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Speaker 1: Hello the Internet, and welcome to season one, seventy six,

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Speaker 1: episode three of the production of I Heart Radio. This

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Speaker 1: is a podcast where we take a deep dive into

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Speaker 1: America's share consciousness. It's Wednesday, mar My name is Jack

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Speaker 1: O'Brien a K. I'm the Jackman jacko BA Miles g

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Speaker 1: daily Zy. That's all we got. H That is courtesy

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Speaker 1: of I Believe the Official, the one and only official Dickhead.

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Speaker 1: That's Trussel and I am thrilled to be joined as

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Speaker 1: always by my co host, Mr Miles grad goes my

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Speaker 1: Shiro Hero watch Ashy Phils dinner. No no no no

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Speaker 1: no no no no no no no no no no go.

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Speaker 1: Sary is extraordinary. Okay, so I guess because Shiro Hero

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Speaker 1: Sharine's a display name on Twitter. Park is back to

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Speaker 1: the Food Fighters a little just nostalgia moment we had

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Speaker 1: in the Trends episode. Thanks to skip for that. Any

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Speaker 1: time to get my roll on. They'll can't believe that's

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Speaker 1: a Food Fighters song? Um, well we are. You don't

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Speaker 1: believe that it? Yeah, I still don't believe you. I

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Speaker 1: think you're allowing to me. We are thrilled to be

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Speaker 1: joined in our third seat by the brilliant, the hilarious,

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Speaker 1: the talented Chelsea Devonte. We're happy. That's my phone. Love it.

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Speaker 1: What's new? Nothing, don't be crazy. We're not allowed to

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Speaker 1: ask what's new until I don't know? Next fall better

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Speaker 1: than what did you want? How you doing? So? Yeah,

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Speaker 1: that's what I'm saying because about just like I see

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Speaker 1: your pain, I feel your pain. Welcome and I recognize

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Speaker 1: that to start off, we feel your pain. Welcome you. Okay,

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Speaker 1: thank you. Wow. Now I feel so comforted and welcome.

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Speaker 1: No good vibes, Morning vibes only, morning vibes only. Yeah, um,

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Speaker 1: you know, it feels a little better as we're sort

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Speaker 1: of like singing the light at the end of the

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Speaker 1: tunnel for the pandemic, it feels a little better. I

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Speaker 1: did start trying to train my needy quarantine dog to

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Speaker 1: get ready for a day when I leave the house,

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Speaker 1: and it's going horrifically. So that's what's new with me.

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Speaker 1: Oh nice? My uh four year old still covers his

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Speaker 1: mouth every time he walks outside, so he's it's my

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Speaker 1: quarantine dog. Oh my god. I hope, I hope when

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Speaker 1: he is a middle aged man he's still has very

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Speaker 1: good I think it's actually pretty considerate, to be honest.

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Speaker 1: More people should just cover their mouths like he's going

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Speaker 1: to have like a Tom Hardy thing, except in real life.

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Speaker 1: Instead of never showing his mouth in movies, he just

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Speaker 1: will never show his mouth period. In general. It's very

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Speaker 1: like a Cia move, like she didn't show her face.

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Speaker 1: He's talking yeah, yeah, and then she got rid of

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Speaker 1: that a few years and so he'll be face und Yeah,

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Speaker 1: it'll be fine. He'll be fine. Scorpions sub zero vibes.

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Speaker 1: It's some sort of superhero origin story, or it could

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Speaker 1: be a Mortal Kombat bad guy. I don't know, I

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Speaker 1: don't know where, I know what I'm hoping for. You know,

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Speaker 1: as a kid, I always wanted to be a Mortal

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Speaker 1: Kombat bad guy, but never could. So my unfulfilled dreams

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Speaker 1: will push him in that direction for sure, Chelsea. We

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Speaker 1: are going to get to know you a little bit

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Speaker 1: better in a moment. First, we're gonna tell our listeners

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Speaker 1: a couple of things we're talking about. We are, of

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Speaker 1: course going to talk about another mass shooting, this time

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Speaker 1: in Boulder, Colorado. Uh. We're gonna talk about the uh,

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Speaker 1: the narrative that's been around for a while that, Um,

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Speaker 1: the silver lining of the pandemic is that there have

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Speaker 1: been fewer mass shootings, which isn't exactly true. I mean

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Speaker 1: I guess like based on very specific definitions it's true,

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Speaker 1: but actually overall shootings are up. We'll uh say, with

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Speaker 1: all our back for fox sake, Joe Biden. Uh he's

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Speaker 1: now back on his I don't know about this whole

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Speaker 1: uh killing the filibuster. Uh. We'll talk about Ellen, We'll

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Speaker 1: talk about a game changing UFO report that could be coming.

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Speaker 1: All of that plenty more. But first, Chelsea, we like

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Speaker 1: to ask our guests, what is something from your search

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Speaker 1: history that's revealing about who you are, what you're up to,

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Speaker 1: where you know what? Let me open it right now

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Speaker 1: this live intense drumroll please okay. UM. I was recently

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Speaker 1: looking up Dolly Parton's husband, Carl Dean. Um the enigma

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Speaker 1: that is Carl Deane because um, you know, as you

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Speaker 1: guys know, I have the podcast Celebrity Book Club where

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Speaker 1: I read celebrity memoirs and I always thought of Dolly partners,

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Speaker 1: you know, an enigma, and we don't know anything about Carl,

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Speaker 1: And then you read her nineteen autobiography and You're like,

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Speaker 1: there's a ship ton about Carl and here, I mean

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Speaker 1: there's too much. There's too much. She's like, she describes you, guys,

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Speaker 1: Carl Deane. I don't know if you saw this coming

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Speaker 1: because you are you are you Dolly Parton fans? Yeah,

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Speaker 1: I mean we're we're Dolly fan adjacent. So the lore

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Speaker 1: intersects with the show pretty often. I think the last

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Speaker 1: time we talked about Carl Deane, we were just like

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Speaker 1: laughing at how like norm core he was. But then

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Speaker 1: then how that like kind of made sense for them

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Speaker 1: as a that's amazing. I'm gonna ruin that for you too.

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Speaker 1: Oh yes, please do. Because then my other thing was

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Speaker 1: like maybe he's a freak. Um no, he's not a

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Speaker 1: total freak. But but here's like a story she told

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Speaker 1: about him of like like a friend and I'm I'm paraphrasing,

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Speaker 1: I'm gonna get something wrong. She would she told stories

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Speaker 1: about bits. Carl likes to do. Carl all loves bits.

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Speaker 1: I don't know if he's not not more than that,

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Speaker 1: like your comedian manentering type, like he loves bits. He

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Speaker 1: has a solid chunk on the Trader. Joe's the Trader,

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Speaker 1: Joe's um, not saying it, but like a physical he

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Speaker 1: loves a physical gag. So apparently, like to to make

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Speaker 1: one of her friends laugh, he put on these like

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Speaker 1: huge like a huge necklace of like cow teeth and

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Speaker 1: maybe like a weird hat that went with it, like

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Speaker 1: a full you know, full thing comes walking in and

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Speaker 1: stuck to the bit for nine hours, nine hours of

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Speaker 1: having a cow teeth like just just a fooky outfit on. Yeah,

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Speaker 1: and I think I think he was also playing a character.

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Speaker 1: I think he had a voice, oh yeah. And then

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Speaker 1: there's another story about how she was at a concert

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Speaker 1: once and like looked over and Carl had just joined

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Speaker 1: the band and was like singing with the bands, like

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Speaker 1: faking yeah, and then like as part of their coupledom,

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Speaker 1: she had him arrested by the cops, like this stranger

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Speaker 1: wandered on stage with us, Please arrest this man who's

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Speaker 1: as like part of it, like Carl will find this

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Speaker 1: hilarious him. And then here's the third layer. They've never

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Speaker 1: acknowledged it to each other, and Dolly says, Carl likes

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Speaker 1: the jokes better that wait, so this rule so he

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Speaker 1: doesn't know that she had him arrested, so he knows.

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Speaker 1: They just it's like a committing to the bit of

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Speaker 1: like he pretended to be a stranger, She pretended he

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Speaker 1: was a stranger to aim arrested, he did his bid

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Speaker 1: like a boss six months. Yeah, it doesn't drop, it

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Speaker 1: doesn't call it out. Yeah. So yeah, So if if

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Speaker 1: you're a Dolly head and you want to know about

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Speaker 1: Carl Dean, pick up the book or there wasn't my podcast.

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Speaker 1: Honestly that's a better plug, but were talking about it

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Speaker 1: or that it just it is so norm core and

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Speaker 1: that she has a juvenile, annoying how has been annoying

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Speaker 1: the funk out of her and then get arrested. But

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Speaker 1: then you're kind of into that too, because you're like,

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Speaker 1: that's my contribution. Yeah, He's like he's got like weird

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Speaker 1: dead vibes, like the silly dad who's like always doing

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Speaker 1: bad dad jokes but like taking them too far to

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Speaker 1: the point that it makes everybody uncomfortable. Yes, yes, although

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Speaker 1: I I I love this Carl is norm core theory,

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Speaker 1: But I I feel like if Carl were Norm Coore

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Speaker 1: when Dolly got famous, he would have got competitive, divorced

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Speaker 1: her or tried to be her manager and then of

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Speaker 1: those things happened and he's still with her, and like,

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Speaker 1: lets her clearly have an open marriage that he doesn't

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Speaker 1: participate in. So that's where I'm just like, oh, I

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Speaker 1: don't know that. Is it an open marriage? It is,

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Speaker 1: I will tell you this from reading the book and

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Speaker 1: from her interview with Barbara Walters, there's no way it's

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Speaker 1: not an open marriage. However, Dolly is the one in

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Speaker 1: the open Carl. She says, I believe Carl, I'm the

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Speaker 1: only person he's ever been with with all my heart.

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Speaker 1: And then in other parts of the book she's like,

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Speaker 1: I've never met a man I didn't want to have

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Speaker 1: sex with. And then in the Q and A she

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Speaker 1: it's of like a very funny Q and A. In

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Speaker 1: the back of the book, they say, have you ever

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Speaker 1: cheated on Carl? And she said, that's, uh, that's for

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Speaker 1: me to know and for you and Carl to find out.

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Speaker 1: I mean, is that her being witty or you think

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Speaker 1: that's her just kind of being like, yeah, I cheat,

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Speaker 1: but I'm gonna give you a cute and I'm gonna

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Speaker 1: be a com um. I mean, she is definitely she

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Speaker 1: loves to joke her away at the truth. However, in

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Speaker 1: the book. She's also like, I'm so horny. I mean

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Speaker 1: throughout the she's like, I'm so horny. I love sex, um,

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Speaker 1: and I didn't know if I could believe in God,

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Speaker 1: but now I do because I can have sex. I

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Speaker 1: love sex. And me and Carl Dean don't live together

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Speaker 1: often and I often don't see him. So the math

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Speaker 1: equation on that to me is like, Okay, I mean

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Speaker 1: Dolly's getting it in. Yeah. If she's not, I'm devastated,

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Speaker 1: so I'm just to leave. But yeah, the Barbara Walter's

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Speaker 1: interview I thought made it clear if they have an

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Speaker 1: open marriage. Yeah, okay, it's it's like literally impossible for

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Speaker 1: her to like every detail that you just said makes

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Speaker 1: her more endearing. She's just maybe the most endearing human ever.

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Speaker 1: I totally agree. I totally agree. The only unendearing thing

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Speaker 1: about her is that she uh hates the word feminist.

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Speaker 1: But other than that, I feel like even on like

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Speaker 1: she's I feel like she comes around on black lives

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Speaker 1: matters issues and you think he has done wrong, feels

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Speaker 1: like we call her out, she she changes, is accountable. Yeah,

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Speaker 1: well we hold her in high regard. But yeah, now

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Speaker 1: the whole time, we're like man, was Carl just getting

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Speaker 1: cucked the whole time? Was like, well she with Burt

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Speaker 1: Reynolds or was that just like his kink where he's

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Speaker 1: like tender with them? That's we because we've actually the

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Speaker 1: last time we brought him up was in the context

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Speaker 1: of like does she cheat and if she does, does

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Speaker 1: he know? Does he like that or does he just

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Speaker 1: likes he knows? Oh, he knows. And also what I

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Speaker 1: love about the Burt Reynolds thing is that he Burt

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Speaker 1: Reynolds wrote his memoir n that's when Dolly Partons came out.

