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

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

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Speaker 2: Hello you, Great New Zealands. Welcome to Matt and Tyler

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Speaker 2: Full Show, Podcast number two, forty fourth Tuesday, the eleventh

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Speaker 2: of number twenty twenty five. Deep conversation about billionaires. We

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Speaker 2: went philosophical hard and then we somehow just descended into

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Speaker 2: a listing animals that people head on the farms, like

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Speaker 2: some kind of Noah's Ark situation.

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Speaker 3: Yeah, very enjoyable.

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Speaker 2: But I enjoyed it. I enjoyed it all, and I

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Speaker 2: hope you do too.

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Speaker 3: Great show. Download, subscribe and give us a review. Please

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Speaker 3: and give a taste.

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Speaker 2: Keep me from us all right? Then you seen busy?

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Speaker 2: Listen to the podcast? Okay, then bye bye, Love.

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Speaker 1: You the big stories, the big issues, the big trends

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Speaker 1: and everything in between. Matt Heath and Tyler Adams Afternoons

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Speaker 1: News Talk sed B.

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Speaker 3: Kid Ey, you welcome into Tuesday show. Really good of

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Speaker 3: your company is always hope you're having a pretty good

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Speaker 3: day if you're listening in this beautiful country of ours.

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Speaker 2: Can I Matt again A Tyler got a great New Zealanders.

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Speaker 2: I'm a ranked with racked with anxiet at the moment right,

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Speaker 2: absolutely rap with anxiety because I'm running the Queenstown Marathon

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Speaker 2: on Saturday. That's bag yep, So that's forty two k,

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Speaker 2: and I've been moving house. I've been involved in this

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Speaker 2: other secret endeavor and I've and I've failed to be

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Speaker 2: doing the requisite training.

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Speaker 3: I can see why you know that anxiety is starting

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Speaker 3: to build because you've dedicated a lot of this year

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Speaker 3: to training for this particular marathon.

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Speaker 2: And I had to schedule building up to the marathon

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Speaker 2: where I was doing longer and longer runs. I did

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Speaker 2: some half marathons, but this weekend I was supposed to

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Speaker 2: do my final thirty five k run, right and I

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Speaker 2: couldn't because I was moving house.

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Speaker 3: Yep.

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Speaker 2: So in fact I haven't hadn't. I haven't really done

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Speaker 2: a run in about two weeks.

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Speaker 3: You've had a lot going on. But as we talked

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Speaker 3: about last night, mate, maybe this will play into your advantage.

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Speaker 3: I know nothing about running, so anyone who knows anything

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Speaker 3: about running, they'll probably say shut up, Tyler, but maybe

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Speaker 3: give you legs a break for two weeks might actually

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Speaker 3: play playing to what you're doing here.

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Speaker 2: Has there any running expects out there nine two nine two.

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Speaker 2: Is that a good idea to just, due to a

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Speaker 2: life precious give up your training right at the last

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Speaker 2: hurdle before the marathon?

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Speaker 3: Yeah?

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Speaker 2: Come on, because I could have rolled an ankle or something.

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Speaker 3: Yep.

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Speaker 2: True. Maybe this will be the making of me.

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Speaker 3: That does happen quite a bit. I think for runners, one.

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Speaker 2: Thing's for sure. My legs will have to fall off

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Speaker 2: before I don't finish this marathon.

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Speaker 4: Yep.

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Speaker 2: I'm just going to keep going and going. Hopefully there's

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Speaker 2: not a Paula Redcliffe situation. But apart from that, nothing's

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Speaker 2: going to stop me.

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Speaker 3: You've registered under your your actual name, haven't you.

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Speaker 2: Yep? Someone says, who cares? Matt, what a horrible thing

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Speaker 2: to text?

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Speaker 3: Come you?

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Speaker 2: Text of that ends in five seven two. You are

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Speaker 2: a better person that you don't even care that someone's

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Speaker 2: just sharing their life story around running a marathon on

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Speaker 2: the weekend. Who cares?

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Speaker 3: Secretly?

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Speaker 2: You sad? Sad, small small person.

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Speaker 3: Well, secretly they do care quite a bit, because they

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Speaker 3: care enough to text that through and they're listening to

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Speaker 3: our show. So you know you can say you don't care.

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Speaker 3: You know you you love this.

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Speaker 2: I'm going to be thinking about the small minded, sad

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Speaker 2: person when I'm running as I achieved great things, like

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Speaker 2: I'll be thinking about how pathetic that texture is on

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Speaker 2: seven too, is man? You Come on, mate, you all

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Speaker 2: care about what other people are up to. We enjoy

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Speaker 2: the stories of other people's lives.

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Speaker 3: Just be a bit nicer. Come on, it's only Tuesday,

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Speaker 3: for goodness sake. Good luck to your mate. We'll be

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Speaker 3: watching you well and looking forward to following you on.

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Speaker 3: I'm pretty sure I can just log onto the website

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Speaker 3: and drink it.

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Speaker 2: It's going to be slow, it's gonna be good, mate,

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Speaker 2: Like there's no I'll just be sitting on the couch

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Speaker 2: eating some popcorn watching you go.

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Speaker 3: So I've got no moral stancey to say, you know,

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Speaker 3: go about faster, Matt. But good on your.

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Speaker 2: Matt says you've done the work. Two weeks won't make

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Speaker 2: any difference, Thanks Matt. I appreciate that you left the

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Speaker 2: thirty five k way too late. This should have been

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Speaker 2: done six weeks ago. Break it down to four time

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Speaker 2: ten k. You will be fine. Sis Martin, thank you

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Speaker 2: so much that you two.

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Speaker 3: It's a positivity.

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Speaker 2: You're better humans than the person that said who cares mat.

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Speaker 3: Yeah, you know, come on, do better, come be better?

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Speaker 2: Yes, all right, if you are tracking me, you'll probably

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Speaker 2: be watching.

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Speaker 5: You'll go.

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Speaker 2: I think he stopped. I think he's.

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Speaker 3: Going backwards for some reason. Oh he's coming fifty k

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Speaker 3: Is he jupped in a Texi or something.

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Speaker 2: He's been involved in a Paula Redcliffe.

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Speaker 3: Yeah, looking forward to seeing how you go, mate. Right

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Speaker 3: on to today's show after three o'clock. This is a

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Speaker 3: great story. Totung is oldest wildlife park is at the

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Speaker 3: market for sale and it comes with hundreds of cute

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Speaker 3: and cuddly animals. This is Marshaland's Animal park near McLean

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Speaker 3: Falls that was launched thirty five years ago. Now the

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Speaker 3: owner's sons were the original founder's sons, Terry. He has

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Speaker 3: put it up for sale with around two hundred and

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Speaker 3: eighty animals. This includes guinea pigs, real pigs, calves, sheep, deer,

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Speaker 3: giant African ostriches, texas, long hoards, clydestale horses. The list

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Speaker 3: goes on. So whoever takes us on, you're a brave,

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Speaker 3: brave people.

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Speaker 2: Yeah, it seems stressful to me, and I think there

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Speaker 2: is a Matt Damon movie with the same plot going

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Speaker 2: on there. We brought a zoo. I think it's cool.

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Speaker 3: That's right, it's a good movie.

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Speaker 2: But yeah, let's talk later about you know, have you

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Speaker 2: taken on an interesting business? Maybe not a zoo because

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Speaker 2: he's not too many of them, but up for sale,

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Speaker 2: but I know a theme park of tourist attraction, you know,

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Speaker 2: something interesting.

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Speaker 3: Yeah, looking forward to that after three o'clock. After two o'clock,

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Speaker 3: a great story about criminal records and how that can

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Speaker 3: shadow many people for life in this country. So it

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Speaker 3: was a story of a gentleman called Richard, didn't use

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Speaker 3: his last name, but he landed himself quite a great

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Speaker 3: position as a sales representative. This was in October this year,

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Speaker 3: as an employment contract was signed. It was all looking good.

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Speaker 3: He was making friends with the colleagues. He got a

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Speaker 3: Yuke to drive home, but the next day called into

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Speaker 3: a meeting, stood down immediately and sent home in a taxi.

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Speaker 3: And the reason for that is his voluntary criminal record

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Speaker 3: check and only just landed in the manager's inbox, and

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Speaker 3: despite decades having passed since he broke the law, he

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Speaker 3: was let go. So it'd actually done prison time thirty

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Speaker 3: years ago. But as he said, I paid for my

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Speaker 3: crimes over thirty years ago, but this week I paid again.

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Speaker 2: Yeah, I'm with him thirty years Come on, you know,

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Speaker 2: clean slate up to three decades since you did the crime.

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Speaker 2: You're a totally different human being, you know. So we

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Speaker 2: want to talk about you know, have you employed someone

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Speaker 2: who's done time or have you been employed after doing time?

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Speaker 2: Because yeah, if we never give people a second chance,

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Speaker 2: how do they become productive members of society?

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Speaker 3: Yeah, looking forward to that. Just before we get to

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Speaker 3: this topic, there was a nice text here from Craig.

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Speaker 3: Get a Matt. I'll sink a beer for every kilometer

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Speaker 3: you complete up to you, Matt's if I get pissed

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Speaker 3: or off. So that's very generous of you, Craig. That

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Speaker 3: is good motivation. I know I'm not forty two beers.

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Speaker 3: I have the weight of Craig's health. Yeah on me.

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Speaker 3: That is a great off of Craig. Thank you very much.

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Speaker 2: Someone here says, Matt, I've seen you. You have long

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Speaker 2: torso and short legs syndrome. Does that mean you're going

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Speaker 2: to be doing more steps than the average runner. That's true.

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Speaker 2: I do have a long torso compared to my legs.

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Speaker 3: I have noticed that.

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Speaker 2: Yeah, yeah, no, look, there's so much support coming through.

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Speaker 2: Good on you. Yeah, we should easily bring this up

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Speaker 2: as a topic a little bit later on pushing mind

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Speaker 2: over matter easy money.

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Speaker 3: Yeah, nice, keep that motivation coming through.

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Speaker 2: This is good from Mike shredded m muscle fibers still

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Speaker 2: haven't fully healed. If you train too close to the

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Speaker 2: main event, your legs will be fully loaded and healing,

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Speaker 2: and your fat cells will be full of energy.

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Speaker 3: Nice. See it's all looking good. You're feeling better already.

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Speaker 2: Yeah, all right, all right, I'm older than you and

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Speaker 2: I did it. It can with no training at all.

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Speaker 3: Yeah, got on that tex stuff. Yeah, well done. Right,

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Speaker 3: let's get into this one because we've already had a

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Speaker 3: whole bunch of texts about it. But there's been a

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Speaker 3: whole bunch of pushback against billionaires, certainly over the last

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Speaker 3: couple of years, but it's ramped up in recent months.

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Speaker 3: The newly elected New York mayor Zoran men Dami, he

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Speaker 3: said not long after his election, I don't think we

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Speaker 3: should have billionaires full stop. In Billie Eilish, very famous musician, singer, songwriter. Actually,

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Speaker 3: as you mentioned before, her brother writes the songs, but

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Speaker 3: very talented. She said at a function, I quote, I

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Speaker 3: love you all, but there's a few people in here

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Speaker 3: that have a lot of money, a lot more money

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Speaker 3: than me. If you're a billionaire, why are your billionaire?

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Speaker 3: No hate, but you give your money away, shorties was

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Speaker 3: the quote. Closer to home. The Green Party in Chloe

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Speaker 3: Swarbrough have obviously made no secret that they would desire

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Speaker 3: or love a wealth tech attacks and that billionaires, anyone

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Speaker 3: who reaches a billion dollars should be made to give

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Speaker 3: back a whole bunch of their money. So it's going

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Speaker 3: to be a good chat.

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Speaker 2: Yeah, it's an interesting one, isn't it, Because the assumption

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Speaker 2: is if someone else has got the money, then you

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Speaker 2: should have it instead of them. But those who hate

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Speaker 2: billionaires say, and you know, in a world of supposedly

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Speaker 2: finite resources, that the concentration of resources on one person

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Speaker 2: is unfair, particularly when some are poor. They think that

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Speaker 2: their billionaires have undue influence because of their wealth. And

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Speaker 2: you know, there's accusations that they don't follow the law

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Speaker 2: the same way as US US plebs have to. But

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Speaker 2: those who love them, you know, they point out that

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Speaker 2: they spare in headation job creation. You know, to be

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Speaker 2: a billionaire, you generally have to have a whole lot

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Speaker 2: of people that have also got wealthy on the way

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Speaker 2: through and businesses and and you know, life changing opportunities

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Speaker 2: for hundreds of thousands of people.

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Speaker 6: You know.

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Speaker 2: The other argument for them is they're shining light of ambition,

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Speaker 2: showing what humans can do, what the possibilities. And also

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Speaker 2: another thing that people like about billionaires, if they do

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Speaker 2: like them, is that they can allocate money towards things

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Speaker 2: very directly. Unlike governments that have to have policies and

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Speaker 2: discussions and all that kind of stuff. You know, they

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Speaker 2: can just throw money at a startup they like and

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Speaker 2: get things going. Sports teams, oh my goodness, I love

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Speaker 2: a sports team.

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Speaker 3: Billionaires.

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Speaker 2: Billionaires love a sports team. And what a billionaire can

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Speaker 2: do to a town by building a stadium and supporting

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Speaker 2: a sports team, and how it can bring a whole

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Speaker 2: community together, that is quite something, you know, and not

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Speaker 2: to mention there philanthropy, that they're billionaire is so.

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Speaker 3: But what do you reckon? Should there be billionaires one

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Speaker 3: hundred and eighty ten eighty come on through nine to nine?

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Speaker 3: Who is that text number? The phones are lighting up?

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Speaker 3: But love to hear your thoughts back in the moment

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Speaker 3: is sixteen past one.

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Speaker 2: And thank you for all your lovely support about my run. Okay, yeah,

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Speaker 2: all right.

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Speaker 3: If you want to send about a hate through as well, yeah.

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Speaker 2: Absolutely welcome. Yeah, I mean, and as you say, there

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Speaker 2: is a reasonable chance of a Paula Redcliff.

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

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Speaker 1: and everything in between. Matt Heath and Tyler Adams afternoons

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Speaker 1: used talks.

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Speaker 3: They'd be very good afternoon, Jet. It's nineteen past one, Matt.

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Speaker 2: What's a Paula red Cliff? Don't look it up? Okay.

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Speaker 3: Anyway, we're talking about billionaires. Yes, we are talking about billionaires.

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Speaker 3: There's been a lot of pushback about the idea of

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Speaker 3: billionaires in general. So the question we've asked you is

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Speaker 3: should they exist full stop? Or are they good for society?

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Speaker 7: Oh?

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Speaker 3: One hundred and eighty ten eighty is that number to call? Stan?

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Speaker 3: How are you.

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Speaker 2: Your thoughts on billionaires and the calls that they should

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Speaker 2: not exist?

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Speaker 4: Yeah?

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Speaker 8: Gooday, boys.

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Speaker 2: You okay, yep, we can hear you loud and clear.

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Speaker 8: Stand Okay, yeah, no, I just think it's quite the

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Speaker 8: critical of the left to sort of poke the boy

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Speaker 8: ax at billionaires. When billionaires fund some of the a

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Speaker 8: lot of their causes. I'm thinking of people like George Soros,

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Speaker 8: who funds a whole range of left wing enterprises political enterprises.

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Speaker 8: Also Neil Singham who's hiding away in China, who's a

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Speaker 8: big wall you'd call them a communist. I guess he

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Speaker 8: is a big funder of left wing political parties and enterprises.

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Speaker 8: So to turn around and say, oh, yeah, we've got

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Speaker 8: to get rid of these billionaires and they should give

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Speaker 8: all their money away, I think it's quite It's quite

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Speaker 8: ironic and quite laughable.

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Speaker 2: Yeah, it's interesting in the United States, isn't it? Because

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Speaker 2: the left over there they have their billionaires that they like,

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Speaker 2: and then they hustle the other side for billionaires. But

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Speaker 2: Karmala had more billionaires backing her than Trump.

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Speaker 5: Did you know?

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Speaker 2: Trump is a billionaire. But what do you think do

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Speaker 2: you think it's that you know, one of the other

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Speaker 2: complaints about billionaires, and you know, you're kind of pointing

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Speaker 2: it out, is that they have undue political influence due

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Speaker 2: to their resources.

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Speaker 8: Yeah, yeah, I mean that that cuts both left down

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Speaker 8: and right, you know, But I guess it's it's their

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Speaker 8: money they want to have. I just wish it would

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Speaker 8: be a bit more open and honest so we know

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Speaker 8: who's funding what. I sort of followed a bit on

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Speaker 8: the on the what in America, how people like Zius

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Speaker 8: they have all these cutouts and they fund this their

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Speaker 8: money through a number of NGOs and that two. I mean,

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Speaker 8: some of the things they are funding when you when

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Speaker 8: you track it all down, they're pretty not very nice.

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Speaker 8: I mean, he was a big funder of Black Lives Matter.

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Speaker 8: In fact, two of the founders who declared themselves Marxist

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Speaker 8: each have used to work for Open Society Foundation. I mean,

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Speaker 8: this is this is the kind of you know, this

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Speaker 8: kind of going on. Is that happened in America and

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Speaker 8: you know, possibly to a lesser extent here.

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Speaker 2: Do you think what about the argument that when there's

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Speaker 2: poor people, you know, people that are really really struggling,

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Speaker 2: that is somehow morally gross to have that much more

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Speaker 2: than you need, say, you know, once you've got one

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Speaker 2: hundred million dollars, two hundred million dollars, three d million dollars, whatever,

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Speaker 2: do you really need ten billion dollars? And not just

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Speaker 2: morally morally it's their money, but do you think that

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Speaker 2: there's a moral argument that that much wealth constrained on

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Speaker 2: one person is is wrong.

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Speaker 8: But I think a lot of these people don't have

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Speaker 8: a billion dollars. I mean, I doubt any of them

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Speaker 8: have a billion dollars sitting in cash.

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Speaker 4: In the bank.

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Speaker 8: Most of its assets, most of it's businesses that are

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Speaker 8: built out in shareholding in those businesses. So you know, yeah,

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Speaker 8: you could argue they could probably get more of it away.

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Speaker 3: And I think a lot of it a lot too,

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Speaker 3: don't they stand? But yeah, but just on that, is

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Speaker 3: it a fair argument that you know that old old

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Speaker 3: saying that you need money to make money, but I

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Speaker 3: think it is true. Once you reach a level of wealth,

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Speaker 3: then you have the ability to take advantage of a

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Speaker 3: system that is well set up for people with a

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Speaker 3: heck of a lot of money, arguably billionaires. Right, So,

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Speaker 3: share markets, acquiring new companies, all the other elements and

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Speaker 3: ways that they generate their wealth. Is that air a

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Speaker 3: fair criticism of that system? And perhaps that's why some

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Speaker 3: people at the lower end get aggrieved by it, because

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Speaker 3: they think the system and the deck is stacked against them.

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Speaker 8: Well, you take people like well Bill Gate, it's not

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Speaker 8: a favorite of mine, but he didn't start out with

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Speaker 8: a bundle looad of money. Most of these people, I

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Speaker 8: mean some of it's inherited, but a lot of these

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Speaker 8: are self made.

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Speaker 6: You know. And I think there's a lot of envy.

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Speaker 8: Quite honestly, a lot of people don't want to get

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Speaker 8: off their bum don't want to take chances, don't want

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Speaker 8: to risk anything, don't want to work hard, and then

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Speaker 8: they just want, oh, wealthy people should give me some money,

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Speaker 8: you know. Yeah, I mean, quite honestly, And I think

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Speaker 8: you know, if you if you don't have a reward

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Speaker 8: for your labors and a reward for your hard work

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Speaker 8: as you as you wouldn't have under under socialism, you know,

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Speaker 8: why would people be inventive? Why would people be on

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Speaker 8: trip for an aerial They just wouldn't.

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Speaker 2: Yeah, I mean, if that's definitely shown through history, and

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Speaker 2: if you go to the extreme of you know, communism,

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Speaker 2: I mean it's been proven over and over again that

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Speaker 2: that leads to innovation, you know, absolute lack of innovation,

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Speaker 2: economic collapse, and horrifically oppressive governments. But I guess we

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Speaker 2: we we want something that's you know, some people would

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Speaker 2: argue that they want something more in the in the middle,

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Speaker 2: which is probably what we do have. We do actually

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Speaker 2: have that something in the.

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Speaker 6: Middle here in New Zealand.

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Speaker 9: Yeah.

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Speaker 2: Yeah, I think to go back to one of your

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Speaker 2: points before, it is interesting because people do think, and

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Speaker 2: this whole current chat about Elon Musk becoming a trillionaire,

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Speaker 2: he's not. There's there's there's incentives if he makes it

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Speaker 2: to get that trillion dollars and that would be trillion

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Speaker 2: dollars and worth you know, and shares, et cetera, then

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Speaker 2: the amount of wealth that have been generated for other

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Speaker 2: people will be massive. It's it's a it's a crapshoot.

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Speaker 2: So I think people sometimes gets mistaken and they think

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Speaker 2: that someone has one hundred billion dollars in the bank.

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Speaker 2: But if we just take Graham Heart in New Zealand,

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Speaker 2: I wonder how much money he could just get out

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Speaker 2: from an f poss machine. It certainly wouldn't be certainly

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Speaker 2: wouldn't be his total value.

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Speaker 3: No, a lot of us.

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Speaker 2: Be a lot more than me.

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Speaker 8: Yeah, But I like you, I mean, like you say,

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Speaker 8: And the thing is, what did he start off with?

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Speaker 8: Wasn't he just a driver?

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Speaker 6: Yeah? Yeah?

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Speaker 2: Do you begrudge someone that that that because That's the

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Speaker 2: other thing is we live in these capitalist societies which

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Speaker 2: where people can break classes, they can you know, people

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Speaker 2: talk about kings. You know, Graham Hart can go from

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Speaker 2: a career driver to a king. Back in the old days,

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Speaker 2: you have to be born into being king. Yeah, you know,

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Speaker 2: not necessarily, he's not a king. He doesn't have political power.

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Speaker 2: But if you know what I'm.

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Speaker 3: Saying, yeah, to get those to the upper hierarchies of society.

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Speaker 2: That used to be only a birthright. You know, Hey,

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Speaker 2: thanks so much for your call, Stan.

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Speaker 3: Yeah, thank you very much. O under it eighty ten eighty.

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Speaker 3: What's your thoughts on this one? Should billionaires exist? Ninet

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Speaker 3: two nine two is the text number as well twenty

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Speaker 3: six past one.

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Speaker 1: The headlines and the hard questions. It's the make Hosking breakfast.

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Speaker 2: Meaning profit time again.

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Speaker 10: The number is a large net profit of two point

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Speaker 10: five three billion, which is up over twenty percent. Antonio

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Speaker 10: Watson is the AMST CEO. How comfortable are you talking

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Speaker 10: about numbers this side?

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Speaker 7: They are very big numbers, and twenty percent in the

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Speaker 7: costant living crisis is very uncomfortable. And that headline number

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Speaker 7: has caused for a whole lot of accounting noise valuing

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Speaker 7: our derivatives and the actual underlying number is four percent.

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Speaker 10: The margin is up three basis points. How do you

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Speaker 10: defend that we've.

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Speaker 7: Had to put in one point two billion dollars of

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Speaker 7: extra capital that comes at a cost to us, So

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Speaker 7: our shareholders are wearing part of the pain of the

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Speaker 7: additional capsule as well, and I think that's fair.

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Speaker 10: Back tomorrow at six am the Mike Hosking Breakfast with

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Speaker 10: Vida News Talk ZB.

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Speaker 3: Twenty nine past one. Should billionaires exist? There's a lot

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Speaker 3: been a lot of pushback against billionaires in recent times.

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Speaker 3: What do you say the sixties?

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Speaker 2: Come on, guys, Hedge fund managers have control of billions,

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Speaker 2: even trillions of dollars. They can swing markets. Whereas the

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Speaker 2: hate on these guys, why pack on the successful people.

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Speaker 2: It's a very very very good point. This personal says

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Speaker 2: China as communists and they are at the forefront of innovation.

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Speaker 2: So what's that saying about capitalism and creating innovation? Well,

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Speaker 2: is China at the forefront of innovation or are they

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Speaker 2: are the forefront of plagiarism? And also, you know, I

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Speaker 2: wonder how you'd go living under the rules that are

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Speaker 2: applied on the citizenship of China.

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Speaker 3: Yeah, when you've got more than a million people under

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Speaker 3: your thumb, you can get some stuff done, no doubt

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Speaker 3: about it.

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Speaker 2: I mean it's a dictatorship. I don't think you would

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Speaker 2: love it over there as much as you think you do.

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Speaker 2: You might not be able to ring talk back radio

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Speaker 2: and share your opinion freely. Mike, Welcome to the show.

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Speaker 6: Hi, guys, how are you today?

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Speaker 3: Very good?

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Speaker 6: Yeah, nice day here in Auckland.

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Speaker 3: Nice breeze, it is beautiful, humanly, it's lovely.

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Speaker 9: Yeah.

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Speaker 11: No, My point is, you know, we're born into this world.

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Speaker 11: There's no expectations for anything. We don't ask to be born,

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Speaker 11: so we come into this world and you know, there's

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Speaker 11: no guarantees for anything. And money has come out of

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Speaker 11: the ground for thousands a year or hundreds centuries centuries,

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Speaker 11: and that's where it's come from, mainly resources, gold and

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Speaker 11: things like that. And it's sort of like the economy

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Speaker 11: sort of like if you had a ream of paper

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Speaker 11: and you threw it down a staircase, some of that

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Speaker 11: paper is going to land in big clumps on some stairs,

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Speaker 11: and some of those bits of paper are going to

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Speaker 11: land in very small quantities on other steps. And some

438
00:20:06,813 --> 00:20:10,173
Speaker 11: people are lucky and with money and some aren't. It's

439
00:20:10,213 --> 00:20:14,253
Speaker 11: just the nature of life on earth, is how I

440
00:20:14,293 --> 00:20:18,773
Speaker 11: see it. And if just the roll of the dice

441
00:20:18,973 --> 00:20:23,173
Speaker 11: is no guarantees being born into this world. But the

442
00:20:23,213 --> 00:20:26,413
Speaker 11: thing is, if someone is lucky enough to accumulate huge

443
00:20:26,413 --> 00:20:27,813
Speaker 11: amounts of money, like I don't.

444
00:20:27,613 --> 00:20:30,533
Speaker 6: Know, the Google fluke or YouTube fluke.

445
00:20:31,333 --> 00:20:35,693
Speaker 11: Facebook fluke, well then that gives opportunities for the rest

446
00:20:35,693 --> 00:20:39,812
Speaker 11: of us to be innovative and come up with goods

447
00:20:39,853 --> 00:20:43,093
Speaker 11: and services that these billionaires are going to share some

448
00:20:43,133 --> 00:20:44,333
Speaker 11: of their money. They're not just going to give it

449
00:20:44,373 --> 00:20:47,093
Speaker 11: away willing early. That's ridiculous. But if you can come up,

450
00:20:47,133 --> 00:20:49,493
Speaker 11: say if you're an artist in a sculpture and you

451
00:20:49,573 --> 00:20:53,653
Speaker 11: sculptured art, So if you did a bronze sculpture of

452
00:20:53,733 --> 00:21:00,973
Speaker 11: Matt and Tyler sitting behind a talkback desk, yeah, and

453
00:21:01,013 --> 00:21:02,812
Speaker 11: you knocked on Bill Gates's door, and so you look

454
00:21:02,853 --> 00:21:04,853
Speaker 11: at this bronze sculpture, would you like a million dollars?

455
00:21:05,053 --> 00:21:06,293
Speaker 6: Would you like this for a million dollars?

456
00:21:06,293 --> 00:21:06,493
Speaker 2: Well?

457
00:21:06,773 --> 00:21:09,253
Speaker 11: Yeah, and this this love awesome.

458
00:21:08,933 --> 00:21:09,613
Speaker 6: And here you go.

459
00:21:10,853 --> 00:21:14,573
Speaker 11: And it's far better in my experience to earn the

460
00:21:14,613 --> 00:21:17,573
Speaker 11: money you get, no freebies and handouts, it's just dead

461
00:21:17,613 --> 00:21:20,053
Speaker 11: money that there's no satisfaction from that.

