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

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Speaker 1: two of their Daily Night Guys, the podcast where we

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Speaker 1: take a deep dive into It's Tuesday, April two thousand

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Speaker 1: nineteen named Jack O'Brien's. Okay, Miles Gray and me tell

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Speaker 1: each other news stories and we spit out those fire

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Speaker 1: hot takes even though we're second rate at best. All right,

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Speaker 1: to the tune of Mr Jones, somebody said, and also

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Speaker 1: you probably needed to know. I think that was from

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Speaker 1: at t Z a K s. If it was not,

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Speaker 1: shout out to me and let me know what you

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Speaker 1: here one tomorrow. I'm sure the beatings always buy my

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Speaker 1: co host, Mr Miles Ray mouth up Gray brings out

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Speaker 1: of boys to the yard, and I'm like, is Jack

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Speaker 1: O'Brien damn right, is Jack O'Brien? I could teach you,

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Speaker 1: but I got my pod and there that was it.

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Speaker 1: Push out at as soltis Hannah Hannamaniac for that, Calise Milks.

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Speaker 1: The confidence in our ak is so I'm like to

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Speaker 1: the that was to the tune of Mr Jones you

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Speaker 1: ended with and that and that's it. Alright. Well, we're

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Speaker 1: thrilled to be joined in our third seat by a

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Speaker 1: first time guest, hilarious comedian Jenna Friedman. Hi, hello him

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Speaker 1: saying or something? I mean, if you have something do

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Speaker 1: you have like an a k that you usually have

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Speaker 1: no idea what you guys, just like a name that

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Speaker 1: you use when you're trying to get away with a

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Speaker 1: crime or something. Amy Shumer, Well, all right, we were

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Speaker 1: just talking about nine eleven before we hit record on this.

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Speaker 1: That's a favorite topic of yours. It's not a favorite

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Speaker 1: a favorite topic, it's just a topic that always just

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Speaker 1: finds its way into conversation. Yeah, it's a fun topic

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Speaker 1: to ask people about. As illustrated by what's happening right now,

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Speaker 1: we're having a blast talking about nine eleven. All right, Jenna,

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Speaker 1: we're gonna get to know you a little bit better

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

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Speaker 1: a couple of things we're talking about today. We're gonna

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Speaker 1: do a little digest of April Fools fun April Fools

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Speaker 1: pranks just happened yesterday. Uh. We're gonna talk about Puti

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Speaker 1: Pie trolling his way back to number one maybe if

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Speaker 1: we have time. Uh, and then a bunch of serious

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Speaker 1: ship you guys know how the second act works the

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Speaker 1: border shut down that Trump was threatening dangling over our head. Uh,

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Speaker 1: Joe Biden, crazy Joe having to answer for his uh

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Speaker 1: questionable grasp of how to respect people's personal space, I

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Speaker 1: guess would be mild way of putting it. We're gonna

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Speaker 1: talk about Jeff Bezos, how he was actually hacked. The

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Speaker 1: Brother of the Year Michael Sanchez story seems to be

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Speaker 1: falling apart a little bit. Uh, And we might even

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Speaker 1: talk about Grill X saving the world from mosquitoes, which

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Speaker 1: has the vibe of an April Fool's joke, but it

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Speaker 1: was not in a published study. I don't know. I'm

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Speaker 1: still the jurors out. This is. This is the thing

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Speaker 1: about April Fools in our current world is so much

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Speaker 1: of reality is just fucking bonkers now that it it's

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Speaker 1: not at all clear what is an April Fool's joke

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Speaker 1: and what isn't. And also so many corporations with terrible

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Speaker 1: senses of humor are trying to do pranks and don't

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Speaker 1: know what a joke is, so that also makes it

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Speaker 1: somewhat confusing. So anyways, we'll talk about that bizarre experience

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Speaker 1: of April Fools that we all had yesterday. But first, Jenna,

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Speaker 1: what is something from your search history that is revealing

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Speaker 1: about who you are? I probably like go on with

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Speaker 1: m D too much to look at like rashes and things,

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Speaker 1: mostly rashes. Yeah, like if there's a rash, not even

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Speaker 1: on me. My boyfriend had like a rash on his yeah, shoulder,

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Speaker 1: I'm without telling him. I'd just like googled. I was

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Speaker 1: like trying to figure out what it was. It's probably

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Speaker 1: just like a little bit of like sun blotch, nous,

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Speaker 1: some burn. Yeah. I was like, maybe he has something. Yeah,

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Speaker 1: So are you always just diagnosing other people? Are you

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Speaker 1: also something? You notice something and then you pop on

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Speaker 1: web md to try and get to the bottom that

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Speaker 1: you probably have cancer? Which is I think a little

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Speaker 1: bit of both. I think I miss diagnosed a lot

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Speaker 1: of stuff on web md all the time. Yeah, is

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Speaker 1: there Like I mean, what is the actual benefit of

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Speaker 1: web md Because all everyone I know who used it,

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Speaker 1: they used it to terrify themselves. Somebody needs to do

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Speaker 1: some research and like find the statistics on that, Like

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Speaker 1: how often do people go into the doctor and they're like,

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Speaker 1: I I got this thing that web md says is

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Speaker 1: cancer and actually catches cancer? Because I don't think that often.

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Speaker 1: I'm sure they would be, you know, probably announcing that

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Speaker 1: if that was the case of their web right, But

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Speaker 1: for me, it's just a source of terror. Yes, but

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Speaker 1: it's good for like skin cancer, like if you have

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Speaker 1: like a weird mole like I was watching Stick River

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Speaker 1: um and Sean Penn in that movie has like a

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Speaker 1: mole on his neck and it's definitely like basil cell

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Speaker 1: carcinoma or something. Really. I went online and peoplere like,

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Speaker 1: maybe it's a tattoo, but I haven't done. I didn't

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Speaker 1: like dig into what Sean Penn's neck look like. Now.

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Speaker 1: I just hope he got it fixed. But then I

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Speaker 1: was like, oh, I did. I think The last thing

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Speaker 1: I did Google was like Sean pen cancer because I

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Speaker 1: saw it. I was on a flight the other night,

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Speaker 1: so I was like, what is it even? You can

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Speaker 1: see them all if you watch Mystic River the whole time.

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Speaker 1: The mole could have won like an oscar best supporting Character,

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Speaker 1: So in your face on his neck? Uh? So do

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Speaker 1: we get to the bottom of it? Do you do

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Speaker 1: you think we should reach out to Sean and his people?

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Speaker 1: I mean sure, I'm sure that movie was a few

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Speaker 1: years ago, he would have gotten worse by now. But

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Speaker 1: but even from your search, we didn't find out though,

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Speaker 1: if that was anything to do with anything. Well, if

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Speaker 1: you google Sean Penn Mole Mystic River, someone somewhere said

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Speaker 1: that it was a tattoo, but it was not a tattoo.

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Speaker 1: It was definitely what if It's like part of his

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Speaker 1: character story that like he just needed to internalize, like

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Speaker 1: the full story. It's like, oh, dude, does of skin

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Speaker 1: cancer like three years later, Yeah he could. I was

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Speaker 1: thinking then, I'm like, that is an easter egg. If

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Speaker 1: I've ever exactly such a weird but that is the

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Speaker 1: sort of easter egg you would have a Mr. River,

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Speaker 1: like a story about a bunch of middle aged people

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Speaker 1: in Boston is like one of them get skin cancer.

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Speaker 1: She passes away slowly and in an unremarkable way. Um yeah, man,

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Speaker 1: baby skin. I have a one year old at home

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Speaker 1: and baby skin is fucking terrifying. Like there will just

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Speaker 1: be insane rashes that come up like for no reason,

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Speaker 1: and it looks like the kid is going to disintegrate,

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Speaker 1: and then it just like goes away, and the doctors

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Speaker 1: are like, yeah, sometimes that happens. It just doesn't make

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Speaker 1: any sense, Like I think my child has a stigmata. Right. Uh. Yeah,

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Speaker 1: So we go on web m D a lot, despite

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Speaker 1: your your wife being a doctor, despite her being a doctor.

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Speaker 1: What does she think of going on web m D.

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Speaker 1: Oh she does it, So I guess she's like she

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Speaker 1: has the medical or scientific literacy to not just go

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Speaker 1: into it. I mean she does it like at work,

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Speaker 1: like that's how she diagnosed symptoms. Oh ship, you're no, No, actually,

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Speaker 1: I think I'm pretty sure I'm the only one who

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Speaker 1: goes on web m D and then I suggest things

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Speaker 1: and then she goes into some probably better version of

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Speaker 1: web MD that she has and finds out the real answer. Uh.

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Speaker 1: And it's usually you shouldn't worry about it. But you're

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Speaker 1: going through and here is this medical training. What if

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Speaker 1: something you think is underrated, um, well overrated? First underrated,

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Speaker 1: I would say, soy milk over overrated because it's really

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Speaker 1: not good for you. Okay, it's like it has like

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Speaker 1: weird I don't know what, like hormones or something, and

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Speaker 1: it's it's actually not healthy for you. But what if

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Speaker 1: I am a soy boy, like a self professed soy boy,

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Speaker 1: and I know if you need that to survive. Then

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Speaker 1: I guess it's better than the alternative. I rely on

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Speaker 1: it to raise my estrogen levels. Man, you gotta gotta

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Speaker 1: get off that info wars man, right, yea gets you

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Speaker 1: all sucked up. Yeah, and then underrated. I would say

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Speaker 1: breast milk because yeah, I'm going to go there. It is.

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Speaker 1: It cures eye infections. There was actually a company, I

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Speaker 1: think meadow Act that got it. I forget which company,

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Speaker 1: but they got in trouble for like trying to like

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Speaker 1: harvest it from low income women in Detroit. There was

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Speaker 1: a whole story about this a couple of years ago,

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Speaker 1: and Um, it has all these weird I'm going to

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Speaker 1: gag if I think about it too much. But it

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Speaker 1: has all of these weird cures, and it's like just

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Speaker 1: very valuable resource right under our noses. Yeah, directly hear me,

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Speaker 1: because I take a nice glass of that every morning.

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Speaker 1: It is clearing up an eye infection. It's insane, like

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Speaker 1: like they want to use it like or synthesize. You

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Speaker 1: put breast milk on a like a wound, little here,

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Speaker 1: heal faster. It's like really, um, and there's a whole

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Speaker 1: like a black market economy for breast milk. People buy

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Speaker 1: breast milk online because they're trying to give their kids

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Speaker 1: breast milk. It's also like super sketchy because it has

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Speaker 1: like if it you know, it could have whatever. I'm

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Speaker 1: going to gag, it could have like whatever. Yeah, it's

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Speaker 1: not fully p DS in it or something. If you

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Speaker 1: have there there's no like pasteurization process with its. But

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Speaker 1: it is it is a very you know, it's a

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Speaker 1: very valuable commodity. And like companies like Nestly got in

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Speaker 1: trouble for trying to discourage women someone who can't breastfeed,

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Speaker 1: but for those who can in other countries. Yeah, they

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Speaker 1: basically made the claim and marketed their formula product as

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Speaker 1: though it was the healthier alternative to breast milk, which

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Speaker 1: is so insidious. And well they did that too America

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Speaker 1: in the eighties because I was raised on formula because

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Speaker 1: they had convinced everybody the formula was better for you.

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Speaker 1: Like up until recently, I wasn't drinking breast milk. Yeah,

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Speaker 1: I had allergies. So okay, Yeah, what is a myth?

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Speaker 1: What's something people think is true you know to be false? Well,

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Speaker 1: also a medical thing. Um right, there's a whole thing

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Speaker 1: about like you're supposed to take the full dose of antibiotics,

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Speaker 1: and but that kind of antibiotics are really intense and

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Speaker 1: they funk with your gut bacteria. And I had a

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Speaker 1: like I was sick from traveling. I got really sick,

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Speaker 1: and I had I had a doctor that I was

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Speaker 1: talking to because I have a couple of doctors on

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Speaker 1: speed dial. But so I made sure that you know,

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Speaker 1: I wasn't doing this irresponsibly. But I took like half

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Speaker 1: a dose of cipro and then the next day I

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Speaker 1: took half a dose of it, and then another half

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Speaker 1: a dose that day because we're supposed to do whatever.

