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Speaker 1: I'll get a champs. It's Harps, it's Jodie, it's Tiff,

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Speaker 1: it's us, it's the bloody project that you. It's twelve.

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Speaker 1: It looks with his dodger. I probably should check the

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Speaker 1: time before I get on the show. Twelve twenty one

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Speaker 1: pm in thriving metropolis of Melbourne with zero degrees this

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Speaker 1: morning in Melbourne zero, but it's rocketed up to fucking

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Speaker 1: not much more. And I walked outside before my testicles

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Speaker 1: climbed back up into my body cavity. I haven't seen

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Speaker 1: them yet. I hope by about three pm they'll re emerge,

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Speaker 1: because fuck, I don't know. I don't need them, I guess,

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Speaker 1: but it just makes me a little kind of what's

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Speaker 1: the word scared when I can't see them? But anytime

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Speaker 1: now see you. Two girls don't need to deal with

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Speaker 1: shit like that. TIFF's lost it, Jody's lost it. Jody's

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Speaker 1: got blue teeth. By the way, I'll just fill you

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Speaker 1: in on everything I can see. And Tiff sent me

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Speaker 1: a message about ten minutes ago to say, hey, you

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Speaker 1: made a typo in a post that I put up

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Speaker 1: thirty six hours ago. And then I proceeded to bitch

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Speaker 1: about things I shouldn't bitch about, which brings us to

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Speaker 1: this moment. Hi, Joe, So you don't have to worry

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Speaker 1: about disappearing testicles.

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Speaker 2: Do you?

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Speaker 3: No? Thank goodness, I don't it sounds terrible.

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Speaker 1: It's yeah, yep, yep, and swimming at the beach just

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Speaker 1: a whole different thing for boys over women. It brings

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Speaker 1: with it's all not just physiological, but psychological and emotional

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Speaker 1: challenges as well. Jo, It's like, where the folk do

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Speaker 1: I go with this?

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Speaker 3: This out?

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Speaker 1: We don't talk about this online FM. I want more

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Speaker 1: Jesus and less testical talk.

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Speaker 2: We were having a conversation this morning, literally because anyway,

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Speaker 2: I wait, yeah, actually I don't even know why I

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Speaker 2: opened my mouth. But our dog has no testicles, and

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Speaker 2: I don't know how what's her name?

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Speaker 3: Dusty is a boy? Well obviously it's a boy.

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Speaker 1: Well there's lots of dogs with no testicles. They're called

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Speaker 1: girls and also boys. All right, anyway, see that tips

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Speaker 1: straight through to the keeper. Go on, So Dusty's got

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Speaker 1: no knackers?

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Speaker 2: No, no, anyway, the conversation came up last night.

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Speaker 3: I can't remember why the heck we were.

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Speaker 2: Talking about it, but anyway, here we are again talking

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Speaker 2: about testicles, So you.

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Speaker 1: Know, there you go particularly speaking well, the other member

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Speaker 1: of the panel who does have testicles is up in

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Speaker 1: the top left hand corner.

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Speaker 3: That may helps.

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Speaker 1: That's you, you know, it's you.

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Speaker 3: Don't do I no, probably not?

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Speaker 1: Probably not Now before anyone sends an email, tips always

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Speaker 1: joking about her own sexuality and how she's thirty percent

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Speaker 1: boys seventy percent woman, and what's the percentage.

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Speaker 3: Today, maybe you've given the morning's antics.

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Speaker 4: I've rocketed back down to only a three percent boy

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Speaker 4: when I couldn't figure out how to start my motorcycle

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Speaker 4: and needed to ring boys to help me, so put

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Speaker 4: me back.

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Speaker 3: A few pegs.

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Speaker 4: Well, yeah, which is always annoying for a girl.

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Speaker 3: It's like, yeah, but help.

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Speaker 1: Yeah, But that's only because you haven't learned that skill.

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Speaker 1: Like her motorbike battery was flat this morning. She didn't

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Speaker 1: know what to do about that. But that's not because

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Speaker 1: you're a girl. That's because you haven't been in that

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Speaker 1: situation before, and.

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Speaker 3: So I knew what to do.

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Speaker 4: But I don't want to push a couple hundred kilos

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Speaker 4: of motorbike trying to wheel it up a wonky driveway,

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Speaker 4: trying to start it in second.

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Speaker 1: Oh no, that's a yeah, that's a good way to

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Speaker 1: fuck up your bike because you'll drop it. Yeah yeah,

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Speaker 1: and pushing a motorbike and running along and then trying

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Speaker 1: to chuck it in gear, dump the clutch and get

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Speaker 1: it going. I mean, I've been riding motorbikes my whole

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Speaker 1: life and I still I can do it. But it

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Speaker 1: ain't easy to do. Yeah. No, it's not an easy skill,

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Speaker 1: so you probably don't. Also, you don't need to pick that,

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Speaker 1: see Jody, You don't need to worry about these things.

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Speaker 2: Oh no, no, I don't. I absolutely don't.

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Speaker 1: What's the closest thing you do to jump starting a

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Speaker 1: motorbike that's got a flat battery?

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Speaker 2: Jump starting my car that I just had to replace

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Speaker 2: the battery in.

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Speaker 3: A couple of weeks ago. That's the closest.

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Speaker 1: Speaking of nothing to do with technology, but well, a

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Speaker 1: bit of tech and bikes and cars, especially bikes and

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Speaker 1: cars these days, I guess. But you've just brought some

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Speaker 1: new technology into your atmosphere that has made you more

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Speaker 1: aware of a few stats and some data, and tell

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Speaker 1: us about that I have.

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Speaker 2: Yeah, I'm absolutely I think it's day four. I bought

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Speaker 2: a whoop strap and so it's a wearable activity tracker essentially,

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Speaker 2: but the data it's I'm still learning actually about all

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Speaker 2: of the information that it's telling me, but it's already

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Speaker 2: influenced my behavior. It's influenced my choices because it tells

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Speaker 2: me each day what my sleep was, what my recovery was,

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Speaker 2: is what.

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Speaker 3: My strain is.

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Speaker 2: And so I actually like, instead of having a second

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Speaker 2: cup of coffee this morning, I just had two more

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Speaker 2: glasses of water and that is just unheard of, because

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Speaker 2: I really want to get that recovery.

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Speaker 3: Score into the green zone.

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Speaker 2: So yeah, but it's so interesting that the insights that

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Speaker 2: it gives you, and eventually, in about twenty more days,

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Speaker 2: it'll give me my biological age and my rate of

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Speaker 2: aging as well, based on my activity and my choices.

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Speaker 3: Yeah, it's pretty cool.

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Speaker 1: Do you have one of those tip I know you're

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Speaker 1: the coin of technology and strapping shit and poking shit.

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Speaker 1: Oh that sounded bad, but I mean that that blood

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Speaker 1: sugar thing. I was going to say poking shit into

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Speaker 1: your body.

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Speaker 4: By that where we started in this conversation.

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Speaker 1: Let's get Yeah, I meant that blood sugar thing with

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Speaker 1: a needle in it that you poked into your shoulder

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Speaker 1: and wore around shutting out of your deltoid. Do you

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Speaker 1: have one of them?

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Speaker 4: I had a whoop band a few years ago, and

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Speaker 4: then I moved on to the more advanced versions of

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Speaker 4: the garment. But funnily enough, Jodie, I have just taken

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Speaker 4: most data off of the screen of my watch and

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Speaker 4: blocked the app on my phone, so I cannot access

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Speaker 4: the majority of data, especially sleep, because it's just you know,

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Speaker 4: tiff gets obsessed and it's not always great.

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Speaker 2: Yeah, that is something that can happen. I was a

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Speaker 2: bit worried, actually. Pete sent to me the other day,

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Speaker 2: he said, I because I was getting I'm getting excited

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Speaker 2: obviously looking at the data, and He's like, I don't

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Speaker 2: want you to get obsessed with this. And I feel

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Speaker 2: okay so far, but I think that you can reckless

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Speaker 2: sleep by worrying too much about it and pulling it apart.

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Speaker 2: So yeah, so when did you do that?

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Speaker 3: TIF? Was that just just this week? Actually? And because

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Speaker 3: what I feel is I.

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Speaker 4: Drag the information forward and layer each day upon each

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Speaker 4: day so I can know that I've had Okay, maybe

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Speaker 4: I didn't get the optimal amount of sleep last night.

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Speaker 4: Right now, there's nothing I could do about it. But

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Speaker 4: then there's almost an unconscious building of judgment and maybe

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Speaker 4: a bit of anxiety when I'm making choices of doing

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Speaker 4: things and then getting to bed and then yeah, it's sneaky.

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Speaker 2: Yeah, I hear you. I hear you, and you do.

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Speaker 2: You start to sort of think and anticipate what's going

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Speaker 2: to happen. And then if you've got a late night

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Speaker 2: for different reasons, you're like, oh, it's going to wreck

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Speaker 2: my sleep school. I can see how that can happen.

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Speaker 2: So I think, and I think that's really smart. I

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Speaker 2: think it's it's there as a tool, as a guide,

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Speaker 2: as a support. You've probably got enough information now through

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Speaker 2: having seen all your data to know what makes a difference,

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Speaker 2: you know, for the good and for the bad.

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Speaker 4: Yeah, and well I didn't want to take it off,

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Speaker 4: so I thought, if I blocked the data, I can

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Speaker 4: make my choices and review them in three months time

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Speaker 4: and see what's working without being reactive to it.

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Speaker 3: Yep, So being able to block.

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Speaker 4: That app but still let the app record was really

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Speaker 4: good feature?

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Speaker 3: Oh, great, A good one. Awesome.

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Speaker 1: I'm just thinking about the title for the show as

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Speaker 1: I do, but also the theme and I'm thinking it's

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Speaker 1: like interesting when something that is initially triggered by a

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Speaker 1: healthy pursuit or a healthy idea becomes an unhealthy practice.

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Speaker 1: So it might be kind of is it? Can it

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Speaker 1: be a positive in terms of your physical health, gives

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Speaker 1: you awareness, gives you data, might help you make decisions

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Speaker 1: like you did this morning around your extra water that

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Speaker 1: if you weren't you whoop, maybe you didn't do that.

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Speaker 1: But then us three who all could be a little

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Speaker 1: bit obsessive? Who could all be a little bit type A?

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Speaker 1: You know, it's not that I pushed the button before

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Speaker 1: I finished wing, but maybe someone close to me, all right,

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Speaker 1: it's me. You You turn, you turn a thing that

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Speaker 1: was initially like a good idea into an unhealthy obsession,

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Speaker 1: because now you get depressed if you don't hit a

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Speaker 1: certain number and pursuant to this conversation, your honors, you know,

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Speaker 1: my minimum steps is ten thousand, which I've spoken about

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Speaker 1: on this thing and had a revelation about ten months

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Speaker 1: ago now and went off, you need to walk more.

