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Speaker 1: You're listening to a MoMA Mia podcast.

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Speaker 2: Mamma Mia acknowledges the traditional owners of land and waters

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Speaker 2: that this podcast is recorded.

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Speaker 3: On Welcome to Mama Mia out Loud, where women come

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Speaker 3: to debrief. I am Jesse Stevens, I'm Mia Friedman, and

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Speaker 3: i'mm Vernon filling in for Holly and here is what

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Speaker 3: is on our agenda for today, Monday, the thirtieth of June.

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Speaker 3: The Liberal Party is in a world of pain and

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Speaker 3: some people think they know how to fix it. We

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Speaker 3: way into the debate that has been going on for

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Speaker 3: more than thirty years.

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Speaker 1: Jesse came in very hot this morning, desperate to talk

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Speaker 1: about the viral documentary that she watched on the weekend,

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Speaker 1: which I will never watch. So she's going to tell

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Speaker 1: us everything that we need to know about it.

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Speaker 2: And are we witnessing the downfall of dating apps? I

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Speaker 2: have a lot of personal.

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Speaker 1: Feelings, But first, if you were anywhere near the Internet

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Speaker 1: on the weekend, you couldn't have missed the site of

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Speaker 1: Jeff Bezos and Lauren Sanchez getting married in Venice.

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Speaker 3: I feel like you fell down that rabbit hole. I

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Speaker 3: really did.

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Speaker 1: I watched it like I would watch an Awards ceremony,

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Speaker 1: you know, like the red carpet, but the red carpet

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Speaker 1: went on for three days and involved boats.

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Speaker 2: So everything I know about this wedding was against my

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Speaker 2: consent because I just looked at my Instagram on a

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Speaker 2: lovely Saturday morning, and not even just my Instagram, but

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Speaker 2: my sub stack feed, my Facebook feed, my group chats.

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Speaker 2: Everyone was so obsessed with this wedding. I struggle to

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Speaker 2: think so deeply about something that I know no one

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Speaker 2: will care about in like a few weeks except for

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Speaker 2: the people who are just so so angry about it.

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Speaker 3: I was harassed by a wedding to me I wasn't

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Speaker 3: invited to, and if I was out a virus, VP

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Speaker 3: no thank you?

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Speaker 2: Well are you would have gone?

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Speaker 1: A lot of people would have VP no thank you,

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Speaker 1: but two hundred people said yes please. The groom wore

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Speaker 1: new muscles in a spray tann, the bride wore boobs,

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Speaker 1: and festivities began with a phone party and ended with

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Speaker 1: a pajama and lingerie.

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Speaker 3: Hardy guests my personal health well guests.

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Speaker 1: Included Oprah, Avunka Trump, Lachlan and Sarah Murdoch, Sydney Sweeney,

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Speaker 1: Bill Gates, Leonardo DiCaprio and my favorite description of the

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Speaker 1: whole thing. I read a lot over the weekend about it,

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Speaker 1: because a lot of people had a lot of feelings.

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Speaker 1: My favorite was a series of Kardashians walk down a

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Speaker 1: series of jetties wearing a series of ten thousand dollar bras.

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Speaker 1: Some more quick numbers. The cost of the wedding was

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Speaker 1: rumored to be around fifty million. There were, as I said,

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Speaker 1: two hundred guests who arrived on ninety private jets.

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Speaker 3: Okay, I have a comment on that, Yeah, because I'm

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Speaker 3: not a mathematician, but that means that for each private jet, like,

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Speaker 3: there's two people of private jet yees.

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Speaker 1: So I did that match too, And at first I thought, oh,

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Speaker 1: why would they only? But then I remembered the whole

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Speaker 1: point of a private jet is that it's private. So

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Speaker 1: if you're rich enough to have a private jet, it's

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Speaker 1: your jet.

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Speaker 3: But private let pool uber pool.

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Speaker 1: Yeah.

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Speaker 3: Like I went to a wedding recently. There was a

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Speaker 3: bit of a drive. We got a minibus, you know

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Speaker 3: what I mean. That was like, get a private jet

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Speaker 3: and put twenty people on it. But the idea that

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Speaker 3: the private jets are landing with two people on them

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Speaker 3: I guess it's also their entourage, the hair and makeup.

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Speaker 2: Yes to a group of five. I read that those

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Speaker 2: two Rivera jets were the same amount of emissions as

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Speaker 2: twenty seven thousand cars in one day.

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Speaker 3: And I'm not buying any new clothes this year. And

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Speaker 3: let me tell you watching that, I just went fuck

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Speaker 3: it there.

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Speaker 1: Well, you know who did buy some new clothes. Lauren Sanchez.

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Speaker 1: She wore twenty seven different outfits, including adult chain ger

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Speaker 1: bying a wedding dress that took nine hundred hours to

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Speaker 1: make and reportedly cost several one hundred thousand dollars. We

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Speaker 1: know this because Vogue covered it. They did a digital

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Speaker 1: cover that they dropped over the weekend of her wedding dress,

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Speaker 1: which you might have seen was the most covered up

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Speaker 1: thing I think she's ever worn. It was very fitted.

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Speaker 1: She said she didn't wanted to go bling bling. She

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Speaker 1: wanted to be classic. And she said this occurred to

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Speaker 1: her after she went up in Space and she said

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Speaker 1: she wanted to last minute dress. I know. She said

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Speaker 1: she really changed everything after Space because she was good

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Speaker 1: to do the traditional sort of mermaid strapless look that

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Speaker 1: she wears a lot, where her sort of bezongers are

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Speaker 1: out the top and up high. But she said, no,

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Speaker 1: I want to be classic and.

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Speaker 3: More low key with my dress that took eight hundred

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Speaker 3: thousand hours to make and sorry dresses. How many dresses

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Speaker 3: did she put on?

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Speaker 1: There were about twenty seven. We saw a few wedsses

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Speaker 1: like the movie.

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Speaker 2: That's why she did it, base change. I have a

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Speaker 2: fashion question, please. I know you briefly talked about this

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Speaker 2: last week, but is this not a bit of a

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Speaker 2: tacky wedding for Vogue to jump on the.

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Speaker 1: Vogue thing is really interesting because we're going to talk

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Speaker 1: about all the big feelings first, and then we're going

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Speaker 1: to talk about the scurollous gossip, because yes, it was

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Speaker 1: a massive spectacle. And what I noticed the most about

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Speaker 1: the coverage is that the people who were upset about

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Speaker 1: it were really upset, and there was a weird kind

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Speaker 1: of inverted snobbery where a lot of people who aren't

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Speaker 1: rich we're turning up their noses and saying that the

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Speaker 1: rich people were very tacky, as though there was some

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Speaker 1: you know, arbiter of what's good taste and what's bad taste.

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Speaker 1: The definition of good taste is just someone who shares

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Speaker 1: whatever taste you have, and.

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Speaker 3: I read that in terms of the incentive for Vogue

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Speaker 3: to do this, a lot of the big designer houses

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Speaker 3: are not doing so well at the moment financially right,

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Speaker 3: and so you need the zero point zero zero zero

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Speaker 3: one percent. Spent a lot of money at them, so

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Speaker 3: it was like good publicity for adult chain, Gabana or

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Speaker 3: whatever to go look at this dress and basically like

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Speaker 3: it's a big ad and they've got to kind of go.

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Speaker 3: It doesn't matter whether we endorse Lauren Sanchez. She is

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Speaker 3: a vehicle now for us to sell our clothes.

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Speaker 1: It's not just that though we're talking about it now.

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Speaker 1: Something that I've read an interview with Anna Wintour recently,

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Speaker 1: and I've read her biography, and it was a big

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Speaker 1: weekend for her because she is stepping away from her

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Speaker 1: role as editor in chief of Vogue.

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Speaker 3: There were some funny jokes that were like, she put

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Speaker 3: Laurence Sanchez on the cover of Vogue, and.

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Speaker 1: People were really snobby in the same way that they

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Speaker 1: were very snobby the first time she put the cut

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Speaker 1: Ashians on the cover. I've read an interview with her

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Speaker 1: where she talks about being on a plane and she

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Speaker 1: was flying somewhere and sitting next to a man who

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Speaker 1: was talking about I can't remember who was at the time,

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Speaker 1: but it was a particular celebrity, and he said, oh, she'd

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Speaker 1: never be on the cover of Vogue because that's just

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Speaker 1: you know, that wouldn't be what Vogue is. And she said,

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Speaker 1: I landed, and I booked that person straight away, because

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Speaker 1: if someone's in the cultural conversation, the only way for

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Speaker 1: these legacy media brands like Vogue to stay relevant is

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Speaker 1: to be part of the cultural conversation. You don't have

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Speaker 1: to agree with it, but if everybody's talking about Lauren Sanchez, yeah,

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Speaker 1: Vogue got the scoop.

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Speaker 3: See I could baland the TACKI conversation quite telling or interesting, right,

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Speaker 3: because I was probably one of those people who felt

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Speaker 3: sick watching this unfold over the weekend. The display of wealth,

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Speaker 3: the vulgarity of the whole thing, the private jets. I

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Speaker 3: found that horrific. But it's like, what, so if her

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Speaker 3: dress was less tacky. I don't have a single opinion

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Speaker 3: on that dress. I don't care about the dress at all.

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Speaker 3: But if the dress was less tacky, then we could

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Speaker 3: justify the exorbitant costs, Like I think our issue is

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Speaker 3: with the money, and we have to place this within

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Speaker 3: the context of a US right now that is giving

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Speaker 3: tax breaks to billionaires at a time when they are

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Speaker 3: wanting to cut health care for working people. That's why

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Speaker 3: this event sort of transcended everything and kind of was

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Speaker 3: so significant in the zeitgeist. I think that people horrified

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Speaker 3: by billionaires and it felt as though it was being

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Speaker 3: rubbed in our faces. It felt like the Hunger Games,

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Speaker 3: where you've got these really rich people going. I know

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Speaker 3: there's a cost of living crisis and you guys can

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Speaker 3: barely afford rent right now, but I'm gonna wear this

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Speaker 3: dress and come on my private jet. And it was

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Speaker 3: this ekey like was it felt so tone deaf, but

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Speaker 3: it felt intentional. It felt like an intentional performance of

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Speaker 3: just like we are has and we want the have nots.

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Speaker 2: I think you're completely right. I think a lot of

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Speaker 2: people get tacky mixed up with loud yes. For me, like,

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Speaker 2: back in my day, I never I didn't know a

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Speaker 2: single billionaire, and now I know so many of them. Personally,

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Speaker 2: I didn't know anything, but I didn't know a name

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Speaker 2: of a single billionaire, and now I know so many

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Speaker 2: of them.

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Speaker 1: So which billionaires do you know what other billionaires do

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Speaker 1: you know?

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Speaker 2: I know Musk, I know Gates, it's JK Rowling. Still

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Speaker 2: wantld did she donate that away?

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Speaker 3: She did donate some. That's a good point yeeah.

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Speaker 1: Do you know who has donated almost twenty billion dollars

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Speaker 1: over the last few years is Mackenzie Bezos? Yeh, first

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Speaker 1: wife of Jess.

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Speaker 2: Is she still a billionaire?

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Speaker 1: Though she still is because she got a lot more

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Speaker 1: than that, Yeah, so you know her.

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Speaker 2: Yeah. And it almost felt like if you're a billionaire,

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Speaker 2: you had to kind of be a bit embarrassed about it,

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Speaker 2: like you didn't want that many people to know, and

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Speaker 2: you didn't want you were just really secretive about your money.

