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Speaker 1: Hello, Internet, and welcome to season ninety six, episode three

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Speaker 1: of The Dilly z Your's dailys Eykeeist. However you want

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Speaker 1: to say it, it's a production of My Heart Radio

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Speaker 1: and you already know what it is. It's podcast. We

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Speaker 1: Uh just look America dead in its side and say

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Speaker 1: what is going on in there? Uh? And look off

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Speaker 1: the rim. We like to say, fund Coke Industries and

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Speaker 1: fuck Fox News. It's Wednesday, August one, nineteen. My name

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Speaker 1: is Myles Gray a K. Florence. Oh you simply most

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Speaker 1: visit Tuscany. Jack have you been? If you should go,

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Speaker 1: you should go learn to speak Italiano. Who look, I

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Speaker 1: was asking for Vogue case and y'all are delivering. Uh.

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Speaker 1: That's one of my favorite and Vogue tracks of the set.

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Speaker 1: It off the soundtrack and I have many more of those,

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Speaker 1: trust me. I see all y'all with those those are

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Speaker 1: getting in the show. And that a Ka comes to

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Speaker 1: us from who I mean, she is the goat at

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Speaker 1: Pink Politic, So shout out to you for that and

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Speaker 1: inspired a k A. Now, if I'm talking, that means

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Speaker 1: Jackson here. That means the substitute who smells like weed

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Speaker 1: is teaching the class today. And he brings along his

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Speaker 1: very good friend, a special guest host, one that all

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Speaker 1: of you listeners have grown to love and respect, one

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Speaker 1: of the faces on Mountain Zitemore. I am very honored

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Speaker 1: to introduce to you our guest host. This scam got

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Speaker 1: us yourself, Miss Lacey Mostly. Hey, guys, it's lazy mostly

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Speaker 1: a K A scam gottess a k A goo bn mo.

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Speaker 1: So I want this. I'm a scammer, baby, so why chap?

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Speaker 1: And that is for Ruthy Fudge. Thank you, Ruthie fun

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Speaker 1: That's basically I'm a loser baby. Yeah, it's all about Ben,

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Speaker 1: but also the people didn't know your brand. We're talking

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Speaker 1: about scamming people on the Yeah. Um, and we are

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Speaker 1: honored to having our third seed one of my favorite

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Speaker 1: guests's actually personally to have on the show. Very talented,

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Speaker 1: standard median, podcaster, sports, the fucking genius. Uh please, welcome

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Speaker 1: to the show. Aaron Foley. How are you? I don't

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Speaker 1: have a song. It's okay, some people don't need songs.

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Speaker 1: I could scat, but then everybody would lose interest. Do

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Speaker 1: you are you? Big jazz vocalists just in the off season? Yeah,

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Speaker 1: you go to the baked potato. You might get you

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Speaker 1: doing a set over there. The sultry sounds of Aaron

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Speaker 1: Foley stupid. Does anybody here travel We're do some crowd

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Speaker 1: work whilst something. Um, well, Aaron, we're gonna get to

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Speaker 1: know you even better. But first we're gonna let people

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Speaker 1: know what we're gonna talk about today. You know, since

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Speaker 1: Lacey's on, we gotta talk. There's always people maybe scamming,

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Speaker 1: maybe not scamming, maybe they're getting scammed, but we always

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Speaker 1: like to look at certain stories and understand what's what's

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Speaker 1: really going on. First up is someone who works for

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Speaker 1: Robert de Niro who's being sued for six million dollars

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Speaker 1: for basically time wasting professionally, but in a way that

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Speaker 1: I feel deserves everyone's respect. Um. Then we'll obviously gonna

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Speaker 1: have to talk about Trump and the presidential race and

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Speaker 1: all that, because that's the world we live in. Uh.

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Speaker 1: Some other news in the state of California. Some more scams,

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Speaker 1: and I wanted to check in with the bagel boss

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Speaker 1: guy because it's been about fifteen minutes and you want

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Speaker 1: to make sure that that the laws of fifteen minutes

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Speaker 1: have been abided by or two Uh, so we will

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Speaker 1: check in. I have I did some sleuthing last night

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Speaker 1: and boy, uh we've got some some updates for you

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Speaker 1: and Mr Bagel boss guy. But first, Aaron, what is

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Speaker 1: some thing from your search history that is revealing about

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Speaker 1: who you are? Uh? This is gonna be a shocker.

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Speaker 1: Not for you because you know me, but um. I

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Speaker 1: googled a picture image of the five US women's national

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Speaker 1: team because I was recording a podcast with one of

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Speaker 1: the goalies on This is the first ever women's national team,

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Speaker 1: which was formed in when there was no US women's

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Speaker 1: national team, and these women were just fierce, like pioneers

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Speaker 1: and they went over to Italy for the first time.

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Speaker 1: That was the first time the US played any international

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Speaker 1: games ever and we all take this for granted, which

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Speaker 1: laid the groundwork for the first World Cup. So I

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Speaker 1: had to get an image of the team for this. Uh,

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Speaker 1: it was really cool. Then of course it sets you

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Speaker 1: down like big sport wormholes for anyone. How did they

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Speaker 1: look in the photo? Like? What do their jerseys look

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Speaker 1: like that they look like very kind of like up

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Speaker 1: and coming? Did they look legit? Well, the crazy story

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Speaker 1: behind the jerseys is when they got picked from Uh, whatever,

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Speaker 1: long story short, they had a two week prep in

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Speaker 1: New York and they sewed us a patches on old

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Speaker 1: men's jerseys and got paid ten dollars a day. Isn't

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Speaker 1: that crazy? And how many games did they play in Italy?

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Speaker 1: They played? I think they played four? Yeah, I didn't

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Speaker 1: win any um. I think they won one, lost three

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Speaker 1: or tied and but but it was Yeah, that was

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Speaker 1: isn't that crazy? They went to just solo Italy. Yeah,

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Speaker 1: lost in Italy, tied Denmark, lost to England, lost to Denmark. Yeah,

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Speaker 1: it was one tie in three. But that was That

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Speaker 1: was the original team. And it was just a lot

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Speaker 1: of collegiate players collegia pretty much all collegiate players. There

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Speaker 1: were some club activity, but it was pretty much the

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Speaker 1: best of the best. They did it by region by

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Speaker 1: like North, South, East, and West, and I bet you

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Speaker 1: they probably couldn't even recruit the best of the best though,

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Speaker 1: with that kind of time frame and trying to do

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Speaker 1: like the entire country. Like I could have probably got

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Speaker 1: on that team if you showed up that probably so

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Speaker 1: I'm gonna say maybe the first one I could have

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Speaker 1: probably been right. What you would have to do is

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Speaker 1: pull up with a lot of confidence, like I'm hurt

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Speaker 1: right now, but right yeah, yeah, give me some of

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Speaker 1: them patches to so on, I'm gonna some of these patches.

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Speaker 1: Why you've been lef back. But then I'm gonna get

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Speaker 1: in this. I'm gonna get in this. Yeah, I'm pay less.

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Speaker 1: But as soon as we get over and I'm like looking,

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Speaker 1: I'm gonna be in gelato. But I'm still tricking, still tricky.

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Speaker 1: I'm gonna sit back, take another bath. Yeah. Some of

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Speaker 1: the players went on to be like Michelle Acres was

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Speaker 1: on the team, which you can still argue the greatest

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Speaker 1: player of all time. So it was legit maybe not

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Speaker 1: your lovel Lacy, but it was legit professional right right right, um,

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Speaker 1: Carla overback. I mean some of these now we're like

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Speaker 1: the greatest players of all time and Lacy Jason, yeah exactly.

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Speaker 1: That's and you met one of the goalkeepers said, yeah,

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Speaker 1: I randomly went to a game a couple of months

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Speaker 1: ago and there was a big celebration. They're playing at

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Speaker 1: the l A f C Stadium. Yeah, it's it's such

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Speaker 1: a gorgeous stadium. Awesome, And they had a ninth like

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Speaker 1: a ninety niner and U s WiM's national team celebration

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Speaker 1: at the bar we were at before the game upstairs,

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Speaker 1: and I snuck into too long of a story, I love,

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Speaker 1: I sneak snuck in here and I met this woman,

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Speaker 1: Ruth Harker, who was the backup goalkeeper on and she

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Speaker 1: gave me her bracelet, and then we kept throwing bracelets

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Speaker 1: down and I got all my friends up and it

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Speaker 1: turned into a drunken night of me screaming. And you

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Speaker 1: did the thing where you got the one bracelet Jesus

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Speaker 1: turn one b into Oh yeah, that's how it works. Now. Wait,

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Speaker 1: did they think you were a soccer player because you're like, yeah,

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Speaker 1: we're the wrestle of it. I was on the night five.

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Speaker 1: You could google it the photo Greenies fun. Yeah. I was, um,

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Speaker 1: you know, I know I didn't play at that level,

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Speaker 1: but I do. I knew a bunch of people because

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Speaker 1: I do a sports podcast where I interview female athletes,

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Speaker 1: So I was kind of like I knew I knew

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Speaker 1: enough people to to work it, but full on drop

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Speaker 1: bracelets from all these professionals for my drunken friends. It

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Speaker 1: was a great was a great night of my life.

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Speaker 1: Love a free bar too, Yeah, what's something that's overrated. Um,

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Speaker 1: this is gonna spark controversy, but it's not that bad

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Speaker 1: getting rid of plastic straws. I get rid of all plastic,

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Speaker 1: then don't take my straws away. Just just I will

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Speaker 1: bring my own glass and I keep there you go.

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Speaker 1: I will literally I will recycle everything. But there you go.

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Speaker 1: I mean, you don't have to whisper. I'm on your

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Speaker 1: same team. I personally that turtle really fucked up the

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Speaker 1: pr It was one and now we got to act

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Speaker 1: like every turtle out here swimming and getting the straw.

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Speaker 1: This No, there's some bullshit also, like if you open

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Speaker 1: any Apple products, you have to cut through nineties boxes

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Speaker 1: to get in plastic, and then you talk to Steve

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Speaker 1: Jobs himself to get through the phone. So like, why

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Speaker 1: can't we get rid of all of this single it's

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Speaker 1: not even single use plastic when you're talking about packaging.

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Speaker 1: It's just shipped to make your ship look nice. But

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Speaker 1: I can't have straw this big plastic energy in the building.

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Speaker 1: That's just big paper. It's the same ship where you

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Speaker 1: know it's Unfortunately, it's one of those problems that rather

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Speaker 1: at the industrial level, they're passing that problem down to

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Speaker 1: the consumer and you're like, you know, it's actually and

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Speaker 1: then the attitude you get when you ask for a straw.

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Speaker 1: You're looking for a straw, and the people behind the

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Speaker 1: counter and I'm like, okay, listen, it's a bigger problem.

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Speaker 1: I will, I will not use anything, but like you know,

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Speaker 1: and then they look at you like you're a can

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Speaker 1: I where yeah, fucking douche from all hell because Nancy

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Speaker 1: behind that straw, I just had too much coldbrew and

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Speaker 1: gave me more. And now I'm screaming. I'm screaming. I've

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Speaker 1: never said it before. It's a tough It's a tough

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Speaker 1: thing because you know, on one hand, I agree with

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Speaker 1: obviously when you look at like the gyre in the

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Speaker 1: Pacific Ocean and things like, they're like goddamn it. But

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Speaker 1: then I'm like, okay, fine, I will, I will bring

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Speaker 1: my own bags to the store, like I'm cutting down

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Speaker 1: on my ship that way. But the fuck y'all have

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Speaker 1: not figured out this paper straw you have or the

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Speaker 1: metal where I'm like, am I at the dentist, can

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Speaker 1: I just can I please have a straw? It just

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Speaker 1: it hits my teeth and I go, oh god, it's

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Speaker 1: like nails on chalkboard, the paper dissolves into your mouth,

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Speaker 1: then you choke and you almost die. And then the

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Speaker 1: ones without the straw. I'm like, who's gonna play pay

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Speaker 1: my dry cleaning bill? Because I dump it all over? Mate.

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Speaker 1: This is a real problem. First of all, I think

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Speaker 1: we just need better, Like, yeah, you know, like I've

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Speaker 1: I could see you, Aaron having like your own straw,

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Speaker 1: like one that you use all the time. Would you

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Speaker 1: do that if it wasn't you know, metal, or you like,

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Speaker 1: if I have to, I can reuse my straw, you know,

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Speaker 1: like figure it out. Remember how like back in the nineties,

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Speaker 1: every promotional item was a water bottle with a thick astraw,

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Speaker 1: Like that straw from that water bottle? Could you rock

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Speaker 1: that infinitely? Maybe completely? So we'll find we're finding the

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Speaker 1: middle ground, you know. I mean I don't want to,

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Speaker 1: like I wanted to say almost say no. It's because

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Speaker 1: I know there's somebody behind this straw ship and it

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Speaker 1: ain't the goddamn environment because Americaine never been this thoughtful

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Speaker 1: about ship. Okay, it's the reason why. I literally plastic

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Speaker 1: is everywhere, but except for straws, Like who is big paper?

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Speaker 1: Who's behind this, who's making the coin off this straw?

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Speaker 1: I'm tired of sucking limp straw. Wow we are now,

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Speaker 1: and I like you. As soon as you said the

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Speaker 1: bracelet thing, I said, oh, yes, a scammer, Yeah, I

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Speaker 1: love my love is well. You know, one person might

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Speaker 1: say scammer, another person might say someone with infinite generosity.

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Speaker 1: I mean, I have a huge plastic straws exactly, and

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Speaker 1: you want your friends to join it on the phone

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Speaker 1: with Obviously, turtles live for a long time, and we

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Speaker 1: need to bring that turtle back out. I want to

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Speaker 1: see that turtle and has recovering. I mean I see

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Speaker 1: more agents with straws in their nose at parties than

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Speaker 1: I do turtle. So many coked up turtles I can't

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Speaker 1: even know. I will say most people who are doing

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Speaker 1: cocaine do do it environmentally soundly, with either a classy

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Speaker 1: cocaine spoon or their keys or your podcast movement Lanyard

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Speaker 1: in Orlando. Yeah, yea, y'all for the record, that was

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Speaker 1: a joke for y'all who take everything people say on

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Speaker 1: this microphone for real? So healthy and it's actually straight edge.

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Speaker 1: What y'all don't know? She has the ex's tattooed on

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Speaker 1: her hands and we photo shop that out in every photo. Aaron,

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Speaker 1: what's the things underrated? Um? Being, still, stopping, sitting, stillness.

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Speaker 1: I think our society is like, keep going, go, what

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Speaker 1: are you doing? Me? Busy? How busy are you? You're

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Speaker 1: not busy enough? And that's why you have to be like,

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Speaker 1: how's it going? Oh I'm really I got that. And

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Speaker 1: then you're like, no, how is that valued? Right? Stop?

