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Speaker 1: Hello, and welcome back to the Psychology of your Twenties

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Speaker 1: at the Very Unprofessional Podcast, whereby your unqualified guide talk

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Speaker 1: through some of the big life transitions in our twenties

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Speaker 1: and what they mean for our psychology. Welcome back everyone

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Speaker 1: today we have some very special guests. If you'd like

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Speaker 1: to introduce you as the office. I'm Maddie and my

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Speaker 1: name is Meg. Oh good job. You know, for as

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Speaker 1: much as you guys were talking before this, I didn't

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Speaker 1: think it was going to be a struggle to say

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Speaker 1: your own name. Made was going fast? Contacted? Really? I

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Speaker 1: don't if I contact was you are going to go first?

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Speaker 1: I thought it was you anyway. Miscommunication, guys, which is

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Speaker 1: what we need to talk about. Good segue, Meg, She's um.

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Speaker 1: This was kind of a spontaneous episode, basically the Glorious Maddie.

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Speaker 1: She's back from Queensland. Excuse me, sorry, well she's back

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Speaker 1: from darn but she had to travel through Queensland, Sunshine State,

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Speaker 1: the Sunshine Stay, Yeah, to get to Canberra. And the

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Speaker 1: other day she got back and she messaged me these

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Speaker 1: really questions and it's not really like a typical episode,

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Speaker 1: but I thought we'd answer some of them. Maybe we

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Speaker 1: should talk about what these questions are. Oh no, I'm

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Speaker 1: just an ad on by the way, thanks for yeah

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Speaker 1: of a twenty something You're wrong. No, she just might

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Speaker 1: ask me, so we thought we should. No, we value

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Speaker 1: your insights. Um, yeah, no, I've found these questions on TikTok.

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Speaker 1: There was this guy talking about like this college in Oxford. Um,

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Speaker 1: it's just a residential college. But in order to get in,

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Speaker 1: it's a very rigorous selection process and they make you

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Speaker 1: sit for three hour exams I think twelve hours in total. Yeah,

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Speaker 1: in total, it used to be five. And then you

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Speaker 1: have to have an interview where there's like fifty people

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Speaker 1: interviewing you, and they admit one to two people every year.

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Speaker 1: It's really really selective. That's you're information is from TikTok.

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Speaker 1: Why is it that selective? Because what do you get

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Speaker 1: out of it? Oh, because you get funding to do

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Speaker 1: research on whatever you want for seven years at Oxford

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Speaker 1: at Oxford. Yeah, no, I a different you're emphasizing yes

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Speaker 1: yet there huh. And then you're just living with other

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Speaker 1: people doing their seven years of research. But if only

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Speaker 1: do you get admitted, what about all those other people?

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Speaker 1: Where do they come from from? The college must only

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Speaker 1: have like twenty people. Yeah, but because you're there for

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Speaker 1: seven years, you really it takes a long time to

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Speaker 1: time fourteen people. So that's a pretty small college. It's

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Speaker 1: a very small Maybe ways would work, isn't it? Okay?

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Speaker 1: Second days? Maybe maybe when they set it up they

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Speaker 1: were like, you know what, we'll be generous. Well, let

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Speaker 1: like and then since then they've only been adding like

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Speaker 1: one or two people, and it takes a long time

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Speaker 1: to filter people out because they get seven years. Anyway,

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Speaker 1: there's no seven years. Maybe they know. I think what

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Speaker 1: happens is they have the people who like all the

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Speaker 1: rich kids who have to pay, and then this is

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Speaker 1: a scholarship for the ones who like can't pay, but

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Speaker 1: probably rich kids still get it. Yeah that makes sense. Yeah, yeah,

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Speaker 1: I mean I definitely could have looked at this college,

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Speaker 1: like beyond the TikTok that I watched, who cares? And well,

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Speaker 1: you know, I just want to fact check and not

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Speaker 1: be a culprit of spreading misinformation. Good. So basically on

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Speaker 1: this exam they ask a bunch of these like very

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Speaker 1: abstract intellectual questions. Yeah, I think that questions that really

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Speaker 1: kind of underpin the world humanity. Yeah, good things. And

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Speaker 1: they're very like into like, very intellect like his different fields.

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Speaker 1: And we thought we would answer some of the psychology

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Speaker 1: questions and see whether Meg, Mattie, and Gemma would get

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Speaker 1: into Oxford College. I really think that we would. Well,

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Speaker 1: we'll have to see, but maybe we should, like probably,

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Speaker 1: I should probably just give you guys more of an introduction.

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Speaker 1: So tell everyone how we met, get them, get them

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Speaker 1: familiar before we dive. So, Meg, how do we meet? Well,

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Speaker 1: we went to be in g together, but we weren't friends. Yeah,

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Speaker 1: and I think we both thought we hated each other.

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Speaker 1: I remember you told me like I thought you hated me,

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Speaker 1: and I was like, oh my god, I thought, Jemmy,

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Speaker 1: you hated me. No, I was so intimidated by intimidate

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Speaker 1: that's probably better word. Yeah, And then into so many

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Speaker 1: strong friendships. Yeah, I thought you hated me at the

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Speaker 1: and then last year, well, I don't even know how

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Speaker 1: was it. I don't know, is it to Nail or Jasmine?

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Speaker 1: Maybe we basically just hung out once it was here,

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Speaker 1: I remember, and I was like, we had a good

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Speaker 1: conversation in this lounge room of the street that let's

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Speaker 1: not be named, in their house and it's beautiful. Is

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Speaker 1: that where it was? And then we just a message

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Speaker 1: saying I really enjoyed that. Good, I remember this. Okay,

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Speaker 1: we actually talk about why we're doing that, because I

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Speaker 1: really wanted, no, I know exactly what what it was.

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Speaker 1: I drove you guys to mac h that that oh yeah,

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Speaker 1: and then can I tell the funny story? Okay? So

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Speaker 1: I was hadn't had anything to drink, so I drove

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Speaker 1: them to me and two others and Jasmine and Aaron.

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Speaker 1: Someone's birthday. It was someone someone's birthday, wasn't it. Yeah,

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Speaker 1: it was Jasmine's birthday. Yeah, that makes sense. And it

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Speaker 1: was a year ago based yeah, And so I drove

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Speaker 1: them up to it. We got McDonald's and then I

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Speaker 1: drove them up to black to Mountains and there were

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Speaker 1: these two people having sex in a car and I

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Speaker 1: was driving and Jasmine, I hate to call her out.

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Speaker 1: It wasn't just Jasmine, it was all all of you

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Speaker 1: guys just really wanted to see them having sex. We

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Speaker 1: would drive we were doing this loop like three or

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Speaker 1: four times. The windows were foggy, like I just felt

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Speaker 1: so bad because we kept driving past their car. And

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Speaker 1: every time we'd drive past their car Jasmine or one

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Speaker 1: of you would be like slowed down. Yeah, we slowed

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Speaker 1: down so much. I was at a stand still and

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Speaker 1: you guys are just staring at this car. But that's

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Speaker 1: how we met. Oh, you're gonna go back and find

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Speaker 1: the Well how about while you do that, Maddie, how

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Speaker 1: did how did we meet? Um? I think we had

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Speaker 1: chats at the NG. Yeah, but I think we both

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Speaker 1: did a lot of like extracurricular ship that like overlapped

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Speaker 1: bossy bossy Yeah, um what else? And you're a very chatty,

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Speaker 1: easy to talk to person. So yeah, I think you're

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Speaker 1: really easy to start off a friendship with. And that's

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Speaker 1: so nice. You're a good podcast statoo. Oh I found

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Speaker 1: the message Actually wasn't that whelming, Like, it wasn't very like,

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Speaker 1: but I think that's what stemmed our friendships. I hope

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Speaker 1: the footdown when I don't know what that means. I

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Speaker 1: was about my ex housemate, this satanic being who shall

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Speaker 1: not be named, and I was, oh, yeah, I can't

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Speaker 1: even Yeah, anyway, that's what did you say? I thank you,

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Speaker 1: thank you had I fund the evening with you. Thanks

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Speaker 1: for driving also, and then yes, this is really detailed,

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Speaker 1: we might must know and we don't need to cut

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Speaker 1: it out. If people are listening to this, they want

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Speaker 1: to hear us. But also Meg and I lived together?

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Speaker 1: Are we do we do? Yeah? Well the Anny ways,

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Speaker 1: I was doing that Centain linkeding last night. It's like

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Speaker 1: any of your housemates couples, like are you are you

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Speaker 1: a couple with any of them? And it's just like

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Speaker 1: there's like three questions like meaning the same thing, but

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Speaker 1: they just wanted to check centinly oh sentient, Yeah, and

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Speaker 1: you have you participating activities that you would call yourself

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Speaker 1: a couple. So have you had sex with your do

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Speaker 1: you live with them in the same room? Do you

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Speaker 1: share expenses? There's so many questions about but we're not

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Speaker 1: a couple. I don't think if that's I'm definitely open

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Speaker 1: to having a conversation, if you know, if things shame.

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Speaker 1: I actually think if that's a definition of a couple,

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Speaker 1: me and Arianna would count as a couple. In sentient

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Speaker 1: it is, Yeah, me and Arianna would literally count as

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Speaker 1: a couple because we share expenses, like sometimes we sleep

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Speaker 1: in the same bed, like have cuddles, Like oh yeah,

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Speaker 1: they don't have anything like with the word like sexual

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Speaker 1: in it. So maybe both of us are a sexual

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Speaker 1: in their eyes. Okay, anyhow, let's move on. I think

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Speaker 1: this podcast episode is meant to be However, to be honest, like,

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Speaker 1: I just keep going, Well, we can stop it if

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Speaker 1: you guys want, But to be honest, like, I just

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Speaker 1: kind of just talk and there's a thing like it's

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Speaker 1: kind of my podcast. So I'm kind of like, if

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Speaker 1: you want to listen to this, you're happy to welcome

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Speaker 1: to listen to this. But it's also more like a

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Speaker 1: diary entry for me where I'm like the people I

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Speaker 1: bring on a people that are really important in my

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Speaker 1: life at the moment. Obviously guys are important to me. Stop.

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Speaker 1: So it's like as much as people might get entertainment

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Speaker 1: out of this, they can skip past this if they want, yes,

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Speaker 1: but also a journal thing. Yeah, it's more for me,

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Speaker 1: Like I know, my audience is not massive, Like, it's

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Speaker 1: just more that I get to have these great discuss

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Speaker 1: it's building, it's gradually increasing. But yeah, thanks for introducing yourself, guys.

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Speaker 1: So let's answer some of these questions that Maddie found

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Speaker 1: through her TikTok, some of the Oxford College entrance questions.

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Speaker 1: I feel like this is just going to be more

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Speaker 1: of a discussion, just because I feel like it's really

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Speaker 1: interesting to offer different perspectives and like deep dive into Yeah, definitely,

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Speaker 1: And I think that question is whether it's not really

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Speaker 1: a right or wrong No, yea, So please think about

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Speaker 1: it as well. Yeah, let us know. Send us a

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Speaker 1: mesto on Instagram if you're woefully offended by anything we've said,

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Speaker 1: or if you just have an edition, if you have

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Speaker 1: an addition, if you agree with us. But if you

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Speaker 1: just agree, we don't want to hear it. Yeah. Yeah,

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Speaker 1: I'm just going to block you spam. Yeah, Okay, Meg

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Speaker 1: has the first question? Okay, yes, is the Internet changing

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Speaker 1: the ways in which we think? Good question. That's a

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Speaker 1: very broad question. I think it's obvious it is, but

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Speaker 1: but then I think it depends on how you narrow

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Speaker 1: it down, because like if you if you think about

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Speaker 1: Internet as an isolated concept, it's also expanded the way

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Speaker 1: we think about things as well. It's globalized like our world.

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Speaker 1: But are we are we including like big data and

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Speaker 1: algorithms into this question or are we talking more about

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Speaker 1: like the immense accessibility of information that the Internet is facilitated,

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Speaker 1: or there's that one example. Have you watched the Social

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Speaker 1: your dilemma. Yeah, how like there's like if you are

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Speaker 1: like far left or far right, and then you like

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Speaker 1: that if I don't know how it is, if you

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Speaker 1: vote or if you just follow a lot of like

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Speaker 1: like far right politicians, then you get like into this

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Speaker 1: spiral if you follow like center right, and then it

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Speaker 1: takes you on a rabbit hole to an event you

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Speaker 1: see other views. You can never see other views. So

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Speaker 1: it's like, so it does kind of change the way

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Speaker 1: we think because it's like now I feel like previously

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Speaker 1: opinions were more up for discussion, whereas if you spend

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Speaker 1: a lot of time on the internet, especially as we

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Speaker 1: all did last year, when we all inside our homes,

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Speaker 1: it's actually harder to get a diverse opinion on things,

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Speaker 1: and especially like you can kind of cherry pick the

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Speaker 1: information that you want rather than and also it's so

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Speaker 1: accessible to find evidence for your own opinion, whereas previously

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Speaker 1: you have to go read a textbook, you have to

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Speaker 1: go to the library. But that's like, yeah, you're kind

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Speaker 1: of forced to read more diverse. That's a good point though,

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Speaker 1: because like I feel like with the Internet and like

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Speaker 1: would you call technology coming on? I know, like the

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Speaker 1: generations of like ten year olds now can't think for

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Speaker 1: themselves because they've got phones to search up on Google.

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Speaker 1: Like when we were ten, we fucking had us. We

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Speaker 1: had to go out and like, you know, make up ideas. Yeah,

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Speaker 1: literally we had to think for ourselves. And that's actually

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Speaker 1: like I always think about this. I'm like, are we

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Speaker 1: going to lose our like process of this is a

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Speaker 1: bit you know what I mean? We can just search

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Speaker 1: on Google, like get our phone literally in our pocket

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Speaker 1: for like ten seconds. Yeah. Also it reduces how we

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Speaker 1: entertain our how commy thinking is going to be. Like, actually,

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Speaker 1: this can all be so summarized in the Netflix special.

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Speaker 1: Yeah is that Welcome to the Internet. I watched it.

