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Speaker 1: Hello the Internet, and welcome to season forty five, episode

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Speaker 1: three of The Daily. Like guys for Wednesday, I'll get

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Speaker 1: point second two thousand eight team and names Jack O'Brien,

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Speaker 1: A kay touch me on me back? She say on?

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Speaker 1: Mr row Who Bryan h. And I'm thrilled to be

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Speaker 1: joined as always by my co host, Mr Miles Gray,

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Speaker 1: The Mouth, the Grade, the Daily. My name is anyway?

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Speaker 1: That is from Noel Berlage and Berlage at end Berlage

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Speaker 1: on Twitter. I think that one is from kid Rock. Yeah,

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Speaker 1: Am I right? I think you might be Okay, great,

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Speaker 1: let's start this off right. I can't find the name

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Speaker 1: of the person who gave me that, and I don't

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Speaker 1: think they'd want me to shout them out because of

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Speaker 1: my rendition. I am no shaggy. We are thrilled to

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Speaker 1: be joined in their third seat by the very funny writer, comedian, producer,

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Speaker 1: and co host The Guilty Pleasure Podcast. Please welcome Jackie

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Speaker 1: Ray Oh Belle. Thanks guys, thanks so much. We're having me.

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Speaker 1: It's so it's like to be here. Thank you for

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Speaker 1: appearing before us, No problem. Yes, we're going to get

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Speaker 1: to know you a little bit better. In a moment

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Speaker 1: But first we're gonna tell our listeners what they're in

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Speaker 1: store for. Uh, We've got breaking news that Cohen flipped

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Speaker 1: Trump's body man for twenty years. We're not really going

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Speaker 1: to talk too much about it because we just know

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Speaker 1: that he flipped. We don't know too many details, but uh, yeah,

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Speaker 1: that's happening. He's cooperating. We're going to check in with

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Speaker 1: the b m A S see how that went, find

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Speaker 1: out why they should have made me feel older than

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Speaker 1: they did. It didn't makes me feel that old. We're

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Speaker 1: gonna talk about Trump's coke problem. We are going to

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Speaker 1: talk about the TOW andn cult and how they're not

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Speaker 1: really dealing very well. Well they are, they got a plan, right,

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Speaker 1: they got Uh. We're gonna talk about Russia attempting to

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Speaker 1: hack right wing think tanks and Microsoft coming out with

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Speaker 1: that news. We're gonna talk about Ice deporting actual Nazis

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Speaker 1: Attica the sequel. But for Jackie, we like to ask

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Speaker 1: our guest, what is something from your search history that's

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Speaker 1: revealing about who you are? Oh? Sure? So last week

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Speaker 1: I was at an event at the Ace Hotel in

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Speaker 1: downtown l A. Have you guys ever been to any

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Speaker 1: of these Old Broadway theaters in downtown l A. I've

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Speaker 1: been to the Ace, the Ace, so it's super cool.

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Speaker 1: It's like really like gothic and like really cool. There's

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Speaker 1: cool architecture. It's really fun. Put on my Instagram stories

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Speaker 1: hashtag architecture porn. My story got like thousands of views. So,

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Speaker 1: but the menut I was there, I was like, Okay,

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Speaker 1: this place has got to be haunted, Like there's a

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Speaker 1: ghost somewhere everywhere in downtown. So throughout the entire event,

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Speaker 1: I was googling Ace Hotel haunted, Ace Theater haunted. Could

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Speaker 1: not find anything really surprisingly not haunted. How do you know?

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Speaker 1: I I googled for a solid googled, But what did

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Speaker 1: your ghost hunting intuition tell you when you were in

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Speaker 1: the space. Honestly, the devices that I take with me

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Speaker 1: all the time, you know, those two the E F

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Speaker 1: P VIA the twing that the you were just drag

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Speaker 1: them over me and mind kept interesting, kept insisting we

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Speaker 1: were ghosts exactly. But you guys, you know, you go

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Speaker 1: through the wall and then you guys were solid, so

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Speaker 1: your story checks out. You're actually physical human beings. Um,

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Speaker 1: I don't know. I felt like it was haunted and

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Speaker 1: I feel like there hasn't been accurate reporting done on

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Speaker 1: the hauntedness of the Ace Theater slash hotel. That was

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Speaker 1: one thing from there are haunted hotels downtown though, right

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Speaker 1: that people. Yes, there's one where there was a woman's

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Speaker 1: body who was found in the water tank after like

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Speaker 1: two weeks or something. Yeah, that was wild too, wasn't

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Speaker 1: that where they had footage of her like wandering around too,

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Speaker 1: Like she got off the elevator Like turned out it

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Speaker 1: was bipolar disorder is what they think happened. She's just

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Speaker 1: you know, mentally ill, So it wasn't as crazy as

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Speaker 1: it looked at first. We researched this back in the

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Speaker 1: day at correct but um, but it's still a weird

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Speaker 1: story because they don't totally know how she got into

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Speaker 1: the exactly. Jack, So is it that cutting dry? So

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Speaker 1: maybe not? But yeah, the footage is are at first

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Speaker 1: because she's like jumps on the elevator and is like

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Speaker 1: looking out like someone's following her. Uh yeah, So I

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Speaker 1: don't know, And who knows. Maybe mentally ill people are

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Speaker 1: more in touch with ghosts, you know. Maybe if not ghosts,

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Speaker 1: there are also many bed bugs downtown, so I will

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Speaker 1: consider those a form of ghosts because they will follow

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Speaker 1: you home and ruin your home. The cockroaches downtown are vicious, Yeah,

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Speaker 1: they are. One actually learned how to use a knife

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Speaker 1: and Robbie knife. That's why I only have one shoe

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Speaker 1: on today. You were not speaking from personal experience on

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Speaker 1: the bed bug thing, just for the sake of your

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Speaker 1: property value, right, Uh? No, yes, you're right. I do

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Speaker 1: not have bed bugs and fighting that problem for I

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Speaker 1: wear this hefty bag around my body just you know,

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Speaker 1: a sweatsuit going to the beach soon. Yeah. And all

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Speaker 1: those spots of blood that appear on your clothing nothing

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Speaker 1: to do with that. That's I'm just doing like a

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Speaker 1: Yayoi Kusama sort of type of paint experiment art piece. Yes,

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Speaker 1: on my body. We can all tell, uh, Jackie, what

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Speaker 1: is something you think is underrated? Underrated? Being vulnerable? Yeah? Yeah,

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Speaker 1: I think that people should be more vulnerable when they're

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Speaker 1: feeling scared or anxious and be like I need a hug.

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Speaker 1: I Like, we're so focused on putting on this hard exterior,

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Speaker 1: tough exterior that we don't need anyone's help. And I

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Speaker 1: think that the world would be a better place if

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Speaker 1: we all just admitted when we did need some help. Yeah,

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Speaker 1: but like what if you're like mean, you just don't

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Speaker 1: need help for anyone because you're always just totally everything.

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Speaker 1: That's a really interesting point because I've never been wrong

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Speaker 1: in that way. That's well, No, I think I don't

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Speaker 1: want to talk over your point, though, because it is

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Speaker 1: such a good point. I do think, like America in particular,

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Speaker 1: in the Western cultures in particular, a lot of the

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Speaker 1: diseases that we suffer from, like addiction and depression and

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Speaker 1: all these different things, are specifically diseases that like cultures

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Speaker 1: where people are more socially integrated don't struggle with as

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Speaker 1: much because they're all about like kind of closing up

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Speaker 1: and like keeping secrets from people and not like, you know,

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Speaker 1: integrating with the people around you, not being able to

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Speaker 1: ask for help not like yeah, oh definitely, And I

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Speaker 1: think it prevents us from getting into deeper relationships because

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Speaker 1: we're always trying to put on this front that we

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Speaker 1: are actually way more cool, or we're acting what we

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Speaker 1: think is cool than we actually are. Right, Sometimes we

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Speaker 1: don't need to be right, We just need to be loved. Yeah,

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Speaker 1: And we can just say I don't even need to

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Speaker 1: win this argument. What I think I just need to say,

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Speaker 1: hug and in the case of you two, which you

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Speaker 1: guys are never wrong, just being vulnerable will make people

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Speaker 1: more comfortable around you, exactly. And you know that's why

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Speaker 1: I still haven't sold my movie pass stock, because the

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Speaker 1: truth will emerge. We're going to be so rich man, Dude,

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Speaker 1: you're already I've already. I've already picked out the Lambo

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Speaker 1: I want and bought it, so bookmarks tab that's why

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Speaker 1: I'm parking it, uh here at works so it's not

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Speaker 1: attached to the registration address anyway. But yeah, we're doing fine. Hey,

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Speaker 1: would you rather be right or would you rather be happy?

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Speaker 1: I can't pick both one or the other? Am I right?

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Speaker 1: Welcome to my self help group. What is something, Jackie

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Speaker 1: that you think is overrated? Oh? The Korean face masks.

