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Speaker 1: Hello the Internet, and welcome to Season to fifty two,

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Speaker 1: Episode three of day 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, August thirty one, two miles.

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Speaker 1: What does it mean? What does it all means? Jack?

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Speaker 1: You know, it's the last day of August, which means

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Speaker 1: we only celebrate one thing. That's actually there's so much. First,

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Speaker 1: it's National diet to Maceous Earth Day. If you've ever

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Speaker 1: had problems like fleas or bugs, you've maybe bought this

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Speaker 1: a remedy of like a pest problem dis earth. Also

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Speaker 1: National Eat Outside Day, National Matchmaker Day, National South Carolina Day,

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Speaker 1: National Trail Mix. Right, so the first to kind of

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Speaker 1: go together. A lot of these go together. Trail Nix

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Speaker 1: usually said something to keep the fleas and ticks away

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Speaker 1: through the Palmetto State. Obviously, I'll tell it when I think,

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Speaker 1: when I think South Carolina, I think trail Mix. Also,

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Speaker 1: association might not be the right one, but I have. Well,

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Speaker 1: my name is Jack O'Brien, a kaya Jack Horseman, and

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Speaker 1: I'm thrilled to be joined as always by my co host,

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Speaker 1: Mr Miles Gray. Weird. Ask Christians start that time had come.

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Speaker 1: But they don't know that. Dare the only ones to

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Speaker 1: say no game where they go with what they looking for.

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Speaker 1: If Jesus saw y'all, he was saying no more with you.

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Speaker 1: He's through because you picked fascism was your priceful rights?

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Speaker 1: Even Christ like this saying right, just please buck off tonight.

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Speaker 1: All right? That was in the shower this morning. I

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Speaker 1: was just thinking a sister Christian and I turned into weird.

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Speaker 1: Ask Christians and there we go in a k for

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Speaker 1: it was political bro exactly. Man, Jesus would be like, what, well,

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Speaker 1: Miles Weird thrilled speaking of political Weird thrilled to be

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Speaker 1: joined by the hosts of one of the funniest podcasts.

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Speaker 1: It's not very political romance, but the act of listening

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Speaker 1: and recording it is a political statement in many ways. Um,

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Speaker 1: it's my favorite place. We are women. We are women,

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Speaker 1: which means that our bodies are political property, thank you.

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Speaker 1: Our bodies are political battle grounds. There it is, and

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Speaker 1: we are actually the first women to have a podcast.

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Speaker 1: I didn't see that on the Wikipedia book. Also, just

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Speaker 1: a great place to get recap to the Bachelor and

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Speaker 1: the Bachelortte. Even if you don't watch those shows. I

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Speaker 1: do feel like I'm watching it with you guys when

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Speaker 1: you recap the show. And just also it's not like

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Speaker 1: a Bachelor podcast though it's there, there's plenty of other

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Speaker 1: good ship. Please welcome the hilarious and talented Carolina Barlow

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Speaker 1: and Devin Leary. Thank you so much for having us

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Speaker 1: on you guys. It's so great, Like we needed that

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Speaker 1: ego boost, And it isn't a crazy that women weren't

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Speaker 1: allowed to have podcasts until or ego boosts or ego

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Speaker 1: boost until very recently. Was actually twenty Uh that was

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Speaker 1: I was trying to think about when our podcast started.

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Speaker 1: And you guys are gonna go now now that you've

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Speaker 1: got the ego boost. You said, you're just gonna out.

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Speaker 1: We jumped, we put our and um, we really wanted

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Speaker 1: to just, yeah, get that information out there because a

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Speaker 1: lot of people think that that you know, women have

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Speaker 1: had podcasts forever. No, not true. Not those are all men.

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Speaker 1: And Devin said, when I you know, picture the idea

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Speaker 1: of true romance. She said, do you think they'll love

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Speaker 1: women have a podcast? And I said, I guess we're

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Speaker 1: women women past, and we all we can do is

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Speaker 1: shop so that is so true. We were shopping at

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Speaker 1: the time. Okay, this is all making more sense. We're

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Speaker 1: getting our nails hair is done and shopping at the

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Speaker 1: same time. We're getting our hair is done, and we

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Speaker 1: were thinking with our damn noggins for the first time

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Speaker 1: in our goddamn lives. This is great. This is an

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Speaker 1: amazing origin story that will no doubt be made into

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Speaker 1: a film one day. Yeah, well, it's actually Nicole Kidman's attached. Okay,

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Speaker 1: Kidman's attached to play me, I think me because you

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Speaker 1: know what, she has a deviated septum, and so do I.

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Speaker 1: I guess you guys have both lied about that. Great great,

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Speaker 1: great great great No no no no no. It's like, well,

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Speaker 1: while you're added, I guess we can do some stuff

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Speaker 1: since I do have that DV. When Devon got her

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Speaker 1: nose jobs, she told her dad to tell people she

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Speaker 1: was in a car accident. I didn't, Yes you did.

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Speaker 1: These are lies, These are lies I've opened about the

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Speaker 1: plastic surgery. I'm not like a Kardashian. I know everybody's asking,

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Speaker 1: everybody's wondering how she looks so perfect all the time.

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Speaker 1: Guess what was actually my first question on this dock.

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Speaker 1: You did say it was contouring. I said, it's makeup. No,

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Speaker 1: it's not makeup. But it also wasn't a car accident.

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Speaker 1: And tell your dad to tell his assistant that it

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Speaker 1: was a car accident. At one point I told him

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Speaker 1: to say some sort of accident. I didn't, first of all,

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Speaker 1: and second of all, that septum was deviated even before then.

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Speaker 1: I just don't want you to appropriate my culture. That's

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Speaker 1: all I ask. What you haven't you think you've been

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Speaker 1: through something, you've had, You've been sick, you've had an illness.

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Speaker 1: Don't don't get even Devon started on her acid reflux

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Speaker 1: because we don't have the time. We'll turn it into

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Speaker 1: like a fundraising all right. I'm crossing off the first

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Speaker 1: two questions because my first was how does she look

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Speaker 1: so perfect? Second was talking about your asset reflux. So

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Speaker 1: we're okay, we've got those knocked out. We're gonna get

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Speaker 1: to know you guys a little bit better in a moment. First,

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Speaker 1: we're gonna tell our listeners a couple of the things

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Speaker 1: we're talking about. We're can get a little update from

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Speaker 1: the Minneapolis Police Department. We're gonna get a little updated. Yeah,

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Speaker 1: it turns out we're gonna get an update from the magazine.

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Speaker 1: We're gonna get an update on inflation, a lot of updates,

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Speaker 1: a lot updates, folks, all that, plenty more. But first,

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Speaker 1: Devin Carolina, we like to ask our guests, what is

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Speaker 1: something from your search history that is revealing about who

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Speaker 1: you are? Well? I think Austummers on the podcast, or

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Speaker 1: maybe the first time I was on this podcast, I

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Speaker 1: did say that I google Ivanka regularly googled her this morning.

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Speaker 1: I hate her. I think she's the band of my existence.

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Speaker 1: She represents to me the how is she still the

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Speaker 1: bank in though? Like, what's she doing now? I just

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Speaker 1: want to see her come up and I want to

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Speaker 1: see her and jaredd arrested in jail a deviated septim.

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Speaker 1: She had a serious actually, i've heard from a source

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Speaker 1: ak and makeup art. She can't breathe through her nose

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Speaker 1: because she's had so many nose jobs. She has a

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Speaker 1: completely different head than when I went to college with

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Speaker 1: her and then when her Yeah, we we saw each

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Speaker 1: other for a little bit. It was nothing serious, but

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Speaker 1: there was more of a situation ship. I think that's

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Speaker 1: what the kids were calling it. But a totally different

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Speaker 1: head like everything. Yeah, it's very sure she really went

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Speaker 1: through it. Um, she will be in court one day

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Speaker 1: saying they took out her frontal cortex and that's why

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Speaker 1: she made the decisions. She did my search history, so

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Speaker 1: Ivanka's always in there. But I also I did the

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Speaker 1: other day want to check in on the Bachelor in

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Speaker 1: Paradise couples because I saw that Joe and Serena had

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Speaker 1: an engagement party. I'm really happy for them. I do

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Speaker 1: you think they're in love? And so I just want

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Speaker 1: to check in on a few others. Grocery store, grocery store.

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Speaker 1: Joe and Serena was the one from Canada, right, Yeah, yeah, yeah,

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Speaker 1: they still they stuck together. They stuck together, they're living together,

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Speaker 1: they're getting married. They had an engagement party and did

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Speaker 1: a post about the color scheme for it, and that

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Speaker 1: was news that I read. And then I said, let's

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Speaker 1: check on on some other ones. Becca proposed to Tommy Thomas,

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Speaker 1: who was a villain. He sucked. I just think he's

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Speaker 1: a con artist. And um, when women are like I'm

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Speaker 1: proposing to him, it's an act of something like I'm like, no,

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Speaker 1: you just want to get married. Yeah, do you think

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Speaker 1: you're undercutting yourself by telling it too? Marriage? You know

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Speaker 1: what I mean? It's brave and feminism. Devon. What is

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Speaker 1: something from your search history? Okay, what I pulled for

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Speaker 1: you guys, out of all the options is us search

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Speaker 1: for Demilovado's hair hair in two thousand twelve. Um, Carolina,

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Speaker 1: you've just fully scratched your speaker on your computer and

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Speaker 1: deafened all of us. Oh, I'm sorry. That was definitely

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Speaker 1: a passive aggressive So right right during my turn to

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Speaker 1: speaks hairs and she's going to say it because I

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Speaker 1: injured them. He's like, oh, no, how to get healthier?

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Speaker 1: I had hearing because because I wasn't gonna go here,

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Speaker 1: but I will. Sometimes when we have actual Sometimes when

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Speaker 1: we have actual guests on our podcast Zoom, Carolina will

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Speaker 1: try to pretend like she's playing paying attention, but she'll

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Speaker 1: start typing and she doesn't realize that we can hear it,

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Speaker 1: and so she's just loudly typing in a deafening tone

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Speaker 1: and she's like, that sounds interesting and it couldn't history.

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Speaker 1: That's happening right now, for history is hurting my soul.

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Speaker 1: I once when a podcast was over a Great Bad

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Speaker 1: Store a podcast. The podcast it ended, the interview had ended.

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Speaker 1: I was responding to a text on my computer. Okay,

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Speaker 1: I'm thinking even more recent time, and I think you

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Speaker 1: actually lied and said that it was a work email,

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Speaker 1: but you just blew your cover, so you know what,

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Speaker 1: such a bit. I'm so our guests are listening right now,

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Speaker 1: thinking that I even all over them. Yeah I do.

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Speaker 1: I don't think they are. Yeah, they were famous. They're

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Speaker 1: probably listening, so I know, yeah, we have the most

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Speaker 1: famous listenership Michelle Obama. Please. It was famously when Michelle

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Speaker 1: came on True Romance Maker Marcos also followed her. We're

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Speaker 1: trying to arrange times at work on her end. You're

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Speaker 1: texting back and forth. You like, you buy what Megan saying.

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Speaker 1: We compete with one another to have the famous, the

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Speaker 1: most famous listener base. So this is cool. This is

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Speaker 1: like we're, you know, burying the hatchet a little bit

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Speaker 1: because there is tension between the two shows. Oh definitely,

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Speaker 1: all right, but I'm sorry, what was the I searched hair.

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Speaker 1: It looked amazing then, but I was just trying to

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Speaker 1: tell if it was extensions because her hair looks so

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Speaker 1: bad now and I can say her, because she's back

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Speaker 1: to shee her, but her hair looks her whole look

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Speaker 1: right now is terrible. So I just wanted to go

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Speaker 1: back to the old days. And it was two twelve

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Speaker 1: was the peak. She had like huge extensions, dark like

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Speaker 1: dark brown hair with like a maroon highlight. Beautiful. That

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Speaker 1: cool for the summer. No, oh my god, it was

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Speaker 1: it was it was unbrokenan mhmm, I'm not I'm not

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Speaker 1: a Demilovado historian. War All right, Well, you guys can

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Speaker 1: see the picture array behind me, but the listeners can't,

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Speaker 1: so please just go with me on this. It's kind

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Speaker 1: of embarrassing. Yeah, you you have like the name Demitria tattooed. Yeah,

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Speaker 1: that's beautiful. A lot of people don't know. Yeah, it's

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Speaker 1: a real name. Yes, skyscraper tattooed on his hand. What

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Speaker 1: is what? Something you guys think is overreadd I Carolina

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Speaker 1: looks stumped, so let me jump in. I think I

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Speaker 1: think data privacy is is overrated. I completely agree with Devon,

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Speaker 1: but I have my own because this is just like Caroline,

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Speaker 1: and Carolina will famously go to a restaurant, wait for

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Speaker 1: me to order, and then order the exact same thing,

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Speaker 1: but and not even comment on it, just as if

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Speaker 1: she also wanted that, like not saying I'll have the same,

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Speaker 1: but like order it like you haven't just cas This

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Speaker 1: may have happened once and the only reason Devon's mad

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Speaker 1: is because she likes to eat everything and doesn't want

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Speaker 1: dust to get the same meal so she can have

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Speaker 1: a bite of whatever I'm happening. Okay, this is some

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Speaker 1: early two thousand's era insults. Um, Devon's actually likes to

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Speaker 1: eat everything. Said, I went to Devon out to dinner

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Speaker 1: with Will Ferrell, and she whispered to me before dinner

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Speaker 1: started that she was nervous because it was we're eating

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Speaker 1: tapas style, and she was like, I can't share. So

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Speaker 1: I had to announce at the table as if I

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Speaker 1: were her mother, like by the way, Devon's going to

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Speaker 1: get her own plate and she's going to eat it

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Speaker 1: by herself, and Devon just nodded silently, And you're not

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Speaker 1: allowed to look at exactly. And also tapas tapas are overrated,

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Speaker 1: no offense to anyone, But I think I think data

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Speaker 1: privacy is overrated because I think back to the days

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Speaker 1: when you had to go to a store and human

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Speaker 1: beings would come up to you. Disgusting human obnoxious human

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Speaker 1: beings would come up to you and say, like, why

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Speaker 1: don't you try this? Like what do you think of that?