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Speaker 1: I didn't know. I think, yeah, anything and everything all

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Speaker 1: of the time. Yeah, that is the one that with

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Speaker 1: the the well you yes, and I watched it, but

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Speaker 1: I was like, oh, you were like, but I think

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Speaker 1: that's a really good point. Also make kind of off

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Speaker 1: like what you were saying, because there's more accessibility of

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Speaker 1: information as well. It means that all these people who

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Speaker 1: previously wouldn't have gone and read text books, wouldn't have

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Speaker 1: gone and read gone and borrowed books from the library

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Speaker 1: wouldn't have gone to like saloons or like gone into

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Speaker 1: lectures or gone to university now actually have access to information.

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Speaker 1: So it changes the way that we think in that

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Speaker 1: like more people are actually like accessing information who previously

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Speaker 1: wouldn't have. That's a good point. But then the downside

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Speaker 1: of that is that the information that they're accessing can

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Speaker 1: sometimes actually be les reduced cognition, because yeah, it's misformation.

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Speaker 1: That's a completly other point. But yeah, Madie's got a

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Speaker 1: She was like going, she's just sprinted. We didn't get

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Speaker 1: any I do get criticized around here all the time. Yes, No,

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Speaker 1: it just reminded me of this book that I'm reading

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Speaker 1: at the moment by Thomas Friedman. R Thomas Friedman. No, No,

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Speaker 1: he's American. Heals it's a very Jewish name. I actually

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Speaker 1: know Milton Friedman. I got a guy sexy. But anyway,

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Speaker 1: he kind of talks about the whole concept of the

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Speaker 1: book is that technology is accelerating at a quicker pace

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Speaker 1: than our kind of social ability and the ability of

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Speaker 1: our institutions to adapt to those changes. And the section

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Speaker 1: I was reading just this afternoon, so this is super wow. Yeah,

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Speaker 1: weird and coincidental is about social media and the Internet,

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Speaker 1: and he points out, no, no, no, I'm not going

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Speaker 1: to read. Yeah, I'm going to read the entire book.

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Speaker 1: Sit Down, ladies and gentlemen. This is the beginning of

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Speaker 1: my career. Okay, okay, some sorry, But with the Internet,

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Speaker 1: we don't know how to deal with rumors. Rumors that

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Speaker 1: confirm people's biases are now believed and spread among millions

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Speaker 1: of people. Second, we create our own echo chambers, which

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Speaker 1: we've kind of touched on. A Third, online discussions quickly

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Speaker 1: descend into angry mobs. For it became really hard to

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Speaker 1: change our opinions. Is what you post online you're someone. Yeah,

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Speaker 1: and on a bit of a tangent like the celebrities

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Speaker 1: and asserting their political views. I feel like there's a

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Speaker 1: bit of a discussion about this and people are like, oh,

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Speaker 1: they should stand out for this issue and that not

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Speaker 1: um whatnot. But I actually think it's really really hard

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Speaker 1: to maintain your political integrity once you stand up for

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Speaker 1: one thing. And yeah, the Internet preserve change. We actually

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Speaker 1: humans hate change so like naturally because the change is hard,

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Speaker 1: right as in like we all like I think, all

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Speaker 1: three of us very but it requires new adapts. Yeah,

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Speaker 1: Like change is good and we need it, but also

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Speaker 1: like that actually, like the Internet kind of like makes

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Speaker 1: us be more stagnant in a way because we like

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Speaker 1: can't change what we think and change. I would actually

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Speaker 1: disagree with you because I find that the algorithm just

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Speaker 1: in like my personal growth has actually really adapted to

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Speaker 1: the way that my life has changed. Like yeah, previously,

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Speaker 1: like when I was in a relationship, I get a

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Speaker 1: lot of like I'm just going to use the example

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Speaker 1: of Instagram reels, like just because it's in my mind,

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Speaker 1: like Instagram. So the Instagram algorithm almost I find adapts

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Speaker 1: to what my interests are in the it kind of

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Speaker 1: leads into that thing where I get a bit of

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Speaker 1: an epistepic echo chamber because I just put this data

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Speaker 1: in it. It just gives it straight back. Do you

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Speaker 1: think that your echo chamber is better or more justified,

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Speaker 1: because because it's but it's not if you think it's

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Speaker 1: a more educated one. I don't, Okay, So that's interesting.

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Speaker 1: So I think that the TikTok's and the reels that

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Speaker 1: I get a like very spiritual, very new age that's

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Speaker 1: what you're feeling at the moment, Yeah, very fitness orientated

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Speaker 1: very like I said, spirituality, but I don't have much

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Speaker 1: political content. But it means that if that's the main

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Speaker 1: platform that I consume my news from on my media from,

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Speaker 1: obviously I do like read the news and do other things,

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Speaker 1: but like it's the main online platform I use. The

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Speaker 1: only information I'm getting from it is just stuff that

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Speaker 1: like reinforces all the things I already already yeah, already believe.

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Speaker 1: But why did you get do you when that first

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Speaker 1: come up? Did you search out? When was it you?

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Speaker 1: Like I really want to get into Like no, it's

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Speaker 1: like just one of them would come up, you like it,

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Speaker 1: and then you know, in a couple of weeks two

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Speaker 1: of them come up, like both of those. So it

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Speaker 1: like adapts to the way that you're mindships, which I

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Speaker 1: find good because if you have to search up in

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Speaker 1: the first place, you know what I mean, Like if

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Speaker 1: you've got so I've come back to camera and it's

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Speaker 1: like a full new thing and I have to search

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Speaker 1: out like you know what, not what TikTok is? You know,

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Speaker 1: like those kind of like randomness any idea that I'm reenterating,

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Speaker 1: Yeah from from like rural Victoria. Um no, I think

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Speaker 1: that it's the thing where it's like, you interact with

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Speaker 1: enough posts and like obviously occasionally you're going to like

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Speaker 1: run across one that is like more it's fine, we're

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Speaker 1: pouring someone, You're going to run across one that's more

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Speaker 1: like and you're like, oh, that's interesting. And then so

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Speaker 1: it builds to you. So but it's like both a

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Speaker 1: blessing and a curse, and that the person I want

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Speaker 1: to become is reinforced by the media I'm consuming. But

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Speaker 1: I also see that if I was getting all of

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Speaker 1: my media or my news content from my phone, from

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Speaker 1: my from Instagram, from Facebook, how quickly it would be

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Speaker 1: just to like slip into one category of And I

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Speaker 1: think it's so insidious that you don't. It's very hard

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Speaker 1: to have the level of self awareness require. That's a

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Speaker 1: very good point, because my internet can really also, don't

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Speaker 1: you think it's interesting in our conversation about the Internet,

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Speaker 1: how immediately this conversation became about social media because we

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Speaker 1: associate so many of the problems that the Internet is

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Speaker 1: produced it is with social media. That's what about what

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Speaker 1: about the Internet? Like more broadly, if we look outside

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Speaker 1: of like the social media discussion, Yeah, I think also

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Speaker 1: it's changed the way that we can receive answers. I

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Speaker 1: don't know, it's funny because then I'm immediately going back

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Speaker 1: to social media. Like it's changed the way that we

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Speaker 1: receive gratification. So previously, if we had a question, if

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Speaker 1: we were seeking knowledge, if we were seeking stimulation, it

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Speaker 1: will take a bit more. But now we pick up

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Speaker 1: our phones, we go on the internet. It actually makes

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Speaker 1: that cognitive process. Like you were saying, man, yeah, a

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Speaker 1: lot easy, a lot quicker. I so want to say

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Speaker 1: it because I was just thinking with social like not

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Speaker 1: just social with the Internet or any like news or

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Speaker 1: evidence thing on on Google whatever, Like I think it

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Speaker 1: really favors people who are more self aware of what

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Speaker 1: you were saying, Maddie, and like intellectual, Like if I

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Speaker 1: know so many people who have different like range of

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Speaker 1: skills and arnas like you know, university and Caden stuff,

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Speaker 1: and they like they get sucked in really bad and

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Speaker 1: like scammed, Like that's a bad case, you know, Like

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Speaker 1: it really the internet really Like I don't know, I

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Speaker 1: just find it's really like what's the word doesn't not

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Speaker 1: just like it, I don't know what the word is.

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Speaker 1: Benefit it kind of like people who can get sucked in.

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Speaker 1: But who depending on who you are, you know, like yeah,

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Speaker 1: it favors people who are more like the other questions

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Speaker 1: on this list was, um is do Internet users have

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Speaker 1: equal equality? Equality equal? Not? No way? Think yeah what

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Speaker 1: you're saying, Yeah, that's what that Also, it depends on

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Speaker 1: what you use the Internet for, because I feel like

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Speaker 1: it almost almost replicates a class structure that exists in

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Speaker 1: real life. Like if use the Internet for academic purposes

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Speaker 1: like we would be doing, or for research purposes, or

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Speaker 1: for work purposes, you know, your experience with the Internet,

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Speaker 1: you would probably see it more as a tool. Whereas

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Speaker 1: if you were someone who is getting scammed, if you

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Speaker 1: were someone whom perhaps the Internet is showing you all

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Speaker 1: the things that you can't be, or you know, perhaps

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Speaker 1: you're growing up in a rural community or in a

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Speaker 1: poorer community, like the internet, yeah it would be beneficial

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Speaker 1: to you, but it might also it's more just probably

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Speaker 1: just be like a not entertainment, you know, like you

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Speaker 1: just go on there to sddictive because you're not nothing else,

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Speaker 1: You're real initially there's nothing to do, so you just

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Speaker 1: literally what else is there to do? There's no like see,

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Speaker 1: so you could say that it's changed the way that

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Speaker 1: we think in that sense because people don't really have

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Speaker 1: to sit with themselves, and that is such a big thing.

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Speaker 1: I find that where you're like in a bad mood

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Speaker 1: and you're like Instagram, we need to think of our

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Speaker 1: own thoughts. But we all we can't remember. Like talking

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Speaker 1: to a boss of mine a few years ago, and

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Speaker 1: he was like quite a bit older, and he was

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Speaker 1: talking about, like, um, breaking up with someone, and then

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Speaker 1: they had to take a really long bus ride back

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Speaker 1: to his place and it was like an hour and

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Speaker 1: a half or two hours on public transport, and he

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Speaker 1: had forgotten his headphones, and yeah, he was saying, you know,

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Speaker 1: in hindsight, I'm actually really glad that I didn't have

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Speaker 1: my headphones. I guess listening to music on Spotify is

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Speaker 1: not really it's enabled by this thought. Yeah, I do

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Speaker 1: that all the time. Like how much do we actually

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Speaker 1: with the creation of the Internet. And I guess we

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Speaker 1: could make the argument for radio and things like that,

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Speaker 1: but now that it's compact, it follows you everywhere that

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00:22:31,640 --> 00:22:35,040
Speaker 1: we've got mobile phones and the Internet, it's like a distraction. Yeah,

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Speaker 1: how often are you alone? And has it changed the

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Speaker 1: way we if were like kind of going back to

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Speaker 1: the actual question, like has it changed the way that

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Speaker 1: we think? Like, yeah, has it made us less resourceful? Um? Well,

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Speaker 1: because you know we have Google maps, yeah, fingertips and

404
00:22:50,359 --> 00:22:52,960
Speaker 1: obviously there's a lot of dialogue about how it's changed

405
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Speaker 1: our attention span. Well that's where I was kind of heading,

406
00:22:57,240 --> 00:22:59,399
Speaker 1: is like I was thinking, we'll just then that just

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Speaker 1: came up to me, like you know, the reason when

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Speaker 1: I might get really anxious or like you overthink things,

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Speaker 1: which is very common these days. Well, maybe that's because anyway,

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Speaker 1: we won't go there, but like, is it because like

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Speaker 1: if I use like the Internet and like Spotify music

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Speaker 1: to like distract myself. But like you know, back in

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Speaker 1: the day, back you know, forty years ago, how did

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Speaker 1: people work with their overthinking thoughts? Like how do they

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Speaker 1: work with their anxieties? I don't know. I just like

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Speaker 1: that's like I'm really interesting with the anxiety thing because

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Speaker 1: I think it's kind of ironic that the Internet really

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Speaker 1: created a lot of services that should inherently reduce anxiety

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Speaker 1: but have actually exacerbated it. It's like the self, what's

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Speaker 1: the image the body? You know, body image and yeah,

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Speaker 1: like things like that we're also Internet as a means

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Speaker 1: for comparison with anything in your life. It's like we

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Speaker 1: do kind of keep shifting onto social media means of comparison.

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Speaker 1: But I actually might make an argument that it actually

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Speaker 1: has improve the way we think because it's increased the

426
00:24:02,880 --> 00:24:05,520
Speaker 1: possibilities that people feel they have. Yeah, that's a good point,

427
00:24:05,560 --> 00:24:08,159
Speaker 1: but also it's expanded your worldview. It's back to like

428
00:24:08,280 --> 00:24:10,520
Speaker 1: the spiral of like if you're aware of that, or

429
00:24:10,560 --> 00:24:12,640
Speaker 1: if you go down the case like, oh, I don't

430
00:24:12,960 --> 00:24:16,720
Speaker 1: like I see that skiing and unengotally like imagine there's

431
00:24:16,760 --> 00:24:19,480
Speaker 1: like someone in you know, like we've been using this

432
00:24:19,600 --> 00:24:22,320
Speaker 1: rural example because I feel like that's a real benefit

433
00:24:22,440 --> 00:24:24,320
Speaker 1: for people who are in like centers of not the

434
00:24:24,359 --> 00:24:27,440
Speaker 1: Internet is really useful for them. Imagine, you know, being

435
00:24:27,480 --> 00:24:29,600
Speaker 1: able to see that like university is a possibility and

436
00:24:29,720 --> 00:24:31,960
Speaker 1: not having to be connected with someone to the university.

437
00:24:32,000 --> 00:24:34,280
Speaker 1: You know, there are scholarships like, Yeah, it's changed the

438
00:24:34,320 --> 00:24:37,080
Speaker 1: way we think and that like it has expanded our

439
00:24:37,119 --> 00:24:41,240
Speaker 1: options but also limited them or narrowed like home of

440
00:24:41,280 --> 00:24:43,480
Speaker 1: the Mint to perhaps a specific thing when we think

441
00:24:43,480 --> 00:24:46,600
Speaker 1: about political opinions, but it's also expanded how we think

442
00:24:46,640 --> 00:24:48,840
Speaker 1: and that we see that more things are available to us,

443
00:24:50,080 --> 00:24:52,400
Speaker 1: But I think at the same time it's a double

444
00:24:52,520 --> 00:24:55,719
Speaker 1: edged sword and that we definitely do realize there's greater possibility,

445
00:24:55,800 --> 00:24:58,360
Speaker 1: is almost overwhelmed with choice, but at the same time

446
00:24:58,400 --> 00:25:05,359
Speaker 1: we realize how utter disposability. Oh, because I was wondering

447
00:25:05,359 --> 00:25:07,920
Speaker 1: when this is going to turn like really existential. I

448
00:25:08,080 --> 00:25:10,119
Speaker 1: learned that word in French last week. I think I

449
00:25:10,240 --> 00:25:13,879
Speaker 1: can't say it's existentially You'll get there, but I couldn't.

