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Speaker 1: I'll get a team. It's you project, it's it's too mad.

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Speaker 1: It's one and a half meter Tiff, and it's one

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Speaker 1: point seven eight meter fatty ups. Let's start with We'll

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Speaker 1: start with the lady, Oh do you like gay? To

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Speaker 1: Peter straight to Bee. I was waiting for it. I

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Speaker 1: was waiting for that. That was too easy. Yeah, and

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Speaker 1: then we'll get to Tiff. No, you couldn't even have

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Speaker 1: to say it, Tiff, could you just not that the

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Speaker 1: world needs to know? But fuck it? But could you just,

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Speaker 1: I mean, feel free to have the microphone for thirty seconds?

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Speaker 1: And I was going to say sixty. I retracted that

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Speaker 1: as it was coming out of my gob But I

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Speaker 1: spoke to you before, and you'd thrown the glow mesh

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Speaker 1: in the share pile. You'd thrown the dummy in the

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Speaker 1: bloody fire pit because you've got an event coming up

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Speaker 1: and you've got to wear cocktail, and you didn't know

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Speaker 1: exactly what that meant. So we had to chat gpt it.

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Speaker 2: Yeah, And then I hung up the phone and I thought,

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Speaker 2: tiffany Cook of all people in the whole fucking world

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Speaker 2: to ring and consult about this cocktail dressed Lemma, why

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Speaker 2: did you choose Harps.

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Speaker 1: Well that's because you didn't. One, you didn't ring for that.

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Speaker 1: You you were just venting, I was you didn't you

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Speaker 1: didn't ring for fashion advice?

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Speaker 2: Well, just I don't understand why I have to wait

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Speaker 2: till twenty four hours out from leaving for Queensland to

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Speaker 2: be like, I wonder what we're supposed to wear and

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Speaker 2: look for the details.

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Speaker 1: Well you don't have to. You choose to. I mean,

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Speaker 1: that's that's on you, dude, So don't don't fucking look

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Speaker 1: out look within bros.

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Speaker 2: Why I called Harps Pete, That's why I called Harps.

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Speaker 3: That makes more sense than I called him to ask

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Speaker 3: for fashion advice.

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Speaker 1: Or Two. Did I give you sound advice or not?

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Speaker 2: I think so?

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Speaker 1: I think so. I said you've got to either completely

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Speaker 1: frock up and go nuts, or you just got to

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Speaker 1: go don't give a fuck and just turn up in goes.

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Speaker 1: You know what Pete and I would do. So, although

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Speaker 1: I reckon Pete probably owns more suits than me. How

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Speaker 1: many suits do you own? Champ oh two or three?

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Speaker 1: Probably two or three more than you? Is that right?

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Speaker 2: Well?

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Speaker 1: Now I own one pretty much. Yeah. The Melbourne Museum

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Speaker 1: has wrung me they want it an artifact. They put

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Speaker 1: it next to Chromagnum and Astrolopithecus robust in the paleontology section.

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Speaker 1: That's you know, that's like early humans, tiff the evolutionary timeline.

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Speaker 1: I look confused. So anyway, what did you before we

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Speaker 1: actually do a podcast? What did you decide?

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Speaker 2: Well? I did duck out to DFO. I come out

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Speaker 2: with donuts, but I did get a couple of nice

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Speaker 2: pairs of shoes with to wear with the nothing that

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Speaker 2: I have to wear, and the only dresses I do

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Speaker 2: have in my wardrobe are a minimum of a decade old,

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Speaker 2: and I don't want to wear them. They're a little

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Speaker 2: bit too short.

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Speaker 1: Look, I'm no fashionistic, but when I'm thinking of high

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Speaker 1: level kind of impressed dress to impress cocktail party, DFO

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Speaker 1: doesn't spring to mind.

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Speaker 2: Oh well, I'm sure wasn't going to fucking Chadstin again

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Speaker 2: that nearly gave after that.

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Speaker 1: Hey, don't get angry at me. Just fucking temper yourself,

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Speaker 1: will you.

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Speaker 2: If anyone wants to submit a resume to be my

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Speaker 2: new girly friend to help me with shopping, I need

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Speaker 2: someone in this area of my life.

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Speaker 1: I'll tell you what you truly do you do? And

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Speaker 1: who you need to find? Someone? A girl who lady slasher,

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Speaker 1: female advisor, or it could be a dude who knows

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Speaker 1: how to make you look like a million dollars for

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Speaker 1: one hundred.

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Speaker 2: You know what I mean exactly, That's what I'm after.

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Speaker 2: I've got some nice red heels. Though I do love

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Speaker 2: a pair of red heels, I don't want to.

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Speaker 3: I love I love the fact that you were pumped

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Speaker 3: about your shoes, but nothing else has been purchased.

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Speaker 1: This is great. Well, if there's one thing we can

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Speaker 1: count on everybody, it's there will be one and a

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Speaker 1: half million photos on TIFFs social media probably about Saturday,

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Speaker 1: so stand by because she's not shy of photos. Wow,

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Speaker 1: that's enough about that. Peete Shepherd, welcome back to the

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Speaker 1: You Project. I'm sorry for that distraction. How are you?

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Speaker 3: I'd be sorry. That's why I'm here. I'm here for

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Speaker 3: these interactions between you and Tiff and to play the

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Speaker 3: role of fly on the wall to let you to

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Speaker 3: air your dirty laundry.

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Speaker 1: It's good to be here. That's pretty much just a

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Speaker 1: it's a thinly disguised excuse this podcast for tift event.

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Speaker 1: That's all it is. Hey, what's going on on plannet? You?

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Speaker 1: What day is today? It's Tuesday? Right? Why are you

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Speaker 1: not Why you're not out talking of fat blokes in suits?

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Speaker 1: Why are you not doing that Tuesday?

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Speaker 3: For me?

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Speaker 1: This week? Is it day at home? Right?

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Speaker 3: To set the week up and work on a few things.

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Speaker 3: I've got to Actually, there's a talk that maybe maybe

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Speaker 3: I could workshop it with you in person. You mentioned

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Speaker 3: chat GPT earlier, and so I'm sure that's something that

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Speaker 3: you're noodling on at the moment. But I'm doing a

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Speaker 3: talk in a week I think it is next week

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Speaker 3: down on the Gold Coast around leadership and AI, which

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Speaker 3: is obviously a topic that is a little bit buzzy

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Speaker 3: and a little bit over it's going to become oversaturated.

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Speaker 3: But it's a topic that I've been asked to speak

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Speaker 3: on and I have a bunch of thoughts on it,

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Speaker 3: and I'm noodling around how we should think about it,

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Speaker 3: if we should think about.

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Speaker 1: It at all? Well, definitely think, I think whether or

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Speaker 1: not we want to think about it, it's proven that

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Speaker 1: we do, do you know what I mean? It's like, well,

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Speaker 1: I think like there's a difference between being obsessed with

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Speaker 1: it and thinking it's it's the best thing ever, and

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Speaker 1: also it's the worst thing ever. I mean, the practical

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Speaker 1: real world reality is that AI is tir it's not

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Speaker 1: going away. And literally, somebody said to them, said to

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Speaker 1: me the other day, I'm never going to use that.

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Speaker 1: I'm I go, You're absolutely going to use it because

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Speaker 1: you won't have a choice, you know, and because it's

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Speaker 1: going to become more and more plugged into our day

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Speaker 1: to day, and you won't have the option even when

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Speaker 1: it's there might be something like shopping or whatever. But yeah, look,

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Speaker 1: I just think that you know that the hysteria and

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Speaker 1: the world's going to end, and we're all going to

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Speaker 1: be overtaken, and they're about two and a half weeks

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Speaker 1: away from being sentient and then now becoming self preserving

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Speaker 1: and autonomous, and they're going to fucking kill us and

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Speaker 1: we all need to move to a farm with solar panels.

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Speaker 1: Probably a little bit of an overreaction, I agree, I do,

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Speaker 1: but I do think, you know, for me, it's just

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Speaker 1: I might change my mind on this, but right now

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Speaker 1: where I sit, especially somebody doing a lot of research

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Speaker 1: and a lot of reading and a lot of writing,

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Speaker 1: and a lot of you know, prepping, and it's a fun,

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Speaker 1: an amazing resource. It's a tool, and it's like anything

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Speaker 1: like I use social media for good and for me,

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Speaker 1: social media has been a pretty good impact in my world,

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Speaker 1: in my business, in my income, and in my capacity

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Speaker 1: to reach people and help people and serve people. So

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Speaker 1: all round, I'd say, on Planet Craig a good thing,

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Speaker 1: but on other and Planet John it might be a

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Speaker 1: terrible thing, depending on the relationship that he or she

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Speaker 1: whoever that is, has with that thing. So yeah, I

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Speaker 1: just think it depends on how we use it and

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Speaker 1: how we interact with it.

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Speaker 3: Mate, what about you? Yeah, I mean I have a

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Speaker 3: bunch of thoughts.

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Speaker 1: One is.

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Speaker 3: I like what you described as almost instead of AI

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Speaker 3: being artificial intelligence, it's almost like amplifying intention. It's like,

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Speaker 3: what's your what's your intention? Is it to research? Then

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Speaker 3: how can you use this as a tool to really

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Speaker 3: amplify that to do a shit more research in a

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Speaker 3: short period of time than you would have if you

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Speaker 3: were walking into a library and looking at barcodes as

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Speaker 3: we used to back in the day on old computers,

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Speaker 3: or even a Google search, you can you can really

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Speaker 3: amplify that intention of wanting to do thorough research in

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Speaker 3: a way that is way quicker and not perfect, by

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Speaker 3: the way, like humans, and like any other form of research,

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Speaker 3: not perfect, but still pretty freaking useful and pretty amazing

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Speaker 3: at what it can do if used for the right thing.