462
00:21:20,253 --> 00:21:23,293
Speaker 3: So yeah, I agree with a lot of what you're saying, Matt,

463
00:21:23,333 --> 00:21:27,173
Speaker 3: but I do because I think it's logical arguments around

464
00:21:27,213 --> 00:21:29,973
Speaker 3: people and capitalism. This is how we've got a head

465
00:21:29,973 --> 00:21:32,973
Speaker 3: of society, and people should be rewarded for the hard

466
00:21:33,013 --> 00:21:35,413
Speaker 3: work that they put into whatever whatever endeavor that they

467
00:21:35,453 --> 00:21:39,093
Speaker 3: go for. But the fact it remains that inequality is growing,

468
00:21:39,133 --> 00:21:41,533
Speaker 3: and we can argue about why that is, but then

469
00:21:41,573 --> 00:21:44,013
Speaker 3: that starts to lead to social unrest, and we can

470
00:21:44,093 --> 00:21:47,613
Speaker 3: argue about the merits of you know, people are putting

471
00:21:47,653 --> 00:21:49,773
Speaker 3: the hard work in to earn the money and the

472
00:21:49,813 --> 00:21:52,373
Speaker 3: wealth that they have, but you can't get around aside

473
00:21:52,413 --> 00:21:54,693
Speaker 3: the fact that social unrest is growing around the world

474
00:21:54,693 --> 00:21:57,373
Speaker 3: because of inequality, and that's a tough thing to try

475
00:21:57,413 --> 00:22:00,813
Speaker 3: and address right and where the targeting super wealthiest a

476
00:22:00,813 --> 00:22:02,933
Speaker 3: way to do that. I don't know if that's going

477
00:22:02,973 --> 00:22:05,853
Speaker 3: to be that successful, but that is a major concern

478
00:22:05,973 --> 00:22:09,213
Speaker 3: going forward that the more inequality grows, then the more

479
00:22:09,293 --> 00:22:12,093
Speaker 3: you have populist populist leaders coming to the fore you

480
00:22:12,133 --> 00:22:14,853
Speaker 3: have social unrest around around the world and that is,

481
00:22:14,853 --> 00:22:17,413
Speaker 3: it should be of a concern to everybody, including billionaires.

482
00:22:18,573 --> 00:22:21,613
Speaker 11: Can I say something course, yeah please, yeah, okay, okay,

483
00:22:21,733 --> 00:22:25,133
Speaker 11: this is extremely cynical. But if the government all of

484
00:22:25,173 --> 00:22:27,813
Speaker 11: a sudden decided and said, right, all the money in

485
00:22:27,813 --> 00:22:30,053
Speaker 11: New Zealand, we're going to take it all and divide it.

486
00:22:30,333 --> 00:22:32,693
Speaker 11: Every single citizen is going to get one million dollars,

487
00:22:33,493 --> 00:22:36,253
Speaker 11: then no one would turn up for work. That will

488
00:22:36,253 --> 00:22:38,093
Speaker 11: be down at the beach. There will be on their

489
00:22:38,093 --> 00:22:41,773
Speaker 11: boats fishing and things. So unfortunately, that's just the nature

490
00:22:41,813 --> 00:22:44,133
Speaker 11: of how the economy works, I'm sorry to say in

491
00:22:44,173 --> 00:22:44,773
Speaker 11: my opinion.

492
00:22:45,853 --> 00:22:48,293
Speaker 3: Yeah, no, fair enough to Mike. Great to get you

493
00:22:48,333 --> 00:22:50,292
Speaker 3: on mate, nicely articulated.

494
00:22:51,133 --> 00:22:53,333
Speaker 2: I think there's something you know in the in the

495
00:22:53,333 --> 00:22:56,453
Speaker 2: point you know, the human species, which is us, our species.

496
00:22:57,013 --> 00:22:59,413
Speaker 2: Are we all supposed to just just grind on all

497
00:22:59,453 --> 00:23:01,853
Speaker 2: on the same level, with the same level of output,

498
00:23:01,933 --> 00:23:05,093
Speaker 2: or do we want to take bag bag bag giant

499
00:23:05,133 --> 00:23:08,133
Speaker 2: steps forward every now and then do things that know

500
00:23:08,853 --> 00:23:11,853
Speaker 2: run of the human milk, human will do you know,

501
00:23:12,253 --> 00:23:15,133
Speaker 2: you know, as Michael saying, those works of arts commissioned

502
00:23:15,133 --> 00:23:20,572
Speaker 2: by the super rich, the innovations made by those that

503
00:23:20,613 --> 00:23:24,213
Speaker 2: are sort of striving for astronomical success. You know, should

504
00:23:24,213 --> 00:23:28,093
Speaker 2: you not be rewarded for changing the world. There's kind

505
00:23:28,133 --> 00:23:29,973
Speaker 2: of a view that we all should be on the

506
00:23:29,973 --> 00:23:34,253
Speaker 2: same level. It sort of comes back to that, you know,

507
00:23:34,333 --> 00:23:37,133
Speaker 2: what is it comparison is the thief of joy? So,

508
00:23:37,973 --> 00:23:39,613
Speaker 2: you know, should we all just be able to look

509
00:23:39,613 --> 00:23:42,293
Speaker 2: at each other and go, this person's the same because

510
00:23:42,573 --> 00:23:45,693
Speaker 2: because actually it's kind of hypocritical in New Zealand, because

511
00:23:46,133 --> 00:23:49,013
Speaker 2: for most of us looking at you, Tyler, you know,

512
00:23:49,053 --> 00:23:51,173
Speaker 2: someone could hassle a billionaire. You could sit there, haressling

513
00:23:51,173 --> 00:23:54,133
Speaker 2: a billionaire. But there's so many millions and millions and

514
00:23:54,133 --> 00:23:55,653
Speaker 2: millions of people in the world that would look at

515
00:23:55,693 --> 00:23:57,413
Speaker 2: your life and say that you've got too much and

516
00:23:57,453 --> 00:24:00,893
Speaker 2: you're too very true effluent, and there may be you

517
00:24:00,973 --> 00:24:04,733
Speaker 2: may be closer to a billionaire then a lot of

518
00:24:04,773 --> 00:24:06,613
Speaker 2: the poor people in this world are to you.

519
00:24:06,853 --> 00:24:09,053
Speaker 3: I'm a one percentage A lot of peop will, no

520
00:24:09,093 --> 00:24:11,573
Speaker 3: doubt about it. But you're right. Fortune favors the brave,

521
00:24:11,653 --> 00:24:13,493
Speaker 3: and people laughed at Elon Musk when he said he

522
00:24:13,533 --> 00:24:15,133
Speaker 3: was what he was going to do, and Bezos and

523
00:24:15,133 --> 00:24:17,453
Speaker 3: everybody else. So that's a very fair point, right. We've

524
00:24:17,453 --> 00:24:19,413
Speaker 3: got the headlines hot on our tails, but can you

525
00:24:19,453 --> 00:24:21,093
Speaker 3: get your views of eight hundred and eighty ten eighty

526
00:24:21,133 --> 00:24:21,813
Speaker 3: is that number.

527
00:24:21,573 --> 00:24:21,893
Speaker 12: To call.

528
00:24:24,093 --> 00:24:24,693
Speaker 1: Youth talks?

529
00:24:24,733 --> 00:24:28,453
Speaker 13: It'd be headlines with blue bubble taxis. It's no trouble

530
00:24:28,493 --> 00:24:33,573
Speaker 13: with a blue bubble. Cannabis, meth amphetamine MDMA and cocaine

531
00:24:33,893 --> 00:24:38,093
Speaker 13: will be screened and police roadside saliva tests from December

532
00:24:38,453 --> 00:24:40,253
Speaker 13: allowed under new legislation.

533
00:24:40,773 --> 00:24:42,933
Speaker 2: Roll Art will begin in the Wellington district.

534
00:24:43,773 --> 00:24:47,493
Speaker 13: Active Minister Nicole McKee says her Arms Act rewrite strikes

535
00:24:47,533 --> 00:24:51,573
Speaker 13: the right balance, easing up on licensed firearms owners but

536
00:24:51,853 --> 00:24:56,173
Speaker 13: making penalties for offenses harsher. It doesn't allow greater access

537
00:24:56,173 --> 00:25:00,093
Speaker 13: to military style semi automatic weapons, which McKee had wanted.

538
00:25:01,013 --> 00:25:04,493
Speaker 13: Labour's police spokesperson says the government's meth action plan is

539
00:25:04,533 --> 00:25:07,853
Speaker 13: too little, too late, after consumption doubled last year to

540
00:25:07,893 --> 00:25:11,893
Speaker 13: nearly FI fifteen hundred kilos. Measures include thirty million dollars

541
00:25:12,093 --> 00:25:16,292
Speaker 13: for community support services and bolstering the defense force, customs

542
00:25:16,293 --> 00:25:21,453
Speaker 13: and police concerns in unlinked case of measles in Nelson

543
00:25:21,493 --> 00:25:25,253
Speaker 13: could signal it's circulating in the community. The first stage

544
00:25:25,253 --> 00:25:29,013
Speaker 13: of a radiology upgrade at Hauks Bay fallen Soldiers' Memorial

545
00:25:29,053 --> 00:25:34,573
Speaker 13: Hospital is complete. Unhappy at work. Former British Trade Minister

546
00:25:34,693 --> 00:25:38,093
Speaker 13: Lord Mark Price has some advice before you quit your job.

547
00:25:38,533 --> 00:25:41,173
Speaker 13: Read the full column at end, said Herald Premium back

548
00:25:41,173 --> 00:25:42,813
Speaker 13: to Matt Eath and Tyler Adams.

549
00:25:42,853 --> 00:25:45,253
Speaker 3: Thank you very much. Raillan. We're talking about the pushback

550
00:25:45,293 --> 00:25:47,973
Speaker 3: against billionaires in recent times and keen on your view,

551
00:25:48,053 --> 00:25:51,453
Speaker 3: should billionaires exist, does they need to be some regulations

552
00:25:51,493 --> 00:25:53,532
Speaker 3: involved in that sort of wealth or is that a

553
00:25:53,573 --> 00:25:56,293
Speaker 3: sign of a successful society? Oh, one hundred and eighteen eighty.

554
00:25:56,493 --> 00:25:58,613
Speaker 2: Hey, guys, China is in a pure communist state. It's

555
00:25:58,653 --> 00:26:02,853
Speaker 2: a very mercantile. There's plenty of billionaires. It's effectively capitalist

556
00:26:02,853 --> 00:26:06,733
Speaker 2: dictatorship with Jujingpin characteristics. That's from Brennett. Yeah, I mean,

557
00:26:06,733 --> 00:26:08,093
Speaker 2: some people have mis heard what I was saying. I'm

558
00:26:08,093 --> 00:26:11,693
Speaker 2: not saying there's no innovation in China, but it does

559
00:26:11,733 --> 00:26:15,493
Speaker 2: have an innovation problem. You know, I've been reading quite

560
00:26:15,493 --> 00:26:18,853
Speaker 2: a lot about it recently, and that you know anything

561
00:26:18,893 --> 00:26:21,173
Speaker 2: when you're controlled by the government. But I mean, let's

562
00:26:21,213 --> 00:26:23,093
Speaker 2: just say, if you become a billionaire in China, and

563
00:26:23,093 --> 00:26:26,053
Speaker 2: there have been famous situations where billionaires have just suddenly

564
00:26:26,093 --> 00:26:29,013
Speaker 2: had everything taken off them or have been disappeared for

565
00:26:29,013 --> 00:26:29,373
Speaker 2: a while.

566
00:26:29,493 --> 00:26:29,733
Speaker 1: Yep.

567
00:26:30,173 --> 00:26:31,973
Speaker 2: But also you'd be a billionaire in China and then

568
00:26:32,013 --> 00:26:34,693
Speaker 2: you call jijinping pooh beer and see how you go?

569
00:26:34,853 --> 00:26:37,053
Speaker 3: Yeah, well, they're famous case of Jack Maher and I

570
00:26:37,093 --> 00:26:39,373
Speaker 3: know he's not the only one, but the billionaire founder

571
00:26:39,453 --> 00:26:42,333
Speaker 3: of Ali Barber went missing for a long time because

572
00:26:42,333 --> 00:26:44,253
Speaker 3: he dared too And I don't even think the criticism

573
00:26:44,333 --> 00:26:46,893
Speaker 3: was that much of China, but they effectively made him

574
00:26:46,893 --> 00:26:49,613
Speaker 3: disappear and said we own you and you don't forget that.

575
00:26:49,773 --> 00:26:52,333
Speaker 3: And then he popped back up and said, I love

576
00:26:52,373 --> 00:26:53,573
Speaker 3: this country and I love Jugen.

577
00:26:54,253 --> 00:26:55,813
Speaker 2: Well, yeah, I mean all these people that are texting

578
00:26:55,813 --> 00:26:58,213
Speaker 2: in and hastling me for having a go at China

579
00:26:58,253 --> 00:27:01,173
Speaker 2: and the freedoms in there. Yeah, you know, I wonder

580
00:27:01,173 --> 00:27:04,572
Speaker 2: how you'd go ringing up a talkback radio station in

581
00:27:04,653 --> 00:27:06,973
Speaker 2: China to say the kind of things you say about

582
00:27:06,973 --> 00:27:07,453
Speaker 2: the government.

583
00:27:07,573 --> 00:27:09,733
Speaker 3: Yeah, would you go, Well, you get a knock on

584
00:27:09,773 --> 00:27:11,493
Speaker 3: the door very fast, how would.

585
00:27:11,373 --> 00:27:13,413
Speaker 2: You go, Graham, welcome to show.

586
00:27:15,013 --> 00:27:16,213
Speaker 14: Hey guys, it going good.

587
00:27:16,253 --> 00:27:18,813
Speaker 6: Thank you, Just a quick a side.

588
00:27:18,853 --> 00:27:21,613
Speaker 14: Let's see Carlo Science managed as usual trick of crashing

589
00:27:21,613 --> 00:27:23,853
Speaker 14: into someone in the grand privious weekend.

590
00:27:25,453 --> 00:27:29,133
Speaker 3: Get him started, get started on.

591
00:27:28,853 --> 00:27:32,733
Speaker 2: Oh my god, that guy and that's and and that's

592
00:27:32,733 --> 00:27:33,893
Speaker 2: what he said about our boy.

593
00:27:33,973 --> 00:27:34,173
Speaker 6: Leave.

594
00:27:34,213 --> 00:27:38,853
Speaker 2: He goes, oh, it's it's this guy. No, it's always you, Carlos. Yeah, anyway,

595
00:27:38,893 --> 00:27:40,373
Speaker 2: don't get it. Don't get us started.

596
00:27:43,813 --> 00:27:47,133
Speaker 14: A couple of points I just wanted to make. I

597
00:27:47,173 --> 00:27:51,573
Speaker 14: think that the the the little angst against billion is

598
00:27:52,613 --> 00:27:55,173
Speaker 14: gems from two things. So one is the view that well,

599
00:27:57,133 --> 00:27:59,613
Speaker 14: we need to continually think of new ways to divide

600
00:27:59,613 --> 00:28:03,773
Speaker 14: it up, when in fact that it's infinite. And the

601
00:28:03,813 --> 00:28:08,173
Speaker 14: second thing is this view of what capitalism used to

602
00:28:08,213 --> 00:28:11,133
Speaker 14: be versus what it is today. So what I mean

603
00:28:11,133 --> 00:28:14,213
Speaker 14: by that is, you know, if you look back in time,

604
00:28:16,293 --> 00:28:18,573
Speaker 14: sort of billionaires used to be people that own railways

605
00:28:18,653 --> 00:28:22,213
Speaker 14: or oil fields or telephone companies, sort of things that

606
00:28:22,493 --> 00:28:28,493
Speaker 14: it was very difficult to survive without, whereas today most billionaires,

607
00:28:28,613 --> 00:28:31,013
Speaker 14: and if you look at the Magnificent seven as they're

608
00:28:31,013 --> 00:28:34,613
Speaker 14: called on the Stock Exchange, Alphabet, Amazon, Apple, Meta, Microsoft

609
00:28:34,693 --> 00:28:38,013
Speaker 14: and Video and Tesla, they don't really own anything except IP.

610
00:28:38,653 --> 00:28:43,453
Speaker 14: So that well is primarily generated from the intellectual property

611
00:28:43,493 --> 00:28:46,293
Speaker 14: that they create. I mean, I noticed the makes cards,

612
00:28:46,333 --> 00:28:48,653
Speaker 14: but even people say then that it's actually a giant

613
00:28:48,893 --> 00:28:54,213
Speaker 14: data research project, not not actually a vehicle company. So

614
00:28:54,373 --> 00:28:58,013
Speaker 14: that's the kind of thinking that goes into oh that

615
00:28:58,013 --> 00:29:01,813
Speaker 14: there shouldn't be billionaires. It's like and even said in

616
00:29:01,853 --> 00:29:04,573
Speaker 14: your intro, you know it, has the world got enough resources?

617
00:29:04,613 --> 00:29:05,013
Speaker 9: I mean.

618
00:29:06,613 --> 00:29:08,973
Speaker 14: People like Peter Bet didn't kind of wait, cup one morning,

619
00:29:09,053 --> 00:29:11,253
Speaker 14: go ship man. There's always rockets lying around. If only

620
00:29:11,413 --> 00:29:15,173
Speaker 14: someone bought them all and created a rocket monopoly, I

621
00:29:15,173 --> 00:29:17,653
Speaker 14: could build a space company here in New Zealand. He

622
00:29:17,693 --> 00:29:20,813
Speaker 14: built it from scratch, that there was no company beforehand,

623
00:29:22,173 --> 00:29:26,933
Speaker 14: and I think that's the misnomer. The left spends a

624
00:29:26,933 --> 00:29:29,773
Speaker 14: lot of time thinking about how we can take the

625
00:29:29,773 --> 00:29:34,173
Speaker 14: pizza and cut it up in more interesting and diverse ways,

626
00:29:34,213 --> 00:29:35,693
Speaker 14: whereas the right kind of things, well, how do we

627
00:29:35,733 --> 00:29:41,133
Speaker 14: make the pizza ever bigger. I do respect the view

628
00:29:41,173 --> 00:29:44,613
Speaker 14: that you can't just pillage theirth of resources in order

629
00:29:44,653 --> 00:29:47,493
Speaker 14: to make ever more money. But like I said, wealth

630
00:29:47,533 --> 00:29:52,773
Speaker 14: creation these days is very much around intellectual property more

631
00:29:52,813 --> 00:30:00,613
Speaker 14: so than monopolistic resource ownership. And that's the difference. A

632
00:30:00,653 --> 00:30:05,653
Speaker 14: couple of thoughts on China and innovation. There read somewhere

633
00:30:05,653 --> 00:30:08,853
Speaker 14: that basically the Chinese government needs the Chinese economy to

634
00:30:08,933 --> 00:30:12,213
Speaker 14: grow between five and seven percent a year to remain

635
00:30:12,253 --> 00:30:13,653
Speaker 14: in power, and the only way it can do that

636
00:30:13,773 --> 00:30:17,933
Speaker 14: is through running a capitalist economy, because when your standard

637
00:30:17,933 --> 00:30:21,493
Speaker 14: of living is constantly increasing, you're less likely to overthrow

638
00:30:21,533 --> 00:30:24,293
Speaker 14: your government than if you're living in misery in your

639
00:30:25,373 --> 00:30:30,293
Speaker 14: life is getting worse. Another interesting anecdote I had was

640
00:30:30,493 --> 00:30:33,053
Speaker 14: I read a study somewhere that talked about innovation out

641
00:30:33,093 --> 00:30:38,133
Speaker 14: of the Communist the Soviet Block from the end of

642
00:30:38,173 --> 00:30:40,293
Speaker 14: the Second World War to the full Burmham Wall. And

643
00:30:40,333 --> 00:30:44,213
Speaker 14: basically the study looked at everything the Soviets created that

644
00:30:44,333 --> 00:30:48,733
Speaker 14: wasn't either stolen from the West through espionage or copied

645
00:30:49,373 --> 00:30:54,213
Speaker 14: or was built on the back of, you know, basically

646
00:30:54,253 --> 00:30:56,933
Speaker 14: capturing German scientists alf the war. And they came up

647
00:30:56,933 --> 00:30:59,453
Speaker 14: with one specific example.

648
00:30:59,893 --> 00:31:00,133
Speaker 6: And I.

649
00:31:01,613 --> 00:31:03,573
Speaker 14: Doesn't matter how many how long I'll give you to

650
00:31:03,893 --> 00:31:06,613
Speaker 14: guess what it is, you never will. And the study

651
00:31:06,693 --> 00:31:08,893
Speaker 14: said the only thing they could think of that was, well,

652
00:31:08,933 --> 00:31:12,253
Speaker 14: find that was completely innovative that came out of out

653
00:31:12,253 --> 00:31:14,653
Speaker 14: of the Soviet era, was out of Hungary and it

654
00:31:14,693 --> 00:31:15,293
Speaker 14: was rubric.

655
00:31:15,493 --> 00:31:19,293
Speaker 3: And that was hanging on a minute, what.

656
00:31:19,253 --> 00:31:23,813
Speaker 2: About what's that? What's that? Fantastic huh video game, that

657
00:31:23,893 --> 00:31:26,133
Speaker 2: really simple one with the drops brocking down? Why am

658
00:31:26,133 --> 00:31:29,653
Speaker 2: I forgettings? Maybe maybe Tetris as well.

659
00:31:31,013 --> 00:31:32,093
Speaker 14: I'm not sure that.

660
00:31:32,693 --> 00:31:35,333
Speaker 2: So so when you when you look into you know,

661
00:31:35,453 --> 00:31:38,653
Speaker 2: China and and you know so obviously the capitalist part

662
00:31:38,693 --> 00:31:40,733
Speaker 2: of it. But but you know, as I'm getting a

663
00:31:40,733 --> 00:31:43,293
Speaker 2: lot of abuse from the text Hitchines saying here, but

664
00:31:43,293 --> 00:31:45,933
Speaker 2: but but you look at you know, the innovation there.

665
00:31:46,133 --> 00:31:48,253
Speaker 2: I mean, you cannot deny that there's a lot of

666
00:31:48,253 --> 00:31:50,533
Speaker 2: plagiarism going around, and there's a lot of ignoring of

667
00:31:50,533 --> 00:31:54,133
Speaker 2: of of of copyright, right, I mean.

668
00:31:54,293 --> 00:31:57,773
Speaker 14: That abs yeah, they I mean even the deep think

669
00:31:58,213 --> 00:32:01,453
Speaker 14: AI model they were launched recently supposedly was innovative. That's

670
00:32:01,493 --> 00:32:06,013
Speaker 14: then going into the source code they found, uh evidence

671
00:32:06,093 --> 00:32:10,053
Speaker 14: that some of it was copied from US versions and

672
00:32:10,373 --> 00:32:11,013
Speaker 14: that sort of stuff.

673
00:32:11,293 --> 00:32:13,213
Speaker 2: You've always got to ask the question. And you look,

674
00:32:13,213 --> 00:32:16,453
Speaker 2: I'm no expert on it, but if everything is you know,

675
00:32:16,493 --> 00:32:19,493
Speaker 2: you look at Tektok for example, at the end every

676
00:32:19,493 --> 00:32:23,973
Speaker 2: company in China is effectively owned by the government. You

677
00:32:23,973 --> 00:32:26,613
Speaker 2: can have billionaires, you can have the success, but you

678
00:32:26,653 --> 00:32:29,293
Speaker 2: always have to be asking that question on innovation. You know,

679
00:32:29,453 --> 00:32:32,413
Speaker 2: of the people above you, and is this an acceptable

680
00:32:32,453 --> 00:32:35,573
Speaker 2: thing to do? So there are limits. There's always limitations

681
00:32:35,733 --> 00:32:38,213
Speaker 2: on what you do in a way that there isn't

682
00:32:38,693 --> 00:32:41,653
Speaker 2: in free, democratic societies. It's just the way it is.

683
00:32:42,013 --> 00:32:44,973
Speaker 2: And they're huge. You know, the infrastructure projects they have

684
00:32:45,053 --> 00:32:48,293
Speaker 2: in China are absolutely phenomenal, and the way some of

685
00:32:48,293 --> 00:32:51,613
Speaker 2: their city's runners are amazing. But I don't know if

686
00:32:51,653 --> 00:32:53,453
Speaker 2: everyone here would want to give up the freedom that

687
00:32:53,493 --> 00:32:55,853
Speaker 2: we have here to say and do what we want

688
00:32:56,333 --> 00:32:58,373
Speaker 2: just for some really kick ass bridges. I'm not sure.

689
00:32:58,373 --> 00:33:03,213
Speaker 14: Maybe they would, Yeah, but as you say, it's still

690
00:33:03,533 --> 00:33:10,253
Speaker 14: it's a communist government underpinned by quite thy capitalist system.

691
00:33:10,733 --> 00:33:13,293
Speaker 14: And you know, you can tell that like when Trump

692
00:33:14,053 --> 00:33:17,253
Speaker 14: started applaying tariffs to China, lots of people said, or

693
00:33:17,333 --> 00:33:21,253
Speaker 14: China doesn't care because you know that they've got lots

694
00:33:21,253 --> 00:33:24,293
Speaker 14: of other trading partners. But there was the key financial

695
00:33:24,333 --> 00:33:27,613
Speaker 14: report that said the Chinese government started buying up shares

696
00:33:27,933 --> 00:33:31,453
Speaker 14: on the on the Shanghai Stock Exchange, and that's always

697
00:33:31,453 --> 00:33:35,573
Speaker 14: an indicator that they are concerned about the economy because

698
00:33:35,653 --> 00:33:41,013
Speaker 14: so many Chinese have their wealth invested in stocks. And

699
00:33:41,173 --> 00:33:43,493
Speaker 14: again it comes back to that question, is they want

700
00:33:43,533 --> 00:33:46,053
Speaker 14: to continue to raise the standard living, so they started

701
00:33:46,053 --> 00:33:49,893
Speaker 14: buying up stocks to ensure that the market didn't for

702
00:33:50,333 --> 00:33:53,933
Speaker 14: They're also currently propping up the real estate market by

703
00:33:54,093 --> 00:33:57,373
Speaker 14: by you know, hundreds and not trillions of dollars. You know,

704
00:33:57,773 --> 00:34:02,093
Speaker 14: there's all those ghost towns and problems, problems.

705
00:34:01,813 --> 00:34:05,253
Speaker 2: And then you know, look into the population collapse over here.

706
00:34:05,253 --> 00:34:06,813
Speaker 2: It's an interesting problem. We've all got that.

707
00:34:07,013 --> 00:34:12,093
Speaker 14: Yeah, but around yeah, trying to maintain a sense of

708
00:34:13,172 --> 00:34:14,413
Speaker 14: continuing to build wealth.

709
00:34:14,973 --> 00:34:16,413
Speaker 2: Yeah, thank you so much for your call, Graham. Going

710
00:34:16,453 --> 00:34:17,733
Speaker 2: to go to an air break, we certainly do.

711
00:34:17,853 --> 00:34:20,053
Speaker 3: Thirteen to two, but taking your calls on eight hundred

712
00:34:20,053 --> 00:34:20,973
Speaker 3: and eighty ten eighty.

713
00:34:21,973 --> 00:34:25,333
Speaker 1: Matt Heath, Taylor Adams with you as your afternoon rolls

714
00:34:25,373 --> 00:34:28,813
Speaker 1: on Matt Heath and Tylor Adams afternoons news talks.

715
00:34:28,853 --> 00:34:31,373
Speaker 3: I'd be it is ten to two. Plenty of texts

716
00:34:31,373 --> 00:34:31,773
Speaker 3: coming through.

717
00:34:31,853 --> 00:34:35,213
Speaker 2: On nine ten nine two, m Matt says this teester,

718
00:34:35,493 --> 00:34:38,493
Speaker 2: M Matt, you're not as wildly as you think you are. Well,

719
00:34:38,533 --> 00:34:39,853
Speaker 2: I don't think I'm that worldly a should you? To

720
00:34:39,853 --> 00:34:42,573
Speaker 2: be honest, I grew up on a farm in the

721
00:34:42,653 --> 00:34:43,893
Speaker 2: deepest of the South Island.

722
00:34:44,013 --> 00:34:44,453
Speaker 3: Good place.

723
00:34:44,573 --> 00:34:46,613
Speaker 2: Yeah, yeah, yeah, but I would never claim to be

724
00:34:46,653 --> 00:34:52,773
Speaker 2: particularly worldly. China has passed Germany and engineering engineering initiative.

725
00:34:52,973 --> 00:34:56,613
Speaker 2: This is from someone an engineer who visits there every

726
00:34:56,653 --> 00:34:58,813
Speaker 2: six months because of products we buy from them. You

727
00:34:58,933 --> 00:35:00,853
Speaker 2: never seen any of the one hundred and thirty staff

728
00:35:00,853 --> 00:35:03,693
Speaker 2: being suppressed or gagged and ideal with them daily. You

729
00:35:03,853 --> 00:35:07,733
Speaker 2: are ignorant. Well, maybe I am, but I also know

730
00:35:07,733 --> 00:35:11,133
Speaker 2: a lot of people go over there, and I've recently

731
00:35:11,173 --> 00:35:13,133
Speaker 2: been having some dealings with some people that work with

732
00:35:13,173 --> 00:35:18,253
Speaker 2: the We're embedded with the Chinese government, and the freedom

733
00:35:18,253 --> 00:35:21,613
Speaker 2: that you speak of is a bit of an illusion

734
00:35:21,653 --> 00:35:26,013
Speaker 2: that may be rolled out for you, dear Texters, So

735
00:35:26,253 --> 00:35:30,013
Speaker 2: thank you for that, but you cannot you can't put

736
00:35:30,693 --> 00:35:33,573
Speaker 2: next time you go over there, dress up as as

737
00:35:33,613 --> 00:35:37,493
Speaker 2: Pooh Beer. And when you go over there and you're

738
00:35:37,533 --> 00:35:39,333
Speaker 2: visiting there, next time you're over there six months and

739
00:35:39,493 --> 00:35:42,613
Speaker 2: dress up as poo Beer. Good to walk around and.

