173 --> 00:35:25,533
Speaker 18: message to them, quite simply was if you want to

751
00:35:25,573 --> 00:35:29,173
Speaker 18: maintain public confidence, just engage in balanced journalism. We're not

752
00:35:29,213 --> 00:35:31,933
Speaker 18: asking for any favors, but you shouldn't be a mouthpiece

753
00:35:31,933 --> 00:35:32,813
Speaker 18: for the opposition either.

754
00:35:33,013 --> 00:35:33,813
Speaker 2: M hm.

755
00:35:33,853 --> 00:35:36,213
Speaker 18: You know, just engage in balanced journalism. That's all the

756
00:35:36,253 --> 00:35:37,693
Speaker 18: public want to see.

757
00:35:37,453 --> 00:35:39,813
Speaker 3: Why do you think the national broadcaster would choose to

758
00:35:39,813 --> 00:35:42,853
Speaker 3: be unbalanced on a situation? Do you think it's accidental?

759
00:35:45,053 --> 00:35:45,453
Speaker 2: Ah?

760
00:35:45,533 --> 00:35:49,413
Speaker 18: You know what, that's that's a really good question, and Uh,

761
00:35:51,133 --> 00:35:54,652
Speaker 18: the simple answer is, guys, I don't know, but I

762
00:35:54,693 --> 00:35:58,212
Speaker 18: think that I think that most kiwis are smart enough

763
00:35:58,253 --> 00:36:01,293
Speaker 18: and they work it out and and but I think

764
00:36:01,333 --> 00:36:03,813
Speaker 18: that there has been definitely a problem around a lack

765
00:36:03,853 --> 00:36:09,053
Speaker 18: of balance journalism and a clear bias. And I hope

766
00:36:09,053 --> 00:36:11,212
Speaker 18: that that changes because we're not asking to be cut

767
00:36:11,253 --> 00:36:15,573
Speaker 18: any slack, not asking for any favors. We're just asking

768
00:36:15,613 --> 00:36:18,893
Speaker 18: for a fear go and balanced journalism and let keywis

769
00:36:18,933 --> 00:36:20,853
Speaker 18: have that as well, so they could be properly informed

770
00:36:21,013 --> 00:36:22,453
Speaker 18: and make their decisions based on that.

771
00:36:23,013 --> 00:36:25,573
Speaker 3: Now, Minister, just quickly before we go to the ads,

772
00:36:25,573 --> 00:36:27,933
Speaker 3: because we're always backed up by ads here. You know,

773
00:36:28,973 --> 00:36:32,173
Speaker 3: they're coming in strongly. So there's still one hundred and

774
00:36:32,173 --> 00:36:36,493
Speaker 3: thirty six thousand, you know, victims of crime. Yeah, and

775
00:36:36,533 --> 00:36:39,093
Speaker 3: that's so how can we go of that number?

776
00:36:39,693 --> 00:36:39,813
Speaker 6: Now?

777
00:36:39,933 --> 00:36:41,613
Speaker 18: There's a lot, still a long way to go, guys,

778
00:36:41,613 --> 00:36:45,133
Speaker 18: and you know, we're certainly not resiling from that. And

779
00:36:45,173 --> 00:36:47,213
Speaker 18: it's tough work, but we committed to it, and we

780
00:36:47,333 --> 00:36:50,013
Speaker 18: just got to keep doing what we're doing and listen

781
00:36:50,053 --> 00:36:51,853
Speaker 18: to our front line, the people on the front line,

782
00:36:51,853 --> 00:36:53,733
Speaker 18: and get feedback from them in terms of how we

783
00:36:53,773 --> 00:36:56,293
Speaker 18: can look for continual improvement and support them from government

784
00:36:56,373 --> 00:36:59,573
Speaker 18: and just keep moving in that direction. And we should

785
00:36:59,573 --> 00:37:02,213
Speaker 18: be positive. The sun's outshining. We live in a beautiful country.

786
00:37:03,093 --> 00:37:05,053
Speaker 18: You know, we've we've come through a really tough period

787
00:37:05,093 --> 00:37:07,333
Speaker 18: in the last couple of years. But I actually think

788
00:37:07,373 --> 00:37:08,733
Speaker 18: that there's light at the end of the time. We

789
00:37:08,933 --> 00:37:10,173
Speaker 18: were moving in the right direction.

790
00:37:10,373 --> 00:37:13,293
Speaker 4: Yeap, nice way to finish, Police Minister, Mark Mitchell, thank

791
00:37:13,293 --> 00:37:15,293
Speaker 4: you very much for joining us. We'll catch up again soon.

792
00:37:15,773 --> 00:37:17,093
Speaker 2: Hey, thanks for having me on. Guys.

793
00:37:17,253 --> 00:37:19,853
Speaker 4: That is Mark Mitchell back very shortly. It is seven

794
00:37:19,893 --> 00:37:20,212
Speaker 4: to two.

795
00:37:21,373 --> 00:37:24,973
Speaker 1: Matt Heath Taylor Adams taking your calls on eight hundred

796
00:37:24,973 --> 00:37:27,573
Speaker 1: and eighty ten eighty. It's Matt Heath and Tyler Adams

797
00:37:27,653 --> 00:37:29,053
Speaker 1: afternoons news talks.

798
00:37:29,253 --> 00:37:31,533
Speaker 4: B four to two.

799
00:37:31,813 --> 00:37:34,813
Speaker 3: Ballards with bollards were funded by the last government. Luxon

800
00:37:34,853 --> 00:37:38,893
Speaker 3: doesn't acknowledge bollards. That's what's reduced rams raids, random raids,

801
00:37:39,133 --> 00:37:41,013
Speaker 3: says this text. But I'm not sure about that. I'm

802
00:37:41,053 --> 00:37:44,213
Speaker 3: not sure whether we're getting I was aually about to

803
00:37:44,213 --> 00:37:45,973
Speaker 3: say something silly. Are we getting a lot of cars

804
00:37:46,053 --> 00:37:49,453
Speaker 3: driving into bollards? If you'll get the stats about it?

805
00:37:49,533 --> 00:37:52,773
Speaker 3: But no, bollards definitely, do stop ram raids absolutely or

806
00:37:52,813 --> 00:37:55,133
Speaker 3: make them much harder. And the sixer says, what a

807
00:37:55,373 --> 00:37:59,613
Speaker 3: stupid question? Matt to Mark Mitchell, you really asked why

808
00:37:59,733 --> 00:38:03,093
Speaker 3: one news running a biased report? Are you an idiot? Okay?

809
00:38:03,573 --> 00:38:05,373
Speaker 3: They hate the government and want labor to win? What

810
00:38:05,413 --> 00:38:07,773
Speaker 3: an idiot? If you don't know that? What a stupid question?

811
00:38:07,853 --> 00:38:10,453
Speaker 4: Okay, well, okay, lot a lot of anger in that text.

812
00:38:11,453 --> 00:38:13,533
Speaker 3: Mark Mitchell said it was a good best just asking questions.

813
00:38:13,613 --> 00:38:15,133
Speaker 4: Yeah, thank you very much, a.

814
00:38:15,173 --> 00:38:18,733
Speaker 3: Great that's what you've had. Love to hear from all

815
00:38:18,773 --> 00:38:18,973
Speaker 3: of you.

816
00:38:19,093 --> 00:38:21,493
Speaker 4: Yes, we do a great discussion. Thank you to everyone

817
00:38:21,533 --> 00:38:24,093
Speaker 4: who called in text. Coming up after two o'clock. The

818
00:38:24,133 --> 00:38:26,533
Speaker 4: plant based meat industry is in a hell of a

819
00:38:26,573 --> 00:38:29,053
Speaker 4: lot of trouble. Why we're going to break that down for.

820
00:38:29,013 --> 00:38:32,613
Speaker 10: You next talking with you all afternoon.

821
00:38:32,773 --> 00:38:36,493
Speaker 1: It's Matt Heath and Tyler Adams Afternoons with Scota News

822
00:38:36,533 --> 00:38:37,252
Speaker 1: Talk sat Beat.

823
00:38:38,373 --> 00:38:40,893
Speaker 4: Very good afternoon to you and happy Friday. I hope

824
00:38:40,893 --> 00:38:42,733
Speaker 4: you're having a great end of the week for many

825
00:38:42,773 --> 00:38:45,253
Speaker 4: of us. Great to have your company is always This

826
00:38:45,373 --> 00:38:47,973
Speaker 4: is going to be a fascinating discussion. So the plant

827
00:38:48,013 --> 00:38:51,573
Speaker 4: based fake meat sector once a Darling of investors is

828
00:38:51,613 --> 00:38:55,453
Speaker 4: now facing serious headwinds, and an in depth article in

829
00:38:55,493 --> 00:38:58,613
Speaker 4: The Economist it breaks down what is going wrong for

830
00:38:58,893 --> 00:39:01,253
Speaker 4: this fake meat industry. So the pace of business and

831
00:39:01,253 --> 00:39:04,853
Speaker 4: growth in the market has slowed considerably, ground to a

832
00:39:04,853 --> 00:39:07,493
Speaker 4: halt rarely, and some of the early enthusiasm around big

833
00:39:07,533 --> 00:39:10,373
Speaker 4: players like Beyond Meat has faded. When it first floated

834
00:39:10,413 --> 00:39:13,613
Speaker 4: on the Stock Exchange, Beyond Meat was worth four billion dollars.

835
00:39:13,693 --> 00:39:16,533
Speaker 4: Now it has slumped to four hundred million. That is

836
00:39:16,893 --> 00:39:19,613
Speaker 4: ninety percent of its value that's been lost. And it

837
00:39:19,693 --> 00:39:23,213
Speaker 4: argues as a range of reasons potentially on the pushback

838
00:39:23,453 --> 00:39:26,533
Speaker 4: and falling out of love with this fake meat industry.

839
00:39:26,933 --> 00:39:29,773
Speaker 4: One was the cost of meat, so previously meat was

840
00:39:29,813 --> 00:39:32,013
Speaker 4: more expensive, but now it turns out this fake meat

841
00:39:32,053 --> 00:39:35,413
Speaker 4: is more expensive than the real thing, and also the

842
00:39:35,493 --> 00:39:38,573
Speaker 4: health aspects that when you break it down, this staff

843
00:39:38,613 --> 00:39:42,173
Speaker 4: is effectively ultra processed. And there has been a renewed

844
00:39:42,213 --> 00:39:45,213
Speaker 4: push on eating whole again, which puts meat back on

845
00:39:45,253 --> 00:39:48,212
Speaker 4: the menu, real meat that is. But REDICKNNY. We're keen

846
00:39:48,253 --> 00:39:51,133
Speaker 4: to get your views on the fake meat industry. It

847
00:39:51,173 --> 00:39:53,893
Speaker 4: still exists in New Zealand. There's many fast food chains

848
00:39:53,893 --> 00:39:57,453
Speaker 4: that still utilize it. Hells, for example, still utilized beyond

849
00:39:57,493 --> 00:39:59,093
Speaker 4: meat on some of their I think they call it

850
00:39:59,093 --> 00:40:01,453
Speaker 4: the burger pizza of een and that before not too bad.

851
00:40:02,293 --> 00:40:04,453
Speaker 4: And there's also the likes of Burger King and some

852
00:40:04,533 --> 00:40:06,652
Speaker 4: others that use some of those fake meat products. So

853
00:40:06,653 --> 00:40:10,292
Speaker 4: if you plant based, yes, correct. So if you eat

854
00:40:10,453 --> 00:40:15,013
Speaker 4: this plant based fake meat, why what is in it

855
00:40:15,053 --> 00:40:17,493
Speaker 4: for you? Is it still on an ethical ground? Clearly

856
00:40:17,533 --> 00:40:21,933
Speaker 4: the health aspects of plant based meat are not adding

857
00:40:22,013 --> 00:40:23,733
Speaker 4: up the way that they were purported to be.

858
00:40:24,253 --> 00:40:27,053
Speaker 3: Do you want me to share my opinion on this?

859
00:40:27,173 --> 00:40:29,093
Speaker 4: I do, absolutely So.

860
00:40:30,093 --> 00:40:33,813
Speaker 3: Fake meat is sold as some kind of clean, healthy,

861
00:40:34,733 --> 00:40:41,573
Speaker 3: planet saving revolution. When am my humble opinion, Isn't it

862
00:40:41,613 --> 00:40:47,733
Speaker 3: more like ultra processed slurry Frankenstein in a lab packed

863
00:40:47,773 --> 00:40:50,093
Speaker 3: with a mile long list of additives just to mimic

864
00:40:50,373 --> 00:40:53,573
Speaker 3: and trade on the goodness of something healthy and real

865
00:40:53,613 --> 00:40:59,172
Speaker 3: that humans have eaten for millennia meat. The ingredient list

866
00:40:59,293 --> 00:41:04,093
Speaker 3: on these is so long and so complicated. It is like,

867
00:41:04,253 --> 00:41:07,413
Speaker 3: as I said before, chemistry exam if you need that

868
00:41:07,533 --> 00:41:12,493
Speaker 3: much in industrial wizardry to resemble a food, is it

869
00:41:12,533 --> 00:41:13,893
Speaker 3: even food?

870
00:41:15,173 --> 00:41:15,213
Speaker 6: No?

871
00:41:15,413 --> 00:41:19,653
Speaker 3: Maybe this this, this, this food doesn't it doesn't deserve

872
00:41:19,693 --> 00:41:25,373
Speaker 3: any kind of moral high ground and doesn't deserve the

873
00:41:25,453 --> 00:41:29,453
Speaker 3: name meat or any association with meat at all. I

874
00:41:29,493 --> 00:41:32,453
Speaker 3: would like to know who can defend this fake meat.

875
00:41:33,413 --> 00:41:36,413
Speaker 3: Do you know anyone that eats it? And, as I said,

876
00:41:36,773 --> 00:41:39,133
Speaker 3: should it even be called meat at all?

877
00:41:40,173 --> 00:41:40,253
Speaker 7: Oh?

878
00:41:42,093 --> 00:41:45,893
Speaker 3: Because it's not healthy for you. Yep, it's terrible for you.

879
00:41:45,933 --> 00:41:51,733
Speaker 3: It's ultra processed stuff. Right, Yes, it's not meat and

880
00:41:51,773 --> 00:41:55,333
Speaker 3: it's not good for the planet. So what's it there for?

881
00:41:55,733 --> 00:41:57,293
Speaker 3: What have we got it for? You know, if you

882
00:41:57,333 --> 00:42:00,213
Speaker 3: eat what you want, you have a bean patty, have

883
00:42:00,253 --> 00:42:02,253
Speaker 3: whatever you want, have a I'm a big fan of

884
00:42:02,253 --> 00:42:05,453
Speaker 3: a lental roast, yes, but I don't I love a

885
00:42:05,493 --> 00:42:08,172
Speaker 3: lentil roast. I don't serve up a lental roast and

886
00:42:08,333 --> 00:42:09,133
Speaker 3: a meat loaf.

887
00:42:09,213 --> 00:42:12,933
Speaker 4: Yeap. You'd lose a lot of friends if you did that.

888
00:42:12,973 --> 00:42:14,813
Speaker 4: Whether they say you don't make friends with sellads, I

889
00:42:14,853 --> 00:42:17,093
Speaker 4: mean there's a lot of truth of that. Sometimes eat what.

890
00:42:16,973 --> 00:42:20,533
Speaker 3: You like, drink what you like, but don't pretend that

891
00:42:20,573 --> 00:42:25,533
Speaker 3: this has anything at all to health or meat. And

892
00:42:25,573 --> 00:42:28,693
Speaker 3: it doesn't even have a moral hybrid ground because of

893
00:42:28,693 --> 00:42:30,652
Speaker 3: the amount of damage it does. I mean, you know,

894
00:42:31,373 --> 00:42:33,933
Speaker 3: just the amount of ingredients had been brought together. There's

895
00:42:33,973 --> 00:42:36,613
Speaker 3: sheer damage it does to the environment to bring everything

896
00:42:36,613 --> 00:42:38,093
Speaker 3: together to process this stuff.

897
00:42:38,413 --> 00:42:40,413
Speaker 4: Let me try and because I looked into this. So

898
00:42:40,493 --> 00:42:42,652
Speaker 4: here was the mission statement from Beyond Meat when it

899
00:42:42,693 --> 00:42:46,013
Speaker 4: first started, right and tell me where they've gone wrong, Matt, So,

900
00:42:46,173 --> 00:42:49,013
Speaker 4: Beyond Meat was started by a vegan. He didn't like

901
00:42:49,053 --> 00:42:51,253
Speaker 4: the idea of animal farming, so it was the ethical

902
00:42:51,253 --> 00:42:54,453
Speaker 4: point of view. Then he thought that the rural sector

903
00:42:54,493 --> 00:42:57,013
Speaker 4: and emissions were part of the problem, so he wanted

904
00:42:57,013 --> 00:43:00,212
Speaker 4: something that was not going to be problematic in terms

905
00:43:00,213 --> 00:43:03,333
Speaker 4: of emissions. Then he wanted something that would taste as

906
00:43:03,453 --> 00:43:06,733
Speaker 4: close to the real thing as possible to try and

907
00:43:06,813 --> 00:43:10,013
Speaker 4: convince meat eaters that his product was going to be

908
00:43:10,333 --> 00:43:13,693
Speaker 4: just as good. Clearly, looking at the market, he's failed

909
00:43:13,733 --> 00:43:15,933
Speaker 4: on a few of those elements. But does that make

910
00:43:16,013 --> 00:43:18,093
Speaker 4: some justification on what he was trying to do That

911
00:43:18,173 --> 00:43:21,013
Speaker 4: if he generally thought that what he was doing was

912
00:43:21,053 --> 00:43:23,253
Speaker 4: going to be sustainable, was going to be good for

913
00:43:23,293 --> 00:43:26,973
Speaker 4: the planet, and was going to be more ethical on

914
00:43:27,053 --> 00:43:30,533
Speaker 4: his ideology for animals, then it was worth a crack.

915
00:43:31,773 --> 00:43:34,773
Speaker 3: Yeah, But as soon as you start bringing in that

916
00:43:34,933 --> 00:43:39,453
Speaker 3: many different ingredients from different places into one spot and

917
00:43:39,573 --> 00:43:42,453
Speaker 3: you know the amount of absolutely Like so if you

918
00:43:42,453 --> 00:43:44,813
Speaker 3: talk about, you know, people talk about, you know, like

919
00:43:45,773 --> 00:43:48,053
Speaker 3: certain plants are good for the animals, it's not. If

920
00:43:48,093 --> 00:43:51,653
Speaker 3: you absolutely clear and kill every inselect in the area.

921
00:43:51,773 --> 00:43:53,533
Speaker 3: You know, you can go to parts of the United

922
00:43:53,573 --> 00:43:57,652
Speaker 3: States of America where you've got places the size of

923
00:43:57,693 --> 00:44:01,573
Speaker 3: the South Island that are just growing one kind of grain.

924
00:44:03,173 --> 00:44:06,293
Speaker 3: To make that work, you have to kill every single

925
00:44:06,653 --> 00:44:08,212
Speaker 3: living thing in that.

926
00:44:08,653 --> 00:44:15,413
Speaker 4: Poor worms, worms, crickets, squirrels, the poor squirrel o beloved ratties. Yeah,

927
00:44:16,013 --> 00:44:17,693
Speaker 4: you get rid of the rat. No one's going to

928
00:44:17,733 --> 00:44:18,732
Speaker 4: miss the rats too much.

929
00:44:19,333 --> 00:44:23,693
Speaker 3: It's not like it's some kind of beautiful rain forest

930
00:44:23,893 --> 00:44:28,933
Speaker 3: with you know, tweeting birds and you know, happy happy

931
00:44:28,933 --> 00:44:33,013
Speaker 3: woodland creatures bouncing around in the areas that they create

932
00:44:33,053 --> 00:44:35,413
Speaker 3: the ingredients to make these kind of things. Yeah, No,

933
00:44:35,533 --> 00:44:39,893
Speaker 3: it has been stripped, mined, it has been stripped of everything.

