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Speaker 1: I don't think anyone I know personally has been out

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Speaker 1: there protesting, But I don't understand why it escalated to

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Speaker 1: the point where we are sending out Marines National Guard

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Speaker 1: for a peaceful protest.

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Speaker 2: I just don't understand, of all of the things to

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Speaker 2: send resources for, this is this is not?

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Speaker 3: It?

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Speaker 4: Such a dramatic response to a peaceful protest just has

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Speaker 4: me feeling, you know, like the dictatorship vibe when they

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Speaker 4: cracked on on any little, any little noise, any little pete.

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Speaker 4: I'm cracking down on you. So you see what's gonna

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Speaker 4: happen if you ever try to do anything big.

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Speaker 1: Hey, hey va fam, Welcome back to the Brown Table

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Speaker 1: my Wednesday show. Have you all noticed that we air

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Speaker 1: three times a week now? And when I say we,

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Speaker 1: I mean we. I just wanted why do I have

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Speaker 1: three shows?

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Speaker 4: Now?

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Speaker 1: Well, first let me tell you what the three shows are.

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Speaker 1: For those who are new, for those who have recently

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Speaker 1: found us, we got our Monday episode. Monday is where

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Speaker 1: I'm calling it Monday Motivation. So we have our interviews

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Speaker 1: with illustrious guests such Jazz We recently, oh gosh, we've

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Speaker 1: had so many great guests recently. We've had Zarda Garg

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Speaker 1: New York Times bestselling author and comedian. We've had Cebo Campbell,

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Speaker 1: best selling author of the Brown Ambition book club pick

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Speaker 1: for June Sky Full of Elephants. We just had Rachel

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Speaker 1: Laier doctor, sorry, doctor Rachel Laia, the author of the

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Speaker 1: new book Black Capitalism, which I'll got to check out.

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Speaker 1: So that's our Monday episode. And Wednesday is my baby.

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Speaker 1: My favorite is the Brown Tables where we get together

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Speaker 1: with some friends of the show, friends of mine, friends

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Speaker 1: of the show, and we just chat. We chat about

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Speaker 1: what's happening in the world, what's going on in pop culture,

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Speaker 1: what's going on in your pockets and our pockets. And

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Speaker 1: this is a first. I have three first time Brown

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Speaker 1: Table guests on the show. I think we might explode

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Speaker 1: from the melanin magic right now, like I don't. And

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Speaker 1: then on Friday we're going to do our ba q

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Speaker 1: and a. So that's what we have going for you.

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Speaker 1: Don't forget Brown Ambition, fam I just launch the patreons

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Speaker 1: if you want details and how you can join the

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Speaker 1: Patreon and get actually live front row seats to Brown

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Speaker 1: Table recordings with your membership and the book club and

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Speaker 1: all that stuff. You can check the show notes or

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Speaker 1: go to patreon dot com slash Brown Ambition and without

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Speaker 1: further azoo, I want to introduce you to my guest

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Speaker 1: today who. Let's go in alphabetical order. Let's start with

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Speaker 1: you alexas say hey, Toda. Alex is like, dame it.

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Speaker 4: No, I'm happy. I'm happy. I just knew it. I

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Speaker 4: was like, I know I'm gonna start first.

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Speaker 1: I know I'm gonna start well, too bad.

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Speaker 4: I love it. Oh good, hello everyone. I'm so happy

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Speaker 4: to be here. I've been part of the BAFM for

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Speaker 4: a minute, but only as a listener, So getting to

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Speaker 4: join today, as you know, just being on the other

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Speaker 4: side has been I well, I know it's going to

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Speaker 4: be great, but it is awesome just to be here

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Speaker 4: in general seeing you all. My name is Alexa Claire

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Speaker 4: or Alexa Brooks Major is the full name. I work

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Speaker 4: as the content and duction manager at the Financial Diet,

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Speaker 4: a finance media company all about supporting women with their finances,

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Speaker 4: their personal finances and finding really dynamic ways to share

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Speaker 4: content about how your personal finances are very much an

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Speaker 4: introducesciplinary situation right like they're very much like aligned with

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Speaker 4: so many different parts of your life, and so we

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Speaker 4: do a lot of work on making sure that women

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Speaker 4: are aware of that and how to best support themselves

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Speaker 4: in that. And I'm really happy to be here with you.

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Speaker 1: Love it And you're in New York, right, Alexa.

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Speaker 4: I am for the next two months. I am in

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Speaker 4: New York, although I am typically DC based.

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Speaker 3: Where are you going?

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Speaker 4: I well, what do you mean where am I going?

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Speaker 1: You're going back to DC, U said, you may sound

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Speaker 1: like you're moving.

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Speaker 4: I mean, I'm only here for a quick little sublet

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Speaker 4: helping a friend out. I sow Yap said, would you

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Speaker 4: come here for a little bit. I'm like, yes, of

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Speaker 4: course I will. You don't have to ask me twice.

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Speaker 4: Come to New York. Absolutely, But it's only for two months,

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Speaker 4: and then she has to take it back. I can't

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Speaker 4: steal my friend's sublet. I mean, that'd be a terreact.

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Speaker 1: Oh well, that just keep that Renter mindset in mind

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Speaker 1: for when we get to our question today, because it's

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Speaker 1: a doozy okay, gotcha? All right, Alexa, Financial Diet. Everyone

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Speaker 1: loves that brand, big huge YouTube brand. All right, let's

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Speaker 1: see I know that why definitely comes last in the alphabet,

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Speaker 1: so we only skip to John Quillan.

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Speaker 5: Hello, Hello, I am John Glen Hill. I am the

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Speaker 5: host of Explain It to Me, a podcast from vox

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Speaker 5: where we answer listener questions we get. We get a

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Speaker 5: lot of economic questions and personal finance questions, which Mandy,

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Speaker 5: I'm sure is no surprise to you. You've been on tape.

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Speaker 3: I've been on it.

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Speaker 1: It was so fun. Your voice probably sounds familiar to

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Speaker 1: some BA fan if they listen.

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Speaker 5: Yeah, and you know, I'm based in DC and so

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Speaker 5: out here answering questions for the folks, trying to get them.

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Speaker 1: So you're in DC, okay, So you and Alexakim be pals.

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Speaker 3: I went to Howard and state out here.

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Speaker 5: That's probably the longest I've gone without like mentioning the

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Speaker 5: fact that I went to Howard because, like most Howard alum,

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Speaker 5: I'm annoying about it.

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Speaker 1: But how are we gonna know if you don't let

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Speaker 1: us know. You know what I mean, It's in the slogan.

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Speaker 1: You know, you gotta know that's also true.

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Speaker 5: But it's like people are like, uh, of course you did,

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Speaker 5: and I'm like, I'm so sorry, We're not just like

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Speaker 5: this like something.

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Speaker 1: Deservedly so deservedly so all right, welcome. How long have

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Speaker 1: you been at vox Strongkoland by the way, Oh sorry,

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Speaker 1: now we can call you JQ.

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Speaker 5: Yeah, well John one JQ. They're interchangeable. I've been here

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Speaker 5: since twenty twenty two. It's gonna be three years. Actually,

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Speaker 5: I think I've hit the three year mark. Now, Oh okay,

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Speaker 5: let me know. If you get in a little three

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Speaker 5: year itch, I can help you out. Media girlies.

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Speaker 1: All right, Evie Saint Luis, welcome your turn.

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Speaker 2: Hello, Hello, I'm so excited to be here, especially with

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Speaker 2: all these lovely ladies.

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Speaker 6: So my name is Evie Saint Louis.

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Speaker 2: I'm the VP of Digital Operations and Strategy at Blavity.

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Speaker 2: So Blavity we serve We're a huge media company. We

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Speaker 2: serve black millennials and gen z. Some of the platforms

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Speaker 2: that you all probably have seen include Travel Noir, Blavity

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Speaker 2: twenty one ninety, Travel Noir, so, lots of amazing platforms

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Speaker 2: that we are serving a lot of the brown ambition audience.

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Speaker 1: So I'm at the forefront of black culture. Did you

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Speaker 1: go to the BET Awards last night or the night before?

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Speaker 1: When was it?

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Speaker 4: No?

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Speaker 6: I did not?

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Speaker 3: That was Oh.

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Speaker 1: Goodness, So you and I met. I love how I met,

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Speaker 1: so JQ. You asked me to be on your podcast.

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Speaker 1: That's how we met. That's fun. Alexa. I adopted her

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Speaker 1: from Actually there's a connection with Blavity because Alexa and

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Speaker 1: I both went to Morgan's book, a CEO of Blavity.

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Speaker 1: Morgan her new book, Rewrite the Rules.

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Speaker 4: Go Get It.

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Speaker 1: We met at her book launch party in New York.

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Speaker 4: Who did?

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Speaker 1: And then I adopted you?

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Speaker 4: Yes, yes, yes, yes, that big small you wars took

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Speaker 4: me right.

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Speaker 1: In my big social ingnxiety, like just going with a

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Speaker 1: smile and say hi, it works. And then I just

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Speaker 1: adopt new friends. And alexas like, wait, we were with

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Speaker 1: your friends. I'm like, yeah, No, when I make a friend,

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Speaker 1: I make a friend. I that's it. I'll bring you

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Speaker 1: chicken soup when you're sick, like what you want? You know, Like,

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Speaker 1: I go there and Evie we sat next to each other.

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Speaker 1: We met at the We met at Afrotech last year

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Speaker 1: for the first time. You're newly wed? Is that right?

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Speaker 6: I am? I guess now is it still newly wet?

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Speaker 2: It's been seven ish with some moth October to June,

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Speaker 2: so whatever that is, it's under a year.

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Speaker 6: So I guess it's still newly wet.

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Speaker 1: I guess, Oh yeah, I mean I hope so yeah,

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Speaker 1: I mean, I mean for your sake, like I mean,

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Speaker 1: we all go through our rough patches at different times,

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Speaker 1: but I mean, like you still like him.

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Speaker 3: I hope, yes, I still like him.

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Speaker 6: We were still here, We're still growing strong.

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Speaker 1: So and where are you based? Ev?

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Speaker 6: I'm in Brooklyn, Okay, all right?

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Speaker 1: East Coast Girlies today. I love it. And I'm Mandy

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Speaker 1: Money blah blah blah. Y'all know me. I'm here, I'm here,

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Speaker 1: I'm your host. I'm in New York too. Let's get

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Speaker 1: into it. There's been so much happening, and I kind

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Speaker 1: of stress save myself, like clip a little like links

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Speaker 1: and I'll DM myself, I'll slack myself, I'll email myself, like,

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Speaker 1: don't forget to talk about this, don't forget to talk

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Speaker 1: about that. But what has been for y'all? Right now,

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Speaker 1: I have my list, but I want to know, like

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Speaker 1: what has been? And y'all are all in media, what's

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Speaker 1: been like the headline of the week for y'all the

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Speaker 1: past week that seems to be having the girlies talk?

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Speaker 5: Ooh ooh, Okay, I feel like it's changed because at

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Speaker 5: one point it was all like, oh my god, the

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Speaker 5: bromance between Elon Musk and President Trump is ended, and

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Speaker 5: then LA happened, and it was like, just kidding, that

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Speaker 5: is not the top news anymore.

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Speaker 1: I think it was a stunt just to make that happen.

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Speaker 1: Which part I think that people were so obsessed with

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Speaker 1: the Real Housewife drama of Donald Trump and Elon Musk

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Speaker 1: going each other's through roads on Twitter or whatever social

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Speaker 1: media they used that that Trump was. Trump's team was like,

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Speaker 1: we got to do something. Let's just deploy the National Guard.

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Speaker 1: Let's get some anybody. Can we get the Marines? Can

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Speaker 1: we get can we get the military to La.

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Speaker 4: To can can we get them some good one line

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Speaker 4: to what was it? He said, He's like if they

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Speaker 4: if they hit, will if they spit, will hit something.

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Speaker 1: He said, who said that?

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Speaker 4: Did you guys hear? But Trump said? Trump said that.

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Speaker 4: He said that if the protesters like spit at the

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Speaker 4: officers or anything like that, it'll give the officers reason

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Speaker 4: to hit something like that. I absolutely read that as

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Speaker 4: CNN or CBS one of those you need to get

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Speaker 4: a one liner going. It was really what like that

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Speaker 4: whole like offering a whole Uh what's it called distraction?

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Speaker 4: That Trump versus what.

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Speaker 6: A world we live in?

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Speaker 4: Like?

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Speaker 2: What? What a what a concept? I just can't even imagine.

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Speaker 2: I mean even I mean you mentioned bet earlier on right,

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Speaker 2: and how that's also in LA and so she did

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Speaker 2: a really good job of you know, shedding light and

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Speaker 2: bring that to also a huge thing that the girls

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Speaker 2: are talking about and performances and all that kind of stuff.

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Speaker 6: But it's just so interesting, how like how do we

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Speaker 6: get here? Why are we here again? Oh?

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Speaker 1: Right? Yeah, it was just you know, two hundreds and

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Speaker 1: hundreds of millions of dollars.

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Speaker 3: In It's Musk's fault. It's all his fault.

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Speaker 1: In America's Wait. So I have not had a chance

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Speaker 1: to I just got back from London. Flex now flex

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Speaker 1: and see.

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Speaker 3: But I'm wearing my new cat all the did you

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Speaker 3: have beans on toes?

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Speaker 4: Wait?

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Speaker 3: You saw Beyonce, That's why you were there?

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Speaker 1: Yes, God, I am. I'm like two weeks late to

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Speaker 1: the Beyonce glow, like the Beyonce cowwait carter for discourse,

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Speaker 1: because of course y'all, y'all don't seen her in all

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Speaker 1: the majors that he's in the US so far.

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Speaker 3: Oh no, she hasn't come to DC yet. I'm also waiting. Yeah,

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Speaker 3: she's doing the She's doing the July fourth show here.

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Speaker 3: That's what I'm going to do. Oh America.

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Speaker 1: See that's oh yes, I saw her in London, all

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Speaker 1: the Londoners. There's so I didn't realize how just how

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Speaker 1: like rational and logical everyone in Britain is, because the

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Speaker 1: number one question we got was but didn't didn't she

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Speaker 1: just play in America? Wasn't she just in New York?

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Speaker 1: And I'm like, well, yeah, but.

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Speaker 4: Fun.

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Speaker 5: We thought we would do fun. I have a fun trick, like,

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Speaker 5: oh my gosh, I can't travel right.

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Speaker 1: Yeah, but it was so it was amazing. I went

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Speaker 1: with a couple of girlfriends and my long long time

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Speaker 1: college boyfriend, not boyfriend, Baron Brown, who he and I

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Speaker 1: had gone to Renaissance a couple of years ago, and

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Speaker 1: I knew I was going to be in for an

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Speaker 1: incredible show because Renaissance. I still have this like glow

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Speaker 1: in my chest from that experience and how in credible

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Speaker 1: it felt. And I'm just like Beyonce says, like I

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Speaker 1: got everything I paid for, truly it rained.

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Speaker 2: Do you feel like all of the stuff, I mean

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Speaker 2: it was heavily on like TikTok and everywhere on social media.

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Speaker 2: Do you feel like any of that had any impact

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Speaker 2: on your perform like your experience there?

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Speaker 1: Well, I don't really. I wasn't watching clips. I knew

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Speaker 1: if I saw some outfits, it wouldn't matter because she

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Speaker 1: changes them up anyway. Like I saw some clips and

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Speaker 1: my brother took his surprise as girlfriend with because he's

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Speaker 1: the best, and surprised her with a trip to Cali

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Speaker 1: to see her in la and so I had seen

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Speaker 1: some of the effects and stuff, but you know, it

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Speaker 1: doesn't I really didn't feel like it mattered. And I

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Speaker 1: had gotten these tickets. It's so funny because like half

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Speaker 1: my friends who went there like in their forties. I

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Speaker 1: have one friend and it was like some of her

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Speaker 1: college friends and then me and Baron, And when we

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Speaker 1: were getting tickets, it became very clear that not everybody

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Speaker 1: wanted to stand for three hours. So yeah, so my

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Speaker 1: my other friends they got seats, they got great seats,

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Speaker 1: but in the in the in the stands. But I

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Speaker 1: had been so lucky. I went with my former co

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Speaker 1: host Tiffany last time and through one of her connections,

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Speaker 1: we got upgraded to the pit like what was a

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Speaker 1: club renaissance, which is like the standing room only section

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Speaker 1: next to the stage, And it was magical and just

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Speaker 1: the have met and just like Beyonce's like I just

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Speaker 1: remember her performing Break my Soul like right in front

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Speaker 1: of me, and I was like, okay, we're doing that again. Yeah,

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Speaker 1: let's run it back, Let's do that again.

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Speaker 4: So yeah, we.

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Speaker 1: Spent like the again the cost of like a small

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Speaker 1: home appliance on tickets, but this time the stage.

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Speaker 4: Is set up.

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Speaker 1: Did y'all go to Renaissance?

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Speaker 4: Oh?

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Speaker 1: Absolutely, yeah, yes, I mean I'm just I'm leaving. I'm

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Speaker 1: holding spings for those of you who are not Beyonce

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Speaker 1: fanatics like me, but we all be Hive.

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Speaker 4: Of course I am.

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Speaker 5: I've been, like I've been a fan since like no no, no, no,

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Speaker 5: no Part two, Like it just her career makes me

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Speaker 5: think of my childhood. And I also think I don't

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Speaker 5: think this is a hot take. I think every generation

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Speaker 5: has the ones in a lifetime performer, and I do

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Speaker 5: think she is our greatest living performer. Like are there

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Speaker 5: people you know? And people like there are people who

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Speaker 5: sing better? I mean, I'm like, yeah, technically, but she

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Speaker 5: sounds the way she does in the studio, she's dancing,

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Speaker 5: she's giving you a show. I think she is arguably

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Speaker 5: our greatest living entertainer right now.

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Speaker 1: I have no argument.

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Speaker 4: There's something so powerful and enjoyable about watching someone, specifically

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Speaker 4: a black woman, do exactly what she was meant to do,

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Speaker 4: and to do it on such an international, just global

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Speaker 4: stage where no one can say can look at her

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Speaker 4: and say you don't work hard, No one can look

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Speaker 4: at her and say you didn't put your rolliet this.

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Speaker 4: That alone, no matter how we feel about her vocal

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Speaker 4: ability or anything else, like that speaks above everything else

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Speaker 4: to me. And there's something about watching someone do that

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Speaker 4: that is so like I can't help but respect you.

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Speaker 4: I can't help but cheer you on. Do I have

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Speaker 4: eight hundred dollars for your concert tickets? Maybe not? Maybe not,

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Speaker 4: But you will never see me say a negative word

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Speaker 4: about you you want social media or anywhere else like,

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Speaker 4: I will support what you do.

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Speaker 6: Have I agree?

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Speaker 2: I think like her work ethic, it doesn't matter what

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Speaker 2: you do, what industry that you are in, or whatever,

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Speaker 2: like you have got to be inspired by this woman

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Speaker 2: and what this black woman and what she's able to

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Speaker 2: do and accomplish, and also just how much work she

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Speaker 2: puts into it to be this.

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Speaker 6: You know, I think JQ you mentioned it.

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Speaker 2: Honestly, I agree the probably one of the best performance

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Speaker 2: of our time, right like singing, dancing, walking in rain.

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Speaker 6: All the if your vocals are still they're so vocaling,

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Speaker 6: you know, I.

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Speaker 2: Just you just can't. It doesn't matter what how you're

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Speaker 2: in or or whatever. You have to be inspired by her.

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Speaker 1: You have to just appreciate the artistry. You have to

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Speaker 1: actively not want to be inspired. And those people I

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Speaker 1: choose not to associate with because why would you choose?

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Speaker 1: Why would you choose to not enjoy that that sunshine?

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Speaker 1: It's like people who stay inside on a beautiful day,

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Speaker 1: Like that's your choice, but like why would why would

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Speaker 1: you not choose to stand in the sun? Because that

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Speaker 1: is what she is. And you know, I got I

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Speaker 1: got back from the concert my dad. My dad's heavily.

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Speaker 1: Do your parents send you Facebook Facebook links that you

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Speaker 1: know are going to have, like you know, like conspiracy

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Speaker 1: theories and yeah, I get you get them via What's Up? Yeah,

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Speaker 1: So my dad sent me some link and it was

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Speaker 1: about how it was some like conspiracy theory slash like

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Speaker 1: religious bru haha, about like how Beyonce fans they suffer

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Speaker 1: from amnesia after a concert because we're so emotionally excited.

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Speaker 1: And I was just like, okay, but it's like also,

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Speaker 1: you know, demon symbols and people, you know, celebrating false

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Speaker 1: idols and all that kind of stuff. But when I

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Speaker 1: tell you, I truly and there's worse things to worship

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Speaker 1: then an extension of the Lord himself. Artists like Beyonce

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Speaker 1: are vessels. I'm not even that religious, but like you

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Speaker 1: really feel like, oh, she's here for a bigger purpose.

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Speaker 1: She is a vessel from you know, God is love,

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Speaker 1: is what I believe, and she is a vessel of love,

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Speaker 1: and it's just so why would you deny that? It

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Speaker 1: feels so good? And I remember all the staff at

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Speaker 1: the stadium were saying how Beyonce fans are the nicest

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Speaker 1: and how we just bring such great vibes. And I

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Speaker 1: believe it because she just exudes love and her babies

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Speaker 1: are on stage and and the I won't spoil it

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Speaker 1: for you, JQ and Evie and Alexa.

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Speaker 3: Are you going to see her or have you already

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Speaker 3: seen it.

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Speaker 4: I don't think I'm going to. I want to, but yeah,

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Speaker 4: some last night its online there.

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Speaker 5: I was about to say, there's that girl who is

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Speaker 5: on TikTok and she will buy her concert tickets on

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Speaker 5: the way to the concert and get them for like

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Speaker 5: significantly less.

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Speaker 4: Exactly what you were talking about. You see. It's the

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Speaker 4: older sister OCD part of me. The anxiety is I

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Speaker 4: the idea of getting fully dressed up going out there

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Speaker 4: and like not knowing for sure that I will have

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Speaker 4: the space for me that I'll get in. Oh my god.

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Speaker 1: I just yeah, like.

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Speaker 4: Yeah, I'm gonna try. I'll try. But like you guys,

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Speaker 4: you don't have to understand the anxiety that is like

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Speaker 4: my biggest opponent here.

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Speaker 3: I get it.

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Speaker 4: Well.

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Speaker 1: London weather was weathering. It was like full on it

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Speaker 1: was raining, it was cold, but I was still in

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Speaker 1: my denim shorts and I were like I was I

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Speaker 1: just knew I was gonna be I was in the

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Speaker 1: honeybucking pit and I was like, gonna be surrounded by bodies.

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Speaker 1: It's going to be great. And it rained at the

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Speaker 1: most like perfect points. It rained at the beginning and

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Speaker 1: it just kind of like drizzled and she's in the rain.

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Speaker 1: It's just made everything. And at the end, when she's

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Speaker 1: doing her closing number, it started to rain again. And

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Speaker 1: you know, I won't spoil the closing number. I did

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Speaker 1: keep the set list a secret for myself. But god,

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Speaker 1: like when she's singing and you know she has the visuals,

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Speaker 1: the visuals. I remember the visuals from Renaissance, but I

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Speaker 1: think the visuals from this tour are exceptional. Like we

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Speaker 1: were all just glued to the screen, and some of

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Speaker 1: the visuals full on ugly tears, full on ugly. You

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Speaker 1: might be able to imagine the points in which me

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Speaker 1: a mom cried, but it was it was just, it

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Speaker 1: was everything. And I booked myself a massage the next

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Speaker 1: morning because I knew my legs were going.

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Speaker 3: To be so so smart. It was very smart.

