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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 Ranger podcast now on iHeartRadio.

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Speaker 2: Hello you great New Zealanders, and welcome to the Matt

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Speaker 2: and Tyler Afternoons Podcast. It is the twenty eighth of

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Speaker 2: January twenty twenty five. I was just saying to Tyler,

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Speaker 2: I fear we should do the number of the podcast

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Speaker 2: because that'd be interesting. Yeah, how many, because this might

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Speaker 2: be number two hundred maybe? Wow? We dido, No, we did.

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Speaker 2: We did three months, so that's twenty times three sixty minimum,

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Speaker 2: So I reckon this would be pod seventy maybe. Yeah,

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Speaker 2: we'll get to the bottom of it.

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Speaker 3: So this is seventy. We're going to start from this point.

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Speaker 3: So Nick, Tomorrow's one's going to be seventy one.

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Speaker 2: We can find out exactly. Yeah, so tomorrow, by tomorrow

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Speaker 2: we'll find out exactly. And I'll start every pod by

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Speaker 2: saying it is Tuesday, the twenty eighth of January twenty

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Speaker 2: twenty five. Welcome to Matt and Tyler Afternoons Podcast Number seventy.

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Speaker 2: Lighton Smith does with his pod, Yeah, he goes do eat.

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Speaker 3: Five and it sounds bloody good, doesn't it? To eight?

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Speaker 2: Five out now, but great a show today, had some

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Speaker 2: really really good calls. Really enjoyed it. That Elon Musk

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Speaker 2: stuff was a very interesting You may or may not

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Speaker 2: agree with that.

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Speaker 3: Yep, I did I do a particular thing in the

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Speaker 3: household that you thought I was an absolute lunatic and

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Speaker 3: a loser for doing it. Turned out quite a lot

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Speaker 3: of New Zealand do the same thing.

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Speaker 2: Turns out like quite a lot of New Zealander lunatic losers.

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Speaker 2: Just let you Tyler, no offense to anyone. Set the download,

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Speaker 2: follow and what what's the word follow? Download? There's the

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Speaker 2: thing that you do. Just follow, follow the podcast, subscribe,

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Speaker 2: whatever it is. Anyway you've seen Busy Elite, you go

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Speaker 2: and listen to the podcast and give a taste of

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Speaker 2: Kiwi from US podcast seventy one or something out tomorrow.

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Speaker 1: Talking with you all afternoon, It's Matt Heathan Tyler Adams

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Speaker 1: Afternoons with the Volvo X ninety News talk.

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Speaker 3: ZB Good afternoons. Do you welcome and to the show.

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Speaker 3: Hope you're doing well if you're listening in the country,

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Speaker 3: Get a Maddie, get a Tyler, get a everyone got

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Speaker 3: a great show plan for you this afternoon certainly do.

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Speaker 3: After three o'clock. It's on the back of a Melbourne

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Speaker 3: woman who caught her partner cheating thanks to tracking his

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Speaker 3: Apple Watch, which is a heck of a story. But

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Speaker 3: what we really want to have a chat about is

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Speaker 3: is it okay to track your own family members and

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Speaker 3: particularly your children?

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Speaker 4: Yeah?

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Speaker 2: What do you get out of it? You know, there's

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Speaker 2: I know a lot of people that are tracking their kids.

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Speaker 2: Just in my opinion, it just leads to worry and

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Speaker 2: do you really need to know where everyone is all

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Speaker 2: the time? I think it's I think it's odd to

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Speaker 2: track your partner, definitely, because if you're in a relationship

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Speaker 2: with someone you don't trust them, then you shouldn't be

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Speaker 2: in a relationship with them, right, So if you need

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Speaker 2: to track your partner, that's very odd. But tracking your

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Speaker 2: kids seems very strange to me as well. I mean,

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Speaker 2: when you're not with your kids, then you're not with

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Speaker 2: your kids. Put things in place to make sure they're okay.

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Speaker 3: A lot of the arguments is that I've heard because

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Speaker 3: I've got well, my partner, May's family they track each

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Speaker 3: other on on a particular app and they say it's

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Speaker 3: for safety. It is to make sure that they know

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Speaker 3: where each of the girls are. Because Maid's got three

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Speaker 3: sisters plus her dad Pete, He's going to be home

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Speaker 3: safe at a particular time. How much of that do

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Speaker 3: you believe? It's about safety and versus the old trust pat.

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Speaker 2: How much safety do you need in modern society? I

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Speaker 2: don't know. I think I think people went find I

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Speaker 2: think people have their phone on them if they're in trouble,

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Speaker 2: they can ring you. Yeah, that's that's all you need.

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Speaker 2: I just think that you I just think it's it's

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Speaker 2: too much. Tracking people is too much. And I also

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Speaker 2: think you know, kids now they're on Snapchat, they track

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Speaker 2: where their friends are so they know whether all the time,

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Speaker 2: and then they riddled with anxiety when they see that

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Speaker 2: their friends are meeting somewhere and they're not there. Yeah.

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Speaker 3: Yeah, I mean it's heartbreaking.

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Speaker 2: But I will say that I did find out because

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Speaker 2: I looked at it, that I am actually tracking all

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Speaker 2: my kids and I didn't even know.

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Speaker 3: Yeah, you were fascinated by it, and not just your kids,

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Speaker 3: a few people.

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Speaker 2: Just because on fine find my phone on my iPhone.

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Speaker 2: I locked down and then I was like, wow, I'm

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Speaker 2: tracking everyone. I didn't even know. I'd never look at it. Yeah,

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Speaker 2: but that's just to find devices if they go missing.

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Speaker 3: Which is fair enough.

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Speaker 2: But I'm not really sure how that was see it either.

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Speaker 2: I don't know why I'm tracking everyone. I'd never look

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Speaker 2: at it. I'd never go you you're supposed to be here,

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Speaker 2: and you say you're there?

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Speaker 5: You know?

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Speaker 3: Well you now though, now that you know you're tracking.

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Speaker 2: No, I wouldn't.

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Speaker 3: No, God, because don't misuse the power.

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Speaker 2: I have some more guts than that. Just trust people

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Speaker 2: and just don't worry so much about what's going on

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Speaker 2: the world where you have to track and know where

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Speaker 2: everyone is all the time. And then you know, I

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Speaker 2: know people that track their kids and then they go, oh, no, oh,

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Speaker 2: he was walking to school, But what's he stopped there

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Speaker 2: for it? So he's probably stopped across the road. I

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Speaker 2: don't know.

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Speaker 3: You're causing yourself anxiety. We didn't used to have to

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Speaker 3: do that. Technology. Yes, it's useful, but sometimes it just

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Speaker 3: causes anxiety. There's going to be a good chat after

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Speaker 3: three o'clock. After two o'clock, should you clean your rubbish

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Speaker 3: before you recycle it? Now? I saw a post on

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Speaker 3: social media asking the question, is my wife a little

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Speaker 3: bit loopy for putting the rubbish in the dishwasher to

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Speaker 3: clean it. And I thought, hey, I do that, And

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Speaker 3: I don't think I am loopy.

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Speaker 2: I think you are. I think you're a crazy person.

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Speaker 2: If you're for the good of recycling, you're putting your

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Speaker 2: rubbish in the dishwasher to clean it before you put

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Speaker 2: it out?

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Speaker 3: Yeah, because you know, those picks peanut butter jars are

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Speaker 3: real hard to clean. So the dishwasher with those tablets

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Speaker 3: just does the perfect job to make sure it's sparkly clean.

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Speaker 3: So the good people at Auckland Waste Disposal can take

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Speaker 3: it down and recycle it and somebody else can use

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Speaker 3: that jar. That is my hope and dream.

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Speaker 2: Is that actually happening though? How much is that actually happening? Yeah,

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Speaker 2: I mean I think that's ridiculous. I think putting through

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Speaker 2: the dish wash it look short, like maybe rinse it

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Speaker 2: once before you put it in the recycling binder. Put

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Speaker 2: you're recycling through the dishwasher. Yeah, you've lost your freaking mind.

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Speaker 3: Well, this is going to be a good chat about

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Speaker 3: recycling in general, right is there. I think there are

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Speaker 3: a lot of myths about recycling, and potentially I've been

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Speaker 3: had by this. I tell you why it started is

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Speaker 3: because in christ Juche and they did say this at

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Speaker 3: one point that if there's any contamination in the recycling truck,

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Speaker 3: the whole truck goes into waste, into general waste.

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Speaker 2: Yeah, and that means that the whole truck always goes

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Speaker 2: into general waste, and therefore they're not recycling anything because

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Speaker 2: what are the chances in an entire truck they're not

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Speaker 2: going to have a small amount of contamination there. That

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Speaker 2: sounds like a setup to not have to bother recycling

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Speaker 2: and just have it all and landfill.

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Speaker 3: Anyway, Well, this is going to be good winning there.

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Speaker 2: You are burning electricity and SuDS, cleaning your cleaning your cans.

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Speaker 3: This is going to be a great discussion that's after me. Yeah,

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Speaker 3: I know you are. Right now, let's have a chat.

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Speaker 2: I contaminate every truck so they all go on landfall

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Speaker 2: and retiliation.

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Speaker 3: Right now, let's have a chat about Elon Musk. Is

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Speaker 3: he a genius or is he a juke? This is

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Speaker 3: on the back of a great interview Mike did this

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Speaker 3: morning with a author called Dennis Neil. He's written a

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Speaker 3: book called The Leadership Genius of Elon Musk and here's well,

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Speaker 3: Mike Hoskin asked him a few questions, but here's a

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Speaker 3: little bit of that interview. Now, come on.

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Speaker 6: How much is genius and how much is pure insanity?

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Speaker 3: Oh?

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Speaker 7: I think it's ninety percent genius. The guy's unbelievable. I mean,

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Speaker 7: we've never and I've been understood of a business reporter

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Speaker 7: Wall Street journal managing gera Forbes, anchor at CNBC, anger

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Speaker 7: at Fox Business for thirty plus years, and I've never

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Speaker 7: seen anything like it. It's one thing to see Jeff Bezos,

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Speaker 7: who once crashed a dinner party of mine and sat

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Speaker 7: with me for an hour and a half. Great guy,

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Speaker 7: fantastic laugh, amazing ambition. But he's been great at one thing,

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Speaker 7: and on Blue Origin his space rocket stuff, you get

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Speaker 7: the feeling he's not that deeply involved. He leaves it

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Speaker 7: to the engineers. Elon is super successful on half of

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Speaker 7: different fronts and companies and he gets deeply involved in

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Speaker 7: each thing and is actually technically involved. And he continually

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Speaker 7: amazes the engineers around him when he comes up with

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Speaker 7: solutions that they just don't see because he then you

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Speaker 7: get to that ten percent insanity that gives him that

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Speaker 7: extra ability to see things that most people don't.

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Speaker 3: It's nice ance, or isn't it.

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Speaker 2: Yeah, although I would dispute that Jeff Bezos has a

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Speaker 2: wonderful laugh. Have you ever heard Jeff Bezos's laugh?

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Speaker 3: That's another one.

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Speaker 2: It's a terrible laugh.

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Speaker 3: Is it quite high pitch? Does he low?

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Speaker 2: It sounds like a crazy person. Anyway, let's not let's

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Speaker 2: not get let's not get too focused on Jeff Bezos's laugh.

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Speaker 2: But so Elon Musk worth four hundred and twenty two

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Speaker 2: point seven billion US dollars as of today, which is

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Speaker 2: man in the end. I mean, if you want to

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Speaker 2: you know, not whether it's worthwhile doing, but you know

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Speaker 2: that's probably like a quarter of a trillion New Zealand dollars. Yeah,

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Speaker 2: so it's done pretty well from self financially, but very

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Speaker 2: very controversial. A lot of people spend a lot of

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Speaker 2: their lives getting furious and angry and posting TikTok videos

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Speaker 2: about why Elon Musk is terrible and then getting very

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Speaker 2: upset and complaining. And if in some polite society, if

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Speaker 2: you said that you were a fan of Elon Musk,

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Speaker 2: people would spit out their kale at you.

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Speaker 3: They would Yeah, so and that's expensive. K.

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Speaker 2: Yeah, soa e T hundred eighty ten eighty nine two

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Speaker 2: nine two is the text number. Elon Musk? Is he

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Speaker 2: a genius or is he a jerk?

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Speaker 3: What do you think? Is is he both?

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Speaker 5: Yeah?

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Speaker 3: Oh? Eight hundred eighty ten eighty Love to hear from

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Speaker 3: you on this one nine two ninety two is the

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Speaker 3: text number. It is fourteen past one.

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Speaker 1: The big stories, the big issues, the big trends, and

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Speaker 1: everything in between.

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Speaker 8: Matt and Taylor afternoons with the Volvo.

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Speaker 1: XC ninety attention to detail and a commitment to comfort

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Speaker 1: news dogs.

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Speaker 8: They'd be.

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Speaker 3: Sixteen past one.

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Speaker 2: So we're asking the question, is Elon Musker genius or

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Speaker 2: a jerk? Or both? Love to hear your thoughts on

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Speaker 2: that undred eighty ten eighty nine two nine two. I

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Speaker 2: was bringing up Jeff Bezoff. Of course he's the Amazon

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Speaker 2: billionaire founder has laughed, and so I've got a bit

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Speaker 2: of us laugh here.

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Speaker 3: Okay, all right, here we go.

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Speaker 2: I mean, you know, it's you have to be in

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Speaker 2: the maindset that you can accept blaind Ally's.

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Speaker 8: But I'll tell you that bright avenues are way more fun.

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Speaker 9: Y.

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Speaker 8: Yeah, there's one.

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Speaker 3: Why he puts us back into it, isn't he It's

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Speaker 3: always like it's actually frightening.

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Speaker 2: It's a genuine laugh though, yeah, yeah, actually his eyes

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Speaker 2: light up. But yeah, I mean, so the Elon Muskus

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Speaker 2: what was his name? That was on Hoskin this morning.

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Speaker 2: So Dennis Neil, Yeah, Denis Neil thinks Elon Musk is

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Speaker 2: a genius. And Jeff Bezos says a wonderful laugh. So

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Speaker 2: what do you.

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Speaker 3: Think he's right? On one account? Colleen? How are you?

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Speaker 10: I am really good.

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Speaker 11: I think I think he's brilliant. I think he's just

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Speaker 11: a bond which may make him appear to us as unusual.

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Speaker 11: But I mean, we don't know him, for goodness sake.

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Speaker 11: We get sleeping comments from here, there and thither. We

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Speaker 11: don't know what it's like as a guy at home.

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Speaker 11: You might sit down and drink there about the bottle.

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Speaker 11: Who would know?

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Speaker 3: Do you like the fact, Colleen, that he is someone

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Speaker 3: that appears to do what he wants to do? You know,

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Speaker 3: he doesn't seem to care about the niceties of society,

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Speaker 3: if you will, he's he's not your typical billionaire or

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Speaker 3: indeed trillionaire, is he.

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Speaker 12: No, he's not.

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Speaker 11: He just wants to get on with the job. And

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Speaker 11: you'll find that, you know a lot of top business people,

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Speaker 11: men and woman does people they can come across as

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Speaker 11: maybe two or was drawn or whatever you want to

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Speaker 11: call it, because they're always thinking about the next thing.

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Speaker 3: Yeah, and so sorry, do you think he gets unfair treatment?

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Speaker 3: Colling in what way? The coverage of Elon Musk? I mean,

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Speaker 3: he has got somewhat close to President Donald Trump, and

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Speaker 3: and it appears some of the media are now, for

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Speaker 3: lack of a better word, targeting Elon Musk. They've always

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Speaker 3: sort of had some problem with Elon. But this is

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Speaker 3: my own opinion. I think sometimes that it is unfair

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Speaker 3: media coverage of Elon even if he is a bit

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Speaker 3: unusual and as you say, a savant and on the spectrum.

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Speaker 11: I think exactly, And I don't say that in any

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Speaker 11: interogatory manner at all. Brilliant, but the meter have got

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Speaker 11: to pine hs up into put on the paper, you know,

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Speaker 11: to sell a stone day more or less. Not that

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Speaker 11: we do anymore, but you know, who cares.

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Speaker 13: What they say.

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Speaker 11: Donald Trump's a big boy. He can stand up for himself.

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Speaker 2: Certainly can Yeah, Yeah, I mean absolutely, Ellen mus gets

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Speaker 2: clicked whatever he does, and he leans into it. He

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Speaker 2: hardly shies away from controversy. I mean, I can't believe

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Speaker 2: the amount of stuff he does and the amount of

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Speaker 2: stuff he puts on x every day. He must be

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Speaker 2: tweeting or xing, you know, fifteen times a day, and

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Speaker 2: a lot of it is just to get people annoyed.

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Speaker 2: So he builds a lot of the feedback and a

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Speaker 2: lot of the reaction and seems to enjoy it. And

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Speaker 2: of course, you know, media, they can leach them clicks

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Speaker 2: off that just by throwing up whatever he said and

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Speaker 2: pretending to be outraged by it.

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Speaker 3: Colleen, you'd agree with that.

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Speaker 4: I do.

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Speaker 11: He can do it at a party, and he can

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Speaker 11: cry he wants. So if we had all those billions,

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Speaker 11: I'm sure did give a rep.

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Speaker 14: What about what?

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Speaker 11: He's not doing anything wrong?

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Speaker 2: Yeah, all right, thank you so much for your call, Colleen.

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Speaker 2: This texture of ninety two nine two says Musk hasn't

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Speaker 2: created a single thing himself. He hired others, then brought

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Speaker 2: them out and took credit for their work. Nothing successful

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Speaker 2: about it. He hasn't even earned his money. His parents

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Speaker 2: earned it. Well, that's that's patently not true. That I mean,

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Speaker 2: he started zip in nineteen Zip two and nineteen ninety five,

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Speaker 2: sold it for three hundred and seven million dollars. Started

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Speaker 2: x dot com, the online bank in nineteen ninety nine,

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Speaker 2: which became power PayPal and sold for one point five

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Speaker 2: billion dollars. He started SpaceX in two thousand and two,

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Speaker 2: and he founded open I and open Ai in twenty

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Speaker 2: fifteen with Sam Oltman. So, I mean he has an

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Speaker 2: and you know, he was on board with Tesler about

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Speaker 2: six months after they started, but he was on the

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Speaker 2: board and they became CEO in two thousand and eight,

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Speaker 2: but he was there for their first money you know,

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Speaker 2: money raising round. So it's just not true to say

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Speaker 2: that he hasn't.

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Speaker 15: You know.

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Speaker 2: That's one of those things that people say that they.

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Speaker 3: He got a hand up from Mum and dare, But

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Speaker 3: it's patently you know, that's not true in terms of

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Speaker 3: what he's created in SpaceX. The founder of SpaceX, and

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Speaker 3: he was taking a punt, a mass of punt was

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Speaker 3: something like SpaceX. It could have all if it didn't

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Speaker 3: work out for him, he could have lost everything.

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Speaker 2: Right well, well, I'm not sure how much money he

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Speaker 2: got from his parents. He said he wasn't forty two

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Speaker 2: billion dollars he hired others. That's absolutely true. You know,

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Speaker 2: he's definitely can spot someone with some talent, and I

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Speaker 2: guess he's taken some problem, maybe he's taken unfair credit

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Speaker 2: here and there. But to say there's nothing successful about

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Speaker 2: him and that he's sometimes somehow, I don't know, just

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Speaker 2: lucked into six incredibly successful companies, I don't know. That

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Speaker 2: seems a little bit, a little bit hard to believe.

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Speaker 3: As you said before, he doesn't shy away from controversy,

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Speaker 3: and he puts out some tweets that he knows is

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Speaker 3: going to rap people up and upsets certain you know,

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Speaker 3: members of political parties. Do you think that's done him well,

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Speaker 3: because clearly that is different to other people who are

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Speaker 3: billionaires Bill Gates or Jeff Bezos or Richard Branson. Those

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Speaker 3: are guys that don't traditionally try and poke, you know,

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Speaker 3: various sectors of society.

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Speaker 2: Richard Branson back in this day did yeah, yeah, but

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Speaker 2: not quite to the same level.

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Speaker 8: I mean.

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Speaker 2: Ellen Musk is a He enjoys trolling, he enjoys the

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Speaker 2: whole online battle of it all, and potentially that's why

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Speaker 2: he bought X because he loves the that's the world

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Speaker 2: that he operates in.

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Speaker 3: Has that worked out from the what buying X well, well,

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Speaker 3: just in general being a troll. I mean, clearly he's

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Speaker 3: a very wealthy guy, and I think he would be

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Speaker 3: that wealthy whether he likes to pro control people regardless

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Speaker 3: of that, he's been incredibly successful. But whether that is

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Speaker 3: that the appeal of him, I'm not articulating this well,

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Speaker 3: is that the appeal of this guy that he just

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Speaker 3: he doesn't care about upsetting some people. He does what

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Speaker 3: he feels as good and he likes a bit of

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Speaker 3: a trop.

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Speaker 2: I'm sure there's people in the wider Tesla business that

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Speaker 2: are because you know, Tesla wants to sell cars to

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Speaker 2: one hundred percent of people, and right now it's very

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Speaker 2: politically polarizing the situation with whether you buy a Tesla.

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Speaker 2: It might be seeing as a statement to support everything

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Speaker 2: Elon Musk does, but not everyone does everything just for

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Speaker 2: the good of their companies, and I think that's something

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Speaker 2: that pisses people off about Elon Musk that work with him,

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Speaker 2: as he does what he feels like and what entertains him.

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Speaker 2: And you know, it's hard to say that it hasn't

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Speaker 2: been successful when he's currently worth forty two billion dollars,

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Speaker 2: but I don't know. Four hundred and twenty two billion dollars. Sorry,

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Speaker 2: forty two billion dollars would be enough. Four hundred and

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Speaker 2: twenty two billion dollars, but who knows. I mean people

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Speaker 2: at Tesla and SpaceX might say, I don't know. Maybe

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Speaker 2: just pump the brakes a little bit there, buddy, And

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Speaker 2: I know they definitely have in the past when he's

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Speaker 2: done terrible damage to Tesla's stock. It always seems to

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Speaker 2: come back, though.

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Speaker 3: Certainly does Oh eight one hundred and eighty ten eighty.

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Speaker 3: How do you feel about Elon Musk is a controversial character?

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Speaker 3: Genius or Jerke love to hear.

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Speaker 2: You if you hate them eight hundred eighty ten eighty,

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Speaker 2: if you love them? O wa eight hundred eighty ten eighty.

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Speaker 3: It is twenty four past one.

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Speaker 1: Putting the tough questions to the newspeakers, the mic Hosking, Breakfast.

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Speaker 6: Christoper Lux and Prime Minister as well. It's my criticism

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Speaker 6: of you is that you're too much yack and not

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Speaker 6: enough do. If you don't like what the Commerce Commissioner

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Speaker 6: is doing.

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Speaker 16: You just all fight up because of Trump's executive orders,

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Speaker 16: but that's what you do. Exactly what you need to

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Speaker 16: executive orders. You need to get a pen and start

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Speaker 16: scratching out a few signatures and do it pasta And

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Speaker 16: the difference between a presidential system at a parliamentary system,

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Speaker 16: as you might profound in that regard.

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Speaker 2: You and I asked sick of the same things.

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Speaker 6: But what I'm watching here is a commerce commission that's

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Speaker 6: been looking at petrol and supermarkets and building products and

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Speaker 6: everybody else have done.

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Speaker 16: Nothing's happening, So we know what the problem is, but

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Speaker 16: no one ever pulls the trigger to say that's the

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Speaker 16: action that needs to take place off the back of

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Speaker 16: that study. That's what we've got to do this year.

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Speaker 6: Back tomorrow at six am the Mic Hosking Breakfast with

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Speaker 6: Mayley's Real Estate News Talk z B.

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Speaker 3: Good afternoon, twenty seven past one, fast discussion about Elon Musk.

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Speaker 3: Very controversial character, but we'll ask the question is he

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Speaker 3: a genius or is he a juke? Or is he

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Speaker 3: a bit of both? If you got nuance on this,

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Speaker 3: love to hear from you on oh eight hundred and

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Speaker 3: eighty ten eighty Beryl, how are you this after now?

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Speaker 17: Thank you for taking me so quick? I've just got

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Speaker 17: to go to work. But what I'm saying to you

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Speaker 17: is my mom used to say, because I believe he

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Speaker 17: is a genius. But my mum used to say, and

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Speaker 17: I believe it. The brighter you are, the closer you

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Speaker 17: are to insanity. And but I mean, at the end

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Speaker 17: of the day, I'm sure he gives some of his

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Speaker 17: money away for those that may not like him. And also,

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Speaker 17: at the same time, if you got that much money,

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Speaker 17: you can just about call the shots. So the anything,

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Speaker 17: can't you?

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Speaker 3: Yeah, yeah, reminds me of another quote, Baryl. The only

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Speaker 3: difference between genius and insanity is success. And that would

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Speaker 3: explain Elon is you know, people laughed at him when

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Speaker 3: he had some of these ideas and say, you're crazy, Elon,

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Speaker 3: that's never gone at SpaceX, are you kidding me? And

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Speaker 3: he made it work, and he's very wealthy and successful

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Speaker 3: because of it.

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Speaker 17: Absolutely. The other thing is if he comes around like

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Speaker 17: he's quite a bit Sirelli and everythink, well, guys, I

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Speaker 17: know this is going to sound a bit like a stereotype.

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Speaker 17: But German, he's got that German on them. They're known

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Speaker 17: to be a bit silly and arrogance. So you know,

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Speaker 17: maybe it's because of his power and all this money

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Speaker 17: he's got gone to his head. But I think a

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Speaker 17: little bit of it is genetics.

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Speaker 2: I don't think it's a bit rough on the Germans.

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Speaker 2: I know, I know a lot of people, a lot

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Speaker 2: of very humble Germans. Thank you so much. We call Beryl,

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Speaker 2: you have a great day of works.

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Speaker 3: Thank you very much. Quick a couple of texts and

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Speaker 3: we better get to the headlines. Get a guys. Elon

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Speaker 3: Musk is a calculated risk taker. His signature strategies scheduling

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Speaker 3: his day in five minute blocks, dedicating one hundred percent

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Speaker 3: of his attention to one moment, and they are cheap

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Speaker 3: as everywhere else booked out. I think they kind of

434
00:20:04,933 --> 00:20:08,653
Speaker 3: combined two texts there, but clearly the guy, when you

435
00:20:08,733 --> 00:20:14,893
Speaker 3: look at the skills across a myriad of different you know, sectors,

436
00:20:15,053 --> 00:20:16,293
Speaker 3: the guy is a genius.

437
00:20:16,413 --> 00:20:17,973
Speaker 2: I think this is an interesting text on nine two

438
00:20:18,093 --> 00:20:21,573
Speaker 2: nine two. Remember that all his networth is on paper

439
00:20:21,653 --> 00:20:25,173
Speaker 2: market valley of his company's share, which could crash if

440
00:20:25,173 --> 00:20:27,693
Speaker 2: he sold. He is famously all in with what he does.

441
00:20:27,773 --> 00:20:29,613
Speaker 2: He bets the house on what he believes in, so

442
00:20:29,733 --> 00:20:32,693
Speaker 2: he's not sitting on loads of cash quite the opposite.

443
00:20:33,133 --> 00:20:35,253
Speaker 2: But I will say that he's sitting on more cash

444
00:20:35,293 --> 00:20:40,173
Speaker 2: than I whilst that forty two billion dollars is slightly confusing,

445
00:20:40,213 --> 00:20:42,573
Speaker 2: and you saw that when he went to buy Twitter

446
00:20:42,693 --> 00:20:45,533
Speaker 2: as well. You don't have that, and you're you can't

447
00:20:45,533 --> 00:20:49,933
Speaker 2: go down to the ATM at the local servo and

448
00:20:49,933 --> 00:20:52,973
Speaker 2: get all that money out, absolutely, but he can go

449
00:20:53,013 --> 00:20:56,213
Speaker 2: to the local servo and get a lot more money out.

450
00:20:56,493 --> 00:20:58,653
Speaker 3: Oh, one hundred eighty ten eighty. How do you feel

451
00:20:58,653 --> 00:21:01,653
Speaker 3: about Elon Musk? Is he a genius? Is he crazy?

452
00:21:01,653 --> 00:21:03,653
Speaker 3: Is he both? How do you feel about the tweets

453
00:21:03,653 --> 00:21:06,893
Speaker 3: and his activity online and his general behavior. I think

454
00:21:06,893 --> 00:21:08,573
Speaker 3: it's fair to say, very different to a lot of

455
00:21:08,653 --> 00:21:11,733
Speaker 3: other billionaires. But keen to hear from you. Nine two

456
00:21:11,853 --> 00:21:13,933
Speaker 3: nine two is the text number. It is bang on

457
00:21:13,973 --> 00:21:16,293
Speaker 3: half past one, headlines with railing coming.

458
00:21:16,133 --> 00:21:22,613
Speaker 18: Up, Deuce talks at the headlines with blue bubble taxis

459
00:21:22,733 --> 00:21:26,213
Speaker 18: it's no trouble with a blue bubble. Labour's leaders calling

460
00:21:26,213 --> 00:21:29,573
Speaker 18: on the Prime Minister to rule out privatizing hospitals and

461
00:21:29,653 --> 00:21:33,093
Speaker 18: other public healthcare as the government says sales could become

462
00:21:33,133 --> 00:21:37,813
Speaker 18: an election platform next year. The Public Service Commissioner says

463
00:21:37,813 --> 00:21:41,213
Speaker 18: findings of an inquiry into the protection of personal census

464
00:21:41,253 --> 00:21:46,093
Speaker 18: and COVID data will be made public next week. Revelations

465
00:21:46,173 --> 00:21:50,453
Speaker 18: of a new Chinese artificial intelligence chatbot has sent US

466
00:21:50,453 --> 00:21:54,213
Speaker 18: tech stocks tumbling. Product developed at a tiny fraction of

467
00:21:54,253 --> 00:21:59,053
Speaker 18: the price of similar US products like chat GPT. Police

468
00:21:59,053 --> 00:22:01,493
Speaker 18: are appealing for witnesses to an apparent stabbing at a

469
00:22:01,493 --> 00:22:05,693
Speaker 18: bar on Palmerston North's main street shortly before midnight last night.

