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Speaker 1: Oh, get a team. It's bloody project. That's you, of

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Speaker 1: course it is. It's Patrick, it's Tiffany, it's me, it's

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Speaker 1: Jumbo in the studio. It's minus fifteen degrees in Hampton.

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Speaker 1: I was rugged up like a bloody I was going

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Speaker 1: to say an Eskimo. You're not allowed to say that.

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Speaker 1: A what do we say? Patrick? Is it Inuit person

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Speaker 1: in it?

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Speaker 2: I guess it depends on where you come from. If

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Speaker 2: it's North America or Canada. I think it's inwit.

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Speaker 1: Yeah, okay, And Tiffany and Cook who when she lasts,

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Speaker 1: which she will in this episode, everyone you'll hear sound

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Speaker 1: like a familiar cartoon character. Aka, there she is, There,

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Speaker 1: she is, there, she is.

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Speaker 3: It's Muttley.

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Speaker 1: Muttley.

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Speaker 3: Yeah, Ucky races.

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Speaker 1: There she is. Even Patrick can tell without being told,

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Speaker 1: or like, listen to you. Oh gosh, I don't know

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Speaker 1: what makes that resonance in your throat. I'm guessing it's

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Speaker 1: phlem Ei no, no, Well, I wonder how many days

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Speaker 1: of podcasts are going to be infiltrated by the bloody

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Speaker 1: Martley factor. Anyway, we had yesterday, We've got today. Patrick,

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Speaker 1: how are you?

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Speaker 3: I'm good?

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Speaker 2: By coincidence with the Wacky Races. My only nickname at

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Speaker 2: school was Professor Pat Pending.

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Speaker 1: That everybody as in Patent Pending.

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Speaker 2: Yeah, because Pat Pending was one of the characters in

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Speaker 2: the Wacky Races. He was the Wacky Professor, and because

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Speaker 2: in the Gadget's even as a kid, someone decided that

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Speaker 2: Pat Pending would be a good nickname for me.

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Speaker 1: Well, we might start calling you Pat from now on,

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Speaker 1: although you are Pat, so maybe we'll just call you

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Speaker 1: pp Pat Pending. How have you been it's been a

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Speaker 1: couple of weeks. Well, other than bullying Craig Harper savagely

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Speaker 1: before the recording started, both of you, honestly, yes, now

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Speaker 1: you're lying. Paka, can I say everyone? It was about

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Speaker 1: three minutes of just let's attack Harps and laugh at

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Speaker 1: our own bullying by these two poor little defenseless Harps

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Speaker 1: metaphorically in the corner, cowering, and these two standing over him,

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Speaker 1: pointing their fat, little fucking fingers at me and laughing

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Speaker 1: at each other with the barbs that they were each throwing.

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Speaker 2: We were laughing with each other at you, not laughing

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Speaker 2: at each other.

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Speaker 3: We would never laugh at each other. Tif is so

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Speaker 3: nice to me. She would never laugh at me.

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Speaker 1: Great, all right, I'm bringing hr which is me straight

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Speaker 1: after this.

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Speaker 2: I think you'll find it's people in culture, Greig, people

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Speaker 2: not here, Patrick, fuck people in culture.

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Speaker 3: The only culture we have, your freaks.

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Speaker 1: All we have is people. There's no culture. Now. Tips

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Speaker 1: turned and might look at her. She's fucking just Oh

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Speaker 1: she's thrown her spleen out onto the depths. She's put

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Speaker 1: her bloody mute on him. Why did you put your

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Speaker 1: mic on you? Did you nearly dislocate one of your kidneys? Again?

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Speaker 1: I have to put that back in with a spatula? Fuck?

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Speaker 1: What's going on with you?

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Speaker 2: What did it say about my life? You asked me earlier?

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Speaker 2: How how I've been? What does it say about my

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Speaker 2: life that one of the most exciting things that happened

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Speaker 2: in the last fortnight was Fritz and I walking along

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Speaker 2: a new footpath that was made in our town.

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Speaker 1: Wow, it's bland. I'd say that probably made the front

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Speaker 1: page of the Balan Gallette.

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Speaker 3: It was pretty pretty exciting.

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Speaker 2: Is that was that? I mean, all honesty, What does

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Speaker 2: that say about me? That I was excited to walk

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Speaker 2: on a new footpath? Mind you, I've been here for

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Speaker 2: eighteen years and we haven't had any footpaths in the time.

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Speaker 2: Like you know, most streets don't have footpaths. My street

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Speaker 2: where I live doesn't have a footpath, so having a

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Speaker 2: new footpath going was quite big for an entire block

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Speaker 2: as well.

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Speaker 1: Well, it's good that you're telling everyone in Australia. It's

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Speaker 1: because fuck, we're on the edge of our seats. But no,

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Speaker 1: I think it's good. You know why I think it's

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Speaker 1: good means it doesn't take much to make you happy.

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Speaker 1: And that's a nice thing. Yeah, yeah, because a lot

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Speaker 1: of people it takes a lot. Even when their life's great,

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Speaker 1: they're still bitching about shit. Let me find let me

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Speaker 1: look past all the good stuff to find something to

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Speaker 1: bitch about. You know, Tip's dying over there of fucking

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Speaker 1: some lung disease. But she's still smiling. She's still she's

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Speaker 1: still showing up Mutley, she's still muttling. Speaking of Mutley,

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Speaker 1: there's another dog on the other side. Fritz's Fritz the wunderdog,

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Speaker 1: who hasn't spoken a word, but somehow as a co

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Speaker 1: host if other than dying from the black plague. How

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Speaker 1: are you?

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Speaker 4: I'm feeling good. I'm good. Thank you?

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Speaker 1: M are you better? Than yesterday.

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Speaker 4: Yes, yeah, I am actually and the.

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Speaker 1: Day before Patrick or sorry, day before Patrick, we did

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Speaker 1: a podcast and about halfway through the podcast, Tiff hit

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Speaker 1: the wall and you could just see the deterioration. And

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Speaker 1: every time I offer to bring her into the chat,

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Speaker 1: he's like, nah, oh good. And then we had another

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Speaker 1: podcast recording straight after that one. She's like, I can't

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Speaker 1: do it. I'm like, okay, you go and lie down.

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Speaker 1: So it's been an interesting medical kind of time over here.

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Speaker 1: Let's talk about tech and such interesting things. Patrick. I

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Speaker 1: actually spoke with it this one yesterday, but we'll cover

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Speaker 1: it again quickly with David Gillespie about the lady who

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Speaker 1: sued Meta and YouTube ended up getting a payout of

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Speaker 1: six million. I thought it was three, but apparently it.

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Speaker 2: Was six three years three US conversion you no, No,

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Speaker 2: it wasn't.

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Speaker 1: I said that same thing and he corrected me because

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Speaker 1: it was three and three for something else. Apparently. Anyway,

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Speaker 1: it was millions of dollars. The matter, the money doesn't matter,

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Speaker 1: but yeah, walk us through this.

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Speaker 3: Well.

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Speaker 2: The thing is this has been in the courts and

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Speaker 2: it's and it's pretty landmark because whence she have a

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Speaker 2: test case in the US courts and something's been proven.

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Speaker 2: In this particular case, this is a woman who's twenty

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Speaker 2: years old. She had been on social media since she

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Speaker 2: was a young child, so first it was YouTube and

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Speaker 2: then she went over to the meta stuff, so Instagram.

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Speaker 2: But she was claiming, and the jury have come out

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Speaker 2: and said, well, yes, she's correct that she became addicted

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Speaker 2: to social media and it impacted on her mental state,

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Speaker 2: her sense of self that and it was the algorithms

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Speaker 2: and the mechanisms behind it that are inherently addictive.

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Speaker 3: So it was just that.

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Speaker 2: And I know you have very strong opinions about this

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Speaker 2: to Crago, and at the end of the day, we

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Speaker 2: all make those decisions ourselves whether to flick or turn

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Speaker 2: the phone off and put it away.

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Speaker 3: Ultimately, in this particular instance.

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Speaker 2: It may be a watershed case because it means that

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Speaker 2: it's now open the way for potentially hundreds and hundreds,

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Speaker 2: even thousands. Some of it may very well be legitimate.

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Speaker 2: You know, people who are susceptible to things like addictions.

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Speaker 2: Electronic addictions are definitely a thing, So you can see

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Speaker 2: where there would be a whole lot of people, but

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Speaker 2: we're talking that you know, there are potentially sixteen hundred

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Speaker 2: plaintifs in additional cases, three hundred and fifty families, two

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Speaker 2: hundred and fifty school districts. They're all watching what's happening

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Speaker 2: here and potentially lots more.

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Speaker 3: Cases of its sort. But I mean this is a

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Speaker 3: drop on the ocean. Mind.

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Speaker 2: You know, whether it's six million dollars US, that's not

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Speaker 2: a lot of money to a big.

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Speaker 3: Company like Meta.

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Speaker 2: But what it may mean is they may have to

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Speaker 2: change the way that they use their algorithms, they may

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Speaker 2: have to change the mechanisms. So they're still defending themselves saying, well,

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Speaker 2: we didn't do anything wrong.

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Speaker 3: It's not our platform. And the same with Google and YouTube.

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Speaker 2: So it could mean a lot of different things in

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Speaker 2: terms of a more legal cases and b whether it

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Speaker 2: could force these big tech companies to change the way

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Speaker 2: they try to.

