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Speaker 1: You're listening to a podcast from News Talks'd be follow

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Speaker 1: this and our Wide Ranger podcast now on iHeartRadio.

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Speaker 2: Hello you great new centers, and welcome to the Mattin

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Speaker 2: Tyler Afternoons podcast for the I'm gonna say What is

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Speaker 2: the date today?

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Speaker 3: Funny you mentioned that because you started a generational war

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Speaker 3: where you had to go at millennials for not being

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Speaker 3: able to tell them both of no Vember.

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Speaker 2: It was an amazing show today we had a huge

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Speaker 2: chat about intergenerational warfare with Australian employees having a go

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Speaker 2: at gen Z saying that they had too many demands.

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Speaker 2: And then gen X came in, gen Y came in.

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Speaker 3: Is there a gen y?

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Speaker 2: Is there a gen y?

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Speaker 4: Yeah?

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Speaker 2: Yeah, they didn't really come in. The boomers came in

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Speaker 2: and it was a fantastic chat and I think we

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Speaker 2: landed on kids have always been a bit rubbish some

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Speaker 2: of them and some of them are amazing. And then

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Speaker 2: Boy Tyler, what an emotional chat we had about the dolls.

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Speaker 3: Oh that was a roller coaster, wasn't it?

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Speaker 4: Off?

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Speaker 3: Talking about do we love dogs too much? And apparently,

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Speaker 3: according to a psychologist, we do love them almost as

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Speaker 3: much as our children. That's what we thought.

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Speaker 2: Yeah, but boy, oh boy, when the rubber hit the

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Speaker 2: road between your kids and your dog, Well, listen out

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Speaker 2: and you'll hear some pretty emotional stories. So give it

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Speaker 2: a listen, you said, Basil, Let you go give them

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Speaker 2: a taste A KEEPI from me.

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Speaker 1: Talking with you all afternoon It's Matt Heath and Taylor Adams. Afternoon,

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Speaker 1: it's you for twenty twenty four News Talk ZIBB.

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Speaker 3: Well, get a welcome into the show Tuesday. Feeling good, match.

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Speaker 2: Feeling amazing. As I said, as I said to you before, Tyler,

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Speaker 2: I've had a great sleep. I absolutely sleeped the living

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Speaker 2: but Jesus out of my bed last night. I was

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Speaker 2: sleeping so well. I knew in my sleep that I

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Speaker 2: was having a great sleep.

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Speaker 3: It is a good sleep.

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Speaker 2: I'm a sleeping champion. I'm going to become the best

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Speaker 2: sleeper in New Zealand.

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Speaker 3: How many hours you reckon?

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Speaker 5: You go?

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Speaker 2: I reckon?

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Speaker 6: Nah?

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Speaker 4: Eight?

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Speaker 2: Well you're an early.

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Speaker 3: Riser as well, won't you're out of bed by four thirty?

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Speaker 2: Yeah, I'm an early raiser, but love a good sleep,

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Speaker 2: so I'm one hundred percent. So if I say anything

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Speaker 2: stupid on the radio today, it's or my fault. I

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Speaker 2: can't blame it on tiredness. It's just on me this

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Speaker 2: show and my performance is on me today.

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Speaker 3: Yeah, good, right, onto the show today after three thirty,

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Speaker 3: we want to talk about standing disc This was a

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Speaker 3: massive trend a couple of years ago. Everybody wanted a

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Speaker 3: standing disk because we were told sitting is bad for

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Speaker 3: your house, so you've got to stand up for eight

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Speaker 3: hours during the day.

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Speaker 2: Turns out a load of rubbish. Yeah, so the health

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Speaker 2: benefits just didn't come. I've seen a lot of standing

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Speaker 2: desk people in my time, and I feel like they

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Speaker 2: become isolated from the rest of the office. It looks weird.

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Speaker 2: You become isolated, and I've seen them become increasingly miserable.

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Speaker 2: And then if they have one of those ones that's transformable,

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Speaker 2: that goes to standing them back again very quickly, it

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Speaker 2: ends up in the in the down position.

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Speaker 4: Yeah.

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Speaker 3: Do you think they have to There's a bit of

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Speaker 3: stubbornness there that once they asked the boss for a

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Speaker 3: standing disk, through how high water, they have to keep

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Speaker 3: standing no matter what, even if those legs are hurting,

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Speaker 3: you got to keep standing them.

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Speaker 2: In a year at least of standing but someone like

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Speaker 2: me that worked so much, so much hospo and retail

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Speaker 2: in my life. When I finally got to a desk,

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Speaker 2: there was no way I was standing it again, standing

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Speaker 2: behind a counter or standing behind a bar as that's

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Speaker 2: the bit that really gets you. You just desperately want

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Speaker 2: to sit down.

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Speaker 3: Yeah, that's after three point thirty, after three o'clock.

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Speaker 2: Yes, so we also might be looking a little bit

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Speaker 2: having a little bit of a sniff around dogs. And

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Speaker 2: that sounds wrong. I didn't get enough sleep last night.

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Speaker 2: I'm too tired.

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Speaker 7: Now.

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Speaker 2: A new studies found that we love our dogs as

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Speaker 2: much as we love our children, or the parts of

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Speaker 2: the brain where we show love for our children fire

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Speaker 2: up the same way for dogs. So is that true?

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Speaker 2: Do you love your dog as much as you love

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Speaker 2: your kids? What would you do for your dog? I

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Speaker 2: would do a lot for my dog. I think I

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Speaker 2: put my my It's almost like I've got three kids.

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Speaker 2: Bad dog. Yeah, my dog is always with my kids.

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Speaker 2: They operate together, ass and I boy, I have a

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Speaker 2: ridiculous amount of love with my dog. My dog is

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Speaker 2: just my dog, Colin. He's just the best of us.

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Speaker 2: He's a good boy.

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Speaker 3: He's a good boy.

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Speaker 2: Who's a good boy. If you're listening, Colin, I leave

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Speaker 2: the radio on from You're a good boy, Colin, you're

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Speaker 2: a good boy.

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Speaker 3: I can see his little tail weight right now. But

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Speaker 3: that's the chat after three o'clock. After two o'clock, a

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Speaker 3: good advice Colin. In the Herald today, a person who

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Speaker 3: goes unnamed, as they often are in these columns, is

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Speaker 3: in a bit of strife in terms of lending money

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Speaker 3: to his friend who's in a bad situation. But the

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Speaker 3: question we're going to put to you after two o'clock

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Speaker 3: is it ever wise to lend a friend money, particularly

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Speaker 3: if you think it might not be getting paid back.

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Speaker 2: Yeah, I mean that's a tough one. I have lent

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Speaker 2: friends money in the past, and have recently lent a

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Speaker 2: friends of money. I think if you can help, you should,

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Speaker 2: But lending money to someone when it's not helping them,

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Speaker 2: say they've got a terrible addiction or something, you can

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Speaker 2: see the money making their life worse than that's not

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Speaker 2: good and or see, you've got to be a If

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Speaker 2: you lend the money you can't, then you've got I

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Speaker 2: guess you've got to accept that it might not come back,

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Speaker 2: because because the resentment of lending someone money and they

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Speaker 2: don't pay it back can rap a friendship apart.

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Speaker 3: Yeah, and you never want to ask for it. Right

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Speaker 3: If you lend someone a friend money, you don't want

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Speaker 3: to be the one coming to them and saying, hey

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Speaker 3: about that money. I lench you when you're going to

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Speaker 3: pay it back?

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Speaker 2: That's awful. Yeah, that's right. So I don't know. Maybe

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Speaker 2: giving money is a better option than lending money.

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Speaker 3: That nicely said. That's after two o'clock because right now.

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Speaker 2: Yeah, recruiters in Australia have spoken out about gen Z

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Speaker 2: grads demanding too much of their employers. Look, when you

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Speaker 2: start a job, this is my opinion on it, right,

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Speaker 2: and people won't disagree with this, but I think the

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Speaker 2: best approach when you start a new job isn't to

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Speaker 2: make demands, but to work really hard, prove your worth,

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Speaker 2: move up and then make the changes in demands when

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Speaker 2: you know the business and you've proven that you're valuable

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Speaker 2: to the business. You don't help yourself by being a

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Speaker 2: problem and not a solution. It sounds like corporate speak,

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Speaker 2: but you know, I'd like to hear from employers and managers.

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Speaker 2: What do you honestly think of employers who come on

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Speaker 2: board and make demands and those that even make demands

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Speaker 2: and interviews as this study is talking about gen zs

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Speaker 2: and new employers in general. If you start a new job,

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Speaker 2: how do you think it's going to play out for you?

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Speaker 2: If you make these demands? What do you think is

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Speaker 2: going to happen if you come into a workplace, demand

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Speaker 2: to work from home, demand to change things up. It

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Speaker 2: seems to me if you give more than you take

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Speaker 2: from a company, you are much more likely to be

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Speaker 2: rewarded with proportion and opportunity. And if you're demanding and

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Speaker 2: difficult and take more than you give, then that becomes

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Speaker 2: less likely. So I guess you've got to ask yourself

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Speaker 2: what you want out of the job. If you're just

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Speaker 2: trying to be there for a year and get paid

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Speaker 2: and then maybe make a whole lot of demands and

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Speaker 2: then move on, if that might be your strategy, But

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Speaker 2: if you actually want to go somewhere and move up,

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Speaker 2: then I would say working hard and not making dimnity

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Speaker 2: demands is the way to go.

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Speaker 3: Yeah. I agree. When you're studying off in your career,

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Speaker 3: you want to be a proper solver as much as possible.

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Speaker 3: You make those above you the life their life as

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Speaker 3: easy as possible. They'd say, you get ahead.

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Speaker 2: That's an old school approach, but in my experience, employers

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Speaker 2: and managers often get really excited by hard workers. Yeah,

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Speaker 2: I could be wrong. I would love to hear from

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Speaker 2: both sides on this, employers, employers and employees. What are

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Speaker 2: you looking for an easy ride or a path to success?

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Speaker 4: Yeah?

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Speaker 2: And I mean there was definitely managers out there and

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Speaker 2: employers that aren't helping people and aren't looking for people

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Speaker 2: to move up. There's ones that scratch back. But you're

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Speaker 2: definitely not going to move up and make your position

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Speaker 2: better if you're difficult and demanding that. I think that

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Speaker 2: that then goes is off the table for you. You're

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Speaker 2: just in the place you're in for it until they

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Speaker 2: replace you with someone else.

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Speaker 3: I think post COVID, we made a mistake about the

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Speaker 3: old working from home flexibility. That was all fine when

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Speaker 3: we head to them. We couldn't actually go into the workplace.

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Speaker 3: But this idea of the four day where you can

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Speaker 3: perpetual guardian and that promote and it's a brave new world.

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Speaker 3: I mean, that was all exciting and it sounded good,

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Speaker 3: but now We're three years down the track and it's

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Speaker 3: not working. And I think new employers employees rather are

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Speaker 3: coming to the workforce and say, well, why can't we

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Speaker 3: have that?

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Speaker 2: Yeah, this is one of the demand's most common demands

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Speaker 2: that's talked about in the study of flexibility about working

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Speaker 2: and look, that would be great, but there's something you've

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Speaker 2: got to realize of that if you don't make a

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Speaker 2: personal relationship with your working the people you work with,

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Speaker 2: then you are way less likely to be promoted and

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Speaker 2: you are the first person to go if that, If

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Speaker 2: that's an opportunity, and as I've said on the show before,

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Speaker 2: if you can outsource yourself to Rickoton, then just being

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Speaker 2: topical or any given suburb other than going to the office,

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Speaker 2: then they can outsource you to Mumbai.

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Speaker 3: Yeah, yep, nice, he said. Oh eight, one hundred and

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Speaker 3: eighty ten eighty is the number to call love to

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Speaker 3: hear your thoughts on this, particularly if you're an employer.

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Speaker 3: Nine to nine till it is the text number. It's

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Speaker 3: fourteen past one.

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

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Speaker 1: That even Tyler Adams Afternoons You for twenty twenty four

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Speaker 1: US Talks they'd be good afternoon.

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Speaker 3: It's seventeen past one.

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Speaker 2: Recruiters in Australia have spoken out about gen Z grads

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Speaker 2: demanding too much from their employees. So why do you

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Speaker 2: think gen Z are making such demands? And do you

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Speaker 2: think it's a good idea to make a whole bunch

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Speaker 2: of demands when you start a new job when your

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Speaker 2: thoughts on this.

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Speaker 8: Yeah, so I'm not quite a gen Z new entrant

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Speaker 8: to the workforce and more like the older end of

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Speaker 8: millennials gen why sort of thing I think with the

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Speaker 8: recent exodus we had with construction professionals over to ossiy,

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Speaker 8: I just I think it's also conversely important to know

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Speaker 8: your worth, like, say, for example, if you're in high

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Speaker 8: demand getting multiple job offers in a sector, you know

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Speaker 8: there's no point sort of making that move over to

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Speaker 8: Aussie if you can get the same money here, for example, Like,

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Speaker 8: I don't think there's anything wrong with saying, okay, this

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Speaker 8: is the sort of grocery list of stuff I want

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Speaker 8: in order for it to be worthwhile for me to

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Speaker 8: make them move over to Australia, for example.

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Speaker 2: Yeah, and when you start in the actual job, so

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Speaker 2: you've got the job, do you would you agree that

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Speaker 2: the attitude should be I'm going to show them how

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Speaker 2: hard I can work and how much I'm worth and

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Speaker 2: in the hopes of moving up before you try and

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Speaker 2: change the system already one hundred percent.

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Speaker 8: Yeah, yeah, absolutely, Like I think if you're in a

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Speaker 8: position more that I'm talking about you, you are sort

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Speaker 8: of more of a non quantity. They know you know

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Speaker 8: what you're worth and what you're capable of, and so

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Speaker 8: they're prepared to, you know, go in and bid for

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Speaker 8: your for your skills and your services, and so I

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Speaker 8: think the you know, one hundred percent, your intention should

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Speaker 8: be to from the date, from day dot to be

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Speaker 8: able to demonstrate that and add value as much as

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Speaker 8: much as you possibly can, and if you can improve

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Speaker 8: their systems, you know, a few months in the job,

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Speaker 8: once you sort of understand how they operate, and yeah,

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Speaker 8: it's you have an old legation to sort of add

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Speaker 8: that value and sort of make suggestions and offer offer

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Speaker 8: your input on where where they can improve.

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Speaker 2: But if you take it back to say a gen

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Speaker 2: Z grad who isn't a proven quantity and may not

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Speaker 2: be in demand in the same way as you're talking,

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Speaker 2: do you think it's wise to I mean, I don't.

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Speaker 2: I think it's wise to go into a job interview

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Speaker 2: and sell yourself as opposed to go into a job

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Speaker 2: interview and show that you want to have a better

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Speaker 2: deal for yourself, if you know what I mean. So,

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Speaker 2: if you say, look, I would like to work four

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Speaker 2: days a week instead of five in the office four

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Speaker 2: days a week instead of five, I'd like this and

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Speaker 2: this and that, that doesn't seem like a wise strategy

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Speaker 2: to me.

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Speaker 8: No, I totally agree with you there. I think, you know,

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Speaker 8: if you're if you're a fresh out of UNI grad,

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Speaker 8: you know, looking for a looking for a foot in

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Speaker 8: the door, the obligation is on you to sort of,

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Speaker 8: like you say, goes market yourself and sort of, you know,

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Speaker 8: prove your worth before you can really do the you know,

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Speaker 8: before you can really do any bargaining around what you want.

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Speaker 2: Yeah, how did that change though? Because when I was

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Speaker 2: first looking for jobs, and my first jobs, I went

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Speaker 2: for pretty lowly for you know, working in record stores

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Speaker 2: and bars and such. But I would never have thought

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Speaker 2: that a job interview would be an opportunity for me

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Speaker 2: to make a better deal for myself. I always thought

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Speaker 2: that a job interview was even to the point of

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Speaker 2: stretching the truth, making it appear that I was the

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Speaker 2: best possible candidate that was going to make things easier

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Speaker 2: for the employee.

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Speaker 8: Yeah, and I agree. And I think if you are,

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Speaker 8: if you are sort of new to the job market,

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Speaker 8: you are sort of you know, more like those gen

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Speaker 8: Z kids that were talking about. Yeah, I couldn't agree more. Man,

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Speaker 8: your your your responsibility is to just you know, sell

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Speaker 8: yourself to the best of your ability and get yourself

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Speaker 8: a foot in the door so that you can start

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Speaker 8: providing you and show that you're a hard worker and

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Speaker 8: you know, start beginning to grow your career and your

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Speaker 8: skill set.

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Speaker 3: You'd think there's a fine line, though, just I'm starting

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Speaker 3: to sort of lean towards I can understand where some

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Speaker 3: gen Z workers are coming from, as in they've been

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Speaker 3: a couple of years in the job and they think

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Speaker 3: they know their worth, but they feel that they're getting

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Speaker 3: taken advantage off. So it's a fine line, isn't it,

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Speaker 3: between backing yourself and knowing what skills you bring to

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Speaker 3: the table versus not being taken advantage of by an employer.

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Speaker 3: Because let's be real here, and employer is not going

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Speaker 3: to pay more than they have to.

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Speaker 8: No, I totally agree. But I think once you have

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Speaker 8: sort of demonstrated you know that you're valuable, that's then

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Speaker 8: reflected in the job market for you, like you start

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Speaker 8: to get more job offers, and you start to get

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Speaker 8: those sort of more higher paid, more flexible positions offered

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Speaker 8: to you. So it's at that point then you need

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Speaker 8: to start sort of understanding your worth and saying, Okay, well,

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Speaker 8: now it might not be worth me working remotely or relocating.

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Speaker 8: You're sort of taking this role of that role unless

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Speaker 8: I'm sort of getting what's worked while to me and

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Speaker 8: my family.

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Speaker 2: You know, it's interest for me because I've employed people

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Speaker 2: in the past, and I've always known exactly how much

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Speaker 2: I've got to pay them and exactly what I need

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Speaker 2: to do, So there hasn't really ever been a negotiation.

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Speaker 2: I go and honestly with the amount that I can

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Speaker 2: afford to pay them and exactly where I need them

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Speaker 2: to be and what they are. So when I've employed

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Speaker 2: people and they've gone I need this and this, I've

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Speaker 2: always thought, well, I haven't got that. I've got this,

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Speaker 2: so you can ask for more money, but I don't

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Speaker 2: have that money. I've got this amount of money and

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Speaker 2: I'm not trying to mess you around. And I'd like

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Speaker 2: to hear from other employees in this situation. Employee is

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Speaker 2: in this situation? I mean, do you go in and

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Speaker 2: tell them what the what you're going to pay them

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Speaker 2: and that's the real figure, or are you opening a

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Speaker 2: negotiation with them around the terms of employment and how

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Speaker 2: much you're going to pay?

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Speaker 3: Yeah, when thank you very much for your phone call.

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Speaker 3: That's an interesting one, isn't it. And credit to you,

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Speaker 3: because I think that's a honest way to play things

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Speaker 3: that you say, Hey, generally, this is the money that

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Speaker 3: I can pay you. This is the money I've got.

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Speaker 3: This is what I think the role is worth and

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Speaker 3: what you're worth. And I'm trying to be fair here,

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Speaker 3: but I don't know if that works in the real world.

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Speaker 2: This is what I need you to do.

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Speaker 9: Well.

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Speaker 2: Yeah, I mean it's slightly different for me because I've

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Speaker 2: always employed people on contracts to do a particular job.

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Speaker 2: So this is the job, this is the money, and

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Speaker 2: if you try and negotiate more, I'm afraid that isn't

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Speaker 2: a thing. Yeah, that's not a thing. I've gone through.

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Speaker 2: I've done the budget, I've worked this is the line

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Speaker 2: for that particular job. This is the money that's available

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Speaker 2: when we've gone through and worked it out and there's

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Speaker 2: no movement. I've found as much money as I can

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Speaker 2: pay you.

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Speaker 3: Oh, eight hundred and eighty ten eighty is the number

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Speaker 3: to call love to hear from you on this one.

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Speaker 3: Nine two nine two is the text number as well.

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Speaker 3: It's twenty three past one.

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Speaker 1: Putting the tough questions to the newsmakers the mic asking.

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Speaker 10: Breakfast despiders of abuse and care. Cooper Legal is representing

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Speaker 10: more than sixteen hundred affected clients. Senior Associate Lydia Ostahoff

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Speaker 10: is with us, the people you represent.

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Speaker 2: What's the feeling so far?

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Speaker 5: We've come a long way.

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Speaker 11: But an apology means nothing if it doesn't come with

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Speaker 11: a commitment to change.

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Speaker 10: This is a massive thing. Given an apology is easier

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Speaker 10: to deliver. Is it unrealistic to expect here's a check

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Speaker 10: and here's how we're going to do it.

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Speaker 2: I mean, this takes time and you want to do

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Speaker 2: it right.

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Speaker 12: Don't you?

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Speaker 5: Yes?

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Speaker 11: And I think what we've got to realize is the

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Speaker 11: final report was cabled in Parliament in July, but the

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Speaker 11: government and that's a successive government had had the Interim

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Speaker 11: Readers Report December twenty twenty.

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Speaker 10: One back tomorrow at six am the Mike Hosking Breakfast

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Speaker 10: with Bailey's real Estate News Talk z B.

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Speaker 3: It's twenty six past one, Sharon, Good, afternoon. Gen Z

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Speaker 3: Hi gen Z asking for too much in the workplace?

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Speaker 7: Do you think, well, if you know they're getting a

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Speaker 7: bit demanding, it could be My son's a gen Z

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Speaker 7: personal gen Z would you way you say it? I

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Speaker 7: don't think he would ever do that, but he has

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Speaker 7: his own business anyway, So but here's work for other people.

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Speaker 7: But I don't think he'd even dream of it.

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Speaker 13: I mean, it's.

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Speaker 7: Well, I wouldn't employ anybody that's got a bit too demanding.

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Speaker 14: Put it that way.

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Speaker 2: It seems crazy to me that people are super demanding

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Speaker 2: in their job interview because but maybe when I was

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Speaker 2: going for jobs back in the day, I was so

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Speaker 2: desperate for them that I was just grateful to have

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Speaker 2: the job interview and even more grateful when I get

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Speaker 2: the job. So is it that gen Z or doesn't

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Speaker 2: sound like your sons this way, but some gen Z

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Speaker 2: people expect to get the job.

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Speaker 7: It could be It all could be down to confidence,

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Speaker 7: as well in yourself and your ability to do the

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Speaker 7: job or you know, what you think you're capable of doing.

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Speaker 7: I suppose that would come down to it. But I

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Speaker 7: think if they're going to be overly demanding, a lot

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Speaker 7: of people wouldn't particularly like that. I mean, there's one

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Speaker 7: thing having confidence, but another being overstepping the line and

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Speaker 7: being a little bit too in your face. And I

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Speaker 7: don't think employees employers would particularly like that.

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Speaker 2: Yeah, And it becomes a different thing when you're when

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Speaker 2: you've proven yourself and you're and you're in a market

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Speaker 2: where there isn't a lot of you know, when the

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Speaker 2: market leans on the side of the employee and you're

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Speaker 2: desperate to full a spot and you have the qualification,

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Speaker 2: then you'd be silly not to demand what you deserve.

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Speaker 2: But yeah, so I guess there's there's two different things.

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Speaker 2: I mean, it does seem a little bit weird because

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Speaker 2: we are gain a lot of textro people saying that

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Speaker 2: gen Z are useless and lazy, But I mean that's

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Speaker 2: not not true. I'm sure there's all of all of them.

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Speaker 2: I mean, you say, your son, he sounds like he's

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Speaker 2: working as hard as anyone has.

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Speaker 7: Oh yeah, he's an extremely hard worker. I mean, he

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Speaker 7: really is, and that's just theream his mother I'd probably

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Speaker 7: say that it's true, you know, I mean he really

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Speaker 7: does work hard and good service and a good deal,

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Speaker 7: and it's very particular about his job and what he does.

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Speaker 7: And luckily with word of mouth and everything else, he's

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Speaker 7: got work through that. So that's always a good thing,

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Speaker 7: isn't It doesn't have to advertise that much. So obviously

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Speaker 7: his work ethic has been instilled in him already seen

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Speaker 7: the example for well, I would hope from his parents

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Speaker 7: and his family. But you know, if you're going to

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Speaker 7: be too much in your face, then you're just going

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Speaker 7: to be obnoxious and nobody wants to employ you.

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Speaker 3: Yeah. Do you think it was a mistake, Sharon, The

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Speaker 3: you know, renewed trend and focus on four day work

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Speaker 3: weeks and working from home, that there was a real

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Speaker 3: risk there over the last couple of years post COVID,

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Speaker 3: that young employees are looking at all those trends and

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Speaker 3: saying I want that, I want that as soon as

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Speaker 3: I into the workforce.

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Speaker 7: Well, yeah, I mean maybe it's old fashioned thinking these days,

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Speaker 7: but you know, you had to head down in your

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Speaker 7: backside up and get on with it. I mean you

439
00:19:52,933 --> 00:19:54,693
Speaker 7: you know, you're not going to get terribly far if

440
00:19:54,733 --> 00:19:56,653
Speaker 7: you're going to only work four days a week now

441
00:19:57,293 --> 00:19:59,333
Speaker 7: ten till two or something like some of them, I

442
00:19:59,333 --> 00:20:01,453
Speaker 7: think expect to be able to win in the one

443
00:20:01,533 --> 00:20:04,893
Speaker 7: hundred and fifty thousand dollars example of a salary. I mean,

444
00:20:05,293 --> 00:20:08,093
Speaker 7: just the life does not work like that usually.

445
00:20:08,573 --> 00:20:12,213
Speaker 2: Yeah, I kind of think your twenties, you know, your

446
00:20:12,293 --> 00:20:15,613
Speaker 2: late teens where whenever you get into the workforce, are

447
00:20:15,653 --> 00:20:18,453
Speaker 2: the time where you have the most energy and you

448
00:20:18,533 --> 00:20:21,333
Speaker 2: work the hardest to set yourself up in life. That's

449
00:20:21,693 --> 00:20:23,373
Speaker 2: the bit where you go, I'm going to be in

450
00:20:23,533 --> 00:20:25,253
Speaker 2: five days a week, I'm going to show you that

451
00:20:25,613 --> 00:20:27,853
Speaker 2: I'm incredible, and I'm going to try and move up.

452
00:20:28,173 --> 00:20:30,293
Speaker 2: Because if you don't do that in your twenties, it

453
00:20:30,293 --> 00:20:32,613
Speaker 2: gets harder and harder to prove yourself in your thirties

454
00:20:32,693 --> 00:20:36,453
Speaker 2: and forties, you know, and if you're getting into your

455
00:20:36,533 --> 00:20:40,613
Speaker 2: fifties and your and you haven't had a period of

456
00:20:40,733 --> 00:20:43,413
Speaker 2: proving yourself and haven't had a pre period of success,

457
00:20:43,973 --> 00:20:45,253
Speaker 2: life gets pretty difficult.

458
00:20:45,333 --> 00:20:48,973
Speaker 7: Yeah, you have to learn that lesson and create the

459
00:20:49,013 --> 00:20:50,333
Speaker 7: habit of being at work.

460
00:20:50,933 --> 00:20:53,413
Speaker 3: Yeah, Sharon, thank you so much. I mean, just to

461
00:20:53,453 --> 00:20:55,653
Speaker 3: that point you bang on. The older you get, the

462
00:20:55,653 --> 00:20:57,893
Speaker 3: more harder it is to make mistakes, right, Because when

463
00:20:57,893 --> 00:21:00,573
Speaker 3: I was a young worker, I made heaps of mistakes.

464
00:21:00,573 --> 00:21:02,453
Speaker 3: But because I was young and you, I got a

465
00:21:02,493 --> 00:21:04,653
Speaker 3: lot of leeway to say, oh, yeah, Tyler's just a

466
00:21:04,733 --> 00:21:07,733
Speaker 3: new comer. You'll get it Tyler eventually. But now if

467
00:21:07,733 --> 00:21:09,373
Speaker 3: I make mistakes, it's not the same way.

468
00:21:09,613 --> 00:21:11,613
Speaker 2: Yeah. Maybe I just didn't have a sense of self

469
00:21:11,613 --> 00:21:14,893
Speaker 2: worth when I was applying for jobs when I was younger.

470
00:21:15,053 --> 00:21:17,533
Speaker 2: I got a stupid degree, but I was I was working,

471
00:21:17,653 --> 00:21:19,253
Speaker 2: or I had my degree as well, but I was

472
00:21:19,293 --> 00:21:22,333
Speaker 2: just surprised that anyone would employ me. And when I

473
00:21:22,373 --> 00:21:25,333
Speaker 2: got into any job, and we're talking minimum wage jobs,

474
00:21:25,373 --> 00:21:29,253
Speaker 2: when I first started out, I was just incredibly pleased

475
00:21:29,293 --> 00:21:32,493
Speaker 2: I had the job and grateful. I remember when I

476
00:21:32,493 --> 00:21:34,973
Speaker 2: first there's a saying and this is this is a

477
00:21:35,013 --> 00:21:38,133
Speaker 2: saying from from Hollywood, but it's but it sort of

478
00:21:38,133 --> 00:21:41,173
Speaker 2: applies to everything. I was thinking that Judd Apatoe said it.

479
00:21:42,333 --> 00:21:44,653
Speaker 2: You know that the comedy writer, he's done a bunch

480
00:21:44,653 --> 00:21:48,253
Speaker 2: of movies Knocked Up, in Starched and such. He said

481
00:21:48,373 --> 00:21:53,613
Speaker 2: that if you he goes being able to get the

482
00:21:53,893 --> 00:21:57,532
Speaker 2: coffee order right doesn't mean you're a good director. But

483
00:21:57,573 --> 00:21:59,573
Speaker 2: if you don't get the coffee order right when you start,

484
00:21:59,653 --> 00:22:01,253
Speaker 2: you'll never get the chance to be the director.