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Speaker 1: You're a lazy preck and so I went, that's it

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Speaker 1: from this day forth. Ten thousand is the worst I'm

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Speaker 1: going to do. And most days I'm probably twelve to fourteen. Anyway,

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Speaker 1: the other night I got in, I was about to

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Speaker 1: go to bed, and I just checked. I thought I

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Speaker 1: was just over ten thousand, which I was said like

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Speaker 1: ten ten, three or four, which is I want to

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Speaker 1: do more? But I'm like, fuck it, I've had a

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Speaker 1: big day and I'm going for a walk in the

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Speaker 1: morning before the hey baba. But I get up in

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Speaker 1: the morning and I do not know why, but and

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Speaker 1: I felt good about myself going to bed, got up,

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Speaker 1: felt good, looked at my steps after I'd walked and

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Speaker 1: got to the cafe and it said my steps from

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Speaker 1: the day before were nine to six, uh like the

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Speaker 1: data was And I'm like, it can't be nine six,

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Speaker 1: And I'm pressing refreshed and I'm reopening shit and I'm

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Speaker 1: turning my I'm like, can't be fucking nine six, and

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Speaker 1: I'm like, how is it nine six?

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Speaker 3: Yesterday I was ten.

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Speaker 1: And then I'm like, oh, look at me, ah, I'm mental,

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Speaker 1: look at me like I'm weird. And it really bothered me.

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Speaker 1: And then I had a you know, a more evolved

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Speaker 1: version of me paying attention to the bothered version of me,

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Speaker 1: going what the fuck is wrong with you? Like what

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Speaker 1: is wrong with you? But even when I figured it's

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Speaker 1: nine six, well, I'm like, well, I guess if over

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Speaker 1: a two day period I offset the four hundred I

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Speaker 1: missed with an extra four hundred and then a bit,

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Speaker 1: you know, I'm starting to bargain with myself to make

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Speaker 1: it okay. And this is the fucking PhD psychology guy

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Speaker 1: who's the exercise scientist who's training a million, and I'm

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Speaker 1: still yeah, I think it's so easy to get to

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Speaker 1: step out of that healthy space into that mentally and

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Speaker 1: emotionally unhealthy space, especially if because I think the line

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Speaker 1: between I'll shut up after this, the line between discipline

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Speaker 1: and obsession is about one and a half millimeters.

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Speaker 3: Yeah, I agree with you. I think that.

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Speaker 2: I think it's something to be really really aware of

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Speaker 2: and also to we've got it, Like the bigger picture

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Speaker 2: is why are we doing it? Because we want to

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Speaker 2: be healthier, have more energy, have better blood sugar control,

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Speaker 2: have a stronger, healthier heart, better health span, and the

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Speaker 2: body needs Actually rest and recovery is really important.

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Speaker 3: It's actually so good for us. We do need breaks, and.

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Speaker 2: If we can listen to our body more, we often

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Speaker 2: know what it needs. But you know, I can see

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Speaker 2: how easily that that can happen, and it's Yeah, it

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Speaker 2: takes away from the whole purpose of getting the extra

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Speaker 2: data in the first place.

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Speaker 1: Yeah, because anxiety is bad for your body, Like stress

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Speaker 1: is bad for your body. I mean it literally, we

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Speaker 1: said we weren't going to open the anxiety door today,

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Speaker 1: so we'll just open it. We'll just glimpse in. We

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Speaker 1: won't walk in, we'll just look through the door. But

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Speaker 1: it is ironic that you then can almost create a

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Speaker 1: mental health issue around something that's meant to be a

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Speaker 1: really good thing for your physical health.

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Speaker 3: Yeah, it's so so true.

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Speaker 2: And if we can like just stop then think about

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Speaker 2: stress and its effects on our heart else for example,

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Speaker 2: that gosh, it's like we all want to live long, happy,

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Speaker 2: healthy lives and still be doing really fun cool stuff

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Speaker 2: right up to kind of the day we you know,

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Speaker 2: CARCKT And the gap apparently at the moment HARPS is

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Speaker 2: about ten years between health span and lifespan forul a

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Speaker 2: lot of people. And so you know, we all know

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Speaker 2: that stress isn't good for us, and you know, it's

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Speaker 2: the worst thing in the world. When the thing like

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Speaker 2: you say that it's there to help you achieve these

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Speaker 2: goals of you know, longevity and health is doing the

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Speaker 2: exact opposite. But I think it's I think like for

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Speaker 2: a lot of people, it's just the initial kind of

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Speaker 2: getting used to tracking is going to be like, really,

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Speaker 2: you're going to be really focused on it, and then

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Speaker 2: I imagine, and I hope this will be the case

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Speaker 2: for me, you just get sort of like in the

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Speaker 2: swing of things and you roll with it. But if

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Speaker 2: you if you like Tiff, well, Tiff, you've made a

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Speaker 2: decision happened to you, You're like, we'll actually know this

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Speaker 2: is not good for me. I'm going to turn it off.

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Speaker 2: So you know, think I'm fascinated by it. I think

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Speaker 2: it's really I'm pretty excited about it.

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Speaker 4: But yeah, I think it's when you you've pulled a

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Speaker 4: lot of levers and then when you can't actually pull

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Speaker 4: any more levers to change the data you're looking at,

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Speaker 4: like sleep. And for me, we know that the sleep data,

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Speaker 4: like the time that's reported is probably fairly accurate, but

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Speaker 4: the deep and rem sleep, which is often what I'm

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Speaker 4: looking at, that can be wildly inaccurate on those devices.

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Speaker 4: We know that, but yet my brain when I'm analyzing

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Speaker 4: it is like, oh, no, you've had no rem sleep.

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Speaker 4: You're going to whatever the story I invent.

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Speaker 3: Spire for that.

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Speaker 1: So I'm just sorry despite the fact that you got

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Speaker 1: out of bed feeling good, then you saw some data

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Speaker 1: and now I feel.

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Speaker 3: Bad exactly exactly, Yeah.

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Speaker 2: And the way to get better at not sleeping well

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Speaker 2: is to accept that not sleeping well is a part

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Speaker 2: of getting better sleep, which is hard, isn't it right

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Speaker 2: you live here and you're like, oh, how many hells

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Speaker 2: am I.

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Speaker 3: Going to get?

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Speaker 2: Oh got to do this tomorrow and I'm not going

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Speaker 2: to be fresh and thinking well. But the more we

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Speaker 2: can accept what happens in the night, the more likely

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Speaker 2: out of relax and actually get better quality sleep.

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Speaker 3: But it's a vicious.

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Speaker 1: Cycle to tell our listeners who haven't heard and also

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Speaker 1: Dr Jody about your blood Sugar extra, the thing that

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Speaker 1: I was talking about before, because some people know about

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Speaker 1: it and some people don't know the story. Now, by

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Speaker 1: the way, we're not throwing any particular product or company

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Speaker 1: under the bus, so maybe don't mention who, but the

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Speaker 1: story is absolutely true. So it's interesting.

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Speaker 3: Yeah.

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Speaker 4: So I for a while now I've seen those continuous

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Speaker 4: blood glue coost monitors, and we've talked about that and

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Speaker 4: I'm like, that'd be interesting, That'd be really interesting to see.

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Speaker 4: And I'm a bit of a shore the lover, so

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Speaker 4: anything that can give me a bit of rock solid

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Speaker 4: data and show me a reason to stop eating those

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Speaker 4: cookies up the road that I keep sending you pictures

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Speaker 4: of harps, geez, they're good.

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Speaker 3: So I was really interesting send.

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Speaker 1: The ex fat kid pictures of cookies.

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Speaker 4: This was today's cookie. Shout out to Hay their cookie

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Speaker 4: and Elwood amazing. So I put this blood glucose monitor

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Speaker 4: on to see what the effects of what I'm eating

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Speaker 4: and hopefully that it would it would show me things

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Speaker 4: that would make me think twice about doing that as

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Speaker 4: often as I do it. Anyway, I put this monitor

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Speaker 4: on and it immediately showed me through the night that

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Speaker 4: I'm dipping into hypoglycemic really low blood sugar, and then

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Speaker 4: in the coming nights staying there like redlining all night.

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Speaker 4: So I was like, oh, this is I've got a

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Speaker 4: Type one diabetic client. She wears one of these, so

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Speaker 4: I was sending her the data going oh, this is

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Speaker 4: not good. And within those that one to two weeks,

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Speaker 4: first one to two weeks of wearing that I had

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Speaker 4: started changing how I'm eating, eating oats of a night,

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Speaker 4: going into absolute turmoil. But what was really interesting, Jody

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Speaker 4: is and I was aware of it, but I was like,

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Speaker 4: I actually started feeling waking, feeling really exhausted again and

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Speaker 4: feeling the effects of Oh, this is really this is

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Speaker 4: not good. Something's happening with my metabolism and my body,

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Speaker 4: and now I'm feeling really burnt out by it. And

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Speaker 4: in thinking that, I was like, that's weird that this

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Speaker 4: is not a new thing though, this is just new

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Speaker 4: knowledge about a thing that was happening. However, moments before

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Speaker 4: booking an expensive end of chronologist appointment, I decided to

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Speaker 4: go and get the blood prick test and discovered that

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Speaker 4: the data was completely inaccurate. Really yeah, so I don't

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Speaker 4: know what's gone what was going on with it, but

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Speaker 4: it was way under what my blood sugar actually was

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Speaker 4: reading at what sort.

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Speaker 1: Of her data was like she's about to go into

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Speaker 1: a hypo.

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Speaker 3: Yeah, coma, Yeah it.

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Speaker 1: Did get into the two's.

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Speaker 3: Yeah it got into the twos. Wow. Yeah, wow interesting?

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Speaker 3: Did you did you let the company know?

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Speaker 4: I sent it in and they sent me back a

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Speaker 4: whole range of things that I had to do in

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Speaker 4: order to get a replacement, And to be honest, I

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Speaker 4: was like, I'm not doing all of that, Yeah, like

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Speaker 4: going giving software numbers and taking comparative readings at certain times,

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Speaker 4: and I was just like, whatever.

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Speaker 2: It's very It's very worrying though, because you were doing

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Speaker 2: it as a as a little experiment to sort of

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Speaker 2: suss and and the motivation to understand how it's you know,

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Speaker 2: what your reading is affecting your blood sugars and making

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Speaker 2: some changes. But that's really frightening to think. You know,

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Speaker 2: my dad's a type two diabetic and he was down

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Speaker 2: into the twos at a hospital stay recently and it's

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Speaker 2: I was there when one of them and actually it's frightening.

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Speaker 3: It's very dangerous.

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Speaker 2: So if you're not getting accurate readings, that's a real problem.

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Speaker 4: Yeah, and just the idea of placebo, but we know

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Speaker 4: the power of placebo effect, and if we continue to

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Speaker 4: believe things like that, it can Like that stressed me

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Speaker 4: out so much, I'll put on four kilos that week.

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Speaker 1: But you know what, do you know what I find

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Speaker 1: speaking place ebo and like you told me a couple

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Speaker 1: of times where you got out of bed felt good,

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Speaker 1: like you literally felt physically good, yeah, healthy good, and

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Speaker 1: then you looked at the data and then you literally

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Speaker 1: felt bad.