450
00:25:13,880 --> 00:25:15,480
Speaker 1: I had to search out what it was. Wait. Wait,

451
00:25:15,480 --> 00:25:20,040
Speaker 1: back to Maddie's existential point. How disposable we are? Yes,

452
00:25:20,200 --> 00:25:22,119
Speaker 1: because I think that a lot of a lot of

453
00:25:22,400 --> 00:25:26,200
Speaker 1: labor can be really really easily outsourced through software through

454
00:25:26,240 --> 00:25:32,840
Speaker 1: the Internet now, whereas previously that would have been sourced locally. Yeah.

455
00:25:32,880 --> 00:25:35,440
Speaker 1: But also it's like that's allowed industry to expand and

456
00:25:35,480 --> 00:25:40,119
Speaker 1: allowed production to expand. Very that's very capitalist. Yeah, but

457
00:25:40,200 --> 00:25:42,679
Speaker 1: if we're thinking about like how it's changed the way

458
00:25:42,720 --> 00:25:46,239
Speaker 1: you think, Like I think, if you were growing up

459
00:25:46,600 --> 00:25:51,160
Speaker 1: pre Internet, you being kind of one of the best

460
00:25:51,200 --> 00:25:54,760
Speaker 1: in your field, in your town or your city, your area,

461
00:25:54,840 --> 00:25:59,320
Speaker 1: wherever you lived, like that was really impressive. Yeah, part

462
00:25:59,320 --> 00:26:04,600
Speaker 1: of your identity impressive and um, yeah, but with the

463
00:26:04,920 --> 00:26:09,680
Speaker 1: Internet now you're so much more aware of you know,

464
00:26:09,760 --> 00:26:12,280
Speaker 1: the software developer on the other side of the world,

465
00:26:12,359 --> 00:26:18,600
Speaker 1: who is better than Yeah, like it's more international. Yeah, yeah,

466
00:26:19,440 --> 00:26:21,920
Speaker 1: it's not really at all related. What is It's like,

467
00:26:22,480 --> 00:26:24,840
Speaker 1: you know, when like countries interfere, this is a whole

468
00:26:24,960 --> 00:26:29,239
Speaker 1: different There are so many facets to this question when

469
00:26:29,280 --> 00:26:31,920
Speaker 1: countries interfere, Like I don't like an example of like

470
00:26:32,280 --> 00:26:35,200
Speaker 1: in the Middle East, when like American interfere, you know,

471
00:26:35,359 --> 00:26:39,040
Speaker 1: like things like that. It's like globalization in that sense.

472
00:26:39,280 --> 00:26:41,480
Speaker 1: Is that I don't really know much about this topic.

473
00:26:41,560 --> 00:26:44,879
Speaker 1: But yeah, yeah, And because there's a question on this

474
00:26:45,200 --> 00:26:50,600
Speaker 1: exam that was like is international development AID good? Yeah,

475
00:26:50,760 --> 00:26:54,120
Speaker 1: like that kind of like because we're being globalized, that's

476
00:26:54,240 --> 00:26:56,879
Speaker 1: able to happen. But also how does it is it

477
00:26:57,000 --> 00:27:01,240
Speaker 1: used for manipulation as well, like foreign interest political reasons

478
00:27:01,359 --> 00:27:03,159
Speaker 1: rather than just humanitarian Well, I feel like we're going

479
00:27:03,160 --> 00:27:06,640
Speaker 1: in a rabbits off or should do next the next question? Okay,

480
00:27:06,840 --> 00:27:09,480
Speaker 1: which question do you have? Meg? Well? Who asked that question?

481
00:27:09,560 --> 00:27:11,679
Speaker 1: Do you want to ask a question? Maddie? Ye? Oh,

482
00:27:11,760 --> 00:27:14,159
Speaker 1: actually I can I ask one. Yeah, this one's like

483
00:27:14,200 --> 00:27:18,840
Speaker 1: a little bit misk Okay, it's kind of a bit

484
00:27:18,840 --> 00:27:23,920
Speaker 1: of a change, and it's very same thing. Yeah, okay,

485
00:27:24,280 --> 00:27:29,920
Speaker 1: who is the most overrated figure in your discipline? Oh?

486
00:27:30,160 --> 00:27:34,160
Speaker 1: I think you're eager to talk about this the reason

487
00:27:34,240 --> 00:27:36,680
Speaker 1: I ask it? Yeah, I just want to like talk

488
00:27:36,720 --> 00:27:39,520
Speaker 1: shit about people in my side, not like people I know,

489
00:27:39,760 --> 00:27:42,000
Speaker 1: but like in psychology and philosophy. But I think is

490
00:27:42,080 --> 00:27:52,639
Speaker 1: so overrated. Like, Okay, firstly, Adam Smith, Like, oh my god,

491
00:27:53,640 --> 00:27:56,480
Speaker 1: you know there is more to political thinking than some

492
00:27:56,680 --> 00:28:00,639
Speaker 1: white guy who fucking Scottish. Is Scottish, why he was,

493
00:28:00,680 --> 00:28:03,879
Speaker 1: why he was from Glasgow, he was on Calculi or

494
00:28:03,920 --> 00:28:07,760
Speaker 1: something like. That's old. Well though he's dead yet I'm

495
00:28:07,800 --> 00:28:10,840
Speaker 1: saying still alive, I'm saying century. Yeah. Like, I just

496
00:28:11,000 --> 00:28:14,520
Speaker 1: think that, like Adam Smith is so overrated. Rational thought

497
00:28:14,680 --> 00:28:18,399
Speaker 1: so overrated, the emphasis on self interest so overrated, and

498
00:28:18,600 --> 00:28:20,840
Speaker 1: every single course I always learn about it, and I'm

499
00:28:20,880 --> 00:28:24,080
Speaker 1: just like, really, can we retire the idea that this

500
00:28:24,240 --> 00:28:28,240
Speaker 1: one person is like the forefather of every single economic

501
00:28:28,320 --> 00:28:30,600
Speaker 1: and political thought that we've ever had. In his hair

502
00:28:30,640 --> 00:28:34,119
Speaker 1: as well? Oh lame, He's like, I just I just

503
00:28:34,240 --> 00:28:36,919
Speaker 1: feel like we need to have more of a diversity

504
00:28:36,960 --> 00:28:39,760
Speaker 1: of thinkers. The other one who I really sorry, I'm

505
00:28:39,800 --> 00:28:41,719
Speaker 1: just like kind of ranting. Say a quote from him,

506
00:28:41,760 --> 00:28:44,080
Speaker 1: I think, yeah, all money is a matter of belief.

507
00:28:44,480 --> 00:28:47,160
Speaker 1: Why is it about money? Am I just singing? He's

508
00:28:47,160 --> 00:28:53,520
Speaker 1: an economist money, Yeah, so it makes sense. Anyway. He

509
00:28:53,600 --> 00:28:55,960
Speaker 1: has a second Well, here's this huge emphasis on self interest,

510
00:28:56,040 --> 00:28:58,400
Speaker 1: which I do think is rational, like to the belief,

511
00:28:58,520 --> 00:29:00,600
Speaker 1: but just annoys me. I'm sure mad do you find

512
00:29:00,640 --> 00:29:03,160
Speaker 1: this as well? With like Ppe, Yeah, I know, he's

513
00:29:03,240 --> 00:29:08,280
Speaker 1: definitely hammad On Hammered. Yeah. The second one is like,

514
00:29:09,160 --> 00:29:13,680
Speaker 1: there are all these psychologists who I just like, Hey,

515
00:29:13,840 --> 00:29:17,000
Speaker 1: John Watson and Bef Skinner an example, Yeah, you know

516
00:29:17,120 --> 00:29:22,920
Speaker 1: him right, I know him from she How do you

517
00:29:23,000 --> 00:29:26,360
Speaker 1: know him from Shella Combs? John Watson? Who's that? He's like,

518
00:29:28,960 --> 00:29:32,320
Speaker 1: I've not Sherlock t one b they live together. Oh

519
00:29:32,400 --> 00:29:37,000
Speaker 1: that's cute. Yeah. Anyway, there's Arthur Conan Doyle, an overrated figure.

520
00:29:40,520 --> 00:29:45,800
Speaker 1: Nont no, Okay, I'm learning so much. But yeah, there's

521
00:29:45,840 --> 00:29:49,160
Speaker 1: also like this huge emphasis on like behaviorist psychologists in

522
00:29:49,320 --> 00:29:51,520
Speaker 1: the field of psychology, and it really shits me because

523
00:29:51,520 --> 00:29:54,560
Speaker 1: I'm like, every course you learn about it, it's like, yes,

524
00:29:54,640 --> 00:29:57,080
Speaker 1: they understood how like behavior and learning occur, but like,

525
00:29:57,160 --> 00:30:00,560
Speaker 1: can we maybe what's an example? Okay, so um, they

526
00:30:00,640 --> 00:30:02,960
Speaker 1: have skinner did like these boxes with ruts in them,

527
00:30:03,000 --> 00:30:05,640
Speaker 1: and he learned that, like I haven't known that yet,

528
00:30:06,880 --> 00:30:09,960
Speaker 1: conditioned unconditioned stimulus. It's great, but it just gets like

529
00:30:10,080 --> 00:30:12,240
Speaker 1: overplayed and it just feel like there are so many

530
00:30:12,280 --> 00:30:15,080
Speaker 1: more creative ideas that have come out in the last

531
00:30:15,160 --> 00:30:18,000
Speaker 1: like one hundred years or fifty years that are actually

532
00:30:18,080 --> 00:30:22,760
Speaker 1: provided much better explanation than these experiments. And it's like, oh,

533
00:30:23,080 --> 00:30:25,040
Speaker 1: I also just I think it's that general issue where

534
00:30:25,040 --> 00:30:27,479
Speaker 1: I'm just like getting very frustrated that in a lot

535
00:30:27,520 --> 00:30:31,160
Speaker 1: of my university courses they only teach about white male

536
00:30:31,640 --> 00:30:34,200
Speaker 1: well research, isn't it? Like this is okay, this is

537
00:30:34,680 --> 00:30:36,960
Speaker 1: another thought thought for my brother a bit, like the

538
00:30:37,240 --> 00:30:41,160
Speaker 1: university is actually quite right wing, Like do you think yes,

539
00:30:41,560 --> 00:30:45,240
Speaker 1: like the actual This is what he's I've thought about

540
00:30:45,240 --> 00:30:48,200
Speaker 1: it a bit, but like like the actual, like it's

541
00:30:48,200 --> 00:30:50,640
Speaker 1: a it's a huge structure. Of course it's right wing,

542
00:30:50,720 --> 00:30:53,840
Speaker 1: you know what I mean, Like the actual it's right wing.

543
00:30:54,200 --> 00:30:56,360
Speaker 1: I think no, I think like that. I don't know.

544
00:30:56,920 --> 00:31:00,520
Speaker 1: This is like his random brain thoughts, but like the

545
00:31:03,200 --> 00:31:05,360
Speaker 1: not the teaching because I'm doing various science, so that

546
00:31:05,360 --> 00:31:09,960
Speaker 1: obviously isn't right wing, but like, um, the actual teaching style,

547
00:31:10,120 --> 00:31:11,960
Speaker 1: I don't know, I'll have to do some more recent

548
00:31:12,000 --> 00:31:14,600
Speaker 1: it's a conservative too. Yeah, yeah, it's like yeah, and

549
00:31:14,720 --> 00:31:18,560
Speaker 1: like we're learning about Yeah, we're literally it's very repetitive

550
00:31:18,600 --> 00:31:21,880
Speaker 1: and like it's structured. It's so structured, and it's all

551
00:31:22,000 --> 00:31:26,560
Speaker 1: based on like ideas of like fifty seventy, even hundreds

552
00:31:26,600 --> 00:31:29,720
Speaker 1: of years ago that haven't been corrected, haven't been changed

553
00:31:29,800 --> 00:31:32,200
Speaker 1: even when they've been proven to be incorrect, even when

554
00:31:32,280 --> 00:31:35,239
Speaker 1: better explanations offered, And a lot of these people are

555
00:31:35,440 --> 00:31:39,640
Speaker 1: very like it's very conservative. They're all very traditional. I think.