470
00:22:06,653 --> 00:22:09,413
Speaker 18: New stats nd ZIR data show the number of seasonally

471
00:22:09,453 --> 00:22:13,693
Speaker 18: adjusted filled jobs in December rose zero point one percent

472
00:22:13,733 --> 00:22:16,493
Speaker 18: compared to the month before to two point three six

473
00:22:16,613 --> 00:22:20,253
Speaker 18: million year on Yeah, the construction and administrative industries have

474
00:22:20,333 --> 00:22:23,813
Speaker 18: the biggest change, dropping six point one and six point

475
00:22:23,853 --> 00:22:28,373
Speaker 18: eight percent, respectively. Water Service's boss paid five hundred and

476
00:22:28,453 --> 00:22:31,933
Speaker 18: thirty two thousand, five hundred dollars to leave role in

477
00:22:32,133 --> 00:22:36,453
Speaker 18: highest CEO payout trigget by Change in Government. Find out

478
00:22:36,493 --> 00:22:40,213
Speaker 18: more at Enzenherrald Premium. Now back to Matt Heathan Tyler Adams.

479
00:22:40,253 --> 00:22:41,613
Speaker 3: Thank you very much. Ray Lean.

480
00:22:41,853 --> 00:22:44,572
Speaker 2: We're talking about Elon Musk. Do you hate him? Do

481
00:22:44,653 --> 00:22:47,613
Speaker 2: you love him? Eight hundred eighty ten eighty nine two

482
00:22:47,733 --> 00:22:49,173
Speaker 2: nine two is the text number we get a lot

483
00:22:49,213 --> 00:22:52,333
Speaker 2: of texts of this sort here that I'll share with

484
00:22:52,373 --> 00:22:54,653
Speaker 2: you right now. Hi, guys, it's only the woke left

485
00:22:54,653 --> 00:22:57,133
Speaker 2: wing media like CNN and most New Zealand media that

486
00:22:57,213 --> 00:23:00,493
Speaker 2: hate on Musk. So much for liberal lefty tolerance of

487
00:23:00,533 --> 00:23:02,973
Speaker 2: a genius who is clearly on the spectrum as many

488
00:23:03,093 --> 00:23:06,453
Speaker 2: very clever people are. Thank goodness, the world has people

489
00:23:06,493 --> 00:23:08,693
Speaker 2: like him who actually do things. It's easy to shoot

490
00:23:08,773 --> 00:23:12,693
Speaker 2: arrows from the sidelines. Cheers Peter. Yeah, I mean he's

491
00:23:12,733 --> 00:23:15,773
Speaker 2: definitely not He's definitely well. He was for the for

492
00:23:15,813 --> 00:23:18,493
Speaker 2: the longest time. He was the left lovedom for a

493
00:23:18,573 --> 00:23:20,973
Speaker 2: very long time, and then he sort of wasn't so

494
00:23:21,013 --> 00:23:23,813
Speaker 2: happy with how California was dealing with the COVID response.

495
00:23:24,053 --> 00:23:26,253
Speaker 2: He fell out with them. But you know, his pushing

496
00:23:26,293 --> 00:23:30,373
Speaker 2: of evs was initially very popular, but then he you know,

497
00:23:30,413 --> 00:23:33,533
Speaker 2: he's definitely moved into the Trump camp now, and so

498
00:23:33,933 --> 00:23:37,253
Speaker 2: he is the enemy of one side of the media.

499
00:23:37,333 --> 00:23:39,813
Speaker 3: But correat me if I'm wrong. His whole philosophy about

500
00:23:39,893 --> 00:23:42,413
Speaker 3: getting involved with Tesla and building that into the company

501
00:23:42,453 --> 00:23:45,733
Speaker 3: that it is today was to tackle the emission side

502
00:23:45,773 --> 00:23:49,893
Speaker 3: of the transport sector. Then he started SpaceX primarily because

503
00:23:49,933 --> 00:23:52,933
Speaker 3: of that didn't work and things went wrong on Earth

504
00:23:52,973 --> 00:23:54,893
Speaker 3: when it came to the climate, he would have an

505
00:23:54,973 --> 00:23:57,893
Speaker 3: avenue to try and set up a colony on Mars, right,

506
00:23:57,973 --> 00:24:02,533
Speaker 3: So he was this came from altruism about the planet.

507
00:24:02,853 --> 00:24:05,013
Speaker 3: We wanted to do something to try and save the

508
00:24:05,093 --> 00:24:05,813
Speaker 3: human species.

509
00:24:05,893 --> 00:24:08,293
Speaker 2: Yeah, I'm not sure about that. Maybe he did, I think.

510
00:24:08,413 --> 00:24:10,453
Speaker 2: I think. I mean, look, I'm keen for us to

511
00:24:10,453 --> 00:24:12,173
Speaker 2: go to Mars because it's cool, and I think a

512
00:24:12,173 --> 00:24:13,813
Speaker 2: lot of what Elon Musk does is just because he

513
00:24:13,853 --> 00:24:16,693
Speaker 2: thinks it's cool. But I mean, the Earth would have

514
00:24:16,813 --> 00:24:19,053
Speaker 2: to get pretty bad, pretty bad for it to be

515
00:24:19,053 --> 00:24:20,533
Speaker 2: as bad as Mars is right now.

516
00:24:20,613 --> 00:24:23,053
Speaker 3: Yeah, yeah, oh, one hundred eighty ten eighty. How do

517
00:24:23,133 --> 00:24:28,653
Speaker 3: you feel about Elon Musk, Colleen, You don't like him.

518
00:24:27,653 --> 00:24:31,213
Speaker 12: I don't like I don't know him personally, I think

519
00:24:31,333 --> 00:24:36,573
Speaker 12: Colleen on this issue, Yeah, he You were talking about

520
00:24:36,613 --> 00:24:40,493
Speaker 12: altruism and how he created Tesla out of concern for

521
00:24:40,533 --> 00:24:45,013
Speaker 12: the environment. He also profited hugely from subsidies for being

522
00:24:45,053 --> 00:24:49,253
Speaker 12: in a green business. Yeah, but he didn't do that

523
00:24:49,293 --> 00:24:52,093
Speaker 12: for free. He did that because he was subsidized. The

524
00:24:52,133 --> 00:24:55,173
Speaker 12: only reason he could develop it was because he tapped

525
00:24:55,213 --> 00:24:58,493
Speaker 12: into all the government subsidies that the left Greeney governments

526
00:24:58,493 --> 00:25:03,653
Speaker 12: were providing. He also inherited considerable wealth from his family,

527
00:25:04,053 --> 00:25:07,213
Speaker 12: so it didn't start off a barefoot little boy from Africa.

528
00:25:07,253 --> 00:25:09,613
Speaker 2: Well, we don't know exactly how much how much she

529
00:25:09,613 --> 00:25:11,812
Speaker 2: inherited from his family. I mean he went to Canada

530
00:25:11,893 --> 00:25:15,013
Speaker 2: and he got he got degrees in physics and economics,

531
00:25:15,053 --> 00:25:19,013
Speaker 2: and he at the first startup he in nineteen ninety five.

532
00:25:19,133 --> 00:25:21,133
Speaker 2: It was pretty much off his own bat and his

533
00:25:21,213 --> 00:25:24,093
Speaker 2: interest in text. So I don't know. And that doesn't

534
00:25:24,093 --> 00:25:26,653
Speaker 2: necessarily make you a bad person if your parents.

535
00:25:26,373 --> 00:25:27,413
Speaker 15: Have a bit of money, it doesn't.

536
00:25:27,893 --> 00:25:29,693
Speaker 12: No, it doesn't make you a bad person. It just

537
00:25:29,693 --> 00:25:32,213
Speaker 12: makes you clever with the money you inherit. Because it's

538
00:25:32,213 --> 00:25:34,572
Speaker 12: easier to be rich when you've already got money than

539
00:25:34,613 --> 00:25:36,093
Speaker 12: it is to make money and get rich.

540
00:25:36,173 --> 00:25:39,173
Speaker 2: And it's also it's easy also sorry Colin to speak

541
00:25:39,173 --> 00:25:40,973
Speaker 2: over you there, but it's also very easy to be

542
00:25:40,973 --> 00:25:43,413
Speaker 2: an absolute bum when your parents have got money as well.

543
00:25:43,933 --> 00:25:45,733
Speaker 2: And there's a lot of trust cut there's a lot

544
00:25:45,733 --> 00:25:48,253
Speaker 2: of trust fund kids that are the evidence of that.

545
00:25:49,253 --> 00:25:53,613
Speaker 12: Yes, no, do you know about his philosophy on having children?

546
00:25:53,813 --> 00:25:54,413
Speaker 12: Mister Musk.

547
00:25:55,093 --> 00:25:57,773
Speaker 2: I know that he's got twelve children himself, well, his

548
00:25:57,853 --> 00:25:58,693
Speaker 2: father twelve children.

549
00:25:59,693 --> 00:26:02,893
Speaker 12: Yes, he believes that he's genetically as superior as human

550
00:26:02,933 --> 00:26:05,373
Speaker 12: being and it is his duty for the good of

551
00:26:05,413 --> 00:26:07,493
Speaker 12: the world to have as many children as you can.

552
00:26:08,413 --> 00:26:12,773
Speaker 12: He actually makes arrangements with women to bear women whom

553
00:26:12,773 --> 00:26:18,532
Speaker 12: he thinks are of a similar superiority as himself to

554
00:26:18,773 --> 00:26:21,893
Speaker 12: have children with him. He's had children with women that

555
00:26:22,013 --> 00:26:26,613
Speaker 12: work for SpaceX and children with women that he's in

556
00:26:26,653 --> 00:26:30,973
Speaker 12: relationships with and marriages with. But he's on a mission

557
00:26:31,453 --> 00:26:34,373
Speaker 12: to spread his genes as wide as he can because

558
00:26:34,373 --> 00:26:35,453
Speaker 12: he thinks, well, I.

559
00:26:35,693 --> 00:26:37,973
Speaker 2: Don't know if I've never really read that he thinks

560
00:26:38,013 --> 00:26:40,733
Speaker 2: he's fantastic and needs to spread his genes. I'm not

561
00:26:40,773 --> 00:26:42,173
Speaker 2: sure about that part of it. But I know he

562
00:26:42,213 --> 00:26:45,053
Speaker 2: thinks that we need more people on the planet, and

563
00:26:45,093 --> 00:26:52,213
Speaker 2: he's hugely concerned about population collapse and the world. And so,

564
00:26:52,373 --> 00:26:55,413
Speaker 2: you know, just today and one of as many tweets,

565
00:26:55,413 --> 00:26:57,253
Speaker 2: for one of his many tweets today, he was saying

566
00:26:57,653 --> 00:27:02,213
Speaker 2: that about tax breaks for women that have children, that

567
00:27:02,253 --> 00:27:02,973
Speaker 2: he supports them.

568
00:27:04,093 --> 00:27:07,532
Speaker 12: Now he said it himself. He's spoken widely on it

569
00:27:07,733 --> 00:27:11,413
Speaker 12: on the subject of his own genetic superiority, which kind

570
00:27:11,453 --> 00:27:14,733
Speaker 12: of worries me. I'm like, yeah, okay, well.

571
00:27:15,533 --> 00:27:19,133
Speaker 2: He certainly doesn't have sporting genetic superiority. Have you ever

572
00:27:19,173 --> 00:27:21,453
Speaker 2: seen him trying to jump or walk or or do

573
00:27:21,573 --> 00:27:22,213
Speaker 2: anything like that?

574
00:27:22,693 --> 00:27:24,413
Speaker 3: He was very fight Mark Zuckerberg.

575
00:27:25,733 --> 00:27:26,533
Speaker 2: He's very awkward.

576
00:27:26,693 --> 00:27:30,533
Speaker 12: Yeah, he is very awkward. I'm sure he's on a spectrum. Yeah,

577
00:27:30,533 --> 00:27:32,733
Speaker 12: And I'm sure he's very clever. But I also personally

578
00:27:32,813 --> 00:27:34,973
Speaker 12: think he's a bit of a scam artist and he's

579
00:27:34,973 --> 00:27:35,533
Speaker 12: not lucky.

580
00:27:36,293 --> 00:27:38,293
Speaker 2: Oh I mean, I mean, I mean, there's no doubt

581
00:27:38,293 --> 00:27:41,213
Speaker 2: to make forty two billion dollars, you've got to be lucky.

582
00:27:41,773 --> 00:27:43,333
Speaker 2: I mean, you've got to be lucky as well as

583
00:27:43,373 --> 00:27:45,853
Speaker 2: you are. You've got to be smart and you've got

584
00:27:45,893 --> 00:27:46,613
Speaker 2: to be lucky. Yeah.

585
00:27:46,733 --> 00:27:49,893
Speaker 3: Yeah, Well, what I question with Elon Musk and people

586
00:27:49,933 --> 00:27:52,453
Speaker 3: like Mark Zuckerberg and these very clever guys that have

587
00:27:52,493 --> 00:27:55,973
Speaker 3: made incredible wealth and created incredible things, but how close

588
00:27:56,013 --> 00:27:59,733
Speaker 3: do we want them to politics and the policy made

589
00:27:59,733 --> 00:28:01,893
Speaker 3: for the good of everybody? Do they need to stay

590
00:28:01,973 --> 00:28:03,933
Speaker 3: in their lane? And that's what I worry a little

591
00:28:03,933 --> 00:28:06,493
Speaker 3: bit about someone like Elon Musk is that he is

592
00:28:06,813 --> 00:28:10,813
Speaker 3: he is incredibly bright, genius and he's done incredible things.

593
00:28:10,813 --> 00:28:13,733
Speaker 3: But is he the right person to help decide policy

594
00:28:13,933 --> 00:28:16,933
Speaker 3: for the people of America. I don't know. I don't know.

595
00:28:16,973 --> 00:28:17,533
Speaker 3: I question that.

596
00:28:18,733 --> 00:28:21,773
Speaker 12: No, I don't think he is. He hasn't lived in

597
00:28:21,773 --> 00:28:26,373
Speaker 12: the real world much, so he doesn't understand the challenges

598
00:28:26,453 --> 00:28:27,693
Speaker 12: of everyday people.

599
00:28:29,293 --> 00:28:30,493
Speaker 14: Colly, that's the thing.

600
00:28:30,693 --> 00:28:32,373
Speaker 12: Yeah, thank you anyway, I'll let you get on.

601
00:28:32,453 --> 00:28:33,213
Speaker 3: No, thank you very much.

602
00:28:33,253 --> 00:28:34,213
Speaker 2: Thank you for your call, Colin.

603
00:28:34,333 --> 00:28:36,533
Speaker 3: Really good to chat. Oh eight hundred eighty ten eighty

604
00:28:36,613 --> 00:28:38,133
Speaker 3: is the number to call. How do you feel about

605
00:28:38,133 --> 00:28:40,933
Speaker 3: Elon Musk? Love to hear from you. It is twenty

606
00:28:41,013 --> 00:28:43,453
Speaker 3: to two beg fary. Shortly, you're listening to Matton.

607
00:28:43,213 --> 00:28:48,733
Speaker 1: Tyler, Mattie Taylor Adams with you as your afternoon rolls

608
00:28:48,813 --> 00:28:52,653
Speaker 1: on matt and Taylor Afternoon with the Volvo XC ninety,

609
00:28:52,773 --> 00:28:55,893
Speaker 1: attention to detail and a commitment to comfort news talks.

610
00:28:55,893 --> 00:28:58,693
Speaker 2: They'd be we're talking about Elon Musk. Do you love

611
00:28:58,773 --> 00:29:01,013
Speaker 2: him or hate him? Oh? Eight hundred and eighty ten eighty.

612
00:29:01,053 --> 00:29:03,013
Speaker 2: He's a text love Elon Musk. He can put his

613
00:29:03,013 --> 00:29:04,773
Speaker 2: boots under my bed any day.

614
00:29:05,053 --> 00:29:05,333
Speaker 8: Lol.

615
00:29:05,373 --> 00:29:09,413
Speaker 2: That's from Kathy. Well, he'd be keen because he seems

616
00:29:09,453 --> 00:29:13,813
Speaker 2: to be very, very keen on having as many children

617
00:29:13,853 --> 00:29:19,653
Speaker 2: as prompt as possible. He's had a father twelve children

618
00:29:19,693 --> 00:29:24,613
Speaker 2: with several different women. He also offers to father children

619
00:29:24,653 --> 00:29:27,973
Speaker 2: with friends. Right, he's keen. He really really concerned about

620
00:29:28,013 --> 00:29:30,053
Speaker 2: the collapsing birth rate. And you know what, he can

621
00:29:30,053 --> 00:29:33,213
Speaker 2: support them, and he's doing his part. He can support them.

622
00:29:33,493 --> 00:29:36,653
Speaker 2: He helps in so many disasters, floods, hurricanes, helps USA

623
00:29:36,813 --> 00:29:39,933
Speaker 2: and others in getting Internet help working. When others talk

624
00:29:40,013 --> 00:29:43,933
Speaker 2: about yes, he has strange ideas, not perfect, he's on

625
00:29:43,973 --> 00:29:45,533
Speaker 2: the spectrum. Yeah.

626
00:29:45,933 --> 00:29:50,253
Speaker 3: Yeah, and this one guys, mask boarts Twitter so he

627
00:29:50,253 --> 00:29:54,173
Speaker 3: could reinstate free speech, something that the government and Facebook

628
00:29:54,213 --> 00:29:58,453
Speaker 3: had tampered with for many years. He is great from Diane.

629
00:29:58,733 --> 00:30:03,493
Speaker 2: Yeah, all right, okay, so one hundred eighty ten eighty Glynn,

630
00:30:03,613 --> 00:30:05,613
Speaker 2: your thoughts on Muskie?

631
00:30:07,653 --> 00:30:13,893
Speaker 5: Elon Musk, I'd think he's Virginia. I think he's awesome, excellently.

632
00:30:14,973 --> 00:30:17,533
Speaker 2: What do you like about him?

633
00:30:18,253 --> 00:30:21,613
Speaker 5: He's like a real life Pony Stark when you think

634
00:30:21,613 --> 00:30:26,253
Speaker 5: about it, you know, and I don't think there's anyone

635
00:30:26,333 --> 00:30:29,693
Speaker 5: else on the planet quite like him. So for me,

636
00:30:29,893 --> 00:30:34,933
Speaker 5: that's the appealing thing about him. First time I heard

637
00:30:34,933 --> 00:30:37,133
Speaker 5: about him was probably about five years ago when I,

638
00:30:37,173 --> 00:30:38,933
Speaker 5: me and my brother were out on his farm out

639
00:30:38,973 --> 00:30:43,573
Speaker 5: and Mango Tarsity, and we looked up stargazing and we

640
00:30:43,653 --> 00:30:48,453
Speaker 5: just saw these freaking big line of you know, the

641
00:30:48,813 --> 00:30:52,573
Speaker 5: Starlink thing. We didn't know what it was, so we're

642
00:30:52,573 --> 00:30:55,653
Speaker 5: freaking out. Made a post on Facebook, and then everyone

643
00:30:55,653 --> 00:30:58,293
Speaker 5: gets back to us, Oh no, that's basics Elon Musk,

644
00:30:58,333 --> 00:31:00,933
Speaker 5: and I was like, who's Elon Musk? I was like, man,

645
00:31:00,973 --> 00:31:08,293
Speaker 5: I have to google this guys see you know, and yeah,

646
00:31:08,493 --> 00:31:13,213
Speaker 5: just awesome, Like how did I make know about this guy?

647
00:31:13,773 --> 00:31:15,013
Speaker 3: Yeah? And I remember the.

648
00:31:15,013 --> 00:31:19,333
Speaker 2: First time I saw those Starlink satellites go across in

649
00:31:19,373 --> 00:31:22,173
Speaker 2: a line, you know, and the way things that are

650
00:31:23,013 --> 00:31:28,493
Speaker 2: digitally controlled are so different from nature, though exactly equally distanced.

651
00:31:28,533 --> 00:31:31,813
Speaker 2: And they went past over a party, and I thought, geez,

652
00:31:32,053 --> 00:31:35,813
Speaker 2: imagine being that guy, Elon Musk, that you have the

653
00:31:35,973 --> 00:31:39,173
Speaker 2: power you have those flying over a party. I'm standing

654
00:31:39,173 --> 00:31:40,013
Speaker 2: in a Mount Roskell.

655
00:31:40,133 --> 00:31:43,653
Speaker 5: Yeah exactly, So that's that's it. Like I was thinking,

656
00:31:43,813 --> 00:31:46,453
Speaker 5: is there anyone else on the planet who can see

657
00:31:46,773 --> 00:31:48,053
Speaker 5: that they do that sort of thing?

658
00:31:48,253 --> 00:31:51,293
Speaker 3: Yeah, well that's exactly it. Glenn, that specific project he

659
00:31:51,373 --> 00:31:54,573
Speaker 3: cracked it. I remember covering a project from Google. They

660
00:31:54,653 --> 00:31:58,093
Speaker 3: called it Loon, which was effectively sending up these balloons

661
00:31:58,093 --> 00:32:00,293
Speaker 3: into the stratosphere with the hope that they get enough

662
00:32:00,333 --> 00:32:03,293
Speaker 3: balloons up there they can have Internet for everybody. It failed,

663
00:32:03,333 --> 00:32:06,853
Speaker 3: whereas Elon Musk clearly succeeded with Starlink.

664
00:32:08,453 --> 00:32:10,613
Speaker 5: And the thing with him is he he's a trial

665
00:32:10,653 --> 00:32:14,013
Speaker 5: and error guy, and he doesn't give up. He's trying to.

666
00:32:14,813 --> 00:32:17,013
Speaker 5: If he has a goal, he'll just go for that goal.

667
00:32:17,253 --> 00:32:18,533
Speaker 5: And he's got the money to back it up.

668
00:32:18,573 --> 00:32:19,013
Speaker 13: Obviously.

669
00:32:19,293 --> 00:32:21,533
Speaker 5: Yeah, when it comes to.

670
00:32:21,573 --> 00:32:25,733
Speaker 2: Him, hey, thank you so much, Glynn. As someone said

671
00:32:25,813 --> 00:32:28,453
Speaker 2: here on the text Matt and Tyler, it appears the

672
00:32:28,493 --> 00:32:31,813
Speaker 2: more one works, thinks, invests, and actually does about something

673
00:32:32,053 --> 00:32:34,493
Speaker 2: he's inspired by, the lucky he becomes. Dennis. I think

674
00:32:34,573 --> 00:32:37,653
Speaker 2: there's there's something to be said, and that excuse me,

675
00:32:37,733 --> 00:32:40,573
Speaker 2: says Tracy. There is way more to being a father

676
00:32:40,653 --> 00:32:42,893
Speaker 2: than just paying for their upkeep. That's a very good point.

677
00:32:42,933 --> 00:32:45,773
Speaker 2: I did say he can't afford to support them, but

678
00:32:46,373 --> 00:32:48,933
Speaker 2: you know, money isn't everything when it comes to supporting children,

679
00:32:49,093 --> 00:32:50,653
Speaker 2: you know, And if you've got twelve kids and you're

680
00:32:50,693 --> 00:32:54,733
Speaker 2: as busy as him, you could, you could, you know,

681
00:32:54,933 --> 00:32:57,813
Speaker 2: make the allegation that he's not being a very present

682
00:32:57,893 --> 00:33:00,013
Speaker 2: father when it comes to all his kids. I understand

683
00:33:01,133 --> 00:33:03,693
Speaker 2: they live in most of the kids live in a compound, right,

684
00:33:04,453 --> 00:33:06,773
Speaker 2: and that he spends a bit of time. The littlest

685
00:33:06,773 --> 00:33:08,613
Speaker 2: one was an X. He seems to have them on

686
00:33:08,613 --> 00:33:09,653
Speaker 2: his shoulders a lot of the time.

687
00:33:09,733 --> 00:33:11,853
Speaker 3: Yeah, it's a hell of a headline. Though, kept in

688
00:33:11,853 --> 00:33:12,573
Speaker 3: a compound.

689
00:33:12,853 --> 00:33:15,213
Speaker 2: Well, I don't think they kept in a compound. He's

690
00:33:15,253 --> 00:33:16,253
Speaker 2: got a compound that they.

691
00:33:16,653 --> 00:33:18,813
Speaker 3: Live, and he doesn't, isn't. He hasn't and he looks

692
00:33:18,853 --> 00:33:19,453
Speaker 3: after them.

693
00:33:19,293 --> 00:33:23,013
Speaker 2: And he hasn't imprisoned them in a compound. There's a

694
00:33:23,053 --> 00:33:26,653
Speaker 2: compound that's available. And imagine that compound is a series

695
00:33:26,653 --> 00:33:28,973
Speaker 2: of very very nice houses and palls and stuff. Yeah,

696
00:33:29,133 --> 00:33:32,893
Speaker 2: and some of their mums liver there is as well.

697
00:33:32,933 --> 00:33:35,453
Speaker 2: But yeah, I absolutely agree with Tracy that money isn't

698
00:33:35,453 --> 00:33:38,213
Speaker 2: everything when it comes to being a very good dad.

699
00:33:38,333 --> 00:33:41,253
Speaker 3: Yeah, thank you, Tracy, Dave you Reckon, he's a genius.

700
00:33:42,373 --> 00:33:44,733
Speaker 19: Yeah, look, we could buy it. We could bring a

701
00:33:44,813 --> 00:33:47,853
Speaker 19: dog into here, get rid of your climb and commissioner,

702
00:33:48,253 --> 00:33:52,453
Speaker 19: we'll talk with the pass card and imply and apply

703
00:33:52,653 --> 00:33:56,413
Speaker 19: some of the Trump policy to New Zealand because look,

704
00:33:56,493 --> 00:34:01,853
Speaker 19: way the Trump's man's a genius toos by tariffs and

705
00:34:02,013 --> 00:34:04,453
Speaker 19: they come around. You don't take them movements.

706
00:34:04,493 --> 00:34:05,053
Speaker 13: Well, we're going to.

707
00:34:04,973 --> 00:34:09,453
Speaker 19: Buy the tariffs and they soon come around. Yeah. So

708
00:34:09,493 --> 00:34:11,932
Speaker 19: because yeah, give her a lot of things so quick,

709
00:34:12,013 --> 00:34:14,373
Speaker 19: we're going to have a doze here. Some of the

710
00:34:14,413 --> 00:34:16,373
Speaker 19: councils we owed money good.

711
00:34:16,613 --> 00:34:18,933
Speaker 2: I mean, who's closest to our Elon Musk in New Zealand.

712
00:34:18,933 --> 00:34:21,732
Speaker 2: We don't really have anything anything like that. Great Graham

713
00:34:21,773 --> 00:34:24,253
Speaker 2: Heart doesn't seem to be he's our he's our richest.

714
00:34:24,613 --> 00:34:27,493
Speaker 2: He doesn't seem to be heavily interested in politics.

715
00:34:27,693 --> 00:34:30,293
Speaker 3: Peter Beek is very a very clever guy, but I

716
00:34:30,293 --> 00:34:32,613
Speaker 3: don't think he's that actor for social media.

717
00:34:32,813 --> 00:34:35,453
Speaker 2: Yeah. Peter Thiel, who obviously has done some stuff with

718
00:34:35,893 --> 00:34:39,453
Speaker 2: Elon Musk in the past, has got residencies here. But

719
00:34:39,813 --> 00:34:41,733
Speaker 2: we don't really have our own Elon Musk, do we?

720
00:34:41,893 --> 00:34:45,093
Speaker 3: No? No? Oh, one hundred eighty ten eighty is the

721
00:34:45,173 --> 00:34:47,093
Speaker 3: number to call David, thank you very much for your

722
00:34:47,133 --> 00:34:50,732
Speaker 3: phone call. It is eleven to two back very shortly

723
00:34:50,813 --> 00:34:52,213
Speaker 3: nine two nine to If you want to send us

724
00:34:52,213 --> 00:34:53,813
Speaker 3: a text message.

725
00:34:54,853 --> 00:34:58,732
Speaker 1: Mattie Tyler Adams taking your calls on eight hundred eighty

726
00:34:58,773 --> 00:35:02,213
Speaker 1: ten eighty Matten Taylor Afternoon with the Volvo xc N

727
00:35:02,213 --> 00:35:06,173
Speaker 1: eighty Tick every box, a seamless experience awaits news.

728
00:35:05,973 --> 00:35:06,533
Speaker 8: Dogs, b.

729
00:35:08,413 --> 00:35:11,453
Speaker 3: Talks. There'd be nine to two, David, how do you

730
00:35:11,493 --> 00:35:12,533
Speaker 3: feel about Elon Musk?

731
00:35:13,933 --> 00:35:18,813
Speaker 20: I think it's pretty damn brilliant, really, And it sort

732
00:35:18,853 --> 00:35:23,093
Speaker 20: of amazes me that the way that he was so highly.

733
00:35:22,813 --> 00:35:27,252
Speaker 9: Thought of until he back to Trump, whereas he never

734
00:35:27,293 --> 00:35:31,133
Speaker 9: really changed himself. He's just he just sees the common

735
00:35:31,333 --> 00:35:35,212
Speaker 9: sense of what Trump says. And I know Trump says

736
00:35:35,213 --> 00:35:36,172
Speaker 9: a few dicky.

737
00:35:35,933 --> 00:35:38,333
Speaker 13: Things, but he's he's.

738
00:35:38,133 --> 00:35:44,013
Speaker 9: A genius, just like Elon Musk. And I think American

739
00:35:44,893 --> 00:35:47,732
Speaker 9: is the best hands of all now that the two

740
00:35:47,773 --> 00:35:52,173
Speaker 9: of them look. Elon used to sleep on the floor

741
00:35:52,213 --> 00:35:57,693
Speaker 9: and in his factory, in his cafes, and mat we

742
00:35:57,893 --> 00:36:01,213
Speaker 9: never had any hierarchy. Everyone was treated the same, you know.

743
00:36:01,773 --> 00:36:03,213
Speaker 9: I think he's got a lot of respect for the

744
00:36:03,293 --> 00:36:03,893
Speaker 9: human race.

745
00:36:05,413 --> 00:36:06,933
Speaker 2: I think it's a man who makes a lot of

746
00:36:06,933 --> 00:36:09,333
Speaker 2: money but does not seem to be that interested in money,

747
00:36:09,333 --> 00:36:11,813
Speaker 2: which is an interesting part of him. He seems to

748
00:36:11,853 --> 00:36:14,453
Speaker 2: be more interested in his in his projects or his ideas.

749
00:36:15,053 --> 00:36:19,373
Speaker 20: What do you think, Yeah, absolutely, I just think that

750
00:36:20,453 --> 00:36:26,692
Speaker 20: something one of the main things that was lacking integrity

751
00:36:27,253 --> 00:36:32,013
Speaker 20: and that I believe loaded with integrity and along with

752
00:36:32,253 --> 00:36:33,293
Speaker 20: Trump the tournaments.

753
00:36:37,013 --> 00:36:39,373
Speaker 2: What do you think about this text here that has

754
00:36:39,453 --> 00:36:41,692
Speaker 2: just come through Josh the guy as an idiot takes

755
00:36:41,693 --> 00:36:44,653
Speaker 2: credit for everyone else. He's a thief. Amazing what people

756
00:36:44,773 --> 00:36:47,853
Speaker 2: think without knowing. Look up this guy on YouTube and

757
00:36:47,893 --> 00:36:50,053
Speaker 2: TikTok and you will see what he is really like.