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Speaker 1: In his memoir, He's like, maybe me and Dolly Parton

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Speaker 1: had a thing. I'll never tell you, but she wanted

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Speaker 1: to fuck me. And in Dolly Parton's memoir she writes,

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Speaker 1: I could never funck Burt Reynolds. He's like a brother

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Speaker 1: to me. We both wear wigs and high heels. And

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Speaker 1: it came out the same year, like they already published

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Speaker 1: when they both had to look at each other and

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Speaker 1: be like few people know. Carl Deane was the photographer

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Speaker 1: on that Burt Reynolds bear skin photos back. Yeah, uh,

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Speaker 1: what is something you think is overrated? Chelsea? You know

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Speaker 1: right now? For me, Twitter, Twitter, because you know, I

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Speaker 1: was at first with Twitter like you will hear us.

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Speaker 1: The media will not tell us our voice. We will

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Speaker 1: tell you our voice. And then you know, after the

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Speaker 1: last election, when um, white women voters went up, I

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Speaker 1: was like, you know, I don't think it is helping,

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Speaker 1: and I previously thought it was. And now I'm kind

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Speaker 1: of at a place where, uh, it's it's where I

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Speaker 1: just I used to log in every day with Glee

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Speaker 1: and the Joys dying white women Trump voters, yes, yeah, yeah,

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Speaker 1: right right right, yeah. Not well, maybe white women voters

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Speaker 1: and numbers also went up, but maybe that was Taylor

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Speaker 1: Swift tweeting, so maybe there's a positive effects. But yeah, yeah,

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Speaker 1: Trump voters going up, just in terms of like, you know,

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Speaker 1: I feel like often logg you know, I feel like

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Speaker 1: we're getting woker and language shifts every day and a

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Speaker 1: lot of like things have come to my attention via

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Speaker 1: Twitter that wouldn't have before, and so it's like, yes,

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Speaker 1: we're changing, we're moving, um and lately on days on

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Speaker 1: Twitter where I'm like, we're absolutely not and and not

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Speaker 1: only are we neutral, Twitter's uh making us go backwards, right, yeah, Yeah,

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Speaker 1: It's it's such a like quadruple edged sword and you

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Speaker 1: don't know which end you're gonna catch whenever you open

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Speaker 1: the fucking thing. Yeah. And then sometimes it's a grenade

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Speaker 1: and you're like, what the fuck, it's an envelope full

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Speaker 1: of rising Yeah. Yeah, And and every time I remember

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Speaker 1: like only seven percent of Americans are on Twitter, then

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Speaker 1: I'm able to ingest the news with more clarity because

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Speaker 1: it's just not the same world. Yeah, and it actually

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Speaker 1: like edit to itself to what it thinks you want

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Speaker 1: to hear. So that's also not healthy. Probably, Yeah, why

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Speaker 1: social media, I think, but we all deal with it.

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Speaker 1: I think it's just like very It's like we can

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Speaker 1: see the good when there's good in it. But then,

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Speaker 1: like I think a lot of us are rapidly being

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Speaker 1: like have reached or at least for me, like a

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Speaker 1: threshold where like I can no longer compartmentalize the things

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Speaker 1: that make me anxious about being there, and it's like overflowing.

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Speaker 1: So I'm like, nope, not have to great boundaries. So

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Speaker 1: a dabble like when I need to sort of catch

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Speaker 1: up on something, but yet yes, feels like there was

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Speaker 1: a humanity in it. You know, when you tweet, you

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Speaker 1: don't feel like you're a human in a room, but

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Speaker 1: even more so now in the pandemic, you don't even

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Speaker 1: feel like a human anymore. So what people are sending now,

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Speaker 1: you're sort of feel like people are forgetting what this

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Speaker 1: tool is for and how it should be used. Yeah,

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Speaker 1: it's like basically the scrawling on like this side of

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Speaker 1: like a prison cave wall, like where people are like, wow,

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Speaker 1: look what they etched into the walls, these desperate people

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Speaker 1: trying to escape. Yeah, yeah, it's bathroom graffitient of it. Yeah,

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Speaker 1: what is something you think is underrated? Deep diving on

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Speaker 1: the piers Morgan Megan markle of the bottom because you know,

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Speaker 1: at headline you're like, oh, he said he didn't believe

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Speaker 1: that she had suicidal ideations. Now he's fired. But then

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Speaker 1: when you look into it and that interview that actually

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Speaker 1: got him in trouble, a reporter had the balls to

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Speaker 1: be like, Megan used to be your friend. She doesn't

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Speaker 1: talk to you any more, and now you can't take it.

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Speaker 1: And he was like god, he like storms off his

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Speaker 1: own set, and I was like, wait, they were friends,

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Speaker 1: and this is all over petty where it's like, oh,

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Speaker 1: it's racism, it's not understanding mental health, but at the

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Speaker 1: core of it that bitch wanted to be friends with

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Speaker 1: the princess and he's so mad that she won't be

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Speaker 1: his friend. Yeah, yeah, I thought, Oh man, I just

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Speaker 1: it was Yeah, it really was interesting to see, like

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Speaker 1: how the momentum for his storming off was building. The

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Speaker 1: second that guy Alex was like starting to pivot to like, well,

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Speaker 1: here's the thing YouTube and I was like, oh no,

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Speaker 1: like what are what are we learning? And then yeah,

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Speaker 1: when he blew the top, he was like, oh, it's

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Speaker 1: so it's so incredible to see someone be like I

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Speaker 1: say scathing things and you can't take it. And then

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Speaker 1: he uh he couldn't even sit still on his own set, sir,

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Speaker 1: classic you know what I mean? Yeah, right, the second

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Speaker 1: Oh like okay, well now let me put you under

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Speaker 1: the microscope there, like, oh no, it has nothing to

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Speaker 1: do with my friendship. You're like, because I'm racist. I'm racist,

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Speaker 1: and I take I have a bad perspective on mental

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Speaker 1: health issues. It's not because I'm thirsty. Did he think

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Speaker 1: people weren't going to find that clip of him talking

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Speaker 1: about how like she goes to him and now that's

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Speaker 1: how his feelings are hurt. Most people behave who have

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Speaker 1: shipped on the internet, like she can't be found. No, yeah,

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Speaker 1: that it's so true. He's like really was just like

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Speaker 1: we're going to move on from that. But I will

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Speaker 1: say I think that I think it worked, which pisces

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Speaker 1: me off, Like I think a lot of people are

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Speaker 1: like Pierce Morgang got fired because you know, he's racist

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Speaker 1: and right and he and he's like, you know, uh,

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Speaker 1: calling out snowflakes until we got fired, and where it's like, no,

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Speaker 1: I really wish there was better reporting on, Like he's

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Speaker 1: really upset that she won't be friends with him, and

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Speaker 1: that would take away his narrative of I've been bullied,

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Speaker 1: cancel cultures out of control, like all those hot button

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Speaker 1: phrases he gets to use would be gone if you said,

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Speaker 1: like if she texted you, would this be over? If

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Speaker 1: I've been canceled from our group text she removes me

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Speaker 1: from the thread. It goes green now when I send it,

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Speaker 1: it can't be she does the little Megan Marco liked it,

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Speaker 1: but she doesn't say words right. It's actually quite heartbreaking.

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Speaker 1: I think he said that. Yeah, I mean it's it's

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Speaker 1: very Trumpian. It's very like I think it ties back

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Speaker 1: to you know, you're overrated, that you can just lie

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Speaker 1: and even though there is evidence out there that this

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Speaker 1: is actually just you having a temper tantrum because somebody

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Speaker 1: doesn't want to be your friend, because most people are

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Speaker 1: finding out about the story from a artificial intelligence that

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Speaker 1: like will filter that information out because it's not doesn't

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Speaker 1: fit in with like the narrow If they want to know,

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Speaker 1: then like, you can just lie, Like you don't even

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Speaker 1: have to worry about what the truth is at this point.

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Speaker 1: You just you can lie from one sentence to the

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Speaker 1: next and just know that, uh, some people are going

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Speaker 1: to get the one sentence and other people are going

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Speaker 1: to get the other sentence, and yeah it doesn't matter.

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Speaker 1: Yeah it's a bleak, a bleak takeaway, and yet it

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Speaker 1: totally is what's happening right now. Honestly, remind you a

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Speaker 1: coworker I had where they would um be really cruel

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Speaker 1: and mean to everyone and then show up, you know,

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Speaker 1: we'd have big outbursts and then the next day they

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Speaker 1: would showing me like, hi, how are you? We should

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Speaker 1: get drinks, And really, in my head I'd be like,

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Speaker 1: I guess everything's fine. Maybe that maybe I did blow

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Speaker 1: that out of proportion, and we are friends, you know,

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Speaker 1: it's like a phenomenal tactic. Yeah, keep people off footed,

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Speaker 1: you know, you're like we're solid ground. Yeah. Yeah. One

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Speaker 1: of my first bosses was so incredibly cruel in email

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Speaker 1: and then like so nice to your face, and it

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Speaker 1: was just like such a fucking gas lighting thing. It

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Speaker 1: was so weird, but it was like exclusive, like it

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Speaker 1: was always mean an email, like unequivocal rather than like

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Speaker 1: this sort of vagueness of the written word, like he

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Speaker 1: was like, well, like hey, you fuck wit what I

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Speaker 1: say about Yeah, like just a complete dick. And then yeah,

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Speaker 1: that's like that's some coward ship though, because you got

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Speaker 1: the energy in the email. But when I pulled up,

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Speaker 1: I r L. You're like he would be like a

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Speaker 1: door like in his office and I'm like twenty ft away,

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Speaker 1: and he'd send an email that was like so mean,

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Speaker 1: and then I walk in and he'd be like, oh

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Speaker 1: what's that man, like like I'm sorry, so disturbing. But

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Speaker 1: he was a lawyer, and I think maybe that is

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Speaker 1: like lawyers use like words to attack and like make

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Speaker 1: things as I'm also making excuses for him. I think

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Speaker 1: he might don't defer him. Don't have a theory that

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Speaker 1: you know when they say like, oh, um, when you

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Speaker 1: get drunk, you know, your truths come out. I think

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Speaker 1: when you tweet or email, your true personality comes out.

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Speaker 1: And I don't think it's like you know, people like, oh,

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Speaker 1: they're insufferable on Twitter, but they're so cool in person.

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Speaker 1: You know, it's it's a bummer they're insufferable on Twitter.

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Speaker 1: My theory is that they are insufferable, they just learned

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Speaker 1: how to hide it in person, right, yeah, yeah, yeah,

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Speaker 1: Well you know, what are we gonna do? What does

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Speaker 1: it matter? We're not hanging out. We don't see you

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Speaker 1: get it? I get why. You know a lot of

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Speaker 1: those invitations are turned down. Now I am pretty insufferable.

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Speaker 1: But Chelsea, before we move on, I do just wanna

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Speaker 1: your first time on the show, you mentioned that you

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Speaker 1: had seen Trump' selection and then Biden's elections coming because

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Speaker 1: you watched The Bachelor, and just like through reading the

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Speaker 1: Bachelor tea leaves, you were able to, like end of

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Speaker 1: make some predictions about where the culture was headed, which

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Speaker 1: is like catnip for this show is like the perfect

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Speaker 1: cross section of things are show cares about. So I

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Speaker 1: I did want to ask, because a lot has been

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Speaker 1: going on in the world as a Bachelor, Uh, what

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Speaker 1: does it mean? Do you have any takeaways from this season? Yeah,

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Speaker 1: and I mean listen. I think my greatest thing ever

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Speaker 1: that happened to me this year was on your show,

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Speaker 1: predicting Biden it would win from the Bachelor. That that

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Speaker 1: is my crown, my shining moment um. So that said,

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Speaker 1: this season, for anyone who's not watching or didn't watch,

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Speaker 1: it's over now. Uh. They the first black Bachelor and

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Speaker 1: they had more women of color than ever in history

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Speaker 1: as as their contestants, and at the end of it,

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Speaker 1: he picked a white woman who went to slave parties. Uh.

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Speaker 1: Two years ago, three years ago. I think we are

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Speaker 1: headed it. It is heinous. We are headed. When people

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Speaker 1: are like the race wars are coming, I was like, no,

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Speaker 1: they're not After the Bachelor, and yes they are. Yes

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Speaker 1: they are. Um, because did you guys watch the After

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Speaker 1: the Rows where you know where they handled it and

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Speaker 1: Chris Harrison wasn't even the host And yeah, so they

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Speaker 1: for for that show. I'm saying not in contexts of

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Speaker 1: the world before that show. Both of them, both Matt

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Speaker 1: the Bachelor and Rachel the former winner. They've broken up

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Speaker 1: since I thought handled that as good as you possibly

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Speaker 1: could for the show and really made salient points, and

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Speaker 1: she really was taking accountability also not wasting our time

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Speaker 1: with um apologies, Like it was like whoever coached them?