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Speaker 2: And now you have these guys who, like, we know

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Speaker 2: that the phone for the phone party helicopped it in

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Speaker 2: because they had photographers, yea. Or the phone party. They

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Speaker 2: want you to know every single part of what went

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Speaker 2: on during that weekend exactly.

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Speaker 3: Don't you find that part a little bit ugly?

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Speaker 1: Mayn well to play Devil's advocate. People have always had

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Speaker 1: over the top weddings, and not just rich people, you know,

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Speaker 1: in terms of people of all different socioeconomic groups. Have

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Speaker 1: always spent a huge amount of money compared to perhaps

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Speaker 1: what they could otherwise do with that money on weddings,

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Speaker 1: so that's not new. Also, rich people have always been rich.

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Speaker 1: They've always had fancy things, they've had fancy jewelry, they've

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Speaker 1: had ostentatious displays of their wealth. Now we're certainly seeing

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Speaker 1: a reaction to the quiet luxury movement of the last

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Speaker 1: few years. And that's what's so in a way fascinating

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Speaker 1: to me about this. And it's not that I don't

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Speaker 1: share your feelings, Jesse, but it's more the flagrant display.

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Speaker 1: I find that interesting and I think.

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Speaker 2: That it's no shame.

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Speaker 1: No, there was always the sense of if you were

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Speaker 1: really wealthy, it was very tacky to show displays of

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Speaker 1: your wealth. That's what's quiet luxury. That's why it's always

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Speaker 1: been something that you do behind closed doors, and that's

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Speaker 1: more sheic. But the world has also changed. Firstly, you've

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Speaker 1: got Donald Trump in charge, and he likes the gold toilet,

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Speaker 1: and he likes everything gold, and even the whole Maga

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Speaker 1: beauty ideal. It's not minimalist, and so I find that interesting.

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Speaker 1: And I also find something about Lauren Sanchez interesting in

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Speaker 1: that she genuinely isn't trying to impress and a winter

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Speaker 1: really you know, like she has got a certain aesthetic

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Speaker 1: that she likes, which is boobs out, huge amount of work, plastic, fantastic.

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Speaker 1: She owns that she's not trying to be someone that

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Speaker 1: she's not. If anything, he has changed to meet her

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Speaker 1: kind of aesthetic, and he's now you know, jacked and

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Speaker 1: fake tanned. And what struck me most about the picture

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Speaker 1: that they posted. It was also so interesting to me

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Speaker 1: that she wiped her Instagram clean and changed her handle

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Speaker 1: to Lauren Sanchez Bezos.

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Speaker 2: Like an hour after yeah, at.

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Speaker 1: Like an album release, like talk about a rebranding, and

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Speaker 1: then just had that photo. And the photo that they

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Speaker 1: released of the two of them, what struck me was

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Speaker 1: that neither of them were looking at each other, and

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Speaker 1: he was so airbrushed and filtered he looked like a fetus.

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Speaker 1: It was really interesting, Like I found the whole thing

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Speaker 1: just a really rich text.

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Speaker 3: It is such a rich text, but it just says

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Speaker 3: a lot about where we are. And I don't think

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Speaker 3: that you can subtract the Trump element, right because Bezos,

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Speaker 3: let's remember, donated a million dollars to Trump, who is

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Speaker 3: now rounding up immigrants in the US and deporting them,

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Speaker 3: and so to see the celebrities, And I've grappled with

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Speaker 3: this all weekend, where the celebrities attending a wedding is

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Speaker 3: a tacit endorsement of the bride and groom and everything

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Speaker 3: they believe. Because I'm sure I've been to weddings where

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Speaker 3: I don't know how they voted. I don't know what

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Speaker 3: they do in their spare time. But you can't go

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Speaker 3: to Jeff Bezos's wedding and not know he's the Amazon dude.

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Speaker 1: But what if he's a nice person. I'm not talking

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Speaker 1: about the business side of what he does. That's a

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Speaker 1: different thing. And what if by all accounts that I

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Speaker 1: hear from anybody who knows anybody who knows Lauren Sanchez

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Speaker 1: is that she's a really good time.

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Speaker 3: Yeah, I supp it's like I should be a good time.

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Speaker 3: I just saw a lot of conflicting ideologies. In one place,

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Speaker 3: I found Oprah's presence unusual. I found Leonardo Dicaprioj, I know,

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Speaker 3: has done an enormous amount for climate change. And you've

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Speaker 3: got the stark contrast in our image, you know, based

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Speaker 3: media of wildfires in Europe right now, which are climate

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Speaker 3: change related. And then you've got what is descending upon Venice.

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Speaker 3: You have the Amazon, like what that has done to

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Speaker 3: the environment, to fossil fuels, to all of it. And

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Speaker 3: then for Leonardo.

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Speaker 1: DiCaprio to rie Co sign I know all the values

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Speaker 1: of the bride and groom. Every time you're invited to

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Speaker 1: a wedding.

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Speaker 3: I wonder if you do you are in the spectacle

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Speaker 3: in the way that they are.

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Speaker 2: Wouldn't there be more dangerous if they didn't go? Just

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Speaker 2: as we've seen the election and how much of these

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Speaker 2: guys contributed to the election. These guys have all these

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Speaker 2: celebrities in their pocket. Like if I was a Leonardo DiCaprio,

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Speaker 2: I'd be like, well, this guy could like shut down

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Speaker 2: my next movie. I have to go.

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Speaker 3: And I also wondered, if I'm Leonardo DiCaprio and I'm

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Speaker 3: trying to get funding and save this animal from going extinct,

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Speaker 3: then Bezos's money is injecting a lot into that right now.

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Speaker 3: Because remember I had to go deep because I was like,

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Speaker 3: I need to know how Leo and Jeff know each other.

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Speaker 3: This is my Roman empire, A weaken I remembered, do

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Speaker 3: you remember a clip from years ago at an event,

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Speaker 3: we don't know what the event was, and Laurence Sanchez

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Speaker 3: is between Jeff and Leo and she's looking at Leo

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Speaker 3: like she's trying to kiss him, like she's just enamored.

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Speaker 3: And then Jeff Bezos tweeted and was like, hey, Leo,

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Speaker 3: want to hang out And it was a thing about.

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Speaker 1: A cliff didn't remember that.

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Speaker 3: So they go to a lot of events stuff together.

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Speaker 3: The one I can't work out is Sydney Sweeney. That

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Speaker 3: is just I can't work that.

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Speaker 1: That's a bit of a mystery. I'd like to move

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Speaker 1: to scarless gossip. Briefly, what was she doing there?

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Speaker 2: Can someone come up?

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Speaker 1: She's with Ai, a twenty six year old up and

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Speaker 1: coming actress. It's unclear whether she's connected to the bride

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Speaker 1: or the groom. And what was interesting to me is

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Speaker 1: that with two hundred people, they had a guest list

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Speaker 1: of two hundred because they said they wanted it to

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Speaker 1: be intimate. And people have rolled their eyes about two

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Speaker 1: hundred being intimate. But when you two adult people, both

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Speaker 1: on your second marriages, with grown up children, even just

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Speaker 1: your families, would you know, blow out the guest list

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Speaker 1: and various business people and friends you've accumulated through your life.

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Speaker 3: I wonder if they said two hundred and it became

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Speaker 3: three hundred. Yeah, because the amount of celebrities that's true.

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Speaker 2: I don't know whis people forget?

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Speaker 1: Is that did she hook up with Tom Brady?

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Speaker 2: Well, weddings have a specific job, like the bride and groom.

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Speaker 2: Their job is not only to get married, but they

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Speaker 2: owe it to their single friends to set them up.

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Speaker 2: Because a single person is there at a wedding. They've

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Speaker 2: done all the like, hey, do you need help dressing

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Speaker 2: up the table? Do you need help organizing the hotel?

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Speaker 2: And there'll be one single person there. I reckon it

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Speaker 2: had been like Jeff's cousin who's been single for his

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Speaker 2: whole life. Yeah, and he's like, don't I man, I've

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Speaker 2: got you. I'm gonna invite all of these girls for

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Speaker 2: you to meet to Sydney Tom Brady.

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Speaker 3: That's where Sydney came in. And there was theories that

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Speaker 3: they paid people to come. I don't think they had

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Speaker 3: to pay people to come. But is it a coincidence

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Speaker 3: that Orlando Bloom had this in the calendar and he went,

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Speaker 3: I'm going to relaunch at the wedding, because I think

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Speaker 3: there's going.

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Speaker 1: To be just a few days confirming that he'd split

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Speaker 1: from Katy Perry, which is interesting because Katy Perry was

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Speaker 1: at the bachelorette do in Paris for Lauren Sanchez went

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Speaker 1: up in space of course, starting her astronaut career, but

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Speaker 1: she's in Australia so she couldn't make it. And they

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Speaker 1: obviously hang out together quite a lot.

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Speaker 3: As a couple, exactly, and Orlando when they were a couple,

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Speaker 3: he seemed to have a good time.

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Speaker 1: Did he get custody of the couple Sanchez?

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Speaker 3: I believe from reports and because I think we've all

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Speaker 3: got to agree that the best part about a wedding,

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Speaker 3: put that aside is the next day. It's when you

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Speaker 3: wake up and you go who hooked up with her?

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Speaker 3: What happened? What Auntie picked a fight with that person?

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Speaker 3: Orlando had a glow, he did He's like with someone.

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Speaker 3: I don't know who it was, but I believe that

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Speaker 3: Sydney and Tom Brady definitely something happened there. They were

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Speaker 3: walking around Venice the next day together. Orlando was kind

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Speaker 3: of like coming. I think he also maybe liked to

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Speaker 3: see me.

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Speaker 1: Both Sydney Sweeney and Tom Brady know the value of

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Speaker 1: a good pet walk. They do, and so if they

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Speaker 1: had actually hooked up, I don't know. I think that

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Speaker 1: they probably wouldn't have done that pet pork. I think

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Speaker 1: the papwork was pretty calculated and worked very effectively.

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Speaker 3: Won both Derif Oprah had to come because Gail had

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Speaker 3: to go because of the time eleven minutes in space,

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Speaker 3: Opra doesn't have to do any So then I feel

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Speaker 3: like Gayale was like, Oprah, please, I don't want to

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Speaker 3: go on my own.

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Speaker 2: Well, she's the automatic plus one.

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Speaker 3: Yeah, she's I think that she's the plus one.

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Speaker 1: I really looked like she was having a great time.

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Speaker 3: She did, and I also know that like Lauren Sanchez's cousin,

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Speaker 3: who is I see as myself right went what the

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Speaker 3: fuck do I wear to this wedding? And then she

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Speaker 3: was like Sidney Sweeney's coming, She's like, what the fuck

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Speaker 3: do I want?

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Speaker 1: Like, well, Jesse, it's funny you should say that because

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Speaker 1: the guests weren't told anything about any of the events

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Speaker 1: for security reasons, so it was just like you've got

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Speaker 1: to be here at this time. You'll be picked up

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Speaker 1: from your hotel, and that's kind of all they were told,

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Speaker 1: but they were given mood boards because there was a

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Speaker 1: series events over the three days. The mood board.

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Speaker 2: You would have loved that outfit.

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Speaker 3: Which I wouldn't have understood, but that's incredibly helpful.