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Speaker 3: Yeah.

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Speaker 4: I had a couple of afternoons where I was I

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Speaker 4: went to I laid on the couch and I went

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Speaker 4: to sleep, and I was.

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Speaker 2: Like, oh, I feel shocking.

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Speaker 1: Yeah, weird. Yeah that's that. I mean, Yeah, that Jeffrey

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Speaker 1: Rettiger from Harvard. We had a dude on here a

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Speaker 1: couple of times from Harvard Medical School. Jody called Professor

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Speaker 1: Jeffrey Reddicker, who's like one of, if not the worlding

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Speaker 1: world leading authorities in plus ebo and no CIBO research,

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Speaker 1: and he talks about it's just I reckon, that's the

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Speaker 1: I reckon, that's the untapped. I mean, there's probably a

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Speaker 1: lot of untapped stuff, but for me, near the top

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Speaker 1: of the list would have to be trying to understand

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Speaker 1: how powerful our mind is and what we could actually

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Speaker 1: I feel like we've all got a Formula one car

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Speaker 1: in the garage that we can't drive. It's just like

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Speaker 1: it's just got this incredible capability. But we're all used

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Speaker 1: to driving a blood bloody Dodge and car around Hampton,

391
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Speaker 1: and so we've got this thing that's amazing. We've got

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Speaker 1: the keys to it. We've got that, we've got the

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Speaker 1: actual thing, but we just don't know how to actually

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Speaker 1: optimize it. And that those you know, those few rare

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Speaker 1: moments that you have where you're like, oh fuck my,

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Speaker 1: I'm not talking about intellect here. I'm not talking about cognition.

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Speaker 1: I'm just talking about just how amazing our brain can

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Speaker 1: be to regulate our body, you know that. Like, and

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Speaker 1: I don't want to bore people again, but remember that

400
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Speaker 1: you remember that milkshake study, Jody? Do you remember that

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00:21:13,320 --> 00:21:15,000
Speaker 1: if you remember right or not? Yeah?

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Speaker 3: I do, Yeah, but tell us I.

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Speaker 1: Don't want to bore everyone. But the gist of it

404
00:21:20,520 --> 00:21:23,760
Speaker 1: is Jody's so they Sorry everyone that's heard this five times,

405
00:21:23,760 --> 00:21:26,119
Speaker 1: I apologize, But for those who haven't, it's interesting, and

406
00:21:26,119 --> 00:21:28,480
Speaker 1: for Jody it's interesting. So they've got a whole bunch

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Speaker 1: of people who were fasted for I can't remember, but

408
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Speaker 1: they were all hungry, so they're grellon levels being the

409
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Speaker 1: hunger hormone were high. So I'm hungry. I've got lots

410
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Speaker 1: of grellin in my blood. I'm not hungry, and now

411
00:21:43,200 --> 00:21:46,920
Speaker 1: I'm producing laptin, which is the society hormone. But anyway,

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Speaker 1: so they're hungry, so Grellon levels are high, and they

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Speaker 1: they know that this is on. They're just researching. According

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Speaker 1: to the participants, and they've been brief by the research team.

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00:22:00,080 --> 00:22:04,479
Speaker 1: We look at the relationship between how eating meals with

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Speaker 1: more or less calories impacts your Grelon levels, so your

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Speaker 1: hunger hormone level. So the obvious assumption being or hypothesis being, Okay,

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Speaker 1: if you have a meal we say seven or eight

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Speaker 1: hundred calories or six hundred calories, you know, compared to

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Speaker 1: a meal with one hundred calories, your Grellon level is

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Speaker 1: going to go way down. So anyway, they got them in.

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Speaker 1: They got them in two times, it was, and the

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Speaker 1: first time, so they're all hungry, they've all got high

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Speaker 1: grell and they give them basically a milkshake, protein shake, milkshake,

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Speaker 1: full fat, lots of calories, ice cream, protein powder, chocolate taste,

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Speaker 1: fucking amazing, full fat, full flavor, you know, heaven, heaven

427
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Speaker 1: in a cup or heaven in a mug or whatever.

428
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Speaker 1: So they drink it all and then they test their

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Speaker 1: Grelon levels, which obviously across the board have plummeted because

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Speaker 1: they just ate a lot of calories. Then they bring

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Speaker 1: them back in for a second session, same state, high

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Speaker 1: grelen levels, high hunger, they haven't eaten, so they're in

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Speaker 1: a fasted state. Then they give them the low calorie

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Speaker 1: version of what they had in the previous session, so

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Speaker 1: you would expect that they hadn't eaten much, so the

436
00:23:23,160 --> 00:23:27,399
Speaker 1: grelen levels would remain high, which they did. The grelen

437
00:23:27,480 --> 00:23:30,840
Speaker 1: levels were still high, meaning they needed more food. Ye,

438
00:23:31,119 --> 00:23:33,720
Speaker 1: And then they bought everyone in to brief them. They

439
00:23:33,720 --> 00:23:36,160
Speaker 1: sat them all down and went, well, this is what happened.

440
00:23:36,640 --> 00:23:39,480
Speaker 1: You had two drinks, one was high calorie, grelen levels

441
00:23:39,520 --> 00:23:44,320
Speaker 1: went down low because the hunger was dealt with, and

442
00:23:44,359 --> 00:23:47,119
Speaker 1: then this meal over here, which was about a quarter

443
00:23:47,119 --> 00:23:50,840
Speaker 1: of the calories. The hunger hormone remained high, which is

444
00:23:50,960 --> 00:23:55,040
Speaker 1: understandable because you didn't have as many calories, and so

445
00:23:55,359 --> 00:23:59,600
Speaker 1: tickety boot. That's all as expected. Now. The unexpected thing,

446
00:23:59,680 --> 00:24:01,960
Speaker 1: not for us, but for you, well for us as well,

447
00:24:02,680 --> 00:24:05,240
Speaker 1: is that you didn't have anything different. You had two

448
00:24:05,359 --> 00:24:09,159
Speaker 1: drinks with the same amount of calories. So both sittings

449
00:24:09,680 --> 00:24:11,480
Speaker 1: they had I think it was about a three hundred

450
00:24:11,560 --> 00:24:16,800
Speaker 1: calorie shake. Both times they consumed the same thing believing

451
00:24:16,840 --> 00:24:20,880
Speaker 1: they were consuming something else. So what actually regulated their

452
00:24:21,680 --> 00:24:24,760
Speaker 1: leptin levels or their hormones the way that you would

453
00:24:24,800 --> 00:24:27,760
Speaker 1: think would be predicted if that was a real arm

454
00:24:28,720 --> 00:24:32,200
Speaker 1: six hundred or one hundred or whatever. So it wasn't

455
00:24:32,240 --> 00:24:35,480
Speaker 1: actually what they were consuming, but rather what they believed

456
00:24:35,480 --> 00:24:39,040
Speaker 1: that they were consuming that impacted their endocrime system and

457
00:24:39,080 --> 00:24:43,720
Speaker 1: got the results it did. Now now, so that I mean,

458
00:24:43,800 --> 00:24:46,680
Speaker 1: and it's not about milkshakes, and it's not about grellin,

459
00:24:46,760 --> 00:24:49,399
Speaker 1: and it's not about high or low fat. It's about

460
00:24:49,640 --> 00:24:53,920
Speaker 1: how fucking incredible is it that your mind can literally

461
00:24:54,200 --> 00:24:59,240
Speaker 1: change physiology despite something that shouldn't do that when you

462
00:24:59,480 --> 00:25:03,640
Speaker 1: truly believe that this is what's happening in this particular

463
00:25:04,080 --> 00:25:07,280
Speaker 1: study anyway. I think it's called the Canadian Milkshake Study

464
00:25:07,359 --> 00:25:11,240
Speaker 1: or something, folks, if you want to go look at it. Yeah,

465
00:25:11,359 --> 00:25:15,200
Speaker 1: and you think, well, imagine and that the same goes

466
00:25:15,240 --> 00:25:18,480
Speaker 1: with healing, you know, where people and they've looked at

467
00:25:18,480 --> 00:25:21,520
Speaker 1: the power between all the different impact psychological and then

468
00:25:21,600 --> 00:25:27,880
Speaker 1: physiological impact between say a white tablet versus a blue tablet,

469
00:25:28,000 --> 00:25:34,320
Speaker 1: versus a capsule versus a liquid versus an injection, and

470
00:25:34,400 --> 00:25:37,240
Speaker 1: even it's if it's the same dose of the same thing,

471
00:25:37,320 --> 00:25:43,680
Speaker 1: which is probably zero. The physiological response increases as their

472
00:25:43,680 --> 00:25:47,240
Speaker 1: evaluation of the efficacy or the power of the drug increases,

473
00:25:47,800 --> 00:25:49,959
Speaker 1: so they go, oh wow, this is a syringe, This

474
00:25:50,040 --> 00:25:52,719
Speaker 1: is a fucking this is the top of the line.

475
00:25:53,359 --> 00:25:57,320
Speaker 1: So they get the best response with a syringe versus

476
00:25:57,400 --> 00:26:01,199
Speaker 1: a little white tablet. That's somewhat inocuate. And none of

477
00:26:01,200 --> 00:26:03,920
Speaker 1: it's about the medicine or the milkshake. All of it's

478
00:26:03,960 --> 00:26:04,920
Speaker 1: about the mind.

479
00:26:05,320 --> 00:26:09,240
Speaker 2: Yeah, and it's and that the effects are real and

480
00:26:09,280 --> 00:26:18,000
Speaker 2: measurable and quite astounding in some cases. Milkshake studying you

481
00:26:18,119 --> 00:26:21,119
Speaker 2: just talked about. I think I've heard about that a

482
00:26:21,119 --> 00:26:22,640
Speaker 2: long time ago. I might have even heard you talk

483
00:26:22,640 --> 00:26:26,359
Speaker 2: about on the podcast years ago. But it just like

484
00:26:26,400 --> 00:26:29,520
Speaker 2: you said before, it just goes to show that the

485
00:26:29,560 --> 00:26:35,280
Speaker 2: capabilities that we have, we are untapped, and mindset matters.

486
00:26:35,359 --> 00:26:37,520
Speaker 2: How we think about things matters.

487
00:26:37,600 --> 00:26:38,439
Speaker 3: It's important.

488
00:26:38,720 --> 00:26:41,760
Speaker 2: And one of the things that I've talked about when

489
00:26:41,800 --> 00:26:46,440
Speaker 2: I'm talking about happiness science is that how we think

490
00:26:46,840 --> 00:26:49,280
Speaker 2: and what we do has more of an impact on

491
00:26:49,320 --> 00:26:53,480
Speaker 2: our happiness and well being than we underestimate. It we

492
00:26:53,520 --> 00:26:56,920
Speaker 2: think our circumstances influence our happiness and our wellbeing, but

493
00:26:57,040 --> 00:27:00,280
Speaker 2: how we think and what we do, particularly happy winess,

494
00:27:00,440 --> 00:27:01,880
Speaker 2: is profound.