740
00:35:42,613 --> 00:35:45,013
Speaker 3: Then text us back if you can from the prison cell.

741
00:35:45,133 --> 00:35:46,933
Speaker 2: And then go to America and dress up as Donald

742
00:35:46,973 --> 00:35:49,213
Speaker 2: Trump and see which place you get in more trouble

743
00:35:49,213 --> 00:35:49,652
Speaker 2: for doing it.

744
00:35:49,693 --> 00:35:52,213
Speaker 3: Good experiments, But thank you very much for that text.

745
00:35:52,773 --> 00:35:54,773
Speaker 3: All right, we've got to take a quick break. But

746
00:35:54,813 --> 00:35:56,653
Speaker 3: when we come back, we have a chat to Matt

747
00:35:57,133 --> 00:35:59,613
Speaker 3: who reckons there's people good with money and people who

748
00:35:59,693 --> 00:36:01,893
Speaker 3: are bad with money. It's simple as that. So we'll

749
00:36:01,893 --> 00:36:03,613
Speaker 3: get us thought shortly eight to two.

750
00:36:04,653 --> 00:36:09,333
Speaker 1: Mattie Taylor Adams taking your calls on eight hundred. It's

751
00:36:09,413 --> 00:36:13,773
Speaker 1: Matt Heathen, Tyler Adams Afternoons.

752
00:36:13,053 --> 00:36:15,013
Speaker 3: New Dogs. It is five to two.

753
00:36:16,093 --> 00:36:19,053
Speaker 2: Matt Welcome to show your thoughts on this. Should billionaires exist?

754
00:36:20,493 --> 00:36:20,692
Speaker 15: Yeah?

755
00:36:20,733 --> 00:36:23,893
Speaker 16: Okay, So I was kind of going to put it

756
00:36:24,173 --> 00:36:26,693
Speaker 16: back to you and Tyler as well and just have

757
00:36:26,813 --> 00:36:31,973
Speaker 16: it sort of an interactive uhally about it. So basically,

758
00:36:32,093 --> 00:36:37,053
Speaker 16: basically we've got people attacking billionaires. I've seen billionaires. You've

759
00:36:37,093 --> 00:36:40,053
Speaker 16: seen them, and and you do get to a point

760
00:36:40,053 --> 00:36:42,333
Speaker 16: where if you start to see just how much money

761
00:36:42,413 --> 00:36:46,333
Speaker 16: they actually have put together, it can actually make you

762
00:36:46,373 --> 00:36:50,573
Speaker 16: feel sick. Like I've been there, and it's like, man,

763
00:36:50,653 --> 00:36:53,453
Speaker 16: do you really need all of that? Could you not

764
00:36:53,773 --> 00:36:58,573
Speaker 16: have shared some of that? And I think with fat

765
00:36:58,613 --> 00:37:02,013
Speaker 16: wealth there probably is like a sort of a bit

766
00:37:02,053 --> 00:37:05,493
Speaker 16: of a responsibility to do something to help people if

767
00:37:05,533 --> 00:37:09,333
Speaker 16: you can. But in saying that, I don't think you

768
00:37:09,373 --> 00:37:12,093
Speaker 16: can force them to do it. And I think that

769
00:37:12,253 --> 00:37:15,613
Speaker 16: a great deal of billionaires probably i'd say more often

770
00:37:15,653 --> 00:37:18,413
Speaker 16: than not. Quite so terrific anyway, and they do do

771
00:37:18,493 --> 00:37:20,173
Speaker 16: a lot to help people. They make a lot of

772
00:37:20,213 --> 00:37:21,773
Speaker 16: serious And it was there not a key with you

773
00:37:21,813 --> 00:37:24,453
Speaker 16: who donated enough? Was it one hundred million dollars for

774
00:37:24,573 --> 00:37:27,373
Speaker 16: the ward in the hospital?

775
00:37:28,653 --> 00:37:28,853
Speaker 6: Yeah?

776
00:37:29,133 --> 00:37:31,973
Speaker 16: Yeah, So there you go. That's one man. Everybody probably

777
00:37:32,053 --> 00:37:34,652
Speaker 16: doesn't much like that he owns that much money. But

778
00:37:35,013 --> 00:37:37,293
Speaker 16: the New Zealand government couldn't even put a ward on

779
00:37:37,333 --> 00:37:40,493
Speaker 16: that hospital. But oh no, a wealthy man came along

780
00:37:40,533 --> 00:37:42,293
Speaker 16: and there it is. You now have your ward. You're

781
00:37:42,333 --> 00:37:44,813
Speaker 16: welcome like that was up to him that he's a

782
00:37:44,853 --> 00:37:46,613
Speaker 16: host of his money.

783
00:37:46,413 --> 00:37:49,613
Speaker 2: Hey, Matt, I'm really enjoying this chat with you, but

784
00:37:49,853 --> 00:37:52,253
Speaker 2: we have got the news coming in hot. We've we've

785
00:37:52,333 --> 00:37:53,733
Speaker 2: run a bit long and a few things. Would be

786
00:37:53,773 --> 00:37:56,053
Speaker 2: able to talk to you again after the news. Would

787
00:37:56,053 --> 00:37:56,933
Speaker 2: you be able to hang around for it?

788
00:37:57,053 --> 00:37:58,533
Speaker 16: Oh yeah, I'll try and hang on here.

789
00:37:59,213 --> 00:38:01,413
Speaker 2: Good on your Matt. Appreciate your thoughts. I can tell

790
00:38:01,453 --> 00:38:03,373
Speaker 2: that you've thought through them so well. Look forward to

791
00:38:03,373 --> 00:38:05,333
Speaker 2: talking to you after the break, yep.

792
00:38:05,773 --> 00:38:07,373
Speaker 3: And we're going to carry this on as well. One

793
00:38:07,413 --> 00:38:09,293
Speaker 3: hundred and eighty ten eighty is that number of call.

794
00:38:09,333 --> 00:38:12,733
Speaker 3: Should billionaires exist or are they? Do they provide some

795
00:38:12,853 --> 00:38:15,013
Speaker 3: value to society? Love to get your thoughts on this

796
00:38:15,173 --> 00:38:18,333
Speaker 3: nine two ninety two, the text number, News Sport and

797
00:38:18,373 --> 00:38:21,413
Speaker 3: where they're coming up. Then we'll get back to our caller, Matts.

798
00:38:24,413 --> 00:38:28,213
Speaker 1: Talking with you all afternoon. It's Matt Heathen Taylor Adams

799
00:38:28,293 --> 00:38:30,053
Speaker 1: Afternoons News Talks.

800
00:38:30,093 --> 00:38:33,653
Speaker 3: It'd be good day to you. Welcome back into the show.

801
00:38:33,933 --> 00:38:36,333
Speaker 3: Six past two. So we have been talking about the

802
00:38:36,413 --> 00:38:40,293
Speaker 3: pushback against billionaires in recent times, a lot of pushback

803
00:38:40,333 --> 00:38:43,453
Speaker 3: overseas but also here in New Zealand. So we've been

804
00:38:43,493 --> 00:38:46,213
Speaker 3: asking you do you think billionaires should exist?

805
00:38:46,733 --> 00:38:50,173
Speaker 2: Yeah? Do you celebrate their innovation and job creation? Or

806
00:38:50,373 --> 00:38:53,772
Speaker 2: do you think in a finite world of resources, it's

807
00:38:53,853 --> 00:38:56,652
Speaker 2: somehow morally wrong and unfair to have that much money

808
00:38:56,693 --> 00:39:00,133
Speaker 2: when some people have nothing at all. That's discussion. One

809
00:39:00,173 --> 00:39:03,013
Speaker 2: hundred and eighty ten or eighty is the number. And Matt,

810
00:39:03,053 --> 00:39:06,053
Speaker 2: we had to cut you off for the news, so

811
00:39:06,213 --> 00:39:09,813
Speaker 2: welcome back. When we left, you were positing a few

812
00:39:09,893 --> 00:39:11,212
Speaker 2: questions to Tyler and I.

813
00:39:12,173 --> 00:39:13,733
Speaker 16: Yeah, so you hear me, all right.

814
00:39:13,893 --> 00:39:15,692
Speaker 2: Yep, you clear as a bell.

815
00:39:16,493 --> 00:39:19,813
Speaker 16: Okay, So all I was saying is I think we've

816
00:39:19,853 --> 00:39:24,293
Speaker 16: all seen multi billionaires with all their toys and felt

817
00:39:24,293 --> 00:39:26,772
Speaker 16: a bit sick with you. Almost could think that they're

818
00:39:26,773 --> 00:39:29,493
Speaker 16: a little greedy or whatever. But I think a lot

819
00:39:29,533 --> 00:39:32,973
Speaker 16: of people have responsibility to do good, and a great

820
00:39:33,013 --> 00:39:35,573
Speaker 16: deal of them do. I think a lot of them

821
00:39:35,653 --> 00:39:39,093
Speaker 16: aren't just obsessed with hoarding money and trying to live forever.

822
00:39:39,573 --> 00:39:41,693
Speaker 16: I think they take a bit of joy from spreading

823
00:39:41,693 --> 00:39:43,692
Speaker 16: their money around as well. And like you say, they

824
00:39:43,733 --> 00:39:46,893
Speaker 16: create jobs and pay a lot of tacks. And so

825
00:39:46,933 --> 00:39:48,933
Speaker 16: the question I was was going to ask you guys,

826
00:39:49,053 --> 00:39:52,772
Speaker 16: is like, have you ever met someone who's really good

827
00:39:52,813 --> 00:39:53,333
Speaker 16: with money?

828
00:39:54,253 --> 00:39:57,453
Speaker 2: Yep? I have? I think of a couple.

829
00:39:57,453 --> 00:39:59,493
Speaker 3: Yep, yep. I can think of a few people.

830
00:39:59,773 --> 00:40:01,973
Speaker 16: Yeah, And I hate to do this, but have you

831
00:40:01,973 --> 00:40:04,133
Speaker 16: ever met someone who's just terrible with money?

832
00:40:04,613 --> 00:40:07,093
Speaker 2: I meet that person every morning in the bathroom mirror.

833
00:40:08,453 --> 00:40:13,733
Speaker 16: Yeah, it's fair enough. And so I think that's just reality, right. So,

834
00:40:13,893 --> 00:40:16,692
Speaker 16: like for every intelligent person you meet, you might meet

835
00:40:16,733 --> 00:40:20,453
Speaker 16: a person you think, man, they're highly intelligent. The dark

836
00:40:20,493 --> 00:40:23,493
Speaker 16: side of that is that somewhere else in the other

837
00:40:23,573 --> 00:40:26,252
Speaker 16: side of there has to be someone who's not quite

838
00:40:26,333 --> 00:40:29,093
Speaker 16: that intelligent. So it's the same as that. So basically

839
00:40:30,213 --> 00:40:32,813
Speaker 16: a classic example that I would give is like if

840
00:40:32,853 --> 00:40:35,652
Speaker 16: you take you must have heard the stats on our

841
00:40:35,693 --> 00:40:40,533
Speaker 16: first division lotto winners and how often they are bankrupt

842
00:40:40,573 --> 00:40:43,373
Speaker 16: within two years. It is like a great percentage eighty

843
00:40:43,413 --> 00:40:45,733
Speaker 16: plus percent or something. You'd have to fact check me,

844
00:40:45,813 --> 00:40:50,613
Speaker 16: but it's appalling. So basically, these are people that have

845
00:40:50,813 --> 00:40:53,773
Speaker 16: won lotto and they just can't keep it together for

846
00:40:53,853 --> 00:40:57,652
Speaker 16: two years. So to the whole argument of taking all

847
00:40:57,693 --> 00:41:01,533
Speaker 16: the money off the wealthy billionaires, I've not heard any

848
00:41:01,573 --> 00:41:05,652
Speaker 16: other argues other than other arguments other than to redistribute it,

849
00:41:05,733 --> 00:41:09,133
Speaker 16: which would mean everybody gets a piece of pie. So

850
00:41:10,133 --> 00:41:14,133
Speaker 16: I think that if you hand certain people a whole

851
00:41:14,213 --> 00:41:17,053
Speaker 16: lot of money, like that guy that was on earlier said, hey,

852
00:41:17,053 --> 00:41:19,933
Speaker 16: if you gave everyone a million dollars, everyone just wouldn't

853
00:41:19,933 --> 00:41:22,573
Speaker 16: go to work tomorrow. Well, actually that's not true. There's

854
00:41:22,613 --> 00:41:24,333
Speaker 16: a lot of people that have a million dollars in

855
00:41:24,373 --> 00:41:27,732
Speaker 16: their bank and still go to work. In fact, they're

856
00:41:27,773 --> 00:41:31,652
Speaker 16: not content with that. They grow their businesses more, they

857
00:41:31,693 --> 00:41:35,893
Speaker 16: hire more people. It's not that's a classic example of

858
00:41:35,933 --> 00:41:39,333
Speaker 16: what he thinks that but that's not true. Like we

859
00:41:39,373 --> 00:41:42,373
Speaker 16: all know a millionaire who goes to work. Surely I

860
00:41:42,413 --> 00:41:48,093
Speaker 16: can name some. So basically, the thing I think is

861
00:41:48,093 --> 00:41:51,613
Speaker 16: if you just redistribute all the wealth and people who

862
00:41:51,613 --> 00:41:53,773
Speaker 16: are great with money get some, and people who are

863
00:41:53,813 --> 00:41:57,493
Speaker 16: bad with money get some, then the people who are

864
00:41:57,613 --> 00:42:00,413
Speaker 16: terrible with money will just lose that money quite quickly,

865
00:42:00,693 --> 00:42:04,893
Speaker 16: and it'll basically it'll become cyclical, and you'll end up

866
00:42:05,573 --> 00:42:09,453
Speaker 16: back where we are, which is the PA That's the

867
00:42:09,493 --> 00:42:12,613
Speaker 16: way it got there, you know, in my opinion, because

868
00:42:12,773 --> 00:42:14,613
Speaker 16: most of the people that I've met who are really

869
00:42:14,653 --> 00:42:19,413
Speaker 16: wealthy and grow their wealth heaven inherited it. They they've

870
00:42:19,533 --> 00:42:23,133
Speaker 16: usually come from a really tough upbringing or background, and

871
00:42:23,173 --> 00:42:27,373
Speaker 16: they've been really, really highly motivated. They've had a lot

872
00:42:27,373 --> 00:42:30,853
Speaker 16: of boogie, They've taken huge risks, a lot of them,

873
00:42:30,893 --> 00:42:34,493
Speaker 16: and many of them have just made massive sacrifices ones

874
00:42:34,573 --> 00:42:37,173
Speaker 16: that I'm not like, I'm not a wealthy I'm just tradesman,

875
00:42:37,373 --> 00:42:39,213
Speaker 16: so I'm not a wealthy man. So I'm not defending

876
00:42:39,293 --> 00:42:44,413
Speaker 16: them from any other perspective that I respect people who

877
00:42:45,133 --> 00:42:47,693
Speaker 16: they have put a lot of effort in because I've seen.

878
00:42:47,493 --> 00:42:47,973
Speaker 9: Them do it.

879
00:42:48,053 --> 00:42:50,172
Speaker 16: Like they'll buy a house and then they'll sit on

880
00:42:50,213 --> 00:42:53,173
Speaker 16: a paint can you know, they don't buy furniture because

881
00:42:54,253 --> 00:42:56,333
Speaker 16: that's not what they're interested in. Like, these are the

882
00:42:56,373 --> 00:42:59,653
Speaker 16: people that when you're out partying, they stayed home and studied.

883
00:42:59,693 --> 00:43:02,813
Speaker 16: Like they've made those choices and they got that degree.

884
00:43:03,493 --> 00:43:06,692
Speaker 16: They I mean, you could say they're stingy. Maybe yeah,

885
00:43:06,693 --> 00:43:08,172
Speaker 16: they're stingy. They started off.

886
00:43:10,373 --> 00:43:14,413
Speaker 2: You hear those stories of incredibly wealthy peeping people inserting

887
00:43:14,453 --> 00:43:16,573
Speaker 2: their credit card into the machine rather than use the

888
00:43:16,613 --> 00:43:17,133
Speaker 2: pay weights.

889
00:43:18,573 --> 00:43:22,253
Speaker 16: Yeah, yeah, and like yeah exactly, Matt and Donald Trump,

890
00:43:22,413 --> 00:43:24,893
Speaker 16: like yeah, he's is he a billionaire? I think he's

891
00:43:24,893 --> 00:43:28,373
Speaker 16: a billionaire, but he's been bankrupt a number of times.

892
00:43:28,573 --> 00:43:32,333
Speaker 16: So as long as you're happy to, you know, take

893
00:43:32,373 --> 00:43:35,212
Speaker 16: all of those risks right like that. Not many people are.

894
00:43:35,373 --> 00:43:38,373
Speaker 16: I'm not, but I think it goes hand in hand

895
00:43:38,413 --> 00:43:41,973
Speaker 16: with like a tall poppy syndrome, which we've kind of

896
00:43:42,013 --> 00:43:45,533
Speaker 16: had a bit of a reputation for in this country,

897
00:43:45,613 --> 00:43:48,173
Speaker 16: where you can't just be happy. Like I want Tyler

898
00:43:48,213 --> 00:43:50,773
Speaker 16: to be a millionaire, I want Matt to be a millionaire.

899
00:43:50,773 --> 00:43:53,133
Speaker 16: I want everyone to be a millionaire. I actually really do.

900
00:43:54,373 --> 00:43:57,453
Speaker 16: And if everybody in this country builds everybody in this

901
00:43:57,533 --> 00:44:01,213
Speaker 16: country up, we'll all pay more attack all of a sudden,

902
00:44:01,293 --> 00:44:03,093
Speaker 16: Oh my gosh, we'll be able to power doctors, will

903
00:44:03,133 --> 00:44:06,093
Speaker 16: be a power nurses more. All are these people that

904
00:44:06,173 --> 00:44:07,973
Speaker 16: are struggling will have a bit more money. What we

905
00:44:08,053 --> 00:44:12,213
Speaker 16: need is boogie, What we need is commerce man like,

906
00:44:12,453 --> 00:44:13,973
Speaker 16: not not jelly.

907
00:44:14,253 --> 00:44:14,333
Speaker 17: Like.

908
00:44:14,493 --> 00:44:17,893
Speaker 16: I don't like seeing people who are just bitter and

909
00:44:18,493 --> 00:44:21,172
Speaker 16: because I'm not I'm not a wealthy person, but I'm

910
00:44:21,213 --> 00:44:24,533
Speaker 16: not gonna say, oh, look at that rich guy, I

911
00:44:24,533 --> 00:44:26,853
Speaker 16: should have some of his money, Like, I just don't

912
00:44:26,853 --> 00:44:31,653
Speaker 16: see it like that. I've chosen to buy certain things

913
00:44:31,653 --> 00:44:35,133
Speaker 16: in my life instead of investing and shares with that money.

914
00:44:35,173 --> 00:44:38,133
Speaker 16: And they they grew their money and I didn't in

915
00:44:38,173 --> 00:44:40,453
Speaker 16: that area, and so oh no, look what happened. They

916
00:44:40,493 --> 00:44:41,333
Speaker 16: have more money than me.

917
00:44:41,413 --> 00:44:41,813
Speaker 18: Who knew?

918
00:44:42,373 --> 00:44:46,053
Speaker 2: Yeah, well, I mean it's like everything, there's always someone

919
00:44:46,133 --> 00:44:48,013
Speaker 2: richer than you, and there's always someone poorer in you,

920
00:44:48,093 --> 00:44:50,973
Speaker 2: but we choose to always look. So a lot of

921
00:44:51,053 --> 00:44:52,733
Speaker 2: a lot of people are just looking at billionaires and

922
00:44:52,773 --> 00:44:57,213
Speaker 2: focusing totally on those people. But they're not focusing, you know,

923
00:44:57,293 --> 00:45:00,893
Speaker 2: comparing themselves with the majority of people in the world

924
00:45:00,893 --> 00:45:03,652
Speaker 2: that aren't born in New Zealand. Who would look at

925
00:45:03,693 --> 00:45:06,853
Speaker 2: us and think our like disgusting community. You know, the

926
00:45:06,853 --> 00:45:09,493
Speaker 2: amount of stuff we own and wait as they wouldn't

927
00:45:09,493 --> 00:45:12,893
Speaker 2: believe it, and then they wouldn't believe that we were.

928
00:45:12,933 --> 00:45:15,212
Speaker 2: Not only that, but we feel that we're poor and

929
00:45:15,253 --> 00:45:17,333
Speaker 2: we envy other people, you know, while we get our

930
00:45:17,373 --> 00:45:19,413
Speaker 2: food out of the fridge. The biggest concern is that

931
00:45:19,453 --> 00:45:22,013
Speaker 2: we don't get overweight with it. We're on these strict

932
00:45:22,013 --> 00:45:24,893
Speaker 2: diets to try and stay thin. You know, they would

933
00:45:24,933 --> 00:45:27,013
Speaker 2: look at us and go, not a huge difference between

934
00:45:27,013 --> 00:45:28,253
Speaker 2: you and a billionaire.

935
00:45:27,813 --> 00:45:32,293
Speaker 16: There, Oh you are, like I was raised in West Africa,

936
00:45:32,453 --> 00:45:36,613
Speaker 16: so you are living someone else's dream, I promise you, man.

937
00:45:36,813 --> 00:45:39,133
Speaker 16: And and if you want to wake up in the

938
00:45:39,173 --> 00:45:42,693
Speaker 16: morning and forget that and just be a bitter, twisted,

939
00:45:43,133 --> 00:45:46,733
Speaker 16: upset person, I can't. I can't anymore because I've seen

940
00:45:47,613 --> 00:45:52,373
Speaker 16: true poverty. Like we used to tip, like not purposefully,

941
00:45:52,493 --> 00:45:55,252
Speaker 16: but if we were driving down the road and we'd

942
00:45:55,293 --> 00:45:57,733
Speaker 16: had enough of what we were drinking, we would tip

943
00:45:58,253 --> 00:46:00,973
Speaker 16: our drink out the window and there would be three

944
00:46:01,133 --> 00:46:05,853
Speaker 16: mug like three bowls underneath that catching it in a fight.

945
00:46:06,493 --> 00:46:10,292
Speaker 16: Like it was terribly poor over there. And I can't

946
00:46:10,693 --> 00:46:13,013
Speaker 16: tell people it. You kind of have to see it.

947
00:46:13,053 --> 00:46:13,653
Speaker 9: For yourself.

948
00:46:13,733 --> 00:46:17,172
Speaker 16: But I personally wake up in this country every day

949
00:46:17,213 --> 00:46:21,453
Speaker 16: and I'm really, really, really rich. Yeah, you know, and

950
00:46:21,493 --> 00:46:24,493
Speaker 16: what do they says, You've got ten dollars in coins

951
00:46:24,493 --> 00:46:27,933
Speaker 16: in your car. You're in the top nine percentile in

952
00:46:27,933 --> 00:46:30,133
Speaker 16: the world or something. It's crazy something.

953
00:46:30,333 --> 00:46:32,493
Speaker 2: So there's all these people that are pointing the finger

954
00:46:32,613 --> 00:46:36,853
Speaker 2: and saying this disgusting wealth everywhere. But could you could

955
00:46:36,853 --> 00:46:39,093
Speaker 2: give away a lot? You could give away a lot.

956
00:46:39,213 --> 00:46:42,293
Speaker 2: I remember I was in India once and I got

957
00:46:42,293 --> 00:46:44,772
Speaker 2: confused with the money and I handed some money out

958
00:46:44,853 --> 00:46:48,172
Speaker 2: for some some roses. I saw something outside the car

959
00:46:48,213 --> 00:46:50,573
Speaker 2: and he was selling roses and I handed some money out,

960
00:46:50,573 --> 00:46:53,053
Speaker 2: and I handed way way more money than I intended out,

961
00:46:53,573 --> 00:46:56,772
Speaker 2: and it just caused this huge sensation. And it wasn't

962
00:46:56,773 --> 00:47:00,812
Speaker 2: even a lot of money really, but to me, and

963
00:47:00,973 --> 00:47:02,652
Speaker 2: I was just thinking that, you know, to them, to

964
00:47:02,733 --> 00:47:05,493
Speaker 2: that guy, that money that I handed out, you know,

965
00:47:05,533 --> 00:47:08,133
Speaker 2: that's that's that's I'm like.

966
00:47:08,933 --> 00:47:11,172
Speaker 3: Yeah, yeah, I'm kind of king handing out that sort

967
00:47:11,213 --> 00:47:11,573
Speaker 3: of money.

968
00:47:11,653 --> 00:47:12,093
Speaker 8: Yeah.

969
00:47:12,173 --> 00:47:15,253
Speaker 16: Yeah, So and you are, remember that you are? You know,

970
00:47:15,653 --> 00:47:19,212
Speaker 16: it depends on your perspective, Yeah yeah, yeah, And that's

971
00:47:19,253 --> 00:47:19,973
Speaker 16: really interesting.

972
00:47:20,253 --> 00:47:20,653
Speaker 9: Yeah.

973
00:47:20,773 --> 00:47:23,093
Speaker 2: Yeah, hey man, I'm so glad we kept you over

974
00:47:23,133 --> 00:47:26,573
Speaker 2: the over the break because you had some fantastic things

975
00:47:26,573 --> 00:47:26,853
Speaker 2: to say.

976
00:47:26,893 --> 00:47:29,453
Speaker 16: Really sure, I really had to say so, thinks thak

977
00:47:29,533 --> 00:47:29,893
Speaker 16: thaks go.

978
00:47:30,413 --> 00:47:33,333
Speaker 3: Thanks mate, what a great call and what a great philosophy.

979
00:47:33,973 --> 00:47:36,173
Speaker 3: Oh one hundred and eighty ten eighty is the number

980
00:47:36,173 --> 00:47:37,973
Speaker 3: to call love to hear your thoughts on what Matt

981
00:47:38,013 --> 00:47:40,652
Speaker 3: had to say. Is being born in New Zealand winning

982
00:47:40,653 --> 00:47:42,693
Speaker 3: the lottery of life and do we forget that sometimes?

983
00:47:42,693 --> 00:47:45,013
Speaker 3: And billionaires of course as well. How do you feel

984
00:47:45,013 --> 00:47:48,013
Speaker 3: about their existence? Should they be heavily taxed or do

985
00:47:48,093 --> 00:47:49,533
Speaker 3: they actually contribute to society?

986
00:47:50,333 --> 00:47:50,493
Speaker 6: Well?

987
00:47:50,533 --> 00:47:52,493
Speaker 2: I think heavily sex But anyway, it's better to have

988
00:47:52,573 --> 00:47:56,373
Speaker 2: government control businesses, says Mike, rather than big businesses control

989
00:47:56,413 --> 00:47:59,013
Speaker 2: and government with bribes and backhanded deals. There you go.

990
00:47:59,213 --> 00:48:02,253
Speaker 3: Yeah, it is sixteen plus two.

991
00:48:02,133 --> 00:48:06,493
Speaker 1: Your home of afternoon talk mad even Taylor Adams afternoons

992
00:48:06,493 --> 00:48:09,533
Speaker 1: call eight hundred eighty eight you talk said, be.

993
00:48:12,133 --> 00:48:14,692
Speaker 3: Afternoon to your nineteen past two. We've been talking about

994
00:48:14,693 --> 00:48:18,213
Speaker 3: billionaires and getting your thoughts about whether they should exist

995
00:48:18,213 --> 00:48:20,013
Speaker 3: at all? Is some people around the world in a

996
00:48:20,053 --> 00:48:24,213
Speaker 3: New Zealand say, or whether they contribute a lot to society?

997
00:48:24,533 --> 00:48:26,973
Speaker 2: Just thinking about what the last guy said. I was

998
00:48:26,973 --> 00:48:29,813
Speaker 2: in Africa for a trip once, says Michelle, a Texter.

999
00:48:29,973 --> 00:48:32,293
Speaker 2: We were traveling on a truck. I found a small

1000
00:48:32,373 --> 00:48:34,533
Speaker 2: village where this lady washed my clothes for me. I

1001
00:48:34,653 --> 00:48:37,333
Speaker 2: got the washing powder for her. I gave her five

1002
00:48:37,533 --> 00:48:40,652
Speaker 2: US dollars. She cried. I then took all my washing

1003
00:48:40,693 --> 00:48:42,813
Speaker 2: back to the truck, and everybody took theirs down to

1004
00:48:42,893 --> 00:48:45,373
Speaker 2: this lady. She made a fortune that day, but the

1005
00:48:45,533 --> 00:48:47,293
Speaker 2: entire village I would have done well out of it,

1006
00:48:47,333 --> 00:48:47,933
Speaker 2: as well.