934
00:44:40,453 --> 00:44:44,373
Speaker 3: Whereas you take New Zealand, you're growing out our lovely

935
00:44:44,413 --> 00:44:47,533
Speaker 3: red meat, what do you get? You get a happy

936
00:44:47,573 --> 00:44:50,973
Speaker 3: beast yep walking around in the most beautiful country in

937
00:44:51,013 --> 00:44:55,053
Speaker 3: the world, green pastures. Sure, at some point they get

938
00:44:55,053 --> 00:44:58,013
Speaker 3: brutally slaughtered, but leading up to that it's very good

939
00:44:58,013 --> 00:44:59,013
Speaker 3: and very natural.

940
00:44:58,693 --> 00:45:00,453
Speaker 4: And then you've got a happy met as you're eating

941
00:45:00,493 --> 00:45:03,213
Speaker 4: it's behind. Oh eight hundred eighty ten eighty is the

942
00:45:03,293 --> 00:45:06,253
Speaker 4: number to call. So if you eat this particular product,

943
00:45:06,493 --> 00:45:09,172
Speaker 4: why what is the ration now for you? You enjoy it?

944
00:45:09,693 --> 00:45:12,373
Speaker 4: And do you think that a lot of these companies

945
00:45:12,413 --> 00:45:14,692
Speaker 4: should just take meat out of the name? Nine two

946
00:45:14,773 --> 00:45:17,333
Speaker 4: ninety two is the text as well.

947
00:45:17,093 --> 00:45:18,813
Speaker 3: The sixers is I'm a chef and I can and

948
00:45:18,853 --> 00:45:21,333
Speaker 3: I complain. I'm a chef and I complain every day.

949
00:45:21,373 --> 00:45:24,093
Speaker 3: How can New Zealand allow so much processed foods onto

950
00:45:24,093 --> 00:45:24,613
Speaker 3: our shelves?

951
00:45:24,613 --> 00:45:24,773
Speaker 6: Look?

952
00:45:24,813 --> 00:45:27,613
Speaker 3: How many products such as chicken patties from the supermarket

953
00:45:27,693 --> 00:45:30,013
Speaker 3: has only fifty one percent chicken in the end product

954
00:45:30,213 --> 00:45:33,652
Speaker 3: and that's justified as chicken? Thanks Chris. I mean, yeah,

955
00:45:33,853 --> 00:45:36,253
Speaker 3: great point. It is a good point. I mean not

956
00:45:36,693 --> 00:45:41,172
Speaker 3: all meat based products, aren't. I mean so many meat

957
00:45:41,333 --> 00:45:44,773
Speaker 3: meat based products are also incredibly ultra processed and have

958
00:45:44,813 --> 00:45:48,133
Speaker 3: a lot of other ingredients in them that aren't just pure, healthy,

959
00:45:48,573 --> 00:45:50,093
Speaker 3: smiling livestock.

960
00:45:50,293 --> 00:45:53,093
Speaker 4: So true, fourteen pass two taking your calls, Oh eight

961
00:45:53,173 --> 00:45:55,893
Speaker 4: hundred and eighty ten eighty, She's story back in the mint.

962
00:45:56,253 --> 00:46:00,853
Speaker 1: Wow, your home of afternoon talk Mad Heathen Tyler Adams

963
00:46:00,853 --> 00:46:04,172
Speaker 1: afternoons call, Oh eight hundred eighty ten eighty US.

964
00:46:04,133 --> 00:46:08,573
Speaker 4: Talk said be news talks there b seventeen pass too.

965
00:46:08,813 --> 00:46:11,453
Speaker 4: So the plant based fake meat industry is in a

966
00:46:11,453 --> 00:46:14,293
Speaker 4: whole lot of trouble sales and fallen off a cliff.

967
00:46:14,693 --> 00:46:17,293
Speaker 4: So if you do eat these products, why what is

968
00:46:17,293 --> 00:46:20,253
Speaker 4: in it for you? And what would get to make

969
00:46:20,333 --> 00:46:21,373
Speaker 4: you to eat this sort of product?

970
00:46:21,453 --> 00:46:21,573
Speaker 6: Hi?

971
00:46:21,653 --> 00:46:25,093
Speaker 3: Boys? Even real meat contains chemicals. Supermarket meat often contains

972
00:46:25,093 --> 00:46:28,533
Speaker 3: added chemicals, particularly in process items like bacon and sausages,

973
00:46:28,533 --> 00:46:33,653
Speaker 3: which frequently contains sodium, nitrates, and phosphates for preservation and color.

974
00:46:33,693 --> 00:46:36,253
Speaker 3: Even fresh meat may be treated with carbon monoxide or

975
00:46:36,253 --> 00:46:40,652
Speaker 3: gases to maintain a bright red fresh appearance. I think

976
00:46:40,693 --> 00:46:43,893
Speaker 3: for vegans vegetarians that might be used to add interest

977
00:46:43,933 --> 00:46:45,733
Speaker 3: to the food, not used all the time.

978
00:46:45,773 --> 00:46:46,013
Speaker 2: Though.

979
00:46:46,373 --> 00:46:49,373
Speaker 3: The sunfed chicken at Saint Peter's Sushi was great, but

980
00:46:49,453 --> 00:46:53,973
Speaker 3: sadly that has gone under two. Okay, great text, Donna,

981
00:46:54,053 --> 00:46:56,093
Speaker 3: thank you for your call. What do you think about

982
00:46:56,093 --> 00:46:56,373
Speaker 3: all this?

983
00:46:57,413 --> 00:46:57,533
Speaker 19: Well?

984
00:46:57,573 --> 00:47:00,172
Speaker 20: It was interesting. We had a friend visit at our

985
00:47:00,253 --> 00:47:03,453
Speaker 20: beach house at Christmas and she arrived with her fake

986
00:47:03,533 --> 00:47:05,493
Speaker 20: meat while she called it meat, and then she laughed

987
00:47:05,493 --> 00:47:07,853
Speaker 20: and said fake meat. And I said, to hell, you know,

988
00:47:07,893 --> 00:47:10,373
Speaker 20: what's that that? And she said, I don't actually know. Oh,

989
00:47:10,413 --> 00:47:13,293
Speaker 20: it's kind of interesting. So looked at the back of

990
00:47:13,333 --> 00:47:16,453
Speaker 20: the packet and not one thing I could recognize, a

991
00:47:16,453 --> 00:47:20,293
Speaker 20: lot of numbers and nothing, nothing to recognize. And so

992
00:47:20,373 --> 00:47:23,413
Speaker 20: I said to her, because extremely interested, exactly what you're saying.

993
00:47:23,413 --> 00:47:25,813
Speaker 20: Why do people eat it? And she said, you know that.

994
00:47:26,093 --> 00:47:28,573
Speaker 20: The thing for me is I love the taste of meat,

995
00:47:29,653 --> 00:47:31,973
Speaker 20: but I can't bear the thought that animals die to

996
00:47:33,053 --> 00:47:35,733
Speaker 20: create it. So I buy this meat because it tastes

997
00:47:35,773 --> 00:47:37,973
Speaker 20: like meat, but you know, nothing had to die. And

998
00:47:37,973 --> 00:47:41,013
Speaker 20: then that was their reasoning, which I thought was I mean,

999
00:47:41,013 --> 00:47:42,493
Speaker 20: I guess that's what a lot of people are like.

1000
00:47:42,573 --> 00:47:47,212
Speaker 3: But yeah, it's hard to push back against that because

1001
00:47:47,213 --> 00:47:49,813
Speaker 3: that's there. You know, anyone can eat with you. That's

1002
00:47:49,853 --> 00:47:51,533
Speaker 3: their moral choice. They don't want to eat meat, but

1003
00:47:51,573 --> 00:47:55,253
Speaker 3: they still want them. Yeah, I mean that she.

1004
00:47:55,293 --> 00:47:57,133
Speaker 20: Wanted the taste of it. Yeah, and that was that

1005
00:47:57,213 --> 00:47:58,733
Speaker 20: there was as simple as it was. And when I

1006
00:47:58,773 --> 00:48:01,013
Speaker 20: read her what we looked at it together and she

1007
00:48:01,173 --> 00:48:03,893
Speaker 20: was like, yeah, no, it doesn't sound that great, but Oh, well,

1008
00:48:03,893 --> 00:48:05,733
Speaker 20: it's still my taste of meat, and that's that.

1009
00:48:06,213 --> 00:48:08,172
Speaker 3: Yeah. I mean, as long as she's start saying it's

1010
00:48:08,173 --> 00:48:11,653
Speaker 3: how fee or good for the planet.

1011
00:48:12,613 --> 00:48:15,173
Speaker 20: No, she was saying neither of those things, which is

1012
00:48:15,213 --> 00:48:17,973
Speaker 20: what I thought was really interesting. Yeah, but yeah, it

1013
00:48:18,053 --> 00:48:20,133
Speaker 20: did to actually taste like meat. I was surprised.

1014
00:48:20,253 --> 00:48:21,613
Speaker 4: I didn't mind tas like meat.

1015
00:48:21,853 --> 00:48:22,013
Speaker 6: You know.

1016
00:48:22,053 --> 00:48:24,333
Speaker 4: As I mentioned before, I've had the Hell's Pizza Burger

1017
00:48:24,533 --> 00:48:26,772
Speaker 4: pizza a couple of times, and that's got the beyond meat.

1018
00:48:26,813 --> 00:48:28,893
Speaker 4: It's not she's too bad, but you can tell the difference.

1019
00:48:28,893 --> 00:48:31,293
Speaker 4: We did a we tested with proper mints. Then they're

1020
00:48:31,333 --> 00:48:34,973
Speaker 4: beyond meat, beyond meat, super salty soup. But you know

1021
00:48:35,053 --> 00:48:36,973
Speaker 4: you're meeting a pizza. I know it's not good for me,

1022
00:48:37,453 --> 00:48:39,093
Speaker 4: so it doesn't really matter if it's beyond meat or

1023
00:48:39,133 --> 00:48:39,493
Speaker 4: real meat.

1024
00:48:39,493 --> 00:48:42,853
Speaker 20: It's still going to make me fair exactly exactly.

1025
00:48:42,933 --> 00:48:43,173
Speaker 2: You know.

1026
00:48:43,373 --> 00:48:46,293
Speaker 20: Interesting though, Yeah, good discussion. I'll look forward to any

1027
00:48:46,333 --> 00:48:46,893
Speaker 20: one ounces.

1028
00:48:47,013 --> 00:48:49,213
Speaker 4: Yeah, got on your donna, thank you very much. I

1029
00:48:49,213 --> 00:48:52,373
Speaker 4: mean the prices aspect of it that confuses me because

1030
00:48:52,373 --> 00:48:54,373
Speaker 4: it is a lot more expensive than meat. When like

1031
00:48:54,573 --> 00:48:56,333
Speaker 4: just that example, I'm not having a go at Hell's

1032
00:48:56,333 --> 00:48:58,253
Speaker 4: Love House but you have to paint it for two

1033
00:48:58,333 --> 00:49:00,133
Speaker 4: bucks for the fake meat.

1034
00:49:00,373 --> 00:49:00,573
Speaker 2: Yeah.

1035
00:49:00,573 --> 00:49:03,733
Speaker 3: But I'm now thinking about the hypocrisy of my my

1036
00:49:03,933 --> 00:49:07,933
Speaker 3: stance because as that text I read before, a lot

1037
00:49:07,933 --> 00:49:11,652
Speaker 3: of the meat that I eat is heavily processed and

1038
00:49:11,733 --> 00:49:14,973
Speaker 3: so yet, but to be fair, it's not making the

1039
00:49:14,973 --> 00:49:21,973
Speaker 3: same claims of planet saving or various claims that the

1040
00:49:22,013 --> 00:49:25,333
Speaker 3: plant based meats and you know, the processed fake meats

1041
00:49:25,373 --> 00:49:29,652
Speaker 3: are making. But yeah, I mean, is it possible to

1042
00:49:29,693 --> 00:49:33,253
Speaker 3: eat because I'd like to eat full whole foods, Absolutely,

1043
00:49:33,293 --> 00:49:35,253
Speaker 3: no doubt. That would be better for you. Right if

1044
00:49:35,293 --> 00:49:43,093
Speaker 3: you eat some broccoli and some bloody meat, some potato,

1045
00:49:43,893 --> 00:49:46,773
Speaker 3: and it's all whole foods, there's.

1046
00:49:46,693 --> 00:49:47,853
Speaker 4: Clean as the driven snow.

1047
00:49:47,893 --> 00:49:50,172
Speaker 3: That would be very good for you if you could

1048
00:49:50,213 --> 00:49:52,013
Speaker 3: do that. But is anyone out there doing that? Is

1049
00:49:52,013 --> 00:49:54,773
Speaker 3: anyone out there living a full whole food diet? Because

1050
00:49:54,813 --> 00:49:59,973
Speaker 3: before I abuse the fake meat people for the Frankensteinian diets,

1051
00:50:00,253 --> 00:50:02,013
Speaker 3: you know, quite a big what's that thing that you're

1052
00:50:02,013 --> 00:50:04,053
Speaker 3: always talking that you eat the chicken wounders?

1053
00:50:04,453 --> 00:50:07,333
Speaker 4: Oh yeah, the chicken petties, the crumbed chicken petties. Yeah,

1054
00:50:07,333 --> 00:50:08,573
Speaker 4: I don't know how much chicken is that?

1055
00:50:08,693 --> 00:50:08,893
Speaker 2: Yeah?

1056
00:50:08,973 --> 00:50:13,573
Speaker 4: Arguably not much ultra process. The ultra process. Jennie, how

1057
00:50:13,613 --> 00:50:14,453
Speaker 4: are you this afternoon?

1058
00:50:15,213 --> 00:50:17,173
Speaker 21: I'm great, thank you, How are you good?

1059
00:50:17,573 --> 00:50:20,493
Speaker 4: So there's there's fake meat, your love lover or a hater.

1060
00:50:21,613 --> 00:50:26,493
Speaker 21: I'm a hater. So I'm a hater for various reasons.

1061
00:50:27,653 --> 00:50:30,732
Speaker 21: So I'm celiac, which means I can't have anything that

1062
00:50:30,733 --> 00:50:34,692
Speaker 21: it has gluten in us. And ninety times to send

1063
00:50:34,733 --> 00:50:39,013
Speaker 21: to the supermarket product have glutenant. They use the packers

1064
00:50:39,053 --> 00:50:43,773
Speaker 21: and fillers. So when you look at labels they processed,

1065
00:50:45,853 --> 00:50:49,893
Speaker 21: the more ingredients in them, the worst it is for you.

1066
00:50:51,173 --> 00:50:53,973
Speaker 21: So you take an egg, an egg is one ingredient

1067
00:50:54,213 --> 00:50:57,893
Speaker 21: and the egg is an egg. A carrot is a carrot.

1068
00:50:58,333 --> 00:51:02,853
Speaker 21: A piece of steak is a piece of steak. So

1069
00:51:03,013 --> 00:51:06,172
Speaker 21: those are all stakes for me to eat. But when

1070
00:51:06,213 --> 00:51:10,173
Speaker 21: you have to read a label and three or four ingredients,

1071
00:51:10,533 --> 00:51:13,252
Speaker 21: they're getting up there and it are actually not good

1072
00:51:13,293 --> 00:51:17,053
Speaker 21: for you. So eighty percent of the supermarket food is

1073
00:51:17,093 --> 00:51:21,573
Speaker 21: filled with fillers and packers, and we're doing more harm

1074
00:51:21,813 --> 00:51:26,013
Speaker 21: to the planet for those process products, and we are

1075
00:51:26,133 --> 00:51:28,413
Speaker 21: if we went back to eating meat and vege.

1076
00:51:28,733 --> 00:51:30,973
Speaker 3: So what does your diet look like as the celiac?

1077
00:51:31,053 --> 00:51:33,413
Speaker 3: Because you know, there's people that there's always people blasting

1078
00:51:33,413 --> 00:51:36,093
Speaker 3: on and saying I'm gluten intolerant, and mainly they're just

1079
00:51:36,493 --> 00:51:38,813
Speaker 3: read it on tacktok and think that they are. But

1080
00:51:38,933 --> 00:51:42,213
Speaker 3: Celiac is a serious issue. So what is your What

1081
00:51:42,293 --> 00:51:43,973
Speaker 3: does your diet look like? Jennis?

1082
00:51:45,013 --> 00:51:50,613
Speaker 21: So my diet is great because I can cough. I

1083
00:51:50,693 --> 00:51:53,933
Speaker 21: feel sorry for people that can't cop because I can't

1084
00:51:54,053 --> 00:51:57,813
Speaker 21: just go to the supermarket and buy a packet of

1085
00:51:57,893 --> 00:52:00,853
Speaker 21: stuff for dinner like Joe Brobs.

1086
00:52:00,613 --> 00:52:01,692
Speaker 5: Can be running late.

1087
00:52:03,053 --> 00:52:06,493
Speaker 21: I can't eat McDonalds. I can't eat any of those

1088
00:52:06,573 --> 00:52:12,053
Speaker 21: sorts of things. They've all got gluten in them, which

1089
00:52:12,133 --> 00:52:16,613
Speaker 21: is really good for me. Just for instance, I've been

1090
00:52:16,653 --> 00:52:19,013
Speaker 21: diagnosed with celiac, so it's the next level up.

1091
00:52:18,933 --> 00:52:21,453
Speaker 12: There from just being gluten intolerance.

1092
00:52:23,013 --> 00:52:27,493
Speaker 20: And in the last year I've lost nine kgs.

1093
00:52:27,533 --> 00:52:27,772
Speaker 4: Wow.

1094
00:52:28,013 --> 00:52:31,533
Speaker 3: Well, so your Celiac disease, annoying as it is, has

1095
00:52:31,613 --> 00:52:34,453
Speaker 3: actually been a bit of a boon because it's forced

1096
00:52:34,493 --> 00:52:36,573
Speaker 3: you to eat the diet that we're all told we're

1097
00:52:36,573 --> 00:52:38,373
Speaker 3: supposed to eat, which is a whole food diet.

1098
00:52:39,453 --> 00:52:39,692
Speaker 6: Right.

1099
00:52:40,733 --> 00:52:45,973
Speaker 21: The only problem with that is your process food in

1100
00:52:46,013 --> 00:52:53,693
Speaker 21: the supermarket, like your meat substitute. It's got so many

1101
00:52:53,773 --> 00:52:56,373
Speaker 21: products in there that they used as fillers and packers,

1102
00:52:56,413 --> 00:53:00,573
Speaker 21: and when they actually have to add products in the

1103
00:53:00,813 --> 00:53:09,772
Speaker 21: taste so that it tastes like something that's really not good.

1104
00:53:11,253 --> 00:53:13,613
Speaker 4: Yeah, well it sounds like it's working out well for you, Janie.

1105
00:53:13,693 --> 00:53:15,933
Speaker 4: Thank you very much for your call. Oh, one hundred

1106
00:53:15,973 --> 00:53:17,093
Speaker 4: and eighty ten eighty so.

1107
00:53:18,093 --> 00:53:20,453
Speaker 3: For mat yep, so ken, do you reckon that you

1108
00:53:20,453 --> 00:53:21,733
Speaker 3: could go fully whole food?

1109
00:53:21,813 --> 00:53:24,773
Speaker 4: No? No, no way, no. I'd give it a good crack,

1110
00:53:25,053 --> 00:53:26,653
Speaker 4: but I'd fail pretty quickly.