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Speaker 1: People in Yeah, yeah, no, it is fascinating and there's

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Speaker 1: a kind of an intersection of legal stuff and psychological

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Speaker 1: stuff and neuroscience stuff, and yeah, what was interesting chatting

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Speaker 1: with Gillespie because he's a lawyer, right, so he was

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Speaker 1: with like the challenges to prove causation not just correlation,

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Speaker 1: and then you go, well, if if all of these

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Speaker 1: millions of people are using what she's using, but they

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Speaker 1: don't have what she has. It's very hard to go

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Speaker 1: this caused it when there are so many other variables.

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Speaker 1: But apparently they figured out a way that I think

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Speaker 1: the only I think it was the only kind of

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Speaker 1: social media stuff she used, was that anyway, they found

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Speaker 1: a way. The they found out a way to allegedly

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Speaker 1: prove or to prove. So the judge ruled obviously in

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Speaker 1: favor of the plaintiff, and now Meta has appealed it.

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Speaker 1: So yeah, like you said, if that goes down and

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Speaker 1: it sticks, David reckons, it could take five years in

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Speaker 1: and out of court. So that's what they wanted to do.

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Speaker 1: They want to they want to manipulate the system so

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Speaker 1: they're not guilty just yet, or they don't have to

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Speaker 1: pay out or And also, like you said, it's not

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Speaker 1: about the dough because whatever it is, three or six million,

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Speaker 1: they don't that's four minutes of work for them. But

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Speaker 1: it's the consequences of if this sticks, then that's a

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Speaker 1: nightmare for them moving forward. But staying in the legal

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Speaker 1: space man court using.

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Speaker 2: Sorry, can I just before you go on this one

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Speaker 2: other little point that you may not have talked about

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Speaker 2: and I guess got I mean, obviously the legal ramifications,

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Speaker 2: but what I wanted to point out in this particular

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Speaker 2: case is this was a young child, so that when

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Speaker 2: she started using social media, and it kind of vindicates

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Speaker 2: the fact that we've got a now a ban in

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Speaker 2: Australia for under sixteen's. UK is now looking at taking

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Speaker 2: this on board because we know that the teenage brain

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Speaker 2: can be more susceptible. There's a higher level of plasticity,

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Speaker 2: So if you are manipulating the teenage brain or a

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Speaker 2: children a child's brain at a really early age, that's

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Speaker 2: another factor that came out in this case. I think

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Speaker 2: that's really important to understand that these are young people

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Speaker 2: who don't have the ability to make those conscious decisions

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Speaker 2: that we do as adults, because we've got our formative brains,

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Speaker 2: you know, we can look at right and wrong, we

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Speaker 2: can make decisions, but young people have a different sort

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Speaker 2: of way of thinking. And I think that's the other

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Speaker 2: thing that I don't know how much it's been discussed,

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Speaker 2: but I think it's a very interesting way to look

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Speaker 2: at the band that we've got in Australia and how

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Speaker 2: other countries are now doing the same thing that we've done,

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Speaker 2: and taking social media away from children under the age

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Speaker 2: of sixteen.

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Speaker 1: Yeah, two things. One I agree with the taking it

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Speaker 1: away from them, so I'm not anti this. I agreed

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Speaker 1: with you. But to manipulate the teenage brain or the

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Speaker 1: child our brain happens constantly in life, with parents, with school,

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Speaker 1: with peers, with television, with music, with influences with I mean,

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Speaker 1: so to go to manipulate the brain. Yeah, but it's

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Speaker 1: always been manipulated. It's always being affected or impacted. But yeah,

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Speaker 1: I agree with you, and I don't know. I don't

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Speaker 1: know what the answer is, but we'll see. All right, now,

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Speaker 1: tell us about the bloke who got caught using smart

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Speaker 1: glasses to get advice. This is so clever. So he's

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Speaker 1: gone to court. He's wearing smart glasses and he's getting

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Speaker 1: advice while he's being cross examined by the I guess

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Speaker 1: prosecutors what it it's so smart?

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Speaker 3: Look at easy?

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Speaker 2: It isn't because he got caught. So it's an interesting case.

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Speaker 2: This was in January and it was in the UK

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Speaker 2: High Court and it was a Lithuanian guy who's a

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Speaker 2: CEO of a company that was trying to battle insolvencies,

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Speaker 2: so he was fighting against their insolvency ruling. But what

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Speaker 2: the judge noticed that during questioning the guy would has

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Speaker 2: for a few seconds and then start to answer and

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Speaker 2: during cross examination, and so he was being prompted by

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Speaker 2: smart glasses. And then of course once the judge realized

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Speaker 2: and told him to take off the glasses, he became

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Speaker 2: pretty obvious he was just being cheating because he went,

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Speaker 2: I don't know, I don't know, I don't know. So

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Speaker 2: that was kind of interesting, you know. So it's funny

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Speaker 2: because it is, and.

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Speaker 3: I think that.

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Speaker 2: But the interesting thing is now it's going to get

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Speaker 2: more subtle because I saw an article recently. We can

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Speaker 2: now get contact lenses are coming out that are smart

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Speaker 2: contacts that can actually have.

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Speaker 3: A little screen built into them.

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Speaker 2: So it's going to get harder to work out whether

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Speaker 2: or not someone's being prompted in a.

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Speaker 3: Case like this. So that isn't it funny?

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Speaker 1: I thought, So whether prompt's visual or auditory.

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Speaker 2: On a screen. Now they were on a screen. He's

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Speaker 2: got his smart glasses. It was projecting on the screen

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Speaker 2: of the smart glasses.

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Speaker 1: So was it generating like a script or something? No?

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Speaker 2: I think no, actually no, in this particular case, it

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Speaker 2: was through his ear It was the little speakers inside

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Speaker 2: the smart glasses. So I think there may have been

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Speaker 2: a second person listening and then prompting him, and he

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Speaker 2: was hearing it, so he was sitting back and listening

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Speaker 2: and then replying.

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Speaker 3: In this petition, She's.

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Speaker 1: Just worn an earpiece, way easier. Yeah, this is interesting.

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Speaker 1: Victorian business is fine for telling influencers to lie about

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Speaker 1: paid Instagram posts in first of it's kind penalty, and

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Speaker 1: I think, well, to me, what that's I mean, every

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Speaker 1: influencer that's selling this or that protein powder or that

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Speaker 1: range of vite, you know, and they're like, well this

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Speaker 1: is this is how I look like this. No, that's

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Speaker 1: just not true. But it's almost like we know that.

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Speaker 2: Yeah, you're right normally in those cases. But in this instance,

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Speaker 2: what they did was they told the influences not to

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Speaker 2: say that they received something in turn for the review.

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Speaker 3: That's where there's that's all right, Yeah, so you're quite right.

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Speaker 2: That's what influencers do. They promote a product, and it's

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Speaker 2: pretty obvious that they got this. You know, we were

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Speaker 2: sent this Tesla and now we're saying it's a great car.

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Speaker 3: But in this instance, that's not what happens.

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Speaker 2: So the company was fined thirty nine thousand, six hundred dollars.

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Speaker 2: A company called Thomson consolidated and they have an online

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Speaker 2: service called Photo book Shop, and so thirty six thirty

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Speaker 2: nine thousand dollars for a smaller business is quite a

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Speaker 2: significant amount. But it also, you know, puts the message

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Speaker 2: out there about the way that you use influencers, in

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Speaker 2: the way that products are disclosed, and whether or not

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Speaker 2: the disclosed. They also changed someone's review as well. They

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Speaker 2: were called out changing.

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Speaker 3: A review that was a little bit critical.

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Speaker 2: I think the review said something along the lines of

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Speaker 2: the product was a bit clunky to use, and they

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Speaker 2: edited that bit out.

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Speaker 1: Wow, well you won't like the next one you or tip.

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Speaker 1: Android brands face a rough twenty twenty six with more

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Speaker 1: iPhone switched. In other words, people going to iPhone.

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Speaker 3: Yeah that was.

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Speaker 1: Distressing for you, you bloody Android groupie.

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Speaker 2: Well not really because I've got a Pixel phone, and

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Speaker 2: Pixel was the least problematic of the Android ecosystem, so

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Speaker 2: Pixel didn't do too bad. They're looking like they're still tracking. Okay,

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Speaker 2: it's the Samsung's huaweies and all the other phones on

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Speaker 2: the market show me that sort of thing. But it

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Speaker 2: is interesting that there has been a shift. Australia has

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Speaker 2: a very big uptake of Apple products. I've got to

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Speaker 2: say now the iPhone is very prolific in Australia.

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Speaker 3: I don't know.

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Speaker 2: I think it might be one in two, or it

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Speaker 2: might even be more. I can't remember what the stats were.

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Speaker 2: I haven't looked at them for a few years, but

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Speaker 2: certainly Australia is a great adopter of Apple iPhones. People

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Speaker 2: love iPhones in Australia. That said, that's how it's tracking.

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Speaker 3: At the moment.

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Speaker 2: There are concerns because of what's going on in the

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Speaker 2: Middle East and access to chips, the chips that are

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Speaker 2: used in phones, and it looks like that the production

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Speaker 2: of Android devices and Snapdragon, the different chips in those,

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Speaker 2: and there the tensor trips, the chips that they're being

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Speaker 2: used by androids. Where Apple has its own little ecosystem,

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Speaker 2: they have a different production line, and so it seems.

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Speaker 3: Like there's more confidence in the Apple products.

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Speaker 1: I thought you, how's yours gone, Tiff is in your

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Speaker 1: phone being a bit problematic at the moment.

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Speaker 5: Yes, I write today I would jump ship to an iPhone.

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Speaker 5: My phone keeps dropping out in phone calls all the time.