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Speaker 1: And then yeah, of course, yeah Rumy each one or

404
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Speaker 1: was it just a couple? I think everyone, Yeah, Rumy

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Speaker 1: came out for a little bit and oh my god,

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Speaker 1: Blue Blue seeing her growth like, blew me away, blew

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Speaker 1: everybody away, got the biggest applause. She was such a

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Speaker 1: big girl.

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Speaker 5: But I'm also like, that's that baby that was in

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Speaker 5: her belly at the VMA's what is time?

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Speaker 4: Am I old?

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Speaker 3: What's going on?

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Speaker 1: Isn't it incredible? And it's just but that's what I mean, Like,

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Speaker 1: that's what you mean. JQ by the artist of our time,

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Speaker 1: because even her children are becoming like we all feel

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Speaker 1: like Auntie's Like I truly feel like I'm Blue's Auntie.

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Speaker 1: Like anything she needs, I'll be there. No one's ever

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Speaker 1: calling me for her, but like I would be there

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Speaker 1: for her, and uh and she's just a kid and anyway,

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Speaker 1: just you just feel the love and that and if

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Speaker 1: I can just like carry an ounce of that energy

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Speaker 1: with me and share that with the world like that

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Speaker 1: is that is an accomplishment. So yeah, go see it.

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Speaker 1: I'm trying to convince y'all. But that's fine.

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Speaker 3: Oh I'm there, I'm I'm there. What am I gonna wear?

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Speaker 3: I don't know, but.

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Speaker 1: I want I'll be there. I got my hat the

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Speaker 1: day before or from like TJ Max. It's like I'm

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Speaker 1: gonna post something about it. It's like this, like what

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Speaker 1: do you like? There's like the sun hats that are

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00:21:05,920 --> 00:21:08,000
Speaker 1: like a cowboy hat, but they're like made out of

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Speaker 1: mesh or something. They're folded bowl and it was raining

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Speaker 1: right and it wasn't just raining, but I was like,

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Speaker 1: I'm dancing, I'm pulling my hair, I'm pet in the hat,

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Speaker 1: I'm swinging the hat. I'm like getting into it. By

436
00:21:19,560 --> 00:21:20,919
Speaker 1: the way, I think I was on screen for like

437
00:21:20,960 --> 00:21:23,800
Speaker 1: point five seconds. One of my friends that she's all made,

438
00:21:24,040 --> 00:21:25,920
Speaker 1: she was like, yeah, you were going bang bang bait.

439
00:21:27,359 --> 00:21:28,360
Speaker 3: But my hat.

440
00:21:28,800 --> 00:21:31,160
Speaker 1: By the end of the concert, I can't even use

441
00:21:31,200 --> 00:21:34,399
Speaker 1: these photos. The hat is so flat. It just looks

442
00:21:34,440 --> 00:21:39,199
Speaker 1: like someone's old, rusty, like old dead shoe on my

443
00:21:39,320 --> 00:21:45,400
Speaker 1: head was not cute anymore. And then yeah, I got

444
00:21:45,400 --> 00:21:46,920
Speaker 1: on the plane and I catch you up on news

445
00:21:46,960 --> 00:21:49,720
Speaker 1: and it's like, oh, la protests, oh elon mu. I

446
00:21:49,800 --> 00:21:52,080
Speaker 1: really had not been clocked into the whole Elon versus

447
00:21:52,119 --> 00:21:52,800
Speaker 1: Trump of it all.

448
00:21:55,040 --> 00:21:56,160
Speaker 3: It happened very quickly.

449
00:21:56,320 --> 00:21:59,240
Speaker 5: I feel like it went from we're good to we're

450
00:21:59,280 --> 00:22:01,200
Speaker 5: not good, very very fast.

451
00:22:01,400 --> 00:22:02,959
Speaker 1: And then it just but then it got and then

452
00:22:03,000 --> 00:22:06,920
Speaker 1: it went poof like they haven't really been beefing online,

453
00:22:06,960 --> 00:22:08,800
Speaker 1: Like do you think that they have met and they

454
00:22:08,800 --> 00:22:11,640
Speaker 1: have both said I got dirt on you, you got dirt

455
00:22:11,720 --> 00:22:13,520
Speaker 1: on me. We got to cut this out.

456
00:22:14,400 --> 00:22:16,119
Speaker 5: I don't even know if it's so much that as

457
00:22:16,200 --> 00:22:20,800
Speaker 5: much as just like they both kind of need each

458
00:22:20,800 --> 00:22:21,960
Speaker 5: other in interesting ways.

459
00:22:22,000 --> 00:22:23,840
Speaker 3: Like Elon Musk is a huge donor.

460
00:22:24,000 --> 00:22:28,280
Speaker 5: He the way he funded that campaign and even the

461
00:22:28,520 --> 00:22:30,359
Speaker 5: judge election in Wisconsin, I mean.

462
00:22:30,640 --> 00:22:34,160
Speaker 1: Yeah, other elections. The whole Republican Party needs that man.

463
00:22:34,560 --> 00:22:37,840
Speaker 5: Yeah, and then Trump has the big following it. Just

464
00:22:37,960 --> 00:22:43,639
Speaker 5: I think it's it's a relationship that they can government contract. Yeah,

465
00:22:43,640 --> 00:22:45,800
Speaker 5: they both benefit from the relationship. So it's a thing

466
00:22:45,840 --> 00:22:48,160
Speaker 5: of like, Okay, maybe we actually should keep this cute.

467
00:22:48,240 --> 00:22:49,840
Speaker 3: Plus they have lots of mutual friends.

468
00:22:50,240 --> 00:22:52,000
Speaker 5: I think it's that thing of I don't know, if

469
00:22:52,040 --> 00:22:54,720
Speaker 5: you like, if a friend breakup and you have so

470
00:22:54,760 --> 00:22:56,520
Speaker 5: many mutual friends, where like people.

471
00:22:56,280 --> 00:22:58,960
Speaker 3: Are like you, guys, this is not you, Like you

472
00:22:59,000 --> 00:22:59,639
Speaker 3: got to keep.

473
00:22:59,480 --> 00:23:02,760
Speaker 5: A chill, Like you're both gonna be at the birthday dinner.

474
00:23:02,800 --> 00:23:03,119
Speaker 4: You have to.

475
00:23:03,119 --> 00:23:05,119
Speaker 3: And I think it's that sort of situation, but just

476
00:23:05,160 --> 00:23:06,240
Speaker 3: with much higher stakes.

477
00:23:07,200 --> 00:23:10,720
Speaker 2: I think they're both very high egos here, right, Like

478
00:23:11,880 --> 00:23:15,600
Speaker 2: very very high egos. So I could see a world

479
00:23:15,680 --> 00:23:18,879
Speaker 2: where they're both kind of like super stubborn and like

480
00:23:18,960 --> 00:23:21,439
Speaker 2: oh I did this, or like Elon said this, so

481
00:23:21,480 --> 00:23:23,960
Speaker 2: I'm not going to you know, like I could definitely

482
00:23:24,000 --> 00:23:27,240
Speaker 2: see a world where they draw this out a little

483
00:23:27,280 --> 00:23:31,840
Speaker 2: bit more right, or they just like never get back

484
00:23:31,880 --> 00:23:34,480
Speaker 2: and they just continue doing this to each other.

485
00:23:35,080 --> 00:23:36,879
Speaker 6: So I don't know, that's just my thoughts.

486
00:23:38,119 --> 00:23:40,640
Speaker 4: I think it'll go into being a bunch of little

487
00:23:40,680 --> 00:23:43,440
Speaker 4: mini transgressions moving forward, like you see them in front

488
00:23:43,440 --> 00:23:46,240
Speaker 4: of each other, and like Trump refuses to acknowledge him,

489
00:23:46,240 --> 00:23:49,159
Speaker 4: like looking at him, or you know, Elon's like that

490
00:23:49,320 --> 00:23:52,560
Speaker 4: guy instead of saying President Trump like just the small

491
00:23:52,640 --> 00:23:56,880
Speaker 4: things that for themselves feed their own egos and whatnot,

492
00:23:57,119 --> 00:24:01,439
Speaker 4: but aren't going to absolutely we roptued the relationship that

493
00:24:01,440 --> 00:24:02,800
Speaker 4: they need to have continue.

494
00:24:03,480 --> 00:24:05,879
Speaker 1: I think Trump, I mean, I think Elon needs to

495
00:24:05,880 --> 00:24:08,520
Speaker 1: release the Epstein file that he said, or like the dirt,

496
00:24:09,760 --> 00:24:11,960
Speaker 1: because didn't he say that Trump is in the Epstein

497
00:24:12,000 --> 00:24:15,359
Speaker 1: files in it. Jamale Hill had my you know, I

498
00:24:15,400 --> 00:24:17,440
Speaker 1: wasn't really into the beef. My friend is very she's

499
00:24:17,560 --> 00:24:19,480
Speaker 1: very she works with the government, she's very into it.

500
00:24:19,880 --> 00:24:21,439
Speaker 3: And she was just like, did you see this what

501
00:24:21,480 --> 00:24:21,760
Speaker 3: he said?

502
00:24:21,800 --> 00:24:23,120
Speaker 1: Da da da, And I just I'm like, I can't

503
00:24:23,160 --> 00:24:25,560
Speaker 1: watch these childre there's bigger things like going on in

504
00:24:25,560 --> 00:24:27,919
Speaker 1: the world. But she sent me. What was funny was

505
00:24:27,920 --> 00:24:30,360
Speaker 1: the reactions from Twitter because black twitter never failed. Oh

506
00:24:30,400 --> 00:24:32,800
Speaker 1: now Twitter was a great day that day, and now

507
00:24:32,840 --> 00:24:35,040
Speaker 1: it's black threads. I don't I don't do I don't

508
00:24:35,080 --> 00:24:36,959
Speaker 1: do X, I don't do Twitter, but I'm on threads

509
00:24:37,040 --> 00:24:39,640
Speaker 1: and I think Jamale Hill had my favorite. She had

510
00:24:39,640 --> 00:24:42,359
Speaker 1: like a meme of the Kendrick meme for the Super

511
00:24:42,359 --> 00:24:45,600
Speaker 1: Bowl where he's smiling, you know, and it was like

512
00:24:45,720 --> 00:24:48,760
Speaker 1: Elon to Trump because he's basically calling Trump.

513
00:24:50,560 --> 00:24:54,280
Speaker 5: Yeah you know what, Well, he he did delete the post.

514
00:24:54,520 --> 00:24:56,520
Speaker 1: He did. Indeed he deleted that one.

515
00:24:57,320 --> 00:25:00,240
Speaker 3: Uh yeah, I think he did. Yeah about the Epstein, Yeah,

516
00:25:00,240 --> 00:25:01,680
Speaker 3: he went back and to lead some posts.

517
00:25:01,720 --> 00:25:04,639
Speaker 5: So I think I think they were. They were probably

518
00:25:04,640 --> 00:25:06,919
Speaker 5: having some conversations online. It would not surprise me.

519
00:25:08,480 --> 00:25:09,280
Speaker 1: You mean offline.

520
00:25:09,880 --> 00:25:12,080
Speaker 3: Yeah, That's what I meant. They're having conversations offline.

521
00:25:12,320 --> 00:25:15,480
Speaker 1: You think he's getting threatened, I mean not. I mean

522
00:25:15,480 --> 00:25:18,840
Speaker 1: I know that Elon's has money, but Trump literally is

523
00:25:18,920 --> 00:25:24,200
Speaker 1: the commander of the free world. Like he has money, power,

524
00:25:25,480 --> 00:25:29,199
Speaker 1: he has military, he got CIA, he got black ops,

525
00:25:29,240 --> 00:25:32,119
Speaker 1: like he can do whatever he wants. I would not

526
00:25:32,160 --> 00:25:35,040
Speaker 1: be messing around Elon. Musk might get your ass deported

527
00:25:35,080 --> 00:25:38,600
Speaker 1: back to South Africa. Could be good for us. Did

528
00:25:38,640 --> 00:25:39,760
Speaker 1: we not hate him? We hate him?

529
00:25:39,800 --> 00:25:40,399
Speaker 3: Right, we hate him?

530
00:25:40,480 --> 00:25:42,640
Speaker 1: Get him out? But it's like, who do we hate more?

531
00:25:42,680 --> 00:25:43,120
Speaker 1: Do we want?

532
00:25:43,280 --> 00:25:43,439
Speaker 5: We do?

533
00:25:43,480 --> 00:25:46,200
Speaker 1: Want Elon to stick around so that he can give

534
00:25:46,280 --> 00:25:48,359
Speaker 1: us enough dirt on Trump so that he's finally like

535
00:25:48,480 --> 00:25:51,159
Speaker 1: done or is Elon the bigger threat.

536
00:25:52,400 --> 00:25:56,200
Speaker 5: If I learned anything during the first Trump administration, it's

537
00:25:57,160 --> 00:25:59,720
Speaker 5: expect the unexpected. You just never know what's gonna happen.

538
00:25:59,840 --> 00:26:03,159
Speaker 5: It's just there's no way to get a sense. You

539
00:26:03,200 --> 00:26:06,240
Speaker 5: can like guess how the reactions are gonna be. But

540
00:26:07,080 --> 00:26:08,840
Speaker 5: I mean, it really is a who's to say?

541
00:26:10,240 --> 00:26:10,640
Speaker 1: People?

542
00:26:10,680 --> 00:26:12,399
Speaker 4: Wait, can I actually I want to I want to

543
00:26:12,400 --> 00:26:14,600
Speaker 4: push back there a little bit expecting unexpected because I

544
00:26:14,600 --> 00:26:17,480
Speaker 4: feel like Trump, every single thing this man has said

545
00:26:17,520 --> 00:26:21,159
Speaker 4: he's gonna do is what he does. As ridiculous as

546
00:26:21,200 --> 00:26:23,159
Speaker 4: it is, is what he does. So is it like

547
00:26:23,240 --> 00:26:26,719
Speaker 4: it's like it's more like, in my opinion, expect exactly

548
00:26:26,760 --> 00:26:31,000
Speaker 4: what he says he's gonna Yeah, yeah, I think policy wise,

549
00:26:31,119 --> 00:26:32,920
Speaker 4: tell me he come back at me. No, I think

550
00:26:33,000 --> 00:26:35,600
Speaker 4: for sure, policy wise, like he's especially now that he

551
00:26:35,600 --> 00:26:38,639
Speaker 4: doesn't have to run for reelection, Like absolutely, we're seeing

552
00:26:38,720 --> 00:26:40,879
Speaker 4: a lot of more moves. But I think as far

553
00:26:40,920 --> 00:26:44,800
Speaker 4: as like the interpersonal, the palace intrigue, that is where

554
00:26:45,320 --> 00:26:47,480
Speaker 4: the wild card lies, because there were a lot of

555
00:26:47,480 --> 00:26:49,960
Speaker 4: people who didn't think the relationship with Musk was gonna

556
00:26:50,000 --> 00:26:53,480
Speaker 4: last this long, and honestly, I think, you know, things

557
00:26:53,480 --> 00:26:55,439
Speaker 4: were winding down. I think a major part of the

558
00:26:55,480 --> 00:26:58,560
Speaker 4: reason things fell apart. Like I've read some reporting on this,

559
00:26:58,680 --> 00:27:02,080
Speaker 4: like Trump was not happy about the piece that came

560
00:27:02,119 --> 00:27:07,480
Speaker 4: out about Elon Musk and his alleged ketamine use.

561
00:27:07,680 --> 00:27:09,520
Speaker 3: Like Trump is very much a teetoller.

562
00:27:09,960 --> 00:27:12,199
Speaker 5: He does not drink, Like he doesn't do drug Like

563
00:27:12,240 --> 00:27:13,879
Speaker 5: that is not his thing at all, and for that

564
00:27:13,920 --> 00:27:17,800
Speaker 5: to come out, I think, yeah, it's like very Yeah, it's.

565
00:27:17,680 --> 00:27:20,840
Speaker 3: Like very known, like Trump does not drink, and so.

566
00:27:21,040 --> 00:27:23,800
Speaker 1: That you found a way to use teetllar in a sentence.

567
00:27:23,840 --> 00:27:26,880
Speaker 3: I know, I kept that one in my back pocket.

568
00:27:26,880 --> 00:27:30,280
Speaker 3: I haven't old mom to that. I love it.

569
00:27:30,720 --> 00:27:34,480
Speaker 5: Yeah, but yeah, I think that was I think. I mean,

570
00:27:34,760 --> 00:27:37,040
Speaker 5: I think things were rough prior to that. And also,

571
00:27:37,240 --> 00:27:40,439
Speaker 5: like Musk is very displeased with this bill because he

572
00:27:40,480 --> 00:27:43,600
Speaker 5: feels like it's undoing a lot of the work that

573
00:27:43,720 --> 00:27:46,240
Speaker 5: he did to cut spending and you know.

574
00:27:46,520 --> 00:27:48,280
Speaker 3: Tax cuts beautiful bullshit.

575
00:27:48,359 --> 00:27:51,560
Speaker 5: That's not going to bring in more money. So I

576
00:27:51,560 --> 00:27:55,439
Speaker 5: think like it just it reached a fever pitch plus ego,

577
00:27:57,119 --> 00:27:59,280
Speaker 5: the girls were fighting, but now they've calmed down.

578
00:27:59,359 --> 00:28:04,159
Speaker 1: But the girls, hey, ba fam, we got to take

579
00:28:04,200 --> 00:28:07,080
Speaker 1: a quick break, pay some bills and we'll be right back.

580
00:28:07,600 --> 00:28:10,200
Speaker 1: All right, ba fam, we're back. Well, they've calmed down.

581
00:28:10,320 --> 00:28:11,879
Speaker 1: And the next thing that has been in the news

582
00:28:11,880 --> 00:28:15,280
Speaker 1: were the ice raids. And do y'all know anybody on

583
00:28:15,320 --> 00:28:18,040
Speaker 1: the West coast I was following. I don't think anyone

584
00:28:18,119 --> 00:28:21,000
Speaker 1: I know personally has been out there protesting, But I

585
00:28:21,040 --> 00:28:23,440
Speaker 1: don't understand why it escalated to the point where we

586
00:28:23,520 --> 00:28:27,880
Speaker 1: are sending out Marines National Guard for a peaceful protest.

587
00:28:28,720 --> 00:28:30,240
Speaker 1: It's quite I don't terrifying.

588
00:28:31,480 --> 00:28:35,119
Speaker 2: I don't understand that either. And so what you said

589
00:28:35,240 --> 00:28:38,640
Speaker 2: earlier of it, you know, this all plays into it.

590
00:28:38,760 --> 00:28:41,280
Speaker 2: I'm like, hmm, that's a possibility. But I just don't

591
00:28:41,360 --> 00:28:46,400
Speaker 2: understand of all of the the things to send resources

592
00:28:46,440 --> 00:28:49,760
Speaker 2: for this is this is not it like this is

593
00:28:49,840 --> 00:28:53,160
Speaker 2: just not it so and of all places too, like LA,

594
00:28:53,400 --> 00:28:56,440
Speaker 2: I just don't understand that aspect at all.

595
00:28:56,600 --> 00:28:59,120
Speaker 4: It's such a dramatic response. Students will protest just has

596
00:28:59,120 --> 00:29:02,600
Speaker 4: me feeling, you know, the dictatorship vibe when they cracked

597
00:29:02,640 --> 00:29:05,960
Speaker 4: on on any little, any little noise, any little peep,

598
00:29:06,000 --> 00:29:07,640
Speaker 4: I'm cracking down on you. So you see what's gonna

599
00:29:07,640 --> 00:29:09,400
Speaker 4: happen if you ever try to do anything big, Like

600
00:29:09,440 --> 00:29:11,720
Speaker 4: I really and that's I mean, and it's it's common

601
00:29:11,760 --> 00:29:15,880
Speaker 4: across the maror especially considering who is protesting, right, I

602
00:29:15,880 --> 00:29:17,640
Speaker 4: would like to actually I wish I'd been able to

603
00:29:17,640 --> 00:29:21,640
Speaker 4: research this, but specifically like the neighborhoods in not the

604
00:29:21,640 --> 00:29:24,480
Speaker 4: neighborhood specifically, like like the people who are protesting, Like

605
00:29:24,520 --> 00:29:28,040
Speaker 4: what is the racial demographic of people showing up. I'd

606
00:29:28,120 --> 00:29:31,280
Speaker 4: be very curious to know that, because I'm wondering if that,

607
00:29:31,440 --> 00:29:34,959
Speaker 4: by any any means had to do with the dramatic response,

608
00:29:35,000 --> 00:29:38,240
Speaker 4: because I'm just thinking LA protests. When black and brown

609
00:29:38,240 --> 00:29:41,240
Speaker 4: people are protesting, or when people are protesting for black

610
00:29:41,240 --> 00:29:46,560
Speaker 4: and brown people, the response is always extremely dramatic.

611
00:29:47,240 --> 00:29:50,240
Speaker 1: I'm looking at some of the all the neighborhoods that

612
00:29:50,360 --> 00:29:53,760
Speaker 1: it started out in this neighborhood. Well there was like

613
00:29:53,760 --> 00:29:58,200
Speaker 1: a clothing wholesaler. I don't where was that neighborhood. I

614
00:29:58,480 --> 00:29:59,920
Speaker 1: need to look that up. But there was a clo

615
00:30:00,000 --> 00:30:02,560
Speaker 1: Oh wholesaler where first the ice ray was going to happen.

616
00:30:02,600 --> 00:30:05,440
Speaker 1: But then the next day the word got around that

617
00:30:05,440 --> 00:30:07,080
Speaker 1: there was going to be a raid in this town

618
00:30:07,120 --> 00:30:12,000
Speaker 1: called Paramount, at a home depot, and then I think

619
00:30:12,000 --> 00:30:15,480
Speaker 1: what you are seeing is a lot of I think, well,

620
00:30:15,800 --> 00:30:18,480
Speaker 1: it's affecting Latinos and we're talking about La We're talking

621
00:30:18,520 --> 00:30:24,040
Speaker 1: like this is like heavily, heavily populated by the very

622
00:30:24,040 --> 00:30:27,520
Speaker 1: people who are being targeted. So the people who were

623
00:30:27,520 --> 00:30:30,120
Speaker 1: working at these places were calling family friends, and then

624
00:30:30,160 --> 00:30:32,600
Speaker 1: work gets out. So you see a lot of Mexican

625
00:30:32,640 --> 00:30:36,960
Speaker 1: flags waving. You see some really choice signs, a lot

626
00:30:36,960 --> 00:30:40,960
Speaker 1: of signs in Spanish. There's one sign that says National Guard. Lol.

627
00:30:41,320 --> 00:30:45,760
Speaker 1: There's a lot of ice out of La deport maga,

628
00:30:46,000 --> 00:30:51,840
Speaker 1: not the people. But it's peaceful protesting. I mean it

629
00:30:51,840 --> 00:30:54,840
Speaker 1: it harkens back. I feel like too. I'm thinking about

630
00:30:54,840 --> 00:30:56,760
Speaker 1: the summer of twenty twenty in the Black Lives Matter

631
00:30:56,840 --> 00:31:01,120
Speaker 1: protests and the fear that you had about the protesters

632
00:31:01,160 --> 00:31:04,840
Speaker 1: themselves put in themselves in harm's way, And I do

633
00:31:04,880 --> 00:31:07,040
Speaker 1: feel like what you were saying rings true of when

634
00:31:07,080 --> 00:31:10,640
Speaker 1: it is a black and brown issue at the heart

635
00:31:10,680 --> 00:31:13,560
Speaker 1: of it, it's like we're gonna we need to get

636
00:31:13,560 --> 00:31:15,680
Speaker 1: our get the guns out, you know, bring them in,

637
00:31:15,720 --> 00:31:19,320
Speaker 1: because these people are savages. We must control them. That's

638
00:31:19,360 --> 00:31:22,600
Speaker 1: another like that's an echo of the BLM movement and

639
00:31:22,640 --> 00:31:24,240
Speaker 1: protests that I feel like we're hearing today.