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Speaker 1: I micro dos to cipro, and it really worked and

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Speaker 1: the bug was out of my body within like seventy

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Speaker 1: two hours. Yeah, and did you talk to the doctor

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Speaker 1: and they were like yeah, that was like is it

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Speaker 1: okay if I do it this way? And he was

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Speaker 1: like yeah, because you're just going off like some Twitter

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Speaker 1: thread you saw and just but I do know friends

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Speaker 1: who have taken antibiotics and gotten sick from the antibiotics

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Speaker 1: because they just like it kills rotti or gut bacteria,

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Speaker 1: and so I don't like to take antibotics if I

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Speaker 1: don't have to, but I I was in Mexico with

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Speaker 1: my boyfriend that we actually fell in love this way

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Speaker 1: because we both got really really sick because we were

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Speaker 1: careful to not drink the water, and then by j

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Speaker 1: three we were like, you know, having like tequila on ice,

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Speaker 1: drinking from We were so dumb and had so much

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Speaker 1: fun um, but we got really really sick. And then

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Speaker 1: we were sharing one bathroom, so that I think that's

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Speaker 1: how we fellow. Yeah, one bathroom hotel. It was a

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Speaker 1: little airbnb, yeah, but it was Yeah. But we I

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Speaker 1: also because as you can tell a little bit, I'm

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Speaker 1: like kind of paranoid, but I travel with sip brow

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Speaker 1: whenever I can, or like an antibiotic. I never use it,

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Speaker 1: but I just travel with it. And so after like

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Speaker 1: two days of just like not being able to leave

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Speaker 1: the bathroom, I was like, Okay, let's try this, and

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Speaker 1: it's like knocked. It was. It was like a real

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Speaker 1: testament of the power of modern medicine that we were

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Speaker 1: so sick and within like really just like maybe a

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Speaker 1: day and a half, it was like we were fine.

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Speaker 1: It's crazy, And I think that's also a cool lesson

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Speaker 1: that you like had a thought about like your own

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Speaker 1: body and what it needed, and you talk to your

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Speaker 1: doctor about it, and they're like, yeah, sure, even though

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Speaker 1: it's like not necessarily a thing that's on the bottle.

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Speaker 1: It's like doctors treat the patient, the individual. They're not

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Speaker 1: just like going off of yeah, and I'm not like

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Speaker 1: an anti vaxxer and my dad's a doctor, so I've

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Speaker 1: been around you know, like that kind of person. No,

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Speaker 1: I think that's you're you're not recommending. I'm not recommending

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Speaker 1: just like listening grape fruits instead of antibiotics. You're saying, like,

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Speaker 1: maybe mess with the dosing and talk to your doctor

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Speaker 1: about it, which seems, in terms of things that have

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Speaker 1: been said on this podcast, relatively controversial. Look, you consulted

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Speaker 1: a doctor, Yeah, exactly, that's step one. Step one. Step one.

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Speaker 1: Are you scientifically medically literate? No? Step two? But that

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Speaker 1: just create Antibiotics are like very tightly regulated now because

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Speaker 1: of the like evolution of the superbug, the concerns over that,

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Speaker 1: which it should be. But like my wife, like the

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Speaker 1: number one thing that people come to her for, like

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Speaker 1: it's like a drug, is like, hey man, let me

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Speaker 1: get some of that antibiotics. Let me get some of

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Speaker 1: that sip bro because they're just trying to knock it

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Speaker 1: outpack baby. All right, guys, let's get into April Fool's jokes.

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Speaker 1: Huh the best time of the year for those of

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Speaker 1: us in comedy, right, isn't aware of what's happening today?

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Speaker 1: Holy sh it, Miles, you want to just go micro

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Speaker 1: machine man on this ship. So you know, the Washington

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Speaker 1: Post was throughout days going here's an updating list of

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Speaker 1: all the April Fools things are happening. And by the

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Speaker 1: time I got to the thirtieth thing, I was like,

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Speaker 1: why why are we doing this? So, for example, DJ

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Speaker 1: Khalid isn't TikTok's new chief motivational officer. Spotify turned its

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Speaker 1: Discover Weekly custom playlists into Disco Cover Weekly, a playlist

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Speaker 1: of disco covers. Uh. Let's see Shutterstock isn't opening a

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Speaker 1: brick and mortar library for stock images. Roku isn't re

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Speaker 1: introducing a remote for dogs. Let's see Halo Top isn't

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Speaker 1: launching an edible ice cream face mask. Yeah, I get it.

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Speaker 1: It's just all like, well, can I say one thing

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Speaker 1: I note about disco because I just watched the studio

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Speaker 1: documentary Plane I didn't realize like how transgressive and cool

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Speaker 1: discos origins were, and that the backlash discos kind of

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Speaker 1: like what's going on now with like the like Trump

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Speaker 1: is um Like the backlash disco was like Midwestern people

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Speaker 1: getting like angry at like kind of like tolerant inclusive, yeah,

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Speaker 1: like lgbt Q friendly. Most famous style, the most famous

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Speaker 1: anti disco event was like the disco record burning like

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Speaker 1: an Indian game, Like I think, yeah, that's right, but

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Speaker 1: I didn't. I didn't realize like the Symbolist and something like,

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Speaker 1: I think we actually have to bring disco back and

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Speaker 1: not have it. I'm not a hater on disco at all,

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Speaker 1: especially like when you think about people who listen like

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Speaker 1: Justice or Daft Punk, You're like, you're listening to spend

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Speaker 1: up disco samples. My man, they're not really doing much.

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Speaker 1: That gets a good point that the sort of sensibility

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Speaker 1: of all these pranks is, you know, they're trying to

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Speaker 1: reach the largest possible audience. So it's all like pranks

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Speaker 1: as conceived by like the j leno ish, right, I

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Speaker 1: mean there's all kinds of weird stuff. There's a Lockheed

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Speaker 1: Martin there. They said they had a perfume that smells

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Speaker 1: like outer space. Tender was introducing a hyte verification badge. Um,

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Speaker 1: let's see, there was a mr avo head idea right

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Speaker 1: there that that that's I think, just come up with

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Speaker 1: a good idea that like you can't necessarily get off

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Speaker 1: the ground, but you would if you could, and like

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Speaker 1: those are those at least they proved that the brand

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Speaker 1: is like interesting or like has like is in touch

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Speaker 1: with them where it's like the halo top thing like

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Speaker 1: edible ice cream mask is just stupid, or like std

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Speaker 1: verification would be cool, right, yeah, But then what else?

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Speaker 1: Someone said? There was like a mineral water popsicle like

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Speaker 1: it was just really just lame ship and one thing

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Speaker 1: that I think just ice but on a stick so

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Speaker 1: it felt like a uh, you know, dessert. Then there

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Speaker 1: was a weed flavored cottage cheese. Anyway, it's just guys,

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Speaker 1: I'm just like, what are we doing? And then what

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Speaker 1: I'm surprised wasn't on here was Elon Musk over the

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Speaker 1: weekend was like became a SoundCloud rapper and no one

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Speaker 1: is treating this like an April Fool's joke. Is it

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Speaker 1: a joke? Well, I don't. According to him, he's like,

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Speaker 1: this is a new thing. I'm trying out Emo G

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Speaker 1: records um and the song he dropped is called r

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Speaker 1: I P harambe Um And it's like so it's like

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Speaker 1: at the moment, it's like, clearly up, he just got that.

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Speaker 1: What it was it was Robbie or some ship. Yeah.

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Speaker 1: The annoying thing is the song is has like a

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Speaker 1: really catchy hook. So like he played it for us

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Speaker 1: and like immediately got in my head. So which isn't

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Speaker 1: surprising because he's like super rich and he also has

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Speaker 1: Yeah he also like can like probably datea mine whatever

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Speaker 1: is in your head, right, Yeah, yeah, yeah, that's true.

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Speaker 1: It's like I using machine learning, I've already created like

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Speaker 1: I know who you are. And another thing, someone said

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Speaker 1: that there is going to be a pasta air freshener,

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Speaker 1: which I thought, again on its face, like you gotta

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Speaker 1: do better, Like the point is to fool us. Yeah,

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Speaker 1: your maister making bonds now is like what yeah, gives

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Speaker 1: the ship again? What are you talking about? Their pivoting baby?

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Speaker 1: But which makes sense because a lot of alcohol companies

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Speaker 1: are trying to be like I think weed is the

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Speaker 1: next wave. We're gonna have to worry about alcohol. Right, guys,

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Speaker 1: time x is launching a watch with a new twenty

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Speaker 1: five hour on it. How did they come up with

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Speaker 1: just that Time Come On? Yeah, which is a great

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Speaker 1: movie by the way, and underrated and about our topic. Yeah,

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Speaker 1: all right, let's bring it back to where was everybody?

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Speaker 1: Uh seriously, where was everyone those flights? It was so young.

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Speaker 1: I don't remember it. I was working for the Pentagon

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Speaker 1: at the time. Actually, so I'm very old. Al Right, Well,

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Speaker 1: fuck April fools. Um, yeah, just blanket April fools. Just

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Speaker 1: blanket fuck April fools. Blanket April fools. That didn't come

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Speaker 1: out right. Yes, we're gonna take a quick break. We'll

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Speaker 1: be right back. And we're back, and it's Act two. Guys.

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Speaker 1: It's time to time for the bring down. Uh, let's

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Speaker 1: talk about the Trump administration doubling down on their threat

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Speaker 1: too literally shut down the Mexican border. Yeah, it's seal

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Speaker 1: it apparently it's the children of men. I mean, before

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Speaker 1: you know, Trump was telling Mexico being like, you have

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Speaker 1: to end illegal immigration, as if somehow Mexico was responsible

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Speaker 1: for the surge of families seeking asylum at the southern border. Um.

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Speaker 1: And now it's turned into just threats of full stop

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Speaker 1: just shutting down the border. How will we get out? Though?

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Speaker 1: What do we want to get out? You have to fly,

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Speaker 1: like you know, that's the only way. That tunnel I

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Speaker 1: usually go, yeah, right underneath that abandoned burger king. But yeah,

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Speaker 1: So the whole thing was just sort of like Mexico,

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Speaker 1: you deal with it. Now it's turning into just shut

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Speaker 1: it down. And when you really look at it, I mean,

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Speaker 1: every every move has been to only exacerbate this issue

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Speaker 1: at the border. I mean, over the weekend announced that

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Speaker 1: he was cutting aid, like hundreds of millions of dollars

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Speaker 1: of aid to El Salvador, Guatemalan, Honduras, the primary places

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Speaker 1: where right again and so only exacerbating the problems there,

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Speaker 1: which would probably catalyze this movement north. So now it's

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Speaker 1: this border talk of getting tough and the thing that

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Speaker 1: every like economy, all these people just like there's no

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Speaker 1: way he would do that. That's it's a huge trade

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Speaker 1: partner or whatever. I don't know what exactly how serious

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Speaker 1: this threat is, but I mean when you just think

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Speaker 1: about it, like Mexico is America's third largest trading partner,

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Speaker 1: and that's like like one point six billion dollars a

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Speaker 1: day worth of trade goes across that border every day.

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Speaker 1: We would run out of avocados in three weeks. Right

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Speaker 1: For millennials who don't give a funk about this kind

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Speaker 1: of ship, I think about your avocados, because that's true.

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Speaker 1: It would it would hurt the avocado economy. Um. And

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Speaker 1: I think just when you look at this sort of

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Speaker 1: all the widespread consequences and things, it's just this isn't

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Speaker 1: just a US Mexico thing, because it's also a huge,

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Speaker 1: like global economy trade point. And there's like a thousand

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Speaker 1: trucks passed through the border every day. There's like eleven

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Speaker 1: international trains that go through Laredo, I believe, So this

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Speaker 1: is light yeah, right, and just like a shitty way

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Speaker 1: that would only just affect the economy, would affect employers,

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Speaker 1: would affect jobs. And I'm sure that's just a way

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Speaker 1: to basically say, oh, let's create a bottleneck in trade here.

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Speaker 1: We can blame the knock on effects on immigrants. And

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Speaker 1: maybe I don't know, I don't know if he's trying

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Speaker 1: to do this to like ramp his base up more,

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Speaker 1: but it's just a really odd move considering that there's

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Speaker 1: really no benefit to this aside from like just really

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Speaker 1: bad economic effects. I'm starting to think he might not

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Speaker 1: be our guy, right. I know we are a Trump

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Speaker 1: podcast here the dailies like brought to you by Coke Industries? Yes,

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Speaker 1: should we talk about that? I just later the guys

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Speaker 1: that was a mistake. There's no fucking way the Coke

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Speaker 1: Industries sponsors. We just lost track of things because I

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Speaker 1: mean they offered us so much money. Took a helicopter

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Speaker 1: to work today, was actually a jet. But yeah, so anyway,

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Speaker 1: like when you go on, I think, you know, a

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Speaker 1: lot of this posturing is just sort of you know,

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Speaker 1: has a lot of people talking about what the solutions are,

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Speaker 1: especially among presidential candidates. That's where like Betto Rourke was

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Speaker 1: sort of saying, like, we need to actually help these

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Speaker 1: countries and try and start stabilizing these places first, so

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Speaker 1: we don't have people who are trying to seek asylum

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Speaker 1: here first. Because I think there was a few articles

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Speaker 1: about saying like Betto is sort of you know, I

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Speaker 1: guess posturing himself or placing himself strategically to answer uh

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Speaker 1: Trump's sort of anti immigrant stance because his policies now

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Speaker 1: have people saying, well, we need you know, we need

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Speaker 1: a path to citizenship, we need all these other things,

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Speaker 1: which just sort of, I guess bolsters Trump's argument that

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Speaker 1: these people are here because are these Democrats just want

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Speaker 1: to let people in willy nilly, And that's sort of

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Speaker 1: like they're I guess the platform they're using, Whereas Betto

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Speaker 1: is also saying that we we obviously have to be

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Speaker 1: uh humane with people who are actually seeking asylum and

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Speaker 1: fleeing violence, but at the same time, we can't just

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Speaker 1: cut eight off to these places and expect things to

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Speaker 1: not improve. What is he standing on top of when

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Speaker 1: he says that, because it has to be something tall

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Speaker 1: so that a lot of people I think it was

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Speaker 1: a stage. Actually this traditional Yeah, those are great that

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Speaker 1: I've always found standing on stages to be great way

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Speaker 1: to reach the people. Yeah, I mean it seems like

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Speaker 1: uh saying this isn't a serious idea, It doesn't matter.