485
00:22:01,373 --> 00:22:03,453
Speaker 3: That's a nice lie. You're smart, man.

486
00:22:03,453 --> 00:22:06,413
Speaker 2: Because and I've worked in film and television quite a bit,

487
00:22:06,533 --> 00:22:09,853
Speaker 2: and there's a there's a direct prep path. You start

488
00:22:09,893 --> 00:22:12,933
Speaker 2: off as a production assistant, which is a runner, and

489
00:22:13,013 --> 00:22:15,813
Speaker 2: you drive around and you get people their food, and

490
00:22:15,893 --> 00:22:18,773
Speaker 2: you get people their coffees and you do everything. And

491
00:22:18,853 --> 00:22:21,493
Speaker 2: if you're one of those people like me that worked

492
00:22:21,533 --> 00:22:23,493
Speaker 2: really late, I mean I loved film and television, so

493
00:22:23,533 --> 00:22:24,853
Speaker 2: I was so grateful when I got in the air.

494
00:22:24,853 --> 00:22:28,093
Speaker 2: And I'd worked and record stores for a long time

495
00:22:28,133 --> 00:22:30,933
Speaker 2: before I got there, so it was an incredible it

496
00:22:30,773 --> 00:22:32,733
Speaker 2: was even though the money was worse. It felt like

497
00:22:32,773 --> 00:22:35,853
Speaker 2: a step up. But people are always looking around, and

498
00:22:35,893 --> 00:22:38,173
Speaker 2: in that business, the next thing is a production manager,

499
00:22:38,333 --> 00:22:40,733
Speaker 2: and they're always looking to fill the person that role,

500
00:22:40,933 --> 00:22:44,413
Speaker 2: which is slightly more responsibility, and then there's well there's

501
00:22:44,413 --> 00:22:47,213
Speaker 2: production coordinator, then production manager, and then there's a producer.

502
00:22:47,413 --> 00:22:50,053
Speaker 2: There's a path up. You don't move to the next

503
00:22:50,093 --> 00:22:52,493
Speaker 2: step if you are demanding it all You don't you

504
00:22:52,573 --> 00:22:55,213
Speaker 2: move to the next step if you hand your production

505
00:22:55,253 --> 00:22:57,573
Speaker 2: coordinator above you the correct coffee that they ordered.

506
00:22:57,693 --> 00:22:59,253
Speaker 3: Yeah, but I think you've hit the nail on the

507
00:22:59,253 --> 00:23:01,453
Speaker 3: head that you were so thankful that someone gave you

508
00:23:01,453 --> 00:23:04,013
Speaker 3: a job. And I worry. And we've had a lot

509
00:23:04,253 --> 00:23:06,133
Speaker 3: a big go at gen Z yet, but I worry.

510
00:23:06,253 --> 00:23:08,173
Speaker 3: It doesn't have to be gen Z. People come into

511
00:23:08,173 --> 00:23:11,773
Speaker 3: the workforce now saying that you're lucky to have me,

512
00:23:12,133 --> 00:23:15,013
Speaker 3: rather than thank you so much for giving me an opportunity.

513
00:23:15,253 --> 00:23:18,133
Speaker 2: But who told them that that? That's what I don't understand.

514
00:23:18,973 --> 00:23:21,773
Speaker 2: Who told them that they were owed a job and

515
00:23:21,853 --> 00:23:27,413
Speaker 2: that a workplace owes you to change for you. I'd

516
00:23:27,453 --> 00:23:30,733
Speaker 2: never heard that, But maybe I hadn't been maybe I

517
00:23:30,733 --> 00:23:33,693
Speaker 2: hadn't been brought up. I think when I was younger,

518
00:23:33,773 --> 00:23:37,213
Speaker 2: first going to jobs, I had a massive lack of confidence. Yeah,

519
00:23:37,533 --> 00:23:41,533
Speaker 2: and maybe and maybe that worked out for me because

520
00:23:41,933 --> 00:23:44,493
Speaker 2: I had to prove myself really hard because I didn't

521
00:23:44,493 --> 00:23:46,653
Speaker 2: think I deserve to be there, which doesn't sound like

522
00:23:46,693 --> 00:23:49,293
Speaker 2: a healthy attitude to have, But but it worked for me.

523
00:23:49,533 --> 00:23:52,213
Speaker 3: Oh eight hundred and eighty ten eighty. Employers love to

524
00:23:52,253 --> 00:23:55,133
Speaker 3: hear from you about the level of candidates you're getting

525
00:23:55,173 --> 00:23:59,133
Speaker 3: at the moment? Are they expecting too much in your workplace?

526
00:23:59,293 --> 00:24:01,773
Speaker 2: Is this just a myth? Is just what every generation says,

527
00:24:02,093 --> 00:24:06,093
Speaker 2: that the gen zs, the young people coming through are

528
00:24:06,213 --> 00:24:09,653
Speaker 2: useless and lazy and demand? Is that just what people say?

529
00:24:09,693 --> 00:24:12,812
Speaker 2: Because Gen X, which I am, the gen X's were

530
00:24:12,813 --> 00:24:15,813
Speaker 2: called slackers. Yeah, and now the gen x's are in charge.

531
00:24:15,973 --> 00:24:17,373
Speaker 2: Are the gen X's still slackers?

532
00:24:17,493 --> 00:24:17,693
Speaker 4: Yeah?

533
00:24:17,733 --> 00:24:20,533
Speaker 2: I mean, are you gen X out there? Are you slacking?

534
00:24:20,573 --> 00:24:22,093
Speaker 2: Did you get there for being slack because we were

535
00:24:22,093 --> 00:24:23,133
Speaker 2: called the slack generation?

536
00:24:23,453 --> 00:24:25,093
Speaker 3: Oh eight, one hundred and eighty ten eighty is the

537
00:24:25,133 --> 00:24:31,173
Speaker 3: number to call? It is twenty six to two youth talks.

538
00:24:31,213 --> 00:24:34,213
Speaker 15: There'd be headlines with blue bubble tax sees. It's no

539
00:24:34,373 --> 00:24:38,133
Speaker 15: trouble with a blue bubble. Director General of Health Diana

540
00:24:38,253 --> 00:24:42,613
Speaker 15: Safarte is one of many agency leaders who have apologized

541
00:24:42,653 --> 00:24:46,532
Speaker 15: to survivors of abuse and care today at a national apology,

542
00:24:46,973 --> 00:24:51,773
Speaker 15: She says, sexual, medical, and emotional abuse occurred in health settings.

543
00:24:51,893 --> 00:24:55,253
Speaker 16: As children, young people and adults in our care, you

544
00:24:55,293 --> 00:24:59,453
Speaker 16: are harmed by unimaginable abuse and neglect. None of that

545
00:24:59,493 --> 00:25:03,173
Speaker 16: could be justified then, and it certainly cannot be justified.

546
00:25:02,733 --> 00:25:06,693
Speaker 15: Now Chris Luxon finished his apology as Prime Minister and

547
00:25:06,773 --> 00:25:10,573
Speaker 15: denounced thirty two million is going into the current redress

548
00:25:10,653 --> 00:25:14,173
Speaker 15: system while work continues on a news system. He says

549
00:25:14,213 --> 00:25:18,413
Speaker 15: he's committed to removing street names, public amenities and public honors,

550
00:25:18,493 --> 00:25:23,013
Speaker 15: highlighting proven perpetrators. A national remembrance Day will be marked

551
00:25:23,253 --> 00:25:28,613
Speaker 15: next November twelve. The Hawks Space Nyclone Gabrielle Voluntary Buyout

552
00:25:28,693 --> 00:25:32,293
Speaker 15: office is closing, with just four offers left to finalize.

553
00:25:32,493 --> 00:25:37,653
Speaker 15: Homeowners were offered full property purchases or relocation grants. The

554
00:25:37,693 --> 00:25:41,613
Speaker 15: moment Rico Yuanni showed he's a world class center. Read

555
00:25:41,613 --> 00:25:44,733
Speaker 15: greg Or Paul's full column at Ends and Herald Premium.

556
00:25:44,853 --> 00:25:46,773
Speaker 15: Now back to Matt Eath and Tyler Adams.

557
00:25:46,773 --> 00:25:49,613
Speaker 3: Thank you very much, Raylean. It is twenty two to two.

558
00:25:49,933 --> 00:25:52,413
Speaker 2: So A recruits in Australia have spoken out about gen

559
00:25:52,533 --> 00:25:56,453
Speaker 2: Z graduates demands, saying that arrogant and their expectations are

560
00:25:56,533 --> 00:26:01,373
Speaker 2: leaving a bad taste in bosses mouths. Zach Jack, you know,

561
00:26:01,533 --> 00:26:03,532
Speaker 2: Jack Jack, your thoughts on that?

562
00:26:05,373 --> 00:26:09,493
Speaker 17: Yeah, So I run a customer service and the context center,

563
00:26:09,533 --> 00:26:12,453
Speaker 17: and yeah, we get a lot of gen zs through

564
00:26:12,493 --> 00:26:15,453
Speaker 17: the door. And so before anyone asking or some baby

565
00:26:15,493 --> 00:26:18,293
Speaker 17: boom or anything. I'm I'm thirty nine, so I'm definitely

566
00:26:18,293 --> 00:26:18,853
Speaker 17: a millennial.

567
00:26:19,013 --> 00:26:23,933
Speaker 2: Yeah millennials, Yeah they're much.

568
00:26:23,813 --> 00:26:25,933
Speaker 17: Below millennial about the Big four zero.

569
00:26:25,853 --> 00:26:26,453
Speaker 3: In the new Year.

570
00:26:26,533 --> 00:26:31,133
Speaker 17: But yeah, these these new breed coming through, they're their

571
00:26:31,213 --> 00:26:33,653
Speaker 17: next level. I mean, I thought millennials bad rat but

572
00:26:33,733 --> 00:26:37,373
Speaker 17: I mean, you know, I was installed with a decent

573
00:26:37,453 --> 00:26:39,733
Speaker 17: work ethort. You know, I've got a baby boomer parents

574
00:26:39,733 --> 00:26:41,293
Speaker 17: and stuff, so you know I had that put down

575
00:26:41,293 --> 00:26:43,493
Speaker 17: on me. But yeah, these these are things. They come

576
00:26:43,493 --> 00:26:45,293
Speaker 17: through the door. They want to work from home all

577
00:26:45,333 --> 00:26:48,413
Speaker 17: the time. They Yeah, you got just little things like

578
00:26:48,493 --> 00:26:49,973
Speaker 17: there'll be a radio thing in the office and you

579
00:26:50,013 --> 00:26:52,253
Speaker 17: will get someone message you on the intermssgs go oh

580
00:26:52,253 --> 00:26:55,813
Speaker 17: can you skip this? Change the stasion? This tracks triggering

581
00:26:55,813 --> 00:26:56,653
Speaker 17: me or something like that.

582
00:26:56,853 --> 00:26:59,293
Speaker 18: It's like, what is this?

583
00:26:59,493 --> 00:27:00,213
Speaker 19: What's going on?

584
00:27:00,333 --> 00:27:02,493
Speaker 17: Or I need to have I'm taking a me day

585
00:27:02,533 --> 00:27:04,013
Speaker 17: to day. Like you know, back in the days when

586
00:27:04,053 --> 00:27:06,013
Speaker 17: you know, I used to call in site, you'd be like, God,

587
00:27:06,013 --> 00:27:08,053
Speaker 17: I've got a corn stick, a crap, you know you

588
00:27:08,453 --> 00:27:15,173
Speaker 17: and I just tell you I'm not coming today. I'm

589
00:27:15,173 --> 00:27:15,813
Speaker 17: having a mid day.

590
00:27:16,533 --> 00:27:21,493
Speaker 2: I was reading this. It's some writing by the Roman,

591
00:27:21,573 --> 00:27:24,933
Speaker 2: ancient Roman businessman Seneca, and he was talking about the

592
00:27:24,973 --> 00:27:27,453
Speaker 2: young generation and how people were complaining about them being

593
00:27:27,453 --> 00:27:29,613
Speaker 2: too slack and not having the right morals. You say,

594
00:27:29,653 --> 00:27:33,653
Speaker 2: you're a millennial, but now you're pushing forty on gen X.

595
00:27:34,173 --> 00:27:36,133
Speaker 2: But when I was gen X, as I was saying before,

596
00:27:36,173 --> 00:27:38,533
Speaker 2: people were calling us the slackers. You don't think maybe

597
00:27:38,573 --> 00:27:42,253
Speaker 2: there's just a process in life that people when they're younger,

598
00:27:42,373 --> 00:27:45,133
Speaker 2: they're a bit slack and demanding, and then as they

599
00:27:45,173 --> 00:27:49,093
Speaker 2: reach your age Jack, as a millennial that's hitting forty,

600
00:27:49,733 --> 00:27:54,413
Speaker 2: they start to change and they become more responsible and

601
00:27:55,333 --> 00:27:58,213
Speaker 2: and know more about the world. And then you move

602
00:27:58,253 --> 00:28:01,373
Speaker 2: on now and eventually us gen x's will be thought

603
00:28:01,373 --> 00:28:03,693
Speaker 2: of as boomers, and we'll get the same anger from

604
00:28:03,693 --> 00:28:07,293
Speaker 2: millennials as Gen X are giving boomers. Actually fair gen

605
00:28:07,453 --> 00:28:09,413
Speaker 2: X and boomers GENI have never really hitsled the boomers

606
00:28:09,413 --> 00:28:10,893
Speaker 2: too much. But do you know what I'm saying, Did

607
00:28:10,933 --> 00:28:13,413
Speaker 2: you think maybe it's just a process of generational process?

608
00:28:14,533 --> 00:28:16,653
Speaker 17: Yeah, I think is to a degree, It definitely is.

609
00:28:16,693 --> 00:28:19,773
Speaker 17: But I think like the level they're starting at is

610
00:28:19,853 --> 00:28:25,653
Speaker 17: completely alien to me. You know, the sense of entitlement,

611
00:28:25,693 --> 00:28:27,973
Speaker 17: Like you know, I'm not like definitely one hundred percent.

612
00:28:27,973 --> 00:28:29,373
Speaker 17: We were slack back in the day, and you know,

613
00:28:29,613 --> 00:28:32,373
Speaker 17: still I want to be slack, you know, there's no

614
00:28:32,533 --> 00:28:35,213
Speaker 17: question of that. But it's it's not necessarily the slackness.

615
00:28:35,213 --> 00:28:38,813
Speaker 17: It's more of just the entitlement and what they want,

616
00:28:38,853 --> 00:28:41,613
Speaker 17: like you know, the paypacket they're expecting of oh is

617
00:28:41,653 --> 00:28:45,013
Speaker 17: just completely you know, out of life. But but saying that,

618
00:28:45,093 --> 00:28:49,653
Speaker 17: I've I've hired some very good what i'd call older

619
00:28:50,373 --> 00:28:53,213
Speaker 17: gen z. So they're born like ninety seven, the older ones,

620
00:28:53,693 --> 00:28:55,853
Speaker 17: and they're and they're pretty good. Some of them are

621
00:28:55,853 --> 00:28:59,373
Speaker 17: pretty good. But it's definitely those ones coming through like now,

622
00:28:59,413 --> 00:29:03,093
Speaker 17: heading the early twenties, and they're just yeah.

623
00:29:02,733 --> 00:29:04,653
Speaker 3: Yeah, Well, what is tough at the moment, Jack, and

624
00:29:04,693 --> 00:29:07,333
Speaker 3: I can absolutely see it with employers is that you

625
00:29:07,453 --> 00:29:09,453
Speaker 3: kind of have to be a counselor as well as

626
00:29:09,493 --> 00:29:13,333
Speaker 3: their boss. You know that they're bringing these personal situations

627
00:29:13,333 --> 00:29:15,253
Speaker 3: to work and having a bad day and say, you know,

628
00:29:15,293 --> 00:29:17,613
Speaker 3: I need a half day, boss because I'm not having

629
00:29:17,613 --> 00:29:19,653
Speaker 3: a great day. And as you say, you know that song,

630
00:29:19,733 --> 00:29:21,733
Speaker 3: I don't like it because it triggers me. That's a

631
00:29:21,773 --> 00:29:23,373
Speaker 3: tough position for employers to be.

632
00:29:24,933 --> 00:29:27,373
Speaker 17: Yeah, and you know, and being in management as well.

633
00:29:27,493 --> 00:29:29,373
Speaker 17: You know, you know, in the back of my head,

634
00:29:29,413 --> 00:29:30,133
Speaker 17: I'm thinking.

635
00:29:32,093 --> 00:29:32,293
Speaker 20: Song.

636
00:29:32,413 --> 00:29:34,973
Speaker 17: But you know then I've got to put my you know,

637
00:29:35,093 --> 00:29:38,613
Speaker 17: my my head on and no, you know, and and

638
00:29:38,973 --> 00:29:41,293
Speaker 17: deal with it appropriately. But you know, you do things

639
00:29:41,373 --> 00:29:43,333
Speaker 17: like you know, one on ones once a month or

640
00:29:43,373 --> 00:29:46,813
Speaker 17: something like that, and yeah, you anything can set off,

641
00:29:46,853 --> 00:29:48,773
Speaker 17: like a stream of tears or something like that.

642
00:29:50,213 --> 00:29:51,573
Speaker 2: So what do you what do you think that is?

643
00:29:51,573 --> 00:29:54,693
Speaker 2: Have they been have they been taught the wrong way

644
00:29:54,773 --> 00:29:58,093
Speaker 2: to be? Have they been told things that are unrealistic?

645
00:29:58,253 --> 00:30:00,533
Speaker 2: So why would one generation think that you can come

646
00:30:00,573 --> 00:30:03,653
Speaker 2: to work and expect the work to be a place

647
00:30:03,733 --> 00:30:07,573
Speaker 2: where you looked after emotionally as well as financially. Do

648
00:30:07,613 --> 00:30:09,853
Speaker 2: you think that's been that's been taught to them? Because

649
00:30:09,893 --> 00:30:12,573
Speaker 2: that was definitely not told me. I was basically told

650
00:30:13,333 --> 00:30:15,693
Speaker 2: get a job. Basically, get a job while you start, Yes,

651
00:30:15,893 --> 00:30:16,773
Speaker 2: the situation I was.

652
00:30:17,133 --> 00:30:19,893
Speaker 17: Yeah, now now one hundred percent definitely. I mean, like

653
00:30:19,973 --> 00:30:22,173
Speaker 17: you know, when I finished high school, you know, when

654
00:30:22,173 --> 00:30:24,053
Speaker 17: I was eighteen or whatever year, I was pretty much

655
00:30:24,133 --> 00:30:26,213
Speaker 17: like my parents told me, it's like cold, you can

656
00:30:26,213 --> 00:30:27,933
Speaker 17: stay living here, but you need to go get a job,

657
00:30:27,973 --> 00:30:28,973
Speaker 17: if you need to get some money if you're not

658
00:30:29,053 --> 00:30:31,293
Speaker 17: study and go get a job. So it was very

659
00:30:31,333 --> 00:30:32,973
Speaker 17: much like that work effort and you had to put

660
00:30:33,013 --> 00:30:34,653
Speaker 17: in you know, put in the maney and do the

661
00:30:34,693 --> 00:30:37,773
Speaker 17: hard yards where I feel like, yeah, they've been I

662
00:30:37,773 --> 00:30:39,933
Speaker 17: don't know who's telling them us whatever, it's their parents,

663
00:30:39,973 --> 00:30:42,053
Speaker 17: and you know, I'm presuming that the parents of these

664
00:30:42,133 --> 00:30:46,973
Speaker 17: gen x's is probably sorry gen Z's is probably gen X.

665
00:30:46,973 --> 00:30:48,533
Speaker 17: So they've got maybe a lot of plants for in

666
00:30:48,533 --> 00:30:51,173
Speaker 17: that regard. But you know, I think they've been told

667
00:30:51,293 --> 00:30:53,133
Speaker 17: in schools as well. I think, you know, and I

668
00:30:53,133 --> 00:30:54,733
Speaker 17: think these guys have been told this in schools and

669
00:30:54,773 --> 00:30:58,573
Speaker 17: definitely at university as well, you know, because there's a

670
00:30:58,973 --> 00:31:01,813
Speaker 17: society is changing though how much we value you know, everyone,

671
00:31:01,853 --> 00:31:04,213
Speaker 17: you know you're worth like learning, your sense of work

672
00:31:04,253 --> 00:31:08,533
Speaker 17: and almost and these are good things, but it's to

673
00:31:08,653 --> 00:31:09,933
Speaker 17: when and where to use it.

674
00:31:10,293 --> 00:31:13,653
Speaker 2: Yeah, I mean, I think when you know, when I

675
00:31:13,693 --> 00:31:15,133
Speaker 2: was coming through, it was more than yet to prove

676
00:31:15,133 --> 00:31:17,893
Speaker 2: your sense of worth and it's probably wasn't the best

677
00:31:17,893 --> 00:31:21,373
Speaker 2: emotional way to be and being around, well around a human.

678
00:31:21,453 --> 00:31:23,853
Speaker 2: But you didn't come and you came into working, You

679
00:31:23,853 --> 00:31:25,853
Speaker 2: didn't you got a job, you didn't have any worth

680
00:31:25,853 --> 00:31:28,213
Speaker 2: at all and then yet to prove it. But do

681
00:31:28,253 --> 00:31:31,133
Speaker 2: you think, Jack, there's a huge advantage say gen Z

682
00:31:31,253 --> 00:31:33,173
Speaker 2: coming through right now if they had the attitude that

683
00:31:33,213 --> 00:31:36,453
Speaker 2: you have, because you've obviously risen up to be in

684
00:31:36,493 --> 00:31:39,573
Speaker 2: a position where you're employing people. So the people with

685
00:31:39,693 --> 00:31:43,013
Speaker 2: the attitude now that they'd be actually cut through things

686
00:31:43,053 --> 00:31:45,813
Speaker 2: like a night through through. But but if you, if

687
00:31:45,853 --> 00:31:47,773
Speaker 2: you start with that attitude, your rise to the level

688
00:31:47,813 --> 00:31:48,133
Speaker 2: you're at.

689
00:31:49,573 --> 00:31:50,533
Speaker 21: Yeah, I agree.

690
00:31:50,653 --> 00:31:52,853
Speaker 17: I think it's I think it's definitely a mindset because

691
00:31:53,293 --> 00:31:54,693
Speaker 17: you know, and I'm sure that was the same in

692
00:31:54,733 --> 00:31:57,013
Speaker 17: my generation in yours, But like you get a lot

693
00:31:57,013 --> 00:32:00,733
Speaker 17: of people who just assume just because they've been to

694
00:32:00,813 --> 00:32:03,893
Speaker 17: university and they've got a degree, you know, they should

695
00:32:03,893 --> 00:32:06,653
Speaker 17: be in a position of power or a higher earner.

696
00:32:06,693 --> 00:32:09,173
Speaker 17: And you know, I've had I've had employees that they go, well,

697
00:32:09,173 --> 00:32:11,013
Speaker 17: hold on, you haven't got a university degree. You know,

698
00:32:11,373 --> 00:32:12,813
Speaker 17: why are you getting you know, why are you in

699
00:32:12,853 --> 00:32:15,533
Speaker 17: this position. I'm like, well, hold on, I worked my

700
00:32:15,613 --> 00:32:18,453
Speaker 17: way up to get here. And they don't quite understand that.

701
00:32:18,533 --> 00:32:20,133
Speaker 17: They're like, well hold on, you can't get to this

702
00:32:20,173 --> 00:32:23,213
Speaker 17: position about you know, certain qualifications, but trying to explain

703
00:32:23,253 --> 00:32:28,413
Speaker 17: to people they actually work experienced sometimes Trump's qualifications.

704
00:32:28,893 --> 00:32:31,693
Speaker 2: Yeah, I guess I wonder if people particularly coming in

705
00:32:31,733 --> 00:32:35,613
Speaker 2: with a lot of debt from their tertiary education potentially

706
00:32:35,693 --> 00:32:39,133
Speaker 2: going into a job interview going I need to pay

707
00:32:39,173 --> 00:32:41,053
Speaker 2: this back and I need to bear it back soon,

708
00:32:41,173 --> 00:32:43,253
Speaker 2: that might be a factor in it as well. Yeah,

709
00:32:43,293 --> 00:32:45,773
Speaker 2: but yeah, do you think one hundred and eighteen eighty

710
00:32:45,773 --> 00:32:48,493
Speaker 2: do you think that it's just generational that every generation

711
00:32:48,653 --> 00:32:51,133
Speaker 2: is slack when they're eighteen, nineteen and twenty, or certain

712
00:32:51,213 --> 00:32:53,373
Speaker 2: percentage of them are. And as we get older, we

713
00:32:53,493 --> 00:32:57,053
Speaker 2: just go through the stages of life where we where

714
00:32:57,093 --> 00:32:59,293
Speaker 2: we start to look back and forget what we were

715
00:32:59,333 --> 00:33:00,813
Speaker 2: actually like just quickly.

716
00:33:01,053 --> 00:33:03,293
Speaker 3: How as a gen X I'm a millennial as well,

717
00:33:03,413 --> 00:33:06,093
Speaker 3: how did you feel about millennials as you're coming up

718
00:33:06,093 --> 00:33:08,213
Speaker 3: through the ranks and you looked at us newcomers in

719
00:33:08,533 --> 00:33:09,693
Speaker 3: the workforce, how did you feel?

720
00:33:09,813 --> 00:33:11,693
Speaker 2: I think gen Z gen X has have a huge

721
00:33:11,693 --> 00:33:15,293
Speaker 2: problem with millennials because we think they're soft. Because gen

722
00:33:15,533 --> 00:33:17,693
Speaker 2: X was more about being tough and not being a

723
00:33:17,773 --> 00:33:21,373
Speaker 2: sell out and just kicking ars. Really, even though we

724
00:33:21,373 --> 00:33:23,853
Speaker 2: were called slackers by the boomers. Yeah, yeah, so we

725
00:33:23,893 --> 00:33:28,213
Speaker 2: saw millennials as soft and too focused on Harry Potter.

726
00:33:28,053 --> 00:33:30,253
Speaker 3: And we had no problem with gen x's. We loved

727
00:33:30,293 --> 00:33:30,773
Speaker 3: you guys.

728
00:33:31,533 --> 00:33:33,333
Speaker 2: See, the gen X's are in a great position. I'd

729
00:33:33,333 --> 00:33:36,813
Speaker 2: love to hear from Okay, because the boomers never really

730
00:33:36,853 --> 00:33:39,693
Speaker 2: hated the gene Xes, and the gen Xes don't really

731
00:33:39,733 --> 00:33:43,013
Speaker 2: hate the boomers, but the boomers hate the millennials, and

732
00:33:43,053 --> 00:33:45,533
Speaker 2: the gen Xes just think that the millennials are a

733
00:33:45,573 --> 00:33:46,453
Speaker 2: bit pathetic.

734
00:33:46,613 --> 00:33:48,933
Speaker 3: How did you guys slip through? It's time for some

735
00:33:49,053 --> 00:33:52,133
Speaker 3: GenX hate. I say, right, had.

736
00:33:52,093 --> 00:33:55,333
Speaker 2: The best generation. We are the best generation. The gen X's.

737
00:33:55,413 --> 00:33:57,453
Speaker 3: Oh, eight hundred and eighty ten eighty is the number

738
00:33:57,493 --> 00:33:58,773
Speaker 3: to call. It's fourteen to two.

739
00:34:00,053 --> 00:34:02,493
Speaker 1: The issues that affect you and a bit of fun

740
00:34:02,533 --> 00:34:05,973
Speaker 1: along the way. Matt heat and Taylor Adams afternoons you

741
00:34:06,133 --> 00:34:08,333
Speaker 1: for twenty twenty four, you've talked said.

742
00:34:08,093 --> 00:34:11,852
Speaker 3: Be eleven to one. Recruiters, who what is it to two?

743
00:34:12,493 --> 00:34:14,732
Speaker 2: Millennia can't even read the time, They're just numbers in

744
00:34:14,733 --> 00:34:16,693
Speaker 2: front of you. But you need to take a boody

745
00:34:17,093 --> 00:34:20,133
Speaker 2: mental health day. Recruiters across the Duch in Australia have

746
00:34:20,173 --> 00:34:23,212
Speaker 2: spoken out about gen Z graduates demands on employers saying

747
00:34:23,213 --> 00:34:27,453
Speaker 2: the arrogant expectations are leaving a bad taste in their mouth. Lisa,

748
00:34:27,933 --> 00:34:31,133
Speaker 2: your thought on the Generations and Jobs entitled.

749
00:34:32,413 --> 00:34:34,253
Speaker 22: My husband and I have been talking about this quite

750
00:34:34,293 --> 00:34:36,692
Speaker 22: a bit because they're trying to be employ a few

751
00:34:36,733 --> 00:34:41,773
Speaker 22: people recently, and the people that are coming through that

752
00:34:41,813 --> 00:34:44,652
Speaker 22: are around the age of twenty one twenty two have

753
00:34:44,853 --> 00:34:49,093
Speaker 22: never had jobs before. So we reckon that that's part

754
00:34:49,173 --> 00:34:52,013
Speaker 22: of the problem of all these, you know, people that

755
00:34:52,053 --> 00:34:55,253
Speaker 22: have graduated from university who have never had jobs before,

756
00:34:55,293 --> 00:34:57,853
Speaker 22: going into a corporate environment and just all of a

757
00:34:57,893 --> 00:35:00,853
Speaker 22: sudden having to be taught work effects because they've never

758
00:35:00,893 --> 00:35:03,893
Speaker 22: had it before. They've never had part time jobs. They're

759
00:35:04,253 --> 00:35:04,893
Speaker 22: they're kind of.