640
00:31:24,600 --> 00:31:27,120
Speaker 3: I think it really is like the reason the National

641
00:31:27,200 --> 00:31:29,720
Speaker 3: Guard was called. All of it. It's about a show

642
00:31:29,760 --> 00:31:30,240
Speaker 3: of power.

643
00:31:30,440 --> 00:31:33,120
Speaker 5: Like I think part of it is like, Okay, maybe

644
00:31:33,120 --> 00:31:36,080
Speaker 5: this will escalate the situation and we will, you know,

645
00:31:36,680 --> 00:31:39,560
Speaker 5: get video of the way mos on fire and this

646
00:31:39,720 --> 00:31:43,080
Speaker 5: police force, and it's just it's it's really too ratchet

647
00:31:43,120 --> 00:31:46,800
Speaker 5: up to show like, hey, look, la, it's like occupied,

648
00:31:46,880 --> 00:31:49,280
Speaker 5: it's military. I do think that is part of the point.

649
00:31:49,400 --> 00:31:51,320
Speaker 5: And Trump is also he's just a big fan of

650
00:31:51,560 --> 00:31:54,840
Speaker 5: military strength. Like in DC there's gonna be a military

651
00:31:54,920 --> 00:31:58,440
Speaker 5: parade on Saturday, which is a.

652
00:31:59,320 --> 00:32:01,239
Speaker 1: Which is why you said always wanted. He gets a

653
00:32:01,240 --> 00:32:02,520
Speaker 1: hard on for that kind of stuff.

654
00:32:02,720 --> 00:32:04,960
Speaker 5: It's like the traffic situation is I'm just like, oh

655
00:32:04,960 --> 00:32:06,840
Speaker 5: my gosh, how am I gonna?

656
00:32:06,880 --> 00:32:07,240
Speaker 3: Oh?

657
00:32:07,320 --> 00:32:08,320
Speaker 4: Is this the first year?

658
00:32:08,440 --> 00:32:09,680
Speaker 6: Like does this happen every year?

659
00:32:10,120 --> 00:32:15,360
Speaker 5: No, it's like a two hundred and fiftieth anniversary situation.

660
00:32:17,160 --> 00:32:19,840
Speaker 5: But yeah, it's like I know people who have seen

661
00:32:19,920 --> 00:32:22,360
Speaker 5: like streets starting to get shut down. All he just

662
00:32:22,480 --> 00:32:25,640
Speaker 5: he really enjoys like that military show. And I think

663
00:32:25,640 --> 00:32:27,320
Speaker 5: this is part of it. And I think it's also

664
00:32:27,320 --> 00:32:29,520
Speaker 5: a thing of like, Okay, we can make an example

665
00:32:29,760 --> 00:32:30,800
Speaker 5: out of LAC.

666
00:32:32,240 --> 00:32:34,160
Speaker 3: I told you i'd be law and order. I told

667
00:32:34,160 --> 00:32:36,840
Speaker 3: you I'd crack down, like I'm doing it.

668
00:32:36,880 --> 00:32:38,959
Speaker 5: Like it's just I think part of the point is

669
00:32:39,040 --> 00:32:41,360
Speaker 5: to sort of escalate the situation.

670
00:32:42,400 --> 00:32:46,240
Speaker 4: Yeah, the irony of it happening the very weekend after Pride,

671
00:32:47,920 --> 00:32:50,000
Speaker 4: like the very next weekend, because we had Pride. Yeah,

672
00:32:50,360 --> 00:32:52,840
Speaker 4: does this past weekend you know, Doci was there, Cynthia

673
00:32:52,920 --> 00:32:55,080
Speaker 4: Ribo was there, Khalid was there, like it was a

674
00:32:55,080 --> 00:32:57,600
Speaker 4: whole big thing. And then so it's the very next

675
00:32:57,600 --> 00:33:00,520
Speaker 4: weekend to have a military parade where people we're seeing

676
00:33:00,640 --> 00:33:03,440
Speaker 4: back during this past weekend like outside their windows in Virginia.

677
00:33:03,480 --> 00:33:05,560
Speaker 4: I believe it was on the train tracks, like all

678
00:33:05,600 --> 00:33:08,880
Speaker 4: of the what are those major like canon thing.

679
00:33:08,920 --> 00:33:10,440
Speaker 3: Like the tanks and son.

680
00:33:10,880 --> 00:33:13,360
Speaker 4: Yeah, yes, like the tanks were all on the trains

681
00:33:13,400 --> 00:33:15,880
Speaker 4: heading in for the parade. This at the same time

682
00:33:15,920 --> 00:33:18,840
Speaker 4: that we were celebrating Pride and and you know, self

683
00:33:18,840 --> 00:33:22,600
Speaker 4: expression and and these it's just not lost on maybe irony.

684
00:33:23,480 --> 00:33:26,880
Speaker 1: I forgot all about pride. Oh, Cynthia Revo, you know

685
00:33:26,920 --> 00:33:29,480
Speaker 1: what also got lost in the sauce. The Tony's Cynthia

686
00:33:30,520 --> 00:33:34,760
Speaker 1: helped it speaking of gay icons and icons in general

687
00:33:35,200 --> 00:33:38,840
Speaker 1: and vessels from above. Oh my days are all Tony's people?

688
00:33:38,960 --> 00:33:41,040
Speaker 1: Were you watching? I totally missed it because it was

689
00:33:41,440 --> 00:33:42,200
Speaker 1: I was in London.

690
00:33:42,600 --> 00:33:43,400
Speaker 3: I was watching the clips.

691
00:33:43,440 --> 00:33:45,920
Speaker 5: I'm not gonna lie, it's I know it's like corny

692
00:33:45,960 --> 00:33:49,120
Speaker 5: and embarrassing now, but I was like, dang that Hamilton

693
00:33:49,200 --> 00:33:49,920
Speaker 5: used to hit hard.

694
00:33:49,800 --> 00:33:50,720
Speaker 1: In Filmy sixteen.

695
00:33:51,000 --> 00:33:54,680
Speaker 5: It's I forgot about. I forgot how used to hit

696
00:33:54,720 --> 00:33:57,800
Speaker 5: that hard? I have to run that back look key.

697
00:33:58,800 --> 00:33:59,720
Speaker 6: I don't know if it is.

698
00:34:00,360 --> 00:34:04,000
Speaker 2: I was like, because I remember that those that soundtrack

699
00:34:04,200 --> 00:34:06,360
Speaker 2: was like on for me all the time, like I'm

700
00:34:06,400 --> 00:34:09,400
Speaker 2: running up, I'm hailed it, but I'm doing something like it.

701
00:34:09,880 --> 00:34:12,600
Speaker 2: So I feel like it just was so nostalgic, and

702
00:34:12,640 --> 00:34:14,680
Speaker 2: I really love that they they did all that, and

703
00:34:14,719 --> 00:34:16,759
Speaker 2: I love the presence of the cast like Fors for

704
00:34:16,800 --> 00:34:17,719
Speaker 2: the most part of it.

705
00:34:18,719 --> 00:34:20,919
Speaker 6: Those were the clicks I loved watching back too.

706
00:34:21,600 --> 00:34:25,880
Speaker 1: Yeah, I mean original Broadway cast no flex but a flex.

707
00:34:25,920 --> 00:34:31,400
Speaker 1: I did see them, but it was I My brother's

708
00:34:31,440 --> 00:34:33,480
Speaker 1: like five years younger, and he saw he was not

709
00:34:33,560 --> 00:34:36,000
Speaker 1: in the Hamilton. He was like pointedly like, I didn't

710
00:34:36,080 --> 00:34:38,000
Speaker 1: like it. Why are black and brown bodies being used

711
00:34:38,040 --> 00:34:41,799
Speaker 1: to tell these white slaver stories? But I for the

712
00:34:41,960 --> 00:34:44,319
Speaker 1: art it was. I'm so glad they celebrated it. You

713
00:34:44,360 --> 00:34:46,439
Speaker 1: can't take it from us. I really don't think you can.

714
00:34:46,680 --> 00:34:49,400
Speaker 1: Like it was a cultural movement, and so it launched

715
00:34:49,400 --> 00:34:52,680
Speaker 1: the careers of so many people of color, like and

716
00:34:52,800 --> 00:34:55,719
Speaker 1: it was so powerful. I'm glad that they I wasn't sure.

717
00:34:55,760 --> 00:34:57,440
Speaker 1: I thought they were gonna come out like in costume.

718
00:34:57,560 --> 00:35:01,600
Speaker 1: I liked that they wore the sleek, the black, and

719
00:35:01,760 --> 00:35:06,080
Speaker 1: just the talent and the electricity of Leslie Odom Junior.

720
00:35:06,160 --> 00:35:10,160
Speaker 1: Oh my days. Aaron Burr forever? Isn't he coming back

721
00:35:10,160 --> 00:35:10,959
Speaker 1: to be Aaron Burr?

722
00:35:11,719 --> 00:35:12,399
Speaker 4: Oh? Is he?

723
00:35:13,280 --> 00:35:16,960
Speaker 1: I think I've read that he's coming back in another

724
00:35:17,000 --> 00:35:23,000
Speaker 1: millennial nostalgia. Draco Malfoy himself, Tom Felton is coming back

725
00:35:23,040 --> 00:35:28,560
Speaker 1: to play Draco in the Broadway show The Curse Child,

726
00:35:29,080 --> 00:35:31,399
Speaker 1: which is weird and strange because how could it have been?

727
00:35:31,440 --> 00:35:35,040
Speaker 1: How can he be old enough, but yeah, it was.

728
00:35:35,120 --> 00:35:40,440
Speaker 1: It was a moment Audrey McDonald did not win. I

729
00:35:40,520 --> 00:35:43,400
Speaker 1: was really wanting Audrey McDonald to win her like umpteenth Tony,

730
00:35:43,480 --> 00:35:48,239
Speaker 1: but she lost to Nicole Scherzinger, which was a thing.

731
00:35:49,120 --> 00:35:52,160
Speaker 4: But yeah, that's interesting.

732
00:35:52,239 --> 00:35:54,759
Speaker 1: Maybe not so surprising that Patti Lapone did not show

733
00:35:54,760 --> 00:35:55,240
Speaker 1: her face.

734
00:35:55,680 --> 00:35:58,839
Speaker 3: Man that I was.

735
00:35:58,880 --> 00:36:02,719
Speaker 5: I was having a conversation with friends about this, and

736
00:36:02,760 --> 00:36:06,880
Speaker 5: I think I also like was listening to another podcast

737
00:36:06,880 --> 00:36:07,640
Speaker 5: and they mentioned this.

738
00:36:07,719 --> 00:36:10,520
Speaker 3: But it's like, listen, I love a diva. I love

739
00:36:10,520 --> 00:36:11,280
Speaker 3: a shady queen.

740
00:36:12,160 --> 00:36:17,400
Speaker 5: But part of successfully being a diva is that you

741
00:36:17,440 --> 00:36:20,880
Speaker 5: can't sound like a hater. Like it's funny when Mariah

742
00:36:20,880 --> 00:36:23,640
Speaker 5: says like I don't know her about j Lo, because

743
00:36:23,719 --> 00:36:26,520
Speaker 5: j Lo she's very talented, very gifted dancer.

744
00:36:26,640 --> 00:36:27,480
Speaker 3: But there are some things.

745
00:36:27,320 --> 00:36:31,160
Speaker 5: Where you're like, oh okay, especially compared to Mariah vocally,

746
00:36:32,440 --> 00:36:36,520
Speaker 5: you sound like it's so easy to sound delusional trying

747
00:36:36,520 --> 00:36:41,040
Speaker 5: to take down outro McDonald because she's just so talented,

748
00:36:41,480 --> 00:36:43,680
Speaker 5: Like it's just a thing of like you cannot shade

749
00:36:43,680 --> 00:36:46,000
Speaker 5: her in that way because you.

750
00:36:46,000 --> 00:36:46,840
Speaker 3: Sound like a liar.

751
00:36:46,920 --> 00:36:48,759
Speaker 5: Because we all have eyes and ears and we could

752
00:36:48,760 --> 00:36:50,920
Speaker 5: see how talented she is, Evie.

753
00:36:51,000 --> 00:36:52,440
Speaker 1: Did y'all cover that up, blavity?

754
00:36:52,600 --> 00:36:57,640
Speaker 6: We covered the award nominees, not the tea behind it?

755
00:36:58,239 --> 00:37:02,120
Speaker 1: No, but didn't get all that versus well, what did

756
00:37:02,200 --> 00:37:06,200
Speaker 1: y'all think of Odra? On CBS when Gail asked her,

757
00:37:06,480 --> 00:37:09,000
Speaker 1: and Gail always makes a note to say we had

758
00:37:09,000 --> 00:37:11,239
Speaker 1: this already schedule, We're not just here for the tea,

759
00:37:11,719 --> 00:37:13,640
Speaker 1: but she asked for Adra, and I did want to

760
00:37:13,680 --> 00:37:15,880
Speaker 1: that's right. I wanted to talk about this because Patty

761
00:37:15,960 --> 00:37:17,680
Speaker 1: Lapone and for those of you who lived under rock,

762
00:37:17,680 --> 00:37:20,200
Speaker 1: Patty Lapone had this article come out where she's just

763
00:37:20,280 --> 00:37:23,719
Speaker 1: like railing Audra McDonald and Keisha Lewis, who are just

764
00:37:23,719 --> 00:37:26,279
Speaker 1: Broadway icons in their own right, calling them bitches and

765
00:37:26,960 --> 00:37:29,000
Speaker 1: don't call yourself a veteran and they're not a friend

766
00:37:29,040 --> 00:37:32,000
Speaker 1: to me, and this nonsense. And Audre was asked like,

767
00:37:32,200 --> 00:37:35,440
Speaker 1: well do you respond? And she was so mature and

768
00:37:35,480 --> 00:37:38,160
Speaker 1: so poised and gave the whole like, you know, I

769
00:37:38,160 --> 00:37:41,839
Speaker 1: haven't talked to Patty in ten to eleven years, but you

770
00:37:41,880 --> 00:37:44,880
Speaker 1: know that's Patty, so let's let's move it on along,

771
00:37:44,960 --> 00:37:49,839
Speaker 1: and did not take the bait at all, which which

772
00:37:49,880 --> 00:37:53,440
Speaker 1: I think we like, appreciate that, but it's not the

773
00:37:53,480 --> 00:37:56,240
Speaker 1: first time where we have had we as black women,

774
00:37:56,760 --> 00:37:59,799
Speaker 1: have had to take that high road and not fight

775
00:37:59,800 --> 00:38:04,200
Speaker 1: fight with fire. And the fact that more recently we

776
00:38:04,200 --> 00:38:07,560
Speaker 1: got to talk about Coco golf because French Open winner.

777
00:38:08,719 --> 00:38:11,200
Speaker 1: Don't ask me nothing about tennis, but I love black

778
00:38:11,200 --> 00:38:16,400
Speaker 1: women who win. I caldn't tell you a thing, but

779
00:38:16,520 --> 00:38:18,480
Speaker 1: I can tell you what a winner is, and that's

780
00:38:18,480 --> 00:38:21,400
Speaker 1: Cocoa Golf. But she won the French Open. She's like,

781
00:38:21,440 --> 00:38:22,920
Speaker 1: what eighteen nineteen.

782
00:38:23,320 --> 00:38:24,719
Speaker 4: Yeah, she's a.

783
00:38:24,640 --> 00:38:27,320
Speaker 3: Baby, and she beat a white girl.

784
00:38:27,520 --> 00:38:28,960
Speaker 1: Maybe not white. I don't know where she's from, but

785
00:38:29,000 --> 00:38:31,160
Speaker 1: she looked white. Beat a white girl. White girl comes

786
00:38:31,160 --> 00:38:34,479
Speaker 1: out in the press and says, you know, she only

787
00:38:34,480 --> 00:38:36,279
Speaker 1: won because I was bad that day or I wasn't

788
00:38:36,320 --> 00:38:39,000
Speaker 1: playing well. And then Coco was interviewed by Robin Roberts

789
00:38:39,000 --> 00:38:42,840
Speaker 1: and she's like, also like gonna give grace to the

790
00:38:42,880 --> 00:38:44,759
Speaker 1: woman who spoke out and saying like, oh, I'm sure

791
00:38:44,760 --> 00:38:46,960
Speaker 1: it was the moment. She was also very poised and

792
00:38:47,040 --> 00:38:51,600
Speaker 1: mature and like, you know, careful about her response. And

793
00:38:52,200 --> 00:38:56,160
Speaker 1: I wanted to get y'all's take on that trend or

794
00:38:56,200 --> 00:38:59,040
Speaker 1: not the trend, but like the frequency with which it

795
00:38:59,120 --> 00:39:01,640
Speaker 1: feels like we are having to rise above and take

796
00:39:01,640 --> 00:39:04,840
Speaker 1: that Michelle Obama high road when people come for our talent.

797
00:39:07,160 --> 00:39:09,960
Speaker 6: I mean, also, Coco is twenty one.

798
00:39:10,400 --> 00:39:14,239
Speaker 1: I oh, she's twenty one. Okay, my bad, Coco, get

799
00:39:14,280 --> 00:39:14,800
Speaker 1: you a drink?

800
00:39:15,600 --> 00:39:20,520
Speaker 6: Yeah, gets you a drink, but I don't. It's my

801
00:39:20,719 --> 00:39:21,640
Speaker 6: pov not.

802
00:39:21,960 --> 00:39:24,600
Speaker 2: It's just it's unfortunate, like we always have to do

803
00:39:24,640 --> 00:39:28,800
Speaker 2: it right all the time. I mean, coming from it's starting.

804
00:39:28,840 --> 00:39:32,400
Speaker 2: I mean, this didn't start, but Michelle Obama, who was

805
00:39:32,640 --> 00:39:36,720
Speaker 2: the first lady who you know, was in the statue

806
00:39:36,760 --> 00:39:39,600
Speaker 2: that she was, was having to do that and within

807
00:39:39,680 --> 00:39:44,040
Speaker 2: her platform. And it's not a surprise that Coco has

808
00:39:44,120 --> 00:39:47,880
Speaker 2: to do that, especially, you know with all of her accolades.

809
00:39:47,920 --> 00:39:50,399
Speaker 2: I mean, Serena if we're talking about, and the same

810
00:39:50,480 --> 00:39:54,480
Speaker 2: thing Arna Williams has to do that constantly, right, So

811
00:39:55,200 --> 00:39:56,839
Speaker 2: it's just it's unfortunate.

812
00:39:57,840 --> 00:39:59,680
Speaker 6: It's just unfortunate that.

813
00:39:59,280 --> 00:40:03,239
Speaker 2: That has not progressed as much as it should have

814
00:40:04,360 --> 00:40:04,960
Speaker 2: over time.

815
00:40:06,360 --> 00:40:11,160
Speaker 4: Absolutely, and honestly, just like the exhaustion and the weightiness

816
00:40:11,200 --> 00:40:15,520
Speaker 4: of having to be the voice of morality, to be

817
00:40:15,560 --> 00:40:19,080
Speaker 4: the voice of maturity, like even thinking of DOCI maybe

818
00:40:19,120 --> 00:40:21,280
Speaker 4: I'm just we're just finished speaking about it. But Doughchi

819
00:40:21,360 --> 00:40:24,839
Speaker 4: bringing it up about Trump and what was going on

820
00:40:25,400 --> 00:40:26,640
Speaker 4: in LA with the protest.

821
00:40:26,719 --> 00:40:28,359
Speaker 1: Oh no, sure that because I hardly had a chance

822
00:40:28,400 --> 00:40:29,439
Speaker 1: to listen. What'd she say?

823
00:40:30,520 --> 00:40:32,840
Speaker 4: Okay? So she was just very much like she was

824
00:40:32,880 --> 00:40:36,920
Speaker 4: accepting her reward as best female hip hop artists, you know,

825
00:40:37,080 --> 00:40:39,359
Speaker 4: being and should and she's I just want to take

826
00:40:39,360 --> 00:40:43,480
Speaker 4: a period swap princess love her. But she was like,

827
00:40:43,520 --> 00:40:45,440
Speaker 4: I want to take a moment to acknowledge what's happening

828
00:40:45,440 --> 00:40:49,640
Speaker 4: outside this building quote outside this building, which I love

829
00:40:49,719 --> 00:40:52,680
Speaker 4: that really bringing that kind of proximity, bringing it like

830
00:40:52,719 --> 00:40:55,080
Speaker 4: that kind of reality to what's going on here. It's

831
00:40:55,120 --> 00:40:57,200
Speaker 4: not just oh, a couple of states over, a couple

832
00:40:57,239 --> 00:41:00,800
Speaker 4: of towns over, it's outside this and no one is

833
00:41:00,840 --> 00:41:02,960
Speaker 4: speaking about it. I mean, Snoop Dogg went up on stage,

834
00:41:03,200 --> 00:41:04,920
Speaker 4: didn't say anything about it. Mind you. This man's the

835
00:41:04,920 --> 00:41:08,239
Speaker 4: one who you know, was he singing for Trump or yeah?

836
00:41:08,800 --> 00:41:10,760
Speaker 1: Anybody call him out for that either. I was waiting

837
00:41:10,760 --> 00:41:12,360
Speaker 1: for Kevin to get him in the monologue.

838
00:41:12,360 --> 00:41:15,760
Speaker 4: I killed him out his pro semity to Martha Stewart's

839
00:41:15,760 --> 00:41:17,960
Speaker 4: what keeps, it's what keeps him safe. But that's that's

840
00:41:17,960 --> 00:41:18,880
Speaker 4: another conversation.

841
00:41:19,120 --> 00:41:19,560
Speaker 1: Interesting.

842
00:41:22,640 --> 00:41:25,880
Speaker 4: But I really it's not lost on me that so

843
00:41:25,960 --> 00:41:29,080
Speaker 4: often black women have to carry the weight of that

844
00:41:29,480 --> 00:41:33,000
Speaker 4: of being the one that goes high when everyone else

845
00:41:33,040 --> 00:41:36,000
Speaker 4: goes low. Of even looking at Simone Biles and my gosh,

846
00:41:36,000 --> 00:41:39,320
Speaker 4: just had like a Twitter feud with what was her name?

847
00:41:39,560 --> 00:41:42,600
Speaker 4: She is a Is she a swimmer or track star?