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Speaker 1: He's not a serious person, the president, And it just

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Speaker 1: seems like in the current media environment where like it's

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Speaker 1: not functional enough for people to actually get the full

425
00:23:48,080 --> 00:23:51,639
Speaker 1: picture that he is creating the problem that is happening

426
00:23:51,680 --> 00:23:55,520
Speaker 1: at the border. And so it seems like from his perspective,

427
00:23:55,560 --> 00:23:58,000
Speaker 1: it seems like a perfectly rational thing to do is

428
00:23:58,160 --> 00:24:02,280
Speaker 1: create a terrified war zone on the border, because that

429
00:24:02,600 --> 00:24:06,280
Speaker 1: gives him he's been acting liking feeds off of chaos,

430
00:24:06,359 --> 00:24:10,520
Speaker 1: and it helps him right using just those talking points

431
00:24:10,640 --> 00:24:12,840
Speaker 1: as if there is a crisis at the border. So

432
00:24:12,960 --> 00:24:16,080
Speaker 1: by creating one, he gets to be the guy who's

433
00:24:16,119 --> 00:24:20,119
Speaker 1: tough on boorder stuff, like, you know, heading into the election.

434
00:24:20,200 --> 00:24:22,760
Speaker 1: So I don't I don't think anybody should doubt that

435
00:24:22,920 --> 00:24:26,480
Speaker 1: he's going to do the most reprehensible thing possible in

436
00:24:26,560 --> 00:24:29,040
Speaker 1: this case. Yeah, I don't understand why we're even still

437
00:24:29,080 --> 00:24:30,720
Speaker 1: listening to him. Like I know that he is quote

438
00:24:30,800 --> 00:24:34,440
Speaker 1: unquote president, and I just but I just think that

439
00:24:34,600 --> 00:24:39,200
Speaker 1: he's lost any credibility with the American people and it's

440
00:24:39,280 --> 00:24:41,720
Speaker 1: just kind of white noise at this point, and just

441
00:24:42,200 --> 00:24:45,000
Speaker 1: like ignore him and try to focus on policy and

442
00:24:45,240 --> 00:24:49,119
Speaker 1: and getting the Democrat in the White House. Yeah, you thinks,

443
00:24:49,320 --> 00:24:52,240
Speaker 1: you'd hope. So it's he is the first president with

444
00:24:52,440 --> 00:24:57,760
Speaker 1: a functioning propaganda wing. So it's it's scary. I just

445
00:24:57,880 --> 00:25:01,480
Speaker 1: I feel like the set, can you stop paying attention

446
00:25:01,480 --> 00:25:04,359
Speaker 1: to him? The more Fox just gets to kind of

447
00:25:04,520 --> 00:25:07,560
Speaker 1: take over and control the messaging around everything he does,

448
00:25:07,920 --> 00:25:11,480
Speaker 1: which you know, Fox is fully a part of the

449
00:25:11,560 --> 00:25:16,479
Speaker 1: Trump administration at this point. So yeah, it's uh, I mean,

450
00:25:16,560 --> 00:25:18,680
Speaker 1: no good answer. Well, I think at the very least

451
00:25:18,760 --> 00:25:20,960
Speaker 1: this only you know, I get the thing where I

452
00:25:21,040 --> 00:25:23,440
Speaker 1: think to people who aren't supporters of Trump, they go,

453
00:25:23,560 --> 00:25:26,440
Speaker 1: this is absolutely ridiculous, Like this makes no sense. I

454
00:25:26,480 --> 00:25:28,600
Speaker 1: think the people who are motivated to vote against him

455
00:25:28,680 --> 00:25:32,240
Speaker 1: don't need this to add this to it. But it's

456
00:25:32,359 --> 00:25:33,879
Speaker 1: I don't know. I guess this is a play to

457
00:25:33,960 --> 00:25:36,160
Speaker 1: his base just because, like you're saying, he's the tough

458
00:25:36,240 --> 00:25:40,680
Speaker 1: guy who could would potentially damage the economy too, you know,

459
00:25:40,880 --> 00:25:45,240
Speaker 1: solve some fake crisis that he created. Alright, guys, let's

460
00:25:45,280 --> 00:25:50,399
Speaker 1: talk about the Democrats running for president in where at

461
00:25:50,480 --> 00:25:54,200
Speaker 1: least to be about to run. Well, whoa, whoa. I

462
00:25:54,280 --> 00:25:56,440
Speaker 1: didn't say I was running, just said that if I

463
00:25:56,560 --> 00:26:00,719
Speaker 1: were running. My book. Crazy Joe Bidens, as the President

464
00:26:00,800 --> 00:26:03,680
Speaker 1: calls him, is now have an answer for his not

465
00:26:03,960 --> 00:26:08,280
Speaker 1: great grasp on the concept of invading people's personal space.

466
00:26:08,840 --> 00:26:13,000
Speaker 1: The specific complaint is from like Lucy Flora's who. Lucy

467
00:26:13,080 --> 00:26:16,720
Speaker 1: Flora was a Nevada state or was a former state

468
00:26:16,760 --> 00:26:20,480
Speaker 1: assembly woman. There's also photograph yeah, yeah, where she's basically

469
00:26:20,520 --> 00:26:24,320
Speaker 1: saying no, no, not at all. I think when I

470
00:26:24,400 --> 00:26:28,200
Speaker 1: think every Joe Biden photo has some creepy ship, There's

471
00:26:28,280 --> 00:26:30,359
Speaker 1: one I was showing Jack like a while back of

472
00:26:30,480 --> 00:26:33,080
Speaker 1: like him with these two bikers and he has like

473
00:26:33,240 --> 00:26:35,680
Speaker 1: a woman on his lap and it looks like he

474
00:26:36,520 --> 00:26:39,240
Speaker 1: is like in the process of courting this woman away

475
00:26:39,280 --> 00:26:42,840
Speaker 1: from her husband or partner in this thing. Anyway, in

476
00:26:42,960 --> 00:26:47,320
Speaker 1: this instance, his whole body, like his whole interaction with

477
00:26:48,160 --> 00:26:51,080
Speaker 1: any woman he's around, like has the vibe of a

478
00:26:51,280 --> 00:26:54,240
Speaker 1: clingy middle school boyfriend. Like it's just like his head

479
00:26:54,359 --> 00:26:58,800
Speaker 1: is in their neck and it's just like too too much. Yeah,

480
00:26:59,000 --> 00:27:01,840
Speaker 1: so I guess in this in her run for lieutenant governor,

481
00:27:02,320 --> 00:27:04,159
Speaker 1: you know, she said that he had like given her

482
00:27:04,400 --> 00:27:06,200
Speaker 1: like a kiss on the cheek or something. She wanted

483
00:27:06,200 --> 00:27:08,040
Speaker 1: to be clear that she said it did wasn't any

484
00:27:08,080 --> 00:27:10,760
Speaker 1: sort of in the territory of a sexual assault or anything,

485
00:27:10,800 --> 00:27:13,639
Speaker 1: but clearly it felt like a violation of Yeah, I mean,

486
00:27:13,680 --> 00:27:16,440
Speaker 1: if we can, like the larger issues less even just

487
00:27:16,560 --> 00:27:19,520
Speaker 1: like the physicality of what they're doing, but it's like

488
00:27:19,680 --> 00:27:24,080
Speaker 1: kind of seeing women as people versus not seeing women

489
00:27:24,119 --> 00:27:25,960
Speaker 1: as people. And how does that. I mean, I think

490
00:27:26,000 --> 00:27:29,960
Speaker 1: that Joe Biden you know, has matured and has enough

491
00:27:30,000 --> 00:27:31,760
Speaker 1: really smart people around him that it wouldn't be as

492
00:27:31,800 --> 00:27:33,040
Speaker 1: much of an issue. But like if you kind of

493
00:27:33,080 --> 00:27:36,359
Speaker 1: look at like how he acted during the Nita Hill

494
00:27:36,440 --> 00:27:40,520
Speaker 1: hearings and like just kind of I mean, like it's

495
00:27:40,560 --> 00:27:43,040
Speaker 1: funny because I think that the top three contenders, it

496
00:27:43,119 --> 00:27:46,280
Speaker 1: looks like, are like going to be like Bernie Biden

497
00:27:46,400 --> 00:27:50,000
Speaker 1: and you know, maybe Beato or at least Trump, like

498
00:27:50,400 --> 00:27:53,120
Speaker 1: you know, on the Republican side, and it's like these

499
00:27:53,160 --> 00:27:56,080
Speaker 1: are men, they're like, I mean, for take Beato out

500
00:27:56,119 --> 00:27:58,120
Speaker 1: of it. But it's like you're literally like we think

501
00:27:58,200 --> 00:28:03,000
Speaker 1: we're the whole country is Democrat, Republican, Independent, like all

502
00:28:03,080 --> 00:28:07,160
Speaker 1: captivated by like men over seventy and it's just it's

503
00:28:07,160 --> 00:28:10,359
Speaker 1: a bummer. Like I just did shows in Seattle and

504
00:28:10,640 --> 00:28:12,960
Speaker 1: people were so obsessed with Bernie but they didn't even

505
00:28:13,000 --> 00:28:15,359
Speaker 1: know who live with Warren is And it just like

506
00:28:15,480 --> 00:28:18,520
Speaker 1: blows my mind that she doesn't have because she's not

507
00:28:18,640 --> 00:28:20,639
Speaker 1: I guess as exciting to them as a man who's

508
00:28:20,760 --> 00:28:25,439
Speaker 1: about to die. It's and that's not a threat. That's

509
00:28:25,480 --> 00:28:29,439
Speaker 1: just how time works. Um, you know, people aren't as

510
00:28:29,560 --> 00:28:32,239
Speaker 1: like captivated. And I think I love that there are

511
00:28:32,240 --> 00:28:34,040
Speaker 1: so many women running because it's like, you know, how

512
00:28:34,119 --> 00:28:35,960
Speaker 1: many times can you use the word shrill and have

513
00:28:36,119 --> 00:28:37,879
Speaker 1: us not see a pattern? Like I think it's helpful

514
00:28:37,960 --> 00:28:41,320
Speaker 1: that all all the women are running. Um, But at

515
00:28:41,360 --> 00:28:43,160
Speaker 1: the same time, like I'm not I feel like it's

516
00:28:43,160 --> 00:28:44,760
Speaker 1: going to be like Bernie versus Trump, and I will

517
00:28:44,920 --> 00:28:46,960
Speaker 1: totally vote for Bernie over Trump, but it just feels

518
00:28:47,000 --> 00:28:49,400
Speaker 1: like it's really and like, you know, I don't know,

519
00:28:49,400 --> 00:28:52,120
Speaker 1: I'm too opinionated about this, but like Beto is cool,

520
00:28:52,240 --> 00:28:55,040
Speaker 1: I just feel like there are he just doesn't really

521
00:28:55,080 --> 00:28:56,920
Speaker 1: bring anything new to the table and I and I

522
00:28:57,000 --> 00:28:59,480
Speaker 1: would like to see him run maybe next election. Yeah,

523
00:28:59,480 --> 00:29:01,080
Speaker 1: And I think that's why a lot of people are

524
00:29:01,160 --> 00:29:02,920
Speaker 1: at least for me, I'm desperate to see all these

525
00:29:02,960 --> 00:29:04,760
Speaker 1: people in the debate stage because that's when we're going

526
00:29:04,800 --> 00:29:07,280
Speaker 1: to start to at least hopefully people can begin to

527
00:29:07,400 --> 00:29:09,600
Speaker 1: notice other people aside from like, what are the two

528
00:29:09,680 --> 00:29:12,080
Speaker 1: brands you're most familiar with, because I think that's what

529
00:29:12,240 --> 00:29:14,680
Speaker 1: a lot of the pollings is. Just like the familiarity

530
00:29:14,800 --> 00:29:16,960
Speaker 1: is what's boosting a lot of the polling numbers. When

531
00:29:16,960 --> 00:29:18,600
Speaker 1: I feel like really good ideas are coming out of

532
00:29:18,640 --> 00:29:21,880
Speaker 1: these other candidates. Even like debates just feel like somewhat

533
00:29:22,120 --> 00:29:24,240
Speaker 1: mood over just looking at someone's track record and what

534
00:29:24,280 --> 00:29:26,360
Speaker 1: they've done, Look at their resume, Look at Elizabeth Warren's

535
00:29:26,400 --> 00:29:28,320
Speaker 1: resume for sure, for sure, And I guess I mean

536
00:29:28,400 --> 00:29:30,800
Speaker 1: I mean to speak to the general population that isn't

537
00:29:30,840 --> 00:29:34,640
Speaker 1: as into the nuances of like political candidacies work and

538
00:29:34,720 --> 00:29:36,680
Speaker 1: things like that, where like they need like did you

539
00:29:36,760 --> 00:29:38,880
Speaker 1: see that viral moment from the Twitter thing where like

540
00:29:38,920 --> 00:29:42,000
Speaker 1: Elizabeth warren't owned Bernie on the stage and that's like

541
00:29:42,080 --> 00:29:44,680
Speaker 1: the sadly like that's a lot of the currency people

542
00:29:44,680 --> 00:29:48,760
Speaker 1: are like true though, but it's basically like like America

543
00:29:48,880 --> 00:29:51,040
Speaker 1: picking an actor over a director to run our country.

