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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 Ranger podcasts now on iHeartRadio.

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Speaker 2: Hello you, Great New Zealands, and welcome to mattin Tyler

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Speaker 2: Full Show podcast number two one eight for the ninth

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Speaker 2: of October. It's Thursday and another fantastic radio show.

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Speaker 3: I thought, great calls, great chat head it all covered

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Speaker 3: a lot we did.

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Speaker 2: Actually we were like drugs, shares and last words head

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Speaker 2: at all was a yeah. It was the full spectrum

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Speaker 2: of emotions today.

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Speaker 3: Yeah, I certainly was. Get the tissues ready for that

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Speaker 3: last hour. Yeah, very powerful. But download, subscribe and give

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Speaker 3: us a review and give me a taste.

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Speaker 2: Key, you seem busierly you listen to the pod all

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Speaker 2: right then?

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Speaker 3: Love you the big.

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Speaker 1: Stories, the big issues, the big trends and everything in between.

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Speaker 1: Matt Heath and Tyler Adams afternoons News Talk said B.

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Speaker 3: Hello to you. How you doing. I hope you're having

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Speaker 3: a great Thursday afternoon. Really great to have you with us.

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Speaker 3: As always, gid A, Matt good A, Tyler, I get

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Speaker 3: a great New Zealand. Where you're listening.

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Speaker 2: We joined the talkback show part of our show today

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Speaker 2: and we've got some amazing topics.

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Speaker 3: Hey, just bere we get to those.

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Speaker 2: I just thought i'd share that I'm gonna be in

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Speaker 2: hawks Bay this weekend. Nice on Sunday at the hawks

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Speaker 2: Bay Readers and Writers Festival. On Sunday afternoon at midday.

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Speaker 2: I'm doing a bit of an appearance, a bit of

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Speaker 2: a bit of a talking appearance with a couple of

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Speaker 2: great New Zealanders, Sam Gibson, Sam the trap Man, and

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Speaker 2: also a great young man called Harry Averill who wrote

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Speaker 2: the book Hungary to Be Happy. It's called Healing and

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Speaker 2: Recovery and as just talking about being men in twenty

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Speaker 2: twenty five.

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Speaker 3: That'll be a great chat.

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Speaker 2: And I've got to say this book here one of

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Speaker 2: the I was talking yesterday about the Sam Gibson's book,

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Speaker 2: Sam the trap Man's written a fantastic book. But also

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Speaker 2: this guy, Harry Averill's written this credit book called Hungary

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Speaker 2: to Be Happy, which is a totally harrowing tale of

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Speaker 2: how he suffered from anorexia when he was thirteen and

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Speaker 2: fourteen and very nearly died far out And until I

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Speaker 2: read his book, I never really understood what anorexia was.

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Speaker 2: I was in the Have a Sandwich camp you know, yeah, yeah,

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Speaker 2: but when you actually read this guy's book, and it's

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Speaker 2: really well written. He's only twenty two now, but when

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Speaker 2: you read this book, it's, oh my god, what a

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Speaker 2: demon that is that gets into your brain anorexia.

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Speaker 3: So what a courageous guy to write a book about

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Speaker 3: it at that young age as well.

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Speaker 2: Yeah, So if you want to want to come along

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Speaker 2: and listen to a chat with these two great New Zealanders,

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Speaker 2: Sam Gibson and Harry Evil Averall, then come along Hawk's Bay.

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Speaker 2: There's still some tickets a bail oor. They're just fifteen dollars.

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Speaker 3: Nice. That'll be a great event. If you want to

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Speaker 3: get your tickets, just head too Hawks Bay Readers and

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Speaker 3: Writers Festival dot co dot ended to pick those up.

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Speaker 3: But that'll be a great chat. Right on to today's

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Speaker 3: show after three o'clock. Last words. So, in her final

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Speaker 3: recorded interview, the legendary chimp lover Jane Goodall didn't mince

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Speaker 3: her words when she said she wished she could seen

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Speaker 3: Donald Trump elon Mask, Vladimir Putin's j Jingpang and Benjamin

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Speaker 3: nettin Yahoo on a one way space trip and never

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Speaker 3: come back. It was quite a provocative statement. In her

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Speaker 3: final interview. Yeah, that's right.

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Speaker 2: So her final public words were wanting sort of wishing

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Speaker 2: death on a bunch of people.

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Speaker 3: Yeah, many world leaders. And look, we all know that

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Speaker 3: she preferred apes to humans.

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Speaker 1: Yep.

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Speaker 2: But you know you've got to be careful with your

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Speaker 2: last words because that that will always be forever her

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Speaker 2: last public interview.

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Speaker 3: Yeah, yeah, because she's got an incredible legacy throughout our

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Speaker 3: life with what she's done with chimpanzees and primates in general.

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Speaker 2: But then to that in the final interview, yes, so

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Speaker 2: we want to talk about last words, how important they

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Speaker 2: are and as are they really a thing? Are they

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Speaker 2: really a thing? Have you you know this is different.

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Speaker 2: There's last public words, but most people's last words we

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Speaker 2: would consider to be you know, deathbed confessions, that kind

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Speaker 2: of thing. If you have experienced last words, have you

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Speaker 2: ever thought about the last words you might want to deliver,

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Speaker 2: if you've thought about the message of hope you might

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Speaker 2: want to share with your family, We want to talk.

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Speaker 3: About last words. Looking forward to that. That is after

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Speaker 3: three o'clock. After two o'clock, Chasy's has just launched a

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Speaker 3: new debit card with master Card that gives one percent

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Speaker 3: of your spending back, but instead of going into your wallet,

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Speaker 3: it's invested into your Chasy's portfolio. It's the first of

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Speaker 3: it's kind in New Zealand. If you haven't heard of Chaarsy's,

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Speaker 3: it's been around the block for about ten years now.

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Speaker 3: But effectively, it's an online app that gives you easy

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Speaker 3: access to New Zealand and international shares. It tries to

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Speaker 3: break down those barriers to let you get into the

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Speaker 3: shar market and as easy way as possible, and it's

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Speaker 3: hugely popular.

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Speaker 2: Very very easy, and strangely, you can invest in whatever

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Speaker 2: increment you want by sixteen nine cents worth of shares

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Speaker 2: if you want, and it'll get you a tiny sliver

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Speaker 2: of an Apple share or some But yeah, we're just

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Speaker 2: going to talk about that investing and you know what

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Speaker 2: you think about this card and what do you think

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Speaker 2: about putting a certain amount of money onto the stock

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Speaker 2: market as opposed to into other investments.

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Speaker 3: Yep, that's going to be interesting. That is after two o'clock.

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Speaker 3: But right now, let's have a chat about drug policy

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Speaker 3: in New Zealand. So a major new report from the

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Speaker 3: Drug Foundation says that our laws have been a colossal failure.

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Speaker 3: It fuels they say O overdose deaths and punishes users

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Speaker 3: instead of helping them. They want all drug use decriminalized

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Speaker 3: and a full shift to a health based approach. It

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Speaker 3: is a very bold statement and a bold way to

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Speaker 3: deal with how we treat drugs in New Zealand. But

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Speaker 3: this is going to be an interesting chat. Oh one

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Speaker 3: hundred and eighty teen ages number to call.

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Speaker 2: Yeah, I mean it's a very good point from Murray.

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Speaker 2: Last time I checked, we were primates. Yeah, that is

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Speaker 2: very true.

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Speaker 3: But we don't.

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Speaker 2: Really go around calling each other primates, you know. I mean, Murray,

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Speaker 2: I'm not going to call you an ape, you know,

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Speaker 2: but I think you know what we're talking about, Murray. Yes,

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Speaker 2: when we say that, Jane Goodwill spent a lot of

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Speaker 2: time with primates.

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Speaker 3: Technically correct, but yeah, you're technically technically correct.

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Speaker 2: Yeah, yeah, Look, the decriminalization thing, it's a very very

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Speaker 2: complex issue and I'm sure it will heat up on

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Speaker 2: eight hundred and eighty ten eighty. But meth use has

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Speaker 2: doubled over the last eighteen months, and I don't think

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Speaker 2: many people think that's a good thing. So apart from

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Speaker 2: potentially the gangs that are making.

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Speaker 3: A lot of money out of it, very true.

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Speaker 2: Yeah, so whatever we are doing at the moment doesn't

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Speaker 2: seem to be working, but yeah, it's definitely worth discussing

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Speaker 2: everything on the table, you know. And there's a lot

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Speaker 2: of passionate responses coming through already.

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Speaker 4: Yep.

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Speaker 3: The phones have let up already and the text machine

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Speaker 3: is going crazy. But we do need a solution to

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Speaker 3: the problem. Yeah, and sometimes bold solutions can be the

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Speaker 3: way forward. So what do you say, Oh, eight hundred

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Speaker 3: and eighty ten eighty is the number to call. Coming

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Speaker 3: up next, we are going to speak to the executive

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Speaker 3: director of the New Zealand Drug Foundation, Sarah Helm to

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Speaker 3: break down their analysis and we've got plenty of questions

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Speaker 3: for her, so that is coming up next. But taking

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Speaker 3: your views on this, it is thirteen past one.

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

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

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Speaker 3: That'd be very good afternoon to you. It's a quarter

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Speaker 3: past one. So a landmark report from the New Zealand

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Speaker 3: Drug Foundation delivers a stark verdict New Zealand's current drug

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Speaker 3: lords our laws rather are driving a surge and overdose

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Speaker 3: debts and continue to penalize users rather than offer support.

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Speaker 3: The Foundation is calling for a complete overhaul, urging the

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Speaker 3: decriminalization of all drug use and shift the focus to

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Speaker 3: health and recovery. Joining us on the line now is

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Speaker 3: the executive director of the New Zealand Drug Foundation, Sarah Helm. Sarah,

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Speaker 3: very good afternoon to you, Thank you very much for

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Speaker 3: your time.

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Speaker 5: Gooday, good ay.

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Speaker 2: What does decriminalization mean and how would it work if

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Speaker 2: it ever happened in New Zealand? Can you describe how

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Speaker 2: it actually fund works.

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Speaker 6: Yeah, Look, decriminalizations just removing the penalties for drug use

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Speaker 6: or possession essentially, So it doesn't mean you're legalizing and

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Speaker 6: making drugs available, but it removes those penalties for use.

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Speaker 6: And at the moment, we know that that's getting in

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Speaker 6: the way of people seeking help and one of the

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Speaker 6: things that's contributing to our very rapidly growing drug issues.

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Speaker 6: And there's been heaps of evidence. So we've taken this

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Speaker 6: very seriously and looked across the board. There's two decades

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Speaker 6: of experience from Portugal, there's twenty two countries that have

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Speaker 6: decriminalized drug use, even more that have decriminalized cannabis use,

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Speaker 6: et cetera. So We've got a lot of.

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Speaker 1: Evidence to draw from at this point and what does well.

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Speaker 2: It's interesting because the text machines are lighting up with

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Speaker 2: people saying Vancouver, Vancouver, Vancouver, So what's the experience in Canada.

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Speaker 5: Yeah.

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Speaker 6: Look, one of the things that we looked at was

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Speaker 6: are some of the pitfalls where they've gone a bit further.

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Speaker 6: So one of the problems that's happened in parts of

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Speaker 6: the world is they've gone a bit further and gone

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Speaker 6: for legalization in a commercial model, and some of those

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Speaker 6: commercial models have resulted it appears in more harm. So

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Speaker 6: we're very much coming against that in this report. The

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Speaker 6: other thing that's been clear is in places where they

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Speaker 6: have done decriminalizations, that's the lower thing, if you like,

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Speaker 6: just removing those penalties. If they haven't invested in health

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Speaker 6: approaches like treatment, you know, aduction, treatment, prevention, harm reduction,

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Speaker 6: then that they haven't seen the kinds of improvements either.

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Speaker 6: So we're recommending that the things be done in tandem.

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Speaker 6: We've got a couple of reports suggesting how that kind

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Speaker 6: of investment could be put to good use.

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Speaker 2: So in decriminalization, the police are still heavily you know,

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Speaker 2: working to punish fined and punish and put through the

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Speaker 2: court system people that are manufacturing and supplying. Yeah, yes, yeah,

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Speaker 2: So would you would you support tougher sentencing and and

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Speaker 2: that kind of in that kind of area of drugs.

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Speaker 6: In New Zale We didn't find evidence of that per se.

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Speaker 6: We did look at what other measures could be in place.

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Speaker 6: So here's the thing. If we don't do anything at

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Speaker 6: the moment, not only have things been progressively getting worse

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Speaker 6: from addiction, to overdose fatalities, to the drug supply ballooning

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Speaker 6: out of control and new psychoactive substances all the time

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Speaker 6: in the last year, that has gotten way more worse

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Speaker 6: if you like. And so if we do nothing, I

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Speaker 6: can guarantee you that our problems are exponentially going to

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Speaker 6: grow because we don't just have what's been happening over

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Speaker 6: the past fifty years. We now have an AI fuelled

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Speaker 6: drug supply chain. So we're going to experience much more problems.

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Speaker 2: But what do you mean by an AI fueled drug

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Speaker 2: supply chain.

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Speaker 6: Well, Well, it is the drag supply is developing incredibly rapidly.

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Speaker 6: And for example, just myself, as an anonymous user on

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Speaker 6: a social media platform, I have had the dark media,

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Speaker 6: dark web, sorry, arrive in my inbox offering to sell

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Speaker 6: me things that I have no interest in buying. So

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Speaker 6: we are seeing quite a transition happen I think under

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Speaker 6: supply chain, and that is going to ramp up overcoming years.

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Speaker 6: So we need to get more sophisticated in our approach.

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Speaker 6: We basically have a piece of law that was written

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Speaker 6: when culor TV had just been invented, and we now

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Speaker 6: have sophisticated AI. We are dealing with very complex problems

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Speaker 6: with a piece of law that was at the time

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Speaker 6: trying to grapple with what looks at them you know

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Speaker 6: from in hindsight to be barely any problems at all.

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Speaker 2: But surely if something pops up on someone's social media

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Speaker 2: and says here's some drugs, then you just don't click.

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Speaker 3: On that, right.

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Speaker 6: Well, no, things that are changing quite rapidly, I think, yeah.

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Speaker 3: But just on that, I mean, I note you mentioned Portugal,

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Speaker 3: and that's often held up as an example of decriminalization

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Speaker 3: and investment into health and harm reduction. But in Portugal

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Speaker 3: it is the numbers of overdose debts has plateaued and

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Speaker 3: is starting to increase again with these new synthetic drugs

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Speaker 3: that are entering the market very difficult to control, and

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Speaker 3: the danger their SRAH is when these new synthetic drugs

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Speaker 3: are coming to the market, if there is a decriminalization aspect,

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Speaker 3: very much easier to get hold of and arguably harder

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Speaker 3: to control.

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Speaker 6: Actually that generally that isn't the case. So decriminalization doesn't

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Speaker 6: encourage drug use, and we've seen that across the board. However,

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Speaker 6: what you're pointing to is that it doesn't fix everything,

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Speaker 6: and so that's why we looked at what other measures

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Speaker 6: could work, and we're suggesting that some will flexibility be

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Speaker 6: included in the legislation so that as new measures come

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Speaker 6: to light as being efficacious, that they're able to be

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Speaker 6: enacted much more easily. At the moment, our law is

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Speaker 6: very in responsive. In fact, it prevents us from doing

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Speaker 6: something that we know right now could make a difference,

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Speaker 6: and so we also want to introduce some more flexibility

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Speaker 6: because we need to do more than decriminalization. You're quite right,

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Speaker 6: it's not a panacea. What it will do is take

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Speaker 6: some of the edge off, reduce those more acute harms

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Speaker 6: that are occurring, but it won't fix some of those

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Speaker 6: supply issues. So we did look around and see what

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Speaker 6: was there in cannabis. There's some really good evidence around.

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Speaker 6: You know, a very non commercial, very very restricted supply thing.

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Speaker 6: We let people in Act Australia there are to have

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Speaker 6: a couple of plants, or there's these nonprofit clubs where

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Speaker 6: adults who are in a registered club can share some

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Speaker 6: cannabis between each other. That seems to do the least harm.

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Speaker 3: Isn't that kind of a problem.

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Speaker 2: Isn't that kind of the problem, Sarah, that there's a

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Speaker 2: blanket approach where people are looking at drugs as if drugs,

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Speaker 2: all illegal drugs are the exact same thing. So cannabis

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Speaker 2: is very different from heroin, which is very different from meth.

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Speaker 2: So why why does each drug need a different approach?

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Speaker 2: Is decriminalization might work for cannabis, but might not work

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Speaker 2: for meth.

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Speaker 6: Oh, well, the decriminalization uses one thing. Regulation is a

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Speaker 6: whole other thing. But I completely agree with you, a

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Speaker 6: different approach needs to be deployed for each substance. For

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Speaker 6: the actual use side of things. You're dealing with people

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Speaker 6: unless they're committing other crime which you can penalize them for.

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Speaker 6: Anyway that you're dealing with something that's just hurting them

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Speaker 6: and it basically just becomes this incredible amount of stigma, shame,

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Speaker 6: and inability to come forward and ask what helps you.

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Speaker 6: You're asking for those problems to grow, whereas on the

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Speaker 6: other side of things, you're quite right, we need to

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Speaker 6: develop a more sophisticated approach that applies on a substance

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Speaker 6: by substance basis rather than any blanket approaches, which is

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Speaker 6: why we haven't recommended anything further other than a law

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Speaker 6: that's able to adapt in flex with new problems. You know,

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Speaker 6: this is not about endorsing drug use. This is the thing.

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Speaker 6: So the thought has been always that if you decriminalize,

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Speaker 6: you're somehow endorsing it. You're it's about liberalization. For us,

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Speaker 6: it's the opposite here. We want to see regulation, safety

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Speaker 6: and control in place.

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Speaker 2: Yeah, so now things are changing really fast. You mentioned

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Speaker 2: AI before, but the whole when people talk about the

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Speaker 2: horror show that they're seeing in Vancouver and San Francisco,

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Speaker 2: and you know, a bunch of people that have been

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Speaker 2: over there recently are texting in and saying, you know,

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Speaker 2: it is terrible. Just the amount of people the fentifold.

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Speaker 2: What about that for New Zealand, Because you know, we're

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Speaker 2: fighting the drugs that we're fighting now. But surely you

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Speaker 2: know the fentanyl crisis is coming to New Zealand very soon.

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Speaker 7: So what exactly?

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Speaker 3: Yeah, so what are you seeing.

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Speaker 2: In thinking from your perspective on the fentanyl crisis and

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Speaker 2: how to deal with that, because once again, that's a

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Speaker 2: totally different situation. Again, it's a sometimes prescription drug that

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Speaker 2: is being heavily abused.

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Speaker 6: It's horrific, and we really want to avoid that here.

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Speaker 6: I think we all want to avoid becoming like those

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Speaker 6: parts of North America that are facing us, which is

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Speaker 6: exactly why we've put out this report because does it

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Speaker 6: not feel like we're already heading there. And one of

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Speaker 6: the things that we have noted this past year is

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Speaker 6: that for the first time, miizines, which are actually more

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Speaker 6: potent than ventanyl, have been reported as having officially having

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Speaker 6: resulted in overdose fatalities here. So we really need to

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Speaker 6: act and we can't just think that doing the same

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Speaker 6: thing is going to work. And what has happened in

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Speaker 6: North America hasn't been because of those things. That predates

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Speaker 6: any of those changes. But what I would say is

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Speaker 6: that we really want to avoid any commercial models of

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Speaker 6: supply now just.

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Speaker 2: Just finally, would it be worse for people to be

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Speaker 2: on meth or fentanyl? Because often there becomes a drug

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Speaker 2: of choice that sweeps a nation.

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Speaker 3: Is meth or fentanyl worse?

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Speaker 6: I hate to put it quite like that, but I

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Speaker 6: would say sentinel results in the hea give a lot

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Speaker 6: more fatalities. And the thing, here's the thing. When I

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Speaker 6: was over in Canada myself a year and a half ago,

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Speaker 6: I met with one of the heads of the police

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Speaker 6: force in British Columbia and I asked them, what would

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Speaker 6: you do if you could go back in time? Is

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Speaker 6: you know, kind of New Zealanders at this point and

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Speaker 6: they said to me, well, to be honest, we wish

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Speaker 6: we could have a supply of heroe, which was their

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Speaker 6: drugger choice at the time, because it would have prevented

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Speaker 6: people going on to fentanyl in the first place. So

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Speaker 6: we need to think more creatively and look for solutions.

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Speaker 6: We also need a law that allows us to adapt

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Speaker 6: because what might seem completely unpalatable and unrealistic right now,

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Speaker 6: in ten years time, we may we may need to deploy.

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Speaker 6: We're not suggesting that by any stretch, but what we

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Speaker 6: are saying was we do need a flexible more.

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Speaker 3: Sarah, thank you very much for joining us. It's a

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Speaker 3: bold idea and appreciate your time very much. That is

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Speaker 3: Sarah Holme, executive director of the New Zealand Drug Foundation,

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Speaker 3: taking your calls on this. So eight hundred and eighty

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Speaker 3: ten eighty. What do you think about this idea? It's

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Speaker 3: twenty seven past one.

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Speaker 6: Thank you.

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Speaker 1: It's hard talk, bold takes big stories. It's the Mike Costing.

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Speaker 8: Breakfast oh ce cash right down two point five Chris

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Speaker 8: Smaller's ABC Business Sales CEO. Does the world seem like

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Speaker 8: a different place to you?

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Speaker 9: Definitely?

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Speaker 1: The BIFs and important, but the more important thing is

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Speaker 1: that consumer who's going to spend more?

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Speaker 10: So mental LEFTO gives a business owner.

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Speaker 8: Nikola Willis the Finance Minister the claim I think it

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Speaker 8: was from maybe the RB's doing the work for you

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Speaker 8: fair or not.

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Speaker 7: No, the RBNZ is doing its job.

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Speaker 3: Do you think inflation will breach three? And if it does,

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Speaker 3: do you worry? That is what some of the forecasters

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Speaker 3: are telling us.

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Speaker 11: That would be temporary, a little blip's okay. What's not

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Speaker 11: okay is three years out of target as it was

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Speaker 11: under the last government.

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Speaker 8: Back tomorrow at six am the Mic Hosking Breakfast with

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Speaker 8: the Land Drover Defender News Talk ZB.

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Speaker 3: It's twenty nine past one. As you can imagine, we're

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Speaker 3: ginning a flood of texts on this issue. The Drug

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Speaker 3: and New Zealand Drug Foundation wants to decriminalize all drugs.

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Speaker 3: They say our current policies and laws are not working,

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Speaker 3: so they call him for bold new policy. What do

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Speaker 3: you say, Glenn says, Hi, guys, decriminalized by all means,

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Speaker 3: but at the same time, we should install mandatory life

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Speaker 3: sentences for all dealing, confiscation of all assets and outsource

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Speaker 3: the prison sentence to tailand two. Yeah, that would send

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Speaker 3: a message, that's for sure. Yeah.

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Speaker 2: I mean you can maybe feel some sympathy for you know,

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Speaker 2: you can feel sympathy for people that have become addicted

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Speaker 2: to drugs for whatever reason. But the people that are

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Speaker 2: making money selling them, Yeah, I mean, maybe that's the

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Speaker 2: other side of it. If you're going to deem a criminalize,

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Speaker 2: you really really slam the distributors and the manufacturer.

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Speaker 3: Because the supply is the big issue there. This one's

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Speaker 3: here is.

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Speaker 2: No to decriminalizing. Get real with penalties death or life

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Speaker 2: for supply. In five years minimum for posision. Stop this

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Speaker 2: bloody nonsense that recreational drug use is medical slash health issue.

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Speaker 3: It is a crime. It's from Colin from Nelson. Yeah,

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Speaker 3: thank you very much for that. Colin. Hey, let's decriminalize

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Speaker 3: drunk driving while we're at it. Ridiculous, right, my key,

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Speaker 3: keep those artics coming in. There's hundreds and hundreds coming through.

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Speaker 3: But we're also taking your calls. Oh, eight, one hundred

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Speaker 3: and eighty ten eighty. Is this a good idea decriminalizing

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Speaker 3: all drugs? If you've been a victim of drugs or

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Speaker 3: someone in your family has become a victim to drugs,

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Speaker 3: would love to hear your story. Do you think something

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Speaker 3: like this would work? Headlines with arailing coming up, then

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Speaker 3: taking your calls.

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Speaker 12: US talk said the headlines with blue bubble taxis. It's

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Speaker 12: no trouble with a blue bubble. Our Prime Minister says

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Speaker 12: New Zealand hopes moves on a Gaza cease fire deal

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Speaker 12: announced by the US President provide a platform for a

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Speaker 12: solution where generations of Israelis and Palestinians live in peace.

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Speaker 12: Donald Trump says Israel and Hamas have signed off the

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Speaker 12: first phase of a piece framework for Gaza after days

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Speaker 12: of negotiations in Egypt. Hamas says the agreement stipulates an

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Speaker 12: end to the war in Gaza, withdrawal of occupation, entry

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Speaker 12: of aid and a prisoner exchange. Government spending as a

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Speaker 12: percentage of GDP has fallen as debt is lower than forecast.

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Speaker 12: Financial statement show core Crown expenses fell from thirty three

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Speaker 12: point one percent of GDP to thirty two point five

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Speaker 12: and debt remained steady at forty one point eight.

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Speaker 3: The parents of mrl.

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Speaker 12: Korpa, fugitive top Phillips killed last month, are extending a

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Speaker 12: sincere apology to the local community for the trouble and

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Speaker 12: inconvenience he caused. They say they in no way supported

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Speaker 12: his actions on the run over the past four years.

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Speaker 12: Smith's City, Ohs Inland revenue one million dollars as outlooks

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Speaker 12: for creditors appear bleak. You can find out more at

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Speaker 12: enzid Herald Premium. Now here's Matt Teith and Tyler Adams.

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Speaker 3: Thank you very much, Rayleen Ramsey. We are talking about

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Speaker 3: the New Zealand Drug Foundation's idea or push to decriminalize

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Speaker 3: all drugs. They say our current laws are not working

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Speaker 3: and we've got to do something bold. What do you say,

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Speaker 3: Graham says, great interview. Fentanyl users kill themselves, meth uses

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Speaker 3: kill everyone else before themselves. Yes, a good distinction. Kenny,

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Speaker 3: Welcome to the show.

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Speaker 7: Hi, how you going. Yeah, I just I'm all for maybe,

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Speaker 7: like you know, lightening up the laws around marijuana, but

435
00:23:02,413 --> 00:23:04,253
Speaker 7: I don't think you can really do a blanket approach

436
00:23:04,293 --> 00:23:07,453
Speaker 7: for all drugs. As I started on heroin at a

437
00:23:07,533 --> 00:23:10,532
Speaker 7: very young age over in Australia and it took me

438
00:23:10,973 --> 00:23:13,253
Speaker 7: probably a good twenty six twenty eight years to get

439
00:23:13,293 --> 00:23:16,973
Speaker 7: clean because it's in dentals a lot worse than what

440
00:23:17,013 --> 00:23:19,013
Speaker 7: heroin is. So I can imagine how hard it would

441
00:23:19,013 --> 00:23:21,493
Speaker 7: be to come off those sorts of drugs. And I

442
00:23:21,533 --> 00:23:24,853
Speaker 7: think you basically let yourself in for the place where

443
00:23:24,413 --> 00:23:27,173
Speaker 7: you're making it more socially acceptable for people to take

444
00:23:27,333 --> 00:23:29,893
Speaker 7: those sorts of drugs then, and that's what I'll be

445
00:23:29,893 --> 00:23:32,213
Speaker 7: worried about. People will start saying, well, if it's not

446
00:23:32,253 --> 00:23:35,213
Speaker 7: illegal anymore, you know, why don't we try it? And

447
00:23:35,333 --> 00:23:36,853
Speaker 7: that's where you're going to have the problem.

448
00:23:37,333 --> 00:23:40,773
Speaker 2: Now when you first tried, you know, so when you've

449
00:23:40,773 --> 00:23:44,133
Speaker 2: got to realize you were addicted to heroin Kenny because

450
00:23:44,133 --> 00:23:47,573
Speaker 2: one of the reasons that they're pushing for de colminalization

451
00:23:48,053 --> 00:23:52,253
Speaker 2: is the stigma that addicts feel to go and get

452
00:23:52,253 --> 00:23:54,733
Speaker 2: help and or so they may feel like they might

453
00:23:54,773 --> 00:23:57,052
Speaker 2: get in trouble. You know, they might be legal consequences

454
00:23:57,093 --> 00:24:01,733
Speaker 2: for getting help. Did you find when you when you've

455
00:24:01,733 --> 00:24:05,333
Speaker 2: decided that you needed help, did you find it hard

456
00:24:05,373 --> 00:24:08,333
Speaker 2: to find that help? Did you worry about reaching out

457
00:24:08,413 --> 00:24:08,773
Speaker 2: for help?