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Speaker 1: That's why all the guests kind of were dressed similar

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Speaker 1: for each.

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Speaker 3: I don't know how to read a mood book.

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Speaker 2: I definitely know Kim Cuttsian and wa what you wanted?

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Speaker 2: Did not see the mood.

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Speaker 1: She's her own mood board, But did you see? I

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Speaker 1: loved the bit where they all had to wobble on

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Speaker 1: and off jetties. That was great.

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Speaker 2: Some of them are like being lifted.

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Speaker 1: Yeah, some of them weren't that thrilled about that?

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Speaker 3: Can I get a private jet to my job?

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Speaker 1: Just the Kardashians alone, I think were about ten people,

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Speaker 1: which is what ten people in two hundred? Someone do

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Speaker 1: the mass that's like five percent five percent with Kardashians.

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Speaker 2: Yeah, someone should have done the matter.

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Speaker 3: In a moment. Does the Liberal Party need quotas for women?

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Speaker 3: And the viral documentary I watched so you don't have to.

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Speaker 4: We must be a liberal party that is proudly for

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Speaker 4: women and made up of women. Our party must pre

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Speaker 4: select more women in winnable seats so that we see

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Speaker 4: more Liberal women in federal Parliament.

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Speaker 3: The Liberal Party in Australia, we know, not only lost

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Speaker 3: women in this year's election, but kind of lost everyone.

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Speaker 3: Liberal Party leader Susan Lee says she will be as

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Speaker 3: zelot for women's representation in the party, but says she

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Speaker 3: is agnostic about how they get there. Friends, do you

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Speaker 3: have a sense of how bad the Liberal Party's women

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Speaker 3: problem is right now? Like you know, you hear it,

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Speaker 3: but do you kind of know just how bad it is?

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Speaker 1: No?

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Speaker 2: Because I thought they had a lot of other problems

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Speaker 2: that they had to saw through.

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Speaker 3: That is a fair point.

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Speaker 1: And I also just think that's such a disingenuous thing

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Speaker 1: for her to say. It's like, I really believe in this,

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Speaker 1: but I have no opinion about how we're going to

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Speaker 1: get there. Yeah, Like that's just paying lip service, isn't

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Speaker 1: it exactly?

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Speaker 3: And look just some facts. Of the twenty eight Liberal

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Speaker 3: MPs in the Lower House, six of them are women.

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Speaker 3: Of all Liberal MPs, only a third are women. The

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Speaker 3: Liberals have their lowest number of women in Parliament since

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Speaker 3: nineteen ninety three, which was a year before Labor adopted

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Speaker 3: its first gender quotas. You want to take a guess

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Speaker 3: as to how what percentage of labor MPs in our

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Speaker 3: women sixty fifty six percent.

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Speaker 1: Yes, that's going to say.

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Speaker 2: It's yeah.

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Speaker 3: After the nineteen ninety three election for Labor andps it

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Speaker 3: was eleven percent, and that's when they looked in the

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Speaker 3: mirror and went, okay, I think we need quotas, which

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Speaker 3: brings us to now. So Angus Taylor, he's the Opposition

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Speaker 3: Defense spokesperson. He said last week, the Labor Party will

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Speaker 3: do things their own way about quotas, and they do

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Speaker 3: subvert democracy, and that's a matter for them at the

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Speaker 3: end of the day. If you're going to have quotas,

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Speaker 3: it means you are going to subvert democratic processes. So

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Speaker 3: he and a lot of other Liberal Party men say

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Speaker 3: that it is fundamentally undemocratic. It goes against all their principles, which.

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Speaker 1: Is so untrue because there are already so many quotas.

433
00:20:27,502 --> 00:20:29,941
Speaker 1: There are quotas about left factions and right factions. There

434
00:20:29,942 --> 00:20:34,462
Speaker 1: are quotas about National Party versus Liberal Party MPs. They

435
00:20:34,502 --> 00:20:36,181
Speaker 1: already have quotas.

436
00:20:36,302 --> 00:20:38,542
Speaker 3: This is just lie they kind of talk about, like

437
00:20:38,581 --> 00:20:41,061
Speaker 3: the merit Defense like Tony Abbott has always talks about

438
00:20:40,861 --> 00:20:42,462
Speaker 3: merrit and it's like you don't have to know a

439
00:20:42,462 --> 00:20:45,422
Speaker 3: lot about politics to know that it's about alliances, it's

440
00:20:45,462 --> 00:20:48,262
Speaker 3: about you being in bed with you and like all

441
00:20:48,302 --> 00:20:51,822
Speaker 3: the different politics that happens is not simply like always

442
00:20:51,821 --> 00:20:54,061
Speaker 3: the best person for the job and for context. In

443
00:20:54,101 --> 00:20:56,782
Speaker 3: twenty fifteen, the Liberal Parties set a target when it

444
00:20:56,782 --> 00:20:59,542
Speaker 3: came to female representation. They love a target that they're

445
00:20:59,542 --> 00:21:01,942
Speaker 3: not accountable for. They're very good at those. Then again

446
00:21:01,982 --> 00:21:05,141
Speaker 3: in twenty twenty two they were like fifty percent female representation.

447
00:21:05,341 --> 00:21:08,302
Speaker 1: We promise a target means nothing if you don't have

448
00:21:08,502 --> 00:21:10,101
Speaker 1: a plan to get to that target.

449
00:21:10,262 --> 00:21:13,221
Speaker 3: All that's happened is that the party room has fewer

450
00:21:13,262 --> 00:21:16,981
Speaker 3: women than ever. So quota's big topic. They're instituted in

451
00:21:17,022 --> 00:21:20,782
Speaker 3: some boardrooms, in workplaces and of course in politics. Mia

452
00:21:20,942 --> 00:21:23,222
Speaker 3: is it time for the Liberal Party to establish quotas.

453
00:21:23,022 --> 00:21:26,582
Speaker 1: Of course it is. It was time twenty years ago.

454
00:21:26,742 --> 00:21:30,581
Speaker 1: It was time after the last election when women resoundingly

455
00:21:31,222 --> 00:21:34,661
Speaker 1: rejected a party that was led by a man in

456
00:21:34,702 --> 00:21:38,861
Speaker 1: Scott Morrison, who was wildly unpopular with women, who was

457
00:21:38,942 --> 00:21:43,302
Speaker 1: seen as really being out of step with the way

458
00:21:43,341 --> 00:21:47,581
Speaker 1: women see themselves in the way modern men see women

459
00:21:47,942 --> 00:21:50,462
Speaker 1: and just completely out of touch. And they seem to

460
00:21:50,542 --> 00:21:53,861
Speaker 1: learn nothing from that. They seem to learn absolutely nothing.

461
00:21:54,101 --> 00:21:57,262
Speaker 3: It seems like bad politics not to how about you M.

462
00:21:57,422 --> 00:22:00,742
Speaker 2: See for me when it comes to quotas, I struggle

463
00:22:00,782 --> 00:22:03,542
Speaker 2: to see the difference between what is a quota and

464
00:22:03,581 --> 00:22:06,221
Speaker 2: what is just ticking boxes. And I come at this

465
00:22:06,262 --> 00:22:09,941
Speaker 2: from a personal perspective because I remember so specifically twenty

466
00:22:09,942 --> 00:22:12,462
Speaker 2: twenty when George Floyd died, who was a black man

467
00:22:12,502 --> 00:22:16,382
Speaker 2: that was brutally murdered by police and Minneapolis. That's why

468
00:22:16,381 --> 00:22:19,341
Speaker 2: I feel like where everyone learned about the Black Lives

469
00:22:19,341 --> 00:22:21,782
Speaker 2: Matter movement. And then that movement started in twenty thirteen,

470
00:22:21,861 --> 00:22:24,621
Speaker 2: but it became very popular in twenty twenty, and I

471
00:22:24,821 --> 00:22:28,022
Speaker 2: just remember so many people who hadn't heard from in

472
00:22:28,182 --> 00:22:30,341
Speaker 2: years reach out to me, going, Hey, can you be

473
00:22:30,422 --> 00:22:32,861
Speaker 2: on this panel, can you give this talk? Can you

474
00:22:32,861 --> 00:22:35,502
Speaker 2: host this event very last minute? And you can so

475
00:22:35,661 --> 00:22:38,661
Speaker 2: tell when you're a quota versus when it's actually a

476
00:22:38,702 --> 00:22:43,502
Speaker 2: genuine opportunity. And I wonder if, like we established quotas

477
00:22:43,542 --> 00:22:46,782
Speaker 2: in the Liberal Party, will these women go in with

478
00:22:46,861 --> 00:22:49,502
Speaker 2: the public always thinking that there was a specific reason

479
00:22:49,502 --> 00:22:51,542
Speaker 2: why they were chosen versus if they're actually good at

480
00:22:51,542 --> 00:22:51,942
Speaker 2: their job.

481
00:22:52,141 --> 00:22:57,422
Speaker 3: So that's interesting you say that, because when Labor instituted quotas,

482
00:22:57,782 --> 00:23:00,142
Speaker 3: five liberal women came out, This was in nineteen ninety

483
00:23:00,141 --> 00:23:01,821
Speaker 3: three or nineteen ninety four, and they came out and

484
00:23:01,861 --> 00:23:04,381
Speaker 3: they delivered a statement about what they thought about it,

485
00:23:04,821 --> 00:23:08,181
Speaker 3: and they said, it is effectively a vote of no

486
00:23:08,302 --> 00:23:11,142
Speaker 3: confidence in women's own nobilities, and it is a reverse

487
00:23:11,222 --> 00:23:14,181
Speaker 3: form of discrimination. It only treats the symptoms, not the

488
00:23:14,222 --> 00:23:16,821
Speaker 3: cause of the problems. So they felt offended at the

489
00:23:16,901 --> 00:23:20,862
Speaker 3: idea that someone would go, you're just there to kind

490
00:23:20,901 --> 00:23:24,101
Speaker 3: of be a quota. But on your point, m I

491
00:23:24,262 --> 00:23:27,302
Speaker 3: wonder if your example is actually an argument for quotas,

492
00:23:27,341 --> 00:23:30,221
Speaker 3: because what people were doing in that was going off vibes.

493
00:23:30,661 --> 00:23:33,742
Speaker 3: They were going, the vibe is that we need diversity

494
00:23:33,782 --> 00:23:37,981
Speaker 3: and representation, let's throw m on or whatever, whereas a

495
00:23:38,101 --> 00:23:41,941
Speaker 3: quota is more of a promise and a process and

496
00:23:41,982 --> 00:23:46,262
Speaker 3: a system that has to be like instituted and upheld.

497
00:23:46,621 --> 00:23:48,861
Speaker 3: And I think that the problem with twenty twenty was

498
00:23:48,901 --> 00:23:52,061
Speaker 3: that all of those gains were very easily able to

499
00:23:52,101 --> 00:23:54,381
Speaker 3: then be rescinded because there were no.

500
00:23:54,702 --> 00:23:56,221
Speaker 2: Yeah, I'm not being asked to host of ens anymore.

501
00:23:56,341 --> 00:23:59,262
Speaker 3: Yes, that's exactly right, Like I think that the process

502
00:23:59,621 --> 00:24:01,582
Speaker 3: wasn't properly instituted.