1111
00:53:26,693 --> 00:53:28,933
Speaker 3: But if you so, someone saying that with meat, right,

1112
00:53:29,053 --> 00:53:31,172
Speaker 3: So someone are saying that you know your supermarket meet

1113
00:53:31,253 --> 00:53:33,093
Speaker 3: has some stuff, but if I go in and buy

1114
00:53:34,413 --> 00:53:40,093
Speaker 3: some steak, right yep, then that's whole food. So I mean,

1115
00:53:40,173 --> 00:53:42,213
Speaker 3: what what what? What are people saying would be in

1116
00:53:42,253 --> 00:53:44,573
Speaker 3: a steak? If you buy go to the meat part

1117
00:53:44,573 --> 00:53:47,173
Speaker 3: of the supermarket, get the tray, it's got some steak

1118
00:53:47,253 --> 00:53:50,893
Speaker 3: on it. You're looking through the glad wrap or whatever

1119
00:53:50,933 --> 00:53:56,573
Speaker 3: the yep cel phane at that meat. Yes, that's whole food,

1120
00:53:57,253 --> 00:53:59,652
Speaker 3: you'd think. So, I mean there might be something in there,

1121
00:53:59,893 --> 00:54:03,613
Speaker 3: might be a little bit of a jiggery pokery in there, potentially,

1122
00:54:04,253 --> 00:54:07,933
Speaker 3: but I mean it's nothing on a you know, you

1123
00:54:07,973 --> 00:54:10,252
Speaker 3: know what you one of your chicken patties or whatever

1124
00:54:10,293 --> 00:54:12,692
Speaker 3: that you know, highly processed fish fingers or whatever.

1125
00:54:12,893 --> 00:54:15,413
Speaker 4: Your steak might have two ingredients rather than fifty two

1126
00:54:15,813 --> 00:54:18,613
Speaker 4: oh one hundred eighty ten eighty. Is that number to call?

1127
00:54:19,173 --> 00:54:22,093
Speaker 4: So if you eat this fake burger meat product, why

1128
00:54:22,133 --> 00:54:24,053
Speaker 4: what do you get out of it? And how hard

1129
00:54:24,133 --> 00:54:26,813
Speaker 4: is it to actually eat whole food and buy whole food?

1130
00:54:26,893 --> 00:54:28,813
Speaker 4: Can you trust what you get in your supermarket when

1131
00:54:28,853 --> 00:54:31,613
Speaker 4: it comes to meat products. Someone on the line at

1132
00:54:31,613 --> 00:54:33,453
Speaker 4: the moment is Andy. He works in the meat industry,

1133
00:54:33,493 --> 00:54:35,573
Speaker 4: so we might ask him that very question. It is

1134
00:54:35,653 --> 00:54:36,893
Speaker 4: twenty five past two.

1135
00:54:40,613 --> 00:54:43,973
Speaker 1: Matt Heath and Tyler Adams afternoons call oh eight hundred

1136
00:54:44,053 --> 00:54:46,213
Speaker 1: eighty ten eighty on Youth Talk, ZB.

1137
00:54:46,413 --> 00:54:49,613
Speaker 3: John says, we live a fairly whole food's diet. Most

1138
00:54:49,613 --> 00:54:52,172
Speaker 3: of our vegetables come out of the White's garden. Our

1139
00:54:52,253 --> 00:54:55,813
Speaker 3: beef comes from our home killed stairs, and similar with

1140
00:54:55,853 --> 00:54:58,213
Speaker 3: our sheep. We also have a few spots where we

1141
00:54:58,613 --> 00:55:02,133
Speaker 3: can go foraging for apples, plums and blackberries, which my

1142
00:55:02,333 --> 00:55:05,333
Speaker 3: wife makes into jams and preserves. Someone if this Texas

1143
00:55:05,333 --> 00:55:09,453
Speaker 3: from you, know the nineteen fifties come from back in time.

1144
00:55:09,973 --> 00:55:12,613
Speaker 3: We do have some supermarket bought foods and processed meats,

1145
00:55:12,613 --> 00:55:14,973
Speaker 3: but that's a very small percentage of our diet. How

1146
00:55:14,973 --> 00:55:19,493
Speaker 3: goods that? But yeah, some vegetables, you got some bloody home.

1147
00:55:19,413 --> 00:55:23,013
Speaker 4: Killums, some gems and preserves.

1148
00:55:23,453 --> 00:55:26,053
Speaker 3: I mean, that's the ultimate lifestyle. But if only I

1149
00:55:26,133 --> 00:55:28,733
Speaker 3: was eating from my own produce. Just this morning, some

1150
00:55:28,893 --> 00:55:31,093
Speaker 3: fig joas that had fallen on the lawn.

1151
00:55:31,213 --> 00:55:32,693
Speaker 4: Nice turned that into a nice jam.

1152
00:55:32,813 --> 00:55:34,573
Speaker 3: No, I just bit into.

1153
00:55:34,413 --> 00:55:37,933
Speaker 4: Them, Andy, mate. Now you work in the meat industry.

1154
00:55:39,053 --> 00:55:41,973
Speaker 13: I do work in the meat industry, working it for

1155
00:55:42,813 --> 00:55:46,893
Speaker 13: fifteen plus years so far, and you guys are right,

1156
00:55:46,893 --> 00:55:51,373
Speaker 13: there's lots of stuff out there headden in products. I

1157
00:55:51,453 --> 00:55:53,613
Speaker 13: worked for a company called first Light, and one thing

1158
00:55:53,693 --> 00:55:57,213
Speaker 13: we do is we grass feed all our animals. I

1159
00:55:57,253 --> 00:56:00,053
Speaker 13: know that might sound a little strange that you probably

1160
00:56:00,093 --> 00:56:01,253
Speaker 13: think everything's done like.

1161
00:56:01,253 --> 00:56:02,413
Speaker 6: That, but it's not.

1162
00:56:03,213 --> 00:56:05,733
Speaker 13: We don't put any antibiotics in our food if we

1163
00:56:06,453 --> 00:56:08,172
Speaker 13: If we do, we don't set up to you guys

1164
00:56:08,413 --> 00:56:12,252
Speaker 13: the supermarkets as steak or food, etc. And we don't

1165
00:56:12,293 --> 00:56:16,573
Speaker 13: put gluten in anything. We just put jerk quality meat

1166
00:56:16,613 --> 00:56:20,613
Speaker 13: in there and you get what you pay for, and

1167
00:56:21,293 --> 00:56:24,692
Speaker 13: to be honest, the difference between something terrible and bad

1168
00:56:24,693 --> 00:56:28,053
Speaker 13: for you and something from New Zealand that's grass fed

1169
00:56:28,413 --> 00:56:33,613
Speaker 13: might be two dollars fifty. So yeah, Look for myself,

1170
00:56:33,693 --> 00:56:36,093
Speaker 13: I read meat maybe twice a week. But what I

1171
00:56:36,173 --> 00:56:39,813
Speaker 13: do is I buy slightly better quality or I spend

1172
00:56:39,853 --> 00:56:42,293
Speaker 13: a little bit more and I get a far better

1173
00:56:42,373 --> 00:56:45,133
Speaker 13: quality product, and I know what's going into my mouth.

1174
00:56:45,893 --> 00:56:48,453
Speaker 3: Hey, when it comes to trickery, I see these videos

1175
00:56:48,493 --> 00:56:53,293
Speaker 3: online where people take different meats, like different minces and

1176
00:56:53,373 --> 00:56:58,093
Speaker 3: different bacons and different steaks, and they and then they

1177
00:56:58,173 --> 00:57:01,493
Speaker 3: show how much water is being basically injected into me.

1178
00:57:02,053 --> 00:57:04,173
Speaker 3: Is this what's happening? Like mince with some of the

1179
00:57:04,173 --> 00:57:06,933
Speaker 3: mints that you buy, is just pumped up with water

1180
00:57:07,013 --> 00:57:07,653
Speaker 3: to get the weiter.

1181
00:57:09,093 --> 00:57:09,293
Speaker 6: Look.

1182
00:57:09,573 --> 00:57:12,373
Speaker 13: I can't really comment on that too much. I don't

1183
00:57:12,373 --> 00:57:15,013
Speaker 13: know much about that. But one thing I do know

1184
00:57:15,613 --> 00:57:18,453
Speaker 13: is that with your imported meat or not so much

1185
00:57:18,573 --> 00:57:20,653
Speaker 13: red meat, but pork, a lot of it comes in

1186
00:57:21,493 --> 00:57:25,253
Speaker 13: and it's frozen and it's from overseas. What they do

1187
00:57:25,333 --> 00:57:28,533
Speaker 13: then is they defrost it and they do inject it

1188
00:57:28,573 --> 00:57:32,333
Speaker 13: with water and sometimes brine and other things like that.

1189
00:57:32,933 --> 00:57:35,333
Speaker 13: But I mean, one thing can be rest assured of.

1190
00:57:36,053 --> 00:57:38,133
Speaker 13: If anything is fresh on the shelf in the way,

1191
00:57:38,253 --> 00:57:40,933
Speaker 13: especially in the way of pork, you know it's New

1192
00:57:41,013 --> 00:57:46,213
Speaker 13: Zealand pork because anything coming into the country can't must

1193
00:57:46,253 --> 00:57:49,653
Speaker 13: be copped. So you'll find all imported pork's made into

1194
00:57:49,973 --> 00:57:53,773
Speaker 13: bacon ham. But some pieces like that fresh pork on

1195
00:57:53,813 --> 00:57:55,533
Speaker 13: the shelf is New Zealand pork.

1196
00:57:56,253 --> 00:57:59,893
Speaker 3: But it's disgusting. I find the idea of buying imported

1197
00:57:59,973 --> 00:58:03,773
Speaker 3: pork just disgusting. Yeah, exactly.

1198
00:58:03,853 --> 00:58:07,293
Speaker 13: But if you're eating bacon mat I'd be ninety five

1199
00:58:07,293 --> 00:58:09,893
Speaker 13: percent sure that's important to pork. And if it's han,

1200
00:58:10,333 --> 00:58:11,813
Speaker 13: there's a good chance it could be too.

1201
00:58:12,053 --> 00:58:14,173
Speaker 3: But there's no way I mean that by bacon, by

1202
00:58:14,213 --> 00:58:18,053
Speaker 3: its very nature, is heavily processed, right, Andy.

1203
00:58:18,933 --> 00:58:20,493
Speaker 14: Oh hell yeah.

1204
00:58:21,013 --> 00:58:22,973
Speaker 13: And I have friends say things to me all the time,

1205
00:58:23,013 --> 00:58:24,853
Speaker 13: why do we put this and that in the product?

1206
00:58:25,013 --> 00:58:27,973
Speaker 13: And I sort of say to them, isn't it funny

1207
00:58:27,973 --> 00:58:30,373
Speaker 13: how that packet of bacon will lasted six weeks?

1208
00:58:30,733 --> 00:58:33,653
Speaker 4: Yeah? I mean it has agreed just on the pork industry,

1209
00:58:33,653 --> 00:58:36,373
Speaker 4: as we know, Andy, that the regulations on New Zealand

1210
00:58:36,373 --> 00:58:39,493
Speaker 4: pork farmers are a lot more stringent than those overseas.

1211
00:58:39,013 --> 00:58:41,373
Speaker 4: That just doesn't make any sense to me.

1212
00:58:42,773 --> 00:58:46,293
Speaker 13: No, No, it doesn't. Look the thing about the company

1213
00:58:46,333 --> 00:58:48,613
Speaker 13: I work for, and I'm not going to preach on

1214
00:58:48,653 --> 00:58:51,133
Speaker 13: about them. But we do the best we can. We

1215
00:58:51,213 --> 00:58:54,173
Speaker 13: have our own vents, we look after the animals, we

1216
00:58:54,253 --> 00:58:56,933
Speaker 13: inspect them on the farm. We've got a huge team

1217
00:58:56,973 --> 00:58:59,813
Speaker 13: behind us, doing the best we can by the animal,

1218
00:58:59,853 --> 00:59:02,133
Speaker 13: the best we can, by the farmer, best we can,

1219
00:59:02,173 --> 00:59:05,453
Speaker 13: by the customer, and lock that. There's some good products

1220
00:59:05,453 --> 00:59:08,893
Speaker 13: out there. But I don't see why you need to

1221
00:59:08,893 --> 00:59:12,653
Speaker 13: put gluten into something like a burger. I mean, you

1222
00:59:12,693 --> 00:59:14,573
Speaker 13: guys have probably made burgers at home. Do you add

1223
00:59:14,613 --> 00:59:15,773
Speaker 13: gluten to them?

1224
00:59:16,093 --> 00:59:19,093
Speaker 4: Not often? No, I never know what gluten.

1225
00:59:18,813 --> 00:59:23,693
Speaker 13: Is exactly, and most of us stone it's probably something well.

1226
00:59:23,733 --> 00:59:26,973
Speaker 13: I think the name gives it away, doesn't it glue?

1227
00:59:27,413 --> 00:59:29,773
Speaker 13: But to be honest, we don't need to be adding

1228
00:59:29,813 --> 00:59:32,533
Speaker 13: that stuff. And if we go back to that broador

1229
00:59:32,893 --> 00:59:36,413
Speaker 13: like you're saying, Matt, it's not expensive. I bought two

1230
00:59:36,453 --> 00:59:39,573
Speaker 13: bits of Cherokee the other night for twelve dollars, bought

1231
00:59:39,653 --> 00:59:42,653
Speaker 13: up some potatoes, two herbs, a bit of egg, and

1232
00:59:42,693 --> 00:59:44,853
Speaker 13: I made myself sixteen fishcakes.

1233
00:59:45,253 --> 00:59:48,813
Speaker 4: Well dollars it sounds pretty good, Andy, thank you very much.

1234
00:59:48,853 --> 00:59:50,573
Speaker 4: How on one hundred and eighty ten eighty is that

1235
00:59:50,693 --> 00:59:54,773
Speaker 4: number to call? How hard is it to eat unprocessed meatal?

1236
00:59:54,973 --> 00:59:59,573
Speaker 4: Very litterally? That's not the right phrasing, is slightly processed meats?

1237
00:59:59,613 --> 01:00:01,853
Speaker 4: And if you go in whole foods, how hard is that?

1238
01:00:02,413 --> 01:00:04,933
Speaker 3: A lot of people are texting in saying check out

1239
01:00:05,013 --> 01:00:07,773
Speaker 3: an app called kai Wise. Well, I will do that

1240
01:00:07,853 --> 01:00:09,813
Speaker 3: during the new Yes, good tip, and I'll report back

1241
01:00:09,853 --> 01:00:10,933
Speaker 3: to you all right, beautykay?

1242
01:00:10,973 --> 01:00:14,253
Speaker 4: Then headlines coming up back fory surely taking your calls. Oh,

1243
01:00:14,253 --> 01:00:15,573
Speaker 4: one hundred and eighteen eighty.

1244
01:00:16,613 --> 01:00:19,853
Speaker 19: You've talk said the headlines with your ride in New

1245
01:00:19,973 --> 01:00:24,133
Speaker 19: Zealand's number one taxi app, Download your ride today. The

1246
01:00:24,293 --> 01:00:28,693
Speaker 19: Education Minister's optimistic about growth and the teaching workforce. The

1247
01:00:28,813 --> 01:00:32,133
Speaker 19: number of primary teachers is tracking towards a surplus, but

1248
01:00:32,213 --> 01:00:36,813
Speaker 19: secondary teachers lag behind. Erica Stanford's announced new initiatives to

1249
01:00:36,933 --> 01:00:40,773
Speaker 19: train and support staff. A new measul's case has been

1250
01:00:40,853 --> 01:00:44,773
Speaker 19: confirmed in Auckland. Its linked to overseas travel. There are

1251
01:00:44,813 --> 01:00:48,653
Speaker 19: several locations of interest, primarily around the Northwest and Westgate

1252
01:00:48,733 --> 01:00:53,893
Speaker 19: shopping centers. Between February sixteenth and twenty fourth, four people

1253
01:00:53,973 --> 01:00:56,973
Speaker 19: were taken to hospital with minor injuries after a chemical

1254
01:00:57,053 --> 01:01:00,453
Speaker 19: leak at an Ashburton Primary school this morning. Elias and

1255
01:01:00,533 --> 01:01:03,893
Speaker 19: John advised two people were injured, but this has been corrected.

1256
01:01:04,933 --> 01:01:08,493
Speaker 19: Concerns of a Lasagnia disaster after a wrong use this

1257
01:01:08,533 --> 01:01:11,893
Speaker 19: by date was printed. A recall notice has been issued

1258
01:01:12,093 --> 01:01:15,613
Speaker 19: for pans beef lasagna found in North Island four Square

1259
01:01:15,693 --> 01:01:18,933
Speaker 19: Pack and Save and New World supermarkets. What should have

1260
01:01:18,973 --> 01:01:24,573
Speaker 19: been March one, says May one. Chris Wood return date

1261
01:01:24,653 --> 01:01:27,853
Speaker 19: boosts all whites hopes for world can't push. You can

1262
01:01:27,893 --> 01:01:30,533
Speaker 19: find out more at Ins and Herald Premium. Back to

1263
01:01:30,533 --> 01:01:31,893
Speaker 19: matt Ethan Tyler Adams.

1264
01:01:31,893 --> 01:01:34,933
Speaker 4: Thank you very much, Rayleen. It is twenty three to three,

1265
01:01:35,013 --> 01:01:37,213
Speaker 4: So we're talking about the collapse of the plant based

1266
01:01:37,293 --> 01:01:40,773
Speaker 4: fake meat sector. Once a darling of investors, it is

1267
01:01:40,813 --> 01:01:43,693
Speaker 4: now facing serious headwinds. But won't have a chat to

1268
01:01:43,733 --> 01:01:47,053
Speaker 4: you about eating fake meats. That's all your thing and why?

1269
01:01:47,093 --> 01:01:48,973
Speaker 4: But also how hard is it to eat whole foods?

1270
01:01:49,413 --> 01:01:53,053
Speaker 3: Yeah, because look, I think that there's no moral high

1271
01:01:53,053 --> 01:01:56,053
Speaker 3: ground to be had for these plant based meat products.

1272
01:01:56,253 --> 01:02:03,053
Speaker 3: They are a Frankensteinian mishmash. Of additives made in a

1273
01:02:03,533 --> 01:02:08,333
Speaker 3: lab that involved just clearing huge vast tracts of land,

1274
01:02:08,373 --> 01:02:10,573
Speaker 3: and so they don't even they don't even have we

1275
01:02:10,653 --> 01:02:11,933
Speaker 3: don't kill animals.

1276
01:02:13,653 --> 01:02:15,053
Speaker 4: Tech, do they No, they don't.

1277
01:02:15,093 --> 01:02:17,693
Speaker 3: Just to grow all the different things and to move

1278
01:02:17,733 --> 01:02:20,373
Speaker 3: them around. You know, there is a huge impact on

1279
01:02:20,413 --> 01:02:22,053
Speaker 3: the planet. So I don't have a moral I don't

1280
01:02:22,053 --> 01:02:24,093
Speaker 3: think we've got a moral high ground at all these things.

1281
01:02:24,093 --> 01:02:27,653
Speaker 3: And also I don't think they taste great. But people

1282
01:02:27,653 --> 01:02:31,573
Speaker 3: can eat whatever they want. Absolutely. But then the question

1283
01:02:31,693 --> 01:02:34,293
Speaker 3: came in. You know, you're complaining about these things being

1284
01:02:34,373 --> 01:02:36,493
Speaker 3: ultra protests and filled a lot of with a lot

1285
01:02:36,533 --> 01:02:38,733
Speaker 3: of ingredients. So there's a lot of the meat products

1286
01:02:38,733 --> 01:02:41,653
Speaker 3: that you buy. Yes, So you know it's hypocritical to

1287
01:02:41,733 --> 01:02:46,453
Speaker 3: say that plant based foods, plant based meats and fake

1288
01:02:46,573 --> 01:02:50,453
Speaker 3: meats are a disgusting Frankensteinian creation. When we're taking perfectly

1289
01:02:50,453 --> 01:02:54,173
Speaker 3: good whole meat and turning it into an editive filled

1290
01:02:55,173 --> 01:02:56,813
Speaker 3: cancer scare.

1291
01:02:56,773 --> 01:02:58,893
Speaker 4: Sheer your view? I wait hundred eighty ten eighty and

1292
01:02:58,973 --> 01:03:01,253
Speaker 4: nineteen nine two is the text Simon says, Hey, go

1293
01:03:01,293 --> 01:03:03,973
Speaker 4: to the butcher yep, yeah, yeap. Whenever they do those

1294
01:03:04,013 --> 01:03:09,653
Speaker 4: comparisons between what you buy at a butcher as opposed

1295
01:03:09,693 --> 01:03:13,973
Speaker 4: to what you buy from a supermarket. Very in favorable

1296
01:03:14,133 --> 01:03:19,133
Speaker 4: of the of the supermarket. Support your local butcher, yeah yeah, yeah, Joe,

1297
01:03:19,333 --> 01:03:22,253
Speaker 4: you own our whole food store, Yeah.