495
00:27:02,720 --> 00:27:03,920
Speaker 3: How we think in particular.

496
00:27:04,119 --> 00:27:09,600
Speaker 1: Yeah, one hundred percent, and if that wasn't true, obviously

497
00:27:09,600 --> 00:27:12,239
Speaker 1: there's a cutoff. I forget the number. I think it

498
00:27:12,320 --> 00:27:15,520
Speaker 1: used to be like sixty or seventy grand where up

499
00:27:15,600 --> 00:27:18,240
Speaker 1: until that it really does make a difference because people

500
00:27:18,240 --> 00:27:20,560
Speaker 1: can buy food for the kids and pay the bills

501
00:27:20,600 --> 00:27:23,840
Speaker 1: and so up to a financial level. And again this

502
00:27:23,960 --> 00:27:27,159
Speaker 1: is general science, it's not true for every individual. But

503
00:27:27,200 --> 00:27:30,400
Speaker 1: then beyond that number, whatever it is, it doesn't make

504
00:27:30,400 --> 00:27:31,120
Speaker 1: any difference.

505
00:27:32,520 --> 00:27:35,040
Speaker 3: It's like a stink rise.

506
00:27:35,600 --> 00:27:38,080
Speaker 2: And then not a plateau, but just a very like

507
00:27:38,600 --> 00:27:41,280
Speaker 2: the gains in happiness that you get for the extra cash.

508
00:27:42,400 --> 00:27:42,959
Speaker 3: And you were right.

509
00:27:43,040 --> 00:27:45,359
Speaker 2: It's about sixty to seventy US, so about one hundred

510
00:27:45,520 --> 00:27:47,000
Speaker 2: ish Australian.

511
00:27:47,480 --> 00:27:51,480
Speaker 1: Yeah, yeah, exactly. And then you think about and again

512
00:27:51,720 --> 00:27:54,199
Speaker 1: this sounds bad, but this is just my experience. Like

513
00:27:54,280 --> 00:27:57,000
Speaker 1: I've worked with lots of rich people, lots like lots,

514
00:27:57,680 --> 00:27:59,480
Speaker 1: and some of them are great, some of them are happy,

515
00:27:59,560 --> 00:28:03,439
Speaker 1: some of them got great balance and great attitudes, but

516
00:28:03,680 --> 00:28:06,040
Speaker 1: are there are quite a lot of people that I've

517
00:28:06,080 --> 00:28:09,720
Speaker 1: worked with that despite from the outside looking in everything

518
00:28:09,800 --> 00:28:13,600
Speaker 1: shiny and amazing and success, in the middle of all

519
00:28:13,640 --> 00:28:14,600
Speaker 1: of that, they ain't.

520
00:28:14,760 --> 00:28:14,960
Speaker 5: You know.

521
00:28:15,080 --> 00:28:21,040
Speaker 1: They are some of them less operational, less functional, less

522
00:28:21,080 --> 00:28:26,840
Speaker 1: happy than people with nowhere near their resources or money.

523
00:28:26,920 --> 00:28:29,280
Speaker 1: And that's, as I always say, that's not to say

524
00:28:29,320 --> 00:28:34,320
Speaker 1: that one causes the other, just in that having more

525
00:28:34,359 --> 00:28:38,920
Speaker 1: money doesn't cause happiness, having lots of money doesn't cause misery.

526
00:28:39,320 --> 00:28:43,400
Speaker 1: It's just an interesting observation because we grow up in

527
00:28:43,440 --> 00:28:48,280
Speaker 1: this collective thinking that well, more staff equals more success,

528
00:28:48,280 --> 00:28:51,480
Speaker 1: and of course success equals happiness. But when you look

529
00:28:51,520 --> 00:28:55,520
Speaker 1: at that outside of the theory, outside of the laboratory

530
00:28:55,520 --> 00:28:57,640
Speaker 1: of the mind, and you get out into the world

531
00:28:57,680 --> 00:29:00,200
Speaker 1: and talk to humans, you're like, I know that that's

532
00:29:00,240 --> 00:29:02,560
Speaker 1: not true at all, because all made over there has

533
00:29:02,560 --> 00:29:05,080
Speaker 1: got fuck all and is the happiest bloke I've ever met.

534
00:29:06,280 --> 00:29:08,400
Speaker 1: You know one a lady that we've had on this

535
00:29:08,440 --> 00:29:11,120
Speaker 1: show that Tiff knows and loves and I know and

536
00:29:11,160 --> 00:29:15,560
Speaker 1: love Nikki. She's a death dueler. She works with people

537
00:29:15,680 --> 00:29:19,400
Speaker 1: who are dying and she does assist. She's a nurse.

538
00:29:19,880 --> 00:29:22,800
Speaker 1: She's a high level nurse, she's also we met doing UNI.

539
00:29:22,920 --> 00:29:25,680
Speaker 1: She did exose science with me one hundred years ago

540
00:29:27,920 --> 00:29:31,480
Speaker 1: and without being at all what's the word disrespectful? She

541
00:29:31,560 --> 00:29:38,760
Speaker 1: lives a very modest life, right She is maybe the happiest,

542
00:29:38,840 --> 00:29:42,320
Speaker 1: most content calm person I know. And it's not you

543
00:29:42,320 --> 00:29:45,959
Speaker 1: don't know how people role play it. She doesn't. She

544
00:29:45,960 --> 00:29:48,440
Speaker 1: don't even do social media, she doesn't watch TV. She

545
00:29:49,120 --> 00:29:52,000
Speaker 1: doesn't have a heater in her house, like she doesn't

546
00:29:52,360 --> 00:29:57,200
Speaker 1: like her life is so eighteen forty two. I don't

547
00:29:57,240 --> 00:30:01,360
Speaker 1: know how the fuck she exists in the middle of it.

548
00:30:01,440 --> 00:30:05,440
Speaker 1: I'm like, you know something that probably that I don't,

549
00:30:06,040 --> 00:30:09,360
Speaker 1: And you know, so one doesn't necessarily equal the other

550
00:30:09,400 --> 00:30:12,840
Speaker 1: steps down off soapbox hands over the mic to either

551
00:30:12,840 --> 00:30:13,200
Speaker 1: one of you.

552
00:30:14,560 --> 00:30:17,840
Speaker 4: I was just thinking, I mean, everything comes at a

553
00:30:17,880 --> 00:30:19,120
Speaker 4: cost of something else.

554
00:30:19,280 --> 00:30:21,800
Speaker 3: And so when we start.

555
00:30:21,440 --> 00:30:29,080
Speaker 4: To prioritize career or success or achieving a goal, and

556
00:30:29,120 --> 00:30:32,400
Speaker 4: we start making these micro decisions that that's a priority,

557
00:30:32,440 --> 00:30:34,160
Speaker 4: and then there's a story that builds on that, and

558
00:30:34,200 --> 00:30:36,800
Speaker 4: that's where our time and attention goes. The cost is

559
00:30:37,760 --> 00:30:41,000
Speaker 4: am I investing in the relationships and the people around me,

560
00:30:41,160 --> 00:30:43,880
Speaker 4: and because that's what gives me a sense of belonging

561
00:30:44,000 --> 00:30:47,360
Speaker 4: like I'm the worst at that. Tiffany in twenty twenty

562
00:30:47,360 --> 00:30:51,959
Speaker 4: four and Tiffany in twenty twenty five, albeit helping with

563
00:30:52,160 --> 00:30:57,240
Speaker 4: some HRT definitely, But even before that, my mindset of

564
00:30:57,440 --> 00:31:00,880
Speaker 4: my life is two polar opposite things, and my life

565
00:31:00,960 --> 00:31:03,720
Speaker 4: and my income and the way I work. The only

566
00:31:03,760 --> 00:31:06,400
Speaker 4: thing I've changed is having a couple of days off,

567
00:31:06,440 --> 00:31:12,080
Speaker 4: But my the way I view that so different. Last

568
00:31:12,120 --> 00:31:14,640
Speaker 4: year I was bitter and angry, not angry, but bitter

569
00:31:14,720 --> 00:31:17,680
Speaker 4: and tired and frustrated, and nobody works as hard as

570
00:31:17,720 --> 00:31:19,760
Speaker 4: me and gets as little as me. Like this story

571
00:31:19,800 --> 00:31:22,960
Speaker 4: in the back of my head was just rubbish. And

572
00:31:23,280 --> 00:31:25,880
Speaker 4: this year, I'm like, nothing's changed, but.

573
00:31:25,880 --> 00:31:27,440
Speaker 3: I'm so relaxed about it.

574
00:31:27,520 --> 00:31:30,880
Speaker 4: I'm like, I've got a pretty good life. I've got

575
00:31:30,960 --> 00:31:32,440
Speaker 4: so much flexibility and.

576
00:31:32,400 --> 00:31:33,360
Speaker 3: I'm doing Okay.

577
00:31:34,240 --> 00:31:40,400
Speaker 2: What's the fucking rush That there was a study done

578
00:31:40,800 --> 00:31:44,000
Speaker 2: and it you know, like I know that you traveled.

579
00:31:44,000 --> 00:31:45,400
Speaker 3: I know that you traveled, tiff and.

580
00:31:45,360 --> 00:31:47,600
Speaker 2: You went to the Humalayas and you it was like

581
00:31:47,600 --> 00:31:49,880
Speaker 2: an epiphany for you, really, wasn't it? Like it was

582
00:31:50,000 --> 00:31:53,800
Speaker 2: just because I think, you know, we do we have

583
00:31:53,960 --> 00:31:58,120
Speaker 2: a we grow up and we go through life sort

584
00:31:58,120 --> 00:32:00,320
Speaker 2: of putting a happiness on the other side of something,

585
00:32:01,480 --> 00:32:03,640
Speaker 2: and I've been guilty of that as well.

586
00:32:03,680 --> 00:32:05,480
Speaker 3: And I'm trying to.

587
00:32:05,440 --> 00:32:09,480
Speaker 2: Be more self aware as to what's driving me and

588
00:32:09,560 --> 00:32:15,560
Speaker 2: this need for achievement. And there was this really interesting

589
00:32:15,600 --> 00:32:18,480
Speaker 2: study that there was about six hundred and fifty thousand

590
00:32:18,560 --> 00:32:20,680
Speaker 2: data points, so it was done through an app and

591
00:32:20,840 --> 00:32:25,120
Speaker 2: people who were involved in this study were asked at

592
00:32:25,720 --> 00:32:28,719
Speaker 2: random times across a period of the study, what are

593
00:32:28,760 --> 00:32:31,240
Speaker 2: you doing, what are you thinking about?

594
00:32:31,280 --> 00:32:32,360
Speaker 3: And how happy are you?