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Speaker 1: Well yeah, we're so, we're made to be. We've all

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Speaker 1: had to co modify our existence in this era where

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Speaker 1: it's like, well, if you're not doing it, what, like,

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Speaker 1: what's going on? How have you introduced stillness into your life?

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Speaker 1: I've stopped. Great, I've retired. I love it. This is

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Speaker 1: this is it? This is the last book. Yeah, this

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Speaker 1: is it. Huh. I've actually just canceled my three You

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Speaker 1: didn't write this book. I just stop called. I just stopped.

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Speaker 1: I forced myself. Now, my my girlfriend, she's the greatest

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Speaker 1: to've been big on the planet, and she forces me

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Speaker 1: to stop. And then now I've just been like, this

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Speaker 1: is ridiculous. I keep doing the same thing. I keep

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Speaker 1: going until like my back blows out. What's your pattern?

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Speaker 1: Like specifically, I literally don't stop until I'm physically injured.

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Speaker 1: I just keep working. I do shows, you do that, podcast, travel,

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Speaker 1: I I just and then there's no And then when

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Speaker 1: I when I do start incorporating more just literally sitting

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Speaker 1: and stopping, I feel a hundred times better and everything

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Speaker 1: is better. How do you so, what do you do? Like?

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Speaker 1: What would you just sit down? You watch something? Sometimes? Nit?

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Speaker 1: Oh so much knitting while I'm doing blow up though

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Speaker 1: discard um No. I I've been trying to do more

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Speaker 1: meditating or literally just sitting in a chair just for

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Speaker 1: like five ten minutes. I do watch a lot of sports,

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Speaker 1: which I find very comforting because I'm just sitting and

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Speaker 1: meditative when I'm not screaming. Um. But yeah, just honestly

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Speaker 1: just talking to myself, just being like slow down. Sometimes

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Speaker 1: I just take like I just go just let him

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Speaker 1: and I just sit there for a step, or tell yourself,

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Speaker 1: Like I've had to work up my own my own

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Speaker 1: self talk a lot because part of me used to

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Speaker 1: just flog myself into doing things and just be like

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Speaker 1: what the fund is wrong with? You? Get to get

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Speaker 1: the funk out there and to be more like hey, man,

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Speaker 1: like being like that cool high school counselor you do

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Speaker 1: being nicer to you, Yeah, just being kind of like

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Speaker 1: the highest life expectancy in the US is people in Mississippi.

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Speaker 1: And I think it's simply because they just like they've

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Speaker 1: given us slower. It is. Yeah, people in Mississippi with

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Speaker 1: the longest they don't have the best education, right. But

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Speaker 1: it made me think, like yo, like I definitely think,

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Speaker 1: especially on my Instagram, like I'm constantly moving and going places,

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Speaker 1: but people don't know this. I shut myself up in

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Speaker 1: my house like an eighteenth century pregnant woman on bed rest.

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Speaker 1: At least once a week, I closed all the curtains

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Speaker 1: and I just lay there and watch TV. Oh God,

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Speaker 1: And that's how I get. I huff my ether rag

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Speaker 1: and everything is fine. And that's what I call selfcare.

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Speaker 1: I love that man, eighteen century pregnant woman. Selfcare. My

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Speaker 1: middle name fainting couch. You have atch exactly and erin

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Speaker 1: what's a myth? What's something you know? People just get wrong?

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Speaker 1: You just want to bring the truth out that clutter

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Speaker 1: is the anti Christ. Thank you, go on were I've

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Speaker 1: been clutter by entire life and listen, I know well

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Speaker 1: organized clean, Yes, you can think better. Yeah, I get it,

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Speaker 1: but I think some clutter is good. It's good for

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Speaker 1: my brain character. Yeah, I just I don't now. It

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Speaker 1: just feels like everything has to be in the exact

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Speaker 1: right spot. Everything has to be it doesn't sparked. Yeah,

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Speaker 1: other stuff happens sparks joy. Yes, yes, a photo of

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Speaker 1: me doing something stupid thirty years ago. I'm going to

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Speaker 1: keep it. I don't know. I just I feel like

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Speaker 1: now it's just becoming ridiculous. And sometimes my desk is

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Speaker 1: really messy and I love it. Right, I'm like, oh, yes,

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Speaker 1: this promotional lighter that ran out of lighter fuel that

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Speaker 1: does spark joy, and I will keep that there, so

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Speaker 1: do not move it. I don't think. I think we're overthinking. Also,

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Speaker 1: sometimes because I am very much like now in this

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Speaker 1: organization kick, I have a cleaning man and he is

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Speaker 1: very aggressive. If you saw my Instagram stories, like, he'll

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Speaker 1: text me and be like, hey, Lacy, do you need cleaning?

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Speaker 1: And if I don't respond, he's like, hello, cleaning this

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Speaker 1: week or not? He is very and then I apologize

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Speaker 1: to him. It's like a little bit abusive, but I

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Speaker 1: do like he comes and cleans my house and then

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Speaker 1: I feel this. I think I have to maintain it

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Speaker 1: for as long as possible. But now I'm losing ship

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Speaker 1: because my brain goes like, oh, I know where I

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Speaker 1: saw my tweezers there on the ground under my bed,

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Speaker 1: next to my char but now I'm putting them away,

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Speaker 1: So now I'm like, what the funk are they? I

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Speaker 1: lost him for two weeks until I went into my

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Speaker 1: bathroom and went to the place where they should be,

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Speaker 1: and that's where they were, and I was like, we

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Speaker 1: are best friend. I can find my stuff. It doesn't

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Speaker 1: look like I can find it, but I can find

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Speaker 1: where everything is on my floor. Yes, And I sort

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Speaker 1: of absorbed that from my dad, who, like in his

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Speaker 1: art studio is so fucking messy, and I'm almost like,

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Speaker 1: I don't know how he does it. He's something's wrong

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Speaker 1: with him. And I was always like he was just

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Speaker 1: like I know where everything is, and then I sort

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Speaker 1: of I also have that same habit, and I'm like, well,

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Speaker 1: I know everything is. And Sophie Lectraman, who works in

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Speaker 1: this office, is constantly trying to be like, don't you

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Speaker 1: want to like decletter your desk? And I'm like, what's

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Speaker 1: wrong with it? No, everything is fine, these old times,

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Speaker 1: these old people magazines from three years ago. I need those.

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Speaker 1: They're they helped balance out my inner You'd be like, damn,

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Speaker 1: I need it as soon as I know. Sometimes when

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Speaker 1: I throw, I guess because I sketch acting. Not magazines, magazines,

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Speaker 1: one magazine especially not people. Yeah sorry, we're more okay people. Yeah.

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Speaker 1: Um well, you know that's good to know. I think

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Speaker 1: clutter is fine, and you know, some people, I get it.

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Speaker 1: Some people just need to be organized for their own

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Speaker 1: like sanity and look, do you we're all just trying

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Speaker 1: to five. Yeah, we just have different methods and I

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Speaker 1: just don't want to be shamed. That's that's really what

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Speaker 1: it is. Like. I agree, less clutter is good, but

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Speaker 1: also some clutter. You know, sometimes you go into a

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Speaker 1: person's house and you're like, where are the dead bodies?

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Speaker 1: This is so clean and ridiculous. You can't assess someone's

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Speaker 1: worth off of their class. I would say that is

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Speaker 1: the kind of man I like to date. Though, if

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Speaker 1: I'd go in your house and I'm like, maybe you

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Speaker 1: got a bit just chopped up in the freezer, like

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Speaker 1: that's how clean you are? WHOA, that's a good thing.

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Speaker 1: I once went into a guy's house and he went away. Um,

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Speaker 1: story this jar of money. I kid you not. He

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Speaker 1: had this jar of money in the kitchen that was

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Speaker 1: just like fifties, twenties hundreds and it was a seat

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Speaker 1: through glass jar. And then where he came back out

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Speaker 1: and I was like, Yo, what the fund do you

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Speaker 1: have this seat through glass jar money in your kitchen?

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Speaker 1: Very specific way did the sea through glass jar? And

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Speaker 1: he goes, oh, I got all of those bills off

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Speaker 1: of a movie set. They're fake, but I leave them

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Speaker 1: there to see who will steal from me and who won't.

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Speaker 1: And you're like, end of day. Yeah. I was like, oh,

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Speaker 1: you are a murderer, walked into a sociological experiment, straight

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Speaker 1: up murder. Why are you looking at my kneecaps for sale?

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Speaker 1: This isn't right, John. Um, Well, let's talk about somebody

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Speaker 1: else who saw a see through jar of money. Uh

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Speaker 1: and x I guess head of vice president production for

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Speaker 1: one of Roberts's companies. Uh. This woman named Chase Robinson

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Speaker 1: being sued for fucking six million dollars because she was

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Speaker 1: quote spending astronomical amounts of time watching Netflix and other

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Speaker 1: various forms of time wasting. And I'm just gonna read

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Speaker 1: you this, this snippet from Variety, because it's it just

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Speaker 1: tells you everything you need to know about this wonderful employee.

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Speaker 1: The company says she rarely came into the office and

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Speaker 1: alleges she spent quote astronomical amounts of time watching Netflix

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Speaker 1: during work hours. The company alleges that during a four

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Speaker 1: day period in January, she watched fifty five episodes of Friends.

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Speaker 1: On one of those days, she ordered lunch from Caviare

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Speaker 1: San Francisco and had dinner at Paula's Restaurant, charging both

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Speaker 1: meals on the company card. Over another four day period

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Speaker 1: in March, she allegedly watched twenty episodes of Arrested Development

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Speaker 1: and ten episodes of Ship's Creek. I mean, so far,

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Speaker 1: look it sounds like she's taking care of herself. She

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Speaker 1: likes to laugh. This is a reboot culture, and I

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Speaker 1: was only watchings of Friends because I'm trying to make

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Speaker 1: France with Robert de Niro, right, but the Niro's France.

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Speaker 1: This is what I'm thinking, Robert, you are Chandler being ya.

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Speaker 1: How do you feel about How do you feel about that?

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Speaker 1: I don't know. There's a lot going on with apparently

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Speaker 1: she was constantly there was a lot of rumors about

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Speaker 1: her that she was like involved in corporate sabotages, the

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00:21:55,880 --> 00:21:57,480
Speaker 1: word they used in this Variety article. I don't know

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Speaker 1: exactly what that means, but when you go on this

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Speaker 1: is what they say. According to the company, they say

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Speaker 1: watching shows on Netflix was not in any way part

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Speaker 1: of or related to the duties and responsibilities of her employment.

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Speaker 1: Um on information and belief was done for her personal entertainment, amusement,

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Speaker 1: and pleasure at times when she was being paid to work.

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Speaker 1: Is with the pseudo alleges, and it also alleges that

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Speaker 1: Robinson made twelve thousand, like hundred ninety six dollars and

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Speaker 1: unauthorized charges at Paula's over a two year period, in

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Speaker 1: addition to eights at Dean and de Luca and Whole

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Speaker 1: Foods and thirty two thousand dollars for uber rides and taxis.

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Speaker 1: Thirty two thousand dollars for uber rides and taxis my

401
00:22:36,520 --> 00:22:41,119
Speaker 1: goas this was going on road trips. I mean it

402
00:22:41,160 --> 00:22:45,280
Speaker 1: sounds like losing in the fitbit pool unless she also

403
00:22:45,320 --> 00:22:47,040
Speaker 1: had a scamble she put in the dryer and just

404
00:22:47,119 --> 00:22:49,359
Speaker 1: let it. Getting those steps like that way. I have

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Speaker 1: a question, why why wasn't she fired on week one?

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Speaker 1: How is this if you're if you're a word, if

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Speaker 1: you're if you're at a job right and I'm oh,

408
00:23:00,119 --> 00:23:03,040
Speaker 1: is going to cheer for the worker to to extort

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Speaker 1: as much money off Corporate Americas salary was three hundred

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Speaker 1: thousand dollars. That's what her salary. So I don't understand.

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Speaker 1: There's where is the oversight If someone comes in and

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Speaker 1: you're watching, they've documented all the netflix, But she wasn't fired.

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Speaker 1: I'm sorry, that's on them. She started as an assistant

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Speaker 1: to DeNiro in two thousand and eight and then was

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Speaker 1: promoted to vice president of products of production and finance.

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Speaker 1: But that's probably more in the production side. I have

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Speaker 1: a feeling, right if you look. I know people who

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Speaker 1: have funked around it and buzzled money at companies. They

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Speaker 1: don't catch on until, like they start realizing there's abnormalities

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Speaker 1: because there's typically they're like, oh, that person is on

421
00:23:40,040 --> 00:23:42,479
Speaker 1: the level. And then when you start being like, hold on, man,

422
00:23:42,520 --> 00:23:45,320
Speaker 1: money is going weird places, and then you started analyzing ship,

423
00:23:45,400 --> 00:23:47,199
Speaker 1: that's when people start putting it together. You have a

424
00:23:47,200 --> 00:23:49,440
Speaker 1: little bit of a window to funk around. I find

425
00:23:49,480 --> 00:23:54,440
Speaker 1: this so ridiculous, like productivity and finance. She's the most

426
00:23:54,480 --> 00:23:58,640
Speaker 1: unproductive person and she's spending them, spending all the money,

427
00:23:58,680 --> 00:24:02,120
Speaker 1: But where is the who's in charge. That's like she's

428
00:24:02,119 --> 00:24:04,199
Speaker 1: doing the anti job, Like if someone hired you to

429
00:24:04,200 --> 00:24:06,760
Speaker 1: be a security guy, but instead you just stole everything,

430
00:24:07,640 --> 00:24:10,400
Speaker 1: Like we had you to protect our merchant. You're stealing it. No,

431
00:24:10,680 --> 00:24:14,439
Speaker 1: I'm redistributing it to my home. But what I love

432
00:24:14,440 --> 00:24:16,520
Speaker 1: about this is that you say she started as an assistant,

433
00:24:16,560 --> 00:24:18,400
Speaker 1: because to me, that says that she's probably a real

434
00:24:18,400 --> 00:24:20,159
Speaker 1: scammer who learned the ins and outs. Like when you

435
00:24:20,200 --> 00:24:22,359
Speaker 1: start on a lower level, you start noticing where the

436
00:24:22,400 --> 00:24:25,560
Speaker 1: holes are, like much easier. So like, oh, Robert, don't

437
00:24:25,560 --> 00:24:27,720
Speaker 1: even be looking at these files and looking at these

438
00:24:27,720 --> 00:24:30,720
Speaker 1: files every week? Or she's also and the person that

439
00:24:30,800 --> 00:24:33,080
Speaker 1: does I know she's getting sucked up on her job anyway,

440
00:24:33,119 --> 00:24:35,199
Speaker 1: So she says, someone telling Robert that she's funked up

441
00:24:35,240 --> 00:24:38,000
Speaker 1: on Zanex all day. But how do you the documentation,

442
00:24:38,119 --> 00:24:44,400
Speaker 1: the specificity of sixty nine episodes of like someone had

443
00:24:44,480 --> 00:24:47,800
Speaker 1: to document that. You can't just pull that out of

444
00:24:47,800 --> 00:24:52,040
Speaker 1: your ass, that information. Maybe she had a company computer Netflix,

445
00:24:52,080 --> 00:24:54,800
Speaker 1: I guess, But that's I'm interesting, like where you get

446
00:24:54,840 --> 00:24:57,320
Speaker 1: those analytics? Because can you check your Netflix? She was

447
00:24:57,359 --> 00:24:59,399
Speaker 1: on de Nero's log in and she must have been

448
00:24:59,440 --> 00:25:02,000
Speaker 1: on someone Yeah, I mean like a true scamera, but

449
00:25:02,119 --> 00:25:05,000
Speaker 1: like I'm curious how you even get that information. It's

450
00:25:05,040 --> 00:25:10,360
Speaker 1: kind of like the Greatest Employees story and like the

451
00:25:10,480 --> 00:25:14,320
Speaker 1: and and like I don't know. I always think the

452
00:25:14,359 --> 00:25:17,720
Speaker 1: greatest way to end a job was that flight attendant

453
00:25:17,720 --> 00:25:21,640
Speaker 1: at jet Blue when he pulled the thing went out

454
00:25:21,640 --> 00:25:24,240
Speaker 1: the emergency slide with a six pack. To me, that's

455
00:25:24,280 --> 00:25:28,560
Speaker 1: the greatest working mayom story of all time. This one

456
00:25:28,960 --> 00:25:31,880
Speaker 1: is second place. This is pretty good. The other part,

457
00:25:32,000 --> 00:25:37,240
Speaker 1: what about the resignation? So she is allowed to resign

458
00:25:37,320 --> 00:25:39,879
Speaker 1: for some reason, Like they don't they're not even like

459
00:25:40,000 --> 00:25:42,000
Speaker 1: firing her. I feel like, if you're stealing, like this

460
00:25:42,119 --> 00:25:43,840
Speaker 1: is going to be like the security cards come get

461
00:25:43,880 --> 00:25:46,600
Speaker 1: you and put But had Nero wrapped around her finger.