503
00:24:01,782 --> 00:24:04,662
Speaker 1: Yeah, I think it's interesting. All the research shows that

504
00:24:04,821 --> 00:24:08,182
Speaker 1: people when they're younger, Certainly I've noticed in my experience

505
00:24:08,341 --> 00:24:10,381
Speaker 1: younger women are like, no, I want to get there

506
00:24:10,422 --> 00:24:13,221
Speaker 1: on my merit, and you can be very idealistic. And

507
00:24:13,262 --> 00:24:14,821
Speaker 1: then as you get older and you see that nothing

508
00:24:14,942 --> 00:24:17,181
Speaker 1: changes and things actually go backwards, as we've seen with

509
00:24:17,182 --> 00:24:20,621
Speaker 1: the Liberal Party, you start to say, well, merit doesn't

510
00:24:20,661 --> 00:24:23,941
Speaker 1: seem to actually matter. Yeah, because if you are a

511
00:24:23,982 --> 00:24:28,581
Speaker 1: believer as I am, that merit is equally divided in

512
00:24:28,621 --> 00:24:33,941
Speaker 1: the population between men and women, in terms of intellectual ability, intelligence, talent,

513
00:24:34,061 --> 00:24:35,141
Speaker 1: all of those things.

514
00:24:34,901 --> 00:24:36,262
Speaker 3: And between all demographics.

515
00:24:36,341 --> 00:24:41,341
Speaker 1: Yeah, yeah, exactly. Then our parliament should reflect our society,

516
00:24:41,782 --> 00:24:45,702
Speaker 1: and the fact that it doesn't is bad for our parliament.

517
00:24:45,782 --> 00:24:50,061
Speaker 1: It's bad for our society because we know that companies

518
00:24:50,061 --> 00:24:53,861
Speaker 1: that have more diverse boards, that are more reflective of

519
00:24:53,901 --> 00:24:57,262
Speaker 1: their customers or their audience or their shareholders, are more

520
00:24:57,422 --> 00:25:00,582
Speaker 1: likely to do better, to perform better because it's helpful

521
00:25:00,581 --> 00:25:03,141
Speaker 1: to have those different voices in the room.

522
00:25:03,341 --> 00:25:06,542
Speaker 3: Yeah. An example of that is in sort of mid

523
00:25:06,702 --> 00:25:09,302
Speaker 3: nineteen nineties, just after all of this talk about quotas

524
00:25:09,341 --> 00:25:13,101
Speaker 3: was do you remember Alexander Downer. Alexander Downer, you would

525
00:25:13,222 --> 00:25:17,581
Speaker 3: form an infant and Howard, I think yes. And so

526
00:25:17,942 --> 00:25:20,461
Speaker 3: this was at the time when women's representation was really low,

527
00:25:20,502 --> 00:25:22,542
Speaker 3: and it was talking about whether they needed quotas, and

528
00:25:22,661 --> 00:25:26,061
Speaker 3: he was talking about a policy on women's safety and

529
00:25:26,101 --> 00:25:29,381
Speaker 3: domestic violence, and he made a joke that it should

530
00:25:29,422 --> 00:25:32,581
Speaker 3: be titled the Things that Better Like rather than the

531
00:25:32,581 --> 00:25:36,982
Speaker 3: Things that Matter. That's an example of something that likely

532
00:25:37,302 --> 00:25:39,622
Speaker 3: wouldn't be said in the company of women. I think

533
00:25:39,661 --> 00:25:42,302
Speaker 3: sometimes you need the quotas to get the right people

534
00:25:42,302 --> 00:25:44,901
Speaker 3: in the room to solve the problems. I don't think

535
00:25:44,982 --> 00:25:48,702
Speaker 3: that you can even start doing that until you have

536
00:25:48,742 --> 00:25:51,821
Speaker 3: that representation, because it's not fair to an electorate whether

537
00:25:51,861 --> 00:25:54,182
Speaker 3: you vote for the Liberal Party or not. You need

538
00:25:54,222 --> 00:25:58,702
Speaker 3: two competitive parties. And this is they're in a pathetic position,

539
00:25:59,022 --> 00:26:02,101
Speaker 3: and surely, surely this is just good for democracy.

540
00:26:03,022 --> 00:26:06,142
Speaker 2: So there's this thing going around where everyone is sharing

541
00:26:06,341 --> 00:26:09,661
Speaker 2: their most unhinged group chat name. So you know, when

542
00:26:09,661 --> 00:26:11,781
Speaker 2: you have like a consistent group of people you talk

543
00:26:11,821 --> 00:26:15,262
Speaker 2: to online on Facebook, Messenger, Instagram. You can name that group.

544
00:26:15,302 --> 00:26:16,381
Speaker 1: It's my favorite thing to do.

545
00:26:16,621 --> 00:26:19,421
Speaker 2: Everyone is sharing their names. I have a really good

546
00:26:19,462 --> 00:26:21,821
Speaker 2: one that I've had for years, two and a half Indians.

547
00:26:22,022 --> 00:26:23,181
Speaker 3: Okay, who is group?

548
00:26:23,302 --> 00:26:26,382
Speaker 2: Two of my cousins, one of them, her dad is British.

549
00:26:26,422 --> 00:26:29,542
Speaker 3: Oh, I love it. So that's so good.

550
00:26:29,821 --> 00:26:34,181
Speaker 1: There's a lot of very inappropriate humor in group chat names.

551
00:26:34,422 --> 00:26:37,061
Speaker 2: We asked our Instagram. So if you don't follows on Instagram,

552
00:26:37,061 --> 00:26:39,981
Speaker 2: please do mum me out loud flaps to the wind.

553
00:26:40,422 --> 00:26:42,941
Speaker 2: I like that. It's a bit naughty. In case I

554
00:26:42,982 --> 00:26:45,221
Speaker 2: need an organ donor. Yeah, that's a good one.

555
00:26:45,222 --> 00:26:47,061
Speaker 1: It's a good one for a family group chat.

556
00:26:46,982 --> 00:26:48,061
Speaker 2: Or for a craft group.

557
00:26:48,182 --> 00:26:50,702
Speaker 3: Stitch and bitch Yep, that's got tone.

558
00:26:50,942 --> 00:26:55,061
Speaker 2: Yeah, haggs in the hood, the outlaws, so the partners

559
00:26:55,101 --> 00:26:55,702
Speaker 2: of the family.

560
00:26:56,061 --> 00:26:58,821
Speaker 1: Oh I've got a question about changing group names. Yeah,

561
00:26:58,861 --> 00:27:02,061
Speaker 1: so something. I've got a few group chats where one

562
00:27:02,061 --> 00:27:05,381
Speaker 1: in particular and we're all sort of writery, wordy people,

563
00:27:05,702 --> 00:27:08,342
Speaker 1: and sometimes there'll just be a phrase that comes up

564
00:27:08,381 --> 00:27:11,941
Speaker 1: that just has everybody in hysterics, and someone will change

565
00:27:11,942 --> 00:27:13,022
Speaker 1: the name of the group chat.

566
00:27:13,182 --> 00:27:13,821
Speaker 3: But then, do you.

567
00:27:13,861 --> 00:27:15,102
Speaker 1: Do you think that's okay? Now?

568
00:27:15,141 --> 00:27:16,182
Speaker 2: You remove them from the group.

569
00:27:17,141 --> 00:27:18,302
Speaker 1: It can be a bit tricky.

570
00:27:18,861 --> 00:27:21,621
Speaker 3: I think that it's funny. I looked at my group

571
00:27:21,821 --> 00:27:24,702
Speaker 3: chat names and I was like, I forget the context

572
00:27:24,742 --> 00:27:26,862
Speaker 3: of every single one of theirs. They just I think

573
00:27:26,901 --> 00:27:29,061
Speaker 3: six months lady, You're like, what was that about? I

574
00:27:29,101 --> 00:27:29,782
Speaker 3: don't understand.

575
00:27:29,821 --> 00:27:32,222
Speaker 1: There's also I've had the issue of some people who

576
00:27:32,222 --> 00:27:35,462
Speaker 1: have little children and their phones around, or they've got

577
00:27:35,901 --> 00:27:40,022
Speaker 1: announced messages. And I had a group called servant with

578
00:27:40,141 --> 00:27:43,181
Speaker 1: a k oh because I was explaining to the group

579
00:27:43,262 --> 00:27:47,621
Speaker 1: that the expression serving is a compliment. So someone changed

580
00:27:47,621 --> 00:27:50,421
Speaker 1: the group name to servant with a k I ALWASO

581
00:27:50,502 --> 00:27:52,302
Speaker 1: found myself. I was going to a dinner with that

582
00:27:52,341 --> 00:27:54,381
Speaker 1: group of people and I was in the car and

583
00:27:54,422 --> 00:27:59,181
Speaker 1: I was like, hey, Siri, message Serven.

584
00:27:59,661 --> 00:28:07,741
Speaker 3: No, you can't take everyone's phone. You've ruined people's Mondays.

585
00:28:08,141 --> 00:28:11,022
Speaker 2: After the break, our dating apps done, I'll get you

586
00:28:11,061 --> 00:28:13,061
Speaker 2: up to speed with the reality of what it's like

587
00:28:13,101 --> 00:28:16,182
Speaker 2: to find love and sex in twenty twenty five out

588
00:28:16,222 --> 00:28:16,581
Speaker 2: loud As.

589
00:28:16,621 --> 00:28:18,341
Speaker 1: If you want to listen to us every day of

590
00:28:18,381 --> 00:28:21,141
Speaker 1: the week, you can get access to exclusive segments on

591
00:28:21,262 --> 00:28:24,862
Speaker 1: Tuesdays and Thursdays by becoming a mum and mea subscriber.

592
00:28:25,262 --> 00:28:27,421
Speaker 1: Follow the link in the show notes to subscribe and

593
00:28:27,462 --> 00:28:29,821
Speaker 1: support us, and a big thank you to all our

594
00:28:29,861 --> 00:28:35,142
Speaker 1: current subscribers.

595
00:28:35,861 --> 00:28:38,542
Speaker 2: Dating app Bumble has laid off thirty percent of its

596
00:28:38,582 --> 00:28:43,022
Speaker 2: staff after losing three hundred and fifty thousand users last year.

597
00:28:43,142 --> 00:28:44,181
Speaker 1: Maybe they got married.

598
00:28:44,302 --> 00:28:45,781
Speaker 2: Well, I was going to say, if you think three

599
00:28:45,862 --> 00:28:47,981
Speaker 2: hundred and fifty thousand people found their love of the

600
00:28:48,022 --> 00:28:51,262
Speaker 2: live last year, you would be wrong. When I read

601
00:28:51,302 --> 00:28:54,822
Speaker 2: this headline, nothing, not even like one percent of it

602
00:28:54,902 --> 00:28:59,181
Speaker 2: surprised me. I one hundred percent can believe that this

603
00:28:59,302 --> 00:29:01,142
Speaker 2: many people have been off the dating app.

604
00:29:01,182 --> 00:29:02,542
Speaker 3: Have you deleted Bumble?

605
00:29:02,742 --> 00:29:06,302
Speaker 2: I just redownloaded it, so I'm helping them out. I

606
00:29:06,342 --> 00:29:08,302
Speaker 2: think I talked about it in this podcast. I deleted

607
00:29:08,382 --> 00:29:13,462
Speaker 2: dating apps in December last year after an unfavorable breakup

608
00:29:13,742 --> 00:29:16,022
Speaker 2: where a man messaged me saying that he found someone

609
00:29:16,022 --> 00:29:19,102
Speaker 2: else took a break so much happened in my life.