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Speaker 1: Phenomenal phenomenal team there. Yeah, and like really talked about

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Speaker 1: like why what she did was truly fucked up and

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Speaker 1: how much it hurt him, this man she loves, and

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Speaker 1: and fans still got online to be like, fuck you, Matt,

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Speaker 1: how dare you break up with her for being racist

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Speaker 1: three years ago? She's changed, you know, And and they

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Speaker 1: like yelled at him, and there's accounts defending her, and

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Speaker 1: she'll even say like, please don't make these accounts. Um,

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Speaker 1: I'm trying to learn and to be a better person.

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Speaker 1: Please stop attacking Matt and being racist, And they're like, no,

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Speaker 1: fuck you, Rachel, You're great. This guy sucks. You're great

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Speaker 1: for me, yes, yeah, And it's like we watched we

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Speaker 1: watched a love story. We watched the most nuanced version

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Speaker 1: of how your ignorance becomes racism and ruins the love

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Speaker 1: of your life. And people still walked away being like, nah,

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Speaker 1: she's great, she's great. He sucks. I don't know if

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Speaker 1: just it feels like the sort of part in parcel

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Speaker 1: though in general, where it's like yeah, at the end

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Speaker 1: of the day, like they're just certain things. America isn't

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Speaker 1: gonna fully be on board and saying objectively it's bad,

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Speaker 1: like manticizing the Antebellum South is not like people like yeah,

415
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Speaker 1: that's fucked up, might be like, oh, come on, no, no,

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Speaker 1: eighteen the capital hadn't even been stormed yet. Yeah, But

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Speaker 1: I think it's like the tread of progress I feel

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Speaker 1: like that has occurred is that people will be like, yeah, okay,

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Speaker 1: those parties are bad, but then where it stops is

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Speaker 1: where they're like, but she's just a college kid, and

421
00:24:26,640 --> 00:24:29,439
Speaker 1: even though we've decided they're bad, who who's to know

422
00:24:29,480 --> 00:24:30,840
Speaker 1: what she in college? And I don't know, you know,

423
00:24:30,880 --> 00:24:34,120
Speaker 1: who's to say? And also we should forgive her immediately,

424
00:24:34,680 --> 00:24:36,800
Speaker 1: And America is definitely not ready to be like no,

425
00:24:37,000 --> 00:24:40,320
Speaker 1: there's accountability that has to happen and not understanding that

426
00:24:41,320 --> 00:24:45,960
Speaker 1: makes for a bad interracial relationship in one yeah, or

427
00:24:46,000 --> 00:24:47,320
Speaker 1: I mean, like a lot of people who would get

428
00:24:47,320 --> 00:24:51,040
Speaker 1: interracial relationships, you sometimes you find moments your gob smacks

429
00:24:51,080 --> 00:24:53,000
Speaker 1: that you're with a white person who says anything like

430
00:24:53,040 --> 00:24:56,320
Speaker 1: oh right, right, right, right right, this may be an

431
00:24:56,320 --> 00:25:00,280
Speaker 1: experiment for you, and now I'm then on out of here. Yeah. Yeah,

432
00:25:00,359 --> 00:25:02,119
Speaker 1: the realization many people have. I the one thing that

433
00:25:02,200 --> 00:25:04,040
Speaker 1: I thought was, like, the producers on that show really

434
00:25:04,040 --> 00:25:06,639
Speaker 1: did Matt dirty and like that whole the thing with

435
00:25:06,720 --> 00:25:09,520
Speaker 1: his dad. A lot of it felt very like superficially

436
00:25:09,560 --> 00:25:12,879
Speaker 1: exploitative for this like one dimensional understanding of what it

437
00:25:12,920 --> 00:25:14,720
Speaker 1: meant to be a black person in America. And I

438
00:25:14,760 --> 00:25:17,480
Speaker 1: was like, but that's a but that's ABC. I mean

439
00:25:17,520 --> 00:25:22,320
Speaker 1: ABC did terrific job. And also, um, Rachel the first

440
00:25:22,440 --> 00:25:27,080
Speaker 1: Bachelorette's not Rachel Matt's former girlfriend. She's just so phenomenal.

441
00:25:27,119 --> 00:25:28,960
Speaker 1: I feel like she has done so much for the

442
00:25:28,960 --> 00:25:31,480
Speaker 1: country by existing on that show. I I she is

443
00:25:31,520 --> 00:25:35,639
Speaker 1: my president. And she very rightly pointed out on on

444
00:25:35,680 --> 00:25:38,840
Speaker 1: Twitter that you know the stereotype that black men abandon

445
00:25:38,880 --> 00:25:42,040
Speaker 1: their sons, and then ABC with the first black Bachelor,

446
00:25:42,160 --> 00:25:44,160
Speaker 1: just like gave that so much air time. I think

447
00:25:44,280 --> 00:25:46,359
Speaker 1: it sounds like some white producer was like, all right,

448
00:25:46,400 --> 00:25:48,879
Speaker 1: so he's gonna offer a promise ring that's a bummer.

449
00:25:48,920 --> 00:25:51,040
Speaker 1: He's not gonna actually engage he's going to offer a promise, ring,

450
00:25:51,119 --> 00:25:53,560
Speaker 1: let's bring his dad on and that'll be the through

451
00:25:53,600 --> 00:25:56,560
Speaker 1: line for why he's actually not gonna get engaged tomorrow.

452
00:25:56,600 --> 00:25:59,560
Speaker 1: And everyone was like, yeah, let's escape. Got the black

453
00:25:59,600 --> 00:26:02,439
Speaker 1: community d for the result we didn't expect as producers

454
00:26:02,440 --> 00:26:05,440
Speaker 1: who are now, Wow, it's America like at every level

455
00:26:05,480 --> 00:26:08,439
Speaker 1: in general. So yeah, yeah, yeah, and also, you know,

456
00:26:08,520 --> 00:26:10,760
Speaker 1: just to pretend that anyone woke would ever get on

457
00:26:10,800 --> 00:26:15,280
Speaker 1: that show is also hilarious. Yeah, exactly the Yeah, but

458
00:26:15,280 --> 00:26:17,439
Speaker 1: then it all depends what's how woke are you? But

459
00:26:17,480 --> 00:26:20,679
Speaker 1: also how much are you chasing that influencer buck? You

460
00:26:20,680 --> 00:26:23,560
Speaker 1: know what I mean, that's really what because as an

461
00:26:23,560 --> 00:26:29,040
Speaker 1: economical economical decision just phenomenal, A woke keeps your broke,

462
00:26:29,280 --> 00:26:35,080
Speaker 1: you know the old saying on ABC that is almost

463
00:26:35,119 --> 00:26:41,439
Speaker 1: definitely being said at this moment. Yeah for sure. All right,

464
00:26:41,600 --> 00:26:44,439
Speaker 1: let's take a quick break and we'll be right back.

465
00:26:55,040 --> 00:26:59,840
Speaker 1: And we're back, uh, and we're back to the high

466
00:26:59,840 --> 00:27:04,480
Speaker 1: profile uh mass shooting. Another one at the beginning of

467
00:27:04,520 --> 00:27:11,040
Speaker 1: this week in Boulder, Colorado. Um, so almost like clockwork

468
00:27:11,160 --> 00:27:14,240
Speaker 1: that these start happening again. We'll we'll talk in a

469
00:27:14,280 --> 00:27:18,160
Speaker 1: second about the myth that they ever stopped, ever stopped,

470
00:27:18,240 --> 00:27:21,639
Speaker 1: or that gun violence ever stopped. But this particular type

471
00:27:21,760 --> 00:27:26,360
Speaker 1: of mass shooting where there's more than four people who

472
00:27:26,440 --> 00:27:31,800
Speaker 1: die besides the gunmen, which very specific taxonomy that we're

473
00:27:32,480 --> 00:27:36,320
Speaker 1: requiring the absurdity of our times. Yeah, but those ones

474
00:27:36,359 --> 00:27:40,080
Speaker 1: that make that happened in public, that make the culture

475
00:27:40,160 --> 00:27:43,119
Speaker 1: sort of stand still for or fifteen minutes and then

476
00:27:43,160 --> 00:27:47,919
Speaker 1: nobody do anything. Uh, seemed to be back and Fox

477
00:27:47,960 --> 00:27:51,120
Speaker 1: News was was back to, uh, you know, doing their

478
00:27:51,119 --> 00:27:58,119
Speaker 1: responsible coverage of immediately immediately back to just deciding whatever

479
00:27:58,160 --> 00:28:00,800
Speaker 1: the story is. I'm surprised they didn't go for their

480
00:28:00,840 --> 00:28:05,359
Speaker 1: low hanging racist fruit in this instance. Um. But rather

481
00:28:05,440 --> 00:28:07,960
Speaker 1: than do that, uh and say like this is some

482
00:28:08,080 --> 00:28:12,040
Speaker 1: kind of extremist terrorism or something like that, now they're saying, uh,

483
00:28:12,119 --> 00:28:15,960
Speaker 1: it has to do with the Black Lives Matter protests. Um.

484
00:28:16,119 --> 00:28:20,360
Speaker 1: So Sean Hannity had Damn Bongino on, and Hannity's there,

485
00:28:20,400 --> 00:28:21,960
Speaker 1: there's a clip I don't even want to hear his voice.

486
00:28:21,960 --> 00:28:26,679
Speaker 1: He's the saying, quote, obviously very scary, horrific shooting at Boulder. Uh.

487
00:28:26,800 --> 00:28:29,320
Speaker 1: Then he goes on to say, you know, we're often

488
00:28:29,359 --> 00:28:31,840
Speaker 1: reminded and then we forget, remember what do we want

489
00:28:31,920 --> 00:28:34,320
Speaker 1: dead cops? When do we want them now? Pigs in

490
00:28:34,359 --> 00:28:38,560
Speaker 1: a blanket, fry am like bacon, bottles, rocks, bricks, molotov cocktails.

491
00:28:38,560 --> 00:28:42,880
Speaker 1: They're not riots. We were told all summer over cops injured,

492
00:28:43,040 --> 00:28:45,440
Speaker 1: But these are the cops that go put themselves in

493
00:28:45,480 --> 00:28:47,800
Speaker 1: harm's way and in the case, we lost one tonight.

494
00:28:48,080 --> 00:28:50,840
Speaker 1: So he's saying that this is just for whatever reason,

495
00:28:50,880 --> 00:28:53,520
Speaker 1: that's the Black Lives Matter had inspired this person to

496
00:28:53,640 --> 00:28:56,760
Speaker 1: do this um. And then you have Dan Bongino go

497
00:28:56,880 --> 00:29:00,280
Speaker 1: on like just like right after their um, you just

498
00:29:00,320 --> 00:29:03,160
Speaker 1: find his quote he says, yeah, he comes in, Yeah, Sean,

499
00:29:03,200 --> 00:29:05,560
Speaker 1: don't forget what this defund the police? Crowd that wasn't

500
00:29:05,600 --> 00:29:08,960
Speaker 1: a social worker that walked in there, Okay, he said,

501
00:29:08,960 --> 00:29:11,000
Speaker 1: everybody else is racing to get the hell out of there.

502
00:29:11,000 --> 00:29:12,800
Speaker 1: They're going up in the other direction, and now we're

503
00:29:12,800 --> 00:29:15,640
Speaker 1: going to defund the police, disparage the police. So just

504
00:29:15,760 --> 00:29:17,800
Speaker 1: trying to spin all that, I just want to keep

505
00:29:17,800 --> 00:29:20,640
Speaker 1: in mind Dan Bongino, who got his start on n

506
00:29:20,760 --> 00:29:23,920
Speaker 1: R A t v UM. While you want to say like, yeah,

507
00:29:23,960 --> 00:29:26,080
Speaker 1: you know it's this is this is this people who

508
00:29:26,120 --> 00:29:28,040
Speaker 1: got out in the streets because they were standing in

509
00:29:28,080 --> 00:29:31,880
Speaker 1: opposition to rampant police violence created this mass shooter. It's

510
00:29:31,920 --> 00:29:33,959
Speaker 1: and not you know, completely ignoring the fact it might

511
00:29:34,000 --> 00:29:36,400
Speaker 1: not be the fact that we're failing people in need

512
00:29:36,520 --> 00:29:38,920
Speaker 1: left and right. Um, maybe not the fact that we

513
00:29:38,920 --> 00:29:41,680
Speaker 1: aren't doing anything at all to even curb gun violence.