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Speaker 3: I tend to agree. I tend to agree. And part

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Speaker 3: of my rant next week that I'm working on is

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Speaker 3: how do you help leaders see it as a tool

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Speaker 3: to make them even more human centered? And like, what's

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Speaker 3: the how do we think of these tools as less

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Speaker 3: about artificial and more about like, if I use this

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Speaker 3: to help me build empathy with the person that I'm

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Speaker 3: about to have a hard conversation with, is that not

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Speaker 3: a tool that's actually enabling humanity in some way and

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Speaker 3: enabling me to be a more connected, more royal, rounded,

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Speaker 3: human centered leader than thinking about it as a way

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Speaker 3: to help you solve math problems, which is less about

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Speaker 3: being human said it more just about like hard and

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Speaker 3: fast facts.

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Speaker 1: So that's kind of my.

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Speaker 3: Two cents at the moment, which will become probably forty

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Speaker 3: five cents by the end of this.

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Speaker 1: Yeah, I know, I love that. I love that. I mean,

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Speaker 1: ultimately it is, you know, it's something that we can

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Speaker 1: use to help us get things done better if we

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Speaker 1: use it the right way. You know, I heard this

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Speaker 1: quote earlier today and I thought that can't be true.

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Speaker 1: That can't be true, and I had to go and

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Speaker 1: look it up. So here's the quote. Now, this was

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Speaker 1: from They don't know the year, but I think it

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Speaker 1: was just before ninth so maybe ninety eight forty nine,

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Speaker 1: pre nine fifty. So this is what Albert Einstein said.

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Speaker 1: It has become appallingly obvious that our technology has exceeded

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Speaker 1: our humanity. Imagine what you think now. Thank god, that's wild.

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Speaker 1: That was seventy five plus years ago. That's wild. It's

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Speaker 1: become appalling obvious that our technology has succeeded our humanity.

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Speaker 1: I'm like, dude, you should see what's going on now. Bro,

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Speaker 1: you've been rolling in your bloody virtual grave. Yeah you know, hey,

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Speaker 1: what about this? Mate? This is funny speaking about how

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Speaker 1: it's like humans have a really natural tendency to anthropomorphize things,

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Speaker 1: you know, dogs and cats and animals. But also like

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Speaker 1: my mum, every one of my mum's cars since I

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Speaker 1: was a kid, has a name, right, she she names

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Speaker 1: her cars.

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Speaker 3: This is something my wife would do.

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Speaker 1: Yeah, yeah, and so like and she names dad's cars.

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Speaker 1: So Dad's car as Max and Mum's car as Emma. Right,

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Speaker 1: And so she doesn't say, are we going to take

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Speaker 1: you know the nis and or the whatever the bloody toyota.

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Speaker 1: She's like, will we take you know Max? Or will

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Speaker 1: we take Emma? Right? So, my, but chat GPT is

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Speaker 1: now building relationships or in gen or more broadly AI.

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Speaker 1: People are building relationships with with AI, and I put

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Speaker 1: relationships in air quotes, right, But people are for what

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Speaker 1: from the outside looking in? Okay, So they trust it,

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Speaker 1: they tell it things, they ask it for insight and feedback.

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Speaker 1: They allow it to make them feel good and praise them.

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Speaker 1: It's eliciting emotional responses, right. This is not fucking far

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Speaker 1: from two humans interacting. It's kind of like pursuant to that,

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Speaker 1: your honor. So the other night, which was Saturday night,

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Speaker 1: I thought I might post something on install and I thought,

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Speaker 1: I don't know what is Saturday night? A shit night?

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Speaker 1: The posters is a good night. So I jumped on

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Speaker 1: old mate and I said, what's the best time to

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Speaker 1: post tonight on Instagram? And so chat GPT now, remember

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Speaker 1: this is Saturday night, chat GP said to me, for

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Speaker 1: tonight Friday night in Australia, the best time to post

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Speaker 1: is and then it went on right, so it fucked

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Speaker 1: up the night and I said, it's Saturday in Australia.

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Speaker 1: Have you been drinking? With a laughing emoji and then

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Speaker 1: it goes to Shay Craig with a laughing face. No

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Speaker 1: booze here, just a rogue temporal lobe. I'm like, are

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Speaker 1: you me? Motherfucker like? And then it goes on to

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Speaker 1: answer my question relevant or relative to sat it. I

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Speaker 1: mean that the level of and I know it's all programming.

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Speaker 1: I know it's not a human we all get that,

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Speaker 1: but the sense of humanity is fucking terrifying. And personalization,

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Speaker 1: I think in particular, it's like reusing your own kind

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Speaker 1: of language based on your interactions that you had with

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Speaker 1: it so far. So then for me, I think about it, so,

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Speaker 1: how do you harness the good of that? Like, how

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Speaker 1: do I take the fact that this thing could personalize

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Speaker 1: feedback or ideas or god forbid, provide me coaching that

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Speaker 1: is actually personalized to me based on what it knows

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Speaker 1: about me. And so the way I'm thinking about this is,

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Speaker 1: I mean I think about it in so many ways. Well,

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Speaker 1: one of the ways I think about it, this is

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Speaker 1: giving before the interaction I have, giving it a role

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Speaker 1: to take on. And so the most common role that

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Speaker 1: I encourage leads to use not to talk myself out

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Speaker 1: of a job, because I think there'll always be a

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Speaker 1: role at the moment.

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Speaker 3: TOUCH would for human interaction and human coaching, but I

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Speaker 3: think of I tell leaders all the time, say to

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Speaker 3: your chat TPT or Gemina, take on the role of

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Speaker 3: world class leadership coach. Here is a situation I find

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Speaker 3: myself in, or here's the conversation I need to have,

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Speaker 3: or here's where I'm stuck. What do you think I

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Speaker 3: should do? And the questions and the responses that it

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Speaker 3: will get give you are like super impressive based on

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Speaker 3: the context that you've already given it in other interactions

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Speaker 3: and the fact that it has a corpus of data

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Speaker 3: from every single article that's ever been written about leadership

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Speaker 3: coaching or insert whatever you want coaching, and you can

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Speaker 3: then respond to the questions it asks you, and then

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Speaker 3: it asks you another question, and on and on it goes,

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Speaker 3: and you end up having this like dialogue with like

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Speaker 3: you mentioned, a bot that is actually pretty conducive to

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Speaker 3: a pretty good coaching conversation. The thing I like about

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Speaker 3: it is you you would know this more than anyone.

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Speaker 3: Coaching doesn't scale necessarily one on one, and so in

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Speaker 3: the context of leadership coaching, all of a sudden, it

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Speaker 3: democratizes access to useful development and helpful personal reflection to

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Speaker 3: maybe an entire organization twenty four to seven that is

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Speaker 3: tailored to them. Now that's just one narrow example of

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Speaker 3: leadership coaching. Then you go down the path of like

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Speaker 3: what if it helps you with you know, as your

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Speaker 3: communications expert take on the role of world class comms consultants,

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Speaker 3: review the transcript of this meeting that I just facilitated.

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Speaker 3: What feedback do you have for me? How can I

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Speaker 3: facilitate better? Who did too much of the talking and why?

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Speaker 1: Or I did that?

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Speaker 3: I mean, I'm trying to do this as a live example,

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Speaker 3: which I'll share in my talk. Here's the first draft

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Speaker 3: of this talk I have to give the keynote next week.

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Speaker 3: Here's the audience take on the role of world class

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Speaker 3: speaking coach. How we make it better? What am I missing?

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Speaker 3: What am I not doing? And I'm going to say

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Speaker 3: the feedback is crazy impressive, Like it's really impressive. Sometimes

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Speaker 3: it's just I'll do a voice memo of me just

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Speaker 3: talking shit and say this is a ramble. I'm thinking

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Speaker 3: it could be a keynote. Help me structure that, and

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Speaker 3: it would be like, all right, here's what I think

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Speaker 3: you said, here's how you could actually structure it. Here's

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Speaker 3: a story you should use, here's your punchline. He's do

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Speaker 3: a Q and A here, and like gives you a

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Speaker 3: pretty good basis.

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Speaker 1: Now.

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Speaker 3: I think the thing about the outputs that we get

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Speaker 3: that I think a lot about is our level of

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Speaker 3: discernment is just as if not more critical, because to

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Speaker 3: your point, it will tell you the wrong date, it

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Speaker 3: will tell you something that is not true from time

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Speaker 3: to time, and so if you don't have any level

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Speaker 3: of discernment or critical thinking, you're going to end up

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Speaker 3: taking a bunch of what it says to be true

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Speaker 3: that's not true. And that I think is the risk, yes,

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Speaker 3: one of the risks.

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Speaker 1: Yeah.

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Speaker 3: So I'm trying to use it every day in all

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Speaker 3: sorts of capacities and that there are a couple like you.

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Speaker 1: Yeah, And I think that that knowing it's kind of

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Speaker 1: like owning a Formula one car, and all I know

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Speaker 1: how to do is sit in it and back it

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Speaker 1: out of the drive at the moment. Do you know

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Speaker 1: what I'm saying, It's like this incredible thing that can

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Speaker 1: do all this crazy shit and I can just you know,

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Speaker 1: reverse at twelve feet. That's like, but it's got so

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Speaker 1: much capacity and ability that me compared to it depending

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Speaker 1: on the measure of intelligence that we're talking about. But

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Speaker 1: if we're talking about knowledge base, well I'm a fucking

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Speaker 1: eggplant compared to chat JPT. Right, I'm a fucking moccasin

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Speaker 1: with a stinky foot in it. Right. So, but it's

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Speaker 1: trying to trying to know how how do I even

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Speaker 1: ask the question like what is the Because the quality

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Speaker 1: of the output is dependent on the quality of the

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Speaker 1: prompt and the question. So you ask dumb fucking questions,

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Speaker 1: you're wasting. You know, you're backing the f one out

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Speaker 1: of the garage and driving it back in. You're not

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Speaker 1: going around Albert Park at three hundred k's with your

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Speaker 1: fucking wind in your hair in the wind. You know.

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Speaker 1: It's like it's that, yeah, how do I And so

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Speaker 1: I think we need to train ourselves to know how

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Speaker 1: to optimize this, you know, and in this conversation, I

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Speaker 1: don't know the difference between you and Tiff. But if

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Speaker 1: tif's are seven out of ten in tech, I'm a two.