595
00:32:33,600 --> 00:32:37,760
Speaker 2: And we know the data, like you probably heard, the data,

596
00:32:37,960 --> 00:32:40,000
Speaker 2: you know, showed that forty seven percent of the time

597
00:32:40,040 --> 00:32:42,560
Speaker 2: people were thinking about something other than what they were doing,

598
00:32:43,520 --> 00:32:47,360
Speaker 2: but overwhelmingly. But it also showed was that that people

599
00:32:47,400 --> 00:32:50,120
Speaker 2: were most happy when their attention was on what they

600
00:32:50,120 --> 00:32:54,680
Speaker 2: were doing in that very moment. And you know, we

601
00:32:54,720 --> 00:32:58,800
Speaker 2: hear about mindfulness. We know how powerful meditation. It was

602
00:32:58,920 --> 00:33:01,160
Speaker 2: very healing for me when I was coming through depression.

603
00:33:01,400 --> 00:33:04,040
Speaker 2: I was meditating twice a day for twenty minutes, long

604
00:33:04,080 --> 00:33:08,200
Speaker 2: before kids, and it was just absolutely life changing. But

605
00:33:09,280 --> 00:33:11,880
Speaker 2: if we can have the gratitude and the appreciation and

606
00:33:11,920 --> 00:33:15,840
Speaker 2: our attention in the moment, this moment and then this

607
00:33:15,920 --> 00:33:20,880
Speaker 2: moment and now this moment that's really where we find happiness.

608
00:33:21,600 --> 00:33:24,160
Speaker 2: And yet you know, we just have to open our

609
00:33:24,360 --> 00:33:27,920
Speaker 2: Instagram feed to see who's in the Bahamas or who's

610
00:33:27,920 --> 00:33:31,840
Speaker 2: got the new car and anyone listening. Like I know,

611
00:33:32,680 --> 00:33:35,680
Speaker 2: I had a sports car attitude or shiny red coupe

612
00:33:35,800 --> 00:33:40,280
Speaker 2: that I just thought was so amazing. Then I got depression,

613
00:33:41,080 --> 00:33:43,760
Speaker 2: and when I came through that, I realized none of

614
00:33:43,760 --> 00:33:47,480
Speaker 2: that matters if you don't have your mental health. And

615
00:33:47,560 --> 00:33:51,720
Speaker 2: I regained it through bringing my attention into the present moment.

616
00:33:51,880 --> 00:33:57,760
Speaker 2: And it's so simple and it's so accessible, but it's

617
00:33:57,880 --> 00:33:58,720
Speaker 2: very hard to do.

618
00:33:59,240 --> 00:34:00,560
Speaker 3: It's very, very hard to do.

619
00:34:00,680 --> 00:34:03,160
Speaker 2: But the more we can all do it for ourselves,

620
00:34:03,320 --> 00:34:05,640
Speaker 2: the more we'll enjoy this very precious life we've got

621
00:34:05,680 --> 00:34:08,839
Speaker 2: because we wish it away or we try to rush

622
00:34:08,840 --> 00:34:10,960
Speaker 2: through one moment to get to the next, and then

623
00:34:11,000 --> 00:34:13,040
Speaker 2: we're just resetting the goalposts.

624
00:34:12,680 --> 00:34:14,200
Speaker 3: It's crazy.

625
00:34:15,160 --> 00:34:18,480
Speaker 1: Yeah, I agree. I wrote something a long time ago

626
00:34:18,520 --> 00:34:19,960
Speaker 1: I put up the other day I've been trying to

627
00:34:19,960 --> 00:34:24,279
Speaker 1: find it says, sometimes we don't appreciate how great our

628
00:34:24,320 --> 00:34:27,680
Speaker 1: life is until something bad happens and our reality has changed.

629
00:34:28,280 --> 00:34:30,440
Speaker 1: And when that happens. All we want is our old

630
00:34:30,520 --> 00:34:34,879
Speaker 1: life back, the one we complained about. You know. It's

631
00:34:34,960 --> 00:34:38,839
Speaker 1: like I think, I always say to Melissa, and I've

632
00:34:38,840 --> 00:34:41,120
Speaker 1: said this a million times here, but if I complain

633
00:34:41,160 --> 00:34:43,200
Speaker 1: about my life, punched me in the face because and

634
00:34:43,239 --> 00:34:45,040
Speaker 1: I mean literally punched me in the face because I'm

635
00:34:45,080 --> 00:34:48,799
Speaker 1: the problem, because my life is so I reckon. For me,

636
00:34:49,040 --> 00:34:53,080
Speaker 1: this sounds really counterintuitive and contradictory, but one of the

637
00:34:53,080 --> 00:34:56,759
Speaker 1: biggest gifts for me has been and continues to be

638
00:34:57,800 --> 00:35:02,279
Speaker 1: working with people, supporting people who've got real problems, Like

639
00:35:02,320 --> 00:35:04,759
Speaker 1: I don't have any real problems. It's like all my

640
00:35:04,840 --> 00:35:05,760
Speaker 1: problems are bullshit.

641
00:35:06,880 --> 00:35:07,080
Speaker 2: You know.

642
00:35:07,760 --> 00:35:11,080
Speaker 1: Even people are off and ah, how's your mom and dad?

643
00:35:11,120 --> 00:35:15,400
Speaker 1: I go, yeah, you know, it's it's solid. It's a

644
00:35:15,400 --> 00:35:18,399
Speaker 1: bit tough at times, but they're eighty five and eighty six,

645
00:35:18,800 --> 00:35:24,760
Speaker 1: so also good do you know, Well, hey they're not dead.

646
00:35:25,160 --> 00:35:27,399
Speaker 1: And I know that's always way to talk, but hey,

647
00:35:27,400 --> 00:35:30,479
Speaker 1: they're not dead, So thumbs up. Because most people buy

648
00:35:30,520 --> 00:35:32,080
Speaker 1: their age, aren't their age?

649
00:35:32,480 --> 00:35:34,320
Speaker 3: Yeah, you know they've got around.

650
00:35:34,719 --> 00:35:40,239
Speaker 4: Yeah, outside of circumstances. How do we honor the what

651
00:35:40,320 --> 00:35:44,080
Speaker 4: will always be a natural ebb and flow of our emotions,

652
00:35:44,160 --> 00:35:46,760
Speaker 4: like in the best life ever, we're going to feel

653
00:35:47,640 --> 00:35:51,440
Speaker 4: our worst moments anyway, And sometimes, you know, like the

654
00:35:51,480 --> 00:35:55,360
Speaker 4: realization that right now with my parents won't last forever

655
00:35:55,440 --> 00:35:57,440
Speaker 4: and that makes me feel sad. How do I honor

656
00:35:57,480 --> 00:35:59,200
Speaker 4: that without throwing a pity party?

657
00:36:00,320 --> 00:36:02,359
Speaker 1: I think that for me, and then I'll let the

658
00:36:02,400 --> 00:36:07,560
Speaker 1: actual brains of the organization jump in for me. I

659
00:36:07,600 --> 00:36:10,840
Speaker 1: think it's been aware, being aware of What's.

660
00:36:10,640 --> 00:36:12,040
Speaker 3: That is that you, Jody?

661
00:36:12,680 --> 00:36:18,000
Speaker 1: Yeah? Being being aware of and acknowledging the feelings without

662
00:36:18,080 --> 00:36:22,799
Speaker 1: being controlled or hijacked by them. You know, having your

663
00:36:22,840 --> 00:36:27,200
Speaker 1: body and your brain and your mind hijacked by emotions

664
00:36:27,920 --> 00:36:32,000
Speaker 1: is not a great response, whereas acknowledging, like do I

665
00:36:32,160 --> 00:36:35,200
Speaker 1: ever feel sad about my mum and dad? You know

666
00:36:35,719 --> 00:36:39,200
Speaker 1: passing away? Of course, of course. But I'm like, then

667
00:36:39,280 --> 00:36:41,359
Speaker 1: part of me goes, yeah, but now they're not dead, right,

668
00:36:41,400 --> 00:36:43,560
Speaker 1: And I go, oh, yeah, well there's that, and you'll

669
00:36:43,560 --> 00:36:48,040
Speaker 1: see them Saturday. Yeah good, yeah good. And Ronald complained

670
00:36:48,040 --> 00:36:52,080
Speaker 1: about how shit Carlton are and Mama asked me nine

671
00:36:52,120 --> 00:36:54,560
Speaker 1: times if I want a cup of tea and I

672
00:36:54,600 --> 00:36:57,680
Speaker 1: could squeeze it till she farts. What a great life,

673
00:36:57,760 --> 00:37:03,480
Speaker 1: you know, it's like this the current like currently they're here,

674
00:37:04,480 --> 00:37:06,960
Speaker 1: so let's not be sad before I get it. I

675
00:37:07,040 --> 00:37:09,719
Speaker 1: get it, but but I'm with you, TIF that is

676
00:37:09,760 --> 00:37:12,640
Speaker 1: an ongoing challenge, and I think I think emotions are

677
00:37:12,680 --> 00:37:16,080
Speaker 1: way more powerful than thoughts, by the way, yeah, because

678
00:37:16,120 --> 00:37:20,680
Speaker 1: emotions can literally you know, thoughts are powerful. But once

679
00:37:20,760 --> 00:37:25,800
Speaker 1: you feel something, it's hard to unfeel that in the moment,

680
00:37:25,840 --> 00:37:29,360
Speaker 1: it's hard to And also there's that you know, that

681
00:37:29,480 --> 00:37:32,000
Speaker 1: story and this is zooming back two or three minutes

682
00:37:32,040 --> 00:37:36,719
Speaker 1: in the chat. But I wrote this down the old

683
00:37:36,880 --> 00:37:41,400
Speaker 1: I'll be happy when min set, Like if we just

684
00:37:41,440 --> 00:37:46,960
Speaker 1: took out the last word, I'll be happy, all right,

685
00:37:47,719 --> 00:37:49,920
Speaker 1: Like is there good stuff in your life? Yeah? Tell

686
00:37:50,000 --> 00:37:55,279
Speaker 1: me about that which no good? Because I say, we

687
00:37:55,360 --> 00:37:57,800
Speaker 1: have this ability to find a needle of negativity and

688
00:37:57,840 --> 00:37:58,920
Speaker 1: a haystack of hope.

689
00:38:00,800 --> 00:38:01,360
Speaker 2: So true.

690
00:38:01,480 --> 00:38:03,040
Speaker 3: I've got a question for Jodie.

691
00:38:03,760 --> 00:38:08,080
Speaker 4: How often do you think, because we are obsessed with

692
00:38:08,760 --> 00:38:11,600
Speaker 4: or we have a need for certainty and we storytell

693
00:38:11,719 --> 00:38:15,160
Speaker 4: really quick, how often do you think we misinterpret or

694
00:38:15,200 --> 00:38:19,680
Speaker 4: put a story that doesn't really exist around the emotion

695
00:38:19,840 --> 00:38:22,279
Speaker 4: what we feel in the moment that then becomes a

696
00:38:22,320 --> 00:38:23,480
Speaker 4: thing that never existed.