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Speaker 1: Like trying this on? This would look good? What are

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Speaker 1: you looking for? What are you shopping for today? That

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Speaker 1: is hell? And what our lack of data privacy has

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Speaker 1: done has made it possible the Internet boom, when we

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Speaker 1: didn't know that we were losing all our rights to privacy,

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Speaker 1: made it possible for us to skip that step. Everything

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Speaker 1: we want just gets shown to us, like the wedding

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Speaker 1: singer when I don't know what to watch on a

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Speaker 1: Saturday afternoon, And now people all just want to be

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Speaker 1: like I want, they're gonna take Gary alexis listening to you.

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Speaker 1: First of all, are you doing anything that anyone would

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Speaker 1: even care about? If not, then you're just getting more convenience?

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Speaker 1: And what's the problem? I like this, Like you sound

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Speaker 1: like an ethicist who works at Amazon. It's like, what's

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Speaker 1: the fucking deal? You get this? But so what we've

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Speaker 1: mapped the interior of your home with a fucking room

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Speaker 1: buck and better? I like that version, like pushing you

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Speaker 1: around it? What you care about data privacy? Now, okay,

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Speaker 1: so you're gonna shop in the store. I don't think.

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Speaker 1: So that's exactly how I feel. Say that about when

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Speaker 1: you know how people cover their cameras on top of

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Speaker 1: like piece of tape. They'll cover their cameras, cover there

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Speaker 1: whatever microphone. I am always like if someone and literally

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Speaker 1: Mark Zuckerberg does it, like you, there's been a picture

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Speaker 1: of him, so people, so a lot of normal people. Okay,

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Speaker 1: sounds good example because it's so common that it's so

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Speaker 1: well known that they're insecure, that even people who are

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Speaker 1: super high tech do it. Yeah. Also, he has billions

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Speaker 1: of dollars, so he has actually watch his cookies. I

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Speaker 1: accept all cookies because I actually get more. Do you

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Speaker 1: guys have an option for like extra cookies? You could

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Speaker 1: put a gun to my head and say what are cookies?

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Speaker 1: And I would say, just shoot me, get it over with,

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Speaker 1: because you're a very interesting gunmen who's like what are cookies?

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Speaker 1: And I'm like, I don't know, I don't know. Jokes

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Speaker 1: on me, isn't it. I Also I'm like, if the

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Speaker 1: n s A Wants to watch me watch Southern Charm

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Speaker 1: on my computer while I'm spilling peanut butter on my

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Speaker 1: chest and then eating it off my shirt. That's on them.

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Speaker 1: That's their problem. I don't need I'm not worried about it.

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Speaker 1: Watch me do whatever. What I think is overrated is

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Speaker 1: any kind of food that you have to wait in

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Speaker 1: line for. So once in a while you'll be driving

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Speaker 1: through restaurants anywhere and you'll see a line outside of

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Speaker 1: a restaurant or a food truck, and your thought is

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Speaker 1: that must be really good. My media thought is what

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Speaker 1: suckers because you can walk down the street and you're

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Speaker 1: waiting in line and you're thus your experience already sucks

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Speaker 1: for whatever you're doing. So Stumptown Coffee in New York

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Speaker 1: ten years ago, because you know, like I'm a wise

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Speaker 1: old lady. Ten ten yeah, ten, twelve years ago in

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Speaker 1: New York, this was considered like incredible, rare coffee. Peep.

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Speaker 1: We would wait down the street from the Ace Hotel

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Speaker 1: and I was like, I'm not going to wait in

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Speaker 1: line for coffee? What is that? This is my time matters.

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Speaker 1: I'm not going to wait in line for I remember

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Speaker 1: my friends once made me wait in line for um,

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Speaker 1: what's the burger place that's everywhere? Now? Devon shake, what's

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Speaker 1: your problem? Shake check. I remember when there was a

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Speaker 1: line through Union Square and I waited on it for hours,

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Speaker 1: and it's now it's ridiculous. So there's no such food

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Speaker 1: that that is that good that I will wait for it.

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Speaker 1: The croissant donuts that were in New York that was

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Speaker 1: a line people would wake up like five am to

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Speaker 1: get them. I enjoy good things. I like food. I'm

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Speaker 1: not going to wait in line for anything. Right for you,

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Speaker 1: it sounds for both of you, sounds like immediate gratification

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Speaker 1: is definitely like number one, sure, do not delay, And yes,

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Speaker 1: I don't funk with delays, even if they cost me

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Speaker 1: my fucking privacy. I actually think about it a lot

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Speaker 1: when I'm getting lifts, because you know, a faster car

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Speaker 1: sometimes costs more money, and I think I have to

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Speaker 1: think about it, like, Okay, would I rather wait twenty

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Speaker 1: minutes or when I rather pay ten dollars more and

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Speaker 1: be out of here right now? Just get away from

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Speaker 1: this awkward conversation at this Yeah, I get away from

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Speaker 1: my plastic surgeon's office. So yeah, yeah, all right, what's

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Speaker 1: what's something you guys think is underrated? Okay? I was

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Speaker 1: just reminded of something that I think is really underrated,

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Speaker 1: which is me on uber dot com because my my

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Speaker 1: rating on Uber has been horrible for years and just okay,

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Speaker 1: listen listeners. Just when you think that's a red flag,

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Speaker 1: it's not. Because I have a five point of rating

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Speaker 1: on Lift, meaning I'm a good person. But I actually

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Speaker 1: took an Uber and the guy said, wow, you're rating

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Speaker 1: so low, but you actually seem like a good person.

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Speaker 1: I was like, I am a good actually, like I

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Speaker 1: have a good person. What do you mean? But I

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Speaker 1: don't know where this comes from, but I think it's

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Speaker 1: actually I think it's actually the patriarchy because I think

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Speaker 1: one save, I think one person gave me a bad rating.

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Speaker 1: I think this happened in Cleveland, Ohio when I was

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Speaker 1: there because I was there for the r NC. The

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Speaker 1: ubers just just just to attend, by the way, no

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Speaker 1: I was working there. She was working at on my

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Speaker 1: cockety assistants know she was there to cover for the

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Speaker 1: Daily Show. I feel like adding more context, because that's

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Speaker 1: good that context. Definitely, I mean not to attend to

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Speaker 1: work there hand out paphlets on what their abortion was

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Speaker 1: gonna our Christian nation and the Christian I wanted to

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Speaker 1: show them that they're one uh, one second old fetus

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Speaker 1: already learned how to read right and that therefore there

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Speaker 1: one second fetus was smarter than me. Drum roll please,

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Speaker 1: okay No. So I was there and the ubers were

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Speaker 1: so talkative, like the people were so talkative that I

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Speaker 1: just had to start being rude because I was like,

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Speaker 1: I just don't want to talk to this person about

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Speaker 1: like what are you in pound for? What do you

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Speaker 1: all doing here? Like I just couldn't do it. And

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Speaker 1: then also like I kept canceling them because they would

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Speaker 1: take so long because it was Ohio, I think so

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Speaker 1: like I would be trying to get to work and

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Speaker 1: they would be like circling the block. It was ten

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Speaker 1: minutes away. I just had to cancel. So I think

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Speaker 1: my my rating went down there. Okay, then I start

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Speaker 1: then I come back to my life in New York.

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Speaker 1: I start getting in the ubers and what are these

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Speaker 1: ubers driven by men? And what do they see? Low rating?

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Speaker 1: And then what do they see? Also a woman? And

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Speaker 1: they think, oh, she must be what's that for a

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Speaker 1: letter word? A bit? That's what they thought I was

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Speaker 1: was gonna say another one, and they exactly so they thought,

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Speaker 1: oh self, fulfilling prophecy. You know what, she's a bit.

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Speaker 1: She probably doesn't even like be nice to men. She's

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Speaker 1: probably rejects me, just like Sarah Swankins in middle school did.

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Speaker 1: I'm gonna give her a three star reading and it

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Speaker 1: doesn't matter what I do. I'm so nice. I like

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Speaker 1: try to make conversation. You smoke in their cars with

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Speaker 1: the way, and I and I eat onions. But aside

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Speaker 1: from that, I'm I'm really pilly cheese steaks at nine am,

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Speaker 1: spilling it all over. I don't know what. I don't

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Speaker 1: know what to do about this, but it is. Yeah.

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Speaker 1: I had a like lowish rating. I don't know when

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Speaker 1: we were first working together, Miles, do you remember this.

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Speaker 1: I we would like the drivers say like, yo, your

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Speaker 1: rating is low. I think so, And also like we

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Speaker 1: kept like I kept getting dropped, like they would just

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Speaker 1: cancel on repeatedly, and so I finally like checked my

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Speaker 1: score and it was like in the it wasn't that low.

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Speaker 1: But then from that point forward, I've been like pressing,

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Speaker 1: like just stressed out by every interaction with an uber

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Speaker 1: driver and like being too friendly, which I think also

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Speaker 1: isn't good. I'm like yeah, so yeah, I'm tilting on Uber.

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Speaker 1: It's bad. It's bad for me. What about you? I

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Speaker 1: actually have a perfect lift rating. The one of the

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Speaker 1: driver said he had never seen one like mine. He laughed.

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Speaker 1: He was like, you have you must have the app

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Speaker 1: he and I said, oh, really do I? I think

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Speaker 1: I'm just a polite person, I said, but you will

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Speaker 1: not believe what my friend does in these cars. I'm

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Speaker 1: at four point eight eight on Uber now, by the way,

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Speaker 1: so all the hard work paid off. What okay, it

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Speaker 1: must be nice and I won't be sharing mine on

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Speaker 1: here because I have a reputation to protect. So true, fair, fair, Carolina,

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Speaker 1: Do you have an underrated or my underrated is never

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Speaker 1: have I ever? On Netflix? Friend, I am not underrated.

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Speaker 1: It's like number three on the trendy doesn't destroys my life.

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Speaker 1: Just talk about reputation. You are first of the first

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Speaker 1: one to share mind comes in. She comes in with

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Speaker 1: another scratch on the speakers. She's like, Netflix, I don't

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00:23:10,840 --> 00:23:14,399
Speaker 1: know what scratches you're talking about. I know you're the

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00:23:14,400 --> 00:23:16,359
Speaker 1: one who can't hear it. You're the only one who's

385
00:23:16,640 --> 00:23:23,280
Speaker 1: not wincing when it's actually bad. But okay, go ahead, okay,

386
00:23:23,320 --> 00:23:26,520
Speaker 1: start going to recommend friends. You're gonna recommend friends on

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00:23:28,200 --> 00:23:35,560
Speaker 1: com about a bunch of friends, I talk about tension life.

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Speaker 1: You think you know nderrated? Me and a friendship? Yeah,

389
00:23:39,480 --> 00:23:43,879
Speaker 1: me as a friend, Me as a podcast, yes, me

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00:23:44,000 --> 00:23:49,040
Speaker 1: as a technological person. Who did you like between? Who

391
00:23:49,080 --> 00:23:54,120
Speaker 1: did you like between Ben and Paxton? Ben? You like Ben?

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00:23:54,520 --> 00:23:58,359
Speaker 1: Paxiston looks like he's a hundred years old old. The

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00:23:58,440 --> 00:24:00,800
Speaker 1: men that are cast on this show need to go

394
00:24:01,000 --> 00:24:03,800
Speaker 1: to see Dr Jessica Wou and Beverly Hills who gives them.

395
00:24:03,920 --> 00:24:06,680
Speaker 1: But you need to not be cast in high school ship.

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00:24:06,800 --> 00:24:09,160
Speaker 1: It's like when you look at like that guy Darren Bartnett.