610
00:29:19,142 --> 00:29:23,062
Speaker 2: Redownloaded them. First person pop up was said man with

611
00:29:23,142 --> 00:29:27,421
Speaker 2: a little message from Hinge saying most compatible. No, And

612
00:29:27,462 --> 00:29:29,622
Speaker 2: I'm like, now I know why people will delete these apps,

613
00:29:29,702 --> 00:29:30,342
Speaker 2: So tell.

614
00:29:30,142 --> 00:29:33,302
Speaker 3: Me why they think this is Because it's not just

615
00:29:33,661 --> 00:29:36,862
Speaker 3: Bumble is across the board. They're saying that every dating

616
00:29:36,902 --> 00:29:39,662
Speaker 3: app is down, dating app usage is on the floor,

617
00:29:39,702 --> 00:29:42,462
Speaker 3: and some people might go, this is quite hopeful. Maybe

618
00:29:42,502 --> 00:29:45,102
Speaker 3: people are meeting in person again. Why do you think

619
00:29:45,182 --> 00:29:48,022
Speaker 3: it is that dating apps kind of on the nose

620
00:29:48,022 --> 00:29:48,502
Speaker 3: at the moment.

621
00:29:48,542 --> 00:29:50,382
Speaker 2: I've been on dating apps for on and off for

622
00:29:50,382 --> 00:29:52,941
Speaker 2: a very very long time, and there was a time

623
00:29:53,142 --> 00:29:54,902
Speaker 2: in my life I think I would have probably been

624
00:29:54,942 --> 00:29:58,462
Speaker 2: like nineteen twenty where they were the best. I feel

625
00:29:58,462 --> 00:30:00,981
Speaker 2: like a lot of millennials met their long term partners

626
00:30:01,062 --> 00:30:04,662
Speaker 2: on dating apps, and they always talk about our producer

627
00:30:04,742 --> 00:30:08,222
Speaker 2: m talks about how great they were. That has changed completely.

628
00:30:08,382 --> 00:30:10,342
Speaker 1: Been a long time since someone's that they met their

629
00:30:10,342 --> 00:30:11,261
Speaker 1: partner on the apps.

630
00:30:11,422 --> 00:30:13,822
Speaker 2: It's a very millennial thing. It's a very millennial thing.

631
00:30:14,022 --> 00:30:18,142
Speaker 2: It's changed completely. Dating apps are a complete cess pit.

632
00:30:18,382 --> 00:30:21,582
Speaker 2: Why it's now turned into, I want to say, like

633
00:30:21,622 --> 00:30:24,582
Speaker 2: a social media app. Like I remember talking on the

634
00:30:24,582 --> 00:30:26,782
Speaker 2: podcast that I would use dating apps for a point

635
00:30:26,782 --> 00:30:29,022
Speaker 2: in my life where I just had them as dopamine hits.

636
00:30:29,342 --> 00:30:31,022
Speaker 2: So every time I felt like something was a bit

637
00:30:31,062 --> 00:30:33,702
Speaker 2: off at work or something, I'll just literally go into

638
00:30:33,742 --> 00:30:36,421
Speaker 2: my phone, do some swipes, see who liked me, and

639
00:30:36,422 --> 00:30:37,622
Speaker 2: that's all I needed, because.

640
00:30:37,382 --> 00:30:39,982
Speaker 1: It's like gambling. I imagine part of the attraction is gambling.

641
00:30:40,062 --> 00:30:42,701
Speaker 1: It's like at any time, I could swipe and find

642
00:30:43,222 --> 00:30:45,501
Speaker 1: that person. When I was single, I used to call

643
00:30:45,502 --> 00:30:47,262
Speaker 1: it single energy. I used to be able to stay

644
00:30:47,342 --> 00:30:50,902
Speaker 1: up much later in clubs or bars or whatever parties

645
00:30:51,262 --> 00:30:54,382
Speaker 1: because there was always that potential hope that I might

646
00:30:54,462 --> 00:30:55,342
Speaker 1: meet that person.

647
00:30:55,742 --> 00:30:58,582
Speaker 2: Oh yeah, well you're not even meeting people in person anymore.

648
00:30:58,661 --> 00:31:01,382
Speaker 2: So with like dating apps, I feel like, firstly, there's

649
00:31:01,422 --> 00:31:04,181
Speaker 2: so many options now with dating apps because they want

650
00:31:04,262 --> 00:31:06,941
Speaker 2: people to stay on them for longer. So what do

651
00:31:06,982 --> 00:31:09,941
Speaker 2: you mean, So Hina's slogan is made to be deleted

652
00:31:10,062 --> 00:31:10,982
Speaker 2: completely untrue.

653
00:31:11,062 --> 00:31:13,862
Speaker 1: People love stay to be deleted. Yeah, what does that mean?

654
00:31:13,902 --> 00:31:15,502
Speaker 2: Because it's like a play on, like you will find

655
00:31:15,542 --> 00:31:17,662
Speaker 2: the person you love, so then you'll delete the app.

656
00:31:17,702 --> 00:31:20,102
Speaker 2: So it's made for you to then delete the app.

657
00:31:19,942 --> 00:31:22,302
Speaker 1: Which is not a good business model for the app. Right, So,

658
00:31:22,582 --> 00:31:25,222
Speaker 1: it only occurred to me recently that all of these

659
00:31:25,262 --> 00:31:28,302
Speaker 1: apps are disincentivized to try and match people who are

660
00:31:28,342 --> 00:31:28,942
Speaker 1: good matches.

661
00:31:29,382 --> 00:31:31,382
Speaker 3: Yeah. So I read some analysis and some of its

662
00:31:31,382 --> 00:31:34,582
Speaker 3: speculation because I don't believe that their algorithms are sort

663
00:31:34,622 --> 00:31:39,222
Speaker 3: of public knowledge, but there is pretty good intel that

664
00:31:39,262 --> 00:31:43,181
Speaker 3: suggests that they will know who would be really compatible

665
00:31:43,182 --> 00:31:44,982
Speaker 3: with them, and he's not going to be the first

666
00:31:45,022 --> 00:31:47,382
Speaker 3: person they give her, okay, so they'll sort of give

667
00:31:47,422 --> 00:31:50,262
Speaker 3: him a bunch of other people. And then when I

668
00:31:50,382 --> 00:31:52,182
Speaker 3: was on dating apps, there wasn't an option to pay,

669
00:31:52,702 --> 00:31:55,862
Speaker 3: but now it's like there's this top tier where they'll go, well,

670
00:31:56,022 --> 00:31:57,822
Speaker 3: m we'll give you him if you give a bit

671
00:31:57,822 --> 00:31:58,102
Speaker 3: of money.

672
00:31:58,182 --> 00:31:59,062
Speaker 1: What are you paid for?

673
00:31:59,222 --> 00:32:01,701
Speaker 2: Okay? So on some dating apps because you can swipe

674
00:32:01,742 --> 00:32:03,622
Speaker 2: and swipe and swipes, so now they've set limits for

675
00:32:03,702 --> 00:32:05,942
Speaker 2: free users, like you can only do ten swipes a day,

676
00:32:06,222 --> 00:32:08,182
Speaker 2: So you do your ten swipes and then you get

677
00:32:08,182 --> 00:32:10,502
Speaker 2: to your eleven swipe and you see love a pay well,

678
00:32:10,742 --> 00:32:13,102
Speaker 2: the hottest person you've ever seen in your life.

679
00:32:13,142 --> 00:32:16,782
Speaker 1: That's where they put ms perfectly paywall.

680
00:32:16,942 --> 00:32:19,382
Speaker 2: And I will admit I did pay seventy dollars for

681
00:32:19,462 --> 00:32:22,542
Speaker 2: Bumble Premium, and then I saw this option saying that

682
00:32:22,622 --> 00:32:24,421
Speaker 2: do you want your profile to be seen by the

683
00:32:24,422 --> 00:32:26,941
Speaker 2: people you've swiped right on? Straight away? Like of course,

684
00:32:27,022 --> 00:32:30,142
Speaker 2: I'm like, okay, I want that. That's a ticket premium

685
00:32:30,142 --> 00:32:34,102
Speaker 2: plus ninety dollars a month some month. Actually I think

686
00:32:34,102 --> 00:32:35,942
Speaker 2: it's one hundred dollars a month. A month, Yeah, I'm

687
00:32:35,942 --> 00:32:40,142
Speaker 2: paying seventy dollars a month. That is ridiculous. What's really

688
00:32:40,182 --> 00:32:42,382
Speaker 2: annoying about it is that they have the packages, right,

689
00:32:42,382 --> 00:32:44,421
Speaker 2: because if you pay monthly, it will be cheaper than

690
00:32:44,462 --> 00:32:46,302
Speaker 2: paying weekly. So in your head you have to be like,

691
00:32:46,582 --> 00:32:48,502
Speaker 2: how long do I plan on being single? Do I

692
00:32:48,502 --> 00:32:50,382
Speaker 2: get the three month package? Do I get the six

693
00:32:50,422 --> 00:32:51,182
Speaker 2: month package?

694
00:32:51,462 --> 00:32:53,982
Speaker 3: How optimistic am I that I will find someone? Because

695
00:32:54,022 --> 00:32:57,941
Speaker 3: I was listening to these researchers talk about this exact

696
00:32:57,942 --> 00:33:00,661
Speaker 3: phenomenon on a podcast called Plain English over the weekend,

697
00:33:00,982 --> 00:33:04,542
Speaker 3: and these researchers were saying that none of this indicates

698
00:33:04,582 --> 00:33:08,382
Speaker 3: that people are meeting in real life. That simply isn't happening.

699
00:33:08,622 --> 00:33:11,782
Speaker 3: People aren't doing the dating apps, and they're not approaching

700
00:33:11,822 --> 00:33:12,822
Speaker 3: people at bars.

701
00:33:12,862 --> 00:33:15,342
Speaker 1: It's just people have just given up. Yeah, they're their

702
00:33:15,382 --> 00:33:16,302
Speaker 1: home with their vibrator.

703
00:33:16,382 --> 00:33:18,142
Speaker 3: Yeah. The amount of people in their twenties who have

704
00:33:18,182 --> 00:33:21,462
Speaker 3: never dated is higher than ever. Right. They said that

705
00:33:21,622 --> 00:33:24,262
Speaker 3: the people who dating apps are still really good for

706
00:33:24,702 --> 00:33:27,502
Speaker 3: are people who are in their forties, their fifties, and

707
00:33:27,542 --> 00:33:29,981
Speaker 3: in the eighties. If that was you it was really

708
00:33:30,022 --> 00:33:32,302
Speaker 3: hard to date because you didn't know who else was single,

709
00:33:32,422 --> 00:33:35,382
Speaker 3: you didn't know who else was looking. But now it's

710
00:33:35,422 --> 00:33:39,741
Speaker 3: almost become their domain because they kind of like know

711
00:33:39,782 --> 00:33:42,502
Speaker 3: who they're looking for. You can set your age range whatever,

712
00:33:42,622 --> 00:33:45,221
Speaker 3: and so for gen Z's, I think that it's not

713
00:33:46,302 --> 00:33:48,102
Speaker 3: really the domain for young people anymore.