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Speaker 1: It just feels like there's a wet paper towel on

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Speaker 1: my face. It doesn't stay, and it like kind of

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Speaker 1: makes my face staying a little bit. And I just

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Speaker 1: don't think they do what they're promising that they do.

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Speaker 1: What's your secret? You have very clear skin? What are

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Speaker 1: you doing? Baths for an hour? I fill up my

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Speaker 1: tub with mayonnaise, and I just roll around in it

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Speaker 1: and I stay in there for a whole hour. No,

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Speaker 1: I do a bunch of skincare. That's all for preventing.

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Speaker 1: So for you, it's just more that it's it seems

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Speaker 1: more like it's popular just because of like the visuals

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Speaker 1: of wearing the mask than like the actual benefits in

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Speaker 1: terms of a dermatological sense. Yes, and also this may

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Speaker 1: very well be wrong, but I think they're way too

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Speaker 1: cheap to be effective. Like you can get them at right.

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Speaker 1: It for like to and it's like it's not going

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Speaker 1: to do anything for my face, Like I need the

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Speaker 1: skin mask, but it's royal. Yeah, we do need a

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Speaker 1: slasher film made with somebody who's wearing one of those.

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Speaker 1: When it works, the mask would fall off the entire time.

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Speaker 1: That would be part of their magical power is that

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Speaker 1: it just stays on somehow. That's what's so scared. It's like, wait,

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Speaker 1: how are you keeping that on your face as they

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Speaker 1: like lean over you to kill you. That's a great pitch. Yeah,

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Speaker 1: what do you want to call it? Korean beauty masks? Killer?

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Speaker 1: But my wife wears those and it is the most

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Speaker 1: scared I've ever been, Like by someone just like you

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Speaker 1: look up and like she doesn't like tell me when

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Speaker 1: she's about to put one on, so I just like

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Speaker 1: turn around and it's a really scared like people should

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Speaker 1: google image search it too. You're just suddenly faced by

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Speaker 1: it's like a blank mask. Like it totally there's no face,

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Speaker 1: no no face, like unexpressive. It's got like a Michael

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Speaker 1: Myers vibe. Yeah, because it doesn't unlike other face masks

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Speaker 1: if you put them on, like the cream ones, like

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Speaker 1: it gets the contours of your face, you can see

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Speaker 1: the face behind that. But the Korean skincare mask, it's

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Speaker 1: just a big circle to I'm surprised people haven't tried

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Speaker 1: to rob banks with them yet. They should. Yeah, and

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Speaker 1: our remakeup point break and it will be what we want.

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Speaker 1: But it's the graphic ones that I'll be the panda

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Speaker 1: face right and you can be the like shogun helmet.

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Speaker 1: I think they should just all have some graphic on

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Speaker 1: them to make them less scary. Yes, yeah, that's good.

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Speaker 1: I haven't seen the graphic ones. But if we do that,

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Speaker 1: then they'll know when they look for the suspects, they're

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Speaker 1: like they're going to have impossibly flawless skin right. I

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Speaker 1: mean the proof is in the pudding, Jackie. What is

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Speaker 1: a myth with something people think it is true that

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Speaker 1: you know to be false. Um, this is gonna be

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Speaker 1: I do know this to be false, and I know

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Speaker 1: a lot of people aren't gonna believe me when I

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Speaker 1: say this, but um, that Facebook isn't listening to you

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Speaker 1: through your phone microphone, and I know this to be true.

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Speaker 1: You know they are. I know they're not. You know

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Speaker 1: they're not. I know they're not. And a lot of

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Speaker 1: my knowledge comes from this one podcast that I like

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Speaker 1: a lot, called reply All on Gimlet Media. But also

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Speaker 1: I do social media for like brands and entertainment stuff

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Speaker 1: as well. Um, and I just have access into the

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Speaker 1: Facebook page in demographics world and like all the Facebook's tricks.

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Speaker 1: So like if you're hanging out with your friend and

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Speaker 1: you're talking about like, I don't know blue Apron, and

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Speaker 1: then you're like, I never googled it, and then I

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Speaker 1: went on Facebook and I got an ad for blue

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Speaker 1: Apron and then you're like freak out about it. It

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Speaker 1: could be because your friends with that friend that you

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Speaker 1: talked about it with and Facebook's off. The two of

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Speaker 1: you guys were together and they were just googling blue Apron.

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Speaker 1: So like Facebook is serving you up an add because

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Speaker 1: they saw that you were like geo tagged with your friend.

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Speaker 1: Does that make sense? Yeah, No, that totally makes sense.

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Speaker 1: I mean when I noticed it. It's usually on Instagram,

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Speaker 1: and it's like within minutes of me actually being on

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Speaker 1: a page for said service or product or something where

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Speaker 1: I'll look at a travel site or something, and then

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Speaker 1: suddenly it shows up on my Instagram for you gotta

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Speaker 1: clear your cash, you gotta clear your cookies. Sometimes it

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Speaker 1: helps me, it helps remind me I like, oh shit,

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Speaker 1: I was interested in a lawnmower. I don't mind a cookie. Yeah,

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Speaker 1: because exactly like sometimes a jumpsuit. I like, well, like

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Speaker 1: follow me on the internet and I'm like, you know what,

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Speaker 1: I really want that jump And that's fine because now

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Speaker 1: I get a little treat. But I mean, just clear

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Speaker 1: cash and you know, keep moving, keep it moving. That's

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Speaker 1: interesting though, because it suggests that like Facebook has access

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Speaker 1: to how ideas move in like groups, like you know

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Speaker 1: how when you hear a word for the first time

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Speaker 1: and then suddenly you hear it like three more times

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Speaker 1: in the next couple of days. But does that happen

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Speaker 1: anybody else. Yeah, yeah, exactly, Like I had never heard

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Speaker 1: e D used all that much, and then like and

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Speaker 1: then suddenly I got to know Miles and it was

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Speaker 1: like all over the place. No, but it is, I know, No,

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Speaker 1: when you're talking talking about other people, I know. But

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Speaker 1: I do wonder how much of that is just like

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Speaker 1: social contagion and like ideas or like you know, people

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Speaker 1: like you and you're a group of friends are like

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Speaker 1: suddenly getting onto an idea even though you're not like

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Speaker 1: hearing it from one another necessarily. Well, that's true. I

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Speaker 1: think it's a lot that the algorithms serve you up

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Speaker 1: that your friends are also looking at. So they'll look

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Speaker 1: to see at what rate are you interacting with this person?

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Speaker 1: And they also have data Facebook as data from Facebook,

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Speaker 1: Messenger and Instagram, so like all that data goes together

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Speaker 1: and they just yeah, it's crazy. So Facebook is no

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Speaker 1: less powerful than we thought. It's just not doing it

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Speaker 1: the way that you thought. Actually knows everything about what

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Speaker 1: you were about to think of tomorrow. It already knows that.

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Speaker 1: It just knows it in a different way and it

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Speaker 1: doesn't have to listen to you. But it's also very

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Speaker 1: funny that people complain about it listening to them and

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Speaker 1: then they have like Amazon echoes in their house and

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Speaker 1: I'm just like, um, yeah, Amazon Echo was used in

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Speaker 1: a murder trial because people were talking about it and

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Speaker 1: like the Amazon was listening and the police were able

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Speaker 1: to just get those records. I think we should pull

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Speaker 1: that Amazon Echo into your sheet mask murder pitch. Now

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Speaker 1: we have a film, the most millennial weird thing. It's

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Speaker 1: wrecking Amazon Echo. The killer's name is as Alexa. Fantastic.

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Speaker 1: All right, Zi gang, I know that people with the

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Speaker 1: photoshop skills always do that. Show me the Alexa wearing

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Speaker 1: the sheet mask with a knife in hand. Alright, guys,

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Speaker 1: there's a couple of breaking news stories that are happening.

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Speaker 1: Like we mentioned, Cohen is apparently cooperating with the district attorney. So,

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Speaker 1: I mean, this has been Trump's guy for years. He

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Speaker 1: knows where the bodies are buried. We won't know necessarily

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Speaker 1: what the implications are of this, other than that it's

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Speaker 1: just probably very bad for the president. Well let's let's

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Speaker 1: just we'll see what his Twitter looks like later today

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Speaker 1: and we'll know how when well, I mean even last

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Speaker 1: night he was like I can control the Mueller probe

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Speaker 1: if I want you who told you that? Is that

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Speaker 1: what they're telling you to get you to shut up

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Speaker 1: in the White House is like, you know, don't worry,

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Speaker 1: Mr President, you can actually do whatever you want. And

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Speaker 1: they're like, okay, great, and then yeah, he's plea he's yeah,

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Speaker 1: entered a plea deal for like all of his you

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Speaker 1: know fraud that was coming through his taxi companies and

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Speaker 1: things like that, over twenty million dollars in fraud. So

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Speaker 1: you know he'll plead guilty to that and see where

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Speaker 1: that goes. How the fun Like these guys just have

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Speaker 1: their incompetent and they get so much money. It really

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Speaker 1: makes white color crime look very attractive to me. Remember,

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Speaker 1: like Dan rather, we're just calling this crime. Crimes are crime.