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Speaker 1: Yeah yeah, I'm like this motherfucker thirty one, and I'm like,

398
00:24:11,920 --> 00:24:14,520
Speaker 1: he looks like a guy who is like cruising a

399
00:24:14,640 --> 00:24:21,200
Speaker 1: high school for exactly exactly oh Man show. Yeah yeah,

400
00:24:21,720 --> 00:24:27,240
Speaker 1: some people don't know it. Devon. I'm when I say underrated,

401
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Speaker 1: I want to I want to get a little bit

402
00:24:28,600 --> 00:24:30,840
Speaker 1: into this because I feel like someone attacks my character.

403
00:24:30,920 --> 00:24:34,760
Speaker 1: As they say on the show Bachelorette, she attacks my character.

404
00:24:35,119 --> 00:24:38,480
Speaker 1: And when I say underrated, I mean that the show

405
00:24:38,600 --> 00:24:41,720
Speaker 1: Ships Creek was rated very well, and it was rated

406
00:24:41,800 --> 00:24:46,040
Speaker 1: just as I mean, it got awards awards, and I

407
00:24:46,160 --> 00:24:48,040
Speaker 1: think that never have I ever should be up there.

408
00:24:48,040 --> 00:24:49,720
Speaker 1: I think it's a classic right now. I think a

409
00:24:49,840 --> 00:24:54,080
Speaker 1: lot of the younger generation, the jen zeers, when I

410
00:24:54,119 --> 00:24:56,399
Speaker 1: think it should be a millennial even boomers I believe

411
00:24:56,440 --> 00:25:02,120
Speaker 1: will like this show. So you okay, I actually had

412
00:25:02,240 --> 00:25:04,639
Speaker 1: lumped it in. This is helpful underrated for me. I

413
00:25:04,680 --> 00:25:06,600
Speaker 1: had lumped it and was like shows that I'm too

414
00:25:06,680 --> 00:25:10,040
Speaker 1: old to watch and care about, and like that it

415
00:25:10,080 --> 00:25:11,920
Speaker 1: would be weird for me to watch. Never have I

416
00:25:12,000 --> 00:25:14,840
Speaker 1: ever seen this is a beneficial experience. I feel like

417
00:25:14,960 --> 00:25:18,000
Speaker 1: I am saying that is to you know, quit the

418
00:25:18,119 --> 00:25:21,160
Speaker 1: tension that's developing between me and this is actually really

419
00:25:21,200 --> 00:25:27,440
Speaker 1: good for me. Exactly, I think we should just exactly

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Speaker 1: if I can get the green square for one more second,

421
00:25:30,320 --> 00:25:32,879
Speaker 1: just to say one last thing. I didn't know, and

422
00:25:32,960 --> 00:25:35,800
Speaker 1: I'm taking note of the fact that the definition of

423
00:25:35,960 --> 00:25:40,520
Speaker 1: underrated is actually as compared to Ship's Creek. I wasn't aware.

424
00:25:41,480 --> 00:25:43,840
Speaker 1: I thought she was going to say something, and then

425
00:25:43,960 --> 00:25:50,760
Speaker 1: she turns up. She's the same devon. Don't expect me

426
00:25:50,840 --> 00:25:54,800
Speaker 1: to change. I've already tried um. All right, Well, we're

427
00:25:54,840 --> 00:25:57,879
Speaker 1: gonna we're gonna let you just marrinate on that one.

428
00:25:57,920 --> 00:26:00,280
Speaker 1: We're just gonna take a break. I guess that's around

429
00:26:01,080 --> 00:26:04,040
Speaker 1: line from a woman who made it's like a Lisa

430
00:26:04,080 --> 00:26:07,800
Speaker 1: Barlow like whoever, whichoever? The Housewives almost gets arrested for

431
00:26:07,880 --> 00:26:14,360
Speaker 1: fraud been arrested. All right, let's take a quick break.

432
00:26:14,440 --> 00:26:27,200
Speaker 1: We'll be right back to talk about the news. And

433
00:26:27,600 --> 00:26:32,120
Speaker 1: we're back and we have an update from the Minneapolis

434
00:26:32,160 --> 00:26:35,560
Speaker 1: Police Department. And just like generally, the police have been

435
00:26:35,600 --> 00:26:40,480
Speaker 1: really good at dealing with criticism and historically, yes, historically

436
00:26:41,080 --> 00:26:42,800
Speaker 1: have you did you guys watch We Own This City?

437
00:26:43,359 --> 00:26:45,240
Speaker 1: I watched the pilot and then I was like, this

438
00:26:45,400 --> 00:26:49,320
Speaker 1: is so heavy, classic classic white privilege thing to say.

439
00:26:49,440 --> 00:26:50,800
Speaker 1: I was like, this is so heavy. I have to

440
00:26:50,880 --> 00:26:53,360
Speaker 1: put this aside for later. I learned about this later.

441
00:26:54,040 --> 00:26:58,680
Speaker 1: It's based on it's a lot of same like people

442
00:26:58,840 --> 00:27:02,480
Speaker 1: being bad cops repeatedly, which is a criticism I heard,

443
00:27:02,520 --> 00:27:05,840
Speaker 1: I've heard. I find it pretty entertaining. But like one

444
00:27:05,880 --> 00:27:08,240
Speaker 1: of the big plot points is that after the Freddie

445
00:27:08,520 --> 00:27:13,080
Speaker 1: Gray protests, the police just like stopped policing and stopped

446
00:27:13,119 --> 00:27:15,760
Speaker 1: even leaving their squad cars like when they came to

447
00:27:15,880 --> 00:27:22,760
Speaker 1: a crime. So that's that's one example. The NYPD went

448
00:27:22,800 --> 00:27:27,160
Speaker 1: on strike and crime went down. You're kidding the irony,

449
00:27:27,720 --> 00:27:30,800
Speaker 1: but yeah, I mean like in Minneapolis specifically. You know,

450
00:27:30,880 --> 00:27:33,720
Speaker 1: there's a lot of attention on the Minneapolis Police Department

451
00:27:33,720 --> 00:27:35,240
Speaker 1: because there's a lack a lot of calls and like

452
00:27:35,359 --> 00:27:38,119
Speaker 1: defunding the police there, and people were like, yeah, there

453
00:27:38,160 --> 00:27:40,320
Speaker 1: was a lot of momentum to that, but the biggest

454
00:27:40,359 --> 00:27:42,040
Speaker 1: bite that was actually sort of taken out of their

455
00:27:42,119 --> 00:27:45,520
Speaker 1: policing budget was like about eight million dollars despite what

456
00:27:45,840 --> 00:27:49,920
Speaker 1: cop humpers across the political spectrum we're saying, and the

457
00:27:50,000 --> 00:27:53,040
Speaker 1: city also like eventually voted to like not reform the

458
00:27:53,080 --> 00:27:56,480
Speaker 1: police department as like a department for public safety. So

459
00:27:56,720 --> 00:27:59,480
Speaker 1: the blue line you know, survived in that instance. But

460
00:28:00,200 --> 00:28:04,040
Speaker 1: by this year now like in their budgets are actually

461
00:28:04,200 --> 00:28:07,600
Speaker 1: higher than they were pre George Floyd. So all's, well,

462
00:28:07,720 --> 00:28:10,440
Speaker 1: that ends well for them, but there's like there's there's

463
00:28:10,520 --> 00:28:14,320
Speaker 1: there's mounting crisis with the city because the police are

464
00:28:14,400 --> 00:28:19,200
Speaker 1: basically just draining the fucking city budget with all their ships.

465
00:28:19,240 --> 00:28:23,000
Speaker 1: So to start off, there's been an exodus of police

466
00:28:23,080 --> 00:28:26,000
Speaker 1: officers who have left because their feelings were just hurt

467
00:28:26,080 --> 00:28:28,680
Speaker 1: by the protests nearly three hundred officers. This is from

468
00:28:29,000 --> 00:28:31,480
Speaker 1: this piece of Mother Jones saying that nearly three hundred

469
00:28:31,840 --> 00:28:34,480
Speaker 1: officers left the department since Floyd's murder. That's a third

470
00:28:34,520 --> 00:28:36,880
Speaker 1: of the force, and two hundred of them have left

471
00:28:36,960 --> 00:28:41,440
Speaker 1: with workers comp settlement checks and lucrative disability pensions based

472
00:28:41,600 --> 00:28:45,400
Speaker 1: on their claims that the policing at the protests of

473
00:28:46,680 --> 00:28:50,080
Speaker 1: gave them PTSD the feelings, and so now they are

474
00:28:50,160 --> 00:28:54,240
Speaker 1: getting huge checks to not even fucking work anymore. And

475
00:28:54,320 --> 00:28:56,880
Speaker 1: the city has estimated to pay about thirty five million

476
00:28:57,000 --> 00:29:00,560
Speaker 1: in these disability claims and these like workers can settlements

477
00:29:00,600 --> 00:29:05,200
Speaker 1: like since left, yeah, and and like, and these are

478
00:29:05,240 --> 00:29:06,840
Speaker 1: cops that have, like some of these cops have like

479
00:29:07,000 --> 00:29:10,760
Speaker 1: extensive records of misconduct, like leading to killings and just

480
00:29:10,880 --> 00:29:13,680
Speaker 1: all kinds of just shitty behavior. So this is slowly

481
00:29:14,160 --> 00:29:17,480
Speaker 1: creating this like fiscal omni crisis. And that's just sort

482
00:29:17,520 --> 00:29:20,760
Speaker 1: of one dimension of it. Because here's the other huge number.

483
00:29:20,880 --> 00:29:24,800
Speaker 1: The city has paid out eleven one hundred eleven million

484
00:29:24,920 --> 00:29:28,640
Speaker 1: dollars in settlements to people that were fucking brutalized by

485
00:29:28,720 --> 00:29:33,040
Speaker 1: the Minneapolis police in the first fifteen days after George

486
00:29:33,080 --> 00:29:37,320
Speaker 1: Floyd's murder. They're saying all the misconduct from the first

487
00:29:37,560 --> 00:29:40,320
Speaker 1: fifteenth day in response to that murder has turned into

488
00:29:40,400 --> 00:29:44,040
Speaker 1: one eleven million dollars in settlements. So city officials are

489
00:29:44,040 --> 00:29:45,760
Speaker 1: not like kind of in a buying because on one hand,

490
00:29:45,760 --> 00:29:48,400
Speaker 1: they're like, well, this is fucking too much, Like they're

491
00:29:48,440 --> 00:29:50,440
Speaker 1: just taking off with all this money for reasons like

492
00:29:50,520 --> 00:29:53,080
Speaker 1: we're not totally aligned with but also if they go

493
00:29:53,200 --> 00:29:55,000
Speaker 1: to court and try and fight it, they could end

494
00:29:55,080 --> 00:29:58,160
Speaker 1: up paying even more. So you know, they're in a

495
00:29:58,240 --> 00:30:00,520
Speaker 1: bit of a buying just being like, so you raise

496
00:30:00,640 --> 00:30:05,680
Speaker 1: taxes and then cut back other programs to offset the

497
00:30:05,840 --> 00:30:08,400
Speaker 1: cost of just having to deal with the police in

498
00:30:08,480 --> 00:30:11,680
Speaker 1: our city. It's just a very it's a very fucked

499
00:30:11,720 --> 00:30:13,800
Speaker 1: up situation as you look at it, because even if

500
00:30:13,840 --> 00:30:16,840
Speaker 1: you you know, as they even ideated around, it turns

501
00:30:16,880 --> 00:30:19,720
Speaker 1: out it's they like the cops basically played like a

502
00:30:19,840 --> 00:30:23,120
Speaker 1: un no reverse card on the city. Right. I would

503
00:30:23,160 --> 00:30:25,760
Speaker 1: love to read a quick quote by Miriam Kabba. She's

504
00:30:25,760 --> 00:30:28,320
Speaker 1: an amazing abolitionist, and I think it goes into what

505
00:30:28,440 --> 00:30:30,560
Speaker 1: you guys said, But she said, if we say anything

506
00:30:30,600 --> 00:30:33,560
Speaker 1: about the impunity with which they harm people, this is

507
00:30:33,600 --> 00:30:37,120
Speaker 1: going to hurt their feelings, and hurt feelings equals massive crime.