714
00:33:48,142 --> 00:33:51,542
Speaker 2: The marketing is just so interesting, especially the gendered marketing

715
00:33:51,661 --> 00:33:54,582
Speaker 2: for dating apps. And this is in heterosexual relationships. But

716
00:33:55,062 --> 00:33:58,062
Speaker 2: I had so many male friends who automatically would pay

717
00:33:58,102 --> 00:34:01,982
Speaker 2: for like Tinder premium, Hinge premium, because it is much

718
00:34:02,022 --> 00:34:04,181
Speaker 2: harder being a straight man on a dating app than

719
00:34:04,222 --> 00:34:06,741
Speaker 2: it is being a straight woman. Like they get no

720
00:34:06,942 --> 00:34:09,142
Speaker 2: matches at all, they'll have one. No one goes up

721
00:34:09,142 --> 00:34:10,861
Speaker 2: to a guy like heymate, let me get a photo

722
00:34:10,862 --> 00:34:12,582
Speaker 2: of you. You look really good. So they have the

723
00:34:12,622 --> 00:34:15,382
Speaker 2: worst photos from like twenty thirteen. So they're all paying,

724
00:34:15,942 --> 00:34:18,462
Speaker 2: and then Tinder and stuff for like how do we

725
00:34:18,502 --> 00:34:20,501
Speaker 2: get women to pay? So now you have to pay

726
00:34:20,701 --> 00:34:21,982
Speaker 2: if you want a hype preference?

727
00:34:22,302 --> 00:34:23,822
Speaker 3: What do you mean by a high preference?

728
00:34:24,302 --> 00:34:26,381
Speaker 2: So if you want to date a man of a

729
00:34:26,422 --> 00:34:29,701
Speaker 2: certain height, you can change your preferences to only give

730
00:34:29,741 --> 00:34:31,862
Speaker 2: you men who are like above six feet or something,

731
00:34:32,302 --> 00:34:33,861
Speaker 2: and they will only show you men who are above

732
00:34:34,022 --> 00:34:35,102
Speaker 2: six feet in their profile.

733
00:34:35,302 --> 00:34:37,341
Speaker 1: I mean this is imagine if there was the equivalent

734
00:34:37,382 --> 00:34:39,981
Speaker 1: of that. I wonder if there is about men who

735
00:34:39,982 --> 00:34:44,181
Speaker 1: could say I want women of a certain BMI and

736
00:34:43,862 --> 00:34:45,942
Speaker 1: how upset people would be about that.

737
00:34:46,022 --> 00:34:48,701
Speaker 2: Well, you can put ethnicity preferences in there, you can

738
00:34:48,741 --> 00:34:51,941
Speaker 2: put height, you can put religious preferences, if they want kids,

739
00:34:51,982 --> 00:34:53,742
Speaker 2: if they don't want kids, if they want long term relationship,

740
00:34:53,741 --> 00:34:56,741
Speaker 2: if they want casual sex. You can literally form the

741
00:34:56,741 --> 00:34:57,901
Speaker 2: perfect person in your head.

742
00:34:57,942 --> 00:34:58,702
Speaker 1: Does it cost?

743
00:34:58,982 --> 00:34:59,102
Speaker 3: So?

744
00:34:59,221 --> 00:35:01,742
Speaker 1: For women? Is the only barrier that you've got.

745
00:35:01,582 --> 00:35:04,422
Speaker 2: To pay for heights, all of the preferences, all the payment.

746
00:35:04,582 --> 00:35:07,462
Speaker 2: But like men are more likely to pay because they

747
00:35:07,462 --> 00:35:09,221
Speaker 2: want their profile to be shown to more women. So

748
00:35:09,221 --> 00:35:11,341
Speaker 2: you have all these options of what payment will get you.

749
00:35:11,622 --> 00:35:13,422
Speaker 2: So this is what my researchers were telling me.

750
00:35:13,502 --> 00:35:16,261
Speaker 3: They were saying that in the dating app world, for

751
00:35:16,382 --> 00:35:21,542
Speaker 3: the top one percent, who are basically ridiculously attractive, it

752
00:35:21,582 --> 00:35:24,502
Speaker 3: works for them, but for everyone else, it's a market

753
00:35:24,582 --> 00:35:29,382
Speaker 3: that's too competitive and you're just gonna disappear. So whereas

754
00:35:29,422 --> 00:35:30,781
Speaker 3: if you meet someone at a bar, or you meet

755
00:35:30,822 --> 00:35:33,821
Speaker 3: someone in person. You are filtering, whether you know it

756
00:35:33,902 --> 00:35:36,062
Speaker 3: or not, for one hundred things at once, for how

757
00:35:36,102 --> 00:35:39,221
Speaker 3: they smell, for how they walk, for how they move

758
00:35:39,261 --> 00:35:39,662
Speaker 3: their body.

759
00:35:39,741 --> 00:35:40,982
Speaker 2: You can even put voice members in this.

760
00:35:41,102 --> 00:35:43,062
Speaker 3: You can hear their voice, and that's what dating apps

761
00:35:43,062 --> 00:35:44,781
Speaker 3: are trying to do. But really it is a two

762
00:35:44,822 --> 00:35:48,022
Speaker 3: dimension looking at your face. And what these people were

763
00:35:48,221 --> 00:35:53,102
Speaker 3: saying is that initial chemistry, what someone looks like, actually

764
00:35:53,181 --> 00:35:56,861
Speaker 3: has merely no bearing on the success of a long term,

765
00:35:57,022 --> 00:36:01,582
Speaker 3: happy relationship, and that is why the most successful relationships

766
00:36:01,622 --> 00:36:04,902
Speaker 3: often happen when people meet not only in real life,

767
00:36:05,022 --> 00:36:07,342
Speaker 3: but meet in situations where they meet again and again

768
00:36:07,382 --> 00:36:11,181
Speaker 3: and again. So the workplace friendship groups that kind of thing,

769
00:36:11,221 --> 00:36:14,181
Speaker 3: because you probably won't have love at first sight, but

770
00:36:14,382 --> 00:36:16,622
Speaker 3: you'll go slow burn, you'll do the scan and you'll

771
00:36:16,661 --> 00:36:18,181
Speaker 3: go no, and then they'll come back, and then you'll

772
00:36:18,181 --> 00:36:19,821
Speaker 3: get more data points and you'll go eh, and then

773
00:36:19,862 --> 00:36:22,422
Speaker 3: you'll get more data points and before you know it,

774
00:36:22,462 --> 00:36:24,582
Speaker 3: you're like, oh, maybe I'm attracted to this person. So

775
00:36:24,661 --> 00:36:26,902
Speaker 3: that's how we're wired, and dating apps if not.

776
00:36:27,062 --> 00:36:29,662
Speaker 2: So that's actually so true because when I was dating

777
00:36:29,781 --> 00:36:32,502
Speaker 2: my ex partner, I met him three friends and we

778
00:36:32,542 --> 00:36:34,142
Speaker 2: got on really really well, and we were dating and

779
00:36:34,181 --> 00:36:36,622
Speaker 2: then in our initial dating phase he showed me his

780
00:36:36,741 --> 00:36:38,862
Speaker 2: Hinge profile and I was like, there's no way to

781
00:36:38,902 --> 00:36:39,782
Speaker 2: swipe right on you.

782
00:36:39,822 --> 00:36:42,182
Speaker 3: No, of course not. The real world is not about

783
00:36:42,221 --> 00:36:44,661
Speaker 3: tens and twos. That's not how you work. I didn't

784
00:36:44,661 --> 00:36:46,582
Speaker 3: meet my partner and go, is he a ten? Or

785
00:36:46,661 --> 00:36:47,181
Speaker 3: like how would you?

786
00:36:47,261 --> 00:36:48,661
Speaker 1: And you wouldn't have never met him on.

787
00:36:48,622 --> 00:36:50,622
Speaker 3: The apps because he wouldn't have been in my age, he.

788
00:36:50,582 --> 00:36:52,421
Speaker 1: Wouldn't have been in your age, Ange, And can you

789
00:36:52,462 --> 00:36:55,582
Speaker 1: just explain the difference broadly between the different apps. So

790
00:36:55,582 --> 00:36:59,782
Speaker 1: there's like Hinge, Bumble Tinder, Like what's the difference?

791
00:37:00,062 --> 00:37:02,821
Speaker 2: So Tinder is like the og app. I feel like

792
00:37:02,902 --> 00:37:05,502
Speaker 2: that's the one everyone is across. That one has the

793
00:37:05,542 --> 00:37:09,421
Speaker 2: most users. It's also worldwide known, so it's just like one.

794
00:37:09,582 --> 00:37:12,302
Speaker 2: It's just completely honing in on the market. It turned

795
00:37:12,302 --> 00:37:14,221
Speaker 2: into a bit of a hookup app when the other

796
00:37:14,221 --> 00:37:16,781
Speaker 2: apps came on board. Tinder has now done a full

797
00:37:16,822 --> 00:37:20,302
Speaker 2: point eighty where people are actually finding relationships again on Tinder.

798
00:37:20,422 --> 00:37:22,422
Speaker 2: So if you're looking for relationship, give Tinder a go.

799
00:37:22,701 --> 00:37:24,902
Speaker 3: The difference with Bumble was that the woman reaches out first.

800
00:37:25,142 --> 00:37:28,341
Speaker 2: Women reaches out first, But now that's slightly changed. So

801
00:37:28,661 --> 00:37:30,942
Speaker 2: now you can have a set question on your bumble

802
00:37:30,942 --> 00:37:33,102
Speaker 2: profile where a man can answer if you don't want

803
00:37:33,102 --> 00:37:35,742
Speaker 2: to be the first one messaging. They also have bumble

804
00:37:35,741 --> 00:37:38,502
Speaker 2: bff from Bumble Business. I know a lot of friends

805
00:37:38,582 --> 00:37:41,781
Speaker 2: from overseas when they travel around, they meet a lot

806
00:37:41,781 --> 00:37:43,422
Speaker 2: of friends through bumble Bff.

807
00:37:43,661 --> 00:37:45,981
Speaker 1: I also know women who are downloading an app called

808
00:37:46,102 --> 00:37:51,542
Speaker 1: her for queer women, women who were interested in dating

809
00:37:51,582 --> 00:37:54,821
Speaker 1: other women and it is it successful? Yeah, I know

810
00:37:54,862 --> 00:37:57,421
Speaker 1: a few people who've met who've met women like that

811
00:37:57,542 --> 00:37:59,821
Speaker 1: or women who are curious or you know, there's a

812
00:37:59,862 --> 00:38:00,741
Speaker 1: whole lot of things.

813
00:38:01,142 --> 00:38:02,381
Speaker 2: And as grinder for men.

814
00:38:02,942 --> 00:38:07,941
Speaker 1: Yeah, hin just probably you could be on RAYA now I've.

815
00:38:07,862 --> 00:38:10,221
Speaker 2: Been on Ray's waiting list for seven you could meet

816
00:38:10,302 --> 00:38:13,862
Speaker 2: Orlando Sweet. But if like remember the Instagram.

817
00:38:14,462 --> 00:38:16,942
Speaker 1: Probably still there. So ray is for famous people. But

818
00:38:17,062 --> 00:38:18,542
Speaker 1: I interrupted you saying Hinge.

819
00:38:19,022 --> 00:38:21,422
Speaker 2: Hinge is like kind of a new ish one. It

820
00:38:21,462 --> 00:38:24,861
Speaker 2: doesn't have that many users, but it's probably the one.

821
00:38:24,982 --> 00:38:26,782
Speaker 2: I want to say. All the hot people are on Hinge.

822
00:38:27,142 --> 00:38:30,142
Speaker 2: Like they have this section on Hinge called the Rose Jail.