556
00:31:39,760 --> 00:31:41,960
Speaker 1: I do think the teaching is quite conservative, and that

557
00:31:42,040 --> 00:31:46,040
Speaker 1: I don't think they've adapted to the needs of society

558
00:31:46,120 --> 00:31:49,200
Speaker 1: and the kind of job market that we're entering, because

559
00:31:49,240 --> 00:31:53,560
Speaker 1: they think that they universities are still somewhat living in

560
00:31:53,600 --> 00:31:56,320
Speaker 1: the past where people were qualified with a certain skill

561
00:31:56,400 --> 00:31:59,200
Speaker 1: and they use that skill in their career, which really

562
00:31:59,280 --> 00:32:01,760
Speaker 1: carried them through a lifetime. Are going to have a

563
00:32:01,840 --> 00:32:04,520
Speaker 1: lot of different careers and in order to stay up

564
00:32:04,560 --> 00:32:09,000
Speaker 1: to date and and be kind of climb the ranks

565
00:32:09,200 --> 00:32:12,400
Speaker 1: in whichever workforce you're in. It does require lifelong learning,

566
00:32:12,760 --> 00:32:15,200
Speaker 1: and I don't think the university has adapted that, and

567
00:32:15,280 --> 00:32:17,560
Speaker 1: I think they're conservative in that sense. But to go

568
00:32:17,720 --> 00:32:26,960
Speaker 1: back to the original question, thank you for yes, who

569
00:32:27,040 --> 00:32:29,640
Speaker 1: is an overrated person? You're in your discipline? Like, and

570
00:32:29,720 --> 00:32:32,040
Speaker 1: I think you'll agree with me on this gamma because

571
00:32:32,040 --> 00:32:38,360
Speaker 1: we both do ppe economics is really really outdated. Yeah,

572
00:32:39,040 --> 00:32:42,040
Speaker 1: and so they still it's like my mom was showing

573
00:32:42,080 --> 00:32:44,800
Speaker 1: me some of hers like rational man, rational economic man,

574
00:32:45,000 --> 00:32:50,040
Speaker 1: like self interest. That's that's it. It's very very exclusionary

575
00:32:50,280 --> 00:32:53,840
Speaker 1: find I know that, Oh god, you're absolutely right. And

576
00:32:53,880 --> 00:32:56,240
Speaker 1: they teach these same models thinking that they've adapted. It's

577
00:32:56,280 --> 00:33:00,360
Speaker 1: like these models were created like fifty years ago. Really

578
00:33:00,560 --> 00:33:04,640
Speaker 1: really really outdated. Concept that stands out to me so

579
00:33:04,800 --> 00:33:07,640
Speaker 1: much in economics is that when it comes to environment,

580
00:33:08,520 --> 00:33:13,360
Speaker 1: there was the kind of traditional response to that was like, oh, well,

581
00:33:13,440 --> 00:33:17,560
Speaker 1: the free market when when a resource is overused and overconsumed,

582
00:33:17,920 --> 00:33:21,600
Speaker 1: the free market will naturally like redirect us to other

583
00:33:21,760 --> 00:33:25,680
Speaker 1: sources of production and it doesn't understand the idea of

584
00:33:25,800 --> 00:33:30,120
Speaker 1: like exhaustion or yeah. Yeah, and you're just kind of

585
00:33:30,200 --> 00:33:34,080
Speaker 1: sitting there like, well, yes, it's our cohole industry. Yeah,

586
00:33:34,200 --> 00:33:37,640
Speaker 1: it's like, oh yeah, interesting all the other idea it's like,

587
00:33:37,920 --> 00:33:39,720
Speaker 1: oh yeah, if we lose jobs in one place, they'll

588
00:33:39,720 --> 00:33:44,360
Speaker 1: be created elsewhere. So yeah, everything always reaches an equilibriumrchment.

589
00:33:44,400 --> 00:33:46,200
Speaker 1: But then you would use that argument in favor of

590
00:33:46,280 --> 00:33:49,560
Speaker 1: free trade. Yeah yeah, but wait, what do you mean?

591
00:33:49,800 --> 00:33:51,440
Speaker 1: So but then I feel like you're using it as

592
00:33:51,480 --> 00:33:53,959
Speaker 1: a negative argument. I'm using it now. Well, what I'm

593
00:33:54,000 --> 00:33:57,360
Speaker 1: saying is that it's not true, like especially in isolated

594
00:33:57,440 --> 00:34:01,600
Speaker 1: industry industries or in an isolated community like Australia, whether

595
00:34:02,360 --> 00:34:05,720
Speaker 1: like it suggests that when people lose jobs in one area,

596
00:34:06,160 --> 00:34:08,439
Speaker 1: new jobs are always created elsewhere. So so we shut

597
00:34:08,480 --> 00:34:11,759
Speaker 1: down skill set. That's what you were saying about their

598
00:34:11,800 --> 00:34:14,360
Speaker 1: skill set, you know, four year old skill set. They

599
00:34:14,400 --> 00:34:18,440
Speaker 1: only have like a sense right, we will be owing.

600
00:34:18,560 --> 00:34:21,880
Speaker 1: Economics is very much like the market fixes everything, yes, itself,

601
00:34:22,080 --> 00:34:27,160
Speaker 1: and those new industries, new avenues for disenfranchised people will

602
00:34:27,520 --> 00:34:30,359
Speaker 1: be forced to open. And this is where you come

603
00:34:30,400 --> 00:34:32,880
Speaker 1: to that big cleavage between left and right wing economics,

604
00:34:32,920 --> 00:34:35,000
Speaker 1: because when you get on the left wing, it says no, no, no,

605
00:34:35,160 --> 00:34:37,360
Speaker 1: you need the government at that point to step in

606
00:34:37,840 --> 00:34:42,960
Speaker 1: and like offer offer opportunities for upskilling or reskilling so

607
00:34:43,080 --> 00:34:47,440
Speaker 1: that people can have greater labor migration. Um. And so

608
00:34:47,640 --> 00:34:50,960
Speaker 1: I think in really overrated person in the field of

609
00:34:51,040 --> 00:34:59,000
Speaker 1: economics would be Gregory. Gregory Magory Manque. Yeah, he wrote

610
00:34:59,320 --> 00:35:01,200
Speaker 1: we didn't do my chro economics in the same year,

611
00:35:01,239 --> 00:35:04,359
Speaker 1: but he wrote the textbook that I used from Macro. Oh. Yeah,

612
00:35:05,880 --> 00:35:08,080
Speaker 1: I didn't use a textbook because I was just like,

613
00:35:08,160 --> 00:35:10,640
Speaker 1: this is all pretty simple. Yeah, no, that's fair. I

614
00:35:11,760 --> 00:35:14,279
Speaker 1: received it. Also, you know what, I definitely done something

615
00:35:14,360 --> 00:35:17,680
Speaker 1: that I would have paid money funny for. No. Also,

616
00:35:17,800 --> 00:35:19,800
Speaker 1: I ask anyone who was also at the A and

617
00:35:19,920 --> 00:35:24,240
Speaker 1: you when you watch an economics lecture, watch every single lecture.

618
00:35:24,280 --> 00:35:27,480
Speaker 1: You would never see a picture of a woman. Dana

619
00:35:29,040 --> 00:35:32,480
Speaker 1: Dana's lecturer. But I'm saying in the slides, yeah, you

620
00:35:32,480 --> 00:35:34,840
Speaker 1: will never see a picture of a woman. It's all like,

621
00:35:34,960 --> 00:35:36,759
Speaker 1: I don't know, I keep going back to this very

622
00:35:36,800 --> 00:35:40,680
Speaker 1: feminist critique, but it's always you know, you know, how

623
00:35:42,880 --> 00:35:46,200
Speaker 1: how the you know, when they thought of the concept

624
00:35:46,239 --> 00:35:49,279
Speaker 1: of GDP, they did try to work out how to

625
00:35:49,400 --> 00:35:53,480
Speaker 1: include domestic labor into that equation, but they were like, noah,

626
00:35:53,560 --> 00:35:58,799
Speaker 1: it's too hard to measure. So they just didn't. They

627
00:35:58,840 --> 00:36:00,880
Speaker 1: were like where I could ask, like I don't know

628
00:36:01,040 --> 00:36:03,600
Speaker 1: someone who understands this, and they're like, no, no, we

629
00:36:03,680 --> 00:36:11,600
Speaker 1: won't ask a women. The dramatic they weren't they they'd

630
00:36:11,840 --> 00:36:17,920
Speaker 1: yes when they're not scientific. Yeah, exactly, just the academic

631
00:36:20,200 --> 00:36:24,360
Speaker 1: in the kitchen sad speaking, which we probably need to

632
00:36:24,400 --> 00:36:27,000
Speaker 1: clean the kitchen or something. Oh god, no, it's anti

633
00:36:27,080 --> 00:36:31,080
Speaker 1: feminist to clean in this room. We are surrounded by

634
00:36:31,560 --> 00:36:34,960
Speaker 1: the matriarchy. Oh you really are. There's literally like it

635
00:36:35,120 --> 00:36:43,440
Speaker 1: always comes down to genda, comes down to genda. I

636
00:36:43,480 --> 00:36:51,280
Speaker 1: hope you and it's over our Oh that's really good. Yeah, congratulations,

637
00:36:52,120 --> 00:36:57,600
Speaker 1: all right, next question, next question question? Um, oh, okay,

638
00:36:57,680 --> 00:36:59,360
Speaker 1: so there was was it not your go? No? I

639
00:36:59,440 --> 00:37:02,800
Speaker 1: had that. No, it is mad he wants to go.

640
00:37:03,840 --> 00:37:07,000
Speaker 1: There were there were questions so we could do the

641
00:37:08,280 --> 00:37:16,080
Speaker 1: round for oh yeah, the or the death community or

642
00:37:16,600 --> 00:37:18,360
Speaker 1: I feel like we can't really talk on that because

643
00:37:18,440 --> 00:37:24,239
Speaker 1: none of us we're not we're a third party. Well

644
00:37:24,320 --> 00:37:27,400
Speaker 1: that's the question, but that's not a question on the

645
00:37:27,520 --> 00:37:30,000
Speaker 1: list exactly what question you're going to ask, But is

646
00:37:30,040 --> 00:37:32,239
Speaker 1: it a question question? The question is like, can we

647
00:37:32,360 --> 00:37:36,719
Speaker 1: make commentary on like things the government he does none

648
00:37:36,719 --> 00:37:40,120
Speaker 1: of them are blinders. Their far they you know, some

649
00:37:40,280 --> 00:37:48,800
Speaker 1: of them. I think that. Okay, I thought, well if

650
00:37:48,880 --> 00:37:52,920
Speaker 1: people yes, so what they called people that stand on

651
00:37:53,040 --> 00:37:57,600
Speaker 1: behalf of people advocates? I found a good psychology question.

652
00:37:59,400 --> 00:38:02,440
Speaker 1: There is evidence that people give more to charity when

653
00:38:02,520 --> 00:38:06,440
Speaker 1: asked by someone wearing a designer label, what should we

654
00:38:06,560 --> 00:38:12,520
Speaker 1: make of this Gucci? Are they like saying that people

655
00:38:12,840 --> 00:38:15,840
Speaker 1: I would immediately? Are they saying that people with designer

656
00:38:15,920 --> 00:38:18,840
Speaker 1: labels are more trustworthy? You know what? Mere good? But

657
00:38:18,960 --> 00:38:21,840
Speaker 1: why are they more trustworthy because they're rich? Yeah? Like

658
00:38:22,160 --> 00:38:24,560
Speaker 1: have the stigma about and is it like, oh, well,

659
00:38:24,600 --> 00:38:27,440
Speaker 1: this rich person is asking me to give money to charity,

660
00:38:27,520 --> 00:38:30,200
Speaker 1: so they probably give money to charity and that's an

661
00:38:30,239 --> 00:38:32,160
Speaker 1: indication of wealth. And I want to seem wealthy and

662
00:38:32,239 --> 00:38:37,080
Speaker 1: I want to seem wealthy. Yeah, I want more tax deduction. Yeah.

663
00:38:37,560 --> 00:38:39,799
Speaker 1: I think Meg's point is really good. It's like if

664
00:38:39,840 --> 00:38:42,560
Speaker 1: we see someone wearing nice clothes, where we trust them,

665
00:38:42,960 --> 00:38:45,799
Speaker 1: we believe that they'll be honest. It's like our whole

666
00:38:45,960 --> 00:38:49,320
Speaker 1: values in Australia and Western society are based on like

667
00:38:49,680 --> 00:38:53,640
Speaker 1: success with the success and money. So many money aspects

668
00:38:54,480 --> 00:38:56,600
Speaker 1: are like that kind of concept. I feel like you

669
00:38:56,640 --> 00:38:59,160
Speaker 1: can extrapolate to so many different aspects of life. It's

670
00:38:59,200 --> 00:39:02,200
Speaker 1: kind of the same idea that underpins the whole. It's

671
00:39:02,239 --> 00:39:06,200
Speaker 1: not creepy of their heart. Oh yeah, when there was

672
00:39:06,320 --> 00:39:10,000
Speaker 1: attractive people do better in job interviews. Yeah, it was

673
00:39:10,040 --> 00:39:12,399
Speaker 1: a study in psychology. I just learned that last week

674
00:39:12,760 --> 00:39:16,319
Speaker 1: actually about if people do better in jobs. No, no, yeah,

675
00:39:16,320 --> 00:39:20,520
Speaker 1: And if you are a vehicle attractive person, you trust

676
00:39:20,600 --> 00:39:23,080
Speaker 1: them more because they're attracting, and so a designer label

677
00:39:23,120 --> 00:39:26,040
Speaker 1: could be seen as attractive like more culturally because it's like, yes,

678
00:39:26,120 --> 00:39:30,120
Speaker 1: an indication is such a beautiful that. There was this

679
00:39:30,280 --> 00:39:33,360
Speaker 1: Netflix show that I watched earlier this year called The Serpent,

680
00:39:33,480 --> 00:39:35,360
Speaker 1: and it was about this guy that like murdered a

681
00:39:35,440 --> 00:39:39,080
Speaker 1: bunch of backpackers in like the sis. It wasn't that

682
00:39:39,160 --> 00:39:42,240
Speaker 1: he was hot, it was that he was a fellow foreigner.

683
00:39:42,920 --> 00:39:45,759
Speaker 1: And I feel like when more traveler, you in that

684
00:39:45,920 --> 00:39:50,279
Speaker 1: group's more inclined to trust a fellow foreigner than you

685
00:39:50,400 --> 00:39:53,600
Speaker 1: are a local person. And that's sutually. I just had

686
00:39:53,640 --> 00:39:57,480
Speaker 1: a thought, Wow, apparently in Vietnam, in the Saigon, this

687
00:39:57,680 --> 00:40:01,360
Speaker 1: is such a tangent. No, in Vietnam, in Sigon, this

688
00:40:01,480 --> 00:40:04,560
Speaker 1: is not in any touristy area in like Southeast Age

689
00:40:04,640 --> 00:40:07,479
Speaker 1: or wherever. The touristy area is the one where people

690
00:40:07,520 --> 00:40:11,000
Speaker 1: get drink sparked. It's not the local area because it's

691
00:40:11,040 --> 00:40:13,640
Speaker 1: always the tourists are because people are like, oh, they're

692
00:40:13,680 --> 00:40:17,600
Speaker 1: fucking tourists, like dumb ass people. Yeah they're rich, but

693
00:40:17,680 --> 00:40:19,960
Speaker 1: they're so unaware of the culture around them at the moment.