758
00:36:50,293 --> 00:36:57,613
Speaker 2: I can't believe these people are liking this guy. I mean,

759
00:36:58,253 --> 00:37:00,893
Speaker 2: I mean, he definitely started a number of companies the

760
00:37:00,973 --> 00:37:03,453
Speaker 2: idea that he I mean, what if you think of

761
00:37:04,333 --> 00:37:06,652
Speaker 2: Elon Musk, you can't say that he hasn't been there

762
00:37:06,653 --> 00:37:09,453
Speaker 2: at the start of some company. And he was there

763
00:37:09,453 --> 00:37:12,053
Speaker 2: at the founding of open ai with Sam Oltman in

764
00:37:12,053 --> 00:37:16,053
Speaker 2: twenty fifteen. He was he started x dot com and

765
00:37:16,133 --> 00:37:19,333
Speaker 2: that became PayPal, which sold for millions. He started SpaceX,

766
00:37:19,373 --> 00:37:23,373
Speaker 2: so he and he was there six months after Tesla

767
00:37:23,413 --> 00:37:25,573
Speaker 2: started and was there for their first prototypes and got

768
00:37:25,573 --> 00:37:27,213
Speaker 2: their first round of money. As I was saying before,

769
00:37:27,253 --> 00:37:30,973
Speaker 2: So whatever your level at Elon Musk, you can't level

770
00:37:31,053 --> 00:37:33,133
Speaker 2: that he has just a thief and he's ridden on

771
00:37:33,173 --> 00:37:36,413
Speaker 2: other people's genius. I think he has surrounded himself by

772
00:37:36,493 --> 00:37:39,893
Speaker 2: very smart people and he's enabled people to achieve would

773
00:37:39,933 --> 00:37:41,333
Speaker 2: be a better way to put it. I mean, of course,

774
00:37:41,413 --> 00:37:43,732
Speaker 2: Elon Musk wouldn't say that he's done every single part

775
00:37:43,813 --> 00:37:46,373
Speaker 2: of SpaceX and every single part of Tesla. You know,

776
00:37:46,413 --> 00:37:49,853
Speaker 2: he's as every CEO of a company wouldn't claim to

777
00:37:49,893 --> 00:37:52,853
Speaker 2: be the genius across the board that does every little

778
00:37:52,893 --> 00:37:54,733
Speaker 2: bit of inventing across the entire company.

779
00:37:55,773 --> 00:38:01,613
Speaker 9: Yeah, but who would sooner have looking after AI China

780
00:38:02,653 --> 00:38:09,213
Speaker 9: or a market. I wouldn't do their AI. I wouldn't

781
00:38:09,253 --> 00:38:13,173
Speaker 9: like all my information and everything about me stored in China.

782
00:38:14,653 --> 00:38:16,893
Speaker 3: Well, there's a fair point, David. I mean I mentioned before,

783
00:38:17,053 --> 00:38:20,453
Speaker 3: I think Elon is is an absolute genius. Clearly he is,

784
00:38:20,493 --> 00:38:23,853
Speaker 3: and he's created some phenomenal things for the human race.

785
00:38:24,093 --> 00:38:26,053
Speaker 3: But do I want on that close to politics? But

786
00:38:26,133 --> 00:38:28,053
Speaker 3: just hearing you say that, maybe you do want to

787
00:38:28,133 --> 00:38:31,493
Speaker 3: keep guys like Elon Musk and Mark Zuckerberg close to

788
00:38:31,533 --> 00:38:35,453
Speaker 3: the political arena because the world is coming to a

789
00:38:35,453 --> 00:38:37,253
Speaker 3: point where you need guys like that around you.

790
00:38:38,133 --> 00:38:40,693
Speaker 9: Well, I draw I draw the line at Zuckerberg because

791
00:38:40,733 --> 00:38:43,373
Speaker 9: he's just he's just jumped from one ship to the other,

792
00:38:43,453 --> 00:38:46,733
Speaker 9: and all he cares about his billions and then he

793
00:38:46,813 --> 00:38:48,652
Speaker 9: puts out these things that they're not going to do

794
00:38:49,653 --> 00:38:51,853
Speaker 9: the fact checking or anything.

795
00:38:51,893 --> 00:38:54,293
Speaker 21: On Facebook.

796
00:38:54,373 --> 00:38:57,093
Speaker 9: Well, I just happened to see a post about King

797
00:38:57,173 --> 00:38:59,893
Speaker 9: Trails the other day, and so I shared it and

798
00:38:59,973 --> 00:39:02,172
Speaker 9: then I got fact checked and it got taken down.

799
00:39:03,533 --> 00:39:05,533
Speaker 2: Yeah, I mean, that's that's one thing that when people

800
00:39:05,533 --> 00:39:09,252
Speaker 2: complain about X, you know, people say that, you know, whatever,

801
00:39:09,293 --> 00:39:12,653
Speaker 2: it's gone whatever way. He is very focused on free speech,

802
00:39:12,813 --> 00:39:16,613
Speaker 2: and unlike other social media platforms, the algorithm or most

803
00:39:16,613 --> 00:39:18,293
Speaker 2: of the algorithm for X are out there that you

804
00:39:18,333 --> 00:39:21,453
Speaker 2: can see how stuff gets sorted and how things rise

805
00:39:21,493 --> 00:39:24,652
Speaker 2: to the top on X. So yeah, you know that

806
00:39:24,933 --> 00:39:27,453
Speaker 2: some of the stuff that's leveled against him is pretty unfair.

807
00:39:28,173 --> 00:39:30,053
Speaker 2: Going back to what thank you, thank you so much

808
00:39:30,093 --> 00:39:32,652
Speaker 2: for you for your call, David. Now, I was saying,

809
00:39:32,693 --> 00:39:35,293
Speaker 2: who is New Zealand's Elon Musk And a bunch of

810
00:39:35,333 --> 00:39:38,173
Speaker 2: people have text through Nick Mobray, Oh yes, he is

811
00:39:38,213 --> 00:39:40,732
Speaker 2: the c classless thing. We've got to an Elon Musk

812
00:39:40,773 --> 00:39:42,533
Speaker 2: the zoo. A lot of people saying he is now

813
00:39:42,653 --> 00:39:44,893
Speaker 2: richer than Graham Heart. That's not true. Nick Mobra is

814
00:39:44,933 --> 00:39:49,613
Speaker 2: not richer than Graham Heart. Graham Heart is our riches.

815
00:39:49,773 --> 00:39:53,093
Speaker 3: Ye, what would the Mobrays be called a billionaire.

816
00:39:52,733 --> 00:39:55,413
Speaker 2: According to this? And look, boy, you look things up

817
00:39:55,413 --> 00:39:57,093
Speaker 2: on the internet. Who knows what's true and what's not.

818
00:39:57,173 --> 00:39:58,573
Speaker 2: So you know, I'm not willing to die in the cell.

819
00:39:59,053 --> 00:40:03,693
Speaker 2: But according to twenty eighth of January twenty twenty five,

820
00:40:04,013 --> 00:40:07,893
Speaker 2: which is right now, I'm suspicious of this site, it's

821
00:40:07,973 --> 00:40:10,772
Speaker 2: his Graham Hearts with ten point eight one billion. Well,

822
00:40:11,653 --> 00:40:13,893
Speaker 2: Peter Jackson's doing pretty good according to this one point

823
00:40:13,933 --> 00:40:14,413
Speaker 2: four to seven.

824
00:40:14,533 --> 00:40:15,253
Speaker 3: Yeah, that's solid.

825
00:40:15,293 --> 00:40:17,773
Speaker 2: Maybe Peter Jackson's arilon musk. I mean he's operating in

826
00:40:17,773 --> 00:40:20,853
Speaker 2: the tech world. Yeah, he sort of. He floats around

827
00:40:20,973 --> 00:40:22,172
Speaker 2: politics a little bit.

828
00:40:22,293 --> 00:40:23,373
Speaker 3: Doesn't my shoes that much?

829
00:40:23,453 --> 00:40:23,493
Speaker 10: Is?

830
00:40:23,573 --> 00:40:23,773
Speaker 3: You know?

831
00:40:23,973 --> 00:40:26,613
Speaker 2: It was purchasers in Wellington and such. Yeah, maybe it's

832
00:40:26,653 --> 00:40:27,333
Speaker 2: Peter Jackson.

833
00:40:28,173 --> 00:40:30,773
Speaker 3: Thank you very much for that. Love that discussion. Right

834
00:40:30,813 --> 00:40:33,813
Speaker 3: after two o'clock, let's have a chat about recycling. I

835
00:40:33,933 --> 00:40:36,293
Speaker 3: mentioned that I put some of my rubbish in the dishwasher.

836
00:40:36,373 --> 00:40:38,693
Speaker 3: Matt laughed at me and called me an absolute.

837
00:40:38,413 --> 00:40:39,893
Speaker 2: Lunatic and a loser.

838
00:40:40,213 --> 00:40:41,413
Speaker 3: Let's open that up.

839
00:40:42,773 --> 00:40:47,213
Speaker 1: Your new home for insightful and entertaining talk. It's Mattie

840
00:40:47,253 --> 00:40:51,253
Speaker 1: and Taylor Adams afternoons with the Volvo XC ninety on

841
00:40:51,413 --> 00:40:51,933
Speaker 1: News Talk.

842
00:40:52,053 --> 00:40:55,213
Speaker 3: Send me well, hello to you, welcome back into the program.

843
00:40:55,293 --> 00:40:59,213
Speaker 3: Hope you having a great shoesday afternoon, looking forward to

844
00:40:59,253 --> 00:41:01,773
Speaker 3: this chat. There was a post on social media that

845
00:41:01,853 --> 00:41:03,692
Speaker 3: I saw and I court my interest, so I'm going

846
00:41:03,733 --> 00:41:06,413
Speaker 3: to read out a little bit of it here. How

847
00:41:06,453 --> 00:41:09,373
Speaker 3: clean does recycling need to be? This is an ongoing

848
00:41:09,413 --> 00:41:12,173
Speaker 3: point of difference between my wife and I said in

849
00:41:12,253 --> 00:41:14,493
Speaker 3: gentler words, the poster said, one of us seems to

850
00:41:14,533 --> 00:41:17,133
Speaker 3: think the inside of a hormous container needs to be

851
00:41:17,173 --> 00:41:22,173
Speaker 3: spark clean. Sometimes it even goes through the dishwasher apparently rinsed. However,

852
00:41:22,573 --> 00:41:25,293
Speaker 3: the other one of us prefers to do other things

853
00:41:25,293 --> 00:41:29,053
Speaker 3: with their time instead of cleaning rubbish. So long as

854
00:41:29,093 --> 00:41:32,133
Speaker 3: it's clearly empty but has some residue on the inside,

855
00:41:32,173 --> 00:41:35,933
Speaker 3: then the recycling plants can manage that. Surely, the general

856
00:41:35,933 --> 00:41:39,893
Speaker 3: Auckland public doesn't clean their recycling anyway, so average is fine. Well,

857
00:41:39,973 --> 00:41:44,613
Speaker 3: dare poster, I am now one of those Aucklanders formerly Contabrian,

858
00:41:44,973 --> 00:41:47,893
Speaker 3: that does clean my rubbish to the point where it

859
00:41:47,933 --> 00:41:50,493
Speaker 3: is sparkling clean, and sometimes yes, I put it through

860
00:41:50,493 --> 00:41:51,093
Speaker 3: the dishwasher.

861
00:41:51,413 --> 00:41:54,133
Speaker 2: I just cannot believe that people like you exist that

862
00:41:54,213 --> 00:41:55,973
Speaker 2: you would put rubbish through the dishwasher.

863
00:41:56,293 --> 00:41:59,293
Speaker 3: Sometimes it needs it. Sometimes it needs those magical tablets

864
00:41:59,333 --> 00:42:01,533
Speaker 3: just to get the last that picks peanut butter out

865
00:42:01,533 --> 00:42:02,053
Speaker 3: of that jar.

866
00:42:02,493 --> 00:42:04,253
Speaker 2: If I saw, I think that was the end of

867
00:42:04,253 --> 00:42:07,533
Speaker 2: my relationship. If my partner started putting rubbish through the

868
00:42:07,533 --> 00:42:10,013
Speaker 2: dishwasher to clean that to recycling, that would be it.

869
00:42:10,373 --> 00:42:13,453
Speaker 2: That would be just get the rubbish out of the dishwasher. So,

870
00:42:13,733 --> 00:42:18,933
Speaker 2: I mean, it's absolutely ridiculous. So if recycling is so

871
00:42:19,093 --> 00:42:23,533
Speaker 2: delicate that everything has to be cleaned before it goes through,

872
00:42:24,453 --> 00:42:28,373
Speaker 2: then recycling doesn't really work. Because how many humans are

873
00:42:28,413 --> 00:42:32,253
Speaker 2: as crazy as you? How many everyday New Zealanders are

874
00:42:32,253 --> 00:42:33,773
Speaker 2: as crazy as you that they're going to put their

875
00:42:33,853 --> 00:42:35,893
Speaker 2: rubbish through the bloody dishwasher.

876
00:42:35,933 --> 00:42:36,172
Speaker 13: Mate.

877
00:42:36,253 --> 00:42:38,933
Speaker 3: Well, the reason I started doing it is because it

878
00:42:39,013 --> 00:42:42,333
Speaker 3: was said in christ Church that any contamination in the

879
00:42:42,373 --> 00:42:44,933
Speaker 3: recycling truck that went around it was a specific truck

880
00:42:45,133 --> 00:42:47,813
Speaker 3: just for recycling, just for the yellow bins. Then the

881
00:42:47,893 --> 00:42:50,973
Speaker 3: whole lot would go to landfill, go straight into the hole.

882
00:42:51,133 --> 00:42:53,373
Speaker 3: So I took it upon myself to do the right thing.

883
00:42:53,373 --> 00:42:56,733
Speaker 3: If I'm going to the hassle of recycling my rubbish,

884
00:42:56,813 --> 00:42:58,813
Speaker 3: I'm going to make sure it's clean to the standard.

885
00:42:59,133 --> 00:43:00,853
Speaker 3: But that's just not going to get chucked in a hole.

886
00:43:00,853 --> 00:43:02,973
Speaker 2: But Tyler, that would mean that all of it was

887
00:43:03,053 --> 00:43:06,053
Speaker 2: going to the landfall, because what chances are that everyone

888
00:43:06,053 --> 00:43:08,093
Speaker 2: in the street is psychopathic as you. There's bound to

889
00:43:08,133 --> 00:43:10,973
Speaker 2: be someone's saying that's not cleaning their rubbish and putting

890
00:43:10,973 --> 00:43:11,252
Speaker 2: it out.

891
00:43:11,293 --> 00:43:13,333
Speaker 3: Well, you're right, But I lived in Hope. I just

892
00:43:13,493 --> 00:43:16,533
Speaker 3: lived in this fantasy land that maybe everybody on my

893
00:43:16,653 --> 00:43:19,893
Speaker 3: street was going to be cleaning it to my exact standards.

894
00:43:20,333 --> 00:43:22,533
Speaker 2: I'd love to hear from people on eight hundred and

895
00:43:22,533 --> 00:43:25,253
Speaker 2: eighty ten eighty nineteen niney two if you want to

896
00:43:25,293 --> 00:43:28,093
Speaker 2: text us that is actually going through this and is

897
00:43:28,213 --> 00:43:32,333
Speaker 2: actually following the recycling rules and actually knows what plastic

898
00:43:32,333 --> 00:43:34,333
Speaker 2: containers numbers one, two, and five.

899
00:43:34,613 --> 00:43:34,693
Speaker 18: Me.

900
00:43:36,253 --> 00:43:38,133
Speaker 3: Yeah, well you've got me there. I mean, I can't

901
00:43:38,173 --> 00:43:40,013
Speaker 3: say I've you ever looked at the back of a container.

902
00:43:40,053 --> 00:43:43,053
Speaker 3: Oh that's a number two that needs to be absolutely

903
00:43:43,093 --> 00:43:44,772
Speaker 3: scrub clean and put into the yellow bin.

904
00:43:44,813 --> 00:43:47,093
Speaker 2: And what are the stats on this? How much of

905
00:43:47,093 --> 00:43:50,973
Speaker 2: the stuff is actually being recycled and how much of

906
00:43:51,093 --> 00:43:54,133
Speaker 2: is it just being dumped and landfill? And so you've

907
00:43:54,173 --> 00:43:56,773
Speaker 2: got people that yourself torturing, and I don't know if

908
00:43:56,773 --> 00:43:59,053
Speaker 2: you're torturing yourself smuggly feeling like you're better than other

909
00:43:59,053 --> 00:44:00,613
Speaker 2: people by running your rubbish through the.

910
00:44:00,533 --> 00:44:03,213
Speaker 3: Distruyt Absolutely, yeah, yeah, I love that feeling.

911
00:44:03,253 --> 00:44:06,173
Speaker 2: Sud's going down the drain electricity.

912
00:44:06,373 --> 00:44:08,652
Speaker 3: Those tablets are expensive. How many fossil.

913
00:44:08,413 --> 00:44:12,292
Speaker 2: Deals are they pumping out to recycle half a half

914
00:44:12,333 --> 00:44:16,693
Speaker 2: a paper piece of I don't know, that weird brownie

915
00:44:16,813 --> 00:44:20,333
Speaker 2: recycled gray rubbish, recycled writing paper you get.

916
00:44:20,413 --> 00:44:22,373
Speaker 3: It's a real old dishwasher as well, So it certainly

917
00:44:22,413 --> 00:44:24,773
Speaker 3: is an energy efficient but I don't care. You know,

918
00:44:24,813 --> 00:44:26,253
Speaker 3: that was what I got told to do if I

919
00:44:26,293 --> 00:44:28,613
Speaker 3: want to make an effort in recycling. So I did that.

920
00:44:28,893 --> 00:44:31,053
Speaker 3: But I think the wider question for me now at

921
00:44:31,053 --> 00:44:33,333
Speaker 3: this point is have I been had? Is that just

922
00:44:33,373 --> 00:44:35,373
Speaker 3: an absolute waste of time? Was the christ at city

923
00:44:35,413 --> 00:44:38,333
Speaker 3: council idiots for telling me that I needed to do that?

924
00:44:38,773 --> 00:44:45,933
Speaker 2: Yeah? The commentary and this actually worries me the primarily

925
00:44:45,933 --> 00:44:48,573
Speaker 2: so for far and look, well, love talk to you

926
00:44:48,573 --> 00:44:50,453
Speaker 2: on the phone awaye hundred eighteen eighty. But primarily coming

927
00:44:50,493 --> 00:44:53,613
Speaker 2: through on the phone are people supporting you putting your

928
00:44:53,693 --> 00:44:56,652
Speaker 2: rubbish through the dish washer to keep in line with

929
00:44:56,733 --> 00:45:00,212
Speaker 2: recycling rules. My point is, if your recycling rules are

930
00:45:00,213 --> 00:45:05,693
Speaker 2: that harsh, then you are eliminating most people from participating

931
00:45:05,693 --> 00:45:08,173
Speaker 2: in it. You either need to get better recycling or

932
00:45:08,453 --> 00:45:10,093
Speaker 2: you need to just admit you're putting most of it

933
00:45:10,133 --> 00:45:14,013
Speaker 2: in a landfill, because who has time for that?

934
00:45:15,013 --> 00:45:17,053
Speaker 3: If you'll followed the rubbish, we need insiders on this.

935
00:45:17,173 --> 00:45:19,533
Speaker 3: So you're part of the recycling game and you know

936
00:45:19,693 --> 00:45:21,732
Speaker 3: the deal. Give us a buzz oh eight hundred eighty

937
00:45:21,733 --> 00:45:25,853
Speaker 3: ten eighty, and I'm getting some good support on the text. Hey,

938
00:45:25,933 --> 00:45:27,893
Speaker 3: look if you put your rubbish.

939
00:45:27,653 --> 00:45:30,453
Speaker 2: Matters a peg. Just yesterday, Matt, you were saying how

940
00:45:30,493 --> 00:45:33,652
Speaker 2: disgusting was that people that soil toilets and that you're

941
00:45:33,653 --> 00:45:35,733
Speaker 2: doing this, Hang on, that's a totally different thing. I

942
00:45:35,853 --> 00:45:38,013
Speaker 2: can think that it's crazy to expect people to put

943
00:45:38,053 --> 00:45:41,053
Speaker 2: their recycling through the dishwasher before they put it in

944
00:45:41,093 --> 00:45:46,053
Speaker 2: their wheelibin, and also support people not being fecal terrorists

945
00:45:46,053 --> 00:45:48,573
Speaker 2: in public toilets. I think I can hold those two

946
00:45:48,653 --> 00:45:49,732
Speaker 2: beliefs at the same time.

947
00:45:49,813 --> 00:45:52,573
Speaker 3: Give us your thoughts. O eight hundred eighty ten eighty

948
00:45:52,693 --> 00:45:55,453
Speaker 3: nine two ninety two is the text number. Let's get

949
00:45:55,453 --> 00:45:56,733
Speaker 3: into it. It's to Live a bus.

950
00:45:56,533 --> 00:46:02,133
Speaker 1: Too, your new home of Afternoon Talk Matt and Taylor

951
00:46:02,213 --> 00:46:05,973
Speaker 1: Afternoon with the Volvo XC ninety turn every journey into

952
00:46:06,133 --> 00:46:06,933
Speaker 1: something special.

953
00:46:07,013 --> 00:46:11,653
Speaker 8: Call Oh eight hundred and eighty News Talks.

954
00:46:11,613 --> 00:46:14,293
Speaker 3: News Talks the be well Well Well, I thought I

955
00:46:14,333 --> 00:46:18,053
Speaker 3: was going to get an absolute slamming from our audience

956
00:46:18,093 --> 00:46:18,653
Speaker 3: in the Texas.

957
00:46:18,893 --> 00:46:21,613
Speaker 2: It turns out we're a nation of people putting their recycling,

958
00:46:21,773 --> 00:46:23,333
Speaker 2: putting their rubbish through the dishwasher.

959
00:46:23,653 --> 00:46:27,173
Speaker 3: Just to I'm so proud of you, you News Healing,

960
00:46:27,253 --> 00:46:30,652
Speaker 3: Well done, Vicky. I think you're also someone like me

961
00:46:30,733 --> 00:46:34,013
Speaker 3: that you put your picks peanut and peanut butter jars

962
00:46:34,053 --> 00:46:35,333
Speaker 3: through the dishwasher.

963
00:46:35,453 --> 00:46:41,573
Speaker 22: Absolutely, and margarine containers everything else, like like shampoo containers

964
00:46:41,653 --> 00:46:44,173
Speaker 22: that just gets done when I do my hair washing

965
00:46:44,293 --> 00:46:48,853
Speaker 22: and the sink. But but yeah, I live in the country,

966
00:46:48,933 --> 00:46:52,813
Speaker 22: so I don't have my recycling collected every week, so

967
00:46:53,373 --> 00:46:55,373
Speaker 22: I just like too, I've got a whole wallsack of

968
00:46:55,413 --> 00:47:00,293
Speaker 22: plastic and then and then several containers of my glass,

969
00:47:00,293 --> 00:47:02,773
Speaker 22: and the containers and my tin, and the containers of

970
00:47:02,853 --> 00:47:06,133
Speaker 22: my aluminium, and I put them all in the back

971
00:47:06,133 --> 00:47:09,093
Speaker 22: of the vehicle and take them down when you know

972
00:47:09,133 --> 00:47:14,172
Speaker 22: there's about six six great ready to go down there.

973
00:47:14,293 --> 00:47:16,573
Speaker 22: And if I didn't do that, if I didn't wash

974
00:47:16,613 --> 00:47:19,613
Speaker 22: them out, they would stink out the garage. So it's

975
00:47:19,613 --> 00:47:24,252
Speaker 22: all my beer bottles, and.

976
00:47:22,453 --> 00:47:23,212
Speaker 2: I can support that.

977
00:47:23,253 --> 00:47:25,053
Speaker 13: I can support.

978
00:47:25,413 --> 00:47:27,613
Speaker 2: I can support washing them out, and so you don't

979
00:47:27,653 --> 00:47:29,853
Speaker 2: get a lot of flies and wasps and it's stinking out.

980
00:47:29,893 --> 00:47:31,293
Speaker 2: That makes that makes a lot of sense to me.

981
00:47:31,653 --> 00:47:33,213
Speaker 2: But putting it through your dish wash, you don't think

982
00:47:33,253 --> 00:47:34,733
Speaker 2: that's a little bit extreme.

983
00:47:35,093 --> 00:47:38,732
Speaker 22: No, I don't, because the still containers until they're put

984
00:47:38,733 --> 00:47:43,212
Speaker 22: out to be rubbish. So the food containers that you've

985
00:47:43,213 --> 00:47:44,933
Speaker 22: just finished eating out of, so it's not as if

986
00:47:45,933 --> 00:47:50,213
Speaker 22: I don't consider them rubbish at all. So I'm definitely

987
00:47:50,253 --> 00:47:54,133
Speaker 22: with China, and I'm a very very keen recycle they

988
00:47:54,173 --> 00:47:54,413
Speaker 22: have been.

989
00:47:55,333 --> 00:47:58,053
Speaker 2: Do you know much vicky about what happens at the

990
00:47:58,053 --> 00:48:00,613
Speaker 2: other end, how much of your stuff is being recycled

991
00:48:00,613 --> 00:48:03,373
Speaker 2: and how much of it's just being have to into

992
00:48:03,653 --> 00:48:06,813
Speaker 2: landfill after you've done your very virtuous hard work and

993
00:48:06,893 --> 00:48:07,333
Speaker 2: cleaning it.

994
00:48:08,133 --> 00:48:11,893
Speaker 22: Well, well, I do get my rubbish picked up by

995
00:48:11,933 --> 00:48:17,213
Speaker 22: a connection agency like they came around over I managed

996
00:48:17,253 --> 00:48:20,732
Speaker 22: to make it out of two months, so it's yeah,

997
00:48:20,853 --> 00:48:24,893
Speaker 22: it's fulling. And they offer to do a recycling but

998
00:48:25,333 --> 00:48:27,013
Speaker 22: I asked them and they just said that they just

999
00:48:27,053 --> 00:48:30,533
Speaker 22: take them to Kate Valley as well. Say, I definitely

1000
00:48:30,613 --> 00:48:32,853
Speaker 22: take them to a recycling plates and I think they

1001
00:48:33,173 --> 00:48:36,813
Speaker 22: got out five to ten percent of contamination before it

1002
00:48:37,013 --> 00:48:37,973
Speaker 22: ruins are shutload.

1003
00:48:38,533 --> 00:48:40,453
Speaker 12: So but mine are all.

1004
00:48:40,333 --> 00:48:43,213
Speaker 2: Perfectly are you are you? Are you washing them to

1005
00:48:43,253 --> 00:48:46,853
Speaker 2: the point when it's say a peanut butter jar for example,

1006
00:48:46,933 --> 00:48:49,893
Speaker 2: it has the you know, the label off it.

1007
00:48:51,453 --> 00:48:53,493
Speaker 22: Oh no, I don't take the labels off now, yeah.

1008
00:48:53,453 --> 00:48:55,533
Speaker 3: It's about harder. Can they restuck on the pretty well?

1009
00:48:55,573 --> 00:48:58,293
Speaker 2: Can they recycle it with the label on? And if

1010
00:48:58,333 --> 00:49:00,013
Speaker 2: they can recycle with the label on it, why can't

1011
00:49:00,013 --> 00:49:01,613
Speaker 2: they recycle it with a bit of peanut butter on it?

1012
00:49:01,733 --> 00:49:01,973
Speaker 5: Well?

1013
00:49:02,053 --> 00:49:03,573
Speaker 3: I think, well, I think that's a right. Isn't a

1014
00:49:03,653 --> 00:49:06,253
Speaker 3: Viti You're you're in Canabury, aren't you mentioned Kate Valley? Yeah,

1015
00:49:06,293 --> 00:49:07,773
Speaker 3: I think that's a right. With the label which you've

1016
00:49:07,773 --> 00:49:08,933
Speaker 3: just got to get the butter.

1017
00:49:09,293 --> 00:49:10,813
Speaker 2: So they can so they can recycle it. So the

1018
00:49:10,813 --> 00:49:13,613
Speaker 2: peanut butter with the label on it, that's fine. But

1019
00:49:13,653 --> 00:49:15,333
Speaker 2: if it's got peanut butter and they don't have the

1020
00:49:15,373 --> 00:49:17,053
Speaker 2: ability to wash the peanut butter out.

1021
00:49:17,253 --> 00:49:19,252
Speaker 3: Yeah, but that's what we were told, wasn't it, Vicky.

1022
00:49:19,333 --> 00:49:21,172
Speaker 3: That and I didn't know that it was five to

1023
00:49:21,293 --> 00:49:26,013
Speaker 3: ten percent contamination Leeway, but that's still you need ninety

1024
00:49:26,053 --> 00:49:27,933
Speaker 3: percent of people like you and me doing the right thing.

1025
00:49:28,693 --> 00:49:29,093
Speaker 13: That's right.

1026
00:49:29,133 --> 00:49:31,573
Speaker 22: Well, we might convince everybody else to start our way with.

1027
00:49:31,693 --> 00:49:34,413
Speaker 3: China, yet's open. I don't think we'll ever convince Mett.

1028
00:49:34,693 --> 00:49:38,693
Speaker 2: Yeah, I'm I'm seriously disturbed that people are putting their

1029
00:49:38,733 --> 00:49:41,333
Speaker 2: rubbis through the dishwasher, But like, I still respect you

1030
00:49:41,373 --> 00:49:43,413
Speaker 2: as a person, VICKI, not so much, Chiler.

1031
00:49:44,213 --> 00:49:46,293
Speaker 22: There's also people I used to work with somebody who

1032
00:49:46,413 --> 00:49:48,533
Speaker 22: was made on recycling and then he got one of

1033
00:49:48,533 --> 00:49:51,253
Speaker 22: those weally bins and once really bin came in, he

1034
00:49:51,373 --> 00:49:54,133
Speaker 22: just chucked everything in it. So and probably a lot

1035
00:49:54,173 --> 00:49:56,093
Speaker 22: of people don't have the really bins are like that. Y.

1036
00:49:56,653 --> 00:49:57,293
Speaker 3: That is shocking.

1037
00:49:57,773 --> 00:50:00,933
Speaker 2: Yeah, people, Matt, you are very thank you so much

1038
00:50:00,973 --> 00:50:03,373
Speaker 2: for you call VICKI and good on you. Ah better

1039
00:50:03,413 --> 00:50:07,373
Speaker 2: than me? Yeah, good on you, Matt. You were very inconsiderate.