458
00:24:09,853 --> 00:24:12,053
Speaker 7: Actually, I was kind of lucky. I was in a

459
00:24:12,053 --> 00:24:16,133
Speaker 7: position where I probably would have died if I hadn't

460
00:24:16,253 --> 00:24:20,213
Speaker 7: got the help, and I'd already idd once, so I

461
00:24:20,333 --> 00:24:23,253
Speaker 7: knew it was like to go under and come back

462
00:24:23,293 --> 00:24:26,573
Speaker 7: from marketing, So I did understand that, you know, I

463
00:24:26,773 --> 00:24:29,133
Speaker 7: was at basically rock bottom. So yeah, it is.

464
00:24:29,533 --> 00:24:29,812
Speaker 5: It is.

465
00:24:29,853 --> 00:24:31,613
Speaker 7: It's a really bad stigma for people to have to

466
00:24:31,693 --> 00:24:33,253
Speaker 7: go in and pick up the method oone dose every

467
00:24:33,333 --> 00:24:35,533
Speaker 7: day as well. At the chemist, you know, they could

468
00:24:35,613 --> 00:24:38,093
Speaker 7: just seeing going going into the counter, grabbing a jar

469
00:24:38,173 --> 00:24:39,773
Speaker 7: and drinking it in front of people that are in

470
00:24:39,773 --> 00:24:45,093
Speaker 7: there getting served their antibiotics or whatever other medication that

471
00:24:45,093 --> 00:24:48,533
Speaker 7: they're taking. So it can be hard. But I think

472
00:24:48,533 --> 00:24:51,813
Speaker 7: if they organized private clinics at back entrances, and stuff

473
00:24:51,853 --> 00:24:54,253
Speaker 7: like that, and you know, opened it and made it

474
00:24:54,333 --> 00:24:57,493
Speaker 7: like a bit more safely acceptable to come forward and say, look,

475
00:24:57,573 --> 00:25:00,373
Speaker 7: I'm an addict, I need help. That would be a

476
00:25:00,413 --> 00:25:03,613
Speaker 7: lot better off than just blanketing and allowing people.

477
00:25:03,413 --> 00:25:04,213
Speaker 9: To take drugs.

478
00:25:04,333 --> 00:25:07,533
Speaker 7: I mean, come on, seriously, this country's going pretty well

479
00:25:07,573 --> 00:25:10,813
Speaker 7: compared to Australia when it comes to heroin and the downs.

480
00:25:11,133 --> 00:25:15,493
Speaker 7: I don't think you want to invite them into your country's.

481
00:25:15,093 --> 00:25:18,373
Speaker 3: Risk, Kenny. I mean, look, you've got lived experience on this.

482
00:25:18,573 --> 00:25:21,173
Speaker 3: I do not when it comes to that level of drugs.

483
00:25:21,253 --> 00:25:24,133
Speaker 3: But to me, it would make more sense what you're

484
00:25:24,133 --> 00:25:27,933
Speaker 3: saying to get those health elements lined up first before

485
00:25:27,973 --> 00:25:31,373
Speaker 3: looking to decriminalize all drugs, because that is, to me,

486
00:25:31,493 --> 00:25:35,853
Speaker 3: a risky scenario, whereas lining up the health investment is

487
00:25:35,853 --> 00:25:37,973
Speaker 3: a good place to start first before you then open

488
00:25:38,013 --> 00:25:39,573
Speaker 3: the floodgates.

489
00:25:39,413 --> 00:25:44,292
Speaker 7: And advertising telling people that you know, showing people realistically.

490
00:25:44,333 --> 00:25:46,693
Speaker 7: I've seen the crash commercials that you have on TV

491
00:25:46,773 --> 00:25:48,533
Speaker 7: over here. I think that you should really put some

492
00:25:49,453 --> 00:25:51,733
Speaker 7: education of videos over there to show people O ding,

493
00:25:51,933 --> 00:25:54,533
Speaker 7: so what really can happen if you take these drugs?

494
00:25:55,013 --> 00:25:57,853
Speaker 7: So you know, maybe a lot of enlightenment to the

495
00:25:57,893 --> 00:26:00,013
Speaker 7: people over in the country first before you go and

496
00:26:00,053 --> 00:26:03,173
Speaker 7: just lanketly say okay, it's okay to take these drugs.

497
00:26:03,853 --> 00:26:06,973
Speaker 2: So you were an addict for twenty six years? Did

498
00:26:07,053 --> 00:26:10,213
Speaker 2: you say, Kenny.

499
00:26:08,813 --> 00:26:10,653
Speaker 7: Twenty six to twenty eight? I can't remember exactly. I

500
00:26:10,693 --> 00:26:14,253
Speaker 7: started when I was fourteen and I'm now I finished

501
00:26:14,253 --> 00:26:15,733
Speaker 7: when I was thirty three. I don't have kind of

502
00:26:16,173 --> 00:26:19,333
Speaker 7: doing the math. I'm not going to lie, but yeah,

503
00:26:20,213 --> 00:26:21,453
Speaker 7: you know, did what.

504
00:26:23,293 --> 00:26:23,733
Speaker 3: Finally?

505
00:26:24,293 --> 00:26:26,573
Speaker 2: Because you know, a lot most I'm not sure if

506
00:26:26,613 --> 00:26:29,093
Speaker 2: it's most people, but it's so hard for people to

507
00:26:29,133 --> 00:26:31,093
Speaker 2: get off it when they're on for that long. And

508
00:26:31,133 --> 00:26:32,933
Speaker 2: you know, I've had a lot of friends that have

509
00:26:32,973 --> 00:26:33,453
Speaker 2: gone through this.

510
00:26:34,333 --> 00:26:34,773
Speaker 3: How did it?

511
00:26:34,853 --> 00:26:37,213
Speaker 2: How did it tell us? How you got off it?

512
00:26:37,333 --> 00:26:38,173
Speaker 2: That's what I'm trying to get to.

513
00:26:38,453 --> 00:26:41,173
Speaker 7: It was it was health It was really bad healthcare.

514
00:26:42,133 --> 00:26:44,653
Speaker 7: I I did a couple of times beforehand down in Sydney.

515
00:26:44,653 --> 00:26:47,133
Speaker 7: I went back up to Brisbane and I I did

516
00:26:47,173 --> 00:26:50,613
Speaker 7: again on that sentinel, and yeah, I just decided that

517
00:26:51,253 --> 00:26:53,532
Speaker 7: this wasn't worth it. You know, I got sick of

518
00:26:53,533 --> 00:26:56,733
Speaker 7: waking up sick every day. So after a while, heroin

519
00:26:56,773 --> 00:26:58,733
Speaker 7: becomes to the point where you just need a little

520
00:26:58,773 --> 00:27:01,453
Speaker 7: bit of it just to feel normally again, and then

521
00:27:01,493 --> 00:27:04,053
Speaker 7: you can start getting high. And it's a really really

522
00:27:04,053 --> 00:27:08,533
Speaker 7: addictive substance and sentinels to one hundred times worse. So yeah, yeah,

523
00:27:08,733 --> 00:27:11,373
Speaker 7: it's not like his mess that you can it's sort

524
00:27:11,373 --> 00:27:13,812
Speaker 7: of more of a mental thing meth, whereas heroin's more

525
00:27:13,813 --> 00:27:16,493
Speaker 7: of a physical addiction that gets inside your bones, inside

526
00:27:16,493 --> 00:27:20,413
Speaker 7: your muscles, same as Sentinel and your downers. And yeah,

527
00:27:20,613 --> 00:27:24,013
Speaker 7: you really can take seizures. There's lots of other things

528
00:27:24,013 --> 00:27:25,573
Speaker 7: that can happen to you while you're coming off. That's

529
00:27:25,573 --> 00:27:27,052
Speaker 7: why they put you on days of pain and all

530
00:27:27,093 --> 00:27:30,133
Speaker 7: other sorts of drugs to try and keep your body

531
00:27:31,413 --> 00:27:33,413
Speaker 7: and the method and of course and then on our

532
00:27:33,493 --> 00:27:35,693
Speaker 7: tracksone and all these other sorts of drugs just to

533
00:27:35,933 --> 00:27:38,133
Speaker 7: help your body deal with the fact that you're coming

534
00:27:38,173 --> 00:27:41,173
Speaker 7: off heroin. It's quite a dangerous drug.

535
00:27:42,013 --> 00:27:44,813
Speaker 2: And how long did it take you before those physical

536
00:27:44,933 --> 00:27:48,733
Speaker 2: side of your addiction disappeared once you decided that you know,

537
00:27:49,013 --> 00:27:51,173
Speaker 2: you'd had enough and you didn't want to risk it anymore.

538
00:27:51,453 --> 00:27:53,413
Speaker 2: How long did it take to get to the point

539
00:27:53,413 --> 00:27:55,693
Speaker 2: where you go, well, I'm not a heroin addict anymore.

540
00:27:56,573 --> 00:27:58,773
Speaker 7: It was you can never say you're never an adict,

541
00:27:59,253 --> 00:28:01,453
Speaker 7: once an addict, always an addict. There's no way I

542
00:28:01,493 --> 00:28:04,013
Speaker 7: can ever say that I'm no longer an addict. It's

543
00:28:04,053 --> 00:28:07,333
Speaker 7: just I no longer participate in using, Right, that's the difference.

544
00:28:07,373 --> 00:28:08,693
Speaker 3: Yeah, right, you know.

545
00:28:08,693 --> 00:28:10,133
Speaker 7: What I mean, Like, there's no way you can ever

546
00:28:10,213 --> 00:28:12,093
Speaker 7: It's like your alcoholism, and there's no way you can

547
00:28:12,133 --> 00:28:15,013
Speaker 7: ever say that you're not an alcoholic, always an alcoholic.

548
00:28:15,093 --> 00:28:17,173
Speaker 7: You're just not fatiguing in the use of alcohol anymore.

549
00:28:17,213 --> 00:28:18,693
Speaker 7: You're trying to stay clean. They're trying to stay out

550
00:28:18,693 --> 00:28:20,933
Speaker 7: in the wagon. Yeah, and that's that's the same thing

551
00:28:20,973 --> 00:28:24,013
Speaker 7: with carolin. It's one of those drugs that really, really

552
00:28:24,373 --> 00:28:28,693
Speaker 7: it's it's gone tracing that it really it's dangerous and

553
00:28:29,093 --> 00:28:30,693
Speaker 7: once you get that, you don't even notice it. You

554
00:28:30,693 --> 00:28:32,653
Speaker 7: don't even notice you're addicted until you wake up my

555
00:28:32,693 --> 00:28:35,533
Speaker 7: morning and you're coughing, you're sneezing, your muscles all ache

556
00:28:35,533 --> 00:28:38,013
Speaker 7: and you're like, what's wrong with what? You're here to

557
00:28:38,093 --> 00:28:41,453
Speaker 7: take this? Yeah, it's great, and yeah.

558
00:28:41,053 --> 00:28:42,693
Speaker 3: Sorry to jump in the kine. It's great to take

559
00:28:42,773 --> 00:28:45,013
Speaker 3: to you. But what what? Why did you start at fourteen?

560
00:28:45,173 --> 00:28:47,493
Speaker 3: Was there a trigger point there? It was offered to you.

561
00:28:47,493 --> 00:28:48,253
Speaker 3: You took it on the.

562
00:28:49,853 --> 00:28:51,493
Speaker 7: Yeah, I just went to a mate face for lunch

563
00:28:51,813 --> 00:28:55,053
Speaker 7: from one of the off campus sort of units over there,

564
00:28:55,253 --> 00:28:56,773
Speaker 7: and I met up with one of the guys at

565
00:28:56,773 --> 00:28:58,013
Speaker 7: the off campus in and he goes, I come on

566
00:28:58,093 --> 00:28:59,853
Speaker 7: to much on my face. So he left around the

567
00:28:59,853 --> 00:29:01,813
Speaker 7: corner from where the school was. So I went home

568
00:29:01,853 --> 00:29:03,853
Speaker 7: to his face and his mum had left the spoon

569
00:29:03,893 --> 00:29:06,213
Speaker 7: hour on the kitchen table for him with a needle

570
00:29:06,213 --> 00:29:08,173
Speaker 7: sitting beside it. So he's trying to got another needle,

571
00:29:08,173 --> 00:29:11,333
Speaker 7: and we had a fun which then was it was

572
00:29:11,373 --> 00:29:13,693
Speaker 7: just a joke. It was just you know, it wasn't like, oh,

573
00:29:13,773 --> 00:29:16,333
Speaker 7: yeah it's good. You know, my makers goes just get stained.

574
00:29:17,413 --> 00:29:19,493
Speaker 7: So yeah, it was really dangerous.

575
00:29:19,533 --> 00:29:20,253
Speaker 4: It was that easy.

576
00:29:20,453 --> 00:29:21,933
Speaker 3: Had you been easy to paying to the point that

577
00:29:21,973 --> 00:29:25,133
Speaker 3: you knew what he knew it was.

578
00:29:25,253 --> 00:29:27,813
Speaker 7: Yeah, yeah, my mum's a making of a hospital over there,

579
00:29:27,853 --> 00:29:31,093
Speaker 7: So I won't use new names that Yeah, my mum's

580
00:29:31,133 --> 00:29:32,773
Speaker 7: making of a hostel over there. I knew what heroin was.

581
00:29:33,013 --> 00:29:35,133
Speaker 7: I knew what method was from a very young age.

582
00:29:36,013 --> 00:29:37,733
Speaker 7: Because he come home, she try and talk to dad

583
00:29:37,853 --> 00:29:41,293
Speaker 7: quietly about what had happened in the hospital. And obviously

584
00:29:41,293 --> 00:29:43,973
Speaker 7: over here, and there's a lot of crazy stuff that

585
00:29:44,013 --> 00:29:46,293
Speaker 7: goes on, especially with a mess, and there's a lot

586
00:29:46,333 --> 00:29:48,453
Speaker 7: of crazy stuff that goes on with heroin. People are

587
00:29:48,613 --> 00:29:51,373
Speaker 7: coming down after they've been marching. They want their dose

588
00:29:51,413 --> 00:29:53,373
Speaker 7: because they want to get on again because now they're sick.

589
00:29:54,373 --> 00:29:57,373
Speaker 7: The track saying that they give you and the blockers

590
00:29:57,653 --> 00:30:00,373
Speaker 7: they actually create you will cause you to go into

591
00:30:00,613 --> 00:30:04,413
Speaker 7: basically withdrawal. So Muma just described how people were smashing

592
00:30:04,453 --> 00:30:06,813
Speaker 7: up the hospital and stuff because they couldn't get their fixed.

593
00:30:06,813 --> 00:30:09,733
Speaker 7: So I knew what was going on, I just was

594
00:30:09,773 --> 00:30:11,773
Speaker 7: oblivious to how bad it actually would be.

595
00:30:12,333 --> 00:30:14,733
Speaker 2: Yeah, well, thank you so much for ringing and sharing

596
00:30:14,773 --> 00:30:18,813
Speaker 2: that with us, Kenny, and congratulations on being in the

597
00:30:18,853 --> 00:30:22,413
Speaker 2: position that you are and now and putting in the

598
00:30:22,453 --> 00:30:26,653
Speaker 2: work and to not be taking Heroin anymore.

599
00:30:26,853 --> 00:30:32,853
Speaker 3: So there you go. That's a x Heroin user who

600
00:30:33,453 --> 00:30:36,973
Speaker 3: who is anti decriminalization. Yeah, very fascinating. Thank you very

601
00:30:37,053 --> 00:30:39,173
Speaker 3: much for that call, taking yours on oh, eight hundred

602
00:30:39,173 --> 00:30:41,573
Speaker 3: and eighty ten eighty It is seventeen to two.

603
00:30:42,533 --> 00:30:44,973
Speaker 1: The issues that affect you and a bit of fun

604
00:30:45,013 --> 00:30:49,293
Speaker 1: along the way. Mad Heath and Tyler Adams Afternoons News talks.

605
00:30:48,933 --> 00:30:51,893
Speaker 3: That'd be afternoons use. So the New Zealand Drug Foundation

606
00:30:51,973 --> 00:30:55,533
Speaker 3: wants to decriminalize all drugs. Do you think that would

607
00:30:55,573 --> 00:30:57,693
Speaker 3: work in relation to our drug lauls of one hundred

608
00:30:57,693 --> 00:30:58,533
Speaker 3: and eighty ten eighties.

609
00:30:58,373 --> 00:31:01,413
Speaker 2: Number to call Blair, Welcome to the show. You've been

610
00:31:01,773 --> 00:31:04,613
Speaker 2: following a drug legalization for decades.

611
00:31:04,653 --> 00:31:10,773
Speaker 13: I understand, I think close to fifty five actually.

612
00:31:11,413 --> 00:31:15,173
Speaker 3: Okay, And what's your thoughts on this policy or idea

613
00:31:15,213 --> 00:31:16,093
Speaker 3: from the Drug Foundation.

614
00:31:17,533 --> 00:31:22,373
Speaker 13: Well, it's a good question to examine where the drug

615
00:31:22,453 --> 00:31:27,933
Speaker 13: laws are. Certainly a lot of people, including a significant

616
00:31:28,013 --> 00:31:32,053
Speaker 13: number of academics, now question whether the Misuse of Drugs

617
00:31:32,053 --> 00:31:37,253
Speaker 13: Act is for purpose and that has always been the question.

618
00:31:37,853 --> 00:31:40,453
Speaker 13: We should have been asking that question ten years after

619
00:31:40,493 --> 00:31:44,773
Speaker 13: it was implemented, indeed Helen Clark did. But the fact

620
00:31:44,773 --> 00:31:49,853
Speaker 13: that it remains fifty years later is defective, deficient and inefficient.

621
00:31:50,813 --> 00:31:56,853
Speaker 13: The fact that it's application is classiest rated aid. This

622
00:31:57,413 --> 00:32:01,133
Speaker 13: application deserves a scrutiny, and it's a shame in New

623
00:32:01,213 --> 00:32:05,133
Speaker 13: Zealand didn't include that.

624
00:32:05,293 --> 00:32:08,453
Speaker 2: That's what are you say to you cut out there

625
00:32:08,453 --> 00:32:12,213
Speaker 2: and then you used a lot of ists. What's that

626
00:32:12,253 --> 00:32:14,573
Speaker 2: got to do with the current situation we're talking about, Lenn.

627
00:32:17,013 --> 00:32:22,533
Speaker 13: The principle here is the misuse of drug examined by

628
00:32:22,773 --> 00:32:26,093
Speaker 13: the Drug Foundation and they found it wanted them. But

629
00:32:26,213 --> 00:32:31,173
Speaker 13: the proposal that decriminalization is adequate is questionable. And I

630
00:32:31,213 --> 00:32:34,293
Speaker 13: say that because you have to honor the supply chain.

631
00:32:34,373 --> 00:32:38,893
Speaker 13: If you don't, you're dis manufacturing criminals and prison muster.

632
00:32:39,173 --> 00:32:41,053
Speaker 3: What do you mean, what do you mean? What do

633
00:32:41,133 --> 00:32:42,373
Speaker 3: you mean? Honor the supply chain?

634
00:32:42,413 --> 00:32:46,813
Speaker 13: Sorry, increase it, Increase it. I mean the police were

635
00:32:46,853 --> 00:32:49,453
Speaker 13: given powers to which they weren't entitled when the Misuse

636
00:32:49,453 --> 00:32:51,773
Speaker 13: of Drugs Act was passed. And I'm quoting the then

637
00:32:51,893 --> 00:32:57,693
Speaker 13: Minister Healthed Tom mcgwiggan, whom I knew personally, But I

638
00:32:57,773 --> 00:33:01,853
Speaker 13: come from this from pre the nineteen seventy five. In fact,

639
00:33:01,893 --> 00:33:04,013
Speaker 13: I was part of a quorum of people here in

640
00:33:04,093 --> 00:33:08,853
Speaker 13: christ Church at Candidate University that questioned whether that cannabis

641
00:33:08,893 --> 00:33:11,453
Speaker 13: would even be included in that to any great extent,

642
00:33:11,493 --> 00:33:13,453
Speaker 13: and we did everything wrong around that.

643
00:33:13,813 --> 00:33:16,293
Speaker 2: So you're saying, so you're saying that they should increase

644
00:33:16,373 --> 00:33:18,613
Speaker 2: the amount of drugs going into the system.

645
00:33:19,733 --> 00:33:23,213
Speaker 13: No, it's counterintuitive, I know, and I get it, and

646
00:33:23,253 --> 00:33:25,933
Speaker 13: it's a big struggle for people after having been pretty

647
00:33:25,973 --> 00:33:31,573
Speaker 13: much indoctrinated by drug raw rhetoric over so long that

648
00:33:31,653 --> 00:33:34,853
Speaker 13: they would believe that what we're doing is working at all.

649
00:33:34,933 --> 00:33:37,453
Speaker 13: But the more we redouble our efforts, it seems the

650
00:33:37,533 --> 00:33:40,573
Speaker 13: problem gets bigger. And the evidence that it gets bigger is,

651
00:33:41,093 --> 00:33:44,613
Speaker 13: you know, it's self evident. Here's the thing. Canada changed

652
00:33:44,653 --> 00:33:48,093
Speaker 13: the rules and adopted pretty much what we had mooted

653
00:33:48,133 --> 00:33:51,453
Speaker 13: to the Select Committee pre two thousand, which was a

654
00:33:51,493 --> 00:33:56,093
Speaker 13: thing called Class D. Canada has legally regulated and managed

655
00:33:56,093 --> 00:34:00,253
Speaker 13: the supply chain of cannabis, specifically cannabis, although it could

656
00:34:00,333 --> 00:34:03,213
Speaker 13: apply to other drugs if we wanted it, which is

657
00:34:03,253 --> 00:34:06,133
Speaker 13: what really Sarah helm is talking about, if we managed

658
00:34:06,173 --> 00:34:10,692
Speaker 13: that better, right, But the difference between decriminalization, even the

659
00:34:10,733 --> 00:34:14,493
Speaker 13: word criminalization is still in the word. The difference between

660
00:34:14,533 --> 00:34:21,213
Speaker 13: decriminalization and is honor the supply chain. The control we

661
00:34:21,293 --> 00:34:25,213
Speaker 13: have over it is fastly increased. In fact, delouittees you know,

662
00:34:26,013 --> 00:34:29,613
Speaker 13: well you know, substantial organization looked at this, and then

663
00:34:29,653 --> 00:34:33,053
Speaker 13: the latest Stats Canada report that just come out in

664
00:34:33,133 --> 00:34:37,053
Speaker 13: August validated that the return I will do it do

665
00:34:37,173 --> 00:34:40,373
Speaker 13: this in New Zealand dollars, the return and GDP from

666
00:34:40,413 --> 00:34:42,133
Speaker 13: the cannabis law reform Canada.

667
00:34:43,653 --> 00:34:48,013
Speaker 2: Pleasure about we put cannabis aside out of this situation,

668
00:34:48,213 --> 00:34:50,732
Speaker 2: because you know that's a total I mean, I think

669
00:34:50,773 --> 00:34:52,973
Speaker 2: you need to look at drugs differently. But if you

670
00:34:53,013 --> 00:34:55,693
Speaker 2: go to the Canadian model, and so many people that

671
00:34:55,693 --> 00:34:58,093
Speaker 2: have recently been in Canadia are just talking about Canada,

672
00:34:58,133 --> 00:35:02,733
Speaker 2: Canadian Canada are just talking about what ventanyl's doing over there.

673
00:35:03,213 --> 00:35:05,813
Speaker 2: So if you, if you, I mean cannabis is a

674
00:35:05,813 --> 00:35:08,893
Speaker 2: totally different thing from ventanyl. If you, if you honor

675
00:35:08,933 --> 00:35:12,693
Speaker 2: the supply chain of fentanyl, aren't you just going to

676
00:35:12,773 --> 00:35:16,053
Speaker 2: have more people fenty folding on the streets in the

677
00:35:18,653 --> 00:35:21,813
Speaker 2: areas of just basically and zombie apocalypse that we've got.

678
00:35:21,613 --> 00:35:26,573
Speaker 13: Now yep, and it's parents in Canada. As I drove

679
00:35:26,973 --> 00:35:30,293
Speaker 13: right from Quebec all the way to suit on Victoria

680
00:35:30,333 --> 00:35:35,732
Speaker 13: Island and sorry, I'm Vancouver Island. In Victoria, I saw

681
00:35:36,053 --> 00:35:39,693
Speaker 13: rampant drug use. And here's the thing that really staggered

682
00:35:39,733 --> 00:35:43,053
Speaker 13: me was that within fifty meters of places which sold

683
00:35:43,133 --> 00:35:47,653
Speaker 13: alcohol you found the most of open injecting. I watched

684
00:35:47,653 --> 00:35:50,013
Speaker 13: these people put the needles in their arm. It disgusts

685
00:35:50,133 --> 00:35:53,053
Speaker 13: me to say that, But then to walk past a

686
00:35:53,133 --> 00:35:57,613
Speaker 13: nearby parking meter and below. It was not only about

687
00:35:57,653 --> 00:36:02,373
Speaker 13: thirty or forty sharps potentially harmful to anybody that might

688
00:36:02,413 --> 00:36:05,252
Speaker 13: pick them up or inadvertently and or a stand on them.

689
00:36:05,733 --> 00:36:10,093
Speaker 13: And the thing here is that sort of manifest harm,

690
00:36:10,253 --> 00:36:14,013
Speaker 13: and when it's particularly visible like that, is awful. But

691
00:36:14,973 --> 00:36:19,253
Speaker 13: while Canada has liberalized the rules around cannabis, they like us,

692
00:36:19,413 --> 00:36:22,933
Speaker 13: haven't dealt with what I call the harder drugs. We

693
00:36:23,413 --> 00:36:27,093
Speaker 13: have an education system that teaches people, particularly young people,

694
00:36:27,373 --> 00:36:29,813
Speaker 13: that if it's class A, it must be really excellent.

695
00:36:30,253 --> 00:36:33,533
Speaker 13: We couldn't get it more wrong. Now, I'm a co

696
00:36:33,613 --> 00:36:36,573
Speaker 13: founder of Educators for Sensible Drug Policy in Canada.

697
00:36:36,693 --> 00:36:40,893
Speaker 2: Well, who's who's teaching that Class A drugs are excellent?

698
00:36:40,893 --> 00:36:42,853
Speaker 2: Are you just saying but when we when we describe

699
00:36:42,893 --> 00:36:46,732
Speaker 2: something as getting an as excellent, but are you saying

700
00:36:46,773 --> 00:36:48,933
Speaker 2: that people are conflating that with class drug.

701
00:36:50,253 --> 00:36:52,733
Speaker 13: The double standards that are applied here in respect of

702
00:36:52,813 --> 00:36:57,453
Speaker 13: alcohol and tobacco in particular, right, alcohol wouldn't be legally

703
00:36:57,533 --> 00:37:04,533
Speaker 13: regulated by any standard. It pus that we render in

704
00:37:04,573 --> 00:37:09,533
Speaker 13: our community that the fact that alcohol is when I say, estimatedly,

705
00:37:10,213 --> 00:37:13,453
Speaker 13: you know, by qualified people to actually be killing nine

706
00:37:13,533 --> 00:37:17,853
Speaker 13: thousand people a year in New Zealand. You know, it's

707
00:37:17,893 --> 00:37:20,533
Speaker 13: not always as obvious that the cancer you've got is

708
00:37:20,573 --> 00:37:23,893
Speaker 13: because that you drank alcohol. But that's the reality of

709
00:37:23,933 --> 00:37:28,933
Speaker 13: the situation. We have discredited drug education in New Zealand

710
00:37:29,013 --> 00:37:32,693
Speaker 13: because it doesn't work. That's why the problem is getting worse.

711
00:37:33,733 --> 00:37:37,373
Speaker 2: Okay, well, sorry, sorry, Blair. I think if you cool,

712
00:37:37,373 --> 00:37:39,212
Speaker 2: you're just cutting out quite a lot there.

713
00:37:39,973 --> 00:37:42,053
Speaker 3: There's a lot of timepack and what Blair was saying

714
00:37:42,133 --> 00:37:47,333
Speaker 3: there just on the idea of increasing supply I cannot

715
00:37:47,373 --> 00:37:49,813
Speaker 3: agree with. And the reason I can't agree with that

716
00:37:49,973 --> 00:37:52,692
Speaker 3: is because Portugal, again, that is the big problem they're

717
00:37:52,693 --> 00:37:55,333
Speaker 3: having with drug traffickers. They're dealing with the users, but

718
00:37:55,373 --> 00:37:57,493
Speaker 3: they cannot figure out how to deal with the drug

719
00:37:57,533 --> 00:38:01,373
Speaker 3: traffickers and the suppliers who are invading that country now

720
00:38:01,533 --> 00:38:04,133
Speaker 3: because they decriminalized. That is just the reality of what's

721
00:38:04,173 --> 00:38:04,933
Speaker 3: happening in Portugal.

722
00:38:05,053 --> 00:38:07,453
Speaker 2: Yeah, and that's not what Sarah was saying from the

723
00:38:07,493 --> 00:38:08,973
Speaker 2: Drug Foundation we talked before.