848
00:41:42,719 --> 00:41:44,960
Speaker 4: One of those two? Give me one moment. I'm trying

849
00:41:44,920 --> 00:41:46,319
Speaker 4: to remember exactly what her name was, but she just

850
00:41:46,360 --> 00:41:51,719
Speaker 4: had a Twitter situation, is it is it rise? Thank you? Yes,

851
00:41:51,880 --> 00:41:56,200
Speaker 4: Riley Gaines, where Riley was essentially making some transphobic remarks

852
00:41:56,600 --> 00:42:01,680
Speaker 4: and and Simone pushed back on that, and she's and

853
00:42:01,760 --> 00:42:05,040
Speaker 4: now she is the one who's being like spoken against

854
00:42:05,080 --> 00:42:07,640
Speaker 4: and talked down upon because she dared to speak up

855
00:42:07,680 --> 00:42:11,160
Speaker 4: about it, whereas usually, you know, she might have you know,

856
00:42:11,200 --> 00:42:13,400
Speaker 4: she would have been expected to stay quiet. Hey, this

857
00:42:13,440 --> 00:42:15,839
Speaker 4: is a your sport, Hey, like mind true business, Hey,

858
00:42:15,880 --> 00:42:18,160
Speaker 4: all this kind of stuff. But it's like, no, I'm

859
00:42:18,160 --> 00:42:21,320
Speaker 4: going to speak for the people who are being spoken

860
00:42:21,360 --> 00:42:23,799
Speaker 4: against in this way, where that Riley Gaines was, I

861
00:42:23,960 --> 00:42:28,000
Speaker 4: just yeah, it's really bothered since me, and it really

862
00:42:28,040 --> 00:42:31,600
Speaker 4: weighs on me, especially women in sports. That that especially

863
00:42:31,640 --> 00:42:34,560
Speaker 4: bothers me because you're already it's such a mental situation

864
00:42:34,600 --> 00:42:36,440
Speaker 4: of having to prepare yourself to play your sport, right,

865
00:42:36,719 --> 00:42:39,400
Speaker 4: you have to physically be prepared, but that mental preparation

866
00:42:39,520 --> 00:42:43,000
Speaker 4: as well, and then knowing that very few are not

867
00:42:43,120 --> 00:42:44,960
Speaker 4: very few, that's not very true, but so many are

868
00:42:45,040 --> 00:42:48,600
Speaker 4: ready to just jump against you, watching every move, being

869
00:42:48,760 --> 00:42:50,840
Speaker 4: very careful about you know, oh she said this, was

870
00:42:50,880 --> 00:42:52,680
Speaker 4: that a micro question against so and so? Is she

871
00:42:52,680 --> 00:42:54,960
Speaker 4: being a passive aggressive against so and so ready to

872
00:42:54,960 --> 00:42:58,080
Speaker 4: piece you apart? I mean, what on earth?

873
00:42:58,440 --> 00:43:00,279
Speaker 1: Can I flip it for a sec? Because you know,

874
00:43:00,320 --> 00:43:03,640
Speaker 1: my reaction was the woman who talked about who said

875
00:43:03,640 --> 00:43:06,799
Speaker 1: whatever Coco Gout's opponent who came out with that, who

876
00:43:06,880 --> 00:43:10,520
Speaker 1: was like they had these terrible post game interviews. I

877
00:43:11,239 --> 00:43:13,480
Speaker 1: who on their worst day wants to be put in

878
00:43:13,480 --> 00:43:16,240
Speaker 1: front of cameras and microphones and told to speak nice?

879
00:43:16,960 --> 00:43:20,960
Speaker 1: Like I almost my heart. I felt myself wanting to

880
00:43:21,000 --> 00:43:23,960
Speaker 1: defend the woman who was mouthing off about Coco a

881
00:43:24,000 --> 00:43:26,080
Speaker 1: little bit because I'm like, we also don't get to

882
00:43:26,120 --> 00:43:30,120
Speaker 1: be angry, and I know that she's or I don't know,

883
00:43:30,160 --> 00:43:31,719
Speaker 1: but I think she's not a woman of color, But

884
00:43:31,800 --> 00:43:35,840
Speaker 1: like I think women in general, like, why can't we

885
00:43:35,960 --> 00:43:38,960
Speaker 1: have a strong emotional reaction. We just saw these two

886
00:43:38,960 --> 00:43:43,840
Speaker 1: baby baby billionaires on you know, Twitter, like bickering and

887
00:43:43,880 --> 00:43:47,120
Speaker 1: squabbling and like that somehow is fine, but like women

888
00:43:47,239 --> 00:43:49,000
Speaker 1: like we don't really get to be angry and show

889
00:43:49,000 --> 00:43:53,319
Speaker 1: that kind of emotion. And I, strangely enough, I appreciated

890
00:43:53,320 --> 00:43:57,200
Speaker 1: Coco for not not because I thought it was something

891
00:43:57,239 --> 00:43:59,440
Speaker 1: that she owed anyone to like not be angry at

892
00:43:59,480 --> 00:44:02,040
Speaker 1: those were more, but because she gave the woman grace

893
00:44:02,080 --> 00:44:04,880
Speaker 1: to have an emotional reaction. And I know Coco herself,

894
00:44:05,320 --> 00:44:07,960
Speaker 1: we've all said stuff like that about someone that we

895
00:44:08,040 --> 00:44:11,200
Speaker 1: are going up against, like like if I ever see

896
00:44:11,280 --> 00:44:18,600
Speaker 1: Kira my my mathematical like Frenemie my my nemesis from

897
00:44:18,680 --> 00:44:21,799
Speaker 1: twelfth grade ap calc, Like if I ever see what's

898
00:44:21,840 --> 00:44:24,279
Speaker 1: on site, because I should have gotten the highest grade

899
00:44:24,280 --> 00:44:27,920
Speaker 1: in the class like that kind of like competition. I

900
00:44:27,960 --> 00:44:30,399
Speaker 1: mean I think that and you see it in sports too,

901
00:44:30,440 --> 00:44:34,360
Speaker 1: with like Caitlin Clark, Angel Reese, and I just feel like,

902
00:44:35,080 --> 00:44:37,440
Speaker 1: can we just have strong emotions and be in like

903
00:44:37,520 --> 00:44:40,120
Speaker 1: fight and have that because let's not play that it

904
00:44:40,120 --> 00:44:44,480
Speaker 1: doesn't take that kind of grit and self like confidence

905
00:44:44,640 --> 00:44:49,520
Speaker 1: and you know, and determination and badassery to get to

906
00:44:49,560 --> 00:44:52,319
Speaker 1: where they are and so wow, she got upset. She

907
00:44:52,440 --> 00:44:55,240
Speaker 1: said something that was a little unfair and like yeah,

908
00:44:55,239 --> 00:44:57,799
Speaker 1: and keep it moving, like we're humans in that way,

909
00:44:57,880 --> 00:45:00,480
Speaker 1: but we don't get to be Yeah.

910
00:45:00,560 --> 00:45:02,399
Speaker 5: I think that's my biggest beef with the way people

911
00:45:02,440 --> 00:45:04,799
Speaker 5: talk about the WNBA. I'm so glad it's getting so

912
00:45:04,880 --> 00:45:08,160
Speaker 5: much more attention. Those women are playing some ball, but

913
00:45:08,200 --> 00:45:10,600
Speaker 5: I feel like people don't let them play ball, Like

914
00:45:10,640 --> 00:45:13,120
Speaker 5: why is a flagrant foul taking up a week of

915
00:45:13,160 --> 00:45:16,600
Speaker 5: real estate and people's brains? Draymond Green be stomping on

916
00:45:16,719 --> 00:45:19,120
Speaker 5: people's chests and people don't say boo, we're just like

917
00:45:19,320 --> 00:45:23,319
Speaker 5: lol haha, which like say me too, like wow, what

918
00:45:23,400 --> 00:45:25,680
Speaker 5: a wild boy, Like we're not like women aren't allowed

919
00:45:25,680 --> 00:45:28,920
Speaker 5: to do that. I think so much of athleticism and

920
00:45:28,960 --> 00:45:33,640
Speaker 5: sports in particular is about like talking that meant like

921
00:45:34,200 --> 00:45:38,360
Speaker 5: talking your mess, like being aggressive, like you're going to

922
00:45:38,400 --> 00:45:40,120
Speaker 5: have conflict and you're going to have to work that

923
00:45:40,200 --> 00:45:42,600
Speaker 5: conflict out. And I really think people struggle with women

924
00:45:42,680 --> 00:45:46,200
Speaker 5: doing that, and that's why the conversations around women's sports

925
00:45:46,239 --> 00:45:48,280
Speaker 5: get so weird so quickly.

926
00:45:50,239 --> 00:45:53,360
Speaker 2: I mean I think that, I mean even within the

927
00:45:53,400 --> 00:46:00,560
Speaker 2: finals right now. Halliburton is known for outlandish reactions to

928
00:46:01,320 --> 00:46:04,000
Speaker 2: you know, like his his his wins or whatever, and

929
00:46:04,960 --> 00:46:07,800
Speaker 2: a lot of that time, like people just sweep that under,

930
00:46:08,040 --> 00:46:10,919
Speaker 2: you know what I mean, and women don't really have

931
00:46:11,040 --> 00:46:15,440
Speaker 2: that ability. I think Coco responded to it beautifully. I

932
00:46:15,440 --> 00:46:18,719
Speaker 2: think she absolutely responded to it beautifully. The only thing

933
00:46:18,800 --> 00:46:20,720
Speaker 2: that I feel like is a little bit different from

934
00:46:20,840 --> 00:46:25,319
Speaker 2: the Angel Reese and Caitlyn Clark versus Coco and this

935
00:46:26,040 --> 00:46:30,440
Speaker 2: I think she was a French player, is that she

936
00:46:30,440 --> 00:46:34,400
Speaker 2: she a little bit kind of like came after Coco's

937
00:46:34,520 --> 00:46:37,480
Speaker 2: game of being like she didn't do that great or

938
00:46:37,520 --> 00:46:40,400
Speaker 2: like she didn't even play that hard, like she only

939
00:46:40,440 --> 00:46:41,760
Speaker 2: won because of.

940
00:46:42,560 --> 00:46:43,879
Speaker 6: Like I had a bad day.

941
00:46:43,920 --> 00:46:47,840
Speaker 2: And it's like you can be competitive without you know,

942
00:46:47,920 --> 00:46:54,040
Speaker 2: being a little bit shady and also undermining somebody's talent,

943
00:46:54,400 --> 00:46:56,839
Speaker 2: right somebody's work, like you could just.

944
00:46:56,840 --> 00:46:59,239
Speaker 6: Say like was it was a bad day?

945
00:47:00,200 --> 00:47:00,600
Speaker 3: Got it?

946
00:47:00,880 --> 00:47:04,879
Speaker 2: Or you know, feel emotional or anger upset about that,

947
00:47:05,280 --> 00:47:08,560
Speaker 2: but just kind of undermining somebody else's performance who does win.

948
00:47:09,080 --> 00:47:11,359
Speaker 6: I think it's a little bit I.

949
00:47:11,320 --> 00:47:13,680
Speaker 4: Agree, I agree, and I think I think, honestly, the

950
00:47:14,000 --> 00:47:16,440
Speaker 4: high road out there would have been for Steff like

951
00:47:16,480 --> 00:47:21,279
Speaker 4: a specifically she's I think she's Lucian actually, but she Yeah,

952
00:47:21,400 --> 00:47:21,799
Speaker 4: I'm going.

953
00:47:22,160 --> 00:47:22,960
Speaker 1: Where this girl's from.

954
00:47:23,040 --> 00:47:30,839
Speaker 4: None of us knows it's it's Belarus, okay. Focusing on

955
00:47:31,080 --> 00:47:33,640
Speaker 4: the fact that they were that they were having their

956
00:47:33,719 --> 00:47:37,080
Speaker 4: match in an open air on an open air court,

957
00:47:37,120 --> 00:47:39,520
Speaker 4: which is not how they had practiced. They practiced indoor

958
00:47:39,560 --> 00:47:41,920
Speaker 4: and the wind was very strong, so I would have

959
00:47:41,960 --> 00:47:43,960
Speaker 4: focused more on, like, it's different in an environment that

960
00:47:44,040 --> 00:47:46,040
Speaker 4: I'm you know, playing in. Also the fact that she

961
00:47:46,080 --> 00:47:49,880
Speaker 4: had seventy unforced errors, like that's a lot, so she

962
00:47:49,920 --> 00:47:53,040
Speaker 4: could have focused on on that side of things versus,

963
00:47:53,320 --> 00:47:56,000
Speaker 4: as you said, Evie, like kind of coming for Coco's

964
00:47:56,480 --> 00:47:58,880
Speaker 4: game one hundred percent. Just talk about the environment that

965
00:47:58,880 --> 00:48:01,239
Speaker 4: your in, talk about the other forces that had to

966
00:48:01,280 --> 00:48:03,120
Speaker 4: do with the game other than just your opponent. There's

967
00:48:03,160 --> 00:48:05,080
Speaker 4: so many factors that play in here.

968
00:48:05,400 --> 00:48:08,239
Speaker 1: And as a sports expert, especially with tennis, I know

969
00:48:08,280 --> 00:48:13,600
Speaker 1: an error is bad. I want to also give a

970
00:48:13,640 --> 00:48:18,080
Speaker 1: quick shine to this California, the sixteen year old from California.

971
00:48:18,160 --> 00:48:20,719
Speaker 1: She was stripped of her title. She had just won

972
00:48:20,760 --> 00:48:23,799
Speaker 1: the four hundred meters state title in running really fast.

973
00:48:23,840 --> 00:48:27,840
Speaker 1: I'm sure, and this is hilarious. She brought a fire

974
00:48:27,880 --> 00:48:32,000
Speaker 1: extinguisher and after she won, she extinguished her feet like

975
00:48:32,160 --> 00:48:36,360
Speaker 1: as a celebration, which I thought was hilarious, but she

976
00:48:36,560 --> 00:48:40,960
Speaker 1: was They called it unsportsmanlike conduct and stripped her of

977
00:48:41,000 --> 00:48:45,400
Speaker 1: her state title. That would piss me off, Like, but

978
00:48:45,440 --> 00:48:47,520
Speaker 1: I don't know. The part of me is like is that.

979
00:48:47,920 --> 00:48:49,719
Speaker 1: I mean it's kind of over the top, but like

980
00:48:49,840 --> 00:48:53,320
Speaker 1: kind of badass, Like it's hilarious. That generation is funny.

981
00:48:53,560 --> 00:48:57,920
Speaker 2: She the top versus like like this is another area

982
00:48:57,960 --> 00:49:01,479
Speaker 2: where it's like it's theatrical. It's a little over the top.

983
00:49:01,560 --> 00:49:05,560
Speaker 2: It's that's fine, but it's not. It's not like she's

984
00:49:05,600 --> 00:49:09,600
Speaker 2: putting any of her opponents down. It's not you know,

985
00:49:09,760 --> 00:49:14,360
Speaker 2: being delicious or saying anything bad. It's basically like tooting

986
00:49:14,400 --> 00:49:18,000
Speaker 2: her own horn, which is what you do as an athlete.

987
00:49:18,160 --> 00:49:21,720
Speaker 2: So I think that was completely uncalled for in my opinion,

988
00:49:21,800 --> 00:49:24,359
Speaker 2: unless it was a safety thing, right, if it was

989
00:49:24,400 --> 00:49:28,080
Speaker 2: like indoors and it was like, you know, this is

990
00:49:28,120 --> 00:49:28,680
Speaker 2: the same.

991
00:49:28,600 --> 00:49:33,440
Speaker 1: Outside, I'm like, no press. Her and her dad at

992
00:49:33,480 --> 00:49:35,799
Speaker 1: the press conference with the fire extinguisher. Next to her.

993
00:49:35,880 --> 00:49:40,440
Speaker 1: I'm just like, she's sixteen. She went another race, but

994
00:49:40,480 --> 00:49:43,440
Speaker 1: it's just that visual. Oh but she's crying, you know,

995
00:49:43,560 --> 00:49:44,360
Speaker 1: she works so hard.

996
00:49:45,320 --> 00:49:46,320
Speaker 6: Yeah, it was.

997
00:49:46,680 --> 00:49:49,400
Speaker 4: She didn't do it near anyone. Her dad handed her

998
00:49:49,440 --> 00:49:52,080
Speaker 4: the fire extinguisher to do it. What had me annoyed

999
00:49:52,120 --> 00:49:55,640
Speaker 4: actually was when the when the regulators or whatever they're called,

1000
00:49:56,760 --> 00:50:00,120
Speaker 4: were holding her by the arm and like walking her away.

1001
00:50:00,360 --> 00:50:02,400
Speaker 4: That's what got me. You didn't have to put your

1002
00:50:02,440 --> 00:50:05,319
Speaker 4: hands on this child. And that's the point at which

1003
00:50:05,360 --> 00:50:07,200
Speaker 4: the dad jumped over the gate and was like, I'm

1004
00:50:07,200 --> 00:50:09,719
Speaker 4: not a coach anymore, I'm a dad, which I point.

1005
00:50:09,840 --> 00:50:13,040
Speaker 4: I was like, yes, so oh did he okay? Right

1006
00:50:13,719 --> 00:50:16,840
Speaker 4: to touch her to lead her away. She wasn't fighting

1007
00:50:16,880 --> 00:50:19,640
Speaker 4: against them, She just turned because they got her attention,

1008
00:50:20,239 --> 00:50:22,640
Speaker 4: turned to them, put the fire stot her down to

1009
00:50:22,680 --> 00:50:24,480
Speaker 4: speak with them. That's when they grabbed her by the

1010
00:50:24,600 --> 00:50:26,960
Speaker 4: arm at the elbow, at which point I'm like, this

1011
00:50:27,000 --> 00:50:30,160
Speaker 4: did not need to escalate to you touching her at all.

1012
00:50:30,280 --> 00:50:32,400
Speaker 4: That is what got me upset. The rest of them

1013
00:50:32,480 --> 00:50:34,799
Speaker 4: like she's a kid, she's sixteen years old. You know,

1014
00:50:34,880 --> 00:50:37,160
Speaker 4: her shoes are on fire cause she's running so fat,

1015
00:50:37,200 --> 00:50:40,040
Speaker 4: Like I love that that was awesome, that was so great.

1016
00:50:40,040 --> 00:50:41,920
Speaker 4: She didn't do it in front of the other the

1017
00:50:42,239 --> 00:50:44,399
Speaker 4: other runners. She didn't do it so that they would

1018
00:50:44,400 --> 00:50:47,600
Speaker 4: be inhaling that extinct like whatever the fire extinguisher pushes out.

1019
00:50:48,239 --> 00:50:51,239
Speaker 1: Why I just watched the clip off her doing it,

1020
00:50:51,560 --> 00:50:53,200
Speaker 1: Like what are we trying to raise girls to be

1021
00:50:53,360 --> 00:50:56,520
Speaker 1: like to? It's just like we're raising these women to

1022
00:50:56,600 --> 00:51:00,759
Speaker 1: be phenoms and to be powerful, including us, and then

1023
00:51:00,840 --> 00:51:04,759
Speaker 1: the moment we acknowledge our greatness, it's like, no, not

1024
00:51:04,880 --> 00:51:07,560
Speaker 1: that way, not that way. That's too much. That's too much.

1025
00:51:07,640 --> 00:51:09,319
Speaker 1: It's a it's a fucking lose, lose. You got to

1026
00:51:09,320 --> 00:51:11,440
Speaker 1: like back yourself. And I hope she doesn't. I hope

1027
00:51:11,480 --> 00:51:12,879
Speaker 1: she doesn't let this get to her. I hope she

1028
00:51:12,920 --> 00:51:16,960
Speaker 1: continues moving ahead because it's like this is like the

1029
00:51:17,920 --> 00:51:20,359
Speaker 1: this is the collateral damage that can come when you

1030
00:51:20,440 --> 00:51:24,319
Speaker 1: are black and brilliant. Uh, in this in this time

1031
00:51:24,360 --> 00:51:26,480
Speaker 1: that we're in And I just love her dad for

1032
00:51:26,840 --> 00:51:30,080
Speaker 1: setting her up like that. Maybe they should let maybe

1033
00:51:30,080 --> 00:51:32,920
Speaker 1: they should do it every race. I don't know. Plus

1034
00:51:32,920 --> 00:51:35,200
Speaker 1: at safety, like it's nice to have an extra one.

1035
00:51:35,520 --> 00:51:36,200
Speaker 1: What if.

1036
00:51:38,160 --> 00:51:38,840
Speaker 3: Like you never know?

1037
00:51:40,520 --> 00:51:41,320
Speaker 1: All right?

1038
00:51:41,680 --> 00:51:41,839
Speaker 5: Uh?

1039
00:51:42,400 --> 00:51:44,480
Speaker 1: I wonder you know I wonder if everyone who's like

1040
00:51:44,800 --> 00:51:49,200
Speaker 1: criticizing Cocoa and you know, this young teenager from californ

1041
00:51:49,239 --> 00:51:50,560
Speaker 1: what was her name again, I forget what her name

1042
00:51:50,560 --> 00:51:53,279
Speaker 1: is anyway, and like criticizing you know, Doc at the

1043
00:51:53,320 --> 00:51:55,960
Speaker 1: met When dochi that viral clip of her yelling at

1044
00:51:56,000 --> 00:51:58,960
Speaker 1: her team while she's like in a in a did

1045
00:51:59,080 --> 00:52:02,319
Speaker 1: y'all see that clip like in a wardrobe, like in

1046
00:52:02,400 --> 00:52:06,600
Speaker 1: an umbrella, the coon yelling at and yelling at her stuff.

1047
00:52:06,600 --> 00:52:09,040
Speaker 1: But anyway, like, I wonder if everyone criticizing black women

1048
00:52:09,080 --> 00:52:12,000
Speaker 1: who are really successful at how we're reacting. I want

1049
00:52:12,000 --> 00:52:14,920
Speaker 1: to see those tweets next to the tweets and the

1050
00:52:14,960 --> 00:52:18,440
Speaker 1: comments they've left about poor a Maries n PR tiny

1051
00:52:18,480 --> 00:52:21,600
Speaker 1: desk concert because where was the grace?

1052
00:52:22,920 --> 00:52:25,200
Speaker 3: Because isn't me?

1053
00:52:25,360 --> 00:52:28,600
Speaker 6: But I also didn't think it was that bad.

1054
00:52:29,520 --> 00:52:42,440
Speaker 7: Okay, oh okay, Alexa, I'm yeah, I just okay, here,

1055
00:52:43,040 --> 00:52:46,000
Speaker 7: this is all I'm the This is no just because listen,

1056
00:52:46,080 --> 00:52:49,160
Speaker 7: I'm very careful about giving criticism to someone who is doing.

1057
00:52:48,960 --> 00:52:51,200
Speaker 4: Something I could never do. Amen, you're not about to

1058
00:52:51,200 --> 00:52:53,480
Speaker 4: see yet a tiny desk concert. You know, I have

1059
00:52:53,600 --> 00:52:55,440
Speaker 4: no singing voice. I am more of a dancer than

1060
00:52:55,440 --> 00:52:58,200
Speaker 4: anything else. So let me just say that. What I

1061
00:52:58,280 --> 00:53:03,799
Speaker 4: will say is, oh boy, find your words. Is that

1062
00:53:04,239 --> 00:53:07,279
Speaker 4: I feel strongly that the if you're going to do

1063
00:53:07,320 --> 00:53:09,759
Speaker 4: a song as high pitched as the ones that she

1064
00:53:09,960 --> 00:53:14,239
Speaker 4: was doing, you have to be willing to adjust the arrangements.

1065
00:53:14,920 --> 00:53:18,319
Speaker 4: On that note, I think her voice has changed over

1066
00:53:18,360 --> 00:53:21,440
Speaker 4: the years very much, which is normal. I mean, look

1067
00:53:21,440 --> 00:53:24,160
Speaker 4: at Beyonce. Beyonce's voice is completely changed from when she

1068
00:53:24,280 --> 00:53:26,600
Speaker 4: was just starting out to now. It's a completely different voice.

1069
00:53:26,640 --> 00:53:30,640
Speaker 4: You can't tell me it's the same voice. And because

1070
00:53:30,680 --> 00:53:33,720
Speaker 4: of that, I think that she and the backup dancers

1071
00:53:33,719 --> 00:53:35,920
Speaker 4: and her the backup dancer, excuse me, the backup singers,

1072
00:53:35,920 --> 00:53:37,960
Speaker 4: and herself should have worked together a little bit more

1073
00:53:37,960 --> 00:53:39,800
Speaker 4: because it felt like the backup singers were really carrying

1074
00:53:39,840 --> 00:53:42,000
Speaker 4: a lot of it and that was making it sound

1075
00:53:42,080 --> 00:53:44,080
Speaker 4: very much like they were no longer in alignment where

1076
00:53:44,080 --> 00:53:46,879
Speaker 4: the song was going pitch wise, and she was going

1077
00:53:46,920 --> 00:53:49,400
Speaker 4: way too fast. I felt like if they had gone lower,

1078
00:53:49,520 --> 00:53:51,920
Speaker 4: a lower tone, like a lower pitch, and the song

1079
00:53:52,000 --> 00:53:54,279
Speaker 4: was slower, it would have been perfect for where she's

1080
00:53:54,320 --> 00:53:56,839
Speaker 4: at now in her career. She was trying to take

1081
00:53:56,880 --> 00:53:59,320
Speaker 4: it back, do like a throwback vibe and it didn't.