462
00:25:46,680 --> 00:25:48,080
Speaker 1: She must have because she got to sit in a

463
00:25:48,080 --> 00:25:51,280
Speaker 1: resignation letter where she disregarded all of these charges as

464
00:25:51,359 --> 00:25:55,240
Speaker 1: false and in ridiculous. Ridiculous is as she said. And

465
00:25:55,320 --> 00:25:59,639
Speaker 1: then she writes herself a letter of recommendation which she

466
00:25:59,720 --> 00:26:05,520
Speaker 1: gives to Robert de Niro to to sign. He declines. However,

467
00:26:05,960 --> 00:26:07,919
Speaker 1: she had been working at since assistant for years, so

468
00:26:07,960 --> 00:26:10,720
Speaker 1: she probably just still wrote that letter. She's like, yeah,

469
00:26:10,840 --> 00:26:13,280
Speaker 1: I know your signature, Robert. I was giving you a

470
00:26:13,359 --> 00:26:15,960
Speaker 1: chance to do the right thing, but you know you're

471
00:26:16,000 --> 00:26:21,240
Speaker 1: not going to give me my quill. I love that

472
00:26:21,320 --> 00:26:24,199
Speaker 1: she writes it with a quill. It's just all right

473
00:26:24,240 --> 00:26:28,439
Speaker 1: another obviously this is a bad behavior, however, but again

474
00:26:28,520 --> 00:26:34,960
Speaker 1: I'm just amazed at her confidence, like that're just going

475
00:26:35,000 --> 00:26:38,040
Speaker 1: through life like, oh, I can do whatever I want.

476
00:26:38,400 --> 00:26:40,080
Speaker 1: I mean, it's probably one of those things too. Within

477
00:26:40,080 --> 00:26:44,800
Speaker 1: the company, people were just taking advantage. I mean there

478
00:26:44,840 --> 00:26:48,040
Speaker 1: I've seen instances of people at like an actor's production

479
00:26:48,080 --> 00:26:50,760
Speaker 1: company when they start their own little boutique production company,

480
00:26:50,880 --> 00:26:53,520
Speaker 1: and there's a lot of sucking around sometimes, especially if

481
00:26:53,560 --> 00:26:55,760
Speaker 1: like their friends are involved and things like that. So

482
00:26:55,800 --> 00:26:57,760
Speaker 1: I wonder if they're just a culture in there. It

483
00:26:57,800 --> 00:26:59,560
Speaker 1: was like, dude, none of these people care. Robert doesn't know,

484
00:26:59,640 --> 00:27:01,320
Speaker 1: like they're one in a billion dollars a year, like

485
00:27:01,320 --> 00:27:05,639
Speaker 1: throughout his business ventures, like what's fucking right, and he's working,

486
00:27:05,680 --> 00:27:08,840
Speaker 1: so he's probably got there like overlooking everybody's shoulder like

487
00:27:09,160 --> 00:27:11,880
Speaker 1: working on the too busy hanging out with anti bactors.

488
00:27:11,960 --> 00:27:13,879
Speaker 1: Right now, all right, let's take a quick break and

489
00:27:13,920 --> 00:27:26,359
Speaker 1: we'll be right back. And we're back, and you know,

490
00:27:26,440 --> 00:27:29,840
Speaker 1: let's just check in a couple of things in Trump world. Um.

491
00:27:29,960 --> 00:27:33,040
Speaker 1: Right now, he's been floating the idea of another tax cut,

492
00:27:33,200 --> 00:27:38,000
Speaker 1: a payroll tax cut, because despite him saying, hey, economy

493
00:27:38,080 --> 00:27:40,360
Speaker 1: via chill, nothing to worry about, recession, no way, don't

494
00:27:40,400 --> 00:27:43,080
Speaker 1: ignore Larry Cudlow drunk off his face on TVs and

495
00:27:43,640 --> 00:27:46,520
Speaker 1: I don't see your session coming any same soon. And

496
00:27:46,720 --> 00:27:51,520
Speaker 1: Greenland he's gonna pay for herself. They have to. Now

497
00:27:51,840 --> 00:27:54,040
Speaker 1: he's now floating a payroll tax cut to juice the

498
00:27:54,080 --> 00:27:57,679
Speaker 1: economy again because I guess, I mean, maybe he sees

499
00:27:57,960 --> 00:27:59,879
Speaker 1: something in the in the writings on the wall, but

500
00:28:00,000 --> 00:28:01,480
Speaker 1: I don't know. We'll just put a pin in that

501
00:28:01,520 --> 00:28:04,400
Speaker 1: and we'll see how that goes. Now. Um. One thing

502
00:28:04,440 --> 00:28:06,600
Speaker 1: that's been very interesting is that a lot of the

503
00:28:06,600 --> 00:28:10,400
Speaker 1: polling showing all kinds of things right now. Joe Biden,

504
00:28:10,640 --> 00:28:14,720
Speaker 1: his national poll numbers are widening, but in different states

505
00:28:14,760 --> 00:28:16,600
Speaker 1: it seems like it's much tighter. So we'll see how

506
00:28:16,640 --> 00:28:18,760
Speaker 1: that goes. And now he put out a new campaign

507
00:28:18,840 --> 00:28:22,080
Speaker 1: video that was basically saying, like, look, forget all this

508
00:28:22,119 --> 00:28:24,520
Speaker 1: ship that's wrong with me. Look at the polls. Everyone

509
00:28:24,600 --> 00:28:26,960
Speaker 1: thinks I'm the best one to beat Trump. And also

510
00:28:27,119 --> 00:28:30,320
Speaker 1: Obama like was sort of the gist of this entire video,

511
00:28:30,600 --> 00:28:33,560
Speaker 1: And as we spoke about yesterday, Obama was very much

512
00:28:33,760 --> 00:28:36,040
Speaker 1: telling him, please don't run, Joe, you don't need to

513
00:28:36,040 --> 00:28:38,360
Speaker 1: do this, You don't need to do this. He's like

514
00:28:38,400 --> 00:28:40,840
Speaker 1: talking to Joe Biden like he's like Drake talking to

515
00:28:40,880 --> 00:28:48,160
Speaker 1: a stripper, like, yeah, exactly to take care of you. Yeah,

516
00:28:48,280 --> 00:28:50,160
Speaker 1: you don't have to work at the Hooters on Peachtree anymore.

517
00:28:50,520 --> 00:28:53,560
Speaker 1: Um So, on top of that, as those poles are

518
00:28:53,560 --> 00:28:57,040
Speaker 1: widening and Biden wants to declare himself the only person

519
00:28:57,080 --> 00:28:59,480
Speaker 1: to be able to vanquish Donald Trump, we're now also

520
00:28:59,520 --> 00:29:03,600
Speaker 1: seeing sort of non pretty significant changes in Trump's polling

521
00:29:03,640 --> 00:29:06,800
Speaker 1: as well, not necessarily in his job approval ratings, because

522
00:29:06,800 --> 00:29:10,400
Speaker 1: that's always around the same same place. It's his disapproval

523
00:29:10,520 --> 00:29:15,120
Speaker 1: rating that's actually starting to fluctuate a little bit. And

524
00:29:15,360 --> 00:29:17,640
Speaker 1: I think that's a really good indicator or you know,

525
00:29:17,720 --> 00:29:20,640
Speaker 1: at the very least of what people's feelings are towards

526
00:29:20,640 --> 00:29:22,040
Speaker 1: the president. I think a lot of people were sort

527
00:29:22,040 --> 00:29:24,200
Speaker 1: of like, it's just sucks or whatever, and maybe it's

528
00:29:24,240 --> 00:29:27,040
Speaker 1: not that great, but they point to a lot of

529
00:29:27,080 --> 00:29:30,280
Speaker 1: these the spikes and the disapproval numbers come after his

530
00:29:30,800 --> 00:29:34,000
Speaker 1: basically like all out war of words with the squad

531
00:29:34,440 --> 00:29:36,960
Speaker 1: and all the center back bullshit, and coming after all

532
00:29:37,000 --> 00:29:41,840
Speaker 1: those freshman Congress people. Um. Also his just terrible handling

533
00:29:41,840 --> 00:29:45,480
Speaker 1: of the El Paso and Dayton shootings and just all

534
00:29:45,520 --> 00:29:47,920
Speaker 1: of his inability to lead has sort of led to

535
00:29:47,960 --> 00:29:49,200
Speaker 1: this point, and a lot of people like, what is

536
00:29:49,240 --> 00:29:50,680
Speaker 1: it gonna show the numbers? One? Is it gonna show

537
00:29:50,720 --> 00:29:53,440
Speaker 1: the numbers? Well, here's the deal. In a Fox News poll,

538
00:29:54,040 --> 00:29:58,520
Speaker 1: um his his disapproval rating went up five percentage points

539
00:29:58,560 --> 00:30:02,760
Speaker 1: to fifty six percent, and in every other demographic it's

540
00:30:02,800 --> 00:30:06,560
Speaker 1: basically above fifty. So sixty four percent among independence disapproved

541
00:30:06,600 --> 00:30:11,760
Speaker 1: of his performance. Among men, percent among white men want

542
00:30:11,800 --> 00:30:16,960
Speaker 1: wampt of those older than forty five, among suburban women

543
00:30:18,280 --> 00:30:22,320
Speaker 1: women overall, and um, even among Republicans it's gone up

544
00:30:22,360 --> 00:30:26,120
Speaker 1: to eleven percent, and then among self described conservatives it's

545
00:30:26,120 --> 00:30:29,200
Speaker 1: at twenty six percent. So it's weird. How even on

546
00:30:29,240 --> 00:30:32,440
Speaker 1: the right, his just people's sentiment around it is starting

547
00:30:32,440 --> 00:30:36,120
Speaker 1: to fluctuate. I guess the other interesting poll number to

548
00:30:36,200 --> 00:30:38,960
Speaker 1: also look at, because it's not just this Fox News

549
00:30:38,960 --> 00:30:41,440
Speaker 1: bowl pu NBC. A lot of the bigger polls also

550
00:30:41,520 --> 00:30:44,640
Speaker 1: reflect the same sort of jump in his overall disapproval numbers,

551
00:30:44,720 --> 00:30:48,480
Speaker 1: necessarily not a decrease in his approval numbers. But there's

552
00:30:48,880 --> 00:30:51,400
Speaker 1: the idea too that people have that. In another Fox

553
00:30:51,480 --> 00:30:54,560
Speaker 1: News poll, fifty six percent of voters felt that Trump

554
00:30:54,600 --> 00:30:56,640
Speaker 1: had either a great deal or some blame for the

555
00:30:56,680 --> 00:31:00,880
Speaker 1: mass shootings in this country, and thirty four percent attributed

556
00:31:01,040 --> 00:31:04,400
Speaker 1: a great deal of blame to Trump. So you know,

557
00:31:04,600 --> 00:31:07,000
Speaker 1: a lot of pollsters are saying, like, maybe this is

558
00:31:07,120 --> 00:31:10,680
Speaker 1: the turning point, but I think with how skittish people

559
00:31:10,720 --> 00:31:13,800
Speaker 1: are with relying on poles last time around, it's like, okay, sure, sure,

560
00:31:14,040 --> 00:31:17,800
Speaker 1: because let's not forget the Democrats have also mastered the

561
00:31:17,960 --> 00:31:23,120
Speaker 1: very fine art of totally fucking things up. So there's

562
00:31:23,120 --> 00:31:25,680
Speaker 1: also you never you never know what will happen. Um,

563
00:31:25,720 --> 00:31:27,960
Speaker 1: so you know, just something to keep your We need

564
00:31:28,440 --> 00:31:33,880
Speaker 1: more Scaramo cheese, right, we need some of these um

565
00:31:33,960 --> 00:31:37,200
Speaker 1: disgruntled people to crawl out of their manholes that were

566
00:31:37,240 --> 00:31:41,000
Speaker 1: temporarily employed by dump truck and to start, you know,

567
00:31:41,360 --> 00:31:45,560
Speaker 1: wearing down that fabric, you know, because the more people

568
00:31:45,720 --> 00:31:49,000
Speaker 1: that align themselves with him, and he was like, oh,

569
00:31:49,200 --> 00:31:51,920
Speaker 1: this guy's great, Like that helps that chips away. I

570
00:31:51,960 --> 00:31:55,040
Speaker 1: think at people's confidence. But the poles to me, like

571
00:31:55,040 --> 00:31:59,440
Speaker 1: when I woke ume and I saw Kamala, you know, dovetail,

572
00:32:00,160 --> 00:32:03,080
Speaker 1: I was shocked by that. And then I thought, and

573
00:32:03,120 --> 00:32:05,560
Speaker 1: then it was Biden and Sanders and I'm like, oh

574
00:32:05,600 --> 00:32:07,840
Speaker 1: my god, it's weekend of Bernie's. You know, it's like,

575
00:32:07,880 --> 00:32:10,800
Speaker 1: we're going to prop these dudes up. And and I

576
00:32:11,440 --> 00:32:13,920
Speaker 1: and I think the gut. I think the knee jerk

577
00:32:13,960 --> 00:32:16,320
Speaker 1: reaction right now in this country is like everyone is

578
00:32:16,440 --> 00:32:21,720
Speaker 1: so terrified of losing on the left. You know that

579
00:32:21,880 --> 00:32:24,840
Speaker 1: the two top people are old white men, Like here

580
00:32:24,880 --> 00:32:27,760
Speaker 1: we go again, you know what I mean. Like, but

581
00:32:27,760 --> 00:32:29,720
Speaker 1: but I get I get some of it. I get

582
00:32:29,720 --> 00:32:31,600
Speaker 1: some of it. Well, that's that's just sort of the

583
00:32:31,600 --> 00:32:34,400
Speaker 1: psychology of people just not it's fear. It's all the

584
00:32:34,440 --> 00:32:38,040
Speaker 1: safest thing. What's the what's the nailed on, guaranteed thing.