508
00:30:37,480 --> 00:30:39,480
Speaker 1: It sounds ridiculous if you actually think about it, but

509
00:30:39,560 --> 00:30:42,600
Speaker 1: it is convincing to vast swaths of the country. What

510
00:30:42,760 --> 00:30:45,800
Speaker 1: other profession do we say that because they have low morale,

511
00:30:45,920 --> 00:30:49,200
Speaker 1: we have to suffer violence as a result. So it's

512
00:30:49,240 --> 00:30:52,240
Speaker 1: this idea that like, we need to fucking get Blue

513
00:30:52,320 --> 00:30:55,680
Speaker 1: Lives Matter tattooed on our bodies to show police their

514
00:30:55,760 --> 00:31:01,000
Speaker 1: support or else someone's gonna murder us. It's the crazy

515
00:31:01,200 --> 00:31:05,600
Speaker 1: idea and it's completely mythical, and I think it's also

516
00:31:06,520 --> 00:31:08,720
Speaker 1: much more influenced. Hate to say it, because I was

517
00:31:08,720 --> 00:31:10,240
Speaker 1: a huge fan of the show and it got me

518
00:31:10,320 --> 00:31:13,760
Speaker 1: through college Dick Wolf's Law and Order. I think it's

519
00:31:13,880 --> 00:31:16,280
Speaker 1: plagues the nation more than we even know, and it's

520
00:31:16,320 --> 00:31:19,920
Speaker 1: given us this collective story that they are here, they

521
00:31:20,000 --> 00:31:22,840
Speaker 1: work all the time to solve crime, when really they're

522
00:31:22,920 --> 00:31:26,560
Speaker 1: just writing parking tickets, yeah, or killing people over a

523
00:31:26,760 --> 00:31:30,520
Speaker 1: disputed twenty dollar bill, or you know, like recently happened

524
00:31:30,680 --> 00:31:33,720
Speaker 1: um pulling over a pregnant black mother with her children

525
00:31:33,760 --> 00:31:35,920
Speaker 1: in the car and pulling their gun on her. Her

526
00:31:36,120 --> 00:31:39,760
Speaker 1: entire pop culture like of you know, my favorite pop

527
00:31:39,800 --> 00:31:43,440
Speaker 1: culture was like eighties movies where like die Hard was

528
00:31:43,520 --> 00:31:46,160
Speaker 1: my favorite movie most of my life, and like that's

529
00:31:46,240 --> 00:31:50,000
Speaker 1: just like a no nonsense cop who like is just

530
00:31:50,400 --> 00:31:57,040
Speaker 1: there and using violence like at his own discretion. And like, yeah,

531
00:31:57,080 --> 00:31:59,480
Speaker 1: I mean the whole the whole thing is like built

532
00:31:59,520 --> 00:32:02,000
Speaker 1: on that, and like that, I feel like that is

533
00:32:02,560 --> 00:32:05,320
Speaker 1: a large part of Like it's not necessarily even the

534
00:32:05,600 --> 00:32:08,640
Speaker 1: bureaucratic stuff as much as it's just like how deeply

535
00:32:08,960 --> 00:32:12,240
Speaker 1: ingrained culturally so much of this ship is that like

536
00:32:12,320 --> 00:32:14,760
Speaker 1: our ideas around safety, right, This is something we talked

537
00:32:14,760 --> 00:32:17,480
Speaker 1: about with our guests yesterday, seth about like being able

538
00:32:17,560 --> 00:32:21,000
Speaker 1: to break out of just like this sort of reflective

539
00:32:21,080 --> 00:32:24,360
Speaker 1: thinking where people here most people say they hear defund

540
00:32:24,400 --> 00:32:28,720
Speaker 1: the police. That means no police. That means violent dystopia.

541
00:32:28,840 --> 00:32:32,440
Speaker 1: And that's the only that's the only conclusion from that term,

542
00:32:32,560 --> 00:32:36,080
Speaker 1: from that phrase, rather than can we sit down and

543
00:32:36,160 --> 00:32:40,040
Speaker 1: actually understand what the root causes of crime was crime?

544
00:32:40,200 --> 00:32:43,880
Speaker 1: Are you wonder why people who are wealthy typically aren't

545
00:32:43,920 --> 00:32:47,040
Speaker 1: the ones shoplifting or stealing cars because they have the

546
00:32:47,200 --> 00:32:50,160
Speaker 1: means to these, aren't they don't commit survival crime? A

547
00:32:50,200 --> 00:32:51,959
Speaker 1: lot of time we're just being like this is how

548
00:32:52,000 --> 00:32:55,360
Speaker 1: people are surviving because they're excluded from the traditional economy.

549
00:32:55,600 --> 00:32:58,240
Speaker 1: So that's what this looks like. Rather than yo, man,

550
00:32:58,320 --> 00:33:00,960
Speaker 1: they need fucking you know, fucking aatling guns and ship

551
00:33:01,440 --> 00:33:04,640
Speaker 1: and you know, bigger trucks and all this other ship

552
00:33:04,800 --> 00:33:07,400
Speaker 1: and we kind of fall in this absurd problem solving

553
00:33:07,440 --> 00:33:10,959
Speaker 1: mode when really it seems like the thing is public safety.

554
00:33:11,040 --> 00:33:13,440
Speaker 1: How do we keep the public safe? And who does that?

555
00:33:13,600 --> 00:33:16,400
Speaker 1: And there's probably there's so there's so much nuance to

556
00:33:16,480 --> 00:33:18,840
Speaker 1: it that not everything has to be responded to with

557
00:33:19,120 --> 00:33:22,360
Speaker 1: agro person that's armed to the fucking hill. Well, think

558
00:33:22,360 --> 00:33:24,280
Speaker 1: about when you call the police. You don't call the

559
00:33:24,320 --> 00:33:27,400
Speaker 1: police before violence has occurred. You don't call the police

560
00:33:27,480 --> 00:33:30,720
Speaker 1: before property theft. You call the police after. How can

561
00:33:30,840 --> 00:33:35,400
Speaker 1: we say then they prevent anything like that. It's just

562
00:33:35,600 --> 00:33:39,400
Speaker 1: this weird backwards way of thinking about life in terms

563
00:33:39,440 --> 00:33:44,920
Speaker 1: of punishment rather than a social network that gives people

564
00:33:45,000 --> 00:33:50,760
Speaker 1: more options than two resort to petty theft or which is,

565
00:33:50,920 --> 00:33:53,200
Speaker 1: you know, most of what the police are doing right now.

566
00:33:53,360 --> 00:33:56,360
Speaker 1: For instance, there was something so it would be funny

567
00:33:56,400 --> 00:33:58,760
Speaker 1: if it wasn't so fucking tragic. There is a picture

568
00:33:58,920 --> 00:34:02,120
Speaker 1: of a black woman from a seven eleven camera and

569
00:34:02,600 --> 00:34:05,320
Speaker 1: the police released it saying she's wanted for stealing a

570
00:34:05,440 --> 00:34:11,600
Speaker 1: slim gem. Mhm. The resources alone going into that are

571
00:34:11,719 --> 00:34:15,120
Speaker 1: fucking ridiculous. When a woman is stealing food, it makes

572
00:34:15,160 --> 00:34:17,520
Speaker 1: me insane. It makes me really sad, And I think

573
00:34:17,560 --> 00:34:20,880
Speaker 1: it's like the biggest just mold on our country. I

574
00:34:20,920 --> 00:34:23,080
Speaker 1: think that's like the thing that when you feel that

575
00:34:23,160 --> 00:34:26,600
Speaker 1: frustration is like really having to encourage people around you

576
00:34:26,719 --> 00:34:29,000
Speaker 1: that to be like the option is in a dystopia,

577
00:34:29,120 --> 00:34:32,520
Speaker 1: just so you know, because we're already there, the idea

578
00:34:32,640 --> 00:34:36,359
Speaker 1: that you are exactly police even more in giving them

579
00:34:36,400 --> 00:34:39,839
Speaker 1: more weapons. That's the fucking dystopia, not the version where

580
00:34:40,200 --> 00:34:44,040
Speaker 1: cops are like solving certain kinds of crime while also

581
00:34:44,160 --> 00:34:46,960
Speaker 1: like supporting human beings to try and elevate them out

582
00:34:47,000 --> 00:34:50,320
Speaker 1: of situations that cause them to do what you know,

583
00:34:50,440 --> 00:34:53,520
Speaker 1: the police called extra legal activity or whatever. So I

584
00:34:53,640 --> 00:34:56,840
Speaker 1: just thin kind of white children. If white children of

585
00:34:56,880 --> 00:34:59,040
Speaker 1: white people were being affected this way, if a white

586
00:34:59,120 --> 00:35:02,480
Speaker 1: fifteen year old foster child had been tasted or shot,

587
00:35:03,480 --> 00:35:06,719
Speaker 1: this conversation would not be radical at all. And the

588
00:35:06,800 --> 00:35:09,239
Speaker 1: fact that it's radical just speaks directly to race. And

589
00:35:09,360 --> 00:35:13,640
Speaker 1: I think you know when people were every you know,

590
00:35:14,000 --> 00:35:17,640
Speaker 1: anyone with a working brain and heart was so horrified.

591
00:35:17,680 --> 00:35:19,799
Speaker 1: But what was going on in the summer of even

592
00:35:19,800 --> 00:35:21,680
Speaker 1: though it's what goes on all the time, but the

593
00:35:21,760 --> 00:35:25,440
Speaker 1: fact that when you mentioned abolition people are defunding the police,

594
00:35:25,480 --> 00:35:30,040
Speaker 1: people were acting like that was a radical reaction meant

595
00:35:30,120 --> 00:35:34,399
Speaker 1: that they we're not looking at these people like their own.

596
00:35:34,560 --> 00:35:36,640
Speaker 1: They were looking at these people like not my problem.

597
00:35:39,440 --> 00:35:43,680
Speaker 1: It's already a dystopia for someone, you know, very dystopia

598
00:35:43,760 --> 00:35:47,480
Speaker 1: for someone. It's a normal reaction to someone saying like, yeah,

599
00:35:47,640 --> 00:35:51,600
Speaker 1: this isn't a safe world. You know, this isn't a

600
00:35:52,000 --> 00:35:55,000
Speaker 1: protection to me at all. Yeah, Miriam Kabba talks about

601
00:35:55,000 --> 00:35:59,920
Speaker 1: abolition is not is about building something rather than removing something.

602
00:36:00,120 --> 00:36:03,440
Speaker 1: It's about building social networks, not about just removing one

603
00:36:03,520 --> 00:36:07,800
Speaker 1: part of the country, Yeah, which is our militarized police.

604
00:36:08,920 --> 00:36:11,440
Speaker 1: We're talking about Alec Carrick Gtsands. I think another like

605
00:36:11,640 --> 00:36:13,560
Speaker 1: kind of huge part of the edifice of like the

606
00:36:13,840 --> 00:36:17,680
Speaker 1: pro police, like can't can't possibly imagine a reality without

607
00:36:18,400 --> 00:36:22,879
Speaker 1: police is the way that the like local local media

608
00:36:23,000 --> 00:36:26,279
Speaker 1: especially but I mean definitely the New York Times and

609
00:36:26,880 --> 00:36:29,240
Speaker 1: you know national media as well, just use the police

610
00:36:29,280 --> 00:36:34,600
Speaker 1: as an unquestioning the only source on like most most things,

611
00:36:34,920 --> 00:36:37,800
Speaker 1: it's pretty fun and crazy. So go follow Eric Alec

612
00:36:37,960 --> 00:36:42,560
Speaker 1: Karrick Gitsanus. He spends all his time and energy just

613
00:36:42,960 --> 00:36:45,480
Speaker 1: going one news story after another, just be like all right,

614
00:36:45,680 --> 00:36:50,880
Speaker 1: so here's here's another one. Yeah. Yeah. And he's also

615
00:36:50,960 --> 00:36:55,800
Speaker 1: like runs a huge fund that helps fight human caging.

616
00:36:56,440 --> 00:36:59,759
Speaker 1: So there there's another story that I think kind of

617
00:37:00,000 --> 00:37:04,760
Speaker 1: of reminded me of this problem that so it's completely different,

618
00:37:04,920 --> 00:37:09,680
Speaker 1: but it's another one of these institutions that is unquestionably

619
00:37:10,000 --> 00:37:13,879
Speaker 1: just given carte blanche to like do whatever the funk

620
00:37:13,960 --> 00:37:18,600
Speaker 1: at once. And that's like corporations, and just like corporations

621
00:37:18,640 --> 00:37:21,920
Speaker 1: acting within a market. That there's this article from over

622
00:37:21,960 --> 00:37:25,640
Speaker 1: the weekend where the Wall Street Journal like published thing

623
00:37:25,760 --> 00:37:30,000
Speaker 1: Disney's new pricing magic more profit from fewer park visitors,

624
00:37:30,600 --> 00:37:36,120
Speaker 1: and they're just like amazed. They're they're like speaking approvingly

625
00:37:36,200 --> 00:37:39,480
Speaker 1: in economic terms about how the company has raised some

626
00:37:39,680 --> 00:37:43,400
Speaker 1: prices and eliminated or started charging for other services and

627
00:37:43,560 --> 00:37:46,680
Speaker 1: features that used to be free and calling it like

628
00:37:46,920 --> 00:37:51,879
Speaker 1: pricing magic and the like The New York Times Mickey

629
00:37:51,960 --> 00:37:55,120
Speaker 1: Mouse was the one came up with a genius And

630
00:37:56,239 --> 00:37:59,000
Speaker 1: The New York Times another thing that was like, well

631
00:37:59,200 --> 00:38:03,160
Speaker 1: with Biden for giving student debt, like colleges are just

632
00:38:03,239 --> 00:38:06,680
Speaker 1: going to charge more because now they can just like

633
00:38:06,840 --> 00:38:10,600
Speaker 1: bacon that ten tho dollars into the price and that

634
00:38:10,719 --> 00:38:14,040
Speaker 1: money goes to them and they don't have to like worry,

635
00:38:14,600 --> 00:38:16,320
Speaker 1: they don't have to worry about it basically, and like

636
00:38:16,520 --> 00:38:20,200
Speaker 1: that's just how they're like in both cases, it's companies

637
00:38:20,280 --> 00:38:25,080
Speaker 1: doing what is objectively like if you know, just like

638
00:38:25,280 --> 00:38:29,080
Speaker 1: bad bad ship, like taking advantage of the of the

639
00:38:29,239 --> 00:38:34,960
Speaker 1: pandemic to like discriminated against Yeah, like using the magic

640
00:38:35,080 --> 00:38:38,880
Speaker 1: of the pandemic. I'm sorry to discriminate against like the

641
00:38:39,920 --> 00:38:43,920
Speaker 1: lower earning part of your consumer base. And then on

642
00:38:44,000 --> 00:38:47,080
Speaker 1: the college front, it's like exacerbating a problem that we're

643
00:38:47,120 --> 00:38:51,040
Speaker 1: already acknowledging as like a huge, massive problem in the country.