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Speaker 1: Criminals are criminals. It's just because they're doing like cool

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Speaker 1: like rich white guy crime, right, you know what I mean.

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Speaker 1: It's like, yeah, just steal money, but like without using

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Speaker 1: guns or knives, just shoddy paperwork. But they're not very

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Speaker 1: good at it, you know, because I think the system

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Speaker 1: has been such where like it's like we don't worry

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Speaker 1: about them, Let's focus on you know, drug addicts and

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Speaker 1: other people who we can really be like, oh, if

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Speaker 1: this guy is bad and get him away, rather than

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Speaker 1: people who are like just siphoning money out of you know,

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Speaker 1: banks or you know our tax structure, whatever, you know,

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Speaker 1: take take your take your pick. I'm curious to see

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Speaker 1: what Cohen flipping will actually do. I'm like at this

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Speaker 1: point right now with the President where I'm like, I

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Speaker 1: don't think anything matters not. I think everyone kind of is.

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Speaker 1: I think I'm in the same boat as like, I'll

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Speaker 1: believe it when I see it. In the beginning, I

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Speaker 1: remember the presidency was like man, thank god, Oh he's fucked.

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Speaker 1: Oh man, you're going down now. No, I mean again,

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Speaker 1: unless he's like part of his cooperation with Robert Muller

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Speaker 1: is something where he's like, Okay, here's this thing that

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Speaker 1: you need that puts it all together. But but but

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Speaker 1: like it just seems so just like I'm not able

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Speaker 1: to grasp it, you know, and it's like kind of

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Speaker 1: like just trying to hold onto smoke. I don't know

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Speaker 1: what's going to happen, and it makes me scared, I

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Speaker 1: mean vulnerable. Well, you know, as as long as if look,

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Speaker 1: if the Democrats can take the House and my goodness,

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Speaker 1: if they could take the Senate to in November. That

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Speaker 1: definitely that actually bolsters the check on his power a

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Speaker 1: a lot more than it used to. That's true. But

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Speaker 1: I think you're right that people assume that Cohen is

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Speaker 1: actually knows where literal bodies are buried, and there's going

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Speaker 1: to be this big reveal of a secret that gets

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Speaker 1: Trump and you know, Colombo style at the end of

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Speaker 1: the Matlock episode and one, yeah, Trump is Trump is

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Speaker 1: going to get fingered for like a thing that we

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Speaker 1: didn't know about. And it's like, no, he's committing all

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Speaker 1: the crimes out in the open, guys. It's just he's

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Speaker 1: going to confirm what we already know. And then you know,

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Speaker 1: it'll be a technicality of whether they're able to blame

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Speaker 1: him for it or not. The other breaking news story,

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Speaker 1: which is very sad, obviously, is that the body of

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Speaker 1: that Iowa jogger was found in Iowa. Uh and we

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Speaker 1: don't know much about it, but that is the number

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Speaker 1: one trending search on Google. So you know, as a

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Speaker 1: reporter on the zeitgeist, that is something that is in

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Speaker 1: the zeitgeist and having googled it for you, there's not

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Speaker 1: much that we know about it, what happened. I'm not

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Speaker 1: familiar with this at all. She just disappeared and we

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Speaker 1: don't know anything really, And I think that's why it's

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Speaker 1: such a kind of intriguing story to people, is that,

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Speaker 1: you know, she was just a random college student, went

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Speaker 1: for a jug, disappeared, and it seems like everybody around

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Speaker 1: her is just as confused as you would be if

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Speaker 1: it happened to anyone, you know. Uh. And then moving

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Speaker 1: on to the v M A s which everyone was

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Speaker 1: talking think about yesterday. Uh, So these happened. I was

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Speaker 1: watching them out of the corner of my eye. That's

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Speaker 1: essentially my report. These happened. So I felt like I

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Speaker 1: was going to be I'm like, all right, this is

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Speaker 1: gonna make me feel very old. It did not. The

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Speaker 1: Backstreet Boys showed up. During the pre show. J Lo

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Speaker 1: performed for approximately forty five minutes because she was receiving

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Speaker 1: a Video Vanguard Award, and then she gave a speech

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Speaker 1: for what seemed like a half hour where she was

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Speaker 1: just pointing to people in the audience to me like, Dave,

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Speaker 1: stand up, Dave, you always believed in me, Thank you, Steve,

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Speaker 1: you always believed in me. Thank you Steve. It was

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Speaker 1: just Dave. It was just yeah, that's the thing. It

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Speaker 1: was like names Steve. It was like industry people that

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Speaker 1: I'm sure like you might have heard of, but like me,

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Speaker 1: as somebody who doesn't Dave in the industry, there's only

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Speaker 1: one Dave. Let's be real. There was a moment where

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Speaker 1: it seemed like it might be like they teased this

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Speaker 1: post Malone performance of rock Star and it started out

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Speaker 1: like a performance of that song, and then suddenly they

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Speaker 1: were like and now please welcome Aerosmith, and Aerosmith came

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Speaker 1: in and started playing dream On, and post Malone just

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Speaker 1: like played guitar in the background while Aerosmith played dream On.

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Speaker 1: So it's almost like Aerosmith Smith performed. Yeah, as like

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Speaker 1: the big moment of the thing, Like because I remember

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Speaker 1: there was that Super Bowl show where Aerosmith came in

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Speaker 1: and like did walk this way right? The fu is Aerosmith? Yeah,

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Speaker 1: and Yo, get the funk out of here. I know,

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Speaker 1: but that end, post Malone was hold on like really amazed. Wait,

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Speaker 1: I can't handle this fucking Aerosmith. Yes, Wow, I thought

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Speaker 1: it was a joke. He's like yeah, Backstley Boys, j

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Speaker 1: love fucking Aerosmith, I mean no, I mean, you know,

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Speaker 1: Aerosmith is cool or whatever, but like, yo, the v

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Speaker 1: m as are well, they did like two minutes of

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Speaker 1: the song that people like right now, and then we're

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Speaker 1: like and now Ira Smith, Ladies and Gentlemen is like.

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Speaker 1: Which it's interesting because a lot of people say that

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Speaker 1: the reason that nobody buys tickets for new artists and

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Speaker 1: everybody like still the best selling artists when they go

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Speaker 1: on tours or like the Rolling Stones and all these

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Speaker 1: old artists that were around during the eighties is because

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Speaker 1: MTV stopped playing music a certain amount of time ago,

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Speaker 1: and it's like all the artists who were around back

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Speaker 1: when people watch music videos and we're like identifying with

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Speaker 1: artists and like could like identify a face with a

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Speaker 1: name more that that is when MTV and the music

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Speaker 1: industry had the power to get people out to shows.

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Speaker 1: So maybe this is MTV sort of acknowledging like, yeah,

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Speaker 1: we don't really have anything new that we like or

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Speaker 1: that like we we think people are gonna like. So

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Speaker 1: that's true because I don't know what anybody looks like anymore.

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Speaker 1: I just know, like with rappers, I'm like, which face

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Speaker 1: tattoo guys right. So yeah, they they clearly are not

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Speaker 1: confident in new music because they just kept throwing out

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Speaker 1: all these people from back in the day. And the

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Speaker 1: climax of that was when Madonna came out to It

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Speaker 1: was presented like a tribute to Aretha Franklin. There was

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Speaker 1: a big photograph in the background projector of Aretha Franklin.

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Speaker 1: Madonna walked out looking like she had a bunch of

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Speaker 1: stuff from the movie District Nine glued to her face

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Speaker 1: and torso it was like a very it looked like

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Speaker 1: she was was about to do some sort of religious

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Speaker 1: rituals the world from the universe of that movie. Yeah,

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Speaker 1: very shamanesque, like trash shaman, like literal garbage shaman like

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Speaker 1: she went and created shaman, very a Moroccan vibe. Yeah,

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Speaker 1: I was a little bit like, really that's but yeah,

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Speaker 1: I was fine with it. She's Madonna, she you know,

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Speaker 1: does her her thing. But so then she got up

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Speaker 1: and told a story that tangentially related to Aretha Franklin.

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Speaker 1: Um that basically the story was nobody believed in her Madonna,

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Speaker 1: and then she went to try out for a bunch

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Speaker 1: of things and people wouldn't give her a job. She

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Speaker 1: moved from Detroit, which is where Aretha Franklin is also from,

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Speaker 1: so that was not right that or Motown, you know.

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Speaker 1: And then at one of her tryouts where she didn't

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Speaker 1: get a thing, she sang Natural Woman by Aretha Franklin.