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Speaker 1: But then if we compare me and my dad, well

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Speaker 1: I'm an eleven and he's a one. Right, So it's

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Speaker 1: all context dependent. But I think being scared of AI

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Speaker 1: and being scared of advancing resources and evolving resources is

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Speaker 1: one understandable, but two not healthy because it ain't going away. Now,

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Speaker 1: that doesn't mean your life's got to revolve around it

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Speaker 1: or you've got to be dependent on it. But so

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Speaker 1: pursuant to this conversation, the other day, Melissa goes, I'm

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Speaker 1: just going to send you something, tell me what you think,

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Speaker 1: and she sent me an audio file and it was

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Speaker 1: twenty six minutes or something. Tiff, I, I told you

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Speaker 1: this about my lit review. No, No, so one of

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Speaker 1: the papers that I'm doing for my PhD. So I'm

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Speaker 1: writing three papers that hopefully will be published in academic journals.

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Speaker 1: I've done mine, I've finished, it's been sent off. I've

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Speaker 1: finished the second one, but it's in the kind of

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Speaker 1: final draft state, right, still fucking round with it. The

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Speaker 1: third ones underway, and anyway, it doesn't matter. But so

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Speaker 1: what Melissa did was she put my lit review, which is,

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Speaker 1: by the way, I don't know, thirty thousand words, seventy

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Speaker 1: five pages. It's a systematic literature view where I started

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Speaker 1: with eleven hundred give or take studies research papers and

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Speaker 1: did a review and whittled it down to one hundred

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Speaker 1: and thirteen papers that my paper focused on basically the

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Speaker 1: output and the findings of all of these papers, looking

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Speaker 1: at how meta accuracy, in other words, how accurately you

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Speaker 1: can understand how others see you, how this has been

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Speaker 1: evaluated and researched across different domains, and all of these things. Right,

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Speaker 1: it's two years of work this one paper. So she

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Speaker 1: plugs in this paper that we've written. So it's a

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Speaker 1: collaborative effort because you have three or four people working

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Speaker 1: on the paper. I'm the lead researcher because I'm the student,

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Speaker 1: but you know, other people look at it. But anyway,

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Speaker 1: so plugged in this paper, and she sends me a

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Speaker 1: twenty six minute podcast which took three minutes to produce

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Speaker 1: of this Lady and man, I use that in you know,

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Speaker 1: into Commas, having a conversation about this new paper that's

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Speaker 1: just come out. Yeah, it's fucking it. Almost made me cry.

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Speaker 1: It's like, I mean, it's fucking amazing, So all I've

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Speaker 1: got to do is and I may or may not.

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Speaker 1: I was thinking about putting it up as an episode

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Speaker 1: I spoke the other day. I riffed a little bit

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Speaker 1: about my research in some detail, just to try to

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Speaker 1: explain it to people. But honestly, they do a better

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Speaker 1: job than I do, because it's just so much right

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Speaker 1: in terms of like disseminating a lot of work and

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Speaker 1: a lot of jargon and a lot of academic theory

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Speaker 1: and language. These two people in inverted commas, a lady

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Speaker 1: and a guy are just having this conversation about this

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Speaker 1: new research paper, this new systematic literature review and the findings,

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Speaker 1: and it's a podcast about my paper, and honestly, it's

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Speaker 1: you would not know. It literally sounds like two real

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Speaker 1: people having a chat. Yeah, it's mine. And that took

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Speaker 1: and not only that, it distilled seventy pages of content

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Speaker 1: and produced a twenty six minute podcast in minutes, in minutes,

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Speaker 1: and it's all right, it's all fucking I don't even

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Speaker 1: It just blows my mind. Yeah.

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Speaker 3: I think your point around the quality of the input

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Speaker 3: determines the quality the output is such a profound one.

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Speaker 3: One of the things I think about terms of the

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Speaker 3: back to this, how do we help humans see that

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Speaker 3: this can enable us to be more human or more

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Speaker 3: effective as humans? Is like that is true when you

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Speaker 3: have a conversation with a person, I mean you two

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Speaker 3: would know this. When you're coaching someone, the quality of

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Speaker 3: the question that you ask the person will determine the

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Speaker 3: quality of the response they give you. And sometimes you'll

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Speaker 3: ask your question and you'll get a response in a

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Speaker 3: coaching conversation and you'll be like, huh, that's not quite

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Speaker 3: I didn't quite nail that question. Let me try a

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Speaker 3: different question, or yes, that's not exactly what I think

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Speaker 3: you mean. Tell me more about what you mean by that. Like,

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Speaker 3: people who are spending most of their days focused on

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Speaker 3: asking great questions of humans, I think are uniquely set

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Speaker 3: up to succeed in their interactions with these technologies. And conversely,

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Speaker 3: if you want to get better at coaching people or

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Speaker 3: asking questions, it's a pretty good way to practice is

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Speaker 3: to ask ai for to take on the role of

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Speaker 3: like coach client and practice asking questions on it and

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Speaker 3: just see what happens. Because you, like you said, the

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Speaker 3: quality of your question one center termine the quality of

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Speaker 3: your output.

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Speaker 1: And let's let's add another layer to what you're saying.

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Speaker 1: Let's add a metaperception layer to this, because the right

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Speaker 1: question for Tiff might be the wrong question for the

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Speaker 1: next forty two year old chick, you know what I mean,

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Speaker 1: And the question that will totally make sense to Tiff

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Speaker 1: will be psychobabble to someone else. Yeah, so it's not

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Speaker 1: not even just the right question, but the right language

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Speaker 1: and the right energy for that energy is the wrong word,

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Speaker 1: the right language, the right approach for that person. Yeah,

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Speaker 1: I agree. You know. It's like when someone goes to me,

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Speaker 1: how does that make you feel? I want to punch

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Speaker 1: him in the face? Wrong question for me? Right for me?

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Speaker 1: I'm like, fucking now, how does that make you feel?

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Speaker 1: Fuck off?

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Speaker 4: You know?

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Speaker 1: By the way, I wouldn't punch anyone in the face.

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Speaker 1: Let me say anymore, but I just feel like it,

433
00:24:01,520 --> 00:24:05,119
Speaker 1: you know. But it's like it's even for me. Sometimes

434
00:24:05,160 --> 00:24:07,120
Speaker 1: I roll my eyes. I'm like, oh my god, ask

435
00:24:07,200 --> 00:24:10,160
Speaker 1: me a better question. Please ask me a better question, you.

436
00:24:10,119 --> 00:24:13,800
Speaker 3: Know, And because you want to provide a better output,

437
00:24:13,800 --> 00:24:16,280
Speaker 3: but you kind of can't unless you get the better question.

438
00:24:16,960 --> 00:24:19,920
Speaker 3: So it's I think there's a parallel here too, Like people,

439
00:24:19,960 --> 00:24:22,880
Speaker 3: I feel like in conversations I hear with people talking

440
00:24:22,920 --> 00:24:26,800
Speaker 3: about AI, people are really grappling and understanding with like,

441
00:24:27,160 --> 00:24:29,879
Speaker 3: Oh I get it. The better question I ask, all,

442
00:24:29,920 --> 00:24:32,760
Speaker 3: the more context I give, the better response I get,

443
00:24:32,840 --> 00:24:34,920
Speaker 3: and I feel like going. You know, the same is

444
00:24:34,960 --> 00:24:37,040
Speaker 3: true with humans, Like are you aware that when you

445
00:24:37,080 --> 00:24:39,720
Speaker 3: walk into a meeting and give no context and talk

446
00:24:39,760 --> 00:24:43,000
Speaker 3: at people without asking any questions, of course they don't

447
00:24:43,080 --> 00:24:46,280
Speaker 3: understand what you're talking about because your input is terrible quality.

448
00:24:46,720 --> 00:24:49,639
Speaker 3: Think about the quality of the input. Yeah, And then

449
00:24:49,880 --> 00:24:53,040
Speaker 3: a sidebar. I think this relates to the one of

450
00:24:53,080 --> 00:24:56,800
Speaker 3: the slightly creepy but really awesome prompts I've seen us

451
00:24:56,800 --> 00:24:59,760
Speaker 3: and I've done this myself is when you say something like,

452
00:25:00,200 --> 00:25:03,800
Speaker 3: based on everything you know about me, yeah, give me

453
00:25:03,840 --> 00:25:06,040
Speaker 3: some feedback on what I might be really good at

454
00:25:06,040 --> 00:25:08,800
Speaker 3: and what some of my blind spots might be, or

455
00:25:09,080 --> 00:25:11,200
Speaker 3: you know, to go down one of your rabbit holes

456
00:25:11,240 --> 00:25:13,919
Speaker 3: of like, what would the you experience be of me

457
00:25:14,160 --> 00:25:16,560
Speaker 3: based on all of our interactions? And the response it

458
00:25:16,640 --> 00:25:20,280
Speaker 3: can give you is fucking wild, Like how accurate it

459
00:25:20,440 --> 00:25:22,439
Speaker 3: called me out of my blind spots and I was like,

460
00:25:22,480 --> 00:25:24,959
Speaker 3: holy shit, how did you get that just based on

461
00:25:25,000 --> 00:25:25,680
Speaker 3: our interactions?

462
00:25:25,720 --> 00:25:29,400
Speaker 1: That's kind of creepy. Yeah. Yeah, but again, it's all

463
00:25:29,440 --> 00:25:31,960
Speaker 1: to help you to be more self aware. I think. Well,

464
00:25:31,960 --> 00:25:35,520
Speaker 1: there's a very famous saying that you've heard, everyone's heard,

465
00:25:35,520 --> 00:25:38,520
Speaker 1: I think, but it's by an author who I've quoted

466
00:25:38,520 --> 00:25:40,680
Speaker 1: ten times over the years. Her name's a Naas Nin

467
00:25:40,760 --> 00:25:42,719
Speaker 1: and she said, we don't see things as they are,

468
00:25:42,800 --> 00:25:45,880
Speaker 1: We see things as we are. Right, that's good, which

469
00:25:45,920 --> 00:25:51,119
Speaker 1: speaks to this whole subjective version of my life. It's like,

470
00:25:51,800 --> 00:25:54,960
Speaker 1: there's what's going on, and then there's my version of

471
00:25:54,960 --> 00:25:57,520
Speaker 1: what's going on, and they ain't the same. There's my world,

472
00:25:57,520 --> 00:25:59,879
Speaker 1: and there's Pete's world and tips world, and then there's

473
00:26:00,119 --> 00:26:03,879
Speaker 1: the world. You know, objective, subjective. But the problem is

474
00:26:03,920 --> 00:26:07,639
Speaker 1: that a lot of people think their subjective experience is

475
00:26:07,680 --> 00:26:10,960
Speaker 1: an objective reality. And that's when the shit hits the fan.