760
00:35:05,173 --> 00:35:05,772
Speaker 5: Kept at home.

761
00:35:05,813 --> 00:35:07,413
Speaker 22: They don't need to work because their mum and dad

762
00:35:07,493 --> 00:35:10,293
Speaker 22: tend to pay through thing and look after them. So

763
00:35:10,653 --> 00:35:13,013
Speaker 22: that's that's the feel and the vibe that we're getting

764
00:35:13,053 --> 00:35:17,933
Speaker 22: that when he's reading these just job descriptions of jobscriptions,

765
00:35:17,933 --> 00:35:20,333
Speaker 22: but they're cvs. They've they've never worked before.

766
00:35:21,013 --> 00:35:22,772
Speaker 2: And how are you when you were coming through into

767
00:35:22,813 --> 00:35:24,813
Speaker 2: your first job, Lisa, And when did you get your

768
00:35:24,813 --> 00:35:25,333
Speaker 2: first job?

769
00:35:26,053 --> 00:35:27,453
Speaker 22: I got my first job at fifteen.

770
00:35:27,613 --> 00:35:30,533
Speaker 2: Yeah, well, yeah, yeah, that's really early.

771
00:35:30,573 --> 00:35:34,453
Speaker 5: And I've had two jobs, you know, right up right up,

772
00:35:34,533 --> 00:35:37,813
Speaker 5: long time part time jobs, working while I was studying,

773
00:35:37,933 --> 00:35:41,653
Speaker 5: and so by the time you graduate, you've been knocked

774
00:35:41,693 --> 00:35:43,373
Speaker 5: back to quite a bit, so you kind of know

775
00:35:43,453 --> 00:35:46,093
Speaker 5: the level of expectation of or what you can and

776
00:35:46,093 --> 00:35:48,613
Speaker 5: can't say to a boss, because that kind of part

777
00:35:48,613 --> 00:35:51,533
Speaker 5: time role has really, you know, shown you.

778
00:35:51,813 --> 00:35:53,773
Speaker 13: The ways of working and how to treat a boss.

779
00:35:53,813 --> 00:35:56,772
Speaker 22: But yeah, when you graduated with a degree and you've

780
00:35:56,773 --> 00:35:59,653
Speaker 22: never worked before, you just feel like you own the world.

781
00:36:00,053 --> 00:36:01,693
Speaker 2: Yeah, it used to be a really important thing, and

782
00:36:01,733 --> 00:36:03,293
Speaker 2: I'm not sure if it still is. It is with

783
00:36:03,373 --> 00:36:05,533
Speaker 2: my kids that they get a job when they're teenagers.

784
00:36:05,613 --> 00:36:07,933
Speaker 2: I still have to work at donaldson'sdery down the road

785
00:36:08,373 --> 00:36:13,172
Speaker 2: Donovan's nursery. So Donisan's do is where where the dogs went,

786
00:36:13,573 --> 00:36:15,893
Speaker 2: and it was just a shoveling gravel. And my son,

787
00:36:16,173 --> 00:36:19,173
Speaker 2: he was really lucky because during you know, when it

788
00:36:19,173 --> 00:36:21,373
Speaker 2: came out of COVID time, there weren't a lot of

789
00:36:22,013 --> 00:36:26,133
Speaker 2: employees available for cafes, so a lot of young kids

790
00:36:26,133 --> 00:36:27,693
Speaker 2: at that point that were keen could go in and

791
00:36:27,693 --> 00:36:29,493
Speaker 2: get a job at a cafe. And he's worked at

792
00:36:29,493 --> 00:36:32,653
Speaker 2: this cafe since he was fifteen, and they're good to

793
00:36:32,733 --> 00:36:35,213
Speaker 2: him and he's been given opportunities in the kitchen and

794
00:36:35,213 --> 00:36:37,853
Speaker 2: stuff because he's a good, good worker. But I mean,

795
00:36:38,013 --> 00:36:40,533
Speaker 2: is that the thing do we need to do? We

796
00:36:40,613 --> 00:36:43,013
Speaker 2: need kids to be getting jobs when they're teenagers so

797
00:36:43,053 --> 00:36:46,053
Speaker 2: they understand a what a really rough job is like,

798
00:36:46,653 --> 00:36:49,533
Speaker 2: what a minimum wage job is like. But the second

799
00:36:49,533 --> 00:36:51,813
Speaker 2: part of that is those jobs are those jobs out there?

800
00:36:51,853 --> 00:36:55,173
Speaker 2: Are people willing to employ teenagers to teach them the

801
00:36:55,253 --> 00:36:57,293
Speaker 2: lessons that they take the risk on the.

802
00:36:57,293 --> 00:36:59,293
Speaker 20: Young people, That's exactly it.

803
00:36:59,333 --> 00:37:01,533
Speaker 22: I don't think there is as much as when we

804
00:37:01,533 --> 00:37:05,373
Speaker 22: were younger, and so I think there's that restriction. But

805
00:37:05,373 --> 00:37:08,013
Speaker 22: I also do feel like there's a lot more staying

806
00:37:08,053 --> 00:37:11,413
Speaker 22: at home with appearance because they can for the expectation

807
00:37:11,533 --> 00:37:14,573
Speaker 22: of you know, needing to work, isn't there. So yeah,

808
00:37:14,573 --> 00:37:15,493
Speaker 22: I think it's a bit of both.

809
00:37:16,493 --> 00:37:16,692
Speaker 23: Yeah.

810
00:37:16,733 --> 00:37:18,893
Speaker 2: I think thank you so much for you for your

811
00:37:18,973 --> 00:37:22,133
Speaker 2: insights there, Lisa. So should we turn this chat into

812
00:37:22,173 --> 00:37:26,133
Speaker 2: a generational war because as a gen X, I think

813
00:37:26,133 --> 00:37:29,253
Speaker 2: the millennials are the worst. Yeah, And I've got more

814
00:37:29,253 --> 00:37:30,693
Speaker 2: problem with the millennials than.

815
00:37:31,493 --> 00:37:34,933
Speaker 3: Right I'll ever think about what generation I despise the most.

816
00:37:34,693 --> 00:37:36,813
Speaker 2: And I'm looking right at you, Tyler.

817
00:37:37,053 --> 00:37:38,653
Speaker 3: Yeah, what's your problem with millennials?

818
00:37:38,693 --> 00:37:41,413
Speaker 2: Well, you can't read the time like before, you can't

819
00:37:41,413 --> 00:37:42,613
Speaker 2: even read numbers in front of your.

820
00:37:43,093 --> 00:37:44,813
Speaker 3: What the time is? I don't need to tell them.

821
00:37:45,053 --> 00:37:47,493
Speaker 3: One hundred and eighty ten eighty is the number to call. Hey,

822
00:37:47,653 --> 00:37:48,933
Speaker 3: watch this, it's eight to.

823
00:37:48,933 --> 00:37:54,933
Speaker 1: Two, Matteath Tyler Adams steaking your calls on eight hundred

824
00:37:55,013 --> 00:37:59,333
Speaker 1: eighty and Tyler Adams Afternoons Newstalk.

825
00:38:00,853 --> 00:38:04,573
Speaker 3: New Storks B it is five minutes to two. Ryan

826
00:38:04,653 --> 00:38:08,213
Speaker 3: get a.

827
00:38:06,653 --> 00:38:12,013
Speaker 13: Gen carrier and very interesting discussion. I'm forty five years old.

828
00:38:12,053 --> 00:38:14,653
Speaker 13: I have no idea what that makes me millennial or whatever.

829
00:38:14,693 --> 00:38:15,453
Speaker 21: I'm not quite sure.

830
00:38:15,653 --> 00:38:18,133
Speaker 3: Yeah, millennial.

831
00:38:18,213 --> 00:38:19,733
Speaker 2: I think you're a gen X. I think you're in

832
00:38:19,973 --> 00:38:24,093
Speaker 2: the best general youngest boys, the young I think you're as.

833
00:38:25,653 --> 00:38:25,773
Speaker 18: Well.

834
00:38:25,853 --> 00:38:26,773
Speaker 13: There we go, there go.

835
00:38:26,933 --> 00:38:27,133
Speaker 18: Look.

836
00:38:27,173 --> 00:38:31,693
Speaker 13: So I am run my own marketing business successful. I

837
00:38:31,773 --> 00:38:34,333
Speaker 13: went to go and hire. I really wanted to support

838
00:38:34,373 --> 00:38:36,693
Speaker 13: a young person coming out of university. So I was

839
00:38:36,733 --> 00:38:40,293
Speaker 13: looking for a videographer and I came across this young

840
00:38:40,333 --> 00:38:43,652
Speaker 13: gentleman who obviously remained nameless on this radio station, came

841
00:38:43,653 --> 00:38:46,173
Speaker 13: for an interview. We set out the questions, had a

842
00:38:46,173 --> 00:38:50,453
Speaker 13: good discussion before we even kicked off. He said to me, hey, mate,

843
00:38:50,533 --> 00:38:53,693
Speaker 13: can I take your twenty five k's worth of video

844
00:38:53,693 --> 00:38:55,173
Speaker 13: equipment to R and V with me?

845
00:38:59,413 --> 00:38:59,613
Speaker 18: Yeah?

846
00:38:59,733 --> 00:39:02,293
Speaker 21: Yeah, straight out the gate. So so just to go

847
00:39:02,413 --> 00:39:02,853
Speaker 21: back on.

848
00:39:02,773 --> 00:39:04,973
Speaker 13: That, like, I'd really love to be able to hire people,

849
00:39:04,973 --> 00:39:07,813
Speaker 13: and maybe i've been. You know, this has probably tarnished

850
00:39:07,853 --> 00:39:11,813
Speaker 13: me slightly for hiring people. But what happened to the

851
00:39:11,893 --> 00:39:15,133
Speaker 13: questions where you you know, you say, hey, look, I'm

852
00:39:15,133 --> 00:39:16,933
Speaker 13: really going to love this job. Can you tell me

853
00:39:17,173 --> 00:39:19,373
Speaker 13: what does my day to day look like? What am

854
00:39:19,413 --> 00:39:21,173
Speaker 13: I going to be doing in five years time? What

855
00:39:21,293 --> 00:39:24,413
Speaker 13: did it happen to those questions? Like it just seems

856
00:39:24,413 --> 00:39:26,573
Speaker 13: like it's disappeared. It's about money and things.

857
00:39:26,893 --> 00:39:29,933
Speaker 2: Yeah, yeah, well, I mean that's a crazy thing to

858
00:39:29,973 --> 00:39:32,933
Speaker 2: be demanding asking something you should be offering. At that

859
00:39:32,973 --> 00:39:34,772
Speaker 2: point when you're at the job interview, I would say,

860
00:39:34,973 --> 00:39:37,893
Speaker 2: but yeah, let's keep this chat going. After two o'clock,

861
00:39:37,933 --> 00:39:39,973
Speaker 2: see that the toilet, I know what time it is.

862
00:39:40,253 --> 00:39:42,333
Speaker 2: I can lock down because I'm gen X and I

863
00:39:42,373 --> 00:39:43,732
Speaker 2: going to read a clock read the time.

864
00:39:43,773 --> 00:39:46,093
Speaker 3: But we were used to digital, you know, I'm looking

865
00:39:46,093 --> 00:39:48,173
Speaker 3: at an analog up here. Keep with the times.

866
00:39:48,253 --> 00:39:51,293
Speaker 2: It's the hand points to in the little hand points to. Yeah,

867
00:39:51,333 --> 00:39:53,453
Speaker 2: recruits or the dicks in Australia have spoken out about

868
00:39:53,453 --> 00:39:55,453
Speaker 2: gen Z graduates. Are they too demanding?

869
00:39:55,613 --> 00:39:55,733
Speaker 24: Oh?

870
00:39:55,813 --> 00:39:57,772
Speaker 3: Weight one hundred and eighty ten eighty is a number

871
00:39:57,773 --> 00:39:59,933
Speaker 3: to call. Nine two ninety two is the text number.

872
00:39:59,973 --> 00:40:01,133
Speaker 3: Will see it on the other side.

873
00:40:03,013 --> 00:40:07,133
Speaker 1: Your new home for insightful and entertaining talk. It's Maddy

874
00:40:07,493 --> 00:40:11,133
Speaker 1: and Tyler a afternoons on news Talk Zevvy.

875
00:40:11,733 --> 00:40:15,493
Speaker 3: Good afternoon, Welcome back into the show at seven past two,

876
00:40:15,533 --> 00:40:18,013
Speaker 3: and we've been having a great conversation. It kicked off

877
00:40:18,013 --> 00:40:21,573
Speaker 3: with a story in the Herald gen z or Z

878
00:40:21,893 --> 00:40:25,413
Speaker 3: asking too much in the workplace. But it has evolved

879
00:40:25,693 --> 00:40:28,252
Speaker 3: and we're getting a lot of great texts coming through

880
00:40:28,453 --> 00:40:32,733
Speaker 3: from all generations. And I think, Matt, whatever generation you're in,

881
00:40:32,813 --> 00:40:34,253
Speaker 3: you look at the next one that came through and

882
00:40:34,253 --> 00:40:35,893
Speaker 3: think you were lazy buggers.

883
00:40:36,053 --> 00:40:38,013
Speaker 2: Yeah, it's interesting with this text here on nineteen nine

884
00:40:38,053 --> 00:40:40,093
Speaker 2: two Google people don't want to work anymore, and you'll

885
00:40:40,133 --> 00:40:43,453
Speaker 2: find newspaper clippings from eighteen ninety four through today complaining

886
00:40:43,453 --> 00:40:46,093
Speaker 2: about the entitled and lazy younger generation. It seems every

887
00:40:46,253 --> 00:40:48,573
Speaker 2: generation goes through the same cycle as the generation before.

888
00:40:48,573 --> 00:40:50,853
Speaker 2: And I was saying, I was reading some writings from

889
00:40:50,933 --> 00:40:55,133
Speaker 2: Seneca the Younger, who was a He was an advisor

890
00:40:55,173 --> 00:40:59,453
Speaker 2: to Nero, but he was a Roman businessman and philosopher

891
00:40:59,453 --> 00:41:01,813
Speaker 2: and writer, and he was talking about people complaining about

892
00:41:01,813 --> 00:41:04,893
Speaker 2: the young generation coming through in ancient Rome that were

893
00:41:05,093 --> 00:41:09,813
Speaker 2: lazy and entitled. And if you think about it, look,

894
00:41:09,813 --> 00:41:12,613
Speaker 2: there are difference between generations. But the Boomers were the hippies,

895
00:41:12,613 --> 00:41:15,053
Speaker 2: and everyone was worried about the Boomers. Then the Gen z's,

896
00:41:15,293 --> 00:41:20,013
Speaker 2: Gen x's, they were the slackers, the slacker generation you were.

897
00:41:20,293 --> 00:41:23,693
Speaker 2: And then millennials, well, you know, I don't think they're redeemable,

898
00:41:23,733 --> 00:41:27,413
Speaker 2: but now the Gen zs are being hassled as well.

899
00:41:27,493 --> 00:41:29,813
Speaker 3: What were millennials? Were we the emotional generation?

900
00:41:29,893 --> 00:41:30,172
Speaker 20: We were?

901
00:41:30,293 --> 00:41:35,013
Speaker 2: Yeah, you were the emotional You were the needing your

902
00:41:35,013 --> 00:41:37,893
Speaker 2: hand hold, You were the trying to change everything around

903
00:41:37,933 --> 00:41:41,212
Speaker 2: your feelings kind of generation. And you still are. To her, well,

904
00:41:41,213 --> 00:41:41,893
Speaker 2: we're a big.

905
00:41:41,693 --> 00:41:44,453
Speaker 3: We're a big generation. You know, I'm almost thirty nine.

906
00:41:45,453 --> 00:41:47,093
Speaker 3: I'm going to throw Mave under the bus here. She's

907
00:41:47,133 --> 00:41:48,933
Speaker 3: a younger millennial at thirty three. And I look at

908
00:41:48,933 --> 00:41:54,253
Speaker 3: her sometimes I think hard that, So how are you

909
00:41:54,293 --> 00:41:54,893
Speaker 3: this after date?

910
00:41:55,613 --> 00:41:55,773
Speaker 25: Good?

911
00:41:55,893 --> 00:41:59,573
Speaker 26: Thank you? You had a caller earlier on that mentions

912
00:41:59,653 --> 00:42:02,213
Speaker 26: that they should be working while they're at school to

913
00:42:02,293 --> 00:42:06,173
Speaker 26: learn work here acaus and what's acceptable. We're employers and

914
00:42:06,213 --> 00:42:10,653
Speaker 26: I'm a great believer of that myself. However, those student

915
00:42:10,733 --> 00:42:13,253
Speaker 26: jobs are going to all those people out there that

916
00:42:13,333 --> 00:42:18,133
Speaker 26: are supporting these self services at my teen, the warehouse, supermarkets,

917
00:42:18,613 --> 00:42:22,013
Speaker 26: they are all the student jobs and more for all

918
00:42:22,053 --> 00:42:24,453
Speaker 26: of us that are supporting them that don't get discounted

919
00:42:24,453 --> 00:42:28,373
Speaker 26: groceries because it's saving those companies employing staff students.

920
00:42:28,853 --> 00:42:30,613
Speaker 2: I see what he's saying, Yeah, because I went through

921
00:42:30,893 --> 00:42:34,373
Speaker 2: a fast food drive through the other day and I

922
00:42:34,453 --> 00:42:36,732
Speaker 2: was talking to the person, and then about halfway through

923
00:42:36,733 --> 00:42:40,333
Speaker 2: the order, I discovered that it was ai that I

924
00:42:40,373 --> 00:42:42,773
Speaker 2: wasn't actually talking to a human at all, really, and

925
00:42:42,933 --> 00:42:45,413
Speaker 2: I thought, hang on, that would be a great job

926
00:42:45,453 --> 00:42:47,213
Speaker 2: for someone, That would be a great job for a

927
00:42:47,253 --> 00:42:50,813
Speaker 2: young person, and I'm talking to this Creepyi. I didn't

928
00:42:50,893 --> 00:42:51,453
Speaker 2: like it at all.

929
00:42:52,413 --> 00:42:55,533
Speaker 26: No, Well, there you go, But kids, as I said,

930
00:42:55,573 --> 00:42:58,733
Speaker 26: we're employers and no one's going to like this. But

931
00:42:58,773 --> 00:43:01,133
Speaker 26: you don't know who I am. We had a role

932
00:43:01,333 --> 00:43:03,973
Speaker 26: that we wouldn't employ anyone under the age of thirty

933
00:43:04,013 --> 00:43:06,732
Speaker 26: six unless they had a mortgage or children because they

934
00:43:06,853 --> 00:43:11,413
Speaker 26: don't want to work. Yeah, and we've laid back on

935
00:43:11,493 --> 00:43:14,373
Speaker 26: the slightly since the three months all came out that

936
00:43:14,493 --> 00:43:16,693
Speaker 26: we can don't need a reason, We don't have to

937
00:43:16,733 --> 00:43:21,133
Speaker 26: have a PG against us for being unfar. But they

938
00:43:21,173 --> 00:43:22,053
Speaker 26: just don't want to work.

939
00:43:23,053 --> 00:43:26,973
Speaker 2: So you don't think it's a generational You think it's

940
00:43:26,973 --> 00:43:28,733
Speaker 2: an age thing, because that's sort of what I was

941
00:43:28,853 --> 00:43:30,652
Speaker 2: floating before. And I'm not sure if this is true

942
00:43:30,733 --> 00:43:33,973
Speaker 2: or not that we hassle gen zs now because I'm

943
00:43:34,013 --> 00:43:37,933
Speaker 2: gen X Tyler's millennial. I'm not sure generation you are,

944
00:43:38,413 --> 00:43:41,692
Speaker 2: but we hassle them because they're young. And all young

945
00:43:41,733 --> 00:43:44,293
Speaker 2: people are like that, because what you're saying is thirty

946
00:43:44,293 --> 00:43:47,213
Speaker 2: six is the age they need to be. It's not

947
00:43:47,253 --> 00:43:50,333
Speaker 2: the generation they're in. It's just the age and the

948
00:43:51,093 --> 00:43:53,212
Speaker 2: position you are in the time you are in life.

949
00:43:54,173 --> 00:43:57,253
Speaker 26: Yeah, it's definitely an age thing unless I've got a mortgage,

950
00:43:57,293 --> 00:44:01,293
Speaker 26: your kids. It's what's in it for me, wanting Monday itis,

951
00:44:01,293 --> 00:44:05,253
Speaker 26: Friday itis, it's everything. We now pay a bonus now

952
00:44:05,293 --> 00:44:09,772
Speaker 26: if they turn up five days in a row. Really, Yeah, yeah,

953
00:44:09,813 --> 00:44:12,093
Speaker 26: and it's worked, and they do it because they want

954
00:44:12,093 --> 00:44:15,053
Speaker 26: that bonus on top of their wages. It was the

955
00:44:15,093 --> 00:44:16,093
Speaker 26: best thing we ever did.

956
00:44:16,333 --> 00:44:18,053
Speaker 3: So at the moment, Sue, have you got no one

957
00:44:18,053 --> 00:44:20,053
Speaker 3: on staff that's under the age of thirty six.

958
00:44:21,013 --> 00:44:24,773
Speaker 26: So we have now once that three months came in. However,

959
00:44:24,813 --> 00:44:27,853
Speaker 26: we've turned quite a few younger ones around with a

960
00:44:27,853 --> 00:44:31,253
Speaker 26: lot of perseverance because we could see their potential. But

961
00:44:31,573 --> 00:44:33,973
Speaker 26: funny enough, we've got two younger ones in and both

962
00:44:33,973 --> 00:44:38,413
Speaker 26: of them are absolutely amazing. But before that three month

963
00:44:38,533 --> 00:44:42,573
Speaker 26: trial came in that we didn't have the risk of

964
00:44:42,573 --> 00:44:46,573
Speaker 26: a PG against stuff because they are very precious. We

965
00:44:46,613 --> 00:44:48,893
Speaker 26: wouldn't even give them the time of day, wouldn't even

966
00:44:48,933 --> 00:44:50,772
Speaker 26: interview them. Weren't interested.

967
00:44:51,173 --> 00:44:55,893
Speaker 2: Yeah, yeah, that is interesting, isn't it? And you certainly.

968
00:44:55,933 --> 00:44:58,333
Speaker 2: I mean I talked about this on the show potentially yesterday.

969
00:44:58,413 --> 00:45:00,613
Speaker 2: But the difference that it was when I had a

970
00:45:00,693 --> 00:45:04,333
Speaker 2: kid to my work ethic, I think that changed everything,

971
00:45:05,133 --> 00:45:09,813
Speaker 2: not necessarily my work ethic, but my Yeah, it changed

972
00:45:10,453 --> 00:45:13,533
Speaker 2: what I believed was important in life, which was paying

973
00:45:13,573 --> 00:45:15,573
Speaker 2: them or because you're looking after the skids of providing.

974
00:45:15,733 --> 00:45:17,973
Speaker 2: So we all didn't end up on the street providing

975
00:45:18,053 --> 00:45:19,053
Speaker 2: is a strong motivator.

976
00:45:19,213 --> 00:45:21,733
Speaker 3: Yeah. So do you think part of it was after

977
00:45:21,813 --> 00:45:24,293
Speaker 3: COVID and we knew how tight the job market was

978
00:45:24,333 --> 00:45:26,773
Speaker 3: and if you wanted a job and you were somewhat competent,

979
00:45:26,853 --> 00:45:29,413
Speaker 3: you could get a job. That quickly changed. Do you

980
00:45:29,453 --> 00:45:31,893
Speaker 3: think that kind of mentality was a bit ingrained with

981
00:45:31,933 --> 00:45:34,493
Speaker 3: the newcomers, as in they say, you know, there's plenty

982
00:45:34,493 --> 00:45:37,213
Speaker 3: of job to go about. I'm doing your favor rather

983
00:45:37,293 --> 00:45:39,213
Speaker 3: than the other way around, that you're doing them a

984
00:45:39,213 --> 00:45:40,413
Speaker 3: favor by giving them a job.

985
00:45:40,773 --> 00:45:44,613
Speaker 26: Well, for the past, I would say fifteen years, we're

986
00:45:44,653 --> 00:45:49,373
Speaker 26: in the shade, so hands on, I would advertise apprenticeships,

987
00:45:49,653 --> 00:45:53,413
Speaker 26: beginner applications that would all the training, and I'd be

988
00:45:53,493 --> 00:45:59,252
Speaker 26: lucky to get one applicant in four months of advertising. Wow,

989
00:45:59,293 --> 00:46:01,533
Speaker 26: you wouldn't even get a school leader. I wouldn't get

990
00:46:01,573 --> 00:46:06,453
Speaker 26: anyone trying. But since COVID, yes, it's turned around completely,

991
00:46:06,493 --> 00:46:08,133
Speaker 26: which is quite nice for us for a chu.

992
00:46:08,573 --> 00:46:08,772
Speaker 4: Yeah.

993
00:46:09,053 --> 00:46:10,533
Speaker 2: Now, so I've got a text here that I've got

994
00:46:10,573 --> 00:46:11,853
Speaker 2: to read out to you. Tell me what you think

995
00:46:11,893 --> 00:46:16,733
Speaker 2: about this. The woman owning employing over thirty six old

996
00:46:16,853 --> 00:46:20,253
Speaker 2: or with kids with a mortgage's agist, elitist and well pragmatic,

997
00:46:20,293 --> 00:46:22,533
Speaker 2: probably illegal. As a single woman with no children, I

998
00:46:22,613 --> 00:46:24,213
Speaker 2: take real umbrage to that.

999
00:46:24,333 --> 00:46:27,373
Speaker 26: What do you say, Oh, I absolutely expected that to

1000
00:46:27,413 --> 00:46:29,293
Speaker 26: be said. I'm only saying it because no one knows

1001
00:46:29,293 --> 00:46:32,613
Speaker 26: who I am. And as I've said, I do have

1002
00:46:34,213 --> 00:46:36,613
Speaker 26: too young that if she had been self employed and

1003
00:46:36,653 --> 00:46:39,333
Speaker 26: been in business, I could write a book on the

1004
00:46:39,453 --> 00:46:42,252
Speaker 26: horrible things staff have done to us. And we've done

1005
00:46:42,293 --> 00:46:45,613
Speaker 26: so much for them, to lending the money to them

1006
00:46:45,693 --> 00:46:49,733
Speaker 26: saying and not paying us back, to leaning them vehicles

1007
00:46:49,773 --> 00:46:53,133
Speaker 26: to get in the vehicles back completely ruined, to everything,

1008
00:46:53,173 --> 00:46:56,533
Speaker 26: to helping them getting into houses. We are good employers.

1009
00:46:56,813 --> 00:47:00,453
Speaker 26: But and as I says, I appreciate her, she's probably

1010
00:47:00,453 --> 00:47:04,013
Speaker 26: one in the few. I could write a book on

1011
00:47:04,173 --> 00:47:06,453
Speaker 26: everything that's happened to us as employers.

1012
00:47:07,013 --> 00:47:09,333
Speaker 2: Yeah, And how do you know if an employee, a

1013
00:47:09,373 --> 00:47:13,093
Speaker 2: potential employee, has kids or a mortgage?

1014
00:47:13,373 --> 00:47:14,693
Speaker 4: Do you talk to them?

1015
00:47:14,773 --> 00:47:15,373
Speaker 2: You just talk to them.

1016
00:47:15,653 --> 00:47:19,053
Speaker 26: I employ the person, I don't employ their experience. It's

1017
00:47:19,093 --> 00:47:21,813
Speaker 26: how they walk in. If they've got a bounce to

1018
00:47:21,853 --> 00:47:23,813
Speaker 26: their steps and they're looking in a jetic they look

1019
00:47:23,893 --> 00:47:26,652
Speaker 26: me in the eye, they smile, but then again, I've

1020
00:47:26,693 --> 00:47:28,533
Speaker 26: had a few shy ones that I could hardly get

1021
00:47:28,573 --> 00:47:31,493
Speaker 26: a word out of. I just read the person. It's

1022
00:47:31,533 --> 00:47:33,933
Speaker 26: all about the person to me, because someone's got to

1023
00:47:33,933 --> 00:47:34,813
Speaker 26: be given a chance.

1024
00:47:35,213 --> 00:47:36,692
Speaker 2: Yeah, I will think of you call suit.

1025
00:47:36,893 --> 00:47:39,373
Speaker 3: Yeah very interesting. Oh eight hundred and eighty ten eighty

1026
00:47:39,533 --> 00:47:41,173
Speaker 3: is the number to call love to hear from you

1027
00:47:41,253 --> 00:47:44,293
Speaker 3: on this one quick text to the break. Hi, guys,

1028
00:47:44,533 --> 00:47:48,653
Speaker 3: I think Gen X have been too soft at raising

1029
00:47:48,693 --> 00:47:51,853
Speaker 3: their kids, giving them whatever they want, leading to them

1030
00:47:51,893 --> 00:47:53,653
Speaker 3: having high expectations. Well, there you go.

1031
00:47:53,853 --> 00:47:55,853
Speaker 2: That is always the elephant in the room, isn't it?

1032
00:47:55,933 --> 00:47:59,173
Speaker 2: So when older generations hastle younger generations? Who made the

1033
00:47:59,213 --> 00:48:03,172
Speaker 2: younger generations who they are? The older generation? It's how

1034
00:48:03,253 --> 00:48:05,413
Speaker 2: we've brought them up. It's how the boomer's brought the

1035
00:48:05,453 --> 00:48:08,533
Speaker 2: exes up, and how the exes brought up The X

1036
00:48:08,573 --> 00:48:10,293
Speaker 2: has kind of brought up millennials. It doesn't work like that,

1037
00:48:10,293 --> 00:48:13,093
Speaker 2: can an ex I'm trying to work out how the

1038
00:48:13,133 --> 00:48:13,772
Speaker 2: generations work.