724
00:38:09,013 --> 00:38:09,493
Speaker 3: Sarah help.

725
00:38:09,573 --> 00:38:11,693
Speaker 2: Yeah, she're saying that you can keep that you keep

726
00:38:11,773 --> 00:38:14,693
Speaker 2: the penalties on the supplies and the manufacturers.

727
00:38:14,973 --> 00:38:17,652
Speaker 3: Yeah, interesting thoughts. So Blair, thank you. Very much. It

728
00:38:17,693 --> 00:38:18,493
Speaker 3: is seven to two.

729
00:38:19,773 --> 00:38:23,333
Speaker 1: Matt Heath, Taylor Adams taking your calls on eight hundred

730
00:38:23,333 --> 00:38:25,893
Speaker 1: and eighty ten eighty. It's Matt Heath and Taylor Adams

731
00:38:26,013 --> 00:38:27,693
Speaker 1: Afternoons News Talks.

732
00:38:27,533 --> 00:38:31,732
Speaker 3: EDB, News Talks ed B. It is four to two.

733
00:38:32,373 --> 00:38:34,933
Speaker 2: Yes, so what an interesting chat. Thank you for all

734
00:38:35,013 --> 00:38:37,333
Speaker 2: your your calls and your text on that. If you're

735
00:38:37,373 --> 00:38:40,973
Speaker 2: interested in the study that is supporting decriminalization, check it

736
00:38:41,013 --> 00:38:45,333
Speaker 2: out at the Drug Foundation dot org dot in Z.

737
00:38:46,093 --> 00:38:48,053
Speaker 2: I don't know if that is the solution, but the

738
00:38:48,173 --> 00:38:51,253
Speaker 2: horror show that is fentanyl in North America is coming,

739
00:38:52,453 --> 00:38:55,173
Speaker 2: so we probably should start doing something to protect New

740
00:38:55,253 --> 00:38:58,172
Speaker 2: Zealand from it. I don't know what that particular thing

741
00:38:58,253 --> 00:39:01,413
Speaker 2: we can do, but we've seen it happening overseas, so

742
00:39:01,853 --> 00:39:03,733
Speaker 2: there are some lessons surely to be learned. But it

743
00:39:03,733 --> 00:39:05,373
Speaker 2: would be great, wouldn't it if we got on top

744
00:39:05,373 --> 00:39:07,613
Speaker 2: of something ahead of time for once in this country?

745
00:39:07,693 --> 00:39:10,813
Speaker 3: Yeah? How good would that be? Nicely said? Great discussion,

746
00:39:10,853 --> 00:39:13,773
Speaker 3: Thank you very much. Coming on up after two o'clock,

747
00:39:13,893 --> 00:39:16,692
Speaker 3: let's have a chat about Cheersy's. It's just launched a

748
00:39:16,733 --> 00:39:18,773
Speaker 3: new debit master card that gives one percent of your

749
00:39:18,773 --> 00:39:21,413
Speaker 3: spending back instead of going to your wallet. That goes

750
00:39:21,453 --> 00:39:24,893
Speaker 3: into your Cheersy's portfolio. But for the cheers he's users

751
00:39:24,933 --> 00:39:27,933
Speaker 3: out there, and there is more than eight hundred thousand

752
00:39:27,933 --> 00:39:29,293
Speaker 3: in New Zealand. Why do you use it?

753
00:39:30,173 --> 00:39:30,253
Speaker 14: Oh?

754
00:39:30,333 --> 00:39:32,253
Speaker 3: Eight hundred eighty ten eighty is the number to call.

755
00:39:32,333 --> 00:39:34,133
Speaker 3: Nine two nine to is the text number New Sport

756
00:39:34,133 --> 00:39:36,533
Speaker 3: and we're the fast approaching. Stay right here, we'll be

757
00:39:36,533 --> 00:39:37,133
Speaker 3: back very.

758
00:39:37,133 --> 00:39:42,733
Speaker 1: Surely talking with you all afternoon. It's Matt Heath and

759
00:39:42,813 --> 00:39:45,413
Speaker 1: Taylor Adams Afternoons news talks.

760
00:39:45,453 --> 00:39:49,573
Speaker 3: It'd be afternoon to you at a six pass to

761
00:39:49,933 --> 00:39:54,173
Speaker 3: mad Heath. You are donkey deep in the base right now.

762
00:39:54,693 --> 00:39:57,133
Speaker 3: I can hear that you've got the double screens going on. Mate,

763
00:39:57,133 --> 00:39:59,293
Speaker 3: this I have to turn this off. I think you've

764
00:39:59,293 --> 00:40:00,652
Speaker 3: got to turn it down a little bit just for

765
00:40:00,693 --> 00:40:03,013
Speaker 3: the users. I mean, well, I'm very interested. And how's

766
00:40:03,013 --> 00:40:05,173
Speaker 3: it going. By the way, it hasn't started wearing that.

767
00:40:05,253 --> 00:40:06,653
Speaker 3: We're in pregame warm.

768
00:40:06,573 --> 00:40:10,453
Speaker 2: Ups at the moment, third of the Dodger's Filly Division

769
00:40:10,573 --> 00:40:13,933
Speaker 2: series in the postseason of the MLB Dodgers up to

770
00:40:14,093 --> 00:40:17,693
Speaker 2: my beloved Dodgers so they could eliminate the Phillies today

771
00:40:17,853 --> 00:40:19,893
Speaker 2: and they're playing at home at Dodgers Stadium, so.

772
00:40:20,413 --> 00:40:22,813
Speaker 3: It's bad time in the show, you know, when the

773
00:40:22,813 --> 00:40:24,453
Speaker 3: Dodgers are about to kick into it.

774
00:40:24,613 --> 00:40:27,773
Speaker 2: Okay, look yeah, bre we go. Okay, yeah, I'll turn

775
00:40:27,773 --> 00:40:29,212
Speaker 2: it down, but I'm not going to turn it off. Yeah,

776
00:40:29,213 --> 00:40:31,973
Speaker 2: fair enough, So we'll have one eye on that.

777
00:40:32,213 --> 00:40:33,773
Speaker 3: You've got a great little set up there. You've got

778
00:40:33,773 --> 00:40:36,533
Speaker 3: it wedged up against the stapler. I love it. Multitasking,

779
00:40:36,613 --> 00:40:40,013
Speaker 3: you're very good at that. Yeah, yeah, and look at that. Yeah.

780
00:40:40,333 --> 00:40:43,213
Speaker 3: Yashinobo Yamamoto is pitching today, so it's exciting.

781
00:40:43,253 --> 00:40:45,853
Speaker 2: He's bloody great. Who let's go Dodgers. It's going to

782
00:40:45,853 --> 00:40:48,013
Speaker 2: be a big afternoon. All right, all right, let's get

783
00:40:48,013 --> 00:40:49,893
Speaker 2: into this chat. That's going to be a good discussion.

784
00:40:49,973 --> 00:40:52,573
Speaker 2: So Cheesy's has just launched a debit master card. It

785
00:40:52,613 --> 00:40:54,733
Speaker 2: gives you one percent of your spending back. This is

786
00:40:54,733 --> 00:40:57,053
Speaker 2: the first of its kind in New Zealand. Instead of

787
00:40:57,093 --> 00:40:59,813
Speaker 2: that one percent going into your wallet, it's invested back

788
00:40:59,853 --> 00:41:02,973
Speaker 2: into your Cheesy's portfolio. So Cheesy's, if you don't know,

789
00:41:03,373 --> 00:41:05,453
Speaker 2: it's an app which allows users to get into the

790
00:41:05,453 --> 00:41:08,813
Speaker 2: sheer market with very small amounts of money. A lot

791
00:41:08,813 --> 00:41:11,893
Speaker 2: of the hurdles to make it accessible for pretty much anyone,

792
00:41:12,213 --> 00:41:13,253
Speaker 2: hugely popular.

793
00:41:13,413 --> 00:41:16,413
Speaker 3: Over eight hundred thousand users that I've gone.

794
00:41:16,373 --> 00:41:19,693
Speaker 2: That's that's amazing. So that's eight hundred thousand New Zealand users.

795
00:41:19,733 --> 00:41:20,693
Speaker 3: Correct.

796
00:41:20,493 --> 00:41:24,172
Speaker 2: That is huge when those people that got together because

797
00:41:24,173 --> 00:41:26,133
Speaker 2: there's there's a smart group of people that got together

798
00:41:26,173 --> 00:41:28,573
Speaker 2: and had the idea. I mean, the successive had on

799
00:41:28,613 --> 00:41:32,613
Speaker 2: it is phenomenal. Absolutely, that's impressive.

800
00:41:33,133 --> 00:41:35,252
Speaker 3: And I've got to say, I'm on cheersy so yeah

801
00:41:35,253 --> 00:41:36,653
Speaker 3: on cheesys, man, I'm on Cheers's.

802
00:41:36,693 --> 00:41:36,893
Speaker 4: Yeah.

803
00:41:36,893 --> 00:41:38,253
Speaker 3: I got my kids on cheers EA's.

804
00:41:39,733 --> 00:41:39,893
Speaker 5: Yeah.

805
00:41:39,893 --> 00:41:42,413
Speaker 3: I mean, this isn't a paid for cheers he's commercial. No.

806
00:41:42,773 --> 00:41:44,652
Speaker 3: So are we going to limit the amount of times

807
00:41:44,653 --> 00:41:47,493
Speaker 3: we say cheersys? It's going to be hard. So what

808
00:41:47,533 --> 00:41:49,652
Speaker 3: was the upper limit? Maybe thirty times we could say

809
00:41:49,693 --> 00:41:53,172
Speaker 3: Cheersy's over. We've already wasted probably seven. Yeah.

810
00:41:53,213 --> 00:41:56,733
Speaker 2: But for me, you know, and some people call it

811
00:41:56,733 --> 00:42:01,813
Speaker 2: the gamification of the stock market, and there are you know,

812
00:42:01,893 --> 00:42:04,773
Speaker 2: accusations that it leads to day trading all that kind

813
00:42:04,813 --> 00:42:08,493
Speaker 2: of stuff, But for me, it's just just low the

814
00:42:08,533 --> 00:42:11,093
Speaker 2: threshold of getting into the stock market and I just

815
00:42:11,133 --> 00:42:14,212
Speaker 2: put my money into ETS's anyway. Yes, So, I mean

816
00:42:14,253 --> 00:42:17,293
Speaker 2: there was a time when I was riding writing up

817
00:42:17,333 --> 00:42:20,333
Speaker 2: and down on the different you know, trying to trying

818
00:42:20,333 --> 00:42:23,133
Speaker 2: to get the trends every day, the day trading, the

819
00:42:23,213 --> 00:42:25,133
Speaker 2: day trading, and that didn't go great for me. Yeah,

820
00:42:25,533 --> 00:42:27,573
Speaker 2: I've got to admit it went great some days and

821
00:42:28,453 --> 00:42:31,253
Speaker 2: terrible the other days. But just just having some money

822
00:42:31,253 --> 00:42:35,173
Speaker 2: going in there automatically and going into some keyfully selected

823
00:42:35,213 --> 00:42:36,373
Speaker 2: ETS's is.

824
00:42:37,853 --> 00:42:39,692
Speaker 3: It's not a bad way to go, is it. No,

825
00:42:39,773 --> 00:42:41,573
Speaker 3: it's not. But you did the right thing that you

826
00:42:41,613 --> 00:42:44,093
Speaker 3: put all of yours into an ETF and you figured

827
00:42:44,093 --> 00:42:47,253
Speaker 3: that out pretty fast. I got to say I didn't

828
00:42:47,253 --> 00:42:50,533
Speaker 3: figure that out, so I ended up not losing a

829
00:42:50,533 --> 00:42:52,053
Speaker 3: hell of a lot of money. But I never did

830
00:42:52,053 --> 00:42:54,133
Speaker 3: that well in Chezy, So that meant that I stopped

831
00:42:54,133 --> 00:42:56,373
Speaker 3: putting money into it, and that was probably a bad

832
00:42:56,413 --> 00:42:58,613
Speaker 3: mistake on my part. But I had no idea what

833
00:42:58,653 --> 00:43:01,333
Speaker 3: I was doing, no idea whatsoever. And this isn't having

834
00:43:01,333 --> 00:43:03,853
Speaker 3: to go at Cheesy's. I was just a bit cavalier

835
00:43:03,933 --> 00:43:06,453
Speaker 3: with where I was putting my money because I thought

836
00:43:06,453 --> 00:43:08,212
Speaker 3: it was fun and it was a bit of a game,

837
00:43:08,333 --> 00:43:10,093
Speaker 3: and initially it was you know, I saw it going

838
00:43:10,173 --> 00:43:12,733
Speaker 3: up and then it all crashed down, So there is

839
00:43:12,773 --> 00:43:13,692
Speaker 3: that element as well.

840
00:43:14,053 --> 00:43:15,733
Speaker 2: Yeah, I mean there's the other apps out there like

841
00:43:15,813 --> 00:43:19,333
Speaker 2: robin Hood for example, which is which has definitely received

842
00:43:19,333 --> 00:43:23,172
Speaker 2: the allegations of the gamification of the stock market. But

843
00:43:23,573 --> 00:43:25,213
Speaker 2: for me, I just thought it was a good idea,

844
00:43:25,373 --> 00:43:28,212
Speaker 2: especially for my two sons, just you know, a really

845
00:43:28,293 --> 00:43:30,853
Speaker 2: quick way to set them up with, you know, to

846
00:43:30,853 --> 00:43:33,293
Speaker 2: look at another way to invest and sort of see

847
00:43:33,293 --> 00:43:36,293
Speaker 2: how money works in the world. So, you know, we're

848
00:43:36,293 --> 00:43:38,253
Speaker 2: gonna we're talking about this new debit card that that

849
00:43:38,293 --> 00:43:39,373
Speaker 2: Shares's has got.

850
00:43:39,213 --> 00:43:42,213
Speaker 3: Going on, and the idea is that one percent if

851
00:43:42,213 --> 00:43:42,732
Speaker 3: you sign up.

852
00:43:42,653 --> 00:43:45,133
Speaker 2: To this debit card and there's a huge waiting list

853
00:43:45,333 --> 00:43:46,973
Speaker 2: there is I think there's thirty thousand people on the

854
00:43:46,973 --> 00:43:50,573
Speaker 2: waiting list for it and the initial run is six.

855
00:43:50,413 --> 00:43:53,013
Speaker 3: Thousand, correct, yep, So there'll be a bit of a

856
00:43:53,013 --> 00:43:54,573
Speaker 3: weight if you want to get on this bandwagon. But

857
00:43:54,573 --> 00:43:55,413
Speaker 3: it sounds like a good idea.

858
00:43:55,413 --> 00:43:58,813
Speaker 2: So the basic idea is that you buy something and

859
00:43:59,133 --> 00:44:03,013
Speaker 2: a one percent of that purchase goes to shares that

860
00:44:03,013 --> 00:44:03,893
Speaker 2: you allocate where.

861
00:44:03,733 --> 00:44:05,853
Speaker 3: It goes, Yeah, outside out of mind almost.

862
00:44:05,533 --> 00:44:08,173
Speaker 2: So it's kind of like that James Clear automatic habits

863
00:44:08,733 --> 00:44:12,613
Speaker 2: type of thinking that you automate, you automate sensible behavior.

864
00:44:12,693 --> 00:44:16,453
Speaker 3: Yeah, and it makes so instead of you know, you going, well, look,

865
00:44:16,493 --> 00:44:21,013
Speaker 3: I've just bought a two thousand dollars pair of jeans.

866
00:44:21,853 --> 00:44:24,252
Speaker 3: Can you do that? They're out there? My costking, Yeah,

867
00:44:24,253 --> 00:44:25,293
Speaker 3: my cost he's got two thousand.

868
00:44:25,333 --> 00:44:27,213
Speaker 2: But it's strange they're all ripped up anyway, they'reth two

869
00:44:27,213 --> 00:44:31,413
Speaker 2: thousand dollars. But then you know that then and then

870
00:44:31,573 --> 00:44:34,453
Speaker 2: going home, because I've done this before, when I've made

871
00:44:34,453 --> 00:44:36,573
Speaker 2: a big purchase of something, I've sort of punished myself

872
00:44:36,613 --> 00:44:38,973
Speaker 2: by putting money into my.

873
00:44:38,933 --> 00:44:40,973
Speaker 3: Savings as well. Smart. That's very smart.

874
00:44:41,333 --> 00:44:42,933
Speaker 2: So if I spend a lot, I'll go, Okay, I'll

875
00:44:42,933 --> 00:44:45,133
Speaker 2: allow myself to buy this, but then I have to

876
00:44:45,133 --> 00:44:46,772
Speaker 2: put the same amount of money into my key we save.

877
00:44:46,813 --> 00:44:48,573
Speaker 3: Or something like that. You know that kind of logit. Yeah, oh,

878
00:44:48,573 --> 00:44:50,732
Speaker 3: one hundred eighty ten eighty. How do you feel about

879
00:44:50,733 --> 00:44:52,973
Speaker 3: this idea of this new master card that gives you

880
00:44:53,013 --> 00:44:55,013
Speaker 3: one percent of your spending back out of sight, out

881
00:44:55,013 --> 00:44:56,453
Speaker 3: of mind, as you say, it's kind of a bit

882
00:44:56,493 --> 00:44:59,253
Speaker 3: of a reward system, giving back some cash to a

883
00:44:59,693 --> 00:45:03,453
Speaker 3: sheer portfolio, and just the platform of charesy's. Is it

884
00:45:03,493 --> 00:45:07,053
Speaker 3: genuinely helping keywis get smarter with money? Or is investing

885
00:45:07,133 --> 00:45:10,213
Speaker 3: becoming too casual and risky for first time users? Yeah?

886
00:45:10,573 --> 00:45:14,613
Speaker 2: And yeah, just investment in general. Is investing in the

887
00:45:14,613 --> 00:45:18,693
Speaker 2: stock market the best way to go? The text machine

888
00:45:18,733 --> 00:45:20,413
Speaker 2: has lit up, as it always does when it comes

889
00:45:20,493 --> 00:45:23,573
Speaker 2: to these kind of chats with pro crypto chat. Yes,

890
00:45:23,973 --> 00:45:28,133
Speaker 2: so property crypto, you know an investment property crypto?

891
00:45:29,373 --> 00:45:30,333
Speaker 3: You know shares?

892
00:45:31,333 --> 00:45:35,013
Speaker 2: And is it still better to go to a stockbroker? Yeah,

893
00:45:35,053 --> 00:45:36,653
Speaker 2: and do it the old fashioned way exactly.

894
00:45:36,693 --> 00:45:38,293
Speaker 3: If you got a stockbroker, love to hear from you. Oh,

895
00:45:38,293 --> 00:45:40,773
Speaker 3: eight hundred eighty ten eighty. If you're on shares, he's

896
00:45:40,813 --> 00:45:42,853
Speaker 3: how's it working for you? Is it the best way

897
00:45:42,893 --> 00:45:45,813
Speaker 3: to grow wealth? Nine two ninety two is the text number.

898
00:45:46,173 --> 00:45:52,853
Speaker 3: It is twelve past two.

899
00:45:51,133 --> 00:45:55,692
Speaker 1: Your home of afternoon talk Matt Heathen, Taylor Adams afternoons call,

900
00:45:55,853 --> 00:46:02,333
Speaker 1: Oh eight hundred eighty ten eighty us talk, zaid be.

901
00:46:00,413 --> 00:46:02,093
Speaker 3: For a good afternoon to you. So we're talking about

902
00:46:02,333 --> 00:46:03,293
Speaker 3: shears ease.

903
00:46:03,213 --> 00:46:06,013
Speaker 2: And I've been an idiot again. I said the wrong thing.

904
00:46:06,253 --> 00:46:07,853
Speaker 2: I don't know why I said ets when I was

905
00:46:07,893 --> 00:46:11,173
Speaker 2: describing about you know, just setting up an ETS that

906
00:46:11,213 --> 00:46:14,692
Speaker 2: you put money into and then maybe that you're that

907
00:46:14,733 --> 00:46:16,613
Speaker 2: your shoes can go that What I meant was an ETF,

908
00:46:17,293 --> 00:46:20,253
Speaker 2: which is an exchange traded fund, right, right, so that

909
00:46:20,493 --> 00:46:24,293
Speaker 2: as opposed to it ETS, which is an exchange traded security. Okay, right,

910
00:46:24,453 --> 00:46:26,413
Speaker 2: So what I was talking about was which is basically

911
00:46:26,573 --> 00:46:29,733
Speaker 2: a basket of assets and ETF so you get a

912
00:46:29,773 --> 00:46:32,933
Speaker 2: sort of a collection. And so yeah, so what's the

913
00:46:32,933 --> 00:46:35,293
Speaker 2: best way to describe it. It's it's it holds a

914
00:46:35,333 --> 00:46:39,573
Speaker 2: basket of various investments. Now, like you know, so she

915
00:46:39,693 --> 00:46:43,613
Speaker 2: might get an ETS that's based on the forts five hundred.

916
00:46:43,453 --> 00:46:45,933
Speaker 3: Or something, right, and it's already diversified, so it reduces

917
00:46:45,933 --> 00:46:47,133
Speaker 3: the risk, yes, yeah.

918
00:46:47,013 --> 00:46:50,133
Speaker 2: Yeah, yes, as opposed to putting your money, say into

919
00:46:50,173 --> 00:46:52,853
Speaker 2: Tesla or Apple or or or whatever.

920
00:46:53,373 --> 00:46:54,933
Speaker 3: And multiple baskets yeah yeah yeah.

921
00:46:55,013 --> 00:46:59,013
Speaker 2: And and over time, I believe you can expect you know,

922
00:46:59,053 --> 00:47:00,853
Speaker 2: and it's you can have ones that are active or

923
00:47:00,893 --> 00:47:01,373
Speaker 2: not active.

924
00:47:01,453 --> 00:47:01,613
Speaker 3: Right.

925
00:47:01,613 --> 00:47:03,732
Speaker 2: So there's ones where someone's running it and they're trying

926
00:47:03,773 --> 00:47:06,053
Speaker 2: to make sure that that earns the money, and there's

927
00:47:06,093 --> 00:47:08,573
Speaker 2: ones that are just standard diversified and they just sit there.

928
00:47:08,613 --> 00:47:12,733
Speaker 3: And over time, the hop is that will go up

929
00:47:12,893 --> 00:47:13,652
Speaker 3: as opposed to.

930
00:47:13,573 --> 00:47:15,893
Speaker 2: Someone who's looking at a million screens and trying to

931
00:47:15,893 --> 00:47:17,613
Speaker 2: buy a whole lot of stuff on your fund.

932
00:47:17,813 --> 00:47:19,853
Speaker 3: Easier way to do it as well. Oh, one hundred

933
00:47:19,893 --> 00:47:22,493
Speaker 3: and eighty ten to eighty. If you are using Cheersy's

934
00:47:22,693 --> 00:47:25,133
Speaker 3: or platforms like it, how's it gone for you? Is

935
00:47:25,133 --> 00:47:27,373
Speaker 3: it helping you get smarter with money? Or is it

936
00:47:27,373 --> 00:47:30,853
Speaker 3: becoming a bit too casual? And Marie, welcome to the show.

937
00:47:30,973 --> 00:47:34,293
Speaker 11: Get it hi, guys, how are you very good? I'm

938
00:47:34,293 --> 00:47:38,533
Speaker 11: so pleased you're talking about this because about April this year,

939
00:47:38,773 --> 00:47:42,652
Speaker 11: my eighteen year old son was talking about Chezys, etc.

940
00:47:43,173 --> 00:47:45,733
Speaker 11: And I must have had a I don't know what

941
00:47:45,773 --> 00:47:48,093
Speaker 11: I do, but I just react and I went to

942
00:47:48,133 --> 00:47:51,652
Speaker 11: my bank with true all my savings, which was quite

943
00:47:51,653 --> 00:47:55,253
Speaker 11: a bit, and you get the old drama, why are

944
00:47:55,253 --> 00:47:56,893
Speaker 11: you taking it out? And I said, well, that's not

945
00:47:56,933 --> 00:47:59,413
Speaker 11: your business, that's mine. So anyway, I took it out

946
00:47:59,493 --> 00:48:01,413
Speaker 11: put it on cheers E's. But I've done a lot

947
00:48:01,413 --> 00:48:03,893
Speaker 11: of studying. People have got to get onto the cheers

948
00:48:04,093 --> 00:48:07,013
Speaker 11: and then go through the business and you can actually

949
00:48:07,333 --> 00:48:09,093
Speaker 11: work out how many, what they do.

950
00:48:09,053 --> 00:48:09,733
Speaker 15: All the rest of it.

951
00:48:09,813 --> 00:48:14,173
Speaker 11: So I did that and my god, I have doubled

952
00:48:14,213 --> 00:48:19,453
Speaker 11: my money in four months, which is absolutely over the top.

953
00:48:19,653 --> 00:48:23,172
Speaker 11: My main my main person that I backed was an

954
00:48:23,213 --> 00:48:25,053
Speaker 11: inmbercargo boy called Peter Beck.

955
00:48:26,053 --> 00:48:27,373
Speaker 3: That's done pretty well.

956
00:48:27,573 --> 00:48:29,893
Speaker 11: You know, some of the best things that come out

957
00:48:29,893 --> 00:48:32,692
Speaker 11: of South and we are always just you know, yeah, yeah,

958
00:48:32,693 --> 00:48:37,253
Speaker 11: we do this bloody amazing, what a great business. And

959
00:48:38,293 --> 00:48:40,933
Speaker 11: I'm just suggesting any person with a bit of cash

960
00:48:40,973 --> 00:48:43,212
Speaker 11: maybe put it. You know, I get in here. It's

961
00:48:43,693 --> 00:48:47,093
Speaker 11: you have doubled my money. And I also studied the

962
00:48:47,573 --> 00:48:50,653
Speaker 11: gold and Silver. I got that when it was down.

963
00:48:51,653 --> 00:48:53,812
Speaker 11: It's the whole world. What's going on with the world

964
00:48:53,813 --> 00:48:55,733
Speaker 11: at the moment I've been in New Zealand, believe it

965
00:48:55,813 --> 00:48:58,453
Speaker 11: or not, we're actually not going back bad Compared to

966
00:48:58,613 --> 00:49:01,533
Speaker 11: most of the countries in the world they are bankrupt.

967
00:49:02,533 --> 00:49:07,013
Speaker 11: Money means nothing. It's just paper. But if you invest right,

968
00:49:07,613 --> 00:49:10,692
Speaker 11: and and if I can do it, anybody can do it.

969
00:49:11,213 --> 00:49:13,533
Speaker 11: And it's even like you know that the Kiwi Savor

970
00:49:14,133 --> 00:49:16,773
Speaker 11: Kiwi Savor I was on high risk for years like

971
00:49:16,853 --> 00:49:22,653
Speaker 11: probably most others in their fifties sixties, and like changed

972
00:49:22,693 --> 00:49:26,053
Speaker 11: it to shares these and you're actually getting your money

973
00:49:26,053 --> 00:49:28,053
Speaker 11: that you've put in like, if you're high risk, you

974
00:49:28,093 --> 00:49:30,773
Speaker 11: can make some seriously cool money. So whereas if you

975
00:49:30,773 --> 00:49:33,533
Speaker 11: were amp, I was only getting five percent a year.

976
00:49:33,613 --> 00:49:35,213
Speaker 11: I don't know where all my profit went to, but

977
00:49:35,333 --> 00:49:36,013
Speaker 11: it didn't go to me.

978
00:49:36,333 --> 00:49:39,333
Speaker 2: So you've jumped in there in April this year? Did

979
00:49:39,373 --> 00:49:40,733
Speaker 2: you say, Emery.

980
00:49:40,453 --> 00:49:41,293
Speaker 11: In April this year?

981
00:49:42,293 --> 00:49:45,893
Speaker 3: Have you have you considered that you might have been lucky?

982
00:49:46,973 --> 00:49:49,053
Speaker 7: No, because I studied what was going on.

983
00:49:49,093 --> 00:49:50,652
Speaker 11: You've got to know what's going on in the world,

984
00:49:50,693 --> 00:49:52,652
Speaker 11: and you've got to know what's going So for me

985
00:49:53,733 --> 00:50:01,093
Speaker 11: was space, space AI and men with the gold and silver?

986
00:50:01,253 --> 00:50:03,093
Speaker 3: Did you get into video? Did you get into in

987
00:50:03,173 --> 00:50:03,853
Speaker 3: video earlier?

988
00:50:03,973 --> 00:50:04,813
Speaker 5: Early? No?

989
00:50:04,893 --> 00:50:06,692
Speaker 11: I did, and I left them because I didn't know.

990
00:50:06,813 --> 00:50:09,053
Speaker 11: I didn't know much about them. I mean, so I'm

991
00:50:09,093 --> 00:50:10,573
Speaker 11: going with the ones that I know. But gold and

992
00:50:10,573 --> 00:50:14,933
Speaker 11: silver is really, really, really important because all countries in

993
00:50:14,973 --> 00:50:18,013
Speaker 11: the world are buying gold and silver at the moments

994
00:50:18,013 --> 00:50:20,652
Speaker 11: of the banks because money is nothing without it being

995
00:50:20,693 --> 00:50:24,253
Speaker 11: gold backed, which the Americans took off in the seventies.