644
00:38:51,320 --> 00:38:55,040
Speaker 1: But in both cases it's not treated as like a

645
00:38:55,239 --> 00:38:58,200
Speaker 1: normative thing. It's like objective. They just treated as like

646
00:38:58,239 --> 00:39:01,680
Speaker 1: an objective fact that this is corporations do. This is

647
00:39:01,800 --> 00:39:06,840
Speaker 1: like smart business, and it's I don't know, it's just

648
00:39:07,080 --> 00:39:11,040
Speaker 1: very frustrating, and again it feels like the sort of

649
00:39:11,160 --> 00:39:14,920
Speaker 1: thing that we've just lost the ability to imagine or

650
00:39:15,360 --> 00:39:18,840
Speaker 1: I don't know, it's not like these damn people like

651
00:39:18,960 --> 00:39:22,560
Speaker 1: we've lost our imagination. It's that we've never been given

652
00:39:22,960 --> 00:39:26,960
Speaker 1: an opportunity to imagine anything other than a world that

653
00:39:27,160 --> 00:39:32,880
Speaker 1: is ruled by corporations and you know, market forces. No,

654
00:39:33,080 --> 00:39:35,040
Speaker 1: they're definitely there in charge of the narrative. I mean,

655
00:39:35,080 --> 00:39:37,840
Speaker 1: you're talking about Disney, which is a storyteller. You know,

656
00:39:38,080 --> 00:39:43,200
Speaker 1: like it sounds paranoid, but it's or you know, like

657
00:39:43,320 --> 00:39:46,080
Speaker 1: a conspiracy theory. But no, these are people who literally

658
00:39:46,360 --> 00:39:49,239
Speaker 1: build the stories. That reminds me of Ivanka Trump saying

659
00:39:49,280 --> 00:39:52,440
Speaker 1: that she knew more about working people than AOC and

660
00:39:53,080 --> 00:39:56,520
Speaker 1: that she thought that that she knew that Americans want

661
00:39:56,560 --> 00:39:59,680
Speaker 1: to work for their money, right, And I was wild,

662
00:40:00,080 --> 00:40:02,239
Speaker 1: was like, that is the craziest thing I've ever fucking heard.

663
00:40:02,320 --> 00:40:05,160
Speaker 1: As if like, the problem is like I want to

664
00:40:05,239 --> 00:40:08,239
Speaker 1: work more like a woman, you know, a mother of

665
00:40:08,320 --> 00:40:11,520
Speaker 1: five who works at the Walmart cash register, Like, actually

666
00:40:11,560 --> 00:40:14,360
Speaker 1: her problem is that she hates tax cuts because she

667
00:40:14,640 --> 00:40:20,880
Speaker 1: loves working there. Well, Ivanka is I actually have a

668
00:40:20,920 --> 00:40:23,200
Speaker 1: bunch of Vanka quotes that I was gonna pull, but

669
00:40:23,280 --> 00:40:27,440
Speaker 1: it sounds like yeah, no, no, no, Actually Caroline is here. Well,

670
00:40:27,480 --> 00:40:30,160
Speaker 1: we'll actually do it after they leave. That's problem. I know.

671
00:40:30,440 --> 00:40:33,680
Speaker 1: She's one of my favorite American philosophers. Yeah, it's just incredible.

672
00:40:34,280 --> 00:40:42,920
Speaker 1: Oh yeah, there's throw there's um Ivanka, there's a kushion Ere. Yeah. Well,

673
00:40:43,520 --> 00:40:46,759
Speaker 1: Carolina Devon. Truly a pleasure having both of you on

674
00:40:46,960 --> 00:40:49,480
Speaker 1: the daily. Like I said, know, you have to bounce

675
00:40:49,520 --> 00:40:52,600
Speaker 1: a little bit early. Where can people find you? Follow you?

676
00:40:52,840 --> 00:40:55,480
Speaker 1: All that good stuff? Again, we want to blame our

677
00:40:55,480 --> 00:40:58,680
Speaker 1: early absence on the comedian Will Farell. That's right, we

678
00:40:58,719 --> 00:41:03,120
Speaker 1: didn't blame it. We didn't blame him up top monster, cruel,

679
00:41:03,680 --> 00:41:06,840
Speaker 1: cruel person, a cruel person, just kidding. He's a truly

680
00:41:06,920 --> 00:41:10,160
Speaker 1: an angel on earth. Yeah, unbelievable. He wore a T

681
00:41:10,280 --> 00:41:12,719
Speaker 1: shirt during the pandemic that said pay teachers more because

682
00:41:12,800 --> 00:41:14,879
Speaker 1: he was getting popped all the time outside of his house.

683
00:41:15,520 --> 00:41:19,360
Speaker 1: And you can please listen to us on True Romance.

684
00:41:19,920 --> 00:41:23,120
Speaker 1: That is on Apple Podcasts or wherever you get your

685
00:41:23,160 --> 00:41:27,000
Speaker 1: podcast and I Heart Radio. It's production produced by I

686
00:41:27,200 --> 00:41:32,319
Speaker 1: Heart Big Money Players, Will Ferrell's podcast network and Funny Story.

687
00:41:32,440 --> 00:41:34,040
Speaker 1: One of the first people we pitched it too was

688
00:41:34,120 --> 00:41:37,920
Speaker 1: Jack O'Brien, your co host, who kicked us out of

689
00:41:37,960 --> 00:41:39,919
Speaker 1: the room and he said, that's disgusting. No one's gonna

690
00:41:39,920 --> 00:41:43,640
Speaker 1: want to hear about your failures and romance. So who's

691
00:41:43,640 --> 00:41:45,600
Speaker 1: it going to be hosted by? Though, that's what I understand.

692
00:41:45,680 --> 00:41:47,839
Speaker 1: Whether who are the two fellas you're going to bring

693
00:41:47,920 --> 00:41:51,680
Speaker 1: into you know, I remember that too, when you're my

694
00:41:51,880 --> 00:41:54,800
Speaker 1: life is actually stranger than if I even wrote it

695
00:41:55,000 --> 00:41:58,200
Speaker 1: as fiction. And that, Yeah, that was enough. I think

696
00:41:59,400 --> 00:42:03,359
Speaker 1: the cast still were Yeah, we do have so let

697
00:42:03,440 --> 00:42:06,839
Speaker 1: me just please step in for a second. Caroline at

698
00:42:06,880 --> 00:42:10,360
Speaker 1: my Green Square. Also you can follow us on Instagram

699
00:42:11,000 --> 00:42:13,600
Speaker 1: at True Romance Pod on Twitter at True Romance Pod.

700
00:42:13,680 --> 00:42:15,719
Speaker 1: Also I have a new Instagram because I had to

701
00:42:15,760 --> 00:42:17,360
Speaker 1: go through a breakup and then I had to delete

702
00:42:17,400 --> 00:42:21,040
Speaker 1: my whole instagrams tratic and so please follow me on

703
00:42:21,680 --> 00:42:26,440
Speaker 1: at Devin Underscore Hunter Underscore Leary. It's the same thing

704
00:42:26,480 --> 00:42:30,040
Speaker 1: as before, but with underscores and that'd be great. Thanks.

705
00:42:30,320 --> 00:42:34,319
Speaker 1: And I'm at Carolina Rose Barlow on Instagram. We are

706
00:42:34,960 --> 00:42:38,640
Speaker 1: so happy that we got to jump on with you

707
00:42:38,760 --> 00:42:42,560
Speaker 1: guys on We're huge fans of t DZ and um

708
00:42:43,280 --> 00:42:48,719
Speaker 1: A cab. There you go, there you go. All right,

709
00:42:49,239 --> 00:42:51,520
Speaker 1: let's take a quick break, we'll be right back, just

710
00:42:51,760 --> 00:43:07,200
Speaker 1: Miles and I just the just the dudes, and we're back.

711
00:43:07,640 --> 00:43:11,000
Speaker 1: People are gonna think that, like guests fucking are stopped

712
00:43:11,040 --> 00:43:13,560
Speaker 1: fucking with the show part way through. This might be

713
00:43:13,640 --> 00:43:15,359
Speaker 1: our new format. This is two days in a row

714
00:43:15,480 --> 00:43:18,120
Speaker 1: where our guests have had a heart out and we

715
00:43:18,600 --> 00:43:22,400
Speaker 1: are are doing acts three just the boys, or it

716
00:43:22,480 --> 00:43:25,160
Speaker 1: feels kind of like the boys are back in town.

717
00:43:26,600 --> 00:43:29,440
Speaker 1: You energize. It feels like or like podcasts that do

718
00:43:29,560 --> 00:43:32,120
Speaker 1: like an interview package and then like they have rats

719
00:43:32,160 --> 00:43:33,680
Speaker 1: on either side they come back like that was a

720
00:43:33,719 --> 00:43:36,920
Speaker 1: great interview. Huh. That was interesting. And one thing that

721
00:43:37,000 --> 00:43:39,080
Speaker 1: Caroline said to me that I thought was so interesting

722
00:43:39,200 --> 00:43:42,240
Speaker 1: before we started recording, that's like the NPR like format

723
00:43:42,400 --> 00:43:45,319
Speaker 1: of how they I thought it was fascinating that their

724
00:43:45,400 --> 00:43:48,960
Speaker 1: dynamic felt that they were actually in conflict, but that

725
00:43:49,120 --> 00:43:51,279
Speaker 1: was it was just malful banter the whole time. I

726
00:43:51,320 --> 00:43:54,439
Speaker 1: think that the rest is just us analyzing the part

727
00:43:54,560 --> 00:43:58,400
Speaker 1: that just happened is so in the are that that

728
00:43:58,600 --> 00:44:01,360
Speaker 1: is a great show though, Like it's like listening to

729
00:44:01,440 --> 00:44:04,000
Speaker 1: them talk about their dating lives is like yegher than

730
00:44:04,160 --> 00:44:06,439
Speaker 1: any round comma I've seen in a number of years.

731
00:44:06,480 --> 00:44:09,600
Speaker 1: It's hard to compare to it has ah this very

732
00:44:09,680 --> 00:44:12,360
Speaker 1: unique quality to it. We're like, they're not lying, and

733
00:44:12,960 --> 00:44:17,000
Speaker 1: it's like Jesus and Marrow almost was like, this is

734
00:44:17,040 --> 00:44:20,200
Speaker 1: not bullshit, and I love hearing it. It's um It's

735
00:44:20,239 --> 00:44:24,080
Speaker 1: one of my favorite podcasts. Even though it's on our network.