1039
00:48:13,813 --> 00:48:15,613
Speaker 3: We'll do some maths on it.

1040
00:48:15,693 --> 00:48:18,173
Speaker 2: But the thing is it is it is true you

1041
00:48:18,253 --> 00:48:21,373
Speaker 2: produce the next generation. The current generation produces the next generation.

1042
00:48:21,813 --> 00:48:23,093
Speaker 3: That is quarter past to.

1043
00:48:24,733 --> 00:48:29,973
Speaker 1: Your new home of Afternoon Talk, Adams Afternoon Call, eight

1044
00:48:30,053 --> 00:48:32,133
Speaker 1: hundred eighty gen eighty New Talk.

1045
00:48:33,653 --> 00:48:37,973
Speaker 3: Good afternoon. It's eighteen past two. Richard A. Gen Z

1046
00:48:38,333 --> 00:48:39,133
Speaker 3: too entitled?

1047
00:48:40,253 --> 00:48:41,453
Speaker 2: Sorry gen Z?

1048
00:48:42,173 --> 00:48:43,293
Speaker 3: Are they too entitled?

1049
00:48:46,653 --> 00:48:51,693
Speaker 4: I don't there various people have always been two insitled,

1050
00:48:51,773 --> 00:48:53,373
Speaker 4: mainly the ones who got in university.

1051
00:48:53,773 --> 00:48:53,853
Speaker 25: No.

1052
00:48:54,133 --> 00:48:56,533
Speaker 4: I was going to say, is my daughter works. She's

1053
00:48:56,693 --> 00:48:58,413
Speaker 4: we're in christ she works on the management team for

1054
00:48:58,453 --> 00:49:01,933
Speaker 4: a shipermarket And about two years ago people were About

1055
00:49:01,933 --> 00:49:03,693
Speaker 4: a year ago, people were turning up in their pajamas

1056
00:49:03,693 --> 00:49:06,813
Speaker 4: for job interviews because the employment office said you've got

1057
00:49:06,853 --> 00:49:07,893
Speaker 4: to go for an interview, and then they want to

1058
00:49:07,933 --> 00:49:10,133
Speaker 4: be signed up. Often, of course she'd say go away

1059
00:49:10,253 --> 00:49:13,293
Speaker 4: or worse that effect. Now for a meat packer job

1060
00:49:14,093 --> 00:49:17,053
Speaker 4: in the butchery, she had one hundred and seventy five

1061
00:49:17,173 --> 00:49:22,293
Speaker 4: appetants through laboring job since the change of government. So

1062
00:49:22,453 --> 00:49:27,813
Speaker 4: there's something there. But another thing with employment generally we

1063
00:49:27,973 --> 00:49:33,213
Speaker 4: teach the wrong things. We offer the wrong subjects to

1064
00:49:34,013 --> 00:49:38,693
Speaker 4: school children. I mean, who the hell does advanced mathematics

1065
00:49:38,733 --> 00:49:41,933
Speaker 4: or science? You know that this push you've got to

1066
00:49:41,973 --> 00:49:43,613
Speaker 4: be able to do that. Hey, you need to be

1067
00:49:43,613 --> 00:49:47,773
Speaker 4: able to weld, use a grinder, drive a truck in

1068
00:49:47,893 --> 00:49:50,333
Speaker 4: the midst of the jobs that they pay reasonably well

1069
00:49:50,813 --> 00:49:53,173
Speaker 4: and you can always fall back on. I've been a

1070
00:49:53,213 --> 00:49:57,692
Speaker 4: truck driver for almost sixty years on and off, worked

1071
00:49:57,733 --> 00:49:59,853
Speaker 4: in the electronics industry and very well, worked in does

1072
00:49:59,893 --> 00:50:02,173
Speaker 4: of other industries. But I've always got that, you know,

1073
00:50:02,213 --> 00:50:05,413
Speaker 4: to fall back on. There's always jobs in specific areas.

1074
00:50:05,653 --> 00:50:09,293
Speaker 4: I mean even there's only digging bitches. Yeah, and don't

1075
00:50:09,653 --> 00:50:11,773
Speaker 4: be a jobs not That's the other thing I hear people. Oh,

1076
00:50:11,893 --> 00:50:14,373
Speaker 4: I was a manager for thirty years. Yeah not now,

1077
00:50:14,893 --> 00:50:18,453
Speaker 4: nobody wants youself some skills at work?

1078
00:50:18,693 --> 00:50:21,613
Speaker 2: Yeah, Richard, Can I just ask this slightly off topic,

1079
00:50:21,653 --> 00:50:24,573
Speaker 2: but where are you? Where's your accent from? You sound

1080
00:50:24,613 --> 00:50:28,173
Speaker 2: like Stephen Merchant, you know from Ricky Gervas and Stephen Merchant,

1081
00:50:28,173 --> 00:50:29,933
Speaker 2: the guys that have entered the office, So you thought

1082
00:50:31,013 --> 00:50:35,293
Speaker 2: not as tall. But are you from a similar areas Hampshire, Hampshire?

1083
00:50:35,373 --> 00:50:36,213
Speaker 3: Yeah, I love that.

1084
00:50:36,893 --> 00:50:40,413
Speaker 2: Yeah, it's fantastic, I guess I mean, what if you

1085
00:50:40,573 --> 00:50:45,253
Speaker 2: We definitely do need the people that study advanced mathematics,

1086
00:50:45,253 --> 00:50:47,973
Speaker 2: and we need the engineers out there as well.

1087
00:50:48,453 --> 00:50:51,253
Speaker 4: So they've been pushing out on everybody. Yeah, and engineering

1088
00:50:51,253 --> 00:50:54,172
Speaker 4: strictly limited if you're just talking mechanical engineering or you're

1089
00:50:54,173 --> 00:50:58,053
Speaker 4: talking theoretical engineering. I used to be what was called

1090
00:50:58,053 --> 00:51:02,133
Speaker 4: a prototype wireman back in sixty eight. It was basically

1091
00:51:02,173 --> 00:51:07,213
Speaker 4: you're taking a paper full of scribbles and converting it

1092
00:51:07,293 --> 00:51:11,172
Speaker 4: into a functioning electronic device, which looked as ugly as mud.

1093
00:51:12,253 --> 00:51:16,253
Speaker 4: I'm dyslexic, but this being Dix again, just skilled work

1094
00:51:16,293 --> 00:51:19,853
Speaker 4: in the area. So every everybody's got skills everything you can

1095
00:51:19,933 --> 00:51:21,133
Speaker 4: use them. You just got to get off your ass

1096
00:51:21,173 --> 00:51:21,652
Speaker 4: and go out.

1097
00:51:21,893 --> 00:51:25,493
Speaker 3: Yeah, when you first got into truck driving, Richard, was

1098
00:51:25,533 --> 00:51:27,653
Speaker 3: that difficult to get your first job and be given

1099
00:51:27,693 --> 00:51:28,333
Speaker 3: a given a go.

1100
00:51:29,733 --> 00:51:33,652
Speaker 4: Well, we're coming back sixty years and it wasn't some

1101
00:51:33,693 --> 00:51:37,133
Speaker 4: when you didn't even license sixty years ago in England

1102
00:51:37,213 --> 00:51:39,453
Speaker 4: to drive a truck. What happened was we were on

1103
00:51:39,493 --> 00:51:42,533
Speaker 4: a farm. My father was a farm farm worker, and

1104
00:51:42,613 --> 00:51:45,053
Speaker 4: we were there and come harvest time they needed somebody

1105
00:51:45,093 --> 00:51:48,172
Speaker 4: driver a truck around the field. Okay, get grain at

1106
00:51:48,173 --> 00:51:50,652
Speaker 4: the header harvester. And I just took it from there

1107
00:51:50,653 --> 00:51:52,413
Speaker 4: and we wound up working for a tay owning company

1108
00:51:53,853 --> 00:51:56,453
Speaker 4: and then got back into electronics. So I've been made

1109
00:51:56,453 --> 00:51:58,333
Speaker 4: her done at three times in four years. In England

1110
00:51:58,373 --> 00:52:00,333
Speaker 4: in the in the in the sixties and seventies, you know,

1111
00:52:00,893 --> 00:52:02,453
Speaker 4: so you took whatever you could because there wasn't much

1112
00:52:02,453 --> 00:52:03,573
Speaker 4: to fall back on in those days.

1113
00:52:04,213 --> 00:52:07,013
Speaker 2: Now now, Richard, back in that day, because we're talking

1114
00:52:07,013 --> 00:52:09,933
Speaker 2: about our recruiters across Thisutraelia speaking out about gen Z

1115
00:52:10,053 --> 00:52:12,533
Speaker 2: graduates and Barnes as employees, saying they're arrogant and their

1116
00:52:12,573 --> 00:52:15,213
Speaker 2: expectations leaving a bad taste in their mouths. Back in

1117
00:52:15,333 --> 00:52:18,172
Speaker 2: that day, if you're going back sixty years, were there

1118
00:52:18,213 --> 00:52:20,893
Speaker 2: people like that around then? People that they were there.

1119
00:52:20,933 --> 00:52:26,772
Speaker 4: Yeah, Daddy paid for my education, he gets it not much, yeah, yeah,

1120
00:52:27,453 --> 00:52:29,093
Speaker 4: And there was the old boy network of course. You know,

1121
00:52:29,133 --> 00:52:31,173
Speaker 4: if you had if you had a degree from Saoltera

1122
00:52:31,253 --> 00:52:34,053
Speaker 4: at Cambridge, then you were basically entitled a job in

1123
00:52:34,093 --> 00:52:36,573
Speaker 4: the civil service, which you think you can bleed mum,

1124
00:52:37,733 --> 00:52:39,973
Speaker 4: but you got well paid and if you stayed in

1125
00:52:39,973 --> 00:52:42,573
Speaker 4: that job, you get a huge pension after you've suffered

1126
00:52:42,573 --> 00:52:44,853
Speaker 4: fifty years working there. I a friend of mine who

1127
00:52:44,933 --> 00:52:49,293
Speaker 4: just recently passed, he did just that, and yeah, he

1128
00:52:50,533 --> 00:52:52,973
Speaker 4: was sick in two short planks, but he just stayed

1129
00:52:52,973 --> 00:52:54,573
Speaker 4: there and stayed there and stayed there, and he left

1130
00:52:54,573 --> 00:52:55,493
Speaker 4: with a mass at tension.

1131
00:52:56,133 --> 00:52:58,573
Speaker 2: So potentially I'm just floating this idea and I'll probably

1132
00:52:58,573 --> 00:53:00,453
Speaker 2: get a lot of kickback on this on eight hundred

1133
00:53:00,453 --> 00:53:03,172
Speaker 2: and eighteen eighty. But maybe it's not a gen Z thing.

1134
00:53:03,373 --> 00:53:08,613
Speaker 2: Maybe it's just a person thing. And different generations start

1135
00:53:08,653 --> 00:53:12,133
Speaker 2: off being a person that gets into a job, and

1136
00:53:12,213 --> 00:53:14,373
Speaker 2: if you are a person with a certain mindset, then

1137
00:53:14,373 --> 00:53:16,453
Speaker 2: you may end up being the person that manages people.

1138
00:53:16,653 --> 00:53:18,373
Speaker 2: And then you look back and then you see a

1139
00:53:18,413 --> 00:53:20,973
Speaker 2: bunch of generation or people coming through with making demands

1140
00:53:20,973 --> 00:53:23,853
Speaker 2: and being a certain type person and not working hard

1141
00:53:23,893 --> 00:53:26,133
Speaker 2: and making demands, and then you think that that's that

1142
00:53:26,213 --> 00:53:29,253
Speaker 2: whole generation. But I was saying before about the Roman

1143
00:53:29,253 --> 00:53:32,333
Speaker 2: writer Seneca and how he was saying that writing about

1144
00:53:32,333 --> 00:53:34,333
Speaker 2: this and that back in that day, and someone's text

1145
00:53:34,453 --> 00:53:37,813
Speaker 2: through Seneca was referencing to an even older similar statement

1146
00:53:37,813 --> 00:53:41,813
Speaker 2: from Socrates and Asian Greek, So all the way back

1147
00:53:42,813 --> 00:53:46,293
Speaker 2: to Socrates. Yeah, people have been saying that the young generation,

1148
00:53:46,413 --> 00:53:50,013
Speaker 2: saying things like these Australian recruiters across the desk that

1149
00:53:50,133 --> 00:53:53,133
Speaker 2: you're saying now about gen Z, they've been saying about

1150
00:53:53,133 --> 00:53:55,373
Speaker 2: what no one knows what that generation was called that

1151
00:53:55,413 --> 00:53:57,333
Speaker 2: Socrates was talking about. I don't even if they know

1152
00:53:57,333 --> 00:53:59,813
Speaker 2: if they had a name, a generational or a name.

1153
00:54:00,013 --> 00:54:03,213
Speaker 2: Maybe it's maybe it's just some people come through when

1154
00:54:03,253 --> 00:54:06,933
Speaker 2: they're young and they don't have the attitude that's going

1155
00:54:06,973 --> 00:54:08,213
Speaker 2: to get them a hit grit.

1156
00:54:08,413 --> 00:54:09,453
Speaker 3: You're talking about grit?

1157
00:54:10,493 --> 00:54:13,333
Speaker 2: Yeah, I mean maybe, yeah, Maybe I don't I mean,

1158
00:54:13,533 --> 00:54:15,173
Speaker 2: what does grip mean? Yeah, I don't know. Maybe I

1159
00:54:15,173 --> 00:54:17,373
Speaker 2: don't know what it is. But maybe there's some people

1160
00:54:17,373 --> 00:54:19,813
Speaker 2: that always there's a certain amount of people that feel

1161
00:54:19,813 --> 00:54:22,853
Speaker 2: they deserve more, yeah than there than they're worth.

1162
00:54:23,213 --> 00:54:25,173
Speaker 3: Richard, thank you very much for giving us a buzz.

1163
00:54:25,173 --> 00:54:27,172
Speaker 3: Oh eight hundred eighty ten eighty is a number to call,

1164
00:54:27,413 --> 00:54:29,013
Speaker 3: love to hear from you on this one. It's twenty

1165
00:54:29,053 --> 00:54:29,732
Speaker 3: four past two.

1166
00:54:34,453 --> 00:54:38,133
Speaker 1: Matt Heathen, Taylor Adams afternoons call oh eight hundred eighty

1167
00:54:38,213 --> 00:54:40,053
Speaker 1: ten eighty on News Talk ZIB.

1168
00:54:39,973 --> 00:54:40,893
Speaker 3: Twenty six past two.

1169
00:54:40,933 --> 00:54:44,053
Speaker 2: We're talking about gen Z grads because recruiters across and

1170
00:54:44,173 --> 00:54:48,253
Speaker 2: Australia have spoken out saying that gen Z graduates are

1171
00:54:48,333 --> 00:54:51,013
Speaker 2: arrogant and have expectations of living. Bad taste in the mouth.

1172
00:54:51,013 --> 00:54:54,333
Speaker 2: But it turned into a generational war, which I'm enjoying.

1173
00:54:54,973 --> 00:54:56,933
Speaker 2: This textra on nine two nine two says gen Z

1174
00:54:57,173 --> 00:54:59,733
Speaker 2: are a bunch of socks raised mainly by gen X

1175
00:54:59,813 --> 00:55:02,493
Speaker 2: losers like you, Matt, Millennials are the only sane ones.

1176
00:55:02,733 --> 00:55:07,653
Speaker 3: Yep. Good texts ITAs that through actually Jeanettes.

1177
00:55:07,133 --> 00:55:07,573
Speaker 2: How are you?

1178
00:55:08,373 --> 00:55:09,973
Speaker 4: I'm good to thank you, how are you good?

1179
00:55:10,333 --> 00:55:14,613
Speaker 3: So gen Z's workers, what's your thoughts on how they're

1180
00:55:14,773 --> 00:55:15,613
Speaker 3: entering the workforce?

1181
00:55:16,533 --> 00:55:19,213
Speaker 19: So I was thinking probably more in a general sense

1182
00:55:19,693 --> 00:55:23,252
Speaker 19: that parents pay a part and work ethic for young

1183
00:55:23,333 --> 00:55:26,413
Speaker 19: people which have a generation. So so I'm fifty three, my

1184
00:55:26,533 --> 00:55:29,413
Speaker 19: girls are now twenty two and twenty four. I mean

1185
00:55:29,493 --> 00:55:32,533
Speaker 19: they started out as young people with a paper around,

1186
00:55:33,133 --> 00:55:34,853
Speaker 19: you know, when they were eleven or twelve, with the

1187
00:55:34,893 --> 00:55:39,773
Speaker 19: assistance of their mother, and it taught them expectations and

1188
00:55:40,493 --> 00:55:44,173
Speaker 19: meeting being accountable for something. They put a little bit

1189
00:55:44,173 --> 00:55:48,333
Speaker 19: of money in their bank accounts, so if they wanted

1190
00:55:48,333 --> 00:55:50,293
Speaker 19: something at the shops, I'm like, sure you can have that,

1191
00:55:50,413 --> 00:55:52,373
Speaker 19: and they're like, do I have to pay? Well you

1192
00:55:52,413 --> 00:55:54,933
Speaker 19: and I said, well you can pay, and then they

1193
00:55:54,933 --> 00:55:56,973
Speaker 19: didn't want it because they didn't want to use their

1194
00:55:57,013 --> 00:56:00,653
Speaker 19: own money. So it just toured an all round behavior

1195
00:56:01,893 --> 00:56:05,573
Speaker 19: as young people. And then I heard someone saying earlier,

1196
00:56:05,773 --> 00:56:09,333
Speaker 19: they went out as teenagers and got themself jobed and

1197
00:56:09,373 --> 00:56:11,413
Speaker 19: they sort of had a night and of course watching

1198
00:56:11,453 --> 00:56:15,533
Speaker 19: your parents go it was QBJA is another vital part

1199
00:56:15,573 --> 00:56:16,093
Speaker 19: of the moving.

1200
00:56:16,893 --> 00:56:20,333
Speaker 2: Yeah. With my my son Jannette, when he first got

1201
00:56:20,373 --> 00:56:23,133
Speaker 2: his job working in a cafe, he started talking about

1202
00:56:23,173 --> 00:56:26,613
Speaker 2: how much stuff costs per hour and he wouldn't want

1203
00:56:26,613 --> 00:56:29,732
Speaker 2: me to buy things. I'd go to buy and would

1204
00:56:29,773 --> 00:56:31,773
Speaker 2: be able at a restaurant or something and I'd be

1205
00:56:31,813 --> 00:56:34,613
Speaker 2: about to buy this, get the steak, and he'd be like, oh, no,

1206
00:56:35,413 --> 00:56:37,253
Speaker 2: that's an hour and a half's work.

1207
00:56:37,773 --> 00:56:39,013
Speaker 3: Half a day for a state.

1208
00:56:39,773 --> 00:56:43,053
Speaker 19: Understand how you know that to get something you have

1209
00:56:43,133 --> 00:56:45,533
Speaker 19: to do something, and that's how it should be. My

1210
00:56:45,653 --> 00:56:49,773
Speaker 19: aim with my girls was to raise two accountable citizens

1211
00:56:49,773 --> 00:56:52,933
Speaker 19: in the world, you know, who contributed and did good

1212
00:56:53,413 --> 00:56:55,893
Speaker 19: and they have because I think we put in a

1213
00:56:55,893 --> 00:56:58,893
Speaker 19: lot of work with them helping them understand how it

1214
00:56:58,933 --> 00:57:01,573
Speaker 19: won't you know, I wonder if that goes on as

1215
00:57:01,613 --> 00:57:02,333
Speaker 19: much as it should.

1216
00:57:02,733 --> 00:57:04,453
Speaker 2: Yeah, well, you sound like a good you'd be a

1217
00:57:04,493 --> 00:57:09,733
Speaker 2: gen X parient, I believe. Did you say you're straining three? Yeah? Yeah,

1218
00:57:09,773 --> 00:57:11,293
Speaker 2: I think I think that makes you a gen X

1219
00:57:11,333 --> 00:57:13,413
Speaker 2: because gen X parents have been getting a bit of

1220
00:57:13,453 --> 00:57:17,413
Speaker 2: stick on the saying that we're the ones that have

1221
00:57:17,573 --> 00:57:20,613
Speaker 2: produced these the gen z is that are causing the problems.

1222
00:57:21,813 --> 00:57:23,373
Speaker 19: The other thing I was going to add as well,

1223
00:57:23,533 --> 00:57:27,213
Speaker 19: sorry at the schools, and I had to sort of

1224
00:57:27,573 --> 00:57:30,413
Speaker 19: put my girls back into a reality check. I'm sure

1225
00:57:30,453 --> 00:57:33,253
Speaker 19: the schools are telling them, oh, you pick a job,

1226
00:57:33,293 --> 00:57:35,613
Speaker 19: and you should love going to work every day and

1227
00:57:35,813 --> 00:57:38,853
Speaker 19: you know, have a great time and enjoy every minute. Well,

1228
00:57:38,853 --> 00:57:39,413
Speaker 19: I said to my.

1229
00:57:39,693 --> 00:57:40,293
Speaker 7: It's not real.

1230
00:57:41,173 --> 00:57:42,453
Speaker 18: Yeah, it's not many.

1231
00:57:42,253 --> 00:57:44,253
Speaker 19: People in the world who leap had a bed every

1232
00:57:44,333 --> 00:57:47,773
Speaker 19: day and say your pee you I'm going to work today. Yeah,

1233
00:57:47,853 --> 00:57:51,053
Speaker 19: it isn't real. And I think a lot of them

1234
00:57:51,413 --> 00:57:53,533
Speaker 19: might believe it to be that they should love every

1235
00:57:53,573 --> 00:57:57,213
Speaker 19: moment of what they do. Yeah, as soon as you

1236
00:57:57,213 --> 00:57:58,573
Speaker 19: have a job and you have to do it, I

1237
00:57:58,613 --> 00:58:00,933
Speaker 19: mean they're already begin to not like it so much

1238
00:58:01,093 --> 00:58:04,133
Speaker 19: because you don't like me that you have to do it,

1239
00:58:04,213 --> 00:58:04,493
Speaker 19: you know.

1240
00:58:05,053 --> 00:58:07,733
Speaker 2: Yeah, I think there's actually I believe there's a problem

1241
00:58:07,733 --> 00:58:10,293
Speaker 2: in telling everyone that they're special and that they're going

1242
00:58:10,373 --> 00:58:13,533
Speaker 2: to need to follow their dreams and be the most

1243
00:58:13,533 --> 00:58:16,733
Speaker 2: amazing person they can be, because really, that isn't the

1244
00:58:16,733 --> 00:58:18,933
Speaker 2: life that makes you happy. Just a life where you

1245
00:58:18,973 --> 00:58:23,253
Speaker 2: have friends and you have family, and you have a

1246
00:58:23,333 --> 00:58:25,893
Speaker 2: job and you know people is enough. And going back

1247
00:58:25,933 --> 00:58:28,573
Speaker 2: to the most famous gen X movie of all time,

1248
00:58:28,693 --> 00:58:30,373
Speaker 2: you know, the most gen X movie of all time,

1249
00:58:30,373 --> 00:58:32,693
Speaker 2: I'd say was Fight Club and the book by Chuck

1250
00:58:32,773 --> 00:58:36,293
Speaker 2: Pallianak and there's a great quote from that. We've all

1251
00:58:36,293 --> 00:58:38,373
Speaker 2: been raised on television to believe that one day we'll

1252
00:58:38,413 --> 00:58:40,653
Speaker 2: all be millionaires, movie gods and rock stars. But we

1253
00:58:40,693 --> 00:58:42,973
Speaker 2: won't be and we're slowly learning that fact and we're

1254
00:58:43,053 --> 00:58:43,933
Speaker 2: very angry about it.

1255
00:58:44,453 --> 00:58:44,933
Speaker 3: Great line.

1256
00:58:45,493 --> 00:58:47,493
Speaker 2: It's a bad thing to tell young people that you

1257
00:58:47,573 --> 00:58:49,973
Speaker 2: have to live in a life less ordinary and an

1258
00:58:49,973 --> 00:58:53,613
Speaker 2: incredibly extraordinary life, because so few people get to do it.

1259
00:58:54,253 --> 00:58:56,933
Speaker 2: You just need you just need to live a life.

1260
00:58:56,973 --> 00:58:59,213
Speaker 2: Some of it's going to be punishing and some of

1261
00:58:59,253 --> 00:59:03,533
Speaker 2: it is going to be great. But it's so cruel

1262
00:59:03,573 --> 00:59:05,533
Speaker 2: to tell people that they're not going to be happy

1263
00:59:05,573 --> 00:59:08,573
Speaker 2: and that their life isn't good or worthwhile unless a

1264
00:59:08,733 --> 00:59:11,893
Speaker 2: very very special and I think it's.

1265
00:59:11,773 --> 00:59:14,933
Speaker 19: Not realistic and it could be some problem that there's

1266
00:59:14,973 --> 00:59:18,013
Speaker 19: an expectation that it's going to be all that and

1267
00:59:18,253 --> 00:59:21,413
Speaker 19: you step into the workforce with the top salary without

1268
00:59:21,453 --> 00:59:23,573
Speaker 19: doing the steps to climb the ladder. You know, if

1269
00:59:23,573 --> 00:59:26,533
Speaker 19: you start at the bottom, everybody has to work your

1270
00:59:26,573 --> 00:59:26,933
Speaker 19: way out.

1271
00:59:27,253 --> 00:59:30,053
Speaker 3: Yeah, go on, you sound like a great mum, Jeanette.

1272
00:59:30,053 --> 00:59:32,973
Speaker 3: Thank you very much for calling through just on the

1273
00:59:33,093 --> 00:59:35,573
Speaker 3: idea of a job as a student. Do you think

1274
00:59:35,653 --> 00:59:38,733
Speaker 3: that is lost in the younger generations? Is because when

1275
00:59:38,773 --> 00:59:41,173
Speaker 3: I was fifteen, it was kind of I don't ever

1276
00:59:41,253 --> 00:59:43,573
Speaker 3: say I go and get a supermarket job. That was

1277
00:59:43,653 --> 00:59:45,853
Speaker 3: what I didn't even think there was an option. I

1278
00:59:46,013 --> 00:59:49,133
Speaker 3: at that point Mum decided that hey, if you want

1279
00:59:49,133 --> 00:59:50,413
Speaker 3: things in life, you're going to have to pay for

1280
00:59:50,413 --> 00:59:53,293
Speaker 3: it yourself. So I went to go get a supermarket

1281
00:59:53,333 --> 00:59:55,453
Speaker 3: job and then work at a fish factory, and on

1282
00:59:55,493 --> 00:59:58,293
Speaker 3: and on and on it went. And the fish factory

1283
00:59:58,333 --> 01:00:01,093
Speaker 3: that was great money, but really really tough job.

1284
01:00:01,413 --> 01:00:02,933
Speaker 2: Yes, someone once said to me, one of the best

1285
01:00:02,973 --> 01:00:05,133
Speaker 2: things to do for kids is keep them broken tired,

1286
01:00:06,293 --> 01:00:09,013
Speaker 2: so don't give them much money and get them into

1287
01:00:09,053 --> 01:00:10,893
Speaker 2: a lot of sport, and then that's the best way

1288
01:00:10,893 --> 01:00:14,013
Speaker 2: to set them up in life. Because because if you

1289
01:00:14,373 --> 01:00:17,373
Speaker 2: want a car, and I know that as a young

1290
01:00:17,373 --> 01:00:19,973
Speaker 2: boy coming up, all I wanted was a car, and

1291
01:00:20,213 --> 01:00:22,813
Speaker 2: if your parents buy your car, then you think that

1292
01:00:22,933 --> 01:00:26,493
Speaker 2: cars just appear. But if you work your butt off

1293
01:00:26,573 --> 01:00:29,453
Speaker 2: and get a car, then that car means so very

1294
01:00:29,573 --> 01:00:32,733
Speaker 2: much to you. But the question is can can kids

1295
01:00:32,773 --> 01:00:35,173
Speaker 2: get those jobs? Are people giving them the chance? And

1296
01:00:35,253 --> 01:00:37,733
Speaker 2: as the caller said before, a lot of those jobs

1297
01:00:37,773 --> 01:00:42,693
Speaker 2: are being replaced by automatic checkouts and you know automation.

1298
01:00:42,893 --> 01:00:44,613
Speaker 2: As I said before when I went through that drive

1299
01:00:44,653 --> 01:00:47,133
Speaker 2: through and it was AI, here's a text through. I

1300
01:00:47,173 --> 01:00:50,173
Speaker 2: own a hospital business plus retail store, being in business

1301
01:00:50,173 --> 01:00:52,293
Speaker 2: thirty years, and I can tell you now eighty percent

1302
01:00:52,333 --> 01:00:55,253
Speaker 2: of gen z are completely useless, no initiative, no common sense,

1303
01:00:55,453 --> 01:00:58,533
Speaker 2: and completely entitled. Can barely work a four hour shift.

1304
01:00:58,693 --> 01:01:00,013
Speaker 2: The parents have a lot to answer for.

1305
01:01:00,533 --> 01:01:03,373
Speaker 3: Great text. Oh eight hundred eighty ten eighty is a

1306
01:01:03,413 --> 01:01:05,573
Speaker 3: number to call. Nine two nine two is the text number.

1307
01:01:05,853 --> 01:01:08,573
Speaker 3: Headlines coming up? It is twenty eight to three.

1308
01:01:09,533 --> 01:01:14,533
Speaker 1: Wow us talk sad be headlines with blue bubble taxis

1309
01:01:14,573 --> 01:01:16,413
Speaker 1: it's no trouble with a blue bubble.