1298
01:03:22,093 --> 01:03:26,173
Speaker 8: I do, just so I call them and talk about

1299
01:03:26,453 --> 01:03:29,013
Speaker 8: probably what I'm seeing as a trend. Had a store

1300
01:03:29,013 --> 01:03:35,413
Speaker 8: about five years and perhaps there was more veganism and

1301
01:03:35,453 --> 01:03:39,213
Speaker 8: people looking for those alternative products five years ago, But

1302
01:03:39,333 --> 01:03:43,573
Speaker 8: I'm really seeing a trend to customers being far more

1303
01:03:43,693 --> 01:03:46,733
Speaker 8: educated about what they're wanting to buy and really leaning

1304
01:03:46,773 --> 01:03:54,933
Speaker 8: into whole foods and yeah, and shopping just pure, unadulterated

1305
01:03:54,973 --> 01:03:58,133
Speaker 8: products and looking for them. And yeah, I think we

1306
01:03:58,213 --> 01:04:03,093
Speaker 8: can't underestimate how smart how customers are becoming. And yeah,

1307
01:04:03,093 --> 01:04:07,653
Speaker 8: they really are understanding their products, reading the labels, wanting advice.

1308
01:04:08,693 --> 01:04:09,373
Speaker 14: Where we are.

1309
01:04:09,453 --> 01:04:12,293
Speaker 8: Certainly thriving as a store seeing people coming in and

1310
01:04:12,333 --> 01:04:14,613
Speaker 8: shopping whole foods, sigh our bolt them.

1311
01:04:15,253 --> 01:04:20,853
Speaker 3: What constitutes a whole food is like say, oats, oats

1312
01:04:20,853 --> 01:04:21,733
Speaker 3: the whole food.

1313
01:04:22,213 --> 01:04:28,053
Speaker 8: Yeah, oats, grains, legiums, you know, seeds, all that sort

1314
01:04:28,053 --> 01:04:34,493
Speaker 8: of thing, things that haven't haven't been changed. And like

1315
01:04:34,813 --> 01:04:38,573
Speaker 8: you're talking about the ultra process foods. It's products and

1316
01:04:38,693 --> 01:04:41,573
Speaker 8: foods and things that are very close to how they were,

1317
01:04:41,693 --> 01:04:44,213
Speaker 8: you know, when they came out of the ground or yeah,

1318
01:04:44,253 --> 01:04:47,893
Speaker 8: and even even flowers. People are so many people baking

1319
01:04:47,893 --> 01:04:51,053
Speaker 8: their own sourdoughs and things like that and looking for interesting,

1320
01:04:51,213 --> 01:04:55,733
Speaker 8: beautiful flowers to produce their own breads and things. And

1321
01:04:56,053 --> 01:04:59,853
Speaker 8: it's actually interesting because it's across the consumer groups. There's

1322
01:04:59,893 --> 01:05:01,813
Speaker 8: a lot of young people that are leaning in and

1323
01:05:01,853 --> 01:05:06,893
Speaker 8: really wanting to do make their own foods, shopping with us,

1324
01:05:06,933 --> 01:05:09,653
Speaker 8: as much as there are older people that you that

1325
01:05:10,053 --> 01:05:13,213
Speaker 8: maybe remembered cooking, you know, how cooking was in the

1326
01:05:13,253 --> 01:05:17,893
Speaker 8: old days. I know it's tough going out there for

1327
01:05:17,973 --> 01:05:20,133
Speaker 8: customers and things, and you know, the cost of gods

1328
01:05:20,613 --> 01:05:22,413
Speaker 8: the food and all that sort of thing. But what

1329
01:05:22,533 --> 01:05:26,013
Speaker 8: I'm seeing is people really thinking hard and investing well

1330
01:05:26,133 --> 01:05:31,173
Speaker 8: in their food and their nutrition and from that thinking

1331
01:05:31,253 --> 01:05:33,933
Speaker 8: that you know, as we always know, if you eat well,

1332
01:05:33,973 --> 01:05:37,973
Speaker 8: your health improves, and getting really more educated about.

1333
01:05:37,693 --> 01:05:40,693
Speaker 3: That, is there a maximum number of steps that something

1334
01:05:40,733 --> 01:05:42,933
Speaker 3: can go through and still be considered whole food? Because

1335
01:05:42,933 --> 01:05:45,413
Speaker 3: if you take the like oats, right. So, I don't

1336
01:05:45,453 --> 01:05:47,253
Speaker 3: know much about it, but I imagine it's some kind

1337
01:05:47,253 --> 01:05:50,973
Speaker 3: of grass like situation, and probably the oats that the

1338
01:05:51,013 --> 01:05:54,333
Speaker 3: oat grains that we you know, boil up or do whatever.

1339
01:05:55,173 --> 01:05:57,853
Speaker 3: That's is that like a seed.

1340
01:05:59,013 --> 01:06:02,293
Speaker 8: That set fell a like one hundred percent oats, you know,

1341
01:06:02,453 --> 01:06:05,413
Speaker 8: so there's nothing else added to them. So yeah, I

1342
01:06:05,413 --> 01:06:07,013
Speaker 8: mean I think that the educate so.

1343
01:06:06,933 --> 01:06:08,693
Speaker 3: They can have like they can have like the outer

1344
01:06:08,813 --> 01:06:14,653
Speaker 3: husk removed. Yeah yeah, nothing added, correct? Yeah right? Yeah

1345
01:06:14,693 --> 01:06:15,893
Speaker 3: yeah yeah.

1346
01:06:15,933 --> 01:06:18,933
Speaker 8: And then if you're buying organic, and again I appreciate

1347
01:06:18,973 --> 01:06:21,933
Speaker 8: that organic is more expensive, but there are people that

1348
01:06:23,413 --> 01:06:26,333
Speaker 8: invest in an organic product by the simple nature of

1349
01:06:26,333 --> 01:06:30,093
Speaker 8: it being organic, you cannot change that product in any way,

1350
01:06:30,133 --> 01:06:31,533
Speaker 8: shape or form.

1351
01:06:32,213 --> 01:06:34,133
Speaker 4: So how does just explain that to me? Like I'm

1352
01:06:34,133 --> 01:06:36,133
Speaker 4: a five year old? So I mean, is that if

1353
01:06:36,133 --> 01:06:38,853
Speaker 4: you've got an organic organic label on it, there's no

1354
01:06:38,893 --> 01:06:42,053
Speaker 4: way you can change anything, correct, right?

1355
01:06:42,173 --> 01:06:50,853
Speaker 8: Okay, So, for example, say a flower. Recently, flowers have

1356
01:06:50,933 --> 01:06:53,733
Speaker 8: had folic acid added to them if they're a flower

1357
01:06:53,813 --> 01:06:57,453
Speaker 8: that can be produced into breads and some people some

1358
01:06:57,493 --> 01:07:00,413
Speaker 8: people are happy with sooloic acid additive, other people aren't.

1359
01:07:00,773 --> 01:07:05,573
Speaker 8: So if it's an organic flower, it cannot have folic

1360
01:07:05,613 --> 01:07:09,093
Speaker 8: acid added to that flower because that changes it's organic

1361
01:07:09,133 --> 01:07:10,133
Speaker 8: state status.

1362
01:07:10,293 --> 01:07:12,293
Speaker 3: Is that the one that's good for reproduction. I remember an

1363
01:07:12,293 --> 01:07:14,893
Speaker 3: air that ended with and folic exit and folic acid

1364
01:07:14,933 --> 01:07:15,653
Speaker 3: for reproduction.

1365
01:07:16,893 --> 01:07:19,613
Speaker 4: Yes, hopefully.

1366
01:07:20,653 --> 01:07:20,853
Speaker 6: Yes.

1367
01:07:20,933 --> 01:07:24,413
Speaker 3: So when I walk past my whole food store in

1368
01:07:24,453 --> 01:07:28,293
Speaker 3: my neighborhood, they've got loads of bread. So a loaf

1369
01:07:28,333 --> 01:07:31,293
Speaker 3: of bread isn't technically whole foods because it's got a

1370
01:07:31,293 --> 01:07:33,293
Speaker 3: bunch of foods mixed together in it. Am I right?

1371
01:07:33,693 --> 01:07:34,093
Speaker 7: Yeah?

1372
01:07:34,173 --> 01:07:36,853
Speaker 8: I mean yeah, I mean so in our store we

1373
01:07:36,893 --> 01:07:40,893
Speaker 8: sell sour dough that made out of and it comes

1374
01:07:40,933 --> 01:07:45,493
Speaker 8: from Volare and it's you know, they're a beautiful starter

1375
01:07:45,693 --> 01:07:49,013
Speaker 8: for the sour dough and you know, natural process, et cetera.

1376
01:07:49,373 --> 01:07:52,373
Speaker 8: But yes, I mean, most whole food stores to survive

1377
01:07:52,613 --> 01:07:56,333
Speaker 8: are going to do a combination of whole foods, boltans

1378
01:07:56,373 --> 01:07:58,653
Speaker 8: and things that they are also going to sell packaged goods.

1379
01:07:58,773 --> 01:08:00,973
Speaker 8: But what we do tend to do is in our

1380
01:08:01,053 --> 01:08:04,413
Speaker 8: particular store lean into local supplies and things like that

1381
01:08:04,413 --> 01:08:09,133
Speaker 8: that that for instance, we stock Doctor Butcher, which is

1382
01:08:09,133 --> 01:08:13,333
Speaker 8: this beautiful butcher that's made locally, and we we we

1383
01:08:13,493 --> 01:08:16,492
Speaker 8: range dream View milk. It's milk like you remember from

1384
01:08:16,532 --> 01:08:20,772
Speaker 8: the good old days. That is uh, it's obviously past

1385
01:08:20,853 --> 01:08:24,213
Speaker 8: riise because you have past it has to be past riised,

1386
01:08:24,253 --> 01:08:27,053
Speaker 8: but it's it's it's not homogenized. So it's got that

1387
01:08:27,173 --> 01:08:30,612
Speaker 8: cream on the top. We tried, We tried, and.

1388
01:08:30,572 --> 01:08:33,612
Speaker 21: It's beautiful, thick milk and thick.

1389
01:08:34,492 --> 01:08:36,732
Speaker 8: They do a yogat as well. They're just and they're

1390
01:08:36,772 --> 01:08:39,133
Speaker 8: just this beautiful farm. So we we're trying as much

1391
01:08:39,133 --> 01:08:42,892
Speaker 8: as we can to lean into New Zealand suppliers and

1392
01:08:43,053 --> 01:08:45,852
Speaker 8: you know, local producers and what we call artists and.

1393
01:08:46,133 --> 01:08:48,293
Speaker 3: Supply it good on you, Joe. So we've got to

1394
01:08:48,372 --> 01:08:50,052
Speaker 3: hear what what what what the name of your store

1395
01:08:50,133 --> 01:08:50,812
Speaker 3: is and where it is?

1396
01:08:52,412 --> 01:08:53,293
Speaker 8: Ben and Papa Maya?

1397
01:08:54,093 --> 01:08:54,652
Speaker 3: What's it called?

1398
01:08:54,692 --> 01:08:56,012
Speaker 4: Ben? And Papa Moa?

1399
01:08:56,173 --> 01:08:56,452
Speaker 2: Ben?

1400
01:08:56,853 --> 01:09:01,932
Speaker 3: And am I stupid?

1401
01:09:01,973 --> 01:09:02,173
Speaker 6: Can I?

1402
01:09:02,412 --> 01:09:03,133
Speaker 3: I can't get this right?

1403
01:09:03,173 --> 01:09:07,972
Speaker 4: Like you remember in the big ban in stores where

1404
01:09:07,973 --> 01:09:10,412
Speaker 4: you go just as b I N N I n n.

1405
01:09:10,452 --> 01:09:13,293
Speaker 4: Hasn't it been in yep Ben in Papa Maya.

1406
01:09:13,412 --> 01:09:15,692
Speaker 8: So we'll like that in about many Pama and we've

1407
01:09:15,732 --> 01:09:18,852
Speaker 8: just got We're just it's a thriving store because you know,

1408
01:09:18,973 --> 01:09:22,253
Speaker 8: we present a beautiful product. It's clean, it's tidy and

1409
01:09:22,253 --> 01:09:24,652
Speaker 8: people want to the other thing about the bulk Bens

1410
01:09:24,692 --> 01:09:26,452
Speaker 8: is you can buy as little as much as you want,

1411
01:09:26,933 --> 01:09:30,052
Speaker 8: use everything that you buy. So it's the whole sustainability pitch.

1412
01:09:30,372 --> 01:09:32,893
Speaker 4: Yeah, Joe, thank you very much. Fascinating to have a

1413
01:09:32,973 --> 01:09:35,492
Speaker 4: chat with you. I eight hundred eighty ten eighty is

1414
01:09:35,532 --> 01:09:37,933
Speaker 4: that number to call? Nine two nine two is the

1415
01:09:37,973 --> 01:09:40,932
Speaker 4: text as well been in Papa Moa. Get down there.

1416
01:09:41,053 --> 01:09:42,412
Speaker 4: It is quarter to three.

1417
01:09:43,093 --> 01:09:46,293
Speaker 1: A fresh take on Talkback Matt Heath and Tyler Adams

1418
01:09:46,333 --> 01:09:50,133
Speaker 1: Afternoons with Skoda. Please go to codes every day at

1419
01:09:50,173 --> 01:09:53,372
Speaker 1: scoder dot co dot Nz. Have your say on eight

1420
01:09:53,452 --> 01:09:55,573
Speaker 1: hundred and eighty ten eighty News Talks.

1421
01:09:55,492 --> 01:09:58,333
Speaker 4: B very good afternoon till it is twelve to three.

1422
01:09:58,492 --> 01:10:00,492
Speaker 4: So we have been talking about whole foods. How hard

1423
01:10:00,572 --> 01:10:02,973
Speaker 4: is it to eat a whole food diet? It's on

1424
01:10:02,973 --> 01:10:06,013
Speaker 4: the back of the collapse of the fake meat industry.

1425
01:10:06,093 --> 01:10:08,253
Speaker 4: I eight hundred eighty ten eighty is that number to call?

1426
01:10:08,452 --> 01:10:10,452
Speaker 4: Get a bernardet.

1427
01:10:10,893 --> 01:10:13,452
Speaker 14: I'm a baker and I've been around the tracks for

1428
01:10:13,492 --> 01:10:17,052
Speaker 14: a while. I just want to make a couple of points.

1429
01:10:17,093 --> 01:10:22,253
Speaker 14: One is that this stuff's been around for forty odd years.

1430
01:10:22,772 --> 01:10:26,692
Speaker 14: The TVP, or textured vegetable protein part of it came

1431
01:10:26,732 --> 01:10:30,452
Speaker 14: into the industry back in the late eighties early nineties,

1432
01:10:31,532 --> 01:10:38,012
Speaker 14: and it was used by commercial bakers quite extensively until

1433
01:10:38,093 --> 01:10:40,732
Speaker 14: regulations tightened up, and then they made sure that there

1434
01:10:40,772 --> 01:10:43,213
Speaker 14: was X amount of meat that was put into the pies.

1435
01:10:44,133 --> 01:10:46,732
Speaker 14: But the TVP part of it was really good for

1436
01:10:46,812 --> 01:10:49,652
Speaker 14: the bakers because it would absorb two to three times

1437
01:10:49,652 --> 01:10:54,253
Speaker 14: it's wasting water, and of course water is free. The

1438
01:10:54,333 --> 01:10:56,093
Speaker 14: other part of it is that it was fat free,

1439
01:10:56,532 --> 01:11:01,013
Speaker 14: so for me, so that's where I started with it,

1440
01:11:01,093 --> 01:11:04,972
Speaker 14: and then I developed a whole lot of formulas around TVP.

1441
01:11:05,372 --> 01:11:09,012
Speaker 14: So I could make spaghetti, bolled kna's, I could make conkahn,

1442
01:11:09,173 --> 01:11:12,852
Speaker 14: I could do shepherds pies, I could do all sorts

1443
01:11:12,893 --> 01:11:14,532
Speaker 14: of things using TVP.

1444
01:11:15,372 --> 01:11:18,253
Speaker 3: Is TVP soy based generally speaking.

1445
01:11:17,973 --> 01:11:21,333
Speaker 14: Yeah, yeah, yeah, basically yeah. And you can still buy

1446
01:11:21,412 --> 01:11:26,812
Speaker 14: TVP on the shelf in the supermarket. And then but

1447
01:11:26,853 --> 01:11:29,932
Speaker 14: the industry grew, and what's happened now is that now

1448
01:11:29,933 --> 01:11:32,853
Speaker 14: we've got a lot of products which are like sausages

1449
01:11:32,933 --> 01:11:36,613
Speaker 14: and bacon and all sorts of things. The organic sausages

1450
01:11:36,772 --> 01:11:42,372
Speaker 14: are basically based around tofu and most of those sausages,

1451
01:11:42,652 --> 01:11:47,253
Speaker 14: the organic based ones, all got TOFU and then rice

1452
01:11:47,333 --> 01:11:50,772
Speaker 14: flour and tapioca flour and things like that, and they

1453
01:11:50,933 --> 01:11:53,212
Speaker 14: all come out free dairy pree.

1454
01:11:53,372 --> 01:11:54,893
Speaker 3: The organic or do you mean vegetarian.

1455
01:11:56,013 --> 01:12:01,012
Speaker 14: Yeah, well they're vegetarian, but they're organic vegetarian, right, okay, right, okay.

1456
01:12:01,293 --> 01:12:05,172
Speaker 14: And so these ones, that group of products is actually

1457
01:12:05,412 --> 01:12:08,932
Speaker 14: very got because it's got very very low fair content,

1458
01:12:09,532 --> 01:12:16,812
Speaker 14: basically cholesterol free. They are a very high quality product.

1459
01:12:17,213 --> 01:12:21,333
Speaker 14: Now for me, I got marriage twenty five years ago

1460
01:12:21,452 --> 01:12:26,253
Speaker 14: to my wife who had never eaten meat, and what.

1461
01:12:26,333 --> 01:12:28,012
Speaker 3: In her whole life had grown.

1462
01:12:27,853 --> 01:12:30,812
Speaker 14: Up with our whole life still has never eaten meat.

1463
01:12:31,013 --> 01:12:35,412
Speaker 14: So what these products allowed us to do, because I

1464
01:12:35,452 --> 01:12:37,812
Speaker 14: had always eaten meat, what it allows us to do

1465
01:12:37,933 --> 01:12:40,972
Speaker 14: is that then I could make spaghetti bolinnaise at home

1466
01:12:42,213 --> 01:12:46,692
Speaker 14: with TVP, which would taste just like spaghetti bolarnaise, but

1467
01:12:46,812 --> 01:12:51,372
Speaker 14: would be basically fat free and nobody could tell the difference,

1468
01:12:51,812 --> 01:12:54,093
Speaker 14: and then my wife could be able to eat it.

1469
01:12:54,973 --> 01:12:56,893
Speaker 14: And so, and then there was a whole range of

1470
01:12:56,933 --> 01:12:58,732
Speaker 14: stuff that then we could do. We could do like

1471
01:12:58,772 --> 01:13:00,812
Speaker 14: I say, we could do chili con cahn, we could

1472
01:13:01,412 --> 01:13:04,812
Speaker 14: do nachos, we could do all sorts of things. We

1473
01:13:04,933 --> 01:13:09,052
Speaker 14: can also do we use the more processed ones basically

1474
01:13:09,093 --> 01:13:11,732
Speaker 14: there's junk food, just like you would use it for

1475
01:13:11,853 --> 01:13:16,053
Speaker 14: junk food for or you would buy junk food from,

1476
01:13:16,333 --> 01:13:19,612
Speaker 14: you know, one of the big Hamburger places or whatever.