736
00:44:24,160 --> 00:44:27,280
Speaker 1: It feels like I'm lying, even it was really good. Alright,

737
00:44:27,560 --> 00:44:31,520
Speaker 1: let's talk about where where Maga is at? Where is

738
00:44:31,719 --> 00:44:34,960
Speaker 1: the Maga freakouts continue? They will continue. There's a lot

739
00:44:35,040 --> 00:44:37,400
Speaker 1: of Look, the latest thing was Donald Trump got a

740
00:44:37,440 --> 00:44:39,640
Speaker 1: new lawyer who used to be like the like the

741
00:44:39,760 --> 00:44:42,359
Speaker 1: former solicitor of General in the state of Florida if

742
00:44:42,400 --> 00:44:44,960
Speaker 1: you followed anything, He filed this motion to have a

743
00:44:45,200 --> 00:44:49,319
Speaker 1: like a special the funk is it a special hold

744
00:44:49,360 --> 00:44:53,640
Speaker 1: on motion? A special master. That's why I forgot it,

745
00:44:53,680 --> 00:44:56,320
Speaker 1: because funk that word. He was looking for a special

746
00:44:56,440 --> 00:45:01,920
Speaker 1: master to oversee the Mara logo documents search review, basically

747
00:45:01,960 --> 00:45:04,440
Speaker 1: trying to like sort things out that might be privileged

748
00:45:04,480 --> 00:45:07,560
Speaker 1: information that isn't relevant. They filed this like over two

749
00:45:07,640 --> 00:45:09,480
Speaker 1: weeks after the raid ha happened. The deal She's like,

750
00:45:09,560 --> 00:45:14,320
Speaker 1: We've already been through everything, so go ahead, and so

751
00:45:14,440 --> 00:45:20,200
Speaker 1: they're like like nothing, here, We're fucking two weeks behind

752
00:45:20,280 --> 00:45:22,719
Speaker 1: on sucking everything. And then on top of it, the

753
00:45:22,840 --> 00:45:26,160
Speaker 1: RNC is still like, we are not paying your fucking

754
00:45:26,400 --> 00:45:30,200
Speaker 1: legal bills. That's on you. This has been the situation

755
00:45:30,280 --> 00:45:35,080
Speaker 1: for yeah, yeah, yeah, yeah, we can't fucking you're not

756
00:45:35,120 --> 00:45:38,040
Speaker 1: gonna bleed us dry with your fucking money. Also, they're

757
00:45:38,040 --> 00:45:40,239
Speaker 1: also kind of concerned Trump might just suck off with

758
00:45:40,320 --> 00:45:43,000
Speaker 1: all the money he's raised, like the Republicans, and then

759
00:45:43,000 --> 00:45:45,600
Speaker 1: they'll be like that was for the fucking elections. He's like,

760
00:45:45,840 --> 00:45:49,240
Speaker 1: I don't give a fuck. So look, things are chaotic

761
00:45:49,320 --> 00:45:51,239
Speaker 1: as usual. But first up, I just want to check

762
00:45:51,280 --> 00:45:53,320
Speaker 1: in with some of the people in his orbit. The

763
00:45:53,400 --> 00:45:56,520
Speaker 1: first is Bianca Garcia. Maybe you've heard of her, maybe

764
00:45:56,560 --> 00:45:59,240
Speaker 1: you've seen her before. She is the head of Latinos

765
00:45:59,320 --> 00:46:05,160
Speaker 1: for Trump. She is fucking pissed no longer for Trump, dude.

766
00:46:05,680 --> 00:46:09,839
Speaker 1: She's like this guy turned his back on christ Um

767
00:46:10,520 --> 00:46:12,440
Speaker 1: and she's coming at it as like a whole thing

768
00:46:12,480 --> 00:46:14,600
Speaker 1: of like look at the chaos season, more of like

769
00:46:14,680 --> 00:46:16,239
Speaker 1: trying to be like you see what happens when you

770
00:46:16,320 --> 00:46:19,120
Speaker 1: funk with God kind of thing of like he stopped

771
00:46:19,160 --> 00:46:21,840
Speaker 1: talking to us, He stopped trying to like I've stopped

772
00:46:21,840 --> 00:46:25,719
Speaker 1: seeing evangelicals go visit him, so that's probably what's going on.

773
00:46:25,760 --> 00:46:27,239
Speaker 1: So I just want to just want to play her

774
00:46:27,320 --> 00:46:30,040
Speaker 1: clip because she's now basically saying like, it's a mess

775
00:46:30,120 --> 00:46:32,319
Speaker 1: over there and it's a rap for me, And we're

776
00:46:32,360 --> 00:46:36,840
Speaker 1: going to a clip where she's being interviewed by Don Johnson.

777
00:46:37,200 --> 00:46:39,680
Speaker 1: This is her basically being like, man, what Trump needs

778
00:46:39,719 --> 00:46:41,759
Speaker 1: to do is get God back in his life. So,

779
00:46:42,200 --> 00:46:44,880
Speaker 1: because that's the X factor for all of this maga stuff,

780
00:46:44,960 --> 00:46:48,000
Speaker 1: the g was for God. Obviously I'm doing something wrong.

781
00:46:48,040 --> 00:46:50,640
Speaker 1: I need my spiritual leaders back in here. Spiritual leaders

782
00:46:50,680 --> 00:46:52,520
Speaker 1: need to come back in here. We need to figure

783
00:46:52,560 --> 00:46:54,279
Speaker 1: this out. We need to pray, We need strategy. I

784
00:46:54,320 --> 00:46:55,759
Speaker 1: don't know what else to do. You need to go

785
00:46:55,840 --> 00:46:57,520
Speaker 1: in your prayer closet, because let me tell you something,

786
00:46:57,520 --> 00:46:59,000
Speaker 1: you don't want to put me in French Trump. The

787
00:46:59,040 --> 00:47:00,880
Speaker 1: first thing I'd say to him is, sir, first of all,

788
00:47:00,880 --> 00:47:02,160
Speaker 1: you I ain't even gonna talk to you because you

789
00:47:02,200 --> 00:47:03,359
Speaker 1: need go on to pray. Close you and you find

790
00:47:03,360 --> 00:47:05,200
Speaker 1: a close you better go get underneath and you better

791
00:47:05,440 --> 00:47:09,200
Speaker 1: pray and repent for whatever it is, because you've offended

792
00:47:09,239 --> 00:47:11,960
Speaker 1: the Lord you were chosen to lead this country, and

793
00:47:12,080 --> 00:47:14,719
Speaker 1: you've offended him in some big way and that's why

794
00:47:14,760 --> 00:47:17,480
Speaker 1: you're not in the White House right now. Okay, it

795
00:47:17,600 --> 00:47:20,120
Speaker 1: is interesting. She does seem to be like there's a

796
00:47:20,160 --> 00:47:22,759
Speaker 1: guy on like it's a split screen with her and

797
00:47:23,040 --> 00:47:26,480
Speaker 1: somebody interviewing her, and he appears to be a fantasy

798
00:47:26,520 --> 00:47:31,280
Speaker 1: football expert, but she just doesn't. He just not couldn't

799
00:47:31,360 --> 00:47:34,120
Speaker 1: look less like he belongs in this thing, like a

800
00:47:34,160 --> 00:47:36,640
Speaker 1: fantasy football expert on his way out to the club

801
00:47:36,840 --> 00:47:38,520
Speaker 1: for the night. Wait, what makes him? I mean, I

802
00:47:38,680 --> 00:47:40,719
Speaker 1: just like that as a slur in general, just to

803
00:47:40,760 --> 00:47:43,480
Speaker 1: be like fantasy football expert. I don't know. But he

804
00:47:43,800 --> 00:47:48,480
Speaker 1: got a pin striped pin striped jacket, like down hair

805
00:47:48,800 --> 00:47:52,439
Speaker 1: makes me think fantasy football, and his like unshaven nous. Yeah,

806
00:47:52,600 --> 00:47:55,719
Speaker 1: pushed back hair, not back quite, but definitely pushed back.

807
00:47:56,280 --> 00:47:59,480
Speaker 1: But but you know, she's she's been sort of I think,

808
00:48:00,000 --> 00:48:02,960
Speaker 1: really trying to connect this thing of like he's he's

809
00:48:03,000 --> 00:48:06,279
Speaker 1: turned his back on evangelicals, Like we're feeling some type

810
00:48:06,320 --> 00:48:09,840
Speaker 1: of way this this is why he's he's not in office.

811
00:48:09,880 --> 00:48:11,640
Speaker 1: So this is like the kind of stuff that's there's

812
00:48:11,640 --> 00:48:14,000
Speaker 1: like a lot of debate as to why is Trump

813
00:48:14,239 --> 00:48:17,319
Speaker 1: experiencing this negative streak right now. I think it's kind

814
00:48:17,320 --> 00:48:20,080
Speaker 1: of what people wrapping their heads around. Then there's Trump himself.

815
00:48:20,400 --> 00:48:23,480
Speaker 1: He's having a fucking real normal one on payless Twitter

816
00:48:23,800 --> 00:48:26,280
Speaker 1: ak a truth social On Tuesday morning, he was shipp

817
00:48:26,280 --> 00:48:30,200
Speaker 1: post ship posted like sixty times of all kinds of stuff.

818
00:48:30,520 --> 00:48:34,640
Speaker 1: We're talking Q and on drops the fucking election theft memes,

819
00:48:34,719 --> 00:48:38,880
Speaker 1: fucking four memes where like, ironically it's like, bro, in

820
00:48:39,000 --> 00:48:42,239
Speaker 1: this meme, you are the fascist overlord based on like

821
00:48:42,400 --> 00:48:44,760
Speaker 1: this George orwell quote. I don't know if you're connecting,

822
00:48:45,200 --> 00:48:47,520
Speaker 1: but I guess you're listener or followers don't know about

823
00:48:47,560 --> 00:48:51,439
Speaker 1: that either. Then even throwing out theories about January six

824
00:48:51,560 --> 00:48:55,000
Speaker 1: that it was Antifa and the FBI who stormed the Capitol.

825
00:48:55,560 --> 00:48:58,480
Speaker 1: So it's like the pace of it, the stuff that

826
00:48:58,560 --> 00:49:00,480
Speaker 1: he was like real truth thing wherever the is called,

827
00:49:00,760 --> 00:49:03,200
Speaker 1: it was just all copium. Like it was the kind

828
00:49:03,200 --> 00:49:05,360
Speaker 1: of ship that he's like, yeah, see this person is

829
00:49:05,400 --> 00:49:08,800
Speaker 1: saying this whacked out ship that that also helps me

830
00:49:09,000 --> 00:49:10,840
Speaker 1: feel like I am not in the wrong. And the

831
00:49:11,320 --> 00:49:13,920
Speaker 1: sort of pace it which he was doing it, it

832
00:49:14,080 --> 00:49:18,759
Speaker 1: honestly felt like he really believed that if he reposts

833
00:49:18,800 --> 00:49:21,400
Speaker 1: this bullshit enough, it will somehow get him out of trouble,

834
00:49:22,360 --> 00:49:24,560
Speaker 1: like by amplifying like being like you see this person

835
00:49:24,680 --> 00:49:30,080
Speaker 1: even thinks it's Orwellian incorrectly. I mean this, so like

836
00:49:30,280 --> 00:49:32,840
Speaker 1: he he only really seems to be comfortable when he

837
00:49:33,040 --> 00:49:36,879
Speaker 1: is in conflict. This is as much conflict as he's

838
00:49:36,880 --> 00:49:40,800
Speaker 1: ever been in. And it feels like because like not

839
00:49:40,960 --> 00:49:43,680
Speaker 1: to I don't give a final psycho analyze them like

840
00:49:43,800 --> 00:49:50,560
Speaker 1: that's that's fine, He's analyze yeahs. Yeah, and he's pretty easy,

841
00:49:50,719 --> 00:49:54,640
Speaker 1: Like he is a pathological narcissist who has always like

842
00:49:54,800 --> 00:49:59,799
Speaker 1: felt inadequate, won't let that inadequacy rise to the level

843
00:49:59,880 --> 00:50:03,440
Speaker 1: of conscious thought, and so he is just desperately filling

844
00:50:03,719 --> 00:50:07,279
Speaker 1: that sucking hole where you know, self esteem usually goes

845
00:50:07,320 --> 00:50:11,640
Speaker 1: for other people with accomplishments and conflict and words. And

846
00:50:12,360 --> 00:50:15,399
Speaker 1: this just feels like, I don't know, it's what he's

847
00:50:15,400 --> 00:50:18,839
Speaker 1: always been, like, this is how he's always lived his life,

848
00:50:19,000 --> 00:50:22,200
Speaker 1: is just constantly arguing with people that he's the ship,

849
00:50:22,840 --> 00:50:27,520
Speaker 1: even though he you know, is outwardly and evidently a

850
00:50:27,760 --> 00:50:30,480
Speaker 1: con artist. And so it's like this is not going

851
00:50:30,520 --> 00:50:34,680
Speaker 1: to stop until he's gone so like the like the

852
00:50:34,760 --> 00:50:38,080
Speaker 1: worst it gets, the more in his element, he's going

853
00:50:38,160 --> 00:50:40,359
Speaker 1: to be. Yeah, and I think, but this is why

854
00:50:40,480 --> 00:50:43,000
Speaker 1: it's it's just started getting out of control though now

855
00:50:43,160 --> 00:50:47,520
Speaker 1: because the Republican like Fox News wasn't they didn't say

856
00:50:47,640 --> 00:50:49,840
Speaker 1: shit about his claim. It's like that they really need

857
00:50:50,160 --> 00:50:53,320
Speaker 1: to redo the election and proclaim him God King, like

858
00:50:53,560 --> 00:50:56,120
Speaker 1: they didn't even touch that ship because they're like this,

859
00:50:56,840 --> 00:51:00,080
Speaker 1: like it's bad. Ben Shapiro was even like they to

860
00:51:00,120 --> 00:51:02,520
Speaker 1: get rid of him. The RNC cannot do this with Trump,

861
00:51:02,600 --> 00:51:05,800
Speaker 1: like the Democrats want him on the ballot, and and

862
00:51:05,920 --> 00:51:08,640
Speaker 1: and Independence are splitting four Democrats at a four to

863
00:51:08,719 --> 00:51:10,880
Speaker 1: one rate. Because Trump is on the ballot, they have

864
00:51:11,040 --> 00:51:12,960
Speaker 1: to get rid of him. He's even being like logical

865
00:51:13,000 --> 00:51:15,680
Speaker 1: about it now, which is like you can't even like

866
00:51:15,800 --> 00:51:19,239
Speaker 1: the elector the electoral politics, like it doesn't work. But

867
00:51:19,520 --> 00:51:21,839
Speaker 1: I'm sure he'll he'll come right back because I'm sure

868
00:51:21,840 --> 00:51:24,759
Speaker 1: a plurality of magga people will be screaming at him.