1310
01:01:16,853 --> 01:01:21,933
Speaker 15: Emotional scenes, tears, booing and wayata. In Parliament today, as

1311
01:01:21,973 --> 01:01:25,213
Speaker 15: the Prime Minister and heads of government agencies delivered national

1312
01:01:25,213 --> 01:01:29,573
Speaker 15: apologies to survivors of abuse and care, some survivors also

1313
01:01:29,693 --> 01:01:33,293
Speaker 15: spoke at the event live streamed across the country, expressing

1314
01:01:33,333 --> 01:01:37,373
Speaker 15: deep sadness, fears for the future, and deep loss overpast

1315
01:01:37,453 --> 01:01:41,933
Speaker 15: and enduring trauma. Chris Luxon's announced thirty two million dollars

1316
01:01:41,973 --> 01:01:45,453
Speaker 15: for the current redress system. Ahead of improving the system,

1317
01:01:45,973 --> 01:01:48,693
Speaker 15: work will be done to remove names of perpetrators on

1318
01:01:48,813 --> 01:01:52,613
Speaker 15: streets and public amenities as well as public honors. Are

1319
01:01:52,653 --> 01:01:57,893
Speaker 15: Bill's passing today to improve safety and care. Scientists from

1320
01:01:57,933 --> 01:02:02,133
Speaker 15: Victoria University are drilling into Antarctic ice sheets, hoping to

1321
01:02:02,213 --> 01:02:06,253
Speaker 15: unlock information dating back millions of years, including when Earth

1322
01:02:06,373 --> 01:02:09,253
Speaker 15: was as warm as it is now. And punters are

1323
01:02:09,253 --> 01:02:12,013
Speaker 15: turning up at Addington in fine weather for Cup Day

1324
01:02:12,093 --> 01:02:15,933
Speaker 15: in christ Church. Trainer's dream comes true with start at

1325
01:02:15,973 --> 01:02:18,493
Speaker 15: New Zealand Trotting Cup. You can find out more at

1326
01:02:18,533 --> 01:02:20,813
Speaker 15: ins and here Ald Premium. Now back to Matt Heath

1327
01:02:20,853 --> 01:02:21,733
Speaker 15: and Tyler Adams.

1328
01:02:21,853 --> 01:02:24,653
Speaker 3: Thank you very much. Ray Lean. It is twenty four

1329
01:02:24,653 --> 01:02:28,293
Speaker 3: to three Dallas. Our employees demanding too much when they

1330
01:02:28,333 --> 01:02:29,053
Speaker 3: started off work.

1331
01:02:30,413 --> 01:02:34,693
Speaker 25: They are mate, some of them are. I'm an employee myself.

1332
01:02:36,493 --> 01:02:40,413
Speaker 25: I worked my way up through the ranks. You know,

1333
01:02:40,413 --> 01:02:42,933
Speaker 25: I did my hard yards when I was younger. You know,

1334
01:02:42,973 --> 01:02:45,573
Speaker 25: I did the paper out some of the some of

1335
01:02:45,613 --> 01:02:48,693
Speaker 25: the listeners previously, but we're all we're all correct in

1336
01:02:48,733 --> 01:02:50,653
Speaker 25: a way, like it's all about perspective and how you

1337
01:02:50,653 --> 01:02:55,293
Speaker 25: look at things. I think it's a sort of like

1338
01:02:55,333 --> 01:03:02,053
Speaker 25: a generational issue. I was mainly brought up by my grandparents.

1339
01:03:02,173 --> 01:03:05,493
Speaker 25: I was distilled of that of the old values You've

1340
01:03:05,493 --> 01:03:07,893
Speaker 25: got to work hard and you know, get your foot

1341
01:03:07,933 --> 01:03:10,973
Speaker 25: in the door. So I sort of do you think

1342
01:03:11,013 --> 01:03:14,213
Speaker 25: that the younger ones now that they're coming through like

1343
01:03:14,333 --> 01:03:16,853
Speaker 25: post COVID, they've sort of got a sense of entitlement.

1344
01:03:17,413 --> 01:03:20,453
Speaker 25: But it's also how they're brought up as well. So

1345
01:03:21,293 --> 01:03:24,573
Speaker 25: I guess that's sort of like a multitude of avenues.

1346
01:03:24,613 --> 01:03:29,293
Speaker 25: I guess for you know, wanting wanting more money. But

1347
01:03:30,493 --> 01:03:32,733
Speaker 25: I mean it just depends really like depending on what

1348
01:03:32,773 --> 01:03:35,253
Speaker 25: they're doing, who the person is, you know, what their

1349
01:03:35,293 --> 01:03:40,893
Speaker 25: background is sort of things. So I guess, you know, like, yeah,

1350
01:03:40,933 --> 01:03:43,173
Speaker 25: it's just one of one of those things really that

1351
01:03:43,333 --> 01:03:45,253
Speaker 25: sort of you look, you've got to look back at

1352
01:03:45,293 --> 01:03:48,053
Speaker 25: it and go, well, what what can these people offer me,

1353
01:03:48,293 --> 01:03:51,293
Speaker 25: Like say be being an employee, Well, what are these

1354
01:03:51,293 --> 01:03:53,613
Speaker 25: people going to kind of offer? You know, if they

1355
01:03:53,613 --> 01:03:57,333
Speaker 25: haven't done any work previously, and so either you hire

1356
01:03:57,373 --> 01:03:59,293
Speaker 25: these people when they're going to turn out to be duds,

1357
01:03:59,533 --> 01:04:01,613
Speaker 25: or you give them a chance and they end up

1358
01:04:01,613 --> 01:04:04,773
Speaker 25: being fined. But it's just if you're coming off the

1359
01:04:04,813 --> 01:04:07,693
Speaker 25: bat with no work experience, or you know, you've been

1360
01:04:07,693 --> 01:04:09,733
Speaker 25: to yunion, done this, and you've done that, and you've

1361
01:04:09,733 --> 01:04:12,453
Speaker 25: come out and you've got no work experience. Either you're

1362
01:04:12,453 --> 01:04:16,693
Speaker 25: not really you can't really demand more money for your buck. Really.

1363
01:04:16,933 --> 01:04:19,893
Speaker 2: Yeah, now, Dallas, would you say then that it's not

1364
01:04:20,013 --> 01:04:23,253
Speaker 2: so much a generational thing, a gen Z thing, it's

1365
01:04:23,333 --> 01:04:27,053
Speaker 2: more just a person thing. And there's always been people

1366
01:04:27,053 --> 01:04:30,813
Speaker 2: that are arrogant and demanding and expected more, and there's

1367
01:04:30,813 --> 01:04:35,213
Speaker 2: always been people that zero in and focus on on

1368
01:04:35,453 --> 01:04:37,533
Speaker 2: on working, getting getting ahead.

1369
01:04:38,453 --> 01:04:41,493
Speaker 25: Yeah, yeah, no, I suppose it is more of a

1370
01:04:41,853 --> 01:04:47,973
Speaker 25: more of a person thing. Yeah, yeah, I don't agree

1371
01:04:48,013 --> 01:04:48,213
Speaker 25: with that.

1372
01:04:48,533 --> 01:04:51,693
Speaker 2: Yeah, sorry, sorry, Tyler. Because the boomers, as I said before,

1373
01:04:51,693 --> 01:04:54,293
Speaker 2: with the hippies, the gen Z with the slackers, the

1374
01:04:54,333 --> 01:04:59,853
Speaker 2: millennial with the emotional hem afiliates, and now now the

1375
01:04:59,893 --> 01:05:03,533
Speaker 2: gen zs are seen as being demanding.

1376
01:05:04,373 --> 01:05:06,613
Speaker 3: Do you think tell us though, that that for a

1377
01:05:06,613 --> 01:05:08,573
Speaker 3: lot of people is something that you learn and as

1378
01:05:08,613 --> 01:05:10,653
Speaker 3: you go along and honesty call. When I first got

1379
01:05:10,653 --> 01:05:12,493
Speaker 3: into the workforce as a fifteen year old at the

1380
01:05:12,493 --> 01:05:15,613
Speaker 3: first supermarket and I was cleaning up the butchery after

1381
01:05:15,693 --> 01:05:17,733
Speaker 3: and I had an hour to get my job done

1382
01:05:17,773 --> 01:05:19,893
Speaker 3: and they paid me. I think it was about nine bucks.

1383
01:05:20,253 --> 01:05:21,893
Speaker 3: And I couldn't do it in an hour. So the

1384
01:05:21,933 --> 01:05:24,653
Speaker 3: boss pretty quickly said, look, if you don't cut it,

1385
01:05:25,013 --> 01:05:26,813
Speaker 3: you don't want to see me in here again, is

1386
01:05:26,533 --> 01:05:29,533
Speaker 3: what he said when he came through. And I actually said,

1387
01:05:29,573 --> 01:05:31,133
Speaker 3: I said, look, I can't do it in an hour.

1388
01:05:31,293 --> 01:05:34,533
Speaker 3: I can't see a ladder. I'm resigning. But I learned

1389
01:05:34,533 --> 01:05:36,933
Speaker 3: from that to say, actually, if I want to get ahead,

1390
01:05:37,133 --> 01:05:38,893
Speaker 3: I needed to do that in an hour. That was

1391
01:05:38,973 --> 01:05:42,173
Speaker 3: the job. And I learned that after a couple of jobs.

1392
01:05:42,613 --> 01:05:45,173
Speaker 25: Yeah, No, you definitely got to You definitely got to

1393
01:05:45,253 --> 01:05:51,413
Speaker 25: learn something from each thing that you do. Really, Yeah,

1394
01:05:51,533 --> 01:05:55,733
Speaker 25: you learn something as you go. Like having work experience

1395
01:05:55,813 --> 01:05:58,973
Speaker 25: before you get into the job market gives you a

1396
01:05:59,053 --> 01:06:02,213
Speaker 25: sense of like knowing what to sort of expect when

1397
01:06:02,253 --> 01:06:06,453
Speaker 25: you jump into the boat and sort of like you

1398
01:06:06,493 --> 01:06:10,013
Speaker 25: know how to navigate certain things. Whereas if you if

1399
01:06:10,013 --> 01:06:13,013
Speaker 25: you don't come in and you've got nothing. Then you're like, oh, no,

1400
01:06:13,093 --> 01:06:16,093
Speaker 25: you sort they are like in the War of Fog.

1401
01:06:16,173 --> 01:06:17,653
Speaker 25: I suppose they are far the war.

1402
01:06:17,973 --> 01:06:21,373
Speaker 2: Yeah, thanks so much for your call, Dallas. So yeah.

1403
01:06:21,453 --> 01:06:23,853
Speaker 2: Recruiters cross the Ditch have said that gen z are

1404
01:06:24,093 --> 01:06:26,333
Speaker 2: way too demanding and arrogant and having a bad taste

1405
01:06:26,373 --> 01:06:31,213
Speaker 2: an employee is mouths. But is it a generational thing

1406
01:06:31,693 --> 01:06:38,333
Speaker 2: or have people always been the same gen Z worse

1407
01:06:38,573 --> 01:06:40,813
Speaker 2: than the Boomers were when they were young, and the

1408
01:06:40,853 --> 01:06:44,093
Speaker 2: gen X were when they were young, and the gens.

1409
01:06:44,093 --> 01:06:46,853
Speaker 2: The generations are just names we're putting on on on

1410
01:06:46,933 --> 01:06:49,053
Speaker 2: groups of people when it's really individuals.

1411
01:06:49,333 --> 01:06:51,533
Speaker 3: I eight hundred eighty ten eighty. I know you hate

1412
01:06:51,533 --> 01:06:53,933
Speaker 3: millennials though, Matt I eight hundred eighty ten eighty is

1413
01:06:53,933 --> 01:06:54,493
Speaker 3: the number to call.

1414
01:06:54,653 --> 01:06:56,613
Speaker 2: No, I just think you're a bit useless.

1415
01:06:58,413 --> 01:07:00,173
Speaker 3: Is the text number. It's nineteen to.

1416
01:07:00,053 --> 01:07:05,413
Speaker 1: Three, Mattie Tyler Adams with you as your afternoon rolls on,

1417
01:07:05,533 --> 01:07:08,213
Speaker 1: matt Even Tyler Adams afternoon.

1418
01:07:07,973 --> 01:07:11,053
Speaker 2: Used to a good text here on nine two, nine

1419
01:07:11,053 --> 01:07:12,853
Speaker 2: to two. Tyler, you were talking before about when you

1420
01:07:12,853 --> 01:07:14,773
Speaker 2: were working in the butchery and you were too slow

1421
01:07:14,773 --> 01:07:16,333
Speaker 2: at cleaning up and you get told off, and this

1422
01:07:16,493 --> 01:07:18,653
Speaker 2: texta points out and look at you now, Tyler twelve

1423
01:07:18,733 --> 01:07:21,613
Speaker 2: to four on the afternoons with Matt and Tyler. You

1424
01:07:21,613 --> 01:07:24,453
Speaker 2: could easily do the show in two hours. That's true.

1425
01:07:24,773 --> 01:07:27,493
Speaker 2: We just need to work harder and talk quicker and

1426
01:07:27,533 --> 01:07:29,013
Speaker 2: get them through the show in two hours.

1427
01:07:29,013 --> 01:07:30,693
Speaker 3: The boss had come in before and seen you don't

1428
01:07:30,693 --> 01:07:34,333
Speaker 3: want to see me here again? Pick up the pace boys, Sarah,

1429
01:07:34,533 --> 01:07:35,373
Speaker 3: good afternoon to you.

1430
01:07:36,453 --> 01:07:38,693
Speaker 27: Ah, Hi, how are you good?

1431
01:07:38,173 --> 01:07:38,293
Speaker 18: Here?

1432
01:07:39,213 --> 01:07:40,253
Speaker 26: Here was my daughter Milly?

1433
01:07:42,413 --> 01:07:44,293
Speaker 27: That age group that you have been discovered?

1434
01:07:46,053 --> 01:07:46,733
Speaker 2: How old is Milly?

1435
01:07:47,813 --> 01:07:48,813
Speaker 28: I'm twenty one.

1436
01:07:48,893 --> 01:07:51,373
Speaker 2: And she and Mily? Are you demanding and expect too

1437
01:07:51,453 --> 01:07:53,773
Speaker 2: much in the workplace? And if so, whose fault is it?

1438
01:07:54,453 --> 01:07:57,213
Speaker 28: Absolutely not, I don't think so. And no one that

1439
01:07:57,293 --> 01:07:59,973
Speaker 28: I know and surround myself with is either.

1440
01:08:01,453 --> 01:08:03,653
Speaker 3: God, do you sound like a good employee already?

1441
01:08:04,493 --> 01:08:04,693
Speaker 25: Oh?

1442
01:08:04,773 --> 01:08:06,093
Speaker 27: I hoping he's looking for a job.

1443
01:08:07,493 --> 01:08:10,293
Speaker 2: And is that because is that because your mum Sarah

1444
01:08:10,373 --> 01:08:13,173
Speaker 2: is awesome and has brought you up right? Or do

1445
01:08:13,213 --> 01:08:15,493
Speaker 2: you think that was just that that's just you, that's

1446
01:08:15,613 --> 01:08:16,493
Speaker 2: that's incredible.

1447
01:08:17,333 --> 01:08:19,973
Speaker 28: Well, all of those siblings were all the same, So

1448
01:08:20,372 --> 01:08:22,852
Speaker 28: we all got our first job and we're like fifteen,

1449
01:08:22,973 --> 01:08:26,932
Speaker 28: sixteen and have worked full time every summer like since then,

1450
01:08:27,093 --> 01:08:29,652
Speaker 28: and now we're all working as well.

1451
01:08:29,692 --> 01:08:32,852
Speaker 27: There's different things, and I think too, I mean, I

1452
01:08:32,853 --> 01:08:34,772
Speaker 27: mean we've sort of been in and out of your

1453
01:08:35,293 --> 01:08:38,973
Speaker 27: conversation for the last hour show. And you know, we

1454
01:08:39,053 --> 01:08:42,053
Speaker 27: had a lady previously he's about an hour ago sort

1455
01:08:42,053 --> 01:08:43,772
Speaker 27: of saying, you know, it's a bit hard to time.

1456
01:08:43,812 --> 01:08:43,892
Speaker 15: Iss.

1457
01:08:44,013 --> 01:08:46,733
Speaker 27: Everybody was the same brush. So we have the advantage,

1458
01:08:46,893 --> 01:08:49,612
Speaker 27: you know, I'm up here from not otago, you know,

1459
01:08:49,652 --> 01:08:52,013
Speaker 27: and come up for Messy's exposure, you know. I mean,

1460
01:08:52,013 --> 01:08:54,133
Speaker 27: there's some awesome kids around doing their things, but I

1461
01:08:54,173 --> 01:08:57,772
Speaker 27: suppose at the advantage we come from a rural area

1462
01:08:57,973 --> 01:08:59,612
Speaker 27: and all the kids, like I mean, our kids have

1463
01:08:59,692 --> 01:09:02,333
Speaker 27: been earning money on the farm since you know, when

1464
01:09:02,372 --> 01:09:04,732
Speaker 27: they were eight or nine years old, you know, and

1465
01:09:04,772 --> 01:09:07,372
Speaker 27: they you know, they got paid and they learned, you know,

1466
01:09:07,572 --> 01:09:10,133
Speaker 27: some of money away for savings and some money they

1467
01:09:10,133 --> 01:09:12,372
Speaker 27: can choose to spend how they want to. And then

1468
01:09:12,412 --> 01:09:14,812
Speaker 27: they also learned that sometimes you don't want to go

1469
01:09:14,853 --> 01:09:16,972
Speaker 27: to work, but well to their you know, we need

1470
01:09:17,013 --> 01:09:20,412
Speaker 27: help and you're expected to help you busy times or

1471
01:09:20,452 --> 01:09:22,652
Speaker 27: you know, if you need assistant sort of thing. And

1472
01:09:22,692 --> 01:09:24,812
Speaker 27: then doesn't matter. You've just got a help out if

1473
01:09:24,812 --> 01:09:26,013
Speaker 27: you need to, you know what I mean.

1474
01:09:26,253 --> 01:09:28,412
Speaker 2: So, Mily, was the person that was giving you a

1475
01:09:28,532 --> 01:09:31,532
Speaker 2: chance to work when you're a teenager? Was that person

1476
01:09:31,973 --> 01:09:34,653
Speaker 2: your parents or were you getting jobs outside.

1477
01:09:34,293 --> 01:09:34,652
Speaker 7: Of the phone?

1478
01:09:35,412 --> 01:09:35,492
Speaker 15: No?

1479
01:09:35,652 --> 01:09:39,253
Speaker 27: Initially, but then we're we had to go out and

1480
01:09:39,253 --> 01:09:40,492
Speaker 27: get made.

1481
01:09:42,812 --> 01:09:42,972
Speaker 1: Well.

1482
01:09:43,013 --> 01:09:44,772
Speaker 27: But then we'll say a little bit rural of course,

1483
01:09:45,013 --> 01:09:46,973
Speaker 27: you know our restrictions was driving to the men. They

1484
01:09:47,013 --> 01:09:49,372
Speaker 27: live out of town, so you know, yeah, but you know,

1485
01:09:49,452 --> 01:09:51,652
Speaker 27: so when they had to work around being able to

1486
01:09:51,692 --> 01:09:53,492
Speaker 27: drop more jobs and pick them up and all that

1487
01:09:53,492 --> 01:09:55,092
Speaker 27: sort of stuff. So which is No, they're a commitment

1488
01:09:55,452 --> 01:09:57,732
Speaker 27: to parents. You know in the country. You know, can't

1489
01:09:57,772 --> 01:09:59,173
Speaker 27: just get on a bus in town sort of thing.

1490
01:09:59,253 --> 01:10:00,492
Speaker 27: So you have to take them to work and pick

1491
01:10:00,532 --> 01:10:03,372
Speaker 27: them up. And you know, we've got four kids, you know, No,

1492
01:10:03,492 --> 01:10:06,652
Speaker 27: Definitely un needs to go and work for somebody else

1493
01:10:06,893 --> 01:10:10,293
Speaker 27: as well. And and I think not just not only

1494
01:10:10,333 --> 01:10:12,932
Speaker 27: the farm thing is amazing and rural community, you know,

1495
01:10:13,253 --> 01:10:15,692
Speaker 27: but even just I think the biggest thing is you

1496
01:10:15,732 --> 01:10:18,253
Speaker 27: know you have to teach your kids is you know,

1497
01:10:18,333 --> 01:10:20,612
Speaker 27: you meet someone, you get up off your seat, you

1498
01:10:20,652 --> 01:10:23,852
Speaker 27: shake their hands properly, not like a limp muppet. You know,

1499
01:10:23,933 --> 01:10:26,372
Speaker 27: you look in the eye and you say, well, hello,

1500
01:10:26,853 --> 01:10:28,933
Speaker 27: my name is whatever, whatever, and unplease me.

1501
01:10:29,053 --> 01:10:33,692
Speaker 2: You, Sarah, you are a woman of my own heart.

1502
01:10:33,812 --> 01:10:33,932
Speaker 25: You.

1503
01:10:34,293 --> 01:10:36,093
Speaker 2: One of the most important things you've got to keep

1504
01:10:36,333 --> 01:10:40,253
Speaker 2: teach kids is to how to shake hands and to

1505
01:10:40,293 --> 01:10:42,053
Speaker 2: look someone in the eye and have a conversation with that.

1506
01:10:42,612 --> 01:10:44,932
Speaker 2: And you never shake hands with someone when you're sitting down.

1507
01:10:45,412 --> 01:10:48,692
Speaker 2: That that is the height of rudeness. If someone comes

1508
01:10:48,692 --> 01:10:50,652
Speaker 2: into a room and you stand up and you shake

1509
01:10:50,652 --> 01:10:52,412
Speaker 2: their hand and you greet them, you don't greet them

1510
01:10:52,412 --> 01:10:54,412
Speaker 2: from a seat. That's that's terrible behavior.

1511
01:10:55,452 --> 01:10:57,012
Speaker 27: And we had one of our friends come for tea

1512
01:10:57,093 --> 01:10:59,412
Speaker 27: last week and he started eating before we're dished out.

1513
01:11:01,333 --> 01:11:02,333
Speaker 3: Check him out of the house.

1514
01:11:02,532 --> 01:11:05,253
Speaker 6: And you can't do that at our house.

1515
01:11:08,732 --> 01:11:10,932
Speaker 2: When I was a kid, we went allowed to eat

1516
01:11:11,173 --> 01:11:13,652
Speaker 2: into There was four kids in my family, and we

1517
01:11:13,652 --> 01:11:16,372
Speaker 2: weren't allowed to eat until our mum had taken the

1518
01:11:16,412 --> 01:11:18,452
Speaker 2: first mouthful of foods. We had to sit there. It

1519
01:11:18,452 --> 01:11:20,852
Speaker 2: was a rule because you know, mom sat down and

1520
01:11:20,853 --> 01:11:23,652
Speaker 2: she could take Mom took blessed her. She took her

1521
01:11:23,652 --> 01:11:25,972
Speaker 2: sweet time to get to the table. Was that hungry kid?

1522
01:11:26,173 --> 01:11:30,412
Speaker 2: But I'm Sarah, are your kids going to stick around

1523
01:11:30,492 --> 01:11:32,732
Speaker 2: rurally or are they moving to the city or what's

1524
01:11:32,772 --> 01:11:33,333
Speaker 2: happening there?

1525
01:11:34,053 --> 01:11:38,972
Speaker 27: Oh, we'll go one during Rural Canada, one's Flying Flyer

1526
01:11:39,133 --> 01:11:43,213
Speaker 27: and West Australia Monies and Wellington looking for a job.

1527
01:11:43,293 --> 01:11:46,492
Speaker 27: At the moment, it was the architectural assistant and we've

1528
01:11:46,492 --> 01:11:48,613
Speaker 27: got one who's a sparky apprentice.

1529
01:11:48,732 --> 01:11:52,732
Speaker 3: What sort of job you're looking for, Mille, Well, I've.

1530
01:11:52,612 --> 01:11:55,972
Speaker 28: Just graduated from facial design at MASSY and I'm looking

1531
01:11:56,013 --> 01:12:01,333
Speaker 28: to get into interior design, interior architecture, law, urban or landscape.

1532
01:12:01,652 --> 01:12:04,572
Speaker 2: And so in your in your job interviews, are you

1533
01:12:04,973 --> 01:12:09,693
Speaker 2: looking to make large demands from the employees and huge expectations.

1534
01:12:10,612 --> 01:12:12,372
Speaker 28: No, I'm kind of just hoping to get a job

1535
01:12:12,572 --> 01:12:18,013
Speaker 28: like period. I'm like, I don't mind what it is,

1536
01:12:18,133 --> 01:12:18,932
Speaker 28: what are we doing.

1537
01:12:19,013 --> 01:12:20,173
Speaker 3: I didn't want to.

1538
01:12:20,133 --> 01:12:23,492
Speaker 28: Get into the industry and do what I can and

1539
01:12:23,492 --> 01:12:26,852
Speaker 28: then hopefully like just you know, move up.

1540
01:12:26,812 --> 01:12:28,293
Speaker 8: From the bottom.

1541
01:12:28,612 --> 01:12:30,652
Speaker 2: Well, thank you so much for your call. I mean

1542
01:12:30,652 --> 01:12:32,692
Speaker 2: that's the best poor call we possibly get. We're talking

1543
01:12:32,692 --> 01:12:36,333
Speaker 2: about generations and we had two generations ringing through together.

1544
01:12:36,412 --> 01:12:37,892
Speaker 2: So thank you so much for your call.

1545
01:12:38,253 --> 01:12:40,452
Speaker 3: Sarah and Milly, I don't think Mellie will struggle to

1546
01:12:40,452 --> 01:12:43,133
Speaker 3: find a job. By the sounds of it, Bailey, how are.

1547
01:12:43,053 --> 01:12:45,052
Speaker 29: You good afternoon?

1548
01:12:45,133 --> 01:12:45,293
Speaker 26: Guys?

1549
01:12:45,333 --> 01:12:48,213
Speaker 3: There you go very good And what's your taking? You

1550
01:12:48,293 --> 01:12:49,933
Speaker 3: are gen Z's employee?

1551
01:12:51,093 --> 01:12:52,892
Speaker 29: Oh yeah, born in two thousand.

1552
01:12:53,612 --> 01:12:55,933
Speaker 24: I've been working just about ten years old on my

1553
01:12:55,973 --> 01:12:59,532
Speaker 24: granddad's orchard back home and Hawks Bay and currently at

1554
01:12:59,572 --> 01:13:05,253
Speaker 24: work with my hard hair and my radio what they call.

1555
01:13:06,812 --> 01:13:07,652
Speaker 3: Love those guys.

1556
01:13:08,412 --> 01:13:11,732
Speaker 29: It's a bit oh, you know, it's a bit peeved off.

1557
01:13:12,133 --> 01:13:15,932
Speaker 29: I've been working constantly since a young age. I at

1558
01:13:15,933 --> 01:13:18,852
Speaker 29: the university, if left and now I'm moved down to

1559
01:13:18,893 --> 01:13:23,492
Speaker 29: Wellington and I'm working full time. And when I was

1560
01:13:23,532 --> 01:13:26,453
Speaker 29: fourteen and sixteen I went to Turkey in Italy respectively

1561
01:13:26,532 --> 01:13:31,253
Speaker 29: for a World Orienteering school secondary schools and both trips

1562
01:13:31,293 --> 01:13:34,053
Speaker 29: cost eight grand and I earned all eight grand time

1563
01:13:34,253 --> 01:13:35,173
Speaker 29: by myself working.

1564
01:13:36,732 --> 01:13:40,253
Speaker 2: Yeah, So Bailey yaw in the same camp as me

1565
01:13:40,372 --> 01:13:42,612
Speaker 2: that it's not although I've been saying some terrible things

1566
01:13:42,652 --> 01:13:45,933
Speaker 2: about millennials to tie up in the same camp as me.

1567
01:13:46,013 --> 01:13:48,253
Speaker 2: That it's not so much a generational thing as it's

1568
01:13:48,293 --> 01:13:51,412
Speaker 2: an individual thing. And it's ridiculous to say that all

1569
01:13:51,492 --> 01:13:53,692
Speaker 2: gen Z or are this and all gen x is

1570
01:13:53,732 --> 01:13:53,933
Speaker 2: are that.

1571
01:13:55,093 --> 01:13:57,253
Speaker 29: Yes, And I was in your same camp when you're

1572
01:13:57,253 --> 01:13:57,812
Speaker 29: over in Harry.

1573
01:14:02,253 --> 01:14:02,452
Speaker 4: Yeah.

1574
01:14:02,492 --> 01:14:06,772
Speaker 29: My mum and my granddad especially they told me, you know,

1575
01:14:07,412 --> 01:14:10,372
Speaker 29: obviously good at work for anything you do, even though

1576
01:14:11,492 --> 01:14:13,532
Speaker 29: so I like my job right now. Yeah, it's all right.

1577
01:14:13,853 --> 01:14:18,333
Speaker 29: It's better some days, but it's it's physical and outside

1578
01:14:18,372 --> 01:14:20,293
Speaker 29: all days. Pretty happy with that.

1579
01:14:20,532 --> 01:14:20,732
Speaker 18: Yeah.

1580
01:14:20,933 --> 01:14:23,892
Speaker 2: Oh, thanks so much for your call, Bailey. Great hear

1581
01:14:23,933 --> 01:14:27,853
Speaker 2: from you. Sound like a great young young man and

1582
01:14:27,853 --> 01:14:29,253
Speaker 2: and all the best for the future.

1583
01:14:29,412 --> 01:14:31,612
Speaker 3: I'm liking you know. We've had a lot of gen

1584
01:14:31,732 --> 01:14:35,852
Speaker 3: z's call up. They sound like smart, competent go getters. Yeah,

1585
01:14:35,893 --> 01:14:37,812
Speaker 3: I think you've taken the wrong end of the stick here.