1040
00:50:07,413 --> 00:50:09,812
Speaker 2: Imagine thousands of is all with bits of rotting food,

1041
00:50:09,853 --> 00:50:13,173
Speaker 2: and then wake up. You might be okay with filth,

1042
00:50:13,773 --> 00:50:16,652
Speaker 2: but so many texts coming through that's just disappeared. Down there.

1043
00:50:17,533 --> 00:50:20,253
Speaker 2: Someone's insulting me and it's disappeared. I want to read

1044
00:50:20,253 --> 00:50:23,093
Speaker 2: that the full insult. Wake up. You might be okay

1045
00:50:23,093 --> 00:50:24,973
Speaker 2: with filth, but spare a thought for those working in

1046
00:50:25,013 --> 00:50:26,973
Speaker 2: the industry. All good for you, tucked up in your

1047
00:50:27,053 --> 00:50:29,613
Speaker 2: studio sipping latte out of a storrofoam cup.

1048
00:50:29,693 --> 00:50:31,693
Speaker 3: Well, he's got you pegged, didn't he? What is that

1049
00:50:31,893 --> 00:50:32,732
Speaker 3: a styrofoam cut?

1050
00:50:32,853 --> 00:50:35,013
Speaker 2: I know it's right, mate, I'm real, I am. I'm

1051
00:50:35,053 --> 00:50:39,013
Speaker 2: pretty virtuous, Thank you very much, Paul. I'm drinking water

1052
00:50:39,133 --> 00:50:44,053
Speaker 2: out of a reusable water promotional water bottle.

1053
00:50:44,093 --> 00:50:46,333
Speaker 3: You read that ticks ahead of time and water bottle.

1054
00:50:47,733 --> 00:50:49,253
Speaker 3: Keep those teas coming through on nine to two.

1055
00:50:49,333 --> 00:50:51,533
Speaker 2: Now, I'm not always tucked up in my studio, actually,

1056
00:50:51,573 --> 00:50:53,213
Speaker 2: Paul off, and I'm out in the real world just

1057
00:50:53,333 --> 00:50:54,493
Speaker 2: halfing rubbish.

1058
00:50:54,093 --> 00:50:57,213
Speaker 3: Around into the red bin. I might edge into the

1059
00:50:57,253 --> 00:50:57,573
Speaker 3: red men.

1060
00:50:57,733 --> 00:50:57,893
Speaker 13: Yep.

1061
00:50:58,053 --> 00:50:59,133
Speaker 3: Oh wait, one hundred and eight.

1062
00:50:59,253 --> 00:51:01,573
Speaker 2: I mean, this is what I believe, and someone proved

1063
00:51:01,573 --> 00:51:03,933
Speaker 2: me wrong. Okay, is this and maybe we could talk.

1064
00:51:04,053 --> 00:51:05,933
Speaker 2: You know, who knows what they say. They've lied to

1065
00:51:06,013 --> 00:51:08,533
Speaker 2: us before. And I know what happened down in Queen's.

1066
00:51:08,573 --> 00:51:09,893
Speaker 3: You're talking about the recycling mafia.

1067
00:51:10,013 --> 00:51:14,173
Speaker 2: Yeah, the recycling people. You know down in Queenstown, there

1068
00:51:14,213 --> 00:51:16,933
Speaker 2: was there was It was just revealed they'd been haffing

1069
00:51:17,013 --> 00:51:20,533
Speaker 2: it all into the into the into the landfill, no

1070
00:51:20,533 --> 00:51:24,453
Speaker 2: matter how carefully people put their their peanut butter jars

1071
00:51:24,493 --> 00:51:25,493
Speaker 2: through the dishwasher.

1072
00:51:25,573 --> 00:51:26,333
Speaker 3: And how long did that?

1073
00:51:26,613 --> 00:51:28,813
Speaker 2: You know the Walkland's recycling goes to land for a

1074
00:51:28,853 --> 00:51:30,813
Speaker 2: waste of time washing it says this textre just.

1075
00:51:30,813 --> 00:51:33,013
Speaker 3: The Queenstown How long did they keep up that charat?

1076
00:51:33,093 --> 00:51:34,893
Speaker 3: Because that is not on if they've asked the good

1077
00:51:34,933 --> 00:51:37,813
Speaker 3: people of Queenstown to recycle and then all along it

1078
00:51:37,933 --> 00:51:39,413
Speaker 3: just went into a massive hole in the ground.

1079
00:51:39,693 --> 00:51:41,453
Speaker 2: I don't know, Tyler. I just read the headline in

1080
00:51:41,493 --> 00:51:43,893
Speaker 2: the Mountain View all of the newspapers down there.

1081
00:51:43,893 --> 00:51:46,413
Speaker 3: Shame on you, Queenstown. Oh, eight hundred eighty ten eighty

1082
00:51:46,493 --> 00:51:49,053
Speaker 3: is the number to call? Do you take recycling as

1083
00:51:49,093 --> 00:51:51,813
Speaker 3: seriously as me? And Vicki, and turns out many other

1084
00:51:51,853 --> 00:51:54,533
Speaker 3: New Zealanders. Nine two ninety two is the text number.

1085
00:51:54,573 --> 00:51:55,453
Speaker 3: It's twenty past two.

1086
00:52:00,253 --> 00:52:03,933
Speaker 1: Matt Heathen Tyler Adams afternoons call oh eight hundred eighty

1087
00:52:04,013 --> 00:52:05,893
Speaker 1: ten eighty on news Talk z'b.

1088
00:52:06,053 --> 00:52:09,172
Speaker 3: Twenty two past two. We've asked the queish do you

1089
00:52:09,493 --> 00:52:12,293
Speaker 3: wash your rubbish as part of your recycling effort? You

1090
00:52:12,373 --> 00:52:16,573
Speaker 3: thought I was mad. It turns out, Matt, that what

1091
00:52:16,773 --> 00:52:18,573
Speaker 3: ninety percent of the text has come in and saying yeah,

1092
00:52:18,573 --> 00:52:20,413
Speaker 3: absolutely they watched that rubbish.

1093
00:52:20,133 --> 00:52:23,093
Speaker 2: Doesn't mean that they're not mad people putting their rubbish

1094
00:52:23,093 --> 00:52:27,453
Speaker 2: through the diskwasher. I am shocked and a pall And

1095
00:52:27,493 --> 00:52:30,053
Speaker 2: does that make me a bad person because I would

1096
00:52:30,093 --> 00:52:32,813
Speaker 2: never do that. I would never do that and a

1097
00:52:32,933 --> 00:52:36,333
Speaker 2: million years put if it's gone.

1098
00:52:36,693 --> 00:52:39,213
Speaker 3: Well, you're a logical guy, and I get the point that.

1099
00:52:39,373 --> 00:52:41,813
Speaker 3: And I've never thought about the equation of the amount

1100
00:52:41,813 --> 00:52:44,453
Speaker 3: of water I use and the SuDS that go into

1101
00:52:44,493 --> 00:52:47,933
Speaker 3: it and whether that offsets if what I recycle actually

1102
00:52:47,933 --> 00:52:50,933
Speaker 3: does get recycled, Does that offset my use of a dishwasher?

1103
00:52:51,293 --> 00:52:52,293
Speaker 3: But I feel good.

1104
00:52:52,173 --> 00:52:56,333
Speaker 2: Doing you the SuDS going down the drain. This person here, Dan,

1105
00:52:56,413 --> 00:52:59,693
Speaker 2: I appreciate Dan rea dirty peanut butter jar, slice the

1106
00:52:59,733 --> 00:53:02,453
Speaker 2: cucumber into it, but of vinegar, mayo chili, and shake

1107
00:53:02,493 --> 00:53:05,333
Speaker 2: the crap out of it. Delicious. There you go, He's

1108
00:53:05,333 --> 00:53:08,133
Speaker 2: gonna got the technique. Well done, so Anna, that's right.

1109
00:53:08,173 --> 00:53:10,453
Speaker 2: So you put what does it? Put some vinegar mayo

1110
00:53:10,573 --> 00:53:12,373
Speaker 2: chili and shake it up. And the extra peanut butter

1111
00:53:12,453 --> 00:53:14,893
Speaker 2: that's around the room with the you know that's left

1112
00:53:14,893 --> 00:53:17,133
Speaker 2: in the jar. You get a delicious snack. Now, No,

1113
00:53:17,173 --> 00:53:17,893
Speaker 2: I appreciate that.

1114
00:53:18,013 --> 00:53:20,133
Speaker 3: Yeah, well done. That is true.

1115
00:53:20,173 --> 00:53:21,373
Speaker 2: Recycling is not crazy.

1116
00:53:23,893 --> 00:53:25,373
Speaker 3: Another to call get a Chris.

1117
00:53:26,493 --> 00:53:30,933
Speaker 10: Hello, how are you very good? First of all, I'm

1118
00:53:30,933 --> 00:53:35,212
Speaker 10: with Tyler. I don't have a dishwasher, but I have.

1119
00:53:36,253 --> 00:53:39,413
Speaker 10: I'm a long time I'm seventy two. I'm a long

1120
00:53:39,493 --> 00:53:44,652
Speaker 10: time passionate recycler. Yes, I wash all my recycling. So

1121
00:53:44,813 --> 00:53:47,813
Speaker 10: I just washed my dishes, and I wash my recycling

1122
00:53:48,493 --> 00:53:52,413
Speaker 10: containers in the scent and they go out clean into

1123
00:53:52,453 --> 00:53:56,893
Speaker 10: the recycling. I will say that my recycling then is

1124
00:53:56,973 --> 00:54:02,013
Speaker 10: shared by another unit, and I spend a lot of

1125
00:54:02,053 --> 00:54:05,893
Speaker 10: time going through the recycling then chucking out all the

1126
00:54:05,933 --> 00:54:09,253
Speaker 10: rubbish that they chuck into the recycling and putting it

1127
00:54:09,253 --> 00:54:12,333
Speaker 10: in the red thin because I kind of think, what's

1128
00:54:12,373 --> 00:54:15,853
Speaker 10: the point. The other point that I would like to

1129
00:54:15,973 --> 00:54:22,692
Speaker 10: raise is that recycling isn't necessarily the biggest priority. Reusing

1130
00:54:22,853 --> 00:54:27,173
Speaker 10: is so if I buy a punt of homits, I

1131
00:54:27,333 --> 00:54:31,533
Speaker 10: will use it, wash it out, and then I keep

1132
00:54:31,573 --> 00:54:36,173
Speaker 10: that container and I might use it for storing whatever

1133
00:54:36,493 --> 00:54:37,533
Speaker 10: I need to store in it.

1134
00:54:37,773 --> 00:54:40,692
Speaker 2: Yeah, I respect that. If I respect that, Chris, I

1135
00:54:40,733 --> 00:54:43,413
Speaker 2: always think about that. With a good a perfectly good

1136
00:54:43,493 --> 00:54:46,893
Speaker 2: jar with the lead that you can still turn, you know,

1137
00:54:46,933 --> 00:54:51,293
Speaker 2: you can still use multiple times. I feel terrible throwing

1138
00:54:51,293 --> 00:54:53,773
Speaker 2: out one of those jars.

1139
00:54:53,053 --> 00:54:53,973
Speaker 12: Your glass jars.

1140
00:54:54,053 --> 00:54:57,693
Speaker 10: You throw out your glass jars. We've got multiple users,

1141
00:54:57,893 --> 00:55:02,213
Speaker 10: and I just think that we're also focused on recycling.

1142
00:55:02,973 --> 00:55:08,292
Speaker 10: I think the emphasis should be on reusing. And that's

1143
00:55:08,333 --> 00:55:11,053
Speaker 10: wh I am. But yeah, my recycling goes out clean,

1144
00:55:11,213 --> 00:55:16,973
Speaker 10: and I thought my neighbor's recycling rubbish, which my children

1145
00:55:17,093 --> 00:55:18,053
Speaker 10: think is horrific.

1146
00:55:19,013 --> 00:55:20,693
Speaker 2: I'm a little bit worried about you going through the

1147
00:55:20,693 --> 00:55:24,453
Speaker 2: bins as well there. But what I support the I

1148
00:55:24,453 --> 00:55:27,133
Speaker 2: do support the character of your convision, the courage. You know,

1149
00:55:27,173 --> 00:55:29,293
Speaker 2: your convictions are strong on that. Well, thank you so

1150
00:55:29,333 --> 00:55:31,453
Speaker 2: much for your call, Chris, appreciate that.

1151
00:55:31,733 --> 00:55:34,253
Speaker 3: I mean she's going above and beyond. Thank you, Chris.

1152
00:55:35,093 --> 00:55:40,133
Speaker 2: Okay, afternoon, Okay, and look, I support different types of recycling.

1153
00:55:40,253 --> 00:55:42,373
Speaker 2: I'm with Chris on that. I reckon that if it's

1154
00:55:42,413 --> 00:55:44,853
Speaker 2: a jar that can be used again, then buddy, use

1155
00:55:44,853 --> 00:55:46,893
Speaker 2: it again. I mean, pretty soon in our modern age,

1156
00:55:46,893 --> 00:55:49,493
Speaker 2: you'll be your entire kitchen will be full of jars.

1157
00:55:49,613 --> 00:55:51,613
Speaker 2: You can try to desperately find something to put in

1158
00:55:51,613 --> 00:55:54,013
Speaker 2: because there's so many jars coming through the system. But

1159
00:55:54,093 --> 00:55:56,973
Speaker 2: I've talked about this on the show before. Cobbling cobbling

1160
00:55:57,053 --> 00:55:59,973
Speaker 2: your shoes fixed. Yes, that's the that's where you can

1161
00:56:00,013 --> 00:56:03,653
Speaker 2: actually do recycling, rather than the council pretending that they're

1162
00:56:03,653 --> 00:56:06,093
Speaker 2: doing recycling and just having it in the landfill. If

1163
00:56:06,133 --> 00:56:07,893
Speaker 2: you've got a pair of shoes, get them fixed before

1164
00:56:07,893 --> 00:56:11,772
Speaker 2: you throw them out. Now, that's real, honest recycling right there.

1165
00:56:12,093 --> 00:56:17,293
Speaker 3: Well, this is good because those pecks, peanut, peanut butter, jars, cans.

1166
00:56:17,373 --> 00:56:19,053
Speaker 2: You're really focused on pecks. That's great.

1167
00:56:19,053 --> 00:56:20,733
Speaker 3: Peanut butter we go through, we go through a jar

1168
00:56:20,813 --> 00:56:21,133
Speaker 3: a week.

1169
00:56:21,253 --> 00:56:25,773
Speaker 2: That is bougie peanut butter cert I'm on good, honest

1170
00:56:26,693 --> 00:56:28,213
Speaker 2: budget peanut butter sanitarium.

1171
00:56:28,333 --> 00:56:31,853
Speaker 3: I don't, but would you prefer that I took those jars.

1172
00:56:31,893 --> 00:56:36,093
Speaker 3: We probably keep half of them and then recycle the

1173
00:56:36,173 --> 00:56:38,333
Speaker 3: other other landfill. Do you think I should be taking

1174
00:56:38,333 --> 00:56:39,973
Speaker 3: those down to Saint John. That would be a bit

1175
00:56:40,053 --> 00:56:42,893
Speaker 3: of use because somebody is arguably going to use those

1176
00:56:43,013 --> 00:56:46,133
Speaker 3: jars genuinely rather than a high possibility it's going.

1177
00:56:45,973 --> 00:56:48,093
Speaker 2: To end up a whole Saint John doesn't want them,

1178
00:56:48,573 --> 00:56:50,213
Speaker 2: one of the one of the charity shops want them.

1179
00:56:50,453 --> 00:56:52,613
Speaker 2: The charity shops don't want your rubbish.

1180
00:56:52,933 --> 00:56:55,652
Speaker 3: You don't need to clean jars sparkling clean that have

1181
00:56:55,693 --> 00:56:56,733
Speaker 3: been through the dishwasher.

1182
00:56:56,773 --> 00:56:59,213
Speaker 2: These are good jobs, John, do not want a pile

1183
00:56:59,453 --> 00:57:01,053
Speaker 2: of your old peanut butter jars.

1184
00:57:01,053 --> 00:57:02,613
Speaker 3: I'm going to ring up Saint John and find out

1185
00:57:02,653 --> 00:57:03,493
Speaker 3: if they want jazz.

1186
00:57:03,853 --> 00:57:05,853
Speaker 2: But okay, here we go, Here we go, We've got

1187
00:57:05,853 --> 00:57:07,732
Speaker 2: bin here. We got time to go to the phone

1188
00:57:07,773 --> 00:57:08,213
Speaker 2: or we need to go.

1189
00:57:08,213 --> 00:57:09,373
Speaker 3: To so Naratina's got to bend.

1190
00:57:09,413 --> 00:57:12,173
Speaker 2: Yeah, Ben here, you work in the plastics industry and recycling.

1191
00:57:12,173 --> 00:57:15,933
Speaker 2: Am I right about what percentage of stuff is getting recycled?

1192
00:57:16,733 --> 00:57:21,013
Speaker 15: So I worked there up until ten years ago, So

1193
00:57:21,893 --> 00:57:25,453
Speaker 15: back then it was about sixty five percent of stuff

1194
00:57:25,613 --> 00:57:27,973
Speaker 15: was recycled. And the reason why you get about twenty

1195
00:57:28,013 --> 00:57:32,173
Speaker 15: to twenty five percent contaminate. And then the rest you

1196
00:57:32,173 --> 00:57:34,733
Speaker 15: can only take so much tannage per day to go

1197
00:57:34,853 --> 00:57:37,533
Speaker 15: through the processing plant, and so if you're already over

1198
00:57:37,613 --> 00:57:41,933
Speaker 15: your tonnage, the risk gets dumped and landfill. So yeah,

1199
00:57:42,013 --> 00:57:46,053
Speaker 15: and then one other thing is a lot of the

1200
00:57:46,053 --> 00:57:50,453
Speaker 15: plastic here in New Zealand gets processed at the processing plant.

1201
00:57:50,933 --> 00:57:53,413
Speaker 15: It might go through a wash, depending on how dirty

1202
00:57:53,453 --> 00:57:56,213
Speaker 15: it is. It gets contained, uploaded on a ship and

1203
00:57:56,293 --> 00:58:00,453
Speaker 15: sent over seas, which goes to another processing plant, another wash.

1204
00:58:00,853 --> 00:58:04,293
Speaker 15: Then it gets broken down with chemicals and then made

1205
00:58:04,333 --> 00:58:10,413
Speaker 15: into drink bottles, plastic camps, post whatever. Now the manufacturer's

1206
00:58:10,453 --> 00:58:14,573
Speaker 15: normally came seventy They are using seventy percent of the

1207
00:58:14,653 --> 00:58:19,813
Speaker 15: pollution to process recycled drink bottle. But that's off the

1208
00:58:19,853 --> 00:58:24,013
Speaker 15: plastic source locally in say China. If the plastics coming

1209
00:58:24,053 --> 00:58:27,693
Speaker 15: from New Zealand, you've got the pollution of you know,

1210
00:58:27,853 --> 00:58:31,173
Speaker 15: an extra truck that the diesel, the diesel on thet

1211
00:58:31,573 --> 00:58:34,733
Speaker 15: going through multiple processing plants before it gets there, and

1212
00:58:34,853 --> 00:58:37,053
Speaker 15: it's actually using one hundred and twelve percent of the

1213
00:58:37,093 --> 00:58:39,893
Speaker 15: pollution that it uses to make a new drink bottle,

1214
00:58:39,933 --> 00:58:43,453
Speaker 15: So you recycling is actually contributing to the planet's demise.

1215
00:58:44,213 --> 00:58:48,613
Speaker 2: Yeah, Tyler, Well, I'm actually better than you. But when

1216
00:58:48,613 --> 00:58:50,613
Speaker 2: you say so, sixty five percent so of what was

1217
00:58:50,653 --> 00:58:54,213
Speaker 2: coming through and this isn't until whatever amount can go

1218
00:58:54,253 --> 00:58:56,453
Speaker 2: through the processing plant in a day or whatever. So

1219
00:58:56,493 --> 00:58:58,293
Speaker 2: sixty five percent seems pretty good. I mean, this is

1220
00:58:58,293 --> 00:59:00,133
Speaker 2: ten years ago. It might have changed, but so sixty

1221
00:59:00,173 --> 00:59:02,613
Speaker 2: five percent of what comes through out of the wheelibins

1222
00:59:03,213 --> 00:59:06,293
Speaker 2: end to the track and gets on the convey about whatever.

1223
00:59:06,373 --> 00:59:07,893
Speaker 2: Sixty five percent of that you could use.

1224
00:59:09,013 --> 00:59:11,573
Speaker 15: Yeah, yeah, And the biggest problem back then was dirty

1225
00:59:11,613 --> 00:59:16,733
Speaker 15: disposable nappies. And if you get dirty disposable nappies in

1226
00:59:16,773 --> 00:59:18,573
Speaker 15: the truck, if you get so many, the whole truck

1227
00:59:18,613 --> 00:59:20,733
Speaker 15: has to be dumped. But that was the biggest I

1228
00:59:21,013 --> 00:59:23,853
Speaker 15: couldn't see why people can't just dump them and you know,

1229
00:59:24,173 --> 00:59:25,293
Speaker 15: in the actual rubbish bin.

1230
00:59:25,773 --> 00:59:29,093
Speaker 2: Like I mean, I may hassle Tyler for dishwashings as

1231
00:59:29,293 --> 00:59:32,533
Speaker 2: a rubbish, but I'm more judgmental of someone that puts

1232
00:59:32,533 --> 00:59:34,933
Speaker 2: a dirty nappy in the recycling.

1233
00:59:34,893 --> 00:59:39,213
Speaker 3: Feral behavior, isn't it who does that? That's not so being.

1234
00:59:39,293 --> 00:59:42,653
Speaker 3: Going back to the people that wash their rubbish like

1235
00:59:42,733 --> 00:59:45,373
Speaker 3: me and the dishwashers sometimes. Do you think I'm generally

1236
00:59:45,373 --> 00:59:48,853
Speaker 3: going too far? Is that not of any use to

1237
00:59:48,853 --> 00:59:50,653
Speaker 3: to recycling in New Zealand?

1238
00:59:51,933 --> 00:59:53,653
Speaker 15: It would definitely help to a point. But you've got

1239
00:59:53,693 --> 00:59:56,693
Speaker 15: to pull in the context that if someone's dumped the

1240
00:59:56,733 --> 00:59:59,093
Speaker 15: milk bottle that's got half you know, that's half full

1241
00:59:59,093 --> 01:00:01,733
Speaker 15: of milk, it's going in the truck, it's getting compacted.

1242
01:00:02,413 --> 01:00:04,333
Speaker 15: Then it's going to go through everything in the truck.

1243
01:00:05,213 --> 01:00:09,413
Speaker 15: So you're washing your don't or whatever. It's not going

1244
01:00:09,453 --> 01:00:10,613
Speaker 15: to make an absolute difference.

1245
01:00:11,293 --> 01:00:13,533
Speaker 2: Hey, I've been and like you say, you've been out

1246
01:00:13,573 --> 01:00:15,093
Speaker 2: of the business for ten years, but I don't I

1247
01:00:15,093 --> 01:00:18,813
Speaker 2: menagine it's changed that much in that time. What's what's

1248
01:00:18,893 --> 01:00:23,533
Speaker 2: fueling all the recycling equipment? What's fueling that.

1249
01:00:25,253 --> 01:00:25,933
Speaker 9: So power?

1250
01:00:26,133 --> 01:00:26,693
Speaker 14: Guess?

1251
01:00:26,813 --> 01:00:30,533
Speaker 15: Yeah, you know, Okay, if you're getting your power from

1252
01:00:30,573 --> 01:00:33,213
Speaker 15: my cold burning plant, it's not the best that's contributing.

1253
01:00:34,053 --> 01:00:36,733
Speaker 15: If you're getting it from lakes or salt panels or whatever.

1254
01:00:36,933 --> 01:00:37,093
Speaker 10: You know.

1255
01:00:37,253 --> 01:00:40,293
Speaker 15: Okay, you can argue the cabin footprints coming down, but

1256
01:00:40,493 --> 01:00:42,093
Speaker 15: the biggest thing is if you've got to ship your

1257
01:00:42,093 --> 01:00:45,853
Speaker 15: plastic halfway around the world to have it process process,

1258
01:00:46,293 --> 01:00:51,133
Speaker 15: then it's not worth it because it's it's better off

1259
01:00:51,133 --> 01:00:54,693
Speaker 15: to just make new stuff rather than recycling. So in

1260
01:00:54,733 --> 01:00:58,413
Speaker 15: a way, recycling is the biggest head around. Okay, there

1261
01:00:58,493 --> 01:01:00,533
Speaker 15: is companies in New Zealand that will make plastic fence

1262
01:01:00,573 --> 01:01:03,893
Speaker 15: posts and stuff like that. You know, good on them.

1263
01:01:03,973 --> 01:01:07,093
Speaker 15: But yeah, to me, I think you've been off to

1264
01:01:07,173 --> 01:01:10,613
Speaker 15: dump the plastic can land because you're going to use less,

1265
01:01:10,733 --> 01:01:13,293
Speaker 15: you know, contribute less to the planets, tomis than what

1266
01:01:13,333 --> 01:01:14,693
Speaker 15: you are seeing overseas well.

1267
01:01:14,733 --> 01:01:18,693
Speaker 2: Thanks so much for your call, Ben, appreciate that. I mean, also,

1268
01:01:18,893 --> 01:01:21,733
Speaker 2: just use this stuff as instead of being all virtuous

1269
01:01:21,893 --> 01:01:24,933
Speaker 2: with your recycling, just use this stuff Tyler. Yeah, like

1270
01:01:25,213 --> 01:01:28,973
Speaker 2: why you've got you buying so many things and different containers.

1271
01:01:29,013 --> 01:01:31,133
Speaker 3: Have you tried? Picks me up? But her, it's real

1272
01:01:31,173 --> 01:01:33,533
Speaker 3: good man. Once you have that, you'll never go back. Oh,

1273
01:01:33,573 --> 01:01:35,613
Speaker 3: one hundred and eighty ten eighty is another to call

1274
01:01:36,013 --> 01:01:39,853
Speaker 3: it is twenty eight to three.

1275
01:01:41,213 --> 01:01:44,933
Speaker 18: You talk be headlines with blue bubble tax. See it's

1276
01:01:44,973 --> 01:01:46,573
Speaker 18: no trouble with the blue bubble.

1277
01:01:47,053 --> 01:01:47,333
Speaker 8: Health.

1278
01:01:47,373 --> 01:01:51,413
Speaker 18: New Zealand's consultants bill rose twenty percent annually by last

1279
01:01:51,493 --> 01:01:55,013
Speaker 18: June to one hundred and twenty million dollars. That's despite

1280
01:01:55,053 --> 01:01:58,893
Speaker 18: government promises to slash the contract to spend. A combined

1281
01:01:58,933 --> 01:02:01,893
Speaker 18: eighty point four million dollars was spent on Deloitte, p

1282
01:02:02,173 --> 01:02:07,333
Speaker 18: w c, Ernst and Young and KPMG. Labour's leader says

1283
01:02:07,333 --> 01:02:10,893
Speaker 18: his parties against selling any state assets after the Prime

1284
01:02:10,933 --> 01:02:14,733
Speaker 18: Minister's said national may campaign on sales before the next election.

1285
01:02:15,773 --> 01:02:19,773
Speaker 18: Stats and Z Data says seasonally adjusted numbers of filled

1286
01:02:20,013 --> 01:02:24,493
Speaker 18: jobs rose zero point one percent in December compared to

1287
01:02:24,493 --> 01:02:28,133
Speaker 18: the month before, to two point three six million. A

1288
01:02:28,213 --> 01:02:30,853
Speaker 18: twenty three year old man arrested in Manuee were last

1289
01:02:30,893 --> 01:02:34,373
Speaker 18: week in connection to a shooting outside Auckland's Middlemoor Hospital

1290
01:02:34,493 --> 01:02:38,173
Speaker 18: this month. Is the second man charged is reappearing in

1291
01:02:38,213 --> 01:02:43,133
Speaker 18: Monuco District Court today. Charity Kids Can says its oblique

1292
01:02:43,133 --> 01:02:46,373
Speaker 18: situation for some families heading into the school year with

1293
01:02:46,453 --> 01:02:49,453
Speaker 18: a large waitlist for its help with uniforms and food.

1294
01:02:50,613 --> 01:02:53,573
Speaker 18: Why is there suddenly a lot of talk about privatizing

1295
01:02:53,613 --> 01:02:57,413
Speaker 18: state assets. You can see Thomas Cotlin's full analysis at

1296
01:02:57,493 --> 01:03:00,893
Speaker 18: ends at Herald Premium. Back now to Matt Eathan Tyler Adams.

1297
01:03:00,893 --> 01:03:03,813
Speaker 3: Thank you very much, Raylean. It is twenty five to

1298
01:03:03,853 --> 01:03:06,533
Speaker 3: three and we're talking about recycling in New Zealand's it

1299
01:03:06,773 --> 01:03:09,693
Speaker 3: was with the rules with standard eyes February last year

1300
01:03:09,733 --> 01:03:12,253
Speaker 3: between the councils. That was a massive bone of contention.

1301
01:03:12,533 --> 01:03:17,013
Speaker 3: But I am quite fastidious with how I cleaned my rubbish. Matt,

1302
01:03:17,133 --> 01:03:18,973
Speaker 3: you thought I was a lunatic and a bit of

1303
01:03:19,013 --> 01:03:20,013
Speaker 3: a loser for doing that.

1304
01:03:20,133 --> 01:03:23,973
Speaker 2: But I on the record, if my partner started putting

1305
01:03:24,093 --> 01:03:29,293
Speaker 2: the recycling through the dishwasher, I would that would be it.

1306
01:03:29,333 --> 01:03:32,013
Speaker 2: That would be marching orders. And this texture I think

1307
01:03:32,173 --> 01:03:34,413
Speaker 2: agrees with me. Oh good grief. This is the most

1308
01:03:34,413 --> 01:03:36,773
Speaker 2: contentious issue in my house. My husband is a fanatic,

1309
01:03:36,933 --> 01:03:40,093
Speaker 2: borderline obsessed. It literally drives me crazy. But now he's

1310
01:03:40,613 --> 01:03:43,533
Speaker 2: resorted to resorted to cleaning the glad wrap I use

1311
01:03:43,573 --> 01:03:46,053
Speaker 2: in the dish washer. Some of the labels come off

1312
01:03:46,093 --> 01:03:49,133
Speaker 2: and the dishwasher and clog it up. He's an orthopedic surgeon,

1313
01:03:49,253 --> 01:03:53,773
Speaker 2: semi retired, and this problem he has needs therapy almost regards.