585
00:32:38,520 --> 00:32:41,120
Speaker 1: And I've I mean, I don't think you could, in

586
00:32:41,160 --> 00:32:44,360
Speaker 1: your wildest dreams say that you know, Biden, could you know,

587
00:32:44,480 --> 00:32:48,040
Speaker 1: withstand this entire race and get to the finish line

588
00:32:48,040 --> 00:32:50,160
Speaker 1: in the same way, considering like when last week we're

589
00:32:50,160 --> 00:32:52,640
Speaker 1: talking about how his handlers are, like we actually kind

590
00:32:52,640 --> 00:32:54,120
Speaker 1: of have to put him on ice from time to

591
00:32:54,200 --> 00:32:56,520
Speaker 1: time because he starts when he gets tired, he starts

592
00:32:56,520 --> 00:32:58,520
Speaker 1: saying all that weird ship that people are like what

593
00:32:59,120 --> 00:33:01,640
Speaker 1: you know, like all those gaffes come out when he's tired,

594
00:33:01,680 --> 00:33:09,840
Speaker 1: so right, opinions keep coming out when he's died. So

595
00:33:09,920 --> 00:33:14,080
Speaker 1: we just gotta it's like backwards just having a nap y'all.

596
00:33:13,920 --> 00:33:16,560
Speaker 1: Well exactly. Well, I mean, I'm not going to say

597
00:33:16,600 --> 00:33:18,800
Speaker 1: that I'm against the fear. I think that the fear

598
00:33:18,840 --> 00:33:21,480
Speaker 1: is necessary, and the fear that we didn't have the

599
00:33:21,800 --> 00:33:24,400
Speaker 1: rest of assurance that we thought that Hillary Clinton was

600
00:33:24,440 --> 00:33:27,239
Speaker 1: going to become the president is really what screwed us.

601
00:33:27,280 --> 00:33:29,600
Speaker 1: So I want people to stay afraid and banic until

602
00:33:29,640 --> 00:33:31,800
Speaker 1: the very last second, because we need everyone to go

603
00:33:31,840 --> 00:33:35,520
Speaker 1: to the polls. At the polls. And I think before

604
00:33:35,840 --> 00:33:38,800
Speaker 1: in cases where we saw like John Carey running against

605
00:33:38,800 --> 00:33:41,400
Speaker 1: George W. Bush and we were all voting basically for

606
00:33:41,520 --> 00:33:44,480
Speaker 1: carry as a vote against Bush, it didn't galvanize enough

607
00:33:44,560 --> 00:33:47,560
Speaker 1: votes for him to win that second term. However, I

608
00:33:47,600 --> 00:33:50,720
Speaker 1: think because we're dealing with the president who's literally increasing

609
00:33:50,720 --> 00:33:54,400
Speaker 1: the murder rate of our country, who's galvanizing racist, it's like, look,

610
00:33:54,480 --> 00:33:58,520
Speaker 1: I'm a vote for whoever whoever's blue in that white box.

611
00:33:58,640 --> 00:34:00,680
Speaker 1: If it's if it's Joe Biden, should I guess, Uncle

612
00:34:00,720 --> 00:34:02,320
Speaker 1: Joe just have to run the country for four years?

613
00:34:02,360 --> 00:34:04,600
Speaker 1: God damn it. I don't know, But like, we don't

614
00:34:04,640 --> 00:34:07,280
Speaker 1: have a choice. It's not like with John Kerry and

615
00:34:07,280 --> 00:34:09,320
Speaker 1: George Bush, where it was like George Bush was an idiot,

616
00:34:09,320 --> 00:34:11,279
Speaker 1: and yes he did a lot of horrible things that

617
00:34:11,320 --> 00:34:13,800
Speaker 1: really had impacted people of color and also just people

618
00:34:13,880 --> 00:34:15,920
Speaker 1: in general in the United States when it comes to

619
00:34:16,239 --> 00:34:20,200
Speaker 1: pretty much every side of yeah, um, but also financially too,

620
00:34:20,440 --> 00:34:23,680
Speaker 1: like biggest recession. Like, but in this case, I think

621
00:34:23,680 --> 00:34:25,759
Speaker 1: that people know the voting is their survival more than

622
00:34:25,840 --> 00:34:27,560
Speaker 1: it is like, oh, I'm going to be annoyed by

623
00:34:27,560 --> 00:34:29,960
Speaker 1: having a Republican president in office. It's like, oh, I'm

624
00:34:29,960 --> 00:34:31,880
Speaker 1: going to have a president in office was literally gonna

625
00:34:31,880 --> 00:34:35,160
Speaker 1: make going to the grocery store, uh, you know, attempted murder,

626
00:34:35,360 --> 00:34:38,839
Speaker 1: Like yeah, yeah, wait a whole different ball games. Yeah,

627
00:34:39,000 --> 00:34:41,080
Speaker 1: I think there should be no more debates. I think

628
00:34:41,320 --> 00:34:44,759
Speaker 1: all the Democrat Democratic candidates to go in a room

629
00:34:44,840 --> 00:34:49,440
Speaker 1: and debate, pick two, and then come out. I don't know.

630
00:34:50,080 --> 00:34:51,680
Speaker 1: At first, I was like, this is so great. There's

631
00:34:51,680 --> 00:34:53,560
Speaker 1: gonna so many, so many candidates. We can really break

632
00:34:53,560 --> 00:34:56,880
Speaker 1: down and talk about environment and women's issues and civil rights.

633
00:34:57,160 --> 00:34:59,960
Speaker 1: And now I'm like, what, I'm totally overthinking it. If

634
00:35:00,040 --> 00:35:02,880
Speaker 1: your last name isn't Trump, I'm voting for you, right,

635
00:35:03,160 --> 00:35:06,560
Speaker 1: So it's like, just pick two. At this point, I

636
00:35:06,600 --> 00:35:09,799
Speaker 1: am my bar is so low. I'm panicked. On a

637
00:35:09,880 --> 00:35:12,839
Speaker 1: twenty four hour period, I feel close to vomiting. Even

638
00:35:12,920 --> 00:35:15,560
Speaker 1: Rachel Maddow every night from six to seven, I almost

639
00:35:15,560 --> 00:35:18,120
Speaker 1: can't even watch it anymore. I mean I will because

640
00:35:18,120 --> 00:35:21,080
Speaker 1: she's my dreams, She's a dream sequence, but I I

641
00:35:21,200 --> 00:35:23,680
Speaker 1: get so like her that that I'm like Binder and

642
00:35:23,800 --> 00:35:28,600
Speaker 1: Biden and Sanders, okay, whatever. I literally don't even care

643
00:35:28,640 --> 00:35:32,240
Speaker 1: at this point doing flash mobs. Will all be wearing

644
00:35:32,320 --> 00:35:35,360
Speaker 1: that Joe Obama merged that joke. You catch me in

645
00:35:35,360 --> 00:35:38,440
Speaker 1: that joke every week. I don't even really it's so

646
00:35:38,480 --> 00:35:41,719
Speaker 1: sad to say, but I don't just pick two, I go,

647
00:35:41,840 --> 00:35:44,200
Speaker 1: I can't go through this. Part of me is like,

648
00:35:44,239 --> 00:35:46,319
Speaker 1: I don't know if, like I I, you'd like to

649
00:35:46,360 --> 00:35:49,080
Speaker 1: think that people who have the same kind of outlook

650
00:35:49,080 --> 00:35:51,800
Speaker 1: on our economy and like predatory capitalism in this country,

651
00:35:51,880 --> 00:35:54,720
Speaker 1: like Elizabeth Warren or Bernie Sanders, like would help disrupt

652
00:35:54,760 --> 00:35:56,239
Speaker 1: those things. But I'm like, fuck it, do we just

653
00:35:56,280 --> 00:35:58,759
Speaker 1: need Biden to get past this and then we can

654
00:35:58,800 --> 00:36:01,239
Speaker 1: actually start like beginning the change because people aren't ready.

655
00:36:01,840 --> 00:36:06,640
Speaker 1: It's a very uh's the candidates? Sorry, well, I was

656
00:36:06,640 --> 00:36:09,600
Speaker 1: just gonna say, let's say this happens. Let's just let's

657
00:36:09,640 --> 00:36:13,280
Speaker 1: just say it's Biden in and he picks Harris for VP. Whatever.

658
00:36:13,320 --> 00:36:16,760
Speaker 1: I'm just you know what, then I think the Bernie

659
00:36:16,800 --> 00:36:20,200
Speaker 1: Sanders and Elizabeth Warren's and in the Buddha, I think

660
00:36:20,200 --> 00:36:23,120
Speaker 1: they'd be all phenomenal heads of state, you know what

661
00:36:23,160 --> 00:36:26,920
Speaker 1: I mean. I mean, I think they'd be Secretariz Catinet

662
00:36:26,960 --> 00:36:30,279
Speaker 1: positions because their ideas are phenomenal. Yeah, but I guess

663
00:36:30,280 --> 00:36:32,200
Speaker 1: that's where you need the president though, to be able

664
00:36:32,200 --> 00:36:35,160
Speaker 1: to be like, you know, because Elizabeth Warren freaks freaks

665
00:36:35,160 --> 00:36:37,200
Speaker 1: a ship out of the banks in Wall Street, so

666
00:36:37,320 --> 00:36:39,920
Speaker 1: is Joe Biden. Going to take on board, which she recommends,

667
00:36:39,960 --> 00:36:43,359
Speaker 1: because he's also like in in bed, so he's like, oh,

668
00:36:43,400 --> 00:36:45,040
Speaker 1: you know, I don't know if he would pick her.

669
00:36:45,080 --> 00:36:47,279
Speaker 1: And that's the problem is that's where I'm like, Joe

670
00:36:47,360 --> 00:36:48,960
Speaker 1: is just going to keep him more the same. No, No,

671
00:36:49,040 --> 00:36:52,640
Speaker 1: I'm not remotely a fan. It's just yeah, your bar

672
00:36:52,840 --> 00:36:55,239
Speaker 1: you know, we're at negative one million, and Biden may

673
00:36:55,400 --> 00:36:58,440
Speaker 1: bring us back to negative ten, you know what I mean, Like,

674
00:36:58,640 --> 00:37:02,399
Speaker 1: I'm not excited at all. Yeah, that's just the I think.

675
00:37:02,480 --> 00:37:04,319
Speaker 1: And that's just sort of the effect of this current

676
00:37:04,320 --> 00:37:07,680
Speaker 1: presidency too. It's like, we just want a president who's

677
00:37:07,680 --> 00:37:10,640
Speaker 1: going to stop telling white supremacists it's okay to murder us,

678
00:37:10,680 --> 00:37:15,880
Speaker 1: like we're just trying to get there. President not doesn't

679
00:37:15,920 --> 00:37:19,560
Speaker 1: tell white supremacists that they're very fine people. I'm almost

680
00:37:19,560 --> 00:37:21,520
Speaker 1: a curious see what happens to in these debates because

681
00:37:21,640 --> 00:37:23,799
Speaker 1: for all the focus on Joe Biden's you know, hand

682
00:37:23,800 --> 00:37:26,120
Speaker 1: in the ninety four crime bill, let's forget Bernie Sanders

683
00:37:26,120 --> 00:37:28,319
Speaker 1: also voted for that crime bill too, but that hasn't

684
00:37:28,320 --> 00:37:31,360
Speaker 1: been discussed on the debate stage. So we shall see everyme.

685
00:37:31,400 --> 00:37:33,560
Speaker 1: I see Joe, but I also see Anita Hill, you

686
00:37:33,640 --> 00:37:35,600
Speaker 1: know what I mean, And and and so it's like

687
00:37:35,880 --> 00:37:39,840
Speaker 1: sickening because you just know, like it's that age group,

688
00:37:39,920 --> 00:37:43,680
Speaker 1: is that older white man age group, which I can't

689
00:37:43,680 --> 00:37:47,840
Speaker 1: even look at anymore. But it's just so depressing that

690
00:37:47,840 --> 00:37:50,399
Speaker 1: that's what I don't know. But you know, as these

691
00:37:50,440 --> 00:37:54,560
Speaker 1: polls show Trump, you know, looking in like very not

692
00:37:54,719 --> 00:37:57,360
Speaker 1: good shape in terms of like don't believe like the

693
00:37:57,360 --> 00:37:59,759
Speaker 1: outlook on the economy or just a polling numbers, Well,

694
00:37:59,800 --> 00:38:02,200
Speaker 1: if there is something to say that, he definitely acknowledges

695
00:38:02,280 --> 00:38:04,520
Speaker 1: that there could be a very real threat to him

696
00:38:04,560 --> 00:38:07,239
Speaker 1: being reelected because he's already started. You know, he's been

697
00:38:07,480 --> 00:38:10,040
Speaker 1: playing this groundwork to try and negate the results of

698
00:38:10,040 --> 00:38:13,080
Speaker 1: the election, like now being like you know, all this

699
00:38:13,160 --> 00:38:15,560
Speaker 1: voter fraud you never know, I mean, like the media

700
00:38:15,680 --> 00:38:18,279
Speaker 1: is trying to sabotage he's trying to create all these

701
00:38:18,320 --> 00:38:22,200
Speaker 1: fall people. So when he goes hey my followers, I like,

702
00:38:22,280 --> 00:38:24,279
Speaker 1: this is bullshit. I don't agree with this. You know,

703
00:38:24,320 --> 00:38:27,319
Speaker 1: if he loses, he never even wanted this ship. He

704
00:38:27,360 --> 00:38:30,400
Speaker 1: looked so mortified when he gave his acceptance speech. And

705
00:38:30,440 --> 00:38:32,440
Speaker 1: it's crazy to me that now his ego and his

706
00:38:32,480 --> 00:38:36,279
Speaker 1: aid has driven him to one another term doing well.