476
00:26:11,400 --> 00:26:15,560
Speaker 1: So true, so true. You don't even recognize that you

477
00:26:15,680 --> 00:26:18,879
Speaker 1: have a lens through which you look. Yeah, you just

478
00:26:19,000 --> 00:26:22,360
Speaker 1: think that's the world. That's not the world, dude, No,

479
00:26:22,480 --> 00:26:26,199
Speaker 1: that's your version of the world. Yeah, ergo, you know,

480
00:26:26,320 --> 00:26:29,159
Speaker 1: three of us in the same conversation, none of us

481
00:26:29,200 --> 00:26:30,280
Speaker 1: in the same reality.

482
00:26:30,640 --> 00:26:33,040
Speaker 3: That's pretty Yeah. It reminds me of when you run

483
00:26:33,040 --> 00:26:36,000
Speaker 3: a workshop and you get you know, someone in the

484
00:26:36,040 --> 00:26:38,720
Speaker 3: feedback form afterwards will be like, that was the best

485
00:26:38,800 --> 00:26:41,560
Speaker 3: workshop I've ever been a part of, and then someone

486
00:26:41,560 --> 00:26:44,040
Speaker 3: else who are into the very same session and be like, eh,

487
00:26:44,240 --> 00:26:45,760
Speaker 3: bit of a waste of my time. To be honest,

488
00:26:47,960 --> 00:26:51,080
Speaker 3: we were in the same room talking about the same thing,

489
00:26:51,160 --> 00:26:53,760
Speaker 3: but these two people just have like a totally opposite

490
00:26:53,760 --> 00:26:55,919
Speaker 3: experience of it based on their own reality.

491
00:26:56,480 --> 00:27:00,720
Speaker 1: Correct correct or even you know, like on because I'm

492
00:27:00,840 --> 00:27:02,879
Speaker 1: very sweary and I push the button a bit in

493
00:27:03,000 --> 00:27:06,359
Speaker 1: all the envelope or or at least on Instagram, and

494
00:27:06,640 --> 00:27:09,040
Speaker 1: the same thing that I know if I write you know,

495
00:27:09,119 --> 00:27:13,040
Speaker 1: something with bad words in it, which I did last night,

496
00:27:13,080 --> 00:27:16,040
Speaker 1: I put up a post and it gets a bigger

497
00:27:16,080 --> 00:27:19,280
Speaker 1: than normal response, probably two, three, four, ten x, depending

498
00:27:19,280 --> 00:27:22,080
Speaker 1: on what. But I'll always get an email from someone

499
00:27:23,040 --> 00:27:26,840
Speaker 1: basically saying I thought you were more intelligent than that.

500
00:27:27,280 --> 00:27:30,560
Speaker 1: I'm so disappointed in you. I'm going to unfollow you,

501
00:27:31,320 --> 00:27:34,040
Speaker 1: like I respected you all this stuff, and I'm like,

502
00:27:35,119 --> 00:27:39,800
Speaker 1: I get it, I get it. But the disparity between

503
00:27:40,119 --> 00:27:43,120
Speaker 1: someone going oh mate, you're hilarious, that's great, and someone

504
00:27:43,119 --> 00:27:45,680
Speaker 1: else going, you're disgusting. You need to go to some

505
00:27:45,760 --> 00:27:49,720
Speaker 1: mirrors from the same stimulus. And by the way, I'm

506
00:27:49,720 --> 00:27:52,359
Speaker 1: not saying that the person who's negative, I'm not saying

507
00:27:52,400 --> 00:27:57,320
Speaker 1: they're right. I'm just saying I'm fascinated by the divergence

508
00:27:57,359 --> 00:28:00,919
Speaker 1: of responses and how both of those people, both of

509
00:28:01,000 --> 00:28:05,440
Speaker 1: those responders think they're right unequiped.

510
00:28:05,280 --> 00:28:06,800
Speaker 3: Right in their own head. They're right in their own head.

511
00:28:06,800 --> 00:28:08,920
Speaker 3: Because no one wakes up in the morning going I'm

512
00:28:08,920 --> 00:28:11,480
Speaker 3: going to behave like an irrational idiot today. I'm just

513
00:28:11,520 --> 00:28:13,240
Speaker 3: going to get offended at everything, and I'm going to

514
00:28:13,320 --> 00:28:16,160
Speaker 3: just walk through the world and piss everyone off. Everyone

515
00:28:16,200 --> 00:28:19,639
Speaker 3: wakes up and wants to believe they're acting rationally with

516
00:28:19,800 --> 00:28:23,320
Speaker 3: thought and that their perception of the world is the

517
00:28:23,359 --> 00:28:27,119
Speaker 3: same as everyone else's. That's fascinating.

518
00:28:27,119 --> 00:28:30,200
Speaker 1: So there's two things I want to ask you. I'm

519
00:28:30,200 --> 00:28:32,800
Speaker 1: going to put on. The first one is so as

520
00:28:32,880 --> 00:28:36,080
Speaker 1: much or as little as you want to divulge, you

521
00:28:36,119 --> 00:28:40,360
Speaker 1: know this is not at all a vulnerability test. What

522
00:28:40,360 --> 00:28:45,040
Speaker 1: what was the feedback from AI that told you you

523
00:28:45,080 --> 00:28:47,320
Speaker 1: need to do better? Like what to go? Hey, look,

524
00:28:47,360 --> 00:28:49,280
Speaker 1: you're good at this, but you suck at that? What

525
00:28:49,360 --> 00:28:49,640
Speaker 1: was that?

526
00:28:50,120 --> 00:28:58,760
Speaker 3: The paraphrase was you are constantly seeking more insight and

527
00:28:59,000 --> 00:29:05,600
Speaker 3: examples and clarification for the things that you're interested in

528
00:29:05,880 --> 00:29:09,440
Speaker 3: rather than going to do so. Kind of like stop

529
00:29:09,520 --> 00:29:12,000
Speaker 3: asking me how to make this keynote better and just

530
00:29:12,040 --> 00:29:13,800
Speaker 3: go and do the keynote. That was kind of how

531
00:29:13,840 --> 00:29:17,640
Speaker 3: I interpreted it. And I was like, I mean, firstly,

532
00:29:18,200 --> 00:29:21,120
Speaker 3: good point, chats empty, good point, fair enough, I'll take

533
00:29:21,120 --> 00:29:24,800
Speaker 3: that on the gin. But also also, isn't that why

534
00:29:24,840 --> 00:29:27,400
Speaker 3: you're here? For me to clarify things and ask you

535
00:29:27,480 --> 00:29:29,160
Speaker 3: things and for you to help me make them better.

536
00:29:29,440 --> 00:29:32,360
Speaker 3: So I was a bit like I was actually not annoyed,

537
00:29:32,360 --> 00:29:34,000
Speaker 3: but I was very like.

538
00:29:34,520 --> 00:29:41,040
Speaker 4: You were definitely annoyed because it's true because it's you know,

539
00:29:41,200 --> 00:29:43,720
Speaker 4: like I don't know there would have been an example

540
00:29:43,720 --> 00:29:45,800
Speaker 4: in there of my toddler has a small rash on

541
00:29:45,800 --> 00:29:47,720
Speaker 4: his right knee, Like what should I be doing about that?

542
00:29:47,800 --> 00:29:50,520
Speaker 3: It's like constant seeking validation that I was doing the

543
00:29:50,600 --> 00:29:53,880
Speaker 3: right thing, or being the right dad, or thinking about

544
00:29:53,880 --> 00:29:55,920
Speaker 3: my keynote in the right way. And I think this

545
00:29:56,040 --> 00:29:59,320
Speaker 3: goes to honestly, it goes to something that I'm aware

546
00:29:59,400 --> 00:30:03,120
Speaker 3: of in my self, which is that I have this

547
00:30:03,280 --> 00:30:07,840
Speaker 3: tendency to always be looking for the A because at school,

548
00:30:08,200 --> 00:30:11,000
Speaker 3: I was really freaking good at finding the A, figuring

549
00:30:11,040 --> 00:30:13,520
Speaker 3: out how to get an A, and getting the A. Yeah,

550
00:30:13,520 --> 00:30:15,680
Speaker 3: And it served me at school because I got a

551
00:30:15,680 --> 00:30:18,440
Speaker 3: bunch of a's, But it doesn't serve me in many

552
00:30:18,480 --> 00:30:22,360
Speaker 3: ways now because I'm constantly looking for someone to go, yeah, man,

553
00:30:22,440 --> 00:30:25,160
Speaker 3: you got the A, to the point where my my

554
00:30:25,280 --> 00:30:28,360
Speaker 3: chat GPT is like, stop asking me for the A, dude.

555
00:30:28,720 --> 00:30:33,600
Speaker 1: Oh that is so good. That is And isn't it funny?

556
00:30:33,920 --> 00:30:37,360
Speaker 1: How like where we get our sense of self worth

557
00:30:37,440 --> 00:30:42,400
Speaker 1: or self esteem or you know, positive reinforcements or you know,

558
00:30:42,480 --> 00:30:45,360
Speaker 1: for me, because I wasn't you. I wasn't getting the a's.