996
00:50:24,293 --> 00:50:26,893
Speaker 11: That's why it's a cluster. You can print money like

997
00:50:26,933 --> 00:50:29,093
Speaker 11: it's going out, so like what I do, arned it.

998
00:50:29,213 --> 00:50:32,573
Speaker 11: They printed and printed us out of a recession, you know, recession,

999
00:50:33,333 --> 00:50:34,453
Speaker 11: and now we are.

1000
00:50:34,533 --> 00:50:39,213
Speaker 3: Full Oh just lost you re Oh oh you just

1001
00:50:39,253 --> 00:50:41,652
Speaker 3: cut out there. Sorry pickbacker, Sorry, that's right.

1002
00:50:41,773 --> 00:50:45,573
Speaker 11: Sorry. So gold and silver, if you can't afford gold

1003
00:50:45,573 --> 00:50:48,693
Speaker 11: and silver, then on the stock markets you go into

1004
00:50:48,773 --> 00:50:55,093
Speaker 11: the major players that are miners, the mining companies. So yeah,

1005
00:50:55,173 --> 00:50:56,933
Speaker 11: it's just going to go through the roof. So that's

1006
00:50:56,933 --> 00:50:59,933
Speaker 11: just my experience. If I can double my money, which

1007
00:50:59,973 --> 00:51:03,093
Speaker 11: is a lot at the moment in my bank account,

1008
00:51:04,293 --> 00:51:06,653
Speaker 11: anybody can do it. It doesn't matter if you're poor,

1009
00:51:06,693 --> 00:51:10,413
Speaker 11: even if you put your twenty bucks or thirty or

1010
00:51:10,413 --> 00:51:12,253
Speaker 11: forty dollars, you know what I mean, whatever you can

1011
00:51:12,293 --> 00:51:16,453
Speaker 11: afford it. It's amazing. Like I woke up this morning,

1012
00:51:16,453 --> 00:51:19,013
Speaker 11: I made three grand over night. Every night I wake

1013
00:51:19,093 --> 00:51:21,733
Speaker 11: up at the moment. I don't now.

1014
00:51:23,413 --> 00:51:25,692
Speaker 3: Got on your memory. But you say everyone can do it.

1015
00:51:25,733 --> 00:51:29,853
Speaker 2: But you know hemory that this is a story that

1016
00:51:29,853 --> 00:51:33,373
Speaker 2: that people tell a lot. So you initially have some

1017
00:51:33,413 --> 00:51:38,133
Speaker 2: great success and then a crash happens or maybe you

1018
00:51:38,173 --> 00:51:38,893
Speaker 2: don't get something.

1019
00:51:38,973 --> 00:51:39,293
Speaker 11: Crash.

1020
00:51:39,493 --> 00:51:40,413
Speaker 5: What's that you never sell?

1021
00:51:40,733 --> 00:51:43,413
Speaker 11: You never sell in the crash? Yeah, I'm always told

1022
00:51:43,493 --> 00:51:45,053
Speaker 11: you never fell in the crash.

1023
00:51:45,093 --> 00:51:47,893
Speaker 2: Can we check back in with you in six months,

1024
00:51:48,533 --> 00:51:52,253
Speaker 2: Mari and see how you're going, because you know, maybe

1025
00:51:52,333 --> 00:51:55,013
Speaker 2: you've completely cracked the code and they need to get

1026
00:51:55,013 --> 00:51:57,893
Speaker 2: you on Wall Street in charge of a massive hedge fund.

1027
00:51:57,973 --> 00:52:00,333
Speaker 3: Yeah, get your consulting and Maria, Yeah, people pay good

1028
00:52:00,373 --> 00:52:01,893
Speaker 3: money for that. Thank you so much for your course.

1029
00:52:02,093 --> 00:52:04,413
Speaker 3: It is twenty one past two. But taking your calls

1030
00:52:04,453 --> 00:52:05,973
Speaker 3: O eight one hundred and eighty ten eighty have you

1031
00:52:06,093 --> 00:52:09,413
Speaker 3: jumped on an app like cheery? How's it gone for you?

1032
00:52:09,693 --> 00:52:11,493
Speaker 3: And are you starting to get back into the shed

1033
00:52:11,533 --> 00:52:13,853
Speaker 3: market rather than property and some of those other things

1034
00:52:13,893 --> 00:52:16,893
Speaker 3: we traditionally invest in to build our wealth. Love to

1035
00:52:16,933 --> 00:52:19,893
Speaker 3: hear from you. It is twenty one plus two, Tiles.

1036
00:52:20,133 --> 00:52:22,013
Speaker 2: Did you know that up to seventeen percent of New

1037
00:52:22,093 --> 00:52:25,533
Speaker 2: Zealand's greenhouse gas emissions come from transport, So going electric

1038
00:52:25,693 --> 00:52:28,613
Speaker 2: is one promising method of moving to a lower carbon

1039
00:52:28,653 --> 00:52:29,693
Speaker 2: future in New Zealand.

1040
00:52:29,773 --> 00:52:32,773
Speaker 3: That is a fun fact. And with a GENISSV plan

1041
00:52:32,973 --> 00:52:36,252
Speaker 3: you can get fifty percent off your variable day rate

1042
00:52:36,293 --> 00:52:40,053
Speaker 3: between nine pm and seven am. How good charge your EV,

1043
00:52:40,213 --> 00:52:42,613
Speaker 3: crank the heating up, run the dryer, all at a

1044
00:52:42,693 --> 00:52:44,453
Speaker 3: reduce rate and get this, Tiles.

1045
00:52:44,813 --> 00:52:49,093
Speaker 2: Genis Genesis Energy has partnered with New Zealand's largest EV

1046
00:52:49,293 --> 00:52:52,773
Speaker 2: charging network, charge Net, so going on the road doesn't.

1047
00:52:52,493 --> 00:52:55,213
Speaker 3: Need to make your nervous Wow. That is great news.

1048
00:52:55,253 --> 00:52:58,013
Speaker 3: And Genesis customers can charge at one of charge nets

1049
00:52:58,053 --> 00:53:00,693
Speaker 3: four hundred points across New Zealand and Paylight. They are

1050
00:53:00,733 --> 00:53:02,253
Speaker 3: at home through the Genesis.

1051
00:53:01,893 --> 00:53:07,173
Speaker 2: Bill and Genesis supports future thinking EV owners across our tiodor.

1052
00:53:06,973 --> 00:53:09,133
Speaker 3: So for more info, all you got to do here

1053
00:53:09,213 --> 00:53:12,692
Speaker 3: to Genesis Energy dot co dot nzed forward slash ev

1054
00:53:12,853 --> 00:53:16,692
Speaker 3: that's Genesis Energy dot co dot nzed forward slash.

1055
00:53:16,333 --> 00:53:20,013
Speaker 2: Ev, t's and c's and eligibility criteria apply.

1056
00:53:24,133 --> 00:53:27,853
Speaker 1: Matt Heathan Tyler Adams afternoons call oh eight hundred eighty

1057
00:53:27,893 --> 00:53:29,733
Speaker 1: ten eighty on used Talk ZB.

1058
00:53:29,653 --> 00:53:32,692
Speaker 3: Twenty five PAS two. We're talking about platforms like cheers EA's.

1059
00:53:32,813 --> 00:53:35,333
Speaker 3: They are about to launch a new product. It's a

1060
00:53:35,333 --> 00:53:38,933
Speaker 3: debit MasterCard that allows you to get one percent back

1061
00:53:39,293 --> 00:53:43,093
Speaker 3: on whatever you spin that goes automatically into your Chearesy's portfolio.

1062
00:53:43,333 --> 00:53:46,093
Speaker 3: But on the broader topic about Cheery's and investing, are

1063
00:53:46,093 --> 00:53:47,493
Speaker 3: you on this train? I love to hear from you.

1064
00:53:47,893 --> 00:53:50,133
Speaker 2: The sex has said, I'm worried about Anne Marie. There's

1065
00:53:50,213 --> 00:53:53,573
Speaker 2: nothing worse than someone who thinks they know about investing

1066
00:53:53,573 --> 00:53:56,333
Speaker 2: and have no idea about financial financial markets and how

1067
00:53:56,413 --> 00:54:00,093
Speaker 2: direct investments can crash. Diversity, balance and a long term

1068
00:54:00,093 --> 00:54:04,652
Speaker 2: investment horizon are key not flavors of the moment. I mean,

1069
00:54:04,733 --> 00:54:07,133
Speaker 2: there's that famous we were talking about this morning before

1070
00:54:07,173 --> 00:54:10,013
Speaker 2: the show, weren't we, Tyler, That famous two thousand and

1071
00:54:10,013 --> 00:54:13,893
Speaker 2: eight Warren Buffett bet against the hedge fund industry.

1072
00:54:14,053 --> 00:54:15,933
Speaker 3: Yes, that's right, So.

1073
00:54:19,133 --> 00:54:20,692
Speaker 2: You explained it because you explained it to me better

1074
00:54:20,693 --> 00:54:21,493
Speaker 2: than I can explain it.

1075
00:54:21,533 --> 00:54:24,093
Speaker 3: Well, he effectively offered up a million dollars to any

1076
00:54:24,213 --> 00:54:28,853
Speaker 3: hedge fund manager, individual or company that could beat an

1077
00:54:28,893 --> 00:54:31,653
Speaker 3: ETF fund over the course of ten years, and nobody

1078
00:54:31,733 --> 00:54:33,933
Speaker 3: took up that bet of a million dollars. So huge

1079
00:54:33,973 --> 00:54:36,573
Speaker 3: fund managers always say they can beat the market, and

1080
00:54:36,613 --> 00:54:39,893
Speaker 3: Warren Buffett's bet was you cannot beat the market. And

1081
00:54:40,293 --> 00:54:43,093
Speaker 3: he appears to be right because nobody took up that money.

1082
00:54:43,413 --> 00:54:44,973
Speaker 3: And he was a smart man, and I think he

1083
00:54:45,453 --> 00:54:47,853
Speaker 3: made most of his fortune. He is arguably one of

1084
00:54:47,893 --> 00:54:49,853
Speaker 3: the well not arguably, he is one of the richest

1085
00:54:49,853 --> 00:54:52,093
Speaker 3: people in the world, and that was a big part

1086
00:54:52,133 --> 00:54:53,093
Speaker 3: of his strategy.

1087
00:54:52,773 --> 00:54:57,373
Speaker 2: Right, Yeah, absolutely, because you can have. It's like you know,

1088
00:54:57,413 --> 00:55:00,933
Speaker 2: and it's not quite like the casino, because there is

1089
00:55:01,013 --> 00:55:03,333
Speaker 2: information you can get in it's you know, you can

1090
00:55:03,373 --> 00:55:05,853
Speaker 2: read and you can see things, you get trends, and

1091
00:55:06,453 --> 00:55:09,973
Speaker 2: obviously you can be informed on on the situation. But

1092
00:55:10,173 --> 00:55:12,533
Speaker 2: there is a high and I've experienced it when you

1093
00:55:12,533 --> 00:55:14,533
Speaker 2: get a few things right and you get this feeling

1094
00:55:14,573 --> 00:55:17,613
Speaker 2: of invincibility. And I ran that high for a while

1095
00:55:17,973 --> 00:55:21,212
Speaker 2: and then I just moved everything into ETFs smart man.

1096
00:55:21,373 --> 00:55:24,493
Speaker 3: I mean, it's a hell of a high. It is enjoyable. Tim,

1097
00:55:24,533 --> 00:55:26,333
Speaker 3: how are you hey?

1098
00:55:26,493 --> 00:55:26,692
Speaker 11: Good?

1099
00:55:26,693 --> 00:55:29,093
Speaker 16: Thanks guys, How are you guys?

1100
00:55:29,333 --> 00:55:31,773
Speaker 3: We're really good? Really good? Are you into Cheesy's?

1101
00:55:34,373 --> 00:55:37,732
Speaker 16: I actually I went with Hatch's similar, but I think

1102
00:55:38,253 --> 00:55:43,573
Speaker 16: Chas make a decent clip off exchange rate rather than

1103
00:55:43,773 --> 00:55:47,333
Speaker 16: what that's slight like fifty basis points, rather than Hatch

1104
00:55:47,413 --> 00:55:51,533
Speaker 16: which was slightly less, but not a patch for Hatch

1105
00:55:51,693 --> 00:55:52,093
Speaker 16: or anything.

1106
00:55:52,133 --> 00:55:52,893
Speaker 4: I'm just sort of.

1107
00:55:53,373 --> 00:55:58,413
Speaker 16: Talking generally about those platforms. I think I think they're good,

1108
00:55:58,813 --> 00:56:00,813
Speaker 16: and I think you guys probably have a bit of

1109
00:56:00,853 --> 00:56:04,013
Speaker 16: that soundbake and Marie is a little on that high

1110
00:56:04,053 --> 00:56:08,853
Speaker 16: where maybe you know, it's a bit the cautionary tail.

1111
00:56:08,973 --> 00:56:12,013
Speaker 16: I think you've said, which is you know, that's kind

1112
00:56:12,053 --> 00:56:15,653
Speaker 16: of really where things get a little bit bubbly.

1113
00:56:16,253 --> 00:56:17,773
Speaker 1: But yeah, my.

1114
00:56:18,133 --> 00:56:21,493
Speaker 16: Viewers, it's the had good platforms, but they do encourage

1115
00:56:21,973 --> 00:56:25,652
Speaker 16: people who possibly don't know as much or think that

1116
00:56:25,733 --> 00:56:28,533
Speaker 16: they know more than they do, to go punt on

1117
00:56:28,653 --> 00:56:31,813
Speaker 16: different things. I was talking with my partner this morning

1118
00:56:31,813 --> 00:56:35,573
Speaker 16: who was looking at a chasies invested in something and

1119
00:56:36,333 --> 00:56:41,173
Speaker 16: it was AI company and basically that's all she knew,

1120
00:56:41,413 --> 00:56:43,253
Speaker 16: which it was. I was like, well, what do they do?

1121
00:56:43,533 --> 00:56:46,893
Speaker 16: And it was I think they designed chips or something.

1122
00:56:46,973 --> 00:56:49,853
Speaker 16: And it was like, well, you're going to have that

1123
00:56:50,053 --> 00:56:53,373
Speaker 16: random stock sitting there and you're just going to watch

1124
00:56:53,373 --> 00:56:57,173
Speaker 16: it go up and down and not know really what's happening.

1125
00:56:58,413 --> 00:57:02,252
Speaker 16: I myself have kind of like I'd like, it's very

1126
00:57:02,293 --> 00:57:09,453
Speaker 16: hard to have a collection of single stocks and track them.

1127
00:57:09,453 --> 00:57:12,853
Speaker 2: Oh, we just lost your Tim, you mean you're taking

1128
00:57:12,893 --> 00:57:14,413
Speaker 2: out by big AI stocks?

1129
00:57:14,413 --> 00:57:15,293
Speaker 3: Sorry you were cut out.

1130
00:57:15,333 --> 00:57:18,813
Speaker 2: I think the the runners of a particular AI stock

1131
00:57:18,893 --> 00:57:20,413
Speaker 2: heard you sort of running it down a little bit

1132
00:57:20,413 --> 00:57:22,573
Speaker 2: and tried to hack into the system and shut you down.

1133
00:57:22,613 --> 00:57:24,693
Speaker 3: But are you back with us? Tim?

1134
00:57:25,253 --> 00:57:26,093
Speaker 16: I am sorry?

1135
00:57:26,453 --> 00:57:26,653
Speaker 14: Yeah?

1136
00:57:26,733 --> 00:57:27,133
Speaker 11: How much?

1137
00:57:27,293 --> 00:57:27,653
Speaker 7: How much?

1138
00:57:28,213 --> 00:57:29,093
Speaker 16: How much was that cut?

1139
00:57:29,133 --> 00:57:32,213
Speaker 3: Out by you would.

1140
00:57:32,333 --> 00:57:35,173
Speaker 2: I think the last thing you said you were comparing

1141
00:57:35,493 --> 00:57:39,733
Speaker 2: the idea of individual stocks and tracking multiple individual stocks,

1142
00:57:39,733 --> 00:57:40,973
Speaker 2: and then you were going to go on to what

1143
00:57:41,053 --> 00:57:41,493
Speaker 2: you do.

1144
00:57:42,773 --> 00:57:46,933
Speaker 16: Yeah, so what I don't mind a couple of individual stocks,

1145
00:57:47,093 --> 00:57:50,333
Speaker 16: and I'm more of the And this is really where

1146
00:57:50,453 --> 00:57:53,613
Speaker 16: I think it's a little bit dangerous because I do

1147
00:57:55,373 --> 00:57:59,333
Speaker 16: not take the conventional advice. But if you do go

1148
00:57:59,573 --> 00:58:02,933
Speaker 16: for single stocks, you have to watch them very closely,

1149
00:58:03,053 --> 00:58:05,613
Speaker 16: and I think I'm more of a fan of that.

1150
00:58:05,773 --> 00:58:08,453
Speaker 16: There is probably one person who would have taken in

1151
00:58:08,493 --> 00:58:11,693
Speaker 16: buffets there and one that he's not interested, he's not

1152
00:58:11,733 --> 00:58:15,493
Speaker 16: really a showman is Stanley Drunken Miller, and he's hit

1153
00:58:15,573 --> 00:58:20,573
Speaker 16: his views, which is unconventional. If you want to pick stocks,

1154
00:58:20,893 --> 00:58:25,013
Speaker 16: you keep, you don't diversify. You have a small basket

1155
00:58:25,053 --> 00:58:29,853
Speaker 16: of eggs and you watch them very closely. And that's

1156
00:58:29,893 --> 00:58:32,413
Speaker 16: kind of what I like to do, and I don't

1157
00:58:32,693 --> 00:58:35,693
Speaker 16: One thing I've learned that is you have to hold

1158
00:58:35,733 --> 00:58:39,133
Speaker 16: it over time. You can't. You have to have conviction

1159
00:58:39,333 --> 00:58:42,733
Speaker 16: that say, Tesla's going to be a great company, and

1160
00:58:42,773 --> 00:58:44,733
Speaker 16: you have to hold it and hold it and ride

1161
00:58:44,813 --> 00:58:47,493
Speaker 16: it because you can't read. The one thing that I

1162
00:58:47,533 --> 00:58:51,333
Speaker 16: think he would agree with Buffett is that that that

1163
00:58:52,213 --> 00:58:55,173
Speaker 16: investing in May and taking all your what was at

1164
00:58:55,213 --> 00:58:57,813
Speaker 16: April with Anne Marie's up, taking all your money out

1165
00:58:57,813 --> 00:59:01,733
Speaker 16: of April and investing it in the market was a

1166
00:59:01,733 --> 00:59:05,533
Speaker 16: fantastic thing to do. But that that's kind of a

1167
00:59:05,733 --> 00:59:08,693
Speaker 16: very it's an old case.

1168
00:59:08,813 --> 00:59:10,453
Speaker 3: It's a small sample.

1169
00:59:11,093 --> 00:59:15,893
Speaker 16: Yeah, and so you can't really predict when things will change.

1170
00:59:16,133 --> 00:59:19,253
Speaker 16: But what you can have is like conviction through But

1171
00:59:19,413 --> 00:59:22,093
Speaker 16: then you have to be very careful about watching. Because

1172
00:59:22,093 --> 00:59:25,533
Speaker 16: what my partner was doing, which was buying some stock

1173
00:59:25,613 --> 00:59:27,813
Speaker 16: because she heard it was an AI and she's seen

1174
00:59:27,853 --> 00:59:32,253
Speaker 16: it's gone up something crazy, and I'm like, that's just nuts,

1175
00:59:32,293 --> 00:59:35,613
Speaker 16: Like you don't know anything about that company. Just put

1176
00:59:35,653 --> 00:59:38,013
Speaker 16: it in an ETF or even the natsack if you

1177
00:59:38,133 --> 00:59:41,813
Speaker 16: like tech. And then yeah, So I think that the

1178
00:59:41,933 --> 00:59:46,213
Speaker 16: problem is that CHERSI does give that kind of it

1179
00:59:46,253 --> 00:59:49,893
Speaker 16: does play a little bit into the gamification and I

1180
00:59:49,933 --> 00:59:53,733
Speaker 16: don't and for most people that's not the right thing

1181
00:59:53,813 --> 00:59:54,013
Speaker 16: to do.

1182
00:59:54,653 --> 00:59:56,933
Speaker 3: Yeah, I think if you're called him, yep, smart call,

1183
00:59:56,973 --> 01:00:00,013
Speaker 3: thank you very much. Right coming up after the headlines, though,

1184
01:00:00,213 --> 01:00:02,373
Speaker 3: it is very fun and that high that EMERI is

1185
01:00:02,413 --> 01:00:04,453
Speaker 3: on now we've been there, oh exactly, and Tim talking

1186
01:00:04,453 --> 01:00:06,293
Speaker 3: about his girlfriend. I mean that was me if I

1187
01:00:06,293 --> 01:00:08,293
Speaker 3: saw a company AI. So that's an ex big thing.

1188
01:00:08,413 --> 01:00:11,533
Speaker 3: Let's go all in and I lost a lot of money. Yeah.

1189
01:00:11,613 --> 01:00:11,813
Speaker 4: Yeah.

1190
01:00:11,893 --> 01:00:14,053
Speaker 2: You listen to one podcast someone says this is coming

1191
01:00:14,093 --> 01:00:15,453
Speaker 2: up and you're like everything.

1192
01:00:15,373 --> 01:00:17,973
Speaker 3: Let's everything, let's go put it all on black all right.

1193
01:00:18,013 --> 01:00:20,253
Speaker 3: Coming up after the headlines with Raylene, We're gonna have

1194
01:00:20,293 --> 01:00:23,733
Speaker 3: a chat to the general manager of Sheersy's Personal Scott Nixon.

1195
01:00:23,773 --> 01:00:26,333
Speaker 3: David chat about this new debit card, but also the

1196
01:00:26,933 --> 01:00:30,173
Speaker 3: broader uptake of platforms like his. That is coming up next.

1197
01:00:30,173 --> 01:00:31,533
Speaker 3: It is twenty eight to three.

1198
01:00:33,573 --> 01:00:34,213
Speaker 1: News Talks.

1199
01:00:34,253 --> 01:00:37,933
Speaker 12: It'd be headlines with Blue Bubble Taxi. It's no trouble

1200
01:00:37,973 --> 01:00:40,653
Speaker 12: with the Blue Bubble. Hopes are high in the Mideast

1201
01:00:40,973 --> 01:00:44,333
Speaker 12: after the US President has an ARTSD. Negotiations in Egypt

1202
01:00:44,413 --> 01:00:47,573
Speaker 12: have produced agreement on the first phase of a Gaza

1203
01:00:47,653 --> 01:00:51,653
Speaker 12: cease fire deal between Israel and Hummas. The deal includes

1204
01:00:51,733 --> 01:00:55,293
Speaker 12: releasing all hostages as soon as this week and Israel

1205
01:00:55,373 --> 01:00:59,133
Speaker 12: withdrawing troops from parts of Gaza Strip. A fifty four

1206
01:00:59,173 --> 01:01:02,133
Speaker 12: year old man faces multiple charges over a house fire

1207
01:01:02,613 --> 01:01:05,333
Speaker 12: in Auckland's Massy this morning, which put a person on

1208
01:01:05,413 --> 01:01:08,693
Speaker 12: hospital with dog bites and burns to the hands and feet.

1209
01:01:09,093 --> 01:01:12,813
Speaker 12: The man's accused of arson, producing meth injuring a police

1210
01:01:12,893 --> 01:01:17,493
Speaker 12: dog and resisting police. He'll have a bedside hearing. An

1211
01:01:17,533 --> 01:01:20,453
Speaker 12: eighth person has been arrested over a fifteen year old

1212
01:01:20,533 --> 01:01:23,933
Speaker 12: stabbing death in Napier in May, this time a seventeen

1213
01:01:23,973 --> 01:01:28,773
Speaker 12: year old charged with thefts and demands with menace. Treasury

1214
01:01:28,893 --> 01:01:32,933
Speaker 12: figures show government debts risen by billions, but is lower

1215
01:01:32,933 --> 01:01:36,493
Speaker 12: than predicted, reaching forty one point eight percent of GDP.

1216
01:01:37,453 --> 01:01:40,133
Speaker 12: The Mental Health Minister says the government won't be changing

1217
01:01:40,213 --> 01:01:44,533
Speaker 12: drug laws after the Drug Foundations warned criminalizing use has

1218
01:01:44,613 --> 01:01:48,613
Speaker 12: worsened the problem, but Matt Doocy agrees more money should

1219
01:01:48,653 --> 01:01:52,573
Speaker 12: go into harm reduction. Is the Reserve Bank gold plating

1220
01:01:52,613 --> 01:01:55,293
Speaker 12: its regulations. You can see the full column at ends

1221
01:01:55,293 --> 01:01:58,973
Speaker 12: at Herald Premium and now back to matt Ethan Tyner Adams.

1222
01:01:59,013 --> 01:02:01,453
Speaker 2: Thank you very much, Raillen twenty four to three. I

1223
01:02:01,453 --> 01:02:03,493
Speaker 2: thought this is really well put by Neil for and

1224
01:02:03,653 --> 01:02:06,333
Speaker 2: Marie Orang four. Fantastic call from her. What a great

1225
01:02:06,333 --> 01:02:08,093
Speaker 2: New Zealand she was. But she's been doing very well.

1226
01:02:08,133 --> 01:02:11,853
Speaker 2: On the stock market since April. But Neil puts it

1227
01:02:11,893 --> 01:02:14,493
Speaker 2: this way. Hey guys, Henry should take out fifty percent

1228
01:02:14,493 --> 01:02:16,613
Speaker 2: of her games, which is what she invested, and put

1229
01:02:16,653 --> 01:02:18,453
Speaker 2: it back in her bank. She can play with the

1230
01:02:18,493 --> 01:02:20,893
Speaker 2: rest in individual companies and good luck to her. But

1231
01:02:21,053 --> 01:02:23,893
Speaker 2: long term and eight percent return is good as good

1232
01:02:23,893 --> 01:02:26,893
Speaker 2: as it gets. If something sounds too good to be true.

1233
01:02:26,693 --> 01:02:29,693
Speaker 3: It is sound advice. Yeah, yeah, very good advice. If

1234
01:02:29,693 --> 01:02:31,133
Speaker 3: you're still listening to a Marie, we love.

1235
01:02:30,973 --> 01:02:32,693
Speaker 2: You because it was a great time to get in

1236
01:02:32,733 --> 01:02:33,213
Speaker 2: in April.

1237
01:02:33,293 --> 01:02:33,533
Speaker 3: Yep.

1238
01:02:34,213 --> 01:02:36,213
Speaker 2: But well that's why I'm such a huge fan of

1239
01:02:36,333 --> 01:02:39,653
Speaker 2: the I've been there now I'm all in on you know.

1240
01:02:39,733 --> 01:02:42,573
Speaker 3: All my cheeresys are in the ETF. Yeah, love it right.

1241
01:02:42,813 --> 01:02:44,693
Speaker 3: We have, of course been talking about Cheersy's on the

1242
01:02:44,693 --> 01:02:47,653
Speaker 3: back of the company just launching a debit master card

1243
01:02:47,693 --> 01:02:50,973
Speaker 3: that gives one percent of your spending back. Joining us

1244
01:02:51,013 --> 01:02:54,213
Speaker 3: now is general manager of Cheesy's Personal Scott nexton, Very

1245
01:02:54,253 --> 01:02:55,133
Speaker 3: good afternoon, Scott.

1246
01:02:56,173 --> 01:02:57,693
Speaker 17: Hi, guys, good afternoon to you too.

1247
01:02:57,973 --> 01:03:01,133
Speaker 2: How does this new debit card work, This new master

1248
01:03:01,213 --> 01:03:03,933
Speaker 2: card Cheersy's collab work.

1249
01:03:05,453 --> 01:03:07,773
Speaker 17: Yeah, so it's so as you said, it's a it's

1250
01:03:07,773 --> 01:03:10,053
Speaker 17: a master so you can use it like you do

1251
01:03:10,213 --> 01:03:12,973
Speaker 17: any other MasterCard, so it's accepted all.

1252
01:03:12,813 --> 01:03:13,373
Speaker 3: Over the world.

1253
01:03:13,933 --> 01:03:17,773
Speaker 17: What happens is, as you are spending, we are clocking

1254
01:03:17,853 --> 01:03:20,533
Speaker 17: up in the background what one percent of that total

1255
01:03:20,533 --> 01:03:24,173
Speaker 17: spend amount is, and then each week we will invest

1256
01:03:24,173 --> 01:03:25,053
Speaker 17: that on your path.

1257
01:03:26,293 --> 01:03:30,413
Speaker 2: So just to get this straight, so this is additional

1258
01:03:30,453 --> 01:03:33,373
Speaker 2: money or is it a percentage of your money being.