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Speaker 5: I don't know if it's a phone issue or a

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Speaker 5: network issue or what.

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Speaker 4: Maybe Patrick could help you.

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Speaker 3: What is it? What sort of phone is it?

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Speaker 4: So?

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Speaker 3: Do you restart the phone regularly?

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Speaker 4: Yeah? And I believe it started after I did an update.

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Speaker 3: Yeah. That that can actually be really problematic.

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Speaker 2: Sometimes when an update comes through, you can roll back updates.

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Speaker 3: There's a way to do it. You'd need to google it.

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Speaker 2: But one of the things that you can solve a

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Speaker 2: lot of those problems is to go into aeroplane mode

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Speaker 2: for a few minutes and that or a few seconds

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Speaker 2: and then switch airplane mode off, and that basically reinitiates

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Speaker 2: the connection to the network.

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Speaker 3: That may help as well, if that's going to be

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Speaker 3: ongoing problem. That Yeah is good, didn't she Craigo?

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Speaker 1: Oh yeah, she's better than me and potentially better than you.

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Speaker 1: I'm interested in this because my dad has sleep apna,

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Speaker 1: and as do a bunch of people. Of course, the

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Speaker 1: one hundred and ninety nine dollars Vita ring sounds almost

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Speaker 1: like a drink. A Vita ring wakes you up mid

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Speaker 1: apna before you ever know it. Happened, So what is

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Speaker 1: that just vibrated on your finger or something does?

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Speaker 2: Yeah, the thing that bear in mind is that one

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Speaker 2: hundred and ninety nine is a special on Kickstarter in

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Speaker 2: US dollars, so it's got just about maybe two hundred

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Speaker 2: and sixty two hundred and seventy dollars. This is one

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Speaker 2: of the first smart rings that I've considered getting for myself.

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Speaker 2: I live by myself and Fritz never complains. Of course,

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Speaker 2: then go around the other side, but no, he doesn't

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Speaker 2: normally explain about me, you know, snoring or making any

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Speaker 2: noises at night.

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Speaker 3: That's it.

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Speaker 2: This is an interesting one because for people who do

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Speaker 2: you smart tech to monitor their sleep, say it's an

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Speaker 2: Apple watch or whatever device or a Samsung, the problem

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Speaker 2: is that generally you've got to charge them up every

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Speaker 2: two or three days, whereas a smart ring like this

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Speaker 2: has a lot longer in terms of its ability to track.

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Speaker 2: But it's also less cumbersome. It looks nice or it's

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Speaker 2: very solid. Like looking at this particular one, it's it

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00:18:25,600 --> 00:18:30,359
Speaker 2: looks pretty substantive, you know, it's really it's scratch proof,

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Speaker 2: all that sort of stuff.

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Speaker 3: And they have this system.

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Speaker 2: So Vedas come up with this idea of alert, advice

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Speaker 2: and act. So some of these health metrics that you

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Speaker 2: look at are just monitoring and they don't actively do anything.

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Speaker 2: So you wake up in the morning, you look at

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Speaker 2: your smart watch statistics and it says, right, you had

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Speaker 2: six and a half hours of really good sleep, but

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Speaker 2: you tossed and turned for two hours or something. You know,

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Speaker 2: I'm not eveentirely sure what the algorithm says, but in

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Speaker 2: this instance, it monitors in real time and it looks

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Speaker 2: like yours s patterns are and when it notices you

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Speaker 2: potentially going into an appnear mode, that's when the vibration

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Speaker 2: starts enough for you to be jolted to the point

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Speaker 2: where you may roll over in bed or do something

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Speaker 2: different just because of the movement. So it may not

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Speaker 2: even wake you up, but it will cause you to

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Speaker 2: alter your sleep pattern or your movement in bed. And

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Speaker 2: this sounds really interesting. It's got a whole lot of

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Speaker 2: different met health metrics, so seventeen different health metrics are

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Speaker 2: being monitored.

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Speaker 3: By the ring.

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Speaker 2: But I can also see this would be great for

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Speaker 2: older people potentially because they're probably more used to wearing

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Speaker 2: a ring than a like a smart watch can becomesome

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Speaker 2: for them and too technical, whereas this is a lot

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Speaker 2: more subtle. And that's what I like about the idea

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Speaker 2: of wearing something like this. I tried wearing my watch

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Speaker 2: to bed a few times. I struggle wearing a watch

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Speaker 2: to bed. What about you, guys? Do you do to

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Speaker 2: health track it all?

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Speaker 3: Tiff bed.

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Speaker 1: I can't wear watches, old fashioned watches because they start,

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Speaker 1: you know, the chronograph watches. If I wear a watch,

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Speaker 1: the watch like within about an hour.

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00:20:02,520 --> 00:20:07,000
Speaker 3: What yep, yeah, litrically charged. What the hell?

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00:20:07,080 --> 00:20:11,040
Speaker 1: Yeah, I've had it fifty times. I get a watch

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00:20:11,160 --> 00:20:14,800
Speaker 1: and put it on and the watch stops. Yeah. I

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Speaker 1: know that's weird and that you might not believe me.

399
00:20:17,200 --> 00:20:21,440
Speaker 1: Like digital watch is fine, but like old school watches, yeah,

400
00:20:21,480 --> 00:20:24,720
Speaker 1: I can't work. That's why you've never seen like neither

401
00:20:24,760 --> 00:20:27,119
Speaker 1: of you have seen me ever with a watch. I

402
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Speaker 1: like watching. I just can't wear them.

403
00:20:29,840 --> 00:20:32,760
Speaker 2: So what this battery powered and wind up So both

404
00:20:32,800 --> 00:20:35,320
Speaker 2: you've tried both the battery ones and the wind up ones.

405
00:20:36,280 --> 00:20:39,640
Speaker 1: That's a good question. I well, definitely had wind up ones. Yeah,

406
00:20:39,680 --> 00:20:42,320
Speaker 1: but they stop. Yeah, I don't know. Well, I'm sure

407
00:20:42,359 --> 00:20:44,560
Speaker 1: there's a reason for that. I was just going to say, Patrick,

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00:20:44,600 --> 00:20:47,800
Speaker 1: I could see you in a potential mister Patrick getting

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Speaker 1: married and exchanging Vita rings at the altar?

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Speaker 3: Did that at work?

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Speaker 2: I do that?

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Speaker 1: Yeah, like as long as he's a geek as well.

413
00:20:59,480 --> 00:21:03,520
Speaker 1: Google's start shaming apps that drain your battery?

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Speaker 2: How good is that? This is interesting? We'll see what

415
00:21:06,280 --> 00:21:08,680
Speaker 2: people may not realize. Well, look, for most of us,

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00:21:08,720 --> 00:21:10,639
Speaker 2: we know we're in a new city or where somewhere

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00:21:10,640 --> 00:21:13,679
Speaker 2: where we haven't been, and turn on our GPS and

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00:21:13,800 --> 00:21:16,960
Speaker 2: use our phone to walk around and get around the place.

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Speaker 3: Our batteries get drained pretty significantly. I don't know if you've.

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00:21:20,200 --> 00:21:24,760
Speaker 2: Noticed that before, but certainly using GPS drains your battery. However,

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00:21:25,119 --> 00:21:27,359
Speaker 2: what a lot of people don't realize is that lots

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Speaker 2: of apps do lots of different things and use up

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00:21:29,920 --> 00:21:34,439
Speaker 2: different system resources. Consequently, they actually take up more power

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00:21:34,440 --> 00:21:35,159
Speaker 2: than other apps.

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Speaker 3: So in this.

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Speaker 2: Instance, what Google is now doing is it's rolling out

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00:21:39,359 --> 00:21:43,640
Speaker 2: in the play Store a little indicated to say how

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Speaker 2: much that app is power.

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Speaker 3: Hungry, which is kind of cool.

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Speaker 2: So it means that when you're loading up new apps

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Speaker 2: on your phone, you can say, okay, this may be problematic,

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Speaker 2: or you switch the app off. So you know that

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Speaker 2: it's not going to cause problems if you want, you know,

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Speaker 2: I like that. A lot of phones now go into

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00:22:00,359 --> 00:22:03,320
Speaker 2: a power save mode so you can set and this

436
00:22:03,400 --> 00:22:04,879
Speaker 2: is an interesting one. If you're going to spend a

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Speaker 2: whole day away from chargers and you don't want to

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Speaker 2: waste battery, what you can do is go into power

439
00:22:11,880 --> 00:22:14,560
Speaker 2: save mode. That will effectively turn off all the things

440
00:22:14,560 --> 00:22:17,520
Speaker 2: that aren't necessary, so you'll extend the battery life. I

441
00:22:17,600 --> 00:22:20,440
Speaker 2: was at a constant recently and a friend of mine

442
00:22:20,760 --> 00:22:23,840
Speaker 2: his phone was dropped down to like about fifteen percent

443
00:22:23,920 --> 00:22:26,400
Speaker 2: or less than that. And so I've got a battery

444
00:22:26,480 --> 00:22:29,240
Speaker 2: share feature. So at dinner, I flipped my phone over

445
00:22:29,440 --> 00:22:32,160
Speaker 2: and my phone can share my battery power and charge

446
00:22:32,160 --> 00:22:32,760
Speaker 2: his phone.

447
00:22:33,000 --> 00:22:34,280
Speaker 3: So that was kind of cool. We did that for

448
00:22:34,280 --> 00:22:35,520
Speaker 3: a little bit. The Pixel phone does that.