1082
00:53:59,560 --> 00:54:01,839
Speaker 4: I was like, oh boy, I'm gonna pause it right

1083
00:54:01,880 --> 00:54:05,680
Speaker 4: here and I continue want I've.

1084
00:54:05,560 --> 00:54:08,239
Speaker 1: Never cared for the song nor her voice in the

1085
00:54:08,320 --> 00:54:12,600
Speaker 1: song at the time, her voices her voices like I

1086
00:54:12,600 --> 00:54:15,200
Speaker 1: don't love her voice in the original song. I was

1087
00:54:15,239 --> 00:54:18,520
Speaker 1: shocked she tried to go that high. Come now, it's

1088
00:54:18,520 --> 00:54:19,719
Speaker 1: hard to sing that song in the car.

1089
00:54:21,440 --> 00:54:22,480
Speaker 6: I guess that's why.

1090
00:54:22,600 --> 00:54:25,799
Speaker 2: I also was I'm like, this is is this like

1091
00:54:25,960 --> 00:54:29,200
Speaker 2: not almost the norm for her? Sometimes?

1092
00:54:29,280 --> 00:54:31,880
Speaker 1: Yeah, I'm sure when she sang live it wasn't amazing before.

1093
00:54:33,000 --> 00:54:36,480
Speaker 2: I mean like, that's why I was like, who's it not? Well,

1094
00:54:36,719 --> 00:54:40,160
Speaker 2: we sort of expect, but I mean here, I still

1095
00:54:40,160 --> 00:54:42,960
Speaker 2: don't think all the backlash and like the lack of

1096
00:54:43,120 --> 00:54:47,279
Speaker 2: grace was warranted. I could see how people are like, no,

1097
00:54:47,360 --> 00:54:50,680
Speaker 2: it was actually that bad. But the grace that they

1098
00:54:50,680 --> 00:54:51,279
Speaker 2: didn't give the.

1099
00:54:51,440 --> 00:54:55,160
Speaker 4: Woman, I they didn't need to type all those comments out.

1100
00:54:55,760 --> 00:54:57,200
Speaker 4: You got work to do work.

1101
00:54:57,320 --> 00:55:00,880
Speaker 5: There are okay, there are artists where I'm like, I'm

1102
00:55:00,960 --> 00:55:05,080
Speaker 5: not like, we're you're not there for the vocal strength.

1103
00:55:05,239 --> 00:55:07,680
Speaker 5: Like I don't know if someone's like ooh, Jasmine Sullivan,

1104
00:55:07,800 --> 00:55:11,400
Speaker 5: I'm like, oh, we're gonna get sang down. Same with Fantasia.

1105
00:55:11,480 --> 00:55:15,000
Speaker 5: It's like, remove the wig, throw it at her. Amory

1106
00:55:15,239 --> 00:55:18,040
Speaker 5: is not someone I think, but it's like they're are bops.

1107
00:55:18,239 --> 00:55:21,200
Speaker 5: It's a jam. It's a vibe. Also shout out to

1108
00:55:21,520 --> 00:55:24,840
Speaker 5: Backyard Band. I'm like, yes, can't wait to beat my

1109
00:55:24,880 --> 00:55:29,920
Speaker 5: feet to this, et cetera. But I think I don't know,

1110
00:55:29,960 --> 00:55:32,200
Speaker 5: And like I really like Amor. I thought you did

1111
00:55:32,200 --> 00:55:33,920
Speaker 5: a great job at the BET Awards with that one.

1112
00:55:33,960 --> 00:55:35,319
Speaker 5: I six a park thing.

1113
00:55:35,520 --> 00:55:38,839
Speaker 3: It was just, oh, that was fun.

1114
00:55:39,239 --> 00:55:41,680
Speaker 5: I think I don't know. It's just like, let's manage

1115
00:55:41,680 --> 00:55:46,040
Speaker 5: our expectations. That being said. And I may regret this

1116
00:55:46,120 --> 00:55:47,920
Speaker 5: because it comes for us all, but it's a thing

1117
00:55:47,920 --> 00:55:54,400
Speaker 5: of like gotta get these jokes off. You gotta sometimes

1118
00:55:54,440 --> 00:55:56,200
Speaker 5: sometimes you just gotta get the jokes off.

1119
00:55:57,680 --> 00:55:59,839
Speaker 4: My big two though, is I think that she had

1120
00:55:59,880 --> 00:56:01,799
Speaker 4: to it. I don't think you really told her what

1121
00:56:01,880 --> 00:56:04,319
Speaker 4: the vibe of Tiny Dusk was, do you know, sayd

1122
00:56:04,320 --> 00:56:05,920
Speaker 4: what I mean like, if you a lot of people

1123
00:56:05,920 --> 00:56:09,320
Speaker 4: that come to Tiny Dusk, they alter the like the

1124
00:56:10,120 --> 00:56:11,960
Speaker 4: cover of the the way if they're doing a song

1125
00:56:12,000 --> 00:56:15,680
Speaker 4: to fit the Tiny Dusk format, like the vibe for it, right,

1126
00:56:15,719 --> 00:56:18,920
Speaker 4: Like it's usually so like if you ever saw Alicia

1127
00:56:18,960 --> 00:56:22,319
Speaker 4: Kueses or if you saw durand Duranda, this is his name,

1128
00:56:22,400 --> 00:56:25,720
Speaker 4: Duran Bernard. Yeah, he was dressed up as the proud

1129
00:56:25,719 --> 00:56:29,799
Speaker 4: family uncle, you know, like when he did his but

1130
00:56:29,920 --> 00:56:32,400
Speaker 4: this sound the way that he was doing it, like

1131
00:56:32,560 --> 00:56:35,600
Speaker 4: he completely If you listen to their original song versus

1132
00:56:35,680 --> 00:56:37,480
Speaker 4: the way it was born on Tiny Dusk, it's so

1133
00:56:37,600 --> 00:56:40,640
Speaker 4: much more. For like, in the house, we really were

1134
00:56:40,640 --> 00:56:43,040
Speaker 4: sitting around on the kitchen counter talk. We're playing this

1135
00:56:43,160 --> 00:56:45,680
Speaker 4: song out. You know, it's a really at home vibe.

1136
00:56:45,840 --> 00:56:48,160
Speaker 4: I think she took on very much. We're on stage,

1137
00:56:48,400 --> 00:56:50,680
Speaker 4: but it's just a small stage, and it's like, no,

1138
00:56:50,760 --> 00:56:52,880
Speaker 4: this is not that vibe. I think that's really just

1139
00:56:52,880 --> 00:56:54,479
Speaker 4: what it was. I'm not taking away from our talent.

1140
00:56:54,520 --> 00:56:56,440
Speaker 4: I just think it was a matter of the environment

1141
00:56:56,480 --> 00:56:58,320
Speaker 4: we were in. Performing in this way.

1142
00:56:58,239 --> 00:57:01,200
Speaker 1: Looks hella awkward to perform there. If you're like someone

1143
00:57:01,280 --> 00:57:05,000
Speaker 1: who has anxiety about clutter, that shit is clutter. It

1144
00:57:05,040 --> 00:57:07,200
Speaker 1: shows nothing but nick Knacks. It looks like my aunt

1145
00:57:07,200 --> 00:57:10,439
Speaker 1: Brenda's living room. They're like, it is just like nick

1146
00:57:10,480 --> 00:57:12,799
Speaker 1: Knacks and Chochke's all over the wall. And then it's

1147
00:57:12,800 --> 00:57:14,200
Speaker 1: like perform be an artist.

1148
00:57:15,000 --> 00:57:16,800
Speaker 6: Yeah, is it a like desk?

1149
00:57:16,960 --> 00:57:20,320
Speaker 5: Like Okay, I used to wear and I have been

1150
00:57:20,320 --> 00:57:23,400
Speaker 5: to several I can give the give the background.

1151
00:57:23,720 --> 00:57:25,840
Speaker 3: So it is a desk.

1152
00:57:26,000 --> 00:57:27,760
Speaker 5: But even though it's called a tiny desk, it's a

1153
00:57:27,800 --> 00:57:30,600
Speaker 5: desk that's much bigger than all the other desks that

1154
00:57:30,680 --> 00:57:35,680
Speaker 5: everyone has. It's like a couple desks put together. Is

1155
00:57:35,680 --> 00:57:38,880
Speaker 5: Bob Boylan still at the time it was Bob Boylen's desk?

1156
00:57:39,240 --> 00:57:42,080
Speaker 3: Did he he might have announced retirement? Oh gosh, I

1157
00:57:42,120 --> 00:57:43,560
Speaker 3: hope someone important.

1158
00:57:44,000 --> 00:57:46,680
Speaker 5: Yeah, he's like in pr like music correspond So it

1159
00:57:46,760 --> 00:57:49,760
Speaker 5: was like his desk, but I don't I never saw

1160
00:57:49,840 --> 00:57:52,560
Speaker 5: him actually, Like at the desk, it's mostly the performance space,

1161
00:57:53,040 --> 00:57:55,400
Speaker 5: but like when it's time for the tiny desk, like

1162
00:57:55,560 --> 00:57:57,800
Speaker 5: everyone is like crowding around.

1163
00:57:57,920 --> 00:57:59,320
Speaker 3: Some people get there early.

1164
00:57:59,520 --> 00:57:59,840
Speaker 4: I was.

1165
00:58:00,400 --> 00:58:02,280
Speaker 5: I went to the Gucci Man Tiny Desk when I

1166
00:58:02,320 --> 00:58:06,280
Speaker 5: worked there time of my life, and like I could

1167
00:58:06,280 --> 00:58:08,200
Speaker 5: always tell when the like they send an email out

1168
00:58:08,200 --> 00:58:10,520
Speaker 5: where they're like here's what's coming, but I could always

1169
00:58:10,600 --> 00:58:13,640
Speaker 5: It's funny seeing the different crowds, like with the Gucci

1170
00:58:13,680 --> 00:58:15,840
Speaker 5: Man Tiny Desk, Like it felt like every black person

1171
00:58:15,880 --> 00:58:18,280
Speaker 5: in that building was like ooh, let me like get

1172
00:58:18,320 --> 00:58:21,320
Speaker 5: my friends were going and then one time it was,

1173
00:58:22,360 --> 00:58:26,720
Speaker 5: oh my gosh, it was I am forgetting this. It

1174
00:58:26,760 --> 00:58:31,120
Speaker 5: was like it was some white man singer songwriter. And

1175
00:58:31,200 --> 00:58:31,840
Speaker 5: I saw like.

1176
00:58:32,000 --> 00:58:35,000
Speaker 3: Several of my colleagues like running over and they're like, oh.

1177
00:58:34,840 --> 00:58:36,960
Speaker 5: My gosh, it's happening. And I was like, I don't

1178
00:58:37,000 --> 00:58:40,320
Speaker 5: know who this is. The Blue Man Group has been there,

1179
00:58:40,480 --> 00:58:44,520
Speaker 5: saw them. It's just so it's like a little bit

1180
00:58:44,560 --> 00:58:46,560
Speaker 5: of everything, A little bit of everything, it really is.

1181
00:58:47,400 --> 00:58:51,160
Speaker 7: She said, why tell Why?

1182
00:58:52,800 --> 00:58:54,240
Speaker 1: Well, that sounds tell of fun. I wish I have

1183
00:58:54,320 --> 00:58:58,520
Speaker 1: perks like that. Hey, ba fam, we gonna take a

1184
00:58:58,560 --> 00:59:01,360
Speaker 1: quick break, pay some bill and we'll be right back.

1185
00:59:01,880 --> 00:59:03,920
Speaker 1: All right, ba fam, We're back. All right, y'all. We

1186
00:59:03,960 --> 00:59:06,320
Speaker 1: have to talk about the economy a little bit, mart maw.

1187
00:59:06,320 --> 00:59:10,720
Speaker 1: It's called brown ambition. Okay, Now, Miss JQ and your

1188
00:59:10,800 --> 00:59:14,080
Speaker 1: latest episode of Boxes Explaining to Me podcasts, y'all talked

1189
00:59:14,080 --> 00:59:18,120
Speaker 1: about recession indicators, and I'm a little confused. I want

1190
00:59:18,200 --> 00:59:20,720
Speaker 1: to I want to hear your take. First of all,

1191
00:59:21,080 --> 00:59:24,040
Speaker 1: is it not clear that a recession is here? I

1192
00:59:24,040 --> 00:59:27,960
Speaker 1: don't like we are struggling. This is like a bunch

1193
00:59:28,040 --> 00:59:30,440
Speaker 1: of different ways that we are just struggling. In these streets.

1194
00:59:30,800 --> 00:59:33,720
Speaker 5: I think that's like where the disconnect lies, because it's

1195
00:59:33,720 --> 00:59:36,560
Speaker 5: the one thing where it's like, no, y'all, I went

1196
00:59:36,600 --> 00:59:38,840
Speaker 5: to like I went to Trader Joe's, and you know,

1197
00:59:38,960 --> 00:59:41,560
Speaker 5: I'm like, all right, I'm gonna get like three days

1198
00:59:41,640 --> 00:59:43,720
Speaker 5: worth of stuff before I go on vacation, and it's

1199
00:59:43,760 --> 00:59:47,560
Speaker 5: like one hundred dollars. Like there is that situation. But

1200
00:59:47,800 --> 00:59:51,160
Speaker 5: when it comes to economists, they're like, no, there are

1201
00:59:51,320 --> 00:59:55,800
Speaker 5: official boxes to be checked in order to say we

1202
00:59:55,880 --> 00:59:57,800
Speaker 5: have a recession. So in order it for it to

1203
00:59:57,840 --> 01:00:00,520
Speaker 5: be like an official recession where they're talking about it

1204
01:00:00,560 --> 01:00:04,800
Speaker 5: on the news, et cetera, the economy has to contract

1205
01:00:04,880 --> 01:00:08,200
Speaker 5: for like two quarters straight. We're in one quarter of contraction.

1206
01:00:08,840 --> 01:00:11,840
Speaker 5: If in this next quarter, then like it's official.

1207
01:00:11,880 --> 01:00:15,280
Speaker 1: We're end in July, right, did not know September? No GM,

1208
01:00:15,400 --> 01:00:16,560
Speaker 1: what now one.

1209
01:00:17,400 --> 01:00:21,000
Speaker 6: Q two ends in July, thank you Engen.

1210
01:00:21,480 --> 01:00:24,959
Speaker 5: Yeah, so that's gonna be. That's gonna be the tail.

1211
01:00:25,320 --> 01:00:29,280
Speaker 5: That being said, the vibes are bad. It's hard if

1212
01:00:29,280 --> 01:00:31,600
Speaker 5: people are out here struggling, like, and I think that's

1213
01:00:31,600 --> 01:00:34,680
Speaker 5: where the disconnect is. And I think both politicians and

1214
01:00:34,840 --> 01:00:38,680
Speaker 5: media like we have to be like okay, yeah, like yeah,

1215
01:00:38,840 --> 01:00:42,919
Speaker 5: technically no, technically the economy is good, but like one,

1216
01:00:42,960 --> 01:00:44,800
Speaker 5: who is it good for? The people at the top

1217
01:00:44,840 --> 01:00:46,400
Speaker 5: are the ones who are eating the ones are the

1218
01:00:46,400 --> 01:00:50,400
Speaker 5: bottom not getting fed as much. And also like realizing

1219
01:00:50,480 --> 01:00:55,560
Speaker 5: like no, like technically the economy may be healthy, but

1220
01:00:55,720 --> 01:00:58,880
Speaker 5: on a personal finance situation, things are not healthy. And

1221
01:00:58,920 --> 01:01:02,360
Speaker 5: I wish that like we all took that more seriously

1222
01:01:02,840 --> 01:01:05,640
Speaker 5: and that that's kind of like the thing we looked

1223
01:01:05,640 --> 01:01:09,960
Speaker 5: at to judge the health of like what agree.

1224
01:01:10,040 --> 01:01:13,240
Speaker 2: And also I think like as a as like media

1225
01:01:13,280 --> 01:01:16,360
Speaker 2: brands and we're all within media, we have a service,

1226
01:01:16,400 --> 01:01:18,640
Speaker 2: like it doesn't even at this point, it doesn't even.

1227
01:01:18,440 --> 01:01:21,560
Speaker 6: Matter like if it is or if it's not or blah.

1228
01:01:21,360 --> 01:01:25,640
Speaker 2: Blah blah, Like we have a you know, service to

1229
01:01:25,920 --> 01:01:29,200
Speaker 2: our community, especially like what blavity we service like black

1230
01:01:29,240 --> 01:01:34,040
Speaker 2: millennials gen zs. So our audience is like this is

1231
01:01:34,080 --> 01:01:36,440
Speaker 2: how you prepare, Like this is what you need to

1232
01:01:36,480 --> 01:01:39,680
Speaker 2: do right more on the personal level versus just like

1233
01:01:40,040 --> 01:01:42,560
Speaker 2: waiting for these boxes to be checked because I care

1234
01:01:42,720 --> 01:01:45,680
Speaker 2: see you, the box will be checked after we've already

1235
01:01:45,680 --> 01:01:46,160
Speaker 2: been in it.

1236
01:01:46,360 --> 01:01:48,520
Speaker 3: So like at this point, you.

1237
01:01:48,640 --> 01:01:51,360
Speaker 2: Just it is what it is, right, we have to

1238
01:01:51,440 --> 01:01:53,920
Speaker 2: have more discussion on like the personal level and like

1239
01:01:54,320 --> 01:01:59,200
Speaker 2: how people are impacted versus has a box been checked yet?

1240
01:01:59,240 --> 01:02:00,640
Speaker 6: Okay, now let me figure it out.

1241
01:02:00,760 --> 01:02:03,840
Speaker 1: What were some of the recession indicators that y'all covered JQ.

1242
01:02:04,520 --> 01:02:05,840
Speaker 1: They some of them were kind of funky.

1243
01:02:06,400 --> 01:02:11,520
Speaker 5: Yeah, so there's the underwear one where Alan Greenspan was like, honestly,

1244
01:02:12,240 --> 01:02:15,240
Speaker 5: men buy less underwear. That may be it because it's

1245
01:02:15,280 --> 01:02:17,160
Speaker 5: one of those things that people see the least of.

1246
01:02:17,920 --> 01:02:20,680
Speaker 1: So like, my husband just bought new boxers though.

1247
01:02:21,440 --> 01:02:23,600
Speaker 3: Okay, so maybe y'all are doing.

1248
01:02:23,800 --> 01:02:26,640
Speaker 1: I told him the plumber's crack had to go. I said,

1249
01:02:26,680 --> 01:02:31,200
Speaker 1: forget the recession. The plumber crack got to get whole

1250
01:02:31,240 --> 01:02:33,800
Speaker 1: neighborhood be seeing your crack. It's not okay while you're

1251
01:02:33,800 --> 01:02:34,760
Speaker 1: watching the car.

1252
01:02:39,040 --> 01:02:39,680
Speaker 3: Is too much.

1253
01:02:40,840 --> 01:02:43,240
Speaker 1: It's don't very Evie, take notes. This is how you

1254
01:02:43,280 --> 01:02:49,400
Speaker 1: talk about your husband just eight years down the line. Okay,

1255
01:02:49,440 --> 01:02:50,520
Speaker 1: we're buying less undies.

1256
01:02:50,520 --> 01:02:51,240
Speaker 3: What else? Yeah.

1257
01:02:51,280 --> 01:02:53,800
Speaker 5: One person called in. He was like, I work out

1258
01:02:53,840 --> 01:02:56,200
Speaker 5: a bar. People are buying more drinks and cash.

1259
01:02:56,280 --> 01:02:56,880
Speaker 3: Is that a thing?

1260
01:02:57,000 --> 01:02:59,160
Speaker 5: And you know it could be it could be people

1261
01:02:59,160 --> 01:03:01,400
Speaker 5: being like I don't want credit card fees, or you know,

1262
01:03:01,600 --> 01:03:04,040
Speaker 5: maybe some people just have a little more cash now,

1263
01:03:04,520 --> 01:03:07,080
Speaker 5: Like that's one the one we really get gen Z thing.

1264
01:03:07,960 --> 01:03:08,280
Speaker 4: You will.

1265
01:03:08,360 --> 01:03:11,000
Speaker 1: Yeah, But there's also atm in a minute.

1266
01:03:10,640 --> 01:03:13,440
Speaker 5: There's also like a there's a whole thing gen Z

1267
01:03:13,800 --> 01:03:17,560
Speaker 5: interacts at bars differently than like older generations do. Like

1268
01:03:17,600 --> 01:03:20,280
Speaker 5: there was this whole like piece in the New York

1269
01:03:20,280 --> 01:03:23,160
Speaker 5: Times about how like gen Z doesn't keep tabs open.

1270
01:03:23,200 --> 01:03:25,160
Speaker 5: They close out the tab each time and then keep

1271
01:03:25,240 --> 01:03:26,760
Speaker 5: going back to the bar each time.

1272
01:03:27,680 --> 01:03:28,040
Speaker 3: Oh.

1273
01:03:28,120 --> 01:03:29,960
Speaker 1: Interesting, in my.

1274
01:03:29,960 --> 01:03:32,400
Speaker 2: Younger days, that would have saved me a lot of

1275
01:03:32,480 --> 01:03:33,160
Speaker 2: debit cards.

1276
01:03:34,160 --> 01:03:35,600
Speaker 3: You just leave it behind.

1277
01:03:36,160 --> 01:03:42,280
Speaker 1: I'm like, yeah, I went to London without a wallet,

1278
01:03:42,400 --> 01:03:45,760
Speaker 1: not a single credit card, not a license in my possession.

1279
01:03:46,200 --> 01:03:48,640
Speaker 1: I want my passport and nothing else. And all my

1280
01:03:48,720 --> 01:03:50,960
Speaker 1: friends were like, what are you gonna do?

1281
01:03:51,360 --> 01:03:51,720
Speaker 3: Nothing?

1282
01:03:52,080 --> 01:03:53,760
Speaker 1: Everywhere you went it was like top.

1283
01:03:53,640 --> 01:03:57,600
Speaker 4: Here, tab here exactly.

1284
01:03:57,680 --> 01:03:59,600
Speaker 1: I think it's ghetto that we still have to use

1285
01:03:59,600 --> 01:04:02,680
Speaker 1: a physical passport, like come on now, and I don't

1286
01:04:02,720 --> 01:04:05,040
Speaker 1: even take it out at the airport. It's like come use,

1287
01:04:05,120 --> 01:04:07,080
Speaker 1: I have Global entry and it's just like come stand

1288
01:04:07,080 --> 01:04:08,640
Speaker 1: in front of the screen. We're gonna take your picture,

1289
01:04:09,160 --> 01:04:12,600
Speaker 1: and like, come on, is it is the paper company?

1290
01:04:12,640 --> 01:04:14,360
Speaker 1: Is it in bed with like the government, Like, what's

1291
01:04:14,360 --> 01:04:17,720
Speaker 1: happening because we gotta getrid of these passports? Okay, sorry JQ.

1292
01:04:17,840 --> 01:04:18,240
Speaker 1: What else?