1007
00:48:48,013 --> 00:48:52,173
Speaker 3: As a gorgeous story. But it puts things into perspective. Niko,

1008
00:48:52,413 --> 00:48:55,253
Speaker 3: how are you, mate.

1009
00:48:54,733 --> 00:48:59,212
Speaker 12: I'm fine, Tyler. I just want to say. One thing

1010
00:48:59,253 --> 00:49:02,213
Speaker 12: we must have realized is that the French Revolution was

1011
00:49:02,493 --> 00:49:05,652
Speaker 12: fought over the divide between the reach and the poor.

1012
00:49:05,773 --> 00:49:08,293
Speaker 12: That's two hundred and forty years ago, in seventeen eighty.

1013
00:49:09,293 --> 00:49:11,692
Speaker 12: We still have a reach and before today, and it

1014
00:49:11,773 --> 00:49:13,973
Speaker 12: is going to be like that one hundred years from now.

1015
00:49:14,093 --> 00:49:18,853
Speaker 12: It's a sad hility that will always have been made.

1016
00:49:19,973 --> 00:49:21,933
Speaker 12: There's nothing we can do about it. Even if you

1017
00:49:22,013 --> 00:49:24,973
Speaker 12: listen to Elvis Peasley, some baghetto song where these things

1018
00:49:25,013 --> 00:49:28,733
Speaker 12: about this wasn't fifty seven years ago that he made

1019
00:49:28,773 --> 00:49:32,093
Speaker 12: that song about. But were people struggling and they're still

1020
00:49:32,093 --> 00:49:36,093
Speaker 12: struggling today. It's a sad reality.

1021
00:49:35,333 --> 00:49:38,333
Speaker 3: Justly on that I mean, isn't that? And it might

1022
00:49:38,373 --> 00:49:40,453
Speaker 3: be hyperbolic to a lot of people out there, But

1023
00:49:40,533 --> 00:49:43,933
Speaker 3: you mentioned the French Revolution. That was a massive time

1024
00:49:43,933 --> 00:49:46,333
Speaker 3: of upheaval in the history of Europe and in many

1025
00:49:46,373 --> 00:49:48,933
Speaker 3: parts of the world because of that very reason, because

1026
00:49:48,973 --> 00:49:51,333
Speaker 3: of growing inequality, and that had enough of the powers

1027
00:49:51,333 --> 00:49:52,373
Speaker 3: that be in the royal family.

1028
00:49:52,453 --> 00:49:55,093
Speaker 2: Well, there are people in the States pulling up in

1029
00:49:55,093 --> 00:49:59,573
Speaker 2: front of rich people's houses with gallatines five exactly. People

1030
00:49:59,573 --> 00:50:01,053
Speaker 2: still remember what happened back then.

1031
00:50:01,173 --> 00:50:02,573
Speaker 3: Yeah.

1032
00:50:03,013 --> 00:50:07,973
Speaker 12: No, I personally, I'm just a manager for the automotive

1033
00:50:08,013 --> 00:50:13,093
Speaker 12: and Co Company, But I do love billionaires, although industry

1034
00:50:13,133 --> 00:50:17,493
Speaker 12: will not exist without them. Microsoft doesn't employ hundreds by

1035
00:50:17,613 --> 00:50:22,773
Speaker 12: employ thousands. Amazon doesn't employ hundreds by employee thousands. So

1036
00:50:22,973 --> 00:50:25,253
Speaker 12: if it was me and I know what I'm going

1037
00:50:25,293 --> 00:50:27,732
Speaker 12: to say next is going to make a swabbri choke

1038
00:50:27,813 --> 00:50:32,053
Speaker 12: on a kale and tofu sandwich. But I personally think

1039
00:50:32,093 --> 00:50:35,093
Speaker 12: billionaire should not even pay personal text because they do

1040
00:50:35,213 --> 00:50:36,053
Speaker 12: contribute enough.

1041
00:50:36,493 --> 00:50:37,773
Speaker 2: Wow, that's bad.

1042
00:50:37,973 --> 00:50:39,013
Speaker 3: Yep, it's a bold statement.

1043
00:50:39,053 --> 00:50:45,893
Speaker 2: The ass all billionaires or specific billionaires.

1044
00:50:46,813 --> 00:50:50,493
Speaker 12: Well, you know you can must probably go means testing them.

1045
00:50:50,533 --> 00:50:53,573
Speaker 12: But I would say if a billionaire does contribute to

1046
00:50:53,613 --> 00:50:57,373
Speaker 12: the economy or that country, or even to the global economy,

1047
00:50:57,453 --> 00:51:01,813
Speaker 12: then yeah, don't let him. A typical example is Amazon,

1048
00:51:01,853 --> 00:51:04,613
Speaker 12: and a typical example is Microsoft. Ware by owned by

1049
00:51:04,613 --> 00:51:08,133
Speaker 12: private people. And most people have created those companies which

1050
00:51:08,133 --> 00:51:11,093
Speaker 12: can jobs, which place business tax, and most people that

1051
00:51:11,293 --> 00:51:16,053
Speaker 12: work place income tax, so it's literally feeding their economy.

1052
00:51:16,653 --> 00:51:20,212
Speaker 12: Governments can't run economies. Governments do not have a money

1053
00:51:20,253 --> 00:51:22,493
Speaker 12: to run economies because I need to do it off taxpace.

1054
00:51:22,493 --> 00:51:25,013
Speaker 12: And if you give everything to the government to take

1055
00:51:25,013 --> 00:51:27,533
Speaker 12: a billionaires out of a picture, they will not be

1056
00:51:27,733 --> 00:51:32,093
Speaker 12: enough money to sustain the country, it's people, it's infrastructure,

1057
00:51:32,133 --> 00:51:34,973
Speaker 12: and give everybody as job, they will not be enough money.

1058
00:51:36,373 --> 00:51:41,053
Speaker 2: Now do you think, Niko that let's just say a

1059
00:51:41,093 --> 00:51:45,173
Speaker 2: billionaire who's got a super yacht and various other things,

1060
00:51:45,213 --> 00:51:51,893
Speaker 2: several palaces, giant mansions, who doesn't give anything back, would

1061
00:51:51,893 --> 00:51:54,453
Speaker 2: that be morally wrong? Would it be morally wrong to

1062
00:51:54,533 --> 00:51:57,253
Speaker 2: be that wealthy? And you know, as you point out,

1063
00:51:57,253 --> 00:51:59,813
Speaker 2: they're giving stuff back with their businesses and the income

1064
00:51:59,853 --> 00:52:03,253
Speaker 2: tax and such with their businesses. But to be sitting

1065
00:52:03,293 --> 00:52:08,213
Speaker 2: with a huge amount of wealth and excess resources and

1066
00:52:08,453 --> 00:52:11,413
Speaker 2: to not be a philanthropist of some sort, do you

1067
00:52:11,453 --> 00:52:13,252
Speaker 2: think that would be morally wrong?

1068
00:52:14,933 --> 00:52:16,292
Speaker 6: It depends on the matter.

1069
00:52:16,373 --> 00:52:18,973
Speaker 12: Depends on how they made the money as well as minute.

1070
00:52:19,493 --> 00:52:22,493
Speaker 12: If it doesn't, I don't know how he can make

1071
00:52:22,533 --> 00:52:27,493
Speaker 12: billions without having an industry to make it from people

1072
00:52:27,533 --> 00:52:30,013
Speaker 12: to work for you. But you know, even if a

1073
00:52:30,053 --> 00:52:34,693
Speaker 12: guy doesn't do philanthropical work with all these billions, I

1074
00:52:34,773 --> 00:52:37,213
Speaker 12: really don't care as long as he does contribute to

1075
00:52:37,293 --> 00:52:40,213
Speaker 12: the economy in the form of having a business that

1076
00:52:40,293 --> 00:52:44,413
Speaker 12: employs people, that gives the taxes to the government's coffers.

1077
00:52:44,493 --> 00:52:47,093
Speaker 12: When I've got no problem. You can have six or

1078
00:52:47,093 --> 00:52:48,773
Speaker 12: seven boats, and if he wants to give me one,

1079
00:52:48,773 --> 00:52:49,653
Speaker 12: I'll take it from.

1080
00:52:52,253 --> 00:52:52,933
Speaker 18: Yeah, but I.

1081
00:52:52,853 --> 00:52:55,613
Speaker 12: Would not knock him down. The most probably worked hard,

1082
00:52:55,693 --> 00:52:58,293
Speaker 12: or if he hasn't, his family has worked hard to

1083
00:52:58,453 --> 00:53:02,692
Speaker 12: achieve and they they don't make that money because they think,

1084
00:53:02,853 --> 00:53:04,172
Speaker 12: you know what, I'm going to be so rich, I'm

1085
00:53:04,213 --> 00:53:06,053
Speaker 12: just going to give money away. No way they make

1086
00:53:06,093 --> 00:53:08,493
Speaker 12: it to become rich to have a good lifestyle. Some

1087
00:53:08,533 --> 00:53:13,493
Speaker 12: of them becomes exuberantly rich, like Elon Musk. But they

1088
00:53:13,493 --> 00:53:16,453
Speaker 12: still give back Elon Musk and there's some satellite thing

1089
00:53:16,453 --> 00:53:20,613
Speaker 12: that he's got starlink, he said, just going to save

1090
00:53:20,693 --> 00:53:24,453
Speaker 12: those people from space that were stuck in the spacecrafting.

1091
00:53:25,293 --> 00:53:28,493
Speaker 12: So they do give back in that form. Narsok couldn't

1092
00:53:28,533 --> 00:53:30,773
Speaker 12: do it, America couldn't do it, but Elon Musk did it.

1093
00:53:30,853 --> 00:53:33,853
Speaker 12: And people must appreciate that if he wasn't that reach,

1094
00:53:33,973 --> 00:53:37,293
Speaker 12: you wouldn't have that facilities and that ability to.

1095
00:53:37,333 --> 00:53:39,573
Speaker 3: Do are they, Yeah, that's sport when it comes to

1096
00:53:39,653 --> 00:53:42,493
Speaker 3: Elon Musk has type of altruism as innovation, right, And

1097
00:53:42,573 --> 00:53:44,533
Speaker 3: I think he got into the idea of space X

1098
00:53:44,653 --> 00:53:46,853
Speaker 3: because he was worried about the planet that we live

1099
00:53:46,933 --> 00:53:48,733
Speaker 3: on and we may need Mars at some stage.

1100
00:53:48,893 --> 00:53:51,333
Speaker 2: Yeah. Well, I mean, whether you agree with Elon Musk

1101
00:53:51,453 --> 00:53:53,893
Speaker 2: or not, he has his principles that he believes and

1102
00:53:54,053 --> 00:53:57,053
Speaker 2: he follows them. Free speech he thought that was a problem,

1103
00:53:57,133 --> 00:54:00,253
Speaker 2: so he bought X. Worried about paralyzed people, who's got

1104
00:54:00,333 --> 00:54:03,893
Speaker 2: neuro length, your reusable rockets, what you're talking about with

1105
00:54:04,413 --> 00:54:07,013
Speaker 2: the Mars, and thinking that there needs to be he

1106
00:54:07,093 --> 00:54:09,373
Speaker 2: believes in consciousness it needs to be at least two

1107
00:54:09,413 --> 00:54:13,333
Speaker 2: places in the solar system with human consciousness. The Internet

1108
00:54:13,453 --> 00:54:16,133
Speaker 2: that you know, they're starlink that you're talking about, Nico's

1109
00:54:16,253 --> 00:54:21,253
Speaker 2: that's global Internet access. He's disrupted the auto industry, the

1110
00:54:21,373 --> 00:54:25,533
Speaker 2: largest ev charging networks, those the batteries just going on

1111
00:54:26,773 --> 00:54:28,813
Speaker 2: he bought. If you're an American, you might care that

1112
00:54:28,893 --> 00:54:31,613
Speaker 2: he's brought high tech manufacturing back to the States.

1113
00:54:32,533 --> 00:54:35,453
Speaker 3: But you know, he cares about humanity, no doubt about it.

1114
00:54:35,613 --> 00:54:38,373
Speaker 3: Whatever you think of Elon Musk, he deeply cares about humanity.

1115
00:54:38,453 --> 00:54:39,813
Speaker 3: But he does have a.

1116
00:54:40,053 --> 00:54:43,173
Speaker 2: Huge for what he believes is important. Because of his

1117
00:54:43,293 --> 00:54:46,773
Speaker 2: great wealth, he has the ability to wield influence that

1118
00:54:47,053 --> 00:54:49,652
Speaker 2: the likes of you and I don't. And I think

1119
00:54:49,773 --> 00:54:52,053
Speaker 2: that's what makes people a little bit uncomfortable what he

1120
00:54:52,213 --> 00:54:55,933
Speaker 2: cares about. He gets to influence and that worries some

1121
00:54:56,213 --> 00:55:00,693
Speaker 2: some people, but not you. Nico. You love the billionaires, No, I.

1122
00:55:01,013 --> 00:55:05,453
Speaker 12: Love a billionaires. I don't know if you guys knew

1123
00:55:05,493 --> 00:55:10,333
Speaker 12: that somewhat of a place in Western Trailer Contry member Remotel,

1124
00:55:11,013 --> 00:55:13,013
Speaker 12: he said to them, look, I'll bold the batteries for

1125
00:55:13,173 --> 00:55:15,733
Speaker 12: this place, and if I boilded in time, then you

1126
00:55:15,853 --> 00:55:17,693
Speaker 12: guys can buy of me for cheap. Buddy, if I

1127
00:55:17,733 --> 00:55:20,813
Speaker 12: don't boulded by the deadline, then I will have run

1128
00:55:20,893 --> 00:55:22,853
Speaker 12: this country or boast batteries, and I'll pay for it

1129
00:55:22,893 --> 00:55:25,253
Speaker 12: for as long as the tell them exists. And this

1130
00:55:25,413 --> 00:55:27,813
Speaker 12: is the kind of man that Elon Muski's.

1131
00:55:28,093 --> 00:55:30,293
Speaker 2: Na so much for your call, Thank you so much

1132
00:55:30,333 --> 00:55:30,893
Speaker 2: for your cool neck.

1133
00:55:31,093 --> 00:55:32,333
Speaker 12: So we like to, you know, we do.

1134
00:55:33,173 --> 00:55:35,973
Speaker 2: The question that we started with was, you know, should

1135
00:55:35,973 --> 00:55:38,493
Speaker 2: billionaires exist? Nico goes not only that, but he.

1136
00:55:38,573 --> 00:55:41,093
Speaker 3: Loves them, Yeah, love him and don't take them a thing.

1137
00:55:41,373 --> 00:55:45,693
Speaker 2: Absolutely loves the mansions and the boats have to have

1138
00:55:45,853 --> 00:55:48,493
Speaker 2: staff to run them. Says this text. The top ten

1139
00:55:48,533 --> 00:55:51,093
Speaker 2: percent that pay income tax in New Zealand pay forty

1140
00:55:51,133 --> 00:55:52,853
Speaker 2: two percent of all the tax in New Zealand.

1141
00:55:53,413 --> 00:55:53,773
Speaker 8: There you go.

1142
00:55:54,013 --> 00:55:55,933
Speaker 2: Ah, but this sex says, guys, the top ten percent

1143
00:55:55,973 --> 00:55:57,893
Speaker 2: of New Zealand is pay eighty percent of the income

1144
00:55:57,973 --> 00:56:00,013
Speaker 2: tax in New Zealand. Or I think that's actually the

1145
00:56:00,053 --> 00:56:00,613
Speaker 2: correct number.

1146
00:56:00,733 --> 00:56:04,013
Speaker 3: Yeah, keep those texts coming through. On nine two nine two,

1147
00:56:04,333 --> 00:56:05,973
Speaker 3: we're going to take a quick break in his twenty

1148
00:56:06,133 --> 00:56:07,013
Speaker 3: seven past two.

1149
00:56:10,933 --> 00:56:14,613
Speaker 1: Matt Heathen Tyler Adams afternoons call oh eight hundred eighty

1150
00:56:14,693 --> 00:56:16,493
Speaker 1: ten eighty on Youth Talk ZB.

1151
00:56:16,573 --> 00:56:18,973
Speaker 3: Twenty nine past two, we've been talking about billionaires. Has

1152
00:56:18,973 --> 00:56:21,652
Speaker 3: been a lot of pushback against billionaires around the world.

1153
00:56:21,693 --> 00:56:24,093
Speaker 3: But how do you feel, oh, eight hundred eighty ten

1154
00:56:24,173 --> 00:56:27,533
Speaker 3: eighty are they good or do you say they should

1155
00:56:27,573 --> 00:56:28,693
Speaker 3: be done away with?

1156
00:56:29,693 --> 00:56:29,733
Speaker 19: This?

1157
00:56:29,773 --> 00:56:32,493
Speaker 2: Says Musk is a Nazi? Did you not see his salute? Well,

1158
00:56:32,533 --> 00:56:36,413
Speaker 2: I think that's been massively debunked, and there's I mean

1159
00:56:36,573 --> 00:56:39,613
Speaker 2: every single person, you know, instantly, every single person that

1160
00:56:39,733 --> 00:56:42,093
Speaker 2: was accusing of of that has been seen holding their

1161
00:56:42,093 --> 00:56:46,093
Speaker 2: hand in that particular way, so that one's probably debunked.

1162
00:56:46,133 --> 00:56:50,253
Speaker 2: Whatever you think of of Elon Musk. What is the number?

1163
00:56:50,773 --> 00:56:53,773
Speaker 2: What is the number of what the top ten percent

1164
00:56:53,893 --> 00:56:58,093
Speaker 2: in New Zealand of Ernes's pay tax. It's a large

1165
00:56:58,093 --> 00:56:59,692
Speaker 2: percentage of the money coming in, but it's very hard

1166
00:56:59,693 --> 00:57:01,373
Speaker 2: to work out exactly what it is across all the

1167
00:57:01,453 --> 00:57:04,853
Speaker 2: different different types of tacks that are paid.

1168
00:57:05,053 --> 00:57:05,252
Speaker 9: Yeah.

1169
00:57:05,493 --> 00:57:07,293
Speaker 3: Yeah, that's the tricky bar. But we'll try and find

1170
00:57:07,293 --> 00:57:10,813
Speaker 3: out that information. I think stats does have that, because.

1171
00:57:10,453 --> 00:57:14,213
Speaker 2: George says, you absolute muppet, eighty percent is not the

1172
00:57:14,253 --> 00:57:17,293
Speaker 2: correct number. Okay, George, we'll send us, send us George,

1173
00:57:17,853 --> 00:57:18,973
Speaker 2: send us your working.

1174
00:57:18,773 --> 00:57:21,733
Speaker 3: So we know, yep, give us the evidence George nine

1175
00:57:22,053 --> 00:57:25,173
Speaker 3: nine two is that text number? But Debra, you reckon

1176
00:57:25,213 --> 00:57:27,013
Speaker 3: it's pretty good to have billionaires?

1177
00:57:28,413 --> 00:57:31,693
Speaker 19: Hi, Matt, and hello Tyler. So yes, I think it's

1178
00:57:31,773 --> 00:57:35,853
Speaker 19: perfectly okay to have billionaires. I thought I found out it.

1179
00:57:36,093 --> 00:57:38,853
Speaker 19: I'd learned it all by myself once because I heard

1180
00:57:38,933 --> 00:57:43,293
Speaker 19: on the radio someone was interviewing a man from an

1181
00:57:43,333 --> 00:57:48,013
Speaker 19: Englishman who probably forty years ago began thought to himself,

1182
00:57:48,733 --> 00:57:52,253
Speaker 19: I want to start up a chocolate making company. I

1183
00:57:52,493 --> 00:57:55,933
Speaker 19: want to start up a chocolate making company which makes

1184
00:57:56,053 --> 00:57:57,773
Speaker 19: absolutely beautiful chocolate.

1185
00:57:58,013 --> 00:58:01,973
Speaker 2: Wasn't Willy Wonka, No, I don't think a lot of

1186
00:58:02,053 --> 00:58:02,653
Speaker 2: Willy Wonka.

1187
00:58:03,693 --> 00:58:06,173
Speaker 19: So the story, So the story was, you know that

1188
00:58:06,333 --> 00:58:09,693
Speaker 19: this Englishman had to borrow a lot of money and

1189
00:58:09,773 --> 00:58:11,853
Speaker 19: then he had to take a trip on a ship

1190
00:58:12,533 --> 00:58:15,333
Speaker 19: with some people who believed in his ideas over to

1191
00:58:15,453 --> 00:58:19,653
Speaker 19: Africa to find some people who would plant help him

1192
00:58:19,733 --> 00:58:25,053
Speaker 19: plant a plantation of cocoa bean plants. He had to

1193
00:58:25,133 --> 00:58:27,213
Speaker 19: go through you know, four five, six, seven, eight, nine,

1194
00:58:27,293 --> 00:58:31,213
Speaker 19: ten years. Whoever, however, before the trees were ready to

1195
00:58:31,333 --> 00:58:35,533
Speaker 19: produce cocoa beans, which he then had to back in England,

1196
00:58:35,973 --> 00:58:38,613
Speaker 19: he made a come, he made a factory, he had

1197
00:58:38,693 --> 00:58:41,853
Speaker 19: to pay builders to build the factory. He had to

1198
00:58:41,973 --> 00:58:46,933
Speaker 19: employ engineers to build phenomenal machinery within that factory to

1199
00:58:47,213 --> 00:58:51,693
Speaker 19: create glorious little chocolate, different ones, and you know, lovely

1200
00:58:51,933 --> 00:58:54,333
Speaker 19: wrapping and a beautiful box at the end that all

1201
00:58:54,373 --> 00:58:57,493
Speaker 19: the chocolates fitted into. He had to pay the workers

1202
00:58:57,893 --> 00:59:00,733
Speaker 19: or the employees in Africa. He had to play the

1203
00:59:00,853 --> 00:59:04,813
Speaker 19: ship man with all of his container loads of huge cocoa.

1204
00:59:06,173 --> 00:59:09,933
Speaker 19: You know this common true name. And so I worked out,

1205
00:59:10,013 --> 00:59:14,613
Speaker 19: and then eventually after about ten or fifteen years, over

1206
00:59:14,693 --> 00:59:20,053
Speaker 19: those years, he paid hundreds of people employment wages so

1207
00:59:20,173 --> 00:59:24,493
Speaker 19: that those people they were very benefited. They actually had

1208
00:59:24,533 --> 00:59:27,213
Speaker 19: a life because they worked for someone and that he

1209
00:59:27,373 --> 00:59:29,693
Speaker 19: paid them a wage. But he had borrowed that money,

1210
00:59:30,093 --> 00:59:32,773
Speaker 19: so he had stress on his mind, he has to

1211
00:59:32,813 --> 00:59:35,213
Speaker 19: pay this money back and find this is a real

1212
00:59:35,573 --> 00:59:38,813
Speaker 19: true story. And then after ten or fifteen years, he

1213
00:59:39,093 --> 00:59:42,013
Speaker 19: finally got over all of the bills that he had

1214
00:59:42,053 --> 00:59:44,293
Speaker 19: to pay and all of the loans he had made,

1215
00:59:45,013 --> 00:59:47,493
Speaker 19: and all of the lives that he had given life

1216
00:59:47,573 --> 00:59:50,133
Speaker 19: to because they worked for him and he paid them away.

1217
00:59:50,733 --> 00:59:53,653
Speaker 19: He finally started to make a profit after ten or

1218
00:59:53,693 --> 00:59:57,013
Speaker 19: fifteen years, and in my heart, I thought, I'm so

1219
00:59:57,213 --> 00:59:59,973
Speaker 19: glad you're making a profit. And are you a billionaire? Now,

1220
01:00:00,213 --> 01:00:03,293
Speaker 19: I'm so glad you are because you had a dream.

1221
01:00:03,973 --> 01:00:05,973
Speaker 19: You took a lot of people on board with you

1222
01:00:06,373 --> 01:00:09,853
Speaker 19: with your dream. They helped the your dream, and you

1223
01:00:10,653 --> 01:00:13,933
Speaker 19: paid them a wage all the time. And guess what,

1224
01:00:14,613 --> 01:00:18,173
Speaker 19: all around the world people enjoyed the beauty of a

1225
01:00:18,293 --> 01:00:19,293
Speaker 19: fantastic chocolate.

1226
01:00:19,493 --> 01:00:20,373
Speaker 2: Who was That's one thing.

1227
01:00:20,453 --> 01:00:26,933
Speaker 19: I can't member's name, but there's a man.

1228
01:00:27,053 --> 01:00:28,533
Speaker 3: That's the man I've also loved, Jeremy.

1229
01:00:30,413 --> 01:00:32,933
Speaker 19: I've also lived in a city in New Zealand and

1230
01:00:33,093 --> 01:00:34,973
Speaker 19: there was a man who did a similar thing, but

1231
01:00:35,453 --> 01:00:39,333
Speaker 19: not with chocolates. He did it with another vegetable or fruit.

1232
01:00:39,533 --> 01:00:40,933
Speaker 19: I'm not going to just say which one it was.

1233
01:00:41,013 --> 01:00:44,853
Speaker 19: And I thought, no, we're not talking about that at

1234
01:00:44,853 --> 01:00:47,053
Speaker 19: the moment. So he made a life for other people.

1235
01:00:47,453 --> 01:00:50,013
Speaker 19: But he was the one who went overseas to create

1236
01:00:50,493 --> 01:00:55,093
Speaker 19: markets overseas for his projects. He beard all the stress

1237
01:00:55,253 --> 01:00:59,093
Speaker 19: and I'm saying and then he gave fruit to another country.

1238
01:00:59,453 --> 01:01:01,493
Speaker 19: He gave fruit to people in New Zealand. He gave

1239
01:01:01,573 --> 01:01:04,133
Speaker 19: works to people in New Zealand, the same as the

1240
01:01:04,213 --> 01:01:07,453
Speaker 19: Englishman gave work to people. They give work and if

1241
01:01:07,533 --> 01:01:10,853
Speaker 19: they become billionaires, I'm very happy for them. They've been

1242
01:01:10,933 --> 01:01:13,453
Speaker 19: through so much tension.

1243
01:01:13,573 --> 01:01:15,693
Speaker 2: And then yeah, thank you so much, Debri. We've got

1244
01:01:15,733 --> 01:01:16,213
Speaker 2: to go for the news.

1245
01:01:16,293 --> 01:01:18,653
Speaker 3: Yep, we'll go here for sharing hot on our taial.

1246
01:01:18,693 --> 01:01:21,373
Speaker 3: But thank you very much. It is twenty six to three.

1247
01:01:23,773 --> 01:01:26,133
Speaker 1: You talks the headlines with.

1248
01:01:26,253 --> 01:01:27,373
Speaker 13: Blue bubble taxis.

1249
01:01:27,533 --> 01:01:29,373
Speaker 3: It's no trouble with a blue bubble.

1250
01:01:30,013 --> 01:01:33,693
Speaker 13: Cabinets approved a gun law overhaul, promising it will improve

1251
01:01:33,773 --> 01:01:37,813
Speaker 13: public safety, easing up on licensed gun owners but adding

1252
01:01:37,893 --> 01:01:42,253
Speaker 13: harsher penalties. It doesn't include Associate Justice Minister Nicole McKee's

1253
01:01:42,293 --> 01:01:48,333
Speaker 13: bid to allow greater access to military style semi automatic weapons. Cannabis,

1254
01:01:48,333 --> 01:01:52,133
Speaker 13: s meth and phetamine MDMA and cocaine will be screened

1255
01:01:52,213 --> 01:01:56,253
Speaker 13: in police roadside saliva tests from December, starting in the

1256
01:01:56,293 --> 01:02:01,013
Speaker 13: Wellington district. Labour's Marty caucus leader has confirmed the party

1257
01:02:01,093 --> 01:02:05,053
Speaker 13: won't take into Party Mardi's ousted electorate MPs and is

1258
01:02:05,133 --> 01:02:08,853
Speaker 13: keen to contest any by election. Works Day has been

1259
01:02:08,933 --> 01:02:12,453
Speaker 13: advised after a person died yesterday at a property in

1260
01:02:12,653 --> 01:02:15,573
Speaker 13: a way to Order in the Taradua district after an

1261
01:02:15,653 --> 01:02:21,053
Speaker 13: all terrain vehicle accident. Yesterday, Dunedin's students, leaving the flats

1262
01:02:21,093 --> 01:02:23,973
Speaker 13: to head off on a summer holiday have left piles

1263
01:02:24,013 --> 01:02:27,613
Speaker 13: of furniture and rubbish in the streets, with university provided

1264
01:02:27,733 --> 01:02:31,853
Speaker 13: skips full to overflowing. A decision is nearing on a

1265
01:02:31,933 --> 01:02:35,613
Speaker 13: controversial quarry project near Hastings. Get the full story at

1266
01:02:35,733 --> 01:02:38,933
Speaker 13: Enzaid Herald Premium. Back now to Matt Ethan Tyler Adams.