449
00:22:35,560 --> 00:22:37,879
Speaker 2: I'm not sure about other phones that can do that

450
00:22:37,960 --> 00:22:40,200
Speaker 2: as well, but I can share my battery with other people,

451
00:22:40,520 --> 00:22:41,560
Speaker 2: just kind of Can I tell.

452
00:22:41,480 --> 00:22:46,159
Speaker 1: You something funny that is interesting? When it said I

453
00:22:46,320 --> 00:22:50,879
Speaker 1: thought this said this heading Google starts shaming apps. I

454
00:22:50,880 --> 00:22:57,119
Speaker 1: thought that were apps that shamed people. That's how I

455
00:22:57,200 --> 00:23:00,920
Speaker 1: read it. Yeah, yeah, and I thought I'd created these

456
00:23:00,960 --> 00:23:06,320
Speaker 1: apps that shame people and also happen to drain your battery.

457
00:23:06,400 --> 00:23:09,280
Speaker 1: So I'm a fucking idiot, is the take home message.

458
00:23:10,040 --> 00:23:16,320
Speaker 1: Chemistry student develops clear nail polish that turns your fingernail

459
00:23:16,640 --> 00:23:18,679
Speaker 1: into a touchscreen stylust.

460
00:23:19,040 --> 00:23:19,919
Speaker 3: How good is that?

461
00:23:19,920 --> 00:23:23,479
Speaker 2: This is really interesting because I've observed now there's a

462
00:23:23,560 --> 00:23:26,159
Speaker 2: lady who's a receptionist at a company I do some

463
00:23:26,200 --> 00:23:29,080
Speaker 2: work with, and whenever she uses her smartphone, it does

464
00:23:29,119 --> 00:23:31,960
Speaker 2: my head in because she's got really long fingernails. When

465
00:23:31,960 --> 00:23:34,639
Speaker 2: she uses a smartphone, there's this really bizarre way that

466
00:23:34,680 --> 00:23:37,000
Speaker 2: she has to flatten her hand to use the s

467
00:23:37,680 --> 00:23:40,320
Speaker 2: because generally we just kind of broaden punch.

468
00:23:40,200 --> 00:23:41,640
Speaker 1: Souse the nail gets in the way.

469
00:23:41,800 --> 00:23:42,600
Speaker 3: Yeah, yeah, yeah.

470
00:23:42,640 --> 00:23:45,800
Speaker 2: So this student and this I love this that this

471
00:23:45,880 --> 00:23:52,000
Speaker 2: is a student at Centenary College of Louisiana and her

472
00:23:52,080 --> 00:23:55,679
Speaker 2: name is Manside de Sai, and she noticed that it

473
00:23:55,720 --> 00:23:56,399
Speaker 2: was problematic.

474
00:23:56,480 --> 00:23:59,159
Speaker 3: So she is a researcher.

475
00:23:59,640 --> 00:24:02,720
Speaker 2: In the area of I think it was like in

476
00:24:02,800 --> 00:24:07,040
Speaker 2: cosmetic chemistry. So she had the smarts in that area.

477
00:24:07,359 --> 00:24:10,239
Speaker 2: So she's come up with a clear nail polish that

478
00:24:10,520 --> 00:24:14,080
Speaker 2: acts effectively as a styluss once it's coated on the nail,

479
00:24:14,359 --> 00:24:16,639
Speaker 2: it becomes a styluss and it makes it easier for

480
00:24:16,640 --> 00:24:17,639
Speaker 2: you to use on your phone.

481
00:24:17,760 --> 00:24:20,080
Speaker 3: I thought that's awesome. Isn't it a great idea?

482
00:24:21,160 --> 00:24:23,359
Speaker 1: Okay, so I see a couple of issues. So the

483
00:24:23,440 --> 00:24:26,080
Speaker 1: nail keeps growing, right, and then you've got to cut

484
00:24:26,119 --> 00:24:28,159
Speaker 1: the nail or shape the nail. Do you have to

485
00:24:28,240 --> 00:24:30,800
Speaker 1: keep you must have to keep reapplying the stuff.

486
00:24:31,280 --> 00:24:33,439
Speaker 2: Yeah, but I guess if it's just the one finger,

487
00:24:33,600 --> 00:24:36,840
Speaker 2: you know, yeah, that's fine, You're right, Yeah, for sure.

488
00:24:36,680 --> 00:24:38,440
Speaker 3: It's not going to affect for the rest of it.

489
00:24:39,760 --> 00:24:42,560
Speaker 1: Yeah, but I'm just planning for my styluss fingernail.

490
00:24:44,359 --> 00:24:47,479
Speaker 3: See, do do you let your fingernails grow very much?

491
00:24:47,520 --> 00:24:49,159
Speaker 2: Because I get to a point where I have to

492
00:24:49,160 --> 00:24:50,840
Speaker 2: cut them because I used to do a lot of

493
00:24:50,880 --> 00:24:53,320
Speaker 2: rock climbing and these are way too long. I'm just

494
00:24:53,359 --> 00:24:55,359
Speaker 2: noticing the talons at the end of my fingers at

495
00:24:55,400 --> 00:24:55,760
Speaker 2: the moment.

496
00:24:56,240 --> 00:24:59,119
Speaker 1: Well, that's that's creepy. It's funny you ask, because I

497
00:24:59,160 --> 00:25:02,000
Speaker 1: actually have an inch answer. So, as some people know,

498
00:25:02,119 --> 00:25:04,480
Speaker 1: I used to play guitar a lot for a long time,

499
00:25:04,520 --> 00:25:07,240
Speaker 1: but I have not picked up a guitar in ten years.

500
00:25:07,880 --> 00:25:11,600
Speaker 1: And so the other day I took my guitars. I've

501
00:25:11,640 --> 00:25:14,000
Speaker 1: got a few up to the old guitar mechanic and went,

502
00:25:14,080 --> 00:25:16,040
Speaker 1: can you make these or razzle dazz or put some

503
00:25:16,119 --> 00:25:19,280
Speaker 1: new strings on them? Blah blah blah. So a lot

504
00:25:19,280 --> 00:25:22,399
Speaker 1: of guitarists, like people who play a lot. You'll notice

505
00:25:23,080 --> 00:25:25,879
Speaker 1: if they're a normal right handed guitar player, their left

506
00:25:25,960 --> 00:25:29,040
Speaker 1: hand will have no fingernails. Their right hand will have

507
00:25:29,119 --> 00:25:33,359
Speaker 1: long fingernails, so they can pluck. You're right, and so

508
00:25:33,600 --> 00:25:36,320
Speaker 1: right now my right nails are or my right hand

509
00:25:36,400 --> 00:25:38,840
Speaker 1: has got long nails, my left hand has got short nails.

510
00:25:39,280 --> 00:25:41,960
Speaker 1: So that's a weird little bit of trivia that people

511
00:25:41,960 --> 00:25:44,800
Speaker 1: don't need to know. But generally mine is short, tip

512
00:25:44,880 --> 00:25:49,440
Speaker 1: yours short? Sure its functional?

513
00:25:49,960 --> 00:25:52,040
Speaker 4: Yes, because I'm learning guitar harps.

514
00:25:52,480 --> 00:25:55,080
Speaker 1: Yeah, I know, I know you are. My nails down

515
00:25:55,680 --> 00:25:58,520
Speaker 1: the female Tommy Emmanuel, you can maybe let the right

516
00:25:58,800 --> 00:26:03,040
Speaker 1: side grow. Patrick, tell me about the ideal amount of

517
00:26:03,119 --> 00:26:08,800
Speaker 1: coffee allegedly that's going to there seems almost a counterintuitive statement,

518
00:26:09,280 --> 00:26:12,240
Speaker 1: the right amount of coffee to lower stress.

519
00:26:12,480 --> 00:26:16,320
Speaker 2: Yeah, isn't that interesting? This is not just an arbitrary study.

520
00:26:16,359 --> 00:26:18,600
Speaker 2: So the researchers in China, and this is I find

521
00:26:18,680 --> 00:26:22,119
Speaker 2: this interesting because it actually says China. I paid the

522
00:26:22,200 --> 00:26:24,359
Speaker 2: most have ever paid for a cup of coffee in China.

523
00:26:24,480 --> 00:26:28,600
Speaker 2: Was crap because Chinese generally don't drink that much coffee.

524
00:26:28,800 --> 00:26:30,879
Speaker 1: And I'm not not renowned for it.

525
00:26:30,960 --> 00:26:35,639
Speaker 2: No, paid fourteen dollars for a coffee like That's outrageous,

526
00:26:35,680 --> 00:26:35,960
Speaker 2: isn't it?

527
00:26:36,560 --> 00:26:37,399
Speaker 3: And it was terrible.

528
00:26:37,440 --> 00:26:39,359
Speaker 2: It was Yeah, anyway, I should have gone back and

529
00:26:39,359 --> 00:26:43,840
Speaker 2: got more, but any other language barrier. But so, what

530
00:26:43,960 --> 00:26:48,480
Speaker 2: these researchers did at Fudan University in China, they took

531
00:26:48,680 --> 00:26:53,120
Speaker 2: some findings, and it was findings from over four hundred

532
00:26:53,160 --> 00:26:58,400
Speaker 2: and sixty thousand individuals over thirteen point four years. And

533
00:26:58,760 --> 00:27:02,639
Speaker 2: what they did was they looked at the mental health

534
00:27:02,680 --> 00:27:05,560
Speaker 2: at the start of the study and then over that

535
00:27:05,720 --> 00:27:08,560
Speaker 2: span of time they charted how much. It was just

536
00:27:08,600 --> 00:27:11,000
Speaker 2: self reporting, but they said, you know, how much coffee

537
00:27:11,000 --> 00:27:15,120
Speaker 2: do you drink? And they seem that after the number crunching,

538
00:27:16,320 --> 00:27:18,720
Speaker 2: those people who drank two to three cups of coffee

539
00:27:18,760 --> 00:27:23,200
Speaker 2: a day were the least likely to develop mental health

540
00:27:23,240 --> 00:27:26,120
Speaker 2: problems compared to those that didn't drink coffee at all

541
00:27:26,440 --> 00:27:29,399
Speaker 2: or who drank more than three cups. So that sweet

542
00:27:29,440 --> 00:27:32,040
Speaker 2: spot is two to three cups is what they found out.