697
00:38:24,320 --> 00:38:27,120
Speaker 3: Yeah, we do that. We do that a lot. And

698
00:38:27,960 --> 00:38:30,799
Speaker 3: to quote Harps, I've heard you say this a lot.

699
00:38:30,880 --> 00:38:31,799
Speaker 3: Harps that the.

700
00:38:31,760 --> 00:38:34,200
Speaker 2: World is not as it is, it's how we see

701
00:38:34,200 --> 00:38:38,000
Speaker 2: it and how I see This experience of recording this

702
00:38:38,040 --> 00:38:40,600
Speaker 2: podcast with the two of you is going to be

703
00:38:40,600 --> 00:38:42,920
Speaker 2: a different experience for me because of everything I'm bringing

704
00:38:42,920 --> 00:38:45,799
Speaker 2: to the table here on a Tuesday at lunchtime. And

705
00:38:45,880 --> 00:38:50,560
Speaker 2: so when it comes like the mind actually is a

706
00:38:50,560 --> 00:38:52,040
Speaker 2: great storyteller, and.

707
00:38:53,640 --> 00:38:54,400
Speaker 5: That is.

708
00:38:55,920 --> 00:38:58,680
Speaker 2: Something that takes us away from the moment in which

709
00:38:58,760 --> 00:39:02,719
Speaker 2: we can enjoy the peace and the happiness that's available

710
00:39:02,800 --> 00:39:06,040
Speaker 2: for us, because the story that we start to tell

711
00:39:06,440 --> 00:39:11,600
Speaker 2: ourselves around an experience will really impact how we feel

712
00:39:11,600 --> 00:39:11,960
Speaker 2: about it.

713
00:39:12,600 --> 00:39:15,640
Speaker 3: And often we make a lot of stuff up. We

714
00:39:15,760 --> 00:39:16,959
Speaker 3: make a lot of stuff up.

715
00:39:17,719 --> 00:39:21,320
Speaker 2: Saying that our minds are like radio doom and gloom,

716
00:39:21,719 --> 00:39:25,759
Speaker 2: like there's just a whole lot of noise. And so

717
00:39:26,800 --> 00:39:29,359
Speaker 2: I think even just being aware that we can make

718
00:39:29,440 --> 00:39:33,319
Speaker 2: up a story around something and learn our patterns as well,

719
00:39:34,120 --> 00:39:37,520
Speaker 2: Like one of my patterns and I don't think it's

720
00:39:37,840 --> 00:39:40,480
Speaker 2: living with an anxiety disorder, it's just my temperament. I

721
00:39:40,560 --> 00:39:45,400
Speaker 2: think I'm a sensitive person and in over the years

722
00:39:45,520 --> 00:39:49,759
Speaker 2: when there'll be an experience whether or not I've had

723
00:39:49,800 --> 00:39:52,040
Speaker 2: an interaction with someone, or I've done a presentation or

724
00:39:52,040 --> 00:39:54,880
Speaker 2: I've done something, and I think one way about it,

725
00:39:55,719 --> 00:40:01,080
Speaker 2: and then in the interactions that ensue after that, because

726
00:40:01,120 --> 00:40:04,520
Speaker 2: of the way I'm thinking that they're reinforcing what I

727
00:40:04,640 --> 00:40:09,200
Speaker 2: believe because I'm looking for certain cues. You know, there

728
00:40:09,320 --> 00:40:15,000
Speaker 2: was something recently that happened. I thought i'd I thought

729
00:40:15,000 --> 00:40:17,520
Speaker 2: i'd possibly upset someone. I won't go into the details

730
00:40:17,560 --> 00:40:20,000
Speaker 2: that might be listening, but i'd had a little I'd

731
00:40:20,000 --> 00:40:23,920
Speaker 2: had a little, just a slight verbal exchange with somebody

732
00:40:24,120 --> 00:40:27,040
Speaker 2: and it wasn't rude or nasty or raised voices or anything,

733
00:40:27,080 --> 00:40:28,800
Speaker 2: but somebody had through a little barb and I just

734
00:40:28,880 --> 00:40:32,279
Speaker 2: threw a little barb back. And the next time I

735
00:40:32,360 --> 00:40:36,320
Speaker 2: saw that person, that was on my mind, and I'm like,

736
00:40:37,040 --> 00:40:38,920
Speaker 2: I wonder what this interaction is going to be like.

737
00:40:39,440 --> 00:40:42,840
Speaker 2: And then I'm thinking, well, just be mindful that you

738
00:40:42,920 --> 00:40:44,960
Speaker 2: don't create something out of nothing because of the way

739
00:40:45,000 --> 00:40:46,240
Speaker 2: you're approaching this situation.

740
00:40:48,239 --> 00:40:50,799
Speaker 3: And so I think when we can have that awareness of.

741
00:40:52,760 --> 00:40:56,120
Speaker 2: These things play out each and every day, and that

742
00:40:56,239 --> 00:40:58,680
Speaker 2: we can just take things at face value, do the

743
00:40:58,760 --> 00:41:00,840
Speaker 2: best we can to keep our tea and present in

744
00:41:00,960 --> 00:41:02,880
Speaker 2: the moment with the person that we're with or in

745
00:41:02,960 --> 00:41:04,040
Speaker 2: the situation.

746
00:41:03,719 --> 00:41:06,520
Speaker 3: That we're in. It just relieves us of all of that.

747
00:41:06,920 --> 00:41:10,759
Speaker 2: What if questioning all the storytelling which usually takes us

748
00:41:10,800 --> 00:41:16,040
Speaker 2: down a dark road. It's it's a really it's a

749
00:41:16,120 --> 00:41:17,759
Speaker 2: really powerful thing that we can all do. And I

750
00:41:17,880 --> 00:41:20,520
Speaker 2: worry that so many people are going to just miss

751
00:41:20,920 --> 00:41:24,440
Speaker 2: the beauty in every day, in an every ordinary day,

752
00:41:24,440 --> 00:41:27,120
Speaker 2: because that's really what a life's made up from, of

753
00:41:28,040 --> 00:41:33,360
Speaker 2: made up of are these ordinary days. Nothing special happens necessarily,

754
00:41:33,440 --> 00:41:36,680
Speaker 2: but that's that's what life is, and that when we're

755
00:41:36,760 --> 00:41:41,800
Speaker 2: constantly looking forward or making up stories around experiences, we're

756
00:41:42,320 --> 00:41:44,920
Speaker 2: not being able, We're not able to access what's right

757
00:41:45,040 --> 00:41:47,240
Speaker 2: there for us in that very moment where we're safe,

758
00:41:47,800 --> 00:41:51,759
Speaker 2: we're okay, we've probably got all of our needs met.

759
00:41:51,880 --> 00:41:53,719
Speaker 3: Most of us have all of our needs met really

760
00:41:53,760 --> 00:41:54,319
Speaker 3: all the time.

761
00:41:56,400 --> 00:42:00,040
Speaker 2: So yeah, it's it's a really good question, TIF and

762
00:42:00,120 --> 00:42:02,640
Speaker 2: I think if we can start by thinking about stepping

763
00:42:02,680 --> 00:42:05,480
Speaker 2: out of the side of ourselves and asking ourselves, what story.

764
00:42:05,239 --> 00:42:07,920
Speaker 3: Am I telling here? What am I making this mean?

765
00:42:08,320 --> 00:42:09,880
Speaker 3: Is a great way to think about it. What am

766
00:42:09,880 --> 00:42:10,759
Speaker 3: I making this mean?

767
00:42:11,600 --> 00:42:14,880
Speaker 2: And asking that question can often be enough to kind

768
00:42:14,920 --> 00:42:17,359
Speaker 2: of circuit break pull you out of where you were

769
00:42:17,400 --> 00:42:20,080
Speaker 2: headed and you can focus back in on the moment.

770
00:42:20,440 --> 00:42:21,719
Speaker 3: Yeah, I did it the other day.

771
00:42:21,760 --> 00:42:24,279
Speaker 4: I got up and I went, I've been going in

772
00:42:24,360 --> 00:42:26,600
Speaker 4: a two hour break on Mondays to the cafe to

773
00:42:26,719 --> 00:42:29,440
Speaker 4: do some work, taking my laptop and loving it. I

774
00:42:29,560 --> 00:42:33,440
Speaker 4: got there and I just felt flat tied, demotivated, and

775
00:42:33,520 --> 00:42:36,200
Speaker 4: I was like uninspired, and I'm like, oh, but I

776
00:42:36,480 --> 00:42:41,000
Speaker 4: noticed myself kind of go, oh, where's this going to go?

777
00:42:41,640 --> 00:42:43,880
Speaker 4: And then when I started processing, and I ended up

778
00:42:43,880 --> 00:42:46,080
Speaker 4: writing a post about it to process it for myself.

779
00:42:46,200 --> 00:42:48,160
Speaker 4: By the time I did that, it got me focused

780
00:42:48,719 --> 00:42:50,759
Speaker 4: and it dissipated and I just got on with it,

781
00:42:50,840 --> 00:42:55,320
Speaker 4: and it was interesting. It could have been the start

782
00:42:55,400 --> 00:42:57,279
Speaker 4: of just going into a funk for the day and

783
00:42:57,400 --> 00:42:59,440
Speaker 4: being a bit negative and miserable.

784
00:43:00,080 --> 00:43:01,400
Speaker 3: Yeah, for no reason.

785
00:43:02,040 --> 00:43:05,960
Speaker 2: Yeah, the post that you did, That's that's just the

786
00:43:06,200 --> 00:43:07,960
Speaker 2: best way, isn't it, to step out.

787
00:43:07,800 --> 00:43:09,799
Speaker 3: Of it and like go, what's actually happening here?

788
00:43:10,320 --> 00:43:13,799
Speaker 2: Yeah? And you know, like we're influenced, of course by

789
00:43:13,840 --> 00:43:16,000
Speaker 2: the circumstances, like if you'd had a flat battery and

790
00:43:16,040 --> 00:43:18,640
Speaker 2: you couldn't get your bike starting, you missed an appointment

791
00:43:18,680 --> 00:43:21,120
Speaker 2: and everything. Then we start telling our stories about how

792
00:43:21,160 --> 00:43:23,200
Speaker 2: we've let people down and what that means and what

793
00:43:23,280 --> 00:43:26,480
Speaker 2: we didn't get done. But like stepping out of it,

794
00:43:26,560 --> 00:43:28,719
Speaker 2: whether you're write a post or not, it's just to

795
00:43:29,040 --> 00:43:31,080
Speaker 2: think about it and not be swept away by it.

796
00:43:31,280 --> 00:43:36,680
Speaker 2: And it's you know, we build that muscle by practicing

797
00:43:36,760 --> 00:43:44,160
Speaker 2: more mindfulness. Yeah, something I'm really passionate about, as you

798
00:43:44,160 --> 00:43:46,640
Speaker 2: can tell, I suppose, but I'm rapped that you were

799
00:43:46,680 --> 00:43:48,120
Speaker 2: able to do that, and then you're sharing it with

800
00:43:48,200 --> 00:43:50,680
Speaker 2: other people, so it brings it to their attention as well,

801
00:43:50,800 --> 00:43:52,920
Speaker 2: so they can think differently about their own stuff.