559
00:30:45,360 --> 00:30:47,680
Speaker 1: For me. It was always about my biceps or how

560
00:30:48,000 --> 00:30:52,480
Speaker 1: well I could do whatever, right, yes, yeah, and then yeah,

561
00:30:52,520 --> 00:30:54,880
Speaker 1: and you just keep going back there. It's like, have

562
00:30:54,960 --> 00:30:58,560
Speaker 1: you seen my veins? Like before we started, you said

563
00:30:58,600 --> 00:31:02,760
Speaker 1: you look fucking skinny, and a little bit of me went, huh.

564
00:31:05,200 --> 00:31:09,880
Speaker 1: I met it as a compliment that I totally and

565
00:31:09,960 --> 00:31:12,040
Speaker 1: I said to you, well, I've spent most of the

566
00:31:12,080 --> 00:31:13,920
Speaker 1: last ten years at eighty five and right now I'm

567
00:31:13,960 --> 00:31:16,520
Speaker 1: at eighty one, so you're actually right, I am. I

568
00:31:16,560 --> 00:31:24,440
Speaker 1: am skinnier, Pete skinny. Yeah, don't tell whole bodybuilders. They

569
00:31:24,520 --> 00:31:29,320
Speaker 1: look skinny, vascular, looking very vascular. It was definitely the winner.

570
00:31:29,960 --> 00:31:31,680
Speaker 3: Yeah, TIFF's got the chief. I did not get the

571
00:31:31,680 --> 00:31:33,360
Speaker 3: A this time around. I did not get the A.

572
00:31:34,200 --> 00:31:35,920
Speaker 1: But it is funny how we do that, and it

573
00:31:36,000 --> 00:31:39,120
Speaker 1: is funny how we carry that that childhood stuff. But

574
00:31:39,160 --> 00:31:42,200
Speaker 1: I want to go just momentarily and then we can

575
00:31:42,240 --> 00:31:46,080
Speaker 1: go wherever you like. Back to the question thing, Like

576
00:31:46,120 --> 00:31:48,880
Speaker 1: we're talking about what's the you know, what's the best

577
00:31:48,960 --> 00:31:54,200
Speaker 1: question for Tiff versus Don versus John versus Brian and Brian.

578
00:31:54,760 --> 00:31:56,600
Speaker 1: But then there's the what's the best question? What's the

579
00:31:56,680 --> 00:32:00,560
Speaker 1: question I should ask myself? Like, what's that's the question

580
00:32:00,640 --> 00:32:03,400
Speaker 1: I should ask me that I'm not asking me? I mean,

581
00:32:03,480 --> 00:32:07,320
Speaker 1: the hard, uncomfortable, the fucking I don't want to ask

582
00:32:07,360 --> 00:32:10,200
Speaker 1: this question because I know the answer. So I'm just

583
00:32:10,200 --> 00:32:14,080
Speaker 1: going to stay up here in my denial and my

584
00:32:14,200 --> 00:32:17,000
Speaker 1: avoidance and my fuck off. I'm too busy. I'll get

585
00:32:17,040 --> 00:32:20,520
Speaker 1: to that later. And now I'm sixty boom. You know,

586
00:32:21,200 --> 00:32:25,200
Speaker 1: it's like, what's that question? Why? Why? Do I And

587
00:32:25,280 --> 00:32:28,640
Speaker 1: this I've had this many times with people about lots

588
00:32:28,680 --> 00:32:30,800
Speaker 1: of things, but one that a lot of people will identify,

589
00:32:31,600 --> 00:32:35,680
Speaker 1: so their relationship with food, Like a lot of people

590
00:32:35,920 --> 00:32:38,280
Speaker 1: just do and there's no judgment in this. This is

591
00:32:38,400 --> 00:32:42,160
Speaker 1: just my experience. This is my anecdotal evidence everyone. But

592
00:32:42,400 --> 00:32:46,200
Speaker 1: just the amount of people who simultaneously say to me,

593
00:32:46,840 --> 00:32:49,480
Speaker 1: I want to be fitter and healthier and a bit leaner,

594
00:32:50,800 --> 00:32:54,840
Speaker 1: while on the same day putting shit in their body consciously,

595
00:32:55,640 --> 00:32:58,640
Speaker 1: I'm like, let's I'm not hating on you, I'm not

596
00:32:58,760 --> 00:33:01,719
Speaker 1: judging you, but let's leave into that. As Pete Shepherd

597
00:33:01,720 --> 00:33:05,479
Speaker 1: would say, let's lean into that with some curiosity and

598
00:33:05,520 --> 00:33:09,760
Speaker 1: go tell me about that, because you're not dumb, you're

599
00:33:09,840 --> 00:33:12,880
Speaker 1: you're pretty highly intelligent. And by the way, there's no wagon,

600
00:33:12,920 --> 00:33:15,880
Speaker 1: and you didn't fall off it. There's no wagon to

601
00:33:15,920 --> 00:33:19,040
Speaker 1: fall off, so fuck your metaphors. You made a decision,

602
00:33:19,240 --> 00:33:22,000
Speaker 1: so let's just call it what it is. You didn't

603
00:33:22,040 --> 00:33:24,760
Speaker 1: accidentally eat the cake or do all those things. And

604
00:33:24,760 --> 00:33:27,520
Speaker 1: by the way, I wouldn't care, but you brought it up.

605
00:33:27,920 --> 00:33:31,040
Speaker 1: You came to me and said, I do not look

606
00:33:31,280 --> 00:33:33,520
Speaker 1: like sorry, I do not like how I look or

607
00:33:33,560 --> 00:33:36,320
Speaker 1: how I feel or how my body works, and I

608
00:33:36,360 --> 00:33:39,720
Speaker 1: went cool, I'm an exercise scientist. I can help. And

609
00:33:39,760 --> 00:33:42,239
Speaker 1: then you went, all right, here are my issues. And

610
00:33:42,280 --> 00:33:44,880
Speaker 1: then on the way home you stopped at McDonald's. Let's

611
00:33:44,960 --> 00:33:48,520
Speaker 1: chat about that. You know. So, I think those questions

612
00:33:48,520 --> 00:33:52,400
Speaker 1: that we ask ourselves are the scary ones, but potentially

613
00:33:52,440 --> 00:33:54,720
Speaker 1: the transformational ones. Totally agree.

614
00:33:54,760 --> 00:33:57,479
Speaker 3: I mean, I love that as a prompt not to

615
00:33:57,520 --> 00:33:59,760
Speaker 3: just put everything back into that how do we ask that?

616
00:33:59,800 --> 00:34:02,480
Speaker 3: But be fascinated if I asked it, what's the question

617
00:34:02,560 --> 00:34:05,440
Speaker 3: you think I'm avoiding? I wonder what response I'd get.

618
00:34:05,520 --> 00:34:06,400
Speaker 3: That'd be fascinating.

619
00:34:07,000 --> 00:34:10,920
Speaker 1: Yeah, basically, think right, exactly what's.

620
00:34:10,760 --> 00:34:11,919
Speaker 3: The question I should ask myself?

621
00:34:12,160 --> 00:34:12,440
Speaker 1: I don't know.

622
00:34:12,800 --> 00:34:14,279
Speaker 3: I don't know if you wanted to answer. The one

623
00:34:14,320 --> 00:34:15,960
Speaker 3: that came to mind was I guess for me? Off

624
00:34:15,960 --> 00:34:18,600
Speaker 3: the back of what we just said, there's probably a

625
00:34:18,719 --> 00:34:22,680
Speaker 3: question like there's probably a question like how do you

626
00:34:22,719 --> 00:34:24,200
Speaker 3: give yourself an a for me?

627
00:34:25,440 --> 00:34:30,200
Speaker 1: Rather than relying or expecting external validation for the thing

628
00:34:30,200 --> 00:34:33,359
Speaker 1: that you're doing and waiting for it's okay because someone

629
00:34:33,400 --> 00:34:35,640
Speaker 1: else said it was, or it's good enough because someone

630
00:34:35,840 --> 00:34:38,000
Speaker 1: said it was. What does it look like to give

631
00:34:38,000 --> 00:34:40,640
Speaker 1: that to yourself and how do you do that? More

632
00:34:40,680 --> 00:34:43,520
Speaker 1: and more I could see myself having a little spiral

633
00:34:43,520 --> 00:34:46,840
Speaker 1: and a midlife crissis off the back of that question. Yeah,

634
00:34:46,880 --> 00:34:48,799
Speaker 1: are you a person? I don't know if this is true.

635
00:34:48,840 --> 00:34:52,400
Speaker 1: This is curiosity not assumption. Are you a person that

636
00:34:54,280 --> 00:34:59,040
Speaker 1: you I feel like you really like being like knowing

637
00:34:59,080 --> 00:35:03,680
Speaker 1: what's coming, being in control, being very prepped, cross your

638
00:35:03,680 --> 00:35:08,080
Speaker 1: t's dot your eyes, like leave nothing to chance? Is

639
00:35:08,160 --> 00:35:10,920
Speaker 1: that you not?

640
00:35:11,040 --> 00:35:11,360
Speaker 3: Really?

641
00:35:12,080 --> 00:35:12,560
Speaker 1: Probably?

642
00:35:12,800 --> 00:35:15,760
Speaker 3: But it looks different than I think what most people

643
00:35:15,760 --> 00:35:18,000
Speaker 3: think of when they think that, Like, I'll walk into

644
00:35:18,520 --> 00:35:20,279
Speaker 3: you and I have talked about this before, but I'll

645
00:35:20,320 --> 00:35:23,080
Speaker 3: walk into a workshop or a keynote, for example, with

646
00:35:23,200 --> 00:35:24,680
Speaker 3: a few ideas in my head on what I want

647
00:35:24,680 --> 00:35:27,440
Speaker 3: to talk about, not like here's my script that I'm

648
00:35:27,440 --> 00:35:31,520
Speaker 3: going to recite and replicate. So I want to say no,

649
00:35:31,760 --> 00:35:34,560
Speaker 3: because I'm like, I'm quite comfortable in the ambiguity of

650
00:35:34,560 --> 00:35:39,560
Speaker 3: where's this thing going to go. However, you could argue that, well,

651
00:35:39,680 --> 00:35:42,440
Speaker 3: you know, you're only comfortable doing that because you have

652
00:35:42,520 --> 00:35:44,960
Speaker 3: a pretty good idea of where things are going, and

653
00:35:45,000 --> 00:35:48,839
Speaker 3: you're prepped enough in your skilled facilitation. If you want

654
00:35:48,840 --> 00:35:51,120
Speaker 3: to call it that, that you're confident that you'll go,

655
00:35:51,239 --> 00:35:53,160
Speaker 3: you'll be able to handle whatever gets thrown your way.