543
00:27:32,160 --> 00:27:34,359
Speaker 2: Now this again they were looking at other people's research

544
00:27:34,359 --> 00:27:36,399
Speaker 2: and they collated it all. But it seems like, you know,

545
00:27:36,440 --> 00:27:39,119
Speaker 2: nearly half a million people over such a long amount

546
00:27:39,160 --> 00:27:43,120
Speaker 2: of time, and that's conclusions that they drew from that,

547
00:27:43,400 --> 00:27:45,639
Speaker 2: you know, that number crunching of that data.

548
00:27:46,240 --> 00:27:48,560
Speaker 1: That's interesting. One thing I would want to know is

549
00:27:48,560 --> 00:27:51,600
Speaker 1: how many milligrams of caffeine per cup, because that can

550
00:27:51,680 --> 00:27:54,359
Speaker 1: vary from forty into one hundred and forty to like

551
00:27:54,440 --> 00:27:59,320
Speaker 1: one hundred. So but yeah, it's I don't know. I

552
00:27:59,480 --> 00:28:03,480
Speaker 1: think moderate caffeine intake for me, and it is not

553
00:28:03,560 --> 00:28:08,120
Speaker 1: medical advice everyone, but for me, definitely better, Like it's

554
00:28:08,160 --> 00:28:10,720
Speaker 1: a kind of a good stimulant, not a crazy, out

555
00:28:10,720 --> 00:28:14,560
Speaker 1: of control stimulant. Definitely an improved cognitive performance for me,

556
00:28:15,119 --> 00:28:18,760
Speaker 1: attention focus for a period of time. And also just

557
00:28:18,920 --> 00:28:21,280
Speaker 1: I like my little morning ritual Patrick.

558
00:28:21,240 --> 00:28:23,560
Speaker 2: Yeah, me too, I mate, I mean I was running,

559
00:28:23,920 --> 00:28:26,520
Speaker 2: I wasn't actually running late this morning, but I had

560
00:28:26,520 --> 00:28:28,159
Speaker 2: a shower, I got ready because I've got to go

561
00:28:28,160 --> 00:28:30,280
Speaker 2: into Melbourne on the train on the chu Chuo.

562
00:28:31,480 --> 00:28:33,080
Speaker 3: I can't believe just said that. Can you cut that

563
00:28:33,119 --> 00:28:34,560
Speaker 3: out to anyway? I love it.

564
00:28:34,640 --> 00:28:39,440
Speaker 1: The chuo choo that you do. Did you do yeah?

565
00:28:41,080 --> 00:28:42,959
Speaker 3: Did you chose a direction?

566
00:28:43,160 --> 00:28:43,360
Speaker 1: Yeah?

567
00:28:43,480 --> 00:28:43,640
Speaker 3: Nah?

568
00:28:43,800 --> 00:28:47,520
Speaker 1: Fuck that. Let's know, let's leave that all in yep,

569
00:28:47,600 --> 00:28:49,600
Speaker 1: go on. So what's your coffee ritual?

570
00:28:50,240 --> 00:28:52,000
Speaker 2: Well, this morning I had to have a coffee before

571
00:28:52,040 --> 00:28:53,520
Speaker 2: I came in, and you're probably not going to be

572
00:28:53,760 --> 00:28:55,160
Speaker 2: you might be able to see it. It's a really

573
00:28:55,200 --> 00:28:56,760
Speaker 2: cute mug that I've got. Can you see that?

574
00:28:56,960 --> 00:28:57,280
Speaker 1: Yeah?

575
00:28:57,360 --> 00:29:01,720
Speaker 3: Yeah, yeah, yeah, loved by a schnauzer, loved by someone gave.

576
00:29:01,920 --> 00:29:05,400
Speaker 1: You've obviously heard Dame Edner's or watched the video about

577
00:29:06,160 --> 00:29:09,560
Speaker 1: if have you ever seen Dame Edner talking about his

578
00:29:09,640 --> 00:29:17,720
Speaker 1: wife schnauzer? Yes, viewers, Viewers, you probably if you haven't, viewers, listeners,

579
00:29:17,800 --> 00:29:21,200
Speaker 1: if you haven't seen that, just Dame Edner. It's on

580
00:29:21,600 --> 00:29:23,800
Speaker 1: Park Parkinson.

581
00:29:23,640 --> 00:29:25,640
Speaker 3: Liz Patterson. It was Liz Patterson.

582
00:29:26,080 --> 00:29:31,840
Speaker 1: Oh yeah, that's right, sorry, Les Patterson. Exactly right. Yeah,

583
00:29:32,080 --> 00:29:38,880
Speaker 1: very very funny. New psychology research reveals the cognitive cost

584
00:29:39,240 --> 00:29:42,360
Speaker 1: of smartphone notifications. Oh this is see.

585
00:29:42,360 --> 00:29:44,800
Speaker 2: This is an interesting one because we talk about the

586
00:29:44,840 --> 00:29:48,520
Speaker 2: impact of using your phones and being distracted by technology,

587
00:29:48,920 --> 00:29:52,160
Speaker 2: and it seems that it's not how long you spend

588
00:29:52,160 --> 00:29:55,640
Speaker 2: on the device. It's how often you're distracted by the device,

589
00:29:55,760 --> 00:29:58,760
Speaker 2: is what this particular study. So this was a study

590
00:29:58,880 --> 00:30:02,440
Speaker 2: in computers and human behavior, and what they looked at

591
00:30:02,560 --> 00:30:06,040
Speaker 2: is how your concentration gets broken by notifications. So one

592
00:30:06,040 --> 00:30:08,240
Speaker 2: of the things I realized many many, many years ago

593
00:30:08,600 --> 00:30:12,040
Speaker 2: was that every time I was using my computer and

594
00:30:12,160 --> 00:30:15,560
Speaker 2: Outlook was checking for emails, I'd get a ping and

595
00:30:15,840 --> 00:30:18,280
Speaker 2: that would be distracting because the first thing that you

596
00:30:18,320 --> 00:30:20,120
Speaker 2: do when you hear the ping is you rush to

597
00:30:20,120 --> 00:30:22,480
Speaker 2: your inbox to see it might be a new email.

598
00:30:22,480 --> 00:30:25,160
Speaker 2: It's that kind of reward, you know, the ping is

599
00:30:25,280 --> 00:30:27,400
Speaker 2: the notification. The reward is to see if there's a

600
00:30:27,440 --> 00:30:32,320
Speaker 2: new email. So I turn off my Outlooks ability to

601
00:30:32,440 --> 00:30:35,680
Speaker 2: check for emails so that only I choose when I

602
00:30:35,720 --> 00:30:38,360
Speaker 2: want to check for emails. So I kind of take

603
00:30:38,400 --> 00:30:40,880
Speaker 2: it away from there and I'm not distracted. But smartphones

604
00:30:40,920 --> 00:30:43,600
Speaker 2: do this all the time when you look at your notifications.

605
00:30:43,920 --> 00:30:46,640
Speaker 2: You know, I always turn notifications off when I'm teaching

606
00:30:46,760 --> 00:30:48,440
Speaker 2: or I'm going to be in a meeting. One of

607
00:30:48,520 --> 00:30:51,200
Speaker 2: the loveliest features, my favorite feature of my phone, my

608
00:30:51,240 --> 00:30:53,800
Speaker 2: pixel is I like that when you turn it upside down,

609
00:30:54,160 --> 00:30:56,320
Speaker 2: it goes into do not disturb mode, and I find

610
00:30:56,360 --> 00:30:58,200
Speaker 2: that when I go into a meeting or I'm talking

611
00:30:58,280 --> 00:31:01,200
Speaker 2: to someone, putting your phone fail down is also a

612
00:31:01,360 --> 00:31:04,200
Speaker 2: very visual queue that I want to talk to you

613
00:31:04,400 --> 00:31:06,640
Speaker 2: and not be distracted by my phone. I think that

614
00:31:06,760 --> 00:31:10,480
Speaker 2: says sends a clear message when you're somebody, because there's

615
00:31:10,480 --> 00:31:13,240
Speaker 2: nothing worse than having a conversation and the person picks

616
00:31:13,320 --> 00:31:15,640
Speaker 2: up the phone and you think, are you talking to

617
00:31:15,680 --> 00:31:17,280
Speaker 2: me or are you're looking at your phone? And I

618
00:31:17,360 --> 00:31:20,320
Speaker 2: know people who are like that mid conversation will start

619
00:31:20,360 --> 00:31:23,120
Speaker 2: looking at their phone. So it makes a lot of

620
00:31:23,160 --> 00:31:26,360
Speaker 2: sense when it comes to being distracted. You think about

621
00:31:26,360 --> 00:31:28,680
Speaker 2: all the different ways you're distracted during the day. Tip

622
00:31:29,000 --> 00:31:32,320
Speaker 2: do you have notifications on what pings on your phone?