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Speaker 1: She didn't get a call back from that, but the

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Speaker 1: French producer who was there later called her and told

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Speaker 1: her she wasn't right for the part, but that they

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Speaker 1: wanted to make her into a star. And this anecdote,

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Speaker 1: by the way, allowed her to show off her killer

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Speaker 1: French accent, like this was clearly a famous person who's

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Speaker 1: been famous for so long that whatever she says people

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Speaker 1: are just like, that's fascinating. So she was telling this

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Speaker 1: like aimless, fucking story that has no point and the tangentially,

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Speaker 1: so she literally says at the end, so why am

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Speaker 1: I telling you this rambling story? Because if Aretha Franklin

425
00:22:11,560 --> 00:22:16,080
Speaker 1: hadn't been, you know, a small, basically arbitrary part of

426
00:22:16,119 --> 00:22:19,240
Speaker 1: my story, I technically might not have been there, although

427
00:22:19,240 --> 00:22:21,320
Speaker 1: probably I would have just sung a different song. And

428
00:22:21,359 --> 00:22:24,880
Speaker 1: who can imagine a world without me? Madonna? And then

429
00:22:24,880 --> 00:22:26,920
Speaker 1: she closed it out by talking about how her first

430
00:22:26,960 --> 00:22:29,720
Speaker 1: performance of Like a Virgin was at the v m

431
00:22:29,720 --> 00:22:33,720
Speaker 1: as and somebody again told her, like, you'll never work

432
00:22:33,760 --> 00:22:37,840
Speaker 1: in this town again, and enough said, am I right?

433
00:22:37,960 --> 00:22:41,600
Speaker 1: And in that way she honors Aretha right exactly. It

434
00:22:41,680 --> 00:22:47,920
Speaker 1: was like what it was, just like it had to

435
00:22:47,960 --> 00:22:52,480
Speaker 1: be about Madonna for most of it, and then Aretha

436
00:22:52,480 --> 00:22:54,840
Speaker 1: Franklin was trying to get in there, but she couldn't

437
00:22:54,880 --> 00:22:57,359
Speaker 1: stop talking about Madonna for long enough. And that's like

438
00:22:57,440 --> 00:23:00,280
Speaker 1: what I expected, Madonna. So it was at least stay

439
00:23:00,520 --> 00:23:02,919
Speaker 1: memorable moment. A lot a lot of the show was

440
00:23:03,000 --> 00:23:07,240
Speaker 1: just people in Sparkly Ship just you know, doing musical numbers.

441
00:23:08,000 --> 00:23:10,480
Speaker 1: Madonna then later tried to like defend it. I guess

442
00:23:10,480 --> 00:23:12,480
Speaker 1: I read it. She's like, I really wasn't trying to

443
00:23:12,520 --> 00:23:14,320
Speaker 1: do a tribute. She's like, they sent me out there

444
00:23:14,320 --> 00:23:16,399
Speaker 1: and just asked me to do an anecdote of anything

445
00:23:16,440 --> 00:23:18,840
Speaker 1: I had, and she's like, that's what I had. So

446
00:23:19,200 --> 00:23:21,680
Speaker 1: I mean in that sense, I don't I can see

447
00:23:21,760 --> 00:23:24,840
Speaker 1: why it sounded like that, but on them TV, what

448
00:23:24,880 --> 00:23:27,440
Speaker 1: are you fucking doing? Put a proper tribute together. Don't

449
00:23:27,440 --> 00:23:31,440
Speaker 1: be like, oh, sorry, Madge, you got like a tight

450
00:23:31,560 --> 00:23:34,719
Speaker 1: ninety on Wreatha, you can do yes, Well, that just

451
00:23:34,720 --> 00:23:37,320
Speaker 1: goes they don't care about music anymore. Yeah right, I mean.

452
00:23:37,359 --> 00:23:40,119
Speaker 1: And also has Madonna heard herself saying she thought she

453
00:23:40,119 --> 00:23:47,440
Speaker 1: could finesse natural woman in an audition. That is some confidence.

454
00:23:47,840 --> 00:23:50,560
Speaker 1: I had no idea the m as were the other night. Yeah,

455
00:23:51,119 --> 00:23:52,920
Speaker 1: no idea. But I'm very happy to hear that Cardi

456
00:23:52,920 --> 00:23:56,000
Speaker 1: b one best New Artist. Yeah she did. She opened

457
00:23:56,040 --> 00:23:58,720
Speaker 1: up the show by it looked like she was coming

458
00:23:58,720 --> 00:24:01,240
Speaker 1: out there and going to rest feed on camera, but

459
00:24:01,320 --> 00:24:04,680
Speaker 1: actually she was holding a v m A award. Where

460
00:24:04,720 --> 00:24:07,680
Speaker 1: the baby? Did she rest feed the award? She didn't.

461
00:24:07,960 --> 00:24:11,840
Speaker 1: The man was left. It was a real tease. But

462
00:24:12,440 --> 00:24:15,720
Speaker 1: Kevin Hart, you clearly do not pay attention to the

463
00:24:15,840 --> 00:24:20,000
Speaker 1: right wing media sphere, then, Jackie, because Kevin Hart said

464
00:24:20,200 --> 00:24:24,240
Speaker 1: a really be nine joke about the President and right

465
00:24:24,240 --> 00:24:29,919
Speaker 1: wing media lost their ship. He said that people at

466
00:24:29,920 --> 00:24:31,399
Speaker 1: the v m A is like run off to the

467
00:24:31,440 --> 00:24:35,040
Speaker 1: bathroom and angry tweet. Uh, and it's just like being

468
00:24:35,040 --> 00:24:37,280
Speaker 1: in the White House in your face. Trump, suck it.

469
00:24:37,720 --> 00:24:39,880
Speaker 1: That's the joke. That was the joke, and right wing

470
00:24:39,920 --> 00:24:44,720
Speaker 1: media lost and they were it's still on. Drudge comedian

471
00:24:44,840 --> 00:24:49,399
Speaker 1: kicks off MTV Awards by taunting President quote in your face,

472
00:24:49,440 --> 00:24:53,280
Speaker 1: Trump suck it. So I think the right wing is

473
00:24:53,320 --> 00:24:56,199
Speaker 1: just used to uh, you know, they're not relevant, but

474
00:24:56,240 --> 00:24:58,800
Speaker 1: they like pay attention to what is relevant, and they're like,

475
00:24:58,800 --> 00:25:01,159
Speaker 1: well the MTV V May's like that's a thing that

476
00:25:01,240 --> 00:25:03,560
Speaker 1: and then how do I make myself a victim of this?

477
00:25:04,119 --> 00:25:06,439
Speaker 1: And then they just find a way to you know,

478
00:25:06,520 --> 00:25:09,240
Speaker 1: they remember when Kanye came out and did the I'm

479
00:25:09,240 --> 00:25:13,080
Speaker 1: Gonna let you finish thing and that that angered conservative

480
00:25:13,080 --> 00:25:16,760
Speaker 1: white people very much because he was mean to Taylor. Well,

481
00:25:16,760 --> 00:25:18,639
Speaker 1: they wouldn't like Aretha Franklin to did you see that

482
00:25:18,640 --> 00:25:21,000
Speaker 1: cliff that was going around the weekend where someone was

483
00:25:21,040 --> 00:25:23,159
Speaker 1: interviewing her and then they're like a wreatha, tell us

484
00:25:23,200 --> 00:25:25,960
Speaker 1: your thoughts on Adele. She's like powerful singer, great voice,

485
00:25:26,440 --> 00:25:28,840
Speaker 1: and like does Alicia Keys, She's like great piano player,

486
00:25:29,200 --> 00:25:34,800
Speaker 1: great singer, blah bah blah, Taylor Swift, beautiful gowns, wonderful gowns.

487
00:25:34,840 --> 00:25:40,080
Speaker 1: And then just moved on like okay, shade queen, Oh damn,

488
00:25:40,320 --> 00:25:44,720
Speaker 1: beautiful gowns. Beautiful gowns. Um. Yeah. So the right wing

489
00:25:44,840 --> 00:25:47,840
Speaker 1: was very triggered by and friends. They had a graphic

490
00:25:47,880 --> 00:25:51,000
Speaker 1: with Kevin Hart's face and it said heart attack that

491
00:25:51,240 --> 00:25:54,400
Speaker 1: I don't even know it for was the most benign,

492
00:25:55,040 --> 00:25:58,520
Speaker 1: like inoffensive thing I've ever seen. So they were just

493
00:25:58,560 --> 00:26:01,440
Speaker 1: ready for anything. Anything. That's what they're ready for. They're

494
00:26:01,440 --> 00:26:05,320
Speaker 1: just ready to be offended. Yes, they've become the friends

495
00:26:05,320 --> 00:26:08,320
Speaker 1: you can't take out because something they're going to complain

496
00:26:08,359 --> 00:26:10,600
Speaker 1: about something he has nothing to do with them, Like,

497
00:26:12,080 --> 00:26:14,639
Speaker 1: I'll be inconsistent with my outrage, but I have to

498
00:26:14,640 --> 00:26:16,920
Speaker 1: be in a permanc I wonder if it's a strategy

499
00:26:16,920 --> 00:26:20,000
Speaker 1: to just keep them relevant on top of mind, right, Yeah,

500
00:26:20,000 --> 00:26:22,560
Speaker 1: and it's also to keep making sure that the people

501
00:26:22,560 --> 00:26:25,840
Speaker 1: who are aligned with their thinking understand what the sides

502
00:26:25,880 --> 00:26:28,800
Speaker 1: are every time, like he said this and we're not

503
00:26:29,000 --> 00:26:32,639
Speaker 1: that side. So we remember got circle the wagons because

504
00:26:32,920 --> 00:26:37,800
Speaker 1: Kevin Hart said something relevant and said suck it, you

505
00:26:37,800 --> 00:26:39,320
Speaker 1: know what I mean. And then that's how their viewers

506
00:26:39,320 --> 00:26:41,600
Speaker 1: can be like that's okay because I saw that and laughed.