1314
01:03:53,813 --> 01:03:56,093
Speaker 2: That's from k So we might be able to work

1315
01:03:56,133 --> 01:03:58,613
Speaker 2: that out. Who that is, you know, an orthopedic surgeon

1316
01:03:58,653 --> 01:03:59,973
Speaker 2: married to Okay, but.

1317
01:04:01,613 --> 01:04:03,013
Speaker 3: Yeah, I mean I can see how an.

1318
01:04:03,013 --> 01:04:05,973
Speaker 2: Orthopedic surgeon would get obsessed with cleaning things, because you'd

1319
01:04:05,973 --> 01:04:09,373
Speaker 2: have a career of very very important that all your

1320
01:04:09,413 --> 01:04:12,253
Speaker 2: all your stuff was nice and clean. But putting would

1321
01:04:12,253 --> 01:04:13,493
Speaker 2: you put glad rap through the.

1322
01:04:14,293 --> 01:04:17,293
Speaker 3: That's where I draw the line. I'd certainly would wash

1323
01:04:17,373 --> 01:04:19,093
Speaker 3: the glad rap, although I'd take my head off to

1324
01:04:19,133 --> 01:04:19,733
Speaker 3: you for doing that.

1325
01:04:19,813 --> 01:04:22,373
Speaker 2: That six it says, I think you are correct. Matt.

1326
01:04:22,373 --> 01:04:25,413
Speaker 2: My partner attended a council run recycling seminar. They all

1327
01:04:25,453 --> 01:04:28,253
Speaker 2: came away thinking most recycling is contaminated or not cost

1328
01:04:28,253 --> 01:04:30,373
Speaker 2: effective and ends up in landfill. Waste of time.

1329
01:04:30,733 --> 01:04:33,813
Speaker 3: Very good. Let's go to the phones and Johnny, how

1330
01:04:33,813 --> 01:04:34,733
Speaker 3: are you this afternoon?

1331
01:04:35,853 --> 01:04:39,413
Speaker 13: Oh not too bad mate, Yeah, look, I've well been

1332
01:04:39,453 --> 01:04:42,733
Speaker 13: sitting here listening. Well, I had a look on that

1333
01:04:43,293 --> 01:04:49,053
Speaker 13: AI machine and I looked up our new chilland recycling and.

1334
01:04:50,453 --> 01:04:54,213
Speaker 23: About the dishes and tied it all together. Yeah, but

1335
01:04:54,333 --> 01:05:01,413
Speaker 23: the typical chat GPT. Yeah, percentage of unrecyclable waste from

1336
01:05:01,413 --> 01:05:03,653
Speaker 23: the stream and news yelling that's placed in landfill was

1337
01:05:03,653 --> 01:05:08,213
Speaker 23: my question and it got back. Seventeen percent of items

1338
01:05:08,373 --> 01:05:13,693
Speaker 23: recycling facilities are diverted to landfills because of contamination. The

1339
01:05:13,813 --> 01:05:18,133
Speaker 23: contamination rates area across the country, but also by far

1340
01:05:18,213 --> 01:05:27,533
Speaker 23: the worst twenty as their number seventy percent the medium median, so.

1341
01:05:27,453 --> 01:05:31,093
Speaker 13: A lot of central amount of recycleds been sent to landfills.

1342
01:05:31,773 --> 01:05:35,893
Speaker 13: The next question was like, how much is it going

1343
01:05:35,933 --> 01:05:40,133
Speaker 13: to cost us doing it through people with doschwatters. I

1344
01:05:40,133 --> 01:05:41,253
Speaker 13: still wash mine of the sink.

1345
01:05:41,253 --> 01:05:46,933
Speaker 24: I don't have a doshwasher on the doshwasher, So yeah, look,

1346
01:05:48,213 --> 01:05:51,973
Speaker 24: it works out that it's about five percent extra.

1347
01:05:53,373 --> 01:05:57,133
Speaker 13: Of water use under one hundred dollars New Zealand annually

1348
01:05:57,293 --> 01:06:03,053
Speaker 13: for energy. And if you're using a cold water rots,

1349
01:06:03,133 --> 01:06:06,813
Speaker 13: you don't have to have a pump to contribute to

1350
01:06:06,813 --> 01:06:11,573
Speaker 13: that bell saying one liter of water from fifteen degrees

1351
01:06:11,653 --> 01:06:15,853
Speaker 13: fifty five degrees users went five killer watts and it

1352
01:06:15,853 --> 01:06:19,453
Speaker 13: costs you one to two liters of water, depending on

1353
01:06:19,533 --> 01:06:22,573
Speaker 13: how sordid is. They're saying fifty one hundred liters of

1354
01:06:22,613 --> 01:06:27,573
Speaker 13: water weekly for a household recycling, and but fifty plastic

1355
01:06:27,613 --> 01:06:31,973
Speaker 13: items a week, and I thought fifty. There's like five

1356
01:06:32,013 --> 01:06:36,133
Speaker 13: of us here, right, and we're going fifty and we

1357
01:06:36,173 --> 01:06:39,053
Speaker 13: don't buy organic extensive stuff wrecked in paper because it's

1358
01:06:39,173 --> 01:06:44,133
Speaker 13: you know, water. Well, I remember getting that stuff from

1359
01:06:44,173 --> 01:06:47,093
Speaker 13: paper bags and not having pay for them and watching

1360
01:06:47,173 --> 01:06:50,693
Speaker 13: stuff being wrapped in paper, and you know, we explored

1361
01:06:50,733 --> 01:06:54,133
Speaker 13: a lot of paper in our recycling. But yeah, I

1362
01:06:54,253 --> 01:06:57,853
Speaker 13: just said, it's it's a marginal loss, but it's it's

1363
01:06:57,853 --> 01:07:00,173
Speaker 13: the principle. I mean, when my mom went like this,

1364
01:07:00,333 --> 01:07:02,813
Speaker 13: she started off watching jars and saving them for screws

1365
01:07:02,813 --> 01:07:05,413
Speaker 13: and you know, things like that. And when we went

1366
01:07:05,453 --> 01:07:07,853
Speaker 13: through your stuff she got dementia. We found it was

1367
01:07:07,973 --> 01:07:10,973
Speaker 13: just recycling and the whole Garrett was full to the

1368
01:07:10,973 --> 01:07:16,333
Speaker 13: floor of a nightmare of everything being was and scrubbed

1369
01:07:16,413 --> 01:07:17,773
Speaker 13: until it was surgically clean.

1370
01:07:19,653 --> 01:07:22,853
Speaker 3: Well, you've certainly run the numbers, Johnny, and it sounded

1371
01:07:22,893 --> 01:07:25,813
Speaker 3: like you're, well, you're kind of doing what I'm doing.

1372
01:07:25,813 --> 01:07:28,173
Speaker 3: You're the diswasher in your house. Thank you very much. Good.

1373
01:07:28,493 --> 01:07:31,013
Speaker 2: I would remind people though, when you do. You know,

1374
01:07:31,053 --> 01:07:34,773
Speaker 2: ai AS has very capable of what they call mirages,

1375
01:07:35,293 --> 01:07:37,973
Speaker 2: where it grabs money, it doesn't know what's true and

1376
01:07:38,013 --> 01:07:39,333
Speaker 2: does not know what.

1377
01:07:39,253 --> 01:07:42,253
Speaker 3: I've heard some shocking answers from chech GVT said, the

1378
01:07:42,333 --> 01:07:45,533
Speaker 3: careful with that ai eight hundred and eighty ten eighty

1379
01:07:45,613 --> 01:07:47,493
Speaker 3: is the number to call, will take a quick break

1380
01:07:47,533 --> 01:07:50,333
Speaker 3: and be met with more of your phone calls very shortly.

1381
01:07:50,493 --> 01:07:53,573
Speaker 3: Including Sally who sees she doesn't throw anything out. It

1382
01:07:53,733 --> 01:07:54,853
Speaker 3: is twenty to three.

1383
01:07:56,733 --> 01:07:58,333
Speaker 8: Have a chat with the lads on.

1384
01:08:00,013 --> 01:08:03,413
Speaker 1: Matt and Taylor Afternoon with the Volvo xc N eighty

1385
01:08:03,533 --> 01:08:06,893
Speaker 1: ticking every box, a seamless experience awaits.

1386
01:08:06,613 --> 01:08:11,093
Speaker 2: News talks be okay. So apparently I'm wrong about something.

1387
01:08:11,133 --> 01:08:14,253
Speaker 2: I thought that op shops definitely wouldn't want your old jars.

1388
01:08:14,453 --> 01:08:16,372
Speaker 2: Youre ol peanut butter jars with the lid still working.

1389
01:08:16,412 --> 01:08:19,053
Speaker 2: Someone saying op shops very much want clean jars? Is

1390
01:08:19,053 --> 01:08:20,933
Speaker 2: that true? I mean, I mean, I don't know why

1391
01:08:21,013 --> 01:08:23,933
Speaker 2: a man who's texts the is I trust her implicitly?

1392
01:08:23,973 --> 01:08:25,652
Speaker 2: Why would she text that? And it's not true? But

1393
01:08:25,732 --> 01:08:27,133
Speaker 2: I just what would they do with them?

1394
01:08:27,732 --> 01:08:29,612
Speaker 3: Well, when you mentioned that, and I've got to you know,

1395
01:08:29,652 --> 01:08:31,532
Speaker 3: you've got to be careful on what you drop off

1396
01:08:31,572 --> 01:08:34,852
Speaker 3: at op shops because they get a lot of dumped outside.

1397
01:08:34,973 --> 01:08:36,972
Speaker 3: I hate and that is disgusting.

1398
01:08:36,973 --> 01:08:39,892
Speaker 2: It's incredibly selfish when you see a first thing on

1399
01:08:40,133 --> 01:08:45,053
Speaker 2: a Monday morning and there's some poor op shop, that

1400
01:08:45,293 --> 01:08:47,772
Speaker 2: charity shop that's just got piles of someone's crap that

1401
01:08:47,772 --> 01:08:49,612
Speaker 2: they couldn't get rid of, that they've put out the

1402
01:08:49,652 --> 01:08:53,492
Speaker 2: front acting like there's somehow being virtuous when really they're

1403
01:08:53,492 --> 01:08:55,412
Speaker 2: just dumping rubbish on someone having to deal with it.

1404
01:08:55,532 --> 01:08:57,652
Speaker 3: Yeah, and they're all volunteers. They don't have time to

1405
01:08:57,652 --> 01:08:59,532
Speaker 3: work through that. I'm going to google it. Do op

1406
01:08:59,572 --> 01:09:03,932
Speaker 3: shops actually like random jars left outside of their place

1407
01:09:03,933 --> 01:09:04,933
Speaker 3: of business.

1408
01:09:04,532 --> 01:09:06,253
Speaker 2: And someone saying that, you know, if you've got all

1409
01:09:06,253 --> 01:09:09,132
Speaker 2: these jars, because I'm all for that kind of recycling,

1410
01:09:09,333 --> 01:09:12,293
Speaker 2: I'm big on it, cobbling, getting your shoes fixed, buying

1411
01:09:12,372 --> 01:09:15,293
Speaker 2: less crap read you don't have to throw it out,

1412
01:09:15,333 --> 01:09:19,293
Speaker 2: and reusing jars and reusing plastic. I'm all in on that.

1413
01:09:19,612 --> 01:09:21,173
Speaker 2: I'm all on that. But someone here is saying that

1414
01:09:21,213 --> 01:09:22,973
Speaker 2: you put your jars up on Facebook and people will

1415
01:09:22,973 --> 01:09:24,572
Speaker 2: come and get them because people might need them for

1416
01:09:24,652 --> 01:09:27,053
Speaker 2: whatever things they're into. And I respect that.

1417
01:09:27,213 --> 01:09:27,652
Speaker 3: I like that.

1418
01:09:27,732 --> 01:09:29,612
Speaker 2: Well, what's the names of those old kind of jars?

1419
01:09:29,692 --> 01:09:32,973
Speaker 2: My mum used to make Mason Mason jars. Yeah, my

1420
01:09:33,093 --> 01:09:35,612
Speaker 2: mum used to make all the but it preserves. Why

1421
01:09:35,612 --> 01:09:37,732
Speaker 2: don't you make preserves Tyler on you and put them

1422
01:09:37,772 --> 01:09:39,932
Speaker 2: in your peanut butter jars instead of putting them through

1423
01:09:39,933 --> 01:09:40,492
Speaker 2: the dishwasher.

1424
01:09:40,572 --> 01:09:42,572
Speaker 3: Long story, but I bought a dehydrator and it was

1425
01:09:42,612 --> 01:09:45,013
Speaker 3: awful and terrible and so much work for bugger roll.

1426
01:09:45,093 --> 01:09:46,812
Speaker 3: But we'll get into that down the tree yet A Sally.

1427
01:09:47,933 --> 01:09:52,173
Speaker 25: Hello, Well, I'm with a volunteer in a up shop

1428
01:09:52,213 --> 01:09:53,333
Speaker 25: for over twenty.

1429
01:09:53,093 --> 01:09:56,133
Speaker 8: Years, oh yes, and people were.

1430
01:09:55,812 --> 01:10:00,452
Speaker 25: Always coming and to jars for their mom and laid

1431
01:10:00,572 --> 01:10:04,932
Speaker 25: and their saucers and everything. So I have never ever

1432
01:10:05,133 --> 01:10:09,972
Speaker 25: thrown any one of those jars out. I washed them

1433
01:10:10,013 --> 01:10:11,812
Speaker 25: at the end of the wash up because I don't

1434
01:10:11,812 --> 01:10:14,572
Speaker 25: have a dish washer, so just what the waters left

1435
01:10:14,612 --> 01:10:19,293
Speaker 25: after washing the normal things. And if they've got labels

1436
01:10:19,372 --> 01:10:21,973
Speaker 25: on them, I stick them in a bucket with some

1437
01:10:22,093 --> 01:10:26,652
Speaker 25: old water in it until the label soaks off. And

1438
01:10:27,812 --> 01:10:30,772
Speaker 25: I wouldn't dream of throwing them away when I know

1439
01:10:31,053 --> 01:10:34,612
Speaker 25: people used to come into the up shop just look

1440
01:10:35,013 --> 01:10:39,892
Speaker 25: marmalade time we didn't have enough, and sauce making time

1441
01:10:39,933 --> 01:10:44,173
Speaker 25: with tomato sauce we didn't have enough. So you why

1442
01:10:44,213 --> 01:10:46,213
Speaker 25: would rubbish?

1443
01:10:46,333 --> 01:10:48,372
Speaker 3: Well, I agree with you, Sally, So you currently work

1444
01:10:48,452 --> 01:10:50,333
Speaker 3: for an op shop and if I turn up with

1445
01:10:50,492 --> 01:10:53,612
Speaker 3: you know, a box full of picks peanut butter jars, empty,

1446
01:10:53,652 --> 01:10:55,892
Speaker 3: perfectly cleaned, you'd happily accept them, would you?

1447
01:10:56,812 --> 01:10:57,132
Speaker 15: Yes?

1448
01:10:57,452 --> 01:11:00,692
Speaker 3: Okay, well there we go. Thank you very much, Sally.

1449
01:11:00,772 --> 01:11:03,852
Speaker 3: Really nice to yet with you. All right, you have

1450
01:11:03,893 --> 01:11:06,572
Speaker 3: a good day, some great taps coming through on nine

1451
01:11:06,612 --> 01:11:10,772
Speaker 3: two nine two guys. If contaminated recyclables get dumped, then

1452
01:11:10,812 --> 01:11:13,852
Speaker 3: why does the council have recycle bins on the street

1453
01:11:13,893 --> 01:11:16,333
Speaker 3: for the public to put containers in. They have them

1454
01:11:16,412 --> 01:11:19,412
Speaker 3: on Packenham Street in the viaduct in Auckland. Nothing is

1455
01:11:19,412 --> 01:11:21,692
Speaker 3: being washed before people place containers in them all or

1456
01:11:21,732 --> 01:11:24,372
Speaker 3: are they dumping or recycling needs from Jack? It's a

1457
01:11:24,412 --> 01:11:24,892
Speaker 3: fair point.

1458
01:11:26,532 --> 01:11:32,253
Speaker 2: Yeah, I'm suspicious of the whole god damn thing.

1459
01:11:32,372 --> 01:11:35,213
Speaker 3: I'm questioning everything now. Yeah, I mean I'm still all

1460
01:11:35,333 --> 01:11:37,612
Speaker 3: die on this hill, even if it's making not a

1461
01:11:37,652 --> 01:11:40,812
Speaker 3: stick a difference in the recycling game. If I think

1462
01:11:40,853 --> 01:11:42,812
Speaker 3: I'm doing the right thing, that I get a kick

1463
01:11:42,812 --> 01:11:43,892
Speaker 3: out of that. Yeah.

1464
01:11:44,053 --> 01:11:45,612
Speaker 2: And well what about this here about the state of

1465
01:11:45,612 --> 01:11:48,652
Speaker 2: your dishwasher this Texas is yuck, Tyler, check your dishwasher.

1466
01:11:48,652 --> 01:11:52,252
Speaker 2: It will be disgusting. Wipe under door, room inside at bottom,

1467
01:11:52,452 --> 01:11:55,812
Speaker 2: black scum and filter. It's not a food disposal unit.

1468
01:11:56,253 --> 01:12:01,452
Speaker 3: I'm an a rental so that issue, Thank you very much.

1469
01:12:01,532 --> 01:12:04,452
Speaker 3: Right after some messages, we're going to have a chat

1470
01:12:04,492 --> 01:12:08,293
Speaker 3: to doctor Jeff Seeden. He is an expert in recycling,

1471
01:12:08,492 --> 01:12:10,652
Speaker 3: and hopefully he'll be able to put a few myths

1472
01:12:11,253 --> 01:12:14,213
Speaker 3: to bed and give us some insight about whether what

1473
01:12:14,293 --> 01:12:16,253
Speaker 3: I'm doing makes us stick a difference.

1474
01:12:15,933 --> 01:12:19,053
Speaker 2: Because yeah, I've just been sitting here speculating. I'm suspicious

1475
01:12:19,093 --> 01:12:20,572
Speaker 2: of the whole thing. But let's talk to someone that

1476
01:12:20,572 --> 01:12:23,013
Speaker 2: actually knows what they're talking about and get to the

1477
01:12:23,053 --> 01:12:25,092
Speaker 2: bottom of it. And we won't be checking check GPT

1478
01:12:25,213 --> 01:12:25,892
Speaker 2: because it lies.

1479
01:12:26,173 --> 01:12:29,093
Speaker 3: It's gonna be good. Thirteen to three.

1480
01:12:30,093 --> 01:12:32,532
Speaker 8: The issues that affect you, and a bit of fun

1481
01:12:32,572 --> 01:12:33,173
Speaker 8: along the way.

1482
01:12:33,412 --> 01:12:37,373
Speaker 1: Matt and Taylor Afternoons with the Volvo XC eighty Innovation,

1483
01:12:37,532 --> 01:12:39,333
Speaker 1: Style and Design, Have it All.

1484
01:12:39,452 --> 01:12:40,452
Speaker 8: News Talks d B.

1485
01:12:41,812 --> 01:12:44,412
Speaker 3: News Talks said, be it is ten to three right

1486
01:12:45,492 --> 01:12:46,173
Speaker 3: just before.

1487
01:12:45,933 --> 01:12:47,612
Speaker 2: We go on to this next little bit here, there's

1488
01:12:47,652 --> 01:12:53,892
Speaker 2: just a lot of controversy around jars, and I said,

1489
01:12:53,893 --> 01:12:58,692
Speaker 2: look that I didn't think op shops wanted your jars,

1490
01:12:59,652 --> 01:13:02,973
Speaker 2: but there's a lot coming through here. Hey, guys, I

1491
01:13:03,013 --> 01:13:05,532
Speaker 2: work at ESBA op shop and people are screaming out

1492
01:13:05,532 --> 01:13:09,612
Speaker 2: for clean jars. Okay, the op shop dumping Oh this

1493
01:13:09,652 --> 01:13:14,053
Speaker 2: is called selvy scabs where they scavenged through all the

1494
01:13:14,213 --> 01:13:16,412
Speaker 2: for ours donations and make the good stuff and leave

1495
01:13:16,532 --> 01:13:18,532
Speaker 2: us behind. I'm sick of cleaning up the mess. That's

1496
01:13:18,572 --> 01:13:21,013
Speaker 2: one I use all our jars for bottling. Hang on,

1497
01:13:21,253 --> 01:13:24,093
Speaker 2: I'm not lost to what my machine just went.

1498
01:13:24,173 --> 01:13:26,652
Speaker 3: Really, the teas machine is blowing up all the demand

1499
01:13:26,652 --> 01:13:28,133
Speaker 3: for jars. I had no idea on that.

1500
01:13:28,372 --> 01:13:30,253
Speaker 2: Yeah, it keeps going down one every time I try

1501
01:13:30,293 --> 01:13:32,012
Speaker 2: and read out the last one. So much stuff coming through.

1502
01:13:32,253 --> 01:13:34,692
Speaker 2: But some people are saying that there's a huge demand

1503
01:13:34,812 --> 01:13:37,892
Speaker 2: for jars, such as jars that you will be used

1504
01:13:37,933 --> 01:13:39,492
Speaker 2: for your peanut butter and then to be used for

1505
01:13:39,532 --> 01:13:41,213
Speaker 2: other stuff. And some people are saying that our op

1506
01:13:41,253 --> 01:13:43,293
Speaker 2: shops don't want them. So I guess check with your

1507
01:13:43,293 --> 01:13:44,012
Speaker 2: opshop first.

1508
01:13:44,093 --> 01:13:44,812
Speaker 3: Yeah, good advice.

1509
01:13:44,893 --> 01:13:47,652
Speaker 2: Don't just arrive later on a Sunday night and dump

1510
01:13:47,652 --> 01:13:49,732
Speaker 2: it there for them to them to work out. Take

1511
01:13:49,732 --> 01:13:50,973
Speaker 2: them and ask them if they want them.

1512
01:13:51,053 --> 01:13:53,692
Speaker 3: Yeah, yeah, good advice. Right to rap this up because

1513
01:13:53,692 --> 01:13:56,012
Speaker 3: it's been a good discussion about recycling, but we thought

1514
01:13:56,013 --> 01:13:58,293
Speaker 3: we'd get someone who knows what they're talking about to

1515
01:13:58,333 --> 01:14:01,293
Speaker 3: wrap up this hour. Doctor Jeff Seden is an independent

1516
01:14:01,372 --> 01:14:05,612
Speaker 3: environmental scientist and integrated waste management experting joins us on

1517
01:14:05,692 --> 01:14:08,972
Speaker 3: the line, get a doctor sedon afternoon.

1518
01:14:09,053 --> 01:14:09,812
Speaker 26: Nice to talk to you.

1519
01:14:10,492 --> 01:14:16,893
Speaker 2: What percentage, doctor Seden, of items going through our wheellybins

1520
01:14:16,933 --> 01:14:18,932
Speaker 2: are actually being recycled.

1521
01:14:19,612 --> 01:14:24,093
Speaker 26: Probably about eighty percent of what goes through, and the

1522
01:14:24,133 --> 01:14:29,173
Speaker 26: other twenty percent is due to contaminants. And the difficulty is,

1523
01:14:29,173 --> 01:14:32,492
Speaker 26: you know, people put things in a plastic bag and

1524
01:14:32,853 --> 01:14:36,812
Speaker 26: then put them into their recycling bin, and while they

1525
01:14:36,812 --> 01:14:39,932
Speaker 26: may have put everything correctly into that plastic bag, it's

1526
01:14:40,013 --> 01:14:43,933
Speaker 26: the plastic bag itself that can't be recycled through that system.

1527
01:14:44,053 --> 01:14:47,812
Speaker 2: We SORR eighty percent a really high number. I haven't

1528
01:14:47,853 --> 01:14:50,892
Speaker 2: seen that anywhere else. I'm hearing that eighty percent of

1529
01:14:50,933 --> 01:14:54,093
Speaker 2: what goes through. But if the machine has been there's

1530
01:14:54,093 --> 01:14:56,293
Speaker 2: only so much that you can do in any given day,

1531
01:14:56,933 --> 01:14:59,053
Speaker 2: and more comes through than they can deal with. That

1532
01:14:59,452 --> 01:15:02,133
Speaker 2: Is that? Are you including that in your number? I?

1533
01:15:02,333 --> 01:15:06,532
Speaker 26: Yes, I am including that. What we've got is this

1534
01:15:07,013 --> 01:15:11,053
Speaker 26: level of contamination, which is about twenty percent, and so

1535
01:15:11,293 --> 01:15:13,613
Speaker 26: that causes the difficulties.

1536
01:15:14,213 --> 01:15:18,772
Speaker 2: So everything that isn't contaminated gets recycled. Is that what

1537
01:15:18,812 --> 01:15:19,253
Speaker 2: you're saying?

1538
01:15:19,933 --> 01:15:24,293
Speaker 26: Not necessarily if you have, say a plastic bag with

1539
01:15:24,492 --> 01:15:28,852
Speaker 26: stuff in it for recycling, it won't be recycled because

1540
01:15:28,973 --> 01:15:31,492
Speaker 26: the plastic bag itself can't be, so they'll just put

1541
01:15:31,492 --> 01:15:34,212
Speaker 26: that aside and that ends up going to the landfill.

1542
01:15:34,492 --> 01:15:37,492
Speaker 2: So what's the gross number then? So taking into that

1543
01:15:37,572 --> 01:15:41,213
Speaker 2: account into what's contaminated, I mean, so you're saying that

1544
01:15:41,253 --> 01:15:43,613
Speaker 2: eighty percent of stuff could be recycled, but what percentage

1545
01:15:43,732 --> 01:15:46,972
Speaker 2: is actually recited, recycled and becomes another product.

1546
01:15:47,812 --> 01:15:50,492
Speaker 26: Yeah, it is around about eighty percent. It's about twenty

1547
01:15:50,492 --> 01:15:56,372
Speaker 26: percent which contains stuff that can be recycled like that ones, twos,

1548
01:15:56,372 --> 01:16:03,452
Speaker 26: fives and paper, et cetera. But they can also be

1549
01:16:03,572 --> 01:16:06,412
Speaker 26: in things like plastic bag so that won't go through.

1550
01:16:06,492 --> 01:16:09,892
Speaker 26: And of course then there is the the contaminated stuff

1551
01:16:10,692 --> 01:16:13,333
Speaker 26: people putting in the nappies and all sorts of stuff.

1552
01:16:13,372 --> 01:16:15,173
Speaker 2: So just to get this straight, just because I'm sorry,

1553
01:16:15,213 --> 01:16:17,372
Speaker 2: I'm a little bit confused here. So you're saying eighty

1554
01:16:17,412 --> 01:16:22,093
Speaker 2: percent of the rubbish that's put into recycling bins, say

1555
01:16:22,133 --> 01:16:25,932
Speaker 2: for example, in Auckland, goes through the processing part, doesn't

1556
01:16:25,973 --> 01:16:29,772
Speaker 2: end up in landfill and gets recycled and becomes another product.

1557
01:16:30,612 --> 01:16:31,732
Speaker 26: Yeah that's about right.

1558
01:16:32,412 --> 01:16:35,772
Speaker 3: Wow, is that a change? Doctor? Sedam because I the

1559
01:16:35,893 --> 01:16:39,093
Speaker 3: messaging from the Christian City Council, for example, before the

1560
01:16:39,173 --> 01:16:42,293
Speaker 3: standardized rules came into play, was that there was an

1561
01:16:42,293 --> 01:16:45,933
Speaker 3: allowance I believe, of ten percent contamination in a recycling

1562
01:16:45,973 --> 01:16:48,612
Speaker 3: truck and if that was exceeded, the whole lot went

1563
01:16:48,732 --> 01:16:54,133
Speaker 3: into landfill. Was that the case before the standardization, Yeah,

1564
01:16:54,253 --> 01:16:55,052
Speaker 3: that was the case.

1565
01:16:55,253 --> 01:16:58,853
Speaker 26: And you know, likewise, they allow a certain amount of contamination.

1566
01:16:59,013 --> 01:17:01,573
Speaker 26: So if they can pick up the level of contamination

1567
01:17:01,692 --> 01:17:04,492
Speaker 26: as being above the ten percent, then the whole thing

1568
01:17:04,532 --> 01:17:09,252
Speaker 26: goes off to landfall. And what they what they're discovering

1569
01:17:09,333 --> 01:17:12,053
Speaker 26: is that we're still getting about eighty percent, but yes,

1570
01:17:12,133 --> 01:17:16,293
Speaker 26: there is a larger amount being sent to landfill, and

1571
01:17:16,372 --> 01:17:19,093
Speaker 26: there be it used to be about ten percent, but

1572
01:17:19,213 --> 01:17:22,093
Speaker 26: over about the last decade or so, people have been

1573
01:17:22,173 --> 01:17:23,973
Speaker 26: putting in more contaminants.

1574
01:17:25,133 --> 01:17:28,692
Speaker 2: And where are these where are these recycled products going?

1575
01:17:29,452 --> 01:17:31,973
Speaker 2: Where are they coming out the other end? Are they?

1576
01:17:32,173 --> 01:17:34,812
Speaker 2: So you say, once it goes through the say the

1577
01:17:34,933 --> 01:17:37,452
Speaker 2: refuse transit center, eighty percent of it is that then

1578
01:17:37,532 --> 01:17:41,293
Speaker 2: sent to recycling companies that then do the work.

1579
01:17:42,173 --> 01:17:45,732
Speaker 26: Well, yeah, it goes through the recycling companies and they

1580
01:17:45,772 --> 01:17:49,852
Speaker 26: sell it on to manufacturers and those manufacturers are both

1581
01:17:49,933 --> 01:17:51,893
Speaker 26: local and international.

1582
01:17:53,093 --> 01:17:55,492
Speaker 3: Is that system working well at the moment, doctor Sedan

1583
01:17:55,572 --> 01:17:58,732
Speaker 3: or is there still a lot of flaws within that

1584
01:17:58,812 --> 01:17:59,652
Speaker 3: particular system.

1585
01:18:00,532 --> 01:18:05,333
Speaker 26: Well, obviously, if you've got twenty percent of the material contaminators,

1586
01:18:06,213 --> 01:18:09,613
Speaker 26: then there are full flows and it has been increasing.