623
00:31:32,360 --> 00:31:33,960
Speaker 2: What you know, what's your computer doing?

624
00:31:35,360 --> 00:31:38,960
Speaker 1: It's not a fair question because she's got ADHD. Yeah.

625
00:31:39,080 --> 00:31:43,040
Speaker 5: I turned all my notifications off and very few of

626
00:31:43,080 --> 00:31:44,240
Speaker 5: them will show the.

627
00:31:44,160 --> 00:31:46,280
Speaker 4: Red dots, and I hide things.

628
00:31:46,360 --> 00:31:49,520
Speaker 5: But I'm still stupidly addicted to still pick it up,

629
00:31:49,640 --> 00:31:51,840
Speaker 5: pick it up all the time. Check I'll pick it

630
00:31:51,960 --> 00:31:54,960
Speaker 5: up for one thing, and I opened four other apps first,

631
00:31:55,000 --> 00:31:56,800
Speaker 5: and then I forget what I picked it up to do.

632
00:31:57,440 --> 00:31:59,600
Speaker 3: It was a landmark court case recently, Tiff that you

633
00:31:59,640 --> 00:32:01,160
Speaker 3: may be with the leaving readjob.

634
00:32:03,280 --> 00:32:04,120
Speaker 4: We're thinking about it.

635
00:32:04,480 --> 00:32:08,960
Speaker 2: You can retire six million US. Holy crap, that's worth

636
00:32:08,960 --> 00:32:09,800
Speaker 2: the case, isn't it?

637
00:32:11,480 --> 00:32:13,920
Speaker 4: No mate, I'm on big bucks at type. That's not

638
00:32:14,000 --> 00:32:14,520
Speaker 4: worth it for me.

639
00:32:14,720 --> 00:32:18,080
Speaker 2: We do in fact, Craig Didy double my, would I

640
00:32:18,080 --> 00:32:19,360
Speaker 2: get for the Joe this year?

641
00:32:22,880 --> 00:32:27,120
Speaker 1: You're too okay now you go? Yeah, fucking idiots. That's

642
00:32:27,160 --> 00:32:29,280
Speaker 1: what I had before the start of the show. Everyone,

643
00:32:30,080 --> 00:32:32,880
Speaker 1: I expect me to pay them. Get good and we

644
00:32:32,960 --> 00:32:37,800
Speaker 1: might talk about it. AI software for smart glasses wins

645
00:32:37,840 --> 00:32:41,960
Speaker 1: a million dollar or a million pound prize for technology

646
00:32:42,080 --> 00:32:44,840
Speaker 1: to help people with dementia. I might have to get

647
00:32:44,840 --> 00:32:47,080
Speaker 1: some for some people that I know quite closely.

648
00:32:47,760 --> 00:32:50,840
Speaker 2: This is interesting because you know, there's lots of talk

649
00:32:50,920 --> 00:32:54,040
Speaker 2: around smart glasses and the use and applications, and there's

650
00:32:54,120 --> 00:32:57,960
Speaker 2: the centers in one sense that call them glassholes because

651
00:32:58,000 --> 00:33:00,600
Speaker 2: they can film things when you're not sure about. But

652
00:33:00,680 --> 00:33:03,040
Speaker 2: this is actually a really interesting one and it kind

653
00:33:03,080 --> 00:33:05,880
Speaker 2: of comes to heart to me because Mum had dementia

654
00:33:06,320 --> 00:33:09,640
Speaker 2: and what they're talking about is embedding AI software into

655
00:33:09,680 --> 00:33:13,920
Speaker 2: smart glasses so that people wearing them can be prompted

656
00:33:14,440 --> 00:33:18,320
Speaker 2: whilst with verbal cues, and that's really good. So think

657
00:33:18,360 --> 00:33:20,040
Speaker 2: about maybe, you know one of the things that happened

658
00:33:20,040 --> 00:33:22,920
Speaker 2: with mum. Dad still worked and Mum was at home,

659
00:33:23,480 --> 00:33:25,680
Speaker 2: and if there were a few times where there was

660
00:33:25,720 --> 00:33:27,840
Speaker 2: one instance where Mum turned the burner on on the

661
00:33:27,880 --> 00:33:30,920
Speaker 2: stove and put the plastic kettle on the electric kettle.

662
00:33:31,480 --> 00:33:36,360
Speaker 2: Oh yeah, and that's the reality of how dementia can work.

663
00:33:36,400 --> 00:33:40,000
Speaker 2: And you know, keeping people at home safe is really important.

664
00:33:40,320 --> 00:33:43,360
Speaker 2: So potentially the smart glasses could be monitoring what's happening

665
00:33:43,400 --> 00:33:45,400
Speaker 2: on a day to day basis and if you went

666
00:33:45,440 --> 00:33:48,080
Speaker 2: to you know, if you could imagine then turn the

667
00:33:48,120 --> 00:33:52,360
Speaker 2: gas off, if those prompts were being able to be

668
00:33:52,440 --> 00:33:55,120
Speaker 2: given to the person with dementia, it could make their

669
00:33:55,160 --> 00:33:58,320
Speaker 2: life so much safer. So there's no there's no surprise

670
00:33:58,400 --> 00:34:00,960
Speaker 2: that they've won a one million pound fries.

671
00:34:00,720 --> 00:34:02,320
Speaker 3: To further develop this.

672
00:34:02,440 --> 00:34:06,600
Speaker 2: So it's called cross Sense and but quickly you wear

673
00:34:06,640 --> 00:34:10,040
Speaker 2: it and it's a chatty assistant. It's called Wispy and yeah,

674
00:34:10,120 --> 00:34:13,120
Speaker 2: it's able to give you prompts and feedback during tasks,

675
00:34:13,120 --> 00:34:16,320
Speaker 2: so verbal cues and now you can even have text

676
00:34:16,360 --> 00:34:18,839
Speaker 2: floating in front of your eyes and you can ask

677
00:34:18,920 --> 00:34:21,879
Speaker 2: questions to it, you know, and engage in conversation. So

678
00:34:22,160 --> 00:34:25,480
Speaker 2: even the loneliness factor of somebody suffering from dementia, they

679
00:34:25,480 --> 00:34:27,280
Speaker 2: may be able to combat that as well.

680
00:34:27,440 --> 00:34:29,960
Speaker 3: I think it's awesome. This is really exciting stuff.

681
00:34:31,239 --> 00:34:34,200
Speaker 1: Yeah, I think one of the I think that's brilliant too.

682
00:34:34,560 --> 00:34:38,759
Speaker 1: One of the challenges is like my mum's you know,

683
00:34:39,080 --> 00:34:41,359
Speaker 1: she's in that space and she's eighty six and she's

684
00:34:41,400 --> 00:34:45,040
Speaker 1: had an iPhone for like that I buy every few

685
00:34:45,120 --> 00:34:48,360
Speaker 1: years a new one, like for the last ten years,

686
00:34:49,200 --> 00:34:51,920
Speaker 1: and she still doesn't know how to use an iPhone,

687
00:34:52,440 --> 00:34:54,600
Speaker 1: like and she taps it with her finger and I

688
00:34:54,800 --> 00:34:58,200
Speaker 1: like a fucking woodpecker. I'm like, Mum, you know, just

689
00:34:58,200 --> 00:35:02,320
Speaker 1: just put your index on, you know, just use your finger,

690
00:35:02,440 --> 00:35:05,040
Speaker 1: not your nail. And it's like if she comes the

691
00:35:05,200 --> 00:35:08,200
Speaker 1: higher she comes from, like if it doesn't work, then

692
00:35:08,239 --> 00:35:12,040
Speaker 1: she taps it harder, you know, Like it's like force

693
00:35:12,360 --> 00:35:14,040
Speaker 1: is going to make I don't know, like it's.

694
00:35:13,920 --> 00:35:15,840
Speaker 3: A capable as you can buy now that.

695
00:35:16,080 --> 00:35:18,480
Speaker 1: Yeah, let's get that. Let's get some of that for her.

696
00:35:20,320 --> 00:35:24,239
Speaker 1: I wanted to talk about this one because I and

697
00:35:24,440 --> 00:35:28,399
Speaker 1: I wear headphones all the time when I'm about has

698
00:35:28,440 --> 00:35:32,640
Speaker 1: it as substances found in all headphones, Oh my goodness,

699
00:35:32,800 --> 00:35:35,600
Speaker 1: tested by the tox Free Project.

700
00:35:36,200 --> 00:35:38,239
Speaker 2: So this was an article in The Guardian a few

701
00:35:38,280 --> 00:35:41,320
Speaker 2: weeks ago, and it really kind of frightened me a

702
00:35:41,360 --> 00:35:45,080
Speaker 2: little bit because I do wear headphones all day long.

703
00:35:45,520 --> 00:35:48,319
Speaker 2: I have in my office and they sit on they

704
00:35:48,360 --> 00:35:50,360
Speaker 2: literally sit on me all the time. But that means

705
00:35:50,440 --> 00:35:54,359
Speaker 2: that that plastic is sitting against my skin and so

706
00:35:54,400 --> 00:35:58,440
Speaker 2: it heats up and it cools down. And so this organization,

707
00:35:58,640 --> 00:36:02,640
Speaker 2: this tox Free Pronchi, is looking at what actually happens

708
00:36:02,960 --> 00:36:05,560
Speaker 2: when we come into contact with plastics. And I know

709
00:36:05,600 --> 00:36:09,560
Speaker 2: plastics are the whole new Achilles Heel of the human

710
00:36:09,680 --> 00:36:12,600
Speaker 2: race at the moment, and it's frightening to think that,

711
00:36:12,800 --> 00:36:15,160
Speaker 2: you know, I mean, how long has plastics been around

712
00:36:15,200 --> 00:36:18,239
Speaker 2: for It's a petroleum product, that's you know, and it's

713
00:36:18,320 --> 00:36:21,319
Speaker 2: in everything. But now they're saying that even the top

714
00:36:21,400 --> 00:36:24,080
Speaker 2: level brands. This is what the report said in the Guardian,

715
00:36:24,160 --> 00:36:28,040
Speaker 2: bows Panasonic, Samsung, sen Hi. So we're found to contain

716
00:36:28,120 --> 00:36:31,560
Speaker 2: harmful chemicals because of the way the plastics are made.