1293
01:04:18,480 --> 01:04:21,840
Speaker 5: Oh, press on nails could be people are getting you know,

1294
01:04:21,960 --> 01:04:26,280
Speaker 5: fewer manicures they're doing at home stuff, So increase and

1295
01:04:26,320 --> 01:04:29,720
Speaker 5: press on nail. Yeah, increase and press on nails. Returning

1296
01:04:29,720 --> 01:04:31,760
Speaker 5: to your natural hair color. People may not want to

1297
01:04:31,800 --> 01:04:36,040
Speaker 5: go to the salon. Someone was like statement necklaces that

1298
01:04:36,120 --> 01:04:38,880
Speaker 5: one less, so like sorry, like, it's just well.

1299
01:04:38,760 --> 01:04:42,400
Speaker 1: It's not conn So no, I thought we were done

1300
01:04:42,400 --> 01:04:42,760
Speaker 1: with those.

1301
01:04:42,960 --> 01:04:45,360
Speaker 3: No, and a peplum. Oh if peplum comes back, I

1302
01:04:45,480 --> 01:04:47,360
Speaker 3: may be like, where are we going from?

1303
01:04:47,360 --> 01:04:48,960
Speaker 1: It's time to go to the clere. But peplum comes

1304
01:04:48,960 --> 01:04:51,240
Speaker 1: back with a statement. Next we'kin a pizto platform.

1305
01:04:51,960 --> 01:04:55,520
Speaker 5: Back to the like office wear at the club. We

1306
01:04:55,640 --> 01:04:58,160
Speaker 5: really went from day to night like constantly.

1307
01:04:58,320 --> 01:05:00,040
Speaker 6: I truly did like.

1308
01:05:00,400 --> 01:05:02,000
Speaker 4: And didn't change me out.

1309
01:05:02,120 --> 01:05:05,160
Speaker 5: No, it would be me a blazer and owl necklace

1310
01:05:05,200 --> 01:05:09,840
Speaker 5: and like my laptop in the club, living my best life.

1311
01:05:10,840 --> 01:05:14,160
Speaker 5: Apparently people are tipping less at the strip club, which

1312
01:05:14,160 --> 01:05:14,919
Speaker 5: to me is just bad.

1313
01:05:14,960 --> 01:05:17,200
Speaker 3: If you can't, If you can't, it's got to be

1314
01:05:17,240 --> 01:05:23,680
Speaker 3: a strip club. Study listen, they're the first to see.

1315
01:05:23,960 --> 01:05:28,120
Speaker 5: Also, like in a decrease in eating out delivery, that's

1316
01:05:28,160 --> 01:05:28,480
Speaker 5: been me.

1317
01:05:29,920 --> 01:05:32,360
Speaker 3: Yeah, that's me trying to cook at home.

1318
01:05:32,480 --> 01:05:36,439
Speaker 5: Unfortunately it does actually save you money, guys, oh very much.

1319
01:05:36,440 --> 01:05:36,520
Speaker 4: So.

1320
01:05:37,200 --> 01:05:41,320
Speaker 1: Also I got I just signed up for a food delivery,

1321
01:05:41,360 --> 01:05:43,479
Speaker 1: which had I had become like, I feel like food

1322
01:05:43,520 --> 01:05:45,720
Speaker 1: delivery has got to be so overdone. There's a million

1323
01:05:45,720 --> 01:05:49,280
Speaker 1: of them. But one of my friends was raving about

1324
01:05:49,640 --> 01:05:53,240
Speaker 1: how she uses this new subscription meal service where it's

1325
01:05:53,240 --> 01:05:55,160
Speaker 1: like chef delivered meals. I just signed up and it

1326
01:05:55,200 --> 01:06:00,240
Speaker 1: was a hundred bucks for six meals for the So

1327
01:06:00,320 --> 01:06:02,920
Speaker 1: that's a meal every night during the week. And apps

1328
01:06:02,960 --> 01:06:06,000
Speaker 1: that would be two door dash orders with all them

1329
01:06:06,000 --> 01:06:08,080
Speaker 1: fees and stuff from you and my husband.

1330
01:06:08,960 --> 01:06:11,520
Speaker 6: Oh that's like, yeah, have.

1331
01:06:11,560 --> 01:06:13,800
Speaker 1: Y'all done anything in your life to save money recently,

1332
01:06:13,880 --> 01:06:18,280
Speaker 1: like just to whether it's like using less credit, you know.

1333
01:06:18,800 --> 01:06:20,000
Speaker 6: Yeah, I used to.

1334
01:06:20,360 --> 01:06:22,320
Speaker 2: I used to get my hair done a lot more

1335
01:06:22,680 --> 01:06:25,320
Speaker 2: and now I do it a lot more myself, or

1336
01:06:25,600 --> 01:06:28,880
Speaker 2: just you know, book appointments with my sister to do

1337
01:06:28,960 --> 01:06:31,439
Speaker 2: my braiding or things like they look.

1338
01:06:31,440 --> 01:06:34,120
Speaker 1: Very cute, these like little side birds, you.

1339
01:06:34,080 --> 01:06:36,960
Speaker 2: Know, and I could I could definitely see like a

1340
01:06:37,040 --> 01:06:40,680
Speaker 2: decrease in the beauty you know up keep department and

1341
01:06:40,800 --> 01:06:43,640
Speaker 2: just di y that's my thingmm.

1342
01:06:43,440 --> 01:06:46,520
Speaker 5: Hmm, yeah, there's Yeah, there's maintenance where I'd be like

1343
01:06:46,560 --> 01:06:48,800
Speaker 5: ooh every two weeks and now I'm more like, all right,

1344
01:06:49,080 --> 01:06:54,040
Speaker 5: once a month that will be the thing. Also, I'm like,

1345
01:06:54,160 --> 01:06:57,640
Speaker 5: all right, we gotta rain these ride shares in so

1346
01:06:57,720 --> 01:07:02,360
Speaker 5: it's like planning ahead, gotta get on that train, gotta

1347
01:07:02,400 --> 01:07:05,600
Speaker 5: get on that bus, like plan ahead, Like I think

1348
01:07:05,640 --> 01:07:08,400
Speaker 5: that's the biggest thing where I'm like, all right, we

1349
01:07:08,480 --> 01:07:11,560
Speaker 5: do not have to uber everywhere, Like, get get your

1350
01:07:11,560 --> 01:07:13,080
Speaker 5: butt on that bus. You live in a city with

1351
01:07:13,120 --> 01:07:15,360
Speaker 5: good public transportation, take advantage of it.

1352
01:07:17,040 --> 01:07:20,640
Speaker 4: It's honestly, I'm going back to my college days. I

1353
01:07:20,640 --> 01:07:22,360
Speaker 4: feel like I have a water bottle with me. Everywhere

1354
01:07:22,360 --> 01:07:24,200
Speaker 4: I go, I'll have to buy water of the kind

1355
01:07:24,200 --> 01:07:24,800
Speaker 4: of stuff I like.

1356
01:07:25,000 --> 01:07:28,960
Speaker 1: Someone that's pretty, isn't it pretty Pride?

1357
01:07:30,160 --> 01:07:33,640
Speaker 4: It's a rainbow bottle. Anyway, I get my nails done

1358
01:07:33,760 --> 01:07:35,120
Speaker 4: by in a way of like I'll go and be

1359
01:07:35,200 --> 01:07:37,000
Speaker 4: like get me, do what you do for the men

1360
01:07:37,400 --> 01:07:40,120
Speaker 4: for me, Just clean up the cuticle, maybe it look nice.

1361
01:07:40,160 --> 01:07:42,360
Speaker 4: And then I go to CBS or wherever. Actually I

1362
01:07:42,360 --> 01:07:45,480
Speaker 4: get it on Amazon sometimes or through Etsy. I'll just

1363
01:07:45,520 --> 01:07:48,240
Speaker 4: get some paistons and do it like that. I had

1364
01:07:48,240 --> 01:07:50,200
Speaker 4: found a really great adhiece of glue, so I've been

1365
01:07:50,240 --> 01:07:52,920
Speaker 4: loving that. Learning to do my hair also Evey one

1366
01:07:53,000 --> 01:07:56,120
Speaker 4: hundred percent. I got a trip next week and I'm

1367
01:07:56,160 --> 01:07:58,640
Speaker 4: literally like, how am I gonna do my hair? I

1368
01:07:58,680 --> 01:08:01,160
Speaker 4: don't want to spend three hundred dollars on these French

1369
01:08:01,240 --> 01:08:02,520
Speaker 4: curl layered braids.

1370
01:08:02,840 --> 01:08:05,160
Speaker 1: See I wonder I want to we who's doing this

1371
01:08:05,240 --> 01:08:08,520
Speaker 1: study on African braiding salons this summer, because if the

1372
01:08:08,560 --> 01:08:11,680
Speaker 1: girls are not getting their hair braided down, that to me.

1373
01:08:13,000 --> 01:08:17,040
Speaker 5: Oh if like if braids go I'm like, oh we

1374
01:08:17,080 --> 01:08:20,519
Speaker 5: are in to me, we are because braidss like okay, it.

1375
01:08:20,600 --> 01:08:23,719
Speaker 1: Was boho braids last summer, but it lasts a little longer.

1376
01:08:23,880 --> 01:08:27,200
Speaker 5: Like it's hot, I don't have to but if braiding

1377
01:08:27,240 --> 01:08:30,120
Speaker 5: goes by the wayside, it's like, oh honey, we might

1378
01:08:30,160 --> 01:08:30,759
Speaker 5: be in trouble.

1379
01:08:30,880 --> 01:08:31,679
Speaker 3: Something is happening.

1380
01:08:32,240 --> 01:08:34,439
Speaker 4: Let me let me see the uptick and head scarves

1381
01:08:34,479 --> 01:08:35,000
Speaker 4: be sold.

1382
01:08:36,520 --> 01:08:39,759
Speaker 1: That's what I It's too hot for all that. Yeah,

1383
01:08:39,880 --> 01:08:41,439
Speaker 1: it's not even a money thing for me. I can't

1384
01:08:41,479 --> 01:08:43,360
Speaker 1: sit down for seven hours while someone but I just

1385
01:08:43,360 --> 01:08:45,160
Speaker 1: can't ask too much is too much for me. I'm

1386
01:08:45,200 --> 01:08:47,240
Speaker 1: never going to be a braid girly. But you know

1387
01:08:47,280 --> 01:08:49,479
Speaker 1: what I also feel like during the last recession, like

1388
01:08:49,720 --> 01:08:52,320
Speaker 1: well this was during my January, like our early recession

1389
01:08:52,360 --> 01:08:56,240
Speaker 1: two thousand and eight, seven, eight, nine ten, one of

1390
01:08:56,280 --> 01:08:59,240
Speaker 1: the one of the things that upticked were like basic

1391
01:08:59,280 --> 01:09:02,080
Speaker 1: manicures because because that was like people's treat so women

1392
01:09:02,120 --> 01:09:04,840
Speaker 1: were like buying a lipstick, buying a little man. Getting

1393
01:09:04,840 --> 01:09:08,479
Speaker 1: a little manicure as like a small creature comfort when

1394
01:09:08,520 --> 01:09:11,720
Speaker 1: everything else felt like out of reach. I hope that

1395
01:09:11,760 --> 01:09:13,920
Speaker 1: we can find these like moments of self care and joy.

1396
01:09:13,960 --> 01:09:15,400
Speaker 1: Why has it always got to be the nails and

1397
01:09:15,439 --> 01:09:17,120
Speaker 1: the hair that takes it? Like, why can't we get

1398
01:09:17,200 --> 01:09:19,920
Speaker 1: rid of something else? Like I don't have these kids.

1399
01:09:20,040 --> 01:09:23,960
Speaker 1: Kids are very expensive. It would be much more, it

1400
01:09:24,280 --> 01:09:27,160
Speaker 1: be much more beneficial to my budget if I didn't

1401
01:09:27,160 --> 01:09:29,400
Speaker 1: have to pay twenty five one hundred dollars a month

1402
01:09:29,439 --> 01:09:32,040
Speaker 1: for daycare. That would be nice. Can we get some

1403
01:09:32,160 --> 01:09:36,000
Speaker 1: universal childcare? Like there's all this pressure on us to

1404
01:09:36,120 --> 01:09:38,120
Speaker 1: like budget and stuff, but at a certain point in

1405
01:09:38,160 --> 01:09:40,719
Speaker 1: this economy, it just feels like there's nothing left else

1406
01:09:40,760 --> 01:09:44,160
Speaker 1: to cut. I don't cut everything to some of the streamers,

1407
01:09:44,720 --> 01:09:48,000
Speaker 1: you know, you try to like cut your eating out,

1408
01:09:48,040 --> 01:09:49,760
Speaker 1: cut your rise shares and things like that. But when

1409
01:09:49,800 --> 01:09:54,840
Speaker 1: the cost of housing is so crazy, I just got

1410
01:09:54,880 --> 01:09:57,839
Speaker 1: my I just got my house, my new tax assessment.

1411
01:09:57,840 --> 01:10:02,000
Speaker 3: Do y'all own homes men street, it's trash?

1412
01:10:02,240 --> 01:10:04,840
Speaker 1: Well, oh not, Evie JQ. You know this because okay, one,

1413
01:10:04,840 --> 01:10:07,280
Speaker 1: you're show to talk about housing. But as a homeowner,

1414
01:10:07,320 --> 01:10:10,160
Speaker 1: every year my town decides what my house is valued,

1415
01:10:10,200 --> 01:10:12,679
Speaker 1: and a free assesses it so they can get more

1416
01:10:12,720 --> 01:10:14,960
Speaker 1: taxes out of us. Tell me why I have not

1417
01:10:15,000 --> 01:10:16,680
Speaker 1: done a single thing to this house. If anything, the

1418
01:10:16,720 --> 01:10:20,719
Speaker 1: house has become worse since last year. Things are falling apart,

1419
01:10:20,800 --> 01:10:23,400
Speaker 1: and it's like your home value has increased sixty two

1420
01:10:23,479 --> 01:10:27,519
Speaker 1: thousand dollars. Congrats, we're going to be taken twenty And

1421
01:10:27,520 --> 01:10:30,200
Speaker 1: I already paid twenty thousand dollars a year in property taxes.

1422
01:10:30,880 --> 01:10:33,240
Speaker 1: And it's the same for renters like across the street.

1423
01:10:33,560 --> 01:10:36,360
Speaker 1: And I know why across the street, my neighbor she

1424
01:10:36,479 --> 01:10:40,720
Speaker 1: rents her house. They were like pandemic Brooklyn refugees, and

1425
01:10:40,840 --> 01:10:43,920
Speaker 1: their landlord probably got the same letter I did. Where

1426
01:10:43,920 --> 01:10:46,679
Speaker 1: her house, her home value increased, and probably her taxes

1427
01:10:46,720 --> 01:10:49,519
Speaker 1: increase because their rent is going up five hundred dollars

1428
01:10:50,560 --> 01:10:52,519
Speaker 1: and they're like, we don't want to pay that, but

1429
01:10:52,880 --> 01:10:55,000
Speaker 1: and I don't want to pay my increased property taxes

1430
01:10:55,120 --> 01:11:00,200
Speaker 1: is wild. So it's a bit like that. Yeah, I guess, yeah,

1431
01:11:00,200 --> 01:11:03,919
Speaker 1: I'm just it's really frustrating. It can be really frustrating,

1432
01:11:04,000 --> 01:11:06,479
Speaker 1: especially I mean, Alexa, we're covering personal finance and JQ

1433
01:11:06,800 --> 01:11:10,360
Speaker 1: to a certain extent, but like when the advice for

1434
01:11:10,520 --> 01:11:13,680
Speaker 1: consumers on how they can make ends meet is like

1435
01:11:14,880 --> 01:11:18,599
Speaker 1: they've trimmed everything. It's like, we need something. We need

1436
01:11:18,640 --> 01:11:22,479
Speaker 1: more houses built, like we need more economic relief social

1437
01:11:22,720 --> 01:11:25,960
Speaker 1: safety nets, which unfortunately, going back to the big, bad,

1438
01:11:26,520 --> 01:11:29,800
Speaker 1: bogus bullshit bill that's going through Congress right now, could

1439
01:11:29,800 --> 01:11:33,160
Speaker 1: be reducing those social safety nets at a time when

1440
01:11:33,200 --> 01:11:35,559
Speaker 1: we're all out here struggling so much.

1441
01:11:36,920 --> 01:11:39,719
Speaker 3: It makes no sense. It's quite sad.

1442
01:11:40,160 --> 01:11:43,320
Speaker 4: It's so remarkably offensive to me because it's such a

1443
01:11:43,400 --> 01:11:46,439
Speaker 4: lack of under of wanting to understand that it's not

1444
01:11:46,479 --> 01:11:50,200
Speaker 4: that people are lazy. Okay, we're really doing everything we

1445
01:11:50,400 --> 01:11:53,640
Speaker 4: can to make ends meat, to get to the end

1446
01:11:53,680 --> 01:11:55,519
Speaker 4: of the year to get, you know, just to be

1447
01:11:55,640 --> 01:11:58,439
Speaker 4: on the table, and you're here telling me, oh, you know,

1448
01:11:58,439 --> 01:12:01,080
Speaker 4: if you work a little harder, you know, just just

1449
01:12:01,240 --> 01:12:04,520
Speaker 4: go to school. Oh just take on all the Yeah,

1450
01:12:04,680 --> 01:12:09,200
Speaker 4: like they make it sound so they're they're not considering

1451
01:12:09,400 --> 01:12:12,400
Speaker 4: everything that's already being done, and how things that are

1452
01:12:12,439 --> 01:12:15,919
Speaker 4: the worst parts are the systemic issues, the systemic elements

1453
01:12:15,920 --> 01:12:19,240
Speaker 4: of this. So they're propagating, that's the most It's it's

1454
01:12:19,280 --> 01:12:22,799
Speaker 4: the offensiveness of it for me that, Yeah, that hurts

1455
01:12:22,800 --> 01:12:23,240
Speaker 4: so much.

1456
01:12:23,960 --> 01:12:26,000
Speaker 1: Meanwhile, AI is going to come for all of our jobs,

1457
01:12:26,520 --> 01:12:30,400
Speaker 1: all heard. It is a little bit personal to me

1458
01:12:30,479 --> 01:12:32,960
Speaker 1: because Business Insider is how I got my start in

1459
01:12:32,960 --> 01:12:35,840
Speaker 1: personal finance reporting over a decade ago. But they just

1460
01:12:35,880 --> 01:12:39,160
Speaker 1: announced twenty one percent layoffs of their staff, which is

1461
01:12:39,200 --> 01:12:42,559
Speaker 1: a lot of dozens of workers. But what really has

1462
01:12:42,600 --> 01:12:45,400
Speaker 1: pissed everybody off and was surprising to me is how

1463
01:12:45,439 --> 01:12:47,360
Speaker 1: they owned They owned up to the fact that it

1464
01:12:47,400 --> 01:12:50,080
Speaker 1: was AI that was driving them to make these cuts.

1465
01:12:50,120 --> 01:12:54,000
Speaker 1: They specifically cut their e commerce team, which is like,

1466
01:12:54,439 --> 01:12:56,240
Speaker 1: which is pretty much like what I was doing when

1467
01:12:56,240 --> 01:12:58,360
Speaker 1: I was in marketing. I was doing content marketing. You'd

1468
01:12:58,479 --> 01:13:01,280
Speaker 1: create content that was tied to products, that you would

1469
01:13:01,320 --> 01:13:05,000
Speaker 1: get affiliate revenue from, like the same stuff Wirecutter does

1470
01:13:05,840 --> 01:13:07,960
Speaker 1: and nerd wallet stuff like that. So they're cutting that

1471
01:13:08,040 --> 01:13:11,360
Speaker 1: because they have realized that, oh, we can train an

1472
01:13:11,400 --> 01:13:14,439
Speaker 1: AI model to create this kind of content, so let's

1473
01:13:14,439 --> 01:13:18,360
Speaker 1: get rid of the humans. And it's so it's just

1474
01:13:18,720 --> 01:13:20,439
Speaker 1: it really hit me because I'm like, oh, that would

1475
01:13:20,439 --> 01:13:24,200
Speaker 1: be my story probably if I had stayed, you know,

1476
01:13:24,360 --> 01:13:26,880
Speaker 1: in in that kind of media space that I was in.

1477
01:13:27,240 --> 01:13:32,160
Speaker 1: And it's a real scary sign of what can be

1478
01:13:32,320 --> 01:13:34,719
Speaker 1: what's to come. And I know we're all in media

1479
01:13:34,720 --> 01:13:37,320
Speaker 1: in some way, shape or form. How do y'all feel

1480
01:13:37,320 --> 01:13:37,760
Speaker 1: about it?

1481
01:13:38,520 --> 01:13:41,479
Speaker 3: Yeah, it's it's honestly, it's frightening.

1482
01:13:43,320 --> 01:13:46,760
Speaker 5: You know, I'm not the biggest like AI user, but

1483
01:13:46,880 --> 01:13:48,559
Speaker 5: I do know people who do use it, and there

1484
01:13:48,600 --> 01:13:50,720
Speaker 5: are some tools where I'm like, okay, that makes sense. Like,

1485
01:13:50,800 --> 01:13:53,360
Speaker 5: you know, if you're doing a big investigative piece and

1486
01:13:53,400 --> 01:13:55,720
Speaker 5: you're trying to comb through a data set, it is

1487
01:13:55,840 --> 01:13:58,639
Speaker 5: probably very helpful to be like, all right, this can

1488
01:13:58,640 --> 01:14:01,120
Speaker 5: pull out these metrics that I'm looking for, save me

1489
01:14:01,160 --> 01:14:03,040
Speaker 5: a little bit of time before I look over them.

1490
01:14:03,120 --> 01:14:07,000
Speaker 5: But when it comes to writing, when it comes to

1491
01:14:07,160 --> 01:14:11,080
Speaker 5: like a podcast, like there's a certain amount of even

1492
01:14:11,120 --> 01:14:13,920
Speaker 5: if it's just a straight news story, there is like

1493
01:14:14,120 --> 01:14:18,160
Speaker 5: soul in that human element, and I think we shouldn't

1494
01:14:18,200 --> 01:14:18,800
Speaker 5: discount that.

1495
01:14:18,920 --> 01:14:20,679
Speaker 3: And if it goes by the wayside at.

1496
01:14:20,560 --> 01:14:24,240
Speaker 5: A lot of organizations, I think people do not realize

1497
01:14:24,320 --> 01:14:26,080
Speaker 5: how much they are going to miss it.