544
00:29:51,560 --> 00:29:53,440
Speaker 1: What I mean, it's the same thing. It's like why

545
00:29:53,520 --> 00:29:57,240
Speaker 1: is showmanship or whatever? Why is that such a determining

546
00:29:57,280 --> 00:29:58,960
Speaker 1: factor and who we think should be a good leader?

547
00:29:58,960 --> 00:30:00,600
Speaker 1: And I think we have to have a discussion on

548
00:30:00,760 --> 00:30:03,440
Speaker 1: like and I know we talked to I remember Louis

549
00:30:03,520 --> 00:30:06,680
Speaker 1: had a joke about like wanting like a pilot, like

550
00:30:06,880 --> 00:30:09,000
Speaker 1: the type of pilot you want to run your plane

551
00:30:09,000 --> 00:30:11,560
Speaker 1: to be somebody who's like flown a plane before. I

552
00:30:11,640 --> 00:30:13,480
Speaker 1: think that really is like a good analogy of like

553
00:30:14,000 --> 00:30:16,720
Speaker 1: the type of person that like our priorities as a

554
00:30:16,760 --> 00:30:18,920
Speaker 1: country are and miss align. And that's a conversation I

555
00:30:19,000 --> 00:30:21,880
Speaker 1: think we should be having that we're not really having, right,

556
00:30:22,400 --> 00:30:24,560
Speaker 1: do you think that most? I guess, like, I mean,

557
00:30:24,600 --> 00:30:26,280
Speaker 1: I totally agree with that. I just like I think

558
00:30:26,320 --> 00:30:28,200
Speaker 1: the hard part is how do we get people who

559
00:30:28,240 --> 00:30:30,720
Speaker 1: are just so disengaged or apathetic to like sort of

560
00:30:30,800 --> 00:30:33,800
Speaker 1: find the meaning in that? And I mean, yeah, no,

561
00:30:34,000 --> 00:30:36,400
Speaker 1: like half of our country doesn't. Well that's why, I mean,

562
00:30:36,520 --> 00:30:38,720
Speaker 1: that's a whole much longer conversation, but it's like, that's

563
00:30:38,720 --> 00:30:41,760
Speaker 1: why we have to invest in education and civic education

564
00:30:41,880 --> 00:30:44,520
Speaker 1: and get people to vote. Um, it'll be interesting to

565
00:30:44,560 --> 00:30:47,840
Speaker 1: see how many people vote in this election, because it's

566
00:30:47,920 --> 00:30:51,320
Speaker 1: what of our country doesn't vote, of the voting populationship

567
00:30:52,280 --> 00:30:54,880
Speaker 1: and a lot of them though, are disenfranchised, and it's

568
00:30:54,920 --> 00:30:56,560
Speaker 1: hard for people to vote. And I think that's a

569
00:30:56,640 --> 00:30:58,560
Speaker 1: conversation that we didn't have in the last election that

570
00:30:58,640 --> 00:31:01,520
Speaker 1: we're having now. But yeah, I mean I think we're

571
00:31:01,600 --> 00:31:04,640
Speaker 1: so fucked also when you look like now the GOP

572
00:31:04,720 --> 00:31:08,000
Speaker 1: scrambling to like try and purge vote Roles still, you know,

573
00:31:08,160 --> 00:31:10,840
Speaker 1: like Florida is still trying to take back those voting

574
00:31:10,920 --> 00:31:13,280
Speaker 1: rights that were reinstated to felons in the state. Because

575
00:31:13,280 --> 00:31:15,880
Speaker 1: I'd say that that is going to be the very

576
00:31:16,080 --> 00:31:20,000
Speaker 1: last thing that, like before the GOP, the Republican Party

577
00:31:20,320 --> 00:31:24,760
Speaker 1: like shrivels up and dies in hopefully twenty years but

578
00:31:24,920 --> 00:31:28,440
Speaker 1: probably more likely five hundred years. Like the very last

579
00:31:28,520 --> 00:31:31,920
Speaker 1: thing they will be holding onto is voter suppression because

580
00:31:31,960 --> 00:31:35,280
Speaker 1: that's basically all they are is their whole ideology at

581
00:31:35,320 --> 00:31:38,080
Speaker 1: this point is white men should run things, white men

582
00:31:38,120 --> 00:31:42,080
Speaker 1: should make the decisions or like people who are you know,

583
00:31:42,280 --> 00:31:47,360
Speaker 1: have means, uh you know, and that's that's their way

584
00:31:47,440 --> 00:31:49,520
Speaker 1: of doing that. And when you guess, when you look

585
00:31:49,520 --> 00:31:53,240
Speaker 1: at statistically like demographically by you have like the brown

586
00:31:53,360 --> 00:31:56,640
Speaker 1: vote versus the just traditional white American vote is going

587
00:31:56,680 --> 00:31:59,720
Speaker 1: to be I think it's gonna eclipse them. So they're

588
00:31:59,720 --> 00:32:01,560
Speaker 1: looking at a map and they're looking at an evolving

589
00:32:01,600 --> 00:32:04,680
Speaker 1: country like okay, so we can only win if we cheat. Yeah,

590
00:32:04,720 --> 00:32:07,320
Speaker 1: It's been like that. Yeah the past, I mean, look

591
00:32:07,360 --> 00:32:11,840
Speaker 1: at two thousand, look at and I agree the complaints

592
00:32:11,920 --> 00:32:15,920
Speaker 1: you hear about Elizabeth Warren are all like I haven't

593
00:32:15,960 --> 00:32:19,440
Speaker 1: heard a non sexist criticism of Elizabeth Warren yet. It's

594
00:32:19,480 --> 00:32:22,800
Speaker 1: all like just superficial ship that unfortunately, like I don't

595
00:32:23,200 --> 00:32:26,120
Speaker 1: I don't know that the debate stage is going to

596
00:32:26,440 --> 00:32:30,280
Speaker 1: fix that because it is such superficial bullshit that people

597
00:32:30,320 --> 00:32:32,440
Speaker 1: are objecting to. But yeah, I mean, if you just

598
00:32:32,600 --> 00:32:36,400
Speaker 1: look at the like the person who has the most

599
00:32:37,160 --> 00:32:41,240
Speaker 1: completely thought out and thoroughly like, you can tell they've

600
00:32:41,320 --> 00:32:44,600
Speaker 1: been thinking about being president like in the country and

601
00:32:44,680 --> 00:32:48,680
Speaker 1: how to run the country for you know, years and

602
00:32:48,880 --> 00:32:52,720
Speaker 1: years and years, Like Elizabeth Warren is your candidate. But

603
00:32:52,880 --> 00:32:56,760
Speaker 1: people fucking are like, yeah, but she's not electable or

604
00:32:56,960 --> 00:33:00,400
Speaker 1: she's like I'm so annoying, or she doesn't seem innuite,

605
00:33:00,440 --> 00:33:02,720
Speaker 1: and it's all just the ship that's like in the

606
00:33:02,880 --> 00:33:05,760
Speaker 1: gray area that I don't know. I just feel like

607
00:33:05,840 --> 00:33:09,440
Speaker 1: she could really unite like both factions of the Democratic Party.

608
00:33:09,480 --> 00:33:11,360
Speaker 1: But there's this thing that's happening that happened in the

609
00:33:11,440 --> 00:33:13,760
Speaker 1: last selection that I feel like we're not we don't

610
00:33:13,800 --> 00:33:17,040
Speaker 1: take seriously, but just the way and how effective like

611
00:33:17,200 --> 00:33:20,960
Speaker 1: online campaigns are like radicalizing people with like the bots

612
00:33:21,000 --> 00:33:23,120
Speaker 1: and the trolls, and you can see it and you

613
00:33:23,160 --> 00:33:25,200
Speaker 1: can feel it. Like I remember when Bernie first announced

614
00:33:25,200 --> 00:33:27,200
Speaker 1: that he was going to maybe run, I just like

615
00:33:27,280 --> 00:33:29,480
Speaker 1: tweeted like Bernie should run as a Republican and like,

616
00:33:29,560 --> 00:33:32,560
Speaker 1: funk that party this time. And the amount of hate

617
00:33:32,600 --> 00:33:35,520
Speaker 1: that I got online it was definitely like a coordinated attack,

618
00:33:35,640 --> 00:33:38,080
Speaker 1: like you could. It was like thousands of people, some

619
00:33:38,240 --> 00:33:41,560
Speaker 1: were real, some were fake. I thought that they were

620
00:33:41,600 --> 00:33:44,280
Speaker 1: all fake, but then like I kind of like I

621
00:33:44,400 --> 00:33:46,760
Speaker 1: didn't ducks one guy, but I just like looked into

622
00:33:46,960 --> 00:33:50,000
Speaker 1: him and had friends look into him without giving away

623
00:33:50,040 --> 00:33:51,720
Speaker 1: his name, and somebody's like, this is a real guy.

624
00:33:52,160 --> 00:33:55,320
Speaker 1: And that was even scarier to just know that like that,

625
00:33:55,680 --> 00:33:59,080
Speaker 1: real people now are are being radicalized online. And I

626
00:33:59,160 --> 00:34:01,280
Speaker 1: think we still don't take it us seriously. But if

627
00:34:01,280 --> 00:34:04,040
Speaker 1: you go on Facebook or Twitter, like I think we

628
00:34:04,160 --> 00:34:07,120
Speaker 1: need to all just realize, like how those platforms in

629
00:34:07,160 --> 00:34:10,879
Speaker 1: their current iteration are really harmful to democracy and kind

630
00:34:10,920 --> 00:34:14,880
Speaker 1: of talk to people offline, and yeah, I mean that's

631
00:34:15,120 --> 00:34:17,160
Speaker 1: kind of the next part of the you know, going

632
00:34:17,239 --> 00:34:19,600
Speaker 1: back to the Biden thing, a lot of people are

633
00:34:20,160 --> 00:34:24,040
Speaker 1: then coming out and saying, well, this is just cynical bullshit.

634
00:34:24,360 --> 00:34:27,160
Speaker 1: You know, these are democrats tearing each other down and

635
00:34:27,320 --> 00:34:30,080
Speaker 1: this probably was, like, Miles, your first reaction to this

636
00:34:30,160 --> 00:34:33,560
Speaker 1: news story was like, I wonder which Democratic campaign is

637
00:34:33,719 --> 00:34:36,000
Speaker 1: like sort of because there's been stuff come out and

638
00:34:37,239 --> 00:34:40,120
Speaker 1: like and not to say that her story isn't sincere

639
00:34:40,200 --> 00:34:42,160
Speaker 1: or credible or that this is a thing worth talking

640
00:34:42,239 --> 00:34:46,520
Speaker 1: about it, but like you can start seeing the political

641
00:34:46,840 --> 00:34:49,000
Speaker 1: trickery that's starting to happen, because it's like, oh, he

642
00:34:49,080 --> 00:34:50,920
Speaker 1: still even has an announced but like, let's give him

643
00:34:51,000 --> 00:34:53,200
Speaker 1: something that he has to talk about. And but again,

644
00:34:53,520 --> 00:34:55,120
Speaker 1: even if he was going to run, he was going

645
00:34:55,160 --> 00:34:57,000
Speaker 1: to have to answer to this was going to happen.