694
00:40:20,040 --> 00:40:22,440
Speaker 1: But that's interesting because it is such a designer clothes

695
00:40:22,520 --> 00:40:25,480
Speaker 1: Like maybe maybe if you've got someone in the designer

696
00:40:25,520 --> 00:40:27,520
Speaker 1: clothes are asking you to give money, it feels less

697
00:40:27,600 --> 00:40:31,319
Speaker 1: like they're begging for money. Oh oh my god, because

698
00:40:31,320 --> 00:40:34,439
Speaker 1: it's less like they don't need it. But like, oh

699
00:40:34,560 --> 00:40:36,800
Speaker 1: my god, that's so true. That means it's like the

700
00:40:37,239 --> 00:40:39,440
Speaker 1: rich people always own the business, you know what I mean,

701
00:40:39,480 --> 00:40:41,759
Speaker 1: they're giving it to someone rich. I don't know if

702
00:40:41,760 --> 00:40:43,080
Speaker 1: that makes sense, but no, I do. I do know

703
00:40:43,160 --> 00:40:44,960
Speaker 1: what you mean. I was also going to say, it's

704
00:40:44,960 --> 00:40:46,919
Speaker 1: an idea of in groups and our groups. So people

705
00:40:46,960 --> 00:40:50,520
Speaker 1: who are wearing people who are wearing like designer labels,

706
00:40:50,840 --> 00:40:53,239
Speaker 1: you form this kind of in group that a you

707
00:40:53,360 --> 00:40:54,799
Speaker 1: also want to be a part of. Yeah, you want

708
00:40:54,800 --> 00:40:57,200
Speaker 1: to be a part of and you can see that, yeah,

709
00:40:57,320 --> 00:40:59,960
Speaker 1: or Western society want and the way that you can

710
00:41:00,000 --> 00:41:02,799
Speaker 1: and seem like you're part of the group is by donating.

711
00:41:03,800 --> 00:41:06,640
Speaker 1: You know. That's firstly like the social pretense of wanting

712
00:41:06,680 --> 00:41:10,320
Speaker 1: to be wanting to appear wealthy. But secondly it's the

713
00:41:10,400 --> 00:41:13,480
Speaker 1: thing of like I could be this person if I

714
00:41:13,600 --> 00:41:17,480
Speaker 1: gave more generously, like I don't look like the individual.

715
00:41:17,600 --> 00:41:20,879
Speaker 1: If I give more generously, like a very giving like generous, yeah,

716
00:41:21,239 --> 00:41:23,440
Speaker 1: or this is a rich people give, I'm going to

717
00:41:23,520 --> 00:41:25,600
Speaker 1: give and then I'll be wealthy like or you know,

718
00:41:25,640 --> 00:41:28,360
Speaker 1: I'll track. That's that's rude, not rude, But it's like

719
00:41:29,160 --> 00:41:31,960
Speaker 1: the people. It's not the people who are being there,

720
00:41:32,080 --> 00:41:34,759
Speaker 1: what you call the advocates for these charities. It's not

721
00:41:34,800 --> 00:41:40,239
Speaker 1: their fault, but like like they're they're calling on individuals

722
00:41:40,320 --> 00:41:43,520
Speaker 1: that like us, who are definitely not rich people like

723
00:41:43,600 --> 00:41:47,560
Speaker 1: there are billionaires that could donate like one thousand times

724
00:41:47,640 --> 00:41:49,960
Speaker 1: that what we could donate, but they call upon like

725
00:41:50,120 --> 00:41:52,239
Speaker 1: individuals like us. You know, you see people in the

726
00:41:52,400 --> 00:41:54,239
Speaker 1: you know, like I don't know, like well visioned in

727
00:41:54,280 --> 00:41:56,960
Speaker 1: the supermarket, in civic you know, and they calling on

728
00:41:57,040 --> 00:42:01,160
Speaker 1: people like as I just had a really good idea

729
00:42:01,239 --> 00:42:04,479
Speaker 1: oh my god, Okay, another that fast. If they're wearing

730
00:42:04,520 --> 00:42:08,640
Speaker 1: designer labels, it makes the company look more trustworthy because

731
00:42:08,640 --> 00:42:11,200
Speaker 1: it makes them look more professional. It makes them look

732
00:42:11,239 --> 00:42:13,080
Speaker 1: like they know how to spend their money more. It

733
00:42:13,200 --> 00:42:16,239
Speaker 1: makes them look more capable because if their employees or

734
00:42:16,239 --> 00:42:18,879
Speaker 1: the people who are who are asking for money look

735
00:42:19,000 --> 00:42:20,800
Speaker 1: like those that are a symbol of wealth and a

736
00:42:20,880 --> 00:42:24,600
Speaker 1: symbol of doing well, you might think like they actually

737
00:42:24,760 --> 00:42:27,160
Speaker 1: know what they're doing, because if this rich person is

738
00:42:27,160 --> 00:42:29,399
Speaker 1: supporting them, a rich person isn't going to waste their money.

739
00:42:29,480 --> 00:42:31,880
Speaker 1: But then I would think, like if I saw someone

740
00:42:32,040 --> 00:42:36,359
Speaker 1: working for like I don't know, what's a good world vision, yeah,

741
00:42:36,480 --> 00:42:39,200
Speaker 1: like and they were wearing design clothes, I'd be like, wow,

742
00:42:39,719 --> 00:42:42,440
Speaker 1: fast fashion, Yeah, are these clothes made the same. But

743
00:42:42,560 --> 00:42:45,839
Speaker 1: I'd actually trust someone who's wearing like not like who

744
00:42:45,960 --> 00:42:49,000
Speaker 1: was still clean that who was wearing like ethically made

745
00:42:49,239 --> 00:42:52,239
Speaker 1: clothes or like secondhand clothes, because oh my god, they

746
00:42:52,280 --> 00:42:55,279
Speaker 1: actually care, like you know about fast not this is

747
00:42:55,280 --> 00:42:57,640
Speaker 1: about fast fashion, but you know about like that's still

748
00:42:57,680 --> 00:43:02,160
Speaker 1: in in in what's a word, like less economically developed countries.

749
00:43:02,400 --> 00:43:04,920
Speaker 1: You know, I think it's always about experiences and what

750
00:43:05,040 --> 00:43:08,160
Speaker 1: appearance of the company attracts, like what you're attracted to,

751
00:43:08,320 --> 00:43:11,279
Speaker 1: what the audience is of the company advertiser if he

752
00:43:11,360 --> 00:43:13,560
Speaker 1: wants a company that you think is trustworthy, or like

753
00:43:13,680 --> 00:43:16,200
Speaker 1: if you want one that seems ethical, Like, how do

754
00:43:16,320 --> 00:43:19,480
Speaker 1: you navigate that in terms of presenting a brand? What

755
00:43:19,640 --> 00:43:25,880
Speaker 1: was the question charity? Sorry, oh I forgot there. We

756
00:43:25,960 --> 00:43:29,040
Speaker 1: were on a big I don't know. That's fine. It

757
00:43:29,239 --> 00:43:32,480
Speaker 1: wasn't one that I initially kind of flagged to do um,

758
00:43:32,800 --> 00:43:35,160
Speaker 1: but then it popped up and I thought, oh, that's

759
00:43:35,200 --> 00:43:38,839
Speaker 1: a bit of psychology. It was, Yes, it was why

760
00:43:39,280 --> 00:43:43,759
Speaker 1: are we more likely to donate to charity by people

761
00:43:43,800 --> 00:43:47,120
Speaker 1: wearing yes? Oh? That it does relate to what we're saying,

762
00:43:47,160 --> 00:43:52,640
Speaker 1: and complete tangent. We are on the right track with charity.

763
00:43:52,760 --> 00:43:54,480
Speaker 1: We were kind of yeah, but I think that's a

764
00:43:54,560 --> 00:43:56,560
Speaker 1: really interesting one. When was the last time you guys

765
00:43:56,560 --> 00:43:59,120
Speaker 1: don't edit to charity? I used to do it, Like

766
00:43:59,640 --> 00:44:02,160
Speaker 1: month they called me into doing a monthly thing to

767
00:44:02,239 --> 00:44:04,040
Speaker 1: the woodenness. I knew you were going to say the

768
00:44:04,040 --> 00:44:06,120
Speaker 1: world in society. They fucking called me and they like

769
00:44:06,400 --> 00:44:08,120
Speaker 1: I was like, they're like, do five dollars. I was

770
00:44:08,120 --> 00:44:10,359
Speaker 1: like yeah, And then he didn't say it was five

771
00:44:10,440 --> 00:44:12,279
Speaker 1: dollars more than what I was paying, so I paid

772
00:44:12,360 --> 00:44:14,759
Speaker 1: fifteen dollars and I was like, and then I rang

773
00:44:14,880 --> 00:44:17,000
Speaker 1: up by canceled. I had to ring up because I

774
00:44:17,040 --> 00:44:20,239
Speaker 1: couldn't do it online, and then they made me feel bad. Yes,

775
00:44:20,520 --> 00:44:22,759
Speaker 1: probably I can't. I was like, I can't afford it.

776
00:44:22,800 --> 00:44:29,400
Speaker 1: I'm a student. I always use that though. Oh um,

777
00:44:29,840 --> 00:44:33,400
Speaker 1: when Darwin went into like the snap lockdown when I

778
00:44:33,520 --> 00:44:37,719
Speaker 1: was home and the Fringe comedy festival that was the

779
00:44:37,760 --> 00:44:41,160
Speaker 1: week after got kind of pre emptively canceled, and they

780
00:44:41,239 --> 00:44:44,120
Speaker 1: gave you the offer to donate the money from your

781
00:44:44,200 --> 00:44:49,120
Speaker 1: tickets to charity. And my friend got like three hundred

782
00:44:49,120 --> 00:44:51,319
Speaker 1: dollars by the tickets. She was like and she was like, yeah, yeah,

783
00:44:51,560 --> 00:44:53,839
Speaker 1: I'll donate it. And then a couple of days later,

784
00:44:53,920 --> 00:45:06,440
Speaker 1: her car break. Sorry I need that money back. Honestly,

785
00:45:06,800 --> 00:45:11,759
Speaker 1: you attract my journe like sorry, like a struggling artside. Yeah,

786
00:45:12,520 --> 00:45:16,200
Speaker 1: I've decided that I'm really I want to self interest. Yeah,

787
00:45:16,280 --> 00:45:21,000
Speaker 1: Adam Smith, maybe he's right. Oh fuck, I remember the

788
00:45:21,080 --> 00:45:24,200
Speaker 1: one that really gets me is m Doctors without Borders.

789
00:45:24,640 --> 00:45:32,480
Speaker 1: I've heard that? Is that? Yes? Because it's gone. Fancier's

790
00:45:32,600 --> 00:45:40,799
Speaker 1: Median Okay, I think Edison on the front. Yeah. Um

791
00:45:41,400 --> 00:45:48,600
Speaker 1: mad He's like, yeah, I'll say it in Russian, you

792
00:45:48,680 --> 00:45:51,360
Speaker 1: say it in Arabic, you'll say it in Chinese, and

793
00:45:51,480 --> 00:45:53,520
Speaker 1: we can just all show off. I feel like this

794
00:45:53,640 --> 00:45:58,360
Speaker 1: could oh yeah, that question, but oh yeah, but can

795
00:45:58,440 --> 00:46:01,400
Speaker 1: I just yeah, but I just want to say, if

796
00:46:01,440 --> 00:46:03,239
Speaker 1: you haven't want to donate, you should definitely donate to

797
00:46:03,280 --> 00:46:06,520
Speaker 1: Doctor Without Borders because their ad campaign videos get me

798
00:46:06,680 --> 00:46:09,719
Speaker 1: every fucking time. I literally will watch them if I want.

799
00:46:10,239 --> 00:46:13,959
Speaker 1: I know, I know, I know A bit podcast sponsored me. Okay,

800
00:46:14,040 --> 00:46:21,640
Speaker 1: next question there was the happy One or multi Yeah,

801
00:46:22,280 --> 00:46:24,719
Speaker 1: I feel like that could segue well from guys, were

802
00:46:24,760 --> 00:46:27,799
Speaker 1: only like thirty six minutes and we have heaps of Well,

803
00:46:27,840 --> 00:46:31,919
Speaker 1: we're definitely getting into all souls. Ye, all souls? What's

804
00:46:31,960 --> 00:46:36,799
Speaker 1: all souls? This is I only know what. I don't

805
00:46:36,840 --> 00:46:38,920
Speaker 1: even know what it's called. I'm obviously not fucking getting No,

806
00:46:39,080 --> 00:46:47,279
Speaker 1: you're not. The question was does multi lingualism mean multiple identities?

807
00:46:48,840 --> 00:46:52,200
Speaker 1: Boom boom, And I think well I said that because

808
00:46:52,320 --> 00:46:56,160
Speaker 1: will we all speak different languages and definitely being in

809
00:46:56,280 --> 00:46:59,000
Speaker 1: a different country. Yeah, like you can't take on like

810
00:46:59,080 --> 00:47:01,160
Speaker 1: it was French, you take on the accent. It's like

811
00:47:01,239 --> 00:47:03,319
Speaker 1: the whole var you need the accent. Otherwise you can't

812
00:47:03,560 --> 00:47:07,319
Speaker 1: if you speak French without the accent to speaking Wrench

813
00:47:07,440 --> 00:47:10,279
Speaker 1: because it's like you don't, like you can't. Yeah, there's

814
00:47:10,320 --> 00:47:12,840
Speaker 1: not that you can't. If you don't say the accent,

815
00:47:13,080 --> 00:47:15,000
Speaker 1: you're not free. It's like, what the fuck is this

816
00:47:15,160 --> 00:47:19,040
Speaker 1: person doing. They're like, just we Vegan, Like you don't

817
00:47:19,120 --> 00:47:21,000
Speaker 1: say that she's Bee Megan, Like you just say it

818
00:47:21,160 --> 00:47:23,439
Speaker 1: like nicely. That's part of the idea. Yeah, it's partly

819
00:47:23,480 --> 00:47:27,200
Speaker 1: honesty exactly what do you want? No, but this morning

820
00:47:27,239 --> 00:47:32,560
Speaker 1: there was actually fourteen there was Yeah, it was I

821
00:47:32,800 --> 00:47:35,359
Speaker 1: did yeah, and Jazz was asleep. I was like, surely

822
00:47:35,440 --> 00:47:37,480
Speaker 1: jas is gonna wake up? Allowed I don't know. There's

823
00:47:37,520 --> 00:47:40,719
Speaker 1: one there, there's one every northeast southwest, never could be

824
00:47:40,760 --> 00:47:43,960
Speaker 1: weeks anyway, Oh very good. Um. But I remember when

825
00:47:44,000 --> 00:47:46,080
Speaker 1: I used to speak when I when I was in Russia,

826
00:47:46,200 --> 00:47:50,239
Speaker 1: I would like, my Russian was so Australian, so I'd

827
00:47:50,239 --> 00:47:51,640
Speaker 1: be like I would just use like I would just

828
00:47:51,680 --> 00:47:54,320
Speaker 1: say I speak Russian, and Russian says like, yeah, what

829
00:47:54,360 --> 00:47:58,319
Speaker 1: do you want to say to me? But I would

830
00:47:58,320 --> 00:48:02,320
Speaker 1: say yeah, par Ski, Yeah, but you no one to

831
00:48:02,480 --> 00:48:04,200
Speaker 1: you go over there, because I went French before I

832
00:48:04,280 --> 00:48:06,279
Speaker 1: went over, and I was like, so Australian. When I

833
00:48:06,320 --> 00:48:08,000
Speaker 1: went over, I was like, fun, why am I saying this?