514
00:29:41,720 --> 00:29:45,160
Speaker 1: So why even factor that into your analysis, or the

515
00:29:45,160 --> 00:29:47,640
Speaker 1: fact that the n r A was shifting on a

516
00:29:47,720 --> 00:29:52,280
Speaker 1: bill in Colorado a week ago regarding the ban on

517
00:29:52,320 --> 00:29:56,160
Speaker 1: assault rifles. They were this ship the n r A

518
00:29:56,360 --> 00:30:00,320
Speaker 1: just dunked on the state legislature last week to keep

519
00:30:00,720 --> 00:30:03,120
Speaker 1: a band from happening over you know, like they're trying

520
00:30:03,160 --> 00:30:06,120
Speaker 1: to control the amount of assault rifles and high capacity magazines.

521
00:30:06,640 --> 00:30:10,520
Speaker 1: We're out there and here they go. They're just yeah, yeah,

522
00:30:10,520 --> 00:30:13,040
Speaker 1: so that's what was used in the in the shooting

523
00:30:13,280 --> 00:30:18,080
Speaker 1: at thet It's like tales as old as time. And yeah,

524
00:30:18,280 --> 00:30:20,480
Speaker 1: this whole thing was there was a federal lawsuit backed

525
00:30:20,480 --> 00:30:23,360
Speaker 1: by the local n r A chapter to go after

526
00:30:23,400 --> 00:30:27,800
Speaker 1: this local ordinance and then they won. The bankrupt n

527
00:30:27,920 --> 00:30:31,600
Speaker 1: r A. Yes, the bankrupt inn r A is like

528
00:30:31,720 --> 00:30:35,000
Speaker 1: we still have a voice, yeah, because it didn't you

529
00:30:35,040 --> 00:30:38,320
Speaker 1: file for Chapter eleven. But the culture is still there,

530
00:30:38,960 --> 00:30:41,120
Speaker 1: and I mean the organization might not be, but they

531
00:30:41,680 --> 00:30:44,080
Speaker 1: did what they had to do to inundate people with

532
00:30:44,120 --> 00:30:48,440
Speaker 1: this idea of the Second Amendment. And the most fucked

533
00:30:48,520 --> 00:30:50,680
Speaker 1: up thing is right, this is just kind of like

534
00:30:50,720 --> 00:30:53,120
Speaker 1: a This is just part and parcel with how a

535
00:30:53,120 --> 00:30:55,880
Speaker 1: lot of states who are trying to control gun violence

536
00:30:56,280 --> 00:30:59,400
Speaker 1: end up like just button heads with the n r

537
00:30:59,440 --> 00:31:01,800
Speaker 1: A and how they it down. So you know, a

538
00:31:01,880 --> 00:31:07,000
Speaker 1: year after Combine, Colorado had a Republican legislature. The first

539
00:31:07,000 --> 00:31:10,040
Speaker 1: thing they did shielded gun manufacturers from lawsuits. That so

540
00:31:10,240 --> 00:31:12,160
Speaker 1: like we we we see how the party works in

541
00:31:13,280 --> 00:31:17,360
Speaker 1: democratic legislature. And then hick and Looper democratic governor had

542
00:31:17,440 --> 00:31:20,760
Speaker 1: little like modest gun control that they were backing just

543
00:31:20,840 --> 00:31:24,640
Speaker 1: to regulate the firearms. Pro gun groups, they mounted like

544
00:31:24,800 --> 00:31:28,480
Speaker 1: recall campaigns that were successful against the lawmakers who backed

545
00:31:28,520 --> 00:31:32,959
Speaker 1: the measures. They were successful recall campaigns. And then on Monday,

546
00:31:33,040 --> 00:31:34,960
Speaker 1: as the news is being reported, the n r A

547
00:31:35,000 --> 00:31:37,720
Speaker 1: tweeted out the text of the Second Amendment as the

548
00:31:37,760 --> 00:31:40,520
Speaker 1: news was being reported, like in response, I mean, and

549
00:31:40,560 --> 00:31:44,120
Speaker 1: I don't I'm who knows, but the way that when

550
00:31:44,160 --> 00:31:47,280
Speaker 1: the news breaks and then what when they're tweeting. They're

551
00:31:47,280 --> 00:31:50,400
Speaker 1: tweeting ship out about the Second Amendment, which is probably

552
00:31:50,880 --> 00:31:53,640
Speaker 1: makes sense because this is usually what happens. We start

553
00:31:53,680 --> 00:31:56,800
Speaker 1: now well maybe have some kind of functioning debate about

554
00:31:56,800 --> 00:31:59,400
Speaker 1: gun control. But that's why they have to evoke the

555
00:31:59,440 --> 00:32:02,720
Speaker 1: Second Amend meant to be like, this is what's at stake, folks. Well,

556
00:32:02,760 --> 00:32:05,720
Speaker 1: I don't think they were tweeting out in response to

557
00:32:05,800 --> 00:32:07,960
Speaker 1: the gun raillance. I think a seven year old man

558
00:32:08,000 --> 00:32:10,600
Speaker 1: open Twitter n r A at n r A two

559
00:32:10,680 --> 00:32:13,440
Speaker 1: years ago and has been trying to make that tweet

560
00:32:13,880 --> 00:32:17,080
Speaker 1: and finally figured it out and was after two years

561
00:32:17,120 --> 00:32:19,800
Speaker 1: the seven year old running that account tweeted it and

562
00:32:19,920 --> 00:32:24,200
Speaker 1: was like, damn it, what was it? But yeah, I

563
00:32:24,200 --> 00:32:26,200
Speaker 1: mean they're already on their ship though, you know, because

564
00:32:26,200 --> 00:32:28,640
Speaker 1: Schumer's talking about gun control and everything, so then are

565
00:32:28,720 --> 00:32:31,960
Speaker 1: already has statements. So yeah, yeah, absolutely it is. It

566
00:32:32,040 --> 00:32:34,160
Speaker 1: is interesting to you to wonder, how, you know, because

567
00:32:34,200 --> 00:32:38,600
Speaker 1: they've just bought so many senators and uh people in

568
00:32:38,640 --> 00:32:41,000
Speaker 1: the House with n r A money for their votes

569
00:32:41,520 --> 00:32:44,720
Speaker 1: and now being bankrupt. I am curious if the debate

570
00:32:44,720 --> 00:32:46,880
Speaker 1: will be affected going forward, or if there are too

571
00:32:46,880 --> 00:32:49,520
Speaker 1: many other pro gun groups with twho can fill that

572
00:32:49,680 --> 00:32:52,560
Speaker 1: economical space. But I wonder if we will make ground.

573
00:32:53,200 --> 00:32:55,040
Speaker 1: I think it's hard because, like, on one level, of

574
00:32:55,120 --> 00:32:57,920
Speaker 1: the sentiment and ideology that the n r A has

575
00:32:57,960 --> 00:33:01,400
Speaker 1: just infused within the populace isn't gonna go away because

576
00:33:01,400 --> 00:33:04,680
Speaker 1: they're bankrupt, like they sold people on the they're gonna

577
00:33:04,720 --> 00:33:09,720
Speaker 1: take your guns. But yeah, I'm curious are those numbers

578
00:33:09,720 --> 00:33:14,360
Speaker 1: and votes, like will that vote currency outweigh the actual

579
00:33:14,440 --> 00:33:17,400
Speaker 1: money they were getting con re election. We'll see, I mean,

580
00:33:17,440 --> 00:33:19,960
Speaker 1: I think that's where we'll see how it'll be clear

581
00:33:20,000 --> 00:33:22,240
Speaker 1: based on how strong the pushback is. But the fact

582
00:33:22,240 --> 00:33:24,320
Speaker 1: that we're not seeing any Republicans be like, yeah, we

583
00:33:24,320 --> 00:33:28,760
Speaker 1: should probably get ahold of ourselves has me believing that

584
00:33:28,840 --> 00:33:30,320
Speaker 1: even if the n r A is not there, that

585
00:33:30,400 --> 00:33:34,880
Speaker 1: they have the voters minds still in the same spot. Yeah,

586
00:33:35,320 --> 00:33:41,520
Speaker 1: gun ownership skyrocketed in right right because again we were saying,

587
00:33:42,280 --> 00:33:44,440
Speaker 1: we can't talk about this without talking about this myth

588
00:33:44,960 --> 00:33:47,760
Speaker 1: that as I was writing it, I was engaging in,

589
00:33:47,840 --> 00:33:50,160
Speaker 1: and then JM. R. Writer was like just bringing up

590
00:33:50,240 --> 00:33:52,040
Speaker 1: this myth about I was like, yeah, you know, with

591
00:33:52,080 --> 00:33:54,360
Speaker 1: mass shootings going down in the pandemic or like we

592
00:33:54,480 --> 00:33:57,680
Speaker 1: felt like we hadn't heard of one, and I mean

593
00:33:57,760 --> 00:34:00,240
Speaker 1: he he posted a couple of headlines and a year

594
00:34:00,280 --> 00:34:03,400
Speaker 1: of paying one silver lining fewer mass shootings. That's from

595
00:34:03,400 --> 00:34:06,280
Speaker 1: the ap Mass shootings in public spaces had become less

596
00:34:06,280 --> 00:34:09,600
Speaker 1: frequent during the pandemic. New York Times mass live. There

597
00:34:09,600 --> 00:34:12,640
Speaker 1: hasn't been a single mass shooting in the US since

598
00:34:12,719 --> 00:34:17,719
Speaker 1: the COVID pandemic took hold. That they are all using, uh,

599
00:34:17,800 --> 00:34:23,560
Speaker 1: this very specific language that defines mass shootings as four

600
00:34:23,560 --> 00:34:27,760
Speaker 1: people dead without the shooter, not counting the shooter. And

601
00:34:28,080 --> 00:34:33,320
Speaker 1: when you look at overall statistics, there were over nineteen

602
00:34:33,360 --> 00:34:38,239
Speaker 1: thousand people killed in firearm related deaths, not including suicides,

603
00:34:38,560 --> 00:34:43,200
Speaker 1: in which is the highest death toll in over twenty years.

604
00:34:44,080 --> 00:34:48,719
Speaker 1: It's literally because we couldn't have big gatherings that mass

605
00:34:48,719 --> 00:34:52,480
Speaker 1: shootings went down, but singular shootings, Yeah, I mean that,

606
00:34:52,560 --> 00:34:56,560
Speaker 1: and like everybody was line enough for guns. Yeah, none,

607
00:34:56,600 --> 00:35:00,640
Speaker 1: ownership shot up, And I mean that's like the messaging

608
00:35:00,760 --> 00:35:05,759
Speaker 1: is so specific, and so you know, it's just like

609
00:35:05,800 --> 00:35:09,000
Speaker 1: the messaging from the year and the way that the

610
00:35:09,040 --> 00:35:12,920
Speaker 1: pandemic was covered and the way that Trump was covered,

611
00:35:12,960 --> 00:35:15,400
Speaker 1: and then the way that the Black Lives Matter protests

612
00:35:15,400 --> 00:35:20,040
Speaker 1: were covered, I feel like, contributes to the you know,

613
00:35:20,200 --> 00:35:24,480
Speaker 1: spike and gun ownership, and then they don't cover the

614
00:35:24,520 --> 00:35:33,600
Speaker 1: actual consequences of that because the the shootings aren't like that,

615
00:35:33,680 --> 00:35:36,520
Speaker 1: and they're happening in in in the earth, you know,

616
00:35:36,640 --> 00:35:38,879
Speaker 1: like where there are people of color. That's where the

617
00:35:38,960 --> 00:35:41,720
Speaker 1: lack of resources and the tension is going to spill

618
00:35:41,760 --> 00:35:44,720
Speaker 1: over into violence. First, it's not gonna happen in fucking

619
00:35:44,760 --> 00:35:50,040
Speaker 1: Beverly Hills. And yeah, it's like the whole idea, like

620
00:35:50,120 --> 00:35:53,680
Speaker 1: the fucking so intentionally tricky right to how we even

621
00:35:53,760 --> 00:35:56,799
Speaker 1: can categorize what a mass shooting is. There's no way

622
00:35:56,840 --> 00:35:58,879
Speaker 1: now to look at all this ship and being like, well,

623
00:35:59,280 --> 00:36:01,959
Speaker 1: is it four pp plus the shooter? Is it three

624
00:36:02,000 --> 00:36:04,800
Speaker 1: people plus the shooter? Is it a two piece plus

625
00:36:04,800 --> 00:36:09,239
Speaker 1: an injury? Like the fact is people are being shot, right,

626
00:36:09,280 --> 00:36:11,480
Speaker 1: and to to start creating all these things and being like, oh,

627
00:36:11,520 --> 00:36:13,600
Speaker 1: well did I cheat? We'll hear there's levels of meat cheating.