1586
01:14:37,933 --> 01:14:40,293
Speaker 3: I mean, I know you've been having to go millennials.

1587
01:14:39,812 --> 01:14:41,692
Speaker 2: But no, no, but but I guess. And this is

1588
01:14:41,732 --> 01:14:43,852
Speaker 2: the other thing. So, if if older generations are going

1589
01:14:43,893 --> 01:14:46,372
Speaker 2: to slam a younger generation and say that all gen

1590
01:14:46,452 --> 01:14:48,772
Speaker 2: zs are this, then you've got to ask why, as

1591
01:14:48,772 --> 01:14:50,772
Speaker 2: we were saying before, why are all gen Z is this?

1592
01:14:51,173 --> 01:14:54,532
Speaker 2: Because the older generations make the younger generations. So if

1593
01:14:54,532 --> 01:14:56,652
Speaker 2: you're going to be angry at the younger generations, then

1594
01:14:56,652 --> 01:14:59,173
Speaker 2: you've got to be angry at your generation for not

1595
01:14:59,213 --> 01:15:02,533
Speaker 2: instilling the values that you believe in in the younger generations.

1596
01:15:02,973 --> 01:15:04,812
Speaker 3: Nine to three will get to some more of your

1597
01:15:04,812 --> 01:15:08,493
Speaker 3: calls very shortly. Excuse me. You're listening to Matt and Tyler.

1598
01:15:09,732 --> 01:15:12,133
Speaker 1: The issues that affect you and a bit of fun

1599
01:15:12,173 --> 01:15:15,612
Speaker 1: along the way. Matt Heath and Tyner Adams afternoons. You

1600
01:15:15,772 --> 01:15:17,892
Speaker 1: for twenty twenty four new talks, it'd.

1601
01:15:17,772 --> 01:15:21,133
Speaker 3: Be news talks, it'd be it is six to three.

1602
01:15:21,692 --> 01:15:25,813
Speaker 2: And Anna, your thoughts on this gen z are they

1603
01:15:26,133 --> 01:15:30,572
Speaker 2: are they entitled in demanding or is this just generational bashing.

1604
01:15:32,612 --> 01:15:36,572
Speaker 6: I just think that essentially the human nature doesn't change

1605
01:15:36,732 --> 01:15:39,772
Speaker 6: and generational things, you know, it's the same as it

1606
01:15:39,812 --> 01:15:43,892
Speaker 6: one hundred years ago or twenty fifty years ago. I

1607
01:15:43,893 --> 01:15:49,573
Speaker 6: think what's different is the prevalence of social media TikTok, Instagram, Facebook.

1608
01:15:50,412 --> 01:15:55,133
Speaker 6: Young people see other young people going on holidays into

1609
01:15:55,133 --> 01:15:59,813
Speaker 6: exotic locations bought us by the pool, having latest designer things,

1610
01:16:00,372 --> 01:16:03,293
Speaker 6: latest makeup, and they just think they might think that

1611
01:16:03,372 --> 01:16:05,973
Speaker 6: they should be able to go to work and be

1612
01:16:06,053 --> 01:16:07,532
Speaker 6: able to buy the same things.

1613
01:16:07,612 --> 01:16:10,652
Speaker 21: And you ask for yeah, I.

1614
01:16:10,612 --> 01:16:13,572
Speaker 2: Mean, as the saying goes, comparison is the thief of joy.

1615
01:16:14,213 --> 01:16:17,013
Speaker 2: So it's it can be hard, I guess, to be

1616
01:16:17,093 --> 01:16:19,532
Speaker 2: working around and working really really hard and not getting

1617
01:16:19,612 --> 01:16:22,452
Speaker 2: much when people are appearing in front of you on

1618
01:16:22,492 --> 01:16:26,213
Speaker 2: your feed, constantly living the dream life. And it's hard

1619
01:16:26,253 --> 01:16:28,053
Speaker 2: to know when you're young that that dream life is

1620
01:16:28,253 --> 01:16:29,612
Speaker 2: ninety nine percent fake.

1621
01:16:29,812 --> 01:16:35,213
Speaker 6: Yep, yes, so kind episode, the great most of it

1622
01:16:35,253 --> 01:16:38,492
Speaker 6: is fake. Can you hear about you know, people buying things,

1623
01:16:38,532 --> 01:16:43,293
Speaker 6: taking photos, returning their items back to the shots. But

1624
01:16:43,732 --> 01:16:46,333
Speaker 6: younger people got ready to realize it necessarily.

1625
01:16:46,572 --> 01:16:46,772
Speaker 8: Yeah.

1626
01:16:46,812 --> 01:16:49,412
Speaker 2: One of the most shocking examples that was the private

1627
01:16:49,492 --> 01:16:52,093
Speaker 2: jet that was being hired out. Wasn't a real private jet,

1628
01:16:52,093 --> 01:16:53,812
Speaker 2: but it was being hired out so people could take

1629
01:16:53,853 --> 01:16:56,492
Speaker 2: Instagram shots of themselves sitting in a private jet and

1630
01:16:56,532 --> 01:16:59,092
Speaker 2: pretending to be a condition. And when they just rented

1631
01:16:59,133 --> 01:17:02,612
Speaker 2: the private jet at twenty twenty dollars for a couple

1632
01:17:02,612 --> 01:17:03,052
Speaker 2: of shots.

1633
01:17:03,133 --> 01:17:06,052
Speaker 3: Yeah, and thank you very much now before we wrap

1634
01:17:06,133 --> 01:17:06,652
Speaker 3: up the hour.

1635
01:17:06,772 --> 01:17:08,772
Speaker 2: Yeah, I thought this is an interesting thing because you know,

1636
01:17:08,812 --> 01:17:10,892
Speaker 2: you can talk about the generations, but you can also

1637
01:17:10,933 --> 01:17:13,253
Speaker 2: talk about it as an individual and what an individual

1638
01:17:13,293 --> 01:17:16,293
Speaker 2: needs to do to get ahead. And you know, you

1639
01:17:16,333 --> 01:17:18,373
Speaker 2: can go me into work and you can be demanding.

1640
01:17:18,452 --> 01:17:20,972
Speaker 2: But for my book, A Life is Punishing, the number

1641
01:17:20,973 --> 01:17:23,093
Speaker 2: one selling book you can it was a number one

1642
01:17:23,093 --> 01:17:25,492
Speaker 2: best seller. Actually A lofe was Punishing by Mattethia Yego.

1643
01:17:25,893 --> 01:17:27,173
Speaker 2: Just a bit of a plug there. But I talked

1644
01:17:27,213 --> 01:17:29,652
Speaker 2: to this professor Scott Galloway for it. He's a very

1645
01:17:29,652 --> 01:17:31,973
Speaker 2: successful businessman and this is what he said about young

1646
01:17:32,053 --> 01:17:35,652
Speaker 2: people coming through. He said, capitalist societies are forgiving places

1647
01:17:35,692 --> 01:17:39,892
Speaker 2: for people with money and harsh, rapacious places for people without.

1648
01:17:40,293 --> 01:17:43,452
Speaker 2: Few people develop economic security without working their asses off

1649
01:17:43,452 --> 01:17:45,572
Speaker 2: for ten or twenty years. It cost me my hair,

1650
01:17:45,652 --> 01:17:47,452
Speaker 2: my first marriage, and it was worth it because now

1651
01:17:47,452 --> 01:17:50,212
Speaker 2: I can spend the afternoons watching my son play rugby.

1652
01:17:50,652 --> 01:17:52,612
Speaker 2: That was my way. It's not everyone's way, but if

1653
01:17:52,652 --> 01:17:54,973
Speaker 2: you're going to make it in life to live the

1654
01:17:55,093 --> 01:17:57,293
Speaker 2: dreams you want, you are going to have to work

1655
01:17:57,333 --> 01:18:00,973
Speaker 2: your butt off while you're young. So unfortunately, that is

1656
01:18:01,133 --> 01:18:03,452
Speaker 2: the way it is for most people. Well fortunately because

1657
01:18:03,612 --> 01:18:04,932
Speaker 2: it leads to happiness struggle.

1658
01:18:05,173 --> 01:18:07,572
Speaker 3: Nice way to end, Thank you very much. Really enjoyed

1659
01:18:07,572 --> 01:18:10,133
Speaker 3: those two hours. After three o'clock, we're gonna be talking

1660
01:18:10,173 --> 01:18:11,173
Speaker 3: about the love of our.

1661
01:18:11,053 --> 01:18:17,452
Speaker 1: Dogs, talking with you all afternoon. It's Matt Heathen, Tyler

1662
01:18:17,532 --> 01:18:21,732
Speaker 1: Adams afternoons you for twenty twenty four, US dog said, be.

1663
01:18:22,732 --> 01:18:26,452
Speaker 3: Good afternoons you seven past three Tuesday, feeling good.

1664
01:18:26,492 --> 01:18:30,133
Speaker 2: Hope you are too, Yeah, and we are gonna put

1665
01:18:30,173 --> 01:18:34,213
Speaker 2: the generational walls behind us and lean into doggy love.

1666
01:18:34,893 --> 01:18:38,093
Speaker 2: How much you love your dogs? And animal psychologist Mark

1667
01:18:38,133 --> 01:18:41,653
Speaker 2: Viddie says this, We now know from research that oxytone

1668
01:18:41,692 --> 01:18:43,812
Speaker 2: and the love hormone is about the same level as

1669
01:18:43,812 --> 01:18:46,333
Speaker 2: we have towards our children, our family members, as it

1670
01:18:46,412 --> 01:18:49,013
Speaker 2: is to our dogs. We have the same level with them,

1671
01:18:49,053 --> 01:18:51,412
Speaker 2: and therefore the relationship that we have is akin to

1672
01:18:51,452 --> 01:18:55,293
Speaker 2: our human relationships. They are surrogate kids really in many ways.

1673
01:18:55,372 --> 01:18:59,093
Speaker 2: So what it's really saying is that we love our

1674
01:18:59,133 --> 01:19:01,652
Speaker 2: dogs and it's possible to love our dogs as much

1675
01:19:01,732 --> 01:19:04,452
Speaker 2: as we love our kids. Is that crazy? And that

1676
01:19:05,053 --> 01:19:07,173
Speaker 2: is that bad? And can you love a dog too much?

1677
01:19:07,213 --> 01:19:08,852
Speaker 2: Do you love your dog too much? Do you know

1678
01:19:08,893 --> 01:19:11,932
Speaker 2: people that love their dogs too much? And I'm meaning

1679
01:19:11,973 --> 01:19:15,492
Speaker 2: that in a I won't even I won't even say that,

1680
01:19:15,612 --> 01:19:21,012
Speaker 2: but do we Is it wrong to love your dog

1681
01:19:21,053 --> 01:19:22,732
Speaker 2: that much? To treat your dogs?

1682
01:19:22,812 --> 01:19:22,932
Speaker 17: So?

1683
01:19:23,013 --> 01:19:26,412
Speaker 2: I know, with my dog Colin, if he's on the

1684
01:19:26,412 --> 01:19:28,532
Speaker 2: other side of town and he's going to be alone

1685
01:19:28,973 --> 01:19:31,372
Speaker 2: for a couple of hours. I will drive to the

1686
01:19:31,412 --> 01:19:33,732
Speaker 2: other side of town to pick them up to look

1687
01:19:33,772 --> 01:19:35,652
Speaker 2: after him because I don't want it to be alone.

1688
01:19:36,013 --> 01:19:38,452
Speaker 2: Is that crazy? It's what I'd do for my kids

1689
01:19:38,452 --> 01:19:40,692
Speaker 2: as well. Is it crazy?

1690
01:19:40,812 --> 01:19:41,093
Speaker 25: Is it?

1691
01:19:41,213 --> 01:19:43,772
Speaker 2: Is it wrong? Is it damaging to love your dog

1692
01:19:43,853 --> 01:19:46,372
Speaker 2: that much? And you know, how much do you love

1693
01:19:46,412 --> 01:19:48,213
Speaker 2: your dog? And when does it become a problem when

1694
01:19:48,213 --> 01:19:51,253
Speaker 2: you I mean, I've got some friends that have spent

1695
01:19:51,893 --> 01:19:55,492
Speaker 2: thirty five thousand dollars on their dog recently on at

1696
01:19:55,532 --> 01:19:58,852
Speaker 2: the vets Ye with a problem with with the poor

1697
01:19:58,893 --> 01:20:02,732
Speaker 2: little guy's stomach. Is that Is that too much? Because

1698
01:20:02,732 --> 01:20:05,452
Speaker 2: if you've got kids and you're spending thirty five thousand

1699
01:20:05,492 --> 01:20:07,933
Speaker 2: dollars on your dog, then that's going to have a

1700
01:20:07,973 --> 01:20:11,452
Speaker 2: material impact, depending on how wealthy you are, on the

1701
01:20:11,492 --> 01:20:12,452
Speaker 2: future of your kids.

1702
01:20:12,652 --> 01:20:14,732
Speaker 3: It's a good point. I mean, we don't have kids yet,

1703
01:20:14,732 --> 01:20:16,612
Speaker 3: but I would sell the house if I needed to,

1704
01:20:16,812 --> 01:20:19,093
Speaker 3: if people needed the money to be fixed up, I

1705
01:20:19,133 --> 01:20:21,452
Speaker 3: would sell the freaking house. I don't know how Maide

1706
01:20:21,452 --> 01:20:24,253
Speaker 3: feels about that, but she gets elevated and I think

1707
01:20:24,253 --> 01:20:26,692
Speaker 3: it is it's a new thing. Isn't it that a

1708
01:20:26,692 --> 01:20:29,173
Speaker 3: lot of people are putting their dogs up the pecking order,

1709
01:20:29,572 --> 01:20:30,892
Speaker 3: maybe at the expense of their.

1710
01:20:30,812 --> 01:20:32,932
Speaker 2: Wife or kids. Well, straight straight out of the bat

1711
01:20:33,053 --> 01:20:35,412
Speaker 2: nine two nine two texts come through. I literally love

1712
01:20:35,452 --> 01:20:37,173
Speaker 2: my dog more than my wife and I tell her

1713
01:20:37,213 --> 01:20:39,852
Speaker 2: that all the time. See that's not healthy. No, I

1714
01:20:39,893 --> 01:20:42,812
Speaker 2: would say that's not healthy. I think it starts to

1715
01:20:42,853 --> 01:20:45,932
Speaker 2: get dangerous. And what does it say about us? Because

1716
01:20:45,973 --> 01:20:48,692
Speaker 2: dogs give you unconditional love back. And they've done the

1717
01:20:48,692 --> 01:20:52,093
Speaker 2: same sort of studies on dogs' brains, and the part

1718
01:20:52,093 --> 01:20:55,972
Speaker 2: of their brain that we love fires off, just goes crazy.

1719
01:20:55,973 --> 01:20:57,812
Speaker 2: You know when your dog's staring at you and it's

1720
01:20:57,853 --> 01:20:59,732
Speaker 2: like that the love part of its brain is just

1721
01:20:59,812 --> 01:21:04,293
Speaker 2: firing and firing. And is that why we love them

1722
01:21:04,333 --> 01:21:08,772
Speaker 2: so much? Because they unconditionally give us love back. There's

1723
01:21:08,772 --> 01:21:12,532
Speaker 2: someone that said to me once, a dog is always

1724
01:21:12,572 --> 01:21:14,293
Speaker 2: ready to party with you. You come home and the

1725
01:21:14,333 --> 01:21:15,812
Speaker 2: dog doesn't even know what you're talking about. But if

1726
01:21:15,853 --> 01:21:18,532
Speaker 2: you go Colin, you're a good boy, colin talking to

1727
01:21:18,572 --> 01:21:20,572
Speaker 2: see it, He'll start running around, he'll go crazy, he's

1728
01:21:20,612 --> 01:21:23,852
Speaker 2: just so pleased to see you. Is that unhealthy love?

1729
01:21:24,372 --> 01:21:24,612
Speaker 20: Yeah?

1730
01:21:24,692 --> 01:21:26,532
Speaker 3: Well not for me, as a human. I love that.

1731
01:21:26,893 --> 01:21:28,973
Speaker 3: I mean, when you get home, Colin would run to

1732
01:21:29,013 --> 01:21:32,012
Speaker 3: the dog and jump right and just that little tail wagging.

1733
01:21:32,093 --> 01:21:33,852
Speaker 3: I mean that's you can have the worst day on

1734
01:21:33,893 --> 01:21:35,452
Speaker 3: the world and you get home. For that, I've got

1735
01:21:35,492 --> 01:21:37,013
Speaker 3: to say, you know, maybe needs to do that a

1736
01:21:37,013 --> 01:21:39,692
Speaker 3: bit more. Run at me when I come through the door, Taylah,

1737
01:21:39,853 --> 01:21:41,412
Speaker 3: how are you? I mean sometimes he.

1738
01:21:41,372 --> 01:21:43,692
Speaker 2: Does, but I don't know, I don't know. I think

1739
01:21:44,133 --> 01:21:46,333
Speaker 2: we want a different kind of love from humans because

1740
01:21:46,812 --> 01:21:49,772
Speaker 2: that kind of staring at you constantly and following you

1741
01:21:49,812 --> 01:21:52,213
Speaker 2: around the house kind of love from your partner, but

1742
01:21:52,772 --> 01:21:55,932
Speaker 2: would be weird. It would be it would be creepy,

1743
01:21:55,973 --> 01:21:57,692
Speaker 2: it'll be wrong, and you'd lose a lot of respect

1744
01:21:57,692 --> 01:21:57,972
Speaker 2: for them.

1745
01:21:58,492 --> 01:21:59,812
Speaker 3: How much do you spend on Colin?

1746
01:22:00,853 --> 01:22:07,932
Speaker 2: I mean, I've got absolutely no idea a lot. Although

1747
01:22:07,933 --> 01:22:11,812
Speaker 2: he's only on dry food because the vet said that

1748
01:22:11,853 --> 01:22:14,253
Speaker 2: he needed it for whatever reason you say with the vet.

1749
01:22:14,293 --> 01:22:16,412
Speaker 2: He's on this punishing dry food, which I feel bad about.

1750
01:22:17,253 --> 01:22:19,732
Speaker 2: But so I know a lot of people that spend

1751
01:22:19,812 --> 01:22:22,732
Speaker 2: a whole lot just on their food. But we've got

1752
01:22:22,732 --> 01:22:25,532
Speaker 2: an injection that we have to give give Colin because

1753
01:22:25,853 --> 01:22:29,213
Speaker 2: he's a mini Snail's a Jack Russell Cross and I

1754
01:22:29,213 --> 01:22:30,692
Speaker 2: think this happens to them a little bit. They're called

1755
01:22:30,692 --> 01:22:34,772
Speaker 2: a snack, but they have it's sort of phantom scratching.

1756
01:22:34,812 --> 01:22:36,893
Speaker 2: They always think that they're a little bit itchy, so

1757
01:22:36,933 --> 01:22:40,253
Speaker 2: they're scratching. So whether this is true or not. And look,

1758
01:22:40,293 --> 01:22:42,333
Speaker 2: I'm a little bit suspicious of vets from time to time,

1759
01:22:42,372 --> 01:22:45,652
Speaker 2: but this is a this is an injection that we

1760
01:22:45,692 --> 01:22:48,492
Speaker 2: have to give him, which is in the three hundreds

1761
01:22:48,933 --> 01:22:51,492
Speaker 2: once a month. So if you're looking at that's that's

1762
01:22:51,652 --> 01:22:54,173
Speaker 2: you know, it's close to ninety dollars a week just

1763
01:22:54,213 --> 01:22:56,372
Speaker 2: on his injection. So that's a lot.

1764
01:22:56,532 --> 01:22:57,093
Speaker 3: That is a lot.

1765
01:22:57,213 --> 01:22:59,852
Speaker 2: That's a lot. But I mean my kids cost me

1766
01:22:59,853 --> 01:23:00,612
Speaker 2: a lot more than that.

1767
01:23:00,853 --> 01:23:03,812
Speaker 3: Yeah, I can't come home from the grocery store without

1768
01:23:03,853 --> 01:23:06,133
Speaker 3: getting a treat for Pepper. If I get a treat

1769
01:23:06,173 --> 01:23:07,732
Speaker 3: for me and Mave, then I think, right, I'm going

1770
01:23:07,772 --> 01:23:09,452
Speaker 3: to get a treat for Pepper as well. And Bunning's

1771
01:23:09,492 --> 01:23:11,333
Speaker 3: the other day to get a law mower and saw

1772
01:23:11,333 --> 01:23:13,093
Speaker 3: a calling mat for a pitt. She doesn't really need

1773
01:23:13,133 --> 01:23:15,293
Speaker 3: the calling mat, but I spent fifty bucks on that. Anyway,

1774
01:23:15,293 --> 01:23:17,213
Speaker 3: get home and Mave, just like, what are you doing?

1775
01:23:17,293 --> 01:23:19,093
Speaker 3: She's not going to use that, and she's not using that.

1776
01:23:19,372 --> 01:23:22,412
Speaker 2: I've spent a stupid amount of money on dog that

1777
01:23:22,692 --> 01:23:24,652
Speaker 2: things for Colin to sleep on, and he won't. There's

1778
01:23:24,812 --> 01:23:28,372
Speaker 2: only this one stinky bean bag. It's disgusting. That's the

1779
01:23:28,372 --> 01:23:30,892
Speaker 2: only thing that he wants to sleep on. But you know,

1780
01:23:30,973 --> 01:23:33,412
Speaker 2: and that's very different. I mean people with working dogs

1781
01:23:33,612 --> 01:23:36,333
Speaker 2: and people you know on farms have a different relationship

1782
01:23:36,333 --> 01:23:38,572
Speaker 2: with their dogs, well some of their dogs. Yeah, And

1783
01:23:39,213 --> 01:23:43,053
Speaker 2: you know, and and I can, I can kind of

1784
01:23:43,093 --> 01:23:46,412
Speaker 2: see how it can go too far. So if you're

1785
01:23:46,452 --> 01:23:49,333
Speaker 2: if you're you know, so if you got to the

1786
01:23:49,372 --> 01:23:52,852
Speaker 2: point where you were spending as much, I think it's wrong.

1787
01:23:52,933 --> 01:23:55,253
Speaker 2: If you're spending as much time and as much money

1788
01:23:55,253 --> 01:23:57,412
Speaker 2: on your dog as your kids. Yeah, I think I

1789
01:23:57,412 --> 01:24:01,652
Speaker 2: think that's probably going too far. But but it's hard

1790
01:24:01,692 --> 01:24:03,692
Speaker 2: to question. Yeah, I mean I love my dog Colin

1791
01:24:03,812 --> 01:24:07,412
Speaker 2: so much. Yeah, and walk them constantly, you know, like

1792
01:24:07,452 --> 01:24:08,932
Speaker 2: you know, take him out for a walk every day.

1793
01:24:08,933 --> 01:24:11,213
Speaker 2: And then that's really punishing because it's to sniff everything

1794
01:24:11,213 --> 01:24:13,293
Speaker 2: and it takes ages. And I'm going as long as

1795
01:24:13,293 --> 01:24:14,852
Speaker 2: he's happy, that's fine. I'm willing to give up an

1796
01:24:14,853 --> 01:24:17,333
Speaker 2: hour of my time just to make sure my dog's happy. Yeah,

1797
01:24:17,372 --> 01:24:19,013
Speaker 2: I mean, is that great? I could be spending that

1798
01:24:19,053 --> 01:24:21,293
Speaker 2: time doing something really really productive for my family.

1799
01:24:21,853 --> 01:24:24,732
Speaker 3: Oh, eight hundred eighty ten eighty is the number to

1800
01:24:24,772 --> 01:24:26,412
Speaker 3: call nine two nine two.

1801
01:24:26,532 --> 01:24:28,052
Speaker 2: Till we love our dogs too much.

1802
01:24:29,013 --> 01:24:34,812
Speaker 3: It's thirteen past three, good afternoon. It is sixteen past three,

1803
01:24:34,812 --> 01:24:37,812
Speaker 3: and some great texts coming through on nine two nine two.

1804
01:24:38,412 --> 01:24:40,932
Speaker 2: Hi, my husband is not a dog person. We inherited

1805
01:24:40,973 --> 01:24:43,173
Speaker 2: my mother's we dig when she died, and since that

1806
01:24:43,333 --> 01:24:46,732
Speaker 2: day and prior to him too. He is peanuts dog

1807
01:24:47,053 --> 01:24:50,772
Speaker 2: best friend and Spencer's whole day and morning till night,

1808
01:24:50,893 --> 01:24:53,572
Speaker 2: steering a drawing at him, except when out walking talks

1809
01:24:53,612 --> 01:24:57,253
Speaker 2: about men's talk about man's best friend. Yeah, I mean.

1810
01:24:57,772 --> 01:25:00,532
Speaker 3: Yeah, good text and this one, giddy guys. I own

1811
01:25:00,572 --> 01:25:03,293
Speaker 3: a small independent pet store and I sell a food

1812
01:25:03,372 --> 01:25:06,372
Speaker 3: I think could help ah well with Collins issues.

1813
01:25:06,412 --> 01:25:06,932
Speaker 2: There we go.

1814
01:25:08,452 --> 01:25:11,293
Speaker 3: They've got an email there. Hey, look, Colin, if you're listening,

1815
01:25:12,013 --> 01:25:13,893
Speaker 3: you're a good boy, but that has sticks to my

1816
01:25:14,013 --> 01:25:14,412
Speaker 3: sort yet.

1817
01:25:14,492 --> 01:25:16,492
Speaker 2: Well, Colin, if you're listening, could you just respond to

1818
01:25:16,532 --> 01:25:18,932
Speaker 2: that please that email address there and organize your own

1819
01:25:18,973 --> 01:25:20,092
Speaker 2: food and pay for it yourself.

1820
01:25:20,772 --> 01:25:24,293
Speaker 3: Do you let Colin sleep on the bed n couch.

1821
01:25:25,412 --> 01:25:27,173
Speaker 2: I don't let Colin sleep on the bed. I do

1822
01:25:27,253 --> 01:25:29,372
Speaker 2: let them on the couch. I don't let them sleep

1823
01:25:29,412 --> 01:25:30,732
Speaker 2: on the bed, but I will wake up and find

1824
01:25:30,772 --> 01:25:31,293
Speaker 2: him on the bed.

1825
01:25:31,532 --> 01:25:31,772
Speaker 4: Yeah.

1826
01:25:31,853 --> 01:25:33,532
Speaker 3: Yeah, And you wouldn't do anything about it when you

1827
01:25:33,532 --> 01:25:35,532
Speaker 3: see Colin on the beard, you wouldn't kick them off.

1828
01:25:36,692 --> 01:25:36,852
Speaker 4: No.

1829
01:25:37,133 --> 01:25:40,612
Speaker 2: Oh, that's a tough one. It depends, depends if he's

1830
01:25:40,652 --> 01:25:43,133
Speaker 2: gone for the vertical or horizontal sleep.

1831
01:25:45,053 --> 01:25:47,412
Speaker 3: The sticks are here. Getay, guys, I love my cats

1832
01:25:47,492 --> 01:25:50,652
Speaker 3: more than anyone, including my husband and every one of

1833
01:25:50,652 --> 01:25:53,812
Speaker 3: my family members. It is unhealthy. And before you say

1834
01:25:53,853 --> 01:25:56,572
Speaker 3: cats aren't the same, my cats are runs and meals

1835
01:25:56,612 --> 01:25:58,133
Speaker 3: the minute I drive in from work.

1836
01:25:58,452 --> 01:26:00,173
Speaker 2: I find it interesting. And I've seen this before, and

1837
01:26:00,213 --> 01:26:02,133
Speaker 2: someone might say this is wrong, and I'd love to

1838
01:26:02,133 --> 01:26:03,892
Speaker 2: hear from you in eight hundred and eighty ten eighty.

1839
01:26:03,933 --> 01:26:06,412
Speaker 2: But I've seen people that before they have kids, they

1840
01:26:06,412 --> 01:26:08,812
Speaker 2: love their cats a lot. They love their cats a lot,

1841
01:26:08,812 --> 01:26:10,812
Speaker 2: and then they have the kid and then the cat

1842
01:26:11,173 --> 01:26:14,213
Speaker 2: goes way down the list. But people that have dogs

1843
01:26:14,253 --> 01:26:17,652
Speaker 2: when they have kids, the dog stays up, stays right

1844
01:26:17,692 --> 01:26:19,973
Speaker 2: up there in the importance rankings. Yeah, I mean that

1845
01:26:19,973 --> 01:26:24,932
Speaker 2: definitely happens with fish. Someone has fish in a tank.

1846
01:26:25,492 --> 01:26:27,933
Speaker 2: Once they have kids, the fish is no longer of

1847
01:26:27,973 --> 01:26:28,893
Speaker 2: any interest.

1848
01:26:28,652 --> 01:26:30,772
Speaker 3: Way down the pecking order. But what is it for dogs?

1849
01:26:30,812 --> 01:26:32,973
Speaker 3: Because they match the kid's energy and they're almost like

1850
01:26:33,013 --> 01:26:35,933
Speaker 3: a nanny. They just go outside, you run around, be crazy.

1851
01:26:36,093 --> 01:26:37,572
Speaker 3: You don't have to worry about them for a we will.

1852
01:26:37,812 --> 01:26:39,692
Speaker 2: Yeah, I mean when you lose the dog, it leaves

1853
01:26:39,692 --> 01:26:42,093
Speaker 2: a massive hole because they are there are a lot

1854
01:26:42,133 --> 01:26:44,333
Speaker 2: of admin, and they are in your face and they

1855
01:26:44,333 --> 01:26:48,092
Speaker 2: are looking at you lovingly. But you know, sometimes I think,

1856
01:26:48,572 --> 01:26:51,572
Speaker 2: you know, if an alien came down and looked at

1857
01:26:51,652 --> 01:26:55,492
Speaker 2: my life, would they think that who was ruling the house?