802
00:43:54,400 --> 00:43:57,120
Speaker 1: Yeah, tif, Remember you and I have both spoken with

803
00:43:57,280 --> 00:44:04,920
Speaker 1: Joel Sardi. Oh yeah, And I remember it would have

804
00:44:04,960 --> 00:44:08,480
Speaker 1: been about this time last year, and I've done a

805
00:44:08,520 --> 00:44:12,040
Speaker 1: little bit of mentoring and hanging out with Joel. And

806
00:44:13,960 --> 00:44:18,640
Speaker 1: people who know me famously know or no that I

807
00:44:18,719 --> 00:44:22,160
Speaker 1: don't tend to travel. So if you live outside of

808
00:44:22,200 --> 00:44:28,640
Speaker 1: Hampton Man, bad luck. But Joel's a quadriplegic, right, so

809
00:44:28,800 --> 00:44:34,120
Speaker 1: I thought I got appompciate him that super selfish lazy

810
00:44:34,280 --> 00:44:36,920
Speaker 1: me even that I'm like, ah, fuck, really do I

811
00:44:37,120 --> 00:44:39,960
Speaker 1: have to go into the city to see you? Do

812
00:44:40,040 --> 00:44:43,520
Speaker 1: you not know? I don't travel? And like, of course

813
00:44:43,560 --> 00:44:47,640
Speaker 1: I was being a selfish prayer, right anyway, So I

814
00:44:47,840 --> 00:44:49,919
Speaker 1: went to meet him right in close to the sea

815
00:44:50,000 --> 00:44:52,320
Speaker 1: on Saint Kilda Road. I took a motorbike. It was

816
00:44:52,360 --> 00:44:56,640
Speaker 1: a beautiful day, and I will be honest, like I

817
00:44:56,800 --> 00:44:59,360
Speaker 1: wasn't like I wanted to see him, but there was

818
00:44:59,400 --> 00:45:01,600
Speaker 1: a tiny of resentment and a bit of like, why

819
00:45:01,680 --> 00:45:04,320
Speaker 1: don't you fucking come to me, Like a bit of

820
00:45:04,400 --> 00:45:06,919
Speaker 1: that like come come and help you. It doesn't work,

821
00:45:07,000 --> 00:45:10,680
Speaker 1: you should come. All that just complete selfish prick right anyway,

822
00:45:10,800 --> 00:45:13,600
Speaker 1: got in there, Joel, if you're listening, love you. Sorry.

823
00:45:14,400 --> 00:45:17,359
Speaker 1: Uh anyway, I got in there. I sat with him,

824
00:45:18,400 --> 00:45:20,920
Speaker 1: and it's the building that at that time he was

825
00:45:21,000 --> 00:45:23,000
Speaker 1: working in, you know, and he comes down in his

826
00:45:23,400 --> 00:45:28,480
Speaker 1: chair is kind of you know, and he's got he's

827
00:45:28,520 --> 00:45:31,480
Speaker 1: got some function with his arms, but he can't really

828
00:45:31,560 --> 00:45:34,640
Speaker 1: grip his hands. Ah, you know, he doesn't have full

829
00:45:34,719 --> 00:45:38,280
Speaker 1: normal kind of grip and extension or finger extension, inflexion

830
00:45:38,360 --> 00:45:40,719
Speaker 1: and all of that stuff, so he can't you know,

831
00:45:41,360 --> 00:45:45,400
Speaker 1: he's got limited capacity and obviously can't walk and Anyway,

832
00:45:45,520 --> 00:45:49,000
Speaker 1: we we spoke for about now, just about a range

833
00:45:49,000 --> 00:45:54,759
Speaker 1: of stuff and his attitude, which just it made me

834
00:45:54,960 --> 00:46:00,080
Speaker 1: feel ashamed of the shit that I bitch about. And

835
00:46:00,360 --> 00:46:02,839
Speaker 1: I don't think I bitch much, but do I ever

836
00:46:02,920 --> 00:46:08,120
Speaker 1: bit a bitch a bit more to myself than out loud.

837
00:46:08,239 --> 00:46:11,920
Speaker 1: But anyway, so we had a really good time and

838
00:46:12,560 --> 00:46:16,160
Speaker 1: he went back up to his thing, and without him

839
00:46:16,560 --> 00:46:19,920
Speaker 1: telling me anything or encouraging me or like nothing, we

840
00:46:20,120 --> 00:46:23,239
Speaker 1: just spoke. And as I walked to my motorbike, this

841
00:46:23,440 --> 00:46:28,040
Speaker 1: is so weird, I was almost crying. It was a

842
00:46:28,160 --> 00:46:31,520
Speaker 1: sunny day, some skilled road. I was walking through some trees,

843
00:46:32,360 --> 00:46:38,120
Speaker 1: and I'm like, I can walk, I can get up

844
00:46:38,239 --> 00:46:40,880
Speaker 1: out of the chair and I can just walk to

845
00:46:41,040 --> 00:46:45,880
Speaker 1: my motorbike and I can ride my motorbike home. And

846
00:46:46,040 --> 00:46:50,680
Speaker 1: he can never do that. Like if I said it's

847
00:46:50,719 --> 00:46:53,239
Speaker 1: going to cost you ten million dollars to be able

848
00:46:53,280 --> 00:46:55,440
Speaker 1: to do what I can, he'd go. He'd find a way,

849
00:46:56,080 --> 00:47:00,400
Speaker 1: I'm sure. And then it's like sometimes when you see something,

850
00:47:00,520 --> 00:47:03,320
Speaker 1: or you're in the middle of something, or you experience something,

851
00:47:04,360 --> 00:47:07,160
Speaker 1: then you get a perspective that you generally don't have.

852
00:47:08,239 --> 00:47:11,359
Speaker 1: I'm like, oh, yeah, I can walk. I can bend over,

853
00:47:11,440 --> 00:47:13,359
Speaker 1: I can pick something up off the ground. I can

854
00:47:13,400 --> 00:47:16,439
Speaker 1: walk upstairs. I can turn on a tap and there's

855
00:47:16,480 --> 00:47:18,600
Speaker 1: cold water. I can push a button and there's warm air.

856
00:47:18,640 --> 00:47:21,200
Speaker 1: I've got a house. I've got a house. I've got

857
00:47:21,239 --> 00:47:23,920
Speaker 1: a bed, I've got a car, I've got a motorbike.

858
00:47:24,520 --> 00:47:27,320
Speaker 1: I've got people that love me. I live in Melbourne.

859
00:47:27,760 --> 00:47:31,040
Speaker 1: How fuck I mean, might won the lottery. I won

860
00:47:31,120 --> 00:47:35,800
Speaker 1: the life lottery. Like, there's so much amazing shit that,

861
00:47:36,680 --> 00:47:39,000
Speaker 1: Which is not to say bad things don't happen to

862
00:47:39,080 --> 00:47:42,080
Speaker 1: people in Melbourne of course, or anywhere, but yeah, I

863
00:47:42,320 --> 00:47:45,480
Speaker 1: just think that for me, that working with people that

864
00:47:45,760 --> 00:47:48,080
Speaker 1: have really genuinely got it hard, as I said earlier,

865
00:47:48,160 --> 00:47:49,440
Speaker 1: you know, that's been the gift for me.

866
00:47:50,040 --> 00:47:55,200
Speaker 2: Yeah, And that's why gratitude. You know, it's no news

867
00:47:55,239 --> 00:47:58,359
Speaker 2: to anyone that gratitude, we know contributes to our state

868
00:47:58,400 --> 00:48:00,320
Speaker 2: of mind and our happiness. But it teaches us to

869
00:48:00,400 --> 00:48:03,560
Speaker 2: look for the good. So writing it down is one thing,

870
00:48:03,680 --> 00:48:07,279
Speaker 2: but it trains your brain to start noticing all the

871
00:48:07,320 --> 00:48:10,800
Speaker 2: good stuff you've got going on. And sometimes it takes

872
00:48:10,840 --> 00:48:14,839
Speaker 2: seeing someone who hasn't to go wow, Like I take

873
00:48:15,000 --> 00:48:15,960
Speaker 2: so much for granted.

874
00:48:16,080 --> 00:48:18,120
Speaker 3: We all it takes so much for.

875
00:48:18,200 --> 00:48:21,880
Speaker 2: Granted, and you just have to sprain your pinky to

876
00:48:22,000 --> 00:48:24,800
Speaker 2: realize how much you rely on every single digit on

877
00:48:24,880 --> 00:48:28,080
Speaker 2: your hand to you know, to function normally in a day.

878
00:48:30,560 --> 00:48:31,600
Speaker 3: So, yeah, I met Joel.

879
00:48:31,680 --> 00:48:36,480
Speaker 2: We spoke at the fundraiser event together, you, me and

880
00:48:36,600 --> 00:48:38,399
Speaker 2: Joel and If as well.

881
00:48:38,680 --> 00:48:39,879
Speaker 3: Yes, yes, oh.

882
00:48:39,840 --> 00:48:42,759
Speaker 1: Yeah, that's right, all four of us. I want to

883
00:48:42,880 --> 00:48:44,759
Speaker 1: just bring it back full circle. I just want to

884
00:48:44,800 --> 00:48:46,320
Speaker 1: talk about one thing quickly.

885
00:48:46,480 --> 00:48:52,759
Speaker 5: And there's why I've got blue teeth. No, you leave

886
00:48:52,800 --> 00:48:57,279
Speaker 5: that out there. People can wonder, yeah, well, because she's

887
00:48:57,640 --> 00:48:58,200
Speaker 5: an alien.

888
00:49:00,400 --> 00:49:06,680
Speaker 1: But I wanted to thinking about the almost the what's

889
00:49:06,719 --> 00:49:11,440
Speaker 1: the word, the friction between biofeedback, you know, what our

890
00:49:11,480 --> 00:49:13,920
Speaker 1: body's telling us that I believe we've kind of turned

891
00:49:13,920 --> 00:49:18,680
Speaker 1: off from most of us and tech feedback. It's like

892
00:49:19,640 --> 00:49:23,160
Speaker 1: I feel like we would trust the technology more than

893
00:49:23,200 --> 00:49:27,160
Speaker 1: the biology. And like even when and Tip's done that,

894
00:49:27,320 --> 00:49:30,080
Speaker 1: and I've done that, you know where her body's gone. Nah,

895
00:49:30,160 --> 00:49:32,400
Speaker 1: you're good, And then she looks at something and then

896
00:49:32,480 --> 00:49:35,640
Speaker 1: she believes there's something not her own body. But it's

897
00:49:35,680 --> 00:49:38,600
Speaker 1: so easy to do because we're so tech regulated.