507
00:26:41,600 --> 00:26:43,960
Speaker 1: But I'm I'm getting my cue from this show. Okay,

508
00:26:44,000 --> 00:26:46,200
Speaker 1: this word on a different side. We're on a different side.

509
00:26:46,600 --> 00:26:52,240
Speaker 1: He will not suck it, Kevin Hart, you suck it. Also, Jackie,

510
00:26:52,280 --> 00:26:54,440
Speaker 1: you pointed out that Pete Davidson looks like Steve Bushey.

511
00:26:54,480 --> 00:26:57,760
Speaker 1: And now I can't think of anything else. I feel

512
00:26:57,760 --> 00:27:04,760
Speaker 1: bad for I'm ship in that relationship Ariana Grande. I

513
00:27:04,760 --> 00:27:08,439
Speaker 1: think it's about time. When will she wake up? All right,

514
00:27:08,440 --> 00:27:10,240
Speaker 1: we're gonna take a quick break. We'll be right back.

515
00:27:20,480 --> 00:27:24,119
Speaker 1: And we're back. And we wanted to talk about the

516
00:27:24,119 --> 00:27:33,520
Speaker 1: president's coke problem. Oh, through the bag, can smell it

517
00:27:33,560 --> 00:27:37,160
Speaker 1: through the bag? Oh, what are you talking about? We're

518
00:27:37,160 --> 00:27:44,040
Speaker 1: talking about the president having a dependency on diet coke. Yes,

519
00:27:44,240 --> 00:27:46,560
Speaker 1: all that aspertain. We we've talked before about how to

520
00:27:46,600 --> 00:27:48,200
Speaker 1: write some of my jokes for this. I think we

521
00:27:48,280 --> 00:27:50,360
Speaker 1: talked to even yesterday about how a lot of the

522
00:27:50,520 --> 00:27:56,200
Speaker 1: artificial sweetener like a panic that happened in the eighties

523
00:27:56,400 --> 00:28:00,479
Speaker 1: was because they were feeding like in order to taken

524
00:28:00,640 --> 00:28:04,119
Speaker 1: the amount of artificial sweetener that they fed rats that

525
00:28:04,200 --> 00:28:07,000
Speaker 1: gave them cancer, you would have to eat nutral sweet

526
00:28:07,119 --> 00:28:11,840
Speaker 1: by the like wheelbarrow full. Right. So it's like, well,

527
00:28:11,960 --> 00:28:16,480
Speaker 1: nobody would ever do that except excepts is doing that?

528
00:28:16,800 --> 00:28:23,240
Speaker 1: Um So Amar Rossa and her latest book, her latest,

529
00:28:23,480 --> 00:28:26,080
Speaker 1: she has more probably read her first couple and her

530
00:28:26,160 --> 00:28:28,840
Speaker 1: latest is about her time in the White House, and

531
00:28:29,160 --> 00:28:31,640
Speaker 1: she talks about how she would put the average at

532
00:28:31,720 --> 00:28:34,600
Speaker 1: eight cans a day for the last fifteen years. In

533
00:28:34,640 --> 00:28:36,800
Speaker 1: her time knowing him, she said he never does not

534
00:28:36,920 --> 00:28:39,240
Speaker 1: have a diet coke in his hand, which totals out

535
00:28:39,280 --> 00:28:42,520
Speaker 1: to forty three eight hundred cans of diet coke that

536
00:28:42,600 --> 00:28:46,400
Speaker 1: he has poured into his body in that time. They

537
00:28:46,400 --> 00:28:50,840
Speaker 1: say that your body completely replaces it sells every seven years.

538
00:28:51,120 --> 00:28:55,040
Speaker 1: So he is mostly diet coke. I I guess at

539
00:28:55,080 --> 00:29:02,160
Speaker 1: this point, um, and then we'll again un of aspart

540
00:29:02,200 --> 00:29:05,200
Speaker 1: tame and a can. I don't care. So he's ingested

541
00:29:05,240 --> 00:29:11,680
Speaker 1: about fourteen pounds of a sparta Maya. Could you imagine

542
00:29:11,680 --> 00:29:14,440
Speaker 1: eating a fourteen pound bag of a Sparta? I can't imagine.

543
00:29:14,440 --> 00:29:16,200
Speaker 1: You just did nath in your head, Like, yeah, well,

544
00:29:16,240 --> 00:29:18,520
Speaker 1: you know, I hate to play into the stereotype, but

545
00:29:20,200 --> 00:29:25,280
Speaker 1: I am good with that calculator. Um, that's ridiculous. Yeah,

546
00:29:25,440 --> 00:29:27,400
Speaker 1: that's actually ridiculous. But I also kind of feel like

547
00:29:27,480 --> 00:29:31,440
Speaker 1: Lacroix might be killing us too. Yeah, well, what's in there? Really? Yeah,

548
00:29:31,560 --> 00:29:34,720
Speaker 1: exact from the problematic CEO. Every time I reached for

549
00:29:34,760 --> 00:29:38,400
Speaker 1: the can, I think of those pilots and I retreat.

550
00:29:38,560 --> 00:29:40,920
Speaker 1: I didn't know Lacroix is problematic. Well, the the CEO

551
00:29:41,040 --> 00:29:42,600
Speaker 1: is kind of a cookie guy. We did a story

552
00:29:42,600 --> 00:29:45,160
Speaker 1: on him. He was feeling up the pilots on his

553
00:29:45,240 --> 00:29:48,160
Speaker 1: private jet like a bunch of times, and it was

554
00:29:48,560 --> 00:29:52,120
Speaker 1: he's a very odd person. But you know, this is

555
00:29:52,160 --> 00:29:54,160
Speaker 1: neither here and there. We're talking about the president. It's fine,

556
00:29:54,160 --> 00:29:56,840
Speaker 1: it's fine, it's fine. Um, that's yeah. I don't like that,

557
00:29:56,920 --> 00:29:58,160
Speaker 1: does it? Like? Do do do you think he has like

558
00:29:58,160 --> 00:30:00,800
Speaker 1: a diet can of coke, tight can of coke and

559
00:30:00,800 --> 00:30:02,920
Speaker 1: in lieu of coffee or something like that. Oh? Yeah,

560
00:30:02,960 --> 00:30:05,040
Speaker 1: I think it's drinks. I think it's the only thing

561
00:30:05,080 --> 00:30:09,760
Speaker 1: he drinks, the only liquid that he can drink of water. Yeah,

562
00:30:09,800 --> 00:30:12,520
Speaker 1: that one. Remember he held it like a how to

563
00:30:12,560 --> 00:30:15,120
Speaker 1: hold it was like, is this going to come apart

564
00:30:15,160 --> 00:30:19,880
Speaker 1: in my hands? So he's just dehydrated? Yeah, oh for sure.

565
00:30:20,240 --> 00:30:25,840
Speaker 1: Um is he infamously does not do drugs or drink alcoholism.