1259
01:03:33,213 --> 01:03:34,493
Speaker 3: Put into shares?

1260
01:03:34,653 --> 01:03:38,173
Speaker 2: This is this a rewards a one percent reward situation?

1261
01:03:38,973 --> 01:03:41,133
Speaker 17: Great question, yet, so this is a reward. So this

1262
01:03:41,173 --> 01:03:45,613
Speaker 17: is additional money. So if you spend one hundred dollars

1263
01:03:45,653 --> 01:03:48,893
Speaker 17: at the grocery store, then we are going to give

1264
01:03:48,933 --> 01:03:51,213
Speaker 17: you a dollar which we put into an investment.

1265
01:03:51,573 --> 01:03:54,693
Speaker 2: Wow, and so you would pick which particular investment you

1266
01:03:54,733 --> 01:03:57,373
Speaker 2: would you were going to channel that money into as

1267
01:03:57,413 --> 01:03:57,893
Speaker 2: a customer.

1268
01:03:57,973 --> 01:04:02,773
Speaker 17: Yeah, yeah, we're we are intending to be able to

1269
01:04:02,813 --> 01:04:05,853
Speaker 17: offer lots of choice in terms of what people can

1270
01:04:05,893 --> 01:04:08,133
Speaker 17: invest in. We're still in a sort of an early

1271
01:04:08,373 --> 01:04:12,733
Speaker 17: access phase for this product, so we've got some early

1272
01:04:13,933 --> 01:04:17,253
Speaker 17: beta users who are starting to accrue their invest back,

1273
01:04:18,173 --> 01:04:21,133
Speaker 17: and over time sort of the next month or two,

1274
01:04:21,213 --> 01:04:23,453
Speaker 17: we're intending to be able to give people choice for

1275
01:04:23,533 --> 01:04:24,973
Speaker 17: what they would like to invest in. I'm sure we

1276
01:04:25,013 --> 01:04:26,893
Speaker 17: get lots of feedback of what people would like to

1277
01:04:26,933 --> 01:04:31,573
Speaker 17: invest in, and we'll hopefully make more options available over time.

1278
01:04:32,053 --> 01:04:34,453
Speaker 2: And of course FOMO is a huge part of the

1279
01:04:34,493 --> 01:04:39,333
Speaker 2: financial system. So I understand that do you have a

1280
01:04:39,453 --> 01:04:41,853
Speaker 2: waiting list of thirty thousand? Did I read that somewhere

1281
01:04:41,893 --> 01:04:43,693
Speaker 2: that there's a huge waiting list to get one of

1282
01:04:43,693 --> 01:04:44,093
Speaker 2: these cards?

1283
01:04:44,173 --> 01:04:44,653
Speaker 3: Is that correct?

1284
01:04:45,533 --> 01:04:47,693
Speaker 17: Correct? Yep, it's actually about thirty two thousand.

1285
01:04:47,693 --> 01:04:50,053
Speaker 2: Now, okay, all right, right, some am I on that

1286
01:04:50,813 --> 01:04:56,773
Speaker 2: we can started talking about us. So just in the

1287
01:04:56,813 --> 01:04:59,973
Speaker 2: widest cheers these things, how did Cheersies go through the

1288
01:04:59,973 --> 01:05:03,733
Speaker 2: recent downtour? And I'm not talking about the actual stocks

1289
01:05:03,813 --> 01:05:07,453
Speaker 2: that you can investment on Cheers's, but as a company,

1290
01:05:07,773 --> 01:05:10,253
Speaker 2: as a fin company, how do you go through the

1291
01:05:10,333 --> 01:05:12,293
Speaker 2: ups and downs yourself?

1292
01:05:13,653 --> 01:05:16,733
Speaker 17: Yeah, I guess we're like any company. We're always reacting

1293
01:05:16,773 --> 01:05:22,693
Speaker 17: to the external environment. Actually, we've had a great few years,

1294
01:05:24,053 --> 01:05:27,373
Speaker 17: platforms growing really strongly. So we've put on over one

1295
01:05:27,413 --> 01:05:29,613
Speaker 17: hundred and fifty thousand customs in the last twelve months alone,

1296
01:05:30,693 --> 01:05:35,213
Speaker 17: and last quarter we traded sort of three point three billion,

1297
01:05:35,373 --> 01:05:38,813
Speaker 17: So yes, acknowledge it's been a tough time out there

1298
01:05:39,213 --> 01:05:42,213
Speaker 17: in the broad New Zealand economy. But actually we've seen

1299
01:05:42,293 --> 01:05:46,253
Speaker 17: quite a lot of success and that sort of you know,

1300
01:05:46,293 --> 01:05:49,333
Speaker 17: as we've seen the customer base continue to grow and

1301
01:05:49,893 --> 01:05:53,373
Speaker 17: you know, people making you know, wanting to do more

1302
01:05:53,373 --> 01:05:54,093
Speaker 17: investing with us.

1303
01:05:54,373 --> 01:05:57,813
Speaker 3: There's been a bit of criticism for international platforms that

1304
01:05:58,213 --> 01:06:00,613
Speaker 3: are similar robin Hood, and there's been a couple of others

1305
01:06:00,613 --> 01:06:04,773
Speaker 3: about the gamification of the shares market. Is that thought

1306
01:06:04,773 --> 01:06:07,813
Speaker 3: about within shareses is there? You know, you're pretty front

1307
01:06:07,853 --> 01:06:10,853
Speaker 3: loaded with information for people to digest when they get

1308
01:06:10,893 --> 01:06:13,533
Speaker 3: into it, because it's great that you've taken down the hurdles,

1309
01:06:13,533 --> 01:06:15,973
Speaker 3: but that other side of the equation, trying to get

1310
01:06:15,973 --> 01:06:19,533
Speaker 3: your users knowledgeable when educated about the financial markets. Is

1311
01:06:19,533 --> 01:06:22,253
Speaker 3: that a big part of it. Absolutely.

1312
01:06:22,333 --> 01:06:24,893
Speaker 17: I mean, I think I've been here sort of three

1313
01:06:24,933 --> 01:06:27,253
Speaker 17: and a half years, so you know, I can't take

1314
01:06:27,293 --> 01:06:28,853
Speaker 17: a huge amount of credit for all this. But the

1315
01:06:28,933 --> 01:06:32,013
Speaker 17: team when when they started up shares He's back eight

1316
01:06:32,093 --> 01:06:34,853
Speaker 17: years ago, you know, put a lot of thought and

1317
01:06:34,893 --> 01:06:40,573
Speaker 17: effort into education and the content around that, and I

1318
01:06:40,573 --> 01:06:43,853
Speaker 17: think that's really borne out by the behavior we see

1319
01:06:43,853 --> 01:06:48,213
Speaker 17: on the platform with people making you know, good regular

1320
01:06:48,813 --> 01:06:52,253
Speaker 17: taking a long term view of their investing, doing their research,

1321
01:06:53,053 --> 01:06:56,213
Speaker 17: and you know, we've got a significant amount of educational

1322
01:06:56,253 --> 01:06:59,373
Speaker 17: content that we offer to investors. So we've never really

1323
01:06:59,373 --> 01:07:03,453
Speaker 17: thought about it as game gamifying. Initially, we've thought about

1324
01:07:03,453 --> 01:07:05,293
Speaker 17: it as access. You know, people just felt sort of

1325
01:07:05,293 --> 01:07:08,533
Speaker 17: priced out, jargoned out of the market, very hard to access,

1326
01:07:09,333 --> 01:07:12,173
Speaker 17: and so you know, we've been able to remove many

1327
01:07:12,213 --> 01:07:14,893
Speaker 17: of those barriers and then alongside that educational content I

1328
01:07:14,893 --> 01:07:16,333
Speaker 17: think has been really hopeful for people.

1329
01:07:16,893 --> 01:07:21,293
Speaker 2: So you speak, you talk about access there. So the

1330
01:07:21,333 --> 01:07:25,013
Speaker 2: people that use Cheers's and there's I understand what over

1331
01:07:25,053 --> 01:07:28,693
Speaker 2: eight hundred and fifty thousand users of cheers E's eight

1332
01:07:28,813 --> 01:07:33,493
Speaker 2: hundred and eighty eight hundred and eighty thirty thousand, more

1333
01:07:33,533 --> 01:07:35,853
Speaker 2: than eight fifties. I'm not going to sell you short there.

1334
01:07:36,213 --> 01:07:38,253
Speaker 2: But do you think they were people that would have

1335
01:07:38,493 --> 01:07:42,213
Speaker 2: got into shares in a traditional way or do you

1336
01:07:42,293 --> 01:07:45,213
Speaker 2: think that that's opened up, you know, generally speaking, people

1337
01:07:45,213 --> 01:07:46,573
Speaker 2: that would never have got to shares.

1338
01:07:48,333 --> 01:07:51,173
Speaker 17: Look, I think it's both. But initially when we started,

1339
01:07:51,733 --> 01:07:53,973
Speaker 17: I think, you know, our founders will talk about the

1340
01:07:54,013 --> 01:07:56,213
Speaker 17: fact that they went to you know, they went around

1341
01:07:56,253 --> 01:07:59,453
Speaker 17: the country talking to people and they would go into

1342
01:07:59,533 --> 01:08:00,973
Speaker 17: rooms and ask people to put up their hand if

1343
01:08:00,973 --> 01:08:03,733
Speaker 17: they consider themselves investors, and hardly anyone would put their

1344
01:08:03,733 --> 01:08:06,253
Speaker 17: hand up now when they speak at conferences and things

1345
01:08:06,293 --> 01:08:08,173
Speaker 17: that ask the same question, and most of the room

1346
01:08:08,413 --> 01:08:12,413
Speaker 17: their hand up. So definitely it has opened up investing

1347
01:08:12,613 --> 01:08:15,573
Speaker 17: to a whole new generation of people. But equally, as

1348
01:08:15,613 --> 01:08:18,053
Speaker 17: our platform has grown, as we've added more products and

1349
01:08:18,093 --> 01:08:20,933
Speaker 17: services and features, you know, we're definitely seeing more people

1350
01:08:20,973 --> 01:08:25,452
Speaker 17: switching their their portfolios into chairs. E's so who were

1351
01:08:25,492 --> 01:08:28,213
Speaker 17: already investing, but now we'd like to do that through us.

1352
01:08:28,293 --> 01:08:30,293
Speaker 17: So it's definitely a mix of both of those groups.

1353
01:08:30,333 --> 01:08:34,772
Speaker 2: I think we're talking to Scott Nixon, general manager Chersi's personal.

1354
01:08:35,093 --> 01:08:36,933
Speaker 2: Will there ever be a situation where we get a

1355
01:08:37,013 --> 01:08:40,133
Speaker 2: Cheersy's inception moment with Cheersy's going public and cheers He's

1356
01:08:40,173 --> 01:08:47,093
Speaker 2: being on Cheers's.

1357
01:08:44,053 --> 01:08:46,612
Speaker 17: That's probably the questions. But above my pay grades, careful,

1358
01:08:49,093 --> 01:08:51,612
Speaker 17: I'll leave those kinds of ones for our executive officers

1359
01:08:52,333 --> 01:08:54,013
Speaker 17: to front, right.

1360
01:08:54,093 --> 01:08:57,013
Speaker 3: I love the inception reference though, Yeah, very good. And

1361
01:08:57,093 --> 01:08:58,852
Speaker 3: just finally, if people want to get on the waiting

1362
01:08:58,893 --> 01:09:02,093
Speaker 3: list for this new MasterCard product, how do they do that?

1363
01:09:03,492 --> 01:09:05,852
Speaker 17: Yeah, they can go to our website chearesas dot co

1364
01:09:05,933 --> 01:09:09,692
Speaker 17: dot nz. You can see spend there and there's there's

1365
01:09:10,053 --> 01:09:12,372
Speaker 17: you can check your email address and join the wait list.

1366
01:09:12,452 --> 01:09:14,732
Speaker 17: And we've got the team here working pretty hard. Try

1367
01:09:14,772 --> 01:09:16,532
Speaker 17: and get through that weight list as quickly as we can.

1368
01:09:16,652 --> 01:09:18,173
Speaker 3: If you've got a rolling ticker, what's it on? You

1369
01:09:18,213 --> 01:09:20,053
Speaker 3: said thirty two thousand? Can you see if it's gone

1370
01:09:20,133 --> 01:09:21,372
Speaker 3: up another another five hundred?

1371
01:09:22,013 --> 01:09:22,372
Speaker 18: Do you know?

1372
01:09:22,492 --> 01:09:25,333
Speaker 17: If you give me can you do three seconds of

1373
01:09:25,412 --> 01:09:26,973
Speaker 17: radio filler and I will.

1374
01:09:27,452 --> 01:09:31,772
Speaker 3: Add Yeah, that's ready to fillers. Basically Tyler's full time job.

1375
01:09:31,812 --> 01:09:35,892
Speaker 3: Go for it absolutely. Just while you're finding those numbers,

1376
01:09:35,933 --> 01:09:37,732
Speaker 3: there's plenty of tecks coming through. Actually, we've got a

1377
01:09:37,772 --> 01:09:41,372
Speaker 3: couple more questions for you just before we let you go, Scott.

1378
01:09:41,412 --> 01:09:43,053
Speaker 3: But you just yelling my year. As soon as you've

1379
01:09:43,053 --> 01:09:45,212
Speaker 3: found that updated number thirty three.

1380
01:09:45,053 --> 01:09:48,293
Speaker 17: Thousand and thirty seven, yeah, I can give.

1381
01:09:48,213 --> 01:09:48,973
Speaker 3: You there you go.

1382
01:09:49,093 --> 01:09:52,133
Speaker 2: It's good, all right, We went up a thousand, Great fella, Tyler, Yeah,

1383
01:09:52,173 --> 01:09:53,972
Speaker 2: thank I could hardly notice.

1384
01:09:54,093 --> 01:09:57,013
Speaker 3: It was terrible on my part, but see us. Yeah, Seedlers.

1385
01:09:57,093 --> 01:09:59,812
Speaker 3: But great to chat to you, mate, and congratulations on

1386
01:09:59,853 --> 01:10:01,572
Speaker 3: the product that sounds like it's going to go well.

1387
01:10:02,133 --> 01:10:03,452
Speaker 17: Thank you very much, appreciate your time.

1388
01:10:03,532 --> 01:10:06,452
Speaker 3: That is Scott next In general manager of Shearsy's Personal.

1389
01:10:06,692 --> 01:10:09,132
Speaker 3: We're taking more of your calls on you being Cheersy's

1390
01:10:09,812 --> 01:10:12,133
Speaker 3: the platform itself or getting into the shear market. Love

1391
01:10:12,173 --> 01:10:14,093
Speaker 3: to hear your stories. I eight hundred eighty ten eighty

1392
01:10:14,093 --> 01:10:14,813
Speaker 3: is the numbered.

1393
01:10:14,572 --> 01:10:18,732
Speaker 1: Call Matt Heath Taylor Adams with you as your afternoon

1394
01:10:18,853 --> 01:10:22,612
Speaker 1: rolls on Matt Heathen Taylor Adams Afternoons news talks.

1395
01:10:22,612 --> 01:10:25,012
Speaker 3: I'd be for a good afternoons you. We're talking about

1396
01:10:25,133 --> 01:10:28,213
Speaker 3: one hundreds of thousands of Kiwi's getting into the Sheer

1397
01:10:28,293 --> 01:10:30,692
Speaker 3: market with the likes of cheers E's and Hatch and

1398
01:10:30,853 --> 01:10:34,372
Speaker 3: Now and other fintech platforms. If that's you, how have

1399
01:10:34,452 --> 01:10:36,852
Speaker 3: you gone or have you stayed away? I waite hundred

1400
01:10:36,893 --> 01:10:39,892
Speaker 3: eighty ten eighty is the number to call. Plenty of

1401
01:10:39,893 --> 01:10:42,733
Speaker 3: texts coming through on nine two ninety two as well.

1402
01:10:43,492 --> 01:10:45,532
Speaker 2: The six is afternoon guys. My sheares helped me buy

1403
01:10:45,572 --> 01:10:47,852
Speaker 2: a house and I have a shear broker that looks

1404
01:10:47,893 --> 01:10:51,173
Speaker 2: after all my shares, right, So that's that's that's the

1405
01:10:51,213 --> 01:10:52,693
Speaker 2: other way to go through it. You get a shearbroker

1406
01:10:52,692 --> 01:10:54,772
Speaker 2: that you trust and they look after you shares, and

1407
01:10:54,812 --> 01:10:56,372
Speaker 2: it certainly worked out for this person.

1408
01:10:56,492 --> 01:10:56,692
Speaker 3: Yeah.

1409
01:10:56,732 --> 01:10:59,692
Speaker 2: Hi, guys, I've been trading shar trading for twenty years,

1410
01:10:59,692 --> 01:11:02,213
Speaker 2: and I would love you to book an appointment with

1411
01:11:02,333 --> 01:11:04,253
Speaker 2: Anne Marie in a few years when it's not easy.

1412
01:11:04,612 --> 01:11:08,013
Speaker 3: Yes, yeah, I eight hundred eighty ten eighty is the

1413
01:11:08,452 --> 01:11:09,172
Speaker 3: but to call.

1414
01:11:09,293 --> 01:11:12,732
Speaker 2: Our family use it. We also understand fundamentals and investment.

1415
01:11:13,013 --> 01:11:15,412
Speaker 2: We have returns as high as one hundred ten cents

1416
01:11:15,412 --> 01:11:18,572
Speaker 2: since first April twenty five. We use AI tools to

1417
01:11:18,612 --> 01:11:19,732
Speaker 2: determine what we invest in.

1418
01:11:19,812 --> 01:11:22,572
Speaker 3: One hundred and ten percent return that is.

1419
01:11:23,213 --> 01:11:27,173
Speaker 2: That is not as Neil said, eight percent returns over time,

1420
01:11:27,333 --> 01:11:30,932
Speaker 2: is anything more than that? Yeah, and it's gonna well,

1421
01:11:30,973 --> 01:11:31,972
Speaker 2: it's gonna even out.

1422
01:11:31,933 --> 01:11:34,412
Speaker 3: Yeah, exactly. Yeah, Rebecca, how are you?

1423
01:11:36,053 --> 01:11:36,213
Speaker 7: Hey?

1424
01:11:36,293 --> 01:11:37,772
Speaker 19: I'm can you hear me right?

1425
01:11:37,973 --> 01:11:38,133
Speaker 1: Yep?

1426
01:11:38,253 --> 01:11:39,412
Speaker 3: Got you loud and clear?

1427
01:11:40,492 --> 01:11:45,253
Speaker 20: Oh good, I'm driving. I was just wanting to phone and.

1428
01:11:45,372 --> 01:11:47,213
Speaker 14: Discouse of Maree.

1429
01:11:48,253 --> 01:11:49,692
Speaker 20: I was the most here.

1430
01:11:50,013 --> 01:11:52,772
Speaker 14: I see.

1431
01:11:54,013 --> 01:11:55,892
Speaker 3: I might have been a bit optimistic when I said

1432
01:11:55,933 --> 01:11:58,772
Speaker 3: loud and clear. I'm sorry, Rebecca. Hopefully if you drive

1433
01:11:58,812 --> 01:12:00,612
Speaker 3: and just speak up nice and clearly. So you wanted

1434
01:12:00,652 --> 01:12:01,812
Speaker 3: to respond to En Marie?

1435
01:12:03,692 --> 01:12:09,253
Speaker 20: Yeah, Aha, are you better.

1436
01:12:09,492 --> 01:12:17,333
Speaker 3: No, you count counting counter three one three? Oh, we

1437
01:12:17,372 --> 01:12:19,412
Speaker 3: can give another go.

1438
01:12:19,652 --> 01:12:20,452
Speaker 19: OK, that's better.

1439
01:12:21,532 --> 01:12:21,812
Speaker 11: Yeah.

1440
01:12:21,933 --> 01:12:26,253
Speaker 20: So I put when everything went down, I put some

1441
01:12:26,333 --> 01:12:30,092
Speaker 20: funds in though shares. These in April, I'm the same

1442
01:12:30,133 --> 01:12:34,532
Speaker 20: as her. I was sitting at fifty percent return now,

1443
01:12:34,612 --> 01:12:39,652
Speaker 20: so I have doubled my money. However, my I started

1444
01:12:39,692 --> 01:12:42,532
Speaker 20: investing for my two children at the end of last year,

1445
01:12:42,772 --> 01:12:43,653
Speaker 20: and that's sitting.

1446
01:12:43,372 --> 01:12:44,293
Speaker 10: At fifteen percent.

1447
01:12:45,253 --> 01:12:51,652
Speaker 20: So that's the difference with putting a whole paper when

1448
01:12:51,652 --> 01:12:56,412
Speaker 20: it's low and then seeing it right up. So definitely

1449
01:12:56,532 --> 01:13:01,293
Speaker 20: like the other text who text them before, staying lots

1450
01:13:01,372 --> 01:13:03,253
Speaker 20: more averages eight percent.

1451
01:13:03,572 --> 01:13:08,412
Speaker 2: So so do you think that you I mean, are

1452
01:13:08,452 --> 01:13:13,013
Speaker 2: you doing research and what you invest in, Rebecca? Is

1453
01:13:13,013 --> 01:13:17,293
Speaker 2: it something that you're checking day to day?

1454
01:13:17,372 --> 01:13:20,213
Speaker 20: I did when I started. So for myself. The ones

1455
01:13:20,213 --> 01:13:25,333
Speaker 20: that have gone up a lot, they are individual companies

1456
01:13:26,772 --> 01:13:30,932
Speaker 20: such as like Google and video, things like that.

1457
01:13:31,973 --> 01:13:34,132
Speaker 2: When did you get when did you get in Rebecca?

1458
01:13:34,173 --> 01:13:36,092
Speaker 2: When did you get on a video? Was that in April?

1459
01:13:37,572 --> 01:13:37,812
Speaker 3: No?

1460
01:13:37,853 --> 01:13:40,492
Speaker 20: Not so, not not in video, but Google was in

1461
01:13:40,532 --> 01:13:45,852
Speaker 20: April and fifty However, it's just gorocketed. But I know

1462
01:13:45,973 --> 01:13:49,333
Speaker 20: that's not normal. So I've seen the difference from when

1463
01:13:49,452 --> 01:13:51,852
Speaker 20: I started and missing for my two children at the

1464
01:13:51,893 --> 01:13:55,652
Speaker 20: end of the year when everything was very high. They

1465
01:13:55,732 --> 01:13:58,972
Speaker 20: weizarded the storm in April when everything plummeted. They went

1466
01:13:59,492 --> 01:14:02,893
Speaker 20: down to I think negative twenty percent at one point.

1467
01:14:03,652 --> 01:14:06,973
Speaker 20: Now they've only just back up to fifteen percent. Do

1468
01:14:07,013 --> 01:14:08,333
Speaker 20: you see it's the difference.

1469
01:14:08,853 --> 01:14:11,613
Speaker 2: So do you see your kids sitting in the stock market?

1470
01:14:12,013 --> 01:14:14,012
Speaker 2: You know, is it when is there on their twenty

1471
01:14:14,013 --> 01:14:16,492
Speaker 2: first birthday they cash out or do you see it

1472
01:14:16,532 --> 01:14:19,572
Speaker 2: as a as a you know, what's the timeframe you're

1473
01:14:19,572 --> 01:14:20,733
Speaker 2: looking at in your investments.

1474
01:14:21,933 --> 01:14:24,093
Speaker 20: Yeah, we'll flick over to them when they are their

1475
01:14:24,133 --> 01:14:27,133
Speaker 20: age whenever it is, like it legally flicks over into

1476
01:14:27,213 --> 01:14:32,852
Speaker 20: their name. Well, they have possession of it, but I'm

1477
01:14:32,893 --> 01:14:35,732
Speaker 20: continually trying to educate them on what it can do.

1478
01:14:36,253 --> 01:14:39,133
Speaker 20: So hopefully they will continue. Perhaps they might pull some

1479
01:14:39,293 --> 01:14:43,213
Speaker 20: out and do something with whether it's travel or buy

1480
01:14:43,293 --> 01:14:47,732
Speaker 20: a house or whatever, but hopefully they'll see the benefit

1481
01:14:47,772 --> 01:14:50,212
Speaker 20: of keeping some in there very long term.

1482
01:14:50,293 --> 01:14:52,293
Speaker 3: Yeah. I think there was a text of that alluded

1483
01:14:52,293 --> 01:14:54,053
Speaker 3: to this that you read out Matt from Neil, But

1484
01:14:54,213 --> 01:14:56,732
Speaker 3: it seems to me and clearly this is not financial advice,

1485
01:14:56,772 --> 01:14:59,652
Speaker 3: but when you're up fifty percent, Rebecca, it seems to

1486
01:14:59,652 --> 01:15:01,492
Speaker 3: be the smart thing to do is you take out

1487
01:15:01,492 --> 01:15:03,812
Speaker 3: the profit that you've made, you leave your initial investment

1488
01:15:03,893 --> 01:15:06,293
Speaker 3: in there, and that kind of protects you on that

1489
01:15:06,412 --> 01:15:10,133
Speaker 3: roller coaster element when it eventually comes back down to earth.

1490
01:15:10,213 --> 01:15:10,372
Speaker 5: Right.

1491
01:15:12,333 --> 01:15:13,372
Speaker 16: Yeah, I don't know.

1492
01:15:13,412 --> 01:15:16,652
Speaker 20: I kind of like, true enough, it wasn't a huge amount.

1493
01:15:17,133 --> 01:15:18,852
Speaker 20: It wasn't a huge amount, but I kind of put

1494
01:15:18,893 --> 01:15:20,972
Speaker 20: it in there, and I just watching it and seeing

1495
01:15:21,013 --> 01:15:21,532
Speaker 20: what it does.

1496
01:15:21,812 --> 01:15:24,973
Speaker 2: Would you ever consider and look, once again, Tyler and

1497
01:15:25,013 --> 01:15:29,253
Speaker 2: I idiots. Ye, so we're not giving any investment advice here,

1498
01:15:29,772 --> 01:15:32,412
Speaker 2: just just split balling, Rebecca, but would you ever consider

1499
01:15:32,532 --> 01:15:35,973
Speaker 2: moving some of your funds from these more sort of

1500
01:15:36,053 --> 01:15:40,812
Speaker 2: high risk individual high return, high risk into you know,

1501
01:15:40,893 --> 01:15:44,093
Speaker 2: something like an ETF and exchange traded.

1502
01:15:44,452 --> 01:15:48,573
Speaker 20: Also, I have so my children have a couple of etus,

1503
01:15:50,412 --> 01:15:53,213
Speaker 20: and I also have a managed fund which is separate

1504
01:15:53,253 --> 01:15:56,132
Speaker 20: to Shar's E's right, which is interesting because I started.

1505
01:15:56,893 --> 01:16:00,612
Speaker 20: I put some money into that in July last year,

1506
01:16:01,013 --> 01:16:04,333
Speaker 20: and that's sitting about ten percent, all right, but it's interesting.

1507
01:16:04,572 --> 01:16:06,772
Speaker 3: Yeah, a nice solid managed fund as well.

1508
01:16:07,652 --> 01:16:10,452
Speaker 2: Bailing away on the side there, all right, Hey, thank you,

1509
01:16:10,532 --> 01:16:13,013
Speaker 2: so much for you call Rebecca and congratulations on how

1510
01:16:13,133 --> 01:16:15,052
Speaker 2: much bitter the sound quality got.

1511
01:16:14,893 --> 01:16:15,452
Speaker 3: On your phone.

1512
01:16:15,973 --> 01:16:18,892
Speaker 2: You have to start, Yeah, sounded amazing by the end.

1513
01:16:19,532 --> 01:16:22,253
Speaker 3: Thank you very much. It is seven minutes to three

1514
01:16:22,253 --> 01:16:22,972
Speaker 3: beck in the month.

1515
01:16:23,853 --> 01:16:26,293
Speaker 1: The issues that affect you, and a bit of fun

1516
01:16:26,333 --> 01:16:30,133
Speaker 1: along the way. Matt Heath and Tyler Adams Afternoons news Talk.

1517
01:16:30,213 --> 01:16:33,732
Speaker 3: Sa'd be very good afternoon to you. Whole bunch of

1518
01:16:33,732 --> 01:16:36,372
Speaker 3: ticks coming through on the share market and platforms like

1519
01:16:36,492 --> 01:16:39,133
Speaker 3: Cheersy's and stockbroking. Is that right?

1520
01:16:39,333 --> 01:16:43,452
Speaker 2: Yes, stop broking, stock broking arm full time share trader.

1521
01:16:43,492 --> 01:16:46,092
Speaker 2: My average has been one hundred and seventy four percent

1522
01:16:46,173 --> 01:16:50,532
Speaker 2: per anim since twenty nineteen. That includes a flat year.

1523
01:16:50,732 --> 01:16:52,932
Speaker 2: My target has always been one hundred percent per annum.