898
00:49:40,040 --> 00:49:43,200
Speaker 2: It's some introception, is the sense that we have to

899
00:49:43,280 --> 00:49:46,839
Speaker 2: be able to tune into and interpret what feelings we're

900
00:49:46,880 --> 00:49:53,000
Speaker 2: having in our body. Yes, and not everybody can tune

901
00:49:53,080 --> 00:49:57,640
Speaker 2: in well and recognize and understand and interpret well, some

902
00:49:57,760 --> 00:50:03,279
Speaker 2: people more than others. And you know, we've like, you're

903
00:50:03,360 --> 00:50:08,240
Speaker 2: so right, We've got this incredible brain body, this system

904
00:50:08,480 --> 00:50:12,080
Speaker 2: that is constantly giving us feedback. We're very good at

905
00:50:12,800 --> 00:50:17,320
Speaker 2: tuning it out and being influenced by less by what

906
00:50:17,440 --> 00:50:20,000
Speaker 2: we need and what we know will make a difference

907
00:50:20,080 --> 00:50:23,360
Speaker 2: for us, and more by what we might take our

908
00:50:23,400 --> 00:50:28,080
Speaker 2: fancy in the moment, or what we might feel like doing,

909
00:50:28,920 --> 00:50:31,920
Speaker 2: Like should go out for a walk after dinner. It's

910
00:50:32,040 --> 00:50:34,840
Speaker 2: really good for you because your blood sugars and your

911
00:50:34,880 --> 00:50:38,200
Speaker 2: heart health and fresh air and all that. But I

912
00:50:38,320 --> 00:50:42,759
Speaker 2: feel like watching Netflix. It's yeah, what we feel like

913
00:50:43,960 --> 00:50:47,520
Speaker 2: can influence our decisions, but the information is often there.

914
00:50:48,160 --> 00:50:49,560
Speaker 3: I mean, you just got to go to the toilet,

915
00:50:49,680 --> 00:50:53,759
Speaker 3: and when you check the color of your Wii in

916
00:50:53,800 --> 00:50:56,520
Speaker 3: the loof, it's too dark. You dehydrated, Like, there's constant

917
00:50:56,600 --> 00:50:57,600
Speaker 3: feedback all day.

918
00:50:58,080 --> 00:51:00,120
Speaker 2: Bringing it back back around to where we start out

919
00:51:00,120 --> 00:51:04,440
Speaker 2: of this conversation to talk about testicles slightly removed, but

920
00:51:05,040 --> 00:51:08,760
Speaker 2: it's there's feedback all day, but we're so so much noise,

921
00:51:08,760 --> 00:51:11,920
Speaker 2: and there's so much outside influence, and we're so distracted.

922
00:51:12,760 --> 00:51:14,960
Speaker 2: We don't we don't read the benefits of tuning in

923
00:51:15,239 --> 00:51:17,600
Speaker 2: and then making decisions based.

924
00:51:17,440 --> 00:51:18,960
Speaker 3: On what it is that we're noticing.

925
00:51:20,000 --> 00:51:21,759
Speaker 1: When you say you go to the toilet, I was

926
00:51:21,880 --> 00:51:26,200
Speaker 1: so hoping you're going to talk about Pooh. I just

927
00:51:26,440 --> 00:51:27,480
Speaker 1: got so excited and.

928
00:51:27,560 --> 00:51:30,920
Speaker 3: She goes to fucking worrying number ones.

929
00:51:31,640 --> 00:51:33,680
Speaker 1: Come back, come back when you want to talk about Pooh.

930
00:51:33,719 --> 00:51:37,479
Speaker 1: Doctr Jody has a new product on the market. Here's

931
00:51:37,520 --> 00:51:40,279
Speaker 1: a shameless fucking plug. So if you don't want to

932
00:51:40,320 --> 00:51:44,600
Speaker 1: hear it, stay around and hear it anyway. Well, hello,

933
00:51:44,800 --> 00:51:49,920
Speaker 1: Anxiety pod Deck. It's an anxiety toolkit for parents. It's beautiful,

934
00:51:49,960 --> 00:51:54,480
Speaker 1: it's amazing. It's very very very high quality. It's it's

935
00:51:54,520 --> 00:51:57,279
Speaker 1: pretty fancy. Tell people what it is and where they

936
00:51:57,400 --> 00:51:59,360
Speaker 1: can get it, and yes, this is a blatant plug.

937
00:52:01,120 --> 00:52:03,799
Speaker 1: What is it? Where can they get it? And well

938
00:52:03,880 --> 00:52:05,240
Speaker 1: done on it? It looks amazing.

939
00:52:05,680 --> 00:52:09,000
Speaker 3: Oh, thank thank you, Harps. I'm actually really really proud

940
00:52:09,040 --> 00:52:09,160
Speaker 3: of it.

941
00:52:09,320 --> 00:52:13,080
Speaker 2: It's just under two years in the making because of

942
00:52:13,120 --> 00:52:15,759
Speaker 2: a lot of research and then as you can see,

943
00:52:15,880 --> 00:52:20,719
Speaker 2: each card is just really curated and refined so that

944
00:52:20,800 --> 00:52:23,160
Speaker 2: it's easy to read, easy to act on.

945
00:52:24,440 --> 00:52:27,400
Speaker 3: It's a deck with five sec five sections, or five sets.

946
00:52:28,600 --> 00:52:30,640
Speaker 3: The set one is understanding anxiety.

947
00:52:30,960 --> 00:52:34,800
Speaker 2: Set two is a big set of signs and symptoms

948
00:52:35,280 --> 00:52:38,080
Speaker 2: and you know, harps, I don't know if you're aware,

949
00:52:38,120 --> 00:52:42,520
Speaker 2: but it can be years, like eight to ten, sometimes

950
00:52:42,640 --> 00:52:46,520
Speaker 2: more years between somebody having first signs of anxiety and

951
00:52:46,640 --> 00:52:51,000
Speaker 2: getting professional help. And we know that half of all

952
00:52:51,160 --> 00:52:53,359
Speaker 2: mental honess starts by the age of fourteen. So these

953
00:52:53,400 --> 00:52:56,440
Speaker 2: are for parents and educators and health professionals to use

954
00:52:56,520 --> 00:53:01,040
Speaker 2: to work with young people. But simply with the symptoms cards,

955
00:53:01,080 --> 00:53:04,640
Speaker 2: you can just sort them, Yes, my teenager struggles with this, No,

956
00:53:04,719 --> 00:53:06,640
Speaker 2: they don't with that, And eventually you've got a nice

957
00:53:06,640 --> 00:53:09,160
Speaker 2: little pile of what anxiety looks like for that person,

958
00:53:10,680 --> 00:53:12,520
Speaker 2: which you can take to the doctor if you're worried

959
00:53:12,680 --> 00:53:15,440
Speaker 2: and show them that this is what's happening, or at

960
00:53:15,520 --> 00:53:18,680
Speaker 2: least help the young person know actually this is anxiety.

961
00:53:19,800 --> 00:53:23,160
Speaker 3: The third set is strategies to help them manage it.

962
00:53:23,600 --> 00:53:26,440
Speaker 2: In the fourth and fifth sets, so other ways you know,

963
00:53:26,560 --> 00:53:30,800
Speaker 2: the parent or teacher or grown up can help. And

964
00:53:30,840 --> 00:53:32,680
Speaker 2: the last set is other ways that I can help,

965
00:53:32,719 --> 00:53:34,120
Speaker 2: and they're available on my website.

966
00:53:35,360 --> 00:53:38,000
Speaker 1: They are and they're beautiful, and it's very clever and

967
00:53:38,440 --> 00:53:42,400
Speaker 1: it's a good idea. But I think I like that

968
00:53:42,600 --> 00:53:45,920
Speaker 1: it's a physical or something, you know, in the days

969
00:53:45,960 --> 00:53:49,800
Speaker 1: of non physical somethings and virtual everythings, I love a

970
00:53:49,840 --> 00:53:55,680
Speaker 1: physical something. So where can people find you? Will Hallow

971
00:53:55,800 --> 00:53:59,120
Speaker 1: Anxiety is the podcast, of course, and where else can

972
00:53:59,160 --> 00:54:01,880
Speaker 1: they find you and buy these little suckers?

973
00:54:02,880 --> 00:54:05,719
Speaker 2: My website is doctor Jodi Richardson dot com. So you

974
00:54:05,760 --> 00:54:10,160
Speaker 2: can just jump into the shop. Yeah, you can jump

975
00:54:10,239 --> 00:54:13,439
Speaker 2: in on Instagram to say hello or to yeah follow

976
00:54:13,520 --> 00:54:15,879
Speaker 2: me there and connect LinkedIn as well.

977
00:54:16,239 --> 00:54:18,560
Speaker 3: I'm all around. It's not hard to find me these days,

978
00:54:18,560 --> 00:54:19,120
Speaker 3: which is good.

979
00:54:19,920 --> 00:54:22,680
Speaker 1: And just to be clear, if you jump in today

980
00:54:22,920 --> 00:54:26,280
Speaker 1: and buy them, there'll be no discount. So jump in today,

981
00:54:26,680 --> 00:54:30,879
Speaker 1: There'll be just for today, no discount. If you put

982
00:54:30,920 --> 00:54:34,600
Speaker 1: in the code Craig Anthony Harper c AH then you

983
00:54:34,640 --> 00:54:39,400
Speaker 1: will get a zero percent discount. You're welcome. Welcome and

984
00:54:39,600 --> 00:54:42,360
Speaker 1: say we give you nothing here. We literally give you

985
00:54:42,480 --> 00:54:43,040
Speaker 1: nothing here.

986
00:54:43,640 --> 00:54:47,000
Speaker 2: I Am going to step in and say if you

987
00:54:47,200 --> 00:54:51,160
Speaker 2: use the code launch ten, you'll get ten percent off.

988
00:54:51,360 --> 00:54:57,800
Speaker 1: So I'm alluding to that at all. I actually Wasn't

989
00:54:58,200 --> 00:54:58,640
Speaker 1: I know you?

990
00:54:58,760 --> 00:54:59,759
Speaker 2: Wouldn't I know you?

991
00:55:00,239 --> 00:55:03,080
Speaker 3: But yeah, there's a launch disc and code. So for

992
00:55:03,200 --> 00:55:06,160
Speaker 3: your listeners' harps, go for it.

993
00:55:06,920 --> 00:55:09,719
Speaker 1: Oh gid it up, butter Cup, we'll say goodbye our

994
00:55:09,760 --> 00:55:12,320
Speaker 1: fair but Tiffany and Cook. Nice contribution. I'll give you

995
00:55:12,400 --> 00:55:14,960
Speaker 1: a B plus. I'm leaving you scope for improvement, but

996
00:55:15,080 --> 00:55:15,560
Speaker 1: well done.

997
00:55:15,800 --> 00:55:18,040
Speaker 3: I'll go work on that and I'll come back better

998
00:55:18,120 --> 00:55:19,640
Speaker 3: next time. Harps, thank you very much.

999
00:55:19,719 --> 00:55:22,680
Speaker 1: I will. Thanks Jody, thank you both.

1000
00:55:22,800 --> 00:55:23,680
Speaker 3: Thanks Harpsier