1267
01:02:39,053 --> 01:02:40,333
Speaker 3: Thank you very much, Rayleane.

1268
01:02:40,373 --> 01:02:42,053
Speaker 2: Now, a lot of people are convinced, like I was,

1269
01:02:42,093 --> 01:02:44,453
Speaker 2: that Deborah was talking about Willy Wonka there in that chat.

1270
01:02:44,613 --> 01:02:46,173
Speaker 3: It felt like it sounds like.

1271
01:02:46,173 --> 01:02:49,333
Speaker 2: Willy Wonka hiring the Apulius since this texter he did.

1272
01:02:49,573 --> 01:02:51,613
Speaker 2: You were right, Matt at the start she was definitely

1273
01:02:51,613 --> 01:02:55,933
Speaker 2: talking about Willy Wonka. And this person says, amazing, Debora

1274
01:02:55,973 --> 01:02:58,213
Speaker 2: could remember every detail of that Willy Wonka story, but

1275
01:02:58,453 --> 01:02:59,373
Speaker 2: not what his name was.

1276
01:02:59,533 --> 01:03:02,373
Speaker 3: Yeah, he was the master capitalist, though wasn't a Willy Wonka.

1277
01:03:02,693 --> 01:03:03,613
Speaker 3: Very very smart man.

1278
01:03:03,773 --> 01:03:04,733
Speaker 2: Oh, the.

1279
01:03:06,213 --> 01:03:07,973
Speaker 3: Devious though very devious.

1280
01:03:08,133 --> 01:03:09,893
Speaker 2: I'm mean, I don't know if I trust them.

1281
01:03:10,013 --> 01:03:12,133
Speaker 3: Their working conditions were pretty tough, the old on polymps.

1282
01:03:12,213 --> 01:03:15,853
Speaker 2: Yeah, I mean, there's questions around the plumper's polymper's situation.

1283
01:03:15,973 --> 01:03:18,173
Speaker 2: But also, you know, inviting a bunch of kids into

1284
01:03:18,213 --> 01:03:20,773
Speaker 2: a factory and then nearly killing most of them.

1285
01:03:21,493 --> 01:03:24,013
Speaker 3: Yeah, yeah, yeah, I don't know what the morality is

1286
01:03:24,053 --> 01:03:26,493
Speaker 3: of that story, but good order, but I loved them.

1287
01:03:26,973 --> 01:03:29,493
Speaker 2: Sometimes people will watch a movie and think it's a documentary.

1288
01:03:30,013 --> 01:03:33,133
Speaker 3: Very true, right, Jacob, how are you? Mates?

1289
01:03:34,053 --> 01:03:34,493
Speaker 9: Oh you good?

1290
01:03:34,573 --> 01:03:38,373
Speaker 3: Thanks, wem And you want to talk about redistribution of wealth?

1291
01:03:39,213 --> 01:03:42,213
Speaker 9: Well, yeah, and I just I heard oh I forgot

1292
01:03:42,293 --> 01:03:44,053
Speaker 9: his name, great chet though he was on the phone

1293
01:03:45,013 --> 01:03:47,933
Speaker 9: phone calls again, Matt, Yes it was I heard him

1294
01:03:47,973 --> 01:03:51,853
Speaker 9: talking about redistribution. Yeah, and I just didn't hear much

1295
01:03:51,893 --> 01:03:54,813
Speaker 9: pushback about it. And I'd just like to I'd like

1296
01:03:54,893 --> 01:03:59,093
Speaker 9: to clarify from the reasonable left wing in this country,

1297
01:03:59,133 --> 01:04:01,453
Speaker 9: which doesn't include the Green Party or to Party, Marty,

1298
01:04:01,493 --> 01:04:06,173
Speaker 9: I'd like to confirm you hear. Yeah, there's still the

1299
01:04:06,253 --> 01:04:09,013
Speaker 9: reasonable left in this country. And when we say redistribution,

1300
01:04:09,813 --> 01:04:13,213
Speaker 9: nobody is talking about going into your bank account and

1301
01:04:13,333 --> 01:04:16,573
Speaker 9: giving it to someone down the road. That's theft. Well,

1302
01:04:16,693 --> 01:04:19,533
Speaker 9: everyone admits that theft, and no one thinks.

1303
01:04:19,293 --> 01:04:21,653
Speaker 2: Well, I mean, but I mean that that sort of

1304
01:04:21,693 --> 01:04:23,253
Speaker 2: does that, I mean, that's kind of what taxes though

1305
01:04:23,333 --> 01:04:24,733
Speaker 2: isn't it to a certain extent, and we will.

1306
01:04:24,693 --> 01:04:27,373
Speaker 9: Of course, yeah, of course looking to a libertarianism, you know,

1307
01:04:27,653 --> 01:04:31,693
Speaker 9: from there, from there with you man. But in this country,

1308
01:04:32,733 --> 01:04:36,293
Speaker 9: most of the capital which needs to be in the economy,

1309
01:04:36,333 --> 01:04:39,373
Speaker 9: the argument is that it's held in property and it's

1310
01:04:39,453 --> 01:04:43,053
Speaker 9: not being used. Yep, that's the argument. The argument is

1311
01:04:43,093 --> 01:04:46,613
Speaker 9: that it's stagnant capital, and so redistributing it doesn't mean

1312
01:04:46,693 --> 01:04:49,573
Speaker 9: redistributing it to poor people. I mean redistributing it to peoplehere.

1313
01:04:49,573 --> 01:04:52,213
Speaker 9: They're going to use it and build businesses instead of

1314
01:04:52,253 --> 01:04:53,253
Speaker 9: buying three houses.

1315
01:04:53,893 --> 01:04:59,413
Speaker 2: Right, So just redistributed into the stock market, redistributed into

1316
01:05:00,813 --> 01:05:05,373
Speaker 2: starting businesses and trying trying other stuff rather than property

1317
01:05:05,453 --> 01:05:05,933
Speaker 2: to make money.

1318
01:05:06,853 --> 01:05:09,453
Speaker 9: Well, yes, and that doesn't necessarily I mean government businesses.

1319
01:05:09,693 --> 01:05:11,813
Speaker 9: It just means our country is too small to have

1320
01:05:11,933 --> 01:05:15,413
Speaker 9: an economy built on property ownership and houses.

1321
01:05:15,773 --> 01:05:16,453
Speaker 1: We're too small.

1322
01:05:16,493 --> 01:05:18,853
Speaker 3: We have our eggs and multiple baskets. You're quite right,

1323
01:05:18,893 --> 01:05:21,173
Speaker 3: and I think there's many I think Liam Dan wrote

1324
01:05:21,173 --> 01:05:22,613
Speaker 3: a piece about we've got a lot of our wealth

1325
01:05:22,653 --> 01:05:23,453
Speaker 3: tied up in property.

1326
01:05:23,933 --> 01:05:26,933
Speaker 2: The problem is that no one has the It's very

1327
01:05:27,053 --> 01:05:30,773
Speaker 2: hard for people to you know, once you've gone down

1328
01:05:30,853 --> 01:05:35,253
Speaker 2: a track, Jacob, that we have and people have invested,

1329
01:05:35,293 --> 01:05:38,733
Speaker 2: and maybe the settings were set wrong quite a long

1330
01:05:38,773 --> 01:05:40,733
Speaker 2: time ago. And I know people talk about that stock

1331
01:05:40,773 --> 01:05:44,853
Speaker 2: market crash in the late eighties that and you know,

1332
01:05:44,933 --> 01:05:46,893
Speaker 2: the whole of the country everyone was investing in the

1333
01:05:46,893 --> 01:05:48,653
Speaker 2: stock market and then it crashed, and then the whole

1334
01:05:48,653 --> 01:05:53,253
Speaker 2: country got a collective fear of investing outside of property.

1335
01:05:53,733 --> 01:05:56,253
Speaker 2: So once those decisions have made been made, and we've

1336
01:05:56,613 --> 01:05:59,053
Speaker 2: we've gone this far down the path that we are,

1337
01:05:59,653 --> 01:06:04,013
Speaker 2: and we may need imagine a major writing and that

1338
01:06:04,133 --> 01:06:06,933
Speaker 2: writing might happen whether we want it or not. But

1339
01:06:07,053 --> 01:06:09,213
Speaker 2: it's hard to do it without pain, isn't it. And

1340
01:06:09,893 --> 01:06:13,013
Speaker 2: that and that pain will be felt at the you know,

1341
01:06:13,173 --> 01:06:15,773
Speaker 2: at the ballot box, anyone that tries to do it exactly.

1342
01:06:16,133 --> 01:06:18,573
Speaker 9: Well, yeah, and when it gets that the New Zealand

1343
01:06:18,613 --> 01:06:21,493
Speaker 9: feeling of egoitarians was really strong, like we really care

1344
01:06:21,533 --> 01:06:23,853
Speaker 9: about equality, Yeah, we do. And no one wants to

1345
01:06:23,973 --> 01:06:28,173
Speaker 9: take away someone's money that they've worked hard for, right

1346
01:06:28,253 --> 01:06:30,773
Speaker 9: because it's not fair. It's just blatantly not fair. Yeah,

1347
01:06:30,853 --> 01:06:33,973
Speaker 9: But I think we can also recognize that. You know,

1348
01:06:34,013 --> 01:06:36,493
Speaker 9: I hate to bleep my own case for a minute,

1349
01:06:36,493 --> 01:06:39,493
Speaker 9: but I work forty hours a week, and unless I

1350
01:06:39,613 --> 01:06:41,853
Speaker 9: find a partner who also works forty hours a week

1351
01:06:41,893 --> 01:06:43,653
Speaker 9: in a pretty decent job, I have no hope in

1352
01:06:43,733 --> 01:06:45,573
Speaker 9: hell of owning one bit of earth in this country.

1353
01:06:47,653 --> 01:06:49,853
Speaker 2: I mean, where do you where? Where do you want

1354
01:06:49,893 --> 01:06:50,173
Speaker 2: to live?

1355
01:06:51,173 --> 01:06:53,213
Speaker 9: I even hawks may, I've got no plans for moving.

1356
01:06:53,413 --> 01:06:56,413
Speaker 2: Yeah, it's just that because it was recently, because I

1357
01:06:56,493 --> 01:06:59,013
Speaker 2: interviewed someone recently that said that two people on Oh

1358
01:06:59,133 --> 01:07:01,453
Speaker 2: you're saying you need a partner, but yeah, two people

1359
01:07:01,493 --> 01:07:07,413
Speaker 2: on the waves can buy can buy a townhouse for example,

1360
01:07:07,453 --> 01:07:07,773
Speaker 2: you know what I.

1361
01:07:07,813 --> 01:07:11,013
Speaker 9: Mean, requils with two people. Yeah, and that's fine, that's

1362
01:07:11,053 --> 01:07:13,053
Speaker 9: great as it is, like we're lucky to have in

1363
01:07:13,133 --> 01:07:16,533
Speaker 9: that position that that's available. But I also think in

1364
01:07:16,653 --> 01:07:18,853
Speaker 9: the spirit of Krewe fairness and being able to give

1365
01:07:18,853 --> 01:07:22,013
Speaker 9: it a go, anyone should really be able to. And

1366
01:07:22,213 --> 01:07:25,573
Speaker 9: the problem is is that good people. They are good people,

1367
01:07:25,653 --> 01:07:27,493
Speaker 9: And I don't want to misconstrue what I'm saying. They

1368
01:07:27,533 --> 01:07:29,573
Speaker 9: are good people that even though they are holding two

1369
01:07:29,693 --> 01:07:32,533
Speaker 9: or three or four or five houses, they're good people

1370
01:07:32,573 --> 01:07:34,373
Speaker 9: and they're not bastards. That doesn't mean they want to

1371
01:07:35,053 --> 01:07:38,333
Speaker 9: make everyone poor. But I don't think they realize the

1372
01:07:38,453 --> 01:07:40,693
Speaker 9: damage they're doing to their children's generation.

1373
01:07:41,013 --> 01:07:41,333
Speaker 2: That's all.

1374
01:07:41,773 --> 01:07:43,653
Speaker 9: That's all I think. I don't think they realize the

1375
01:07:43,773 --> 01:07:44,653
Speaker 9: damage that they're doing.

1376
01:07:45,133 --> 01:07:49,733
Speaker 2: Yeah, well, thank you for calling, Jacob, and well well

1377
01:07:49,773 --> 01:07:50,813
Speaker 2: presented of your opinion.

1378
01:07:50,973 --> 01:07:53,613
Speaker 3: Yeah yeah, nicely said. And a lot of people will

1379
01:07:53,613 --> 01:07:56,173
Speaker 3: share your your thoughts on that, Jacob, Oh, one hundred

1380
01:07:56,173 --> 01:07:58,493
Speaker 3: and eighty ten eighty is the number to call. Can

1381
01:07:58,493 --> 01:08:01,293
Speaker 3: you hear your thoughts on how you view billionaires? There's

1382
01:08:01,293 --> 01:08:04,213
Speaker 3: a lot of pushback on billionaires. Nine to nine to

1383
01:08:04,333 --> 01:08:05,213
Speaker 3: is the text number as well.

1384
01:08:06,533 --> 01:08:09,613
Speaker 1: Have a chat with the lads on eighty ten eighty

1385
01:08:09,893 --> 01:08:12,853
Speaker 1: mad Heathen Taylor Adams afternoons news talks.

1386
01:08:12,853 --> 01:08:14,653
Speaker 3: That'd be it as fourteen to three.

1387
01:08:14,853 --> 01:08:17,933
Speaker 2: So I said to George rather churlishly, if you're going

1388
01:08:17,973 --> 01:08:21,213
Speaker 2: to hassle my numbers seeing your numbers, you did, and George,

1389
01:08:21,412 --> 01:08:23,652
Speaker 2: to his credit, has sent his numbers in. Yes. Around

1390
01:08:24,253 --> 01:08:25,452
Speaker 2: what tax brackets pay?

1391
01:08:26,173 --> 01:08:26,452
Speaker 15: You know what?

1392
01:08:26,652 --> 01:08:30,173
Speaker 2: What earners in this country pay? What share of the tax?

1393
01:08:31,013 --> 01:08:34,052
Speaker 2: So income tax year. Based on ID data and Treasury

1394
01:08:34,093 --> 01:08:37,452
Speaker 2: distribution reports, the top ten percent of individual earners in

1395
01:08:37,532 --> 01:08:40,412
Speaker 2: New Zealand pay about fifty percent of all income tax

1396
01:08:40,452 --> 01:08:42,372
Speaker 2: collected in New Zealand. So the top ten percent pay

1397
01:08:42,492 --> 01:08:44,652
Speaker 2: half of all the tax pretty much, forty five percent

1398
01:08:44,732 --> 01:08:47,893
Speaker 2: to fifty percent. This means for every one dollar of

1399
01:08:47,973 --> 01:08:50,932
Speaker 2: income tax collected, roughly fifty cents comes from the top

1400
01:08:51,013 --> 01:08:54,812
Speaker 2: ten percent. The top two percent contribute about seventeen to

1401
01:08:54,973 --> 01:08:58,253
Speaker 2: twenty percent of all the income tax. The bottom forty

1402
01:08:58,293 --> 01:09:01,452
Speaker 2: percent of earners contribute less than ten percent of income tax. Jesse,

1403
01:09:01,492 --> 01:09:04,253
Speaker 2: he makes everyone pay tax, but income tax burden is

1404
01:09:04,452 --> 01:09:08,652
Speaker 2: heavily carried by the top earners. Yeah, and that's why

1405
01:09:08,692 --> 01:09:11,852
Speaker 2: it's a little, you know, like this whole push that

1406
01:09:12,253 --> 01:09:15,053
Speaker 2: the reason why you aren't doing well is because that

1407
01:09:16,412 --> 01:09:18,213
Speaker 2: the people are doing well in the top percent are

1408
01:09:18,253 --> 01:09:22,652
Speaker 2: greedy as a pretty hard cell. I know, it's sort

1409
01:09:22,652 --> 01:09:26,133
Speaker 2: of a divide and conquer us versus them kind of

1410
01:09:28,053 --> 01:09:32,372
Speaker 2: political politics of division, and you know, you blame these

1411
01:09:32,412 --> 01:09:35,812
Speaker 2: other people in society because for what's happening. But you've

1412
01:09:35,853 --> 01:09:38,412
Speaker 2: got to say, if the top ten percent are paying

1413
01:09:38,772 --> 01:09:43,013
Speaker 2: fifty percent of the tax, then they are already doing

1414
01:09:43,053 --> 01:09:46,732
Speaker 2: their part, and you are already taxing the absolute but

1415
01:09:46,853 --> 01:09:49,253
Speaker 2: Jesus out of them if you're already if you also

1416
01:09:49,333 --> 01:09:52,973
Speaker 2: include GSD in the situation, so you know.

1417
01:09:53,293 --> 01:09:56,492
Speaker 3: You're right. And if I'm trying to put my you know,

1418
01:09:56,612 --> 01:09:59,213
Speaker 3: feet in the in the shoes of people who say

1419
01:09:59,293 --> 01:10:01,733
Speaker 3: that billionaires are the problem and we need to redistribute

1420
01:10:01,732 --> 01:10:03,372
Speaker 3: the wealth, I think they feel that the deck is

1421
01:10:03,372 --> 01:10:04,173
Speaker 3: stacked against them.

1422
01:10:04,213 --> 01:10:04,333
Speaker 7: You know.

1423
01:10:04,492 --> 01:10:06,933
Speaker 3: Jacob mentioned that he couldn't get into a property. So

1424
01:10:07,053 --> 01:10:10,212
Speaker 3: there's a whole generation there that feel that the system

1425
01:10:10,572 --> 01:10:14,933
Speaker 3: is tilted towards those at the top, or older generations,

1426
01:10:14,973 --> 01:10:16,452
Speaker 3: and they feel like they're missing out.

1427
01:10:17,013 --> 01:10:17,973
Speaker 2: Whether I agree with.

1428
01:10:18,013 --> 01:10:20,772
Speaker 3: That, I don't know if I do. There's always a

1429
01:10:20,812 --> 01:10:22,852
Speaker 3: little bit of luck involved in life, and people who

1430
01:10:23,492 --> 01:10:25,173
Speaker 3: work hard and get to the top, and we talk

1431
01:10:25,213 --> 01:10:27,532
Speaker 3: about the billionaires who have been successful, but we always

1432
01:10:27,532 --> 01:10:30,253
Speaker 3: forget about the thousands and tens of thousands of people

1433
01:10:30,412 --> 01:10:32,972
Speaker 3: who could have been billionaires but for whatever reason saidly

1434
01:10:33,013 --> 01:10:33,892
Speaker 3: didn't get to that point.

1435
01:10:34,053 --> 01:10:36,892
Speaker 2: It's survival bias, isn't it. You go that this person's

1436
01:10:36,893 --> 01:10:40,213
Speaker 2: a billionaire because they got there and they always were.

1437
01:10:40,572 --> 01:10:43,372
Speaker 2: But for everyone that got lucky, there are so many

1438
01:10:43,452 --> 01:10:48,253
Speaker 2: that risked it all and ended up with absolutely nothing.

1439
01:10:49,093 --> 01:10:53,253
Speaker 2: So in any kind of economy do we need is

1440
01:10:53,452 --> 01:10:57,972
Speaker 2: the reward of the potential of being a billionaire? Such

1441
01:10:58,013 --> 01:11:01,093
Speaker 2: a big carrot that people are willing to do these

1442
01:11:01,133 --> 01:11:05,932
Speaker 2: big gambles and risk it all and potentially create incredible businesses.

1443
01:11:06,452 --> 01:11:09,133
Speaker 2: Do we need a massive carrot? And then when if

1444
01:11:09,173 --> 01:11:11,053
Speaker 2: you take that carroat away and say, well, there's a

1445
01:11:11,133 --> 01:11:13,492
Speaker 2: ceiling and I don't know who decides that ceiling of

1446
01:11:13,692 --> 01:11:15,772
Speaker 2: how rich you are? Yeah, you know, we decide that

1447
01:11:15,812 --> 01:11:17,572
Speaker 2: amount you're allowed to get to. If we say that,

1448
01:11:17,692 --> 01:11:21,293
Speaker 2: as then do are people going to take less crazy risks?

1449
01:11:21,492 --> 01:11:21,692
Speaker 6: Yeah?

1450
01:11:21,893 --> 01:11:24,173
Speaker 3: Yeah, that innovation and motivations.

1451
01:11:23,652 --> 01:11:26,692
Speaker 2: Because you need you need people taking risks for an

1452
01:11:26,692 --> 01:11:29,732
Speaker 2: economy to grow. Absolutely, don't you need the insane risk

1453
01:11:29,812 --> 01:11:34,092
Speaker 2: takers and probably one in a thousand of them become believable.

1454
01:11:34,213 --> 01:11:36,293
Speaker 3: Well, poet, it is ten to three back in a mow,

1455
01:11:36,492 --> 01:11:37,533
Speaker 3: one in a million.

1456
01:11:39,053 --> 01:11:41,412
Speaker 1: The issues that affect you, and a bit of fun

1457
01:11:41,492 --> 01:11:44,972
Speaker 1: along the way. Matt Heath and Tyler Adams Afternoons News

1458
01:11:45,093 --> 01:11:45,852
Speaker 1: Talks EDB.

1459
01:11:47,053 --> 01:11:51,133
Speaker 3: News Talks EDB. It is seven minutes to three a

1460
01:11:51,253 --> 01:11:53,892
Speaker 3: couple of weeks before we get to Brian, who owns

1461
01:11:53,973 --> 01:11:56,812
Speaker 3: his own business and now he's Seemi retired Afternoon Team.

1462
01:11:56,853 --> 01:11:59,372
Speaker 3: I have no issue with wealthy people, but I also

1463
01:11:59,572 --> 01:12:01,932
Speaker 3: have the view not all the so called top earners

1464
01:12:02,133 --> 01:12:04,612
Speaker 3: are living comfortably. People on a wage doing huge hours

1465
01:12:04,652 --> 01:12:07,412
Speaker 3: are among those top earners, but are nowhere close to

1466
01:12:07,492 --> 01:12:09,893
Speaker 3: being able to live with out paying closer attention to

1467
01:12:09,933 --> 01:12:12,093
Speaker 3: where their money is going to. The issue is more

1468
01:12:12,133 --> 01:12:14,053
Speaker 3: with those top five percent in the amount of texts

1469
01:12:14,093 --> 01:12:16,852
Speaker 3: they managed to avoid compared to the bulk wage earners.

1470
01:12:17,412 --> 01:12:19,772
Speaker 2: Thank you for that text. This text says, why do

1471
01:12:19,812 --> 01:12:22,053
Speaker 2: you keep talking about luck with reference to billionaires? I

1472
01:12:22,133 --> 01:12:24,612
Speaker 2: find the harder I work and plan, the lucky I

1473
01:12:24,732 --> 01:12:28,813
Speaker 2: am in your world, never mind the hard works, taking sacrifices,

1474
01:12:28,893 --> 01:12:31,293
Speaker 2: sleepless nights to get there. Yeah, but I mean there's

1475
01:12:31,692 --> 01:12:34,772
Speaker 2: also definitely luck because you can work really really hard

1476
01:12:34,853 --> 01:12:38,213
Speaker 2: and come up with a fantastic idea, but the exact

1477
01:12:38,333 --> 01:12:40,133
Speaker 2: right brand name doesn't come to you at the time,

1478
01:12:40,213 --> 01:12:42,093
Speaker 2: and some it does to someone else. Yep, you know,

1479
01:12:42,133 --> 01:12:45,013
Speaker 2: there's so many different situations. I mean a classic one,

1480
01:12:45,053 --> 01:12:48,972
Speaker 2: of course, is the you know, Beta platform as opposed

1481
01:12:48,973 --> 01:12:53,132
Speaker 2: to VHS. Right, Yeah, so VHS was an inferior platform

1482
01:12:53,372 --> 01:12:58,173
Speaker 2: to Beta, but VHS, you know, signed the right deals

1483
01:12:58,213 --> 01:13:03,173
Speaker 2: with the right companies and succeeded, you know, yep, so absolutely,

1484
01:13:03,692 --> 01:13:07,452
Speaker 2: you know success as the saying goes as we're luck

1485
01:13:07,492 --> 01:13:09,333
Speaker 2: and hard work collide.

1486
01:13:08,973 --> 01:13:11,133
Speaker 3: Right, Yeah, one hundred percent. Timing. You know, there's many

1487
01:13:11,133 --> 01:13:13,932
Speaker 3: people that a timing products. They just presented them at

1488
01:13:13,933 --> 01:13:15,612
Speaker 3: the wrong time. Maybe it was a little bit early

1489
01:13:15,732 --> 01:13:18,213
Speaker 3: outside of the ze guist of what where the will

1490
01:13:18,333 --> 01:13:20,173
Speaker 3: was at, So that timing is a mess a part

1491
01:13:20,213 --> 01:13:22,172
Speaker 3: of it. There'd be thousands there with a great product.

1492
01:13:22,452 --> 01:13:24,013
Speaker 2: But yeah, and there so there's lots of people that

1493
01:13:24,133 --> 01:13:28,133
Speaker 2: absolutely work their butt off and are very talented and

1494
01:13:28,532 --> 01:13:31,612
Speaker 2: for what there reason things happen, you know exactly.

1495
01:13:31,333 --> 01:13:31,492
Speaker 9: You know.

1496
01:13:31,612 --> 01:13:33,812
Speaker 2: So that's so you know there's there is luck involved.

1497
01:13:34,732 --> 01:13:36,253
Speaker 3: Brian good to chat with you.

1498
01:13:37,372 --> 01:13:41,812
Speaker 18: Yeay, guys, so very very quickly and forty two see

1499
01:13:41,893 --> 01:13:45,492
Speaker 18: me retired now start of my business fifteen years ago

1500
01:13:45,572 --> 01:13:48,412
Speaker 18: after a hard slugs in the corporate world, managed to

1501
01:13:48,853 --> 01:13:52,053
Speaker 18: buire house relatively debt free. Now, so I mean, we

1502
01:13:52,173 --> 01:13:55,893
Speaker 18: hear about this Welsh distribution, so they also want to

1503
01:13:55,933 --> 01:13:57,893
Speaker 18: distribute my debt because they can have all of it

1504
01:13:57,973 --> 01:14:03,173
Speaker 18: to play on. One and then the last point I

1505
01:14:03,253 --> 01:14:06,652
Speaker 18: hear is this tax avoidance. Tax avoidance is illegal. No

1506
01:14:06,732 --> 01:14:10,333
Speaker 18: one avoids tax. But if you're not smart enough to

1507
01:14:10,452 --> 01:14:13,893
Speaker 18: understand how our tax laws work, and find what deductions

1508
01:14:14,013 --> 01:14:18,013
Speaker 18: you can do that are legitimate. Then you need your

1509
01:14:18,093 --> 01:14:21,093
Speaker 18: head read. But if you want to look at my

1510
01:14:21,173 --> 01:14:25,133
Speaker 18: provisional tax, my provisional tax as around about twenty five

1511
01:14:25,173 --> 01:14:29,893
Speaker 18: to city thousand every every quarter. So you know I

1512
01:14:30,013 --> 01:14:32,133
Speaker 18: do pay a lot of tax. But that also means

1513
01:14:32,173 --> 01:14:35,532
Speaker 18: that I earn a lot. And so you know people

1514
01:14:35,572 --> 01:14:38,892
Speaker 18: who say, oh, you know, just agree, Well, okay, you're

1515
01:14:39,572 --> 01:14:44,412
Speaker 18: this jealousy. That's what it comes down to. I also

1516
01:14:45,293 --> 01:14:47,612
Speaker 18: being sent me retired, now give a lot to community

1517
01:14:47,652 --> 01:14:51,692
Speaker 18: trusts and volunteer at least twenty five hours a week

1518
01:14:51,732 --> 01:14:55,412
Speaker 18: to other community groups. Good because my business allows me

1519
01:14:55,492 --> 01:14:57,772
Speaker 18: to do that. Now listen, I'm seeing retired. I don't

1520
01:14:57,853 --> 01:15:00,213
Speaker 18: need to work as hard as I used to to

1521
01:15:00,333 --> 01:15:02,333
Speaker 18: do that. So what do I do with my time

1522
01:15:02,452 --> 01:15:03,572
Speaker 18: to apect to the community.

1523
01:15:04,253 --> 01:15:06,612
Speaker 2: Well good on you, Brian. And would would you say,

1524
01:15:06,973 --> 01:15:09,372
Speaker 2: just to take it back to billionaires, would you think

1525
01:15:09,532 --> 01:15:11,852
Speaker 2: that a billionaire, someone in a position with that kind

1526
01:15:11,893 --> 01:15:15,213
Speaker 2: of money should morally be giving stuff, giving back and

1527
01:15:16,053 --> 01:15:18,932
Speaker 2: you know, employing for philanthropy where they can.