566
00:30:26,280 --> 00:30:29,880
Speaker 1: That's the thing he's most known for, unless it's I mean,

567
00:30:30,040 --> 00:30:32,880
Speaker 1: unless a doctor prescribes, right, in which case we do

568
00:30:33,000 --> 00:30:35,720
Speaker 1: know that he used to see back in the eighties

569
00:30:35,720 --> 00:30:37,840
Speaker 1: and nineties, used to see a doctor who was famous

570
00:30:37,920 --> 00:30:43,880
Speaker 1: for prescribing Manhattan socialites just all all the speed in

571
00:30:43,920 --> 00:30:46,080
Speaker 1: the world. That would that would make a lot of

572
00:30:46,120 --> 00:30:49,160
Speaker 1: sense of his behavior. Also, although people are saying that

573
00:30:49,720 --> 00:30:53,040
Speaker 1: even diet coke can contribute to dementia, there have been

574
00:30:53,280 --> 00:30:56,880
Speaker 1: new studies that say that people who drink a lot

575
00:30:56,920 --> 00:31:00,280
Speaker 1: of diet coke are more likely, like five are sent

576
00:31:00,360 --> 00:31:03,960
Speaker 1: more likely to suffer from the mansion but even strokes. Yeah,

577
00:31:04,000 --> 00:31:06,680
Speaker 1: I mean, but you know those medical studies are it

578
00:31:06,760 --> 00:31:09,360
Speaker 1: wasn't saying that there was like a cause and effect relationship,

579
00:31:09,400 --> 00:31:12,000
Speaker 1: but that when they observed that group. What was the

580
00:31:12,000 --> 00:31:14,520
Speaker 1: study sponsored by like diet Pepsi or something. I mean,

581
00:31:14,560 --> 00:31:16,240
Speaker 1: I don't know about that. I think it was done

582
00:31:16,640 --> 00:31:19,840
Speaker 1: like it was actually the K's National Health Service, which

583
00:31:19,880 --> 00:31:24,240
Speaker 1: is owned by but even the UK is owned by PepsiCo.

584
00:31:24,640 --> 00:31:27,080
Speaker 1: By PepsiCo, Yeah, but I think you know, but even

585
00:31:27,120 --> 00:31:29,000
Speaker 1: then they're saying they're like, we're not trying to say

586
00:31:29,040 --> 00:31:32,800
Speaker 1: that there's a cause and effect, but we noticed this relationship.

587
00:31:33,240 --> 00:31:35,080
Speaker 1: I mean, who think that. The thing that struck out

588
00:31:35,120 --> 00:31:37,120
Speaker 1: to me was that in the Ambrosa things, she was

589
00:31:37,120 --> 00:31:39,000
Speaker 1: saying that she would have to go make the diet

590
00:31:39,080 --> 00:31:42,600
Speaker 1: coke runs, like go out to sam'l to stock the fridge.

591
00:31:43,040 --> 00:31:46,800
Speaker 1: Now if I'm not mistaken. You'd you'd imagine that in

592
00:31:46,840 --> 00:31:49,960
Speaker 1: the White House being the president, even for this asshole,

593
00:31:50,360 --> 00:31:52,760
Speaker 1: they would be like, what do you need in the

594
00:31:52,800 --> 00:31:55,320
Speaker 1: house to be like livable, you know, because not a

595
00:31:55,360 --> 00:31:57,680
Speaker 1: fucking airbnb where they're like, there's a love of bread

596
00:31:57,680 --> 00:32:00,240
Speaker 1: in there. You have that? However, like, well have it

597
00:32:00,360 --> 00:32:05,120
Speaker 1: helicoptered in from the Coke Corporation in Atlanta? Right? Yeah,

598
00:32:05,160 --> 00:32:06,680
Speaker 1: I don't know that's what That's what I was like,

599
00:32:06,960 --> 00:32:09,640
Speaker 1: Is that like a shade move to like be like, yo,

600
00:32:09,760 --> 00:32:12,360
Speaker 1: go get Mark coke at Sam's Club you work in

601
00:32:12,360 --> 00:32:15,080
Speaker 1: the oval office, or maybe he's just going through them

602
00:32:15,120 --> 00:32:18,280
Speaker 1: so quickly the staff can't keep up right like that,

603
00:32:18,360 --> 00:32:20,840
Speaker 1: we haven't coming in on pallettes. I don't understand. What

604
00:32:21,440 --> 00:32:23,400
Speaker 1: is he just taking one sip and then throwing it away?

605
00:32:23,440 --> 00:32:25,120
Speaker 1: Does he always have to have the new sip of

606
00:32:25,160 --> 00:32:27,040
Speaker 1: a camp Oh no, he has an ivy drip that

607
00:32:27,120 --> 00:32:30,760
Speaker 1: just diet coke? Lord? What does he do so? Because

608
00:32:30,760 --> 00:32:33,920
Speaker 1: that is how he consumes a lot of junk food, right, Like, no,

609
00:32:34,680 --> 00:32:37,080
Speaker 1: the like throwing most of it away and just taking

610
00:32:37,120 --> 00:32:39,800
Speaker 1: like one bite or he I feel like I don't

611
00:32:39,800 --> 00:32:42,920
Speaker 1: know for how big I think he doesn't he just

612
00:32:43,000 --> 00:32:45,080
Speaker 1: eats the topic. It's the top from one report we

613
00:32:45,160 --> 00:32:48,480
Speaker 1: read he only likes he only needs the body, the

614
00:32:48,520 --> 00:32:51,120
Speaker 1: good partly need the good part, which is the cheese.

615
00:32:51,280 --> 00:32:54,600
Speaker 1: And I can't stop getting that one image of him

616
00:32:54,640 --> 00:32:57,640
Speaker 1: climbing up the airplane, you know what I'm talking about,

617
00:32:57,640 --> 00:33:00,040
Speaker 1: where like his booty's popping. We're like the wind and

618
00:33:00,040 --> 00:33:02,640
Speaker 1: it's blowing. That's just in my mind, right talk. That's

619
00:33:02,640 --> 00:33:05,760
Speaker 1: why I'm like, that's the dude who respects the sacrifice

620
00:33:05,800 --> 00:33:08,440
Speaker 1: made for all those burgers. He's he's eating those to completion.

621
00:33:08,560 --> 00:33:10,560
Speaker 1: I feel like, so this brought up a question in

622
00:33:10,560 --> 00:33:14,000
Speaker 1: my mind because he basically eats three Big Max a

623
00:33:14,120 --> 00:33:17,800
Speaker 1: day is the estimate, like on average. But he's not

624
00:33:17,840 --> 00:33:21,680
Speaker 1: eating McDonald's every damn day, is he? He eats it

625
00:33:21,720 --> 00:33:23,600
Speaker 1: a lot. I don't think he eat whatever the fun

626
00:33:23,760 --> 00:33:28,520
Speaker 1: he wants, so, but it raised the question if they're

627
00:33:28,520 --> 00:33:32,360
Speaker 1: going to Sam's Club for diet coke, they're just going

628
00:33:32,400 --> 00:33:35,920
Speaker 1: to like an average McDonald's and it's like three guys

629
00:33:36,080 --> 00:33:39,600
Speaker 1: with like earwigs and like clearly secret service agents being

630
00:33:39,640 --> 00:33:44,360
Speaker 1: like we need five Big Max and these for you guys. Yeah,

631
00:33:44,560 --> 00:33:48,440
Speaker 1: like a teenager's probably faring farting all over it and

632
00:33:48,520 --> 00:33:51,280
Speaker 1: maybe like, like why that just seems like such a

633
00:33:51,360 --> 00:33:54,200
Speaker 1: wild security risk to be taking, Like but that's but no,

634
00:33:54,480 --> 00:33:57,760
Speaker 1: he his whole logic is they never know when I'm coming,

635
00:33:57,840 --> 00:34:00,960
Speaker 1: therefore they can't funk with my thing, and that's how

636
00:34:00,960 --> 00:34:04,640
Speaker 1: I stay safe. Yeah, that's always been the thing with him.

637
00:34:04,760 --> 00:34:07,560
Speaker 1: And because he's such a germophobe that he feels like, well,

638
00:34:07,600 --> 00:34:11,480
Speaker 1: they'll never suck me over. Maybe diet coke is an

639
00:34:11,560 --> 00:34:15,400
Speaker 1: anti venom for most poisons, and he's just drinking it

640
00:34:15,440 --> 00:34:18,200
Speaker 1: by the buttload because of that. It kills the poisons.

641
00:34:18,400 --> 00:34:20,880
Speaker 1: It's so bad for you, it actually kills all poisons.