1524
01:16:53,253 --> 01:16:57,133
Speaker 2: I also have borrowed funds in the share markets. But

1525
01:16:57,532 --> 01:16:59,973
Speaker 2: John John, John's.

1526
01:16:59,652 --> 01:17:02,213
Speaker 3: Right up there, he's cranking one hundred and seventy four percent.

1527
01:17:02,333 --> 01:17:04,732
Speaker 2: We'll hand your number over to a HDGE fund operator.

1528
01:17:04,732 --> 01:17:07,852
Speaker 2: They'll probably pay you a lot of money to run

1529
01:17:07,853 --> 01:17:08,333
Speaker 2: their operation.

1530
01:17:08,532 --> 01:17:10,732
Speaker 3: You wouldn't be short on clients, absolutely right. We've got

1531
01:17:10,772 --> 01:17:12,692
Speaker 3: full boards and so many techs. We're going to carry

1532
01:17:12,732 --> 01:17:15,812
Speaker 3: this on for a little bit after three a clock.

1533
01:17:16,692 --> 01:17:19,572
Speaker 3: Allen is also called in. He's a professional share trader,

1534
01:17:19,612 --> 01:17:21,732
Speaker 3: so we're gonna get him on after the news, and

1535
01:17:21,772 --> 01:17:24,133
Speaker 3: we've got plenty of questions for him as a professional

1536
01:17:24,173 --> 01:17:26,173
Speaker 3: share trader. But still keen to hear from you. Oh

1537
01:17:26,173 --> 01:17:28,133
Speaker 3: eight hundred and eighty ten eighty do you get into

1538
01:17:28,173 --> 01:17:30,532
Speaker 3: the share market? Really? Can you have a chat?

1539
01:17:30,612 --> 01:17:34,013
Speaker 2: And there's a couple of questions around Rebecca's maths. She

1540
01:17:34,093 --> 01:17:36,572
Speaker 2: says she's doubled her money a fifty percent increase. Now

1541
01:17:36,612 --> 01:17:37,572
Speaker 2: that's one hundred percent.

1542
01:17:37,652 --> 01:17:39,893
Speaker 3: Yeah, yeah, that is true. Yeah, but fifty percent is

1543
01:17:39,893 --> 01:17:41,892
Speaker 3: still pretty good for Rebecca. But she has been doing well. Yeah,

1544
01:17:41,933 --> 01:17:42,692
Speaker 3: she was very happy.

1545
01:17:42,853 --> 01:17:43,053
Speaker 21: Right.

1546
01:17:43,452 --> 01:17:46,692
Speaker 3: That is coming up after three o'clock. If you want

1547
01:17:46,732 --> 01:17:49,693
Speaker 3: to send a text, more than welcome. Nine to nine two.

1548
01:17:50,173 --> 01:17:52,532
Speaker 3: As we say, Alan the professional share trader coming up

1549
01:17:52,652 --> 01:17:55,173
Speaker 3: very shortly, but new sport and weather on its way.

1550
01:17:55,213 --> 01:17:57,093
Speaker 3: You're listening to matt and Tyler. Hope you're having a

1551
01:17:57,093 --> 01:18:00,652
Speaker 3: great Thursday after noon. Stay right here. We will be

1552
01:18:00,772 --> 01:18:10,052
Speaker 3: back very shortly.

1553
01:18:14,173 --> 01:18:18,452
Speaker 1: Your new home for insateful and entertaining talk. It's Mattie

1554
01:18:18,692 --> 01:18:22,533
Speaker 1: and Taylor Adams afternoons on news Talk Savvy.

1555
01:18:22,812 --> 01:18:24,972
Speaker 3: For a good afternoon to you. Welcome back into the show.

1556
01:18:25,053 --> 01:18:27,572
Speaker 3: Seven past three. So we've been talking about the share

1557
01:18:27,652 --> 01:18:30,932
Speaker 3: market and the growing number of kiwis getting into it

1558
01:18:31,213 --> 01:18:33,812
Speaker 3: via platforms like Cheers, He's or a Hatch or Now

1559
01:18:33,933 --> 01:18:37,173
Speaker 3: or a myriad of others. So we were bombarded by

1560
01:18:37,333 --> 01:18:38,492
Speaker 3: texts over the last hour.

1561
01:18:38,692 --> 01:18:41,612
Speaker 2: Yeah, and we were about to put a stockbroker on

1562
01:18:41,692 --> 01:18:43,612
Speaker 2: to chat, but he didn't want to anymore.

1563
01:18:43,692 --> 01:18:45,572
Speaker 3: He got cold feet. Yeah, and he's he was a

1564
01:18:45,572 --> 01:18:47,772
Speaker 3: busy man as well. Was he a busy man?

1565
01:18:48,133 --> 01:18:51,372
Speaker 2: You're having a robust conversation with him walking around the

1566
01:18:51,372 --> 01:18:53,012
Speaker 2: studio there, Tyler on your cell phone.

1567
01:18:53,013 --> 01:18:56,093
Speaker 3: It was intense, Wasn't it very intense? But maybe we'll

1568
01:18:56,093 --> 01:18:57,932
Speaker 3: get him back on another day. He just had to ever

1569
01:18:57,933 --> 01:19:00,452
Speaker 3: think about it. But we had so many texts coming through.

1570
01:19:00,973 --> 01:19:03,452
Speaker 2: Hey, don't forget the importance of having the right key.

1571
01:19:03,532 --> 01:19:06,572
Speaker 2: We save a fund active says this text. I normally

1572
01:19:06,652 --> 01:19:09,012
Speaker 2: have the high growth, but right before the Trump tariffs

1573
01:19:09,093 --> 01:19:10,973
Speaker 2: first started, I changed it to the safest fund and

1574
01:19:11,053 --> 01:19:14,372
Speaker 2: I didn't lose any money from it like most people did. Then,

1575
01:19:14,412 --> 01:19:16,652
Speaker 2: as the market came back, I moved to high growth

1576
01:19:16,652 --> 01:19:20,173
Speaker 2: again and made a massive profit. Same goes for Cheers's

1577
01:19:20,612 --> 01:19:25,412
Speaker 2: with gold mining companies tar. Yeah, that's interesting. Does it'd

1578
01:19:25,452 --> 01:19:27,652
Speaker 2: be interesting to know who rides their KEI we saver

1579
01:19:27,853 --> 01:19:28,053
Speaker 2: like that?

1580
01:19:28,732 --> 01:19:31,293
Speaker 3: Yeah? Good point. I've got no idea because we go

1581
01:19:31,372 --> 01:19:32,732
Speaker 3: what my key we save is do you kind of

1582
01:19:32,772 --> 01:19:33,772
Speaker 3: got three years, don't you?

1583
01:19:33,973 --> 01:19:34,333
Speaker 1: Yeah?

1584
01:19:34,372 --> 01:19:36,932
Speaker 2: So you know in this situation, you know, we're not

1585
01:19:37,013 --> 01:19:40,253
Speaker 2: you're not talking about day trading on individual you know,

1586
01:19:40,372 --> 01:19:43,133
Speaker 2: glamour stocks and risk at all. You're just you know,

1587
01:19:43,133 --> 01:19:45,133
Speaker 2: you're just putting it, pulling it back a gear yep,

1588
01:19:45,372 --> 01:19:47,333
Speaker 2: because you think you might be hitting some sort of

1589
01:19:48,013 --> 01:19:50,932
Speaker 2: steep financial hills. Yeah, and then when you get out

1590
01:19:50,933 --> 01:19:54,213
Speaker 2: the other side, shoving it back into the fourth I

1591
01:19:54,213 --> 01:19:54,492
Speaker 2: don't know.

1592
01:19:54,532 --> 01:19:56,013
Speaker 3: It's a good analogy. I like it.

1593
01:19:56,133 --> 01:19:56,333
Speaker 4: Yeah.

1594
01:19:56,412 --> 01:19:57,293
Speaker 3: Yeah.

1595
01:19:57,452 --> 01:19:57,692
Speaker 7: Right.

1596
01:19:57,933 --> 01:20:00,612
Speaker 3: We've got Steve who was hanging on for some time.

1597
01:20:00,772 --> 01:20:03,372
Speaker 3: And Steve, you've been investing since the early nineties.

1598
01:20:04,612 --> 01:20:05,412
Speaker 5: Yeah, that's correct.

1599
01:20:05,452 --> 01:20:08,612
Speaker 18: I started but ninety three, ninety four with her now

1600
01:20:08,732 --> 01:20:10,612
Speaker 18: a preache of one thousand shares in New Zealand, all

1601
01:20:10,612 --> 01:20:15,572
Speaker 18: in gas, which costs two or three grand, And since

1602
01:20:15,652 --> 01:20:18,772
Speaker 18: then I've just regularly bought shares. I've got three different

1603
01:20:18,772 --> 01:20:25,293
Speaker 18: portfolios totally. It's worse than low seven figures average returns

1604
01:20:25,492 --> 01:20:30,213
Speaker 18: up New Zealand portfolio over last what thirty years, looking

1605
01:20:30,213 --> 01:20:34,133
Speaker 18: at about a seventeen percent annual return per anum on average.

1606
01:20:35,333 --> 01:20:38,812
Speaker 18: Hatch got into that when they open up the market

1607
01:20:38,893 --> 01:20:42,452
Speaker 18: and twenty nineteen, so I've about fifty seven percent annual

1608
01:20:42,492 --> 01:20:46,972
Speaker 18: return on that. A couple of stock sort of boosted

1609
01:20:47,492 --> 01:20:52,492
Speaker 18: like Tesler Rocket Lab n video give it a good kick,

1610
01:20:52,652 --> 01:20:56,452
Speaker 18: gives a good kick along. One of stocks I've had

1611
01:20:56,612 --> 01:21:00,732
Speaker 18: for twenty years, which is a who Came Vestment trust.

1612
01:21:00,732 --> 01:21:05,893
Speaker 18: It's like ets gone up eight thousand percent, saying that

1613
01:21:07,253 --> 01:21:12,173
Speaker 18: I've got shares that were wiped out Pike River lay

1614
01:21:12,213 --> 01:21:16,732
Speaker 18: by two other shares like that. Cannabis got on the

1615
01:21:16,772 --> 01:21:21,253
Speaker 18: bandwagon with trends, cannabis trend which after side. Don't get

1616
01:21:21,293 --> 01:21:24,092
Speaker 18: on the trendy stuffs now, just look for good sided

1617
01:21:24,173 --> 01:21:28,253
Speaker 18: companies have probably got comfissioned and about probably too many shares,

1618
01:21:28,293 --> 01:21:32,173
Speaker 18: but sixty seventy eighty. But the shares that I like

1619
01:21:32,412 --> 01:21:35,133
Speaker 18: are the ones that you can walk in a shop.

1620
01:21:35,572 --> 01:21:38,892
Speaker 18: You can point to a Johns and Johnson product someone

1621
01:21:38,933 --> 01:21:41,572
Speaker 18: buys that they buying some of something from a company

1622
01:21:41,612 --> 01:21:47,412
Speaker 18: our I own some of iPhones, ice cream, food, so

1623
01:21:47,492 --> 01:21:51,372
Speaker 18: they looked quite a lot of consumables, so books I

1624
01:21:51,452 --> 01:21:53,133
Speaker 18: had to weigh which owns hind So every time you

1625
01:21:53,213 --> 01:21:56,092
Speaker 18: buy baked beans, you give me one trendth of descent

1626
01:21:57,492 --> 01:21:59,852
Speaker 18: and all these things like get in the short term.

1627
01:22:00,133 --> 01:22:02,412
Speaker 18: If you go, remember that there's been periods of time

1628
01:22:02,492 --> 01:22:05,412
Speaker 18: when the shoe market has gone down and backwards. The

1629
01:22:05,452 --> 01:22:09,213
Speaker 18: latest significant one was the GFC and the shoemaker didn't

1630
01:22:09,293 --> 01:22:13,253
Speaker 18: rise between two thousand and eight and two thousand and

1631
01:22:13,572 --> 01:22:18,972
Speaker 18: in twenty fourteen, and that's when you invested. Just keep investing.

1632
01:22:19,213 --> 01:22:23,013
Speaker 18: Time as your friend in the shue market. In the

1633
01:22:23,053 --> 01:22:27,573
Speaker 18: last couple of years, since twenty twenty, it's been anomine.

1634
01:22:27,853 --> 01:22:30,733
Speaker 18: You know, these returns won't continue.

1635
01:22:31,452 --> 01:22:33,292
Speaker 9: And you go get a share that's got.

1636
01:22:34,652 --> 01:22:38,253
Speaker 18: Strong cash flow that increased dividends year on year, and

1637
01:22:38,333 --> 01:22:43,012
Speaker 18: like Johnson and Johnson, Carterly Diiven has increased the last

1638
01:22:43,053 --> 01:22:46,772
Speaker 18: sixty years. And you know when you buy a shoe

1639
01:22:46,853 --> 01:22:51,652
Speaker 18: for three bucks and you go and it's gone up

1640
01:22:51,692 --> 01:22:54,572
Speaker 18: to say fifty bucks, and you're given a dividend of

1641
01:22:54,853 --> 01:22:58,253
Speaker 18: three bucks, there's one hundred percent return dividend on the

1642
01:22:58,293 --> 01:22:59,092
Speaker 18: initial outday.

1643
01:22:59,853 --> 01:23:03,253
Speaker 2: Yes, comes thinking about that, So dividends that's that she

1644
01:23:03,412 --> 01:23:07,612
Speaker 2: is paying out and and but also there's not it's

1645
01:23:07,612 --> 01:23:10,813
Speaker 2: not really anything until you've cashed out, right there, unrealized

1646
01:23:10,853 --> 01:23:13,612
Speaker 2: gains until until you have them in your and your

1647
01:23:13,973 --> 01:23:17,173
Speaker 2: bank account. So how often do you cash out? How

1648
01:23:17,213 --> 01:23:20,093
Speaker 2: often do you move the money into your bank account?

1649
01:23:21,173 --> 01:23:26,532
Speaker 18: Well is one Buffett said if he not repare to

1650
01:23:26,572 --> 01:23:30,253
Speaker 18: hold a good stock long term, it's got strong cash

1651
01:23:30,293 --> 01:23:35,253
Speaker 18: fly and he's held Coka Cola for fifty years. He's

1652
01:23:35,293 --> 01:23:36,772
Speaker 18: not going to be selling it anytime soon.

1653
01:23:37,572 --> 01:23:39,892
Speaker 2: Yeah, but if you never cash out, then you never

1654
01:23:39,933 --> 01:23:40,732
Speaker 2: make any money from it.

1655
01:23:40,812 --> 01:23:40,972
Speaker 5: Right.

1656
01:23:41,013 --> 01:23:42,772
Speaker 3: The idea is to have some money that you can

1657
01:23:42,893 --> 01:23:44,452
Speaker 3: spend on your assets.

1658
01:23:44,973 --> 01:23:48,772
Speaker 18: Yet your point taken, Well, I'm going to retire next

1659
01:23:48,853 --> 01:23:55,733
Speaker 18: year at sixty. I've got probably fifty thousand, sixty thousand

1660
01:23:55,893 --> 01:23:58,933
Speaker 18: per animal of dividends coming from a portfolio.

1661
01:23:59,853 --> 01:24:00,572
Speaker 5: So why would I.

1662
01:24:00,572 --> 01:24:02,492
Speaker 18: Want to sell a share that's given me a yield

1663
01:24:02,492 --> 01:24:04,652
Speaker 18: of sort of sixty seven?

1664
01:24:06,253 --> 01:24:08,333
Speaker 2: But do you take do you take those? Do you

1665
01:24:08,412 --> 01:24:09,452
Speaker 2: cast those dividends out?

1666
01:24:09,452 --> 01:24:11,572
Speaker 3: Though? So you know, I reinvest them.

1667
01:24:11,572 --> 01:24:14,893
Speaker 18: It goes into my different account and then those dividends.

1668
01:24:14,492 --> 01:24:16,732
Speaker 2: So what is your So do you have an you

1669
01:24:16,772 --> 01:24:19,452
Speaker 2: have a job that that is your income and then

1670
01:24:19,772 --> 01:24:22,452
Speaker 2: then the shares as just accumulating. But but at some

1671
01:24:22,452 --> 01:24:24,933
Speaker 2: point you'll cash out, right obviously it's otherwise it's just

1672
01:24:24,933 --> 01:24:26,012
Speaker 2: an exer size and numbers.

1673
01:24:27,093 --> 01:24:29,293
Speaker 18: Yeah, well, I'm not going to go to the grave

1674
01:24:29,333 --> 01:24:33,133
Speaker 18: with money still owing. When I go my grave, last

1675
01:24:33,213 --> 01:24:33,852
Speaker 18: chick will bounce.

1676
01:24:35,093 --> 01:24:36,932
Speaker 3: But when do you cast that out?

1677
01:24:36,973 --> 01:24:37,133
Speaker 18: Though?

1678
01:24:37,173 --> 01:24:38,812
Speaker 3: You know, if you have you've got a plan in mind.

1679
01:24:38,853 --> 01:24:40,612
Speaker 3: Have you got an age in mind that you say

1680
01:24:40,732 --> 01:24:42,573
Speaker 3: right now, I'm going to count spending?

1681
01:24:42,772 --> 01:24:46,772
Speaker 18: Yeah, yeah, yep, all that's and train at the moment.

1682
01:24:46,933 --> 01:24:50,652
Speaker 18: So I retire next year. I've been with some company

1683
01:24:51,893 --> 01:24:54,213
Speaker 18: number of years which give them the maturity which will

1684
01:24:55,253 --> 01:24:58,932
Speaker 18: cover my cost for two or three years. And then

1685
01:24:58,973 --> 01:25:04,892
Speaker 18: I'll just draw down and sell a chunk every six

1686
01:25:04,973 --> 01:25:09,492
Speaker 18: months and just we work it out that one hundred

1687
01:25:09,572 --> 01:25:11,972
Speaker 18: sounds of a year or fifty sounds of a year

1688
01:25:12,652 --> 01:25:17,572
Speaker 18: plus dividends plus super until I can't get it.

1689
01:25:18,333 --> 01:25:20,892
Speaker 3: Okay, No, it's a good strategy. You've got it all

1690
01:25:20,893 --> 01:25:21,372
Speaker 3: worked out.

1691
01:25:21,492 --> 01:25:25,093
Speaker 2: Well, good luck with that. Yeah, yeah, Well, who is that?

1692
01:25:25,173 --> 01:25:29,173
Speaker 2: There's a famous was it a Rockefeller or something. There's

1693
01:25:29,173 --> 01:25:31,053
Speaker 2: a famous story and there's the text that come through

1694
01:25:31,133 --> 01:25:33,093
Speaker 2: old old sheer quote when the bell boy knows it's

1695
01:25:33,133 --> 01:25:37,652
Speaker 2: time to get out, And there was a I can't remember,

1696
01:25:37,652 --> 01:25:39,213
Speaker 2: I think it was a Rockefeller, but he was walking

1697
01:25:39,253 --> 01:25:41,612
Speaker 2: down the street and he just heard a bunch of

1698
01:25:41,692 --> 01:25:43,973
Speaker 2: everyone talking about it. I think it was that the

1699
01:25:44,013 --> 01:25:46,532
Speaker 2: lift operator was talking about Sears and and then someone

1700
01:25:46,532 --> 01:25:48,173
Speaker 2: else was on the street was talking about Chears and

1701
01:25:48,173 --> 01:25:49,772
Speaker 2: someone else and he thought, time to poll.

1702
01:25:49,893 --> 01:25:52,652
Speaker 3: Yeah, it's got too popular. He runs in on it. Yeah.

1703
01:25:52,732 --> 01:25:55,133
Speaker 3: The problem is I always feel saying when the bell

1704
01:25:55,173 --> 01:25:56,972
Speaker 3: boy knows it's time to get out, and I always

1705
01:25:56,973 --> 01:25:58,732
Speaker 3: feel like the bellboy just my life.

1706
01:25:58,732 --> 01:26:02,133
Speaker 2: But you know, yeah, absolutely, yeah, you've got to further

1707
01:26:02,173 --> 01:26:06,092
Speaker 2: to the point before you've got to cash out. Otherwise

1708
01:26:06,133 --> 01:26:08,293
Speaker 2: you don't have anything. I mean, it's unrealized gains.

1709
01:26:08,412 --> 01:26:09,692
Speaker 3: Yeah, exactly, it's just a numbers.

1710
01:26:10,213 --> 01:26:12,892
Speaker 2: You can look at your portfolio, you can look at

1711
01:26:12,933 --> 01:26:14,812
Speaker 2: your app and go, oh, look how much money I've

1712
01:26:14,853 --> 01:26:18,333
Speaker 2: made on these shares. You haven't made any until you've

1713
01:26:18,372 --> 01:26:19,013
Speaker 2: got it out of here.

1714
01:26:19,133 --> 01:26:23,213
Speaker 3: Exactly, Yeah, one hundred percent. Right, great discussion. Thank you

1715
01:26:23,333 --> 01:26:25,852
Speaker 3: very much to everyone who has text and called on that.

1716
01:26:26,452 --> 01:26:29,652
Speaker 3: Really enjoyed that, and just a week disclaimer as well.

1717
01:26:29,652 --> 01:26:31,852
Speaker 3: Obviously everything that you heard over the past hour and

1718
01:26:31,893 --> 01:26:33,452
Speaker 3: a bit is not financial advice.

1719
01:26:33,572 --> 01:26:36,852
Speaker 2: Well, people texting that I don't understand dividends, I understand dividends.

1720
01:26:36,853 --> 01:26:39,452
Speaker 2: I get dividends on my shares. Matt shares paid dividends

1721
01:26:39,492 --> 01:26:41,412
Speaker 2: if they're doing well. You can choose to take the

1722
01:26:41,452 --> 01:26:42,293
Speaker 2: cash or reinvest it.

1723
01:26:42,333 --> 01:26:42,492
Speaker 5: Yeah.

1724
01:26:42,492 --> 01:26:44,253
Speaker 2: Absolutely, and I have someone of my dividends set just

1725
01:26:44,253 --> 01:26:47,013
Speaker 2: to reinvest. My point is he was saying that he

1726
01:26:47,053 --> 01:26:49,852
Speaker 2: was getting sixty thousand dollars a year in dividends, right, ye,

1727
01:26:50,572 --> 01:26:53,412
Speaker 2: total sixty thousand dollars a year, And my point was

1728
01:26:53,492 --> 01:26:56,692
Speaker 2: just that you're not unless you take it out. So

1729
01:26:56,812 --> 01:26:58,692
Speaker 2: those dividends, if they're just going through, they may grow

1730
01:26:58,732 --> 01:27:00,812
Speaker 2: and may grow as a number until you cash out

1731
01:27:01,612 --> 01:27:03,372
Speaker 2: and have the tangible money that you can spend on

1732
01:27:03,372 --> 01:27:07,732
Speaker 2: something else other than reinvesting or the share market. Then

1733
01:27:07,772 --> 01:27:09,333
Speaker 2: you haven't got any money.

1734
01:27:09,213 --> 01:27:11,973
Speaker 3: Yet exactly, just on paper. Yeah, great discussion, Thank you

1735
01:27:12,133 --> 01:27:14,253
Speaker 3: very much. Right coming up after the break, this is

1736
01:27:14,253 --> 01:27:16,852
Speaker 3: going to be another deep discussion and a good discussion

1737
01:27:16,853 --> 01:27:20,092
Speaker 3: as well. Last words, So this is after her final

1738
01:27:20,133 --> 01:27:24,213
Speaker 3: recorded interview, the great Late Jane Goodall. She didn't mince

1739
01:27:24,213 --> 01:27:26,372
Speaker 3: her words in this interview. She said she wished she

1740
01:27:26,372 --> 01:27:30,372
Speaker 3: could send Donald Trump elon mask, Vladimir pusin zijingping, and

1741
01:27:30,492 --> 01:27:34,093
Speaker 3: Benjamin Netanyahu on a one way space trip. So it

1742
01:27:34,133 --> 01:27:36,812
Speaker 3: was a hell of a final message for the world

1743
01:27:36,812 --> 01:27:40,692
Speaker 3: from Jane Goodall. And clearly she had an incredible legacy

1744
01:27:40,692 --> 01:27:43,612
Speaker 3: that she's left behind with her works with chimpanzees. But

1745
01:27:43,933 --> 01:27:47,012
Speaker 3: last words. Have you ever thought about what your last

1746
01:27:47,013 --> 01:27:47,572
Speaker 3: words may be?

1747
01:27:47,933 --> 01:27:49,692
Speaker 2: Yeah, because you got to look at her words and go,

1748
01:27:50,213 --> 01:27:52,572
Speaker 2: you know, these are different from last last words.

1749
01:27:52,572 --> 01:27:53,932
Speaker 3: These are her last public words.

1750
01:27:53,933 --> 01:27:56,213
Speaker 2: But her last words were saying that she wanted to

1751
01:27:56,253 --> 01:27:57,452
Speaker 2: shoot some people into space.

1752
01:27:57,893 --> 01:27:58,053
Speaker 7: Yeah.

1753
01:27:58,093 --> 01:28:00,253
Speaker 2: I don't know if my last words I'd want them.

1754
01:28:00,173 --> 01:28:03,452
Speaker 3: To be so negative. Yeah, but you know, do you

1755
01:28:03,492 --> 01:28:05,932
Speaker 3: plan your last words? Have you heard last words from someone?

1756
01:28:06,652 --> 01:28:06,852
Speaker 7: You know?

1757
01:28:08,492 --> 01:28:11,253
Speaker 3: You remember the last words of that you spoke to someone?

1758
01:28:11,372 --> 01:28:11,612
Speaker 14: Yeah?

1759
01:28:11,692 --> 01:28:14,732
Speaker 2: Last words are a really important thing for some reason.

1760
01:28:15,253 --> 01:28:17,612
Speaker 2: We spec speak millions and millions of words over our life,

1761
01:28:17,612 --> 01:28:19,692
Speaker 2: and Jane Goodhall has She's spoken a lot of them

1762
01:28:19,692 --> 01:28:23,173
Speaker 2: to primates. Well, we're all primates, we are, technically. Yeah,

1763
01:28:23,253 --> 01:28:25,492
Speaker 2: actually spoken a lot of them to chimpanzees. She has

1764
01:28:25,893 --> 01:28:30,052
Speaker 2: an apes and other apes, but the last ones are important,

1765
01:28:30,133 --> 01:28:35,133
Speaker 2: and hers were sending Elin Musk and watching death upon

1766
01:28:35,173 --> 01:28:36,053
Speaker 2: a lot of people and.

1767
01:28:36,053 --> 01:28:38,372
Speaker 3: Odd choice, but get hear from you, oh eight hundred

1768
01:28:38,372 --> 01:28:40,852
Speaker 3: and eighty ten eighty. Have you thought about your own

1769
01:28:40,893 --> 01:28:44,492
Speaker 3: final messages to your family or the world and what

1770
01:28:44,572 --> 01:28:46,692
Speaker 3: last words have you heard from your own family members?

1771
01:28:46,692 --> 01:28:48,492
Speaker 3: Really can never cheat you chat with you. It is

1772
01:28:48,532 --> 01:28:49,492
Speaker 3: seventeen past.

1773
01:28:49,293 --> 01:28:51,732
Speaker 1: Three US talk. Sa'd be very good.

1774
01:28:51,612 --> 01:28:54,532
Speaker 3: Afternoon to you. So we have asked the question, have

1775
01:28:54,572 --> 01:28:57,812
Speaker 3: you thought about what your last words may be? Or indeed,

1776
01:28:57,853 --> 01:29:00,612
Speaker 3: if you have had a family member sadly pass away,

1777
01:29:00,652 --> 01:29:02,572
Speaker 3: the last words you said to them or they said

1778
01:29:02,612 --> 01:29:04,213
Speaker 3: to you. It's on the back of Jane good Or

1779
01:29:04,293 --> 01:29:08,092
Speaker 3: sadly passed away. She was an icon and very successful,

1780
01:29:08,612 --> 01:29:11,893
Speaker 3: left behind a great legacy with her work on chimpanzee.

1781
01:29:11,973 --> 01:29:14,452
Speaker 3: She passed away earlier this week, but her last words

1782
01:29:14,452 --> 01:29:18,052
Speaker 3: in a final interview were quite out there. She said

1783
01:29:18,093 --> 01:29:20,412
Speaker 3: she wished she could send Donald Trump, Elon Musk, Vladimir

1784
01:29:20,412 --> 01:29:23,612
Speaker 3: Putin and Benjamin Nittan Yahoo on a one way space trip.

1785
01:29:23,893 --> 01:29:26,772
Speaker 2: Six's prison chump, just achieve peace in the Middle East.

1786
01:29:27,213 --> 01:29:28,973
Speaker 2: If a good Ord had away, he would have been

1787
01:29:28,973 --> 01:29:35,173
Speaker 2: in space and unable to do it. Interesting, that's the

1788
01:29:35,173 --> 01:29:38,492
Speaker 2: thing about the final thing. Your final words are your

1789
01:29:38,492 --> 01:29:41,253
Speaker 2: final words. You can't you can't, you can't.