1528
01:15:19,732 --> 01:15:22,173
Speaker 18: Do you think this is a moral Yeah, well most

1529
01:15:22,213 --> 01:15:24,293
Speaker 18: of them do, don't They? Like you got gold Gates

1530
01:15:24,372 --> 01:15:27,932
Speaker 18: and his foundation. Elon Musk has his just Beazls has

1531
01:15:28,013 --> 01:15:31,532
Speaker 18: this foundation. Certainly a billionaire that doesn't. They just kids

1532
01:15:31,572 --> 01:15:32,493
Speaker 18: it all for themselves.

1533
01:15:32,933 --> 01:15:35,412
Speaker 2: Well, thank you so much for you call, Brian, appreciate it.

1534
01:15:35,452 --> 01:15:38,652
Speaker 2: Sh We put the billionaires to bear. It's been two hours.

1535
01:15:38,812 --> 01:15:40,532
Speaker 3: It's been a full on chat, enjoyable.

1536
01:15:40,572 --> 01:15:42,293
Speaker 2: I've got billionaire chat fatigue. Let's move on.

1537
01:15:42,973 --> 01:15:45,933
Speaker 3: So yeah, let's talk about zoos and animals. That is

1538
01:15:46,013 --> 01:15:48,772
Speaker 3: coming up very shortly after News Sport and where they

1539
01:15:48,812 --> 01:15:51,772
Speaker 3: gets delivered by Ray Lean. That is coming up very shortly.

1540
01:15:51,893 --> 01:15:53,572
Speaker 3: You're listening to matt and Tylope. You have been a

1541
01:15:53,572 --> 01:15:55,732
Speaker 3: good afternoon. Stay right here, will be back shortly.

1542
01:15:59,933 --> 01:16:04,253
Speaker 1: You're new home for insightful and entertaining talk. It's Mattie

1543
01:16:04,492 --> 01:16:07,572
Speaker 1: and Taylor Adams afternoons on News Talk.

1544
01:16:07,692 --> 01:16:11,452
Speaker 3: Sibby, very good afternoon, you welcome back into the show.

1545
01:16:11,612 --> 01:16:13,732
Speaker 3: Seven past three. Really good to have you with us

1546
01:16:13,772 --> 01:16:16,333
Speaker 3: as always. So let's have a chat about this story.

1547
01:16:16,772 --> 01:16:19,452
Speaker 3: A zoo is for sale in New Zealand. This is

1548
01:16:19,692 --> 01:16:22,812
Speaker 3: Totong's oldest wildlife park. It is hit the market for

1549
01:16:22,973 --> 01:16:25,933
Speaker 3: sale for the first time in thirty five years. It

1550
01:16:26,173 --> 01:16:29,972
Speaker 3: was launched by Harold and Eileen Marshall all that time ago,

1551
01:16:30,053 --> 01:16:31,692
Speaker 3: and their son Terry is now the owner. So it's

1552
01:16:31,692 --> 01:16:35,892
Speaker 3: two hundred has two hundred and eighty animals. That includes pigs,

1553
01:16:36,053 --> 01:16:42,253
Speaker 3: guinea and the original variety carves, sheep, deer, giant African ostriches, longhorns,

1554
01:16:42,412 --> 01:16:46,173
Speaker 3: Clydesdale horses. The list goes on, but Terry says, they've

1555
01:16:46,253 --> 01:16:48,532
Speaker 3: done the dash and now's the time to pass on

1556
01:16:48,692 --> 01:16:51,412
Speaker 3: this beautiful zoo to some brave soul who wants to

1557
01:16:51,452 --> 01:16:51,893
Speaker 3: take that on.

1558
01:16:52,093 --> 01:16:53,692
Speaker 2: Say, hang on a minute, what have they got on? There?

1559
01:16:53,772 --> 01:16:54,532
Speaker 2: Can go again?

1560
01:16:54,933 --> 01:16:57,053
Speaker 3: So this is just a small sample. So they've got

1561
01:16:57,133 --> 01:17:00,492
Speaker 3: guinea pigs and regular pigs, Guinea pigs, yep, guinea pigs,

1562
01:17:00,652 --> 01:17:03,173
Speaker 3: and I imagine that Cooney Cooney. You can't go past

1563
01:17:03,213 --> 01:17:06,732
Speaker 3: to Cooney what with guinea pigs or the guinea pigs

1564
01:17:06,772 --> 01:17:11,972
Speaker 3: and then the regular role in red Yeah kept in cookie. Yeah,

1565
01:17:12,333 --> 01:17:17,172
Speaker 3: they're in the calves. So that's nice. Sheep, deer, giant

1566
01:17:17,213 --> 01:17:19,492
Speaker 3: African ostriches. Now that's a selling point, yep.

1567
01:17:19,652 --> 01:17:22,532
Speaker 2: Right, that's that's the first beast that I've become excited

1568
01:17:22,572 --> 01:17:23,612
Speaker 2: by out of their collection.

1569
01:17:23,812 --> 01:17:26,253
Speaker 3: Yeap, what keeps going on? Wait for this one takes

1570
01:17:26,333 --> 01:17:29,333
Speaker 3: us long horn. Yeah, yeah, pretty good.

1571
01:17:29,452 --> 01:17:30,372
Speaker 2: They're not a bad cow.

1572
01:17:30,652 --> 01:17:35,293
Speaker 3: Yeah, Clydesdale Horse, big fan.

1573
01:17:35,213 --> 01:17:38,213
Speaker 2: Of Clydesdale Horse, huge fan of them. And they're Harry Hofs.

1574
01:17:38,372 --> 01:17:41,932
Speaker 3: And that is where the listing said least. So, I mean,

1575
01:17:41,973 --> 01:17:45,852
Speaker 3: look zoo or is that a I.

1576
01:17:45,893 --> 01:17:49,532
Speaker 2: Guess it's a petting? Is it a collection of Yeah?

1577
01:17:49,692 --> 01:17:51,933
Speaker 2: I mean what what makes a zoo? I thought you

1578
01:17:51,973 --> 01:17:53,372
Speaker 2: had to have an elephant in there.

1579
01:17:53,853 --> 01:17:55,692
Speaker 3: You need a re alligator or something, something a little

1580
01:17:55,692 --> 01:17:57,333
Speaker 3: bit of Oh I've got a six year old rabbit

1581
01:17:57,372 --> 01:18:00,572
Speaker 3: as well. I just spotted bed right, So that again

1582
01:18:00,812 --> 01:18:03,012
Speaker 3: not not sold for you. You need something a little

1583
01:18:03,053 --> 01:18:06,852
Speaker 3: bit more feisty, a little bit more spicy. I can't

1584
01:18:06,893 --> 01:18:09,452
Speaker 3: help you there. I'm sorry. There's so there's nothing. There's

1585
01:18:09,492 --> 01:18:14,253
Speaker 3: nothing that spicy. No pinglings, no pengues, no what else

1586
01:18:14,372 --> 01:18:15,892
Speaker 3: we got here. Let's just see if I can find

1587
01:18:15,933 --> 01:18:19,492
Speaker 3: something that's that's gonna sell it to me. You got

1588
01:18:19,532 --> 01:18:22,612
Speaker 3: a giraffe in there? No drafts? No, Oh, there's a goat.

1589
01:18:23,612 --> 01:18:26,612
Speaker 3: There might be a few goats. Actually, still nothing for you.

1590
01:18:26,853 --> 01:18:29,293
Speaker 2: Well, like, I'm all for the seven, big fan of

1591
01:18:29,412 --> 01:18:31,772
Speaker 2: it and stuff, but I'm not going to travel a

1592
01:18:31,893 --> 01:18:34,412
Speaker 2: long way to see a goat, you know. Yeah, what

1593
01:18:34,532 --> 01:18:38,492
Speaker 2: about a Hyaenah? Yeah they got a hyaena.

1594
01:18:38,612 --> 01:18:40,532
Speaker 3: Sadly they don't, but that would be amazing if they

1595
01:18:40,572 --> 01:18:43,772
Speaker 3: did have a hyaena there were there was what you

1596
01:18:43,853 --> 01:18:45,612
Speaker 3: need if you're going to take on this pitting zoo,

1597
01:18:46,053 --> 01:18:47,293
Speaker 3: just get some hyaenas in there.

1598
01:18:47,372 --> 01:18:48,612
Speaker 2: I was got excited about the hyaena.

1599
01:18:48,732 --> 01:18:52,653
Speaker 3: Yeah, sadly no, they'ven gone there far, but the sounds.

1600
01:18:53,812 --> 01:18:57,053
Speaker 2: Less like a zoo and more like the farm I

1601
01:18:57,093 --> 01:19:01,012
Speaker 2: grew up on. Maybe maybe because I grew up around

1602
01:19:01,053 --> 01:19:03,772
Speaker 2: all a bunch of livestock, It's not as impressive to me,

1603
01:19:03,812 --> 01:19:07,213
Speaker 2: but absolutely kids would love it. Go out there, pats

1604
01:19:07,253 --> 01:19:10,532
Speaker 2: some bloody she you know, spend some time with a

1605
01:19:10,893 --> 01:19:12,372
Speaker 2: giant African emu?

1606
01:19:12,532 --> 01:19:14,572
Speaker 3: Was it Ostrich? Pretty close?

1607
01:19:14,812 --> 01:19:17,373
Speaker 2: I think the tomato emo is just Australian.

1608
01:19:17,893 --> 01:19:20,052
Speaker 3: Yeah, I think they are slightly smaller than the old Austria.

1609
01:19:20,093 --> 01:19:21,973
Speaker 2: Anyway, Sorry, i've bogged you down. You had you were

1610
01:19:21,973 --> 01:19:25,093
Speaker 2: going somewhere before I started running a Noah's Ark type

1611
01:19:25,213 --> 01:19:26,093
Speaker 2: investigation on you.

1612
01:19:26,253 --> 01:19:27,772
Speaker 3: Well, you've got me now, because now I want to

1613
01:19:27,772 --> 01:19:30,212
Speaker 3: find exactly I need an itinery of all the animals

1614
01:19:30,253 --> 01:19:32,333
Speaker 3: that I've got on this bidding zoo. But the question

1615
01:19:32,372 --> 01:19:33,732
Speaker 3: we want to put to you is, I mean, one

1616
01:19:33,812 --> 01:19:35,933
Speaker 3: who would be brave enough to take on something like that.

1617
01:19:36,013 --> 01:19:37,892
Speaker 3: That's huge, two hundred and eighty animals, But it might

1618
01:19:37,973 --> 01:19:41,052
Speaker 3: just be a farming operation. So if you're good with farming,

1619
01:19:41,133 --> 01:19:43,293
Speaker 3: maybe you know two hundred of those animals is just

1620
01:19:43,372 --> 01:19:46,253
Speaker 3: sheep and cattle. But have you ever taken on a

1621
01:19:46,333 --> 01:19:48,933
Speaker 3: bit of a crazy business similar to this, whether it

1622
01:19:49,093 --> 01:19:51,532
Speaker 3: was a cinema that you decided was a passion of

1623
01:19:51,572 --> 01:19:53,452
Speaker 3: yours to do up an old theme park? I mean

1624
01:19:53,492 --> 01:19:55,173
Speaker 3: there's a lot of stories out there on taking a

1625
01:19:55,213 --> 01:19:57,692
Speaker 3: bit of a punt on something that's a bit unusual.

1626
01:19:57,933 --> 01:20:01,492
Speaker 2: Yeah, an unusual company. And look, as I was saying before,

1627
01:20:01,532 --> 01:20:04,452
Speaker 2: there was a movie We Bought a Zoo starring Matt Damon.

1628
01:20:04,572 --> 01:20:05,253
Speaker 3: Yep, pretty good.

1629
01:20:05,333 --> 01:20:07,532
Speaker 2: Yeah, I haven't seen it. It's hard boy, yep. That's

1630
01:20:08,372 --> 01:20:10,852
Speaker 2: a few tragedies in it, but it's heartwarming and stuff.

1631
01:20:11,293 --> 01:20:14,813
Speaker 2: But there's lots of different theme parks and movie theaters.

1632
01:20:14,612 --> 01:20:16,132
Speaker 3: You mentioned, yep, old cinema.

1633
01:20:16,293 --> 01:20:20,253
Speaker 2: Yeah, that dream business and how did it go? Is

1634
01:20:20,732 --> 01:20:24,612
Speaker 2: there is there business in is there you know weird

1635
01:20:24,732 --> 01:20:26,532
Speaker 2: areas that there are businesses you can get into like

1636
01:20:26,572 --> 01:20:28,852
Speaker 2: a local little museum that people make. Is there people

1637
01:20:28,933 --> 01:20:31,532
Speaker 2: running museums in school team once and making making a

1638
01:20:31,612 --> 01:20:33,012
Speaker 2: decent living out of running a museum.

1639
01:20:33,093 --> 01:20:34,892
Speaker 3: That's a fantastic one O. Eight one hundred and eighty

1640
01:20:34,933 --> 01:20:36,852
Speaker 3: ten eighty is an umber to call nine two nine two?

1641
01:20:37,013 --> 01:20:39,372
Speaker 3: Would you put something like a campground in that category?

1642
01:20:39,612 --> 01:20:41,692
Speaker 3: Maybe there's a lot of people that take on a

1643
01:20:41,812 --> 01:20:44,692
Speaker 3: campground situation, which is that's a bit of a punt.

1644
01:20:44,772 --> 01:20:46,612
Speaker 3: It's an unusual thing to do to say, you know what,

1645
01:20:46,732 --> 01:20:48,412
Speaker 3: We're going to quit our corporate jobs and buy a

1646
01:20:48,452 --> 01:20:49,372
Speaker 3: campground and run that.

1647
01:20:50,612 --> 01:20:53,652
Speaker 2: And supplementary question I've got on the top of this

1648
01:20:54,053 --> 01:20:57,492
Speaker 2: eight one hundred and eighty ten eighty is how many animals?

1649
01:20:57,572 --> 01:21:00,973
Speaker 2: Is two animals in a domestic setting? So this is

1650
01:21:01,013 --> 01:21:03,372
Speaker 2: a zoo and I might be mixing up the issues here,

1651
01:21:03,412 --> 01:21:05,972
Speaker 2: but this is a zoo, right, But like, if you're

1652
01:21:06,053 --> 01:21:09,133
Speaker 2: just running a house, then how cats is too many?

1653
01:21:09,173 --> 01:21:11,652
Speaker 2: I'm going to say anything over three? So is there

1654
01:21:11,652 --> 01:21:14,692
Speaker 2: anyone out there that is running more than three cats

1655
01:21:14,732 --> 01:21:17,293
Speaker 2: and has a good, good argument for say five cats?

1656
01:21:17,372 --> 01:21:21,213
Speaker 3: Yep? And is anyone running six dogs that is crazy?

1657
01:21:21,372 --> 01:21:22,173
Speaker 2: Just for a laugh?

1658
01:21:22,293 --> 01:21:23,333
Speaker 3: Yeah, just for a laugh.

1659
01:21:24,013 --> 01:21:24,173
Speaker 12: Dog.

1660
01:21:24,372 --> 01:21:25,612
Speaker 3: Six dogs is a lot of m.

1661
01:21:26,133 --> 01:21:28,612
Speaker 2: Is there anyone that's running as zoo essentially at their

1662
01:21:28,692 --> 01:21:32,692
Speaker 2: house just for just for fun, you know, like some

1663
01:21:32,772 --> 01:21:34,772
Speaker 2: people just start collecting so many animals. If you if

1664
01:21:34,772 --> 01:21:37,133
Speaker 2: you went round to their house, you could you could

1665
01:21:37,213 --> 01:21:39,452
Speaker 2: charge entrance to get in because they've got so many

1666
01:21:39,452 --> 01:21:40,293
Speaker 2: different animals going on.

1667
01:21:40,412 --> 01:21:42,093
Speaker 3: Yeah, love to hear your thoughts. I e one hundred

1668
01:21:42,133 --> 01:21:45,253
Speaker 3: and eighty ten eighty so crazy businesses and also how

1669
01:21:45,333 --> 01:21:47,652
Speaker 3: many animals are you running in your house? Love to

1670
01:21:47,732 --> 01:21:50,692
Speaker 3: hear from you. It is twelve past three news talks.

1671
01:21:50,732 --> 01:21:53,412
Speaker 3: That'd be very good afternoon to you. It's quarter bas three.

1672
01:21:53,492 --> 01:21:56,452
Speaker 3: So we started off this conversation talking about Marshlands Animal

1673
01:21:56,532 --> 01:21:59,372
Speaker 3: Park and Torong up for sale twelve million bucks. If

1674
01:21:59,372 --> 01:22:02,532
Speaker 3: you want to be brave, twelve mil it is it's

1675
01:22:02,532 --> 01:22:05,892
Speaker 3: a lot of hic aces, lot of space. Yeah, sixty

1676
01:22:05,933 --> 01:22:07,933
Speaker 3: three hectares right, So it's no property that's not.

1677
01:22:07,933 --> 01:22:10,333
Speaker 2: The combined value of the goat and the guinea pigs. No,

1678
01:22:11,452 --> 01:22:14,452
Speaker 2: even a petting zoo is still a zoo, says this text.

1679
01:22:14,492 --> 01:22:16,572
Speaker 2: You're right, Actually that's I was looking for the word

1680
01:22:16,692 --> 01:22:18,972
Speaker 2: for a zoo with farm animals and is petting zoo,

1681
01:22:19,013 --> 01:22:19,612
Speaker 2: but it's still a zoo.

1682
01:22:19,732 --> 01:22:21,293
Speaker 3: Now, I've got a list for you on all of

1683
01:22:21,372 --> 01:22:22,852
Speaker 3: the animals they've got, so I'm not going to go

1684
01:22:22,893 --> 01:22:24,652
Speaker 3: through already the ones that you see. You went that

1685
01:22:24,812 --> 01:22:27,092
Speaker 3: keen on. Here's some new ones for your ol peckers.

1686
01:22:27,652 --> 01:22:28,412
Speaker 2: I love an ol packer.

1687
01:22:28,492 --> 01:22:29,692
Speaker 3: Yeah, turtles and goldfish.

1688
01:22:29,853 --> 01:22:32,173
Speaker 2: A lot of time for turtles goldfish take or leave?

1689
01:22:32,572 --> 01:22:34,452
Speaker 3: And I don't actually know what this is, but tea

1690
01:22:34,492 --> 01:22:36,013
Speaker 3: moor and miniature ponies.

1691
01:22:36,053 --> 01:22:38,812
Speaker 2: A team, A team, timu minisi pony.

1692
01:22:38,652 --> 01:22:39,972
Speaker 3: A team or miniature pony?

1693
01:22:39,973 --> 01:22:42,452
Speaker 2: Oh no, those are yeah from team or.

1694
01:22:42,893 --> 01:22:44,492
Speaker 3: Yep, miniature pony?

1695
01:22:44,532 --> 01:22:44,772
Speaker 9: You like?

1696
01:22:45,013 --> 01:22:46,253
Speaker 3: You like a small small horse?

1697
01:22:46,372 --> 01:22:47,652
Speaker 2: Love a Shetland pony? Yeah?

1698
01:22:47,692 --> 01:22:50,732
Speaker 3: That nice so beautiful coat on them? And eels can't

1699
01:22:50,772 --> 01:22:52,492
Speaker 3: go past eels? Who doesn't like it? I don't like

1700
01:22:52,532 --> 01:22:53,412
Speaker 3: any you don't like ils?

1701
01:22:53,652 --> 01:22:53,972
Speaker 9: Okay?

1702
01:22:54,732 --> 01:22:57,772
Speaker 2: This person has texted through nine two. We're running a

1703
01:22:57,812 --> 01:23:01,253
Speaker 2: zoo at our house. Three dogs, two cats, one dark,

1704
01:23:02,093 --> 01:23:05,173
Speaker 2: one turkey, seven chickens and a rooster.

1705
01:23:06,013 --> 01:23:08,092
Speaker 3: Yeah, that's a petting zoo right there, the turkey.

1706
01:23:08,412 --> 01:23:11,532
Speaker 2: How about this texture? Hi, guys, our house is eight dogs,

1707
01:23:12,013 --> 01:23:16,253
Speaker 2: two cats, five goats, a horse, and it's not a

1708
01:23:16,333 --> 01:23:17,093
Speaker 2: lifestyle blocks.

1709
01:23:17,133 --> 01:23:19,892
Speaker 3: It's a life seat to eight dogs. You're a brave person.

1710
01:23:20,053 --> 01:23:22,372
Speaker 2: Wow, I have a mini zoo. I have two highland

1711
01:23:22,452 --> 01:23:27,372
Speaker 2: pet cows, four pet sheep, two horses, two water dragons. Terrifying,

1712
01:23:28,093 --> 01:23:29,133
Speaker 2: and two blue tongues.

1713
01:23:29,412 --> 01:23:29,932
Speaker 3: What's a blue?

1714
01:23:30,053 --> 01:23:33,892
Speaker 2: Two cats? Is that this person running two blue tongues

1715
01:23:33,893 --> 01:23:35,612
Speaker 2: in their mouth? Or is that some kind of animal?

1716
01:23:36,732 --> 01:23:39,532
Speaker 3: Oh it's a lizard, a little gecko, blue tongue, g ecko.

1717
01:23:39,853 --> 01:23:44,852
Speaker 2: Wow. Nice Sarah, welcome to the show. Hello, you're running

1718
01:23:44,893 --> 01:23:45,532
Speaker 2: a few animals?

1719
01:23:46,612 --> 01:23:46,852
Speaker 1: Yes?

1720
01:23:47,412 --> 01:23:49,972
Speaker 20: Yeah, I just got in the can. Who's you guys talking?

1721
01:23:50,013 --> 01:23:52,452
Speaker 20: And I was like, we fall firmly in that category

1722
01:23:52,492 --> 01:23:58,412
Speaker 20: of So I'm a bitness and I bring home work.

1723
01:23:59,853 --> 01:24:04,372
Speaker 20: So we've got four cats, a dog, four chickens, two

1724
01:24:04,532 --> 01:24:09,013
Speaker 20: rats indoor and outdoor fish and missus duck who's a

1725
01:24:09,093 --> 01:24:12,532
Speaker 20: wild duck who's just brought ten babies home. So, and

1726
01:24:12,652 --> 01:24:16,333
Speaker 20: that's all on a very normal sized section.

1727
01:24:17,213 --> 01:24:19,612
Speaker 2: Okay, So can I just go back, just so, can

1728
01:24:19,652 --> 01:24:21,293
Speaker 2: I just do a bit of a roll corps on

1729
01:24:21,412 --> 01:24:22,372
Speaker 2: your Noah's Ark situation?

1730
01:24:22,452 --> 01:24:22,572
Speaker 14: There?

1731
01:24:22,572 --> 01:24:25,972
Speaker 2: You've got four cats, four cats, a dog and a dog.

1732
01:24:27,652 --> 01:24:31,173
Speaker 2: How many rats are these? Free range rats? They're just

1733
01:24:31,213 --> 01:24:32,772
Speaker 2: living in the attic or their pet rats.

1734
01:24:32,933 --> 01:24:36,612
Speaker 20: Yeah, no, they gorgeous little pet rats. So they're lovely,

1735
01:24:36,893 --> 01:24:40,612
Speaker 20: lovely little boys that are not the wild ones from outside.

1736
01:24:40,692 --> 01:24:44,692
Speaker 2: So, and you got missus Duck with ten duck lings. Yeah,

1737
01:24:45,173 --> 01:24:47,452
Speaker 2: and what am I missing there? I've mister, I've got

1738
01:24:47,452 --> 01:24:49,572
Speaker 2: I've got your cats, I've got your dog chickens.

1739
01:24:49,572 --> 01:24:50,173
Speaker 3: How many chickens?

1740
01:24:50,213 --> 01:24:50,732
Speaker 2: Four chickens?

1741
01:24:51,412 --> 01:24:52,012
Speaker 20: Four chickens.

1742
01:24:52,732 --> 01:24:54,372
Speaker 2: That's not a bad setup. I mean, how much of

1743
01:24:54,412 --> 01:24:56,092
Speaker 2: your day is spent feeding these animals.

1744
01:24:57,812 --> 01:24:59,412
Speaker 20: They are the first thing we do in the morning,

1745
01:25:01,093 --> 01:25:03,893
Speaker 20: the first thing I do when I get home. And

1746
01:25:04,013 --> 01:25:08,452
Speaker 20: then yeah, the weekends are admin for the animals in

1747
01:25:08,572 --> 01:25:10,612
Speaker 20: the tanks. Pages.

1748
01:25:10,893 --> 01:25:13,692
Speaker 2: And I've got a question for you, seriously, Missus Duck

1749
01:25:14,213 --> 01:25:16,372
Speaker 2: has gone off and come back with ten ducks. Were

1750
01:25:16,452 --> 01:25:18,612
Speaker 2: the eggs involved in the process or has she stolen

1751
01:25:18,692 --> 01:25:20,412
Speaker 2: these ducks off ducklings off another duck.

1752
01:25:20,732 --> 01:25:24,612
Speaker 20: Yeah, she's she's brought them home. She we've been feeding

1753
01:25:24,732 --> 01:25:27,532
Speaker 20: her west the neighbors, so that she goes between a

1754
01:25:27,572 --> 01:25:28,372
Speaker 20: couple of houses and.

1755
01:25:28,372 --> 01:25:33,372
Speaker 2: Now she's kidded up, kidnapped ten baby ducks from some

1756
01:25:33,492 --> 01:25:38,013
Speaker 2: other poor So there were there were eggs involved. She

1757
01:25:38,093 --> 01:25:38,652
Speaker 2: laid the eggs.

1758
01:25:38,853 --> 01:25:42,053
Speaker 20: Yes, I just don't know where there were I see.

1759
01:25:42,652 --> 01:25:47,053
Speaker 2: So this isn't a crime streets. Yeah, but so there's

1760
01:25:47,053 --> 01:25:49,692
Speaker 2: a there's a there's there's a mister duck around somewhere there.

1761
01:25:49,853 --> 01:25:52,532
Speaker 20: Drake it was, Yeah, but we haven't seen him for

1762
01:25:52,572 --> 01:25:52,852
Speaker 20: a while.

1763
01:25:52,893 --> 01:26:00,813
Speaker 2: I think he's typical, Yeah, typical as he's done them.

1764
01:26:00,853 --> 01:26:02,292
Speaker 3: It's just flying away scarpet.

1765
01:26:02,692 --> 01:26:07,852
Speaker 2: Yeah, responsibility. I thought ducks and drakes often appeared for

1766
01:26:08,853 --> 01:26:11,372
Speaker 2: on our phone. We had mister and Missus Dark also

1767
01:26:11,532 --> 01:26:12,333
Speaker 2: well named you.

1768
01:26:12,372 --> 01:26:16,372
Speaker 20: Guys, I google it, and apparently they don't.

1769
01:26:16,492 --> 01:26:20,093
Speaker 2: They don't know. I'll tell you what our Mister Dark

1770
01:26:20,213 --> 01:26:22,812
Speaker 2: was a terrible piece. He was always hassling their hens,

1771
01:26:23,372 --> 01:26:26,652
Speaker 2: was he? Yeah, it was getting up to some into

1772
01:26:26,853 --> 01:26:29,532
Speaker 2: species freakingness that I didn't approve of.

1773
01:26:29,612 --> 01:26:32,013
Speaker 3: Yeah, that's bad behavior. That is we want to see.

1774
01:26:32,173 --> 01:26:35,732
Speaker 2: Sarah. Are you getting a lot of these animals because

1775
01:26:35,772 --> 01:26:37,692
Speaker 2: you feel sorry for them when they come into the

1776
01:26:38,492 --> 01:26:40,253
Speaker 2: clinic because you're a viet nurse.

1777
01:26:41,053 --> 01:26:41,293
Speaker 12: Yeah.

1778
01:26:41,532 --> 01:26:45,412
Speaker 20: Yeah. So two of the cats are little where they

1779
01:26:45,452 --> 01:26:48,893
Speaker 20: were little strays that came in and that what we

1780
01:26:48,973 --> 01:26:51,932
Speaker 20: call foster fail. So they come home temporarily and never leave.

1781
01:26:53,933 --> 01:26:57,093
Speaker 20: One of the chickens was in somebody's backyard locally, and

1782
01:26:57,213 --> 01:26:59,013
Speaker 20: they didn't know where she came from. So we went

1783
01:26:59,093 --> 01:27:02,812
Speaker 20: and brought her home and she lives with like just

1784
01:27:02,893 --> 01:27:05,933
Speaker 20: we just added her to the flock. The dog we

1785
01:27:06,053 --> 01:27:09,732
Speaker 20: got deliberately, the rats we deliberately, but the others we

1786
01:27:09,853 --> 01:27:11,093
Speaker 20: just kind of collect along the way.

1787
01:27:11,253 --> 01:27:15,053
Speaker 3: So that's lovely. And missus ducks is she loud? And

1788
01:27:15,093 --> 01:27:16,972
Speaker 3: side probably know no longer now that she's.

1789
01:27:16,772 --> 01:27:20,293
Speaker 20: Got what if she could, but we don't let her.