646
00:34:57,200 --> 00:35:00,600
Speaker 1: Like you said, there's there's a shortage of pictures where

647
00:35:00,680 --> 00:35:02,839
Speaker 1: he's not doing this, not a shortage of pictures where

648
00:35:02,880 --> 00:35:05,080
Speaker 1: he is doing or even this or just other things,

649
00:35:05,200 --> 00:35:07,560
Speaker 1: you know, Like especially when we were talking about how

650
00:35:07,640 --> 00:35:10,279
Speaker 1: the rumors were like Stacey Abrams could be his running mate,

651
00:35:10,320 --> 00:35:13,200
Speaker 1: and she was out here very specifically being like, I

652
00:35:13,239 --> 00:35:14,880
Speaker 1: don't like the way he like, I didn't like the

653
00:35:14,920 --> 00:35:17,120
Speaker 1: way the Anita Hill hearings went right, and we knew

654
00:35:17,160 --> 00:35:18,960
Speaker 1: it's like those are the kinds of things that I'm

655
00:35:18,960 --> 00:35:21,040
Speaker 1: sure probably most likely come out on a debate stage

656
00:35:21,120 --> 00:35:23,520
Speaker 1: or something, or when they're interacting where another candidate can

657
00:35:23,520 --> 00:35:25,600
Speaker 1: be like, well, do you remember, do you recall you're

658
00:35:25,680 --> 00:35:28,080
Speaker 1: like you were you were out here standing for like

659
00:35:28,239 --> 00:35:31,520
Speaker 1: mass incarceration, right, and these other things. Meanwhile, Trump has

660
00:35:31,560 --> 00:35:36,280
Speaker 1: been accused of rape twice and sexual assault and harassment

661
00:35:36,360 --> 00:35:40,080
Speaker 1: over seventeen times. Right, But I do think so it's

662
00:35:40,080 --> 00:35:42,920
Speaker 1: like we have to try to It's very hard with

663
00:35:43,280 --> 00:35:46,759
Speaker 1: just the natural, like I guess, progressive inclination to kind

664
00:35:46,800 --> 00:35:49,520
Speaker 1: of be in the weeds and be thoughtful versus the

665
00:35:49,600 --> 00:35:51,839
Speaker 1: other side. It's like, I forget the quote, but it's

666
00:35:51,880 --> 00:35:55,040
Speaker 1: like how fascists get in line, whereas like or like,

667
00:35:55,280 --> 00:35:59,640
Speaker 1: you know, liberal and progressive people are thoughtful, and so

668
00:36:00,000 --> 00:36:01,759
Speaker 1: it's harder to form consensus. So it's like when you

669
00:36:01,840 --> 00:36:04,560
Speaker 1: have those natural personality types and then you also have

670
00:36:04,840 --> 00:36:11,640
Speaker 1: like foreign you know, and and U Republican forces pushing

671
00:36:11,800 --> 00:36:14,360
Speaker 1: us further apart, it's like it's a it's going to

672
00:36:14,440 --> 00:36:17,000
Speaker 1: be really hard for us all to coalesce around somebody

673
00:36:17,040 --> 00:36:20,080
Speaker 1: who's just not Trump, right. Yeah, And I think I

674
00:36:20,160 --> 00:36:22,000
Speaker 1: think hopefully that everyone is at the end of the

675
00:36:22,080 --> 00:36:23,960
Speaker 1: day being like, Okay, whatever it shakes out to be,

676
00:36:24,000 --> 00:36:26,319
Speaker 1: whoever the nominee is can we just agree that that's

677
00:36:26,360 --> 00:36:27,759
Speaker 1: the person we're going to, and I want and I

678
00:36:27,840 --> 00:36:29,759
Speaker 1: want to believe we can. But then I and like

679
00:36:29,880 --> 00:36:31,800
Speaker 1: why I was so sad that Bernie was running and

680
00:36:31,800 --> 00:36:33,359
Speaker 1: I could get told for this, I get told every

681
00:36:33,360 --> 00:36:36,080
Speaker 1: time and talk about him, um is because like I

682
00:36:36,160 --> 00:36:38,480
Speaker 1: felt like I just wanted to move that behind us,

683
00:36:38,520 --> 00:36:40,920
Speaker 1: and he has like he's such like a divisive character,

684
00:36:41,800 --> 00:36:46,840
Speaker 1: and like, just seeing how shook out, I don't know

685
00:36:46,960 --> 00:36:50,960
Speaker 1: if we can all coalesce around one person. Right, yeah,

686
00:36:51,040 --> 00:36:52,680
Speaker 1: we'll see hopefully. I mean that's where you know, but

687
00:36:52,760 --> 00:36:54,880
Speaker 1: I agree, right right, right, yeah, I mean that's and

688
00:36:55,080 --> 00:36:58,439
Speaker 1: I think that's everyone's sort of fear going into, whether

689
00:36:58,480 --> 00:37:02,400
Speaker 1: it's somebody like or somebody's like a whole army of

690
00:37:02,520 --> 00:37:06,320
Speaker 1: people freaking out because you raised a question about Bernie,

691
00:37:06,640 --> 00:37:10,440
Speaker 1: or you know, whether it's people being like stop tearing

692
00:37:10,520 --> 00:37:13,520
Speaker 1: Joe Biden down, like we can't attack each other. Like

693
00:37:13,880 --> 00:37:17,800
Speaker 1: this is the process, like people like the primary process

694
00:37:17,960 --> 00:37:19,920
Speaker 1: is built so that you put a bunch of candidates

695
00:37:20,440 --> 00:37:25,360
Speaker 1: on a stage or on a cafeteria you know table,

696
00:37:25,719 --> 00:37:29,520
Speaker 1: uh and by bed oath case, and you like put

697
00:37:29,600 --> 00:37:32,920
Speaker 1: them up there and then the strongest candidate makes it out,

698
00:37:33,080 --> 00:37:36,440
Speaker 1: so like the strongest candidate well or like the candidate

699
00:37:36,560 --> 00:37:39,040
Speaker 1: who is I don't know. I guess the candidate who

700
00:37:39,080 --> 00:37:41,240
Speaker 1: makes it out makes it out. But it's the best

701
00:37:41,400 --> 00:37:43,680
Speaker 1: system that we have. Like I don't I don't understand

702
00:37:43,760 --> 00:37:48,160
Speaker 1: the idea that it's unfair to like do electoral politics

703
00:37:48,320 --> 00:37:52,160
Speaker 1: at these elected politicians who are trying to like get

704
00:37:52,200 --> 00:37:55,360
Speaker 1: elected to office, like get your antibodies up, like this

705
00:37:55,560 --> 00:37:58,680
Speaker 1: is what this is part of the process. And somebody

706
00:37:58,840 --> 00:38:02,000
Speaker 1: was going to point out that this dude is handsy

707
00:38:02,080 --> 00:38:05,560
Speaker 1: as fuck and like, you know, might have some outdated

708
00:38:05,680 --> 00:38:09,680
Speaker 1: notions about uh women. But even then, I just even

709
00:38:10,080 --> 00:38:12,520
Speaker 1: before all of that, he was a bad choice just

710
00:38:12,640 --> 00:38:16,480
Speaker 1: based on his track record and where his age and

711
00:38:16,719 --> 00:38:19,719
Speaker 1: where the momentum is, like with younger people who are

712
00:38:19,760 --> 00:38:21,840
Speaker 1: going to be who like really need to be voting

713
00:38:21,880 --> 00:38:24,439
Speaker 1: and participating because all this ship it's like we're gonna

714
00:38:24,480 --> 00:38:26,680
Speaker 1: all this is gonna fall on us by the time work.

715
00:38:26,800 --> 00:38:28,400
Speaker 1: If you're going to be dead in ten years, Like

716
00:38:28,440 --> 00:38:32,120
Speaker 1: you shouldn't be able to vote. I'm sorry, you shouldn't

717
00:38:32,120 --> 00:38:34,960
Speaker 1: be able to vote, like to our planet if you're

718
00:38:34,960 --> 00:38:36,640
Speaker 1: not going to be on it. Yeah, that's why I

719
00:38:36,719 --> 00:38:39,200
Speaker 1: say it's just registered. The climate change deniers put them

720
00:38:39,200 --> 00:38:41,200
Speaker 1: on the list now, so we know when the Earth

721
00:38:41,239 --> 00:38:43,080
Speaker 1: gets sucked up, they can live in the curse of Earth.

722
00:38:43,280 --> 00:38:45,439
Speaker 1: That's all right, We're going to take a quick break,

723
00:38:45,440 --> 00:39:01,120
Speaker 1: Will and we're back and Jeff us So, we've been

724
00:39:01,200 --> 00:39:04,879
Speaker 1: following the story of how his dick got leaked onto

725
00:39:05,000 --> 00:39:08,680
Speaker 1: the internet um or threats of threats of his dick

726
00:39:09,000 --> 00:39:12,000
Speaker 1: being leaked onto the internet made you know that somebody,

727
00:39:12,080 --> 00:39:14,640
Speaker 1: somebody got access to his dick picks and with threatening

728
00:39:14,760 --> 00:39:19,520
Speaker 1: him with said dick picks. And the last story that

729
00:39:19,600 --> 00:39:23,080
Speaker 1: we had heard credibly reported was that it was his

730
00:39:24,480 --> 00:39:31,080
Speaker 1: now girlfriend now girlfriend former mistress Lauren Sanchez brother Michael Sanchez,

731
00:39:31,120 --> 00:39:34,120
Speaker 1: which was weird and we were just like, oh, people

732
00:39:34,120 --> 00:39:36,279
Speaker 1: are weird, were like, what, this doesn't make sense. He

733
00:39:36,400 --> 00:39:38,840
Speaker 1: was like, yeah, I got two hundred thousand dollars to

734
00:39:38,960 --> 00:39:42,400
Speaker 1: steal my sister's text messages and like intimate photos of

735
00:39:42,520 --> 00:39:47,920
Speaker 1: her and Jeff Bezos in exchange for softer coverage when

736
00:39:48,000 --> 00:39:52,320
Speaker 1: the Inquirer exposes the affair, like and it was like,

737
00:39:52,520 --> 00:39:54,640
Speaker 1: you know, I actually did it to protect my sister, right,

738
00:39:54,760 --> 00:39:57,000
Speaker 1: So he was really trying to paint himself as the

739
00:39:57,080 --> 00:39:59,319
Speaker 1: Brother of the Year, and that just didn't make sense.

740
00:39:59,360 --> 00:40:02,160
Speaker 1: But it didn't even like the logic of like how

741
00:40:02,320 --> 00:40:05,279
Speaker 1: it was making sense to him didn't make sense. It's like, wait,

742
00:40:05,400 --> 00:40:09,479
Speaker 1: I don't even fully understand what you're saying. Your thought

743
00:40:09,520 --> 00:40:13,880
Speaker 1: process was, Yeah, And when Bezos came out with what

744
00:40:13,960 --> 00:40:15,680
Speaker 1: was that post on medium when he was just saying,

745
00:40:15,760 --> 00:40:18,480
Speaker 1: like before I'm outed, like, let me just tell you

746
00:40:18,520 --> 00:40:20,719
Speaker 1: about what's been going on, and the National enquir has

747
00:40:20,760 --> 00:40:23,200
Speaker 1: been trying to extort me. Here are my emails, and

748
00:40:23,280 --> 00:40:26,320
Speaker 1: there was a lot of talk about specifically am I

749
00:40:26,520 --> 00:40:29,160
Speaker 1: demanding that Jeff Bezos says this had nothing to do

750
00:40:29,280 --> 00:40:32,439
Speaker 1: with like outside pressure, and then like they even named

751
00:40:32,480 --> 00:40:35,960
Speaker 1: Saudi Arabia. So he has a man who works for

752
00:40:36,040 --> 00:40:38,000
Speaker 1: him named Gavin de Becker, who is a you know,

753
00:40:38,440 --> 00:40:41,640
Speaker 1: security expert and consulted with the government since like the

754
00:40:41,719 --> 00:40:44,560
Speaker 1: Reagan yours like pretty credible guy, and said, hey, can

755
00:40:44,600 --> 00:40:47,080
Speaker 1: you look into this because I have a feeling because

756
00:40:47,120 --> 00:40:50,160
Speaker 1: I own the Washington Post and Jamal Hashoji was killed

757
00:40:50,520 --> 00:40:53,040
Speaker 1: and we just didn't stop talking about this and putting

758
00:40:53,200 --> 00:40:56,520
Speaker 1: Saudi Arabia and Mohammed bin Salmon under a microscope that

759
00:40:56,640 --> 00:40:58,400
Speaker 1: I have a feeling this has something to do with that,

760
00:40:58,760 --> 00:41:01,880
Speaker 1: just a hunch and can cosidering the friendship between am

761
00:41:01,920 --> 00:41:04,480
Speaker 1: I and Mohammed bin Salma, it's us all seems maybe

762
00:41:04,520 --> 00:41:07,360
Speaker 1: there's something there. Well, now, Gavin de Becker in The

763
00:41:07,480 --> 00:41:11,160
Speaker 1: Daily Beast has a piece where just basically saying, yeah,

764
00:41:12,040 --> 00:41:15,680
Speaker 1: we have experts, we investigated it, and all fingers are

765
00:41:15,760 --> 00:41:21,200
Speaker 1: pointing at Saudi Arabia as the source of the hacked material. Yeah. Uh,

766
00:41:21,280 --> 00:41:23,120
Speaker 1: And this is a quie from is that our investigators

767
00:41:23,160 --> 00:41:25,560
Speaker 1: and several experts concluded with high confidence that the Saudi

768
00:41:25,600 --> 00:41:28,720
Speaker 1: has had access to Bezos' phone and gained private information.