1498
01:14:27,720 --> 01:14:31,920
Speaker 4: Agreed, Agreed. There have to be ethical limits, especially within

1499
01:14:32,200 --> 01:14:37,200
Speaker 4: certain disciplines like journalism. I just don't believe that AI

1500
01:14:37,400 --> 01:14:40,960
Speaker 4: can take on the kind of as you were saying, JQ,

1501
01:14:41,280 --> 01:14:44,080
Speaker 4: the human element of these kind of pieces. Now I

1502
01:14:44,160 --> 01:14:46,759
Speaker 4: work in media, yes, but I work on the operation side,

1503
01:14:47,400 --> 01:14:50,439
Speaker 4: right so I'm building dashboards, I'm building I had to

1504
01:14:50,479 --> 01:14:53,040
Speaker 4: build a couple opps to make stuff happen for work,

1505
01:14:53,160 --> 01:14:56,160
Speaker 4: and I need a honestly without a not that I

1506
01:14:56,240 --> 01:14:58,400
Speaker 4: need it, but it, when I tell you, it makes

1507
01:14:58,439 --> 01:15:01,240
Speaker 4: a task that would have taken the full month or

1508
01:15:01,240 --> 01:15:04,160
Speaker 4: two months, and this turned it into two weeks. And

1509
01:15:04,280 --> 01:15:06,120
Speaker 4: like where I can tweak it and make it right

1510
01:15:06,200 --> 01:15:08,960
Speaker 4: for our business, where my human element then goes in

1511
01:15:09,000 --> 01:15:12,679
Speaker 4: and arranges it perfect. That's great for the operation side

1512
01:15:12,680 --> 01:15:14,320
Speaker 4: of things, for the part that deals with numbers, for

1513
01:15:14,400 --> 01:15:16,280
Speaker 4: the part that deals with you know, that kind of

1514
01:15:16,360 --> 01:15:18,040
Speaker 4: chug and plug of I just need to build this

1515
01:15:18,160 --> 01:15:22,080
Speaker 4: with a tool, the structure versus the meat of it,

1516
01:15:22,120 --> 01:15:24,640
Speaker 4: which is what should be supplied by the humans. If

1517
01:15:24,720 --> 01:15:27,280
Speaker 4: we have the skeletal structure by an AI situation, I

1518
01:15:27,280 --> 01:15:29,120
Speaker 4: don't see I personally don't see as much of an

1519
01:15:29,120 --> 01:15:30,840
Speaker 4: issue with it, But I do see the issue when

1520
01:15:30,840 --> 01:15:34,519
Speaker 4: it comes into the play of you know, journalism, writing

1521
01:15:34,640 --> 01:15:37,479
Speaker 4: the meat of what makes it what it like different

1522
01:15:37,479 --> 01:15:39,920
Speaker 4: from something else, because what's to say, you know, Business

1523
01:15:39,920 --> 01:15:43,439
Speaker 4: Insider versus the Financial Times versus whoever else? Oh yeah,

1524
01:15:43,479 --> 01:15:45,680
Speaker 4: probably using AI to create all these articles. Like I

1525
01:15:45,800 --> 01:15:49,160
Speaker 4: just I know you can to a certain element, curate

1526
01:15:49,200 --> 01:15:51,439
Speaker 4: it so that it is aligned with the voice of

1527
01:15:51,479 --> 01:15:54,320
Speaker 4: your brand. But I have to believe that there are

1528
01:15:54,360 --> 01:15:58,439
Speaker 4: limits to that that only a human can surpass. I'm

1529
01:15:58,520 --> 01:16:00,360
Speaker 4: very fascinated by all of this, but I said, I

1530
01:16:00,479 --> 01:16:02,400
Speaker 4: very much believe there should be ethical meditations.

1531
01:16:03,800 --> 01:16:07,080
Speaker 6: I I'm a proponent of it from like a.

1532
01:16:08,560 --> 01:16:13,840
Speaker 2: Utilizing this tool right like because because let's media has

1533
01:16:13,880 --> 01:16:17,519
Speaker 2: been through these stages like every so often we go

1534
01:16:17,640 --> 01:16:22,639
Speaker 2: through these like you know, huge shifts in media, right

1535
01:16:22,720 --> 01:16:26,720
Speaker 2: and like how we bring information to to our audience.

1536
01:16:26,800 --> 01:16:29,320
Speaker 2: So this is just another one of them. I do

1537
01:16:29,400 --> 01:16:32,479
Speaker 2: think it's a it's a tool for us to learn

1538
01:16:32,640 --> 01:16:37,439
Speaker 2: and utilize, but it is not a tool necessarily. Well,

1539
01:16:37,920 --> 01:16:41,400
Speaker 2: I haven't seen this yet where it can replace a

1540
01:16:41,560 --> 01:16:46,559
Speaker 2: human voice. Right, even if you you know, you get something,

1541
01:16:46,640 --> 01:16:51,000
Speaker 2: it's like there's a lot of it is false, completely.

1542
01:16:50,479 --> 01:16:53,120
Speaker 6: False, and it's like made up.

1543
01:16:53,320 --> 01:16:53,599
Speaker 3: Right.

1544
01:16:53,760 --> 01:16:59,080
Speaker 2: So, like you said, Alexa, it creates a It's great

1545
01:16:59,120 --> 01:17:03,640
Speaker 2: at creating a template or some kind of like structure,

1546
01:17:04,120 --> 01:17:08,360
Speaker 2: but as far as like creating just like creating in general,

1547
01:17:08,400 --> 01:17:10,559
Speaker 2: like an end to end, it's not there yet. But

1548
01:17:10,760 --> 01:17:17,960
Speaker 2: I'm enjoying using this tool for quick assessments, creating specific

1549
01:17:18,120 --> 01:17:23,080
Speaker 2: like formats, a lot of like data analysis too. That's

1550
01:17:23,120 --> 01:17:26,720
Speaker 2: really helpful. So I'm enjoying that aspect of it. But

1551
01:17:27,000 --> 01:17:29,880
Speaker 2: from we have a lot a long ways to go

1552
01:17:30,000 --> 01:17:34,720
Speaker 2: in terms of like ethical like rules and guardrails when

1553
01:17:34,760 --> 01:17:36,760
Speaker 2: it comes to these.

1554
01:17:36,520 --> 01:17:39,439
Speaker 4: I think the challenge also comes by way of human

1555
01:17:39,520 --> 01:17:45,040
Speaker 4: abuse of AI, like as in as in substituting AI

1556
01:17:45,240 --> 01:17:48,320
Speaker 4: for human discernments, I mean human discernment like stuff stuting

1557
01:17:48,360 --> 01:17:51,840
Speaker 4: human discernment for AI, excuse me, and not like I

1558
01:17:51,880 --> 01:17:54,720
Speaker 4: was reading this article recently at this this author he

1559
01:17:54,880 --> 01:17:56,960
Speaker 4: was sharing with one of his colleagues about how much

1560
01:17:56,960 --> 01:18:01,479
Speaker 4: he loved having chat GBT get him editing feedback on

1561
01:18:01,560 --> 01:18:03,880
Speaker 4: his work because he was like creating a new manuscript

1562
01:18:03,960 --> 01:18:06,080
Speaker 4: and he just wanted some quick verses having to hire

1563
01:18:06,120 --> 01:18:07,519
Speaker 4: an editor and do the whole thing. He's like, let

1564
01:18:07,520 --> 01:18:08,960
Speaker 4: me try and see if I can, you know, let

1565
01:18:09,000 --> 01:18:10,400
Speaker 4: me just see what he kept up to PT does

1566
01:18:10,439 --> 01:18:12,439
Speaker 4: And he loved what it turned out for him, and

1567
01:18:12,479 --> 01:18:15,760
Speaker 4: so he show his friend and his friend was reviewing

1568
01:18:15,920 --> 01:18:17,680
Speaker 4: what it was saying to him, and really it was

1569
01:18:17,760 --> 01:18:19,519
Speaker 4: just all a bunch of feedback that was playing up

1570
01:18:19,560 --> 01:18:22,800
Speaker 4: his ego and very much like, oh, yeah, we see

1571
01:18:22,840 --> 01:18:25,240
Speaker 4: what you did here. But if you just make this

1572
01:18:25,400 --> 01:18:28,960
Speaker 4: minor correcting, and she's like, this entire page needs to go.

1573
01:18:29,040 --> 01:18:31,160
Speaker 4: This entire painic needs to be completely re edited and

1574
01:18:31,360 --> 01:18:33,920
Speaker 4: rewriting and redone and whatnot. And I think that's something

1575
01:18:33,960 --> 01:18:39,160
Speaker 4: to be said about, like are you able to tell

1576
01:18:39,600 --> 01:18:44,960
Speaker 4: when when your ego's being stroked, you know, and being

1577
01:18:44,960 --> 01:18:47,040
Speaker 4: able to say, hey, no, actually I want you to

1578
01:18:47,120 --> 01:18:49,200
Speaker 4: come at me on this like I want you to.

1579
01:18:49,520 --> 01:18:51,920
Speaker 4: But AI has been created in a way of like, no,

1580
01:18:52,040 --> 01:18:54,000
Speaker 4: you are the support to the humans. You make the

1581
01:18:54,080 --> 01:18:56,800
Speaker 4: humans feel and hear exactly what they want to feel

1582
01:18:56,800 --> 01:18:58,360
Speaker 4: in here. Just do it in a way that is

1583
01:18:58,439 --> 01:19:01,880
Speaker 4: constructive and that is supportive, passionate, as compassionate as you

1584
01:19:01,880 --> 01:19:04,320
Speaker 4: know a tech tool can be. And I mean you're

1585
01:19:04,320 --> 01:19:07,320
Speaker 4: seeing people use chat gipt for for therapy, all right,

1586
01:19:07,360 --> 01:19:10,120
Speaker 4: Like these are the kind of limitations I'm talking about.

1587
01:19:10,680 --> 01:19:12,880
Speaker 1: Yeah, my cousin told me she was using chat to

1588
01:19:12,960 --> 01:19:13,799
Speaker 1: learn how to break.

1589
01:19:13,680 --> 01:19:16,920
Speaker 3: Up with the guy. Uh. Girl, go to the group chat,

1590
01:19:17,000 --> 01:19:18,640
Speaker 3: Go to the group chat, go to the.

1591
01:19:18,800 --> 01:19:21,160
Speaker 1: That's the thing, gen Z. She's I'm like, ask your friends.

1592
01:19:21,160 --> 01:19:22,600
Speaker 1: She's like, I don't know. They don't really get it.

1593
01:19:22,720 --> 01:19:25,400
Speaker 1: I'm like, okay, Like to.

1594
01:19:25,400 --> 01:19:27,960
Speaker 5: Be human is to be in conflict, and you can't

1595
01:19:28,000 --> 01:19:30,680
Speaker 5: really I think we do ourselves a disservice when we

1596
01:19:30,720 --> 01:19:33,559
Speaker 5: smooth off those edges. Like a running joke that I

1597
01:19:33,600 --> 01:19:37,000
Speaker 5: have told every person who edits me and this has

1598
01:19:37,439 --> 01:19:39,360
Speaker 5: even been since, Like I even felt this way as

1599
01:19:39,360 --> 01:19:42,320
Speaker 5: a kid because my parents would edit my essays for

1600
01:19:42,400 --> 01:19:46,080
Speaker 5: like school in high school, and part of having an

1601
01:19:46,160 --> 01:19:49,040
Speaker 5: editor like you're just gonna feel a sense of defensiveness.

1602
01:19:49,080 --> 01:19:52,280
Speaker 5: Like there's always like they'll strike something out or add something,

1603
01:19:52,280 --> 01:19:53,960
Speaker 5: and so you get this feeling of like so you

1604
01:19:53,960 --> 01:19:54,559
Speaker 5: think I'm dumb.

1605
01:19:54,560 --> 01:19:56,080
Speaker 3: You think I'm dumb, and you hate me. You hate

1606
01:19:56,080 --> 01:19:56,439
Speaker 3: me and you.

1607
01:19:56,360 --> 01:19:59,160
Speaker 5: Think I'm dumb, and you never like act on it.

1608
01:19:59,439 --> 01:20:01,560
Speaker 5: As time go by, you start to feel it a

1609
01:20:01,560 --> 01:20:03,680
Speaker 5: little less, but there always is that thing of like,

1610
01:20:03,920 --> 01:20:05,760
Speaker 5: you think I'm stupid and you hate me, and that's

1611
01:20:05,800 --> 01:20:07,800
Speaker 5: why you took that sentence out, isn't it. And it's

1612
01:20:07,840 --> 01:20:12,080
Speaker 5: like no, no, they're they're doing the right thing, and

1613
01:20:12,120 --> 01:20:13,000
Speaker 5: it's just you have to learn.

1614
01:20:13,280 --> 01:20:15,440
Speaker 3: That's my love language. I'm a masochist.

1615
01:20:15,479 --> 01:20:18,360
Speaker 1: I'm like, if you don't give me critical feedback like

1616
01:20:18,360 --> 01:20:21,160
Speaker 1: and I mean critical, like this sucks? Why this?

1617
01:20:21,680 --> 01:20:21,800
Speaker 4: Then?

1618
01:20:21,840 --> 01:20:23,960
Speaker 1: Are you even do you even like me enough to

1619
01:20:24,040 --> 01:20:24,960
Speaker 1: give me criticism?

1620
01:20:25,080 --> 01:20:25,160
Speaker 4: Like?

1621
01:20:25,200 --> 01:20:29,879
Speaker 1: That's my relationship to being edited. Although I will say, Alexa,

1622
01:20:29,960 --> 01:20:31,720
Speaker 1: some of us do need our ego stroke. When we

1623
01:20:31,760 --> 01:20:33,680
Speaker 1: were in writer's block and I did. I'm working on

1624
01:20:33,720 --> 01:20:36,720
Speaker 1: my book and there was a point when I uploaded

1625
01:20:36,720 --> 01:20:40,559
Speaker 1: like three chapters into chat GPT or perplexity. I forget

1626
01:20:40,560 --> 01:20:42,840
Speaker 1: which one, and I was like, tell me how you

1627
01:20:42,920 --> 01:20:45,960
Speaker 1: like these chapters? And I really needed them to like

1628
01:20:46,040 --> 01:20:50,080
Speaker 1: them and loved it. It was so common I think

1629
01:20:50,120 --> 01:20:51,559
Speaker 1: I even posted about it. I was like Wow, I

1630
01:20:51,600 --> 01:20:54,400
Speaker 1: really need this pick me up. But is it real?

1631
01:20:54,640 --> 01:20:56,760
Speaker 3: Hell no, but it's nice.

1632
01:20:56,800 --> 01:20:59,599
Speaker 4: Yeah, it's hard. It's hard. The thing with us too.

1633
01:20:59,680 --> 01:21:02,840
Speaker 4: And uploading your work. Another thing I've been actually reading

1634
01:21:02,840 --> 01:21:04,960
Speaker 4: about is how you have to and it's just a

1635
01:21:04,960 --> 01:21:06,599
Speaker 4: note to human because I don't want not to happen

1636
01:21:06,600 --> 01:21:08,320
Speaker 4: in with your work at all. But like in a

1637
01:21:08,400 --> 01:21:12,280
Speaker 4: negative sense of unchat REPT, there's a toggle that's often

1638
01:21:12,320 --> 01:21:15,000
Speaker 4: like just automate automatically on. You have to turn it off,

1639
01:21:15,160 --> 01:21:16,840
Speaker 4: but it's like, would you like to help other chat

1640
01:21:16,840 --> 01:21:21,680
Speaker 4: gpt upload like the content that you put in and

1641
01:21:21,720 --> 01:21:24,360
Speaker 4: like it can use whatever you upload to like be

1642
01:21:24,560 --> 01:21:26,720
Speaker 4: like kind of take it as its own and take

1643
01:21:26,720 --> 01:21:28,839
Speaker 4: ownership of that. So I would just be very careful

1644
01:21:28,880 --> 01:21:31,880
Speaker 4: of like uploading full chafters or any anything like that.

1645
01:21:31,920 --> 01:21:35,280
Speaker 4: But when I just want to say that also very random,

1646
01:21:35,360 --> 01:21:38,439
Speaker 4: well not random, it's very connected to this, but slightly adjacent.

1647
01:21:38,680 --> 01:21:40,240
Speaker 4: Have you ell ever heard of solar punk?

1648
01:21:40,760 --> 01:21:42,240
Speaker 3: No?

1649
01:21:42,240 --> 01:21:45,080
Speaker 4: No, okay, So, like solar punk dies into like AI

1650
01:21:45,120 --> 01:21:47,400
Speaker 4: in tech and like the so so many people are

1651
01:21:47,439 --> 01:21:49,280
Speaker 4: when they are talking about AI or they're talking about

1652
01:21:49,280 --> 01:21:51,920
Speaker 4: tech about there's taking over. It's gonna take over absolutely

1653
01:21:51,920 --> 01:21:54,560
Speaker 4: everything it's gonna take over humans. Humans are gonna be

1654
01:21:54,600 --> 01:21:57,360
Speaker 4: a thing anymore, blood or whatever whatever. Solar Punk takes

1655
01:21:57,360 --> 01:22:01,360
Speaker 4: it as AI and humans living together in harmony and

1656
01:22:01,400 --> 01:22:05,400
Speaker 4: finding different limitations for AI so it doesn't infringe upon

1657
01:22:05,720 --> 01:22:09,920
Speaker 4: human life and instead supports it. So think of like agriculture, right,

1658
01:22:10,000 --> 01:22:13,840
Speaker 4: think of like solar panels, even like types of tech

1659
01:22:13,920 --> 01:22:18,360
Speaker 4: in that regard supporting human goals. So that's where I'm

1660
01:22:18,400 --> 01:22:20,639
Speaker 4: most interested. The reason I bring that up this because

1661
01:22:21,040 --> 01:22:23,439
Speaker 4: when I'm thinking about ethical limitations or I'm thinking about

1662
01:22:23,479 --> 01:22:26,320
Speaker 4: where AI is going, that is what I'm most interested

1663
01:22:26,400 --> 01:22:29,719
Speaker 4: in learning about. How might we support our incoming students.

1664
01:22:29,720 --> 01:22:31,559
Speaker 4: I mean, Morgan Debond just posted about this on our

1665
01:22:31,600 --> 01:22:35,920
Speaker 4: Instagram story about all of the new kids who are

1666
01:22:35,920 --> 01:22:37,880
Speaker 4: applying to work at Blavity, Like none of them are

1667
01:22:37,960 --> 01:22:40,519
Speaker 4: like prepared. They don't have anything in their skill set

1668
01:22:40,520 --> 01:22:42,479
Speaker 4: that is like, yes, of course they're entry levels to

1669
01:22:42,479 --> 01:22:45,040
Speaker 4: help prepared to expect them to be. But compared to

1670
01:22:45,080 --> 01:22:46,640
Speaker 4: where we are right now in the world and what

1671
01:22:46,720 --> 01:22:48,679
Speaker 4: companies need, like you have to have a basic level

1672
01:22:48,760 --> 01:22:51,400
Speaker 4: understanding of how AI is operating so that you can

1673
01:22:51,479 --> 01:22:55,280
Speaker 4: be an actual addition to this company versus you know,

1674
01:22:55,400 --> 01:22:58,600
Speaker 4: just another another body. So I'm curious to know, like

1675
01:22:58,640 --> 01:23:02,800
Speaker 4: how can we support kids learning better prompts? Learning, how

1676
01:23:02,840 --> 01:23:06,960
Speaker 4: to apply discernment with certain prompts? Learning, how to you

1677
01:23:06,960 --> 01:23:10,160
Speaker 4: know which type of AI is better for a particular tool,

1678
01:23:10,439 --> 01:23:12,800
Speaker 4: Like that is where I'm most interested in learning, Like

1679
01:23:12,840 --> 01:23:15,120
Speaker 4: how might there be a symbiotic relationship here because you

1680
01:23:15,160 --> 01:23:18,000
Speaker 4: cannot say AI is just stalk, We shouldn't have any

1681
01:23:18,200 --> 01:23:20,200
Speaker 4: It's here and it's here to stay, Like that's I

1682
01:23:20,240 --> 01:23:22,320
Speaker 4: cannot I talk about my parents this with my parents

1683
01:23:22,400 --> 01:23:25,080
Speaker 4: all the time. They are boomers. They're like, no, no,

1684
01:23:25,200 --> 01:23:27,360
Speaker 4: I refuse. I'm like, you're going to be lost in

1685
01:23:27,400 --> 01:23:30,320
Speaker 4: the sauce, mommy if you don't get into this now,

1686
01:23:30,400 --> 01:23:32,360
Speaker 4: Like you have to learn some of this now so

1687
01:23:32,400 --> 01:23:35,320
Speaker 4: that you're not left behind. And I think that there's

1688
01:23:35,400 --> 01:23:37,640
Speaker 4: this is the time where we're able to apply that

1689
01:23:37,760 --> 01:23:43,240
Speaker 4: understanding of here's how we can have more a more

1690
01:23:43,400 --> 01:23:46,680
Speaker 4: positive relationship with it than one that is antagonistic in

1691
01:23:46,680 --> 01:23:48,720
Speaker 4: the way that for example, what we're talking about here

1692
01:23:48,760 --> 01:23:52,080
Speaker 4: of the business insider layoffs, Like I just there's another

1693
01:23:52,160 --> 01:23:54,200
Speaker 4: answer here, and it just takes a lot of creativity

1694
01:23:54,200 --> 01:23:57,000
Speaker 4: of thought and how to tackle this complex.

1695
01:23:56,600 --> 01:24:00,640
Speaker 1: Issue Amen's sister friend. I will just note that my

1696
01:24:00,720 --> 01:24:03,880
Speaker 1: brother's on the board of the Responsible AI Institute, So

1697
01:24:03,920 --> 01:24:06,320
Speaker 1: if you're interested in learning more about responsible AI and

1698
01:24:06,360 --> 01:24:09,599
Speaker 1: ethics of AI, there are very smart people working on this,

1699
01:24:09,640 --> 01:24:11,599
Speaker 1: so I would check that out. All right, y'all, we're

1700
01:24:11,640 --> 01:24:15,200
Speaker 1: gonna take a break. EV's got to go, but Alexa

1701
01:24:15,240 --> 01:24:17,120
Speaker 1: and JQ are going to stick around. We're going to

1702
01:24:17,160 --> 01:24:19,080
Speaker 1: do brown Boost, Brown Break, and we're gonna take a

1703
01:24:19,200 --> 01:24:22,599
Speaker 1: very juicy question from ba Fam from a renter who

1704
01:24:22,680 --> 01:24:26,519
Speaker 1: is dealing with a very awkward financial situation with her roommate.

1705
01:24:27,120 --> 01:24:30,880
Speaker 1: Stick around, BA Fam will be right back. Okay, ba Fam,

1706
01:24:30,920 --> 01:24:32,800
Speaker 1: we are back. This is the part of the show,

1707
01:24:32,800 --> 01:24:34,759
Speaker 1: one of my favorite parts where we do our brown

1708
01:24:34,800 --> 01:24:37,280
Speaker 1: boost or brown break. Now, just to remind y'all of

1709
01:24:37,320 --> 01:24:40,760
Speaker 1: the rules, they're not that serious. But this is a

1710
01:24:40,800 --> 01:24:42,479
Speaker 1: time when we are either going to shine a light

1711
01:24:42,560 --> 01:24:44,840
Speaker 1: do a boost for something that we love. It can

1712
01:24:44,880 --> 01:24:47,559
Speaker 1: be you know, a personal win, a professional win. It

1713
01:24:47,560 --> 01:24:51,840
Speaker 1: can be your new favorite, you know, efficiency tool that

1714
01:24:51,880 --> 01:24:55,120
Speaker 1: you're using. It can be an app, it can be

1715
01:24:55,240 --> 01:24:57,800
Speaker 1: something in pop culture that you're really excited about. It's

1716
01:24:57,840 --> 01:25:00,800
Speaker 1: yours to shine a light on. But also we are

1717
01:25:00,840 --> 01:25:03,640
Speaker 1: here to acknowledge the multitude of feelings that we have,

1718
01:25:03,800 --> 01:25:05,200
Speaker 1: including the feelings.

1719
01:25:04,880 --> 01:25:06,880
Speaker 3: Of oh God, not again.