642
00:34:21,000 --> 00:34:23,040
Speaker 1: But it also makes me think that he's definitely had

643
00:34:23,160 --> 00:34:27,799
Speaker 1: like a Sam's club like burger or hot Dog or

644
00:34:27,840 --> 00:34:29,759
Speaker 1: something like that. Just amrosa picking it up on the

645
00:34:29,760 --> 00:34:32,440
Speaker 1: way out right right, go back Costco, give me a

646
00:34:32,520 --> 00:34:36,200
Speaker 1: chicken bake. But I mean, at the same time, he's

647
00:34:36,280 --> 00:34:39,120
Speaker 1: sending people to pick up his McDonald's, Like, we don't

648
00:34:39,160 --> 00:34:41,880
Speaker 1: know if he can trust those people to not be

649
00:34:41,960 --> 00:34:44,480
Speaker 1: like this for the president man or like you know,

650
00:34:44,880 --> 00:34:47,600
Speaker 1: and also those people probably hate him because he's like

651
00:34:47,640 --> 00:34:50,040
Speaker 1: so mean to everybody. So I just have to think

652
00:34:50,040 --> 00:34:53,040
Speaker 1: he's ingesting a lot of come. But that's definitely oh yeah,

653
00:34:53,320 --> 00:34:57,440
Speaker 1: that's food. Also pick up better burger. You're the freaking president, right,

654
00:34:57,680 --> 00:35:00,600
Speaker 1: like there's other options. Yeah, we're getting mad now because

655
00:35:00,600 --> 00:35:04,880
Speaker 1: like God, still have like a fucking I mean, have

656
00:35:04,920 --> 00:35:07,640
Speaker 1: you had the Bubba's brand frozen patties? Some chips cook

657
00:35:07,760 --> 00:35:10,560
Speaker 1: all right for being frozen. Yeah, they get some birch

658
00:35:10,600 --> 00:35:14,080
Speaker 1: beer in there. Oh yeah, like booga soda. He probably

659
00:35:14,160 --> 00:35:17,120
Speaker 1: it's probably so disgusted because he's like a steak well

660
00:35:17,200 --> 00:35:21,320
Speaker 1: done with fries dude, even at a restaurant. So yeah,

661
00:35:21,560 --> 00:35:23,920
Speaker 1: I was just listening to the last podcast on the

662
00:35:24,000 --> 00:35:27,680
Speaker 1: Left about the Iceman and like how he murdered people

663
00:35:27,760 --> 00:35:31,719
Speaker 1: with poisons with what's what's the one poison that sounded

664
00:35:31,840 --> 00:35:35,239
Speaker 1: almond sinide and like it's I don't know, it's just

665
00:35:35,280 --> 00:35:39,080
Speaker 1: smells like almond. That's horrible. I love this taste like almonds.

666
00:35:39,880 --> 00:35:43,840
Speaker 1: Oh no, I know, but I just drank a whole

667
00:35:43,960 --> 00:35:49,560
Speaker 1: bottle of almond flavor. Uh, I don't know. It just

668
00:35:49,600 --> 00:35:53,920
Speaker 1: seems like he's really opening himself up and I don't know.

669
00:35:54,360 --> 00:35:57,759
Speaker 1: And also when he does die of a stroke or

670
00:35:57,880 --> 00:36:00,759
Speaker 1: like a heart attack, like, there's gonna be so conspiracy

671
00:36:00,800 --> 00:36:03,840
Speaker 1: theories because his followers tend to be the type of

672
00:36:03,840 --> 00:36:07,480
Speaker 1: people who believe in quenoa or q and on as

673
00:36:07,520 --> 00:36:12,600
Speaker 1: it's pronounced in some circles. Uh and so Miles, they

674
00:36:12,600 --> 00:36:15,600
Speaker 1: are up in arms and they have a plan. They

675
00:36:15,719 --> 00:36:18,160
Speaker 1: I mean, we've talked about the q and On conspiracy

676
00:36:18,200 --> 00:36:21,399
Speaker 1: theory if you've are somehow one of these weirdos who

677
00:36:21,400 --> 00:36:24,680
Speaker 1: missed that show. Q and On is this very sad

678
00:36:24,800 --> 00:36:28,120
Speaker 1: conspiracy theory that covers many topics, but one of them

679
00:36:28,160 --> 00:36:30,879
Speaker 1: is that there's someone with Q level security clearance who

680
00:36:30,880 --> 00:36:33,880
Speaker 1: knows what's really going on with the deep stuit. And

681
00:36:33,920 --> 00:36:35,600
Speaker 1: a lot of that conspiracy has to do with the

682
00:36:35,640 --> 00:36:38,200
Speaker 1: fact that Robert Mueller is actually not trying to being

683
00:36:38,239 --> 00:36:40,719
Speaker 1: Donald Trump down. Is that Donald Trump and Robert Mueller

684
00:36:40,760 --> 00:36:43,800
Speaker 1: are working together to bring down Barack Obama and Hillary

685
00:36:43,840 --> 00:36:47,040
Speaker 1: Clinton and the pedophile sex rings that are out here. Oh,

686
00:36:47,080 --> 00:36:48,880
Speaker 1: this was the pizza gate thing, right well, and this

687
00:36:48,960 --> 00:36:51,440
Speaker 1: is before pizza Gate, So this is this is the

688
00:36:51,440 --> 00:36:53,879
Speaker 1: new the newest thing, and it's starting to like at

689
00:36:53,880 --> 00:36:55,719
Speaker 1: his rallies, more and more people are showing up with

690
00:36:55,800 --> 00:36:58,480
Speaker 1: q T shirts and like CNN interviewed him. We have

691
00:36:58,520 --> 00:37:01,640
Speaker 1: an episode where like you could hear them basically like

692
00:37:01,640 --> 00:37:03,800
Speaker 1: like a journalist is walking them through their own ideas,

693
00:37:03,800 --> 00:37:05,879
Speaker 1: and then they're kind of like, uh, like a few

694
00:37:05,880 --> 00:37:08,480
Speaker 1: people are kind of realizing how flimsy it is. But anyway,

695
00:37:08,520 --> 00:37:11,880
Speaker 1: it's basically a security blanket for very scared Trumpers to

696
00:37:11,960 --> 00:37:14,960
Speaker 1: be like, no, what is actually happening that is objectively

697
00:37:15,080 --> 00:37:17,960
Speaker 1: does not look good for the president is actually it's

698
00:37:17,960 --> 00:37:20,720
Speaker 1: a good thing. We just don't know because there's something

699
00:37:20,719 --> 00:37:22,879
Speaker 1: going on behind the scenes that you have to read

700
00:37:22,960 --> 00:37:26,320
Speaker 1: between the lines. So this is not one of the

701
00:37:26,360 --> 00:37:29,520
Speaker 1: Trump supporter conspiracy theories where it's like, well, we're never

702
00:37:29,560 --> 00:37:33,040
Speaker 1: really gonna know. It's one where it's like they it

703
00:37:33,120 --> 00:37:35,520
Speaker 1: has a clear expiration date. It's like one of those

704
00:37:35,560 --> 00:37:37,759
Speaker 1: cults where they're like and the world is gonna end

705
00:37:37,800 --> 00:37:40,720
Speaker 1: on this date and like two weeks and when it doesn't,

706
00:37:40,719 --> 00:37:43,480
Speaker 1: you're like, well, you were wrong. Because they think that

707
00:37:43,680 --> 00:37:47,000
Speaker 1: once the Muller investigation is over, it's going to be

708
00:37:47,040 --> 00:37:49,399
Speaker 1: revealed that he was working with Trump the whole time,

709
00:37:49,480 --> 00:37:51,560
Speaker 1: which is why some people think that the whole q

710
00:37:51,719 --> 00:37:55,480
Speaker 1: and On conspiracy was a left wing like troll like

711
00:37:55,560 --> 00:37:58,560
Speaker 1: fuck you, yeah, like, I mean it would be brilliant,

712
00:37:58,680 --> 00:38:01,759
Speaker 1: it really, I mean it will be because we are

713
00:38:01,920 --> 00:38:05,200
Speaker 1: going to eventually find out that Muller was not secretly

714
00:38:05,200 --> 00:38:07,759
Speaker 1: working with Trump to uncover a bunch of pedophiles, quite

715
00:38:07,760 --> 00:38:11,239
Speaker 1: the opposite. So this is like, these people, as much

716
00:38:11,239 --> 00:38:15,120
Speaker 1: as it's possible to feel sympathy for people, they are

717
00:38:15,360 --> 00:38:19,680
Speaker 1: going to be proven wrong very publicly, and they're already like,

718
00:38:20,000 --> 00:38:22,120
Speaker 1: oh god, man, I really need this to be true.

719
00:38:22,320 --> 00:38:25,880
Speaker 1: So on ah Chan, which is one of the Internet's

720
00:38:25,920 --> 00:38:31,880
Speaker 1: greatest message whole yeah, turn it up by two anyway,

721
00:38:31,880 --> 00:38:34,240
Speaker 1: on h and there's some Q and on people talking

722
00:38:34,400 --> 00:38:39,680
Speaker 1: and they one person began this discussion about lawsuit against

723
00:38:39,680 --> 00:38:43,720
Speaker 1: the mainstream media because they're making us look stupid, basically

724
00:38:43,760 --> 00:38:45,680
Speaker 1: is what their argument. So I just want to read

725
00:38:46,040 --> 00:38:49,759
Speaker 1: some choice posts on this message board. Wankad pulled some

726
00:38:49,800 --> 00:38:52,440
Speaker 1: of these and they are hilarious. So the first one

727
00:38:52,440 --> 00:38:54,719
Speaker 1: says this is, and I'm quoting verbatim, here we go.

728
00:38:54,880 --> 00:38:56,480
Speaker 1: When this is all done, can we get a class

729
00:38:56,520 --> 00:38:59,800
Speaker 1: action lawsuit going against the MSM for wrecking all our families?