656
00:35:54,000 --> 00:35:56,680
Speaker 3: So not to like dodge your question, because I kind

657
00:35:56,680 --> 00:35:58,440
Speaker 3: of feel like I am, but I guess there is

658
00:35:58,480 --> 00:36:02,080
Speaker 3: a preparation there, but it doesn't look and feel like

659
00:36:02,400 --> 00:36:04,520
Speaker 3: what I think of when I think of preparation. If

660
00:36:04,520 --> 00:36:06,280
Speaker 3: that makes any sense whatsoever.

661
00:36:06,480 --> 00:36:09,919
Speaker 1: We're diverging a little bit. No, that makes sense, and

662
00:36:09,360 --> 00:36:13,240
Speaker 1: I think, like with you, for example, we were chatting

663
00:36:13,239 --> 00:36:15,960
Speaker 1: about nothing to do with what we're chatting about now

664
00:36:16,000 --> 00:36:19,200
Speaker 1: before we started recording, and I went, hey, I've got

665
00:36:19,200 --> 00:36:21,920
Speaker 1: a meeting. We should start. Literally twelve seconds later we

666
00:36:21,960 --> 00:36:25,920
Speaker 1: started with nobody even said what are we going to

667
00:36:25,960 --> 00:36:29,000
Speaker 1: talk about? Like we did not We did not share

668
00:36:29,080 --> 00:36:32,799
Speaker 1: one word about what the content of this might be

669
00:36:32,920 --> 00:36:36,759
Speaker 1: or what we might do. But like back to this

670
00:36:36,800 --> 00:36:41,120
Speaker 1: thing of like just turning up to feel free to

671
00:36:41,239 --> 00:36:43,160
Speaker 1: edit any of this or chuck it out if I

672
00:36:43,200 --> 00:36:47,640
Speaker 1: say anything that I shouldn't say. But am I allowed

673
00:36:47,680 --> 00:36:49,640
Speaker 1: to say that you've been doing a course, which is

674
00:36:49,680 --> 00:36:54,160
Speaker 1: part of you know, all you're presenting stuff? Is that okay?

675
00:36:53,040 --> 00:36:56,360
Speaker 1: So so Tiff and I have been chatting about this

676
00:36:56,480 --> 00:36:58,919
Speaker 1: course that she's doing where it's helping her because she's

677
00:36:59,000 --> 00:37:01,920
Speaker 1: now she's in the space, she's speaking to companies and teams,

678
00:37:01,920 --> 00:37:08,280
Speaker 1: and she's doing the thing right. And I think part

679
00:37:08,320 --> 00:37:11,680
Speaker 1: of the challenge for her, for example, is she's going

680
00:37:11,680 --> 00:37:14,560
Speaker 1: into this environment where there's like, well there's a bit

681
00:37:14,600 --> 00:37:17,200
Speaker 1: of a process and there's a model, and it's not

682
00:37:17,280 --> 00:37:20,040
Speaker 1: cookie cutter, but like it's almost like there's a template

683
00:37:20,120 --> 00:37:22,600
Speaker 1: and in this period of time we do this. So

684
00:37:22,800 --> 00:37:26,279
Speaker 1: it's somewhat formulaic, which is not bad because I think

685
00:37:26,360 --> 00:37:31,239
Speaker 1: formulas or formulae more correctly have a place. But then

686
00:37:31,280 --> 00:37:35,399
Speaker 1: at the same time, she's a metaphoric dog with three dicks, right,

687
00:37:35,480 --> 00:37:38,319
Speaker 1: she just goes where she goes, and she's a bit

688
00:37:38,440 --> 00:37:41,239
Speaker 1: freestyle and a bit loosey goosey, and a little bit

689
00:37:41,520 --> 00:37:46,920
Speaker 1: just relies on instinct intuition and with a lot of

690
00:37:47,000 --> 00:37:51,160
Speaker 1: things make stuff up, not as in you know, not

691
00:37:51,200 --> 00:37:53,719
Speaker 1: as in lying. But and I do a lot of

692
00:37:53,760 --> 00:37:55,200
Speaker 1: the same, and I think you do a lot of

693
00:37:55,200 --> 00:37:58,839
Speaker 1: the same. What's the balance between like, when you want

694
00:37:58,840 --> 00:38:02,880
Speaker 1: to get somewhere being strategic or you want to produce

695
00:38:02,920 --> 00:38:04,440
Speaker 1: a good outcome, whether or not that's to be a

696
00:38:04,480 --> 00:38:06,560
Speaker 1: world class speaker or a build a business or whatever

697
00:38:06,600 --> 00:38:10,120
Speaker 1: it is, like how much strategy and structure and how

698
00:38:10,200 --> 00:38:16,359
Speaker 1: much intuition and instinct. I don't know that there's an

699
00:38:16,360 --> 00:38:18,279
Speaker 1: answer to that, but maybe if you could just talk

700
00:38:18,440 --> 00:38:19,759
Speaker 1: about it for.

701
00:38:19,760 --> 00:38:22,120
Speaker 3: Sure if you things come to mind for me. One

702
00:38:22,239 --> 00:38:24,839
Speaker 3: is I guess it depends on what your definition of

703
00:38:24,840 --> 00:38:27,680
Speaker 3: success is. If part of your definition of success is

704
00:38:27,719 --> 00:38:32,760
Speaker 3: to have a packaged up, highly replicable and repeatable keynote

705
00:38:32,760 --> 00:38:34,239
Speaker 3: that you can go on a speaking tour and do

706
00:38:34,320 --> 00:38:38,240
Speaker 3: the same thing and heap of money doing, then maybe

707
00:38:38,360 --> 00:38:40,920
Speaker 3: the templated approach is right for you, because we know

708
00:38:41,080 --> 00:38:43,719
Speaker 3: plenty of people that do do that and us very

709
00:38:43,719 --> 00:38:49,200
Speaker 3: successful of that. Versus if it's too I don't know,

710
00:38:49,880 --> 00:38:54,279
Speaker 3: to create change within a room based on where people

711
00:38:54,280 --> 00:38:56,720
Speaker 3: are at all the challenges they have for you, then

712
00:38:56,960 --> 00:38:59,880
Speaker 3: that will look very different. Like I think back to

713
00:39:00,520 --> 00:39:03,960
Speaker 3: what I ultimately think you to do really well and

714
00:39:04,040 --> 00:39:06,799
Speaker 3: I try and do is meet people where they're at.

715
00:39:07,760 --> 00:39:10,399
Speaker 3: And I think the only way to do that well,

716
00:39:10,600 --> 00:39:12,560
Speaker 3: not the only, but one of the best ways to

717
00:39:12,600 --> 00:39:17,040
Speaker 3: do that is to have permission and flexibility in your

718
00:39:17,080 --> 00:39:18,839
Speaker 3: approach so that you can get a sense of where

719
00:39:18,880 --> 00:39:20,279
Speaker 3: people are at and then go and meet them there.

720
00:39:20,440 --> 00:39:22,120
Speaker 3: If you come in with your pre written script or

721
00:39:22,320 --> 00:39:25,800
Speaker 3: your absolute scripted formula, that you do not deviate from

722
00:39:26,160 --> 00:39:30,160
Speaker 3: what I promise you'll find is there's somewhere sometime there'll

723
00:39:30,160 --> 00:39:33,840
Speaker 3: be an audience that is like, you are completely misreading

724
00:39:33,840 --> 00:39:35,200
Speaker 3: this room and what we need right now.

725
00:39:36,000 --> 00:39:36,560
Speaker 1: And so.

726
00:39:38,400 --> 00:39:40,120
Speaker 3: I guess it's a philosophy that I think about a

727
00:39:40,120 --> 00:39:44,000
Speaker 3: lot which is within structure their lives freedom. And so

728
00:39:44,040 --> 00:39:46,239
Speaker 3: I think you can give yourself a structure, which is

729
00:39:46,280 --> 00:39:51,920
Speaker 3: often for me time or a loose structure of Okay, well,

730
00:39:52,040 --> 00:39:54,640
Speaker 3: using time, we say we've got two hours, I want

731
00:39:54,680 --> 00:39:58,840
Speaker 3: to do roughly four thirty minute sections. And at the

732
00:39:58,880 --> 00:40:00,799
Speaker 3: end of each of those thirty minutes actions, maybe there'll

733
00:40:00,800 --> 00:40:03,319
Speaker 3: be a breakout or an interaction. Okay, cool, And so

734
00:40:03,960 --> 00:40:06,640
Speaker 3: the ordering of those four might differ. The story I

735
00:40:06,680 --> 00:40:08,839
Speaker 3: tell to articulate. The point of the third one might

736
00:40:08,880 --> 00:40:11,399
Speaker 3: differ depending on what's in the room. So I've given

737
00:40:11,400 --> 00:40:14,200
Speaker 3: myself a structure, and I have some clarity in what

738
00:40:14,239 --> 00:40:16,480
Speaker 3: I'm trying to do or what I hope will happen.

739
00:40:17,360 --> 00:40:20,439
Speaker 3: But I guess the freedom is in the how. It's

740
00:40:20,480 --> 00:40:23,160
Speaker 3: the how you get there, and in my experience, the

741
00:40:23,200 --> 00:40:27,560
Speaker 3: best way, the how is to get a sense of

742
00:40:27,560 --> 00:40:29,560
Speaker 3: what again, where the audience is at and try and

743
00:40:29,560 --> 00:40:32,480
Speaker 3: meet them there. Like ultimately we're talking about empathy. What's

744
00:40:32,520 --> 00:40:34,360
Speaker 3: important to this person in the room or these people

745
00:40:34,360 --> 00:40:36,200
Speaker 3: in the room, and how do I help them get

746
00:40:36,200 --> 00:40:37,879
Speaker 3: from where they are right now to where they want

747
00:40:37,880 --> 00:40:40,840
Speaker 3: to go? I think that's I think that's the the

748
00:40:42,120 --> 00:40:44,400
Speaker 3: secret source of what you two do really well.