707
00:38:36,560 --> 00:38:37,920
Speaker 1: This is the only thing that's going to keep him

708
00:38:37,960 --> 00:38:41,600
Speaker 1: from facing criminal charges because fun that the second he's

709
00:38:41,600 --> 00:38:48,239
Speaker 1: out of office in the like Hi, Donald Trump, Yes,

710
00:38:48,640 --> 00:38:50,319
Speaker 1: they're gonna be playing you want them digging it up

711
00:38:50,360 --> 00:38:52,120
Speaker 1: like they did. R Kelly, I want it all. I

712
00:38:52,200 --> 00:38:56,160
Speaker 1: want it now. I mean yeah, they'll they'll o. Marion

713
00:38:56,239 --> 00:38:59,600
Speaker 1: will come out to serve him. Literally four little Saint

714
00:39:00,080 --> 00:39:06,000
Speaker 1: dancing in the rains Houston. Everybody, Chris even Chris Brown problematic,

715
00:39:06,120 --> 00:39:09,160
Speaker 1: but he gonna have to dance to Yeah you got served,

716
00:39:09,400 --> 00:39:14,080
Speaker 1: Mr President? Oh, I mean Donald Um, So yeah, I

717
00:39:14,120 --> 00:39:16,279
Speaker 1: think there's there is a lot to say that there

718
00:39:16,320 --> 00:39:18,600
Speaker 1: is probably gonna be some cheating, like he he tweeted

719
00:39:18,600 --> 00:39:22,680
Speaker 1: out this weird study that um saying that Google had

720
00:39:22,719 --> 00:39:25,719
Speaker 1: manipulated like a bunch of people's like search history, Like

721
00:39:25,800 --> 00:39:27,799
Speaker 1: it was weird, trying to say many played two point

722
00:39:27,840 --> 00:39:30,560
Speaker 1: six million to six sixteen million votes in favor of

723
00:39:30,600 --> 00:39:34,400
Speaker 1: Hilly Clinton and it the math is like so odd

724
00:39:34,440 --> 00:39:36,960
Speaker 1: that he's using. It's based on this study that was

725
00:39:37,000 --> 00:39:40,000
Speaker 1: done by this psychologist who reported that search results were

726
00:39:40,080 --> 00:39:43,359
Speaker 1: on average biased to favor Hillary Clinton on the days

727
00:39:43,400 --> 00:39:46,000
Speaker 1: that this person studied, But I don't understand how you

728
00:39:46,040 --> 00:39:49,560
Speaker 1: can actually demonstrate that bias. If people just were actually

729
00:39:49,600 --> 00:39:52,720
Speaker 1: searching that more, then that's just the reality of the situation.

730
00:39:52,719 --> 00:39:55,000
Speaker 1: I don't know how that you can then extrapolate this

731
00:39:55,080 --> 00:39:58,640
Speaker 1: idea that you know, this was leading to a huge

732
00:39:58,920 --> 00:40:01,400
Speaker 1: swing in votes. But this is the kind of like

733
00:40:01,560 --> 00:40:05,000
Speaker 1: really tenuous lame logic that he's latching onto to try

734
00:40:05,000 --> 00:40:08,040
Speaker 1: and perverserve his own I don't know the mirage of

735
00:40:08,120 --> 00:40:11,520
Speaker 1: his presidency and why he should stay in office. Let's

736
00:40:11,520 --> 00:40:17,239
Speaker 1: move on to some police violence talk. Yeah, another I

737
00:40:17,280 --> 00:40:20,440
Speaker 1: just wanted to point out that the man who murdered

738
00:40:20,480 --> 00:40:25,719
Speaker 1: Eric Garner was fired. Okay, only took five years? Was

739
00:40:25,960 --> 00:40:28,520
Speaker 1: how long was it? I was gonna say, I guess seven? Yeah,

740
00:40:28,600 --> 00:40:31,840
Speaker 1: I was. And also, wow, cool, you murdered a person

741
00:40:32,000 --> 00:40:34,560
Speaker 1: and you only get fired, and it's you know, it's

742
00:40:34,560 --> 00:40:39,480
Speaker 1: been man very very long and painful road for the

743
00:40:39,520 --> 00:40:43,399
Speaker 1: country and the Gardner family to just, you know, look

744
00:40:43,560 --> 00:40:46,839
Speaker 1: at somebody just get murdered in the street like that. Yeah,

745
00:40:46,880 --> 00:40:49,439
Speaker 1: on video eleven minute video of him saying I can't

746
00:40:49,440 --> 00:40:51,439
Speaker 1: breathe and them using an I legal chokehold, and then

747
00:40:51,520 --> 00:40:54,800
Speaker 1: somehow they allowed this man to be back on the field,

748
00:40:54,840 --> 00:40:58,200
Speaker 1: like what the actual funck and apparently like through all

749
00:40:58,239 --> 00:41:02,360
Speaker 1: this was very uncooperative and transparently self serving in his

750
00:41:02,400 --> 00:41:06,000
Speaker 1: own testimony when there was like an internally inquiry about it. So,

751
00:41:06,160 --> 00:41:08,480
Speaker 1: you know, and I bring this up because obviously that's

752
00:41:08,480 --> 00:41:11,600
Speaker 1: sort of older news because there's also recently in California

753
00:41:11,640 --> 00:41:14,640
Speaker 1: a new law that was passed that is basically the

754
00:41:14,680 --> 00:41:18,080
Speaker 1: strictest law in the nation um for defining when police

755
00:41:18,120 --> 00:41:22,879
Speaker 1: can use deadly force. Now, like any bill involving the

756
00:41:22,960 --> 00:41:25,840
Speaker 1: you know, use of deadly force and police violence, you know,

757
00:41:25,960 --> 00:41:28,239
Speaker 1: has some people happy, as other people saying this is

758
00:41:28,239 --> 00:41:30,960
Speaker 1: not enough, but it's a good step. Um. The biggest

759
00:41:31,000 --> 00:41:33,719
Speaker 1: thing is that right now, I think it says at

760
00:41:33,760 --> 00:41:36,160
Speaker 1: the current legal standard is that the use of legal

761
00:41:36,200 --> 00:41:40,120
Speaker 1: force lethal force is legal if it is reasonable, and

762
00:41:40,200 --> 00:41:43,759
Speaker 1: now we're talking about trying to figure out what is necessary.

763
00:41:43,760 --> 00:41:46,200
Speaker 1: So essentially before you could only look at like what

764
00:41:46,320 --> 00:41:48,960
Speaker 1: the officer did in that moment and see if the

765
00:41:49,000 --> 00:41:52,280
Speaker 1: way they responded was reasonable or like that they felt

766
00:41:52,320 --> 00:41:55,200
Speaker 1: that they could you know, legally use this lethal force.

767
00:41:55,600 --> 00:41:58,160
Speaker 1: Now this bill allows for a lot more context to

768
00:41:58,200 --> 00:42:01,520
Speaker 1: even understand the behavior of the officer the behavior of

769
00:42:01,560 --> 00:42:05,399
Speaker 1: the person who is being apprehended or whatever, to begin

770
00:42:05,440 --> 00:42:08,560
Speaker 1: to bring a little more nuanced into discussion. Before this,

771
00:42:08,760 --> 00:42:12,280
Speaker 1: a lot of law enforcement groups were against it because

772
00:42:12,320 --> 00:42:15,880
Speaker 1: there was language in it that would basically help district

773
00:42:15,880 --> 00:42:19,799
Speaker 1: attorneys and prosecutors hold the police officers themselves accountable or

774
00:42:19,800 --> 00:42:23,400
Speaker 1: face criminal liability. When that language was watered down, that

775
00:42:23,520 --> 00:42:25,800
Speaker 1: was the only time, like the law enforcement lobbying groups

776
00:42:25,800 --> 00:42:27,520
Speaker 1: were sort of on board with it. So that's the

777
00:42:27,560 --> 00:42:29,600
Speaker 1: part where a lot of activists are like, see, this

778
00:42:29,680 --> 00:42:33,239
Speaker 1: is the thing. We need criminal accountability because if you

779
00:42:33,239 --> 00:42:35,600
Speaker 1: are stepping outside the bounds of like what we're defining

780
00:42:35,719 --> 00:42:38,320
Speaker 1: is you know how a police officer should conduct themselves

781
00:42:38,480 --> 00:42:40,680
Speaker 1: or shooting someone straight up in the back, like we

782
00:42:40,719 --> 00:42:42,680
Speaker 1: need to we need to actually look at that criminally.

783
00:42:43,000 --> 00:42:45,839
Speaker 1: But it's not a perfect bill, but it's definitely the

784
00:42:45,920 --> 00:42:49,000
Speaker 1: strictest and going forward, you'd hope that they can add

785
00:42:49,000 --> 00:42:51,520
Speaker 1: on that, but we shall see. I mean, we also

786
00:42:51,640 --> 00:42:53,560
Speaker 1: just need to get to the point where in our

787
00:42:53,560 --> 00:42:57,120
Speaker 1: police state, the police are not above the law. They

788
00:42:57,160 --> 00:42:59,919
Speaker 1: should just face the same laws as if I am

789
00:43:00,000 --> 00:43:03,360
Speaker 1: a civilian and I'm being attacked by someone and I

790
00:43:03,440 --> 00:43:05,759
Speaker 1: used deadly force it should be the same as if

791
00:43:05,760 --> 00:43:08,279
Speaker 1: a police officer feels like they're being attacked by someone

792
00:43:08,280 --> 00:43:09,880
Speaker 1: and use this deadly force, you're not. You should not

793
00:43:09,880 --> 00:43:12,440
Speaker 1: be able to shoot people who are running away, especially

794
00:43:12,480 --> 00:43:15,160
Speaker 1: if they are unarmed. Like, there's just so many things

795
00:43:15,560 --> 00:43:19,839
Speaker 1: that this bill still leaves up to interpretation and loopholes

796
00:43:20,080 --> 00:43:23,000
Speaker 1: that are just quite frankly disgusting. A lot of people

797
00:43:23,000 --> 00:43:25,719
Speaker 1: don't even believe that we need police, and there are

798
00:43:25,760 --> 00:43:29,480
Speaker 1: places where people in society like act as the police,

799
00:43:29,600 --> 00:43:31,600
Speaker 1: and I don't necessarily agree with that because I don't

800
00:43:31,600 --> 00:43:37,719
Speaker 1: know if I would be out here being the policeman. Right.

801
00:43:38,719 --> 00:43:40,640
Speaker 1: Batman is too regular, like he got to come in

802
00:43:40,640 --> 00:43:43,960
Speaker 1: the car, like we wouldn't break down, like, but um,

803
00:43:45,920 --> 00:43:48,120
Speaker 1: but it is. But it's absolutely ridiculous that we keep

804
00:43:48,160 --> 00:43:50,880
Speaker 1: leaving so much gray area up to interpretation. I mean,

805
00:43:50,960 --> 00:43:53,240
Speaker 1: especially in Los Angeles, like we're one of the most

806
00:43:53,320 --> 00:43:56,400
Speaker 1: overly policed cities in the country with one of the

807
00:43:56,440 --> 00:44:00,120
Speaker 1: highest amount of dead told from actual police officers. So oh,

808
00:44:01,040 --> 00:44:03,160
Speaker 1: I don't know, it's just very frustrating. It's just just

809
00:44:03,440 --> 00:44:08,680
Speaker 1: huge disconnect in this country. Like it's like cops are

810
00:44:09,640 --> 00:44:15,200
Speaker 1: I think very much needed. However, literally it's a lawless job.

811
00:44:15,520 --> 00:44:18,520
Speaker 1: Like you are protect it's to serve and to protect.

812
00:44:19,360 --> 00:44:22,960
Speaker 1: And then you have everyone else just like basically on

813
00:44:23,000 --> 00:44:26,719
Speaker 1: the streets we're doing everybody's doing everything wrong, and the

814
00:44:26,920 --> 00:44:30,640
Speaker 1: power it's an imbalance of power. I know, really good.

815
00:44:30,640 --> 00:44:32,520
Speaker 1: There's good cops and bad cops. There's good people and

816
00:44:32,560 --> 00:44:35,919
Speaker 1: bad people, but there's no connect in communities. I think

817
00:44:36,320 --> 00:44:39,640
Speaker 1: there needs to be ground level connection, but no one

818
00:44:39,680 --> 00:44:42,480
Speaker 1: speaks to each other, no one's it's just I can

819
00:44:42,520 --> 00:44:44,960
Speaker 1: do anything I want because I'm a cop and you're

820
00:44:45,000 --> 00:44:48,239
Speaker 1: doing everything wrong, and and it's and that's it. Well,

821
00:44:48,360 --> 00:44:51,080
Speaker 1: and it empowers people who might not actually be interested

822
00:44:51,080 --> 00:44:53,600
Speaker 1: in serving and protecting there might be more interested in

823
00:44:53,680 --> 00:44:57,280
Speaker 1: just being predatory and acting out whatever the vigilante fantasies

824
00:44:57,320 --> 00:44:59,480
Speaker 1: are or whatever. And then you see time and time

825
00:44:59,520 --> 00:45:02,080
Speaker 1: again it's like, yeah, I mean the legislation, okay, it's

826
00:45:02,120 --> 00:45:04,880
Speaker 1: a good step, but you really have to like have

827
00:45:05,880 --> 00:45:11,719
Speaker 1: grassroots people meeting people, cops meeting their community, like just

828
00:45:11,960 --> 00:45:15,319
Speaker 1: some some sort of conversation. Also, the infrastructure is built

829
00:45:15,360 --> 00:45:17,879
Speaker 1: on racism. So when you have a system that's structurally

830
00:45:17,920 --> 00:45:20,560
Speaker 1: built on racism, and then literally is open season for

831
00:45:20,600 --> 00:45:24,080
Speaker 1: people of color. Then you cannot fix it unless you

832
00:45:24,120 --> 00:45:27,080
Speaker 1: start to dismantle it. And instead of doing that, we

833
00:45:27,160 --> 00:45:30,600
Speaker 1: keep trying to inch towards some legislation that's supposed to

834
00:45:30,640 --> 00:45:32,440
Speaker 1: make us all sleep easier at night. We know that

835
00:45:32,480 --> 00:45:35,160
Speaker 1: the police can so easily murder people of color and

836
00:45:35,200 --> 00:45:37,560
Speaker 1: get away with it. It is like nothing, there's no

837
00:45:38,640 --> 00:45:42,440
Speaker 1: criminal liability. Imagine what a cop things goes fun. If

838
00:45:42,440 --> 00:45:44,000
Speaker 1: I bust my gun like this right now, I could

839
00:45:44,280 --> 00:45:47,360
Speaker 1: go to prison. I'm from Texas and I literally the