1477
01:13:20,333 --> 01:13:25,372
Speaker 14: We can buy vegetable based bacon and we can fight

1478
01:13:25,452 --> 01:13:28,452
Speaker 14: it off and we can basically make a breakfast muffin

1479
01:13:28,532 --> 01:13:30,572
Speaker 14: with a hash brown and egg and bacon in it

1480
01:13:31,013 --> 01:13:34,173
Speaker 14: that's got no meat in it. And if you if

1481
01:13:34,213 --> 01:13:37,692
Speaker 14: you treat the product properly, it tastes just exactly the

1482
01:13:37,732 --> 01:13:41,532
Speaker 14: same as one that's got the real thing. But that's

1483
01:13:41,572 --> 01:13:42,653
Speaker 14: fat free.

1484
01:13:42,933 --> 01:13:46,812
Speaker 3: Right, Okay, So you're saying that. So what you're saying

1485
01:13:46,853 --> 01:13:50,293
Speaker 3: is that there's some there's some meat what fake meat

1486
01:13:50,333 --> 01:13:57,013
Speaker 3: products that aren't Frankensteining in twenty five ingredients.

1487
01:13:57,013 --> 01:14:00,452
Speaker 14: Not at all, and they are really high quality. And

1488
01:14:00,853 --> 01:14:03,412
Speaker 14: you know, like I've got a peck of sausages here,

1489
01:14:03,492 --> 01:14:08,253
Speaker 14: organic based sausages here, cholesterol free, gluten free, dairy free,

1490
01:14:09,452 --> 01:14:14,092
Speaker 14: made out of tofu, which a lot of people don't

1491
01:14:14,093 --> 01:14:19,013
Speaker 14: necessarily like. But with these they've edited Italian herbs and

1492
01:14:19,333 --> 01:14:22,652
Speaker 14: topeocre flour rice flour to them, and you end up

1493
01:14:22,692 --> 01:14:26,013
Speaker 14: with product which is just like a normal sausage. And

1494
01:14:26,093 --> 01:14:27,973
Speaker 14: what we'll do with that product is will turn it

1495
01:14:27,973 --> 01:14:28,932
Speaker 14: into sausage rocks.

1496
01:14:29,133 --> 01:14:31,692
Speaker 4: Interesting, Bernard, thank you very much for giving us a

1497
01:14:31,732 --> 01:14:35,173
Speaker 4: buzz back. Very shortly. It is eight minutes to three,

1498
01:14:35,893 --> 01:14:36,853
Speaker 4: the issues.

1499
01:14:36,492 --> 01:14:38,972
Speaker 1: That affect you, and a bit of fun along the way,

1500
01:14:39,213 --> 01:14:42,532
Speaker 1: Mad Heath and Taylor Adams afternoons News Talks B.

1501
01:14:43,612 --> 01:14:45,852
Speaker 4: News Talks B. It is four to three.

1502
01:14:46,173 --> 01:14:48,652
Speaker 3: This says. My wife and I have lived on a

1503
01:14:48,692 --> 01:14:51,492
Speaker 3: Whole Food's plant diet for sixty six years. She was

1504
01:14:51,572 --> 01:14:54,452
Speaker 3: asthatic and I suffered from migraines. After changing our diet

1505
01:14:54,452 --> 01:14:58,013
Speaker 3: to plants, our health problems disappeared. We brought up our

1506
01:14:58,053 --> 01:15:01,253
Speaker 3: two boys as vegetarians, and we have four grandchildren and

1507
01:15:01,293 --> 01:15:04,412
Speaker 3: three great grandkids, all living the same lifestyle and none

1508
01:15:04,412 --> 01:15:08,253
Speaker 3: of us gets sick ever. Wow, fit well and active

1509
01:15:08,372 --> 01:15:13,652
Speaker 3: from John Superhuman. But how's the flexcellente Exactly? If you're

1510
01:15:13,652 --> 01:15:16,492
Speaker 3: ethically opposed to eating animal flesh, says Joeanne, why on

1511
01:15:16,572 --> 01:15:18,932
Speaker 3: earth would you want to eat pretend meat. There are

1512
01:15:18,933 --> 01:15:23,852
Speaker 3: plenty of healthy and tasty vegetarian options. Yes, sneak meat

1513
01:15:23,893 --> 01:15:26,372
Speaker 3: is just money making scam, pretending to be the savior

1514
01:15:26,412 --> 01:15:28,732
Speaker 3: of the planets as we reduce global warming. But it's

1515
01:15:28,812 --> 01:15:31,173
Speaker 3: just to make people like Bill Gates. Rich says this text.

1516
01:15:31,492 --> 01:15:33,773
Speaker 4: You go a lot to that as well. Great discussion.

1517
01:15:33,812 --> 01:15:35,412
Speaker 4: I think is pretty clear people are not a big

1518
01:15:35,412 --> 01:15:38,532
Speaker 4: fan of the fake meat products. Coming up after three o'clock,

1519
01:15:38,572 --> 01:15:40,133
Speaker 4: we want to have a talk about this idea of

1520
01:15:40,213 --> 01:15:43,892
Speaker 4: East plates for older drivers. It's created by a man

1521
01:15:43,933 --> 01:15:46,572
Speaker 4: in west Auckland. We'll tell you more about it very shortly.

1522
01:15:46,612 --> 01:15:49,412
Speaker 4: But would you make older drivers in your life I

1523
01:15:49,612 --> 01:15:51,972
Speaker 4: have to put a blue S sticker on their car

1524
01:15:52,053 --> 01:15:53,372
Speaker 4: before they go out on.

1525
01:15:53,253 --> 01:15:55,213
Speaker 3: The road, safe or disrespectful.

1526
01:15:55,253 --> 01:16:00,853
Speaker 4: Oh eight hundred and eighty ten eighties at number to call.

1527
01:15:59,452 --> 01:16:02,173
Speaker 10: Your home for insightful and entertaining talk.

1528
01:16:02,333 --> 01:16:05,973
Speaker 1: It's Matt Heath and Taylor Adams afternoons with Skoder on

1529
01:16:06,133 --> 01:16:06,572
Speaker 1: News Talk.

1530
01:16:06,652 --> 01:16:10,892
Speaker 4: There be afternoon to you. Six pass three coming up

1531
01:16:11,173 --> 01:16:14,173
Speaker 4: very very soon the moment New Zealand waits for New

1532
01:16:14,293 --> 01:16:17,572
Speaker 4: Zealander of the week. Who will it be. We're also

1533
01:16:17,612 --> 01:16:19,612
Speaker 4: going to be chatting to an incredible key with His

1534
01:16:19,692 --> 01:16:22,172
Speaker 4: name is Sam Viai. He founded a company called Sios

1535
01:16:22,213 --> 01:16:25,892
Speaker 4: which builds incredible unmanned vehicles and he's just signed a

1536
01:16:25,933 --> 01:16:29,932
Speaker 4: massive contract with our defense force. So really looking forward

1537
01:16:29,933 --> 01:16:31,372
Speaker 4: to even a chat with this guy. It's amazing what

1538
01:16:31,412 --> 01:16:31,932
Speaker 4: he's done.

1539
01:16:32,053 --> 01:16:36,093
Speaker 3: We've got so many incredible people in this country doing

1540
01:16:36,333 --> 01:16:39,373
Speaker 3: amazing things, don't we We do. Yeah, we've got blasting

1541
01:16:39,412 --> 01:16:45,253
Speaker 3: things into space. We've got people running million degree plasmas,

1542
01:16:45,853 --> 01:16:48,572
Speaker 3: one point five million degree plasmas and lower hut and

1543
01:16:48,612 --> 01:16:52,372
Speaker 3: we've got absolutely top of their game drone makers as well.

1544
01:16:52,412 --> 01:16:55,452
Speaker 4: All in this country makeshare prow, doesn't it. But right now,

1545
01:16:55,572 --> 01:16:57,932
Speaker 4: let's get into this. So west Auckland man, his name

1546
01:16:58,253 --> 01:17:02,412
Speaker 4: is Boyd Steel. He has created a voluntary blue S

1547
01:17:02,412 --> 01:17:05,572
Speaker 4: sticker for older drivers. So he says this aims to

1548
01:17:05,692 --> 01:17:09,013
Speaker 4: encourage patients on the road. He argues that many of

1549
01:17:09,053 --> 01:17:11,612
Speaker 4: the older drivers out there tend to slow down a

1550
01:17:11,612 --> 01:17:13,732
Speaker 4: little bit on the road is they get a bit older,

1551
01:17:14,293 --> 01:17:18,133
Speaker 4: and when people come across the slow drivers, if they

1552
01:17:18,173 --> 01:17:20,492
Speaker 4: know that they are a bit older, He's hoping that

1553
01:17:20,612 --> 01:17:23,612
Speaker 4: will all show a bit more patient and understanding that

1554
01:17:23,732 --> 01:17:26,212
Speaker 4: nana's in the car. She's just trying to do her shopping,

1555
01:17:26,492 --> 01:17:29,093
Speaker 4: so please don't give her a hard time and don't tailgate.

1556
01:17:29,572 --> 01:17:34,572
Speaker 3: So this is something that older people would voluntarily put

1557
01:17:34,612 --> 01:17:36,572
Speaker 3: in their car. Or is this family members that's slapping

1558
01:17:36,612 --> 01:17:38,253
Speaker 3: it on the car, or is he to think that

1559
01:17:38,293 --> 01:17:41,572
Speaker 3: there should be compelled to put it on their car.

1560
01:17:41,732 --> 01:17:44,973
Speaker 4: Legally, not compelled at this stage, so voluntary system. But

1561
01:17:45,013 --> 01:17:46,732
Speaker 4: I think it is a little from column A and

1562
01:17:46,772 --> 01:17:49,532
Speaker 4: a little from columb that you might present it to

1563
01:17:49,812 --> 01:17:51,812
Speaker 4: the older drivers in your life and say it might

1564
01:17:51,853 --> 01:17:53,852
Speaker 4: be a good idea to put this on. But then

1565
01:17:54,173 --> 01:17:55,692
Speaker 4: when it comes down to them, they say, I'm not

1566
01:17:55,732 --> 01:17:58,053
Speaker 4: going to do that because it's embarrassing and it's ageism.

1567
01:17:58,812 --> 01:18:01,052
Speaker 4: Then there may come a time we say, well, I'm sorry,

1568
01:18:01,133 --> 01:18:03,452
Speaker 4: Dad or Mum or Nana, I'm just going to put.

1569
01:18:03,293 --> 01:18:05,812
Speaker 3: It on for you. See that's interesting because I haven't

1570
01:18:05,853 --> 01:18:08,133
Speaker 3: received the wooden spoon from my dad for a very

1571
01:18:08,532 --> 01:18:11,333
Speaker 3: very very long time. But I think if I came

1572
01:18:11,333 --> 01:18:13,412
Speaker 3: at him with a S sticker for the back of

1573
01:18:13,452 --> 01:18:16,532
Speaker 3: the car, it would be pants down and he'd be

1574
01:18:16,572 --> 01:18:17,532
Speaker 3: get the wooden spoon.

1575
01:18:17,333 --> 01:18:20,013
Speaker 4: Yep, straight to the coutlory drawer, get the yeah yeah,

1576
01:18:20,093 --> 01:18:22,012
Speaker 4: bend over, Matt, you get a spanking.

1577
01:18:22,213 --> 01:18:26,652
Speaker 3: You don't S sticker my car. And also I would

1578
01:18:26,692 --> 01:18:29,572
Speaker 3: argue that because when I was teaching my son how

1579
01:18:29,612 --> 01:18:32,572
Speaker 3: to drive, I thought people drove worse around him when

1580
01:18:32,572 --> 01:18:36,093
Speaker 3: he had the L sticker on. Then then when we

1581
01:18:36,093 --> 01:18:36,892
Speaker 3: didn't have an ol stick.

1582
01:18:37,013 --> 01:18:38,012
Speaker 4: Really less patience.

1583
01:18:38,173 --> 01:18:40,173
Speaker 3: Yeah, I think people are such There's some people that

1584
01:18:40,213 --> 01:18:42,492
Speaker 3: are just massive a holes on the road. They'll see

1585
01:18:42,532 --> 01:18:45,772
Speaker 3: a sign on the car and immediately just get annoyed. Yeah,

1586
01:18:45,812 --> 01:18:48,013
Speaker 3: because some people run drive around in a state of

1587
01:18:48,013 --> 01:18:52,053
Speaker 3: great annoyance. They'll see anything, Oh no, Socinia, next thing

1588
01:18:52,053 --> 01:18:57,053
Speaker 3: you know, they're right up there but tailgating and manifesting

1589
01:18:57,253 --> 01:19:00,213
Speaker 3: the conditions that they think are going to going to

1590
01:19:00,452 --> 01:19:03,412
Speaker 3: exist around a dottery driver.

1591
01:19:03,572 --> 01:19:05,133
Speaker 4: Yeah, could be a lot of that. Oh, one hundred

1592
01:19:05,133 --> 01:19:06,612
Speaker 4: and eighty t and eighties. What do you say? Is

1593
01:19:06,652 --> 01:19:09,532
Speaker 4: this offensive to ask older driver in your life to

1594
01:19:09,532 --> 01:19:11,492
Speaker 4: put a big S on the back of the car

1595
01:19:11,532 --> 01:19:13,412
Speaker 4: to indicate they're a senior driver and they might be

1596
01:19:13,452 --> 01:19:16,132
Speaker 4: a little bit slower or is this a great idea? Clearly,

1597
01:19:16,253 --> 01:19:17,852
Speaker 4: you know, having your license when you're a bit older,

1598
01:19:17,853 --> 01:19:20,852
Speaker 4: there's that sense of freedom and your motor schools still

1599
01:19:20,933 --> 01:19:22,692
Speaker 4: do slow down a little bit. Let's be honest here,

1600
01:19:22,732 --> 01:19:25,612
Speaker 4: So oh, eight, one hundred and eighty ten eighty would

1601
01:19:25,652 --> 01:19:28,812
Speaker 4: you compel your mum or dad or nana or granddad

1602
01:19:28,853 --> 01:19:30,572
Speaker 4: to put one of these on? And how the heck

1603
01:19:30,612 --> 01:19:32,933
Speaker 4: do you have that conversation when it comes time that

1604
01:19:33,933 --> 01:19:35,492
Speaker 4: your parents might be a little.

1605
01:19:35,253 --> 01:19:38,532
Speaker 3: Bit YEAHS plate or not. There's a lot of people

1606
01:19:38,532 --> 01:19:40,692
Speaker 3: that have had that conversation with their parents where you

1607
01:19:40,732 --> 01:19:41,213
Speaker 3: start to.

1608
01:19:41,173 --> 01:19:45,133
Speaker 4: Go, I don't know if I.

1609
01:19:44,333 --> 01:19:46,132
Speaker 3: Think you're up to being on the on the open,

1610
01:19:46,372 --> 01:19:48,333
Speaker 3: you know, like you know, driving between cities is the

1611
01:19:48,333 --> 01:19:49,572
Speaker 3: first place it starts, right.

1612
01:19:49,532 --> 01:19:51,972
Speaker 4: I think you should say your car granddad conversation. Yeah,

1613
01:19:52,013 --> 01:19:52,452
Speaker 4: a lot of.

1614
01:19:52,372 --> 01:19:55,572
Speaker 3: People out there that have had that, because a car

1615
01:19:55,652 --> 01:19:59,013
Speaker 3: is freedom, you know. Yeah, And so people's lives get

1616
01:19:59,093 --> 01:20:01,652
Speaker 3: quite small, can get quite small if they can't drive right.

1617
01:20:01,812 --> 01:20:02,412
Speaker 4: Yeah.

1618
01:20:02,612 --> 01:20:04,612
Speaker 3: Yeah. This person says, Matt, have you lost your V

1619
01:20:04,732 --> 01:20:08,612
Speaker 3: plates yet? Well, that's a totally different question I added

1620
01:20:08,612 --> 01:20:09,373
Speaker 3: to this discussion.

1621
01:20:09,532 --> 01:20:11,612
Speaker 4: Are you going to answer we I've got two kids.

1622
01:20:12,732 --> 01:20:15,013
Speaker 4: It's ten parst three oh one hundred and eighty ten

1623
01:20:15,053 --> 01:20:17,492
Speaker 4: eighty is that number to go? The news talk sa'd

1624
01:20:17,532 --> 01:20:20,052
Speaker 4: be thirteen past three. So we're talking about the idea

1625
01:20:20,053 --> 01:20:24,052
Speaker 4: of S plates for senior drivers. Is this just ageism

1626
01:20:24,612 --> 01:20:27,732
Speaker 4: or is it to protect our older drivers on the road.

1627
01:20:27,732 --> 01:20:29,692
Speaker 4: And if you ever had to have that conversation with

1628
01:20:29,732 --> 01:20:32,213
Speaker 4: your parents and your grandparents came a time where they

1629
01:20:32,253 --> 01:20:34,173
Speaker 4: just went safe on the road, and you had to

1630
01:20:34,173 --> 01:20:35,652
Speaker 4: ask them to give up their license. I eight one

1631
01:20:35,732 --> 01:20:37,412
Speaker 4: hundred and eighty ten eighty is the number to call.

1632
01:20:37,772 --> 01:20:40,253
Speaker 3: Don What do you think about s plates?

1633
01:20:40,772 --> 01:20:44,492
Speaker 5: I think it's extremely offensive. I'm eighty, I'm just driving

1634
01:20:44,492 --> 01:20:47,652
Speaker 5: home from work. I resigned for my full time work

1635
01:20:47,692 --> 01:20:49,492
Speaker 5: at the end of last year, but I'm still working

1636
01:20:50,452 --> 01:20:54,452
Speaker 5: part time, and I would find an offensive. I think

1637
01:20:54,492 --> 01:20:59,213
Speaker 5: if you've got a parent who has memory loss and

1638
01:20:59,893 --> 01:21:02,333
Speaker 5: you've got concerns about them, you can speak to their

1639
01:21:02,372 --> 01:21:06,372
Speaker 5: doctor and arrange to get restrictions on their license so

1640
01:21:06,372 --> 01:21:08,213
Speaker 5: I can just write it with them five ks or so,

1641
01:21:08,853 --> 01:21:10,572
Speaker 5: still go to the supermarket, Still have a bit of

1642
01:21:10,612 --> 01:21:15,293
Speaker 5: dignity this next weekend. After next I've got a five

1643
01:21:15,333 --> 01:21:18,652
Speaker 5: and hour drive return drive from more often they have

1644
01:21:18,692 --> 01:21:22,012
Speaker 5: a lot north north and back, and I'm absolutely confident

1645
01:21:22,053 --> 01:21:23,652
Speaker 5: about that. I've got no worries at all.

1646
01:21:24,293 --> 01:21:28,253
Speaker 3: Do you think that you are you know, normal for

1647
01:21:28,452 --> 01:21:31,253
Speaker 3: your age or do you think you're advanced for your age?

1648
01:21:31,333 --> 01:21:33,532
Speaker 3: You know, you know what I mean? Do you think

1649
01:21:33,572 --> 01:21:35,692
Speaker 3: that say because there's different eighty year olds?

1650
01:21:35,732 --> 01:21:35,892
Speaker 2: Right?

1651
01:21:35,893 --> 01:21:38,133
Speaker 3: You sound like a very clear headed eight year olds.

1652
01:21:38,173 --> 01:21:41,012
Speaker 3: You sound like you your sweet airs with your driving,

1653
01:21:41,412 --> 01:21:43,452
Speaker 3: But that that wouldn't be true for all eighty year olds,

1654
01:21:43,452 --> 01:21:43,772
Speaker 3: would it.

1655
01:21:44,812 --> 01:21:47,572
Speaker 5: I mean, I age doesn't necessarily come into it. There's

1656
01:21:47,612 --> 01:21:51,612
Speaker 5: people in their in their forties and fifties who start

1657
01:21:51,692 --> 01:21:58,972
Speaker 5: to suffer, unfortunately from dementia. Yeah, it isn't necessarily the terminus. Yeah,

1658
01:21:58,973 --> 01:22:02,692
Speaker 5: I'm fitting active. I sall, you know, do pretty much everything.