834
00:48:08,320 --> 00:48:12,279
Speaker 1: So are you both saying that the different identity would

835
00:48:12,320 --> 00:48:14,759
Speaker 1: come from the different accent. I feel like it's an

836
00:48:15,200 --> 00:48:18,000
Speaker 1: indicative of the different identity you step into when you

837
00:48:18,080 --> 00:48:21,360
Speaker 1: go to The language is literally interconnected with identity. I

838
00:48:21,360 --> 00:48:25,399
Speaker 1: did see your twelve and I stick by it. Okay,

839
00:48:25,400 --> 00:48:27,160
Speaker 1: I didn't go that well in English, but I can

840
00:48:27,400 --> 00:48:30,920
Speaker 1: try to explain it. Um. No, it's just like the

841
00:48:31,080 --> 00:48:34,200
Speaker 1: word we use, the syntax, the semantics, the meaning behind

842
00:48:34,360 --> 00:48:38,080
Speaker 1: everything we say, like like Aussie is like we shorten things,

843
00:48:38,160 --> 00:48:40,799
Speaker 1: and that that in its way, it's like we say

844
00:48:40,880 --> 00:48:43,840
Speaker 1: like smoker when we say like servo or whatever, and

845
00:48:43,960 --> 00:48:46,960
Speaker 1: that in its way is like we're like lazy. We

846
00:48:47,080 --> 00:48:50,920
Speaker 1: are we're lazy, and we're like, yeah, casual and lazy.

847
00:48:51,000 --> 00:48:54,560
Speaker 1: I think um in a general like genuine, very generalized,

848
00:48:54,600 --> 00:48:59,120
Speaker 1: stereotypical way, but like um compared compared to like yeah French,

849
00:48:59,200 --> 00:49:02,920
Speaker 1: where it's like eloquent, yeah, like it's sounding beautiful and

850
00:49:03,120 --> 00:49:06,200
Speaker 1: like all these like you say these sayings, like these

851
00:49:06,239 --> 00:49:09,920
Speaker 1: phrases and because you say this, you know, like metaphors,

852
00:49:10,040 --> 00:49:13,399
Speaker 1: you sound more, you're eloquent, more like that, And maybe

853
00:49:13,440 --> 00:49:15,360
Speaker 1: that's a part of I feel like it is you

854
00:49:15,400 --> 00:49:18,600
Speaker 1: do have different identities because it's like what the language

855
00:49:18,640 --> 00:49:22,120
Speaker 1: really shows what people value in that culture and even

856
00:49:22,160 --> 00:49:24,759
Speaker 1: the way of like forming sentences. I also feel like

857
00:49:24,800 --> 00:49:26,719
Speaker 1: when you step into a different culture and you speak

858
00:49:26,719 --> 00:49:29,200
Speaker 1: a different language, you start to identify with different people,

859
00:49:29,840 --> 00:49:33,080
Speaker 1: and just by inherent nature, you start to identify with

860
00:49:33,200 --> 00:49:37,000
Speaker 1: people of different backgrounds and of different like cultural values.

861
00:49:38,719 --> 00:49:44,759
Speaker 1: I'm getting hot, we're sitting next to the heater. Guys.

862
00:49:44,840 --> 00:49:47,320
Speaker 1: Now that actually that's a weird example because like in

863
00:49:47,440 --> 00:49:51,080
Speaker 1: the Arab world, it's beauty for women is very big,

864
00:49:51,239 --> 00:49:54,759
Speaker 1: like it's like, well, like to be fair, like there

865
00:49:54,840 --> 00:49:57,560
Speaker 1: isn't much natural like outdoorsy stuff, which is what I

866
00:49:57,600 --> 00:50:00,279
Speaker 1: would usually be into. So that even like the when

867
00:50:00,280 --> 00:50:01,880
Speaker 1: I was over there, I like, obviously I don't I

868
00:50:01,880 --> 00:50:04,000
Speaker 1: actually do like anyone nails and stuff, but I like

869
00:50:04,120 --> 00:50:07,200
Speaker 1: I would love and like everyone vibed getting their nails

870
00:50:07,280 --> 00:50:09,600
Speaker 1: and everyone vibed having their hair and makeup. Really now,

871
00:50:09,640 --> 00:50:11,560
Speaker 1: so it's like I can actually do this and I

872
00:50:11,640 --> 00:50:13,920
Speaker 1: don't like in Australia. I love to go in the

873
00:50:14,000 --> 00:50:15,960
Speaker 1: outdoors and I love to be you know you as

874
00:50:16,000 --> 00:50:18,800
Speaker 1: you know, like all this sporty stuff in when I

875
00:50:18,880 --> 00:50:20,279
Speaker 1: was in the arab when I was in Jordan, I

876
00:50:20,400 --> 00:50:22,640
Speaker 1: was like, oh I can, like I don't. I can't

877
00:50:22,680 --> 00:50:24,600
Speaker 1: do that because there's no option to do that. I'll

878
00:50:24,640 --> 00:50:29,120
Speaker 1: go to their culture and I'll do my hair. Yeah, yeah,

879
00:50:29,280 --> 00:50:31,440
Speaker 1: I know. It was just like you feel more immersed

880
00:50:31,480 --> 00:50:33,960
Speaker 1: in it, and therefore you feel more like, yeah, all right, Maddie,

881
00:50:33,960 --> 00:50:36,040
Speaker 1: you actually lived in China, so let's talk about her

882
00:50:36,120 --> 00:50:38,320
Speaker 1: to her. So we've all lived in the countries that

883
00:50:38,480 --> 00:50:41,319
Speaker 1: we have. We speak a language job, so I feel

884
00:50:41,360 --> 00:50:43,480
Speaker 1: like it's kind of difficult because when when you're back

885
00:50:43,480 --> 00:50:46,000
Speaker 1: in Australia, I have not spoken Russian to anyone for

886
00:50:46,040 --> 00:50:48,200
Speaker 1: about a year. It's so hard because the context of

887
00:50:48,480 --> 00:50:51,239
Speaker 1: us is Shalan. Yeah, no one speaks Russian here. I

888
00:50:51,360 --> 00:50:54,480
Speaker 1: feel like when I first lived in China and I

889
00:50:54,600 --> 00:50:58,319
Speaker 1: didn't speak good Chinese at this point, and the job

890
00:50:58,400 --> 00:51:02,880
Speaker 1: that I had in Guangga back in twenty seventeen, I

891
00:51:03,160 --> 00:51:05,279
Speaker 1: was the only foreigner there and something that I really

892
00:51:05,320 --> 00:51:09,759
Speaker 1: struggled with linguistically was when people would ask me to

893
00:51:09,840 --> 00:51:16,000
Speaker 1: do things. Yeah, in in Chinese, and the requests sound

894
00:51:17,400 --> 00:51:20,279
Speaker 1: much more direct in Chinese they do in English because

895
00:51:20,560 --> 00:51:23,800
Speaker 1: in English, yeah, you don't just please and thank you

896
00:51:23,840 --> 00:51:28,160
Speaker 1: as often, and Chinese doesn't have as many pillow Well, yes,

897
00:51:28,400 --> 00:51:33,480
Speaker 1: the filler is like you please. I think we really

898
00:51:33,560 --> 00:51:36,040
Speaker 1: a a special piment. We love to head your language.

899
00:51:36,960 --> 00:51:40,920
Speaker 1: Really sorry, I'm sorry to bother, but if you have time,

900
00:51:41,120 --> 00:51:46,880
Speaker 1: could you really possible possible please if ye do this?

901
00:51:47,160 --> 00:51:50,680
Speaker 1: But something I also really thought about and just on

902
00:51:50,760 --> 00:51:53,359
Speaker 1: the accent topic quickly with like Chinese, I think it's

903
00:51:53,440 --> 00:51:57,200
Speaker 1: a whole um different ball game there because it's a

904
00:51:57,320 --> 00:51:59,200
Speaker 1: tonal language. So it's it's kind of like if you

905
00:51:59,280 --> 00:52:02,600
Speaker 1: don't have of somewhat of a good accent, you're completely like,

906
00:52:02,719 --> 00:52:06,960
Speaker 1: actually don't you're understood, yeahs understood, Yeah you can't. So

907
00:52:07,160 --> 00:52:09,759
Speaker 1: being adopting the language means that like you do have

908
00:52:09,840 --> 00:52:12,640
Speaker 1: a different identitally because otherwise you can't communicate with people.

909
00:52:12,880 --> 00:52:15,000
Speaker 1: So it's like you have to do it because you

910
00:52:15,280 --> 00:52:19,399
Speaker 1: can't speak a language without having the accent basically the language. Yeah,

911
00:52:19,480 --> 00:52:22,400
Speaker 1: at least having I think I think you have less

912
00:52:22,640 --> 00:52:27,479
Speaker 1: flexibility with your pronunciation when it's a tonal language. Yeah,

913
00:52:28,200 --> 00:52:30,160
Speaker 1: what do they think? Like you know what I mean, Like,

914
00:52:30,400 --> 00:52:32,680
Speaker 1: what do French whip when we speak Aussie French? Like

915
00:52:32,760 --> 00:52:34,279
Speaker 1: do they like, oh if when we just when they

916
00:52:34,400 --> 00:52:37,279
Speaker 1: hear it, they would just think of it. They could

917
00:52:37,360 --> 00:52:39,520
Speaker 1: understand what the fuck is it? But actually, can I

918
00:52:39,640 --> 00:52:41,160
Speaker 1: say this about what you were saying? Like when you

919
00:52:41,239 --> 00:52:43,160
Speaker 1: go to France or when I was in like Russia,

920
00:52:43,200 --> 00:52:45,000
Speaker 1: and you know, the accent was such a huge part.

921
00:52:45,600 --> 00:52:47,759
Speaker 1: Perhaps people who were speaking French or people who were

922
00:52:47,760 --> 00:52:52,239
Speaker 1: speaking Russian who come to Australia are equally like, oh

923
00:52:52,320 --> 00:52:54,279
Speaker 1: my god, I feel like I can't actually get into

924
00:52:54,320 --> 00:52:56,840
Speaker 1: this culture because the Aussies have such a strange Jackson.

925
00:52:56,920 --> 00:52:59,200
Speaker 1: That's why so important to travel and like understanding that

926
00:52:59,200 --> 00:53:02,239
Speaker 1: because we want stand if a French, if like a

927
00:53:02,600 --> 00:53:06,040
Speaker 1: you know whoever, like a international person came to Alan,

928
00:53:06,120 --> 00:53:08,160
Speaker 1: I'll be like, oh, that's so like they're speaking English,

929
00:53:08,239 --> 00:53:11,200
Speaker 1: like that's amazing, you know, but they're like people like

930
00:53:11,320 --> 00:53:13,880
Speaker 1: to stand as He's like I often got that was

931
00:53:13,960 --> 00:53:16,520
Speaker 1: like when I was in Russia, Like people couldn't understand

932
00:53:16,600 --> 00:53:20,600
Speaker 1: my English. Like sometimes even though they suppose English, it's

933
00:53:20,920 --> 00:53:23,560
Speaker 1: was American or American American. That's a big problem and

934
00:53:23,560 --> 00:53:25,560
Speaker 1: then I'd be there like heavy on the vows as

935
00:53:25,680 --> 00:53:30,839
Speaker 1: much as as much the dialect interesting of Nash. Yeah,

936
00:53:31,560 --> 00:53:34,160
Speaker 1: do you find because when whenever I go back to Queensland,

937
00:53:34,320 --> 00:53:38,120
Speaker 1: my my Australian accident just like what's what? That's what? Like?

938
00:53:38,600 --> 00:53:40,680
Speaker 1: No ither when my brother went to queens and when

939
00:53:40,719 --> 00:53:44,920
Speaker 1: he came back his accident was so Queensland. I was like, Kay,

940
00:53:45,160 --> 00:53:46,840
Speaker 1: have you notice that when we were in Queensland was

941
00:53:46,920 --> 00:53:49,239
Speaker 1: my accent stronger? Or did you not really notice? I

942
00:53:49,360 --> 00:53:51,759
Speaker 1: didn't notice. What you're gonna say, Maybe you had a

943
00:53:51,800 --> 00:53:56,680
Speaker 1: point I thing. I wanted that down, yes, back down

944
00:53:57,480 --> 00:54:02,160
Speaker 1: to the ground and the movement. I find really interesting

945
00:54:02,280 --> 00:54:06,560
Speaker 1: about Chinese, particularly now that we're having a huge conversation

946
00:54:06,600 --> 00:54:10,440
Speaker 1: about pronouns, is that I've spoken Chinese. There is no

947
00:54:10,640 --> 00:54:16,960
Speaker 1: differentiation between men and women. Everyone is tart. Is that you?