769
00:41:28,800 --> 00:41:30,879
Speaker 1: As of today, it's unclear to what degree if any

770
00:41:31,200 --> 00:41:34,640
Speaker 1: am I was aware of the details. Um So at

771
00:41:34,680 --> 00:41:36,440
Speaker 1: the time, I know there were some people saying that

772
00:41:36,520 --> 00:41:40,839
Speaker 1: even before the Inquirer spoke with Michael Sanchez, that they

773
00:41:40,880 --> 00:41:43,759
Speaker 1: had already seen these text messages. And then maybe that

774
00:41:43,840 --> 00:41:46,800
Speaker 1: Michael Sanchez being used as just a smoke screen, because

775
00:41:46,960 --> 00:41:49,680
Speaker 1: really these were this is hacked material from foreign government.

776
00:41:50,120 --> 00:41:53,919
Speaker 1: He goes on saying it was very unusual how hard

777
00:41:54,040 --> 00:41:57,080
Speaker 1: am I people work to publicly reveal their sources identity.

778
00:41:57,160 --> 00:41:59,279
Speaker 1: First through strong hints they gave to me and later

779
00:41:59,320 --> 00:42:02,520
Speaker 1: through direct stay mins, am I practically pinned a quote

780
00:42:02,560 --> 00:42:04,800
Speaker 1: kick me sign on Michael Sanchez. It was not the

781
00:42:04,840 --> 00:42:07,080
Speaker 1: White House, it was not Saudi Arabia, a company lawyer

782
00:42:07,160 --> 00:42:09,800
Speaker 1: said on national television before telling us more. It was

783
00:42:09,840 --> 00:42:12,799
Speaker 1: a person that was known to both Bezos and ms Sanchez.

784
00:42:13,400 --> 00:42:18,400
Speaker 1: Um So, yeah, yeah, well, so it seems like the

785
00:42:18,560 --> 00:42:21,719
Speaker 1: only version of events that has yet made sense to

786
00:42:21,800 --> 00:42:26,319
Speaker 1: me would be that am I got the hacked information

787
00:42:26,560 --> 00:42:31,520
Speaker 1: from Bezes his phone from Saudi officials who were pissed

788
00:42:31,600 --> 00:42:35,759
Speaker 1: that the Washington Post was, you know, reporting on the

789
00:42:35,880 --> 00:42:39,799
Speaker 1: fact that they murdered somebody in broad daylight and cold blood. Uh.

790
00:42:40,040 --> 00:42:44,719
Speaker 1: And then you know, because am I knew that people

791
00:42:44,800 --> 00:42:46,920
Speaker 1: were going to start asking who their sources were of

792
00:42:47,080 --> 00:42:51,279
Speaker 1: the of this like clearly hacked information, they then went

793
00:42:51,520 --> 00:42:55,680
Speaker 1: about finding somebody who they could use as like their

794
00:42:55,760 --> 00:43:00,880
Speaker 1: beard for right, their stooge for doing this, and like

795
00:43:01,120 --> 00:43:03,560
Speaker 1: just name a price for this person, be like, yeah,

796
00:43:03,600 --> 00:43:06,839
Speaker 1: I did it. It was me. That's the only version

797
00:43:06,920 --> 00:43:10,960
Speaker 1: that's made sense to me, because Michael Sanchez saying that

798
00:43:11,120 --> 00:43:15,160
Speaker 1: he did it to protect his sister and Jeff Bezos

799
00:43:15,440 --> 00:43:18,400
Speaker 1: in some way and their families. Right, it doesn't doesn't

800
00:43:18,400 --> 00:43:22,000
Speaker 1: make sense. I mean, him doing it for two thousand dollars,

801
00:43:22,600 --> 00:43:24,960
Speaker 1: I guess makes some sense and then just coming off

802
00:43:24,960 --> 00:43:28,799
Speaker 1: with a bullshit explanation. But this makes a whole lot

803
00:43:29,080 --> 00:43:32,440
Speaker 1: more sense to me. Could he I mean, he has

804
00:43:32,480 --> 00:43:34,200
Speaker 1: all the money in the world and they have like

805
00:43:34,719 --> 00:43:37,680
Speaker 1: Amazon at his fingertips. Could he have just like sent

806
00:43:37,760 --> 00:43:43,160
Speaker 1: her a picture via mail or something? And like, I

807
00:43:43,200 --> 00:43:46,560
Speaker 1: don't know, is this victim blame me? Like okay, this

808
00:43:46,680 --> 00:43:48,719
Speaker 1: maybe his victim blame me, and maybe we edit it out.

809
00:43:48,800 --> 00:43:51,520
Speaker 1: But it's like you send a picture of your dick

810
00:43:51,560 --> 00:43:53,440
Speaker 1: and you're like a man in your fifties and you're like,

811
00:43:53,480 --> 00:43:55,360
Speaker 1: they'rechest man in the world, Like you want people to

812
00:43:55,360 --> 00:43:58,839
Speaker 1: see your dick? Right, I guess it depends if how

813
00:43:58,920 --> 00:44:02,520
Speaker 1: much dick confidency. I think if you and I didn't,

814
00:44:02,560 --> 00:44:04,120
Speaker 1: if you don't want people to see your dick, you're

815
00:44:04,120 --> 00:44:06,560
Speaker 1: just not going to send a picture of right, right, Right,

816
00:44:06,719 --> 00:44:09,400
Speaker 1: that's true. I've yeah, I can't do it. Is that

817
00:44:09,520 --> 00:44:11,759
Speaker 1: an option? You can't send a picture, You can't not

818
00:44:11,960 --> 00:44:15,560
Speaker 1: send a private Okay, yeah, I've never sent one. The

819
00:44:15,680 --> 00:44:18,479
Speaker 1: Bible has shamed me about feeling naked. It does seem

820
00:44:18,560 --> 00:44:23,080
Speaker 1: like there is a portion of the population for whom

821
00:44:23,520 --> 00:44:26,359
Speaker 1: not sending dick pics is not an option, And I'm

822
00:44:26,480 --> 00:44:31,399
Speaker 1: not fully understood how those people's minds work, because it's

823
00:44:31,400 --> 00:44:34,440
Speaker 1: like diet flashing, I guess, But like, is it just

824
00:44:34,640 --> 00:44:37,760
Speaker 1: because there's been people who were like walking around naked

825
00:44:37,840 --> 00:44:41,480
Speaker 1: underneath trench coats for ages, but like it was like

826
00:44:41,920 --> 00:44:45,400
Speaker 1: point one percent of the population. It wasn't like everyone,

827
00:44:45,640 --> 00:44:48,040
Speaker 1: and now it seems like everyone sends dick pics. Or

828
00:44:48,160 --> 00:44:53,320
Speaker 1: because we're so digitally like billionaires. It's like impulse control disorder,

829
00:44:53,400 --> 00:44:56,200
Speaker 1: which makes some really good at business also maybe make

830
00:44:56,280 --> 00:45:00,279
Speaker 1: some really yeah good at sexting or something. Yeah, I

831
00:45:00,440 --> 00:45:02,400
Speaker 1: just I think or I don't know, like if some

832
00:45:02,560 --> 00:45:04,640
Speaker 1: people who in their minds are so horny, like then

833
00:45:04,719 --> 00:45:06,600
Speaker 1: this is how I'm going to act this out. Like

834
00:45:06,760 --> 00:45:09,000
Speaker 1: I have a picture of my penis. I want to

835
00:45:09,040 --> 00:45:11,920
Speaker 1: see a picture of you because I cannot talk to

836
00:45:12,040 --> 00:45:13,800
Speaker 1: someone and I don't know, it's just I don't I

837
00:45:13,800 --> 00:45:15,960
Speaker 1: couldn't quite wrap my head around the urge to be

838
00:45:16,080 --> 00:45:19,480
Speaker 1: like this is gratifying to me to send this photo

839
00:45:19,719 --> 00:45:22,040
Speaker 1: of a penis to you, right, I mean it's a

840
00:45:22,160 --> 00:45:27,080
Speaker 1: sort of like digital active. Yeah, I guess it's like

841
00:45:27,160 --> 00:45:29,279
Speaker 1: I don't want to blame him, but you would just think,

842
00:45:29,400 --> 00:45:32,160
Speaker 1: like like we all, I always think, like you know,

843
00:45:32,320 --> 00:45:33,879
Speaker 1: I could get hacked at any moment and I will

844
00:45:33,920 --> 00:45:36,960
Speaker 1: never get like nobody fucking cares. But Bezos is like

845
00:45:37,000 --> 00:45:38,800
Speaker 1: the richest man in the world, so like when he

846
00:45:39,960 --> 00:45:43,680
Speaker 1: just think about you would think, so, yeah, just send

847
00:45:43,760 --> 00:45:50,600
Speaker 1: a nice tasteful pillow with this and Garatt type even yeah, yeah,

848
00:45:50,760 --> 00:45:55,279
Speaker 1: like an oil She's got commission dick oil paint is

849
00:45:55,320 --> 00:45:59,040
Speaker 1: a real power movie because commission like Damien Hurst still

850
00:45:59,160 --> 00:46:00,840
Speaker 1: like the model of his dick and send it for

851
00:46:01,040 --> 00:46:05,160
Speaker 1: eight hours a person in front of the Jeff Yeah

852
00:46:05,520 --> 00:46:08,879
Speaker 1: he could do with Jeff Coon's chrome dick. Yeah wow,

853
00:46:09,040 --> 00:46:11,760
Speaker 1: that would That's the new flex for billionairess like actually

854
00:46:11,760 --> 00:46:18,040
Speaker 1: commissioned falla car, million dollar Tom Sacks moon landing dick

855
00:46:18,320 --> 00:46:21,359
Speaker 1: scene or something more elaborate anyway, but yeah, so we'll

856
00:46:21,360 --> 00:46:25,239
Speaker 1: see what happens. Yeah yeah, to be in the cover

857
00:46:25,320 --> 00:46:28,400
Speaker 1: of folk m But the Gavin de Becker he has

858
00:46:28,440 --> 00:46:31,680
Speaker 1: now passed all this information on to the fetes to

859
00:46:31,840 --> 00:46:34,640
Speaker 1: be like it looks like a foreign government is harassing

860
00:46:34,719 --> 00:46:37,680
Speaker 1: one of our citizens and stealing their private information. In

861
00:46:37,840 --> 00:46:40,360
Speaker 1: order to get them to stop. But we'll tell you

862
00:46:40,440 --> 00:46:43,719
Speaker 1: the truth. Will Mike Pompeo do anything? Probably not. Will

863
00:46:44,400 --> 00:46:48,120
Speaker 1: Jared Kushner look at his buddy differently? Probably not. Shouldn't

864
00:46:48,120 --> 00:46:53,240
Speaker 1: be in jail? Whoa, hey, why you leave Jared alone?

865
00:46:53,360 --> 00:46:56,200
Speaker 1: What do you do now? We may have some criticisms

866
00:46:56,239 --> 00:47:00,839
Speaker 1: of Trump already. You know, Jarted is a good man

867
00:47:01,000 --> 00:47:04,880
Speaker 1: who speaks like a muppet and nobody has ever and

868
00:47:05,120 --> 00:47:07,960
Speaker 1: uses the might of military force to coerce people to

869
00:47:08,080 --> 00:47:10,800
Speaker 1: give him money for buildings. He's underwater on talk to

870
00:47:11,120 --> 00:47:15,080
Speaker 1: Rupert Murdoch every day on the phone. That terrified. Yeah,

871
00:47:15,480 --> 00:47:18,080
Speaker 1: you know, like six Avenue makes me feel like we're

872
00:47:18,080 --> 00:47:21,080
Speaker 1: in a simulation right right, like two on the right.