1790
01:27:20,572 --> 01:27:21,452
Speaker 2: So what's going to happen?

1791
01:27:21,572 --> 01:27:23,013
Speaker 20: You're too far on the crazy.

1792
01:27:22,853 --> 01:27:27,253
Speaker 2: Train, Sarah, you're looking down the barrel of having eleven ducks.

1793
01:27:30,412 --> 01:27:33,213
Speaker 20: Yeah, well, though they'll fly away when they're ready. We've

1794
01:27:33,732 --> 01:27:36,852
Speaker 20: said neighborhood wild ducks before, and they don't stay. They

1795
01:27:37,492 --> 01:27:39,732
Speaker 20: once they get fully seither and big enough to look

1796
01:27:39,772 --> 01:27:42,532
Speaker 20: after themselves, they actually they go. I don't know where

1797
01:27:42,572 --> 01:27:43,173
Speaker 20: they go, but they go.

1798
01:27:43,612 --> 01:27:44,972
Speaker 3: Yeah.

1799
01:27:45,732 --> 01:27:48,173
Speaker 2: What's the collective noun for ducks? I guess it's just

1800
01:27:48,253 --> 01:27:49,772
Speaker 2: a is it a wardling?

1801
01:27:50,093 --> 01:27:50,652
Speaker 16: That's a flock?

1802
01:27:52,293 --> 01:27:54,692
Speaker 3: That makes sense? Sounds That was pretty good.

1803
01:27:54,612 --> 01:27:57,052
Speaker 2: Mate, That that makes that makes a lot more sense.

1804
01:27:57,572 --> 01:27:59,612
Speaker 3: Sarah, thank you very much. That's a heak of an operation,

1805
01:27:59,732 --> 01:28:02,413
Speaker 3: you guys, are running all the best out there, listening.

1806
01:28:02,213 --> 01:28:06,132
Speaker 20: To everyone with all of their versions? What about crazy?

1807
01:28:06,333 --> 01:28:06,772
Speaker 2: What about this?

1808
01:28:07,053 --> 01:28:07,333
Speaker 6: Sarah?

1809
01:28:07,372 --> 01:28:09,772
Speaker 2: You're like this text to come through. We have fifteen dogs,

1810
01:28:09,893 --> 01:28:13,972
Speaker 2: two cats, a cockertoo, big pud, too many goats, one horse,

1811
01:28:14,093 --> 01:28:17,372
Speaker 2: five chucks, two ducks plus three wild ducks. Wow, see

1812
01:28:17,412 --> 01:28:20,732
Speaker 2: it looks like ducks. You have one duck. Suddenly you've

1813
01:28:20,732 --> 01:28:21,492
Speaker 2: got eleven ducks.

1814
01:28:21,572 --> 01:28:24,333
Speaker 3: Yeah, ducks, they multiply very fast.

1815
01:28:25,213 --> 01:28:26,772
Speaker 2: Thank you so much for your call, Serah, good luck

1816
01:28:26,812 --> 01:28:29,932
Speaker 2: ant were cheers, Sarah, Oh, one hundred and eighty ten eighty.

1817
01:28:30,013 --> 01:28:31,692
Speaker 3: So can you hear from you? How many animals are

1818
01:28:31,692 --> 01:28:34,652
Speaker 3: you running in your household? Can you beat? Serah? I

1819
01:28:34,692 --> 01:28:36,093
Speaker 3: mean there's so many ticks coming through.

1820
01:28:36,732 --> 01:28:39,412
Speaker 2: Is that paradise ducks? The ones that mate for life? Yeah,

1821
01:28:39,492 --> 01:28:42,492
Speaker 2: maybe that's not right. Yeah, mister duck was a terrible pest.

1822
01:28:42,612 --> 01:28:44,692
Speaker 2: That sounds usually when missus Duck died.

1823
01:28:45,412 --> 01:28:46,652
Speaker 3: He was batman.

1824
01:28:47,173 --> 01:28:47,892
Speaker 2: He was a bad man.

1825
01:28:47,973 --> 01:28:48,133
Speaker 9: Yeah.

1826
01:28:48,213 --> 01:28:49,372
Speaker 3: Twenty two past three.

1827
01:28:53,333 --> 01:28:56,972
Speaker 1: Matd Heathen Tyler Adams afternoons call Oh eight hundred eighty

1828
01:28:57,253 --> 01:28:58,973
Speaker 1: eight on news talks, Eppy.

1829
01:28:59,253 --> 01:29:02,452
Speaker 3: There's twenty five bar three. So we were talking about

1830
01:29:02,492 --> 01:29:05,532
Speaker 3: this petting zoo up for sale. But it hairs gone

1831
01:29:05,572 --> 01:29:08,092
Speaker 3: into how many animals are you running at your particular household?

1832
01:29:08,093 --> 01:29:09,892
Speaker 3: It is great, we'll get some fantastic dicks.

1833
01:29:10,053 --> 01:29:12,372
Speaker 2: I find so much joy in just these lists that

1834
01:29:12,532 --> 01:29:15,013
Speaker 2: these lists of animals that people are running, keep them

1835
01:29:15,093 --> 01:29:18,173
Speaker 2: coming through. One hundred eighty ten eighty nine two. This

1836
01:29:18,333 --> 01:29:22,692
Speaker 2: Texas is twelve sheep, two horses, two dogs, six cats,

1837
01:29:23,492 --> 01:29:29,132
Speaker 2: fifteen chickens, five ducks, four geese, six turkeys, sex turkey,

1838
01:29:29,213 --> 01:29:34,333
Speaker 2: six turkeys, one rabbit, two cocker teals, one canary, one turtle,

1839
01:29:34,973 --> 01:29:39,372
Speaker 2: pond fish, and some pet cows all on our dairy farm.

1840
01:29:39,452 --> 01:29:40,692
Speaker 2: That sounded like a Christmas song.

1841
01:29:42,452 --> 01:29:45,372
Speaker 3: That is an old McDonald situation. That is fantastic bit.

1842
01:29:45,492 --> 01:29:49,412
Speaker 2: Yeah yeah wow. So I'm just looking at this here. Yeah,

1843
01:29:50,053 --> 01:29:53,812
Speaker 2: that's that's that's impressive. The amount of turkeys they're running.

1844
01:29:54,093 --> 01:29:56,293
Speaker 3: What do you do with it? Like genuine question? Why

1845
01:29:56,333 --> 01:29:57,412
Speaker 3: would you have six turkeys?

1846
01:29:57,612 --> 01:29:57,892
Speaker 6: Okay?

1847
01:29:57,893 --> 01:30:00,213
Speaker 3: I mean is that just save them up for Christmas time?

1848
01:30:00,372 --> 01:30:03,173
Speaker 3: Or are they just genuine pets? I mean they just

1849
01:30:03,213 --> 01:30:04,812
Speaker 3: sound like a pain in the ass turkeys.

1850
01:30:05,093 --> 01:30:07,053
Speaker 2: We ended up with the spit. We ended up with

1851
01:30:07,173 --> 01:30:10,852
Speaker 2: six cats on the I grew up in because I

1852
01:30:10,933 --> 01:30:13,092
Speaker 2: think they just sort of were in the general area,

1853
01:30:14,013 --> 01:30:15,652
Speaker 2: and then they just come past the house after a

1854
01:30:15,732 --> 01:30:18,053
Speaker 2: while and stay there. My dad had to build a

1855
01:30:18,173 --> 01:30:21,333
Speaker 2: cat hotel that was like six stories high, and then

1856
01:30:21,372 --> 01:30:23,892
Speaker 2: they turned the cats, turned the bottom story into an abattoir.

1857
01:30:24,093 --> 01:30:27,892
Speaker 2: They just bought dead rabbits back there on a farm.

1858
01:30:27,973 --> 01:30:30,652
Speaker 2: You can, you can, you can become a hub for cats.

1859
01:30:30,772 --> 01:30:32,333
Speaker 3: Yeah, you can't turn them away, can you?

1860
01:30:32,772 --> 01:30:32,852
Speaker 6: Oh?

1861
01:30:32,893 --> 01:30:35,532
Speaker 3: One hundred and eighty ten eighty is that number to call?

1862
01:30:35,612 --> 01:30:39,692
Speaker 3: How many animals are you operating in your particular household? Y'a, Linda?

1863
01:30:39,853 --> 01:30:41,572
Speaker 3: How are you good?

1864
01:30:41,652 --> 01:30:41,932
Speaker 15: Thanks?

1865
01:30:41,973 --> 01:30:44,253
Speaker 3: How are you very good? So you hear quite a

1866
01:30:44,253 --> 01:30:44,932
Speaker 3: few pets as.

1867
01:30:44,812 --> 01:30:47,852
Speaker 15: A kid, Yeah, when I was when I was younger,

1868
01:30:47,933 --> 01:30:53,372
Speaker 15: we my grandma lived with Mom and I. We had

1869
01:30:53,532 --> 01:30:58,772
Speaker 15: seven dogs, seven cats. We had a crimpy hinder. We

1870
01:30:58,933 --> 01:31:04,173
Speaker 15: also had take any pokes. My brother had twenty five pigeons.

1871
01:31:04,812 --> 01:31:08,173
Speaker 15: He sold them, but they flew back to our place

1872
01:31:08,612 --> 01:31:09,372
Speaker 15: homing pigeons.

1873
01:31:10,572 --> 01:31:13,652
Speaker 2: Sorry, so twenty five homing pigeons. That's a scam. You

1874
01:31:13,692 --> 01:31:14,572
Speaker 2: sell them and they come back.

1875
01:31:15,452 --> 01:31:16,013
Speaker 18: Yeah, I know.

1876
01:31:16,732 --> 01:31:20,973
Speaker 15: And then one of our cats, because we've got a

1877
01:31:21,053 --> 01:31:23,692
Speaker 15: creek behind us, fall in this mess of eel and

1878
01:31:23,853 --> 01:31:26,452
Speaker 15: donates it to my nena and lift it on your bids.

1879
01:31:26,532 --> 01:31:27,132
Speaker 2: Still alive.

1880
01:31:27,652 --> 01:31:32,412
Speaker 15: W I've got wonderful memories of having all these animals, you.

1881
01:31:32,452 --> 01:31:35,253
Speaker 1: Know, growing up, So that is lovely.

1882
01:31:35,692 --> 01:31:36,532
Speaker 3: Did you have a favorite?

1883
01:31:39,093 --> 01:31:41,412
Speaker 15: I liked all my animals. I loved all of them,

1884
01:31:41,572 --> 01:31:44,052
Speaker 15: so yeah, I can't really say I had a favorite.

1885
01:31:44,133 --> 01:31:46,572
Speaker 2: So how many animals are you running at the moment?

1886
01:31:46,612 --> 01:31:49,093
Speaker 2: You lenda, Oh, I'm down to one cat.

1887
01:31:49,173 --> 01:31:49,973
Speaker 15: That's enough for me.

1888
01:31:50,133 --> 01:31:50,812
Speaker 8: I'm on my own.

1889
01:31:51,532 --> 01:31:54,692
Speaker 2: That's manageable. One cat's definitely manage That's okay. Hi, Matt

1890
01:31:54,692 --> 01:31:57,532
Speaker 2: and Tyler. We have a life sentence block and running

1891
01:31:57,572 --> 01:32:00,652
Speaker 2: two cours five sheep which now have seven lambs, five

1892
01:32:00,772 --> 01:32:03,932
Speaker 2: guinea fowl, along with as many wild ducks that want

1893
01:32:04,013 --> 01:32:06,333
Speaker 2: to free feed, two rabbits and a doc.

1894
01:32:07,333 --> 01:32:08,932
Speaker 3: I love that dark of the problem.

1895
01:32:09,093 --> 01:32:12,652
Speaker 2: Yeah, they're mobile. How many ducks? Yeah, their wings give

1896
01:32:12,692 --> 01:32:17,452
Speaker 2: them the ability to just join whatever. We used to

1897
01:32:17,452 --> 01:32:21,333
Speaker 2: have got a problem with geese joining the sheep right

1898
01:32:21,492 --> 01:32:24,053
Speaker 2: because because geese can get confused and they just think

1899
01:32:24,053 --> 01:32:27,892
Speaker 2: they're a sheep. But because they're more agru than your

1900
01:32:27,933 --> 01:32:30,333
Speaker 2: average sheep, they end up ruling the sheep.

1901
01:32:31,772 --> 01:32:34,093
Speaker 3: It happens quite a lot geese just fly in and

1902
01:32:34,133 --> 01:32:35,333
Speaker 3: say I rule now.

1903
01:32:35,692 --> 01:32:38,852
Speaker 2: People will back me up that that geese gets into

1904
01:32:38,893 --> 01:32:40,772
Speaker 2: your sheep and then they start running the whole shop.

1905
01:32:40,973 --> 01:32:43,093
Speaker 3: Nine nine to two. If you face that and also

1906
01:32:43,213 --> 01:32:45,852
Speaker 3: love how many animals you're operating in your house. It

1907
01:32:46,013 --> 01:32:48,293
Speaker 3: is twenty eight past three. Headlines coming up.

1908
01:32:50,492 --> 01:32:54,213
Speaker 13: You talks at the headlines with blue bubble taxi. It's

1909
01:32:54,293 --> 01:32:57,652
Speaker 13: no trouble with the blue bubble. Restrictions on three D

1910
01:32:57,933 --> 01:33:01,053
Speaker 13: printed guns are included in a government rewrite of the

1911
01:33:01,293 --> 01:33:04,973
Speaker 13: Arms Act, unveiled today and heading to Select Committee. They

1912
01:33:05,013 --> 01:33:09,253
Speaker 13: include banning gang members getting gun licenses, a new offenses,

1913
01:33:09,412 --> 01:33:15,413
Speaker 13: and toughening penalties transporting ALTUROA is asking NZTA for assurance

1914
01:33:15,732 --> 01:33:19,692
Speaker 13: its addressing driver license fraud after four hundred and forty

1915
01:33:19,732 --> 01:33:23,492
Speaker 13: commercial truck licenses have been revoked for including false or

1916
01:33:23,612 --> 01:33:28,173
Speaker 13: altered documentation. Parliament will be debating a ban on greyhound

1917
01:33:28,293 --> 01:33:32,253
Speaker 13: racing this afternoon at the bill's first reading. A in

1918
01:33:32,372 --> 01:33:35,492
Speaker 13: z New Zealand's Boss is defending its record high two

1919
01:33:35,532 --> 01:33:38,692
Speaker 13: and a half billion dollar profit up twenty one percent,

1920
01:33:39,173 --> 01:33:43,133
Speaker 13: saying cuts are passed on to customers. The US Senate

1921
01:33:43,372 --> 01:33:46,173
Speaker 13: has approved the final version of a funding deal that

1922
01:33:46,293 --> 01:33:49,492
Speaker 13: could end the week's long government shut down. The bill

1923
01:33:49,572 --> 01:33:52,892
Speaker 13: now goes to the US House of Representatives and then

1924
01:33:52,933 --> 01:33:55,412
Speaker 13: to the White House for President Donald Trump to sign.

1925
01:33:56,412 --> 01:34:01,092
Speaker 13: From Pressure to power, how Stacy Jones Keiwi silenced their critics.

1926
01:34:01,412 --> 01:34:05,052
Speaker 13: You can read Michael Burgess's analysis at Enzed Herald Premium.

1927
01:34:05,452 --> 01:34:07,092
Speaker 13: Back to matt Ethan Tyler Adams.

1928
01:34:07,253 --> 01:34:09,173
Speaker 3: Thank you very much, Ray Lean. So we've been talking

1929
01:34:09,213 --> 01:34:12,572
Speaker 3: about Tyrang's oldest wildlife park, Marshall's Animal Park. It's up

1930
01:34:12,612 --> 01:34:14,492
Speaker 3: for sale for the first time since it was set

1931
01:34:14,532 --> 01:34:17,732
Speaker 3: up thirty five years ago, and along with the sixty

1932
01:34:17,812 --> 01:34:20,093
Speaker 3: five hectares of property you also get two hundred and

1933
01:34:20,173 --> 01:34:22,932
Speaker 3: eighty animals. So we've asked the question how many animals

1934
01:34:23,053 --> 01:34:24,532
Speaker 3: is too much? And how many you're operating?

1935
01:34:24,652 --> 01:34:25,933
Speaker 2: So this has sort of turned into a list of

1936
01:34:25,973 --> 01:34:27,133
Speaker 2: the amount of animals that people have.

1937
01:34:27,293 --> 01:34:29,173
Speaker 3: Yeah love types. Yeah, okays.

1938
01:34:29,173 --> 01:34:32,293
Speaker 2: Another one this is from Chris. Three dogs, two Border

1939
01:34:32,293 --> 01:34:35,693
Speaker 2: Collies and a Pomeranian. I see okay, right, So that's

1940
01:34:35,692 --> 01:34:39,173
Speaker 2: the domination of the three dogs. Yeah, five cats, lost

1941
01:34:39,213 --> 01:34:42,012
Speaker 2: count of the chucks, an African gray parrot, three cows,

1942
01:34:42,053 --> 01:34:46,932
Speaker 2: a horse to goose, two guinea fowl and the missus

1943
01:34:46,973 --> 01:34:49,413
Speaker 2: is trying to convince me to let her get more geese.

1944
01:34:49,173 --> 01:34:51,892
Speaker 3: And some lambs all on nine acres. Cheers love it, Chris.

1945
01:34:52,013 --> 01:34:54,213
Speaker 3: I actually think Chris is on the line there. So

1946
01:34:54,612 --> 01:34:57,612
Speaker 3: I got some questions. Get a Chris. Yeah here you

1947
01:34:57,692 --> 01:35:00,652
Speaker 3: got good mate. So how's the missus going with the

1948
01:35:01,253 --> 01:35:03,732
Speaker 3: convincing you to get those extra lemmys?

1949
01:35:04,612 --> 01:35:06,933
Speaker 5: Oh yeah, it's a bit of a struggle, isn't it.

1950
01:35:08,093 --> 01:35:10,933
Speaker 5: Lamb we had lambs last year but that went that

1951
01:35:11,053 --> 01:35:14,972
Speaker 5: went south real quick. I won't go into those details,

1952
01:35:15,053 --> 01:35:19,253
Speaker 5: but yeah, she wouldn't mind some more lambs for free

1953
01:35:19,372 --> 01:35:19,892
Speaker 5: the next year.

1954
01:35:19,973 --> 01:35:24,133
Speaker 3: But eating lambs, yeah, I can't go wrong with that.

1955
01:35:24,692 --> 01:35:26,052
Speaker 2: Are your African grade parrot?

1956
01:35:26,173 --> 01:35:26,452
Speaker 15: Is that?

1957
01:35:26,612 --> 01:35:29,772
Speaker 2: They're incredibly smart, aren't they? The other one says, yeah,

1958
01:35:30,532 --> 01:35:33,293
Speaker 2: you was not pretty clear, all right talking?

1959
01:35:34,492 --> 01:35:41,092
Speaker 5: Yeah, he's my partner's bird. But he imitates my voice

1960
01:35:41,133 --> 01:35:44,852
Speaker 5: and accent down to a tee And it's quite infuriating actually,

1961
01:35:45,812 --> 01:35:51,013
Speaker 5: considering he hates my guts something fierce. I go, I

1962
01:35:51,133 --> 01:35:52,692
Speaker 5: go to give him a scratch, and that he just

1963
01:35:52,732 --> 01:35:55,013
Speaker 5: tries to bite me and he's bitten me in a

1964
01:35:55,093 --> 01:35:56,013
Speaker 5: bloody hurts.

1965
01:35:57,372 --> 01:36:01,053
Speaker 3: And so what of the sevistapole goose whether he g

1966
01:36:01,133 --> 01:36:03,333
Speaker 3: is at uh so.

1967
01:36:04,013 --> 01:36:08,852
Speaker 5: I didn't know this until after it's got them. They're

1968
01:36:08,853 --> 01:36:16,892
Speaker 5: actually somewhat endangered geese, the Eastern European breed and quite fluffy,

1969
01:36:17,933 --> 01:36:22,092
Speaker 5: so if you look them up on Google, extremely fluffy

1970
01:36:22,133 --> 01:36:24,333
Speaker 5: looking geese, beautiful.

1971
01:36:24,412 --> 01:36:24,972
Speaker 9: We got them.

1972
01:36:25,412 --> 01:36:28,293
Speaker 5: We got them because we've got halts around the place

1973
01:36:28,412 --> 01:36:32,772
Speaker 5: and supposed to be good protectors and keeping the hawks away.

1974
01:36:33,812 --> 01:36:36,612
Speaker 2: Right. Hey, have you had any weird experiences with your

1975
01:36:36,612 --> 01:36:39,412
Speaker 2: African gray parrot? Because I had a friend who they

1976
01:36:39,492 --> 01:36:41,532
Speaker 2: had one on the farm and they went away and

1977
01:36:41,572 --> 01:36:44,933
Speaker 2: when they came back, the parrot had been impersonating the

1978
01:36:45,532 --> 01:36:49,133
Speaker 2: working dogs. So they came back and the dog had

1979
01:36:49,133 --> 01:36:52,333
Speaker 2: been the parrot had been whistling, and that just running

1980
01:36:52,772 --> 01:36:55,612
Speaker 2: the sheep ragged to the point where the sheep were

1981
01:36:55,612 --> 01:37:00,133
Speaker 2: basically falling down dead with sweat because African gray parrot

1982
01:37:00,173 --> 01:37:01,892
Speaker 2: had just been hurting them all day.

1983
01:37:03,013 --> 01:37:04,732
Speaker 12: I haven't had anything like that.

1984
01:37:04,973 --> 01:37:09,133
Speaker 5: No, but he does tell the dogs to get out, Yeah,

1985
01:37:09,492 --> 01:37:10,372
Speaker 5: shout up and all that.

1986
01:37:11,293 --> 01:37:13,892
Speaker 2: Yeah, love it listen of course, ye no, no, they

1987
01:37:13,933 --> 01:37:16,692
Speaker 2: don't listen anyone. Hey, thank you so much, good luck

1988
01:37:16,732 --> 01:37:17,053
Speaker 2: out there.

1989
01:37:17,652 --> 01:37:18,412
Speaker 3: You set up.

1990
01:37:20,013 --> 01:37:20,492
Speaker 9: Yeers God.

1991
01:37:20,572 --> 01:37:22,732
Speaker 3: All right, good luck mate, Thank you very much. Oh

1992
01:37:22,732 --> 01:37:25,013
Speaker 3: eight hundred eighty ten eighty is the number to call.

1993
01:37:25,053 --> 01:37:27,812
Speaker 3: How many animals you're operating in your place? Love to

1994
01:37:27,933 --> 01:37:28,412
Speaker 3: hear from you.

1995
01:37:29,412 --> 01:37:33,093
Speaker 2: We have a one times bearded dragon, four cats, one dog,

1996
01:37:33,173 --> 01:37:36,293
Speaker 2: eleven chickens, three pet lambs and three cows. This is

1997
01:37:36,293 --> 01:37:38,852
Speaker 2: a fabulous chet. We aren't so crazy after all.

1998
01:37:38,973 --> 01:37:41,932
Speaker 3: Yeah, exactly right. Love to hear your situation nine two

1999
01:37:42,053 --> 01:37:45,492
Speaker 3: nine two or oh eight hundred eighty ten eighty it

2000
01:37:45,652 --> 01:37:47,333
Speaker 3: is twenty four to four back in a month.

2001
01:37:47,933 --> 01:37:50,812
Speaker 1: It's a fresh take on took back. It's Matt Heath

2002
01:37:50,853 --> 01:37:54,412
Speaker 1: and Tyler Adams afternoons. Have your say on eight hundred

2003
01:37:54,532 --> 01:37:56,012
Speaker 1: eighty ten eighty youth talk.

2004
01:37:56,173 --> 01:37:59,013
Speaker 3: B afternoon to you and it's twenty one to form.

2005
01:37:59,093 --> 01:38:00,772
Speaker 3: We're talking about how many animals you operate in in

2006
01:38:00,853 --> 01:38:01,452
Speaker 3: your household.

2007
01:38:01,772 --> 01:38:04,492
Speaker 2: Yeah, so I was talking before about the phenomena of

2008
01:38:04,973 --> 01:38:07,652
Speaker 2: geese skinning confused and thinking they're sheep and moving in

2009
01:38:07,893 --> 01:38:10,012
Speaker 2: with the sheet on your farm. You looked at me, Tyler,

2010
01:38:10,093 --> 01:38:10,692
Speaker 2: like I was making it up.

2011
01:38:10,692 --> 01:38:12,333
Speaker 3: You don't beieve Yeah, I know, I did not believe

2012
01:38:12,372 --> 01:38:13,093
Speaker 3: it happened to.

2013
01:38:13,133 --> 01:38:15,013
Speaker 2: Us at our house. I can show the pictures I'm

2014
01:38:15,053 --> 01:38:18,133
Speaker 2: looking happened regularly. We must have been on the geese

2015
01:38:18,213 --> 01:38:21,412
Speaker 2: flight pant plan. So a goose is going somewhere see

2016
01:38:21,452 --> 01:38:24,572
Speaker 2: some sheep and goes, nah, I'm going to I'm going

2017
01:38:24,652 --> 01:38:27,093
Speaker 2: to join the flock and live as a sheep. The

2018
01:38:27,213 --> 01:38:29,812
Speaker 2: problem is that they get they get very bulshy, and

2019
01:38:29,893 --> 01:38:34,013
Speaker 2: they start being head cheap. But then you know, the

2020
01:38:34,093 --> 01:38:37,812
Speaker 2: sheep gets shorn and the goose doesn't recognize the sheep

2021
01:38:37,853 --> 01:38:41,053
Speaker 2: and loses it or against discompopulated and sometimes flies off

2022
01:38:41,053 --> 01:38:42,452
Speaker 2: because it goes, what are these beasts?

2023
01:38:43,053 --> 01:38:43,772
Speaker 3: These aren't my mates?

2024
01:38:44,013 --> 01:38:46,412
Speaker 2: But yeah, yeah, mate says the sex's a true story.

2025
01:38:46,412 --> 01:38:48,093
Speaker 2: I've seen it myself. A goose turned up at my

2026
01:38:48,213 --> 01:38:50,412
Speaker 2: uncle's farm, decided it was a sheep and spent a

2027
01:38:50,452 --> 01:38:54,012
Speaker 2: couple of years running with him. It would be border

2028
01:38:54,013 --> 01:38:55,973
Speaker 2: into the yards with all the sheep and even go

2029
01:38:56,093 --> 01:38:58,253
Speaker 2: through the dip. I think it got bored after a

2030
01:38:58,333 --> 01:39:00,812
Speaker 2: couple of years it flew off, probably because the ram

2031
01:39:00,933 --> 01:39:03,892
Speaker 2: wasn't giving it the loving he was giving the other girls.

2032
01:39:04,253 --> 01:39:05,133
Speaker 3: Yeah fair enough, so.

2033
01:39:06,812 --> 01:39:09,853
Speaker 2: You don't want that from a goose's perspective.

2034
01:39:09,933 --> 01:39:12,253
Speaker 3: Yeah, that's a tough situation for the ghost. But I'm sorry, mate,

2035
01:39:12,293 --> 01:39:14,293
Speaker 3: I didn't believe you, but clearly it is a thing.

2036
01:39:14,452 --> 01:39:14,692
Speaker 14: It is.

2037
01:39:14,893 --> 01:39:18,052
Speaker 2: It is a phenomena. Yeah, geese that think they're sheep

2038
01:39:18,213 --> 01:39:21,612
Speaker 2: love it. But you never see a sheep flying off

2039
01:39:21,692 --> 01:39:24,133
Speaker 2: and joining a flock of geese, Yes, never see it

2040
01:39:24,253 --> 01:39:25,293
Speaker 2: never goes back the other way.

2041
01:39:26,492 --> 01:39:27,492
Speaker 3: George, How are you mate?

2042
01:39:28,412 --> 01:39:29,692
Speaker 4: Only in its dreams?

2043
01:39:30,692 --> 01:39:31,452
Speaker 3: Yeah, that's right.

2044
01:39:32,652 --> 01:39:32,812
Speaker 13: Now.

2045
01:39:32,812 --> 01:39:36,053
Speaker 4: I've got a story that I think you and the

2046
01:39:36,173 --> 01:39:39,692
Speaker 4: older gentlemen of your listeners will have a chuckle. And

2047
01:39:39,812 --> 01:39:42,133
Speaker 4: when I get to and that was the end of it,

2048
01:39:43,572 --> 01:39:46,532
Speaker 4: that has been I'll finish. Okay, cut me off before that.

2049
01:39:46,973 --> 01:39:47,253
Speaker 6: Okay.

2050
01:39:48,093 --> 01:39:51,333
Speaker 4: I got a pet mouse and I was fifteen. Little

2051
01:39:51,372 --> 01:39:53,692
Speaker 4: white mouse did find kept in a little shoe box.