869
00:51:24,800 --> 00:51:27,880
Speaker 1: But just to go on along with all that Trump

870
00:51:28,040 --> 00:51:31,320
Speaker 1: was calling for, like these uprisings to continue, like I

871
00:51:31,360 --> 00:51:33,400
Speaker 1: don't we kind of touched on it on the Trending episode,

872
00:51:33,400 --> 00:51:36,040
Speaker 1: but he's telling the FBI to fucking rise up now

873
00:51:36,920 --> 00:51:39,760
Speaker 1: against the Department of Justice. He said on truth Social

874
00:51:39,840 --> 00:51:42,000
Speaker 1: quote one of the great agents and others in the

875
00:51:42,080 --> 00:51:44,440
Speaker 1: FBI going to say, we aren't gonna take it anymore

876
00:51:44,880 --> 00:51:47,480
Speaker 1: as much as they did. When James Comey read off

877
00:51:47,560 --> 00:51:50,520
Speaker 1: a list of all cricket Hillary Clinton's crimes only to

878
00:51:50,560 --> 00:51:54,400
Speaker 1: say that no reasonable prosecute, no reasonable prosecutor would prosecute,

879
00:51:54,600 --> 00:51:57,520
Speaker 1: the wonderful people of the FBI went absolutely nuts. So

880
00:51:57,640 --> 00:52:00,239
Speaker 1: Comey had to backtrack and do a fake investor gage

881
00:52:00,239 --> 00:52:01,839
Speaker 1: in order to keep them at bay. So I don't

882
00:52:01,920 --> 00:52:08,399
Speaker 1: remember this really there to lead up to the investigation. Yeah, yeah,

883
00:52:08,640 --> 00:52:11,080
Speaker 1: was like Comy first was like, man, there's nothing to

884
00:52:11,120 --> 00:52:14,000
Speaker 1: see here. Then there was like the Anthony Weener laptop thing.

885
00:52:14,160 --> 00:52:17,480
Speaker 1: Eleven days before the election, he said they reopened the investor.

886
00:52:17,520 --> 00:52:20,399
Speaker 1: That was the time they reopened the investigation. I don't

887
00:52:20,440 --> 00:52:23,600
Speaker 1: remember the narrative that it was actually FBI rank and

888
00:52:23,760 --> 00:52:27,040
Speaker 1: file who like caused that was that this is just

889
00:52:27,239 --> 00:52:29,640
Speaker 1: maybe like what he's hearing, or is that like a

890
00:52:29,880 --> 00:52:32,200
Speaker 1: story that's been told anything. It was more like there

891
00:52:32,239 --> 00:52:33,960
Speaker 1: were there was more to say that, like people who

892
00:52:34,040 --> 00:52:37,640
Speaker 1: were sympathetic to Rudy Giuliani were pushing for the reopening

893
00:52:37,680 --> 00:52:41,080
Speaker 1: of the investigation to make it seem like there was

894
00:52:41,200 --> 00:52:43,800
Speaker 1: something there. When ultimately Comy came back, it was like

895
00:52:44,680 --> 00:52:46,640
Speaker 1: after like, look, if there was a crime, we could

896
00:52:46,680 --> 00:52:48,279
Speaker 1: tell you what it was. But it was just it's

897
00:52:48,360 --> 00:52:54,319
Speaker 1: just more of like sloppiness versus like wilfully taking sensitive

898
00:52:54,440 --> 00:52:56,479
Speaker 1: documents away. It's like she shouldn't have had a fucking

899
00:52:56,520 --> 00:52:59,640
Speaker 1: email server, etcetera, etcetera. Like we're having trouble finding a

900
00:52:59,760 --> 00:53:01,759
Speaker 1: cry I'm that aligns with that. Were like, yeah, we

901
00:53:01,800 --> 00:53:04,400
Speaker 1: need to enforce this, which is sort of why that

902
00:53:04,560 --> 00:53:07,480
Speaker 1: fizzled out, And I think that's why now incorrectly, a

903
00:53:07,560 --> 00:53:10,560
Speaker 1: lot of Republicans are saying, well, this was a thing

904
00:53:10,600 --> 00:53:14,360
Speaker 1: about mishandling documents and she wasn't prosecuted, so therefore the

905
00:53:14,440 --> 00:53:18,800
Speaker 1: precedent is that you don't prosecute these like mishandled documents cases.

906
00:53:19,040 --> 00:53:20,880
Speaker 1: But they're not even comparable when you look at the

907
00:53:20,920 --> 00:53:24,480
Speaker 1: statutes that are involved. So whatever that's that's just sort

908
00:53:24,480 --> 00:53:27,160
Speaker 1: of like because also when you ask them, plenty of

909
00:53:27,239 --> 00:53:30,480
Speaker 1: people will, you know, hypothesize what Trump may be doing

910
00:53:30,600 --> 00:53:33,399
Speaker 1: with these documents, right, I've heard it we're like, we've

911
00:53:33,480 --> 00:53:35,520
Speaker 1: remember there was in twenty seventeen a c I A

912
00:53:35,600 --> 00:53:39,400
Speaker 1: asset had to be like fucking extracted very quickly because

913
00:53:39,640 --> 00:53:42,719
Speaker 1: the Kremlin was like looking for them. The numbers are

914
00:53:42,800 --> 00:53:47,200
Speaker 1: way up on CIA assets like getting got yeah exactly,

915
00:53:47,480 --> 00:53:50,800
Speaker 1: So there's that they're like he could it could be this,

916
00:53:51,040 --> 00:53:53,680
Speaker 1: it could be nuclear stuff. With Hillary, all they kept

917
00:53:53,719 --> 00:53:57,400
Speaker 1: saying was she has these emails, like they nobody has

918
00:53:57,560 --> 00:54:00,759
Speaker 1: a specific go a step further, what's the can cry like,

919
00:54:00,880 --> 00:54:02,640
Speaker 1: what is it? And I think that's another thing that

920
00:54:02,719 --> 00:54:05,040
Speaker 1: sort of shows the sort of difference in it is

921
00:54:05,120 --> 00:54:08,200
Speaker 1: that they can only take their argument as close to well,

922
00:54:08,280 --> 00:54:11,960
Speaker 1: she had these emails and and again I'm not trying

923
00:54:11,960 --> 00:54:13,600
Speaker 1: to say like I'm sighting with anyone, but I'm like

924
00:54:13,640 --> 00:54:16,680
Speaker 1: they're just on as an argument. This doesn't look right.

925
00:54:17,080 --> 00:54:19,640
Speaker 1: So and if it wasn't getting worse for Trump, he's

926
00:54:19,640 --> 00:54:22,880
Speaker 1: also telling people that he might sue Rhonda Santis for

927
00:54:23,000 --> 00:54:26,280
Speaker 1: like fucking ripping off his whole style, which is true.

928
00:54:26,760 --> 00:54:31,520
Speaker 1: Rhonda Santis. It's interesting, like it it's you're watching how

929
00:54:31,760 --> 00:54:39,040
Speaker 1: like one influential person can like influence unspoken like just

930
00:54:39,280 --> 00:54:42,040
Speaker 1: weird things that like everybody is now doing a Trump

931
00:54:42,080 --> 00:54:45,440
Speaker 1: impression in very in small little ways like that make

932
00:54:45,520 --> 00:54:48,560
Speaker 1: them feel powerful. Like we saw we saw Ted Cruise

933
00:54:48,600 --> 00:54:52,120
Speaker 1: trying to bite his like devil make hair, like I

934
00:54:52,120 --> 00:54:55,000
Speaker 1: don't give a fuck attitude, where he was like, well,

935
00:54:55,560 --> 00:54:58,880
Speaker 1: I'm Ted Cruise, and my pronouns or kiss my ass

936
00:54:59,480 --> 00:55:03,080
Speaker 1: and the like. He had his like body language ready

937
00:55:03,120 --> 00:55:05,480
Speaker 1: to go, and it just felt like it was just

938
00:55:05,600 --> 00:55:08,239
Speaker 1: like yo, I thought he's about to be let's go

939
00:55:10,080 --> 00:55:14,399
Speaker 1: right after that punchline, let's go. But yeah, he's From

940
00:55:14,480 --> 00:55:17,359
Speaker 1: this ling Stone article quote when Trump has seen video

941
00:55:17,440 --> 00:55:19,560
Speaker 1: clips of de Santis speaking of public events over the

942
00:55:19,600 --> 00:55:21,879
Speaker 1: past year and a half, the former president has scornfully

943
00:55:21,960 --> 00:55:25,600
Speaker 1: mocked the ascendant Florida Republican for appearing to imitate Trump's

944
00:55:25,640 --> 00:55:28,799
Speaker 1: body language movements and even at times speaking rhythm. One

945
00:55:28,840 --> 00:55:30,840
Speaker 1: of the other sources recalled Trump joking at a dinner

946
00:55:31,440 --> 00:55:34,120
Speaker 1: that he had to sue him for copyright infringement. Okay,

947
00:55:34,360 --> 00:55:36,960
Speaker 1: I used to think that DeSantis was a real threat

948
00:55:37,040 --> 00:55:40,360
Speaker 1: to Trump. I do not think that anymore. I actually

949
00:55:40,480 --> 00:55:43,440
Speaker 1: think that if Trump runs, which the only thing is

950
00:55:43,440 --> 00:55:46,719
Speaker 1: going to stop him is death, He's going to kick DeSantis.

951
00:55:47,400 --> 00:55:49,840
Speaker 1: The only threat that he poses that he's probably not

952
00:55:50,239 --> 00:55:54,160
Speaker 1: bound for any kind of legal trouble, and that by

953
00:55:54,320 --> 00:55:56,840
Speaker 1: virtue of that may just leave him at top of

954
00:55:56,880 --> 00:56:00,520
Speaker 1: the pile. Yeah, last man standing because his numbers were

955
00:56:00,520 --> 00:56:02,880
Speaker 1: going up. But the second the Mara Lago thing happened,

956
00:56:03,280 --> 00:56:05,439
Speaker 1: everybody fell right back. They're like, yeah, actually, I'm sucking

957
00:56:05,440 --> 00:56:07,520
Speaker 1: with Trump again. I'm with Trump again. Forgot about that.

958
00:56:07,560 --> 00:56:11,320
Speaker 1: We're victims, were victims. Forgot about that. God. So I

959
00:56:11,400 --> 00:56:14,719
Speaker 1: know it sounds like everything like hooray, everything's going well,

960
00:56:14,880 --> 00:56:18,319
Speaker 1: but it isn't because news Max is doing their best

961
00:56:18,800 --> 00:56:23,719
Speaker 1: to keep the fucking voter base motivated, because that's been

962
00:56:23,719 --> 00:56:26,480
Speaker 1: another huge thing is like we're we're gonna get fucking

963
00:56:26,600 --> 00:56:29,000
Speaker 1: rinched in the mid terms, is what Republicans are saying

964
00:56:29,040 --> 00:56:33,239
Speaker 1: to each other on fucking news Max. The anchor there

965
00:56:33,480 --> 00:56:37,399
Speaker 1: created like a mnemonic device to try and like keep

966
00:56:37,560 --> 00:56:40,680
Speaker 1: viewers engaged and to like actually ignore all the Mara

967
00:56:40,840 --> 00:56:43,880
Speaker 1: Lago stuff, like trying to find a way to reconnect

968
00:56:44,480 --> 00:56:47,080
Speaker 1: News Max viewers and the Republican base like with their

969
00:56:47,120 --> 00:56:49,960
Speaker 1: outrage to motivate them to vote. And I just want

970
00:56:50,000 --> 00:56:53,800
Speaker 1: to play this because it's like fascist sesame Street and

971
00:56:54,080 --> 00:56:55,920
Speaker 1: I'm just gonna play this. This guy throws up a

972
00:56:56,000 --> 00:56:59,680
Speaker 1: whole phrase and it breaks down like as a fucking

973
00:57:00,000 --> 00:57:04,000
Speaker 1: on it device focus on, especially as the mid terms approach. Okay,

974
00:57:04,320 --> 00:57:08,680
Speaker 1: wag Joe kass Biden. Alright, let's start. WAG stands for

975
00:57:09,800 --> 00:57:14,320
Speaker 1: wag woke stuff, Afghanistan and gas prices. Okay, let's not

976
00:57:14,440 --> 00:57:18,280
Speaker 1: forget those things. We're not going to but remember these

977
00:57:18,480 --> 00:57:27,720
Speaker 1: are the issues, not moral lago. Next, not wag Joe

978
00:57:27,920 --> 00:57:32,480
Speaker 1: kaos Biden got that, folks, wag woke Afghanistan, gas talking

979
00:57:32,600 --> 00:57:36,720
Speaker 1: to like this seems like a speech for like Republican

980
00:57:36,840 --> 00:57:41,520
Speaker 1: interns or something. This is just like soldiers. This is

981
00:57:41,560 --> 00:57:44,280
Speaker 1: so revealing that this is the way in which they're

982
00:57:44,320 --> 00:57:46,280
Speaker 1: trying to do it too. Let's go Jack. We only

983
00:57:46,320 --> 00:57:49,960
Speaker 1: got to one part of Let's go to Joe. What

984
00:57:50,040 --> 00:57:54,680
Speaker 1: does that stand for? Uh? Justice Department oppresses enemies. Thanks,

985
00:57:55,520 --> 00:58:00,120
Speaker 1: long before moral Lago, people like Paul Manaford, the tow

986
00:58:00,240 --> 00:58:04,120
Speaker 1: people who just got busted for I guess reading Ashley

987
00:58:04,200 --> 00:58:12,120
Speaker 1: Biden's diary, are you serious? Moment is doing so? Uh

988
00:58:12,360 --> 00:58:15,280
Speaker 1: Justice suppress his enemies? Next chaos? What does the chaos

989
00:58:15,360 --> 00:58:20,080
Speaker 1: stand for? Let's try crime hunter, Yeah, hunter, Shenatigans, the

990
00:58:20,120 --> 00:58:24,560
Speaker 1: approval rating. Yeah, it's terrible obscenity and the supply chain

991
00:58:24,640 --> 00:58:28,320
Speaker 1: we know about. What is obscenity. Obscenity for me is

992
00:58:28,680 --> 00:58:34,320
Speaker 1: thrusting upon children, talk about gender, transgender, all this hyper

993
00:58:34,400 --> 00:58:38,959
Speaker 1: sexualization of children that should not be happening. And Joe

994
00:58:39,280 --> 00:58:42,320
Speaker 1: in large part is responsible. He's doing nothing to push back.