628
00:36:13,840 --> 00:36:15,960
Speaker 1: Was it the version where I came and they came

629
00:36:16,000 --> 00:36:19,120
Speaker 1: to Is it version where I came quick and they

630
00:36:19,160 --> 00:36:23,279
Speaker 1: didn't come, she didn't come? Okay, so we're good, are

631
00:36:23,320 --> 00:36:26,000
Speaker 1: you know? Motherfucker? This is still bad? And why and

632
00:36:26,080 --> 00:36:28,320
Speaker 1: like so we get caught up in this like these

633
00:36:28,560 --> 00:36:31,279
Speaker 1: silos of how to differentiate, and then we're left with

634
00:36:31,320 --> 00:36:36,880
Speaker 1: this false narrative while realistically gun violence has skyrocketed. Also,

635
00:36:37,080 --> 00:36:40,320
Speaker 1: when they report on uh gun, you know, gun violence,

636
00:36:40,320 --> 00:36:42,600
Speaker 1: will say, oh, no death, but you know, three people

637
00:36:42,920 --> 00:36:45,920
Speaker 1: had critical wounds. And I think oftentimes, and I know

638
00:36:46,200 --> 00:36:48,040
Speaker 1: I didn't for a long time, you don't realize that

639
00:36:48,080 --> 00:36:51,800
Speaker 1: a critical wound may mean, um, they lost their eye

640
00:36:52,520 --> 00:36:55,279
Speaker 1: or both of their legs are ampty amputated. But they say, oh,

641
00:36:55,320 --> 00:36:57,560
Speaker 1: no one died, No one died, But you know, three

642
00:36:57,560 --> 00:37:01,560
Speaker 1: people with critical injuries, and you don't realize the extent

643
00:37:01,719 --> 00:37:04,160
Speaker 1: of what of what that injury is because you just

644
00:37:04,280 --> 00:37:07,240
Speaker 1: have the relief of no death. And there's a big

645
00:37:07,480 --> 00:37:11,040
Speaker 1: missing detail where like we see the dropping murder rate

646
00:37:11,160 --> 00:37:15,200
Speaker 1: over the past forty or like twenty five years, and

647
00:37:15,320 --> 00:37:18,080
Speaker 1: a lot of that is like advances in emergency medicine

648
00:37:18,239 --> 00:37:21,160
Speaker 1: being able to save people's lives who you know, they

649
00:37:21,200 --> 00:37:25,359
Speaker 1: wouldn't have been able to in the past. So right,

650
00:37:25,719 --> 00:37:29,320
Speaker 1: so thinks like that, it's like, yeah, but we're able

651
00:37:29,360 --> 00:37:32,440
Speaker 1: to save more people, but it's not like people aren't

652
00:37:32,480 --> 00:37:37,200
Speaker 1: trying less. Yeah yeah, yeah, Also Hannity has gotten so

653
00:37:38,640 --> 00:37:43,080
Speaker 1: the quality of his through lines has really gone down.

654
00:37:43,200 --> 00:37:45,359
Speaker 1: Like I mean I checked in maybe a few months

655
00:37:45,400 --> 00:37:47,360
Speaker 1: ago and he was like the deep state, and I

656
00:37:47,440 --> 00:37:51,000
Speaker 1: was like, still, buddy, are you like you? And now

657
00:37:51,120 --> 00:37:55,560
Speaker 1: that loose through line of BLM to this moment, I mean,

658
00:37:56,840 --> 00:38:00,800
Speaker 1: he used to at least have some path you could follow.

659
00:38:01,800 --> 00:38:04,880
Speaker 1: Is too stupid for everybody because everybody got used to

660
00:38:04,920 --> 00:38:09,000
Speaker 1: like the most intellectually nonsensical arguments. But being like, I

661
00:38:09,080 --> 00:38:11,520
Speaker 1: don't know, it's a collection of buzzwords I disagree with.

662
00:38:11,640 --> 00:38:14,160
Speaker 1: So that is an explanation to me. But even even

663
00:38:14,160 --> 00:38:16,600
Speaker 1: if Hannity pulled a Trump and was like gun violence

664
00:38:16,640 --> 00:38:20,400
Speaker 1: is very good. It's the best. We're being great. It's good,

665
00:38:20,480 --> 00:38:23,640
Speaker 1: that would be easier to follow than what he presented.

666
00:38:25,120 --> 00:38:28,160
Speaker 1: It's like, what so there wasn't like this guy attacked

667
00:38:28,160 --> 00:38:30,640
Speaker 1: a bunch of police officers. It just happened to be

668
00:38:30,719 --> 00:38:33,880
Speaker 1: one of the casualties. Was but again that's all they need.

669
00:38:34,440 --> 00:38:37,560
Speaker 1: And you know, now he's vaping during the commercial breaks,

670
00:38:37,600 --> 00:38:40,520
Speaker 1: looking real chill, So is he really? Yeah? That was

671
00:38:40,560 --> 00:38:42,320
Speaker 1: just like a clip of him he got by busted

672
00:38:42,360 --> 00:38:48,279
Speaker 1: and vaping coming back from a commercial, just like that's

673
00:38:48,280 --> 00:38:53,879
Speaker 1: amazing how the laid back like vibe of somebody who's

674
00:38:53,920 --> 00:38:57,880
Speaker 1: out here, you know, objectively feigning the fucking bullshit flames

675
00:38:58,120 --> 00:39:00,799
Speaker 1: while he you know, hits his vape um. Jam was

676
00:39:00,880 --> 00:39:04,560
Speaker 1: pointing out that, first of all, there's no national gun registry,

677
00:39:04,600 --> 00:39:08,400
Speaker 1: so the only way, which in itself is bonkers, but

678
00:39:08,480 --> 00:39:10,640
Speaker 1: the only way we have to gauge gun sales is

679
00:39:10,680 --> 00:39:14,960
Speaker 1: background checks, which indicate that uh, nearly twenty three million

680
00:39:14,960 --> 00:39:19,680
Speaker 1: guns were purchased in which is a sixty increase over

681
00:39:19,680 --> 00:39:24,240
Speaker 1: the previous year. And it was think about the three

682
00:39:24,440 --> 00:39:28,040
Speaker 1: major stories that were happening last year and how they

683
00:39:28,040 --> 00:39:31,800
Speaker 1: were covered. There were lockdowns, uh and you know people

684
00:39:32,080 --> 00:39:36,920
Speaker 1: who were spinning the lockdowns as like government tyranny coming

685
00:39:36,960 --> 00:39:41,920
Speaker 1: for you and your family. The protests and the racist

686
00:39:41,960 --> 00:39:46,240
Speaker 1: way that those were covered as like, you know, fearful events.

687
00:39:46,600 --> 00:39:50,280
Speaker 1: And then there was the election, which was covered as

688
00:39:50,320 --> 00:39:55,560
Speaker 1: like a impending civil war like those those are all

689
00:39:55,640 --> 00:39:57,480
Speaker 1: like that. I just feel like the media is so

690
00:39:57,560 --> 00:40:01,000
Speaker 1: complicit in this. I'm and there's no way around it,

691
00:40:01,160 --> 00:40:05,239
Speaker 1: from the you know, lazy reporting to like you know,

692
00:40:05,280 --> 00:40:07,680
Speaker 1: even for me, I'm like, oh yeah, maybe that is true.

693
00:40:07,719 --> 00:40:10,160
Speaker 1: But then also forgetting that these people are in charge

694
00:40:10,160 --> 00:40:13,360
Speaker 1: of informing the rest of the country what is happening.

695
00:40:13,440 --> 00:40:16,560
Speaker 1: So they're dictating what most people are going to passively

696
00:40:16,760 --> 00:40:19,960
Speaker 1: perceive as what is happening. And to do this ship, Yeah,

697
00:40:19,960 --> 00:40:24,200
Speaker 1: it's complicit and it erases ship like whatever. If it's

698
00:40:24,200 --> 00:40:26,440
Speaker 1: if it's about gun control or whatever, then we need

699
00:40:26,480 --> 00:40:28,360
Speaker 1: to talk about it. If it's about mental health, then

700
00:40:28,400 --> 00:40:30,120
Speaker 1: we need to talk about it's about racist, we need

701
00:40:30,160 --> 00:40:32,520
Speaker 1: to talk about it. But it's always just like pivoting

702
00:40:32,560 --> 00:40:37,040
Speaker 1: to stuff that isn't just it's not substantive because you know, yeah, well,

703
00:40:37,080 --> 00:40:40,799
Speaker 1: and on that that note to about journalists, because I

704
00:40:40,880 --> 00:40:42,239
Speaker 1: just looked this up to make sure it was something

705
00:40:42,280 --> 00:40:43,880
Speaker 1: I've read on Twitter, so you know, you're like, is

706
00:40:43,880 --> 00:40:45,399
Speaker 1: that a fact or is that a twit? I read?

707
00:40:45,840 --> 00:40:49,279
Speaker 1: But eleven thousand newsroom jobs were lost in the first

708
00:40:49,280 --> 00:40:51,960
Speaker 1: six months of pandemic and we have the thing I

709
00:40:52,000 --> 00:40:54,200
Speaker 1: read on Twitter was like, we have fifty less journalists

710
00:40:54,280 --> 00:40:57,719
Speaker 1: right now. Yeah, and we don't also recognize that, like

711
00:40:57,760 --> 00:40:59,719
Speaker 1: in a in another industry, you would be like, oh

712
00:41:00,080 --> 00:41:03,680
Speaker 1: my god. And again in talking about how the media

713
00:41:03,880 --> 00:41:05,920
Speaker 1: is has such a big role and like if we're

714
00:41:05,920 --> 00:41:07,839
Speaker 1: talking about this at all, and if we're talking about

715
00:41:07,840 --> 00:41:10,200
Speaker 1: the right aspect of it and there's not even um

716
00:41:10,560 --> 00:41:13,120
Speaker 1: the amount of people to cover the media this year,

717
00:41:13,760 --> 00:41:17,120
Speaker 1: and it's it's not fair for me to say the

718
00:41:17,160 --> 00:41:21,080
Speaker 1: media like there's a newsroom where they are generating like

719
00:41:21,280 --> 00:41:27,040
Speaker 1: the specific you know, storylines. It's the it's the overall ecosystem,

720
00:41:27,160 --> 00:41:30,280
Speaker 1: the like what we've been talking about this entire episode

721
00:41:30,280 --> 00:41:36,120
Speaker 1: about how Twitter, how Facebook, all social media just funnels

722
00:41:36,160 --> 00:41:39,719
Speaker 1: you into the storyline that is going to make you

723
00:41:40,200 --> 00:41:45,560
Speaker 1: most engaged, which might be a conspiracy theory. It might be, uh,

724
00:41:45,600 --> 00:41:49,600
Speaker 1: you know, the one story out of twenty that is

725
00:41:49,760 --> 00:41:55,680
Speaker 1: most covers the protests and after George Floyd's more murder

726
00:41:55,760 --> 00:41:58,400
Speaker 1: with like the most fear, like that might be the

727
00:41:58,440 --> 00:42:01,480
Speaker 1: one that just ends up getting the most engagement and

728
00:42:01,480 --> 00:42:06,000
Speaker 1: then just a blind algorithm feeds it to Like Yeah,

729
00:42:06,000 --> 00:42:07,759
Speaker 1: I think about that all the time. With when um,

730
00:42:07,880 --> 00:42:10,960
Speaker 1: the pandemic first hit and coronavirus was everywhere when you

731
00:42:10,960 --> 00:42:12,920
Speaker 1: turn on the news, I mean I was scared shitless.

732
00:42:13,000 --> 00:42:16,160
Speaker 1: Granted I'm I'm a hypochondriac and an anxiety freak anyway,

733
00:42:16,200 --> 00:42:19,879
Speaker 1: but the news was like, oh my god, it might

734
00:42:19,920 --> 00:42:23,160
Speaker 1: be on your Amazon packages don't open them. You know

735
00:42:23,600 --> 00:42:26,520
Speaker 1: that dude was like wash off your groceries, um, and

736
00:42:26,560 --> 00:42:28,720
Speaker 1: then later everyone was like he's not a doctor whatever.