823
00:38:30,221 --> 00:38:32,462
Speaker 2: Well we call it the Rose Jail. Well they'll put

824
00:38:32,502 --> 00:38:35,261
Speaker 2: the hottest people you've ever seen in your life in

825
00:38:35,302 --> 00:38:39,381
Speaker 2: this little section where you don't just swipe right on them. No, no, no,

826
00:38:39,422 --> 00:38:41,821
Speaker 2: you have to put yourself out there and hand them

827
00:38:41,822 --> 00:38:44,701
Speaker 2: a rose, a digital rose, and you only get one

828
00:38:44,781 --> 00:38:47,022
Speaker 2: rose a week, so when you give them a rose,

829
00:38:47,062 --> 00:38:51,542
Speaker 2: they know it's so bad.

830
00:38:51,582 --> 00:38:54,421
Speaker 1: I have anxiety dreams about being on the apps. I've

831
00:38:54,502 --> 00:38:57,582
Speaker 1: met my partner before the apps were around, and so

832
00:38:57,661 --> 00:39:00,821
Speaker 1: I've never been on the apps before. And sometimes I'll

833
00:39:00,862 --> 00:39:03,261
Speaker 1: have recurring anxiety dreams about I have to get on

834
00:39:03,261 --> 00:39:04,662
Speaker 1: the apps and I've never done it before.

835
00:39:04,741 --> 00:39:07,461
Speaker 2: That is so unfortunate for you. I feel really bad.

836
00:39:07,622 --> 00:39:09,501
Speaker 1: Yeah, have you ever given a rose?

837
00:39:10,022 --> 00:39:11,781
Speaker 2: Look? There's been some dark times in my life.

838
00:39:12,622 --> 00:39:13,062
Speaker 3: It's late.

839
00:39:13,462 --> 00:39:16,461
Speaker 2: Sometimes you just see a guy on Hinge and he's

840
00:39:16,542 --> 00:39:18,982
Speaker 2: not only hot, but he also just has the right prompts. Right,

841
00:39:18,982 --> 00:39:21,941
Speaker 2: he's got like feminists in this profile. Yeah, he's got

842
00:39:21,982 --> 00:39:23,782
Speaker 2: I've only got sisters in this profile.

843
00:39:24,022 --> 00:39:24,822
Speaker 1: What's the prompt?

844
00:39:24,942 --> 00:39:27,382
Speaker 2: So Hinge has all of these, like probably a thousand

845
00:39:27,502 --> 00:39:29,582
Speaker 2: questions that you can choose from, and then you can

846
00:39:29,701 --> 00:39:31,661
Speaker 2: reply to them and have that on your profile. So

847
00:39:31,701 --> 00:39:34,142
Speaker 2: it's like my ideal date will look like right beach

848
00:39:34,302 --> 00:39:36,622
Speaker 2: and movies, and a lot of people are really witty

849
00:39:36,622 --> 00:39:37,861
Speaker 2: in that. The thing is you have to be really

850
00:39:37,862 --> 00:39:39,462
Speaker 2: funny because you have to show your sense of humor.

851
00:39:39,622 --> 00:39:42,342
Speaker 1: So you no longer have to write your own profile.

852
00:39:42,382 --> 00:39:43,862
Speaker 1: You take answer a few questions.

853
00:39:43,942 --> 00:39:46,062
Speaker 2: Yeah, they make it easy for you. And then sometimes

854
00:39:46,062 --> 00:39:49,102
Speaker 2: when you're like three wines in two am, you just

855
00:39:49,102 --> 00:39:51,301
Speaker 2: want to give a rose. Sometimes you'll pay and give

856
00:39:51,342 --> 00:39:56,142
Speaker 2: two roses because you want to say, God pay. I

857
00:39:56,181 --> 00:39:58,741
Speaker 2: also pay for hinge, so it's around the same cost

858
00:39:58,741 --> 00:39:59,262
Speaker 2: as bumble.

859
00:39:59,462 --> 00:40:01,781
Speaker 3: I know you need to pay. You need to pay Rise.

860
00:40:03,582 --> 00:40:06,542
Speaker 1: Text talking about it, right, Rose, what happened?

861
00:40:06,741 --> 00:40:11,982
Speaker 2: Nothing happened? Because I look like a loser, sweetie. No

862
00:40:11,982 --> 00:40:13,142
Speaker 2: one wants to accept my rose.

863
00:40:14,542 --> 00:40:17,662
Speaker 3: There's a new documentary on Netflix called train Wreck Poop Cruise.

864
00:40:17,741 --> 00:40:19,741
Speaker 2: Can I just say something before we continue. I'm looking

865
00:40:19,781 --> 00:40:21,822
Speaker 2: at the script right now, and all your notes are bolded.

866
00:40:22,542 --> 00:40:25,502
Speaker 3: That's because they're all really important. Have some respect for

867
00:40:25,542 --> 00:40:26,022
Speaker 3: the content.

868
00:40:26,142 --> 00:40:28,702
Speaker 1: Netflix has been trying to get me to watch poop Cruise.

869
00:40:28,942 --> 00:40:31,102
Speaker 1: Keep serving me poop Cruise. Watch poop Cruise.

870
00:40:31,102 --> 00:40:32,821
Speaker 2: I think that says a lot about you, Alegorithm too.

871
00:40:33,302 --> 00:40:35,421
Speaker 3: I feel as though, em it's right up your Alley.

872
00:40:35,502 --> 00:40:37,222
Speaker 3: I feel like you'd love it. A bit of a geagle,

873
00:40:37,342 --> 00:40:40,102
Speaker 3: all right. I will never stop thinking about this documentary.

874
00:40:40,102 --> 00:40:41,582
Speaker 3: And I'll say, you don't need to watch it. It's

875
00:40:41,582 --> 00:40:45,062
Speaker 3: like an hour long. It's quite short. Now, if you're squeamish,

876
00:40:45,302 --> 00:40:47,422
Speaker 3: or if you really want to watch this documentary fresh

877
00:40:47,422 --> 00:40:49,981
Speaker 3: and really enjoy it for everything it has to give,

878
00:40:50,062 --> 00:40:52,542
Speaker 3: then maybe skip forward. But otherwise I would like just

879
00:40:52,582 --> 00:40:54,661
Speaker 3: two minutes of your time, okay, to tell you about

880
00:40:54,701 --> 00:40:56,941
Speaker 3: what happened on a poop cruise in twenty thirteen.

881
00:40:56,982 --> 00:41:00,542
Speaker 2: I'm so excited, all right, this is what happened thirteen.

882
00:41:00,741 --> 00:41:03,982
Speaker 3: That's when it was set by documentary. It's about history.

883
00:41:03,982 --> 00:41:05,861
Speaker 3: Some of us have some respect for history, all right.

884
00:41:06,862 --> 00:41:09,181
Speaker 3: Two hundred people get on a cruise Texas to Mexico.

885
00:41:09,661 --> 00:41:12,981
Speaker 3: Beautiful sunny day, sun's out, warm, lovely.

886
00:41:12,781 --> 00:41:13,542
Speaker 1: Nice, big pool.

887
00:41:14,422 --> 00:41:16,102
Speaker 3: In the doco, there are these women who are on

888
00:41:16,142 --> 00:41:18,462
Speaker 3: a hen's party. Right, they're having great time. They get

889
00:41:18,462 --> 00:41:20,422
Speaker 3: off in Mexico, they have a few drinks and a

890
00:41:20,422 --> 00:41:22,342
Speaker 3: lot of drinks. Actually, they get back on the cruise

891
00:41:22,342 --> 00:41:24,622
Speaker 3: and they're like, this is actually heaven. And then at

892
00:41:24,622 --> 00:41:27,301
Speaker 3: five am there's an alarm and they're like, oh, what's

893
00:41:27,342 --> 00:41:28,861
Speaker 3: this about. There's banging on the door.

894
00:41:28,942 --> 00:41:29,622
Speaker 2: Get up, Get up.

895
00:41:29,661 --> 00:41:31,501
Speaker 3: Everyone has to evacuate. You have to get on the deck.

896
00:41:31,741 --> 00:41:33,582
Speaker 3: So get on the deck and they see one of

897
00:41:33,622 --> 00:41:35,422
Speaker 3: the I don't know what you call it on a cruise.

898
00:41:35,542 --> 00:41:39,622
Speaker 3: It's like got a big titanic like boulder. Yeah, yeah,

899
00:41:39,622 --> 00:41:40,381
Speaker 3: smoke coming out.

900
00:41:40,502 --> 00:41:43,902
Speaker 2: Oh fine, like a chimney, like a chimney on my emergency.

901
00:41:43,422 --> 00:41:44,741
Speaker 3: Yeah, emergency emergency.

902
00:41:44,902 --> 00:41:45,941
Speaker 1: And they're in the middle of the ocean.

903
00:41:45,982 --> 00:41:47,741
Speaker 3: And they're in the middle of the ocean, so they

904
00:41:47,741 --> 00:41:49,781
Speaker 3: start panicking. But then they go, you know what, fire's out.

905
00:41:49,822 --> 00:41:51,822
Speaker 3: We're all good. Yeah, you just go get a coffee,

906
00:41:51,822 --> 00:41:53,941
Speaker 3: get a cocktail, whatever you want. They're like, great, great, great.

907
00:41:54,342 --> 00:41:56,182
Speaker 3: Some of them go to go back to bed. Boom,

908
00:41:56,261 --> 00:42:00,221
Speaker 3: lights out, air con out, power out, and they go,

909
00:42:00,342 --> 00:42:02,421
Speaker 3: this isn't good. We're on a cruise. They're like, don't worry,

910
00:42:02,462 --> 00:42:05,102
Speaker 3: engineers are going to go fix it. Engineers go downstairs.

911
00:42:05,622 --> 00:42:08,102
Speaker 3: Not good, everything is broken. They are now in the

912
00:42:08,142 --> 00:42:11,741
Speaker 3: middle of the ocean, loading with no electricity. They then

913
00:42:11,781 --> 00:42:16,142
Speaker 3: discover very quickly that the toilets will not flush a right,

914
00:42:16,661 --> 00:42:18,781
Speaker 3: and so the person who's like running the cruise, this

915
00:42:18,942 --> 00:42:21,221
Speaker 3: lady gets over the loudspeaker and goes, We're going to

916
00:42:21,302 --> 00:42:24,422
Speaker 3: need you to wei in the shower. Oh, and poop

917
00:42:24,942 --> 00:42:29,381
Speaker 3: in these red plastic bags that we're about to distribute. No, no,

918
00:42:30,181 --> 00:42:31,942
Speaker 3: and soep.

919
00:42:31,382 --> 00:42:33,741
Speaker 1: Just pooping the toilet and then just not flush it.

920
00:42:33,862 --> 00:42:35,942
Speaker 3: Well, some people started doing that, and that's where we

921
00:42:35,982 --> 00:42:38,701
Speaker 3: come to the term poopler's on you, because what was

922
00:42:38,701 --> 00:42:41,622
Speaker 3: happening is someone was going toilet paper, going toilet paper,

923
00:42:41,661 --> 00:42:43,341
Speaker 3: going toilet paper, and they were like, no, no, no,

924
00:42:43,382 --> 00:42:44,781
Speaker 3: do it in your red bag. And everyone was like,

925
00:42:45,062 --> 00:42:47,261
Speaker 3: I'm not pooping in a red bag, surely not. What

926
00:42:47,422 --> 00:42:50,022
Speaker 3: happens to the red bags you have to throw them

927
00:42:50,062 --> 00:42:53,301
Speaker 3: out in bins that are in the corridor. So within hours,

928
00:42:53,302 --> 00:42:56,502
Speaker 3: the whole cruise smells of human excrement and everyone knows

929
00:42:56,502 --> 00:42:59,782
Speaker 3: what your bowel movements look like exactly. You're on your honeymoon. Oh,

930
00:42:59,822 --> 00:43:01,022
Speaker 3: I'm going to go get my red bag.