1858
01:26:55,812 --> 01:26:58,852
Speaker 2: It might be my dog Colin because he just walks around.

1859
01:26:58,973 --> 01:27:01,412
Speaker 2: He gets feared. He doesn't have to provide anything. He

1860
01:27:01,452 --> 01:27:04,892
Speaker 2: gets padded and scratched and looked after. And then we

1861
01:27:04,933 --> 01:27:07,052
Speaker 2: take him for a walk and we follow him around

1862
01:27:07,053 --> 01:27:11,012
Speaker 2: with little bag and we pick up his leavings and bags.

1863
01:27:11,213 --> 01:27:13,213
Speaker 2: I mean, if you were looking down that as an

1864
01:27:13,253 --> 01:27:15,732
Speaker 2: alien from above, you go, who is in charge here?

1865
01:27:16,093 --> 01:27:19,772
Speaker 2: Who is who is the master species?

1866
01:27:19,812 --> 01:27:19,972
Speaker 21: There?

1867
01:27:20,053 --> 01:27:23,093
Speaker 2: Is that the guy that's walking around just defecating everywhere

1868
01:27:24,013 --> 01:27:25,772
Speaker 2: and having his leavings picked up or is it the

1869
01:27:25,772 --> 01:27:29,532
Speaker 2: guy that's carrying his leavings behind. There's a great bit

1870
01:27:29,612 --> 01:27:32,572
Speaker 2: by a comedian called Dimitry Martin and he talks about

1871
01:27:32,572 --> 01:27:34,612
Speaker 2: a dog just looking back going, you know, he's done

1872
01:27:34,652 --> 01:27:37,093
Speaker 2: his bit on a boom, and then he looks back

1873
01:27:37,133 --> 01:27:38,892
Speaker 2: and his master's picking it up in a bed, goes.

1874
01:27:38,772 --> 01:27:39,452
Speaker 21: What are you doing?

1875
01:27:39,853 --> 01:27:42,213
Speaker 2: Don't do that. I just got rid of that. Leave

1876
01:27:42,253 --> 01:27:44,612
Speaker 2: it alone? What are you doing putting it in a bag?

1877
01:27:45,293 --> 01:27:46,772
Speaker 2: So good, Neil, how are you.

1878
01:27:48,133 --> 01:27:48,372
Speaker 13: Good?

1879
01:27:48,412 --> 01:27:48,612
Speaker 23: Good?

1880
01:27:48,612 --> 01:27:48,892
Speaker 30: Thanks?

1881
01:27:48,933 --> 01:27:49,573
Speaker 24: Guys.

1882
01:27:50,173 --> 01:27:53,253
Speaker 30: We've always had dogs for years and years, in indoor

1883
01:27:53,333 --> 01:27:56,253
Speaker 30: and outdoor dogs. The two current ones we've got off

1884
01:27:56,253 --> 01:28:00,612
Speaker 30: fluffy white ones sleep on the best, but they bark,

1885
01:28:00,692 --> 01:28:03,053
Speaker 30: you know, they look after the neighbor. They look after

1886
01:28:03,053 --> 01:28:06,932
Speaker 30: the neighborhood. So anyone who's around that shouldn't be around

1887
01:28:06,933 --> 01:28:10,333
Speaker 30: the dogs are hearing them and they're out, you know yet.

1888
01:28:10,452 --> 01:28:13,692
Speaker 30: So yeah, we we love them to bits, but in

1889
01:28:13,732 --> 01:28:16,852
Speaker 30: the end they're still just animals. They're off humans. So

1890
01:28:17,452 --> 01:28:19,692
Speaker 30: with our ones, if we've got to spend heaps too

1891
01:28:19,732 --> 01:28:22,333
Speaker 30: much money on them, it's okay, give them the injection.

1892
01:28:22,492 --> 01:28:26,213
Speaker 2: You know, you had a good life, so you said,

1893
01:28:26,973 --> 01:28:30,652
Speaker 2: so you say, uh, Neil that your dogs are kind

1894
01:28:30,652 --> 01:28:32,812
Speaker 2: of they're kind of doing some work because they're operating

1895
01:28:32,933 --> 01:28:35,572
Speaker 2: as security alarms for you. So they're earning their keep.

1896
01:28:36,612 --> 01:28:37,372
Speaker 30: Yeah, pretty much.

1897
01:28:37,452 --> 01:28:40,133
Speaker 2: Yeah, I mean that's a big it's a bit of

1898
01:28:40,133 --> 01:28:42,253
Speaker 2: a stretch to say they're working dogs doing that, but

1899
01:28:42,572 --> 01:28:44,852
Speaker 2: that they are at least giving something back to the family.

1900
01:28:45,893 --> 01:28:46,852
Speaker 18: Well, there is a terran.

1901
01:28:46,973 --> 01:28:48,532
Speaker 30: You know, if there's a bigger around, they're going to

1902
01:28:48,612 --> 01:28:51,132
Speaker 30: go and think twice about coming and you know, breaking

1903
01:28:51,133 --> 01:28:51,812
Speaker 30: into our place.

1904
01:28:52,213 --> 01:28:52,852
Speaker 18: Even though they are.

1905
01:28:52,772 --> 01:28:55,013
Speaker 30: Small dogs, they you know, the bark is the thing

1906
01:28:55,053 --> 01:28:55,972
Speaker 30: that puts people off.

1907
01:28:56,652 --> 01:28:59,612
Speaker 2: Now, So if you with your dogs, if you did

1908
01:28:59,692 --> 01:29:01,372
Speaker 2: decide that they were too expensive, you went to the

1909
01:29:01,492 --> 01:29:03,652
Speaker 2: veta and that the price was too much to fix

1910
01:29:03,692 --> 01:29:06,293
Speaker 2: one of them, and you decided to go to the injection,

1911
01:29:06,612 --> 01:29:09,892
Speaker 2: would that be your decision or is there other people

1912
01:29:09,933 --> 01:29:10,932
Speaker 2: involved in that decision?

1913
01:29:12,732 --> 01:29:15,572
Speaker 30: So there's there so one other person and she'd be

1914
01:29:15,652 --> 01:29:20,173
Speaker 30: quite happy to to say, yep, no, fine, the cost

1915
01:29:20,173 --> 01:29:23,612
Speaker 30: doesn't too much, you know, and of course you know

1916
01:29:23,692 --> 01:29:26,772
Speaker 30: the dog, you know, the dog has a long life

1917
01:29:27,532 --> 01:29:30,532
Speaker 30: gette where you know you're having to spend more money. Well, hey,

1918
01:29:30,572 --> 01:29:31,772
Speaker 30: you know it's like okay, cool.

1919
01:29:32,213 --> 01:29:34,333
Speaker 2: Have you have you ever thought have you ever thought

1920
01:29:34,412 --> 01:29:36,772
Speaker 2: exactly what that monetary figure would be.

1921
01:29:38,853 --> 01:29:44,372
Speaker 30: Oh, look and a one off cost maybe two grand

1922
01:29:44,372 --> 01:29:47,932
Speaker 30: anything over that, Okay, not.

1923
01:29:47,933 --> 01:29:49,532
Speaker 3: Much, let's go far.

1924
01:29:49,732 --> 01:29:50,372
Speaker 2: That's quite low.

1925
01:29:51,893 --> 01:29:54,412
Speaker 30: Yeah, but you know, having a daughter overseas, if she

1926
01:29:54,532 --> 01:29:56,892
Speaker 30: if we need to fly her back from England, it's

1927
01:29:57,053 --> 01:30:00,293
Speaker 30: the cost is unlimited. You know, I don't care get

1928
01:30:00,293 --> 01:30:00,652
Speaker 30: her back.

1929
01:30:00,772 --> 01:30:01,452
Speaker 18: That's the difference.

1930
01:30:01,652 --> 01:30:03,812
Speaker 2: Yeah, yeah, that is that is a really good way

1931
01:30:03,893 --> 01:30:06,612
Speaker 2: to put it. Yeah. So if you if your daughter

1932
01:30:06,652 --> 01:30:10,293
Speaker 2: was stuck overseas and we're talking about a terrible situation

1933
01:30:10,372 --> 01:30:14,772
Speaker 2: you put in here. But if you, oh no, if

1934
01:30:15,093 --> 01:30:18,253
Speaker 2: your daughter was stuck overseas and some kind of let's

1935
01:30:18,293 --> 01:30:20,412
Speaker 2: just make up a horrible situation, it was a war

1936
01:30:20,492 --> 01:30:21,812
Speaker 2: zone and she didn't have the money to get out,

1937
01:30:22,372 --> 01:30:25,133
Speaker 2: and at the very same time, your dog got a

1938
01:30:25,213 --> 01:30:29,133
Speaker 2: vet bull, then yeah, I mean, and I think that

1939
01:30:29,213 --> 01:30:32,173
Speaker 2: really actually calls into question what this animal psychologists are saying,

1940
01:30:32,372 --> 01:30:34,492
Speaker 2: because I think there's very few people in that situation

1941
01:30:34,652 --> 01:30:36,213
Speaker 2: if they only had a sad amount of money and

1942
01:30:36,213 --> 01:30:38,173
Speaker 2: one was getting their daughter out of a war zone

1943
01:30:38,173 --> 01:30:40,372
Speaker 2: and home and one and the other one was paying

1944
01:30:40,372 --> 01:30:42,173
Speaker 2: the vet bull for the for the for the dog,

1945
01:30:43,013 --> 01:30:45,372
Speaker 2: I don't think you would think that the person that

1946
01:30:45,452 --> 01:30:47,492
Speaker 2: didn't fly their daughter home was a good person. And

1947
01:30:47,532 --> 01:30:49,053
Speaker 2: I don't think there'll be too many people that would

1948
01:30:49,093 --> 01:30:51,412
Speaker 2: do do that. So that kind of calls us into question,

1949
01:30:51,492 --> 01:30:51,932
Speaker 2: doesn't it.

1950
01:30:52,812 --> 01:30:56,812
Speaker 30: Yeah, that's a no brainer situation. You know, preach loses

1951
01:30:57,853 --> 01:30:58,133
Speaker 30: the time.

1952
01:30:58,333 --> 01:31:01,333
Speaker 3: Yeah, good call. Now when you put it that way,

1953
01:31:01,372 --> 01:31:04,693
Speaker 3: if they were in a war zone, yeah, yeah, Sorry.

1954
01:31:03,213 --> 01:31:07,012
Speaker 2: I want to get hold of this animal psychologist and

1955
01:31:07,053 --> 01:31:09,932
Speaker 2: Mark Vetti and put this to them quick text.

1956
01:31:09,933 --> 01:31:11,972
Speaker 3: Then we'll get back to some more of your phone calls.

1957
01:31:12,612 --> 01:31:15,532
Speaker 3: I love my dogs to an insane level. Sometimes I

1958
01:31:15,572 --> 01:31:17,973
Speaker 3: lie in bed at night and give them cuddles and

1959
01:31:18,013 --> 01:31:22,053
Speaker 3: freak out about how I'm going to survive losing them.

1960
01:31:22,492 --> 01:31:26,333
Speaker 3: Lost our last dog at seventeen years old, absolutely destroyed me.

1961
01:31:26,412 --> 01:31:29,372
Speaker 3: They bring so much unconditional love and enjoyment to our lives.

1962
01:31:29,412 --> 01:31:31,932
Speaker 3: I honestly believe I love them on the same level

1963
01:31:31,973 --> 01:31:32,812
Speaker 3: as my children.

1964
01:31:33,333 --> 01:31:34,972
Speaker 2: Yeah, I mean I do that as well. I think

1965
01:31:35,013 --> 01:31:36,652
Speaker 2: about Colin and I don't even like to take them

1966
01:31:36,652 --> 01:31:38,412
Speaker 2: to the vet and say what age is and find

1967
01:31:38,412 --> 01:31:40,612
Speaker 2: out that he's ten, because then I start going how

1968
01:31:40,692 --> 01:31:42,572
Speaker 2: much long is he going to be around for? And

1969
01:31:42,612 --> 01:31:44,972
Speaker 2: even when I'm walking off and think, boy, this guy

1970
01:31:45,133 --> 01:31:47,333
Speaker 2: is going to leave a huge hole and out there.

1971
01:31:47,372 --> 01:31:49,093
Speaker 2: And you know, big dogs, Some big dogs are called

1972
01:31:49,093 --> 01:31:51,692
Speaker 2: heartbreakers because they live such a short amount of time.

1973
01:31:52,013 --> 01:31:53,732
Speaker 2: I mean, at least the little dogs you can get

1974
01:31:53,812 --> 01:31:56,213
Speaker 2: quite a few years out of them. But someone might

1975
01:31:56,253 --> 01:31:57,532
Speaker 2: be abut to help me on nine two nine two.

1976
01:31:57,532 --> 01:31:59,852
Speaker 2: There's a particular breed of dog that they call the

1977
01:31:59,893 --> 01:32:02,213
Speaker 2: heartbreaker because it doesn't it doesn't live very long at all.

1978
01:32:02,293 --> 01:32:04,573
Speaker 3: Yeah, I've got a question for you going to the breakyep.

1979
01:32:04,732 --> 01:32:07,172
Speaker 3: How much do you think we spend on our pets

1980
01:32:07,812 --> 01:32:10,812
Speaker 3: in New zeal Ones per title, per year?

1981
01:32:11,133 --> 01:32:14,412
Speaker 2: Yeah, boy, I bet it's more than I imagine. I'm

1982
01:32:14,412 --> 01:32:16,452
Speaker 2: going to say ninety million.

1983
01:32:16,492 --> 01:32:18,572
Speaker 3: Ninety million. I'll tell you what it's doubled in the

1984
01:32:18,612 --> 01:32:20,532
Speaker 3: past ten years. I'll give you that figure if you

1985
01:32:20,612 --> 01:32:23,732
Speaker 3: think you know nine two ninety two. It is twenty

1986
01:32:23,732 --> 01:32:24,532
Speaker 3: three past three.

1987
01:32:24,452 --> 01:32:27,133
Speaker 2: Oh eight hundred eighteen eighty. Do you love your dog

1988
01:32:27,173 --> 01:32:29,013
Speaker 2: as much as your children would love to hear from you?

1989
01:32:34,213 --> 01:32:37,572
Speaker 1: Matt Heath and Tyler Adams afternoons call oh eight hundred

1990
01:32:37,652 --> 01:32:39,853
Speaker 1: eighty ten eighty on News talk zby.

1991
01:32:39,812 --> 01:32:42,372
Speaker 3: Good Afternoon, twenty six past three so I asked before

1992
01:32:42,452 --> 01:32:45,053
Speaker 3: how much we spend on our pets per year in

1993
01:32:45,173 --> 01:32:46,652
Speaker 3: New Zealand? What was your guests?

1994
01:32:47,133 --> 01:32:48,852
Speaker 2: Ninety million as a total country?

1995
01:32:49,213 --> 01:32:52,852
Speaker 3: Nine zero Yeah, way off, So tell you and I've

1996
01:32:52,853 --> 01:32:55,213
Speaker 3: said before it's doubled in the last ten years. So

1997
01:32:55,253 --> 01:32:59,652
Speaker 3: in twenty fourteen we spent eight hundred million dollars. This

1998
01:32:59,772 --> 01:33:02,572
Speaker 3: year or last year actually we spent one point six billion.

1999
01:33:02,933 --> 01:33:07,012
Speaker 2: Wow. So that's on everything, food, vet bills, toys, little

2000
01:33:07,133 --> 01:33:08,613
Speaker 2: ducks that squeak, everything.

2001
01:33:08,412 --> 01:33:11,732
Speaker 3: Calling matts. Yeah, crazy money though, isn't it. Why are

2002
01:33:11,772 --> 01:33:13,133
Speaker 3: we spending so much from our pets?

2003
01:33:13,173 --> 01:33:16,932
Speaker 2: Is that because, as this animal psychologist said, that the

2004
01:33:16,973 --> 01:33:19,852
Speaker 2: oxy to the oxy tone and the love hormon fires

2005
01:33:19,933 --> 01:33:21,253
Speaker 2: up in the same way for our dogs as it

2006
01:33:21,293 --> 01:33:24,052
Speaker 2: does for our kids. I was saying before, they're asking

2007
01:33:24,093 --> 01:33:25,772
Speaker 2: what was the dog that was called the heartbreaker? Because

2008
01:33:25,772 --> 01:33:27,412
Speaker 2: it lives such a short life, it's the great day

2009
01:33:27,452 --> 01:33:30,372
Speaker 2: in six to eight years? Is that the what you

2010
01:33:30,372 --> 01:33:32,173
Speaker 2: can expect from a great day? And that's heartbreaking.

2011
01:33:32,253 --> 01:33:35,732
Speaker 3: I couldn't do that, no, Chris. How much you spend

2012
01:33:35,732 --> 01:33:36,853
Speaker 3: on your pets.

2013
01:33:38,973 --> 01:33:42,452
Speaker 9: Not a huge amount actually, just food.

2014
01:33:42,492 --> 01:33:45,412
Speaker 31: It's only been to the bet twice and it's.

2015
01:33:46,692 --> 01:33:48,173
Speaker 9: Sixteen, seventeen years old.

2016
01:33:49,053 --> 01:33:50,412
Speaker 2: Well, what kind of dog is that, Chris?

2017
01:33:51,452 --> 01:33:52,892
Speaker 31: It's a little mini fox terrier.

2018
01:33:53,053 --> 01:33:55,532
Speaker 2: Oh yeah, yeah, that that'll have a good long life.

2019
01:33:55,612 --> 01:33:58,532
Speaker 2: And Chris, do do you do? What do you think

2020
01:33:58,532 --> 01:34:00,732
Speaker 2: about this person that says we love our dogs as

2021
01:34:00,772 --> 01:34:01,612
Speaker 2: much as our children.

2022
01:34:02,893 --> 01:34:08,333
Speaker 9: Oh the odd one for me because we can't have pits.

2023
01:34:07,973 --> 01:34:14,772
Speaker 9: But I remember when I the reason we got it

2024
01:34:14,812 --> 01:34:17,333
Speaker 9: was we were talking about and maybe getting a dog,

2025
01:34:17,652 --> 01:34:22,892
Speaker 9: and I used to There's a pitch shop attached to

2026
01:34:22,933 --> 01:34:25,492
Speaker 9: a warehouse in Horror.

2027
01:34:26,093 --> 01:34:29,253
Speaker 31: And I used to walk in and just see what

2028
01:34:29,333 --> 01:34:29,612
Speaker 31: was in it.

2029
01:34:30,333 --> 01:34:33,852
Speaker 9: And there was this little tiny puppy steering at me

2030
01:34:34,013 --> 01:34:36,812
Speaker 9: the whole time, and there was heaps.

2031
01:34:36,572 --> 01:34:38,532
Speaker 31: Of people in there, but it was just staring at.

2032
01:34:38,412 --> 01:34:41,892
Speaker 9: Me, and I could hold up my palm.

2033
01:34:41,893 --> 01:34:42,612
Speaker 21: It was only like.

2034
01:34:44,213 --> 01:34:49,092
Speaker 9: The one or two weeks old and I was standing

2035
01:34:49,173 --> 01:34:51,093
Speaker 9: down a ring my wife and said, we've got a dog.

2036
01:34:53,013 --> 01:34:53,812
Speaker 3: What did she say?

2037
01:34:55,572 --> 01:34:56,133
Speaker 21: She was heavy?

2038
01:34:57,532 --> 01:34:58,772
Speaker 31: It's feisty though.

2039
01:34:59,772 --> 01:35:09,173
Speaker 2: What what what's the dog's name? It answers to three, okay, right.

2040
01:35:10,532 --> 01:35:12,812
Speaker 31: Basically what happened was.

2041
01:35:14,213 --> 01:35:15,132
Speaker 9: It's a female.

2042
01:35:16,293 --> 01:35:21,532
Speaker 31: But I always wanted a dog named Dave. And I

2043
01:35:21,572 --> 01:35:24,173
Speaker 31: think I'm going to call it Dave in my wife,

2044
01:35:24,412 --> 01:35:30,852
Speaker 31: we're not calling it Dave, and so we could call

2045
01:35:30,853 --> 01:35:37,532
Speaker 31: it Dave. It doesn't much female. So she decided it

2046
01:35:37,572 --> 01:35:39,732
Speaker 31: was going to be called Poppet.

2047
01:35:40,452 --> 01:35:44,772
Speaker 3: Poppet, Yeah, you have no idea.

2048
01:35:44,812 --> 01:35:49,052
Speaker 9: How embarrassing it is a walk apart with a bloke

2049
01:35:49,173 --> 01:35:50,532
Speaker 9: yelling at.

2050
01:35:52,692 --> 01:35:54,412
Speaker 2: Yeah, that's right. But I totally get what you want

2051
01:35:54,412 --> 01:35:57,492
Speaker 2: to call you your dog, Dave, because my dog's called

2052
01:35:57,692 --> 01:36:00,492
Speaker 2: Colin and someone has asked me what breed Colin has

2053
01:36:00,572 --> 01:36:03,812
Speaker 2: come through? It's he's a many Schnauls and a Jack

2054
01:36:03,893 --> 01:36:07,452
Speaker 2: Russell cross, which is also known as a schnack. This

2055
01:36:07,492 --> 01:36:10,652
Speaker 2: is a text here. Dogs are truly man's best friend.

2056
01:36:10,732 --> 01:36:16,133
Speaker 2: Case in point, arrive home allowed an hour late to

2057
01:36:16,133 --> 01:36:19,093
Speaker 2: pick up your partner and our arrive in our home

2058
01:36:19,213 --> 01:36:21,972
Speaker 2: late to pick up your dog, and see who's happiest

2059
01:36:21,973 --> 01:36:23,572
Speaker 2: to see you, and it's always going to be the dog.

2060
01:36:23,973 --> 01:36:26,572
Speaker 3: Yeah, just so, Colin, why did you pick the name

2061
01:36:26,612 --> 01:36:26,932
Speaker 3: of Colin?

2062
01:36:27,893 --> 01:36:29,412
Speaker 2: Well, my kids picked the name Colin. It was from

2063
01:36:29,452 --> 01:36:32,933
Speaker 2: an episode of Blackadder where it was an episode on

2064
01:36:32,973 --> 01:36:36,213
Speaker 2: this episode about an election and there was there was

2065
01:36:36,253 --> 01:36:38,932
Speaker 2: only there was a rotten borough, and there was only

2066
01:36:39,013 --> 01:36:41,293
Speaker 2: one inhabitant and one of them was a dash called Colin,

2067
01:36:41,692 --> 01:36:43,372
Speaker 2: so we wanted to call the dog Colin. And now

2068
01:36:43,412 --> 01:36:45,852
Speaker 2: there's lots of dogs called Colin. Dame Lisa Carrington her

2069
01:36:45,893 --> 01:36:48,892
Speaker 2: dog's called Colin. Yeah, and there's also that Australian TV

2070
01:36:48,933 --> 01:36:52,093
Speaker 2: show Colin from Accounts. So when we called our dog Colin,

2071
01:36:52,133 --> 01:36:53,812
Speaker 2: it was just about blackout of it. Now Colin's a

2072
01:36:53,933 --> 01:36:55,052
Speaker 2: very popularad for dogs.

2073
01:36:55,093 --> 01:36:57,612
Speaker 3: Strong name. Oh one hundred and eighty eighty is the

2074
01:36:57,692 --> 01:36:59,852
Speaker 3: number to call. We'll pick this back up after the

2075
01:36:59,853 --> 01:37:01,852
Speaker 3: headlines is bang on three point thirty.

2076
01:37:03,812 --> 01:37:07,372
Speaker 15: Jews Talk said the headlines with blue bubble taxis it's

2077
01:37:07,452 --> 01:37:10,372
Speaker 15: no trouble with a blue bubble. The Prime Minister is

2078
01:37:10,452 --> 01:37:13,933
Speaker 15: promising a new redress system to compensate for abuse and

2079
01:37:14,053 --> 01:37:17,253
Speaker 15: care will be operational next year and is putting up

2080
01:37:17,293 --> 01:37:21,293
Speaker 15: thirty two million dollars to bolster current efforts. Chris Lucksen

2081
01:37:21,372 --> 01:37:24,973
Speaker 15: offered survivors a national apology in Parliament today for the

2082
01:37:25,173 --> 01:37:30,013
Speaker 15: historic violence and neglect in state and faith based care institutions.

2083
01:37:30,973 --> 01:37:35,893
Speaker 15: Statsane Z says electronic card transactions increase slightly from September

2084
01:37:35,933 --> 01:37:39,012
Speaker 15: to October, but year on year spendings fall in one

2085
01:37:39,013 --> 01:37:42,452
Speaker 15: point one percent. In September, the annual vicre fell five

2086
01:37:42,492 --> 01:37:46,973
Speaker 15: point six percent. A family from Auckland's north Shore have

2087
01:37:47,133 --> 01:37:50,972
Speaker 15: won this year's second largest lotto prize thirty point two

2088
01:37:51,093 --> 01:37:56,572
Speaker 15: million dollars. The ticket bought in Albany, Auckland Zoo's last elephant, Burma,

2089
01:37:56,812 --> 01:37:59,492
Speaker 15: is heading to Adelaide to join a multi animal herd

2090
01:37:59,812 --> 01:38:04,612
Speaker 15: at Australia's Manato Safari Park. Burhmer's lived in Auckland for

2091
01:38:04,732 --> 01:38:07,732
Speaker 15: thirty four years after arriving from Me and Mark at

2092
01:38:07,732 --> 01:38:12,572
Speaker 15: the age of eight. Disillusionment is real, so could Donald

2093
01:38:12,572 --> 01:38:15,852
Speaker 15: Trump happen in New Zealand too? You can read Simon

2094
01:38:15,853 --> 01:38:18,772
Speaker 15: Wilson's full column at and said Harold Premium, I'm back

2095
01:38:18,812 --> 01:38:20,373
Speaker 15: to Matt Eathan Tyler Adams.

2096
01:38:20,412 --> 01:38:23,052
Speaker 3: Thanks very much, Rayleen. It's twenty six to four and

2097
01:38:23,133 --> 01:38:26,053
Speaker 3: we've asked the question do we love our pets too much?

2098
01:38:26,093 --> 01:38:28,452
Speaker 3: On the back of Mark Vetts, who's a very well

2099
01:38:28,492 --> 01:38:33,012
Speaker 3: known animal psychologist. He says the hormonal bond created between

2100
01:38:33,093 --> 01:38:35,612
Speaker 3: humans and their dogs in this instance is about the

2101
01:38:35,652 --> 01:38:37,692
Speaker 3: same level as towards our children and family.

2102
01:38:37,812 --> 01:38:41,173
Speaker 2: Great name for a animal psychologist, Mark Vett, isn't it is?

2103
01:38:41,293 --> 01:38:45,052
Speaker 3: Yeah? Love this text? Hey boys, my dog comes first.

2104
01:38:45,133 --> 01:38:47,612
Speaker 3: My dog sits in the front seat while my son

2105
01:38:47,692 --> 01:38:50,013
Speaker 3: sits in the back seat. Every time, I have to

2106
01:38:50,053 --> 01:38:52,293
Speaker 3: lay on the floor for twenty minutes every night when

2107
01:38:52,293 --> 01:38:54,212
Speaker 3: I get home as a dog is just so excited

2108
01:38:54,213 --> 01:38:54,572
Speaker 3: to see me.

2109
01:38:54,612 --> 01:38:58,732
Speaker 2: From Craig, Yeah, yeah, I mean, that's a lot of

2110
01:38:58,732 --> 01:39:00,053
Speaker 2: love for animals out there. And also I like to

2111
01:39:00,053 --> 01:39:01,412
Speaker 2: hear on it a wea e te hundred and eighty

2112
01:39:01,452 --> 01:39:05,532
Speaker 2: ten eighty the outsized amounts of money you've spent on

2113
01:39:05,532 --> 01:39:08,732
Speaker 2: on dogs at the vet as well. But it's got

2114
01:39:08,732 --> 01:39:12,692
Speaker 2: a grig. This got to Thomas Thomas, good afternoon, Thanks

2115
01:39:12,692 --> 01:39:15,333
Speaker 2: for calling your thoughts on dog love.

2116
01:39:17,213 --> 01:39:21,532
Speaker 18: Well, I have a story about dog love. This time

2117
01:39:21,772 --> 01:39:26,372
Speaker 18: last year, I was in Christiach Hospital with ball cancer

2118
01:39:26,812 --> 01:39:29,493
Speaker 18: and I had some complications. I was in the hospital

2119
01:39:29,492 --> 01:39:35,892
Speaker 18: for over two weeks. My miniature Schnauzer stood at the

2120
01:39:35,933 --> 01:39:39,932
Speaker 18: window of my house for two weeks looking for me. Wow,

2121
01:39:40,372 --> 01:39:45,173
Speaker 18: would not move. My wife had to force it, well,

2122
01:39:45,213 --> 01:39:47,572
Speaker 18: not forced it for but had to bring him his food,

2123
01:39:47,973 --> 01:39:51,812
Speaker 18: bring him his water, carry him outside to go to

2124
01:39:51,853 --> 01:39:55,093
Speaker 18: the toilet. He would not move for two weeks.

2125
01:39:55,652 --> 01:39:55,852
Speaker 2: Wow.

2126
01:39:55,933 --> 01:40:01,013
Speaker 18: And when I came home, that dog went crazy.

2127
01:40:01,652 --> 01:40:07,253
Speaker 2: Man. That is beautiful and what it was. What's the

2128
01:40:07,253 --> 01:40:07,812
Speaker 2: dog's name?

2129
01:40:08,973 --> 01:40:09,173
Speaker 17: Oh?

2130
01:40:09,253 --> 01:40:11,652
Speaker 18: That was Oscar. Now Oscar Stanley has.