840
00:45:47,480 --> 00:45:49,319
Speaker 1: one time in my life where I cussed out a cop,

841
00:45:49,360 --> 00:45:51,120
Speaker 1: and I will relish list for the rest of my

842
00:45:51,160 --> 00:45:54,359
Speaker 1: fucking life. I was at home and a jacuzzi with

843
00:45:54,400 --> 00:45:57,040
Speaker 1: my friends on Memorial Day and we got like a

844
00:45:57,120 --> 00:46:00,000
Speaker 1: noise complaint from a nearby neighbor and we were already

845
00:46:00,000 --> 00:46:01,520
Speaker 1: about to go to bed. It was one o'clock. We're like, oh,

846
00:46:01,520 --> 00:46:04,200
Speaker 1: we turned off officer. The officer is like, please come

847
00:46:04,280 --> 00:46:06,000
Speaker 1: through the garage or otherwise I'm gonna give you a

848
00:46:06,000 --> 00:46:09,080
Speaker 1: five hundred dollar fine. We come out and swimsuits holding

849
00:46:09,120 --> 00:46:12,279
Speaker 1: my dog. It's just two women, two black women, and

850
00:46:12,400 --> 00:46:14,880
Speaker 1: he proceeds to interrogate me. I give him my driver's

851
00:46:14,880 --> 00:46:18,040
Speaker 1: license umber he pulls up my name everything and then stays,

852
00:46:18,239 --> 00:46:22,600
Speaker 1: then steps into my garage and asked to call for backup. Yeah,

853
00:46:22,640 --> 00:46:23,920
Speaker 1: And it was a one time in my life where

854
00:46:23,920 --> 00:46:25,319
Speaker 1: I looked him dead in the face because he looked

855
00:46:25,320 --> 00:46:27,319
Speaker 1: around my age. I know this kind of guy, and

856
00:46:27,360 --> 00:46:29,879
Speaker 1: I was like, so, what is it? I was like,

857
00:46:29,920 --> 00:46:32,960
Speaker 1: what is it about me being alive that bothers you

858
00:46:33,040 --> 00:46:35,320
Speaker 1: so much? I was like, you just want to kill people,

859
00:46:35,360 --> 00:46:37,239
Speaker 1: and somehow you think you're connected to some kind of

860
00:46:37,280 --> 00:46:39,359
Speaker 1: deity or God because you're gonna gun me down. You're

861
00:46:39,360 --> 00:46:42,040
Speaker 1: gonna shoot a woman in a bathing suit in a garage,

862
00:46:42,280 --> 00:46:43,960
Speaker 1: that's what you want to do. And I was a

863
00:46:44,000 --> 00:46:46,360
Speaker 1: little drunk. I will say I was, because otherwise I

864
00:46:46,360 --> 00:46:48,800
Speaker 1: would have probably been crying and been like, oh, Mr officer,

865
00:46:48,840 --> 00:46:54,160
Speaker 1: I'm so sorry, let me stroke you on Twitter and so.

866
00:46:54,239 --> 00:46:56,160
Speaker 1: But he ended up. He called for backup, and his

867
00:46:56,160 --> 00:46:58,399
Speaker 1: backup showed up. The backup looked at us and was like,

868
00:46:58,800 --> 00:47:01,120
Speaker 1: come on, man, what are you doing? Left? But he

869
00:47:01,160 --> 00:47:02,719
Speaker 1: was ready to do something. And if I asked my

870
00:47:02,760 --> 00:47:04,440
Speaker 1: father to come out, probably one of us would have

871
00:47:04,440 --> 00:47:07,319
Speaker 1: been dead. But that's like normal. I've had so many

872
00:47:07,320 --> 00:47:10,279
Speaker 1: interactions with cops like that or yeah, or every time

873
00:47:10,280 --> 00:47:13,239
Speaker 1: I've been pulled over, the first question is where's the

874
00:47:13,280 --> 00:47:15,600
Speaker 1: gun at? And I'm like, the funk are you talking about?

875
00:47:15,640 --> 00:47:17,520
Speaker 1: I'm like, run my ship, dude, I've never been arrested.

876
00:47:18,080 --> 00:47:19,399
Speaker 1: And then I'm like, all right, well, how long you've

877
00:47:19,400 --> 00:47:21,480
Speaker 1: been on proby. I'm like, I'm not on probation. I've

878
00:47:21,480 --> 00:47:24,000
Speaker 1: never I don't have a record, and it's like, what

879
00:47:24,200 --> 00:47:26,120
Speaker 1: are you doing here? I'm like, I'm visiting. I'm I'm

880
00:47:26,160 --> 00:47:29,720
Speaker 1: I'm sucking somebody in this neighborhood. That's why I'm here, Officer.

881
00:47:30,000 --> 00:47:32,200
Speaker 1: I'm sorry I didn't stop all the way I am

882
00:47:32,280 --> 00:47:35,279
Speaker 1: horny or have you ever been horny? Officer? That let

883
00:47:35,280 --> 00:47:37,400
Speaker 1: me fucking beat? And that's the fucking weird ship that

884
00:47:37,400 --> 00:47:40,520
Speaker 1: people don't realize too, is like even me, I'm half black,

885
00:47:40,640 --> 00:47:45,160
Speaker 1: I don't I might necessarily communicate the traditional African American

886
00:47:45,200 --> 00:47:47,040
Speaker 1: look to police officer, but still brown people are looked

887
00:47:47,080 --> 00:47:49,520
Speaker 1: at like, okay, so what's really good? Like where's your weapon?

888
00:47:49,560 --> 00:47:51,720
Speaker 1: Are you a threat to me? And that's just what's chilling.

889
00:47:51,840 --> 00:47:53,560
Speaker 1: The one thing I will at is that in the

890
00:47:53,600 --> 00:47:57,520
Speaker 1: bill does actually prohibit a police officer from firing fleeing

891
00:47:57,560 --> 00:48:00,640
Speaker 1: felons who don't pose an immediate danger now in mediate danger.

892
00:48:00,680 --> 00:48:03,520
Speaker 1: I don't know how they're gonna right my back. How

893
00:48:03,560 --> 00:48:07,440
Speaker 1: does my back oppose any immediate danger? Very muscular in

894
00:48:07,480 --> 00:48:10,759
Speaker 1: the back. Also, you're you're the race issue. It's you're

895
00:48:10,800 --> 00:48:14,760
Speaker 1: dealing with half the population. Right. So I'm a white woman,

896
00:48:14,800 --> 00:48:18,799
Speaker 1: so I'm very much marginalized in the woman area. But

897
00:48:18,880 --> 00:48:22,760
Speaker 1: as a white person, none of this has happened to me. None,

898
00:48:23,000 --> 00:48:25,479
Speaker 1: None of this. I've been I put pulled over once

899
00:48:25,520 --> 00:48:27,239
Speaker 1: in Florida when I was eighteen. I was driving like

900
00:48:27,280 --> 00:48:30,960
Speaker 1: a maniac from spring break. So I don't have any

901
00:48:31,040 --> 00:48:35,200
Speaker 1: of these stories. I don't have any I can sympathize

902
00:48:35,239 --> 00:48:39,759
Speaker 1: to the last breath, but I don't have these experiences.

903
00:48:40,280 --> 00:48:46,080
Speaker 1: And the flip side is okay, So primarily white male officers, right,

904
00:48:46,320 --> 00:48:51,680
Speaker 1: which are more more to be I'm sorry, just blatantly

905
00:48:51,760 --> 00:48:55,520
Speaker 1: racist and abuse power? Right? So, and then they're also

906
00:48:55,560 --> 00:48:57,920
Speaker 1: writing the legislation, you know what I mean? So, and

907
00:48:58,080 --> 00:49:02,760
Speaker 1: told there's more. I don't know how you solve more

908
00:49:02,760 --> 00:49:05,440
Speaker 1: white men are going to be police officers there, you

909
00:49:05,440 --> 00:49:07,680
Speaker 1: know what I mean. I don't know how you connect

910
00:49:07,920 --> 00:49:09,880
Speaker 1: how do you stop this? Well, it's definitely not with

911
00:49:09,920 --> 00:49:12,839
Speaker 1: those viral videos or they're like these cops were breakdancing

912
00:49:12,840 --> 00:49:14,600
Speaker 1: at a barbecue. It's like no, no, no no, no, no, no.

913
00:49:15,000 --> 00:49:16,719
Speaker 1: Start on the local level. I always say it's going

914
00:49:16,760 --> 00:49:19,640
Speaker 1: to start these local precincts. Someone has to stand up

915
00:49:19,680 --> 00:49:22,239
Speaker 1: and be like this is complete and utter, or just

916
00:49:22,280 --> 00:49:24,799
Speaker 1: discuss or just say, hi, guess what. You cannot kill

917
00:49:24,840 --> 00:49:28,600
Speaker 1: people without consequence. Cops are also gangs, like cop is

918
00:49:28,719 --> 00:49:31,400
Speaker 1: gang gang like, it's such a gang like. That's why

919
00:49:31,600 --> 00:49:33,680
Speaker 1: with all the blue stuff, all that they stick together.

920
00:49:33,719 --> 00:49:36,600
Speaker 1: They protect each other when they do murders, they coverage up,

921
00:49:36,640 --> 00:49:39,440
Speaker 1: they cover each other's asses. Like, how do you get

922
00:49:39,520 --> 00:49:44,120
Speaker 1: rid of a gang mentality in a rogue organization. It's

923
00:49:44,160 --> 00:49:47,600
Speaker 1: just that you have to destructure it. It can't be

924
00:49:47,800 --> 00:49:51,359
Speaker 1: just like these tiny little tweaks two laws. We have

925
00:49:51,440 --> 00:49:54,080
Speaker 1: to have some hardcore legislation that makes people think twice

926
00:49:54,080 --> 00:49:55,879
Speaker 1: before they bust a cap and somebody's act. And that's

927
00:49:55,880 --> 00:49:57,680
Speaker 1: why I think, you know, and these are the kinds

928
00:49:57,680 --> 00:50:00,080
Speaker 1: of things that I think everyone here considers when you

929
00:50:00,120 --> 00:50:02,480
Speaker 1: look at a presidential candidate, because you have candidates who

930
00:50:02,560 --> 00:50:05,279
Speaker 1: might not think this is an issue, or they do,

931
00:50:05,360 --> 00:50:07,520
Speaker 1: but only pay lip service to it, or other people

932
00:50:07,600 --> 00:50:10,399
Speaker 1: say no, this is my fucking plan because we have

933
00:50:10,520 --> 00:50:13,560
Speaker 1: just systemic racism has completely creeped into our justicey ism

934
00:50:13,600 --> 00:50:16,760
Speaker 1: and that has to be ended. And you need leaders,

935
00:50:16,800 --> 00:50:20,319
Speaker 1: you need people of color in leadership position, and you

936
00:50:20,360 --> 00:50:24,080
Speaker 1: need white people in leaders of color who advocate for

937
00:50:24,080 --> 00:50:28,440
Speaker 1: people of color. Sound yeah yeah, and saying this is

938
00:50:28,440 --> 00:50:31,000
Speaker 1: a problem, but we have not all of her leaders.

939
00:50:31,840 --> 00:50:35,840
Speaker 1: They would never they're not going to be anti cop,

940
00:50:36,280 --> 00:50:38,400
Speaker 1: yeah what I mean, they're just that's how it'll be

941
00:50:38,440 --> 00:50:41,560
Speaker 1: framed to like, no, no, no, I'm I'm anti people

942
00:50:41,560 --> 00:50:43,879
Speaker 1: who think they can get away with murders simply because

943
00:50:43,880 --> 00:50:47,040
Speaker 1: they have a badge. That's really this is the line,

944
00:50:47,040 --> 00:50:50,359
Speaker 1: like we you cannot it's we're against power abusers those

945
00:50:50,360 --> 00:50:52,759
Speaker 1: people having to be police officers. Then maybe that's how

946
00:50:52,760 --> 00:50:55,040
Speaker 1: it's falling, But I think that's how it would always

947
00:50:55,080 --> 00:50:57,680
Speaker 1: be spun to try and be like accountability means you're

948
00:50:57,719 --> 00:51:00,480
Speaker 1: a hater. But now it's worse than ever because literally

949
00:51:00,600 --> 00:51:05,399
Speaker 1: at the top is like just a blatant white supremacist,

950
00:51:05,760 --> 00:51:11,560
Speaker 1: like blatant. So if it's now you think like, yeah,

951
00:51:11,640 --> 00:51:14,600
Speaker 1: I mean to me, it's worse than ever. I don't

952
00:51:14,600 --> 00:51:17,719
Speaker 1: know how you can get worse, you know what I mean,

953
00:51:17,760 --> 00:51:20,000
Speaker 1: Like you have to look to the leaders, like people

954
00:51:20,040 --> 00:51:22,680
Speaker 1: always try to like look up to these inspirational models,

955
00:51:23,280 --> 00:51:27,600
Speaker 1: and we have the world, we have the worst. Well,

956
00:51:28,440 --> 00:51:30,680
Speaker 1: let's think more about that as we take a break,

957
00:51:30,719 --> 00:51:43,279
Speaker 1: and we'll be right back. And we're back, And I

958
00:51:43,400 --> 00:51:45,600
Speaker 1: just wanted to bring up the tail of a possible

959
00:51:45,600 --> 00:51:48,120
Speaker 1: scam or not a scammer. Just an interesting moment on

960
00:51:48,160 --> 00:51:51,920
Speaker 1: social media right because Instagram is a mirage on our

961
00:51:51,920 --> 00:51:55,160
Speaker 1: phone that a lot of people mistake for real life. UM.

962
00:51:55,200 --> 00:52:00,520
Speaker 1: And recently there's a lifestyle influencer blogger even what then

963
00:52:00,600 --> 00:52:03,960
Speaker 1: that is really from Nashville, UM, who was getting some

964
00:52:04,040 --> 00:52:08,640
Speaker 1: unwanted attention after posting about a motorcycle accident she had

965
00:52:08,840 --> 00:52:10,880
Speaker 1: during a photo shoot. And people are saying like she

966
00:52:11,040 --> 00:52:14,719
Speaker 1: staged the accident and it was possibly a branded post. Now,

967
00:52:14,760 --> 00:52:18,439
Speaker 1: this woman, Tiffany Mitchell, when BuzzFeed News was asking around

968
00:52:18,480 --> 00:52:20,480
Speaker 1: because they saw sort of what was happening on Instagram

969
00:52:20,520 --> 00:52:23,399
Speaker 1: around this this post, she said, I would never turn

970
00:52:23,440 --> 00:52:26,400
Speaker 1: a very important personal story like this into a brand campaign.

971
00:52:26,480 --> 00:52:28,400
Speaker 1: I'm sad that some people are taking it that way.