995
00:58:42,720 --> 00:58:46,000
Speaker 1: Who knows, maybe he Let's get to Biden, because we've

996
00:58:46,000 --> 00:58:52,320
Speaker 1: got chaos. Is Biden borders, we have non inflation, of course, disunity.

997
00:58:53,120 --> 00:58:56,120
Speaker 1: Our energy is gone, and no one respects us around

998
00:58:56,360 --> 00:59:01,760
Speaker 1: the world. Everybody has like the So this is like

999
00:59:01,880 --> 00:59:05,680
Speaker 1: a type of like for for whatever reason, and like,

1000
00:59:05,840 --> 00:59:08,520
Speaker 1: I've struggled with mental illness, and I've been around a

1001
00:59:08,600 --> 00:59:10,440
Speaker 1: lot of people who struggle with mental illness, and like,

1002
00:59:10,520 --> 00:59:13,720
Speaker 1: this is a thing that people who are struggling love

1003
00:59:13,880 --> 00:59:16,960
Speaker 1: to do, is the acronyms and be like energy good,

1004
00:59:17,040 --> 00:59:22,360
Speaker 1: orderly energy direction and just like and like it doesn't

1005
00:59:22,400 --> 00:59:25,880
Speaker 1: totally make sense. And sometimes they will claim that that's

1006
00:59:25,880 --> 00:59:31,760
Speaker 1: actually where the word comes from, but it's yeah, it's

1007
00:59:31,880 --> 00:59:36,680
Speaker 1: so desperate that you've now in whatever news room said

1008
00:59:37,760 --> 00:59:41,280
Speaker 1: clearly right, if you do this, you can reverse engineer

1009
00:59:41,360 --> 00:59:43,880
Speaker 1: the discussion that has happened because his whole the thrust

1010
00:59:43,960 --> 00:59:47,000
Speaker 1: of this was we have to connect the fucking base

1011
00:59:47,600 --> 00:59:50,520
Speaker 1: to why they don't like Joe Biden, because there are

1012
00:59:50,520 --> 00:59:53,320
Speaker 1: a lot of them are actually really worried about the

1013
00:59:53,400 --> 00:59:57,320
Speaker 1: student loan debt forgiveness, like that affects people that aren't

1014
00:59:57,400 --> 01:00:01,000
Speaker 1: just voting Democrat and they're talking points as they go

1015
01:00:01,080 --> 01:00:04,440
Speaker 1: on TV or being like these lazy fucking baristas with

1016
01:00:04,560 --> 01:00:07,880
Speaker 1: their basket weaving degrees and people like, hey, asshole, I'm

1017
01:00:07,920 --> 01:00:10,320
Speaker 1: not I'm I got a degree for whatever I'm not.

1018
01:00:10,360 --> 01:00:12,520
Speaker 1: I'm not. I don't fault like this is made up.

1019
01:00:12,800 --> 01:00:15,000
Speaker 1: I got a degree to better myself and now you're

1020
01:00:15,040 --> 01:00:18,800
Speaker 1: telling me I'm a degenerate. That isn't working well. So

1021
01:00:19,400 --> 01:00:21,760
Speaker 1: they they're like, we need something that is going to

1022
01:00:22,040 --> 01:00:26,560
Speaker 1: make them realize Biden bad. We don't like Byron So

1023
01:00:26,720 --> 01:00:33,760
Speaker 1: now it's fucking wag woke Afghanistan gas prices as like

1024
01:00:34,120 --> 01:00:39,800
Speaker 1: as much as MSNBC, like CNN like plays like that

1025
01:00:40,480 --> 01:00:45,040
Speaker 1: have been in the bag for the mainstream like Democratic Party,

1026
01:00:45,640 --> 01:00:51,400
Speaker 1: Like you can't possibly imagine them doing a infomercial like

1027
01:00:52,200 --> 01:00:55,920
Speaker 1: here are your talking points like training video like what

1028
01:00:56,400 --> 01:01:02,280
Speaker 1: that was? That's wild Jesus. Yeah, so they're having a

1029
01:01:02,360 --> 01:01:05,400
Speaker 1: normal one, and I think it's just like they're still

1030
01:01:05,720 --> 01:01:08,600
Speaker 1: figuring out what to do. Like everyone's pulling in many

1031
01:01:08,640 --> 01:01:12,040
Speaker 1: different directions. Some Republicans are silent, others are going pedal

1032
01:01:12,120 --> 01:01:15,200
Speaker 1: to the metal defending him Lindsey Graham Yeah, and others

1033
01:01:15,240 --> 01:01:19,919
Speaker 1: are merely just coming up with good acronyms. M alright, well,

1034
01:01:20,160 --> 01:01:24,520
Speaker 1: Miles as always such a pleasure working with you. Where

1035
01:01:24,600 --> 01:01:26,320
Speaker 1: can people find you? And what is the tweet you've

1036
01:01:26,360 --> 01:01:29,040
Speaker 1: been enjoying? Oh man, you can find me on Twitter

1037
01:01:29,080 --> 01:01:31,400
Speaker 1: and Instagram at Miles of Gray also checked me out

1038
01:01:31,480 --> 01:01:34,640
Speaker 1: on Miles and Jack got mad Boostie's yeah not just

1039
01:01:34,720 --> 01:01:38,320
Speaker 1: a clever name and also four twenty day fiance. Some

1040
01:01:38,520 --> 01:01:41,840
Speaker 1: tweets that I like. Oh man, there's some good ones.

1041
01:01:42,320 --> 01:01:46,680
Speaker 1: Uh first one, well, well, well this is from at

1042
01:01:47,440 --> 01:01:49,960
Speaker 1: Hex and Brenner to H three x E N B

1043
01:01:50,120 --> 01:01:52,680
Speaker 1: R E N N E R two treated well, well,

1044
01:01:53,000 --> 01:01:56,360
Speaker 1: well look who's come crawling back? If it isn't my

1045
01:01:56,560 --> 01:01:59,320
Speaker 1: one year old son I accidentally left at the park.

1046
01:02:00,080 --> 01:02:06,320
Speaker 1: Uh Brow at Brow tweeting tweeted, boss, you have to

1047
01:02:06,360 --> 01:02:09,840
Speaker 1: take a drug test. Me knows all the drugs, No problem,

1048
01:02:11,160 --> 01:02:15,600
Speaker 1: and then Brandon Dale at a weary tweeted me before

1049
01:02:15,680 --> 01:02:18,280
Speaker 1: having kids, I'm never going to lie to my children,

1050
01:02:18,440 --> 01:02:20,800
Speaker 1: me to day, to my toddler, they don't have hot

1051
01:02:20,880 --> 01:02:26,680
Speaker 1: dogs in Colorado. That really resonated with me. I've told

1052
01:02:27,280 --> 01:02:29,720
Speaker 1: many crazy lives. I mean, it's is that why the

1053
01:02:29,960 --> 01:02:32,760
Speaker 1: fucking Odin Kirk? I think you should leave ice cream?

1054
01:02:33,000 --> 01:02:35,880
Speaker 1: Got doubles of everything. Sketch resonates so hard because you

1055
01:02:35,960 --> 01:02:38,640
Speaker 1: tell you like a lie that seems harmless, but then

1056
01:02:38,760 --> 01:02:41,200
Speaker 1: like the guy just like doubles triples down, and like

1057
01:02:41,440 --> 01:02:44,080
Speaker 1: kids actually do that ship sometimes too, where they'll just

1058
01:02:44,200 --> 01:02:47,120
Speaker 1: like follow the logic train on your ask and you're

1059
01:02:47,160 --> 01:02:50,280
Speaker 1: just like, oh god, damn it. All right, never mind,

1060
01:02:51,200 --> 01:02:54,880
Speaker 1: Let's see some tweets I've been enjoying. Is Sarah Lebou

1061
01:02:54,920 --> 01:02:58,360
Speaker 1: tweeted medicine is such a beautiful name for a square garden.

1062
01:02:58,840 --> 01:03:03,520
Speaker 1: I just appreciated. And human Eron tweeted wire self checkouts

1063
01:03:03,600 --> 01:03:06,720
Speaker 1: ever closed in my own break and then I have

1064
01:03:06,840 --> 01:03:10,760
Speaker 1: the Colorado one. Yeah. Uh. You can find me on

1065
01:03:10,840 --> 01:03:13,200
Speaker 1: Twitter at Jack Underscore O'Brien. You can find us on

1066
01:03:13,280 --> 01:03:15,960
Speaker 1: Twitter at daily Zeitgeist. We're at d Daily Zeitgeist on

1067
01:03:16,080 --> 01:03:19,120
Speaker 1: Instagram We have Facebook fan page and a website Daily

1068
01:03:19,240 --> 01:03:21,760
Speaker 1: Zychgeist dot com, where we post our episodes on our

1069
01:03:21,840 --> 01:03:24,960
Speaker 1: foot note where we link off to the information that

1070
01:03:25,040 --> 01:03:27,600
Speaker 1: we talked about in today's episode, as well as a

1071
01:03:27,720 --> 01:03:30,560
Speaker 1: song that we think you might enjoy. Miles, what song

1072
01:03:30,640 --> 01:03:33,240
Speaker 1: do we think people might enjoy? Oh? I think you're

1073
01:03:33,240 --> 01:03:36,680
Speaker 1: gonna enjoy this track weight and I just lost it.

1074
01:03:36,800 --> 01:03:38,600
Speaker 1: Oh yes, okay, this is gonna be. We're gonna go

1075
01:03:38,640 --> 01:03:41,080
Speaker 1: out on more Pokemon. I love pot Kemon p A

1076
01:03:41,120 --> 01:03:44,720
Speaker 1: c h y M n uh. He's an artist who

1077
01:03:44,960 --> 01:03:48,480
Speaker 1: plays like really dope reggae tracks, but it sounds like

1078
01:03:48,720 --> 01:03:51,520
Speaker 1: they are like he's been rummaging through vinyl, but that's

1079
01:03:51,600 --> 01:03:54,080
Speaker 1: him recording everything to tape, playing all the instruments. It's

1080
01:03:54,120 --> 01:03:57,200
Speaker 1: really good. This is in another track called Towards the Mountain,

1081
01:03:58,000 --> 01:04:00,400
Speaker 1: which I just like the title of that because remind

1082
01:04:00,480 --> 01:04:02,320
Speaker 1: me at podcast, just keep the mountain in front of

1083
01:04:02,400 --> 01:04:04,600
Speaker 1: you and if you walk towards it, you'll get there eventually.

1084
01:04:05,480 --> 01:04:08,720
Speaker 1: Uh So, yeah, Pachima towards the Mountain alright. Well. The

1085
01:04:08,800 --> 01:04:10,920
Speaker 1: Daily Zake Gus the production of I Heart Radio from

1086
01:04:10,920 --> 01:04:12,800
Speaker 1: More Podcasts from my Art Radio is the I Heart

1087
01:04:12,880 --> 01:04:15,080
Speaker 1: Radio app Apple Podcast or wherever you listen to your

1088
01:04:15,080 --> 01:04:17,040
Speaker 1: favorite shows. That is going to do it for us

1089
01:04:17,120 --> 01:04:19,480
Speaker 1: this morning. But we're back this afternoon to tell you

1090
01:04:19,600 --> 01:04:21,360
Speaker 1: what is trending and we'll talk to you all then.

1091
01:04:21,560 --> 01:04:22,360
Speaker 1: Bye bye,