2131
01:40:12,093 --> 01:40:15,732
Speaker 12: Passed on, which makes the story even more bittersweet. But

2132
01:40:16,253 --> 01:40:20,253
Speaker 12: he passed on earlier this year, and we have adopted

2133
01:40:20,293 --> 01:40:23,812
Speaker 12: a lovely spigure Staniel to take his place.

2134
01:40:23,853 --> 01:40:27,213
Speaker 3: I'm sorry, say, I mean, you've said it, old, Thomas.

2135
01:40:27,253 --> 01:40:29,492
Speaker 3: That's you know, they get wrought into your hunt genuinely,

2136
01:40:29,532 --> 01:40:32,892
Speaker 3: dogs pets, and I feel the same, honestly. It is

2137
01:40:33,053 --> 01:40:36,892
Speaker 3: so I can understand this research. They they are part

2138
01:40:36,893 --> 01:40:37,053
Speaker 3: of the.

2139
01:40:37,053 --> 01:40:43,133
Speaker 18: Family, absolutely so I have from my own personal experience.

2140
01:40:44,532 --> 01:40:47,333
Speaker 12: I just think dogs are part of the family. They're

2141
01:40:47,372 --> 01:40:50,812
Speaker 12: not human, but I think for many of us, they're

2142
01:40:50,853 --> 01:40:55,093
Speaker 12: just as important in our lives as our human fail.

2143
01:40:55,893 --> 01:40:58,093
Speaker 2: And I'm Thomas, if you don't mind me asking, how's

2144
01:40:58,133 --> 01:40:58,732
Speaker 2: your health now?

2145
01:41:01,093 --> 01:41:02,732
Speaker 18: All I'm still on the side of the grass.

2146
01:41:03,093 --> 01:41:03,333
Speaker 2: Yep.

2147
01:41:04,372 --> 01:41:06,652
Speaker 18: Well yeah, so okay, pretty good, pretty good?

2148
01:41:06,772 --> 01:41:08,972
Speaker 2: Okay. Well that's that's that's great to hit Thomas, And

2149
01:41:08,973 --> 01:41:12,412
Speaker 2: what a fantastic story. That actually makes me quite emotional.

2150
01:41:12,333 --> 01:41:14,732
Speaker 3: Y a little bit here and there, because if I.

2151
01:41:14,692 --> 01:41:18,092
Speaker 2: Hear when I'm picking up the dog and from from

2152
01:41:18,293 --> 01:41:21,253
Speaker 2: the you know, because we share a dog. Me and

2153
01:41:21,293 --> 01:41:23,532
Speaker 2: my my ex partner. We share the dog. We share

2154
01:41:23,572 --> 01:41:25,692
Speaker 2: the dog and the kids, and the dog always comes

2155
01:41:25,692 --> 01:41:27,932
Speaker 2: with the kids, so they always travel together. So it's

2156
01:41:27,973 --> 01:41:29,492
Speaker 2: the first thing you know that the kids are coming

2157
01:41:29,492 --> 01:41:31,452
Speaker 2: over for my week with them is that Colin comes

2158
01:41:31,452 --> 01:41:33,612
Speaker 2: to the house first, and he's up the stairs much quicker.

2159
01:41:34,572 --> 01:41:36,612
Speaker 2: But then I hear that he was he knows the

2160
01:41:36,652 --> 01:41:37,972
Speaker 2: day that he's going to my house and he will

2161
01:41:38,013 --> 01:41:42,492
Speaker 2: wait all day so expectation like by the drive waiting

2162
01:41:42,532 --> 01:41:44,333
Speaker 2: to go to come and see me. That makes me

2163
01:41:44,333 --> 01:41:44,812
Speaker 2: feel good.

2164
01:41:44,853 --> 01:41:45,333
Speaker 3: That's good.

2165
01:41:45,372 --> 01:41:47,892
Speaker 2: And then when his mum's picking him up, he gets

2166
01:41:48,213 --> 01:41:50,492
Speaker 2: he can hear the calf so far down the street

2167
01:41:50,532 --> 01:41:54,293
Speaker 2: before she arrives, and gets so incredibly excited about her arriving.

2168
01:41:54,412 --> 01:41:57,012
Speaker 2: And you know, knowing that makes you feel, It makes

2169
01:41:57,013 --> 01:41:58,852
Speaker 2: you feel, no matter what's going on in the world,

2170
01:41:58,893 --> 01:42:00,213
Speaker 2: that someone loves you.

2171
01:42:00,452 --> 01:42:04,493
Speaker 3: Yep, get a bleir Gooday, guys.

2172
01:42:05,213 --> 01:42:07,812
Speaker 21: So the story I'm going to share is going to

2173
01:42:08,093 --> 01:42:10,173
Speaker 21: chance sound a bit weird to a lot of people.

2174
01:42:11,372 --> 01:42:14,372
Speaker 21: But I'm in the unfortunate position of having lost both

2175
01:42:14,372 --> 01:42:22,932
Speaker 21: a dog and a child, and there the love you

2176
01:42:22,973 --> 01:42:27,372
Speaker 21: have for your child is equal to the love you

2177
01:42:27,412 --> 01:42:31,572
Speaker 21: have for your dog and vice versa. The difference, it's

2178
01:42:31,612 --> 01:42:34,812
Speaker 21: going to sound weird, and you know, so I hope

2179
01:42:34,853 --> 01:42:39,412
Speaker 21: people don't hate on me. But when we lost our

2180
01:42:39,492 --> 01:42:47,492
Speaker 21: daughter first, and that was sudden, unexpected, no cause has

2181
01:42:47,492 --> 01:42:50,452
Speaker 21: been found, she just didn't wake up on a Sunday morning.

2182
01:42:52,372 --> 01:42:57,333
Speaker 21: And you're kind of too busy to cry, if you

2183
01:42:57,333 --> 01:43:00,053
Speaker 21: know what I mean. Yeah, because you just you just

2184
01:43:00,333 --> 01:43:04,772
Speaker 21: like totally in shock and you're in limbo for months

2185
01:43:04,812 --> 01:43:08,132
Speaker 21: on end. But when we had to make the decision

2186
01:43:08,133 --> 01:43:10,293
Speaker 21: to put the pup down, she wasn't a pup, she

2187
01:43:10,333 --> 01:43:15,293
Speaker 21: was eleven, but we called our dogs pup. She had

2188
01:43:15,333 --> 01:43:20,213
Speaker 21: the pancreatic cancer. So we made the decision to put

2189
01:43:20,213 --> 01:43:22,932
Speaker 21: her out of her misery. And that was extremely upsetting.

2190
01:43:23,013 --> 01:43:30,532
Speaker 21: And I did cry. Because I didn't cry immediately for

2191
01:43:30,812 --> 01:43:33,772
Speaker 21: my daughter doesn't mean I didn't love her any less, Yeah,

2192
01:43:34,893 --> 01:43:37,812
Speaker 21: you know what I mean. And so it was the

2193
01:43:37,853 --> 01:43:41,293
Speaker 21: fact that we with the daughter, it happened so fast,

2194
01:43:41,372 --> 01:43:45,493
Speaker 21: I didn't really have an opportunity to process it immediately.

2195
01:43:48,013 --> 01:43:52,412
Speaker 21: But you know, at that feeling that that lost and

2196
01:43:52,452 --> 01:43:56,053
Speaker 21: everything lingered for a lot longer than it did with

2197
01:43:57,532 --> 01:43:57,932
Speaker 21: the dog.

2198
01:43:58,853 --> 01:44:02,372
Speaker 2: Yeah, I mean, you know what I'm trying to say, yeah,

2199
01:44:02,492 --> 01:44:05,892
Speaker 2: and the way grief manifests is not always the same.

2200
01:44:06,532 --> 01:44:10,812
Speaker 2: Because someone doesn't cry, that has no bearing on how

2201
01:44:10,893 --> 01:44:14,692
Speaker 2: much it's ripping someone's soul to pieces at all.

2202
01:44:15,732 --> 01:44:17,692
Speaker 21: Don't get me wrong. I cried, but it was probably

2203
01:44:17,692 --> 01:44:20,852
Speaker 21: a couple of weeks later. Once, yeah, once all the

2204
01:44:20,893 --> 01:44:23,852
Speaker 21: funeral preparations have been arranged and people have been in

2205
01:44:23,893 --> 01:44:28,013
Speaker 21: and you know, offered their condolences and their sympathies, and

2206
01:44:28,013 --> 01:44:29,932
Speaker 21: you have everyone coming around, it's when they all bugger

2207
01:44:30,013 --> 01:44:32,372
Speaker 21: off again and they're left to your own thoughts. That's

2208
01:44:32,412 --> 01:44:35,053
Speaker 21: when things catch up with you. But yeah, I was

2209
01:44:35,133 --> 01:44:38,533
Speaker 21: just I was just coming at it from a different perspective.

2210
01:44:38,572 --> 01:44:42,652
Speaker 21: And we've got another dog now, and no doubt, if

2211
01:44:42,692 --> 01:44:44,452
Speaker 21: we have to go down the same path with him,

2212
01:44:44,772 --> 01:44:46,173
Speaker 21: I will feel exactly the same.

2213
01:44:46,572 --> 01:44:50,692
Speaker 2: And Blair having that dog, you know, when you're going

2214
01:44:50,732 --> 01:44:55,612
Speaker 2: through a grieving situation, and even though obviously it's very

2215
01:44:55,692 --> 01:44:58,653
Speaker 2: hard to deal with it and any kind of consolation

2216
01:44:59,372 --> 01:45:03,173
Speaker 2: is hard to come by, but having a dog and

2217
01:45:03,173 --> 01:45:05,492
Speaker 2: the love of a dog in a situation like that

2218
01:45:05,692 --> 01:45:08,253
Speaker 2: is important, isn't it.

2219
01:45:09,333 --> 01:45:13,372
Speaker 21: I think the difference is that you can get another dog, yeah,

2220
01:45:13,412 --> 01:45:17,093
Speaker 21: but you can't get another daughter. Yeah, yeah, yeah, so

2221
01:45:17,133 --> 01:45:19,693
Speaker 21: you can get another dog and you can start unconditionally

2222
01:45:19,692 --> 01:45:22,412
Speaker 21: loving that, Yes, and it kind of feels a void

2223
01:45:22,452 --> 01:45:25,492
Speaker 21: that the other dog left behind, but you obviously can't

2224
01:45:25,532 --> 01:45:25,812
Speaker 21: do that.

2225
01:45:25,812 --> 01:45:26,333
Speaker 4: With a daughter.

2226
01:45:26,732 --> 01:45:28,452
Speaker 2: Yeah, one hundred cent, And thank you so much for

2227
01:45:28,812 --> 01:45:33,412
Speaker 2: sharing your story with a left that's heartbreaking. And I

2228
01:45:33,412 --> 01:45:36,052
Speaker 2: guess you would go back to this animal psychologist, Mark

2229
01:45:36,173 --> 01:45:39,333
Speaker 2: Vetti with a story like that, and it kind of

2230
01:45:40,253 --> 01:45:43,532
Speaker 2: makes it ridiculous what he's saying. Yeah, because you can

2231
01:45:43,652 --> 01:45:45,532
Speaker 2: really really love your dog, but when you put it

2232
01:45:45,612 --> 01:45:49,092
Speaker 2: like that one on one, it's it is a totally

2233
01:45:49,133 --> 01:45:50,212
Speaker 2: different thing here.

2234
01:45:50,612 --> 01:45:54,372
Speaker 3: And you know Blair was in that awful but unique

2235
01:45:54,412 --> 01:45:58,972
Speaker 3: situation and I can't comprehend that. Yeah, really, it really

2236
01:45:58,973 --> 01:46:00,772
Speaker 3: puts it into perspective, that's for sure. Oh eight one

2237
01:46:00,812 --> 01:46:02,572
Speaker 3: hundred and eighty ten eighty is the number to call

2238
01:46:03,133 --> 01:46:07,093
Speaker 3: back with more of your phone calls. Shortly have a.

2239
01:46:07,173 --> 01:46:12,013
Speaker 1: Chat with the boys on It and Taylor Adams afternoons

2240
01:46:12,213 --> 01:46:15,093
Speaker 1: you for twenty twenty four News Talk said, be it's

2241
01:46:15,093 --> 01:46:15,892
Speaker 1: a quarter to four.

2242
01:46:16,053 --> 01:46:19,732
Speaker 2: We've been talking about animal psychologist Mark Vetty, who has

2243
01:46:20,093 --> 01:46:24,052
Speaker 2: claimed that the oxytoast and the love hormone is about

2244
01:46:24,093 --> 01:46:26,492
Speaker 2: the same level as we feel towards children and our

2245
01:46:26,532 --> 01:46:28,892
Speaker 2: family members, and the dogs have the same level of

2246
01:46:28,933 --> 01:46:32,293
Speaker 2: oxytosin back the love between dogs and humans. I think

2247
01:46:32,412 --> 01:46:35,772
Speaker 2: we've probably, especially with Blair's call, you definitely call into

2248
01:46:35,893 --> 01:46:38,812
Speaker 2: question the idea that we can. I mean when it

2249
01:46:38,853 --> 01:46:41,612
Speaker 2: comes down to the pure raw and what an amazing

2250
01:46:41,652 --> 01:46:45,532
Speaker 2: call that was from Blair, But the raw difference between

2251
01:46:45,532 --> 01:46:47,692
Speaker 2: the loss of a child and the loss of a dog,

2252
01:46:48,853 --> 01:46:50,972
Speaker 2: when you're not like comparable. When you put it like that,

2253
01:46:51,053 --> 01:46:55,333
Speaker 2: then it does. It does definitely make your question what

2254
01:46:55,372 --> 01:46:57,652
Speaker 2: he's saying there. But there's no doubt that we love

2255
01:46:57,692 --> 01:46:58,173
Speaker 2: our dogs.

2256
01:46:58,253 --> 01:47:01,972
Speaker 3: Yeah, absolutely, Hey you agree, Hey.

2257
01:47:01,812 --> 01:47:05,372
Speaker 20: Guys, And they are two pretty tough calls to follow

2258
01:47:05,452 --> 01:47:10,173
Speaker 20: up with Tom and Blair, will it. But it really

2259
01:47:10,213 --> 01:47:15,133
Speaker 20: comes down like I remember an age old question if

2260
01:47:15,173 --> 01:47:19,093
Speaker 20: you had two kids and you were floating down the

2261
01:47:19,173 --> 01:47:23,253
Speaker 20: river and you could only rescue one kid, which one which.

2262
01:47:23,133 --> 01:47:25,293
Speaker 27: Go and.

2263
01:47:27,013 --> 01:47:29,532
Speaker 20: A similar to it, I have a child and a

2264
01:47:29,572 --> 01:47:32,213
Speaker 20: dog in the river, which one would to go for?

2265
01:47:32,812 --> 01:47:36,572
Speaker 20: And so I think the answer is that, yeah, you

2266
01:47:37,372 --> 01:47:42,213
Speaker 20: savior child infantly, and we're out hesitation.

2267
01:47:42,532 --> 01:47:47,253
Speaker 2: No, you would, you absolutely would, And that just cuts

2268
01:47:47,293 --> 01:47:48,213
Speaker 2: through this study.

2269
01:47:48,213 --> 01:47:49,412
Speaker 3: You wouldn't even think about it.

2270
01:47:49,532 --> 01:47:52,133
Speaker 2: And I hope someone has said this to that guy,

2271
01:47:52,213 --> 01:47:56,133
Speaker 2: because he's written this thing, and I'm sure he wasn't

2272
01:47:56,133 --> 01:47:59,253
Speaker 2: looking at it. In terms of the actual beer logic

2273
01:47:59,293 --> 01:48:02,093
Speaker 2: of the situation, it does call to mind, Greg, there

2274
01:48:02,133 --> 01:48:05,452
Speaker 2: was a situation that's a horrible, horrible situation happened. I

2275
01:48:05,532 --> 01:48:08,173
Speaker 2: might remember it from a few years ago when a

2276
01:48:08,372 --> 01:48:11,693
Speaker 2: message that a nuclear attack on Hawaii was sent off accidentally.

2277
01:48:11,692 --> 01:48:15,013
Speaker 2: There was a warning to Hawaii around the time that

2278
01:48:15,093 --> 01:48:18,612
Speaker 2: North Korea was rattling their sabers a lot, and it

2279
01:48:18,692 --> 01:48:22,692
Speaker 2: went out to all Hawaiians that a nuclear attack was imminent.

2280
01:48:23,612 --> 01:48:28,213
Speaker 2: And this came across and this I saw an interview

2281
01:48:28,253 --> 01:48:31,372
Speaker 2: with a dad and he was pretty much equally distant

2282
01:48:31,412 --> 01:48:34,452
Speaker 2: between his two kids at different schools, and he was

2283
01:48:34,492 --> 01:48:40,173
Speaker 2: standing there, going which kid do I drive to? Man, Now.

2284
01:48:41,732 --> 01:48:43,133
Speaker 3: That's a choice.

2285
01:48:43,133 --> 01:48:48,053
Speaker 2: Can you imagine being in that situation? Unanswerable? Absolutely unanswerable.

2286
01:48:49,412 --> 01:48:53,372
Speaker 2: But yeah, you know, as much as I love Colin,

2287
01:48:53,412 --> 01:48:56,452
Speaker 2: there is absolutely no doubt that if there was a

2288
01:48:56,492 --> 01:49:01,253
Speaker 2: situation where saving either of my kids or saving my

2289
01:49:01,333 --> 01:49:03,812
Speaker 2: dog that I mean, as much as I love Colin,

2290
01:49:03,933 --> 01:49:06,492
Speaker 2: it would not even be as you say it would

2291
01:49:06,492 --> 01:49:08,293
Speaker 2: not even be a second's decision.

2292
01:49:08,612 --> 01:49:11,932
Speaker 3: Yeah, sorry, Cale, You're a good boy, you peck.

2293
01:49:12,253 --> 01:49:14,293
Speaker 2: You're a good boy. You're a good boy. But yeah,

2294
01:49:14,372 --> 01:49:15,692
Speaker 2: you know you're not one of my kids.

2295
01:49:15,893 --> 01:49:18,213
Speaker 3: Greg, Thank you very much. Dan, how do you feel

2296
01:49:18,213 --> 01:49:18,572
Speaker 3: about this?

2297
01:49:19,812 --> 01:49:23,053
Speaker 23: Not too bad? Not too bad? He a happy story here.

2298
01:49:24,173 --> 01:49:28,012
Speaker 23: I was a businessman for a while and my sister

2299
01:49:28,053 --> 01:49:30,492
Speaker 23: brought me a little dog because she felt that I

2300
01:49:30,532 --> 01:49:33,732
Speaker 23: had everything and bosically he was crossed between the foxy

2301
01:49:33,933 --> 01:49:37,492
Speaker 23: and a two hour Not sure how it happened, but

2302
01:49:37,532 --> 01:49:40,772
Speaker 23: it did, and she called yuppie. Well, he became my

2303
01:49:40,933 --> 01:49:44,652
Speaker 23: constant mate, and he always used to walk or run

2304
01:49:45,572 --> 01:49:48,013
Speaker 23: a couple of meters in front of me, so I

2305
01:49:48,053 --> 01:49:50,452
Speaker 23: could never sneak up on anybody because don't see the

2306
01:49:50,532 --> 01:49:54,612
Speaker 23: dog put and I'd say, there comes this tent. However,

2307
01:49:55,213 --> 01:49:57,213
Speaker 23: I had cause to spend quite a bit of time

2308
01:49:57,253 --> 01:50:01,933
Speaker 23: going into our local bank, and I would go in

2309
01:50:02,013 --> 01:50:06,053
Speaker 23: with the dogs, and the bank recexist when we had

2310
01:50:06,053 --> 01:50:09,173
Speaker 23: them in those days, would have a couple of little

2311
01:50:09,253 --> 01:50:13,412
Speaker 23: those pet chocolate on the buttons, which he went straight

2312
01:50:13,452 --> 01:50:17,372
Speaker 23: to and had a feet of And there was a

2313
01:50:17,372 --> 01:50:20,412
Speaker 23: set of stairs that went straight up to the bank

2314
01:50:20,452 --> 01:50:25,892
Speaker 23: manager's office. Now if I had an appointment. There were

2315
01:50:25,933 --> 01:50:28,892
Speaker 23: times when I'd still be busy at the teller and

2316
01:50:29,173 --> 01:50:32,452
Speaker 23: Yuppy would wait at the bottom of the stairs, and

2317
01:50:32,772 --> 01:50:36,173
Speaker 23: the bank manager would say, come on up, Yuppy talking

2318
01:50:36,213 --> 01:50:38,173
Speaker 23: to the dog, and the dog would go up the

2319
01:50:38,173 --> 01:50:41,013
Speaker 23: stairs and wait up in the boardroom until I got

2320
01:50:41,093 --> 01:50:46,412
Speaker 23: up there. He was everybody that they loved them. Now,

2321
01:50:46,532 --> 01:50:52,012
Speaker 23: just to finish the story of unfortunately the marriage didn't

2322
01:50:52,053 --> 01:50:55,253
Speaker 23: work out that well, and we managed to sort out

2323
01:50:55,372 --> 01:51:01,092
Speaker 23: all our business affairs, our boy, our cars, et cetera,

2324
01:51:01,213 --> 01:51:04,173
Speaker 23: the whole lot. The only thing that we couldn't settle

2325
01:51:04,213 --> 01:51:07,732
Speaker 23: on was custody of the dog, of which in the

2326
01:51:07,893 --> 01:51:10,452
Speaker 23: end we were to a family court, which was a

2327
01:51:10,452 --> 01:51:13,533
Speaker 23: bit of a joke at first, and we've got awarded

2328
01:51:14,013 --> 01:51:19,572
Speaker 23: fifty percent the dog. I could do not.

2329
01:51:21,572 --> 01:51:22,492
Speaker 17: He was a great dog.

2330
01:51:22,612 --> 01:51:27,293
Speaker 23: He lived w he was about eighteen, and yeah, he

2331
01:51:27,412 --> 01:51:31,293
Speaker 23: certainly wasn't great companion. I've had dogs since done nothing

2332
01:51:31,452 --> 01:51:31,772
Speaker 23: like them.

2333
01:51:32,293 --> 01:51:35,292
Speaker 2: Well, blessed Yuppie. What great what a great story. Yeah,

2334
01:51:35,013 --> 01:51:39,572
Speaker 2: when the situation we've got a fifty percent custody of

2335
01:51:39,612 --> 01:51:41,253
Speaker 2: the of the dog. As I say, before the dog

2336
01:51:41,293 --> 01:51:43,053
Speaker 2: goes with the kids, the dog is always, And that

2337
01:51:43,173 --> 01:51:45,133
Speaker 2: was an interesting thing that I was talking to my

2338
01:51:45,213 --> 01:51:46,812
Speaker 2: kids the other day and they were they're always with

2339
01:51:46,853 --> 01:51:49,293
Speaker 2: the dog, so they're never not with the dog.

2340
01:51:49,692 --> 01:51:51,973
Speaker 3: So they are effectively like siblings and the regard up.

2341
01:51:52,452 --> 01:51:54,572
Speaker 3: They always go to get they're always with Colin here. Yeah,

2342
01:51:54,612 --> 01:51:57,133
Speaker 3: I imagine that's pretty common though these days. If there

2343
01:51:57,213 --> 01:52:00,053
Speaker 3: is a breakup or a separation and there's a pet,

2344
01:52:00,213 --> 01:52:04,173
Speaker 3: a dog involved that you both you know raised that

2345
01:52:04,213 --> 01:52:06,892
Speaker 3: the dog becomes fifty to fifty. It is like you

2346
01:52:06,893 --> 01:52:09,293
Speaker 3: go to each parents house a couple of weeks at

2347
01:52:09,293 --> 01:52:12,013
Speaker 3: a time, quick text to the break Geday, guys, I'm

2348
01:52:12,013 --> 01:52:15,173
Speaker 3: a farmer. Have trained fifty dogs and loved everyone apart

2349
01:52:15,173 --> 01:52:18,372
Speaker 3: from a couple of bared eggs. Of those, fifty three

2350
01:52:18,412 --> 01:52:21,732
Speaker 3: have retired into our family home and have become inside pets.

2351
01:52:22,173 --> 01:52:24,852
Speaker 3: Have made over one hundred thousand k over the years

2352
01:52:24,893 --> 01:52:27,492
Speaker 3: selling trained dogs. They are my life. I've spent more

2353
01:52:27,492 --> 01:52:30,532
Speaker 3: on vet bills than on doctors visits for my kids.

2354
01:52:31,692 --> 01:52:34,053
Speaker 2: Yeah. So fifty dogs and loved every one of them,

2355
01:52:34,253 --> 01:52:37,293
Speaker 2: well except for one. What the bad eggs were like?

2356
01:52:37,652 --> 01:52:40,572
Speaker 3: Yeah, I eight one hundred and eighty ten eighty is

2357
01:52:40,572 --> 01:52:42,173
Speaker 3: the number to cool nine two nine two is the

2358
01:52:42,173 --> 01:52:44,333
Speaker 3: text number. It is ninety four.

2359
01:52:45,812 --> 01:52:49,293
Speaker 1: The big stories, the big issues, the big trends and

2360
01:52:49,532 --> 01:52:53,253
Speaker 1: everything in between. That heat and Tyler Adams Afternoons. You

2361
01:52:53,412 --> 01:52:55,933
Speaker 1: for twenty twenty four used dogs Dead B dead B.

2362
01:52:56,933 --> 01:52:59,532
Speaker 3: Get a tom So sorry we've only got about ninety

2363
01:52:59,652 --> 01:53:01,172
Speaker 3: seconds your love of dogs.

2364
01:53:02,652 --> 01:53:04,612
Speaker 14: Oh yeah, I had a good story. I was visiting

2365
01:53:04,612 --> 01:53:09,333
Speaker 14: in business in christ He's actually got a cromation business.

2366
01:53:09,372 --> 01:53:12,173
Speaker 14: It's pretty much any think the business does do, and

2367
01:53:12,213 --> 01:53:14,532
Speaker 14: he's got I went in there one day and I

2368
01:53:14,652 --> 01:53:17,133
Speaker 14: walked out on to the street with the owner. The

2369
01:53:17,133 --> 01:53:20,333
Speaker 14: dog followed, started to walk up the road and he

2370
01:53:20,412 --> 01:53:22,333
Speaker 14: yelled at the dog to get back in the office.

2371
01:53:22,412 --> 01:53:25,293
Speaker 14: The dog turned around. We'll start as strolling back tired

2372
01:53:25,333 --> 01:53:28,412
Speaker 14: hold labrador snarled at him and walked into the office.

2373
01:53:28,812 --> 01:53:31,492
Speaker 14: That was quite funny. But he told me an interesting story.

2374
01:53:31,572 --> 01:53:35,053
Speaker 14: He said, whenever he's doing a cromation, the dog refuses

2375
01:53:35,093 --> 01:53:39,652
Speaker 14: to go in the building. Yeah, apparently he'll just sit

2376
01:53:39,732 --> 01:53:43,412
Speaker 14: outside until it's all done and then he'll go back inside.

2377
01:53:43,532 --> 01:53:46,652
Speaker 2: Well he knows something. Yeah, thank you for so much. Now,

2378
01:53:47,372 --> 01:53:49,973
Speaker 2: what an hour of dog chat it's been.

2379
01:53:49,532 --> 01:53:52,692
Speaker 3: That's that was roller coaster. I've certainly changed my view

2380
01:53:52,732 --> 01:53:54,852
Speaker 3: on how I feel about Pepper. I still love it

2381
01:53:54,893 --> 01:53:58,253
Speaker 3: to death, but you know, hopefully when we have children

2382
01:53:58,253 --> 01:54:00,572
Speaker 3: in this in this life that they certainly she goes

2383
01:54:00,572 --> 01:54:01,372
Speaker 3: down the pecking order.

2384
01:54:01,452 --> 01:54:03,412
Speaker 2: Well it's so great, you know, I'm just new to

2385
01:54:03,452 --> 01:54:05,892
Speaker 2: talk back. But that was a very emotional now, especially

2386
01:54:05,933 --> 01:54:09,213
Speaker 2: the stories from Blair and Thomas. They were they were

2387
01:54:09,412 --> 01:54:12,852
Speaker 2: fantastic stories and it was very awesome to have them

2388
01:54:12,893 --> 01:54:16,293
Speaker 2: shared with us and heartbreaking stuff. But yeah, I love

2389
01:54:16,372 --> 01:54:19,133
Speaker 2: my dog Colin, but this has been put into stark

2390
01:54:19,173 --> 01:54:24,132
Speaker 2: realization that it became between them and my kids, between

2391
01:54:24,133 --> 01:54:26,892
Speaker 2: Colin and my kids. Goodbye Colin, you.

2392
01:54:26,853 --> 01:54:28,372
Speaker 3: Good bye Colin. We need to have a chat to

2393
01:54:28,412 --> 01:54:31,852
Speaker 3: their Vitty the Animal Psychologist. I love your work, Mark,

2394
01:54:31,973 --> 01:54:35,933
Speaker 3: but I think the callers have spoken on this one.

2395
01:54:36,133 --> 01:54:39,333
Speaker 2: Anyway. Thank you so much for for your course today.

2396
01:54:39,333 --> 01:54:41,972
Speaker 2: We've been a great hour of radio the Dogs and

2397
01:54:42,373 --> 01:54:44,852
Speaker 2: we'll see you tomorrow for more of it and give

2398
01:54:44,893 --> 01:54:45,573
Speaker 2: them a taste of key with

2399
01:55:53,573 --> 01:55:56,173
Speaker 1: For more from News Talks at b Listen live on

2400
01:55:56,293 --> 01:55:59,253
Speaker 1: air or online, and keep our shows with you wherever

2401
01:55:59,293 --> 01:56:01,813
Speaker 1: you go with our podcasts on iHeartRadio