972
00:52:28,880 --> 00:52:32,360
Speaker 1: She would also asked BuzzFeed not proceed with writing this

973
00:52:32,400 --> 00:52:36,439
Speaker 1: story as it would quote draw negative attention. Um. Now,

974
00:52:36,480 --> 00:52:38,960
Speaker 1: if you look at the photos, it starts off as like,

975
00:52:39,040 --> 00:52:40,680
Speaker 1: let me tell you about the shoot. We did very

976
00:52:40,680 --> 00:52:44,840
Speaker 1: glamorous stuff on a motorcycle. Um, and then something happened.

977
00:52:44,880 --> 00:52:47,440
Speaker 1: She slid off her bike and scraped her body up.

978
00:52:47,920 --> 00:52:52,680
Speaker 1: But when you look at the photos, they look like, ah,

979
00:52:52,920 --> 00:52:58,600
Speaker 1: they look stagecycle accident, but make a fashion. Yes, she

980
00:52:58,840 --> 00:53:01,400
Speaker 1: is like kind of like she's posed, like she's giving

981
00:53:01,440 --> 00:53:04,240
Speaker 1: me Tyra arms. Tyra Banks always talks about like if

982
00:53:04,320 --> 00:53:06,279
Speaker 1: you want to make a skinnier arm, pull it away

983
00:53:06,280 --> 00:53:09,879
Speaker 1: from your body. She's giving me from the body. She's

984
00:53:09,920 --> 00:53:13,120
Speaker 1: popping shoulder, she's and and also she's giving me glaze.

985
00:53:13,160 --> 00:53:16,280
Speaker 1: So she's giving me smart water, she's giving me branded

986
00:53:16,320 --> 00:53:23,160
Speaker 1: content money, she's giving me like road kill, road flag roots,

987
00:53:23,239 --> 00:53:26,359
Speaker 1: like honey um. And so it makes it a little

988
00:53:26,360 --> 00:53:28,960
Speaker 1: difficult to believe that this was an actual moment. Well,

989
00:53:29,040 --> 00:53:31,839
Speaker 1: I definitely see this is the thing like they say

990
00:53:31,880 --> 00:53:34,239
Speaker 1: it was branded, because there is this one photo where

991
00:53:34,280 --> 00:53:37,839
Speaker 1: like this you know, chiseled man is like standing over

992
00:53:37,920 --> 00:53:39,560
Speaker 1: her and she's like on the ground, like with her

993
00:53:39,600 --> 00:53:41,880
Speaker 1: head in her hand, like how could this have happened?

994
00:53:42,080 --> 00:53:44,440
Speaker 1: And there's just a big gass smart water bottle, like right,

995
00:53:44,600 --> 00:53:46,439
Speaker 1: it's like more of the kind of a focal point

996
00:53:46,440 --> 00:53:50,480
Speaker 1: of the entire frame. Is anybody seeing an accident? Like seriously,

997
00:53:50,640 --> 00:53:54,440
Speaker 1: like everybody's seeing an accident? Does this look like a

998
00:53:54,600 --> 00:54:01,080
Speaker 1: horrible accident? It looks like accident. I fell over recently.

999
00:54:01,360 --> 00:54:04,120
Speaker 1: My croc cuts stuck between the table and my cat,

1000
00:54:04,719 --> 00:54:08,600
Speaker 1: and they're they're malleable, and I fell on my I

1001
00:54:08,640 --> 00:54:12,440
Speaker 1: thought I was dying. Nothing happened with the photos, and

1002
00:54:12,480 --> 00:54:15,279
Speaker 1: the photos would have been like, oh my god, you're

1003
00:54:15,320 --> 00:54:17,759
Speaker 1: close to death. I was crying. There was a cat

1004
00:54:17,840 --> 00:54:20,439
Speaker 1: over me, licking my phone air and say out once

1005
00:54:20,480 --> 00:54:27,200
Speaker 1: you three. I mean you look like a garbage person

1006
00:54:27,239 --> 00:54:29,440
Speaker 1: when you get into an accent. I fell and I

1007
00:54:29,480 --> 00:54:33,200
Speaker 1: looked terrible. This woman supposedly got into a motorcycle rack.

1008
00:54:33,320 --> 00:54:35,480
Speaker 1: We saw her scars, so it looks like the injuries

1009
00:54:35,520 --> 00:54:41,840
Speaker 1: that could have happened anyway. Okay, this woman's name Tiffany.

1010
00:54:42,520 --> 00:54:46,239
Speaker 1: Here's there's so many problems with this Stewart. I just

1011
00:54:46,280 --> 00:54:48,560
Speaker 1: scrolled through. I don't know who she is, I don't care,

1012
00:54:49,000 --> 00:54:51,520
Speaker 1: And it was like I was like, oh, who's this

1013
00:54:51,560 --> 00:54:53,400
Speaker 1: hot lady that fell off a bike? It was a

1014
00:54:53,560 --> 00:54:57,640
Speaker 1: Lesbo re enactment for me, it was I just was like,

1015
00:54:57,760 --> 00:54:59,680
Speaker 1: this is a model shoot. If you looked at those

1016
00:54:59,719 --> 00:55:02,960
Speaker 1: photo as you would think, oh it's a night shoot,

1017
00:55:03,120 --> 00:55:07,840
Speaker 1: it's a filmed Yeah, it was felt it was the

1018
00:55:08,000 --> 00:55:11,560
Speaker 1: lighting is perfect, she looked perfect. She looked amazing. I've

1019
00:55:11,600 --> 00:55:15,359
Speaker 1: never seen someone I'm just saying, why why, But this

1020
00:55:15,440 --> 00:55:17,640
Speaker 1: is where her defense we're talking about it now. Her

1021
00:55:17,680 --> 00:55:20,480
Speaker 1: defense was like, well, Lindsay, if you know Lindsay, she

1022
00:55:20,640 --> 00:55:24,279
Speaker 1: captures everything. Who's the photographer on the back of the bike.

1023
00:55:24,320 --> 00:55:27,280
Speaker 1: That say a small clip of her defending this because

1024
00:55:27,280 --> 00:55:30,520
Speaker 1: it's like a ten minute Instagram video. But when you

1025
00:55:30,600 --> 00:55:33,399
Speaker 1: hear her voice, thing like, if you know Lindsay at all,

1026
00:55:33,440 --> 00:55:35,920
Speaker 1: she always has her camera with her for everything, Like

1027
00:55:35,960 --> 00:55:37,640
Speaker 1: you got to hang out at a friends, she's there

1028
00:55:37,719 --> 00:55:40,759
Speaker 1: that she's documenting. She documents, that's her art, that's how

1029
00:55:40,800 --> 00:55:44,560
Speaker 1: she expresses herself, that's how she tells and share stories.

1030
00:55:45,160 --> 00:55:48,960
Speaker 1: So Lindsay was there, she was shooting, and when my

1031
00:55:49,160 --> 00:55:52,719
Speaker 1: bike went down, Um, my friends were immediately at my side,

1032
00:55:52,760 --> 00:55:56,640
Speaker 1: including Lindsay, making sure when my bike went down, does

1033
00:55:56,719 --> 00:55:59,120
Speaker 1: she just Lindsay is just like clairvoyant. She just pops

1034
00:55:59,200 --> 00:56:01,560
Speaker 1: up on crime scene. No, that's like her, that's like

1035
00:56:01,640 --> 00:56:04,600
Speaker 1: her photographer, I know. But like she was, there was something,

1036
00:56:04,880 --> 00:56:07,640
Speaker 1: so there was a shoot happening. Can she admit that? Yeah,

1037
00:56:07,680 --> 00:56:09,360
Speaker 1: she said that. She says that there's a shoot. But

1038
00:56:09,360 --> 00:56:11,799
Speaker 1: what she saws us is thought when her bike went down,

1039
00:56:12,120 --> 00:56:14,720
Speaker 1: which I was really just trying to understand, like how

1040
00:56:14,760 --> 00:56:18,000
Speaker 1: a bike goes down? Um, so basically when my bike

1041
00:56:18,040 --> 00:56:20,000
Speaker 1: went down, and by that, I'm in, like I fell

1042
00:56:20,040 --> 00:56:23,719
Speaker 1: and had a minor script um, I re enacted a

1043
00:56:23,719 --> 00:56:27,240
Speaker 1: traumatic motorcycle engine. Now, she did have an ex boyfriend

1044
00:56:27,239 --> 00:56:31,400
Speaker 1: in who unfortunately passed away in a motorcycle accident, and

1045
00:56:31,480 --> 00:56:34,440
Speaker 1: she was trying to liken this event to that, So

1046
00:56:34,560 --> 00:56:38,479
Speaker 1: that would be doubly why you would never do this? Sure,

1047
00:56:38,640 --> 00:56:40,759
Speaker 1: why where was Lindsay when I fell over with my

1048
00:56:40,840 --> 00:56:44,120
Speaker 1: crocks on? I am in? But that's what Lindsay does.

1049
00:56:45,320 --> 00:56:47,040
Speaker 1: But I think that's the thing. A lot of people

1050
00:56:47,040 --> 00:56:49,040
Speaker 1: in the comments of her posts were sort of like, well,

1051
00:56:49,320 --> 00:56:51,960
Speaker 1: hold on, Like, if you really fell over like that,

1052
00:56:51,960 --> 00:56:53,680
Speaker 1: why don't your friend put the camera now and make

1053
00:56:53,719 --> 00:56:55,080
Speaker 1: sure you're okay? But I mean, like you know what,

1054
00:56:55,160 --> 00:56:57,560
Speaker 1: this is some tent but this is why I also

1055
00:56:57,600 --> 00:56:59,279
Speaker 1: can kind of believe that because we do live in

1056
00:56:59,280 --> 00:57:02,120
Speaker 1: a world where someone like lendis like this might be

1057
00:57:02,160 --> 00:57:04,719
Speaker 1: a little fucking classless or weird, but I'm just gonna

1058
00:57:04,760 --> 00:57:07,120
Speaker 1: start taking these photos because there might be frames or

1059
00:57:07,160 --> 00:57:09,480
Speaker 1: she looks actually like she was in an accident but

1060
00:57:09,520 --> 00:57:11,719
Speaker 1: they only got like the good ones, or maybe she's like,

1061
00:57:11,719 --> 00:57:14,440
Speaker 1: you know, strike a post. I don't know this. Tar

1062
00:57:14,560 --> 00:57:16,680
Speaker 1: toed a lot and had a lot of like traffic

1063
00:57:16,680 --> 00:57:18,480
Speaker 1: misfortunate and stuff. And I also, I am just very

1064
00:57:18,520 --> 00:57:21,760
Speaker 1: active on Instagram stories. I do Instagram story crazy ship

1065
00:57:21,800 --> 00:57:25,160
Speaker 1: that happens in my life and like grab crazy moments. However,

1066
00:57:25,480 --> 00:57:29,520
Speaker 1: I've never been in the situation where I was like

1067
00:57:29,680 --> 00:57:32,560
Speaker 1: hurt and was like no, please get it for the

1068
00:57:32,600 --> 00:57:39,520
Speaker 1: Graham right Like I this story makes me wanna retire

1069
00:57:39,960 --> 00:57:43,240
Speaker 1: to like Hawaii and like sell weed and be a

1070
00:57:43,280 --> 00:57:47,160
Speaker 1: librarian like this is this is like I can't with this.

1071
00:57:47,760 --> 00:57:50,400
Speaker 1: I think the accident happens, but I think that she

1072
00:57:50,560 --> 00:57:53,160
Speaker 1: overdramatized it, and I for sure think that she's lying

1073
00:57:53,160 --> 00:57:55,640
Speaker 1: about the extent of trauma that she feels just because

1074
00:57:55,680 --> 00:57:58,880
Speaker 1: of the when of you watch this ten minute video.

1075
00:57:59,000 --> 00:58:02,120
Speaker 1: She uses so many adjectives and so little statements. It

1076
00:58:02,280 --> 00:58:06,640
Speaker 1: was like it was a life change and traumatic. Um,

1077
00:58:06,680 --> 00:58:09,200
Speaker 1: it was cold, but it was also hot. It was

1078
00:58:09,240 --> 00:58:13,200
Speaker 1: like seventy Chris, Okay, I'm still not getting any information.

1079
00:58:13,480 --> 00:58:16,720
Speaker 1: Listen to me road. The wind was coming from the east,

1080
00:58:17,440 --> 00:58:20,040
Speaker 1: and my friend Lindsay I picked up her camera and

1081
00:58:20,080 --> 00:58:22,640
Speaker 1: I can't Meanwhile, she's in the back like Lindsay Burn

1082
00:58:22,760 --> 00:58:29,560
Speaker 1: nose Burn photos archive. This post make me pred also

1083
00:58:29,640 --> 00:58:32,160
Speaker 1: says that she documents her life in a very raw way.

1084
00:58:32,240 --> 00:58:34,760
Speaker 1: But if you were to go to her Instagram, literally,

1085
00:58:34,840 --> 00:58:39,040
Speaker 1: it's a pumpkin spice filter on everything. Ever, everything looks

1086
00:58:39,120 --> 00:58:41,360
Speaker 1: it looks like you're looking through an old empty cup

1087
00:58:41,440 --> 00:58:44,600
Speaker 1: of pumping spice. Yeah, it's all like very orangy and

1088
00:58:44,880 --> 00:58:48,040
Speaker 1: very like purposeful or everyone just has bad fake tans.

1089
00:58:48,120 --> 00:58:52,160
Speaker 1: What does she do? I'm just I'm not I'm really wondering,

1090
00:58:52,240 --> 00:59:03,840
Speaker 1: like does she lifestyle blogger? Okay, I'm I've actually just

1091
00:59:03,920 --> 00:59:06,080
Speaker 1: stopped as a human. This woman probably owns a house.

1092
00:59:06,120 --> 00:59:08,320
Speaker 1: I just want to look out a claw foot bathtub

1093
00:59:08,480 --> 00:59:13,160
Speaker 1: that I can't with this Instagram YouTube, Like I it

1094
00:59:13,360 --> 00:59:18,600
Speaker 1: makes me crazy. Yeah, your veins are popping out. People

1095
00:59:18,720 --> 00:59:21,800
Speaker 1: have skills, Tiffany, now listen to if Tip's got some

1096
00:59:21,880 --> 00:59:24,120
Speaker 1: skills to build an audience like that, it definitely takes

1097
00:59:24,160 --> 00:59:27,280
Speaker 1: a lot more. Yeah, I know, I should. I should.

1098
00:59:27,440 --> 00:59:30,040
Speaker 1: I hope she First of all, I hope she feels better.