1790
01:29:41,692 --> 01:29:43,812
Speaker 3: Walk them back. Yeah, And let's be clear. These weren't

1791
01:29:43,812 --> 01:29:44,412
Speaker 3: words that she.

1792
01:29:46,532 --> 01:29:48,973
Speaker 2: Rattled on her deathbed to her family. They were her

1793
01:29:49,053 --> 01:29:55,333
Speaker 2: last public words. Some famous last words. Here we go, Oh,

1794
01:29:55,372 --> 01:29:57,732
Speaker 2: Bob Marley, money can't buy life?

1795
01:29:58,333 --> 01:30:00,452
Speaker 3: Oh that is good. Yeah.

1796
01:30:00,652 --> 01:30:05,333
Speaker 2: Oscar Wilde's famous words last words were either this wallpaper

1797
01:30:05,333 --> 01:30:08,812
Speaker 2: goes or I do very good. Winston she Cho's last

1798
01:30:08,812 --> 01:30:11,492
Speaker 2: words were apparently on board with it all wow wew.

1799
01:30:11,652 --> 01:30:13,173
Speaker 2: I mean he did a lot of He was involved

1800
01:30:13,213 --> 01:30:14,812
Speaker 2: in a lot of high pressure, exciting things.

1801
01:30:15,013 --> 01:30:15,333
Speaker 7: He was.

1802
01:30:16,973 --> 01:30:22,333
Speaker 2: Beethoven's last words were apparently friends, applaud the comedy is finished.

1803
01:30:23,133 --> 01:30:25,853
Speaker 3: That's deep. It is very deep. Yeah.

1804
01:30:26,093 --> 01:30:28,652
Speaker 2: And Bob Marley, did I say, has final words where

1805
01:30:28,732 --> 01:30:29,732
Speaker 2: money can't buy life?

1806
01:30:29,772 --> 01:30:30,772
Speaker 3: He was a smart guy, Bob.

1807
01:30:31,013 --> 01:30:33,052
Speaker 2: So do you spend time thinking about what your final

1808
01:30:33,093 --> 01:30:33,772
Speaker 2: words will be?

1809
01:30:34,053 --> 01:30:37,452
Speaker 3: You must do, right, I mean, like, it's funny thing

1810
01:30:37,492 --> 01:30:39,772
Speaker 3: to think about, but I'd be lying to say I've

1811
01:30:39,772 --> 01:30:41,293
Speaker 3: even I thought about it, and I think most of

1812
01:30:41,372 --> 01:30:44,372
Speaker 3: us have. But when that time comes and you're looking

1813
01:30:44,412 --> 01:30:46,372
Speaker 3: back on coming for all of us, it is coming

1814
01:30:46,372 --> 01:30:48,492
Speaker 3: for all of us, and you're looking back, and clearly

1815
01:30:48,532 --> 01:30:51,892
Speaker 3: you'd be thinking about what are the final messages I

1816
01:30:52,013 --> 01:30:54,932
Speaker 3: want to share, particularly with the family, but also if

1817
01:30:54,973 --> 01:30:59,572
Speaker 3: you've had achievements or a colorful life, there might be

1818
01:30:59,652 --> 01:31:02,852
Speaker 3: something that you wish to be put into on your

1819
01:31:02,853 --> 01:31:05,132
Speaker 3: tombstone or read out at the funeral.

1820
01:31:05,452 --> 01:31:08,093
Speaker 2: David says, make sure your family members know you love them.

1821
01:31:08,372 --> 01:31:09,972
Speaker 2: I told my dad that I loved him two days

1822
01:31:09,973 --> 01:31:12,012
Speaker 2: before he died. He replied the same, and we harked.

1823
01:31:12,053 --> 01:31:14,732
Speaker 3: He said it was implied, but unsaid I knew I

1824
01:31:14,732 --> 01:31:15,692
Speaker 3: wouldn't see him again.

1825
01:31:15,732 --> 01:31:17,253
Speaker 2: That's from David. So that's the other part of it,

1826
01:31:17,333 --> 01:31:20,812
Speaker 2: is your final words to people. Yeah, and as I've

1827
01:31:20,812 --> 01:31:24,053
Speaker 2: said on the show before, my final words to my

1828
01:31:24,133 --> 01:31:25,812
Speaker 2: mum were I love you Mom.

1829
01:31:26,293 --> 01:31:26,532
Speaker 3: You know.

1830
01:31:26,612 --> 01:31:31,492
Speaker 2: She she died suddenly, which I think about every day.

1831
01:31:32,812 --> 01:31:35,812
Speaker 2: But I was so pleased, I mean, not pleased, it's

1832
01:31:35,893 --> 01:31:39,093
Speaker 2: not the right word, but it feels good to know

1833
01:31:39,173 --> 01:31:40,692
Speaker 2: that my last words were I love you, mum.

1834
01:31:40,772 --> 01:31:42,692
Speaker 3: That's a big one. Yeah, for last words, I love you.

1835
01:31:43,093 --> 01:31:45,372
Speaker 2: And I'm lucky in that circumstance because we were on

1836
01:31:45,412 --> 01:31:48,213
Speaker 2: the phone, talking on the phone, and I always said

1837
01:31:48,213 --> 01:31:49,333
Speaker 2: I love you mum at the end of the call,

1838
01:31:49,532 --> 01:31:53,132
Speaker 2: so so I had a good chance of successfully There's.

1839
01:31:52,973 --> 01:31:55,572
Speaker 3: A beautiful message that h you know, but I love you.

1840
01:31:55,893 --> 01:31:59,812
Speaker 2: I love you mum. As is pretty good last words

1841
01:31:59,853 --> 01:32:01,093
Speaker 2: to say to someone. I'm pretty happy with that.

1842
01:32:01,173 --> 01:32:03,532
Speaker 3: Absolutely, not to pat myself on the back for it,

1843
01:32:03,612 --> 01:32:05,612
Speaker 3: but I mean that is that sums it up for

1844
01:32:05,612 --> 01:32:07,692
Speaker 3: a lot of people. One hundred and eighty ten eighty

1845
01:32:07,732 --> 01:32:10,652
Speaker 3: is the number of call if you had of that

1846
01:32:10,732 --> 01:32:13,692
Speaker 3: conversation with a loved one. You know, what did you

1847
01:32:13,732 --> 01:32:15,892
Speaker 3: talk about? What was their last words or what were

1848
01:32:16,053 --> 01:32:18,652
Speaker 3: your last words to them? Lo there, guys.

1849
01:32:18,812 --> 01:32:22,453
Speaker 2: I actually I'll read this beautiful text out from Graham

1850
01:32:22,492 --> 01:32:23,612
Speaker 2: after the break.

1851
01:32:23,612 --> 01:32:26,692
Speaker 3: Actually, but that's quite touching. It is twenty three past

1852
01:32:26,732 --> 01:32:28,013
Speaker 3: three back in a moment.

1853
01:32:31,412 --> 01:32:35,093
Speaker 1: Matt Heathen, Tyler Adams afternoons call oh eight hundred eighty

1854
01:32:35,333 --> 01:32:37,013
Speaker 1: eighty on Youth Talk ZB.

1855
01:32:37,333 --> 01:32:40,213
Speaker 3: Afternoon Dune twenty five past three. We are talking about

1856
01:32:40,372 --> 01:32:43,372
Speaker 3: last words. This is from Graham. Hay, guys.

1857
01:32:43,812 --> 01:32:47,132
Speaker 2: A year ago tomorrow, I took my life to hospice. Sorry,

1858
01:32:47,213 --> 01:32:50,532
Speaker 2: I took my wife to hospice where, sadly she died.

1859
01:32:50,572 --> 01:32:53,333
Speaker 2: Twenty days later, on the thirtieth of October. For the

1860
01:32:53,372 --> 01:32:55,452
Speaker 2: last thirty six hours of her life. I lay next

1861
01:32:55,452 --> 01:32:58,212
Speaker 2: to her to help keep her calm and to comfort.

1862
01:32:58,333 --> 01:33:01,172
Speaker 2: My last words to her with thank you, my darling.

1863
01:33:01,333 --> 01:33:04,612
Speaker 2: I love you to the moon and back. I love

1864
01:33:04,612 --> 01:33:06,612
Speaker 2: you to the moon and back. I would give anything

1865
01:33:06,652 --> 01:33:09,173
Speaker 2: to hold her and tell her how much I loved her.

1866
01:33:09,812 --> 01:33:12,093
Speaker 2: Grief is a living hell, so make sure you tell

1867
01:33:12,133 --> 01:33:15,053
Speaker 2: those people close to you what they mean to you.

1868
01:33:15,253 --> 01:33:18,732
Speaker 3: She is Graham man. I knew this might get me,

1869
01:33:18,812 --> 01:33:20,933
Speaker 3: but that certainly got me. I love you to the

1870
01:33:20,933 --> 01:33:24,452
Speaker 3: moon and back. Graham, You're You're a legend of a man.

1871
01:33:24,492 --> 01:33:27,572
Speaker 2: And he would give anything to hold her and tell

1872
01:33:27,612 --> 01:33:29,412
Speaker 2: her how much he loved her.

1873
01:33:29,492 --> 01:33:34,532
Speaker 3: Right now, Wow, beautiful text. Graham certainly is Fiona. How

1874
01:33:34,532 --> 01:33:35,372
Speaker 3: are you this afternoon?

1875
01:33:36,333 --> 01:33:38,452
Speaker 14: Oh good things tell you guys.

1876
01:33:38,173 --> 01:33:40,333
Speaker 3: Very good. So you want to have a chat about

1877
01:33:40,372 --> 01:33:41,333
Speaker 3: your mother's last words?

1878
01:33:42,333 --> 01:33:45,572
Speaker 14: Yes, yes, so my mother's last words were she was

1879
01:33:45,572 --> 01:33:48,492
Speaker 14: from holland have a greater Holland instead of that that

1880
01:33:48,692 --> 01:33:51,852
Speaker 14: God has got some strange clients, thank God.

1881
01:33:54,772 --> 01:33:55,852
Speaker 3: And that was really funny.

1882
01:33:55,933 --> 01:33:58,572
Speaker 14: That set in with four I graduated as a late

1883
01:33:58,612 --> 01:34:02,293
Speaker 14: houstial leader, and I remember that many times I was great,

1884
01:34:02,412 --> 01:34:05,052
Speaker 14: not only just lovely words, but great advice as well.

1885
01:34:05,333 --> 01:34:08,652
Speaker 3: Yeah, that's beautiful. What a great mom you had. Owner.

1886
01:34:09,492 --> 01:34:14,412
Speaker 14: Yeah, and I reckon, I would say, but the life

1887
01:34:14,572 --> 01:34:17,852
Speaker 14: is what life is because I read something I read

1888
01:34:17,893 --> 01:34:20,093
Speaker 14: to see that we are only ever upsets when we

1889
01:34:20,133 --> 01:34:22,253
Speaker 14: get what we don't want, or we want what we

1890
01:34:22,293 --> 01:34:26,053
Speaker 14: don't get. So just time to live life, you know,

1891
01:34:26,213 --> 01:34:28,053
Speaker 14: it is what it is, and make the most of

1892
01:34:28,093 --> 01:34:30,772
Speaker 14: what you thought of every day as pressure.

1893
01:34:31,372 --> 01:34:33,933
Speaker 3: It's pretty good. So you have that ready on a

1894
01:34:33,933 --> 01:34:35,093
Speaker 3: little bit of paper.

1895
01:34:39,173 --> 01:34:40,412
Speaker 18: And they might remember it.

1896
01:34:42,732 --> 01:34:44,852
Speaker 3: Thank you so much for you, Fiona. Yeah, what a

1897
01:34:44,853 --> 01:34:46,173
Speaker 3: great philosophy.

1898
01:34:45,933 --> 01:34:48,093
Speaker 2: The sester said, sadly. My last words to mind nan

1899
01:34:48,213 --> 01:34:50,732
Speaker 2: where I'll call you back? She called me at work

1900
01:34:51,173 --> 01:34:54,372
Speaker 2: wanting my mum's her daughter's phone, her daughter's phone number,

1901
01:34:54,532 --> 01:34:56,772
Speaker 2: as she had lost her little book of numbers. Well,

1902
01:34:56,812 --> 01:34:58,532
Speaker 2: I forgot to call her back, and the next morning

1903
01:34:58,572 --> 01:35:00,532
Speaker 2: I was told she had suffered a heart attack. Still

1904
01:35:00,532 --> 01:35:04,293
Speaker 2: haunts me at times. You can't blame yourself for that, no,

1905
01:35:04,412 --> 01:35:06,773
Speaker 2: because you didn't know the significance of.

1906
01:35:06,532 --> 01:35:08,052
Speaker 3: The situation exactly.

1907
01:35:08,333 --> 01:35:10,572
Speaker 2: And who hasn't forgotten to call someone back?

1908
01:35:10,612 --> 01:35:13,173
Speaker 3: One hundred percent yees oh e one hundred and eighty.

1909
01:35:13,412 --> 01:35:15,372
Speaker 2: But that sort of talks to the significance of the

1910
01:35:15,492 --> 01:35:18,812
Speaker 2: end of people's lives, because you know, you could not

1911
01:35:18,893 --> 01:35:22,253
Speaker 2: call nan back five times at different times, but when

1912
01:35:22,253 --> 01:35:24,692
Speaker 2: it's the last time, it really means something.

1913
01:35:24,853 --> 01:35:25,333
Speaker 3: Yeah.

1914
01:35:25,093 --> 01:35:29,772
Speaker 2: Yeah, And that's why maybe Jane Goodle's last words wanting

1915
01:35:29,772 --> 01:35:33,492
Speaker 2: to shoot Elon Musk and Donald Trump and a few

1916
01:35:33,492 --> 01:35:36,612
Speaker 2: others into space, you know, slightly unusual.

1917
01:35:36,853 --> 01:35:39,372
Speaker 3: Yeah, yeah, oh on one hundred and eighty. Ten eighty

1918
01:35:39,452 --> 01:35:41,452
Speaker 3: is the number to call last words? Have you thought

1919
01:35:41,452 --> 01:35:44,013
Speaker 3: about what you hope your last words are or a

1920
01:35:44,053 --> 01:35:46,452
Speaker 3: family member when you had that conversation, Love to hear

1921
01:35:46,492 --> 01:35:47,932
Speaker 3: from you. It is twenty nine past three.

1922
01:35:50,173 --> 01:35:53,972
Speaker 12: Jew's talk said the headlines with blue bubble taxis it's

1923
01:35:54,013 --> 01:35:57,852
Speaker 12: no trouble with a blue bubble, Hope's and announcement. Israel

1924
01:35:57,893 --> 01:36:00,612
Speaker 12: and Humas have signed off the first phase of a

1925
01:36:00,612 --> 01:36:04,932
Speaker 12: peace framework for Gaza is the beginning of lasting change.

1926
01:36:05,412 --> 01:36:08,652
Speaker 12: Its conditions mean hostages could be released as early is

1927
01:36:08,692 --> 01:36:13,373
Speaker 12: this weekend, and Israel will withdraw troops to a designated line.

1928
01:36:14,053 --> 01:36:16,893
Speaker 12: A body has been found near christ Church is Whitewash

1929
01:36:16,893 --> 01:36:19,732
Speaker 12: Head at Scarborough, but it's not believed to be missing.

1930
01:36:19,772 --> 01:36:23,173
Speaker 12: Teen Marley, a fifty four year old man's been charged

1931
01:36:23,213 --> 01:36:27,012
Speaker 12: with arson, producing meth injuring a police dog and resisting

1932
01:36:27,053 --> 01:36:30,652
Speaker 12: police and will have a hospital bedside hearing after a

1933
01:36:30,652 --> 01:36:35,013
Speaker 12: house fire in Auckland's Massy this morning. Prosecution's likely for

1934
01:36:35,053 --> 01:36:37,852
Speaker 12: two fishes caught with thirty times the daily limit of

1935
01:36:37,973 --> 01:36:41,812
Speaker 12: power that were undersized at way Hoo Beach north of Gisbon.

1936
01:36:42,732 --> 01:36:46,012
Speaker 12: A plane understood to be a christ Church to Nandi flight.

1937
01:36:46,372 --> 01:36:50,852
Speaker 12: A circular is circling above Canterbury. Emergency services are on

1938
01:36:51,013 --> 01:36:55,732
Speaker 12: standby for landing at christ Church Airport. How to handle

1939
01:36:55,893 --> 01:36:59,253
Speaker 12: AI hype when your boss is obsessed but you're not.

1940
01:36:59,853 --> 01:37:02,612
Speaker 12: You can read more at endsid Herald Premium. Back to

1941
01:37:02,652 --> 01:37:04,452
Speaker 12: Matteathan Tyler Adams.

1942
01:37:04,013 --> 01:37:07,092
Speaker 3: Thank you very much, Rayli. We are talking about last words.

1943
01:37:07,093 --> 01:37:09,293
Speaker 3: If you've thought about what you're a last words you

1944
01:37:09,372 --> 01:37:11,973
Speaker 3: hope them to be, or the last words from a

1945
01:37:11,973 --> 01:37:13,812
Speaker 3: family member. Oh, one hundred and eighteen eighty is the

1946
01:37:13,933 --> 01:37:15,452
Speaker 3: number to call this.

1947
01:37:15,612 --> 01:37:18,932
Speaker 2: Text to hear my When my father in law passed,

1948
01:37:18,973 --> 01:37:20,812
Speaker 2: my last words to him were thank you for being

1949
01:37:20,812 --> 01:37:23,932
Speaker 2: a wonderful granddad to our children. They are decided last

1950
01:37:24,133 --> 01:37:26,852
Speaker 2: words to say to something that is beautiful Gabrielle, welcome

1951
01:37:26,893 --> 01:37:27,293
Speaker 2: to the show.

1952
01:37:28,893 --> 01:37:31,412
Speaker 21: Yeah, Gedomett and Tyler, how are you good?

1953
01:37:31,452 --> 01:37:32,732
Speaker 3: Thank you? Thanks for calling.

1954
01:37:32,812 --> 01:37:33,052
Speaker 1: Good.

1955
01:37:34,213 --> 01:37:38,972
Speaker 21: So I rang up because my father he passed away

1956
01:37:38,973 --> 01:37:41,932
Speaker 21: about thirty five years ago. He was in the hospital

1957
01:37:41,933 --> 01:37:45,652
Speaker 21: at the time, and a day before he passed away,

1958
01:37:45,772 --> 01:37:48,133
Speaker 21: I went to go and surm and he asked me

1959
01:37:48,253 --> 01:37:51,293
Speaker 21: why did I not like the name that he'd given me?

1960
01:37:52,333 --> 01:37:55,572
Speaker 21: And I said, I don't like dad. They've all everyone's

1961
01:37:55,612 --> 01:37:57,892
Speaker 21: always called me that. And he said to me that

1962
01:37:58,412 --> 01:38:02,053
Speaker 21: your mother never liked the name, and I think that's

1963
01:38:02,093 --> 01:38:04,213
Speaker 21: how it got to be. And I said, I'm happy

1964
01:38:04,253 --> 01:38:06,053
Speaker 21: with that, and he said, well, why don't you use

1965
01:38:06,093 --> 01:38:10,652
Speaker 21: your real name, which is Gabe Peter. And everyone used

1966
01:38:10,692 --> 01:38:12,692
Speaker 21: to call them in the family Peter, and they only

1967
01:38:12,772 --> 01:38:15,973
Speaker 21: know me as Peter. But I'm my IR certificate my

1968
01:38:16,133 --> 01:38:21,093
Speaker 21: name is Gabriel Peter with my surname after that. And

1969
01:38:21,173 --> 01:38:24,253
Speaker 21: so from that point on, thirty five years ago, I've

1970
01:38:24,293 --> 01:38:29,253
Speaker 21: been using my real name, Gabriel, and it's only the

1971
01:38:29,333 --> 01:38:32,772
Speaker 21: family had still call me Peter. But when perhaps two

1972
01:38:32,772 --> 01:38:36,613
Speaker 21: groups meet, it's a bit confusing because one's calling me Gabriel,

1973
01:38:37,133 --> 01:38:39,772
Speaker 21: the other one's calling me Peter. But they get over it.

1974
01:38:39,973 --> 01:38:41,852
Speaker 3: Yeah, yeah, right, yeah, workable.

1975
01:38:42,333 --> 01:38:42,572
Speaker 1: Yeah.

1976
01:38:42,652 --> 01:38:44,932
Speaker 3: I was thinking about Peter Gabriel as well. It would

1977
01:38:44,973 --> 01:38:46,812
Speaker 3: be confusing for some people.

1978
01:38:47,133 --> 01:38:49,412
Speaker 2: This is an interesting story in it, and I'll try

1979
01:38:49,452 --> 01:38:50,732
Speaker 2: and unpack it as best.

1980
01:38:50,532 --> 01:38:50,932
Speaker 3: As I can.

1981
01:38:51,053 --> 01:38:51,173
Speaker 16: Right.

1982
01:38:51,173 --> 01:38:52,052
Speaker 3: It came through a text.

1983
01:38:52,612 --> 01:38:55,053
Speaker 2: I was in jail on remand during lock up I

1984
01:38:55,053 --> 01:38:56,973
Speaker 2: managed to slip into the office, lock the door and

1985
01:38:56,973 --> 01:38:59,253
Speaker 2: get an outside line. I rang my dad and told

1986
01:38:59,333 --> 01:39:01,812
Speaker 2: him not to worry about visiting tomorrow. I'd be out

1987
01:39:01,893 --> 01:39:04,972
Speaker 2: next week or good. I took aback a few things,

1988
01:39:05,053 --> 01:39:08,173
Speaker 2: as you do. In the conversation that night around too

1989
01:39:08,372 --> 01:39:10,652
Speaker 2: at the AM, I kind of knew he had gotten up,

1990
01:39:10,692 --> 01:39:13,012
Speaker 2: felt dizzy, and fallen onto a heater bumper his head.

1991
01:39:13,572 --> 01:39:16,692
Speaker 2: That call earlier was the first and last time we

1992
01:39:16,772 --> 01:39:19,652
Speaker 2: ever spoke as friends. There was a distance to cover

1993
01:39:19,973 --> 01:39:21,013
Speaker 2: and no time to do it.

1994
01:39:21,772 --> 01:39:22,012
Speaker 3: Yeah.

1995
01:39:22,133 --> 01:39:28,772
Speaker 2: Oh man, yeah wow, I mean, yeah.

1996
01:39:28,572 --> 01:39:31,013
Speaker 3: I get well. At least you could get into that

1997
01:39:31,093 --> 01:39:33,972
Speaker 3: office and give your dad a call one more time. Yeah.

1998
01:39:34,013 --> 01:39:35,412
Speaker 2: I mean it's sad that you didn't get to talk

1999
01:39:35,452 --> 01:39:38,133
Speaker 2: to him again, but also it was good that you

2000
01:39:38,213 --> 01:39:41,572
Speaker 2: had that one chats as you know friends.

2001
01:39:41,732 --> 01:39:45,173
Speaker 3: Yeah, and clearly you remember that very very clearly, Jill,

2002
01:39:45,293 --> 01:39:48,293
Speaker 3: how are you this afternoon? Y?

2003
01:39:50,572 --> 01:39:54,173
Speaker 10: Look, there's some amazing stories going on here about love

2004
01:39:55,133 --> 01:39:59,652
Speaker 10: and forgiveness and all that sort of thing. Now, this

2005
01:40:00,093 --> 01:40:04,173
Speaker 10: goes back to when I was seven years of age.

2006
01:40:05,652 --> 01:40:09,452
Speaker 10: I'm only knocking a sheep, but I was even years

2007
01:40:09,452 --> 01:40:14,012
Speaker 10: of age and my brother was nine. Now, he suffered

2008
01:40:14,053 --> 01:40:18,452
Speaker 10: from asthma, and of course there weren't the things available

2009
01:40:18,572 --> 01:40:22,932
Speaker 10: then that there are now to help people that suffer

2010
01:40:23,612 --> 01:40:29,492
Speaker 10: from that. Anyway, because we lived in about while the

2011
01:40:29,532 --> 01:40:35,212
Speaker 10: house was being built, we had bunked, so I slept

2012
01:40:35,293 --> 01:40:38,532
Speaker 10: on the top bunk so Mum and Dad could get

2013
01:40:38,612 --> 01:40:44,092
Speaker 10: to my brother on the bottom if he had an attack. Well,

2014
01:40:44,173 --> 01:40:50,133
Speaker 10: after several years he did have an attack, and of

2015
01:40:50,133 --> 01:40:54,093
Speaker 10: course they thought he was growing out of it, but

2016
01:40:54,213 --> 01:40:57,572
Speaker 10: he had an attacked this night that took his life.

2017
01:40:57,772 --> 01:41:00,933
Speaker 10: And I heard his last words, and they were to

2018
01:41:01,053 --> 01:41:07,133
Speaker 10: my mother. He said, I am there and I have won.

2019
01:41:08,053 --> 01:41:12,892
Speaker 10: What ever that meant? I knew he believed in God,

2020
01:41:13,492 --> 01:41:16,293
Speaker 10: where some of the family didn't, if you know what

2021
01:41:16,333 --> 01:41:16,892
Speaker 10: I'm saying.

2022
01:41:17,853 --> 01:41:23,293
Speaker 2: So was that I am there and I have won?

2023
01:41:23,732 --> 01:41:24,452
Speaker 2: Was that what they were?

2024
01:41:24,612 --> 01:41:26,732
Speaker 10: I am there and I have won?

2025
01:41:27,652 --> 01:41:28,012
Speaker 3: Wow?

2026
01:41:28,452 --> 01:41:32,092
Speaker 10: And I thought those were very profound for a nine

2027
01:41:32,173 --> 01:41:32,972
Speaker 10: year old boy.

2028
01:41:33,213 --> 01:41:37,333
Speaker 3: Yeah, absolutely, wow for you, Jill. And this will will

2029
01:41:37,372 --> 01:41:40,093
Speaker 3: sound like an odd question, but looking back, now, does

2030
01:41:40,133 --> 01:41:42,333
Speaker 3: that give you some form of comfort?

2031
01:41:43,612 --> 01:41:47,892
Speaker 10: No, take to me all my life, because I have

2032
01:41:48,853 --> 01:41:54,452
Speaker 10: the guilt of the survivor. I was born strong, and

2033
01:41:55,853 --> 01:41:59,853
Speaker 10: you know I used to build out to the playground

2034
01:41:59,933 --> 01:42:01,852
Speaker 10: that they touched and sort of things.

2035
01:42:01,973 --> 01:42:04,772
Speaker 2: Yeah, right, but I mean that that's and I'm sure

2036
01:42:04,812 --> 01:42:07,012
Speaker 2: you've gone through this in your life, but I mean

2037
01:42:07,412 --> 01:42:09,852
Speaker 2: you you went responsible for the hand you were dowed

2038
01:42:09,933 --> 01:42:13,973
Speaker 2: or the hand your brother what was dealt, so you know,

2039
01:42:14,213 --> 01:42:16,972
Speaker 2: there's there's absolutely no reason for you to feel guilty.

2040
01:42:17,013 --> 01:42:21,333
Speaker 2: But one incredible I mean I am there and I

2041
01:42:21,372 --> 01:42:24,293
Speaker 2: have one very profound Wow. Thanks so much to you,

2042
01:42:24,372 --> 01:42:26,092
Speaker 2: cool Jill, Jill, thanks for sharing.

2043
01:42:26,772 --> 01:42:27,853
Speaker 3: When my wife.

2044
01:42:27,572 --> 01:42:30,412
Speaker 2: Died at a stage where she couldn't talk, she asked

2045
01:42:30,412 --> 01:42:32,852
Speaker 2: for a pen and paper and wrote I love you

2046
01:42:33,213 --> 01:42:33,572
Speaker 2: x X.

2047
01:42:34,372 --> 01:42:37,293
Speaker 3: Well. I have that last note framed and no treasure.

2048
01:42:37,452 --> 01:42:39,692
Speaker 3: Oh that is beautiful. Yeah, my god, that would be

2049
01:42:39,732 --> 01:42:40,492
Speaker 3: the most treasured.

2050
01:42:40,973 --> 01:42:42,572
Speaker 2: You know, when you talk about what you'd run back

2051
01:42:42,612 --> 01:42:45,293
Speaker 2: into the house to save from a fire, Yeah, I mean.

2052
01:42:45,372 --> 01:42:46,013
Speaker 3: That would be it.

2053
01:42:46,412 --> 01:42:46,732
Speaker 15: Yeah.

2054
01:42:46,772 --> 01:42:49,293
Speaker 3: Absolutely, Oh eight hundred and eighty ten eighty is the

2055
01:42:49,372 --> 01:42:51,253
Speaker 3: number to call Colin. How are you?