717
00:36:31,600 --> 00:36:34,840
Speaker 2: So the formula of the plastics which they're actually made of,

718
00:36:34,880 --> 00:36:38,439
Speaker 2: and there's nothing regulating what sort of plastic is being

719
00:36:38,560 --> 00:36:42,360
Speaker 2: used in manufacturing, so there is somewhat they call not

720
00:36:42,480 --> 00:36:44,640
Speaker 2: medical grade, I think they call they call it medical

721
00:36:44,680 --> 00:36:48,120
Speaker 2: grade plastics. So they're designed to be used in medical

722
00:36:48,160 --> 00:36:52,719
Speaker 2: products or they're safe safer to use, so whether it's

723
00:36:52,719 --> 00:36:55,440
Speaker 2: being used in a microwave or being used to store food.

724
00:36:55,800 --> 00:36:58,319
Speaker 2: But that's not necessarily the case with headphones. And this

725
00:36:58,360 --> 00:37:01,520
Speaker 2: is where the industry is now home under scrutiny because

726
00:37:01,840 --> 00:37:05,239
Speaker 2: these plastics are in contact with us constantly, and that's

727
00:37:05,280 --> 00:37:07,839
Speaker 2: the concern because we've got them in our ears, we've

728
00:37:07,840 --> 00:37:08,320
Speaker 2: got them.

729
00:37:08,239 --> 00:37:11,600
Speaker 3: Vibrating against our jaws or whatever, or over ear headphones.

730
00:37:12,000 --> 00:37:14,560
Speaker 2: And now they're kind of saying, well, there's no immediate

731
00:37:14,680 --> 00:37:16,839
Speaker 2: health risk, but what they're concerned about is the long

732
00:37:16,920 --> 00:37:20,239
Speaker 2: term exposure. So don't throw away your headphones now. But

733
00:37:20,400 --> 00:37:23,879
Speaker 2: they talk again about vulnerable group groups like teenagers, as

734
00:37:24,000 --> 00:37:27,640
Speaker 2: children are growing, what are the impacts of having chemicals

735
00:37:27,760 --> 00:37:31,279
Speaker 2: like coming out of these plastics that potentially could be

736
00:37:31,320 --> 00:37:35,200
Speaker 2: influencing because they're even talking about affecting young males, and

737
00:37:36,400 --> 00:37:41,239
Speaker 2: with some of the plastics mimic hormones as well, so

738
00:37:41,280 --> 00:37:44,120
Speaker 2: they have the same effect that hormones do on young

739
00:37:44,200 --> 00:37:45,120
Speaker 2: forming bodies here.

740
00:37:45,800 --> 00:37:49,640
Speaker 1: Yeah, well they're called end to crime disruptors, and you're

741
00:37:49,680 --> 00:37:52,160
Speaker 1: exactly right. So, and what we know is the softer

742
00:37:52,280 --> 00:37:56,600
Speaker 1: the plastic, the worse because it's more permeable. And so

743
00:37:56,640 --> 00:37:58,960
Speaker 1: you get a bottle of water, you leave it in

744
00:37:59,000 --> 00:38:03,080
Speaker 1: your car and it's day. You should absolutely not drink

745
00:38:03,120 --> 00:38:07,720
Speaker 1: that absolutely also somewhat distressing for most of our audience

746
00:38:07,760 --> 00:38:11,280
Speaker 1: that I'm about to share with. Think about a warm

747
00:38:11,520 --> 00:38:14,759
Speaker 1: or a hot coffee, or worse, a black coffee in

748
00:38:14,800 --> 00:38:18,160
Speaker 1: a takeaway cup with a plastic lid. You put your

749
00:38:18,200 --> 00:38:21,800
Speaker 1: lips on the plastic, and then you have this heated

750
00:38:21,840 --> 00:38:26,320
Speaker 1: liquid coming through the plastic into your mouth. I think,

751
00:38:26,800 --> 00:38:29,120
Speaker 1: and I've never heard this theory, this is mine, maybe

752
00:38:29,160 --> 00:38:31,719
Speaker 1: somebody else came up with it. I think we're going

753
00:38:31,760 --> 00:38:34,120
Speaker 1: to find out that's a big fucking problem down the

754
00:38:34,160 --> 00:38:39,000
Speaker 1: track because you've literally got this stuff that can permeate

755
00:38:39,440 --> 00:38:42,640
Speaker 1: a that's a very vulnerable type of plastic that and

756
00:38:42,719 --> 00:38:47,399
Speaker 1: we're drinking through that plastic. That's a pretty easy entry

757
00:38:47,400 --> 00:38:51,400
Speaker 1: system into your physiology. So either drink out of a

758
00:38:51,480 --> 00:38:55,320
Speaker 1: mug like a ceramic mug or whatever is my advice,

759
00:38:56,000 --> 00:38:59,960
Speaker 1: or get yourself a steal keep cup.

760
00:39:00,760 --> 00:39:02,640
Speaker 2: Now that's interesting you say that though, because I've got

761
00:39:02,640 --> 00:39:04,920
Speaker 2: a glass keep cup and we thought, oh yeah, glass

762
00:39:04,960 --> 00:39:05,359
Speaker 2: keep cup.

763
00:39:05,360 --> 00:39:08,920
Speaker 3: That's a bit of option. But the lead is still plastic.

764
00:39:08,840 --> 00:39:11,280
Speaker 1: That's right, and that that is an issue.

765
00:39:11,520 --> 00:39:13,680
Speaker 3: That's a more plastic though, isn't it.

766
00:39:13,680 --> 00:39:16,440
Speaker 1: It's that's very very hard. I've got the same I've

767
00:39:16,440 --> 00:39:20,080
Speaker 1: got a steel keep cup and the lid is like

768
00:39:21,160 --> 00:39:25,400
Speaker 1: steel plastic. It's still I'm not, I'm not. It's great,

769
00:39:25,800 --> 00:39:27,680
Speaker 1: but I will often take the lid off anywhere and

770
00:39:27,760 --> 00:39:30,400
Speaker 1: just drink out of the you know, like unless you

771
00:39:30,440 --> 00:39:32,520
Speaker 1: need it to be hot for ouse. We've got to

772
00:39:32,760 --> 00:39:34,960
Speaker 1: wind up very quickly because we've all got to get

773
00:39:35,000 --> 00:39:37,359
Speaker 1: out early. Is today, let's do one more tell us

774
00:39:37,400 --> 00:39:41,640
Speaker 1: about mini brains replacing lab animals. I do not even

775
00:39:41,680 --> 00:39:42,720
Speaker 1: know what that means.

776
00:39:43,320 --> 00:39:45,760
Speaker 3: Oh, this is yeah what I love it being a vegan.

777
00:39:46,560 --> 00:39:49,239
Speaker 2: You. I finally introduced it into the conversation and there

778
00:39:49,320 --> 00:39:51,840
Speaker 2: was a bit of seguey there, no, what the idea

779
00:39:51,960 --> 00:39:55,160
Speaker 2: is that they're now lab growing cells.

780
00:39:56,080 --> 00:39:58,440
Speaker 3: That's tickled fancy there by the.

781
00:39:58,360 --> 00:40:01,000
Speaker 4: Way look on that his face is.

782
00:40:01,040 --> 00:40:03,440
Speaker 3: Just it is.

783
00:40:03,640 --> 00:40:06,840
Speaker 2: I wish we could if you show this to our listeners,

784
00:40:06,920 --> 00:40:09,839
Speaker 2: because you know he does get that. Look, wait a minute,

785
00:40:09,880 --> 00:40:11,520
Speaker 2: he's going to pick up his shabby now and wipe

786
00:40:11,520 --> 00:40:11,879
Speaker 2: his face.

787
00:40:11,880 --> 00:40:14,120
Speaker 4: I think you just swap into his smart glasses so he.

788
00:40:15,960 --> 00:40:17,880
Speaker 3: May put him at the start of the show.

789
00:40:18,680 --> 00:40:21,760
Speaker 1: See what I mean? Everyone, what I mean bullying? Bullying?

790
00:40:21,800 --> 00:40:26,279
Speaker 1: It's subversive, it seems low level, and they gang up

791
00:40:26,320 --> 00:40:29,560
Speaker 1: on me like that all the time. Yeah, the comments

792
00:40:29,600 --> 00:40:32,440
Speaker 1: are going to be boo fucking who harps? And then

793
00:40:32,520 --> 00:40:34,000
Speaker 1: that makes you a bully as well?

794
00:40:34,480 --> 00:40:39,640
Speaker 3: That boo who harps?

795
00:40:40,000 --> 00:40:42,720
Speaker 1: Is that the title of the episode. Yeah, boo boo,

796
00:40:43,320 --> 00:40:47,799
Speaker 1: poor poor fragile jumbo. I'll survive, all right, tell us

797
00:40:47,840 --> 00:40:48,120
Speaker 1: come on.