737
00:42:29,160 --> 00:42:31,000
Speaker 1: You know. That was in the phase we're in. And

738
00:42:31,040 --> 00:42:33,800
Speaker 1: now when I look around, especially in l A, in

739
00:42:33,840 --> 00:42:36,040
Speaker 1: the areas I'm in, it seems completely open. No one

740
00:42:36,120 --> 00:42:38,000
Speaker 1: is afraid. And when you turn on the news that

741
00:42:38,200 --> 00:42:40,920
Speaker 1: like be afraid of, the coronavirus has gone way down.

742
00:42:41,600 --> 00:42:44,520
Speaker 1: The numbers have not. The numbers aren't the facts or

743
00:42:44,600 --> 00:42:47,640
Speaker 1: the day. Everything is the same except for the narrative

744
00:42:47,680 --> 00:42:50,640
Speaker 1: coming through uh the news, which is which is wild

745
00:42:50,640 --> 00:42:53,000
Speaker 1: to think about. Yeah, because I get like, well, it's

746
00:42:53,080 --> 00:42:55,080
Speaker 1: nice to be able to say numbers are going down,

747
00:42:55,280 --> 00:42:57,360
Speaker 1: to just say the numbers are going down. The numbers

748
00:42:57,360 --> 00:42:59,280
Speaker 1: are going down, the numbers are going down, the numbers

749
00:42:59,280 --> 00:43:02,120
Speaker 1: are going down, rather than the numbers are going down.

750
00:43:02,320 --> 00:43:05,319
Speaker 1: We're also in a very delicate situation where if we

751
00:43:05,360 --> 00:43:07,799
Speaker 1: don't do every single thing right, we might as well

752
00:43:07,840 --> 00:43:09,920
Speaker 1: not even talk about the numbers going down. You know what,

753
00:43:09,960 --> 00:43:12,640
Speaker 1: In fact, America, you haven't been good enough for us

754
00:43:12,640 --> 00:43:14,640
Speaker 1: to tell you the numbers are going down. I might

755
00:43:14,680 --> 00:43:16,560
Speaker 1: tell you what how good you did on this report card?

756
00:43:16,600 --> 00:43:18,719
Speaker 1: But the second I tell you can stop slacking, you're

757
00:43:18,719 --> 00:43:21,080
Speaker 1: gonna start slacking off in class and fail the motherfucker,

758
00:43:21,320 --> 00:43:23,799
Speaker 1: which is what is going, which is already happening, because

759
00:43:23,800 --> 00:43:26,680
Speaker 1: we have this way of like we're using this news

760
00:43:26,719 --> 00:43:29,200
Speaker 1: as like really we're holding onto it to completely just

761
00:43:29,239 --> 00:43:32,160
Speaker 1: obscure our reality. And I get it's just so fucking

762
00:43:32,239 --> 00:43:35,200
Speaker 1: dark and dreary. It is like the one fucking nice

763
00:43:35,239 --> 00:43:38,080
Speaker 1: thing you can hear, but to really have to like

764
00:43:38,320 --> 00:43:41,000
Speaker 1: there's a there's a weight and responsibility to that too

765
00:43:41,040 --> 00:43:43,560
Speaker 1: that I think a lot of many people in the

766
00:43:43,600 --> 00:43:46,279
Speaker 1: media just divorced from of just saying like, right, yeah,

767
00:43:46,280 --> 00:43:49,160
Speaker 1: because if they were still reporting on people being hospitalized

768
00:43:49,160 --> 00:43:51,239
Speaker 1: and people dying from the coronavirus, if those were these

769
00:43:51,239 --> 00:43:53,680
Speaker 1: are the numbers today, which is what that narrative used

770
00:43:53,719 --> 00:43:55,680
Speaker 1: to be. Here the numbers of deaths. Now it's the

771
00:43:55,760 --> 00:43:57,600
Speaker 1: numbers of down If we still reported on the death

772
00:43:57,640 --> 00:43:59,480
Speaker 1: you would be like, oh my god, oh my god,

773
00:43:59,480 --> 00:44:01,879
Speaker 1: I can't go out side alright right here, Yeah, He're

774
00:44:01,920 --> 00:44:04,760
Speaker 1: all like every day, here's somebody who had coronavirus exactly

775
00:44:04,800 --> 00:44:06,440
Speaker 1: a year ago, and here's how they're doing. It's not

776
00:44:06,600 --> 00:44:08,959
Speaker 1: you know, some people recover Unfortunately, some of these people

777
00:44:08,960 --> 00:44:11,880
Speaker 1: aren't recovering as quickly. Something to keep in mind every

778
00:44:11,960 --> 00:44:14,319
Speaker 1: day because this still is the same virus out there.

779
00:44:15,440 --> 00:44:18,080
Speaker 1: One I wouldn't be me if I didn't bring up

780
00:44:18,120 --> 00:44:23,080
Speaker 1: the second degree suicide aspect of the increased gun ownership

781
00:44:23,600 --> 00:44:28,280
Speaker 1: suicides are like it's such a correlation between gun ownership

782
00:44:28,320 --> 00:44:30,759
Speaker 1: and suicides that like they can just be like, oh,

783
00:44:30,800 --> 00:44:34,120
Speaker 1: so that amount of increased gun ownership is going to

784
00:44:34,400 --> 00:44:40,239
Speaker 1: lead to this many increased suicide suicides by gun. They're

785
00:44:40,280 --> 00:44:45,800
Speaker 1: always more gun suicides than gun murders. Uh. Usually in

786
00:44:45,880 --> 00:44:48,640
Speaker 1: any giving year at averages about twenty three thousand, they're

787
00:44:48,680 --> 00:44:54,680
Speaker 1: expecting an increase of twenty of just due to the

788
00:44:54,760 --> 00:44:58,680
Speaker 1: increased gun ownership, which is seven thousand additional lives or

789
00:44:58,760 --> 00:45:03,799
Speaker 1: twenty uh people dying per day. Basically because that is

790
00:45:03,840 --> 00:45:07,239
Speaker 1: not something gun control is not something we're willing to

791
00:45:07,320 --> 00:45:11,000
Speaker 1: do anything about, and in fact is the is being

792
00:45:11,000 --> 00:45:14,279
Speaker 1: portrayed as like the opposite where we want to go.

793
00:45:14,440 --> 00:45:16,839
Speaker 1: You you better go out and arm yourself. Because of

794
00:45:16,880 --> 00:45:21,239
Speaker 1: these main news stories that are all about fear, the

795
00:45:21,280 --> 00:45:23,759
Speaker 1: gun lobby is powerful. It's like the n r A

796
00:45:23,920 --> 00:45:28,400
Speaker 1: might be fucking up, but um, the gun lobby controls

797
00:45:28,400 --> 00:45:30,719
Speaker 1: a lot of how seems to control a lot of

798
00:45:30,719 --> 00:45:33,840
Speaker 1: how the messaging comes down to the people. And like

799
00:45:33,920 --> 00:45:37,440
Speaker 1: Dan Bongino, Uh, you know, a former n r A

800
00:45:37,520 --> 00:45:41,200
Speaker 1: spokesperson is now like this new right wing media darling

801
00:45:41,239 --> 00:45:43,440
Speaker 1: who I think we're going to be hearing more and

802
00:45:43,480 --> 00:45:48,080
Speaker 1: more from unfortunately. So all right, let's take a quick

803
00:45:48,080 --> 00:45:50,640
Speaker 1: break and we'll come back and talk about something else.

804
00:46:01,360 --> 00:46:06,560
Speaker 1: And we're back, and uh, let's talk about Ellen. What's

805
00:46:06,600 --> 00:46:12,480
Speaker 1: going on with Ellen? She's sucking up guys. Huh hey, no,

806
00:46:12,560 --> 00:46:15,480
Speaker 1: I just I think it's Look, we have enough distance

807
00:46:15,520 --> 00:46:19,200
Speaker 1: now to analyze the damage that was brought on by

808
00:46:19,239 --> 00:46:22,680
Speaker 1: the revelations of her being just a toxic employer and

809
00:46:22,719 --> 00:46:27,040
Speaker 1: overall just like absurdly selfish, weird like boss with especially

810
00:46:27,040 --> 00:46:30,880
Speaker 1: like her housekeeping staff. But toothpicks is the detail to go.

811
00:46:33,280 --> 00:46:36,240
Speaker 1: She would hide toothpicks in places that they were supposed

812
00:46:36,239 --> 00:46:38,799
Speaker 1: to clean to and then go back and check to

813
00:46:38,840 --> 00:46:43,279
Speaker 1: make sure that they had clean there. The toothpick that

814
00:46:43,400 --> 00:46:48,360
Speaker 1: isn't that article, Yeah, that's from as how up and petty?

815
00:46:48,719 --> 00:46:51,719
Speaker 1: This is I think, like, yeah, I mean it's so

816
00:46:51,760 --> 00:46:53,640
Speaker 1: fun up and so petty. But the detail I think

817
00:46:53,640 --> 00:46:55,960
Speaker 1: that's really getting me, is that like she's a busy

818
00:46:56,120 --> 00:46:59,879
Speaker 1: she's a busy woman, and she had she kept two

819
00:47:00,080 --> 00:47:03,759
Speaker 1: picks and stock and at the time to find new

820
00:47:03,840 --> 00:47:08,279
Speaker 1: and interesting is not. I don't know. That's the thing.

821
00:47:08,320 --> 00:47:10,919
Speaker 1: Like it's like a myth about when you're wealthy. It's like, damn,

822
00:47:10,920 --> 00:47:12,520
Speaker 1: I mean, like to make all that money, you gotta

823
00:47:12,560 --> 00:47:14,759
Speaker 1: be fucking grinding NonStop. Like I could see a world

824
00:47:14,800 --> 00:47:18,480
Speaker 1: where she goes to set and then comes home and

825
00:47:18,480 --> 00:47:26,200
Speaker 1: then it's toothpick time all day. Yeah. So you know,

826
00:47:26,440 --> 00:47:29,000
Speaker 1: I think all those reports came out aside from all

827
00:47:29,040 --> 00:47:31,600
Speaker 1: the anecdotal things that I think any person who worked

828
00:47:31,680 --> 00:47:34,640
Speaker 1: anywhere even remotely close to comedy or the industry was like,

829
00:47:34,640 --> 00:47:37,920
Speaker 1: oh yeah, we all know Ellen is bad boss. But yeah,

830
00:47:38,239 --> 00:47:40,319
Speaker 1: now it's like it's all of being shown in the

831
00:47:40,440 --> 00:47:43,840
Speaker 1: ratings and she's lost over like a million viewers since

832
00:47:43,880 --> 00:47:47,399
Speaker 1: this TV apology in September. So that's truly putting her.

833
00:47:47,520 --> 00:47:49,880
Speaker 1: Like the way the Times talks about it is like

834
00:47:50,000 --> 00:47:52,799
Speaker 1: so dis it's like so I just love it. It's

835
00:47:52,800 --> 00:47:55,799
Speaker 1: so catty, it says quote no longer in the same

836
00:47:55,840 --> 00:47:59,200
Speaker 1: line same league as traditional rivals like Dr Phil two

837
00:47:59,200 --> 00:48:01,600
Speaker 1: point five million and Live with with Kelly and Ryan

838
00:48:01,640 --> 00:48:05,680
Speaker 1: two point seven million. Now it finds itself uncomfortably close

839
00:48:05,760 --> 00:48:10,040
Speaker 1: to shows hosted by Maury Povich, Kelly Clarkson, Rachel Ray,

840
00:48:10,200 --> 00:48:19,560
Speaker 1: Tamarin Hall, and Jerry Springer's former security guard. You will

841
00:48:19,640 --> 00:48:23,160
Speaker 1: go that shows trash too, But yeah, they're the way.

842
00:48:23,200 --> 00:48:25,000
Speaker 1: I just like to thank you New York Times for

843
00:48:25,160 --> 00:48:28,479
Speaker 1: just uncomfortably as if like it's like such a weird

844
00:48:28,560 --> 00:48:31,640
Speaker 1: idea of like, oh we're we're seated in steerage. Were

845
00:48:31,760 --> 00:48:38,919
Speaker 1: uncomfortably close to Tamarin Hall and Maury Poverty I love,

846
00:48:38,960 --> 00:48:41,920
Speaker 1: I mean, they just shipped on so many shows and

847
00:48:41,960 --> 00:48:44,640
Speaker 1: then we're also like and Ellen is still better than you?