1099
00:59:30,200 --> 00:59:32,840
Speaker 1: I'm not I'm not a terrible human, but I just

1100
00:59:33,440 --> 00:59:36,320
Speaker 1: those photos made me like my immediate reaction was like,

1101
00:59:37,080 --> 00:59:41,600
Speaker 1: this is she is just someone sneeze and blow her away? Right? Yeah, well,

1102
00:59:41,960 --> 00:59:46,000
Speaker 1: you know this is nineteen y'all. Is I guess I'm

1103
00:59:46,040 --> 00:59:50,400
Speaker 1: just I'm aged out of this. I want to see

1104
00:59:50,480 --> 00:59:51,920
Speaker 1: so I don't have to look at it. Yeah, I

1105
00:59:52,000 --> 00:59:55,600
Speaker 1: just don't know the light. The whole influencer thing is

1106
00:59:55,640 --> 00:59:58,000
Speaker 1: just such a I mean, I get why people are

1107
00:59:58,080 --> 01:00:00,160
Speaker 1: so into it, but yeah, when you see s where

1108
01:00:00,160 --> 01:00:01,880
Speaker 1: it's like this part of me is like, yeah, it's

1109
01:00:01,920 --> 01:00:04,600
Speaker 1: someone who like just took a smidge of what really

1110
01:00:04,680 --> 01:00:07,640
Speaker 1: happened and then exploited it. And that's what could I

1111
01:00:07,720 --> 01:00:09,480
Speaker 1: think that's really what happened. But that's when you're like,

1112
01:00:09,960 --> 01:00:15,200
Speaker 1: that's when you start going unfollowed. It's also very much

1113
01:00:15,360 --> 01:00:17,840
Speaker 1: like the influencer and Ingrid goes west like she's a

1114
01:00:17,920 --> 01:00:20,960
Speaker 1: cartoonish version of an influencer, because our influencers who are

1115
01:00:21,000 --> 01:00:23,080
Speaker 1: doing cool stuff. But listen, this is one of her

1116
01:00:23,120 --> 01:00:27,840
Speaker 1: captions hashtag ad Guys, I'm super gigging out over this

1117
01:00:28,000 --> 01:00:31,560
Speaker 1: collaboration that I got to do with herbal Essences. I

1118
01:00:31,640 --> 01:00:34,920
Speaker 1: am so nostalgic about this brand, like it goes on

1119
01:00:36,280 --> 01:00:38,840
Speaker 1: having an orgasm in the showers, because that's what those

1120
01:00:38,840 --> 01:00:41,320
Speaker 1: commercials were about, right, I just admit of the studied

1121
01:00:41,520 --> 01:00:45,720
Speaker 1: orgasm and what happened to those commercials? Man? Remember the

1122
01:00:46,040 --> 01:00:51,280
Speaker 1: people like remember, yes, yes, maybe she was shooting a

1123
01:00:51,360 --> 01:00:54,520
Speaker 1: herbal Essence video when she fell off from you. I

1124
01:00:54,640 --> 01:00:56,840
Speaker 1: hope feminism took care of those and women were like,

1125
01:00:56,960 --> 01:01:02,720
Speaker 1: we want of shamp orcasm art for lessons you have

1126
01:01:02,840 --> 01:01:07,440
Speaker 1: to rub on my clip? What help means of rose

1127
01:01:07,600 --> 01:01:11,000
Speaker 1: blossom lessons to takes to make me have an orgasm?

1128
01:01:12,080 --> 01:01:14,480
Speaker 1: I want a quarter of the peach container and that's

1129
01:01:14,520 --> 01:01:17,200
Speaker 1: all I'm putting on my I'm sure they're guys back then,

1130
01:01:17,240 --> 01:01:20,600
Speaker 1: we're like, well, have you tried? Maybe that'll hope we

1131
01:01:20,640 --> 01:01:22,560
Speaker 1: don't live in that time anymore. Frank, you get down

1132
01:01:22,560 --> 01:01:25,400
Speaker 1: there and you eat this box, this ship the out

1133
01:01:25,560 --> 01:01:31,120
Speaker 1: hometown buffet is open. Oh Man. On that note, Aaron,

1134
01:01:31,440 --> 01:01:36,640
Speaker 1: thank you so much for joining us. I am going

1135
01:01:36,680 --> 01:01:39,360
Speaker 1: to try to work that into my conversation three more

1136
01:01:39,440 --> 01:01:42,480
Speaker 1: times too. Yeah, where can people find you and follow you?

1137
01:01:42,560 --> 01:01:45,640
Speaker 1: Thank you, thank you for joining us anymore. I am

1138
01:01:45,760 --> 01:01:49,760
Speaker 1: absolutely I'll be doing a motorcycle shoot in twenty minutes.

1139
01:01:50,320 --> 01:01:52,720
Speaker 1: I'm gonna go back to my Jetta and just pretend

1140
01:01:53,400 --> 01:01:55,600
Speaker 1: I died on the on the roof and pretend it's

1141
01:01:56,160 --> 01:01:58,200
Speaker 1: real slow with it. I can hit you real slow

1142
01:01:58,280 --> 01:02:01,640
Speaker 1: with it. Instead of Lindsay, I have Lacey. Lacey captured

1143
01:02:01,680 --> 01:02:04,439
Speaker 1: this moment. I've given up and I'm on the roof

1144
01:02:04,520 --> 01:02:08,040
Speaker 1: of my Jetta. Uh. If I'm still alive, I'll be

1145
01:02:08,120 --> 01:02:11,560
Speaker 1: at erink foley dot com. And that's what all my

1146
01:02:11,640 --> 01:02:14,960
Speaker 1: tour dates are. And too much Information and Sports without

1147
01:02:15,040 --> 01:02:18,919
Speaker 1: Balls is my podcast. I kind of rebranded the whole

1148
01:02:19,000 --> 01:02:23,040
Speaker 1: thing and now I'm just interviewing female athletes and coaches

1149
01:02:23,080 --> 01:02:27,480
Speaker 1: and reporters um and just getting their fun, amazing sports stories.

1150
01:02:27,560 --> 01:02:30,320
Speaker 1: So awesome, super That's my favorite thing I do with

1151
01:02:30,400 --> 01:02:34,240
Speaker 1: my life. Boom and chilling and self care. And I'm

1152
01:02:34,280 --> 01:02:38,760
Speaker 1: sitting and which is the rock? Let the river move

1153
01:02:38,800 --> 01:02:42,520
Speaker 1: around you? Aaron is their tweet that you like. Barbara Gray.

1154
01:02:42,920 --> 01:02:45,440
Speaker 1: Last night she had an amazing tweet Lady I saw

1155
01:02:45,480 --> 01:02:49,440
Speaker 1: your lady to lady. Yes, it was about a woman

1156
01:02:50,480 --> 01:02:53,600
Speaker 1: explaining the plot of Terminator to a guy at a

1157
01:02:53,720 --> 01:02:57,680
Speaker 1: wine bar and she said, what glass ceiling? It made

1158
01:02:57,720 --> 01:03:00,600
Speaker 1: me so hard. This is from at apps Great. I

1159
01:03:00,760 --> 01:03:03,240
Speaker 1: just heard a woman explaining the plot of Terminator in

1160
01:03:03,440 --> 01:03:06,200
Speaker 1: detail to her date at a wine bar in Los Feels.

1161
01:03:06,920 --> 01:03:14,320
Speaker 1: What glass ceiling? That was my favorite? Too lazy? How

1162
01:03:14,360 --> 01:03:16,960
Speaker 1: about you? We're gonnaeople find you follow you, Yes, guys,

1163
01:03:17,000 --> 01:03:18,800
Speaker 1: as always. You can find me at d I V

1164
01:03:19,000 --> 01:03:22,480
Speaker 1: A l A c I DVA Lacey on all platforms, Twitter,

1165
01:03:22,560 --> 01:03:24,760
Speaker 1: Instagram and the Like. Guys. You can follow scam got

1166
01:03:24,920 --> 01:03:28,240
Speaker 1: us my podcast. It comes about October one on Earwolf.

1167
01:03:28,800 --> 01:03:30,760
Speaker 1: You can follow scam got us for updates at scam

1168
01:03:30,840 --> 01:03:33,080
Speaker 1: got us pot on Twitter and scam got us pot

1169
01:03:33,200 --> 01:03:35,560
Speaker 1: on Instagram, or email us at scam got his pod

1170
01:03:35,600 --> 01:03:38,560
Speaker 1: at gmail dot com. With your scams that you've retired,

1171
01:03:38,640 --> 01:03:40,800
Speaker 1: the ones that you'll have given me have been so lit.

1172
01:03:41,000 --> 01:03:43,240
Speaker 1: I love you guys so much. Tweets that I am

1173
01:03:43,520 --> 01:03:46,320
Speaker 1: also watch Florida Girls. You can still extream Floridags on

1174
01:03:46,360 --> 01:03:49,280
Speaker 1: Pop TV, Amazon and also on Itune Sunny first two

1175
01:03:49,320 --> 01:03:51,800
Speaker 1: episodes puff Free, y'all came on my Instagram and told

1176
01:03:51,800 --> 01:03:53,680
Speaker 1: me I was still in it um, but I'm glad

1177
01:03:53,720 --> 01:03:56,120
Speaker 1: that y'all stole some and then decided to purchase. I

1178
01:03:56,160 --> 01:03:59,600
Speaker 1: appreciate that kind of scam, But did they I know,

1179
01:04:00,080 --> 01:04:02,120
Speaker 1: trust but I know where they at though, because they

1180
01:04:02,160 --> 01:04:04,400
Speaker 1: commented on my Instagram post. Don't think on a screenshot.

1181
01:04:04,760 --> 01:04:06,840
Speaker 1: I know I know where y'all lat. I told the

1182
01:04:06,960 --> 01:04:11,520
Speaker 1: f C C ABC. I told everybody, uh and tweets

1183
01:04:11,600 --> 01:04:15,480
Speaker 1: that I am enjoying. I'm gonna say my own tweet

1184
01:04:15,920 --> 01:04:19,160
Speaker 1: and uh, that is hey, man, if you want to

1185
01:04:19,200 --> 01:04:21,560
Speaker 1: have access to women who are way out of your league,

1186
01:04:21,800 --> 01:04:30,680
Speaker 1: start doing comedy. I second that we see some raggedy

1187
01:04:30,800 --> 01:04:34,840
Speaker 1: man with some bad bitches, and they'd be dumping up too.

1188
01:04:34,880 --> 01:04:38,240
Speaker 1: I'm like, how do you jump a badmage? If I

1189
01:04:38,280 --> 01:04:40,200
Speaker 1: wish if I had the confidence of an improviser, I

1190
01:04:40,400 --> 01:04:44,360
Speaker 1: wish I started dating a dad Gene New Balance High,

1191
01:04:45,560 --> 01:04:50,320
Speaker 1: three cats, four roommates, and he dumped me. No, you

1192
01:04:50,360 --> 01:04:54,560
Speaker 1: don't dump me. Neil about to look like Andrea Risen's mansion.

1193
01:04:57,360 --> 01:04:59,560
Speaker 1: All right, you can find me and follow me at

1194
01:04:59,600 --> 01:05:01,680
Speaker 1: Miles Gray on Twitter, Instagram. A tweet I like is

1195
01:05:01,720 --> 01:05:04,320
Speaker 1: from at Nelly Chillen. I saw this from a retweet

1196
01:05:04,400 --> 01:05:07,440
Speaker 1: from our man Christie. I'm a Gucci man, but if

1197
01:05:07,560 --> 01:05:09,200
Speaker 1: this is the tweet from us, he said, I just

1198
01:05:09,240 --> 01:05:12,400
Speaker 1: saw motherfucker's French in Haley Jewels Smoke. Man, maybe men

1199
01:05:12,440 --> 01:05:18,560
Speaker 1: don't really deserve rights rent and Haley Jewels Smoke looks.

1200
01:05:18,840 --> 01:05:20,520
Speaker 1: I can see that ship in my mind and having

1201
01:05:20,560 --> 01:05:24,439
Speaker 1: the same rexcellent um. And you can follow us Daily

1202
01:05:24,520 --> 01:05:27,360
Speaker 1: Zeitgeist at Daily's I guess on Twitter, at the Daily

1203
01:05:27,440 --> 01:05:31,080
Speaker 1: Zeitgeist on Instagram. Got a Facebook fan page. You know.

1204
01:05:31,200 --> 01:05:33,640
Speaker 1: Daily Guys is a production by Heart Radio. For more podcasts,

1205
01:05:33,640 --> 01:05:36,240
Speaker 1: I got the heart Radio app or Apple podcast. We

1206
01:05:36,280 --> 01:05:38,800
Speaker 1: also have a website Daily see Guys dot com where

1207
01:05:38,840 --> 01:05:42,040
Speaker 1: it posts our episodes and our food notes thank you,

1208
01:05:42,760 --> 01:05:45,200
Speaker 1: and you know that's where I post our episodes and

1209
01:05:45,520 --> 01:05:49,280
Speaker 1: the songs we ride out on this right out song

1210
01:05:49,800 --> 01:05:51,800
Speaker 1: is going to be coming from Okay, I was. I

1211
01:05:51,880 --> 01:05:53,280
Speaker 1: had one of those moments where you can hear a

1212
01:05:53,320 --> 01:05:55,720
Speaker 1: song playing in your head and you cannot figure out

1213
01:05:55,720 --> 01:05:57,320
Speaker 1: what the funk the name is, but you're seeing the

1214
01:05:57,480 --> 01:06:00,560
Speaker 1: entire thing, and no one else knows the song because

1215
01:06:00,600 --> 01:06:02,760
Speaker 1: it's like too deep of a cut that only you remember.

1216
01:06:03,240 --> 01:06:05,640
Speaker 1: Just by the grace of God, someone said the band

1217
01:06:05,760 --> 01:06:10,800
Speaker 1: name out loud. I overheard in a conversation, no single,

1218
01:06:10,840 --> 01:06:14,360
Speaker 1: actually yourself. No, no, just someone heard it and I

1219
01:06:14,440 --> 01:06:16,320
Speaker 1: was like, Oh, that's what it is. Anyway. This is

1220
01:06:16,840 --> 01:06:19,520
Speaker 1: the group Kings of Convenience and it's called Scars on

1221
01:06:19,680 --> 01:06:22,000
Speaker 1: Land And it's like an acoustic it's hard trek, but

1222
01:06:22,080 --> 01:06:24,200
Speaker 1: it's got. It just reminds me of like smoking a

1223
01:06:24,320 --> 01:06:28,840
Speaker 1: cigarette in the rain or something out there. Many life.

1224
01:06:29,680 --> 01:06:34,240
Speaker 1: Just be still to the street beast, still my heart. Um. Okay,

1225
01:06:34,440 --> 01:06:37,280
Speaker 1: so check that song out, um, and we'll catch you tomorrow.

1226
01:06:37,560 --> 01:06:40,600
Speaker 1: Dad will be back and all will be right. Okay,

1227
01:06:40,680 --> 01:06:50,680
Speaker 1: talk to you then. By the wade of Land. I'm

1228
01:06:50,880 --> 01:07:11,920
Speaker 1: so send the idea muss again to outcome no change