798
00:40:49,440 --> 00:40:52,919
Speaker 2: So obviously, mice and rats and pigs have often been

799
00:40:53,040 --> 00:40:56,919
Speaker 2: used as the animals for bio research. Now we can

800
00:40:57,000 --> 00:41:00,239
Speaker 2: culture and we're talking two hundred million animals used in

801
00:41:00,320 --> 00:41:04,160
Speaker 2: labs every year, and if we can combat that. And

802
00:41:04,400 --> 00:41:07,200
Speaker 2: the thing is, you know, we've cured cancer and so

803
00:41:07,239 --> 00:41:11,880
Speaker 2: many different mice, but is pothetically identical to us. So

804
00:41:11,920 --> 00:41:14,719
Speaker 2: the reality of it is, even though we're using animals

805
00:41:14,719 --> 00:41:17,680
Speaker 2: that are very similar to us genetically, they're not identical

806
00:41:17,719 --> 00:41:21,200
Speaker 2: to us. So if we can culture stem cells that

807
00:41:21,239 --> 00:41:23,920
Speaker 2: then grow into say a brain culture, and then we

808
00:41:24,080 --> 00:41:27,399
Speaker 2: use that for study and research that has a lot

809
00:41:27,440 --> 00:41:30,840
Speaker 2: of merit because they're human brain cells, not a pig

810
00:41:31,160 --> 00:41:34,400
Speaker 2: or a chicken or whatever it is using. So it

811
00:41:34,480 --> 00:41:37,239
Speaker 2: has this double benefit, one being that you know, two

812
00:41:37,320 --> 00:41:40,879
Speaker 2: hundred million animals may not necessarily have to be experimented on,

813
00:41:41,360 --> 00:41:46,520
Speaker 2: and we're closely aligning whatever we're researching with what's genetically

814
00:41:46,600 --> 00:41:47,600
Speaker 2: much closer to us.

815
00:41:49,600 --> 00:41:52,360
Speaker 1: Well, that's good. That's good for a range of reasons.

816
00:41:52,600 --> 00:41:53,480
Speaker 3: The win win, isn't it?

817
00:41:53,800 --> 00:41:54,000
Speaker 4: Oh?

818
00:41:54,040 --> 00:41:58,359
Speaker 1: It certainly is? Patrick. Where can people find you and

819
00:41:59,320 --> 00:42:02,280
Speaker 1: you know, come and see you and employ your.

820
00:42:02,160 --> 00:42:06,920
Speaker 2: Services websites noow dot com dot au and if you

821
00:42:07,000 --> 00:42:09,320
Speaker 2: have anything you want us to talk about. If you

822
00:42:09,360 --> 00:42:12,359
Speaker 2: think we should be bullying Craig regularly on the show,

823
00:42:12,400 --> 00:42:14,799
Speaker 2: please feel free to contact me and I will pass

824
00:42:14,840 --> 00:42:15,040
Speaker 2: it on.

825
00:42:16,000 --> 00:42:19,200
Speaker 1: I will accept it. I will take it now because

826
00:42:19,320 --> 00:42:22,799
Speaker 1: it's all about getting uncomfortable. It's okay, I'm okay with it.

827
00:42:23,400 --> 00:42:27,000
Speaker 1: You're bullying equals my resilience, So have at it. You

828
00:42:27,120 --> 00:42:30,800
Speaker 1: just you just let lose you too and bully TIF.

829
00:42:30,840 --> 00:42:32,400
Speaker 1: What have you got to say for yourself?

830
00:42:33,360 --> 00:42:33,680
Speaker 4: Nothing?

831
00:42:33,719 --> 00:42:34,000
Speaker 1: For me?

832
00:42:34,080 --> 00:42:37,279
Speaker 5: I think you're fabulous in your floating today and it's

833
00:42:37,280 --> 00:42:37,920
Speaker 5: been a pleasure.

834
00:42:38,400 --> 00:42:40,239
Speaker 1: So you don't try and you can't wind it back.

835
00:42:40,280 --> 00:42:44,080
Speaker 1: Now what's done is done, and don't worry. It's it's

836
00:42:44,200 --> 00:42:47,640
Speaker 1: locked away in the fucking cognitive vault. So don't you

837
00:42:47,680 --> 00:42:52,160
Speaker 1: come to me for any favors. Ah, we're just gagging.

838
00:42:52,200 --> 00:42:54,839
Speaker 1: We love each other everyone, so don't think, oh my god,

839
00:42:54,880 --> 00:42:57,480
Speaker 1: there actually is a if there's no fucking riff. I

840
00:42:57,560 --> 00:42:59,399
Speaker 1: always say to people, if I pick on you, I

841
00:42:59,400 --> 00:43:04,120
Speaker 1: love you. So if I don't pick on you, oh.

842
00:43:03,600 --> 00:43:06,960
Speaker 3: Sorry, can I just tell you a quick quit thing?

843
00:43:06,960 --> 00:43:09,319
Speaker 3: I know we shouldn't do this. Ah, when I was

844
00:43:09,320 --> 00:43:09,920
Speaker 3: in Italy.

845
00:43:10,600 --> 00:43:13,080
Speaker 1: Fucker now, it's like you know, when you've said good

846
00:43:13,160 --> 00:43:15,799
Speaker 1: night to your mum and she still keeps talking on

847
00:43:15,840 --> 00:43:19,319
Speaker 1: the phone night and you're not fucking getting.

848
00:43:19,280 --> 00:43:20,080
Speaker 3: So we're gon.

849
00:43:20,400 --> 00:43:23,759
Speaker 2: We're on a golf buggy tour of Rome, right, so

850
00:43:23,880 --> 00:43:25,560
Speaker 2: three of us in the back of these little cabs

851
00:43:25,560 --> 00:43:27,760
Speaker 2: at the back of this thing. Anyway, we're twenty minutes

852
00:43:27,760 --> 00:43:29,920
Speaker 2: into the tour and the tour guy turns around and says,

853
00:43:30,120 --> 00:43:32,919
Speaker 2: you guys must be really good friends because you keep

854
00:43:32,960 --> 00:43:33,919
Speaker 2: giving each other shit.

855
00:43:34,520 --> 00:43:36,400
Speaker 3: It's like, because that's what I do with my friends.

856
00:43:36,440 --> 00:43:38,799
Speaker 2: And it's true, isn't it When we rip each other

857
00:43:38,920 --> 00:43:40,799
Speaker 2: and do all that, we don't really make it because

858
00:43:40,840 --> 00:43:41,399
Speaker 2: we love you.

859
00:43:41,560 --> 00:43:43,120
Speaker 1: Do you know who's not as good at it?

860
00:43:43,760 --> 00:43:43,880
Speaker 3: Who?

861
00:43:44,680 --> 00:43:49,600
Speaker 1: Ladies? Ladies? Ladies like a lady.

862
00:43:49,760 --> 00:43:51,880
Speaker 4: And then I realized you weren't talking about me, as

863
00:43:51,920 --> 00:43:52,600
Speaker 4: I'm old lady.

864
00:43:52,760 --> 00:43:55,520
Speaker 1: No, no, lady, Well you know that you've said that,

865
00:43:55,840 --> 00:43:58,000
Speaker 1: But what about you know, Diane comes up in a

866
00:43:58,040 --> 00:44:02,560
Speaker 1: new Frock and Gail goes, that is fucking horrible, Like,

867
00:44:02,680 --> 00:44:05,919
Speaker 1: what did someone pay you? Is this a bet? What's

868
00:44:05,920 --> 00:44:06,560
Speaker 1: going on with that?

869
00:44:07,080 --> 00:44:07,120
Speaker 2: No?

870
00:44:07,600 --> 00:44:11,799
Speaker 1: Because ladies are more I guess, caring and empathetic, and

871
00:44:12,360 --> 00:44:15,040
Speaker 1: they'll lie their asses off to make someone feel good.

872
00:44:15,760 --> 00:44:18,040
Speaker 1: Am I right? You're not like if you think that

873
00:44:18,080 --> 00:44:20,960
Speaker 1: something's fucking horrible, you're a lady of friends, you know,

874
00:44:22,000 --> 00:44:24,399
Speaker 1: I don't. I think some women would go I would

875
00:44:24,400 --> 00:44:27,480
Speaker 1: tell them. I don't know though in the real world, ladies,

876
00:44:27,600 --> 00:44:29,960
Speaker 1: let me know. Am I wrong or right? Go to

877
00:44:30,000 --> 00:44:33,239
Speaker 1: the Facebook page? I think because you want to make

878
00:44:33,280 --> 00:44:35,719
Speaker 1: people feel good, so you'll tell, as Mary would say,

879
00:44:35,719 --> 00:44:38,160
Speaker 1: a little white lie, a little white lie, because you

880
00:44:38,160 --> 00:44:43,080
Speaker 1: don't want to hurt people's feelings. See, but blokes We're like, nah,

881
00:44:43,120 --> 00:44:50,080
Speaker 1: fuck you, you look like a bag of shit. All right,

882
00:44:50,480 --> 00:44:53,400
Speaker 1: great story, great ad, by the way, fucking hell that'll

883
00:44:53,440 --> 00:44:56,360
Speaker 1: go down. Then in the fucking the trophy cabinet of

884
00:44:56,400 --> 00:44:57,560
Speaker 1: typ do you.

885
00:44:57,480 --> 00:45:00,400
Speaker 2: Reckon anyone's even listening, because we already kind of signed off.

886
00:45:01,520 --> 00:45:04,839
Speaker 3: See you guys, see Craig, see t Bye.