931
00:43:01,142 --> 00:43:01,661
Speaker 1: It's not hot.

932
00:43:01,942 --> 00:43:04,342
Speaker 2: Can I just talk about the location, because nothing okay

933
00:43:04,462 --> 00:43:06,902
Speaker 2: to get TMI. There are certain foods that make my

934
00:43:06,942 --> 00:43:07,622
Speaker 2: stomach go.

935
00:43:07,781 --> 00:43:09,542
Speaker 3: They had just come from Mexico, they've just come from

936
00:43:09,942 --> 00:43:12,901
Speaker 3: and also Texas meat. Yeah, and also how much they've

937
00:43:12,902 --> 00:43:15,142
Speaker 3: been drinking, right, so I think it's a particular brand.

938
00:43:15,302 --> 00:43:17,261
Speaker 1: When she has to poop in a bag, would you

939
00:43:17,382 --> 00:43:18,701
Speaker 1: sit on the toilet?

940
00:43:18,741 --> 00:43:21,902
Speaker 2: I think so, right, so you'd still I thought it

941
00:43:21,942 --> 00:43:23,502
Speaker 2: was like a nappy situation.

942
00:43:23,221 --> 00:43:26,982
Speaker 1: For anyone who's had to do an over fifties poop test,

943
00:43:27,342 --> 00:43:30,102
Speaker 1: which the government sends you in Australia. If you're listening

944
00:43:30,142 --> 00:43:32,381
Speaker 1: from Australia, that's kind of what you do.

945
00:43:32,542 --> 00:43:34,142
Speaker 3: Yeah, you put it in the toilet. Yeah, right, So

946
00:43:34,142 --> 00:43:36,062
Speaker 3: that's what they start doing. A lot of people you poop,

947
00:43:36,142 --> 00:43:38,701
Speaker 3: think they're too good for bags, right anyway, so it

948
00:43:38,701 --> 00:43:40,781
Speaker 3: starts to smile really bad, and then of course it's

949
00:43:40,781 --> 00:43:43,701
Speaker 3: too hot, so everyone starts getting their mattresses and putting

950
00:43:43,701 --> 00:43:45,422
Speaker 3: them on the deck. But they're like, you know what,

951
00:43:45,542 --> 00:43:48,902
Speaker 3: we're going to get towed back to Mexico tomorrow. It's fine,

952
00:43:48,942 --> 00:43:51,542
Speaker 3: it's just one night. They wake up and they're like, okay,

953
00:43:52,422 --> 00:43:54,942
Speaker 3: just something bad happened, which is that the ship has

954
00:43:54,942 --> 00:43:57,502
Speaker 3: started drifting in the wrong direction because it's not it's

955
00:43:57,542 --> 00:43:59,022
Speaker 3: not working. So what we need to do.

956
00:43:59,102 --> 00:44:00,181
Speaker 2: It's the weight of the ship.

957
00:44:00,302 --> 00:44:02,701
Speaker 3: How many people on the on the four thy two

958
00:44:02,781 --> 00:44:05,341
Speaker 3: hundred people and you go what like three times? What

959
00:44:05,382 --> 00:44:07,542
Speaker 3: are they eating, there's no three times a day.

960
00:44:07,342 --> 00:44:10,261
Speaker 2: You have quite decent bowel movements. I take a to Metamucile.

961
00:44:10,902 --> 00:44:13,341
Speaker 3: There's no refrigeration, so they're having like these shitty sound

962
00:44:13,502 --> 00:44:17,702
Speaker 3: not literally shitty sandwiches, but they're having crap sandwiches.

963
00:44:18,261 --> 00:44:20,261
Speaker 2: And then are they having the crap sandwiches to make

964
00:44:20,302 --> 00:44:21,261
Speaker 2: them all constipated?

965
00:44:21,261 --> 00:44:22,821
Speaker 3: So no, no, no, just because they have no good

966
00:44:22,822 --> 00:44:24,661
Speaker 3: food because they have no refrigeration, so they're having to

967
00:44:24,701 --> 00:44:27,821
Speaker 3: throw everything out of god a tactic. So then they're like, look,

968
00:44:27,822 --> 00:44:29,942
Speaker 3: we're gonna be real, it's gonna be another four days.

969
00:44:30,382 --> 00:44:32,022
Speaker 3: It's gonna be four to eight on a hoop cruise.

970
00:44:32,741 --> 00:44:35,542
Speaker 3: Another cruise comes past to give them supplies because at

971
00:44:35,542 --> 00:44:36,981
Speaker 3: this point they're like, we don't even have any food

972
00:44:36,982 --> 00:44:37,461
Speaker 3: for these people.

973
00:44:37,701 --> 00:44:39,461
Speaker 2: Give them supplies, but you're not getting on as show.

974
00:44:39,502 --> 00:44:41,741
Speaker 3: No no, and they start getting Wi Fi so they

975
00:44:41,781 --> 00:44:44,261
Speaker 3: start posting about poop cruise and then the story goes

976
00:44:44,862 --> 00:44:46,542
Speaker 3: like it goes absolutely.

977
00:44:46,181 --> 00:44:47,261
Speaker 1: Why did we not hear?

978
00:44:47,462 --> 00:44:50,342
Speaker 3: But the time get worse because the cruise is like,

979
00:44:50,422 --> 00:44:51,902
Speaker 3: you know what, we're about having a good time. So

980
00:44:51,982 --> 00:44:53,422
Speaker 3: what I think we should do is open the bar

981
00:44:53,781 --> 00:44:56,982
Speaker 3: freebooze for everyone that did not go well. Someone poops

982
00:44:56,982 --> 00:44:58,941
Speaker 3: in a bag, they could throw it off the hedge.

983
00:44:59,221 --> 00:45:03,661
Speaker 3: The wind blows out lands on someone who can't.

984
00:45:03,502 --> 00:45:03,982
Speaker 1: Have a shower.

985
00:45:06,302 --> 00:45:08,661
Speaker 2: Shower jump in the ocean. At this point, I'm.

986
00:45:08,622 --> 00:45:09,301
Speaker 3: Jumping in the water.

987
00:45:09,902 --> 00:45:12,661
Speaker 2: They're swimming to Eventually.

988
00:45:12,622 --> 00:45:13,741
Speaker 3: The boat comes to tow them.

989
00:45:13,822 --> 00:45:14,102
Speaker 4: They need.

990
00:45:14,661 --> 00:45:14,781
Speaker 1: Now.

991
00:45:14,862 --> 00:45:18,102
Speaker 3: What happens is the boat imagine a towing The boat

992
00:45:18,221 --> 00:45:21,062
Speaker 3: kind of goes at an angle, and all the urine

993
00:45:21,102 --> 00:45:23,301
Speaker 3: in the showers, which hasn't been draining because it can't drain,

994
00:45:23,781 --> 00:45:28,622
Speaker 3: goes and it is raining urine down wall. It's there

995
00:45:28,701 --> 00:45:30,422
Speaker 3: is footage if someone getting out of their bed and

996
00:45:30,462 --> 00:45:33,622
Speaker 3: they are deep in urine. All the poop from the

997
00:45:33,701 --> 00:45:36,422
Speaker 3: bins falls out of the bins and goes in the hallway.

998
00:45:39,022 --> 00:45:43,221
Speaker 3: And people are on CNN going e COLI like this

999
00:45:43,462 --> 00:45:45,181
Speaker 3: is not caught, Like what are you going to do?

1000
00:45:46,181 --> 00:45:49,221
Speaker 3: People who had children, they so many people were kids.

1001
00:45:49,741 --> 00:45:53,181
Speaker 3: It was so so bad. And then eventually they got

1002
00:45:53,261 --> 00:45:56,622
Speaker 3: back to the thing. They get off the cruise, they

1003
00:45:56,701 --> 00:46:00,301
Speaker 3: tell this, so they all have pink ei. They must like,

1004
00:46:00,382 --> 00:46:02,862
Speaker 3: can you imagine every time you would pooh in a

1005
00:46:02,902 --> 00:46:05,382
Speaker 3: normal toilet, you would go, oh my god, trigger.

1006
00:46:05,181 --> 00:46:06,142
Speaker 2: I would never shit again.

1007
00:46:06,221 --> 00:46:08,022
Speaker 3: And I just think the moral of this story is

1008
00:46:08,102 --> 00:46:11,661
Speaker 3: like the moral, I love the story no matter how

1009
00:46:11,701 --> 00:46:14,301
Speaker 3: bad you were kids. Yeah, you're having a bad moment.

1010
00:46:14,422 --> 00:46:16,701
Speaker 3: You feel how stress poolas aren't you? You just go

1011
00:46:17,422 --> 00:46:19,142
Speaker 3: you know what, At least I'm not on the poop cruise.

1012
00:46:19,542 --> 00:46:22,582
Speaker 3: That's my new mantra. Po needs meditation. At least I'm

1013
00:46:22,622 --> 00:46:23,502
Speaker 3: not on the poop cruise.

1014
00:46:24,502 --> 00:46:27,742
Speaker 1: Well, out louders, We've learned so much today in crazy

1015
00:46:27,862 --> 00:46:30,022
Speaker 1: loads that m poops three times a day. I'd like

1016
00:46:30,102 --> 00:46:33,221
Speaker 1: to know what the average amount of poos per day?

1017
00:46:33,382 --> 00:46:35,582
Speaker 1: People do? I think she's got a last run today.

1018
00:46:35,781 --> 00:46:38,502
Speaker 1: I think I think I've just looked it up as

1019
00:46:38,542 --> 00:46:41,582
Speaker 1: we're talking. The average is once or twice a day.

1020
00:46:41,661 --> 00:46:43,622
Speaker 2: So and you are officially on top of the poop

1021
00:46:43,661 --> 00:46:45,462
Speaker 2: lady boy, I'm officially above average.

1022
00:46:45,741 --> 00:46:47,462
Speaker 1: A big thank you to all of you the out

1023
00:46:47,502 --> 00:46:49,901
Speaker 1: louders for listening to today's show, and our fabulous team

1024
00:46:49,982 --> 00:46:52,542
Speaker 1: for putting this show together. We will be back in

1025
00:46:52,622 --> 00:46:53,542
Speaker 1: your ears tomorrow.

1026
00:46:54,102 --> 00:46:57,382
Speaker 3: Bye Aye. Shout out to any Mum and me A

1027
00:46:57,462 --> 00:47:00,261
Speaker 3: subscribers listening. If you love the show and you want

1028
00:47:00,302 --> 00:47:02,942
Speaker 3: to support us, subscribing to Mom and Mia is the

1029
00:47:03,142 --> 00:47:05,582
Speaker 3: very best way to do so. There's a link in

1030
00:47:05,661 --> 00:47:06,582
Speaker 3: the episode description.

1031
00:47:10,142 --> 00:47:15,022
Speaker 1: The band then play Sick to Dea