848
00:48:47,960 --> 00:48:53,640
Speaker 1: Why why this is always so interesting? We we talked

849
00:48:53,680 --> 00:48:57,600
Speaker 1: in the Biden presidential campaign how like a lot of

850
00:48:57,600 --> 00:49:02,399
Speaker 1: the storylines that the Trump campaign was trying to get

851
00:49:02,400 --> 00:49:05,960
Speaker 1: out there about him like didn't like fit with who

852
00:49:06,000 --> 00:49:08,520
Speaker 1: people thought of him as, Like it wasn't like they

853
00:49:08,520 --> 00:49:12,600
Speaker 1: would try and like do this vast conspiracy and vast corruption.

854
00:49:12,640 --> 00:49:14,440
Speaker 1: They're like, now he's like a dumb old guy, Like

855
00:49:14,480 --> 00:49:16,520
Speaker 1: what are you? What are you guys talking about? But

856
00:49:16,600 --> 00:49:21,040
Speaker 1: like where whereas the Clinton stuff was more effective because

857
00:49:21,040 --> 00:49:28,360
Speaker 1: it tied into suspicions people already had about her because

858
00:49:28,360 --> 00:49:31,719
Speaker 1: of misogyny, and also you know the history of the

859
00:49:31,719 --> 00:49:34,960
Speaker 1: Clinton family. But like this is kind of the opposite

860
00:49:34,960 --> 00:49:38,399
Speaker 1: of that in that the details that are coming out

861
00:49:38,400 --> 00:49:42,560
Speaker 1: are so counter to what people want to like why

862
00:49:42,640 --> 00:49:46,320
Speaker 1: people tuned in, and the personality that they had ascribed

863
00:49:46,360 --> 00:49:49,600
Speaker 1: to her. It's just like the direct opposite. So it

864
00:49:49,680 --> 00:49:54,160
Speaker 1: makes sense to me that, like, it's just hemorrhaging viewers,

865
00:49:54,200 --> 00:49:57,240
Speaker 1: the lady who cuts the big joke checks for viral stars.

866
00:49:58,600 --> 00:50:02,959
Speaker 1: It's just yeah, and her phrase, right was be kind Yeah, yeah,

867
00:50:03,840 --> 00:50:08,920
Speaker 1: nick it, I mean tough. Ah, that's amazing. Actually, that's

868
00:50:08,960 --> 00:50:15,040
Speaker 1: like Google. Anytime it's that straightforward, it's usually like a

869
00:50:15,160 --> 00:50:18,839
Speaker 1: lot of opposite. Right when the US changed its name

870
00:50:18,880 --> 00:50:21,759
Speaker 1: from the War Department to the Department of Defense, we

871
00:50:21,840 --> 00:50:27,680
Speaker 1: started engaging in offensive wars when Google, Google was the

872
00:50:27,719 --> 00:50:31,319
Speaker 1: company with the don't be evil as their moniker in

873
00:50:31,360 --> 00:50:33,799
Speaker 1: the late nineties, and then hey, we do we use

874
00:50:33,800 --> 00:50:35,759
Speaker 1: our face recognizing tech for whatever you want, I don't

875
00:50:35,760 --> 00:50:38,719
Speaker 1: care whatever, Yeah, what do you want drones that are

876
00:50:38,760 --> 00:50:41,640
Speaker 1: super smart? Yeah, we'll do that. Once. To throw in

877
00:50:41,680 --> 00:50:48,520
Speaker 1: another historical and political reference, Burt Reynolds consumer um told

878
00:50:48,560 --> 00:50:52,000
Speaker 1: people he had a really healthy head of hair, and

879
00:50:52,040 --> 00:50:54,280
Speaker 1: he just had like so much hair. And in both

880
00:50:54,320 --> 00:50:57,880
Speaker 1: of his autobiographies, the last page ends with him saying,

881
00:50:58,200 --> 00:51:00,319
Speaker 1: when I die, they'll probably find a full head of

882
00:51:00,320 --> 00:51:04,560
Speaker 1: hair on my skull. And he wore two pages and

883
00:51:04,719 --> 00:51:07,040
Speaker 1: multiple women have been like, I saw it burnt off

884
00:51:07,040 --> 00:51:09,840
Speaker 1: his head one time. I saw it. No, Dolly's like

885
00:51:09,880 --> 00:51:14,839
Speaker 1: he's wearing wigs. Oh my poor man, he can't even

886
00:51:14,920 --> 00:51:18,480
Speaker 1: hide it. I like how Yeah, she's like her whole

887
00:51:18,640 --> 00:51:22,600
Speaker 1: catchphrase be kind is just a very like I don't

888
00:51:22,600 --> 00:51:23,960
Speaker 1: know if that was like what she had to like,

889
00:51:24,040 --> 00:51:27,080
Speaker 1: she like, you know, scratched into her like mirror to

890
00:51:27,160 --> 00:51:30,080
Speaker 1: look into, like be kind, Ellen, don't do it again,

891
00:51:30,160 --> 00:51:33,320
Speaker 1: don't eat someone today, be kind or she's like telling

892
00:51:33,320 --> 00:51:35,880
Speaker 1: her step you know, it'd be kind of fucked up

893
00:51:35,920 --> 00:51:42,719
Speaker 1: if I found some air and toothpicks a house. That's

894
00:51:42,760 --> 00:51:48,360
Speaker 1: amazing about Burt Reynolds. Probably fine, Okay, I mean, and

895
00:51:48,440 --> 00:51:52,360
Speaker 1: I've seen like word for word. Must have told his

896
00:51:52,400 --> 00:51:57,880
Speaker 1: ghostwriter copy paste the last page from my four memoir

897
00:51:58,160 --> 00:52:00,680
Speaker 1: into my two thousand and nine books. Lease, I'd really

898
00:52:00,719 --> 00:52:02,799
Speaker 1: like that paragraph about my hair to close it out,

899
00:52:03,640 --> 00:52:06,840
Speaker 1: and this is a normal thing to say. At the

900
00:52:06,960 --> 00:52:10,040
Speaker 1: end of a way to sum up all life. They'll

901
00:52:10,080 --> 00:52:13,640
Speaker 1: probably find a full head of hair on my corpse,

902
00:52:14,760 --> 00:52:17,399
Speaker 1: burnt out. They'll probably find the opposite of like all

903
00:52:17,400 --> 00:52:19,400
Speaker 1: those rumors that kids were talking about me after at

904
00:52:19,440 --> 00:52:21,120
Speaker 1: one time in gym class when I was in the shower,

905
00:52:21,200 --> 00:52:23,200
Speaker 1: they're probably the opposite or whatever you heard from that

906
00:52:24,800 --> 00:52:29,400
Speaker 1: whatever that is. Alright, Well, I want to talk about

907
00:52:29,440 --> 00:52:33,000
Speaker 1: UFO is real quick, because apparently someone just hit a

908
00:52:33,040 --> 00:52:38,840
Speaker 1: little Russian nesting doll of legislation in the COVID Relief

909
00:52:38,880 --> 00:52:44,319
Speaker 1: Act last year that basically requires the government to just

910
00:52:45,000 --> 00:52:47,680
Speaker 1: provide the receipts, just bring it all out, put it

911
00:52:47,719 --> 00:52:52,080
Speaker 1: all on the table. And the former Director of National

912
00:52:52,120 --> 00:52:57,120
Speaker 1: Intelligence is saying that it it could be big. Which

913
00:52:57,120 --> 00:52:59,960
Speaker 1: one which d N I though, Uh, it's it's your boy.

914
00:53:00,600 --> 00:53:05,040
Speaker 1: Uh what's his name? Bad? Bad, terrible? I think Trump

915
00:53:05,160 --> 00:53:13,640
Speaker 1: Trump got he said, yeah, boy already already. Um, but

916
00:53:14,560 --> 00:53:18,279
Speaker 1: I was intrigued, as I often am anytime somebody just

917
00:53:18,320 --> 00:53:24,000
Speaker 1: gives me the barest crumb of UFO kind of corroboration.

918
00:53:24,120 --> 00:53:28,560
Speaker 1: But apparently there's gonna be interagency like reports of like

919
00:53:28,600 --> 00:53:32,760
Speaker 1: communications between agencies. He's saying that's gonna be significant because

920
00:53:32,920 --> 00:53:35,920
Speaker 1: there are like what we have right now are like

921
00:53:36,040 --> 00:53:38,560
Speaker 1: a single video where somebody's like, wow, would you look

922
00:53:38,600 --> 00:53:43,000
Speaker 1: at that? But there's a lot of examples where these

923
00:53:43,040 --> 00:53:47,040
Speaker 1: things are corroborated, and the thing that's corroborated is doing

924
00:53:47,080 --> 00:53:52,799
Speaker 1: something that isn't possible given current technology, like breaking the

925
00:53:53,000 --> 00:53:57,320
Speaker 1: sound barrier without a sonic boom. So like the idea

926
00:53:57,320 --> 00:54:00,960
Speaker 1: of like having multiple sightings that line up with one

927
00:54:01,000 --> 00:54:05,200
Speaker 1: another from different independent sources is always the thing I

928
00:54:05,320 --> 00:54:09,360
Speaker 1: look for anytime there's one of these is that those

929
00:54:09,400 --> 00:54:13,080
Speaker 1: steel um, those steel plates they were finding, Is that

930
00:54:13,120 --> 00:54:20,080
Speaker 1: what you're referencing? No, wait, what's the steel plates thing? Um? Well,

931
00:54:20,200 --> 00:54:22,440
Speaker 1: so I listen. I grew up in the Southwest, but

932
00:54:22,480 --> 00:54:24,719
Speaker 1: my family landed in New Mexico, so whenever I see

933
00:54:24,760 --> 00:54:28,239
Speaker 1: uf UFO news, it barely registers. So I'm just like, yeah,

934
00:54:28,400 --> 00:54:31,719
Speaker 1: you know, um so, so I'm gonna have to heavy

935
00:54:31,719 --> 00:54:34,720
Speaker 1: be paraphrasing this. But there were um like ten ft

936
00:54:35,440 --> 00:54:37,600
Speaker 1: no maybe it was long than that. They're huge steel

937
00:54:37,680 --> 00:54:42,399
Speaker 1: plates found in like three different locations. Those were art.

938
00:54:42,719 --> 00:54:49,520
Speaker 1: Art projects are art, right, here's the thing. What is

939
00:54:49,560 --> 00:54:53,040
Speaker 1: more impressive to you the idea that a UFO would

940
00:54:53,280 --> 00:54:56,560
Speaker 1: you know, put different you know, uh silver plates around

941
00:54:56,560 --> 00:55:02,120
Speaker 1: the world, or that art students had global travel. Yeah, yeah,

942
00:55:02,320 --> 00:55:07,440
Speaker 1: to take metal on the plane, and said, honestly, I'm

943
00:55:07,480 --> 00:55:11,920
Speaker 1: more impression build local, build local. We'll save air flight

944
00:55:11,560 --> 00:55:13,400
Speaker 1: air fair money if you don't have to bring the

945
00:55:13,400 --> 00:55:19,239
Speaker 1: obelisks with you. Yeah the thing, yeah right, your first

946
00:55:19,239 --> 00:55:22,120
Speaker 1: obelisk is free of the subplist. Everybody knows that. The

947
00:55:22,600 --> 00:55:25,319
Speaker 1: I mean, I'm also curious, like if this is meant

948
00:55:25,360 --> 00:55:28,360
Speaker 1: to distract us from some other epic failing of the government,

949
00:55:28,400 --> 00:55:31,080
Speaker 1: because I'm sure that would be like, oh, ship man,

950
00:55:31,120 --> 00:55:34,480
Speaker 1: that don't fucking detail, isn't They're like, yeah, we've just

951
00:55:34,880 --> 00:55:38,760
Speaker 1: passed Bill's voter suppression bills so severe that you won't

952
00:55:38,760 --> 00:55:41,440
Speaker 1: believe that they came from Joe Biden. Well maybe you will.

953
00:55:41,440 --> 00:55:44,160
Speaker 1: I don't know any folks uf check that out over there.