1587
01:18:10,253 --> 01:18:17,412
Speaker 26: The change through a nationwide single system has helped things nationally,

1588
01:18:17,933 --> 01:18:21,253
Speaker 26: but there's also been changes like, for example, in Auckland

1589
01:18:21,412 --> 01:18:23,692
Speaker 26: used to leave the lids on. In other countries and

1590
01:18:23,812 --> 01:18:27,053
Speaker 26: other parts of the country you had lids off bottles,

1591
01:18:27,692 --> 01:18:31,692
Speaker 26: and now with that change, that's some people haven't caught

1592
01:18:31,772 --> 01:18:34,733
Speaker 26: up with those sorts of changes, even though the publicity's

1593
01:18:34,772 --> 01:18:35,213
Speaker 26: been there.

1594
01:18:35,412 --> 01:18:37,013
Speaker 2: Well, it's so interesting because I'm just looking at this

1595
01:18:37,652 --> 01:18:40,932
Speaker 2: Auckland site that's saying we only recycling compost about one

1596
01:18:41,013 --> 01:18:43,532
Speaker 2: third of the materials that we place on our curb

1597
01:18:43,612 --> 01:18:46,213
Speaker 2: side and two thirds are sent to landfill. So that

1598
01:18:46,333 --> 01:18:48,772
Speaker 2: eighty percent figure is much higher than what I'm reading here,

1599
01:18:48,812 --> 01:18:51,812
Speaker 2: So that's very interesting. Do you know what percentage of

1600
01:18:52,452 --> 01:18:57,412
Speaker 2: the recycling that goes to other companies? Do they use

1601
01:18:57,452 --> 01:19:02,052
Speaker 2: all of it as the process robust at our refuge

1602
01:19:02,093 --> 01:19:06,333
Speaker 2: transfer centers such that they use it all or that

1603
01:19:06,572 --> 01:19:06,972
Speaker 2: not sure?

1604
01:19:07,333 --> 01:19:07,452
Speaker 18: Oh?

1605
01:19:07,572 --> 01:19:08,933
Speaker 2: Hey, thank you so much for you. We've got to

1606
01:19:08,973 --> 01:19:13,333
Speaker 2: go now, Doctor Jeff Seden, independent environmental scientist.

1607
01:19:13,532 --> 01:19:17,093
Speaker 3: Yeah, thank you very much, doctor Seden. Well, interesting discussion

1608
01:19:17,372 --> 01:19:20,012
Speaker 3: and good to get the doctor on. But I'm still

1609
01:19:21,213 --> 01:19:25,293
Speaker 3: a little bit confused about whether it is fit for purpose.

1610
01:19:25,333 --> 01:19:28,013
Speaker 3: I'm still going to put my refuge and rubbish through

1611
01:19:28,013 --> 01:19:30,253
Speaker 3: the dishwasher because it makes me feel good about myself.

1612
01:19:30,372 --> 01:19:34,453
Speaker 2: I'm still very skeptical talking with you all afternoon.

1613
01:19:34,652 --> 01:19:38,372
Speaker 1: It's Matt Heathan Taylor Adams Afternoons with the Volvo X

1614
01:19:38,652 --> 01:19:39,852
Speaker 1: ninety News Talk ZB.

1615
01:19:41,372 --> 01:19:44,212
Speaker 3: Good afternoon to you, welcome back to the show seven

1616
01:19:44,372 --> 01:19:48,052
Speaker 3: pass three. So this topic is going to be a doozy,

1617
01:19:48,893 --> 01:19:51,852
Speaker 3: is it okay? With take your over there. Yeah.

1618
01:19:51,893 --> 01:19:53,572
Speaker 2: So I've just got this brand new cheer. Thank you

1619
01:19:53,612 --> 01:19:56,132
Speaker 2: very much News Talks. He'dbi it's a beautiful to demanded

1620
01:19:56,372 --> 01:19:58,093
Speaker 2: chair parody with my cost gang and I've got this

1621
01:19:58,093 --> 01:20:01,012
Speaker 2: new chair. It's great. But then ironically it's just wrapped

1622
01:20:01,532 --> 01:20:04,772
Speaker 2: my headphone called around the chair and its new fancy

1623
01:20:04,812 --> 01:20:08,213
Speaker 2: working and so it delayed the show. So what's the

1624
01:20:08,973 --> 01:20:12,093
Speaker 2: ers cheers? I'm very comfortable, but just just as a

1625
01:20:12,093 --> 01:20:13,892
Speaker 2: few teething issues with the length of my cord.

1626
01:20:13,973 --> 01:20:18,452
Speaker 3: So anyway, I mean that that comfort, that that support the.

1627
01:20:18,492 --> 01:20:21,532
Speaker 2: Lumbo because you've been sitting in the Hosking chair and

1628
01:20:21,572 --> 01:20:23,492
Speaker 2: you've I've seen how straight your back's getting.

1629
01:20:23,492 --> 01:20:25,492
Speaker 3: I don't like going home anymore with my couch. My

1630
01:20:25,612 --> 01:20:27,412
Speaker 3: couch is actually a pain in my back. And I

1631
01:20:27,452 --> 01:20:29,133
Speaker 3: come back here at nighttime and just sit in this

1632
01:20:29,213 --> 01:20:29,612
Speaker 3: chain thinking.

1633
01:20:29,652 --> 01:20:31,652
Speaker 2: But it's kind of that there is that saying, you know,

1634
01:20:31,732 --> 01:20:34,132
Speaker 2: like you know, the best one of the most important

1635
01:20:34,133 --> 01:20:36,692
Speaker 2: places to spend money is on your bed because you

1636
01:20:36,732 --> 01:20:38,612
Speaker 2: spend so much time there. It's so good for your health. Yes,

1637
01:20:38,692 --> 01:20:41,372
Speaker 2: true of a cheer too, Definitely a bad cheer working

1638
01:20:41,372 --> 01:20:43,692
Speaker 2: all down. A bad cheer is a terrible thing if

1639
01:20:43,692 --> 01:20:45,452
Speaker 2: you're going to spend any money spending on cheers. And

1640
01:20:45,692 --> 01:20:50,372
Speaker 2: thank you, me and me, thanks Bogsy for my new chair.

1641
01:20:51,293 --> 01:20:53,093
Speaker 3: Right onto this one. This is going to be a

1642
01:20:53,133 --> 01:20:56,692
Speaker 3: great conversation. Is it okay to track your children and

1643
01:20:56,772 --> 01:20:59,973
Speaker 3: other family members and maybe even your friends with a

1644
01:21:00,013 --> 01:21:03,613
Speaker 3: new technology that you can use to track people wherever

1645
01:21:03,692 --> 01:21:04,133
Speaker 3: they go?

1646
01:21:04,293 --> 01:21:06,732
Speaker 2: Yeah, this is a really interesting article should you track

1647
01:21:06,812 --> 01:21:10,133
Speaker 2: your kids through their phone? That came out last week?

1648
01:21:10,133 --> 01:21:13,013
Speaker 2: Where is this from Business Insider Business Insider, you're all

1649
01:21:13,053 --> 01:21:16,293
Speaker 2: just combobulated from the chair incident Business Insider. It's an

1650
01:21:16,253 --> 01:21:19,973
Speaker 2: interesting article. I would never track my kids, and I'd

1651
01:21:19,973 --> 01:21:21,772
Speaker 2: love to hear what people think why they do it

1652
01:21:21,973 --> 01:21:27,652
Speaker 2: eight hundred and eighty ten eighty because I think you

1653
01:21:27,853 --> 01:21:31,093
Speaker 2: just a you're not saying you're saying that you don't

1654
01:21:31,093 --> 01:21:33,892
Speaker 2: trust them. They've always got a backstop, as I guess

1655
01:21:33,973 --> 01:21:36,412
Speaker 2: why I would not do it, And I just think

1656
01:21:36,452 --> 01:21:39,173
Speaker 2: that that's extra worry because it's not really like you're

1657
01:21:39,173 --> 01:21:41,013
Speaker 2: constantly checking on them all the time. When they're not

1658
01:21:41,053 --> 01:21:43,253
Speaker 2: with you, they're not with you, and then and that's

1659
01:21:43,372 --> 01:21:45,333
Speaker 2: the school looks after them. There's a problem. They'll ring

1660
01:21:45,412 --> 01:21:47,732
Speaker 2: you if if they can't get to school, they'll they'll

1661
01:21:47,732 --> 01:21:49,892
Speaker 2: they'll they'll ring you. You you'll hear about it. I

1662
01:21:49,933 --> 01:21:52,052
Speaker 2: just think you've just got to let them go into

1663
01:21:52,093 --> 01:21:53,612
Speaker 2: the world. When you let them go into the world,

1664
01:21:53,652 --> 01:21:55,133
Speaker 2: and you've got to get on with your life when

1665
01:21:55,173 --> 01:21:56,132
Speaker 2: you're away, there's.

1666
01:21:55,973 --> 01:21:57,492
Speaker 3: That point where you let them go and you've got

1667
01:21:57,532 --> 01:22:00,572
Speaker 3: to trust that things are going to be okay without

1668
01:22:00,732 --> 01:22:02,852
Speaker 3: knowing where they are twenty four to seven. And I

1669
01:22:02,933 --> 01:22:06,213
Speaker 3: mentioned a little bit earlier in the show that mAb's family.

1670
01:22:06,293 --> 01:22:08,572
Speaker 3: They all track each other, and part one of me

1671
01:22:08,612 --> 01:22:11,093
Speaker 3: thinks that's kind of love. Your partner may have been

1672
01:22:11,093 --> 01:22:11,612
Speaker 3: my partner.

1673
01:22:11,692 --> 01:22:11,932
Speaker 2: YEP.

1674
01:22:12,013 --> 01:22:16,452
Speaker 3: So primarily they do that because her mum has managed

1675
01:22:16,492 --> 01:22:18,133
Speaker 3: to track down a lot of the phones that went

1676
01:22:18,173 --> 01:22:21,692
Speaker 3: missing via various adventures that they've had, but they also

1677
01:22:21,772 --> 01:22:23,612
Speaker 3: do it as part of safety. So part of me

1678
01:22:23,692 --> 01:22:26,652
Speaker 3: actually kind of likes that idea, one that her mum,

1679
01:22:26,732 --> 01:22:28,612
Speaker 3: Lisa has managed to recover a lot of phones that

1680
01:22:28,652 --> 01:22:30,772
Speaker 3: were initially lost with find my Phone.

1681
01:22:30,853 --> 01:22:34,092
Speaker 2: Yeah, I get that, but you can run the like, yeah,

1682
01:22:34,133 --> 01:22:37,772
Speaker 2: you can run that without tracking or checking on people. Yeah,

1683
01:22:37,853 --> 01:22:39,932
Speaker 2: you can have the devices in the system. I guess

1684
01:22:39,973 --> 01:22:42,972
Speaker 2: you know. And I've got my devices and I find

1685
01:22:43,013 --> 01:22:44,692
Speaker 2: my phone. In fact, I found out when we were

1686
01:22:44,692 --> 01:22:46,892
Speaker 2: talking about this that I am actually tracking one entire family.

1687
01:22:46,893 --> 01:22:50,213
Speaker 2: I didn't know I was. I was like, they're all there.

1688
01:22:50,333 --> 01:22:52,732
Speaker 3: You were fascinated by me. Holy moly, look at all

1689
01:22:52,772 --> 01:22:53,652
Speaker 3: these people on tracking.

1690
01:22:53,853 --> 01:22:56,692
Speaker 2: I've been virtuously walking around saying I don't track my family,

1691
01:22:56,692 --> 01:22:58,133
Speaker 2: I trust them to do stuff. But then I was

1692
01:22:58,173 --> 01:23:00,852
Speaker 2: tracking them. But I just wasn't looking at the tracking.

1693
01:23:01,572 --> 01:23:04,252
Speaker 2: And the other side of this was within a romantic

1694
01:23:04,293 --> 01:23:07,372
Speaker 2: relationship with your partner. And there's a story that's in

1695
01:23:07,412 --> 01:23:10,492
Speaker 2: the Hero Today Melbourne woman shears moment she caught her

1696
01:23:10,572 --> 01:23:14,933
Speaker 2: partner cheating through Apple Watch. So it's one thing to

1697
01:23:14,973 --> 01:23:17,652
Speaker 2: track your kids, because you might be going, oh my kids,

1698
01:23:17,853 --> 01:23:21,253
Speaker 2: the safety whatever reason. I can see that, But tracking

1699
01:23:21,253 --> 01:23:23,213
Speaker 2: your partner is a huge lack of trust.

1700
01:23:23,412 --> 01:23:26,652
Speaker 3: Yeah. I wouldn't let may track me no way. If

1701
01:23:26,652 --> 01:23:28,612
Speaker 3: she came to me and said I want to get

1702
01:23:28,652 --> 01:23:30,892
Speaker 3: you on the the find my phone or the Life

1703
01:23:30,893 --> 01:23:33,013
Speaker 3: three sixty I think is the other rap, just so

1704
01:23:33,173 --> 01:23:35,492
Speaker 3: I know that you're safe, I would say, look, maybe

1705
01:23:35,572 --> 01:23:38,612
Speaker 3: I love you, but I'm really sorry. The idea of

1706
01:23:38,652 --> 01:23:41,973
Speaker 3: being tracked twenty four seven wherever I am at the

1707
01:23:42,013 --> 01:23:44,213
Speaker 3: world just feels a bit weird to me. And I'm

1708
01:23:44,213 --> 01:23:47,253
Speaker 3: doing nothing wrong. I've got an incredibly boring life. Maybe

1709
01:23:47,293 --> 01:23:48,372
Speaker 3: that's what I am worried about.

1710
01:23:48,412 --> 01:23:50,892
Speaker 2: Anywy's find out that you not up to anything interesting.

1711
01:23:51,412 --> 01:23:55,093
Speaker 2: But you know, maybe you're maybe you want to have

1712
01:23:55,692 --> 01:23:57,333
Speaker 2: just some freedom to go and do something. You're not

1713
01:23:57,452 --> 01:24:01,173
Speaker 2: cheating on your partner, but you're maybe playing golf. Yeah

1714
01:24:01,372 --> 01:24:03,892
Speaker 2: you know, and you don't want her just knowing the

1715
01:24:03,933 --> 01:24:05,652
Speaker 2: whole time you're playing golf, I don't know.

1716
01:24:05,652 --> 01:24:07,333
Speaker 3: And she can call me if you know, if I've

1717
01:24:07,333 --> 01:24:09,812
Speaker 3: spent way too long at God decided to have an

1718
01:24:09,812 --> 01:24:11,452
Speaker 3: extra couple of beers at the pub, she can ring

1719
01:24:11,492 --> 01:24:12,732
Speaker 3: me and say, I thought you're going to be home

1720
01:24:12,772 --> 01:24:15,093
Speaker 3: an hour ago. Sorry, I decided to stick around a

1721
01:24:15,133 --> 01:24:18,772
Speaker 3: bit longer. But to me a little bit about trust.

1722
01:24:18,812 --> 01:24:21,012
Speaker 3: But also that's just that's my privacy.

1723
01:24:21,093 --> 01:24:24,692
Speaker 2: Yeah. Well, well, as it says in this article, one

1724
01:24:24,732 --> 01:24:27,692
Speaker 2: person's taken it. When teenagers with teenagers, it just indicates

1725
01:24:27,692 --> 01:24:29,892
Speaker 2: a lack of faith that you have raised them to

1726
01:24:29,973 --> 01:24:32,732
Speaker 2: make the right decisions. And it's like living in a

1727
01:24:32,772 --> 01:24:37,013
Speaker 2: nanty state, said this communications professional. And Nikki, Yeah, so

1728
01:24:37,133 --> 01:24:39,052
Speaker 2: I think that's a lack of faith in your partner

1729
01:24:39,133 --> 01:24:41,052
Speaker 2: if you're tracking them, and it's a lack of faith

1730
01:24:41,452 --> 01:24:44,213
Speaker 2: in your kids if you're tracking them. But I could

1731
01:24:44,253 --> 01:24:46,812
Speaker 2: be wrong. And look, I've got very well behaved kids,

1732
01:24:46,853 --> 01:24:49,372
Speaker 2: and look I put that down a lot to the

1733
01:24:49,532 --> 01:24:52,253
Speaker 2: excellent work of their mum. But oh wait, one hundred

1734
01:24:52,293 --> 01:24:54,652
Speaker 2: and eighty ten eighty is the number? Do you track

1735
01:24:54,692 --> 01:24:59,012
Speaker 2: your kids? And if so why And if you don't,

1736
01:24:59,133 --> 01:25:01,333
Speaker 2: then then if so, why because I'd love to hear

1737
01:25:01,333 --> 01:25:03,092
Speaker 2: from you in nineteen nine two is the text number.

1738
01:25:03,213 --> 01:25:06,052
Speaker 3: It is twelve past three. Beg very shortly. You're listening

1739
01:25:06,133 --> 01:25:09,173
Speaker 3: to Matt and Tyler. Quarter past three.

1740
01:25:09,333 --> 01:25:13,213
Speaker 2: We're talking about tracking your kids and partners. We've got

1741
01:25:13,213 --> 01:25:15,972
Speaker 2: a Melbourne woman who found her husband cheating. But look,

1742
01:25:15,973 --> 01:25:18,053
Speaker 2: we want to talk about tracking your kids too. Here's

1743
01:25:18,093 --> 01:25:19,892
Speaker 2: a text on nine two nine two. We as a

1744
01:25:19,933 --> 01:25:22,492
Speaker 2: family can track each other and are all happy for

1745
01:25:22,532 --> 01:25:25,012
Speaker 2: it to be like this. We have nothing to hide,

1746
01:25:25,213 --> 01:25:28,012
Speaker 2: and do it for safety reasons and if we lose

1747
01:25:28,053 --> 01:25:31,333
Speaker 2: our phones. I get definitely tracking your devices, but sure

1748
01:25:31,412 --> 01:25:33,652
Speaker 2: for safety reasons and have nothing to hide. But it's

1749
01:25:33,652 --> 01:25:37,492
Speaker 2: also for me. It's just saying that you trust someone.

1750
01:25:38,173 --> 01:25:40,652
Speaker 2: You don't track them, you could, but you trust them.

1751
01:25:41,053 --> 01:25:44,093
Speaker 2: And I think that's really powerful, but I could be wrong.

1752
01:25:44,133 --> 01:25:48,812
Speaker 2: I wait, undred eighty ten eighty Mark. You've got a

1753
01:25:48,812 --> 01:25:51,092
Speaker 2: family that does it, Yeah, curry good.

1754
01:25:52,213 --> 01:25:54,412
Speaker 27: Yeah, lookin have done for years. So I've got two

1755
01:25:54,492 --> 01:25:57,732
Speaker 27: daughters and they're now twenty nine and thirty one, and

1756
01:25:58,013 --> 01:26:00,852
Speaker 27: this has been in place for well over a decade,

1757
01:26:00,853 --> 01:26:04,213
Speaker 27: and so we're teenagers and it is absolutely a safety thing.

1758
01:26:04,372 --> 01:26:06,412
Speaker 27: And you know, we don't check up on each other

1759
01:26:06,973 --> 01:26:09,093
Speaker 27: to my knowledge, one of those daughters as a n

1760
01:26:09,372 --> 01:26:11,932
Speaker 27: and she said she feels more comfortable that I can

1761
01:26:11,973 --> 01:26:14,133
Speaker 27: track her when she's go on shifts, walking back to

1762
01:26:14,213 --> 01:26:16,013
Speaker 27: the car and those kinds of things. If anything did

1763
01:26:16,013 --> 01:26:19,893
Speaker 27: happen to go wrong. They both travel a lot, absolutely

1764
01:26:19,933 --> 01:26:21,692
Speaker 27: up to them where they take that tracking off and

1765
01:26:21,853 --> 01:26:24,173
Speaker 27: say they're adults now and both of them actually feel

1766
01:26:24,253 --> 01:26:27,652
Speaker 27: safer as asman out on their own off.

1767
01:26:28,893 --> 01:26:32,732
Speaker 2: Now, Mark, would you if just check up on them

1768
01:26:32,933 --> 01:26:35,133
Speaker 2: or do you do you track them? You know, just

1769
01:26:35,173 --> 01:26:37,173
Speaker 2: if there's an emergency or a problem, or for the

1770
01:26:37,253 --> 01:26:39,652
Speaker 2: safety you know, the knowledge that they are safe if

1771
01:26:39,692 --> 01:26:42,532
Speaker 2: anything happened you knew where they were, or would you

1772
01:26:42,572 --> 01:26:45,333
Speaker 2: just check in where they are on just for no interest?

1773
01:26:46,812 --> 01:26:46,852
Speaker 8: No?

1774
01:26:47,213 --> 01:26:49,852
Speaker 27: Never, never would. I mean if I want to unask them,

1775
01:26:49,893 --> 01:26:52,852
Speaker 27: and that's the trust thing. They can track us as well,

1776
01:26:53,812 --> 01:26:55,333
Speaker 27: and you know there's a trust thing, and you know,

1777
01:26:56,372 --> 01:26:56,892
Speaker 27: I've got no.

1778
01:26:56,893 --> 01:26:57,732
Speaker 9: Reason to abuse it.

1779
01:26:58,133 --> 01:27:00,213
Speaker 27: They're good kids, They've got their adults, they've got their

1780
01:27:00,253 --> 01:27:02,972
Speaker 27: own lives. But I know that if anything did go wrong,

1781
01:27:03,013 --> 01:27:05,612
Speaker 27: and more importantly, and they say, as young women, they

1782
01:27:05,692 --> 01:27:08,132
Speaker 27: feel safe for knowing that I can find them quickly

1783
01:27:08,173 --> 01:27:09,732
Speaker 27: and can get in a car and get there if

1784
01:27:09,732 --> 01:27:11,093
Speaker 27: I have to do you.

1785
01:27:11,013 --> 01:27:12,973
Speaker 3: Think there is a difference there with young women and

1786
01:27:13,053 --> 01:27:15,412
Speaker 3: young young men, you know, daughters and sons. Mark, And

1787
01:27:15,452 --> 01:27:17,333
Speaker 3: I'm not saying that to be seeks. It's just the

1788
01:27:17,372 --> 01:27:20,772
Speaker 3: reality of the world, right, is that young females can

1789
01:27:20,812 --> 01:27:23,932
Speaker 3: be put into positions where they feel more unsafe than

1790
01:27:24,293 --> 01:27:24,812
Speaker 3: young guys.

1791
01:27:26,133 --> 01:27:29,213
Speaker 27: Yeah, you're asking your father here, so absolutely, Particularly, I

1792
01:27:29,293 --> 01:27:31,372
Speaker 27: say with one of mine who's a nurse, and you know,

1793
01:27:31,372 --> 01:27:34,532
Speaker 27: they end up walking backwards in christ Church, walking backwards

1794
01:27:34,812 --> 01:27:38,173
Speaker 27: back across through around Hackley Park area at eleven eleven

1795
01:27:38,213 --> 01:27:40,452
Speaker 27: thirty at night or going at six o'clock in the morning,

1796
01:27:41,692 --> 01:27:44,812
Speaker 27: you know, and they're both very conscious of their own safety.

1797
01:27:44,853 --> 01:27:47,772
Speaker 27: But I guess the message is it's not parents putting

1798
01:27:47,772 --> 01:27:50,493
Speaker 27: it on them in this case. They're adults, self determining

1799
01:27:50,572 --> 01:27:52,692
Speaker 27: and they feel safe for us being able to find them.

1800
01:27:52,572 --> 01:27:56,213
Speaker 2: If we had to have you had any situations in

1801
01:27:56,253 --> 01:27:58,172
Speaker 2: which the tracking has been useful.

1802
01:28:01,173 --> 01:28:05,333
Speaker 27: A couple where you received a phone call, you know,

1803
01:28:05,372 --> 01:28:09,972
Speaker 27: with people feeling but uncomfortable other dodgy people around and

1804
01:28:10,093 --> 01:28:11,812
Speaker 27: having a conversation on the way back to a car

1805
01:28:11,853 --> 01:28:14,652
Speaker 27: with both of them on different occasions where they knew

1806
01:28:14,732 --> 01:28:17,973
Speaker 27: that if they told me that they needed help, I

1807
01:28:18,093 --> 01:28:20,093
Speaker 27: knew exactly where they were. I could have called the

1808
01:28:20,093 --> 01:28:23,093
Speaker 27: cops or copped them myself or whatever. But nothing any

1809
01:28:23,093 --> 01:28:26,852
Speaker 27: more than that and a couple of lost phones or

1810
01:28:26,853 --> 01:28:28,492
Speaker 27: misplaced phones and that, and they can go onto the

1811
01:28:28,492 --> 01:28:30,213
Speaker 27: app and do that themselves, so they don't even need

1812
01:28:30,293 --> 01:28:33,412
Speaker 27: me for that. But it started off when they were

1813
01:28:33,452 --> 01:28:35,492
Speaker 27: younger teenagers that just started to go out on their

1814
01:28:35,532 --> 01:28:39,293
Speaker 27: own and you know, and just knowing the actually convenience

1815
01:28:39,333 --> 01:28:40,892
Speaker 27: saying where to pick them up because they always gave

1816
01:28:40,893 --> 01:28:41,612
Speaker 27: you the wrong streak.

1817
01:28:42,692 --> 01:28:45,013
Speaker 2: Now it sounds like you've got a very good relationship

1818
01:28:45,213 --> 01:28:48,972
Speaker 2: with your daughters and you know they love having dad

1819
01:28:49,013 --> 01:28:52,932
Speaker 2: there as an extra line of safety. And look, I can't,

1820
01:28:53,173 --> 01:28:56,133
Speaker 2: I can't, you know, I can't pour throw any shade

1821
01:28:56,133 --> 01:28:59,092
Speaker 2: at that. It seems like a very honorable thing. Would

1822
01:28:59,173 --> 01:29:03,333
Speaker 2: you Have you ever come across any dishonesty from them

1823
01:29:04,093 --> 01:29:05,932
Speaker 2: where they've said they're going to be somewhere and then

1824
01:29:06,053 --> 01:29:08,932
Speaker 2: they're not, or any situation like that ever occurred.

1825
01:29:10,253 --> 01:29:14,213
Speaker 27: That's nothing the right home about, you know, in a

1826
01:29:14,293 --> 01:29:17,133
Speaker 27: slightly different place or whatever. But yeah, I think that's

1827
01:29:17,133 --> 01:29:20,093
Speaker 27: for me. For me, the thing has opened this absolutely

1828
01:29:20,253 --> 01:29:22,333
Speaker 27: no way that that should give or be done without

1829
01:29:22,412 --> 01:29:23,452
Speaker 27: everybody's knowledge.

1830
01:29:23,652 --> 01:29:25,452
Speaker 2: Yeah, yeah, and and and what.

1831
01:29:27,053 --> 01:29:27,173
Speaker 5: Not?

1832
01:29:27,452 --> 01:29:30,692
Speaker 2: Yeah? And what say? Yeah? And what's say? Because this

1833
01:29:30,772 --> 01:29:33,652
Speaker 2: is this is hypothetical. It's not your situation. But say

1834
01:29:33,692 --> 01:29:36,452
Speaker 2: you had a child that was had had a drug

1835
01:29:36,492 --> 01:29:39,612
Speaker 2: problem and they were trying to get clean and you

1836
01:29:39,692 --> 01:29:42,572
Speaker 2: weren't sure that they were they were keeping true to

1837
01:29:42,612 --> 01:29:46,693
Speaker 2: what they were saying. Would you support tracking them then?

1838
01:29:46,973 --> 01:29:49,372
Speaker 2: So you know you're looking at this and going, oh, well,

1839
01:29:49,372 --> 01:29:52,253
Speaker 2: hang on, they're clearly gone to buy some drugs or

1840
01:29:52,492 --> 01:29:55,732
Speaker 2: or whatever. Can you imagine a situation like that morally?

1841
01:29:55,853 --> 01:29:57,812
Speaker 2: Just just to I mean, I know it's not your situation,

1842
01:29:57,973 --> 01:30:00,892
Speaker 2: so you're only speculating, but what would you think about that?

1843
01:30:01,053 --> 01:30:06,133
Speaker 27: No, No, I work in a clearly technical industry, and

1844
01:30:06,213 --> 01:30:09,093
Speaker 27: you know it's how many is in the situation where

1845
01:30:09,133 --> 01:30:10,932
Speaker 27: you've got an open family app like that, you can

1846
01:30:11,013 --> 01:30:13,013
Speaker 27: spook your location to be anywhere you want to if

1847
01:30:13,013 --> 01:30:14,093
Speaker 27: you want to be sized about it.

1848
01:30:14,612 --> 01:30:18,532
Speaker 3: So right, yeah, yeah, but no, good on you, Mark.

1849
01:30:18,572 --> 01:30:20,892
Speaker 3: I can absolutely understand that from a safety point of view.

1850
01:30:20,893 --> 01:30:23,972
Speaker 3: And I mentioned before my partner Mave it's all daughters.

1851
01:30:23,973 --> 01:30:26,652
Speaker 3: She's got three sisters, and I'm not being sexist here,

1852
01:30:26,652 --> 01:30:29,053
Speaker 3: but I get it from a safety perspective, it is

1853
01:30:29,133 --> 01:30:33,133
Speaker 3: probably more precarious for females young females, and it is

1854
01:30:33,173 --> 01:30:35,212
Speaker 3: for young men. And I imagine young men would.

1855
01:30:35,452 --> 01:30:39,492
Speaker 2: That Tyler, I think that's reception because because young men

1856
01:30:39,532 --> 01:30:42,173
Speaker 2: get into a lot of trouble, I mean, men get

1857
01:30:42,173 --> 01:30:45,012
Speaker 2: into more trouble than than girls do of their own volition.

1858
01:30:45,093 --> 01:30:48,372
Speaker 2: It would seem if you look at the stats.

1859
01:30:47,893 --> 01:30:49,093
Speaker 27: I think you're find that they are.

1860
01:30:49,492 --> 01:30:49,692
Speaker 19: Yeah.

1861
01:30:49,732 --> 01:30:52,213
Speaker 27: I don't know the stats, but my impression would be

1862
01:30:52,253 --> 01:30:55,093
Speaker 27: that female potentially walking on her own or in a

1863
01:30:55,133 --> 01:30:57,133
Speaker 27: small group but not is much more likely to be

1864
01:30:57,213 --> 01:30:57,893
Speaker 27: hassled than that.

1865
01:30:58,133 --> 01:31:03,612
Speaker 2: Oh yeah, yeah, yeah, yeah, from from that perspective. Mark here,

1866
01:31:03,652 --> 01:31:05,772
Speaker 2: from that one I'm saying in terms of getting themselves

1867
01:31:05,853 --> 01:31:08,933
Speaker 2: in trouble. Yeah, but yeah, I mean I can tell you,

1868
01:31:09,452 --> 01:31:12,093
Speaker 2: and thanks for your call, Mark, But yeah, maybe that's

1869
01:31:12,093 --> 01:31:15,053
Speaker 2: because I've got two sons and I'm a dad, and

1870
01:31:15,053 --> 01:31:16,772
Speaker 2: maybe there's a slight bit of sexes and there I'm

1871
01:31:16,772 --> 01:31:17,133
Speaker 2: not sure.