948
00:54:17,239 --> 00:54:20,200
Speaker 1: Or is that he? She? Oh? Really that is cool

949
00:54:20,239 --> 00:54:25,279
Speaker 1: because everybody's complete its Yeah, it's everyone is tar. It's

950
00:54:25,280 --> 00:54:28,040
Speaker 1: only when you write like and you want to say

951
00:54:28,160 --> 00:54:30,759
Speaker 1: tar blah blah blah as in a woman that you

952
00:54:30,880 --> 00:54:35,600
Speaker 1: use a different use of female radical And interestingly, when

953
00:54:35,680 --> 00:54:38,080
Speaker 1: you use the tar character for a man, it's not

954
00:54:38,200 --> 00:54:43,239
Speaker 1: a male radical. It is the person radical because man

955
00:54:43,600 --> 00:54:46,680
Speaker 1: is the default human. And when you say they in

956
00:54:46,880 --> 00:54:52,080
Speaker 1: Chinese the default human in Chinese, or in Chinese, what's

957
00:54:52,080 --> 00:54:54,840
Speaker 1: the default human? Is it person? Like you know what

958
00:54:54,840 --> 00:54:57,760
Speaker 1: I mean? Because I'm referring to like, what's that object

959
00:54:57,880 --> 00:54:59,759
Speaker 1: over there? Associate it's a chair? Would you say that

960
00:54:59,800 --> 00:55:04,960
Speaker 1: most objects in a male or it or it is

961
00:55:05,000 --> 00:55:09,120
Speaker 1: not gender? But but the it is also tar. Oh yeah,

962
00:55:09,200 --> 00:55:13,560
Speaker 1: but a different character because but so you don't use

963
00:55:13,680 --> 00:55:18,080
Speaker 1: that word that often in Chinese, because Chinese doesn't you

964
00:55:18,160 --> 00:55:22,960
Speaker 1: don't really repeat the subject first time, that doesn't really arise.

965
00:55:23,120 --> 00:55:25,400
Speaker 1: But when you want to say like they and you

966
00:55:25,520 --> 00:55:29,279
Speaker 1: use the tar character plus the character that indicates like

967
00:55:30,080 --> 00:55:35,480
Speaker 1: like the plurality, you use the male tar character and

968
00:55:35,719 --> 00:55:41,320
Speaker 1: something as well, words like like jealousy in Chinese, that

969
00:55:41,480 --> 00:55:45,000
Speaker 1: that has a female radical, And I think that's interesting.

970
00:55:45,600 --> 00:55:48,280
Speaker 1: So that a cultural I don't wonder if that shapes

971
00:55:48,320 --> 00:55:52,000
Speaker 1: the way that you think about gender. But yeah, English, Yeah,

972
00:55:52,040 --> 00:55:54,879
Speaker 1: that's good. That's actually been researched quite like a lot.

973
00:55:55,320 --> 00:55:58,480
Speaker 1: It's like the gender like the genders of certain nouns

974
00:56:00,040 --> 00:56:03,320
Speaker 1: French Enguish shapes because English doesn't have genders, does it

975
00:56:03,480 --> 00:56:06,760
Speaker 1: not really like you say, like you know, like vehicles

976
00:56:06,840 --> 00:56:09,279
Speaker 1: or cheese and you're like or in that sense. No,

977
00:56:09,360 --> 00:56:12,239
Speaker 1: but it's like you know, like I like lamp over there,

978
00:56:12,360 --> 00:56:18,080
Speaker 1: I'm it's not hurt in Italian, like lamp might be feminine.

979
00:56:18,200 --> 00:56:20,680
Speaker 1: Yeah in French yeah, or like whatever. And I don't

980
00:56:20,719 --> 00:56:23,600
Speaker 1: know like the radical or what about the but like

981
00:56:23,920 --> 00:56:25,880
Speaker 1: English doesn't have it, but then English, I feel like

982
00:56:26,440 --> 00:56:32,080
Speaker 1: every English speaking country there's definitely gender issues. Yeah, but

983
00:56:32,480 --> 00:56:34,920
Speaker 1: I searched up what are the matria I remember this,

984
00:56:35,200 --> 00:56:38,480
Speaker 1: What are the matriarchies in like the world. Yeah, I

985
00:56:38,560 --> 00:56:41,719
Speaker 1: can't remember. There was one in like Tibet kind of

986
00:56:41,800 --> 00:56:44,400
Speaker 1: China area. I just remember that somewhere there there was

987
00:56:44,400 --> 00:56:47,399
Speaker 1: like a huge matriarchy society. Yeah, that's one in East

988
00:56:47,400 --> 00:56:49,880
Speaker 1: Africa as well. Yeah. Like it's really cool as a

989
00:56:49,920 --> 00:56:53,480
Speaker 1: psyche kind of talking about psychology like and linguistics and

990
00:56:53,520 --> 00:56:56,640
Speaker 1: the intersection between linguistics and even sociology, like doing a

991
00:56:56,680 --> 00:57:00,920
Speaker 1: triple discipline on this on this topic, heaps of fun,

992
00:57:01,000 --> 00:57:03,960
Speaker 1: but like it would be really really interesting to think

993
00:57:04,000 --> 00:57:09,040
Speaker 1: about perspectives on gender and respect around gender and gender

994
00:57:09,160 --> 00:57:11,880
Speaker 1: hierarchy based on how language treats it, which kind of

995
00:57:11,920 --> 00:57:16,480
Speaker 1: comes into cultural identity like oh yeah, yeah, so interconnected.

996
00:57:16,560 --> 00:57:18,840
Speaker 1: Like the language you use is like we were talking

997
00:57:18,840 --> 00:57:22,400
Speaker 1: about with the deaf blind thing, language is primarily your

998
00:57:22,440 --> 00:57:25,680
Speaker 1: main mode of communication. So and it becomes almost like

999
00:57:25,800 --> 00:57:29,120
Speaker 1: unconscious and implicit. So if your language is treating a

1000
00:57:29,200 --> 00:57:32,680
Speaker 1: gender in a certain way, even just in its semantics,

1001
00:57:32,960 --> 00:57:35,160
Speaker 1: how does that translate or where did that come from?

1002
00:57:36,440 --> 00:57:39,640
Speaker 1: Really gets like in Russia and it's like, oh, it's

1003
00:57:39,640 --> 00:57:43,680
Speaker 1: just like everything is gendered. Everything is gender object. It's

1004
00:57:43,680 --> 00:57:46,840
Speaker 1: a female object now like they is it in arig

1005
00:57:46,920 --> 00:57:49,960
Speaker 1: it's they sheet or they have the distinction between genders

1006
00:57:50,040 --> 00:57:52,400
Speaker 1: is so much stronger. Yeah, but how would you if

1007
00:57:52,440 --> 00:57:55,120
Speaker 1: you were like I'm like, what's the word non binary?

1008
00:57:55,960 --> 00:57:59,160
Speaker 1: Like equi any other languages? That's just another thing? How

1009
00:57:59,200 --> 00:58:01,720
Speaker 1: would you become You wouldn't have an identity in another

1010
00:58:01,800 --> 00:58:04,640
Speaker 1: language because you're not a you're not that, you're not

1011
00:58:04,800 --> 00:58:07,400
Speaker 1: like it or in Chinese, yes, but in Arabican, Russian

1012
00:58:08,880 --> 00:58:12,520
Speaker 1: not a day, Like there's no that. You can't be poor,

1013
00:58:12,560 --> 00:58:14,760
Speaker 1: you can't be you can't yeah, you're either. It's really

1014
00:58:14,840 --> 00:58:17,600
Speaker 1: hard for like growing world though, because like how how

1015
00:58:17,680 --> 00:58:21,240
Speaker 1: are people who are non binary or that was their identity,

1016
00:58:22,960 --> 00:58:27,720
Speaker 1: linguistic background, it's very historical. It was a very history.

1017
00:58:27,760 --> 00:58:31,919
Speaker 1: You would definitely get into Oxford College with that. Yeah,

1018
00:58:32,320 --> 00:58:36,000
Speaker 1: that was so fucking true. Oh my god, myself, it

1019
00:58:36,160 --> 00:58:37,960
Speaker 1: was really interesting. I did not even think about that

1020
00:58:38,040 --> 00:58:39,760
Speaker 1: for really listening to this, because I forgot. Oh yeah,

1021
00:58:40,080 --> 00:58:44,959
Speaker 1: and you need a bit of a positivity. I've alway

1022
00:58:45,000 --> 00:58:46,880
Speaker 1: just send this to Oxford and be like, here you go,

1023
00:58:47,040 --> 00:58:50,360
Speaker 1: what are your thoughts? Give me like some constructive three

1024
00:58:50,520 --> 00:58:57,160
Speaker 1: PhD fundfully change and I would like to work on

1025
00:58:58,120 --> 00:59:00,720
Speaker 1: I don't know. I don't think I would climentase is

1026
00:59:00,760 --> 00:59:03,080
Speaker 1: too big. What would you Okay, wait, kind of an interest,

1027
00:59:03,280 --> 00:59:06,280
Speaker 1: like a bit of a movement away, what would you

1028
00:59:06,320 --> 00:59:08,480
Speaker 1: do your PhD on? And if you could in the

1029
00:59:08,600 --> 00:59:14,680
Speaker 1: next five years, maybe fires in Australia, something to do

1030
00:59:14,800 --> 00:59:18,919
Speaker 1: with bush fires, something something local though, Yeah, what would

1031
00:59:18,920 --> 00:59:26,960
Speaker 1: you do your PhD on? Mm hmm, well, gender, that's gender. Yeah,

1032
00:59:27,680 --> 00:59:30,200
Speaker 1: that's so it's so hard to narrow down. I think

1033
00:59:30,360 --> 00:59:35,640
Speaker 1: I'm really interested in social media and democracy, but I'm

1034
00:59:35,640 --> 00:59:38,960
Speaker 1: also really interested in, you know, the Australian China space

1035
00:59:40,400 --> 00:59:43,919
Speaker 1: is social mode a new form of imperialism. I don't

1036
00:59:43,960 --> 00:59:48,480
Speaker 1: know what that means. I would do my PhD on

1037
00:59:49,080 --> 00:59:52,640
Speaker 1: false memories and the prevalence of false memories. But then

1038
00:59:52,680 --> 00:59:54,920
Speaker 1: I also, is there such thing as a true memory? No?

1039
00:59:55,880 --> 00:59:59,640
Speaker 1: Absolutely is not. There is absolutely no. Okay, don't say much.

1040
01:00:00,000 --> 01:00:03,600
Speaker 1: I'm sorry. I'm sorry psychology I could not do. It's

1041
01:00:03,640 --> 01:00:09,280
Speaker 1: just sociology. Psychology. I would just how is it as

1042
01:00:09,320 --> 01:00:12,720
Speaker 1: a psychology student do you find it hard to navigate

1043
01:00:12,760 --> 01:00:18,360
Speaker 1: the duality of kind of having that elevated self awareness

1044
01:00:18,480 --> 01:00:20,400
Speaker 1: of why you think the way that you do and

1045
01:00:20,560 --> 01:00:23,720
Speaker 1: what kind of like thinking traps you're susceptible too, and

1046
01:00:23,840 --> 01:00:27,480
Speaker 1: at the same time still being susceptible to them. You

1047
01:00:27,560 --> 01:00:29,600
Speaker 1: know what, It really sucks because you would think, so

1048
01:00:29,760 --> 01:00:33,400
Speaker 1: this is the thing with unconscious processes. Being aware of

1049
01:00:33,560 --> 01:00:36,919
Speaker 1: them doesn't actually do anything. So I have this issue

1050
01:00:37,000 --> 01:00:40,800
Speaker 1: or unt involuntary. Absolutely, I get stuck in thinking traps

1051
01:00:40,840 --> 01:00:43,760
Speaker 1: all the time, like, and I know why they occur.

1052
01:00:43,960 --> 01:00:46,080
Speaker 1: I know, like it's really crazy because I'll go into

1053
01:00:46,120 --> 01:00:49,400
Speaker 1: my therapist office and that's true and what happens. But

1054
01:00:50,400 --> 01:00:52,600
Speaker 1: I'm like I already already know, Like she'll be like, oh,

1055
01:00:52,760 --> 01:00:54,680
Speaker 1: we should do this, and I'm like yeah, But like

1056
01:00:54,760 --> 01:00:56,280
Speaker 1: the other day she was like, we should do DT

1057
01:00:56,720 --> 01:00:59,840
Speaker 1: and I was dialectical menial therapy and I was like, oh,

1058
01:01:00,040 --> 01:01:02,240
Speaker 1: but I know that it has this downside and it's

1059
01:01:02,280 --> 01:01:04,240
Speaker 1: actually not going to work for me because I know

1060
01:01:04,400 --> 01:01:05,960
Speaker 1: that this is an issue with it and actually I

1061
01:01:06,040 --> 01:01:09,000
Speaker 1: didn't have this background, so talking about it will actually

1062
01:01:09,000 --> 01:01:10,960
Speaker 1: be worse for me. And She's but it's very that's

1063
01:01:11,120 --> 01:01:14,280
Speaker 1: very specific. That's like a one line thing, but it's

1064
01:01:14,320 --> 01:01:17,160
Speaker 1: like every individence or intrusive thoughts as well. I'm like,

1065
01:01:17,200 --> 01:01:19,240
Speaker 1: I know exactly why I'm getting intrusive thoughts. I know

1066
01:01:19,360 --> 01:01:23,280
Speaker 1: exactly and all the process behind it, but like I

1067
01:01:23,360 --> 01:01:25,640
Speaker 1: still get the two edge saw it again. Yes it

1068
01:01:25,840 --> 01:01:29,600
Speaker 1: kind of sucks. Yeah, all like that the whole thing

1069
01:01:29,640 --> 01:01:31,880
Speaker 1: about I always I think this all the time, and

1070
01:01:31,960 --> 01:01:34,520
Speaker 1: I know it's quite like I would say, it's not privilege,

1071
01:01:34,520 --> 01:01:36,560
Speaker 1: but just like privilege and the fact that I have

1072
01:01:37,680 --> 01:01:40,840
Speaker 1: like we all have quite big brains, you know brains

1073
01:01:41,880 --> 01:01:44,400
Speaker 1: have the tiny head though, so really I feel like

1074
01:01:44,440 --> 01:01:46,200
Speaker 1: I have a big head, medium head. I was like,

1075
01:01:46,440 --> 01:01:51,560
Speaker 1: mine's pretty big? Is big? Yea here? I used to

1076
01:01:51,640 --> 01:01:53,320
Speaker 1: get my parents as to call me sure I have

1077
01:01:53,400 --> 01:01:57,919
Speaker 1: a square Wait wait, what was the privilege? Yeah, it's

1078
01:01:57,960 --> 01:02:02,000
Speaker 1: like um would you rather this is I don't think