873
00:47:21,120 --> 00:47:25,480
Speaker 1: It's like how it's just yeah, symbolism bleeding through the

874
00:47:25,920 --> 00:47:30,959
Speaker 1: matrix some weird way. Well, speaking of things that seem

875
00:47:31,080 --> 00:47:33,719
Speaker 1: like I had a weird dream where this happened. Uh,

876
00:47:33,840 --> 00:47:37,759
Speaker 1: scrill X is going to save us from mosquitoes of

877
00:47:38,840 --> 00:47:41,120
Speaker 1: I know, when you say it out loud, it sounds

878
00:47:41,239 --> 00:47:45,120
Speaker 1: like a April Fool's prank. But there was a study

879
00:47:45,200 --> 00:47:47,319
Speaker 1: and that I found this in the BBC. And if

880
00:47:47,360 --> 00:47:51,120
Speaker 1: the BBC is sucking around, oh my God betrayed. But

881
00:47:51,640 --> 00:47:53,879
Speaker 1: they said, there's a study that was just released where

882
00:47:53,920 --> 00:47:56,960
Speaker 1: scientists were using music to try and see like how

883
00:47:57,080 --> 00:47:59,560
Speaker 1: mosquitoes respond to that, because sound is like a crucial

884
00:47:59,640 --> 00:48:02,320
Speaker 1: fact or in the life cycle of mosquitoes. And so

885
00:48:02,520 --> 00:48:05,920
Speaker 1: they specifically chose a scrill Ex track because it has

886
00:48:05,960 --> 00:48:08,400
Speaker 1: a mixture of like high and low frequencies, so they

887
00:48:08,440 --> 00:48:11,040
Speaker 1: could kind of see the effects. And when they were

888
00:48:11,120 --> 00:48:13,719
Speaker 1: blasting it at like their group of the scrill Ex

889
00:48:13,760 --> 00:48:17,080
Speaker 1: mosquitoes versus their control group, they found that there were

890
00:48:17,400 --> 00:48:21,000
Speaker 1: like very much actual effects. So first, for instance, or

891
00:48:21,120 --> 00:48:23,200
Speaker 1: just as a you know, a base a foundation for

892
00:48:23,280 --> 00:48:26,520
Speaker 1: us to talk about this, uh. And insects, low frequency

893
00:48:26,640 --> 00:48:31,400
Speaker 1: vibrations facilitate sexual interactions, whereas just noise disrupts the perception

894
00:48:31,440 --> 00:48:34,200
Speaker 1: of signals from con specifics which are members of the

895
00:48:34,239 --> 00:48:37,279
Speaker 1: same species and hosts. Okay, So when they played the music,

896
00:48:37,360 --> 00:48:40,520
Speaker 1: they found that female adult mosquitoes were quote entertained by

897
00:48:40,600 --> 00:48:43,680
Speaker 1: the track and attacked hosts later and less often than

898
00:48:43,760 --> 00:48:47,640
Speaker 1: those in the control dub step free environment. Uh. And

899
00:48:47,680 --> 00:48:50,040
Speaker 1: then they also found that the occurrence of blood feeding

900
00:48:50,080 --> 00:48:52,920
Speaker 1: activity was lower when music was being played, and that

901
00:48:53,040 --> 00:48:55,600
Speaker 1: the mosquitoes exposed to the song had sex quote far

902
00:48:55,760 --> 00:48:58,320
Speaker 1: less often than mosquitoes without the music. I thought you

903
00:48:58,320 --> 00:49:02,000
Speaker 1: said they were aroused by the music, uh some music,

904
00:49:02,080 --> 00:49:05,440
Speaker 1: but I think just because whatever was in this Scrillics track,

905
00:49:05,920 --> 00:49:08,200
Speaker 1: there was something in there that there was definitely affecting

906
00:49:08,280 --> 00:49:11,760
Speaker 1: that part. That's funny and it's like low frequency music.

907
00:49:11,920 --> 00:49:15,640
Speaker 1: So it's like Barry White Ship gets mosquitoes play like

908
00:49:15,760 --> 00:49:19,640
Speaker 1: Van Morrison. Yeah right, if if right, I don't know,

909
00:49:19,800 --> 00:49:22,239
Speaker 1: we'll see. And then the whole thing was just saying

910
00:49:22,760 --> 00:49:25,520
Speaker 1: that they're trying to figure out what, like what it

911
00:49:25,640 --> 00:49:27,600
Speaker 1: is about this and try and see if there is

912
00:49:27,680 --> 00:49:31,399
Speaker 1: some kind of like music based personal protection or because

913
00:49:31,440 --> 00:49:33,840
Speaker 1: I get bit all the fucking time. I'm like one

914
00:49:33,880 --> 00:49:36,160
Speaker 1: of those people who you want me around when there's

915
00:49:36,200 --> 00:49:38,720
Speaker 1: mosquitoes because they will just tear me up while everyone

916
00:49:38,760 --> 00:49:41,640
Speaker 1: else is enjoying their time. So if I have to

917
00:49:41,680 --> 00:49:43,880
Speaker 1: walk around with a like a beats pill on my

918
00:49:44,080 --> 00:49:47,360
Speaker 1: neck just blasting scrillisy, I'll be that guy. Yeah, So

919
00:49:47,560 --> 00:49:49,719
Speaker 1: there's not a there's not a version of scrillics that

920
00:49:50,040 --> 00:49:55,640
Speaker 1: only mosquitoes can hear that humans can't crown women like

921
00:49:55,760 --> 00:49:58,640
Speaker 1: higher right. I was gonna say when it said that

922
00:49:58,680 --> 00:50:00,680
Speaker 1: the mosquitoes exposed to this song. I had quote far

923
00:50:00,760 --> 00:50:02,880
Speaker 1: less often than mosquitoes about the music, like it's kind

924
00:50:02,880 --> 00:50:06,000
Speaker 1: of like Dove Step fans. So yeah, yeah, I'm taking

925
00:50:06,040 --> 00:50:10,319
Speaker 1: shots in there. D J. Daniel. I'm sorry, I don't

926
00:50:10,320 --> 00:50:12,480
Speaker 1: know about the Dove Step um, but you know I

927
00:50:12,760 --> 00:50:15,239
Speaker 1: I I look, I welcome every and every kind any

928
00:50:15,360 --> 00:50:18,240
Speaker 1: and every kind of solution to the scores of mosquitoes,

929
00:50:18,239 --> 00:50:20,240
Speaker 1: and especially for them. They're like looking at one specifically

930
00:50:20,280 --> 00:50:23,040
Speaker 1: that we're spreading yellow fever. So it's there. They do

931
00:50:23,120 --> 00:50:27,200
Speaker 1: the Lord's work, and they're coming to Los Angeles, now mosquitoes.

932
00:50:27,239 --> 00:50:28,800
Speaker 1: That was one of my favorite things about l A

933
00:50:29,040 --> 00:50:32,160
Speaker 1: is it's warm weather without a lot of mosquitoes because

934
00:50:32,200 --> 00:50:36,120
Speaker 1: it's so dry. It's a desert. But the that is

935
00:50:36,239 --> 00:50:39,000
Speaker 1: apparently all over the summer is supposed to be it's

936
00:50:39,040 --> 00:50:43,000
Speaker 1: gonna feel like Florida. Really, yeah, they're coming for us.

937
00:50:43,719 --> 00:50:51,160
Speaker 1: Why because it was changing Mosquito bre big problem going

938
00:50:51,280 --> 00:50:55,480
Speaker 1: for Yeah sorry, yeah no, no, for sure, Zico was

939
00:50:56,320 --> 00:50:58,600
Speaker 1: still happening. Yeah, yeah, so I guess we're gonna have

940
00:50:58,600 --> 00:51:03,600
Speaker 1: to walk around these scrill looks necklaces. Just one quick thing,

941
00:51:03,920 --> 00:51:08,400
Speaker 1: like a little sidebar about this story. Is this is

942
00:51:08,480 --> 00:51:13,040
Speaker 1: the second sorry I've heard from the BBC in the

943
00:51:13,120 --> 00:51:16,680
Speaker 1: last week that sounds like garbage news, like the sort

944
00:51:16,680 --> 00:51:18,600
Speaker 1: of ship you would see on like a O L

945
00:51:19,160 --> 00:51:22,279
Speaker 1: dot com or something like that. Because there was also

946
00:51:22,400 --> 00:51:26,640
Speaker 1: one I heard quote it on another podcast about Momo

947
00:51:26,800 --> 00:51:29,040
Speaker 1: where they were talking about the Momo challenge like it

948
00:51:29,239 --> 00:51:31,439
Speaker 1: was this real thing that was just like taking out

949
00:51:31,640 --> 00:51:35,680
Speaker 1: swaths of the population. And so I don't know, let's

950
00:51:35,719 --> 00:51:38,680
Speaker 1: let's keep an eye on BBC. Maybe they've like there

951
00:51:38,800 --> 00:51:41,720
Speaker 1: was a period where Forbes all of a sudden started

952
00:51:41,760 --> 00:51:44,920
Speaker 1: like using open source reporting, and people for like a

953
00:51:45,000 --> 00:51:48,160
Speaker 1: couple of months were like Forbes said it, and it

954
00:51:48,320 --> 00:51:52,680
Speaker 1: was like, oh no, that's like Forbes's forum driven derived

955
00:51:53,280 --> 00:51:56,920
Speaker 1: like journalism outlet that hasn't been checked at all. I mean,

956
00:51:56,960 --> 00:51:58,800
Speaker 1: I think maybe what they do is they just have it,

957
00:51:58,920 --> 00:52:01,920
Speaker 1: like they have their more things that serve the clickbait

958
00:52:02,000 --> 00:52:04,320
Speaker 1: world to try and get your interactions, because that's the

959
00:52:04,360 --> 00:52:06,160
Speaker 1: game these days. But I don't feel that they're going

960
00:52:06,200 --> 00:52:09,399
Speaker 1: to like compromise themselves like Time magazine or Newsweek has

961
00:52:09,960 --> 00:52:13,000
Speaker 1: where they're just like doing old stories from like just

962
00:52:13,120 --> 00:52:16,640
Speaker 1: like Indian tabloids about people like coming back to life

963
00:52:16,680 --> 00:52:20,080
Speaker 1: and ship. So people in the UK like there was

964
00:52:20,200 --> 00:52:23,040
Speaker 1: a weird Momo thing that like when viral, and parents

965
00:52:23,120 --> 00:52:25,040
Speaker 1: were like thinking that it was going to cause the

966
00:52:25,160 --> 00:52:27,240
Speaker 1: kids to try to kill themselves or something like actually

967
00:52:27,440 --> 00:52:30,319
Speaker 1: like took off I think in London or something much

968
00:52:30,360 --> 00:52:33,279
Speaker 1: more than the US, like or like at least the

969
00:52:34,239 --> 00:52:36,560
Speaker 1: fear of it was a much more pronounced where people

970
00:52:36,600 --> 00:52:40,160
Speaker 1: here are like, really this okay, but I look I

971
00:52:40,320 --> 00:52:42,680
Speaker 1: need this to be true. Yeah, so please don't introduce

972
00:52:42,760 --> 00:52:45,319
Speaker 1: doubt into my mind because you're just looking for an

973
00:52:45,360 --> 00:52:48,279
Speaker 1: excuse to start wearing that scrill x pill necklace that

974
00:52:48,320 --> 00:52:50,840
Speaker 1: you've been walking to market around the office. Yeah, and

975
00:52:50,880 --> 00:52:52,600
Speaker 1: this T shirt. Hopefully all my teacher my scrill x

976
00:52:52,640 --> 00:52:56,239
Speaker 1: t shirts will also keep the mosquitoes. I love Momo too.

977
00:52:56,320 --> 00:53:00,640
Speaker 1: I think she's like such an icon. Yeah yeah, really

978
00:53:01,160 --> 00:53:04,120
Speaker 1: do you think by getting it tatted? Sure? Yeah, no,

979
00:53:04,280 --> 00:53:08,360
Speaker 1: I don't actually want to choose, always wanted to be

980
00:53:08,440 --> 00:53:12,080
Speaker 1: buried in a Jewish cemetery, but yeah, like a temporary

981
00:53:12,120 --> 00:53:16,920
Speaker 1: Momo tattoo for sure on my face of course. Uh,

982
00:53:18,120 --> 00:53:20,880
Speaker 1: let's talk about Pautie Pie real quick, because there's so

983
00:53:21,040 --> 00:53:22,920
Speaker 1: this is something that just keeps popping up in the

984
00:53:23,040 --> 00:53:28,160
Speaker 1: news that I just I am so fascinated by guys.

985
00:53:28,480 --> 00:53:32,160
Speaker 1: I know. So Pautie Pie has launched a viral campaign

986
00:53:32,840 --> 00:53:39,480
Speaker 1: where he is fake competing with this giant Indian corporation

987
00:53:39,760 --> 00:53:45,560
Speaker 1: called T something T Series T Series where they like,

988
00:53:45,680 --> 00:53:49,880
Speaker 1: this is a giant Indian corporation that publishes all Bollywood

989
00:53:50,040 --> 00:53:53,879
Speaker 1: movie trailers and all like Bollywood music videos and it's

990
00:53:53,920 --> 00:53:58,640
Speaker 1: just enormous and they overtook Pautie Pie and like, I

991
00:53:58,840 --> 00:54:01,600
Speaker 1: didn't even know who Beauty Pie was. And then he

992
00:54:01,719 --> 00:54:04,200
Speaker 1: launched this big thing being like you guys have to

993
00:54:04,280 --> 00:54:06,960
Speaker 1: like keep me like acting like they had a rivalry.