954
00:55:44,239 --> 00:55:47,200
Speaker 1: This is one of those examples where I think the

955
00:55:47,280 --> 00:55:51,160
Speaker 1: government and the people inside the government are dumber than

956
00:55:51,200 --> 00:55:54,160
Speaker 1: we like give them credit for. And in this case,

957
00:55:54,280 --> 00:55:59,200
Speaker 1: like every time we like, the more candid they become

958
00:55:59,239 --> 00:56:02,640
Speaker 1: about what is going on with UFOs, the more they're like, man,

959
00:56:02,680 --> 00:56:05,480
Speaker 1: I really want to know. This ship is crazy. It's

960
00:56:05,560 --> 00:56:09,040
Speaker 1: like what I thought you were supposed to be, like

961
00:56:09,400 --> 00:56:11,560
Speaker 1: in contact with the men in Black who are like

962
00:56:11,640 --> 00:56:15,719
Speaker 1: neuralizing us like you're but they're like, yeah, man, I

963
00:56:15,760 --> 00:56:17,680
Speaker 1: don't know. What do you think? What do you think

964
00:56:17,719 --> 00:56:20,040
Speaker 1: it is? I can't I can't tell. This is like

965
00:56:20,120 --> 00:56:22,920
Speaker 1: the most partisan measure, you know. Someone was like, do

966
00:56:22,920 --> 00:56:25,360
Speaker 1: you think we get the UFO infoe? And Republicans and

967
00:56:25,400 --> 00:56:30,440
Speaker 1: Democrats were like unanimous, yes, yes, right, yeah please. I

968
00:56:30,480 --> 00:56:32,960
Speaker 1: guess aliens really is gonna be like Independence days, gonna

969
00:56:32,960 --> 00:56:35,200
Speaker 1: take Aliens pulling up for people to figure their ship out.

970
00:56:35,239 --> 00:56:36,680
Speaker 1: They're like, all right, fuck it. I guess. So now

971
00:56:36,719 --> 00:56:38,719
Speaker 1: that these being showed up, we are on the same

972
00:56:38,760 --> 00:56:43,520
Speaker 1: team called humanity. That's that's one way it could go. Yeah,

973
00:56:44,040 --> 00:56:47,200
Speaker 1: or or we say or we say America, buckle the

974
00:56:47,239 --> 00:56:49,279
Speaker 1: funk up because we all got guns over here, and

975
00:56:49,280 --> 00:56:53,560
Speaker 1: we're like, do your worst Aliens and in a fucking

976
00:56:53,560 --> 00:56:57,400
Speaker 1: fan of snap. Well, Chelsea, there has been such a

977
00:56:57,440 --> 00:57:01,200
Speaker 1: pleasure having you back on t d Z. Where can

978
00:57:01,239 --> 00:57:04,520
Speaker 1: people find you? Follow you here? You all that good stuff.

979
00:57:04,800 --> 00:57:08,280
Speaker 1: Thank you for having me, Thank you for um Following

980
00:57:08,320 --> 00:57:12,960
Speaker 1: the Bachelor cultural clock that I am historically writing down

981
00:57:13,000 --> 00:57:15,719
Speaker 1: every day and my tumbler. Uh no, you can follow

982
00:57:15,760 --> 00:57:18,360
Speaker 1: me at Chelsea Dvantees on Instagram. That is where I

983
00:57:18,520 --> 00:57:23,120
Speaker 1: recap celebrity memoirs and all that stuff. And you could

984
00:57:23,200 --> 00:57:25,880
Speaker 1: find me on Twitter, but y'all, I don't think I'm

985
00:57:25,920 --> 00:57:29,400
Speaker 1: hanging out there right now to follow me on Instagram

986
00:57:29,440 --> 00:57:33,160
Speaker 1: hot plug. Is there a work of social media that

987
00:57:33,280 --> 00:57:36,880
Speaker 1: you've been enjoying? Yeah, you know, I really have been

988
00:57:37,040 --> 00:57:42,880
Speaker 1: enjoying Asher Perlman's cartoons. Um, they're just super funny and

989
00:57:43,080 --> 00:57:47,680
Speaker 1: I I I reposted one the other day. Uh. It's

990
00:57:47,720 --> 00:57:50,600
Speaker 1: a little cartoon he drew that has someone saying, do

991
00:57:50,720 --> 00:57:52,800
Speaker 1: you do any of those jokes that are actually just

992
00:57:52,880 --> 00:57:57,000
Speaker 1: angry earnest beliefs? And it's a king asking it of

993
00:57:57,040 --> 00:58:03,520
Speaker 1: a jester. That's great. Miles, where can people find you?

994
00:58:03,560 --> 00:58:06,480
Speaker 1: What's the tweet you've been enjoying? Oh, you can find

995
00:58:06,520 --> 00:58:09,919
Speaker 1: me on Twitter and Instagram at Miles of Gray. Also

996
00:58:09,960 --> 00:58:13,760
Speaker 1: the other podcast for twenty day Fiance Sophia Alexander mother

997
00:58:13,760 --> 00:58:17,680
Speaker 1: fucking vibes over there. Um. A tweet that I like

998
00:58:17,800 --> 00:58:20,680
Speaker 1: is from Derrick Lemos, you know, past guest friend of

999
00:58:20,800 --> 00:58:24,360
Speaker 1: our Zeit Gang show. At Derrik Lemos. He has two

1000
00:58:24,360 --> 00:58:27,240
Speaker 1: pictures of Billy Zane. Um, you know, because Billy got

1001
00:58:27,240 --> 00:58:29,520
Speaker 1: the big head now, and he says Billy Zane should

1002
00:58:29,520 --> 00:58:31,520
Speaker 1: be Lex Luthor. I will not be taking questions at

1003
00:58:31,520 --> 00:58:35,200
Speaker 1: this time, and it I'm looking at Billy Zane and

1004
00:58:35,240 --> 00:58:37,720
Speaker 1: he absolutely should be Lex Luthor. I don't know why

1005
00:58:37,760 --> 00:58:40,080
Speaker 1: I didn't. I didn't think of this, but he's he

1006
00:58:40,680 --> 00:58:45,120
Speaker 1: we found him. Wow, the strong uh the strong brow

1007
00:58:45,280 --> 00:58:48,440
Speaker 1: with a bicked head is it's like and his because

1008
00:58:48,440 --> 00:58:51,600
Speaker 1: his his brows are always like I'm an asshole, you

1009
00:58:51,600 --> 00:58:53,760
Speaker 1: know what I mean, Like Billy Zanes go vibe. You know,

1010
00:58:53,800 --> 00:58:57,680
Speaker 1: it's never like, oh he's cool. Yeah, Oh damn, I

1011
00:58:57,760 --> 00:59:01,000
Speaker 1: just saw an updated picture. I is picturing Billy's in

1012
00:59:01,040 --> 00:59:03,880
Speaker 1: from The Titanic, and it turns out that movie is

1013
00:59:04,200 --> 00:59:08,080
Speaker 1: like twenty over twenty years old. Uh, he has like

1014
00:59:08,440 --> 00:59:12,919
Speaker 1: aged into a very like he would play a ass

1015
00:59:12,960 --> 00:59:16,959
Speaker 1: whole billionaire really well like right now, oh yeah, he's

1016
00:59:17,000 --> 00:59:21,000
Speaker 1: like who Jeff Bezos wants to play him? Yes, he's

1017
00:59:21,040 --> 00:59:23,200
Speaker 1: like or not or he's like, I want Billy's aim

1018
00:59:23,240 --> 00:59:25,320
Speaker 1: to be me, not who you're actually what not actually

1019
00:59:25,280 --> 00:59:29,440
Speaker 1: when he's like unfortunately, Telly Savalis is dead, so it

1020
00:59:29,560 --> 00:59:33,480
Speaker 1: can't be him from my old people out there, tell

1021
00:59:34,720 --> 00:59:37,440
Speaker 1: I think people know that at least the Telly Savalis

1022
00:59:37,560 --> 00:59:42,200
Speaker 1: is a bald, bald guy. How pists are we going

1023
00:59:42,240 --> 00:59:45,400
Speaker 1: to be when they released this report on June one

1024
00:59:45,560 --> 00:59:49,120
Speaker 1: and all, the UFO ship that breaks the laws of

1025
00:59:49,160 --> 00:59:52,360
Speaker 1: physics is like created by Bezos. It's just Bezos ripping

1026
00:59:52,360 --> 00:59:57,000
Speaker 1: around on his billion dollar jet. If it is, I'm

1027
00:59:56,800 --> 00:59:59,480
Speaker 1: I'm writing a script about how like people are like

1028
00:59:59,520 --> 01:00:03,479
Speaker 1: have to go after him because he's he's actually thanos A. Yeah, yeah,

1029
01:00:03,640 --> 01:00:07,560
Speaker 1: he's meddling around the technologies we are not even capable of. No,

1030
01:00:07,920 --> 01:00:11,240
Speaker 1: this is there's a higher calling. Now. It's gonna take

1031
01:00:11,240 --> 01:00:13,560
Speaker 1: a lot for me to be part of a pitchfork

1032
01:00:13,600 --> 01:00:16,200
Speaker 1: wielding mob, But I think that would that would do

1033
01:00:16,240 --> 01:00:20,960
Speaker 1: it for me. I would hold the Bezos is just

1034
01:00:21,360 --> 01:00:24,160
Speaker 1: breaking the laws of physics and keeping it a secret.

1035
01:00:25,240 --> 01:00:26,680
Speaker 1: I don't know. I think it'll send me to art

1036
01:00:26,720 --> 01:00:33,040
Speaker 1: school so I can do more uf projects. Uh. A

1037
01:00:33,120 --> 01:00:37,120
Speaker 1: couple of tweets I've been enjoying. Uh. Paul Thompkins tweeted

1038
01:00:37,600 --> 01:00:41,440
Speaker 1: when a certain type of American person started using cheers

1039
01:00:41,680 --> 01:00:46,560
Speaker 1: in the British fashion that was a dark day and

1040
01:00:46,560 --> 01:00:50,760
Speaker 1: then got Garrett tweeted Guy Fiery eating plus. First of all,

1041
01:00:50,800 --> 01:01:02,000
Speaker 1: the flavor is gangster oh boy. You can find me

1042
01:01:02,040 --> 01:01:04,520
Speaker 1: on Twitter, Jack Underscore Brian. You can find us on

1043
01:01:04,560 --> 01:01:08,480
Speaker 1: Twitter at Daily Zeitgeist, the Daily Zeygeist on Instagram. We

1044
01:01:08,520 --> 01:01:11,240
Speaker 1: have a Facebook fan page and a website, Daily Zeitgeist

1045
01:01:11,280 --> 01:01:14,840
Speaker 1: dot com. We post our episodes in our footnote. We

1046
01:01:15,080 --> 01:01:16,800
Speaker 1: link off to the information that we talked about in

1047
01:01:16,800 --> 01:01:20,560
Speaker 1: today's episode, as well as a song that we recommend

1048
01:01:20,640 --> 01:01:24,480
Speaker 1: you go check out Miles, what is today's recommendation? You know?

1049
01:01:24,600 --> 01:01:27,320
Speaker 1: So if you like Mary J. Blige you know like

1050
01:01:27,360 --> 01:01:30,200
Speaker 1: I know you do? Uh. This is a remix by

1051
01:01:30,360 --> 01:01:34,280
Speaker 1: Kayla Mastro on SoundCloud and it's a remix of My

1052
01:01:34,400 --> 01:01:37,320
Speaker 1: Love by Mary J. Blige. So check out this called

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Speaker 1: Mary J. Blige My Love k l M blipa start

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01:01:42,240 --> 01:01:44,280
Speaker 1: sit on SoundCloud or you check out the foot notes

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01:01:44,320 --> 01:01:45,680
Speaker 1: where there will be a link to that. But if

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01:01:45,720 --> 01:01:48,920
Speaker 1: you like Mary J. B you better you need to

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01:01:48,960 --> 01:01:53,240
Speaker 1: listen this one. You need to what a gift from me, alright,

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01:01:53,600 --> 01:01:56,120
Speaker 1: go check that out. The Daily zygeis the production by

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01:01:56,200 --> 01:01:58,600
Speaker 1: Heart Radio. For more podcast from My Heart radio, visit

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01:01:58,680 --> 01:02:01,680
Speaker 1: the Heart radio app, Apple podcast, wherever you listen to

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01:02:01,680 --> 01:02:03,840
Speaker 1: your favorite shows. That's going to do it for this morning.

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01:02:03,920 --> 01:02:06,560
Speaker 1: We are back this afternoon to tell you what's trending.

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Speaker 1: We'll talk to y'll done. Bye bye m