1659
01:22:02,692 --> 01:22:03,173
Speaker 5: I always this.

1660
01:22:04,013 --> 01:22:07,492
Speaker 3: It's interesting because most most accidents they happen on the

1661
01:22:07,572 --> 01:22:10,932
Speaker 3: roads are males under twenty five, aren't they.

1662
01:22:11,133 --> 01:22:11,852
Speaker 4: I think you're right.

1663
01:22:11,933 --> 01:22:14,333
Speaker 3: So, I mean, if you can have esplates, you'll be

1664
01:22:14,333 --> 01:22:17,053
Speaker 3: be having eye plates for idiots under twenty five.

1665
01:22:18,532 --> 01:22:18,812
Speaker 5: True.

1666
01:22:19,612 --> 01:22:21,532
Speaker 3: Yeah, that's what the That's the way the insurance companies

1667
01:22:21,532 --> 01:22:22,293
Speaker 3: look at it, don't they.

1668
01:22:26,372 --> 01:22:33,412
Speaker 5: Moment are the high wal kids you don't have who

1669
01:22:33,452 --> 01:22:35,253
Speaker 5: are hooming up up and down the roads and around

1670
01:22:35,293 --> 01:22:38,213
Speaker 5: the plot paths and some of the effluent areas.

1671
01:22:38,732 --> 01:22:41,213
Speaker 4: Yeah, don you make a good point. I'm just thinking,

1672
01:22:41,253 --> 01:22:42,732
Speaker 4: I'm not going to name who this person was, but

1673
01:22:42,772 --> 01:22:45,092
Speaker 4: it was someone loosely associated to me and a bit older,

1674
01:22:45,293 --> 01:22:47,652
Speaker 4: but that had a stroke and they just refuse to

1675
01:22:47,853 --> 01:22:50,213
Speaker 4: stop driving to the point that it came, you know,

1676
01:22:50,293 --> 01:22:53,293
Speaker 4: pretty critical that you know that that had an accident

1677
01:22:53,333 --> 01:22:56,052
Speaker 4: on their driveway, but they still just refuse to say

1678
01:22:56,293 --> 01:22:58,412
Speaker 4: I'm fine, I can you know, I need this to

1679
01:22:58,412 --> 01:23:01,253
Speaker 4: get around. So it's having that conversation with with people

1680
01:23:01,333 --> 01:23:03,812
Speaker 4: in that situation is incredibly tough. And you know, the

1681
01:23:03,853 --> 01:23:05,932
Speaker 4: idea of even an et plate to say, hey, maybe

1682
01:23:06,013 --> 01:23:08,053
Speaker 4: just be a bit careful around this person because they're

1683
01:23:08,093 --> 01:23:09,093
Speaker 4: not as good as they used to be.

1684
01:23:10,213 --> 01:23:12,772
Speaker 5: Yeah, that's why it's really important when you get to

1685
01:23:13,372 --> 01:23:17,013
Speaker 5: my age or even younger, to have a power of

1686
01:23:17,013 --> 01:23:21,852
Speaker 5: attorney in place, and and certainly one for your health

1687
01:23:21,853 --> 01:23:25,532
Speaker 5: and well being. And it's a sign for that person

1688
01:23:25,532 --> 01:23:28,932
Speaker 5: I have talked to their doctor, so the doctor will

1689
01:23:28,973 --> 01:23:30,253
Speaker 5: do what has to be done.

1690
01:23:30,532 --> 01:23:30,772
Speaker 20: Right.

1691
01:23:30,853 --> 01:23:35,213
Speaker 3: So, if say, fifteen years from now, one of your

1692
01:23:35,812 --> 01:23:37,892
Speaker 3: you know, loved ones came up to you and said,

1693
01:23:38,732 --> 01:23:42,173
Speaker 3: I think that you know you need to to you know,

1694
01:23:42,173 --> 01:23:44,213
Speaker 3: you're not driving as well as you would do you

1695
01:23:44,213 --> 01:23:46,133
Speaker 3: think you would be the kind of person that could

1696
01:23:46,173 --> 01:23:49,812
Speaker 3: take that in the spirit that it was intended or

1697
01:23:49,893 --> 01:23:51,612
Speaker 3: do you think that that would be offensive?

1698
01:23:53,612 --> 01:23:56,812
Speaker 5: No, I'd listen to it. But I've always I've always

1699
01:23:57,812 --> 01:24:02,172
Speaker 5: done things probably before I needed to, Like at the moment,

1700
01:24:02,492 --> 01:24:05,293
Speaker 5: because of my age, I'm sorting things out. I'm giving

1701
01:24:05,333 --> 01:24:09,293
Speaker 5: things to my grandkids and nieces and nephews, the people

1702
01:24:09,333 --> 01:24:13,092
Speaker 5: who have those particular interests. So it's not the message

1703
01:24:13,253 --> 01:24:16,893
Speaker 5: round here for someone else to clean up. Yeah, and

1704
01:24:17,692 --> 01:24:21,692
Speaker 5: I've resigned some things because you know, I've got a wife,

1705
01:24:21,692 --> 01:24:23,213
Speaker 5: and I realized I have to be home more in

1706
01:24:23,253 --> 01:24:26,812
Speaker 5: the evenings, so resigned from some committees. I'm on, so

1707
01:24:27,853 --> 01:24:32,572
Speaker 5: I I do things hopefully before I'm forced into it.

1708
01:24:33,213 --> 01:24:34,412
Speaker 5: I've always been like that one.

1709
01:24:34,772 --> 01:24:36,772
Speaker 3: Yeah, good on you're Don. I appreciate that. And I

1710
01:24:36,772 --> 01:24:39,412
Speaker 3: wouldn't go near you with an s plate exactly.

1711
01:24:39,612 --> 01:24:41,852
Speaker 4: It's a nice ticks there. If he's eighty, then I'm ninety.

1712
01:24:41,933 --> 01:24:43,932
Speaker 4: He sounded like a young eighty, I've got to say.

1713
01:24:44,133 --> 01:24:48,013
Speaker 3: But that's why age is not really a good representation

1714
01:24:48,093 --> 01:24:51,892
Speaker 3: of anything, right, Yeah, Because you take Joe Biden. So

1715
01:24:51,973 --> 01:24:53,732
Speaker 3: there's plenty of people that were the same age with

1716
01:24:53,812 --> 01:24:56,572
Speaker 3: Joe Biden that were in a lot better shape than

1717
01:24:56,652 --> 01:24:59,732
Speaker 3: Joe Biden, you know what I mean. And because there's

1718
01:24:59,732 --> 01:25:02,412
Speaker 3: people that are in no good shape, as Don said,

1719
01:25:02,452 --> 01:25:04,892
Speaker 3: when they're when they're fifty. My whole thing with this

1720
01:25:05,213 --> 01:25:09,052
Speaker 3: s plate thing is, you know, from seven five onwards,

1721
01:25:09,053 --> 01:25:11,572
Speaker 3: you have to provide a medical certificate every time you

1722
01:25:11,572 --> 01:25:15,572
Speaker 3: renew your license. Right, so you are already you know

1723
01:25:15,652 --> 01:25:20,492
Speaker 3: you're you're already being assessed for eyesight, cognitive ability and

1724
01:25:20,572 --> 01:25:23,692
Speaker 3: physical capability and such to drive safety, aren't you?

1725
01:25:23,893 --> 01:25:23,973
Speaker 16: So?

1726
01:25:24,133 --> 01:25:25,972
Speaker 3: Isn't by virtue of the fact that you are still

1727
01:25:26,013 --> 01:25:28,732
Speaker 3: getting your license mean that you don't need this play?

1728
01:25:28,812 --> 01:25:30,732
Speaker 4: It's a very fair point. If your doctor signs it

1729
01:25:30,772 --> 01:25:33,133
Speaker 4: off and he says, you're a okay, I mean you're

1730
01:25:33,133 --> 01:25:35,612
Speaker 4: going to listen to the doctor. But what do you say, oh,

1731
01:25:35,612 --> 01:25:37,732
Speaker 4: eight hundred eighty ten eighty is that number of call?

1732
01:25:37,973 --> 01:25:40,933
Speaker 4: Are the idea of the s plates? Is it agism?

1733
01:25:41,133 --> 01:25:42,652
Speaker 4: Or does it make sense to you? And if you've

1734
01:25:42,652 --> 01:25:44,572
Speaker 4: ever had to have that conversation with your parents or

1735
01:25:44,612 --> 01:25:47,732
Speaker 4: grandparents that it's probably not safe for them to drive anymore.

1736
01:25:47,812 --> 01:25:50,852
Speaker 4: Love to hear your story. It is nineteen past three,

1737
01:25:50,933 --> 01:25:51,293
Speaker 4: bag for.

1738
01:25:51,333 --> 01:25:58,772
Speaker 1: Surely mad Heathen Tyler Adams afternoons call oh eight hundred

1739
01:25:58,853 --> 01:26:01,013
Speaker 1: eighty ten eighty on used talk ZIB.

1740
01:26:00,973 --> 01:26:02,852
Speaker 4: Twenty one past three. We're talking about the idea of

1741
01:26:02,893 --> 01:26:06,412
Speaker 4: these s plates for senior drivers. Is it agism or

1742
01:26:06,452 --> 01:26:07,412
Speaker 4: does it make a lot of sense?

1743
01:26:07,492 --> 01:26:09,732
Speaker 3: My mother is nearly no three, says Joe and still

1744
01:26:09,812 --> 01:26:12,093
Speaker 3: driving all over Auckland. You see, that's the thing.

1745
01:26:12,372 --> 01:26:17,813
Speaker 4: Age is just a number. Yeah, Yeah, Mary, Good, afternoon, afternoon.

1746
01:26:17,893 --> 01:26:20,532
Speaker 4: So you have recently had this chat with your mother.

1747
01:26:22,173 --> 01:26:22,372
Speaker 8: Yeah.

1748
01:26:22,532 --> 01:26:27,732
Speaker 22: So I started caring for her full time and about

1749
01:26:27,732 --> 01:26:31,532
Speaker 22: August basically just being her memory and her cook and

1750
01:26:31,772 --> 01:26:34,492
Speaker 22: my brother and I disagreed about whether she should be

1751
01:26:34,492 --> 01:26:38,333
Speaker 22: able to drive. And I'm ex police and I said

1752
01:26:38,492 --> 01:26:42,012
Speaker 22: there's no way she should be driving, and he said,

1753
01:26:42,452 --> 01:26:46,133
Speaker 22: I think she's okay, and I said, well, I think

1754
01:26:46,133 --> 01:26:48,652
Speaker 22: we need to let the doctor decide. And it didn't

1755
01:26:48,652 --> 01:26:51,213
Speaker 22: take very long at all for the doctor to make

1756
01:26:51,293 --> 01:26:55,013
Speaker 22: that decision and say that how he put it was

1757
01:26:55,053 --> 01:26:57,652
Speaker 22: that it's not safe for you to drive, and it's

1758
01:26:57,692 --> 01:27:01,133
Speaker 22: not safe for other people for you to drive. And

1759
01:27:01,812 --> 01:27:04,852
Speaker 22: I've been in a position in my policing days where

1760
01:27:04,893 --> 01:27:09,492
Speaker 22: I've had to say to people that I would be

1761
01:27:10,893 --> 01:27:16,852
Speaker 22: contacting n ZTA about their medical fitness to drive. One

1762
01:27:16,893 --> 01:27:19,012
Speaker 22: of them was an older gentleman who went the wrong

1763
01:27:19,053 --> 01:27:23,173
Speaker 22: way up and off remp into oncoming traffic. Unfortunately it

1764
01:27:23,293 --> 01:27:29,093
Speaker 22: was only a slow collision. And another one was a

1765
01:27:29,173 --> 01:27:32,133
Speaker 22: granddad who had gone to pick up his grandkids from

1766
01:27:32,213 --> 01:27:36,812
Speaker 22: school and he took out a six foot high solid

1767
01:27:36,812 --> 01:27:37,612
Speaker 22: wooden sense.

1768
01:27:37,772 --> 01:27:39,972
Speaker 4: Oh my god, were the grandkids in the car?

1769
01:27:41,133 --> 01:27:44,093
Speaker 22: No, he was in the car park area. But what

1770
01:27:44,253 --> 01:27:47,053
Speaker 22: happened was when I arrived, he was being assessed by

1771
01:27:47,173 --> 01:27:52,293
Speaker 22: ambulance and he was cleared by them, and then I

1772
01:27:52,492 --> 01:27:54,932
Speaker 22: said to him that I needed to speak with him,

1773
01:27:55,492 --> 01:27:58,053
Speaker 22: and he thought because ambulance had cleared him, that he

1774
01:27:58,213 --> 01:28:01,012
Speaker 22: was good to go. And I had to basically say

1775
01:28:01,053 --> 01:28:04,173
Speaker 22: to him, Sir, if you drive off, you can't drive off,

1776
01:28:04,213 --> 01:28:07,532
Speaker 22: otherwise I'll have to arrest your You know you can't

1777
01:28:07,612 --> 01:28:10,612
Speaker 22: do that. And then one of my colleagues came along

1778
01:28:10,652 --> 01:28:12,812
Speaker 22: because he realized that he was getting mad at me,

1779
01:28:12,933 --> 01:28:16,452
Speaker 22: and he got mad at him. And long story short

1780
01:28:16,532 --> 01:28:18,452
Speaker 22: was that I forbid him to drive until he got

1781
01:28:18,452 --> 01:28:23,173
Speaker 22: medical clearance and advised MZTA. And he actually had an

1782
01:28:23,213 --> 01:28:26,293
Speaker 22: offer on his foot from diabetes, and he had cut

1783
01:28:26,333 --> 01:28:29,893
Speaker 22: the top part of his sneaker off and so it

1784
01:28:30,053 --> 01:28:34,253
Speaker 22: sort of acted. The bottom of the sneaker got caught

1785
01:28:34,652 --> 01:28:37,452
Speaker 22: on the accelerator, which.

1786
01:28:37,293 --> 01:28:38,973
Speaker 5: Was part of the problem.

1787
01:28:38,973 --> 01:28:42,492
Speaker 22: But I when I went to his house to talk

1788
01:28:42,532 --> 01:28:45,853
Speaker 22: to him about it a few days later, he apologized

1789
01:28:46,213 --> 01:28:48,253
Speaker 22: to me and he said, I you the officer that

1790
01:28:48,333 --> 01:28:50,692
Speaker 22: I got mad at and I said death. And I

1791
01:28:50,812 --> 01:28:55,492
Speaker 22: understand it because it's taking away your independence. But I said,

1792
01:28:55,612 --> 01:28:57,293
Speaker 22: I don't want to be the person that he has

1793
01:28:57,293 --> 01:29:00,053
Speaker 22: to go and tell your wife that something's happened to

1794
01:29:00,093 --> 01:29:02,493
Speaker 22: you or that you've hurt someone.

1795
01:29:02,173 --> 01:29:07,173
Speaker 4: Else, particularly when, particularly when you know he was going

1796
01:29:07,333 --> 01:29:09,093
Speaker 4: to pick up the grandkids. That's going to be where

1797
01:29:09,093 --> 01:29:12,492
Speaker 4: the rubber hits the road that you know, as children

1798
01:29:12,532 --> 01:29:16,253
Speaker 4: of that person, you'd be, you know, thinking cheaper, so

1799
01:29:17,013 --> 01:29:19,652
Speaker 4: love you, you know, dad, But then you're about to

1800
01:29:19,652 --> 01:29:22,532
Speaker 4: pick up my children and you may not be in

1801
01:29:22,532 --> 01:29:25,452
Speaker 4: a fit state to drive. I mean at that point,

1802
01:29:25,612 --> 01:29:28,852
Speaker 4: you know, it's pretty well easier to have that conversation, right.

1803
01:29:30,293 --> 01:29:32,412
Speaker 22: Well, you would think so. But what I hear a

1804
01:29:32,452 --> 01:29:36,293
Speaker 22: lot is people saying, oh, they only drive around town,

1805
01:29:36,893 --> 01:29:40,772
Speaker 22: they don't leave town. But in my view, there's more

1806
01:29:40,812 --> 01:29:43,892
Speaker 22: hazards in town than there is out on the open road.

1807
01:29:44,732 --> 01:29:47,253
Speaker 22: Like the open road, they might be going faster, but

1808
01:29:47,412 --> 01:29:51,532
Speaker 22: in town, there's multiple driveways, there's lots of kids, their

1809
01:29:51,532 --> 01:29:54,692
Speaker 22: reactions aren't as good as what they used to be,

1810
01:29:54,853 --> 01:29:59,333
Speaker 22: and it is sad, but there are ways around it.

1811
01:29:59,572 --> 01:30:02,772
Speaker 22: And the argument, you know, the debate I used to

1812
01:30:02,812 --> 01:30:05,052
Speaker 22: have with my brother was I said, if mum crashes

1813
01:30:05,133 --> 01:30:08,253
Speaker 22: and hurts herself, we're not going to feel good about it.

1814
01:30:08,372 --> 01:30:11,612
Speaker 22: If she crashes and hurts someone else, that's on us

1815
01:30:11,652 --> 01:30:14,052
Speaker 22: because we could have done something about it and we didn't.

1816
01:30:14,173 --> 01:30:17,093
Speaker 22: And I said that that doesn't sit well with me.

1817
01:30:17,572 --> 01:30:21,212
Speaker 22: And I think that a lot of times that people

1818
01:30:22,452 --> 01:30:25,333
Speaker 22: they don't like dying the hard stuff, and that is

1819
01:30:25,372 --> 01:30:27,612
Speaker 22: a hard conversation that you may have to have with

1820
01:30:27,772 --> 01:30:30,293
Speaker 22: an elderly parent, or it could even be a friend

1821
01:30:30,532 --> 01:30:35,213
Speaker 22: who has had maybe a stroke, or maybe there's something

1822
01:30:35,253 --> 01:30:38,333
Speaker 22: else going on that means that they shouldn't be driving

1823
01:30:38,452 --> 01:30:40,253
Speaker 22: and you might have to have that conversation.

1824
01:30:40,612 --> 01:30:44,732
Speaker 4: Yeah, just rolling back to this idea of splates, do

1825
01:30:44,772 --> 01:30:46,572
Speaker 4: you see any merit in that, Mary, I mean, clearly

1826
01:30:46,612 --> 01:30:48,732
Speaker 4: if they've got medical sign off to still drive, But

1827
01:30:48,772 --> 01:30:51,572
Speaker 4: do you think that would help in terms of, you know,

1828
01:30:51,652 --> 01:30:54,812
Speaker 4: people maybe being a bit frustrated and losing patience with

1829
01:30:54,893 --> 01:30:57,893
Speaker 4: senior drivers.

1830
01:30:57,253 --> 01:30:58,532
Speaker 6: I don't know.

1831
01:30:58,572 --> 01:31:01,372
Speaker 22: It's a double edged sword because there would be people

1832
01:31:01,532 --> 01:31:03,452
Speaker 22: that would see the st plate and then they would

1833
01:31:03,452 --> 01:31:07,012
Speaker 22: become a target. And I don't even though someone's medically

1834
01:31:07,333 --> 01:31:10,892
Speaker 22: who need to drive, doesn't necessarily in my view, you

1835
01:31:10,933 --> 01:31:13,173
Speaker 22: make them okay to drive. I actually think there should

1836
01:31:13,213 --> 01:31:18,333
Speaker 22: be some further sort of tests that has to be done. Yeah,

1837
01:31:18,412 --> 01:31:23,093
Speaker 22: like a driving test because you know roaver ULLs change,

1838
01:31:23,253 --> 01:31:26,892
Speaker 22: and yeah, I mean I've been in cars with people

1839
01:31:26,893 --> 01:31:31,612
Speaker 22: when they've been driving along and I'm sitting there as

1840
01:31:31,652 --> 01:31:36,053
Speaker 22: a passenger. I'm a terrible passenger. But as a passenger

1841
01:31:36,133 --> 01:31:39,253
Speaker 22: you see stuff and you don't want to say anything

1842
01:31:39,253 --> 01:31:41,173
Speaker 22: at the time because you don't want to upset your

1843
01:31:41,253 --> 01:31:43,973
Speaker 22: driver because that could make the situation worse. Where they

1844
01:31:44,053 --> 01:31:46,852
Speaker 22: might be hugging the right hand lane where actual fact

1845
01:31:46,893 --> 01:31:50,532
Speaker 22: they should be in the left hand lane, and you

1846
01:31:50,572 --> 01:31:54,253
Speaker 22: know the going around roundabouts indicating on roundabouts, which I

1847
01:31:54,293 --> 01:31:55,972
Speaker 22: know is a topic that comes up a lot.