1872
01:31:17,772 --> 01:31:20,132
Speaker 3: Well, but yeah, but you're quite right, young men would

1873
01:31:20,492 --> 01:31:24,412
Speaker 3: arguably get themselves into more trouble than the females. A

1874
01:31:24,492 --> 01:31:28,612
Speaker 3: young woman, but whether tracking your sons would have any

1875
01:31:28,692 --> 01:31:30,692
Speaker 3: different you know, would would change that.

1876
01:31:31,333 --> 01:31:32,893
Speaker 2: I would just like to say to my sons and

1877
01:31:32,933 --> 01:31:35,213
Speaker 2: I'm not tracking you and I trust you to make

1878
01:31:35,253 --> 01:31:37,572
Speaker 2: the right decisions out there in the world of your

1879
01:31:37,612 --> 01:31:38,092
Speaker 2: own volition.

1880
01:31:38,372 --> 01:31:40,852
Speaker 3: Yeah. Yeah, but if they lose lose their fone they.

1881
01:31:40,772 --> 01:31:42,732
Speaker 2: Don't have daughters, that might be totally different if they

1882
01:31:42,732 --> 01:31:45,293
Speaker 2: had a daughter, because I know that dads feel very

1883
01:31:45,293 --> 01:31:47,532
Speaker 2: protective of their daughters in a slightly different way.

1884
01:31:48,013 --> 01:31:50,092
Speaker 3: Yeah, give us a call. I wait, one hundred eighty

1885
01:31:50,253 --> 01:31:53,013
Speaker 3: ten eighty. If you're a family that tracks each other,

1886
01:31:53,093 --> 01:31:55,892
Speaker 3: love to hear from you. Why nine two ninety two

1887
01:31:55,933 --> 01:31:58,213
Speaker 3: is the text number as well? It is twenty one

1888
01:31:58,213 --> 01:32:00,612
Speaker 3: past three, be very shortly hear on news talks. I'd be.

1889
01:32:05,452 --> 01:32:05,532
Speaker 13: Mad.

1890
01:32:05,692 --> 01:32:07,733
Speaker 8: Heathen Taylor Adams afternoons.

1891
01:32:07,772 --> 01:32:10,133
Speaker 1: Call oh, eight hundred and eighty ten eighty on news

1892
01:32:10,213 --> 01:32:11,053
Speaker 1: Talk ZB.

1893
01:32:11,253 --> 01:32:13,252
Speaker 3: Good afternoon, twenty four past three.

1894
01:32:13,293 --> 01:32:16,133
Speaker 2: We're talking about tracking your family members and it's a

1895
01:32:16,293 --> 01:32:18,492
Speaker 2: very heated debate on both sides.

1896
01:32:18,652 --> 01:32:19,333
Speaker 3: It certainly is.

1897
01:32:19,572 --> 01:32:22,333
Speaker 2: Yeah, tight hundred eighty ten eighty do you track your

1898
01:32:22,333 --> 01:32:24,772
Speaker 2: family and why? Or one hundred eighty ten eighty Do

1899
01:32:24,853 --> 01:32:29,173
Speaker 2: you think that tracking your family is wrong and unnecessary?

1900
01:32:29,492 --> 01:32:31,972
Speaker 3: Some great teachs coming through a nine two nine two. Goodday, guys.

1901
01:32:31,973 --> 01:32:33,932
Speaker 3: I gave my twenty four year old son an Apple

1902
01:32:33,973 --> 01:32:36,372
Speaker 3: eartag when he went traveling in Europe for four months.

1903
01:32:36,532 --> 01:32:39,133
Speaker 3: Didn't need to contact him very often, as could see

1904
01:32:39,173 --> 01:32:42,292
Speaker 3: where he was at any time. It was fantastic. Bonus

1905
01:32:42,933 --> 01:32:45,013
Speaker 3: was he had the tag in his travel documents so

1906
01:32:45,053 --> 01:32:47,772
Speaker 3: he could track them if anything got stolen from Julian.

1907
01:32:48,053 --> 01:32:53,412
Speaker 2: Yeah, this TEXTU disagrees. Safety excuse makes these people feel good.

1908
01:32:53,412 --> 01:32:56,892
Speaker 2: Tracking is only good going to lead to disaster, so

1909
01:32:57,093 --> 01:33:00,412
Speaker 2: stop it. This person says, I started tracking my family

1910
01:33:00,652 --> 01:33:02,452
Speaker 2: after I saw the movie Taken.

1911
01:33:04,893 --> 01:33:05,652
Speaker 3: Great movie.

1912
01:33:05,772 --> 01:33:10,692
Speaker 2: Oh yeah, how does it go? I do have a

1913
01:33:10,772 --> 01:33:13,772
Speaker 2: very particular set of skills, skills I have acquired over

1914
01:33:13,772 --> 01:33:16,972
Speaker 2: a very long career, skills that make me a nightmare

1915
01:33:17,013 --> 01:33:21,052
Speaker 2: for people like you. One of the great speeches, right.

1916
01:33:20,973 --> 01:33:22,572
Speaker 3: Line, you don't want to leave Nissan after.

1917
01:33:22,412 --> 01:33:25,892
Speaker 2: A fantastic movie. Yeah, I can sort of understand the

1918
01:33:25,893 --> 01:33:27,852
Speaker 2: logic there, Loos, how are you?

1919
01:33:29,253 --> 01:33:29,892
Speaker 11: I'm good?

1920
01:33:30,173 --> 01:33:31,133
Speaker 10: Thank you good?

1921
01:33:31,532 --> 01:33:32,372
Speaker 14: So you're wonderful.

1922
01:33:32,612 --> 01:33:37,772
Speaker 2: Interesting conversation, Thank you, thank you, thank you for joining

1923
01:33:37,812 --> 01:33:38,253
Speaker 2: us for it.

1924
01:33:39,253 --> 01:33:44,213
Speaker 4: Oh, you're you're fine. I agree with three sixty. There's

1925
01:33:44,372 --> 01:33:49,053
Speaker 4: my daughter, who partner, my granddaughter, my grandson who is

1926
01:33:49,093 --> 01:33:53,732
Speaker 4: in Europe. We're all on it together. And as Nana,

1927
01:33:54,173 --> 01:33:59,932
Speaker 4: I'm a worrier and if I'm concerned at all, bomb

1928
01:34:00,213 --> 01:34:02,932
Speaker 4: I sport them to see where they are, to see

1929
01:34:02,973 --> 01:34:08,333
Speaker 4: if they're at work or at school or Tyler's in Europe.

1930
01:34:08,853 --> 01:34:13,932
Speaker 4: What's happening to him if we haven't heard. Yeah, we've

1931
01:34:13,933 --> 01:34:15,652
Speaker 4: had a couple of years.

1932
01:34:15,973 --> 01:34:18,012
Speaker 2: And are they and are they happy? Are they happy

1933
01:34:18,253 --> 01:34:20,333
Speaker 2: for you to be checking in whether they're at work

1934
01:34:20,412 --> 01:34:20,652
Speaker 2: or not?

1935
01:34:21,933 --> 01:34:28,412
Speaker 4: Yep, they call me the stalker. It's all out of love.

1936
01:34:29,572 --> 01:34:32,293
Speaker 4: I'm not on it all the time, but I just

1937
01:34:32,452 --> 01:34:34,892
Speaker 4: you know, when my daughter takes off for work in

1938
01:34:34,933 --> 01:34:38,412
Speaker 4: the morning, I just when she I think, oh, eight o'clock,

1939
01:34:38,532 --> 01:34:42,412
Speaker 4: she'll be there. I'll go on then and think, oh god,

1940
01:34:42,492 --> 01:34:44,852
Speaker 4: she's at work. You know she's not caught up in

1941
01:34:44,933 --> 01:34:47,413
Speaker 4: traffic or accident or in hospital.

1942
01:34:47,893 --> 01:34:48,932
Speaker 10: Blah blah blah.

1943
01:34:48,973 --> 01:34:51,372
Speaker 2: So yeah, do you think that if you didn't. But

1944
01:34:51,692 --> 01:34:54,253
Speaker 2: if you can't, if you couldn't track them at all,

1945
01:34:55,053 --> 01:34:57,772
Speaker 2: then what are the worrying? Just stop the fact that

1946
01:34:57,812 --> 01:35:00,812
Speaker 2: you have this extra piece of information that you can

1947
01:35:00,853 --> 01:35:04,612
Speaker 2: lock up all the time. That means that you're here.

1948
01:35:05,333 --> 01:35:07,852
Speaker 2: You know what I mean, Like when I when I

1949
01:35:07,893 --> 01:35:09,692
Speaker 2: go to work, my kids go to school, and I

1950
01:35:09,732 --> 01:35:11,812
Speaker 2: stop worrying about them at that point. But if I

1951
01:35:11,853 --> 01:35:13,572
Speaker 2: had the bility of track them, I don't know what

1952
01:35:13,652 --> 01:35:15,532
Speaker 2: I start looking in and going are they school or

1953
01:35:15,572 --> 01:35:19,492
Speaker 2: are they wagging? I don't know. I just I just think.

1954
01:35:19,532 --> 01:35:22,372
Speaker 2: I think if people aren't with you, then you then

1955
01:35:22,812 --> 01:35:24,412
Speaker 2: this is the way. And I'm not I'm not judging

1956
01:35:24,452 --> 01:35:28,372
Speaker 2: what you do and and you be you and bless,

1957
01:35:28,452 --> 01:35:31,892
Speaker 2: but I just feel like it would add another layer

1958
01:35:31,973 --> 01:35:34,452
Speaker 2: of worry to me because I'd be going, well, I

1959
01:35:34,452 --> 01:35:36,412
Speaker 2: could check now, I could check now, I could check now,

1960
01:35:36,412 --> 01:35:38,692
Speaker 2: I could check now instead of I can only check

1961
01:35:38,692 --> 01:35:41,132
Speaker 2: when I get home from when they get home from school.

1962
01:35:42,412 --> 01:35:46,133
Speaker 4: Oh well, if it's true, I mean, I don't do

1963
01:35:46,213 --> 01:35:49,253
Speaker 4: it during the day or anything. It's just once they've

1964
01:35:49,293 --> 01:35:52,612
Speaker 4: got to the place they were going, I feel better,

1965
01:35:53,093 --> 01:35:55,972
Speaker 4: you know, I can. I feel better about my day.

1966
01:35:56,093 --> 01:35:59,293
Speaker 4: Then I can eat have my break. You're about my

1967
01:35:59,412 --> 01:36:00,812
Speaker 4: family as safe.

1968
01:36:01,133 --> 01:36:05,252
Speaker 3: Yeah, you're a great mum and Grandma lowers so honestly,

1969
01:36:05,293 --> 01:36:07,333
Speaker 3: once you see that they get to the place and

1970
01:36:07,812 --> 01:36:10,012
Speaker 3: you can can eat your food because you're feeling better,

1971
01:36:10,452 --> 01:36:13,612
Speaker 3: honesty call. Then you put down the Life three sixty

1972
01:36:13,612 --> 01:36:15,052
Speaker 3: app and you don't look at it at it again?

1973
01:36:16,173 --> 01:36:19,293
Speaker 4: No, No, I go on to TEAMU or one of the.

1974
01:36:23,492 --> 01:36:25,133
Speaker 3: About them, Yeah, love it.

1975
01:36:25,133 --> 01:36:26,812
Speaker 17: Thinking about all right, Well.

1976
01:36:27,093 --> 01:36:32,372
Speaker 4: I do love it. And it's no nothing against not trusting.

1977
01:36:32,612 --> 01:36:38,173
Speaker 4: We all agreed. Absolutely fabulous. You know, it's a fabulous

1978
01:36:38,213 --> 01:36:39,572
Speaker 4: thing in my eyes.

1979
01:36:40,093 --> 01:36:43,213
Speaker 2: My well, thank you so much for your call. Have

1980
01:36:43,333 --> 01:36:45,812
Speaker 2: you forgotten, Matt what you were like as a teenage boy.

1981
01:36:45,893 --> 01:36:48,053
Speaker 2: As a parent of two young girls, it's my job

1982
01:36:48,093 --> 01:36:50,452
Speaker 2: to protect them against boys and what they try to

1983
01:36:50,452 --> 01:36:52,333
Speaker 2: get up to. Things have changed for the better. And

1984
01:36:52,333 --> 01:36:55,932
Speaker 2: I admire Robinson for what he's done. I'm sure Robinson

1985
01:36:56,013 --> 01:36:59,052
Speaker 2: is what he's done. It's about education. I think it's working.

1986
01:36:59,333 --> 01:37:02,572
Speaker 3: Yeah, well do I think about it? And I don't

1987
01:37:02,572 --> 01:37:06,652
Speaker 3: have children, but partner mave and she hasn't asked me

1988
01:37:06,732 --> 01:37:09,293
Speaker 3: to go on one of these tracking apps. And I

1989
01:37:09,293 --> 01:37:12,093
Speaker 3: don't like the idea of it, but on the occasion,

1990
01:37:12,213 --> 01:37:14,853
Speaker 3: and it doesn't have that often quite often, well, sometimes

1991
01:37:14,893 --> 01:37:17,412
Speaker 3: Mayvee has you know the girls night where she goes

1992
01:37:17,412 --> 01:37:18,812
Speaker 3: out and has a great time in town to say,

1993
01:37:18,893 --> 01:37:21,333
Speaker 3: and I love that fantastic go and do that, and

1994
01:37:21,372 --> 01:37:24,652
Speaker 3: on the odd occasion it's getting quite late, as in

1995
01:37:24,772 --> 01:37:28,013
Speaker 3: like two am, and her phone might have died on

1996
01:37:28,093 --> 01:37:32,692
Speaker 3: those occasions, I'll admit that having some sort of you know,

1997
01:37:32,732 --> 01:37:36,412
Speaker 3: find my phone just so I know that mave as

1998
01:37:36,492 --> 01:37:39,133
Speaker 3: my partner is safe is not a bad thing. But

1999
01:37:39,293 --> 01:37:40,933
Speaker 3: at a slippery slope.

2000
01:37:40,612 --> 01:37:42,452
Speaker 2: Well, well, I guess it depends what your motives are.

2001
01:37:42,492 --> 01:37:45,973
Speaker 2: If your motives are safety, And I'm way more sympathetic

2002
01:37:45,973 --> 01:37:50,213
Speaker 2: when it comes to parents and their children because the

2003
01:37:50,213 --> 01:37:52,452
Speaker 2: protective spirit there, and there's your job as a parent

2004
01:37:52,492 --> 01:37:54,612
Speaker 2: to protect your kids. I get that. I wouldn't I

2005
01:37:54,612 --> 01:37:56,652
Speaker 2: don't do it, but I'm not really judging people for that.

2006
01:37:57,612 --> 01:38:00,612
Speaker 2: But if you are tracking your partner, you'd have to

2007
01:38:00,652 --> 01:38:03,053
Speaker 2: be sure it's for safety and not because you don't

2008
01:38:03,053 --> 01:38:05,692
Speaker 2: trust them to be unfaithful or something, because then I

2009
01:38:05,732 --> 01:38:08,492
Speaker 2: think that's a very unhealthy relationship. If you're sitting you're

2010
01:38:08,532 --> 01:38:10,412
Speaker 2: tracking your partner all the time because you're worried they're

2011
01:38:10,452 --> 01:38:13,253
Speaker 2: running off for someone else, I think that's that's that's

2012
01:38:13,333 --> 01:38:15,933
Speaker 2: going to lead to misery. So you'd have to be

2013
01:38:16,053 --> 01:38:18,452
Speaker 2: very sure that your tracking was purely for safety.

2014
01:38:18,532 --> 01:38:21,652
Speaker 3: Yeah. Oh, one hundred eight eighty is the number to

2015
01:38:21,692 --> 01:38:23,492
Speaker 3: call if you use one of these apps. I love

2016
01:38:23,532 --> 01:38:26,213
Speaker 3: to chat with you nine two ninety two. If you've

2017
01:38:26,253 --> 01:38:28,532
Speaker 3: had a bit of a debate in the household about

2018
01:38:28,732 --> 01:38:30,852
Speaker 3: the morality of using these apps, love to hear from

2019
01:38:30,893 --> 01:38:31,892
Speaker 3: you as well. It is bad.

2020
01:38:32,333 --> 01:38:34,972
Speaker 2: And if you're covertly tracking your family and haven't told

2021
01:38:35,013 --> 01:38:36,412
Speaker 2: them about it, I'd like to hear that as well.

2022
01:38:36,452 --> 01:38:38,213
Speaker 3: Give us a call. We'll keep you anonymous. It is

2023
01:38:38,333 --> 01:38:41,372
Speaker 3: bang on Hoppers. Three headlines with Raylene coming up.

2024
01:38:44,333 --> 01:38:48,012
Speaker 18: Jus talks it'd be headlines with blue Bubble taxis. It's

2025
01:38:48,053 --> 01:38:51,532
Speaker 18: no trouble with a blue bubble. The Police Commissioner is

2026
01:38:51,572 --> 01:38:56,253
Speaker 18: proposing to disestablish thirty seven executive and support service jobs

2027
01:38:56,572 --> 01:39:00,892
Speaker 18: and create twenty new roles. Labour's leader says he's concerned

2028
01:39:00,893 --> 01:39:04,772
Speaker 18: about a diplomatic escalation with Keddy bass. Our raid is

2029
01:39:04,812 --> 01:39:08,012
Speaker 18: on pause during a review this after the Iron Nation

2030
01:39:08,133 --> 01:39:11,652
Speaker 18: came intiled a meeting with our foreign minister. Meanwhile, the

2031
01:39:11,692 --> 01:39:15,253
Speaker 18: Foreign ministers slamming a hotline set up for reporting sightings

2032
01:39:15,532 --> 01:39:20,213
Speaker 18: of Israeli soldiers holidaying in New Zealand. The Palestinian Solidarity

2033
01:39:20,293 --> 01:39:23,612
Speaker 18: Network is asking for tip offs so it can tell

2034
01:39:23,652 --> 01:39:27,852
Speaker 18: the soldiers. They're not welcome back in Gaza. Tens of

2035
01:39:27,853 --> 01:39:31,372
Speaker 18: thousands of Palestinians are returning to the Strip unsure of

2036
01:39:31,412 --> 01:39:35,732
Speaker 18: the state of their homes as a ceasefire continues. Dame

2037
01:39:35,772 --> 01:39:39,933
Speaker 18: Tariana Tudia has been remembered today as Parliament reconvenes for

2038
01:39:39,973 --> 01:39:42,852
Speaker 18: the year. The long serving MP and the party Mardi

2039
01:39:43,572 --> 01:39:46,412
Speaker 18: co founder, I should say, died this month. She was

2040
01:39:46,492 --> 01:39:50,493
Speaker 18: eighty and parliaments also mark the death of Nelson policewoman

2041
01:39:50,572 --> 01:39:53,772
Speaker 18: Senior Sergeant Lynn Fleming, who was killed on duty after

2042
01:39:53,812 --> 01:40:00,293
Speaker 18: New Year's Eve festivities. SkyTV customers underwhelmed and annoyed as

2043
01:40:00,333 --> 01:40:04,253
Speaker 18: an increasing number of people suffer satellite outages. Read more

2044
01:40:04,333 --> 01:40:08,213
Speaker 18: at enzid Herald Premium. Back to Matt Eathan Tyler Adams.

2045
01:40:08,333 --> 01:40:09,412
Speaker 3: Thank you very much, Ray Lean.

2046
01:40:09,692 --> 01:40:10,692
Speaker 2: So cold in the studio.

2047
01:40:11,013 --> 01:40:11,532
Speaker 3: It isn't.

2048
01:40:13,572 --> 01:40:15,412
Speaker 2: I'm always pushing for it to be cold in here

2049
01:40:15,612 --> 01:40:18,173
Speaker 2: because I believe it keeps you sharp. But I've gone

2050
01:40:18,213 --> 01:40:19,133
Speaker 2: too far today and it is.

2051
01:40:19,652 --> 01:40:21,812
Speaker 3: Do you want to say anything. I'm glad, Jo'm like man,

2052
01:40:21,812 --> 01:40:23,532
Speaker 3: I should have rode a jump of today because Mett

2053
01:40:23,532 --> 01:40:26,932
Speaker 3: wanted at sixteen degrees and forcuse, icycles on the blooming roof.

2054
01:40:26,973 --> 01:40:28,732
Speaker 2: It's like a beverage in here. I've gone too far

2055
01:40:29,732 --> 01:40:31,652
Speaker 2: drunk on my own power of being able to control

2056
01:40:31,692 --> 01:40:34,852
Speaker 2: the ARCon I bet those people tracking their kids are

2057
01:40:34,853 --> 01:40:38,572
Speaker 2: also double parking outside the school at three pm. Two Yeah,

2058
01:40:38,732 --> 01:40:40,572
Speaker 2: I mean, gott to let your kids walk home from

2059
01:40:40,612 --> 01:40:44,133
Speaker 2: school if they possibly can. More worrying if you have

2060
01:40:44,253 --> 01:40:47,172
Speaker 2: to constantly check their phones don't track, And if I needed,

2061
01:40:47,293 --> 01:40:49,692
Speaker 2: I could go into my husband's phone as soon as

2062
01:40:49,732 --> 01:40:52,492
Speaker 2: I feel in need. I know there are bigger issues

2063
01:40:52,612 --> 01:40:55,213
Speaker 2: same with kids, and it means we have to have

2064
01:40:55,333 --> 01:40:59,492
Speaker 2: open conversations. If you're suspicious. Yeah, I mean, I've read

2065
01:40:59,532 --> 01:41:01,293
Speaker 2: that text very badly, but I hope you get the

2066
01:41:01,372 --> 01:41:03,933
Speaker 2: gist of it. I'm freezing up here. I'm shaking, I

2067
01:41:03,973 --> 01:41:04,372
Speaker 2: can't read.

2068
01:41:04,692 --> 01:41:06,293
Speaker 3: We're going to turn that he's up and get some

2069
01:41:06,333 --> 01:41:08,973
Speaker 3: blood flow again. But just on that point, that is

2070
01:41:09,013 --> 01:41:11,053
Speaker 3: how I know that it is a safety issue not

2071
01:41:11,093 --> 01:41:13,452
Speaker 3: a trust issue. Is that I'm more than happy to

2072
01:41:13,612 --> 01:41:16,412
Speaker 3: give the past code to my phone easy. Yes, that's

2073
01:41:16,412 --> 01:41:18,452
Speaker 3: an open book. If Mave wants to have a look

2074
01:41:18,492 --> 01:41:20,973
Speaker 3: on the phone, go for gold. But I still do

2075
01:41:21,053 --> 01:41:22,732
Speaker 3: not want to be tracked, and not because I'm doing

2076
01:41:22,772 --> 01:41:25,732
Speaker 3: anything nefarious. I just don't like the idea of being tracked.

2077
01:41:25,732 --> 01:41:26,372
Speaker 3: I'm old school.

2078
01:41:26,452 --> 01:41:27,932
Speaker 2: Yeah, well, your partner can get up to a lot

2079
01:41:27,973 --> 01:41:30,333
Speaker 2: in the same general area in a girl's night out

2080
01:41:30,372 --> 01:41:33,652
Speaker 2: as well. Exactly goes both ways, so you can get

2081
01:41:33,853 --> 01:41:37,772
Speaker 2: up to a lot in a ten meters radius. Love

2082
01:41:37,812 --> 01:41:39,932
Speaker 2: the tracking. I used to get in trouble for letting

2083
01:41:39,973 --> 01:41:42,133
Speaker 2: the wife know where I was, for not letting the

2084
01:41:42,133 --> 01:41:43,732
Speaker 2: wife know where I was when I was out on

2085
01:41:43,772 --> 01:41:45,892
Speaker 2: the source till Sillier Clark. But now she can just

2086
01:41:45,933 --> 01:41:47,852
Speaker 2: look it up and see that I'm sitting at the

2087
01:41:47,853 --> 01:41:50,572
Speaker 2: pub with the boys. That's true. So she just checks

2088
01:41:50,572 --> 01:41:52,173
Speaker 2: and goes, oh, yeah, there he is.

2089
01:41:52,293 --> 01:41:54,053
Speaker 3: He's still again, still getting pissed up at the pub.

2090
01:41:54,133 --> 01:41:56,612
Speaker 2: He's still sitting with the same guys telling the same stories.

2091
01:41:57,013 --> 01:42:00,892
Speaker 3: All right, and that's wholesome. Matthew. How are you?

2092
01:42:00,973 --> 01:42:01,213
Speaker 21: Yeah?

2093
01:42:01,253 --> 01:42:02,892
Speaker 3: Good, very good.

2094
01:42:03,333 --> 01:42:06,733
Speaker 2: So you and your daughter use a snaptrap map.

2095
01:42:07,213 --> 01:42:11,093
Speaker 21: Yes, snipchap map. It's just nice and easy. You know,

2096
01:42:11,333 --> 01:42:14,173
Speaker 21: I've had her full time for like eight years now

2097
01:42:14,173 --> 01:42:17,333
Speaker 21: she's sixteen, so where she was younger. Being a full

2098
01:42:17,372 --> 01:42:20,612
Speaker 21: time parent and full time employment, you need to know

2099
01:42:20,612 --> 01:42:24,932
Speaker 21: if she's getting home from school properly now that she's

2100
01:42:25,253 --> 01:42:27,532
Speaker 21: turning into sixteen, she's out in about with her mates.

2101
01:42:27,893 --> 01:42:29,893
Speaker 21: You ring her are you okay? Sh and answer I

2102
01:42:29,933 --> 01:42:32,253
Speaker 21: can quickly go, oh, yep, she's at a friend's house.

2103
01:42:32,772 --> 01:42:36,812
Speaker 21: Done as easy. I'm not watching it.

2104
01:42:37,213 --> 01:42:41,532
Speaker 2: Yeah, so you don't watch, you don't watch where she is?

2105
01:42:41,572 --> 01:42:43,613
Speaker 2: What would make you check the snapchat?

2106
01:42:43,692 --> 01:42:43,892
Speaker 13: Matt?

2107
01:42:46,093 --> 01:42:49,412
Speaker 21: Purely if it's a nighttime and like she's bust off

2108
01:42:49,452 --> 01:42:51,492
Speaker 21: to a friend's house and she hasn't like kids, so

2109
01:42:51,933 --> 01:42:53,372
Speaker 21: I'll take you when I get there, And they never

2110
01:42:53,452 --> 01:42:56,053
Speaker 21: don't because kids they've got a great memory of, you know,

2111
01:42:56,173 --> 01:42:59,492
Speaker 21: letting their parents know what they're up to. Then I

2112
01:42:59,572 --> 01:43:01,733
Speaker 21: do this check and have a lot go oh, absolutely

2113
01:43:01,732 --> 01:43:04,293
Speaker 21: she is there, even though she's on her phone. She

2114
01:43:04,772 --> 01:43:06,532
Speaker 21: will reply at some point and it's just a bit

2115
01:43:06,532 --> 01:43:10,492
Speaker 21: of peace of mind. And I think with today's you know,

2116
01:43:10,893 --> 01:43:13,692
Speaker 21: society in how it is, it's not as safe as

2117
01:43:13,692 --> 01:43:15,213
Speaker 21: it used to be. Where I was a kid, you know,

2118
01:43:15,253 --> 01:43:17,372
Speaker 21: we were out and about all the time and parents

2119
01:43:17,412 --> 01:43:19,932
Speaker 21: couldn't check up off home and it.

2120
01:43:19,893 --> 01:43:24,412
Speaker 2: Was dark, yeah, and.

2121
01:43:23,732 --> 01:43:25,213
Speaker 21: They worried, Like I don't know if I could be

2122
01:43:25,293 --> 01:43:26,652
Speaker 21: appearing back to the days, because.

2123
01:43:26,412 --> 01:43:27,133
Speaker 13: I'd worry too much.

2124
01:43:27,372 --> 01:43:31,532
Speaker 2: Yeah, I think my parents didn't seem to worry at all,

2125
01:43:30,812 --> 01:43:33,532
Speaker 2: just put They'll just put dinner in the microwave and

2126
01:43:33,772 --> 01:43:36,133
Speaker 2: I'd come in after dark and eat it, which I

2127
01:43:36,133 --> 01:43:38,012
Speaker 2: really appreciated. It was a nice gesture of my mum

2128
01:43:38,013 --> 01:43:40,852
Speaker 2: to put the dinner in the microwave. But I've got

2129
01:43:40,893 --> 01:43:42,812
Speaker 2: a question from Matthew, and you don't need to answer

2130
01:43:42,933 --> 01:43:46,492
Speaker 2: that if you don't want to, because it might might

2131
01:43:46,933 --> 01:43:48,652
Speaker 2: go into territory you don't want to talk about. But

2132
01:43:49,053 --> 01:43:52,892
Speaker 2: as your daughter gets older and she's going out and about,

2133
01:43:53,053 --> 01:43:55,012
Speaker 2: or let's just go let's let's go into the realm

2134
01:43:55,173 --> 01:43:58,452
Speaker 2: of other people. Let's say, as if you're tracking your

2135
01:43:58,492 --> 01:44:01,372
Speaker 2: daughter when she's sixteen, what happens when she's eighteen and

2136
01:44:01,452 --> 01:44:04,693
Speaker 2: she's out and maybe she's going back to a boyfriend's

2137
01:44:04,692 --> 01:44:08,013
Speaker 2: house or a new boyfriend's house or whatever. Do you

2138
01:44:08,093 --> 01:44:11,772
Speaker 2: want to know that? Is that something you want to track?

2139
01:44:12,013 --> 01:44:15,972
Speaker 21: No, no, no, it's not a tracking I don't see

2140
01:44:15,973 --> 01:44:17,732
Speaker 21: it as a tracking thing. It's just a check up

2141
01:44:17,772 --> 01:44:21,452
Speaker 21: on yeah, just to assure that she is where he is,

2142
01:44:21,812 --> 01:44:24,452
Speaker 21: like once she's turned eighteen. Yeah, I don't ever say

2143
01:44:24,492 --> 01:44:24,972
Speaker 21: it anywhere.

2144
01:44:25,053 --> 01:44:27,052
Speaker 2: Yeah, yeah, no, you don't you don't know.