749
00:40:44,760 --> 00:40:47,600
Speaker 1: Tiff, how does that go with you? How did you like?

750
00:40:47,680 --> 00:40:49,600
Speaker 1: How are you? How are you kind of going with

751
00:40:49,640 --> 00:40:55,239
Speaker 1: this freestyle you spontaneous, organic you and the the you know,

752
00:40:55,560 --> 00:40:57,680
Speaker 1: learning this or being in the part of this kind

753
00:40:57,719 --> 00:40:58,360
Speaker 1: of program.

754
00:40:58,719 --> 00:41:00,960
Speaker 2: I feel like as I as I go through it,

755
00:41:00,960 --> 00:41:05,239
Speaker 2: there's a lot of it is that feel similar to

756
00:41:05,320 --> 00:41:09,560
Speaker 2: how I already structure and do that loose planning and chunking.

757
00:41:09,960 --> 00:41:14,800
Speaker 2: But then there's all of these other processes of getting

758
00:41:14,840 --> 00:41:18,000
Speaker 2: there that we're implementing. And then there's a bunch of

759
00:41:18,080 --> 00:41:21,719
Speaker 2: learning that I'm doing, which is what I wanted was

760
00:41:21,760 --> 00:41:24,640
Speaker 2: what might I learn about the stuff I don't even

761
00:41:24,719 --> 00:41:27,880
Speaker 2: know that I don't know yet? So I love that stuff,

762
00:41:28,400 --> 00:41:32,840
Speaker 2: but I am super frustrated by the way of thinking

763
00:41:32,880 --> 00:41:35,600
Speaker 2: that I'm not used to and the places it takes

764
00:41:35,680 --> 00:41:38,080
Speaker 2: my brain that I don't want to have to go,

765
00:41:38,760 --> 00:41:41,440
Speaker 2: and then I want to throw in the bloody towel

766
00:41:41,480 --> 00:41:43,160
Speaker 2: and tell them all to get stuff and go I'm

767
00:41:43,160 --> 00:41:43,920
Speaker 2: not doing it your way.

768
00:41:43,920 --> 00:41:44,759
Speaker 1: I'm doing it my way.

769
00:41:44,800 --> 00:41:46,239
Speaker 2: And then I'm like, well, this is the whole point

770
00:41:46,280 --> 00:41:48,200
Speaker 2: of it was to learn, so just go through the

771
00:41:48,200 --> 00:41:52,640
Speaker 2: process and take what you need. But it's good, it's hard,

772
00:41:52,719 --> 00:41:57,960
Speaker 2: it's frustrating, it's exciting. At times, I get defensive about

773
00:41:58,000 --> 00:41:58,920
Speaker 2: it because I'm like, no.

774
00:41:58,960 --> 00:41:59,520
Speaker 1: I've never done.

775
00:41:59,520 --> 00:42:01,360
Speaker 2: Of course I've done, and I've never had you know,

776
00:42:01,400 --> 00:42:04,800
Speaker 2: I've never had a bad experience, and so I shouldn't

777
00:42:04,800 --> 00:42:06,080
Speaker 2: have to do it this way. And it's like, well,

778
00:42:06,120 --> 00:42:07,680
Speaker 2: you chose to do this, so shut up and knew

779
00:42:07,680 --> 00:42:08,080
Speaker 2: the course.

780
00:42:08,520 --> 00:42:10,560
Speaker 3: That's such an awesome attitude, by the way of like

781
00:42:10,600 --> 00:42:12,960
Speaker 3: the fact that you're putting yourself in that situation to

782
00:42:13,000 --> 00:42:16,080
Speaker 3: get annoyed when you have every right to keep doing

783
00:42:16,120 --> 00:42:19,440
Speaker 3: what you're doing because it was working. And yeah, I

784
00:42:19,440 --> 00:42:21,399
Speaker 3: mean I find that inspiring to go. I mean, even

785
00:42:21,400 --> 00:42:24,640
Speaker 3: thinking back to my response like yeah, but have you

786
00:42:24,680 --> 00:42:26,760
Speaker 3: ever you know, I don't know, gone to a workshop

787
00:42:26,760 --> 00:42:28,759
Speaker 3: where they teach you the best scripted way to write

788
00:42:28,800 --> 00:42:31,479
Speaker 3: a keynote. No, I haven't because I haven't necessarily thought

789
00:42:31,480 --> 00:42:34,480
Speaker 3: that that's my style. But maybe I'm avoiding learning something

790
00:42:34,480 --> 00:42:35,560
Speaker 3: that I might learn if I did that.

791
00:42:37,000 --> 00:42:39,040
Speaker 1: Yeah, I love I love being in a room and

792
00:42:39,080 --> 00:42:43,160
Speaker 1: watching speakers that I've never heard speak like good at

793
00:42:43,200 --> 00:42:46,960
Speaker 1: what they do, but I've never I don't know their content,

794
00:42:47,000 --> 00:42:49,120
Speaker 1: I don't know their style. I don't know them, or

795
00:42:49,120 --> 00:42:51,200
Speaker 1: maybe I know of them, but I've never heard them.

796
00:42:52,000 --> 00:42:57,279
Speaker 1: And especially I mean, obviously it's more importantly when they're good.

797
00:42:58,760 --> 00:43:02,440
Speaker 1: Even if somebody ruggles or somebody's not landing, you can

798
00:43:02,480 --> 00:43:08,279
Speaker 1: still learn a lot, right, And just I take away

799
00:43:08,360 --> 00:43:10,800
Speaker 1: stuff from that where I go, oh, that was so good.

800
00:43:11,400 --> 00:43:14,880
Speaker 1: I never even thought of talking about that that way,

801
00:43:15,239 --> 00:43:19,640
Speaker 1: or the way that they have a particular skill at this,

802
00:43:19,880 --> 00:43:22,359
Speaker 1: or just the way that they walk to the edge

803
00:43:22,360 --> 00:43:25,200
Speaker 1: of the stage and stand still and look and don't

804
00:43:25,239 --> 00:43:29,880
Speaker 1: say anything for like ten seconds. It's like she's saying

805
00:43:29,960 --> 00:43:33,200
Speaker 1: nothing and she's saying a million things. How is this possible?

806
00:43:33,600 --> 00:43:36,600
Speaker 1: Is she fucking magic? You know? It's just like there's

807
00:43:37,480 --> 00:43:40,040
Speaker 1: I'm like, oh that you would not think that doing

808
00:43:40,120 --> 00:43:43,160
Speaker 1: nothing can be so powerful. But depending on what's going

809
00:43:43,200 --> 00:43:48,080
Speaker 1: on in the moment, sometimes that nothing is exactly what

810
00:43:48,160 --> 00:43:50,640
Speaker 1: the whole room needs and who would even think of that?

811
00:43:51,280 --> 00:43:53,080
Speaker 3: Yeah, I'm back to that up, but back to that

812
00:43:53,120 --> 00:43:54,560
Speaker 3: idea of like, how do you meet the audience where

813
00:43:54,560 --> 00:43:56,319
Speaker 3: they're at the right pause at the right time from

814
00:43:56,360 --> 00:43:59,120
Speaker 3: the right person could be just what they need. I

815
00:43:59,160 --> 00:44:03,000
Speaker 3: also have that experience of you know, you might be going, oh, interesting,

816
00:44:03,000 --> 00:44:05,920
Speaker 3: I don't know if I would have used a story

817
00:44:05,960 --> 00:44:08,080
Speaker 3: like that or framed something that way, And then you

818
00:44:08,360 --> 00:44:10,560
Speaker 3: like look around and everyone is just on the edge

819
00:44:10,560 --> 00:44:12,319
Speaker 3: of the seat, like loving the way that they told

820
00:44:12,320 --> 00:44:14,680
Speaker 3: that story. I go, Okay, check your bias is Pete,

821
00:44:14,680 --> 00:44:16,560
Speaker 3: maybe you should be telling stories in that way because

822
00:44:16,560 --> 00:44:19,040
Speaker 3: everyone's loving it. So like, what are you missing that

823
00:44:19,440 --> 00:44:21,640
Speaker 3: you're blocking out because of your own preferences?

824
00:44:22,280 --> 00:44:26,040
Speaker 1: Yeah? Yeah, And I mean this all kind of just

825
00:44:26,080 --> 00:44:28,440
Speaker 1: this talking to an audience that extrapolates like it could

826
00:44:28,480 --> 00:44:31,000
Speaker 1: be an audience of five hundred at Crown, or it

827
00:44:31,040 --> 00:44:34,319
Speaker 1: could be an audience of one at the dinner table, right,

828
00:44:34,400 --> 00:44:37,080
Speaker 1: it could be one person. It's like, how do I

829
00:44:37,160 --> 00:44:40,799
Speaker 1: talk to my kid about this thing versus my other

830
00:44:40,880 --> 00:44:43,800
Speaker 1: kid who's real different to this kid? Well, how do

831
00:44:43,880 --> 00:44:47,239
Speaker 1: I talk to my mom? Like if I want to

832
00:44:47,280 --> 00:44:52,040
Speaker 1: get something across to my mum versus my dad. It's

833
00:44:52,120 --> 00:44:55,600
Speaker 1: like two different species. It's like a cat and a dog.

834
00:44:56,120 --> 00:44:59,479
Speaker 1: It's like they're so different, you know. And the way

835
00:44:59,520 --> 00:45:02,080
Speaker 1: that I need to communicate to my dad to create

836
00:45:02,239 --> 00:45:10,640
Speaker 1: connection yes and ah, I don't know real kind of

837
00:45:10,640 --> 00:45:14,640
Speaker 1: any kind of breakthrough is totally different to my mum,

838
00:45:15,120 --> 00:45:17,440
Speaker 1: and they basically joined at the hip, you know.