1079
01:02:02,040 --> 01:02:04,040
Speaker 1: this is a very ethical question, so I probably wouldn't

1080
01:02:04,040 --> 01:02:06,720
Speaker 1: be on that question on that board exam. But like,

1081
01:02:06,840 --> 01:02:09,919
Speaker 1: would you rather be I think I've said this intelligence,

1082
01:02:10,320 --> 01:02:14,360
Speaker 1: intelligent and have mental health anxiety issues, overthinking issues, or

1083
01:02:14,520 --> 01:02:16,840
Speaker 1: dumb and not because you and not even think about

1084
01:02:16,880 --> 01:02:18,480
Speaker 1: it because you're dumb and you won't think that in

1085
01:02:18,560 --> 01:02:21,640
Speaker 1: your words, Okay, would you rather be smart and have

1086
01:02:21,760 --> 01:02:23,840
Speaker 1: to deal with like fucked thinking or would you rather

1087
01:02:24,080 --> 01:02:26,400
Speaker 1: data and not have to think about But then also

1088
01:02:26,480 --> 01:02:29,600
Speaker 1: if you're dumb, you get susceptible to capitalism and you

1089
01:02:29,680 --> 01:02:32,200
Speaker 1: get to you work for nothing and you work hard

1090
01:02:32,280 --> 01:02:35,040
Speaker 1: for nothing. No, but that's not true. Yeah, but no,

1091
01:02:35,120 --> 01:02:37,080
Speaker 1: but that's like lots of people, Yes, it is in

1092
01:02:37,320 --> 01:02:41,960
Speaker 1: insenses in lots of cases, people don't know what's out

1093
01:02:42,000 --> 01:02:48,480
Speaker 1: there right now. Like some people just don't know what's

1094
01:02:48,520 --> 01:02:51,400
Speaker 1: out there. They haven't had that access and they or

1095
01:02:51,440 --> 01:02:53,920
Speaker 1: they haven't and they don't know what they can literally

1096
01:02:53,960 --> 01:02:55,760
Speaker 1: like do think they can do what they want for

1097
01:02:55,880 --> 01:02:58,080
Speaker 1: so much easier, they can have such a good life,

1098
01:02:58,120 --> 01:03:01,240
Speaker 1: but they haven't seen it and they're working so hard.

1099
01:03:01,760 --> 01:03:04,000
Speaker 1: I don't know, it really depends because like I had

1100
01:03:04,080 --> 01:03:06,000
Speaker 1: this like awful experience at the start of the year,

1101
01:03:06,560 --> 01:03:09,320
Speaker 1: it changes where I'm like, it's so fucked. But it's

1102
01:03:09,360 --> 01:03:11,800
Speaker 1: like I know that being an intelligent person means that,

1103
01:03:11,920 --> 01:03:14,120
Speaker 1: like it comes with so much. The amount of time

1104
01:03:14,120 --> 01:03:17,160
Speaker 1: I'm in my own head is like absolutely sickening. Sometimes

1105
01:03:17,200 --> 01:03:18,800
Speaker 1: I just wish that I could just pull out my

1106
01:03:18,880 --> 01:03:20,880
Speaker 1: mind and like put it on a table so I

1107
01:03:20,920 --> 01:03:23,160
Speaker 1: could just like be this like little figure that just

1108
01:03:23,240 --> 01:03:26,160
Speaker 1: doesn't think about stuff. It does not thinking about stuff

1109
01:03:26,200 --> 01:03:28,320
Speaker 1: necessarily mean that you're not intelligent, or is it just

1110
01:03:28,400 --> 01:03:32,840
Speaker 1: that you're better able to sign thoughts? I don't know, meditation, baby,

1111
01:03:33,600 --> 01:03:36,320
Speaker 1: maybe if you just meditate here, mean you like if

1112
01:03:36,360 --> 01:03:38,680
Speaker 1: I didn't, if I didn't even have to think about meditating,

1113
01:03:38,760 --> 01:03:41,320
Speaker 1: and my thoughts just like went through. It's just like guys,

1114
01:03:41,360 --> 01:03:43,720
Speaker 1: I feel like they just don't think. So guys are dumb,

1115
01:03:43,920 --> 01:03:50,320
Speaker 1: maybe emotionally the intelligence, I don't know what, like internal intelligence.

1116
01:03:50,520 --> 01:03:53,120
Speaker 1: Every man I've ever known has been a little bit stupid. Yeah,

1117
01:03:53,120 --> 01:03:55,840
Speaker 1: but they just don't they don't care. It's more, it's

1118
01:03:55,880 --> 01:03:57,360
Speaker 1: not like they aren't caring a bad bad they just

1119
01:03:57,480 --> 01:04:00,400
Speaker 1: don't care. Like they just like I don't think it's true.

1120
01:04:00,840 --> 01:04:03,960
Speaker 1: I don't think that's true. I maybe a lot of

1121
01:04:04,440 --> 01:04:06,080
Speaker 1: I feel like there are some that I've met who

1122
01:04:06,080 --> 01:04:08,320
Speaker 1: are very but this is more about like anxiousness rather

1123
01:04:08,360 --> 01:04:12,240
Speaker 1: than intelligence. You know. Wait wait wait, wait, wait, Naddie answered, sorry,

1124
01:04:12,440 --> 01:04:16,400
Speaker 1: I didn't stay with you. I think I think that

1125
01:04:17,480 --> 01:04:22,600
Speaker 1: being of a higher intelligence naturally makes you have a

1126
01:04:22,800 --> 01:04:28,120
Speaker 1: greater degree of existential awareness, which can make you more depressed.

1127
01:04:28,240 --> 01:04:30,560
Speaker 1: But I think that at the same time, I think

1128
01:04:30,640 --> 01:04:34,440
Speaker 1: it also allows you to have maybe richer experiences formed

1129
01:04:34,520 --> 01:04:37,600
Speaker 1: deeper connections, And I think the downside of that is

1130
01:04:37,640 --> 01:04:40,240
Speaker 1: that the things that you feel to perhaps a more

1131
01:04:40,480 --> 01:04:43,560
Speaker 1: like heightened extreme in a good way, that you might

1132
01:04:43,640 --> 01:04:48,000
Speaker 1: get to feel um at an above average level, to

1133
01:04:49,280 --> 01:04:53,080
Speaker 1: um someone that is like unimplined to thinking in deeper ways,

1134
01:04:53,960 --> 01:04:57,000
Speaker 1: and you appreciate the same more time. It comes with

1135
01:04:57,440 --> 01:05:01,080
Speaker 1: feeling the lows more acutely. So it just depends whether

1136
01:05:01,120 --> 01:05:05,000
Speaker 1: you want to kind of have consistency and a more

1137
01:05:05,160 --> 01:05:09,320
Speaker 1: Plato stable life. But that's like shit, because like it's

1138
01:05:09,440 --> 01:05:11,920
Speaker 1: all relative. Like if we're happy, it means we've had

1139
01:05:11,920 --> 01:05:15,520
Speaker 1: to have sad times, you know, absolutely, But yeah, that's question.

1140
01:05:15,720 --> 01:05:17,920
Speaker 1: How do we how can we know if we are happy?

1141
01:05:18,680 --> 01:05:21,200
Speaker 1: I might just might have to move on to that's

1142
01:05:21,320 --> 01:05:25,840
Speaker 1: another point. Um, I just feel so bad, like why

1143
01:05:26,720 --> 01:05:29,000
Speaker 1: I wish everyone like, you know, do you ever feel

1144
01:05:29,080 --> 01:05:31,800
Speaker 1: so bad about like people? Like why aren't they? You know,

1145
01:05:31,840 --> 01:05:33,240
Speaker 1: they could do so many things. I don't know. I

1146
01:05:33,320 --> 01:05:39,720
Speaker 1: just feel like, yeah, you metric though maybe they are

1147
01:05:39,760 --> 01:05:41,640
Speaker 1: happy doing that. I know. That's a good point. That's

1148
01:05:41,640 --> 01:05:44,680
Speaker 1: a very good point. But it's like it's a very

1149
01:05:44,720 --> 01:05:47,400
Speaker 1: good point. Actually, it's beautiful that you recognize their potential

1150
01:05:47,440 --> 01:05:48,880
Speaker 1: and you're like, if I had that potential, this is

1151
01:05:48,960 --> 01:05:50,800
Speaker 1: what I would do with. Yeah, but everyone's brains did

1152
01:05:50,840 --> 01:05:52,680
Speaker 1: why are different? I suppose maybe they don't want that.

1153
01:05:52,800 --> 01:05:55,040
Speaker 1: It's like my cousins. I love them to bits, but

1154
01:05:55,120 --> 01:05:56,920
Speaker 1: they want very different things to me. And that very

1155
01:05:56,960 --> 01:05:58,919
Speaker 1: good point. Yeah, I feel like when I was younger,

1156
01:05:58,920 --> 01:06:01,320
Speaker 1: I would often be like, I don't say we are

1157
01:06:01,320 --> 01:06:06,560
Speaker 1: the most each individual is er em Yeah, absolutely, Well,

1158
01:06:06,960 --> 01:06:09,840
Speaker 1: thank you all for listening. We realized. Maddie just realized

1159
01:06:09,880 --> 01:06:11,800
Speaker 1: that we have to go fucking clean up the kitchen

1160
01:06:12,040 --> 01:06:15,560
Speaker 1: asked the question, we have one more question to leave

1161
01:06:15,600 --> 01:06:19,320
Speaker 1: with you. Yeah, here's a good question for you. The

1162
01:06:19,480 --> 01:06:24,920
Speaker 1: poet who who asked to clean the kitchen so the

1163
01:06:25,000 --> 01:06:28,920
Speaker 1: first one is, how do you know whether you were happy? Oh,

1164
01:06:29,040 --> 01:06:31,280
Speaker 1: big one. I really wish we'd answered that. Maybe we

1165
01:06:31,280 --> 01:06:34,320
Speaker 1: can do a part two, okay next time. Yeah. Yeah.

1166
01:06:35,680 --> 01:06:39,520
Speaker 1: Maddie's funny one is I already said it. Should we

1167
01:06:39,640 --> 01:06:43,760
Speaker 1: banish the poets? Yes, I have a thing. Oh my god,

1168
01:06:43,880 --> 01:06:46,440
Speaker 1: remember when I was dating my Oh, I don't make

1169
01:06:46,480 --> 01:06:48,200
Speaker 1: hates that I'm talking about men at the moment, but

1170
01:06:48,280 --> 01:06:51,360
Speaker 1: like disgusting, Oh my god, oh my god. He used

1171
01:06:51,360 --> 01:06:53,640
Speaker 1: to write me poems and I literally wouldn't want to drop.

1172
01:06:53,840 --> 01:06:56,240
Speaker 1: It was like I saw this really funny. Mean the

1173
01:06:56,280 --> 01:06:58,760
Speaker 1: other day it was like open to Snapchat expecting it

1174
01:06:58,840 --> 01:07:00,280
Speaker 1: to be a dick pick, but it was a poem,

1175
01:07:00,320 --> 01:07:03,360
Speaker 1: which is somehow so much worse. And I was like,

1176
01:07:04,320 --> 01:07:07,760
Speaker 1: I was like, yeah, that's so true. Anyhow, some beautiful

1177
01:07:07,840 --> 01:07:10,720
Speaker 1: questions coming out of this. I hope as you were

1178
01:07:10,760 --> 01:07:12,560
Speaker 1: listening you kind of got to think about them as well.

1179
01:07:12,560 --> 01:07:14,680
Speaker 1: I think it's a really good, like kind of mental exercise,

1180
01:07:14,800 --> 01:07:18,160
Speaker 1: Like we were really in this moment just like discussing things,

1181
01:07:18,480 --> 01:07:20,400
Speaker 1: you know, all that worry about, like whether the Internet

1182
01:07:20,520 --> 01:07:23,560
Speaker 1: is like fucking without cognition and it all will be okay. Yeah,

1183
01:07:23,680 --> 01:07:26,040
Speaker 1: if you just answer some of these Oxford questions. No

1184
01:07:26,200 --> 01:07:30,080
Speaker 1: need to everythink. Yeah, everything, It's okay, Mattie Okay, Mattie's

1185
01:07:30,080 --> 01:07:34,280
Speaker 1: the existentialist, I'm the mediator, and Meg is the passionate one.

1186
01:07:35,520 --> 01:07:41,800
Speaker 1: Like that's I'm an Aquarius Aquarius, I'm a pios. No,

1187
01:07:42,080 --> 01:07:46,440
Speaker 1: isn't aquarius coaster not water Aquarius. It's aquari, It's aquarier.

1188
01:07:46,640 --> 01:07:55,120
Speaker 1: It's aquarium aquarium. It has aquarius a sign. Yes, No,

1189
01:07:55,320 --> 01:07:58,960
Speaker 1: that is absolutely yes, you're telling me answer. Cancer is

1190
01:07:59,000 --> 01:08:01,800
Speaker 1: a water sign, but of warious is not a water sign. Yes,

1191
01:08:01,920 --> 01:08:06,840
Speaker 1: I am pies. Anyway, anyhow, I forgot we were recording.

1192
01:08:07,160 --> 01:08:10,000
Speaker 1: Thank you so much for listening. I hope you enjoyed

1193
01:08:10,000 --> 01:08:11,880
Speaker 1: our beautiful guests. They mean so much to me and

1194
01:08:11,960 --> 01:08:14,840
Speaker 1: I think they're amazing, so I really appreciate that they

1195
01:08:14,920 --> 01:08:17,120
Speaker 1: came on. Thank you for having us. No, it's okay.

1196
01:08:17,360 --> 01:08:20,439
Speaker 1: Following me on LinkedIn, Oh no, I'll put it in

1197
01:08:20,479 --> 01:08:23,880
Speaker 1: the bier. Follow you on Strava, Strava. Yes, that's a

1198
01:08:23,920 --> 01:08:26,840
Speaker 1: good one. LinkedIn Strava, and follow me on Instagram at

1199
01:08:26,920 --> 01:08:30,400
Speaker 1: twenty Psychology podcast, and also follow us where you get

1200
01:08:30,439 --> 01:08:34,880
Speaker 1: your podcasts Spotify, Apple, Google, Anchor, we're all over there,

1201
01:08:34,920 --> 01:08:43,479
Speaker 1: and if you're still listening, three cheers. Hurrah, Hurrah, Hurrah calculations. Bye,