2145
01:44:27,492 --> 01:44:29,973
Speaker 21: And then you know, she's a very mature sixteen year

2146
01:44:29,973 --> 01:44:33,652
Speaker 21: old at the moment. You know, I'd have very little

2147
01:44:33,652 --> 01:44:36,532
Speaker 21: worries and what she does to get up to it's more,

2148
01:44:36,692 --> 01:44:39,333
Speaker 21: you know, if she's bussing like a littan guy. Boy,

2149
01:44:39,452 --> 01:44:41,213
Speaker 21: she's got a friend in Lincoln, So it's to our

2150
01:44:41,293 --> 01:44:44,652
Speaker 21: bus ride, yeah, just to ensure, you know, and you've

2151
01:44:44,692 --> 01:44:48,093
Speaker 21: got to go past the bus exchange. Yeah, you're like,

2152
01:44:48,732 --> 01:44:50,732
Speaker 21: did you just get there on time to make it

2153
01:44:50,812 --> 01:44:52,572
Speaker 21: you were safe till that's done?

2154
01:44:52,853 --> 01:44:55,732
Speaker 2: Yeah? Yeah, Now, Matthew, do you do you do you

2155
01:44:55,812 --> 01:44:57,372
Speaker 2: have a Do you have a partner at the moment?

2156
01:44:57,412 --> 01:45:00,772
Speaker 2: If you don't mind my asking, none, would you would

2157
01:45:00,812 --> 01:45:02,133
Speaker 2: you track a partner if you did?

2158
01:45:03,692 --> 01:45:06,052
Speaker 21: No, No, there's a security in there, and that's something

2159
01:45:06,053 --> 01:45:06,612
Speaker 21: else going on.

2160
01:45:06,853 --> 01:45:10,253
Speaker 2: Yeah, yeah, yeah, that's that's that's the same for me.

2161
01:45:10,452 --> 01:45:12,893
Speaker 2: I think I can understand tracking kids, even though I

2162
01:45:12,893 --> 01:45:14,852
Speaker 2: don't track my kids. But I think once you start

2163
01:45:14,893 --> 01:45:18,173
Speaker 2: tracking your partner, then you're into an area of.

2164
01:45:18,093 --> 01:45:20,052
Speaker 3: That said too far. That's harder than justify.

2165
01:45:20,173 --> 01:45:22,412
Speaker 2: It's a lack of trust tracking another adult.

2166
01:45:23,412 --> 01:45:25,572
Speaker 21: Yeah, what was the reason for needed to track your partner?

2167
01:45:25,612 --> 01:45:26,213
Speaker 21: They're an adult?

2168
01:45:26,532 --> 01:45:28,772
Speaker 2: Yeah, yeah, good point. Yeah, good point. Hey, thanks so

2169
01:45:28,853 --> 01:45:30,452
Speaker 2: much for sharing meth you think of your call.

2170
01:45:30,572 --> 01:45:33,412
Speaker 3: Cheers Matthew, Tony, how are you this afternoon?

2171
01:45:34,532 --> 01:45:35,772
Speaker 14: You're not too bad, mate, how are you?

2172
01:45:36,133 --> 01:45:36,612
Speaker 2: Very good?

2173
01:45:36,692 --> 01:45:39,173
Speaker 3: So you've got a bit of a story to tell

2174
01:45:39,213 --> 01:45:39,972
Speaker 3: about tracking.

2175
01:45:41,173 --> 01:45:45,572
Speaker 14: I work for a small company. The owners there are

2176
01:45:45,572 --> 01:45:49,852
Speaker 14: a couple paranoid is buggery man with each other. One

2177
01:45:49,853 --> 01:45:52,253
Speaker 14: of them is a drug addict, and how he gets

2178
01:45:52,253 --> 01:45:55,572
Speaker 14: arounded as he comes to site, stashes his phone, gets

2179
01:45:55,612 --> 01:45:57,692
Speaker 14: his drugs, picks up the phone, goes back.

2180
01:45:58,572 --> 01:46:03,852
Speaker 2: Ah right, well that is crafty, isn't it. I mean,

2181
01:46:04,412 --> 01:46:06,732
Speaker 2: so she checks where he is. He's at work, but

2182
01:46:06,772 --> 01:46:09,133
Speaker 2: he's not. That's where his phone is, and.

2183
01:46:09,093 --> 01:46:11,853
Speaker 14: Then he'll go back up to the other we're excitings

2184
01:46:12,173 --> 01:46:13,932
Speaker 14: tell them that he's helped us, and you know, we're

2185
01:46:13,933 --> 01:46:17,053
Speaker 14: all fine and all that. But nah, none of that.

2186
01:46:17,612 --> 01:46:19,372
Speaker 2: Yeah, I can see a problem when you're tracking your

2187
01:46:19,452 --> 01:46:21,572
Speaker 2: kid and this this is you know, this is slightly

2188
01:46:21,572 --> 01:46:23,812
Speaker 2: different from what you're you're talking about, Tony, But in

2189
01:46:23,853 --> 01:46:26,612
Speaker 2: the situation where you're tracking someone and the phone being

2190
01:46:26,652 --> 01:46:28,892
Speaker 2: on them is a certain amount of safety because they

2191
01:46:28,933 --> 01:46:31,572
Speaker 2: can ring you, they can ring for help. But because

2192
01:46:31,812 --> 01:46:34,133
Speaker 2: they know that you're you're tracking them, and they want

2193
01:46:34,173 --> 01:46:36,213
Speaker 2: to go and do something that's maybe risky. They'll leave

2194
01:46:36,253 --> 01:46:38,692
Speaker 2: their phone in the place at maybe say a friend's

2195
01:46:38,692 --> 01:46:41,013
Speaker 2: house or in this case, the work, and then they

2196
01:46:41,013 --> 01:46:43,972
Speaker 2: go off and do the dodgy thing without their phone

2197
01:46:44,013 --> 01:46:46,612
Speaker 2: and out their ability, without their ability to call for

2198
01:46:46,692 --> 01:46:47,532
Speaker 2: help if they need it.

2199
01:46:48,652 --> 01:46:52,372
Speaker 14: Yes, it's just paranoia and they just using and abusing

2200
01:46:52,412 --> 01:46:53,692
Speaker 14: everybody to get his own way.

2201
01:46:53,853 --> 01:46:58,852
Speaker 3: Yeah, you haven't. You haven't been caught up in this scenario, Tony.

2202
01:46:58,893 --> 01:47:00,892
Speaker 3: The wife hasn't come to the office and said, hey,

2203
01:47:01,213 --> 01:47:04,213
Speaker 3: where's my hubby. I know he's here because I'm tracking him,

2204
01:47:04,333 --> 01:47:05,652
Speaker 3: and you haven't had to cover for him.

2205
01:47:06,893 --> 01:47:07,133
Speaker 8: Nah.

2206
01:47:07,253 --> 01:47:09,733
Speaker 14: Nah, If I had a part I touched them.

2207
01:47:09,812 --> 01:47:10,572
Speaker 2: Yeah, yeah, yeah.

2208
01:47:10,572 --> 01:47:12,812
Speaker 14: I mean, no point, no point of being with someone

2209
01:47:12,853 --> 01:47:14,852
Speaker 14: if you don't if you don't have trust, you have nothing.

2210
01:47:15,333 --> 01:47:18,013
Speaker 2: I agree said, yeah, hey, thank you so much for

2211
01:47:18,013 --> 01:47:19,132
Speaker 2: your call. Tony.

2212
01:47:19,173 --> 01:47:21,452
Speaker 3: Well, that's a relationship in trouble, was it, really? If

2213
01:47:21,532 --> 01:47:22,812
Speaker 3: that sort of behavior is going.

2214
01:47:22,652 --> 01:47:25,732
Speaker 2: On, what about those terrible situations where one of your

2215
01:47:25,772 --> 01:47:27,612
Speaker 2: friend's partners wrings you up and asks you And this

2216
01:47:27,612 --> 01:47:29,173
Speaker 2: has happened to me a number of times. Is so?

2217
01:47:29,253 --> 01:47:32,532
Speaker 2: And so with you, and that that is a terrible

2218
01:47:32,572 --> 01:47:35,492
Speaker 2: position to put a friend in where you lie to

2219
01:47:35,572 --> 01:47:39,093
Speaker 2: your partner and say I with Matt and you're not,

2220
01:47:39,572 --> 01:47:41,173
Speaker 2: and then they ring up, and I'm put in the

2221
01:47:41,173 --> 01:47:44,133
Speaker 2: position of going and you know, in that position, I

2222
01:47:44,213 --> 01:47:46,613
Speaker 2: won't lie because I'm not going to get into the

2223
01:47:46,612 --> 01:47:49,932
Speaker 2: the ever spiraling trouble of you going yeah, yeah, Tyler's

2224
01:47:49,973 --> 01:47:52,253
Speaker 2: with me. Maybe, yeah, he's with me? Can you put

2225
01:47:52,293 --> 01:47:54,053
Speaker 2: him up? No, I can't put him on at the

2226
01:47:54,053 --> 01:47:55,812
Speaker 2: moment he's he's in the bathroom.

2227
01:47:55,853 --> 01:47:58,653
Speaker 3: Then you're complicit from that day for if you're involved,

2228
01:47:58,853 --> 01:48:01,453
Speaker 3: and that massive line, it just grows and grows and grows.

2229
01:48:01,572 --> 01:48:05,892
Speaker 2: Yeah, yeah, yeah, I don't know that. That's that's happened

2230
01:48:05,893 --> 01:48:09,053
Speaker 2: to me a number of times. And yeah, or or

2231
01:48:09,093 --> 01:48:13,852
Speaker 2: they or they ring up and say it's say is

2232
01:48:13,893 --> 01:48:16,052
Speaker 2: he with you? And you go, yep, is he drunk?

2233
01:48:16,053 --> 01:48:20,213
Speaker 2: And you go, well, that's not for me to.

2234
01:48:20,173 --> 01:48:22,212
Speaker 3: Say, what's your meaning to the word drunk?

2235
01:48:22,333 --> 01:48:24,173
Speaker 2: You Meanwhile, he's standing on top of the table with

2236
01:48:24,173 --> 01:48:27,413
Speaker 2: a toilet seat around his head, singing the national anthem.

2237
01:48:27,333 --> 01:48:30,692
Speaker 3: All right, oh, one hundred eighty ten eighty. Do you

2238
01:48:30,732 --> 01:48:33,053
Speaker 3: track your family and specifically your kids and if you

2239
01:48:33,053 --> 01:48:35,093
Speaker 3: do love to hear from you. Nine two niney two

2240
01:48:35,173 --> 01:48:37,132
Speaker 3: is the text number seventeen to four.

2241
01:48:39,173 --> 01:48:42,772
Speaker 1: A fresh take on Talkback Matt and Taylor Afternoons with

2242
01:48:42,893 --> 01:48:46,652
Speaker 1: the Volvo XC ninety Turn every journey into something special.

2243
01:48:46,853 --> 01:48:49,812
Speaker 1: Have your say on eight hundred eighty ten eighty Youth

2244
01:48:49,853 --> 01:48:50,372
Speaker 1: Talks NB.

2245
01:48:50,732 --> 01:48:51,932
Speaker 3: Some great teachs coming through.

2246
01:48:52,053 --> 01:48:54,532
Speaker 2: Yeah, that's right. We're talking about tracking your kids and

2247
01:48:54,572 --> 01:48:57,892
Speaker 2: tracking your partner. And look, you may think that you're

2248
01:48:57,893 --> 01:49:00,692
Speaker 2: getting some certainty, and I don't know, I feel great

2249
01:49:00,692 --> 01:49:03,572
Speaker 2: about this because you don't have any senerty really that

2250
01:49:03,612 --> 01:49:05,572
Speaker 2: you know where they are. You know, people can be

2251
01:49:05,652 --> 01:49:09,892
Speaker 2: running burner phones, as this person said. My sixteen year

2252
01:49:09,973 --> 01:49:12,492
Speaker 2: old nephew and his mates used to meet at one

2253
01:49:12,532 --> 01:49:15,213
Speaker 2: person's house and then leave their phones on the bed

2254
01:49:15,253 --> 01:49:17,293
Speaker 2: and sneak out because they knew they were being tracked.

2255
01:49:18,093 --> 01:49:20,572
Speaker 2: The parents were perfectly happy. They were like, there they go,

2256
01:49:20,652 --> 01:49:22,692
Speaker 2: they check, and they're all staying over at this house

2257
01:49:23,173 --> 01:49:25,772
Speaker 2: until they were caught. Because their friends were posting on

2258
01:49:25,812 --> 01:49:27,412
Speaker 2: social media and they're in the photos.

2259
01:49:27,452 --> 01:49:28,492
Speaker 3: It's easy to get around.

2260
01:49:28,732 --> 01:49:31,372
Speaker 2: Yeah, so you go, oh, look, no, they're just there.

2261
01:49:31,372 --> 01:49:33,933
Speaker 2: They're very stationary. They've been in the same spot in

2262
01:49:33,973 --> 01:49:36,013
Speaker 2: that bedroom for a long time when while all of

2263
01:49:36,053 --> 01:49:37,092
Speaker 2: them have jumped out the window.

2264
01:49:38,772 --> 01:49:40,012
Speaker 3: keV, how are you this afternoon?

2265
01:49:40,532 --> 01:49:41,772
Speaker 28: Hey, I'm good, Thank you.

2266
01:49:42,173 --> 01:49:45,412
Speaker 3: Now you use the is it life three sixty?

2267
01:49:46,412 --> 01:49:47,213
Speaker 17: Yeah, we do.

2268
01:49:47,772 --> 01:49:51,892
Speaker 28: We do that because my husband rides motorbikes and when

2269
01:49:51,933 --> 01:49:54,372
Speaker 28: he goes out for a ride, he might say I'll

2270
01:49:54,372 --> 01:49:58,973
Speaker 28: be back at five okay, And we've forgotten occasionally to

2271
01:49:59,053 --> 01:50:02,452
Speaker 28: ask where are you going? And it just means that

2272
01:50:03,253 --> 01:50:06,372
Speaker 28: he can take left or right go out to where

2273
01:50:06,412 --> 01:50:10,213
Speaker 28: Why can I think that's carfil Raglan and I just

2274
01:50:10,333 --> 01:50:13,093
Speaker 28: know that that's kind of where he is. We find

2275
01:50:13,133 --> 01:50:14,972
Speaker 28: it really really good, and he didn't have to keep

2276
01:50:15,013 --> 01:50:16,812
Speaker 28: reporting back in that he's going to go and have

2277
01:50:16,853 --> 01:50:19,972
Speaker 28: a look at a different road or different site.

2278
01:50:20,293 --> 01:50:24,053
Speaker 2: Yeah, so you're going sorry, Tyler, But have you ever

2279
01:50:24,133 --> 01:50:28,532
Speaker 2: checked up on him outside of the motorcycling Yeah, we

2280
01:50:28,612 --> 01:50:29,053
Speaker 2: will do that.

2281
01:50:29,133 --> 01:50:31,852
Speaker 28: Ever done again the fee if like he's going to

2282
01:50:31,853 --> 01:50:34,492
Speaker 28: be home at sex and it's called a past of

2283
01:50:34,652 --> 01:50:37,692
Speaker 28: this check and looks like he's called in traffic or whatever.

2284
01:50:37,973 --> 01:50:39,133
Speaker 12: I just find it really good.

2285
01:50:39,572 --> 01:50:42,052
Speaker 28: He'll do the same for me as Welph. We don't

2286
01:50:42,133 --> 01:50:45,253
Speaker 28: check each other on the daily or anything. It's just

2287
01:50:45,372 --> 01:50:48,692
Speaker 28: if we're outside of our usual times that were to

2288
01:50:48,772 --> 01:50:50,692
Speaker 28: arrive home or arrive at work.

2289
01:50:51,372 --> 01:50:54,412
Speaker 2: So for you, it's one hundred percent. It's not a

2290
01:50:54,452 --> 01:50:57,573
Speaker 2: trust issue, it's a one percent safety issue.

2291
01:50:58,053 --> 01:51:01,372
Speaker 28: Yeah, we never used it. The only time we did

2292
01:51:01,772 --> 01:51:05,532
Speaker 28: was when when exactly what happened, he took up from

2293
01:51:05,532 --> 01:51:07,892
Speaker 28: the motorbike s he'll be home at sex and then

2294
01:51:07,933 --> 01:51:10,612
Speaker 28: I thought to myself, I didn't even ask him where

2295
01:51:10,652 --> 01:51:12,892
Speaker 28: he was going, and he didn't say anything to me,

2296
01:51:12,933 --> 01:51:16,333
Speaker 28: and we thought, let's just just in case those conversations

2297
01:51:16,333 --> 01:51:18,732
Speaker 28: don't happen, let's just get the three sixteen. It works

2298
01:51:18,772 --> 01:51:19,452
Speaker 28: really well for us.

2299
01:51:20,133 --> 01:51:22,612
Speaker 3: Was there any debate, any debate about it, Kim, when

2300
01:51:22,652 --> 01:51:24,972
Speaker 3: you suggested that, hey, we should download this up because

2301
01:51:24,973 --> 01:51:26,932
Speaker 3: I'm worried about you going out on your motorbike if

2302
01:51:26,933 --> 01:51:31,372
Speaker 3: something happens. Was he any apprehension from him, No, not

2303
01:51:31,452 --> 01:51:31,812
Speaker 3: at all.

2304
01:51:31,893 --> 01:51:34,253
Speaker 28: He was like, actually, that's really good because it just

2305
01:51:34,372 --> 01:51:37,053
Speaker 28: means and as horrible as it sounds, but it is

2306
01:51:37,093 --> 01:51:39,492
Speaker 28: a motorbike. But if like, if he's a bit late

2307
01:51:39,612 --> 01:51:43,092
Speaker 28: and I see that he's been not this has ever happened,

2308
01:51:43,133 --> 01:51:45,772
Speaker 28: But I've saying that you know that he's got his

2309
01:51:45,893 --> 01:51:49,732
Speaker 28: bike's been in a place for twenty minutes. Say, I'd

2310
01:51:49,732 --> 01:51:52,532
Speaker 28: be like, okay, that's not good, and I'd probably try

2311
01:51:52,532 --> 01:51:55,133
Speaker 28: and wring him, or I would ring you know, an

2312
01:51:55,173 --> 01:51:58,972
Speaker 28: ambulance or whatever, because if he didn't answer, I to think, Okay,

2313
01:51:59,013 --> 01:52:03,492
Speaker 28: that's not that's not good. There's been stationary, you know,

2314
01:52:03,853 --> 01:52:05,572
Speaker 28: how one or something for twenty minutes.

2315
01:52:05,893 --> 01:52:07,492
Speaker 2: Come do you have kids?

2316
01:52:08,652 --> 01:52:08,892
Speaker 17: Yep?

2317
01:52:08,973 --> 01:52:09,492
Speaker 15: Don't yep?

2318
01:52:09,612 --> 01:52:12,212
Speaker 2: And then are you tracking them on the Life three sixties?

2319
01:52:13,893 --> 01:52:16,412
Speaker 2: You're not taking that's something. So you're tracking your husband

2320
01:52:17,213 --> 01:52:19,372
Speaker 2: for safety, but not your kids. How old are your kids?

2321
01:52:19,412 --> 01:52:30,372
Speaker 29: If you don't mind me asking, they're all right?

2322
01:52:31,253 --> 01:52:33,092
Speaker 2: You don't sound like you've got kids in your thirties.

2323
01:52:33,093 --> 01:52:34,093
Speaker 3: Now, you sound very young.

2324
01:52:34,173 --> 01:52:35,492
Speaker 2: I thought you I thought you were going to say

2325
01:52:35,492 --> 01:52:36,532
Speaker 2: there's six and eight or.

2326
01:52:38,692 --> 01:52:38,732
Speaker 8: No.

2327
01:52:39,253 --> 01:52:42,092
Speaker 28: Look, look, look I'm going to totally listen to you guys.

2328
01:52:42,572 --> 01:52:47,812
Speaker 3: Now, thank you very much, KIV, You're great. Jane, how

2329
01:52:47,853 --> 01:52:48,732
Speaker 3: are you this afternoon?

2330
01:52:49,812 --> 01:52:50,052
Speaker 30: Good?

2331
01:52:50,093 --> 01:52:50,452
Speaker 10: Thank you?

2332
01:52:50,492 --> 01:52:53,413
Speaker 3: How are you good? Now you've got a different perspective

2333
01:52:53,452 --> 01:52:53,652
Speaker 3: on this.

2334
01:52:54,973 --> 01:52:59,172
Speaker 30: Yeah, So I had my phone tracking my partner's phone,

2335
01:52:59,973 --> 01:53:02,532
Speaker 30: and I know I've just been listening and I hear

2336
01:53:03,173 --> 01:53:06,612
Speaker 30: that you guys think that sometimes it can come from

2337
01:53:06,652 --> 01:53:11,492
Speaker 30: a space of insecurity. But I discovered you to do

2338
01:53:11,572 --> 01:53:15,253
Speaker 30: that with Apple Phone when I came over from Samsung

2339
01:53:15,652 --> 01:53:18,412
Speaker 30: and I'd had my baby and suffered really badly with

2340
01:53:18,492 --> 01:53:24,012
Speaker 30: postnatal depression, and he would go to work and the

2341
01:53:24,013 --> 01:53:28,412
Speaker 30: next eight hours were excruciating my mental health. So I

2342
01:53:28,412 --> 01:53:32,012
Speaker 30: would look on my phone and see that he was there,

2343
01:53:32,372 --> 01:53:35,772
Speaker 30: basically existing in the world. And then I would look

2344
01:53:35,812 --> 01:53:38,972
Speaker 30: at my phone and see when he would leave work,

2345
01:53:39,093 --> 01:53:41,492
Speaker 30: and it would give me this massive sense of relief

2346
01:53:42,093 --> 01:53:44,253
Speaker 30: that my partner was coming home, and I would count

2347
01:53:44,293 --> 01:53:47,053
Speaker 30: the minutes down. So it was almost like it might

2348
01:53:47,213 --> 01:53:50,892
Speaker 30: not seem very healthy from a perspective of, you know,

2349
01:53:50,933 --> 01:53:54,012
Speaker 30: really meeting somebody, but it gave me that. It got

2350
01:53:54,013 --> 01:53:56,492
Speaker 30: me through the day knowing that I could count down

2351
01:53:56,492 --> 01:53:58,333
Speaker 30: and literally watch him drive home.

2352
01:53:58,933 --> 01:54:00,492
Speaker 2: So Jada was kind of like it was kind of

2353
01:54:00,572 --> 01:54:03,133
Speaker 2: like a connection thing. So you're sitting at home, you know,

2354
01:54:03,412 --> 01:54:05,492
Speaker 2: you're going through a rough stage, and you could just

2355
01:54:05,492 --> 01:54:09,133
Speaker 2: look in and you go, there he is. This is

2356
01:54:09,173 --> 01:54:12,532
Speaker 2: a little beacon of him out there. You know, I

2357
01:54:12,572 --> 01:54:15,173
Speaker 2: can see that, but he knew that you were you

2358
01:54:15,492 --> 01:54:17,253
Speaker 2: could see him. Was that right?

2359
01:54:17,612 --> 01:54:22,492
Speaker 30: I absolutely respect people's privacy. So I asked him, look,

2360
01:54:22,652 --> 01:54:26,093
Speaker 30: is it okay if I can do this because it

2361
01:54:26,133 --> 01:54:29,612
Speaker 30: helps me just get through the day. And he was like, yeah,

2362
01:54:29,692 --> 01:54:33,013
Speaker 30: that's probaly fine. And he was like, you won't mean

2363
01:54:33,333 --> 01:54:35,613
Speaker 30: like anything interesting, so I literally just go and work,

2364
01:54:35,653 --> 01:54:38,493
Speaker 30: but whatever, Like, if it helps you, then that's fine.

2365
01:54:40,373 --> 01:54:42,693
Speaker 2: That's a very unique circumstance. And it's very hard for

2366
01:54:42,733 --> 01:54:45,213
Speaker 2: me to judge that one because if you were going

2367
01:54:45,253 --> 01:54:47,173
Speaker 2: through it, you're going through a difficult time and that

2368
01:54:47,293 --> 01:54:51,053
Speaker 2: was giving you, you know, comfort and solace, then then

2369
01:54:51,213 --> 01:54:54,972
Speaker 2: then then fantastic and sounds like yeah, and.

2370
01:54:54,973 --> 01:54:57,973
Speaker 3: Peace of mind for your partner as well, Jane, I imagine.

2371
01:54:58,373 --> 01:55:01,413
Speaker 30: Yeah, absolutely for him as well. Yeah, because that's in

2372
01:55:01,493 --> 01:55:03,733
Speaker 30: a bad space, so he was able just to check

2373
01:55:03,812 --> 01:55:05,852
Speaker 30: in on there as well. I kind of put another

2374
01:55:05,933 --> 01:55:09,892
Speaker 30: that I'll just put another situation. And my sister is

2375
01:55:10,173 --> 01:55:14,213
Speaker 30: a I don't even know what to call it, as

2376
01:55:14,333 --> 01:55:16,693
Speaker 30: she travels all around the world and there'll be so

2377
01:55:16,733 --> 01:55:19,812
Speaker 30: many occasions where I can't actually talk to her, but

2378
01:55:19,933 --> 01:55:22,493
Speaker 30: I kind of go onto that Apple map and see

2379
01:55:22,493 --> 01:55:24,892
Speaker 30: what country she's done, and it's kind of cool. I'm like, oh,

2380
01:55:24,973 --> 01:55:29,373
Speaker 30: she's in South America today, so it's fun to track

2381
01:55:29,453 --> 01:55:31,852
Speaker 30: her as well in that way, So it's mainly like.

2382
01:55:31,812 --> 01:55:33,613
Speaker 10: A connection thing when you're isolated.

2383
01:55:33,973 --> 01:55:34,293
Speaker 13: Mind.

2384
01:55:34,533 --> 01:55:37,093
Speaker 2: Yeah, oh well, thank you so much for you called Jane.

2385
01:55:37,653 --> 01:55:40,493
Speaker 3: Yeah, so, I mean you can't argue with that, absolutely,

2386
01:55:40,493 --> 01:55:42,972
Speaker 3: and that's kind of lovely actually. I mean, well, Jane

2387
01:55:43,013 --> 01:55:44,733
Speaker 3: was going through a tough time, but the fact that

2388
01:55:44,853 --> 01:55:47,573
Speaker 3: she got excited when her husband was coming home, absolutely,

2389
01:55:47,653 --> 01:55:52,052
Speaker 3: that's a beautiful use of this technology, no doubt about it. Yeah.

2390
01:55:52,173 --> 01:55:55,133
Speaker 2: I mean it's complicated. It's a complicated issue that one,

2391
01:55:55,133 --> 01:55:57,453
Speaker 2: and you'd hope you'd get to the point where you

2392
01:55:57,613 --> 01:56:02,093
Speaker 2: were happy. Yeah. Yeah, I mean if you're feeling very

2393
01:56:02,093 --> 01:56:03,733
Speaker 2: happy and confident in your life, you probably wouldn't. But

2394
01:56:03,973 --> 01:56:06,413
Speaker 2: it was helpful for her, So definitely cannot judge it.

2395
01:56:06,453 --> 01:56:10,092
Speaker 2: But you've got a bunch of really interesting circumstances coming

2396
01:56:10,093 --> 01:56:11,293
Speaker 2: through here that will try and unpack.

2397
01:56:11,373 --> 01:56:11,453
Speaker 19: Now.

2398
01:56:11,573 --> 01:56:15,613
Speaker 3: Yeah, absolutely, we love it. It is seven or four, the.

2399
01:56:15,653 --> 01:56:19,613
Speaker 1: Big stories, the big issues, the big trends, and everything

2400
01:56:19,653 --> 01:56:23,333
Speaker 1: in between. Matt and Tyler Afternoons with the Volvo XC

2401
01:56:23,453 --> 01:56:26,293
Speaker 1: ninety attention to detail and a commitment to comfort.

2402
01:56:26,373 --> 01:56:29,773
Speaker 8: News Dogs EDB on News Dogs.

2403
01:56:29,493 --> 01:56:33,173
Speaker 2: EDB so a bunch of texts coming through on this

2404
01:56:33,493 --> 01:56:37,133
Speaker 2: situation of treking your family. This person said, yeah, I

2405
01:56:37,213 --> 01:56:38,933
Speaker 2: tecked my wife and I found she was cheating on me,

2406
01:56:39,213 --> 01:56:39,772
Speaker 2: So there you go.

2407
01:56:39,933 --> 01:56:42,493
Speaker 3: Well there we go again, Yeah, networks kind of.

2408
01:56:42,772 --> 01:56:45,533
Speaker 2: We have three generations on Life three sixty, age twenty

2409
01:56:45,573 --> 01:56:47,892
Speaker 2: two to eighty four. Like the lady and her husband

2410
01:56:47,893 --> 01:56:49,892
Speaker 2: on the motorbike. We don't check on each other, but

2411
01:56:50,013 --> 01:56:53,892
Speaker 2: it's great peace of mind. Hi, guys, my daughter went

2412
01:56:53,933 --> 01:56:55,772
Speaker 2: to a Tuger university last year. She asked if I

2413
01:56:55,812 --> 01:56:58,013
Speaker 2: wanted to join Life three sixty. She wanted me to

2414
01:56:58,013 --> 01:57:01,133
Speaker 2: track her for her own safety. That's interesting. Hi, Matt

2415
01:57:01,133 --> 01:57:03,653
Speaker 2: and Tyler love the show as always. Thank you. My

2416
01:57:03,733 --> 01:57:06,453
Speaker 2: wife and I track our kids twelve and fourteen. I

2417
01:57:06,453 --> 01:57:08,812
Speaker 2: think it's a great call as safety measure. We're not

2418
01:57:08,893 --> 01:57:10,733
Speaker 2: highly couple of parents, but it's nice to be able

2419
01:57:10,772 --> 01:57:13,653
Speaker 2: to check that they're where they say they are. And

2420
01:57:13,772 --> 01:57:17,253
Speaker 2: this person says, when you're tracking your kids, at what

2421
01:57:17,333 --> 01:57:19,812
Speaker 2: age do you stop? Yeah, well, eighteen would be a

2422
01:57:19,812 --> 01:57:21,453
Speaker 2: good age to stop, but I think you should ask

2423
01:57:21,493 --> 01:57:22,812
Speaker 2: them no matter what our age they are so they

2424
01:57:22,853 --> 01:57:23,693
Speaker 2: know they're being tracked.

2425
01:57:23,733 --> 01:57:26,892
Speaker 3: Great debate. We'll catch you tomorrow for more.

2426
01:57:26,933 --> 01:57:30,333
Speaker 1: From News Talks at b Listen live on air or online,

2427
01:57:30,373 --> 01:57:32,772
Speaker 1: and keep our shows with you wherever you go with

2428
01:57:32,853 --> 01:57:34,813
Speaker 1: our podcasts on iHeartRadio