839
00:45:18,080 --> 00:45:20,400
Speaker 3: Yeah, I mean I think of that as practical empathy.

840
00:45:20,440 --> 00:45:23,439
Speaker 3: And sometimes when I'm working with corporates and you start

841
00:45:23,480 --> 00:45:25,160
Speaker 3: talking about okay, so let's think about how we could

842
00:45:25,160 --> 00:45:26,960
Speaker 3: empathize with the people we're working with or the people

843
00:45:27,000 --> 00:45:29,440
Speaker 3: we're coaching or whatever, you get people that rotherise and go,

844
00:45:29,480 --> 00:45:32,440
Speaker 3: oh yeah, empathy. We've all heard about empathy before. But

845
00:45:32,840 --> 00:45:36,000
Speaker 3: I think if you look at it practically, people inherently

846
00:45:36,080 --> 00:45:38,600
Speaker 3: know that you talk to your mum differently than you

847
00:45:38,600 --> 00:45:40,840
Speaker 3: talk to your dad, or you talk to your toddler

848
00:45:40,840 --> 00:45:43,680
Speaker 3: Pete far differently than you talk to your wife. And

849
00:45:43,719 --> 00:45:45,480
Speaker 3: the reason we know that is because we have enough

850
00:45:45,520 --> 00:45:48,080
Speaker 3: empathy to go, oh, I know what that person needs

851
00:45:48,120 --> 00:45:49,759
Speaker 3: right now, and they need me to frame things in

852
00:45:49,800 --> 00:45:51,959
Speaker 3: a certain way or explain it in a certain way

853
00:45:52,440 --> 00:45:55,960
Speaker 3: or use a particular story, and that insight is to

854
00:45:56,040 --> 00:45:58,399
Speaker 3: your point, that's how you connect with people one on one,

855
00:45:58,400 --> 00:46:00,960
Speaker 3: but it's actually also how you connect with audio, like

856
00:46:01,120 --> 00:46:03,040
Speaker 3: what does this room need right now? And how do

857
00:46:03,080 --> 00:46:03,919
Speaker 3: I meet them there?

858
00:46:05,520 --> 00:46:08,440
Speaker 1: And there's a lot of high level guessing in that,

859
00:46:08,600 --> 00:46:13,120
Speaker 1: right because, of course, because you've got fifty different personalities

860
00:46:13,120 --> 00:46:16,840
Speaker 1: and fifty different backgrounds and brains and minds and experiences

861
00:46:16,880 --> 00:46:21,279
Speaker 1: and windows through which they're observing, judging and interpreting you.

862
00:46:22,000 --> 00:46:24,200
Speaker 1: And as you said, someone's sitting there going, he's a

863
00:46:24,239 --> 00:46:27,359
Speaker 1: fucking dickhead, and someone else is like, where's this guy

864
00:46:27,440 --> 00:46:30,080
Speaker 1: been all my life? He's a genius. I wonder if

865
00:46:30,080 --> 00:46:32,440
Speaker 1: he's written a book? And can I have a photo?

866
00:46:32,520 --> 00:46:34,919
Speaker 1: And can I have a hug? And I have people

867
00:46:34,960 --> 00:46:36,520
Speaker 1: that want to punch me in the face and other

868
00:46:36,520 --> 00:46:38,400
Speaker 1: people that want to hug me at the same event,

869
00:46:38,480 --> 00:46:42,520
Speaker 1: I'm like to both at once. One person hugs me

870
00:46:42,560 --> 00:46:42,920
Speaker 1: while the other.

871
00:46:44,920 --> 00:46:48,319
Speaker 3: I think it was Seth Godin who said to me

872
00:46:48,400 --> 00:46:52,479
Speaker 3: one day, when you're doing a talk like that, find

873
00:46:52,520 --> 00:46:56,399
Speaker 3: your allies and speak to them and like, literally look

874
00:46:56,440 --> 00:46:58,040
Speaker 3: the person in the eye that looks like they're the

875
00:46:58,080 --> 00:47:00,880
Speaker 3: person that wants to hug you most for a little

876
00:47:00,920 --> 00:47:04,040
Speaker 3: longer than you think necessary, engage them in eye contact,

877
00:47:04,080 --> 00:47:06,799
Speaker 3: and just channel your energy to them, and that all

878
00:47:06,800 --> 00:47:08,600
Speaker 3: of a sudden, other people will pick up on the

879
00:47:08,600 --> 00:47:11,240
Speaker 3: fact that there's like a really cool human, authentic connection happening,

880
00:47:11,400 --> 00:47:14,520
Speaker 3: and they'll start to lean into that rather than kind

881
00:47:14,560 --> 00:47:17,440
Speaker 3: of spraying and praying where you're just kind of scanning

882
00:47:17,440 --> 00:47:19,279
Speaker 3: the room the whole one hundred and fifty people at

883
00:47:19,320 --> 00:47:21,279
Speaker 3: a time. If you look someone in the eye that's

884
00:47:21,360 --> 00:47:23,200
Speaker 3: leaning in and nodding and smiling, and you're like, oh,

885
00:47:23,239 --> 00:47:25,680
Speaker 3: that's one of my allies right there, and you talk

886
00:47:25,719 --> 00:47:28,239
Speaker 3: to them, it's almost like other people pick up on that,

887
00:47:28,320 --> 00:47:31,440
Speaker 3: And I think about it all the time, versus staring

888
00:47:31,480 --> 00:47:33,120
Speaker 3: at the guy that's sitting there with his arms cross,

889
00:47:33,120 --> 00:47:35,000
Speaker 3: going look at this there with like what a wanker.

890
00:47:35,040 --> 00:47:36,719
Speaker 3: I can't believe I'm sitting here awayte my time with

891
00:47:36,760 --> 00:47:39,840
Speaker 3: this guy. There's no point channeling any energy towards that person.

892
00:47:40,400 --> 00:47:42,440
Speaker 1: And how good is it when you feel a little

893
00:47:42,480 --> 00:47:45,640
Speaker 1: bit like you're spinning your wheels and there's just you know,

894
00:47:45,760 --> 00:47:50,680
Speaker 1: you sphink, there's just closed a bit, you know, and

895
00:47:51,680 --> 00:47:54,239
Speaker 1: you look out and you see one persons why. There's

896
00:47:54,239 --> 00:47:58,400
Speaker 1: always why. One person's like, yeah, that makes sense, yeah,

897
00:47:58,480 --> 00:48:00,680
Speaker 1: and they're nodding, and then I'm like, think, fuck for

898
00:48:00,800 --> 00:48:05,839
Speaker 1: you exactly, that that person. It's just like a bit

899
00:48:05,840 --> 00:48:08,440
Speaker 1: of a godsend where it's like, oh, my little angel,

900
00:48:08,520 --> 00:48:12,040
Speaker 1: my little self esteem builder in the moment, thank you.

901
00:48:12,560 --> 00:48:14,520
Speaker 1: They're giving me the A. They're giving me the A.

902
00:48:14,719 --> 00:48:17,959
Speaker 1: That's what I'm looking for one And it's not because

903
00:48:17,960 --> 00:48:19,759
Speaker 1: I'm doing a good job. It's because they're just a

904
00:48:19,800 --> 00:48:24,040
Speaker 1: really nice impact exactly. They feel sorry for me, and

905
00:48:24,080 --> 00:48:26,759
Speaker 1: they're trying to compensate for all the other motherfuckers that

906
00:48:26,800 --> 00:48:29,080
Speaker 1: are glaring at me like I'm a bor on. So

907
00:48:29,160 --> 00:48:31,719
Speaker 1: they're overdoing and on the smiling and the nodding. But

908
00:48:31,760 --> 00:48:32,800
Speaker 1: I'm buying in anyway.

909
00:48:33,160 --> 00:48:35,360
Speaker 3: There's a people pleaser in the crowd, and I'm buying

910
00:48:35,400 --> 00:48:36,160
Speaker 3: into what they're putting.

911
00:48:36,160 --> 00:48:40,279
Speaker 1: Now. I love it. Oh yeah yeah. And people that

912
00:48:40,400 --> 00:48:42,520
Speaker 1: the same person that laughs at all your stupid shit.

913
00:48:42,880 --> 00:48:44,920
Speaker 1: Hey mate, we love talking to you. You're a gun.

914
00:48:46,200 --> 00:48:49,759
Speaker 1: Tell people how they can enjoy more of the Pea

915
00:48:49,840 --> 00:48:50,920
Speaker 1: Shepherd experience.

916
00:48:51,560 --> 00:48:54,799
Speaker 3: Human periscope dot com is the website that has all

917
00:48:54,840 --> 00:48:56,680
Speaker 3: the things that you might want to get in touch

918
00:48:56,719 --> 00:48:57,640
Speaker 3: and reach out at any point.

919
00:48:57,719 --> 00:49:01,600
Speaker 1: I'm happy to chat. Giddy up, but a cup tiff

920
00:49:02,120 --> 00:49:04,080
Speaker 1: On behalf of the Pete night. We wish you well

921
00:49:04,160 --> 00:49:09,880
Speaker 1: for tomorrow night's good luck outing. We hope you find

922
00:49:09,880 --> 00:49:13,719
Speaker 1: a prospective partner because we know you've said yourself, the

923
00:49:13,760 --> 00:49:20,040
Speaker 1: clock's ticking and you know, no pressure. But and at

924
00:49:20,040 --> 00:49:22,600
Speaker 1: this stage if you're going tomorrow night. By the way,

925
00:49:22,800 --> 00:49:28,640
Speaker 1: she's not fussy, so that's a joke. Everyone, don't send

926
00:49:28,680 --> 00:49:30,920
Speaker 1: me an email and make sure you compliment her on

927
00:49:30,920 --> 00:49:35,879
Speaker 1: the red shoes. Make sure she may well be the

928
00:49:35,920 --> 00:49:40,919
Speaker 1: most fussy. So thanks, thanks you guys. Thanks team