994
00:54:07,320 --> 00:54:10,080
Speaker 1: It was like a fun troll. I guess, like it's

995
00:54:10,200 --> 00:54:14,120
Speaker 1: he's just you know, trolling a giant corporation in India

996
00:54:14,160 --> 00:54:16,440
Speaker 1: who doesn't know who he is. But then like it

997
00:54:16,600 --> 00:54:20,280
Speaker 1: took off and um, you know, people are hacking printers

998
00:54:20,360 --> 00:54:23,120
Speaker 1: so that they would print out like, uh, subscribe to

999
00:54:23,239 --> 00:54:26,480
Speaker 1: Beauty Pie like a thousand times, and you know a

1000
00:54:26,560 --> 00:54:29,680
Speaker 1: lot of people took it way too seriously, which is

1001
00:54:30,000 --> 00:54:33,080
Speaker 1: what you would expect from a lot of his fan base.

1002
00:54:33,560 --> 00:54:37,759
Speaker 1: And he recently retook the number one spot for most

1003
00:54:37,920 --> 00:54:44,279
Speaker 1: subscribers with ninety two point three million YouTube subscribers by

1004
00:54:44,520 --> 00:54:49,280
Speaker 1: launching a video where he congratulated T Series on defeating

1005
00:54:49,360 --> 00:54:52,040
Speaker 1: him and basically admitted defeat. So he's good at this

1006
00:54:52,160 --> 00:54:58,160
Speaker 1: sort of I'm not this guy. Yeah, no, he's not great.

1007
00:54:58,200 --> 00:55:00,600
Speaker 1: I'm not saying he's cool. I don't even want to

1008
00:55:00,640 --> 00:55:03,919
Speaker 1: give this motherfucker air. Okay, you know, like I don't

1009
00:55:04,000 --> 00:55:07,560
Speaker 1: understand it. What what draws people to him? He well,

1010
00:55:07,600 --> 00:55:10,160
Speaker 1: he's just a very popular YouTuber, but he he does

1011
00:55:10,280 --> 00:55:14,080
Speaker 1: this dumb shit where he he flirts with like white

1012
00:55:14,120 --> 00:55:17,560
Speaker 1: supremacy and like just trying to be edgy, and people,

1013
00:55:17,640 --> 00:55:19,320
Speaker 1: you know, you can say, oh, well, he's just joking

1014
00:55:19,480 --> 00:55:21,520
Speaker 1: or whatever. This is all part of I'm just like

1015
00:55:21,680 --> 00:55:27,440
Speaker 1: don't have the appetite to even acknowledge or discuss it personally. Yea, um,

1016
00:55:28,040 --> 00:55:31,879
Speaker 1: but you know, he's got fans, people like some people

1017
00:55:31,960 --> 00:55:36,719
Speaker 1: like him. I think he's just fucking whack and uh yeah, yeah.

1018
00:55:36,800 --> 00:55:40,960
Speaker 1: It is a type of internet edgeness that like seems

1019
00:55:41,000 --> 00:55:46,080
Speaker 1: to have become fashionable with younger people and like more recently,

1020
00:55:46,640 --> 00:55:51,880
Speaker 1: where like being a fake white supremacist is like considered

1021
00:55:51,960 --> 00:55:58,360
Speaker 1: funny even though it started and they earlier. Yeah, I

1022
00:55:58,440 --> 00:56:02,120
Speaker 1: think he's trying to like people who are not like lords,

1023
00:56:02,200 --> 00:56:05,800
Speaker 1: trying to do like you know, this is funny addressed

1024
00:56:05,800 --> 00:56:09,320
Speaker 1: as a Nazi. But then the problem is that there's like,

1025
00:56:09,440 --> 00:56:12,160
Speaker 1: this is the exact wrong time to be making that joke,

1026
00:56:12,200 --> 00:56:14,719
Speaker 1: because a lot of Nazis are on board. To the

1027
00:56:14,800 --> 00:56:17,320
Speaker 1: point that Beauty Pie was mentioned, I think in the

1028
00:56:17,400 --> 00:56:20,399
Speaker 1: manifesto of the New Zealand, I think before the live

1029
00:56:20,480 --> 00:56:23,279
Speaker 1: stream of that the fucking massacre. He said some ship

1030
00:56:23,400 --> 00:56:26,000
Speaker 1: like subscribe subscribe to put Pie, which is like, what

1031
00:56:26,320 --> 00:56:28,839
Speaker 1: that's something like don't even want to like get near

1032
00:56:28,880 --> 00:56:33,279
Speaker 1: this ship. Yeah, no, it's weird, but you're kind of

1033
00:56:33,320 --> 00:56:36,320
Speaker 1: seeing it all over the place, so yeah, well, okay,

1034
00:56:36,440 --> 00:56:42,640
Speaker 1: cool part of international white supremacist right lord edge lord

1035
00:56:42,840 --> 00:56:45,160
Speaker 1: who walks the line and has like but even if

1036
00:56:45,200 --> 00:56:47,680
Speaker 1: you walk the line, you're winking at That's what I'm saying,

1037
00:56:49,120 --> 00:56:51,600
Speaker 1: enabling it. Yeah, that's not a thing to joke with,

1038
00:56:52,320 --> 00:56:55,480
Speaker 1: and it's not comedy, right, just you're just doing just

1039
00:56:55,680 --> 00:56:58,600
Speaker 1: really stupid ship to try and arouse some kind of

1040
00:56:58,640 --> 00:57:02,600
Speaker 1: reaction out of people without any thought into it. It's reckless. No,

1041
00:57:03,080 --> 00:57:06,880
Speaker 1: I'm acting racist, but it's funny because I'm not actually racist.

1042
00:57:07,480 --> 00:57:12,800
Speaker 1: My own mind racist. Well, Jenna, it has been a pleasure, haven't.

1043
00:57:14,840 --> 00:57:18,040
Speaker 1: What are you talking about? Of course? Where can people

1044
00:57:18,160 --> 00:57:21,040
Speaker 1: find you? I have a show on adults Home called

1045
00:57:21,080 --> 00:57:23,440
Speaker 1: soft Focus. Hopefully we'll get to do more. And then

1046
00:57:23,480 --> 00:57:26,800
Speaker 1: I'm on Twitter and I have a live show that

1047
00:57:26,840 --> 00:57:29,520
Speaker 1: I'm going to be doing in the Edinburgh Fringe called

1048
00:57:29,840 --> 00:57:35,240
Speaker 1: Edinburgh Fringe called Miscarriage of Justice? Carriage of Justice? Um,

1049
00:57:35,840 --> 00:57:40,959
Speaker 1: how's that spelled? Like? It should be? Like the words?

1050
00:57:43,280 --> 00:57:47,160
Speaker 1: And is there a tweet you've been enjoying? Oh? You know,

1051
00:57:47,240 --> 00:57:50,600
Speaker 1: Stephen Colbert had a really funny tweet about Um, it

1052
00:57:50,760 --> 00:57:53,360
Speaker 1: was very It just was a very funny. Turns out

1053
00:57:53,440 --> 00:57:55,880
Speaker 1: the real collusion was all the friends we made along

1054
00:57:55,920 --> 00:57:59,560
Speaker 1: the way. Just that made me laugh. Nothing makes me

1055
00:57:59,680 --> 00:58:03,840
Speaker 1: laugh anymore. Yeah, Miles, where can people find find me?

1056
00:58:03,920 --> 00:58:06,600
Speaker 1: On Twitter? Instagram at Miles of Gray a tweet I

1057
00:58:06,680 --> 00:58:10,280
Speaker 1: like he's from Amy Miller at Amy Miller. She's been

1058
00:58:10,280 --> 00:58:12,560
Speaker 1: in Portland, so she's had a lot of Portland's Bass

1059
00:58:12,640 --> 00:58:16,480
Speaker 1: tweets and this one is regular bartender open or closed

1060
00:58:16,840 --> 00:58:20,040
Speaker 1: Portland's Bartender. Okay cool? So yeah, did you want to

1061
00:58:20,120 --> 00:58:22,200
Speaker 1: like pay with cash or keep a card with me?

1062
00:58:22,320 --> 00:58:24,120
Speaker 1: And I'll give it right back or like, what are

1063
00:58:24,160 --> 00:58:25,920
Speaker 1: you feeling right now? Oh? Shoot, I'll be right back.

1064
00:58:26,000 --> 00:58:30,560
Speaker 1: My friend is here. What's up, Trevor. You can find

1065
00:58:30,600 --> 00:58:33,360
Speaker 1: me on Twitter. Check undersquirrel Brian. I like to tweet

1066
00:58:33,400 --> 00:58:36,720
Speaker 1: from Nick Wiger. He tweeted a picture of a free

1067
00:58:36,760 --> 00:58:39,440
Speaker 1: blooming onion that he won at a Lakers game and

1068
00:58:39,440 --> 00:58:42,440
Speaker 1: he said biggest win of the season. Uh. And then

1069
00:58:42,720 --> 00:58:46,160
Speaker 1: Trayvon Free somebody tweeted a picture of the Trump fan

1070
00:58:46,320 --> 00:58:49,400
Speaker 1: like the new Trump family photo that looks like a

1071
00:58:49,480 --> 00:58:54,640
Speaker 1: reality show like publicity still and they said name this

1072
00:58:54,760 --> 00:58:58,640
Speaker 1: new reality show and Trayvon Pret wrote the amazing racist U,

1073
00:58:59,000 --> 00:59:02,240
Speaker 1: which was good. You can find us on Twitter at

1074
00:59:02,320 --> 00:59:04,000
Speaker 1: daily z E guys were at the Daily Zy Guys

1075
00:59:04,080 --> 00:59:06,160
Speaker 1: on Instagram. We have Facebook fan page on the website

1076
00:59:06,240 --> 00:59:08,560
Speaker 1: Daily I Guess dot com where we post our episodes

1077
00:59:08,640 --> 00:59:11,440
Speaker 1: and our Footnope. We link off to the information that

1078
00:59:11,440 --> 00:59:14,360
Speaker 1: we talked about today's episode, as well as the song

1079
00:59:14,680 --> 00:59:17,400
Speaker 1: we ride out on Miles the Seconds. One is from

1080
00:59:18,160 --> 00:59:22,000
Speaker 1: man from South London, Paul White. Uh. He's like a producer,

1081
00:59:22,720 --> 00:59:25,160
Speaker 1: but it's been putting out some some solo stuff that's

1082
00:59:25,160 --> 00:59:28,040
Speaker 1: really good. This song is called Returning Some Nice you know,

1083
00:59:28,160 --> 00:59:30,880
Speaker 1: little trippy guitar, some beat in there. It's it's a

1084
00:59:30,960 --> 00:59:34,440
Speaker 1: really I like it psychedelic and should we say r

1085
00:59:34,520 --> 00:59:38,120
Speaker 1: I p oh yeah, God damn. And then over the weekend, Yeah,

1086
00:59:38,240 --> 00:59:44,480
Speaker 1: Nipsey Hustle uh man l a legendary rapper, was shot

1087
00:59:44,560 --> 00:59:47,000
Speaker 1: and just killed in broad daylight outside of his store

1088
00:59:47,040 --> 00:59:50,240
Speaker 1: in Hyde Park. Um and it's a shame, man. He

1089
00:59:50,360 --> 00:59:52,800
Speaker 1: was just a I had the opportunity to work with

1090
00:59:52,840 --> 00:59:54,680
Speaker 1: him a couple of times, not like very closely, but

1091
00:59:55,000 --> 00:59:57,520
Speaker 1: to have a few interactions with him. A very good

1092
00:59:57,600 --> 01:00:00,880
Speaker 1: person and was doing a lot uh in the neighborhood.

1093
01:00:00,920 --> 01:00:02,840
Speaker 1: He grew up into try and help people, like really

1094
01:00:03,000 --> 01:00:07,080
Speaker 1: really reinvesting in his community. Uh So it's very h

1095
01:00:07,480 --> 01:00:10,000
Speaker 1: l A lost somebody very important. I mean, I think

1096
01:00:10,080 --> 01:00:12,600
Speaker 1: hip hop and just the people in general. I lost today,

1097
01:00:12,920 --> 01:00:16,760
Speaker 1: very very important person. So it's always the people who

1098
01:00:16,800 --> 01:00:19,840
Speaker 1: are doing good somehow that stuff like that. So rest

1099
01:00:19,960 --> 01:00:23,320
Speaker 1: in peace, Nipsey. All right, we are going to ride

1100
01:00:23,320 --> 01:00:25,960
Speaker 1: out on that. We will be back tomorrow because it

1101
01:00:26,080 --> 01:00:27,720
Speaker 1: is a daily podcast. I want to talk to you

1102
01:00:27,800 --> 01:00:39,640
Speaker 1: guys on BA