1720
01:25:07,280 --> 01:25:09,599
Speaker 1: So that's why we developed the brown break. Brown break

1721
01:25:09,680 --> 01:25:11,360
Speaker 1: is something that you are sick of, that you want

1722
01:25:11,400 --> 01:25:14,840
Speaker 1: to vent about, so feel free to get it off

1723
01:25:14,880 --> 01:25:17,679
Speaker 1: your chest. I don't want to put y'all on the spot,

1724
01:25:17,720 --> 01:25:21,240
Speaker 1: so I'm going to go first. You're well, God, and

1725
01:25:22,200 --> 01:25:26,160
Speaker 1: having just come off this the first group friend trip

1726
01:25:26,200 --> 01:25:30,320
Speaker 1: I've done in like a long time, I forgot how

1727
01:25:31,920 --> 01:25:35,439
Speaker 1: tricky and sticky like splitting expenses can be, and how

1728
01:25:35,520 --> 01:25:37,200
Speaker 1: kind of awkward it is, especially when you're with a

1729
01:25:37,240 --> 01:25:39,679
Speaker 1: group of friends who not everybody is the same level

1730
01:25:39,680 --> 01:25:43,040
Speaker 1: of front with everybody else. And some people are like, Okay, yeah,

1731
01:25:43,240 --> 01:25:45,080
Speaker 1: I'll be happy to pick up the bill for this

1732
01:25:45,200 --> 01:25:47,200
Speaker 1: dinner and we can just you know, we can divvy

1733
01:25:47,280 --> 01:25:49,559
Speaker 1: up the expenses later. And some people are like, well,

1734
01:25:49,600 --> 01:25:52,240
Speaker 1: I did not eat the pida and hummus and I

1735
01:25:52,280 --> 01:25:56,160
Speaker 1: did not have a mocktail, so I would like thirteen

1736
01:25:56,240 --> 01:25:59,880
Speaker 1: dollars and seventy five cents remove from my I actually, listen,

1737
01:26:00,560 --> 01:26:02,600
Speaker 1: I don't hate that, But when you're traveling with like

1738
01:26:02,640 --> 01:26:05,960
Speaker 1: different people and a certain group of people is used

1739
01:26:05,960 --> 01:26:09,360
Speaker 1: to that more like flexible, like freewheeling, like ooh, someone

1740
01:26:09,360 --> 01:26:11,080
Speaker 1: will pay, we'll cover it later. And some people are

1741
01:26:11,080 --> 01:26:13,920
Speaker 1: more used to just covering their own. It can get

1742
01:26:13,920 --> 01:26:17,719
Speaker 1: a little sticky, but I will say my friend Baron

1743
01:26:18,240 --> 01:26:22,839
Speaker 1: during this group trip to London, was so great about

1744
01:26:22,920 --> 01:26:26,519
Speaker 1: just like making executive decisions about what the protocol was

1745
01:26:26,560 --> 01:26:29,160
Speaker 1: going to be. And he had us all download this

1746
01:26:29,200 --> 01:26:32,679
Speaker 1: app called split Wise, which I haven't used in so long,

1747
01:26:33,120 --> 01:26:35,320
Speaker 1: but it's such a great app. I remember it, and

1748
01:26:35,360 --> 01:26:39,559
Speaker 1: there's other I think cost splitting apps, but everybody puts

1749
01:26:39,560 --> 01:26:41,600
Speaker 1: in what they charged. Now I like to be a

1750
01:26:41,600 --> 01:26:44,439
Speaker 1: passenger princess. I am happy for everyone else to pay

1751
01:26:44,479 --> 01:26:46,000
Speaker 1: the bills and then I will just settle up.

1752
01:26:45,960 --> 01:26:46,400
Speaker 3: At the end.

1753
01:26:47,120 --> 01:26:50,160
Speaker 1: So it was great, And you know, is it fun

1754
01:26:50,200 --> 01:26:54,160
Speaker 1: to get that bill after a vacation. No, but it's

1755
01:26:54,320 --> 01:26:58,920
Speaker 1: nice to know that, like everyone is gonna be fairly compensated.

1756
01:26:59,000 --> 01:27:02,599
Speaker 1: So in a little boost and free Pomo for split

1757
01:27:02,640 --> 01:27:05,360
Speaker 1: Wise and my friend Baron for just being that guy

1758
01:27:05,520 --> 01:27:08,960
Speaker 1: who wants to get shit done and is type A

1759
01:27:09,120 --> 01:27:12,760
Speaker 1: and likes math, because that is so not me. I

1760
01:27:12,880 --> 01:27:13,839
Speaker 1: just go for the vibes.

1761
01:27:14,280 --> 01:27:17,439
Speaker 4: M Every friend group needs a baron.

1762
01:27:18,479 --> 01:27:21,200
Speaker 1: I know you're the baron of your group, Alexa, I

1763
01:27:21,479 --> 01:27:22,080
Speaker 1: sure as hell.

1764
01:27:25,800 --> 01:27:29,639
Speaker 4: I really the older sister and me I was raised

1765
01:27:29,680 --> 01:27:32,280
Speaker 4: by a Caribbean mother. Yes, I'm gonna give you the

1766
01:27:32,320 --> 01:27:36,120
Speaker 4: executive decision of what's happening. I would also be compassionate.

1767
01:27:38,240 --> 01:27:39,560
Speaker 1: All right, who wants to go next? What are you

1768
01:27:39,560 --> 01:27:41,320
Speaker 1: gonna do? Alexa? Booster break?

1769
01:27:41,720 --> 01:27:44,880
Speaker 4: Okay, I'm doing a boost. I'm I've been so happy

1770
01:27:44,920 --> 01:27:46,640
Speaker 4: as a foo. I mean, I'm always I'm I'm a

1771
01:27:46,760 --> 01:27:50,200
Speaker 4: very happy person normally, but I've just been feeling especially

1772
01:27:51,120 --> 01:27:55,679
Speaker 4: joyful from this sublet that came very much as a surprise.

1773
01:27:55,880 --> 01:27:58,519
Speaker 4: Like my friend contacted me maybe two weeks ago and

1774
01:27:58,560 --> 01:28:00,599
Speaker 4: she was like, hey, do you the spot? I need

1775
01:28:00,640 --> 01:28:02,200
Speaker 4: you to cover my spot in New York. Like I'm

1776
01:28:02,200 --> 01:28:04,000
Speaker 4: not gonna be able to take it over yet, could

1777
01:28:04,000 --> 01:28:07,840
Speaker 4: you be my sub letter? Grow? Yes? Yes, yes, So

1778
01:28:07,960 --> 01:28:10,120
Speaker 4: I got myself on the bus, I got straight here.

1779
01:28:10,240 --> 01:28:12,519
Speaker 4: I'm all settled in, very happy about that. But I

1780
01:28:12,520 --> 01:28:15,800
Speaker 4: think especially what I'm gonna boost up right now is

1781
01:28:16,400 --> 01:28:19,000
Speaker 4: Scott's Cheap Flights, although I believe they go by a

1782
01:28:19,080 --> 01:28:22,040
Speaker 4: different name now I should search that up. But Scott's

1783
01:28:22,080 --> 01:28:24,200
Speaker 4: Cheap Flights. It's a website that tells you all the

1784
01:28:24,200 --> 01:28:28,000
Speaker 4: great like playing deals, like flight deals and whatnot.

1785
01:28:28,160 --> 01:28:30,719
Speaker 1: I haven't why had not heard of Scott's Cheap Flights before.

1786
01:28:31,760 --> 01:28:35,439
Speaker 4: It's amazing I have. I have traveled to over twenty

1787
01:28:35,479 --> 01:28:38,240
Speaker 4: countries at this point, and that is how I do it.

1788
01:28:38,280 --> 01:28:41,160
Speaker 4: Like I stay on flights and I stay on a

1789
01:28:41,280 --> 01:28:44,080
Speaker 4: I never play paid full price. I always do it

1790
01:28:44,160 --> 01:28:46,360
Speaker 4: via Scott's Cheap Flights, or I set my Google Flight

1791
01:28:46,479 --> 01:28:48,800
Speaker 4: Google Fight alerts. You know, I figure out when is

1792
01:28:48,840 --> 01:28:51,479
Speaker 4: the best time to go to certain places. But this year,

1793
01:28:51,520 --> 01:28:54,639
Speaker 4: I really, really really had a goal, have a goal

1794
01:28:54,920 --> 01:28:58,120
Speaker 4: of being able to see you know, visit as many

1795
01:28:59,479 --> 01:29:02,160
Speaker 4: like two more continents ideally, And so far we're on

1796
01:29:02,280 --> 01:29:05,320
Speaker 4: track for that. I you know, We've done Europe, we

1797
01:29:05,320 --> 01:29:09,639
Speaker 4: we did Asia, and now I'm going to Columbia next week,

1798
01:29:09,880 --> 01:29:12,160
Speaker 4: even though it's gonna be raining the whole time, that's fine.

1799
01:29:13,720 --> 01:29:16,680
Speaker 4: And then after that Australia to go see my my

1800
01:29:16,720 --> 01:29:17,360
Speaker 4: dear dear friend.

1801
01:29:17,560 --> 01:29:18,280
Speaker 1: What about Africa.

1802
01:29:18,360 --> 01:29:21,040
Speaker 4: These are the things that I I know, listen, listen,

1803
01:29:21,160 --> 01:29:23,800
Speaker 4: I'm saving I'm saving up. That's a trip where I

1804
01:29:23,800 --> 01:29:26,479
Speaker 4: want to be able to stay there for the whole month. Yeah, yeah,

1805
01:29:27,120 --> 01:29:30,080
Speaker 4: jump from you know, Nigeria to Ghana to do thele

1806
01:29:30,160 --> 01:29:31,320
Speaker 4: I want to do it all.

1807
01:29:31,360 --> 01:29:33,720
Speaker 1: I want to keep telling myself that too, are we

1808
01:29:33,840 --> 01:29:36,160
Speaker 1: overthinking it? Should we just go pick one place to

1809
01:29:36,200 --> 01:29:38,519
Speaker 1: go to and like because I'm like, damn, I'm gonna

1810
01:29:38,520 --> 01:29:41,880
Speaker 1: waiting for this like magical trip and it still hasn't

1811
01:29:41,920 --> 01:29:42,839
Speaker 1: happened for years.

1812
01:29:44,240 --> 01:29:46,760
Speaker 4: Mine is fully happening next year one hundred. Like I'm

1813
01:29:46,880 --> 01:29:48,720
Speaker 4: locked in. I just need to save I just need

1814
01:29:48,760 --> 01:29:51,639
Speaker 4: to save them because I cannot do Australia, Columbia and

1815
01:29:51,800 --> 01:29:55,519
Speaker 4: Africa in the same and in what the next two quarters.

1816
01:29:55,560 --> 01:29:59,160
Speaker 4: That's just like I'm just starting to adult.

1817
01:29:59,320 --> 01:30:01,280
Speaker 5: You're like, I'm not trying to have my own economic

1818
01:30:01,320 --> 01:30:04,000
Speaker 5: contraction to two quarters in a row.

1819
01:30:05,920 --> 01:30:08,120
Speaker 1: I will say it hurt going to London because the

1820
01:30:08,200 --> 01:30:12,639
Speaker 1: dollar is weak, y'all. Like things looked affordable. I was like, ooh,

1821
01:30:12,840 --> 01:30:17,080
Speaker 1: cocktails are only nine pounds, but that's like double if

1822
01:30:17,120 --> 01:30:18,320
Speaker 1: you're using US dollars.

1823
01:30:18,320 --> 01:30:20,240
Speaker 3: So yeah, the pound is strong.

1824
01:30:21,240 --> 01:30:25,519
Speaker 4: Yeah it's expensive over there, but yeah, what I'm boosting

1825
01:30:25,560 --> 01:30:30,040
Speaker 4: is Google flight alerts and Scotch cheap flights and really

1826
01:30:30,040 --> 01:30:31,360
Speaker 4: just saying yes to myself. I saw this.

1827
01:30:31,600 --> 01:30:33,080
Speaker 1: He's really good for international.

1828
01:30:33,240 --> 01:30:36,080
Speaker 4: Yes, yes it is. I've had like round trip flights

1829
01:30:36,080 --> 01:30:37,600
Speaker 4: of Paris for two hundred.

1830
01:30:37,720 --> 01:30:39,280
Speaker 3: Oh now it's called going dot.

1831
01:30:39,080 --> 01:30:42,439
Speaker 4: Com, Going dot com? Think you think you? Thank you?

1832
01:30:42,479 --> 01:30:46,880
Speaker 4: I recommend getting the subscription. It's very cheap, it's phenomenal.

1833
01:30:47,240 --> 01:30:50,759
Speaker 4: It's phenomenal. So I'm not being sponsored by them yet.

1834
01:30:51,200 --> 01:30:53,519
Speaker 4: I just really love their service. I've been using them

1835
01:30:53,560 --> 01:30:58,040
Speaker 4: since over seven years. Right, yes, but yeah, that is

1836
01:30:58,080 --> 01:31:00,439
Speaker 4: what I'm boosting, just saying yes to things. Usually I'd

1837
01:31:00,439 --> 01:31:02,120
Speaker 4: have to plan out the whole trip before I said yes,

1838
01:31:02,200 --> 01:31:08,160
Speaker 4: but this time I just hit pay figure it out.

1839
01:31:09,080 --> 01:31:09,799
Speaker 4: Thank you.

1840
01:31:11,200 --> 01:31:13,719
Speaker 1: Everyone. What's your Instagram? Because you post about your travels

1841
01:31:13,720 --> 01:31:14,960
Speaker 1: on IG right, I do.

1842
01:31:15,160 --> 01:31:19,400
Speaker 4: My Instagram is at moments wac like as in moment

1843
01:31:19,439 --> 01:31:24,479
Speaker 4: with Alexa Claire moments wac not moments whack got it.

1844
01:31:26,600 --> 01:31:29,439
Speaker 4: That's what my brother calls it, my little brother. He's like,

1845
01:31:29,439 --> 01:31:30,200
Speaker 4: why would you do that?

1846
01:31:30,320 --> 01:31:32,559
Speaker 1: I'm sorry, I gave a little sister energy.

1847
01:31:32,640 --> 01:31:36,519
Speaker 5: I am all right, take you.

1848
01:31:37,040 --> 01:31:38,720
Speaker 4: I was when I made it.

1849
01:31:40,880 --> 01:31:44,800
Speaker 5: Okay, I have a boost and it's riding a bicycle.

1850
01:31:45,320 --> 01:31:48,120
Speaker 5: So on an upcoming episode of Explain It to Me,

1851
01:31:48,200 --> 01:31:50,160
Speaker 5: we get a question about bike lanes, you know, why

1852
01:31:50,200 --> 01:31:51,680
Speaker 5: are some cities.

1853
01:31:51,400 --> 01:31:53,400
Speaker 3: Better about having them than others?

1854
01:31:54,280 --> 01:31:58,240
Speaker 5: And my producer Miles Brian was like, hey, yeah, let's

1855
01:31:58,240 --> 01:32:01,400
Speaker 5: do this. He's a bike guy, like your complete opposites.

1856
01:32:01,439 --> 01:32:04,400
Speaker 5: He is very very tall. I am quite short, and

1857
01:32:04,520 --> 01:32:07,439
Speaker 5: he like is a full on like bike or he's like,

1858
01:32:07,479 --> 01:32:10,080
Speaker 5: I get the span Dex going on the weekends, Like

1859
01:32:10,120 --> 01:32:11,000
Speaker 5: I got my helmet.

1860
01:32:11,040 --> 01:32:12,880
Speaker 3: I go, y'all.

1861
01:32:13,000 --> 01:32:15,280
Speaker 5: I had not gotten on a bike since twenty eighteen.

1862
01:32:15,960 --> 01:32:19,600
Speaker 5: It's true that you never forget, you know. We're like,

1863
01:32:19,640 --> 01:32:20,519
Speaker 5: we're gonna get some tape.

1864
01:32:20,520 --> 01:32:21,080
Speaker 3: I got on there.

1865
01:32:21,120 --> 01:32:23,639
Speaker 5: I was wobbly at first, but y'all, you never forget

1866
01:32:23,760 --> 01:32:24,800
Speaker 5: how to ride a bicycle.

1867
01:32:24,880 --> 01:32:26,360
Speaker 3: And once I was doing it, I was like, oh

1868
01:32:26,439 --> 01:32:28,439
Speaker 3: my gosh, I should do this more.

1869
01:32:28,880 --> 01:32:29,120
Speaker 4: Yeah.

1870
01:32:29,160 --> 01:32:32,280
Speaker 5: I downloaded the little like a bike share app, and

1871
01:32:32,400 --> 01:32:34,080
Speaker 5: I just go and I and im like I'm like,

1872
01:32:34,120 --> 01:32:35,120
Speaker 5: you know what I mean.

1873
01:32:35,200 --> 01:32:36,360
Speaker 3: I'm not like in a ooh.

1874
01:32:36,600 --> 01:32:38,200
Speaker 5: This is how I'm gonna get to work because part

1875
01:32:38,200 --> 01:32:41,519
Speaker 5: of the reason, you know, hence the bike lanes, Like

1876
01:32:41,520 --> 01:32:42,800
Speaker 5: I'm like, I'm not trying to get hit.

1877
01:32:42,720 --> 01:32:45,400
Speaker 3: By a car out here. It's it's quite spooky, but.

1878
01:32:45,439 --> 01:32:48,479
Speaker 5: You know, I'll go on a leisurely ride on the

1879
01:32:48,479 --> 01:32:51,320
Speaker 5: weekend or after work. Now, like I'm gonna, I'm gonna

1880
01:32:51,400 --> 01:32:54,120
Speaker 5: keep this muscle going. I'm gonna, I'm gonna stay with it.

1881
01:32:54,160 --> 01:32:58,120
Speaker 3: I think DC has the Capitol Bikes, right, yeah, Capitol

1882
01:32:58,120 --> 01:33:00,960
Speaker 3: Bike Share. You just download the app, go up to it,

1883
01:33:01,080 --> 01:33:03,160
Speaker 3: and then you about you.

1884
01:33:03,200 --> 01:33:03,920
Speaker 4: Just go about it.

1885
01:33:04,120 --> 01:33:05,440
Speaker 1: It's sounds like an ex bikes.

1886
01:33:05,520 --> 01:33:07,680
Speaker 5: I have not done the e bikes. Apparently they go

1887
01:33:07,760 --> 01:33:12,240
Speaker 5: like super fast. But oh yeah, really I busted my

1888
01:33:12,360 --> 01:33:15,680
Speaker 5: booty on yeah, that's why. That's why I have not

1889
01:33:15,720 --> 01:33:17,559
Speaker 5: done the e bike. But I'm like, okay, I'm gonna

1890
01:33:17,560 --> 01:33:20,439
Speaker 5: get my sea legs. Maybe maybe one day y'all will

1891
01:33:20,439 --> 01:33:23,760
Speaker 5: find me down, you know, on the National Mall going

1892
01:33:23,760 --> 01:33:25,880
Speaker 5: on a leisurely ride with my friends.

1893
01:33:26,360 --> 01:33:30,120
Speaker 3: You're gonna have to bring that back. Touching grass, you know, yeah,

1894
01:33:30,160 --> 01:33:31,320
Speaker 3: you touch a grass.

1895
01:33:31,320 --> 01:33:35,320
Speaker 4: Oh frolic this summer. Yes, something brings me so much

1896
01:33:35,400 --> 01:33:37,519
Speaker 4: joy about seeing a black woman on a bike. Every

1897
01:33:37,520 --> 01:33:39,240
Speaker 4: time I see it, I'm like, yes, i feel like

1898
01:33:39,240 --> 01:33:40,840
Speaker 4: I'm getting my care. I just love it.

1899
01:33:40,840 --> 01:33:42,720
Speaker 5: I feel like I'm getting my care in Bailey ray On.

1900
01:33:43,040 --> 01:33:46,320
Speaker 5: So I'm like, so, if y'all want to hear me,

1901
01:33:47,080 --> 01:33:49,519
Speaker 5: struggle and then not struggle on a bike. Listen to

1902
01:33:49,560 --> 01:33:53,160
Speaker 5: this week's episode of Explain It to Me, because it's

1903
01:33:53,240 --> 01:33:54,200
Speaker 5: it's quite a ride.

1904
01:33:54,800 --> 01:33:56,840
Speaker 1: I used to have a bike blog back in the

1905
01:33:57,000 --> 01:33:58,640
Speaker 1: when I first moved to New York and I bi

1906
01:33:58,800 --> 01:34:01,120
Speaker 1: I blogged about biking in New York and I was

1907
01:34:02,120 --> 01:34:05,000
Speaker 1: such a dork about it. But it is instant and dorphin,

1908
01:34:05,120 --> 01:34:06,800
Speaker 1: so I'm very excited to listen to that.

1909
01:34:07,479 --> 01:34:08,400
Speaker 3: Yeah.

1910
01:34:09,200 --> 01:34:12,200
Speaker 1: All right, y'all. Well that's it for the Brown Table.

1911
01:34:12,400 --> 01:34:14,719
Speaker 1: Thank y'all both so much for joining me, and thank

1912
01:34:14,760 --> 01:34:17,400
Speaker 1: you also to Eve Saint Louis. I keep wanting to

1913
01:34:17,400 --> 01:34:19,920
Speaker 1: say Eve Saint Laurent, but that's not at all her name,

1914
01:34:20,720 --> 01:34:25,840
Speaker 1: Eve Saint Louis from Blavity for joining us. We have

1915
01:34:25,880 --> 01:34:29,719
Speaker 1: Alexa Claire go check her out at the Financial Diet.

1916
01:34:30,439 --> 01:34:34,760
Speaker 1: And your Instagram again is moments whack wac going with it.

1917
01:34:37,160 --> 01:34:37,360
Speaker 4: JQ.

1918
01:34:37,560 --> 01:34:39,920
Speaker 1: Where can the people find you, ma'am?

1919
01:34:39,960 --> 01:34:42,840
Speaker 5: You can find me in your podcast feed if you

1920
01:34:42,920 --> 01:34:45,160
Speaker 5: type and explain it to me, and then on social media,

1921
01:34:45,560 --> 01:34:48,519
Speaker 5: I'm Jacque Hill everywhere I feel like being found.

1922
01:34:49,640 --> 01:34:50,160
Speaker 4: Amazing.

1923
01:34:50,320 --> 01:34:52,400
Speaker 1: All right, thank y'all, please come back again to the

1924
01:34:52,439 --> 01:34:55,880
Speaker 1: Brown Table, of course, and y'all be a fan. You're

1925
01:34:55,880 --> 01:34:59,120
Speaker 1: going to hear from Alexa and Jaq again this Friday

1926
01:34:59,120 --> 01:35:01,639
Speaker 1: because they're sticking so much for listening to this week's

1927
01:35:02,120 --> 01:35:04,360
Speaker 1: I want to shout out to our production teach take

1928
01:35:04,400 --> 01:35:08,960
Speaker 1: Care Courtney, our editor, Carla, our fearless leader for idea

1929
01:35:09,040 --> 01:35:12,680
Speaker 1: to launch productions. I want to shout out my assistant

1930
01:35:12,800 --> 01:35:16,880
Speaker 1: Lauda Escalante and Cameron McNair for helping me put the

1931
01:35:16,920 --> 01:35:20,559
Speaker 1: show together. It is not a one person project, as

1932
01:35:20,640 --> 01:35:22,840
Speaker 1: much as I have tried to make it so these

1933
01:35:22,920 --> 01:35:26,639
Speaker 1: past ten years, I need help, y'all, and thank goodness

1934
01:35:26,720 --> 01:35:28,840
Speaker 1: I've been able to put this team around me to

1935
01:35:28,920 --> 01:35:31,479
Speaker 1: support me on this journey and to y'all be a

1936
01:35:31,640 --> 01:35:32,559
Speaker 1: fam I love you.

1937
01:35:32,600 --> 01:35:34,120
Speaker 3: So, so so so much.

1938
01:35:34,760 --> 01:35:37,280
Speaker 1: Please rate, review, subscribe, Make sure you sign up to

1939
01:35:37,320 --> 01:35:40,920
Speaker 1: the newsletter to get all the latest updates on upcoming episodes,

1940
01:35:41,000 --> 01:35:46,160
Speaker 1: our tenth year anniversary celebrations to come, and until next time,

1941
01:35:46,520 --> 01:35:52,280
Speaker 1: talk to you soon via buye