1848
01:31:56,093 --> 01:31:59,692
Speaker 4: But yeah, yeah, you've raised a lot of good points. Mary,

1849
01:31:59,732 --> 01:32:04,012
Speaker 4: thank you very much for giving us a call. Quickly, Michael,

1850
01:32:04,053 --> 01:32:06,213
Speaker 4: We've got about sixty seconds. What's your thoughts?

1851
01:32:06,492 --> 01:32:10,572
Speaker 23: Yes, yes, I'm very quick. He sticker for me. I've

1852
01:32:10,612 --> 01:32:13,252
Speaker 23: done five million miles and I'm.

1853
01:32:13,013 --> 01:32:14,212
Speaker 6: Eighty years of age.

1854
01:32:14,572 --> 01:32:15,732
Speaker 24: Not bad, not bad.

1855
01:32:16,133 --> 01:32:20,213
Speaker 23: He for experience and the sales rep for thirty years.

1856
01:32:20,772 --> 01:32:22,572
Speaker 3: I'll tell you what if you went up to your dad.

1857
01:32:22,692 --> 01:32:24,532
Speaker 3: In my case, my dad and gave him an EE sticker.

1858
01:32:24,572 --> 01:32:26,173
Speaker 3: It would go down a lot better than their sticker.

1859
01:32:27,572 --> 01:32:31,692
Speaker 23: Exec exactly. We're experience and I'm eighty and I'm still driving.

1860
01:32:31,812 --> 01:32:34,972
Speaker 23: My doctor said, I'm okay, but I don't drink alcohol

1861
01:32:35,293 --> 01:32:36,813
Speaker 23: and I eat my carrots.

1862
01:32:36,812 --> 01:32:37,492
Speaker 5: Pretty simple.

1863
01:32:38,133 --> 01:32:40,372
Speaker 4: Cut on your Michael and your Michael. You sound very chipper,

1864
01:32:40,612 --> 01:32:41,653
Speaker 4: sound very experienced.

1865
01:32:41,732 --> 01:32:43,133
Speaker 3: It doesn't sound like a boy eracer to me.

1866
01:32:43,253 --> 01:32:45,933
Speaker 4: No, he certainly doesn't write great discussion. Thank you very

1867
01:32:46,013 --> 01:32:49,092
Speaker 4: much everyone who called antiques on that. Coming up next,

1868
01:32:49,093 --> 01:32:51,093
Speaker 4: we'll get the headlines and then the moment you're all

1869
01:32:51,133 --> 01:32:54,092
Speaker 4: waiting for New Zealander of the week.

1870
01:32:55,572 --> 01:32:59,092
Speaker 19: US Talk said, be headlines with your Ride, New Zealand's

1871
01:32:59,173 --> 01:33:03,173
Speaker 19: number one taxi app. Download your ride today and there.

1872
01:33:03,293 --> 01:33:06,652
Speaker 19: Forty eight hours after Wellington's mayor went for a swim

1873
01:33:06,692 --> 01:33:09,692
Speaker 19: to prove the sea was safe, the Southern Coast has

1874
01:33:09,732 --> 01:33:13,213
Speaker 19: again been declared unsuitable for swimming after heavy rain and

1875
01:33:13,213 --> 01:33:16,133
Speaker 19: Wellington overnight people are being advised there may be an

1876
01:33:16,133 --> 01:33:20,892
Speaker 19: increase in bacteria. The Education Minister is not surprised at

1877
01:33:20,933 --> 01:33:24,653
Speaker 19: negative feedback from unions on the government's pace of change.

1878
01:33:25,013 --> 01:33:27,772
Speaker 19: Erica Stanford says the union would see the changes as

1879
01:33:27,853 --> 01:33:32,053
Speaker 19: too much because they are in collective bargaining. The PSA

1880
01:33:32,173 --> 01:33:36,212
Speaker 19: says the government's talk about supporting science was just lip service.

1881
01:33:36,652 --> 01:33:41,012
Speaker 19: A voluntary redundancy program at the Bioeconomy Science Institute has

1882
01:33:41,053 --> 01:33:44,412
Speaker 19: resulted in one hundred and thirty four job cuts. The

1883
01:33:44,452 --> 01:33:47,933
Speaker 19: PSA says the government's ignored experts who say lack of

1884
01:33:47,973 --> 01:33:53,012
Speaker 19: investment in science and technology is leading to sluggish productivity.

1885
01:33:53,412 --> 01:33:56,372
Speaker 19: Christ Urt is turning up the volume with the electric

1886
01:33:56,452 --> 01:34:00,852
Speaker 19: Avenue underway in Hagley Park. Last year's festival produced ten

1887
01:34:00,893 --> 01:34:05,652
Speaker 19: point five million dollars in visitors spending. The vegetables that

1888
01:34:05,732 --> 01:34:09,092
Speaker 19: are healthier frozen and the one to have void buying

1889
01:34:09,173 --> 01:34:11,892
Speaker 19: fresh in New Zealand. You can read more at Inzaid

1890
01:34:11,933 --> 01:34:15,213
Speaker 19: Herald Premium. Back now to matt Ethan Tyler Adams.

1891
01:34:15,412 --> 01:34:20,213
Speaker 1: The Matt Heath and Tyler Adams Afternoons New Zealander of

1892
01:34:20,253 --> 01:34:21,012
Speaker 1: the Week Basies.

1893
01:34:21,053 --> 01:34:22,532
Speaker 3: You know it's that time once again for your fave

1894
01:34:22,652 --> 01:34:25,612
Speaker 3: weekly awards ceremony, the hugely popular Matt Heath and Tyler

1895
01:34:25,652 --> 01:34:29,492
Speaker 3: Adams Afternoons on news doorg zb New Zealander of the Week.

1896
01:34:29,612 --> 01:34:32,852
Speaker 3: As always there'll be two runners up, but just the

1897
01:34:32,893 --> 01:34:37,932
Speaker 3: one winner. So without further pissing around, let's honor our

1898
01:34:37,933 --> 01:34:42,173
Speaker 3: great country by honoring some great kiwis dumped a month ago,

1899
01:34:42,333 --> 01:34:45,692
Speaker 3: Dreams shattered, found Wanton humiliated, ridiculed by some.

1900
01:34:45,893 --> 01:34:47,972
Speaker 25: But instead of fading off into the night, He's done

1901
01:34:47,973 --> 01:34:50,892
Speaker 25: the right thing, kept his mouth shut, Bank seven figures

1902
01:34:50,933 --> 01:34:55,012
Speaker 25: and joined the rain Taggers for the legendary Barbarians on.

1903
01:34:54,973 --> 01:34:58,933
Speaker 3: Their June tour. Razor Robinson for getting back on the

1904
01:34:58,973 --> 01:35:02,053
Speaker 3: coaching horse jumping on the barbers.

1905
01:35:02,893 --> 01:35:04,812
Speaker 10: You are our second.

1906
01:35:04,652 --> 01:35:07,892
Speaker 3: Runner up for New Zealander of the Week. There's been

1907
01:35:07,933 --> 01:35:11,372
Speaker 3: a lot of to recently about Wellington soiling itself directly

1908
01:35:11,372 --> 01:35:14,173
Speaker 3: into the Cook Strait, whilst the majority of the city

1909
01:35:14,173 --> 01:35:17,053
Speaker 3: in the country is rightly furious that previous counselors for

1910
01:35:17,173 --> 01:35:22,572
Speaker 3: rationally choosing vacuous carbon signaling over sewage services. One brave

1911
01:35:22,772 --> 01:35:26,333
Speaker 3: local body politician Donda rash Shirt jumped in the drink

1912
01:35:26,532 --> 01:35:29,452
Speaker 3: and face the floating wet wipes and face flies at

1913
01:35:29,532 --> 01:35:32,253
Speaker 3: Lyle Bay for putting your money where your mouth is

1914
01:35:32,253 --> 01:35:35,413
Speaker 3: by putting your mouth where the mucky water is. Wellington

1915
01:35:35,452 --> 01:35:38,812
Speaker 3: Mayor Andrew Little, you are first runner up for New

1916
01:35:38,893 --> 01:35:43,412
Speaker 3: Zealander of the Week. But there can be only one.

1917
01:35:43,532 --> 01:35:45,972
Speaker 25: Some would be happy to relegate you to a few

1918
01:35:46,093 --> 01:35:48,933
Speaker 25: numbers in and out, but in a crisis when the

1919
01:35:49,013 --> 01:35:52,412
Speaker 25: power goes down and the internet fails, or yet just

1920
01:35:52,492 --> 01:35:55,692
Speaker 25: don't want that pesty government sticking their noses in where

1921
01:35:55,692 --> 01:35:56,572
Speaker 25: they don't belong.

1922
01:35:57,333 --> 01:36:00,412
Speaker 3: Cash is king, even though it doesn't have the King

1923
01:36:00,452 --> 01:36:03,213
Speaker 3: on it yet. This week the Reserve Bank did something

1924
01:36:03,293 --> 01:36:04,012
Speaker 3: right for a change.

1925
01:36:04,093 --> 01:36:06,892
Speaker 25: It's with a call to stop closing and start opening

1926
01:36:07,093 --> 01:36:11,213
Speaker 25: ATMs and branches across the country, reminding us that a

1927
01:36:11,333 --> 01:36:14,012
Speaker 25: day may come when the cash of men fails, when

1928
01:36:14,013 --> 01:36:17,572
Speaker 25: we forsake our coins and break all bonds of physical currency.

1929
01:36:17,772 --> 01:36:20,852
Speaker 3: But it is not this day. Cash money you will

1930
01:36:20,853 --> 01:36:21,852
Speaker 3: live on and our.

1931
01:36:21,732 --> 01:36:25,253
Speaker 25: Wallets and our hearts and under our tables.

1932
01:36:25,293 --> 01:36:31,452
Speaker 26: Sir Edmund, Hillary, Kate, Shephard, Queen Elizabeth, Sir Aparada Nata,

1933
01:36:31,812 --> 01:36:35,692
Speaker 26: Sir Ernest Rutherford and your gang of birds, folks, ferns

1934
01:36:35,732 --> 01:36:36,653
Speaker 26: and shrews.

1935
01:36:37,133 --> 01:36:40,253
Speaker 3: You are still our Kimi cash money in hand, and

1936
01:36:40,372 --> 01:36:41,492
Speaker 3: you are now the man.

1937
01:36:41,572 --> 01:36:46,173
Speaker 25: He and Tyler, Adams and Zealanders of the week take

1938
01:36:46,253 --> 01:36:48,013
Speaker 25: it away, Howie Morison.

1939
01:37:41,732 --> 01:37:58,813
Speaker 10: Right, Matt and Tyler.

1940
01:37:59,133 --> 01:38:02,333
Speaker 4: Oh Well deserved fantastic winner is always the new Zealander

1941
01:38:02,372 --> 01:38:03,772
Speaker 4: the week right. Coming up next, we're gonna have a

1942
01:38:03,853 --> 01:38:07,533
Speaker 4: chat with Sam Vive, founder of New Zealand company Sios Eerospace.

1943
01:38:07,572 --> 01:38:10,213
Speaker 4: These guys are doing incredible things in the world of

1944
01:38:10,333 --> 01:38:13,572
Speaker 4: uncrew autonomous vehicles, so we're gonna have a chat to

1945
01:38:13,652 --> 01:38:15,732
Speaker 4: him about a big contract he's just picked up with

1946
01:38:15,772 --> 01:38:19,012
Speaker 4: the New Zealand Defense Force. It is twenty four to four.

1947
01:38:21,053 --> 01:38:24,293
Speaker 1: The big stories, the big issues, to the big trends

1948
01:38:24,333 --> 01:38:28,253
Speaker 1: and everything in between. Matt Heath and Tyner Adams Afternoons

1949
01:38:28,333 --> 01:38:31,932
Speaker 1: with Scoda play Scoter codes every day at Scoter dot

1950
01:38:31,973 --> 01:38:33,933
Speaker 1: co dot Nz News dog zb.

1951
01:38:33,933 --> 01:38:35,652
Speaker 4: It is twenty one to four.

1952
01:38:35,933 --> 01:38:36,133
Speaker 6: So.

1953
01:38:36,572 --> 01:38:40,092
Speaker 4: Sios Aerospace, New Zealand Company is a global leader in uncrew,

1954
01:38:40,492 --> 01:38:44,132
Speaker 4: uncrewed rather autonomous systems and has recently announced the landmark

1955
01:38:44,173 --> 01:38:46,812
Speaker 4: agreement with the New Zealand Defense Force to supply air,

1956
01:38:47,053 --> 01:38:52,092
Speaker 4: land and sea vehicles alongside specialist services, training and operational support.

1957
01:38:52,093 --> 01:38:55,732
Speaker 4: They're doing incredible things in scioce CEO and founder Sam

1958
01:38:55,893 --> 01:38:58,732
Speaker 4: Vii joins us on the phone. Now, Sam good, afternoons.

1959
01:38:58,772 --> 01:39:03,052
Speaker 3: You Hey good, So, as Titler was saying, You've signed

1960
01:39:03,053 --> 01:39:05,492
Speaker 3: an agreement with the New Zealand Defense Force to supply

1961
01:39:05,652 --> 01:39:09,452
Speaker 3: multi demain autonomous vehicles. Tell us about the SIS drone

1962
01:39:09,532 --> 01:39:11,492
Speaker 3: range that the NZD for buying.

1963
01:39:13,013 --> 01:39:16,812
Speaker 12: Yeah, so, so science we develop and manufacture uncrewed vehicles

1964
01:39:17,133 --> 01:39:19,772
Speaker 12: or drones if you like, across air, land, and sea

1965
01:39:19,933 --> 01:39:25,613
Speaker 12: and subsurface. And this contract with NZDF is actually to

1966
01:39:25,612 --> 01:39:29,213
Speaker 12: procure a number of different drones across the spectrum of

1967
01:39:29,452 --> 01:39:30,453
Speaker 12: of all domains.

1968
01:39:30,933 --> 01:39:31,133
Speaker 2: Uh.

1969
01:39:31,173 --> 01:39:34,372
Speaker 12: And we are providing it to NZDF for ultimately for

1970
01:39:34,532 --> 01:39:38,572
Speaker 12: experimentations so they can learn the capability and and we

1971
01:39:38,612 --> 01:39:41,412
Speaker 12: can provide them obviously support in that. And you know,

1972
01:39:41,532 --> 01:39:44,092
Speaker 12: really it's it's it's it's I think it's pretty huge

1973
01:39:44,812 --> 01:39:49,093
Speaker 12: for obviously SIUs, but also for NZDF in regards to

1974
01:39:50,133 --> 01:39:55,092
Speaker 12: further acquiring modern technology that's already been been used globally.

1975
01:39:55,452 --> 01:39:59,732
Speaker 3: So did you say we drone subs submarine drones? Is

1976
01:39:59,772 --> 01:40:01,012
Speaker 3: that one of the one of the domains.

1977
01:40:02,412 --> 01:40:06,892
Speaker 12: So we do, correct, we do do subsurface submarine drones,

1978
01:40:07,532 --> 01:40:12,092
Speaker 12: but at the subsurface hasn't been included in this experimentation contract.

1979
01:40:12,133 --> 01:40:17,492
Speaker 12: It's only a air drones land so ground vehicles as

1980
01:40:17,492 --> 01:40:21,293
Speaker 12: well as U s bs so onquid surface vessels or

1981
01:40:21,973 --> 01:40:23,253
Speaker 12: naval drone boats if you like.

1982
01:40:23,692 --> 01:40:27,093
Speaker 3: So you have this New Zealand Defense Force contract and

1983
01:40:27,333 --> 01:40:30,293
Speaker 3: supplying stuff for the UK military, and you've been active

1984
01:40:30,293 --> 01:40:32,452
Speaker 3: in Ukraine. How have you managed to create this high

1985
01:40:32,452 --> 01:40:35,213
Speaker 3: TechEd drone company in the lol New Zealand.

1986
01:40:39,253 --> 01:40:43,013
Speaker 12: Yeah, that's a good question, Nate. Now, look, there's some

1987
01:40:43,372 --> 01:40:46,612
Speaker 12: there's some geniuses here in New Zealand's you know, and

1988
01:40:46,612 --> 01:40:49,772
Speaker 12: and and fortunately we just have an incredibly, very very

1989
01:40:49,812 --> 01:40:50,532
Speaker 12: talented team.

1990
01:40:51,013 --> 01:40:51,253
Speaker 6: Uh.

1991
01:40:51,333 --> 01:40:55,093
Speaker 12: And we had the right strategy you know, a couple

1992
01:40:55,133 --> 01:40:57,732
Speaker 12: of years ago that we implemented. We implemented it very

1993
01:40:57,853 --> 01:41:01,653
Speaker 12: very strongly. And it's fair to say, you know, we're

1994
01:41:01,652 --> 01:41:06,933
Speaker 12: pretty aggressive in our growth and our approach to development

1995
01:41:07,013 --> 01:41:10,412
Speaker 12: and trying to access them markets. And you know, now

1996
01:41:10,412 --> 01:41:16,013
Speaker 12: we have some pivotal contracts around the world, and you know,

1997
01:41:16,053 --> 01:41:22,652
Speaker 12: we're certainly one of the few companies globally with uncrewed

1998
01:41:22,732 --> 01:41:26,852
Speaker 12: vehicles or drones across all domains that are also operationally proven,

1999
01:41:26,933 --> 01:41:28,973
Speaker 12: you know, So we're not just we don't just have

2000
01:41:29,053 --> 01:41:35,013
Speaker 12: cat images and prototypes. We actually have real operationally successful,

2001
01:41:35,293 --> 01:41:37,972
Speaker 12: validated and proven systems and vehicles.

2002
01:41:38,333 --> 01:41:41,053
Speaker 3: When you say uncrewed, what does that actually mean? Are

2003
01:41:41,093 --> 01:41:44,852
Speaker 3: your machines making military or combat decisions on their own

2004
01:41:44,973 --> 01:41:47,132
Speaker 3: or is there a human still in the loop somewhere.

2005
01:41:48,372 --> 01:41:51,053
Speaker 12: Yeah, so there's always a human in the loop. But

2006
01:41:51,213 --> 01:41:53,972
Speaker 12: certainly when I say uncrewed, it's basically you're just removing

2007
01:41:53,973 --> 01:41:57,572
Speaker 12: the pilot out of harm's way. You know, a boat

2008
01:41:57,612 --> 01:42:00,852
Speaker 12: can be a lot smaller than a crewed vessel because

2009
01:42:00,853 --> 01:42:04,293
Speaker 12: you don't have a crew and all the required infrastructure

2010
01:42:04,492 --> 01:42:08,133
Speaker 12: for a crew on board. So in the same goes

2011
01:42:08,173 --> 01:42:12,052
Speaker 12: with it vehicles and ground vehicles. But in terms of

2012
01:42:12,452 --> 01:42:17,372
Speaker 12: you know, our systems are autonomous, but obviously for various requirements,

2013
01:42:17,372 --> 01:42:19,852
Speaker 12: dependent on the mission and depending on the application, you

2014
01:42:19,933 --> 01:42:23,452
Speaker 12: do have a human in the loop at the ultimately

2015
01:42:23,492 --> 01:42:27,093
Speaker 12: at the control end, you know, whether it's satin and

2016
01:42:27,173 --> 01:42:30,492
Speaker 12: plushy office in Wellington or if it's you know, if

2017
01:42:30,532 --> 01:42:36,852
Speaker 12: it's being controlled from another crude vessel, say a navy

2018
01:42:36,893 --> 01:42:39,052
Speaker 12: ship or a navy vessel. You know, you can actually

2019
01:42:39,093 --> 01:42:42,572
Speaker 12: control these vessels. You can control the drones from literally

2020
01:42:42,612 --> 01:42:43,652
Speaker 12: on the other side of the world.