2056
01:42:52,452 --> 01:42:55,372
Speaker 15: Oh, hi guys. Yes, I thought i'd share with you

2057
01:42:55,492 --> 01:42:59,333
Speaker 15: the story when my younger brother died. He was dying

2058
01:42:59,372 --> 01:43:02,293
Speaker 15: from cancer and he was in a hospice type situation

2059
01:43:02,612 --> 01:43:05,412
Speaker 15: and the last time I saw my last visit there,

2060
01:43:06,412 --> 01:43:11,173
Speaker 15: he could hardly talk. And anyway, we came time for

2061
01:43:11,253 --> 01:43:13,652
Speaker 15: me to leave. When as I was leaving, he beckoned

2062
01:43:13,772 --> 01:43:16,452
Speaker 15: me back and I went up to him and he

2063
01:43:16,572 --> 01:43:19,093
Speaker 15: was he sort of murmured something and I couldn't quite

2064
01:43:19,173 --> 01:43:21,812
Speaker 15: hear him, so like the bend right down close, and

2065
01:43:21,853 --> 01:43:25,253
Speaker 15: he said something something something, So sorry, Jerry, I can't

2066
01:43:25,293 --> 01:43:31,093
Speaker 15: understand that. And he said, do your fly up? And

2067
01:43:31,173 --> 01:43:33,933
Speaker 15: those were the last words I heard him say.

2068
01:43:34,173 --> 01:43:35,293
Speaker 3: It was good advice, Colin.

2069
01:43:38,853 --> 01:43:39,612
Speaker 15: Yes, here we go.

2070
01:43:39,772 --> 01:43:42,973
Speaker 3: And if you inserted more meaning into that, it is it.

2071
01:43:43,412 --> 01:43:43,932
Speaker 13: Not at all.

2072
01:43:43,973 --> 01:43:45,732
Speaker 15: It was sort of a sort of a silly saying

2073
01:43:45,812 --> 01:43:48,612
Speaker 15: we said over the years we were leaving a room

2074
01:43:48,692 --> 01:43:49,052
Speaker 15: or something.

2075
01:43:49,973 --> 01:43:52,612
Speaker 3: So that's really nice. Thanks for sharing, Colin, Yeah, thank

2076
01:43:52,652 --> 01:43:55,173
Speaker 3: you very much. One hundred and eighty ten eighty is

2077
01:43:55,173 --> 01:43:55,892
Speaker 3: the number to call.

2078
01:43:56,173 --> 01:43:59,532
Speaker 2: My mum said just before she died, I hope you

2079
01:43:59,612 --> 01:44:02,253
Speaker 2: six kids have your dad's jeans because his family lived

2080
01:44:02,253 --> 01:44:03,212
Speaker 2: longer than mine.

2081
01:44:03,492 --> 01:44:07,333
Speaker 3: Well that's good. Last words, It is twenty one two four.

2082
01:44:08,013 --> 01:44:10,253
Speaker 3: Last words. What were the last words you heard from

2083
01:44:10,452 --> 01:44:12,492
Speaker 3: a family member? Or have you thought about your own

2084
01:44:12,532 --> 01:44:14,452
Speaker 3: last words? What you'd like to say at the end,

2085
01:44:15,213 --> 01:44:16,692
Speaker 3: really keen to hear from you? The phones of lit

2086
01:44:16,732 --> 01:44:18,452
Speaker 3: up by eight hundred and eighty ten eighty is the

2087
01:44:18,532 --> 01:44:19,133
Speaker 3: number to cook.

2088
01:44:20,053 --> 01:44:22,372
Speaker 1: Have a chat with the lads on eight hundred and

2089
01:44:22,412 --> 01:44:26,372
Speaker 1: eighty ten eighty mad Heathan Taylor Adams afternoons used talks

2090
01:44:26,372 --> 01:44:26,812
Speaker 1: they'd be.

2091
01:44:27,053 --> 01:44:28,812
Speaker 3: It is eighteen two four.

2092
01:44:29,213 --> 01:44:32,213
Speaker 2: Hi, guys, my wife had cancer. I just picked her

2093
01:44:32,293 --> 01:44:35,612
Speaker 2: up to help her go to the toilet. She looked

2094
01:44:35,612 --> 01:44:37,692
Speaker 2: at me while I was holding her and I said,

2095
01:44:37,933 --> 01:44:40,213
Speaker 2: I love you, Han, And she died right in front

2096
01:44:40,253 --> 01:44:42,692
Speaker 2: of me. She was forty four years old. She died

2097
01:44:42,732 --> 01:44:44,932
Speaker 2: a week before Christmas. Sadly, my six year old son

2098
01:44:44,973 --> 01:44:46,852
Speaker 2: and nine year old daughter didn't get to say their

2099
01:44:46,853 --> 01:44:49,293
Speaker 2: final goodbyas to their mum. Last year, I had a

2100
01:44:49,293 --> 01:44:53,053
Speaker 2: cardiac arrest and was clinically dead for seventeen minutes. I

2101
01:44:53,133 --> 01:44:55,173
Speaker 2: woke up five days later out of a coma at

2102
01:44:55,213 --> 01:44:58,452
Speaker 2: christ Church Hospital. So my kids were nearly orphans. My

2103
01:44:58,572 --> 01:45:01,772
Speaker 2: last words would be, don't take life too seriously, enjoy

2104
01:45:01,812 --> 01:45:05,253
Speaker 2: your life, be kind, appreciate your friends, put on your

2105
01:45:05,253 --> 01:45:09,253
Speaker 2: oxygen mask first. Always, don't waste money on my funeral.

2106
01:45:09,772 --> 01:45:12,372
Speaker 3: Great last words a man that texture has been through

2107
01:45:12,412 --> 01:45:12,852
Speaker 3: some stuff.

2108
01:45:13,133 --> 01:45:15,732
Speaker 2: The last words our son said to his father were,

2109
01:45:16,173 --> 01:45:17,333
Speaker 2: I'm proud to be your son.

2110
01:45:18,013 --> 01:45:22,692
Speaker 3: Regards Anna. Oh, that is making me tear up, Peter,

2111
01:45:22,812 --> 01:45:27,133
Speaker 3: welcome to the show. Hello, How are you very good? Peter?

2112
01:45:28,133 --> 01:45:32,173
Speaker 4: Okay, yes, it's talk good. My father who died when

2113
01:45:32,213 --> 01:45:34,893
Speaker 4: he's eighty five, he was a really good father and

2114
01:45:34,933 --> 01:45:39,572
Speaker 4: a really honest good man, and anyway, as an atheist

2115
01:45:39,853 --> 01:45:42,692
Speaker 4: all his life and the rest of us were believed

2116
01:45:42,732 --> 01:45:45,892
Speaker 4: in something and had discussing and all the rest of it. Anyway,

2117
01:45:47,053 --> 01:45:51,772
Speaker 4: when he died, the last word he says was I've

2118
01:45:51,772 --> 01:45:53,972
Speaker 4: paid for my holiday. I can go home now.

2119
01:45:55,253 --> 01:45:57,173
Speaker 3: I've paid for my holiday. I can go home now.

2120
01:45:58,213 --> 01:46:02,692
Speaker 3: Very insightful, Peter. Yeah, And what did you say here

2121
01:46:02,692 --> 01:46:02,892
Speaker 3: in that?

2122
01:46:05,532 --> 01:46:07,093
Speaker 4: My mother and I just looked at the show and

2123
01:46:09,973 --> 01:46:12,732
Speaker 4: he went but we just looked at these others on health.

2124
01:46:14,372 --> 01:46:21,732
Speaker 3: He knows, Yeah, beautiful, Just quickly just mentioning last words

2125
01:46:21,772 --> 01:46:25,253
Speaker 3: and before I came up here to take on this job.

2126
01:46:25,412 --> 01:46:28,492
Speaker 3: My grandfather was quite a lot hospital, and went up

2127
01:46:28,492 --> 01:46:32,333
Speaker 3: to see him quite a bit and lovely couple of visits,

2128
01:46:32,412 --> 01:46:34,293
Speaker 3: and he mentioned, you know, he was very proud of

2129
01:46:34,293 --> 01:46:35,772
Speaker 3: of the fact that I'd got this job and was

2130
01:46:35,812 --> 01:46:38,133
Speaker 3: coming up to Auckland, but he was very stoic and

2131
01:46:38,532 --> 01:46:40,612
Speaker 3: we didn't really say too much. I knew he loved me,

2132
01:46:40,652 --> 01:46:41,973
Speaker 3: but we never really said it. So I made an

2133
01:46:42,013 --> 01:46:43,732
Speaker 3: effort to say, you know, I love your granddad, but

2134
01:46:43,772 --> 01:46:46,093
Speaker 3: I just remember, and he was so stok about it

2135
01:46:46,133 --> 01:46:48,093
Speaker 3: and what was going on. But as I was leaving,

2136
01:46:48,093 --> 01:46:50,612
Speaker 3: and he just turned around and he said, you know,

2137
01:46:50,652 --> 01:46:54,812
Speaker 3: I'm ready, And I didn't know how to respond to that.

2138
01:46:55,173 --> 01:46:57,773
Speaker 3: I think in the end I said, I know, Granddad

2139
01:46:58,973 --> 01:47:01,652
Speaker 3: and walked out. But the very fact that he was

2140
01:47:01,772 --> 01:47:04,492
Speaker 3: just ready, he was tired. It was his time. He'd

2141
01:47:04,532 --> 01:47:07,013
Speaker 3: come to accept it, even if I hadn't, and my

2142
01:47:07,093 --> 01:47:10,173
Speaker 3: mom and his kids didn't accept that. But that was

2143
01:47:10,213 --> 01:47:10,852
Speaker 3: a hell of a thing.

2144
01:47:11,133 --> 01:47:16,093
Speaker 2: And attempting to make it easier for you, yeah, because

2145
01:47:16,093 --> 01:47:16,972
Speaker 2: he's saying, you know.

2146
01:47:16,973 --> 01:47:18,372
Speaker 3: I think he was because he could see I was

2147
01:47:18,372 --> 01:47:20,893
Speaker 3: struggling and I didn't know really what to say to

2148
01:47:20,973 --> 01:47:22,772
Speaker 3: him apart from you know, I love your granddad and

2149
01:47:22,812 --> 01:47:24,692
Speaker 3: I know you love me. Because he was such a

2150
01:47:24,732 --> 01:47:26,973
Speaker 3: stoic guy, he always knew that was there, but I

2151
01:47:27,213 --> 01:47:29,852
Speaker 3: was I was struggling with what do I say here

2152
01:47:29,853 --> 01:47:31,852
Speaker 3: because I know the end is coming soon, and so

2153
01:47:31,933 --> 01:47:33,973
Speaker 3: it was you know, I'm ready. Yeah, And there was

2154
01:47:33,973 --> 01:47:37,612
Speaker 3: a lot of confident in that, wow, because I generally thought, well,

2155
01:47:37,652 --> 01:47:38,372
Speaker 3: it's nice.

2156
01:47:38,213 --> 01:47:42,492
Speaker 2: To know that, and you know, I mean, God forbid

2157
01:47:42,532 --> 01:47:45,772
Speaker 2: the other you know, someone saying I'm not ready to go, yeah,

2158
01:47:45,853 --> 01:47:47,772
Speaker 2: that would be a lot always worry that that's how

2159
01:47:47,772 --> 01:47:48,213
Speaker 2: they feel.

2160
01:47:48,213 --> 01:47:51,293
Speaker 3: But you know, I'm ready. Yeah. There was a lot

2161
01:47:51,333 --> 01:47:54,012
Speaker 3: of comfort in that. Absolutely. Yeah.

2162
01:47:54,053 --> 01:47:56,933
Speaker 2: It was seventeenth July, the day before my birthday, and

2163
01:47:57,013 --> 01:47:59,253
Speaker 2: my father was ringing me and I didn't normally answer

2164
01:47:59,253 --> 01:48:00,972
Speaker 2: the phone because he was a bit of an alcoholic

2165
01:48:00,973 --> 01:48:03,412
Speaker 2: and we always used to argue. However, I answer the

2166
01:48:03,452 --> 01:48:06,572
Speaker 2: phone and he was completely sober, which really surprised me. However,

2167
01:48:06,933 --> 01:48:08,852
Speaker 2: he did say at the end of the conversation, I

2168
01:48:08,933 --> 01:48:12,013
Speaker 2: love you, and he didn't ever say that to me

2169
01:48:12,093 --> 01:48:15,372
Speaker 2: and his whole life, and it was something special. And

2170
01:48:15,452 --> 01:48:17,892
Speaker 2: about forty minutes later, I got the call from my

2171
01:48:17,893 --> 01:48:21,133
Speaker 2: eldest brother that he had passed, so something I'll never forget,

2172
01:48:21,253 --> 01:48:22,692
Speaker 2: especially the day before my birthday.

2173
01:48:23,372 --> 01:48:27,652
Speaker 3: That is a lot. Sam. How are you this afternoon?

2174
01:48:28,812 --> 01:48:30,572
Speaker 15: Oh fantastic mate yourself?

2175
01:48:30,732 --> 01:48:32,652
Speaker 3: Yeah? Pretty good, mate, pretty good. But keen to hear

2176
01:48:32,692 --> 01:48:34,372
Speaker 3: your story?

2177
01:48:34,612 --> 01:48:37,692
Speaker 15: Well, I'll never forget the last thing my grandfather said

2178
01:48:37,692 --> 01:48:38,812
Speaker 15: to me before he died.

2179
01:48:41,772 --> 01:48:43,333
Speaker 3: Yep, will are you still hold?

2180
01:48:43,893 --> 01:48:45,452
Speaker 18: Are you still holding the ladder?

2181
01:48:49,053 --> 01:48:51,812
Speaker 3: That's very good, Sam, very good. That's good from you, Sam,

2182
01:48:51,853 --> 01:48:54,692
Speaker 3: That is good stuff. This text to here says my

2183
01:48:54,772 --> 01:48:57,932
Speaker 3: final words will be please clear my history smart. Yeah,

2184
01:48:57,973 --> 01:49:02,892
Speaker 3: there's a lot of strategy into that. Gordon, Hello, how

2185
01:49:02,893 --> 01:49:03,213
Speaker 3: are you?

2186
01:49:03,372 --> 01:49:03,612
Speaker 9: Yeah?

2187
01:49:03,692 --> 01:49:05,372
Speaker 3: Very good? Can you hear the last word?

2188
01:49:06,492 --> 01:49:09,692
Speaker 5: Yeah? Well I never got the chance to say, you've

2189
01:49:09,732 --> 01:49:14,412
Speaker 5: got asked as either of my parents they both passed away.

2190
01:49:15,333 --> 01:49:18,612
Speaker 5: My mother passed away very suddenly and I couldn't get

2191
01:49:18,612 --> 01:49:22,053
Speaker 5: to be father to ant say his last birds to him.

2192
01:49:23,053 --> 01:49:27,492
Speaker 5: But at eleven o'clock to day I had to let

2193
01:49:27,532 --> 01:49:34,412
Speaker 5: my one of my very best friends go today. He

2194
01:49:34,532 --> 01:49:38,173
Speaker 5: was a little Spaniel dog which has been with me

2195
01:49:38,293 --> 01:49:40,852
Speaker 5: for nine years. He came to work with me for

2196
01:49:40,933 --> 01:49:46,452
Speaker 5: seven years and I just said, you've been the best mate,

2197
01:49:46,652 --> 01:49:48,532
Speaker 5: I've ever had, apart from.

2198
01:49:48,452 --> 01:49:52,652
Speaker 3: My wife mate. That's beautiful. I mean, you're right when

2199
01:49:53,492 --> 01:49:55,612
Speaker 3: you lose a pet like a dog and you say

2200
01:49:55,853 --> 01:49:57,973
Speaker 3: your best mate, they certainly are, you know, man and

2201
01:49:58,053 --> 01:50:01,812
Speaker 3: woman's best friends. It's a beautiful, beautiful thing to say

2202
01:50:01,812 --> 01:50:02,692
Speaker 3: to your beloved pooch.

2203
01:50:03,732 --> 01:50:06,092
Speaker 5: Yeah, And I was at eleven o'clock. I passed eleven

2204
01:50:06,213 --> 01:50:08,612
Speaker 5: this morning, and the beauty weary am I. He's as

2205
01:50:08,652 --> 01:50:11,572
Speaker 5: big as all my life and doses. And he used

2206
01:50:11,612 --> 01:50:13,732
Speaker 5: to come to work with me every day of the

2207
01:50:13,772 --> 01:50:16,093
Speaker 5: week and he would sit on the bonnet of the

2208
01:50:16,173 --> 01:50:19,093
Speaker 5: Bigger and he's in his bed and he had just

2209
01:50:19,133 --> 01:50:21,213
Speaker 5: sit there all day and go round and round and

2210
01:50:21,253 --> 01:50:24,013
Speaker 5: load and unload and do whatever I was doing. And

2211
01:50:24,053 --> 01:50:26,972
Speaker 5: he just sat there, but a wed, fine ale sony

2212
01:50:27,093 --> 01:50:28,532
Speaker 5: just sat on the bonnet of the bigger.

2213
01:50:29,133 --> 01:50:31,213
Speaker 3: We'll be thanks for you.

2214
01:50:31,293 --> 01:50:34,612
Speaker 2: Call Gordon and all the best tomorrow. This Texas says

2215
01:50:34,692 --> 01:50:37,253
Speaker 2: is the thirty fifth anniversary of my dad's passing. Not

2216
01:50:37,293 --> 01:50:41,253
Speaker 2: a very talkative man, he wasn't talking, but he took

2217
01:50:41,293 --> 01:50:44,333
Speaker 2: my hand, looked me in the eye and kissed my fingers,

2218
01:50:44,452 --> 01:50:46,772
Speaker 2: no words necessary. I still cry when I think of

2219
01:50:46,812 --> 01:50:48,173
Speaker 2: this loving moment. That's from Heather.

2220
01:50:48,213 --> 01:50:51,572
Speaker 3: Oh that's really beautiful, all right. It is eleven minutes

2221
01:50:51,612 --> 01:50:54,133
Speaker 3: to four, will be back very shortly. Oh, eight hundred

2222
01:50:54,133 --> 01:50:55,293
Speaker 3: and eighty. Ten eighty is the number.

2223
01:50:55,372 --> 01:50:59,213
Speaker 1: Call the big stories, the big issues, to the big

2224
01:50:59,253 --> 01:51:02,852
Speaker 1: trends and everything in between. Matt Heath and Tyler Adams

2225
01:51:02,893 --> 01:51:04,693
Speaker 1: afternoons News Talks.

2226
01:51:04,572 --> 01:51:08,293
Speaker 3: B, News Talks There B. It is nine to four, Hey, guys,

2227
01:51:08,412 --> 01:51:09,092
Speaker 3: not last words.

2228
01:51:09,093 --> 01:51:11,692
Speaker 2: But when my dad passed away, I wasn't around and

2229
01:51:11,732 --> 01:51:13,532
Speaker 2: hadn't seen him for about a month or two. When

2230
01:51:13,572 --> 01:51:15,333
Speaker 2: I got to his house on the day, he was

2231
01:51:15,412 --> 01:51:17,932
Speaker 2: lying on the bed and had been there for about

2232
01:51:17,973 --> 01:51:19,933
Speaker 2: three hours before I got to the house. When I

2233
01:51:20,013 --> 01:51:22,852
Speaker 2: kissed him on his forehead as a last goodbye, he

2234
01:51:22,933 --> 01:51:24,132
Speaker 2: let out his last breath.

2235
01:51:24,173 --> 01:51:24,532
Speaker 3: Wow.

2236
01:51:24,692 --> 01:51:26,732
Speaker 2: That's huge, Linda, Welcome to the show.

2237
01:51:27,973 --> 01:51:28,333
Speaker 11: Ye Hi.

2238
01:51:30,253 --> 01:51:33,173
Speaker 19: My sisters rung me from the hospital when my mum

2239
01:51:33,293 --> 01:51:38,492
Speaker 19: was passing and she was actually just going unconscious. So

2240
01:51:38,572 --> 01:51:41,972
Speaker 19: my last word to her, well her last wounds to me, actually,

2241
01:51:42,572 --> 01:51:45,932
Speaker 19: we thank you so much all the outings we had,

2242
01:51:46,652 --> 01:51:49,213
Speaker 19: and then she said, and I'll see you again.

2243
01:51:50,412 --> 01:51:54,213
Speaker 3: It's really lovely. So the eltingly Yeah, the old thing

2244
01:51:54,333 --> 01:51:56,973
Speaker 3: she was talking about was that towards the inlander or

2245
01:51:57,053 --> 01:51:58,812
Speaker 3: is that through.

2246
01:51:59,013 --> 01:52:02,692
Speaker 19: About three days before so she went unconscious after them

2247
01:52:02,772 --> 01:52:03,692
Speaker 19: so there was no talking.

2248
01:52:04,173 --> 01:52:06,972
Speaker 3: Wow, what a great story, Linda. Yeah.

2249
01:52:07,013 --> 01:52:09,092
Speaker 2: I mean if you can go out things thinking people

2250
01:52:09,253 --> 01:52:13,252
Speaker 2: were thanking the person that's with you, that's pretty meaningful. Absolutely,

2251
01:52:13,253 --> 01:52:15,972
Speaker 2: it will definitely affect the person for a very long time.

2252
01:52:16,013 --> 01:52:18,253
Speaker 2: If the last thing you say to them is thank you, it's.

2253
01:52:18,133 --> 01:52:18,812
Speaker 3: A lot of comfort.

2254
01:52:18,893 --> 01:52:22,053
Speaker 2: Yeah, Owen, you want to have a chat about your

2255
01:52:22,093 --> 01:52:22,972
Speaker 2: UM's last words.

2256
01:52:23,572 --> 01:52:27,412
Speaker 9: Yeah, I had a pretty unfortunate twenty twenty four. I

2257
01:52:27,492 --> 01:52:30,173
Speaker 9: had Dad passed away in the month of May on

2258
01:52:30,293 --> 01:52:33,173
Speaker 9: the first of May, and then my mum followed on

2259
01:52:33,293 --> 01:52:37,852
Speaker 9: about the twenty second of May, and Dad went to

2260
01:52:37,933 --> 01:52:41,532
Speaker 9: make it right for mon. Dad was a bit older

2261
01:52:41,572 --> 01:52:44,452
Speaker 9: than mum by ten years, and Mum was battlings he

2262
01:52:44,492 --> 01:52:48,052
Speaker 9: OPD and Dad had dementia. So Dad, crue to form,

2263
01:52:48,612 --> 01:52:51,093
Speaker 9: snuck away, got up, had breakfast, and then went back

2264
01:52:51,133 --> 01:52:53,772
Speaker 9: to bed and passed away. But they were both in

2265
01:52:53,812 --> 01:52:56,732
Speaker 9: the same hospital level care wristone for the last six

2266
01:52:56,772 --> 01:52:59,892
Speaker 9: months of their life, so that was really awesome. But yeah,

2267
01:53:00,053 --> 01:53:02,532
Speaker 9: after he had passed, Mum told me she didn't want

2268
01:53:02,572 --> 01:53:05,973
Speaker 9: to stay at the rists only longer by herself, and

2269
01:53:06,053 --> 01:53:09,293
Speaker 9: she sort of did all that is. The funeral director

2270
01:53:09,452 --> 01:53:13,412
Speaker 9: was there to pick up Dad and she got chooser

2271
01:53:13,532 --> 01:53:15,812
Speaker 9: font and everything on the headstone. It was all of

2272
01:53:15,893 --> 01:53:19,532
Speaker 9: that's surreal. There was even a couple of fantails that

2273
01:53:19,612 --> 01:53:22,772
Speaker 9: flew into the rest homes lounge while that was all happening.

2274
01:53:23,933 --> 01:53:26,572
Speaker 9: They had a bit of Murray blood, so that was

2275
01:53:26,612 --> 01:53:30,812
Speaker 9: definitely got merit in that. But the mum's last words

2276
01:53:30,853 --> 01:53:32,772
Speaker 9: when we got it to the hospital, she ended up

2277
01:53:32,812 --> 01:53:36,852
Speaker 9: with a urinary tract infection and basically her organs started

2278
01:53:36,893 --> 01:53:39,972
Speaker 9: to shut down. And she'd been battling COPD for twenty

2279
01:53:40,013 --> 01:53:43,333
Speaker 9: odd years, so as the organs were shutting down, but

2280
01:53:44,372 --> 01:53:46,772
Speaker 9: with about two hours to go, and it was a

2281
01:53:46,772 --> 01:53:49,533
Speaker 9: big full moon in the night she went. She basically

2282
01:53:49,612 --> 01:53:51,972
Speaker 9: just said to me, is this the end of the road?

2283
01:53:53,732 --> 01:53:57,253
Speaker 9: And that was a real heavy one to have to answer.

2284
01:53:58,612 --> 01:54:00,852
Speaker 9: Get put on spot there and all I could say

2285
01:54:00,893 --> 01:54:04,372
Speaker 9: back was now, you've been here many times, that's fighted again.

2286
01:54:04,572 --> 01:54:10,772
Speaker 9: But once the organs, well multiple organs started shutting down,

2287
01:54:12,093 --> 01:54:17,372
Speaker 9: the doctors yeah.

2288
01:54:16,612 --> 01:54:19,093
Speaker 3: Well, Owen, thank you very much, And that is a

2289
01:54:19,093 --> 01:54:21,852
Speaker 3: tough situation to be but you obviously provided comfort to

2290
01:54:21,893 --> 01:54:24,013
Speaker 3: your mum in those final moments. So you're a great man.

2291
01:54:24,093 --> 01:54:24,892
Speaker 3: Thank you very much.

2292
01:54:25,692 --> 01:54:27,852
Speaker 2: This Texas here my son's last words before we went

2293
01:54:27,893 --> 01:54:30,812
Speaker 2: into his coma and passed away. Where it's my mum.

2294
01:54:31,452 --> 01:54:32,973
Speaker 2: I was in such a rush to get into the

2295
01:54:33,053 --> 01:54:37,253
Speaker 2: room he was with the nurse that I didn't hear it.

2296
01:54:37,613 --> 01:54:39,573
Speaker 2: My other son told me it, and I have those

2297
01:54:39,573 --> 01:54:41,173
Speaker 2: words tattooed on my arm.

2298
01:54:41,293 --> 01:54:44,093
Speaker 3: All right, all right, thank you very much everyone who

2299
01:54:44,093 --> 01:54:48,333
Speaker 3: texted and called. That was a deep but really really

2300
01:54:48,333 --> 01:54:51,573
Speaker 3: beautiful conversation and it puts a lot of things into perspective.

2301
01:54:51,693 --> 01:54:54,453
Speaker 2: It certainly does. Thank you so much for listening everyone,

2302
01:54:54,893 --> 01:54:57,053
Speaker 2: love the chat today. Thank you for sharing, especially that

2303
01:54:57,133 --> 01:55:00,973
Speaker 2: last hour. Some deep stuff there. Jeez, so grateful for

2304
01:55:01,093 --> 01:55:05,813
Speaker 2: all your calls and text Our podcasts will be available

2305
01:55:06,493 --> 01:55:10,533
Speaker 2: in about and now. Our the great and Powerful Paul

2306
01:55:10,573 --> 01:55:11,933
Speaker 2: Holmes Broadcast.

2307
01:55:11,493 --> 01:55:11,772
Speaker 14: Of the Year.

2308
01:55:11,772 --> 01:55:17,012
Speaker 2: Heather Dupe, Sellen dup c Allen is up next. But Tyler,

2309
01:55:17,133 --> 01:55:20,373
Speaker 2: my good friend, Yes, why am I playing the song here?

2310
01:55:20,893 --> 01:55:24,693
Speaker 3: This is Neil Young. Now forgive me, I don't actually

2311
01:55:24,693 --> 01:55:26,613
Speaker 3: know the name of the title. When I tell you

2312
01:55:26,653 --> 01:55:28,573
Speaker 3: it'll give the whole thing away. Well, please hear me,

2313
01:55:28,653 --> 01:55:31,333
Speaker 3: give me the first two words of it, the needle

2314
01:55:31,653 --> 01:55:34,653
Speaker 3: of course. Right. So it was about the fantastic chat

2315
01:55:34,693 --> 01:55:37,813
Speaker 3: we had on drugs in the New Zealand Drug Foundation

2316
01:55:38,253 --> 01:55:41,213
Speaker 3: wanting to decriminalize drugs across the board.

2317
01:55:41,653 --> 01:55:44,812
Speaker 2: Yeah, that's exactly right, well done, nailed it all right.

2318
01:55:46,093 --> 01:55:48,892
Speaker 3: Until tomorrow afternoon, I give a taste of Kiwi from

2319
01:55:49,013 --> 01:55:51,893
Speaker 3: US and I'm going to go and I'm grab a

2320
01:55:51,893 --> 01:55:56,892
Speaker 3: tissue and I'm not crying. You are I'm certainly crying.

2321
01:55:57,653 --> 01:56:26,852
Speaker 1: I love you all, Matt Heath and Tyler Adams. For

2322
01:56:26,973 --> 01:56:29,733
Speaker 1: more from Used Talk set B listen live on air

2323
01:56:29,893 --> 01:56:32,613
Speaker 1: or online, and keep our shows with you wherever you

2324
01:56:32,653 --> 01:56:35,093
Speaker 1: go with our podcasts on iHeartRadio