2052
01:39:54,213 --> 01:39:56,853
Speaker 4: Got took petty on it and made it a mousehouse,

2053
01:39:56,893 --> 01:40:00,532
Speaker 4: which is two story large, like two apple boxes on

2054
01:40:00,572 --> 01:40:03,213
Speaker 4: top of each other, lovely up and downs, up and downs,

2055
01:40:03,293 --> 01:40:06,132
Speaker 4: you know, forty kilog you know, forty pound apple boxes.

2056
01:40:06,133 --> 01:40:09,133
Speaker 4: Those wouldn't win, and on top of each other. And

2057
01:40:09,213 --> 01:40:12,093
Speaker 4: put a ladder up between the two stories, and made

2058
01:40:12,133 --> 01:40:14,452
Speaker 4: bedrooms down the story and upstairs. I made all the

2059
01:40:14,492 --> 01:40:16,852
Speaker 4: play area with round about things to run on and

2060
01:40:17,013 --> 01:40:19,452
Speaker 4: do this, that and the other. And it's sorredly enjoyed itself,

2061
01:40:19,492 --> 01:40:21,013
Speaker 4: and I'd take it out and i'd put it on

2062
01:40:21,133 --> 01:40:24,572
Speaker 4: my shoulder and I would go under my jersey when

2063
01:40:24,572 --> 01:40:26,372
Speaker 4: I went out, and i'd bike out with this mouse

2064
01:40:26,492 --> 01:40:29,213
Speaker 4: under my jersey on the shoulder. And when we went

2065
01:40:29,253 --> 01:40:32,013
Speaker 4: to buy tomatoes from a lady that poked its head out.

2066
01:40:32,053 --> 01:40:36,812
Speaker 4: That was quite interesting experience. So anyway, this I got,

2067
01:40:37,013 --> 01:40:39,133
Speaker 4: I took pity to this mouse, and I got another

2068
01:40:39,173 --> 01:40:41,333
Speaker 4: one to keep it company because I didn't know what

2069
01:40:41,452 --> 01:40:45,652
Speaker 4: gender it was, So anyway, yeah, that was good. They

2070
01:40:45,893 --> 01:40:47,572
Speaker 4: enjoyed itself and spent a lot of time in the

2071
01:40:47,692 --> 01:40:52,133
Speaker 4: cotton wall bedroom get out of sight. We ended up

2072
01:40:52,213 --> 01:40:56,532
Speaker 4: with about thirty after two generations. And my father was

2073
01:40:56,572 --> 01:40:58,893
Speaker 4: there one Sunday afternoon with the mouse box out of

2074
01:40:58,973 --> 01:41:03,772
Speaker 4: the shed, sitting on the ground with a shearing sheep

2075
01:41:03,853 --> 01:41:07,612
Speaker 4: shearing shears, and he's going to demolish them. No, no, no, no,

2076
01:41:07,692 --> 01:41:10,692
Speaker 4: I'll take them to school. So I picked the thing

2077
01:41:10,812 --> 01:41:12,213
Speaker 4: up on the next Monday and I put it on

2078
01:41:12,213 --> 01:41:13,932
Speaker 4: the back of my pushbike and I bought the school

2079
01:41:13,973 --> 01:41:16,452
Speaker 4: with this huge box and full of mice to school.

2080
01:41:16,452 --> 01:41:19,053
Speaker 4: When my biology teacher was rapped because he wanted to

2081
01:41:19,093 --> 01:41:22,572
Speaker 4: have something a class that was alive regarding animals, and

2082
01:41:22,652 --> 01:41:26,133
Speaker 4: that was fine, and we had a biology lesson at

2083
01:41:26,173 --> 01:41:31,333
Speaker 4: one point where he decided we could use these and

2084
01:41:31,452 --> 01:41:34,932
Speaker 4: every kid, every boy at Boys High Palmerston North at

2085
01:41:35,093 --> 01:41:38,732
Speaker 4: fifth form was allocated the mouse and there was a

2086
01:41:38,812 --> 01:41:43,133
Speaker 4: bell jar with chlorine in it thoroughform minute and everybody

2087
01:41:43,213 --> 01:41:46,412
Speaker 4: bopped them off and then we all dissected them. Okay

2088
01:41:47,013 --> 01:41:48,772
Speaker 4: and up to saying them that was the end of that.

2089
01:41:49,893 --> 01:41:51,973
Speaker 3: Yeah, wow, you put those mice to good use, I

2090
01:41:52,013 --> 01:41:52,892
Speaker 3: think in the end, George.

2091
01:41:52,973 --> 01:41:57,812
Speaker 4: But it was the most memorable biology class everybody could

2092
01:41:57,853 --> 01:41:59,213
Speaker 4: remember and talk about for years.

2093
01:41:59,293 --> 01:42:00,213
Speaker 3: Did the parents advice?

2094
01:42:01,093 --> 01:42:05,852
Speaker 4: The original of the parents knew and they all do

2095
01:42:06,013 --> 01:42:06,333
Speaker 4: it work.

2096
01:42:07,013 --> 01:42:10,093
Speaker 2: Don't tell them the parents, the parents of the kids,

2097
01:42:10,093 --> 01:42:11,532
Speaker 2: I thought you're talking about the parents of the mice,

2098
01:42:12,612 --> 01:42:13,892
Speaker 2: all the mice, all.

2099
01:42:13,772 --> 01:42:16,892
Speaker 4: The mice before Pess came.

2100
01:42:17,492 --> 01:42:21,612
Speaker 2: Absolutely the rip. George's thirty mice.

2101
01:42:24,053 --> 01:42:26,213
Speaker 3: Yen eighty is a number to call, Sharon. How are

2102
01:42:26,293 --> 01:42:27,652
Speaker 3: you good?

2103
01:42:27,732 --> 01:42:27,973
Speaker 15: Thank you?

2104
01:42:28,893 --> 01:42:30,213
Speaker 2: What animals are you running? Sharon?

2105
01:42:31,612 --> 01:42:35,253
Speaker 21: Well, at the moment we've only got four sheep, one

2106
01:42:35,412 --> 01:42:39,692
Speaker 21: cow and carp and two cats. But at one stage

2107
01:42:40,253 --> 01:42:44,652
Speaker 21: we've had, like they say, lifestyle blocks about lifestyle and

2108
01:42:44,772 --> 01:42:48,652
Speaker 21: more of a work life kind of balanced.

2109
01:42:49,013 --> 01:42:49,772
Speaker 9: I try to do that.

2110
01:42:50,253 --> 01:42:55,612
Speaker 21: But we've had a fellow deer, We've had pegs, We've

2111
01:42:55,652 --> 01:43:00,892
Speaker 21: had goats, We've had I had ninety nine chickens, which

2112
01:43:00,933 --> 01:43:07,492
Speaker 21: is because you were allowed more than one hundred chickens property. Yeah,

2113
01:43:07,532 --> 01:43:09,732
Speaker 21: I am shock. We back then you could sell the

2114
01:43:09,772 --> 01:43:11,732
Speaker 21: eggs to the shop without any of the dramas you

2115
01:43:11,812 --> 01:43:17,852
Speaker 21: have now. And we've had used to breathe given for

2116
01:43:18,013 --> 01:43:21,213
Speaker 21: the point of dogs, and we've had yeah, cats, Like

2117
01:43:21,293 --> 01:43:24,612
Speaker 21: I said, what else is be had or pigs? We

2118
01:43:24,772 --> 01:43:28,253
Speaker 21: had purgancy for now and he tried to spreading things

2119
01:43:28,253 --> 01:43:31,452
Speaker 21: except lamas and now packers. Really it's quite fun.

2120
01:43:31,732 --> 01:43:33,652
Speaker 2: Well, why no, Lama's new packers.

2121
01:43:37,412 --> 01:43:39,293
Speaker 21: We just didn't really bother with those.

2122
01:43:39,412 --> 01:43:40,852
Speaker 2: I mean you have to actively go and get them.

2123
01:43:40,893 --> 01:43:41,973
Speaker 2: They don't just appear.

2124
01:43:45,372 --> 01:43:47,253
Speaker 3: Had shown them as well. I take it you know

2125
01:43:47,333 --> 01:43:48,333
Speaker 3: they've got the long coats.

2126
01:43:49,532 --> 01:43:50,532
Speaker 15: Yeah, I guess so too.

2127
01:43:50,652 --> 01:43:52,412
Speaker 21: No, we just I don't know, we just never bothered.

2128
01:43:52,492 --> 01:43:54,093
Speaker 12: It's not we don't like them, it's just being never

2129
01:43:54,173 --> 01:43:55,132
Speaker 12: bothered with the nettle.

2130
01:43:55,213 --> 01:43:57,972
Speaker 21: But the deer were the best. They were absolutely beautiful,

2131
01:43:58,013 --> 01:44:00,093
Speaker 21: and the pant they were lovely, and they kept it

2132
01:44:00,213 --> 01:44:01,732
Speaker 21: nice and good looking.

2133
01:44:01,973 --> 01:44:03,253
Speaker 3: Yeah, good on you.

2134
01:44:03,452 --> 01:44:04,652
Speaker 2: You ever going to get up to those kind of

2135
01:44:04,692 --> 01:44:06,412
Speaker 2: numbers again this year? And you think you're going to

2136
01:44:06,412 --> 01:44:08,253
Speaker 2: be running in ninety nine chickens again in your life?

2137
01:44:09,133 --> 01:44:09,173
Speaker 15: No?

2138
01:44:09,372 --> 01:44:11,013
Speaker 21: No, Well, the problem was that we didn't have any

2139
01:44:11,053 --> 01:44:14,013
Speaker 21: get schools on our garage to meet when they kept

2140
01:44:14,053 --> 01:44:16,372
Speaker 21: coming and waking it up at two three in the morning.

2141
01:44:16,452 --> 01:44:18,933
Speaker 2: So off with ninety nine heads.

2142
01:44:20,452 --> 01:44:23,173
Speaker 3: They would have gone to a good stomach, I'm sure. Oh,

2143
01:44:23,253 --> 01:44:25,213
Speaker 3: one hundred and eighty ten eighty is the number to call.

2144
01:44:25,293 --> 01:44:28,333
Speaker 3: How many animals are you operating in your household? Love

2145
01:44:28,412 --> 01:44:31,213
Speaker 3: to hear from you in nine two nine two is

2146
01:44:31,372 --> 01:44:34,932
Speaker 3: the text number, Julie, how are you this afternoon?

2147
01:44:35,893 --> 01:44:36,253
Speaker 4: Good thing?

2148
01:44:36,372 --> 01:44:38,532
Speaker 17: Who? I haven't got them at the moment, But I

2149
01:44:38,652 --> 01:44:42,652
Speaker 17: had two black and white brother Ray, who I called

2150
01:44:42,772 --> 01:44:47,892
Speaker 17: Maka and Latte nice, and I had hate to stay

2151
01:44:47,933 --> 01:44:50,692
Speaker 17: at my brother's face for a while while while my

2152
01:44:50,812 --> 01:44:54,692
Speaker 17: house was getting fixed. And one day when I was here,

2153
01:44:54,732 --> 01:44:56,772
Speaker 17: I saw this little black flash out the corner of

2154
01:44:56,812 --> 01:44:59,732
Speaker 17: my eye, and they went for they had catch where

2155
01:44:59,812 --> 01:45:01,572
Speaker 17: he lived, where they answer they had catch with it

2156
01:45:01,652 --> 01:45:05,253
Speaker 17: as so I couldn't felt pretty for this POI little cat,

2157
01:45:05,532 --> 01:45:07,812
Speaker 17: so I hear it. And then I managed to get

2158
01:45:07,853 --> 01:45:10,772
Speaker 17: hold of a humine catching cat thing and caught it

2159
01:45:10,893 --> 01:45:13,852
Speaker 17: in the trap and brought it home to my place

2160
01:45:14,772 --> 01:45:18,133
Speaker 17: and I let it out in my lounge room, which

2161
01:45:18,213 --> 01:45:22,893
Speaker 17: was now the cat's room. And one day she was

2162
01:45:22,933 --> 01:45:26,612
Speaker 17: always always hide behind the door when I went into

2163
01:45:26,692 --> 01:45:28,612
Speaker 17: feed her and tried to day and make sure she

2164
01:45:28,732 --> 01:45:30,972
Speaker 17: had food, work and clean as a trades, et cetera,

2165
01:45:31,013 --> 01:45:34,333
Speaker 17: et cetera, And she hide behind the door. And when

2166
01:45:34,372 --> 01:45:36,253
Speaker 17: I opened the door, I saw that call out Holly,

2167
01:45:37,333 --> 01:45:42,492
Speaker 17: and she go at me. And then one day I

2168
01:45:42,652 --> 01:45:44,893
Speaker 17: was in my bedroom and I was coming through to

2169
01:45:44,933 --> 01:45:48,133
Speaker 17: the kitchen and I heard this little noise and I thought,

2170
01:45:48,532 --> 01:45:50,972
Speaker 17: you know what's fair? I thought, so it's this little bird.

2171
01:45:51,412 --> 01:45:52,532
Speaker 22: And I thought, no, it's not.

2172
01:45:52,652 --> 01:45:54,973
Speaker 17: It's kittens. Since she had three little kittens on me

2173
01:45:55,053 --> 01:45:57,293
Speaker 17: known to me, wow, And that was what that was,

2174
01:45:57,333 --> 01:46:00,133
Speaker 17: what all the spitting was about. And it took me

2175
01:46:00,812 --> 01:46:04,892
Speaker 17: exactly six months from the day quarter till the day

2176
01:46:04,973 --> 01:46:06,772
Speaker 17: I was actually able to touch her.

2177
01:46:07,173 --> 01:46:10,892
Speaker 3: She was just so wild, right, And so whatever happened

2178
01:46:10,933 --> 01:46:14,612
Speaker 3: to that particular cat, that particular.

2179
01:46:14,253 --> 01:46:17,612
Speaker 17: Cat is still here. Her three babies. We went to

2180
01:46:18,133 --> 01:46:20,133
Speaker 17: one week to two weeks sorr. We went to cat

2181
01:46:20,213 --> 01:46:23,532
Speaker 17: Rescoo and one went to a friend of mine's a

2182
01:46:23,612 --> 01:46:26,333
Speaker 17: friend of a friend of mine, and I still see

2183
01:46:26,372 --> 01:46:30,893
Speaker 17: pictures of that one. And I got Holly Spade. And

2184
01:46:31,013 --> 01:46:34,053
Speaker 17: then this little black, half grown skitty chitten tuned up

2185
01:46:34,093 --> 01:46:35,852
Speaker 17: and I got a trap and trapped her as well,

2186
01:46:36,893 --> 01:46:41,092
Speaker 17: and she's now in with Holly, and she's also Spade.

2187
01:46:42,452 --> 01:46:46,253
Speaker 17: And I've got one dog at the present time. And

2188
01:46:46,812 --> 01:46:47,732
Speaker 17: I think that's about it.

2189
01:46:48,253 --> 01:46:52,053
Speaker 3: Nice. That is plenty for anybody. Cheerly, thank you very much.

2190
01:46:52,093 --> 01:46:55,173
Speaker 3: The old wildcats A couple of teks here before to

2191
01:46:55,293 --> 01:47:00,253
Speaker 3: play some messages. Guys. I have some sheep called Sela, Teddy, Pip,

2192
01:47:00,412 --> 01:47:04,772
Speaker 3: Pop Monkey, Monty, Blackfoot, Million, Molly Buster, Ziggy Babs, and

2193
01:47:04,812 --> 01:47:07,532
Speaker 3: a ram called Elvis. I've got a pony also called Patch,

2194
01:47:07,572 --> 01:47:10,213
Speaker 3: who Elvis craw with, so they were best mates. And Luna,

2195
01:47:10,372 --> 01:47:13,932
Speaker 3: my dog. Six Paradise Ducks visit every year too. Peel

2196
01:47:14,173 --> 01:47:15,412
Speaker 3: but love it. That's from GeV.

2197
01:47:15,572 --> 01:47:18,133
Speaker 2: This is a wholesome story. When Top Gun two came out,

2198
01:47:18,293 --> 01:47:21,053
Speaker 2: our kids had a pet lamb named Maverick. Then a

2199
01:47:21,133 --> 01:47:24,173
Speaker 2: Canadian gosling ended up with the mob of you. So

2200
01:47:24,253 --> 01:47:26,293
Speaker 2: I caught it and put it in with Meverick. So

2201
01:47:26,372 --> 01:47:27,972
Speaker 2: it was Maverick goose reunion.

2202
01:47:29,053 --> 01:47:30,052
Speaker 3: Robby. That is nice.

2203
01:47:30,412 --> 01:47:31,253
Speaker 2: Cheers Robbie here.

2204
01:47:31,333 --> 01:47:33,052
Speaker 3: That is a beautiful story. Right. Oh, eight, one hundred

2205
01:47:33,093 --> 01:47:34,973
Speaker 3: and eighty ten eighty is that number to call? How

2206
01:47:35,013 --> 01:47:37,932
Speaker 3: many animals are you operating in your house? Bagtory? Shortly?

2207
01:47:37,973 --> 01:47:39,213
Speaker 3: It is twelve to four.

2208
01:47:40,133 --> 01:47:43,492
Speaker 1: The big stories, the big issues, the big trends and

2209
01:47:43,853 --> 01:47:47,852
Speaker 1: everything in between. Matt Heath and Tyler Adams afternoons used.

2210
01:47:47,692 --> 01:47:53,972
Speaker 3: DOORGSB newstorgs their b It is nine minutes to four. Taylor.

2211
01:47:54,293 --> 01:47:57,772
Speaker 3: You've had a fear workers sheep over your well animals

2212
01:47:57,812 --> 01:47:58,972
Speaker 3: all together over your lifetime.

2213
01:48:01,013 --> 01:48:03,612
Speaker 22: Yeah, guys, so in a past life, I guess you

2214
01:48:03,652 --> 01:48:07,572
Speaker 22: could say me. My ex partner and her mother in

2215
01:48:07,652 --> 01:48:11,452
Speaker 22: law lived. They last while blocked about twenty two acres

2216
01:48:11,532 --> 01:48:14,692
Speaker 22: or so, and there were well over one hundred and

2217
01:48:14,772 --> 01:48:17,253
Speaker 22: fifty sheep at one point.

2218
01:48:17,652 --> 01:48:20,452
Speaker 12: Too many six cows.

2219
01:48:21,812 --> 01:48:24,532
Speaker 22: We had two Kearney Kearney pigs and a New Zealand

2220
01:48:24,652 --> 01:48:28,892
Speaker 22: white and they were all breeding pigs. So at any

2221
01:48:28,933 --> 01:48:34,452
Speaker 22: stage there were probably twelve plus tuglet six dogs between

2222
01:48:34,692 --> 01:48:37,852
Speaker 22: the two houses. We had five cats up at our

2223
01:48:37,893 --> 01:48:45,532
Speaker 22: place because my partner was my partner was a cat rescuer,

2224
01:48:47,933 --> 01:48:51,572
Speaker 22: like she fostered cats, like while they were being put

2225
01:48:51,652 --> 01:48:54,612
Speaker 22: up for adoption for other houses. Yes, you know, people

2226
01:48:54,612 --> 01:48:57,093
Speaker 22: wanted to adopt kittens or cats and stuff. So she

2227
01:48:58,452 --> 01:49:01,293
Speaker 22: took that on for herself. And then on top of that,

2228
01:49:01,532 --> 01:49:06,892
Speaker 22: we had obviously I've got three kids, so three three

2229
01:49:06,973 --> 01:49:07,812
Speaker 22: range kids as well.

2230
01:49:08,572 --> 01:49:10,652
Speaker 2: That's a that's a lot of work for not much

2231
01:49:11,333 --> 01:49:14,173
Speaker 2: financial gain. What you're running there, isn't it that That's

2232
01:49:14,372 --> 01:49:16,173
Speaker 2: that's why that skit starts to get called a life

2233
01:49:16,253 --> 01:49:19,173
Speaker 2: sentence block over a lifestyle block. Tyler. Yeah, Taylor.

2234
01:49:20,492 --> 01:49:24,612
Speaker 22: Although although the plus side was or the home kill

2235
01:49:24,853 --> 01:49:28,692
Speaker 22: you know, we we we did, we did do home

2236
01:49:28,772 --> 01:49:32,492
Speaker 22: kill as well. So obviously throughout the year in different

2237
01:49:32,492 --> 01:49:35,612
Speaker 22: phases would have all that kind of different meat available

2238
01:49:35,692 --> 01:49:35,973
Speaker 22: for us.

2239
01:49:36,093 --> 01:49:38,452
Speaker 2: But were you eating, were you're eating the old packer?

2240
01:49:40,093 --> 01:49:40,133
Speaker 15: No?

2241
01:49:40,333 --> 01:49:43,852
Speaker 23: No, no, that was a that was a neighbors right

2242
01:49:44,053 --> 01:49:47,133
Speaker 23: right right, because because look with an interesting though, like

2243
01:49:47,333 --> 01:49:49,053
Speaker 23: you know, with the l packer with the long neck,

2244
01:49:49,772 --> 01:49:51,052
Speaker 23: that is there good eating?

2245
01:49:51,093 --> 01:49:52,652
Speaker 2: And then I mean you you probably I'm probably asking

2246
01:49:52,692 --> 01:49:55,173
Speaker 2: the one person because you have an eat one Taylor,

2247
01:49:55,213 --> 01:49:57,333
Speaker 2: But is a good eating in the el packer's neck.

2248
01:49:57,372 --> 01:50:02,133
Speaker 3: It's a good question, do you know, Taylor, No, I

2249
01:50:02,253 --> 01:50:09,013
Speaker 3: have Nick. Oh yeah, you can get l packer Nick rosettes.

2250
01:50:09,412 --> 01:50:11,612
Speaker 3: They cut from the neck with a central bone kept in.

2251
01:50:12,013 --> 01:50:14,652
Speaker 3: This cut is best suited to moist, low and slow

2252
01:50:14,692 --> 01:50:15,372
Speaker 3: cooking methods.

2253
01:50:15,772 --> 01:50:18,732
Speaker 2: So there you go, jelicious. You were about to say something, Taylor.

2254
01:50:20,293 --> 01:50:23,492
Speaker 22: Oh yeah, I was just about to say that. These days, however,

2255
01:50:23,732 --> 01:50:27,612
Speaker 22: I think far too far, too many animals as well.

2256
01:50:27,652 --> 01:50:30,412
Speaker 22: Behind me, I have one dog and I call it

2257
01:50:30,492 --> 01:50:31,492
Speaker 22: quits at that these days.

2258
01:50:31,732 --> 01:50:35,852
Speaker 3: Yeah. Nice, you've learned, you've learned. Yeah, yeah, very good. Right,

2259
01:50:35,973 --> 01:50:38,652
Speaker 3: just another couple of texts then we'll wrap this one up. Afternoon,

2260
01:50:38,732 --> 01:50:40,492
Speaker 3: Just listening to your program on the way home. We

2261
01:50:40,772 --> 01:50:43,812
Speaker 3: have a lifestyle block with which my husband works from

2262
01:50:43,973 --> 01:50:46,972
Speaker 3: as a master seddler. We have three horses, ten sheep,

2263
01:50:47,013 --> 01:50:50,253
Speaker 3: two cows, twelve hens, two cats and two dogs. Love

2264
01:50:50,293 --> 01:50:51,892
Speaker 3: your show on the way home. I live around top

2265
01:50:52,093 --> 01:50:53,572
Speaker 3: or Cheers from Chrissy.

2266
01:50:53,812 --> 01:50:53,892
Speaker 9: Hi.

2267
01:50:54,013 --> 01:50:59,852
Speaker 2: Guys have a ship called Sola, Teddy Pit, Pop Monkey, Monty, Blackfoot, Millie,

2268
01:50:59,893 --> 01:51:03,372
Speaker 2: Molly Buster, Ziggy Babs, and a ram called Elvis.

2269
01:51:03,572 --> 01:51:03,812
Speaker 3: Nice.

2270
01:51:04,133 --> 01:51:06,732
Speaker 2: I have a pony called Patch, who Elvis grew up with,

2271
01:51:06,933 --> 01:51:09,612
Speaker 2: so they are best mates. And my dog six Paradise

2272
01:51:09,692 --> 01:51:13,213
Speaker 2: Ducks visit every year too, you go, gav Yeah, living

2273
01:51:13,213 --> 01:51:16,932
Speaker 2: in the dream fantastic A right, I think that's where

2274
01:51:16,933 --> 01:51:19,133
Speaker 2: we'll leave it. Yeah, all right. That brings us to

2275
01:51:19,173 --> 01:51:22,573
Speaker 2: the end of another edition of Matt and Tyler Afternoons

2276
01:51:22,732 --> 01:51:25,692
Speaker 2: on a news talk as z B. Thank you so

2277
01:51:25,812 --> 01:51:29,452
Speaker 2: much for all your calls and texts. It's been a

2278
01:51:29,692 --> 01:51:34,333
Speaker 2: fantastic time. The Sir Paul Holmes Broadcast of the Year.

2279
01:51:34,333 --> 01:51:38,972
Speaker 2: Heather Duplessy Allen is up next on the show. But Tyler,

2280
01:51:40,093 --> 01:51:42,612
Speaker 2: I wanted to play you this. Look, I haven't managed

2281
01:51:42,612 --> 01:51:44,053
Speaker 2: to organize the song I wanted to play, So we're

2282
01:51:44,053 --> 01:51:45,492
Speaker 2: just gonna have to We're just gonna have to let.

2283
01:51:45,412 --> 01:51:47,492
Speaker 3: It go where we just see. I mean, we've got

2284
01:51:47,572 --> 01:51:51,333
Speaker 3: that is that coming through? Here we go. We'll look

2285
01:51:51,333 --> 01:51:53,812
Speaker 3: forward to this, will it be? I mean we've had

2286
01:51:53,893 --> 01:51:56,652
Speaker 3: so many various conversations that it could be anything.

2287
01:51:56,853 --> 01:51:59,293
Speaker 2: Okay, So I'm gonna give you five seconds to name

2288
01:51:59,412 --> 01:52:01,692
Speaker 2: why I'm playing the song when I'm finally playing.

2289
01:52:01,492 --> 01:52:04,253
Speaker 3: It, Okay, Right, I'm looking forward to this. The anticipation

2290
01:52:04,452 --> 01:52:07,133
Speaker 3: is high. We're just waiting for that to come through,

2291
01:52:07,253 --> 01:52:09,572
Speaker 3: Andrew anytime. Now we've only got we've only got about

2292
01:52:09,612 --> 01:52:11,532
Speaker 3: forty seconds left of the show mates. We've had a hurry.

2293
01:52:11,772 --> 01:52:12,812
Speaker 2: What could it possibly?

2294
01:52:13,253 --> 01:52:16,412
Speaker 3: What you have to sing it? Andrew? I think, all right, you,

2295
01:52:19,933 --> 01:52:23,692
Speaker 3: oh mate? Well worth the way. It's pure imagination from

2296
01:52:24,333 --> 01:52:27,772
Speaker 3: the original Willy Wonka movie. Because we had Debra who

2297
01:52:27,853 --> 01:52:30,412
Speaker 3: called in about some sort of chocolatier who became a

2298
01:52:30,492 --> 01:52:34,612
Speaker 3: billionaire by employing some small people in some far flung country,

2299
01:52:34,772 --> 01:52:36,933
Speaker 3: and we all assume it was probably Willy Wonka she.

2300
01:52:37,053 --> 01:52:40,612
Speaker 2: Was talking about. I'm concerned that Deborah watched the Willy

2301
01:52:40,652 --> 01:52:45,172
Speaker 2: Wonka movie, the original Gene Wilder movie. Out got confused.

2302
01:52:45,213 --> 01:52:47,333
Speaker 2: I thought it was documentary and rang in us to

2303
01:52:47,372 --> 01:52:49,892
Speaker 2: tell us the story, the success story of your young

2304
01:52:49,973 --> 01:52:50,532
Speaker 2: chocolate tear.

2305
01:52:51,213 --> 01:52:52,492
Speaker 3: All right, we got there.

2306
01:52:53,133 --> 01:52:55,813
Speaker 2: It brings us in the show. See you tomorrow afternoon.

2307
01:52:56,053 --> 01:52:58,333
Speaker 2: Until then, give him a taste of key where you

2308
01:52:58,412 --> 01:52:58,892
Speaker 2: seem busy?

2309
01:52:58,893 --> 01:52:59,293
Speaker 6: Will you go?

2310
01:52:59,412 --> 01:52:59,732
Speaker 5: All right?

2311
01:52:59,812 --> 01:52:59,972
Speaker 9: Then?

2312
01:53:00,053 --> 01:53:00,333
Speaker 6: Okay?

2313
01:53:00,612 --> 01:53:00,973
Speaker 3: Love you.

2314
01:53:11,572 --> 01:53:14,452
Speaker 1: For more from News talkst B. Listen live on air

2315
01:53:14,692 --> 01:53:17,333
Speaker 1: or online, and keep our shows with you wherever you

2316
01:53:17,452 --> 01:53:19,853
Speaker 1: go with our podcasts on iHeartRadio