2021
01:42:43,893 --> 01:42:47,572
Speaker 4: Incredible. How much AI technology are you using in these

2022
01:42:47,612 --> 01:42:48,452
Speaker 4: these unmane.

2023
01:42:48,213 --> 01:42:53,293
Speaker 12: Vehicles, Yeah, quite a lot. We have a very very

2024
01:42:53,333 --> 01:42:57,812
Speaker 12: strong software team, so with software and hardware engineering lead

2025
01:42:58,133 --> 01:43:00,652
Speaker 12: and our software team, you know, the majority of the

2026
01:43:00,893 --> 01:43:05,253
Speaker 12: sort of AI is around perception sense in computer vision,

2027
01:43:06,412 --> 01:43:09,772
Speaker 12: we can our systems can make decision making processes, but

2028
01:43:09,812 --> 01:43:13,452
Speaker 12: we don't, uh, you know, there's obviously, particularly in in

2029
01:43:14,053 --> 01:43:17,412
Speaker 12: if you if you're talking about defense customers and different applications,

2030
01:43:17,532 --> 01:43:21,492
Speaker 12: is obviously a potential concern around the use of AI

2031
01:43:21,612 --> 01:43:26,452
Speaker 12: for decision making. And we you know, by dealing with

2032
01:43:26,452 --> 01:43:29,093
Speaker 12: the customers that we deal with, which is you know,

2033
01:43:29,173 --> 01:43:34,732
Speaker 12: ultimately the five eyes customers primarily, we don't you know,

2034
01:43:35,093 --> 01:43:38,013
Speaker 12: fall down the traps of letting vehicles make decisions by

2035
01:43:38,053 --> 01:43:39,892
Speaker 12: themselves if it's a precarious task.

2036
01:43:40,933 --> 01:43:44,892
Speaker 3: Driving drones around New Zealand's beautiful, peaceful countryside is one thing,

2037
01:43:44,933 --> 01:43:48,692
Speaker 3: but how much quicker does take develop when it's tasted

2038
01:43:48,732 --> 01:43:52,012
Speaker 3: in real world conflict situations.

2039
01:43:53,532 --> 01:43:58,253
Speaker 12: It is a completely completely different environment. So, you know,

2040
01:43:58,293 --> 01:44:01,532
Speaker 12: if in a conflict environment, the main way to take

2041
01:44:01,532 --> 01:44:04,133
Speaker 12: a drone out of the sky or out of the water,

2042
01:44:04,293 --> 01:44:06,692
Speaker 12: or out of the out of the grounds, whatever, the

2043
01:44:06,772 --> 01:44:09,772
Speaker 12: main way is ultimately chronic warfare. And what that means

2044
01:44:09,853 --> 01:44:13,173
Speaker 12: is firstly, you shut down your GPS so the drone

2045
01:44:13,173 --> 01:44:14,892
Speaker 12: doesn't know where it is. And the second one is

2046
01:44:14,893 --> 01:44:18,612
Speaker 12: you shut down the communications so you can't communicate.

2047
01:44:18,133 --> 01:44:18,812
Speaker 5: With the drone.

2048
01:44:19,213 --> 01:44:21,732
Speaker 12: So those are the two sort of main factors that

2049
01:44:21,933 --> 01:44:27,612
Speaker 12: that are happening in operational theater and when you're dealing

2050
01:44:28,372 --> 01:44:31,652
Speaker 12: in the civil sector, for example, if you're spraying and vineyard,

2051
01:44:31,772 --> 01:44:35,692
Speaker 12: you don't have those problems, but in operational theater you

2052
01:44:35,692 --> 01:44:38,213
Speaker 12: do have those problems. So actually the entire system has

2053
01:44:38,253 --> 01:44:41,213
Speaker 12: to be different and you have to update it regularly.

2054
01:44:41,293 --> 01:44:45,813
Speaker 12: With how quickly counter drone technology is evolving.

2055
01:44:46,253 --> 01:44:51,572
Speaker 3: That's interesting. I've heard that in Ukraine, for example, some

2056
01:44:51,652 --> 01:44:54,012
Speaker 3: of the drones are having to be deployed with cable

2057
01:44:54,253 --> 01:44:59,892
Speaker 3: cabling just because of the hacking is so so advanced now.

2058
01:45:00,973 --> 01:45:04,133
Speaker 12: Yeah, yeah, so those ultimately they're fiber optic drones. I

2059
01:45:04,213 --> 01:45:07,612
Speaker 12: think they started the use of fiber optic drones started

2060
01:45:07,652 --> 01:45:10,892
Speaker 12: coming out. Maybe maybe it was a year eighteen months ago,

2061
01:45:11,053 --> 01:45:14,972
Speaker 12: two years ago perhaps when communication to the drone became

2062
01:45:15,013 --> 01:45:18,812
Speaker 12: so difficult and you know they could solve you know,

2063
01:45:18,853 --> 01:45:20,652
Speaker 12: these are with the sort of the small le FTBV

2064
01:45:20,853 --> 01:45:26,852
Speaker 12: drones which which Ukrainians are making in such volumes, and

2065
01:45:26,973 --> 01:45:29,612
Speaker 12: you know, there's really two ways of solving the communication issue.

2066
01:45:29,612 --> 01:45:32,412
Speaker 12: One is you spend a lot of money on a

2067
01:45:32,532 --> 01:45:36,093
Speaker 12: on a radio or a data link or the other

2068
01:45:36,093 --> 01:45:37,973
Speaker 12: way is you just hook it up with you know,

2069
01:45:38,173 --> 01:45:40,732
Speaker 12: fiber optic cable that flies to the sky. You know,

2070
01:45:40,772 --> 01:45:42,933
Speaker 12: you can send your drone twenty kilometers away and and

2071
01:45:43,293 --> 01:45:47,973
Speaker 12: that's that semanly the low cost way of doing the technology.

2072
01:45:48,333 --> 01:45:55,452
Speaker 3: Any someone runs past with a pair of scissors.

2073
01:45:52,492 --> 01:45:57,333
Speaker 12: That you know what is actually the counter drones all

2074
01:45:57,412 --> 01:45:58,293
Speaker 12: that is being used.

2075
01:45:58,372 --> 01:46:03,293
Speaker 4: You're right, yeah, fasin'dst. We are speaking to sios Euerospace

2076
01:46:03,372 --> 01:46:06,372
Speaker 4: CEO and founder Sam Vi. So Sam talk to us

2077
01:46:06,372 --> 01:46:09,852
Speaker 4: about this project Convergence. So this you may mean that

2078
01:46:09,893 --> 01:46:13,372
Speaker 4: you extend to support that and it is a multinational

2079
01:46:13,532 --> 01:46:17,173
Speaker 4: partnership around accelerating AI on the battlefield. What does that

2080
01:46:17,213 --> 01:46:18,772
Speaker 4: look like? I take it we're not talking about a

2081
01:46:18,772 --> 01:46:20,212
Speaker 4: skyinyet terminator situation.

2082
01:46:22,333 --> 01:46:25,772
Speaker 12: Oh look, I mean convergence. There's there's a number of

2083
01:46:25,812 --> 01:46:30,533
Speaker 12: these sort of programs that are underway. But really realistically,

2084
01:46:30,532 --> 01:46:32,933
Speaker 12: the key sort of around you know, Convergence and and

2085
01:46:33,133 --> 01:46:37,052
Speaker 12: and these other ones is it's all about exercises. Okay,

2086
01:46:37,173 --> 01:46:39,612
Speaker 12: it's you know, whether it's NATO or the Five Eyes,

2087
01:46:39,652 --> 01:46:44,013
Speaker 12: it's all about ultimately defense forces using these exercises to

2088
01:46:44,173 --> 01:46:48,372
Speaker 12: try and learn and try and ensure that they are

2089
01:46:48,452 --> 01:46:53,973
Speaker 12: learning or we are learning from modern battlefield requirements and

2090
01:46:54,412 --> 01:46:59,452
Speaker 12: technology required. You know, the scope of learning out of

2091
01:46:59,532 --> 01:47:04,732
Speaker 12: Ukraine is astronomical. And ultimately, if if NATO, if the

2092
01:47:04,772 --> 01:47:06,052
Speaker 12: Five Eyes don't keep.

2093
01:47:05,973 --> 01:47:07,293
Speaker 2: Up with the level of.

2094
01:47:09,053 --> 01:47:13,572
Speaker 12: Our tactics and techniques are evolving as well as technology

2095
01:47:13,612 --> 01:47:16,412
Speaker 12: is evolving, if we don't learn how to use these tools,

2096
01:47:16,732 --> 01:47:19,452
Speaker 12: then there's risk of falling behind. So these exercises are

2097
01:47:19,572 --> 01:47:25,612
Speaker 12: ideal way of keeping up with how the battlefield is changing.

2098
01:47:26,253 --> 01:47:29,852
Speaker 3: If we fast forward ten years, say what does the

2099
01:47:29,893 --> 01:47:32,933
Speaker 3: New Zealand Defense Force look like? Are we going to

2100
01:47:32,973 --> 01:47:35,333
Speaker 3: be in a more robots and soldiers set up?

2101
01:47:37,732 --> 01:47:41,053
Speaker 12: Yeah, look, in my belief it would change very much

2102
01:47:41,053 --> 01:47:44,532
Speaker 12: to a hybrid approach of crude and uncrewed. So, you know,

2103
01:47:45,133 --> 01:47:49,612
Speaker 12: it was always important to have people with vehicles. But

2104
01:47:49,692 --> 01:47:54,372
Speaker 12: also New Zealand can get a significant cost saving as

2105
01:47:54,372 --> 01:47:57,692
Speaker 12: well as a force multiplier, which basically means just a

2106
01:47:57,732 --> 01:48:06,293
Speaker 12: ton more vehicles out in protecting our ease for national security,

2107
01:48:06,772 --> 01:48:10,372
Speaker 12: border security keeping, you know, potential smuggle in that bay.

2108
01:48:11,253 --> 01:48:13,333
Speaker 12: You know, we can actually get a heat more vehicles

2109
01:48:13,333 --> 01:48:16,333
Speaker 12: out there by basically getting more eyes in the sky

2110
01:48:16,652 --> 01:48:17,372
Speaker 12: or on the water.

2111
01:48:19,133 --> 01:48:22,333
Speaker 3: Finally, I mean, this might sound like a silly question,

2112
01:48:22,532 --> 01:48:26,412
Speaker 3: but what what's the what's the Hollywood? I guess myth

2113
01:48:26,772 --> 01:48:32,173
Speaker 3: that that about drones and military AI, that that you know,

2114
01:48:32,213 --> 01:48:33,612
Speaker 3: Hollywood gets completely wrong.

2115
01:48:36,973 --> 01:48:40,213
Speaker 12: Hey, I mean, Hollywood movies are a great way of

2116
01:48:40,293 --> 01:48:48,053
Speaker 12: reviewing innovation, right the Certainly the subject always comes up

2117
01:48:48,093 --> 01:48:53,093
Speaker 12: about and I've seen multiple other Dragon companies around the

2118
01:48:53,133 --> 01:48:58,652
Speaker 12: world come under come under fire from media around talking

2119
01:48:58,692 --> 01:49:04,893
Speaker 12: about AI use of AI for lethality, Okay, And in

2120
01:49:05,293 --> 01:49:07,213
Speaker 12: bearing mind where we're you know, we're not in the

2121
01:49:07,213 --> 01:49:09,813
Speaker 12: field of lethality. We're in the field of vehicles.

2122
01:49:09,812 --> 01:49:10,132
Speaker 2: Okay.

2123
01:49:11,372 --> 01:49:13,412
Speaker 5: Now, the.

2124
01:49:14,933 --> 01:49:20,652
Speaker 12: Probably the issue there is AI for at least in

2125
01:49:21,133 --> 01:49:24,133
Speaker 12: my sense of what the future looks like, a I

2126
01:49:24,213 --> 01:49:27,093
Speaker 12: won't be used to make decision making processes in terms

2127
01:49:27,133 --> 01:49:31,132
Speaker 12: of lethality. That will be always human in the loops.

2128
01:49:31,133 --> 01:49:34,052
Speaker 12: So certainly, you know, from a public perception point of view,

2129
01:49:34,372 --> 01:49:40,012
Speaker 12: you know, we are certainly our defense force will maintain

2130
01:49:40,093 --> 01:49:44,732
Speaker 12: this viewpoint. And from my point of view and I so, so,

2131
01:49:44,893 --> 01:49:47,812
Speaker 12: I think we're pretty safe there. I don't think we'll

2132
01:49:47,853 --> 01:49:53,052
Speaker 12: see the next Terminator movie in actually making choices by themselves.

2133
01:49:53,492 --> 01:49:54,412
Speaker 12: We're pretty safe there.

2134
01:49:54,492 --> 01:49:57,133
Speaker 4: Yeah, Sam, it's always a joy to chat with you.

2135
01:49:57,173 --> 01:49:58,812
Speaker 4: Thank you very much for joining us. We know you're

2136
01:49:58,812 --> 01:50:01,172
Speaker 4: a busy man, but you're doing incredible things. And congrat

2137
01:50:01,612 --> 01:50:03,932
Speaker 4: again on the contract with the Defense Force and hopefully

2138
01:50:03,933 --> 01:50:04,692
Speaker 4: we'll chet again soon.

2139
01:50:05,612 --> 01:50:06,173
Speaker 6: Thanks Matte.

2140
01:50:06,333 --> 01:50:09,012
Speaker 4: That is Sam VII, CEO and founder of New Zealand

2141
01:50:09,013 --> 01:50:13,532
Speaker 4: company SIOS Aerospace Specty. Shortly it is nine minutes to four.

2142
01:50:14,532 --> 01:50:18,013
Speaker 1: The big stories, the big issues, the big trends and

2143
01:50:18,253 --> 01:50:19,253
Speaker 1: everything in between.

2144
01:50:19,452 --> 01:50:22,812
Speaker 10: Matt Heath and Tyler Adams. Afternoons US Talks EDB.

2145
01:50:23,492 --> 01:50:25,932
Speaker 4: News Talks ed B Very good afternoon. Sure it is

2146
01:50:26,173 --> 01:50:29,213
Speaker 4: six to four. So we get so many great people

2147
01:50:29,293 --> 01:50:32,052
Speaker 4: calling in that each week we pick a caller of

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01:50:32,093 --> 01:50:34,372
Speaker 4: the week and this week we're having a discussion about

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01:50:34,372 --> 01:50:36,692
Speaker 4: a couple who decided to charge Kess for their meal

2150
01:50:37,333 --> 01:50:39,732
Speaker 4: at the wedding. When we had a call from sand

2151
01:50:39,732 --> 01:50:42,012
Speaker 4: Deep who told us if he did that at his wedding,

2152
01:50:42,173 --> 01:50:44,173
Speaker 4: he would be a very rich man. Now, how many

2153
01:50:44,213 --> 01:50:45,293
Speaker 4: people did you have at your wedding?

2154
01:50:45,372 --> 01:50:46,173
Speaker 5: Old people?

2155
01:50:46,372 --> 01:50:48,572
Speaker 14: Close to a thousand and you're paying for all of them,

2156
01:50:49,093 --> 01:50:50,372
Speaker 14: to pay for all of them.

2157
01:50:50,213 --> 01:50:52,293
Speaker 13: And it was like the big fight Indian Redding War.

2158
01:50:52,372 --> 01:50:55,013
Speaker 3: Wow, do you mind sharing how much that wedding costs.

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01:50:54,692 --> 01:50:58,532
Speaker 16: Were roughly close to fifteen to twenty thousand New Zealand dollars.

2160
01:50:58,652 --> 01:51:00,012
Speaker 7: And this was eighteen years ago.

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01:51:00,133 --> 01:51:02,012
Speaker 3: What kind of venue do you put one thousand people

2162
01:51:02,093 --> 01:51:03,852
Speaker 3: in too, sandeep, just like a.

2163
01:51:03,973 --> 01:51:07,213
Speaker 7: Church promisers which was loved enough the many gifts?

2164
01:51:07,532 --> 01:51:09,932
Speaker 3: Was this in New zeal or was it overseas?

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Speaker 15: Yeah?

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01:51:11,372 --> 01:51:12,692
Speaker 3: You see, that's why it's possible.

2167
01:51:14,572 --> 01:51:16,772
Speaker 4: Fifteen k would have been cheap for one thousand years

2168
01:51:16,812 --> 01:51:17,452
Speaker 4: in New Zealand.

2169
01:51:17,812 --> 01:51:20,652
Speaker 3: For World Une Sandy, fifteen k would be cheap for

2170
01:51:20,692 --> 01:51:21,892
Speaker 3: twenty guests in New Zealand.

2171
01:51:21,973 --> 01:51:23,053
Speaker 4: Yeah, good, all right.

2172
01:51:23,093 --> 01:51:24,893
Speaker 3: The great and powerful head of Do See, Allen is

2173
01:51:24,973 --> 01:51:27,173
Speaker 3: up next, and she's joined by Weare To Workshop co

2174
01:51:27,253 --> 01:51:29,892
Speaker 3: founder Richard Taylor, and they'll be talking about a bunch

2175
01:51:29,893 --> 01:51:33,492
Speaker 3: of upcoming Oscar nominations that those great New Zealands we've got.

2176
01:51:33,492 --> 01:51:36,333
Speaker 3: So you'd be an idiot to miss that. But Tyler

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01:51:36,333 --> 01:51:39,293
Speaker 3: and I will be back live from midday Monday, so

2178
01:51:39,452 --> 01:51:42,572
Speaker 3: join the conversation then. But right now, Tyler, my good buddy,

2179
01:51:42,612 --> 01:51:44,692
Speaker 3: why am I? Why the hell am I playing this

2180
01:51:45,053 --> 01:51:47,893
Speaker 3: absolute banger from the clash?

2181
01:51:47,973 --> 01:51:49,372
Speaker 4: Why don't you know what the song is?

2182
01:51:51,253 --> 01:51:51,452
Speaker 6: Oh?

2183
01:51:51,933 --> 01:51:53,973
Speaker 4: Sounds good? Though it's got a funky tune to it.

2184
01:51:54,333 --> 01:51:55,253
Speaker 4: What's the name of the song?

2185
01:51:55,732 --> 01:51:58,692
Speaker 3: My daddy was a band, Robert very Girds.

2186
01:51:58,732 --> 01:52:00,813
Speaker 4: That's not tenuous at all. We had a great discussion

2187
01:52:01,093 --> 01:52:03,532
Speaker 4: about crime and the reduction in crime, and we had

2188
01:52:03,532 --> 01:52:04,572
Speaker 4: some great calls that hour.

2189
01:52:04,732 --> 01:52:08,412
Speaker 3: We certainly did. Okay, thanks for listening until Monday. A

2190
01:52:08,532 --> 01:52:12,333
Speaker 3: taes to kwa al right than love good waking, don't.

2191
01:52:28,532 --> 01:52:49,293
Speaker 24: Get awake away away Tidy Wall my brother Panera, he

2192
01:52:49,572 --> 01:52:58,213
Speaker 24: just loves to live that way. We love run rather

2193
01:53:11,213 --> 01:53:26,652
Speaker 24: stuck out for fuck out, no no never. Baddy Wall able.

2194
01:53:29,333 --> 01:53:31,933
Speaker 1: For more from News Talks at b Listen live on

2195
01:53:32,053 --> 01:53:35,052
Speaker 1: air or online, and keep our shows with you wherever

2196
01:53:35,093 --> 01:53:37,652
Speaker 1: you go with our podcasts on iHeartRadio