730
00:39:00,040 --> 00:39:03,440
Speaker 1: No joke. The amount of division and pain the mainstream

731
00:39:03,440 --> 00:39:06,799
Speaker 1: media has caused is incalculable. Just got accused by my

732
00:39:06,840 --> 00:39:09,680
Speaker 1: sixty seven year old mother for spewing lies in aligning

733
00:39:09,680 --> 00:39:13,960
Speaker 1: to a hateful ideology. Truth Bomber about Manford being exonerated

734
00:39:14,000 --> 00:39:17,839
Speaker 1: eight years ago by Rosenstein, truth Bombeder about Operation mocking Bird,

735
00:39:18,040 --> 00:39:21,160
Speaker 1: truth Bombeder about POSCO, blah blah blah, blah blah, goes on.

736
00:39:21,480 --> 00:39:23,600
Speaker 1: She then has the audacity to call them lies but

737
00:39:23,680 --> 00:39:26,239
Speaker 1: can't provide evidence, just turns on me and tries to

738
00:39:26,280 --> 00:39:29,160
Speaker 1: make me think I'm irrational. I'm serious, the M s M.

739
00:39:29,719 --> 00:39:32,000
Speaker 1: They're responsible for this ship. How many families have been

740
00:39:32,040 --> 00:39:35,120
Speaker 1: fighting for the past two years, breakups, divorces, fired, a

741
00:39:35,200 --> 00:39:38,600
Speaker 1: strange families and ex friends. God damn the mainstream media.

742
00:39:38,719 --> 00:39:41,799
Speaker 1: I can't wait anymore. Let's just sue him now. So

743
00:39:42,040 --> 00:39:45,439
Speaker 1: you know what, he's being vulnerable, Yeah, I guess so, Yeah,

744
00:39:45,520 --> 00:39:48,160
Speaker 1: he is being vulnerable in a way right, but not

745
00:39:48,200 --> 00:39:51,000
Speaker 1: being he but he's still has to be right and

746
00:39:51,000 --> 00:39:52,880
Speaker 1: he's still putting up the thing where he can't just

747
00:39:53,280 --> 00:39:55,440
Speaker 1: own he's like, he's not being vulnerable in the way

748
00:39:55,440 --> 00:39:57,880
Speaker 1: that he can be honest himself. Like, look, I'm was

749
00:39:58,000 --> 00:40:01,040
Speaker 1: very desperate to not believe this, and I'm I feel

750
00:40:01,080 --> 00:40:02,799
Speaker 1: really bad right now because I don't know what to do.

751
00:40:02,840 --> 00:40:07,239
Speaker 1: It's is what this this, this whole conspiracy theory is

752
00:40:07,239 --> 00:40:10,640
Speaker 1: built out of an inability to show vulnerability. They're just

753
00:40:10,840 --> 00:40:14,400
Speaker 1: unwilling to be wrong about anything, and so they were

754
00:40:14,440 --> 00:40:18,000
Speaker 1: Trump supporters. It's either that Trump is guilty or there

755
00:40:18,080 --> 00:40:21,719
Speaker 1: is a massive, like the stinging style operation that is

756
00:40:21,760 --> 00:40:24,600
Speaker 1: going on where Trump is like playing the mainstream media

757
00:40:24,960 --> 00:40:28,239
Speaker 1: and they cannot show vulnerability about Trump being wrong, so

758
00:40:28,320 --> 00:40:32,560
Speaker 1: they have constructed this giant conspiracy theory based on a

759
00:40:32,560 --> 00:40:35,000
Speaker 1: guy who just tweets stuff like the storm is coming,

760
00:40:35,160 --> 00:40:38,160
Speaker 1: and they're like, see that means like they that was

761
00:40:38,200 --> 00:40:40,040
Speaker 1: when Trump said that in front of a bunch of

762
00:40:40,080 --> 00:40:42,919
Speaker 1: military families that they were like, what is he talking about?

763
00:40:43,280 --> 00:40:45,080
Speaker 1: What's he talking about? Anyway? So let me read a

764
00:40:45,080 --> 00:40:48,160
Speaker 1: couple more because because then the whole crew jumps in

765
00:40:48,200 --> 00:40:50,080
Speaker 1: to be like, let me let me regal you with

766
00:40:50,160 --> 00:40:53,400
Speaker 1: tales of emotional trauma because of my belief in Q

767
00:40:53,520 --> 00:40:56,040
Speaker 1: and on. There's another one. I'm sleeping on the couch

768
00:40:56,080 --> 00:40:58,239
Speaker 1: again tonight because I had a flare up. I hope

769
00:40:58,239 --> 00:41:00,560
Speaker 1: this turns out to be truer than true. My wife

770
00:41:00,600 --> 00:41:03,239
Speaker 1: wants to divorce me soon, possibly because she thinks I'm

771
00:41:03,280 --> 00:41:05,760
Speaker 1: in a cult group for reading this stuff. It sucks.

772
00:41:06,000 --> 00:41:10,479
Speaker 1: I'm doo sick over it. Typo um, Okay, what about

773
00:41:10,480 --> 00:41:12,640
Speaker 1: this one? Goodness, Yes, I agree with you. I don't

774
00:41:12,680 --> 00:41:15,000
Speaker 1: know what everybody is going through entirely, but what I've

775
00:41:15,000 --> 00:41:17,400
Speaker 1: been through has really changed my life. I've lost friends,

776
00:41:17,400 --> 00:41:19,439
Speaker 1: been accused of all kinds of things, and almost had

777
00:41:19,440 --> 00:41:22,520
Speaker 1: my girlfriend turned against me during gamer Gate. She read

778
00:41:22,560 --> 00:41:24,399
Speaker 1: the wiki on it and thought I was some kind

779
00:41:24,400 --> 00:41:30,360
Speaker 1: of Nazi for being pro gamer Gate. We have been abused, criticized, shamed, misrepresented,

780
00:41:30,480 --> 00:41:33,320
Speaker 1: and we kept turning to the liberals while the liberals

781
00:41:33,560 --> 00:41:37,400
Speaker 1: commy liberals. I'm not saying the caring, classical, woke liberals

782
00:41:37,440 --> 00:41:40,279
Speaker 1: certainly seemed like the enemy. The real enemy is was

783
00:41:40,480 --> 00:41:44,160
Speaker 1: the elite and mainstream media. Another person, same story here.

784
00:41:44,320 --> 00:41:46,080
Speaker 1: I don't really talk to my seven year old parents

785
00:41:46,080 --> 00:41:48,880
Speaker 1: in laws anymore, even my college educated younger brother and

786
00:41:48,960 --> 00:41:52,240
Speaker 1: his wife, because all they watch is MSNBC, CNN, and MPR,

787
00:41:52,480 --> 00:41:55,480
Speaker 1: and they've learned only to hate a straw man of me.

788
00:41:55,760 --> 00:41:58,240
Speaker 1: I can't talk to them about anything at all. Recently,

789
00:41:58,280 --> 00:42:01,320
Speaker 1: Pops made some delusional comment about Trump being a crony

790
00:42:01,400 --> 00:42:04,960
Speaker 1: capitalist giving kickbacks to his buddies in the prison industry.

791
00:42:05,239 --> 00:42:07,439
Speaker 1: I was tired of the insanity and spoke up saying

792
00:42:07,440 --> 00:42:09,560
Speaker 1: Trump is actually working to break up all that sort

793
00:42:09,560 --> 00:42:12,680
Speaker 1: of thing and have prison reforms. This guy got emotionally

794
00:42:12,760 --> 00:42:15,480
Speaker 1: upset with me for even hinting at a defensive Trump's character.

795
00:42:15,800 --> 00:42:19,080
Speaker 1: If only they knew what was going on here. Oh god,

796
00:42:19,440 --> 00:42:23,640
Speaker 1: So yeah, so many thoughts those people are. They're so

797
00:42:23,760 --> 00:42:26,600
Speaker 1: hurt that it really makes me sad. Well, right, because

798
00:42:26,640 --> 00:42:30,440
Speaker 1: they're really grasping onto this thing of like everything I

799
00:42:30,560 --> 00:42:34,080
Speaker 1: thought is a lie, but now they just have to say, well,

800
00:42:34,120 --> 00:42:37,479
Speaker 1: reality has to be alive it. Yeah, but this goes

801
00:42:37,520 --> 00:42:42,839
Speaker 1: back to if Trump diet tomorrow, if Trump got like

802
00:42:43,000 --> 00:42:46,480
Speaker 1: resigned from office tomorrow, these people that will not accept it,

803
00:42:46,520 --> 00:42:48,200
Speaker 1: they're not going to accept it. They're not going to

804
00:42:48,280 --> 00:42:50,520
Speaker 1: be like, like, they have way too much tied up

805
00:42:50,560 --> 00:42:52,279
Speaker 1: in this. So the only way it could be as

806
00:42:52,280 --> 00:42:55,040
Speaker 1: if Trump, which will never happen, made a public address

807
00:42:55,080 --> 00:42:57,520
Speaker 1: and said I did commit these things, I am going

808
00:42:57,560 --> 00:42:59,960
Speaker 1: to resign my presidency because of these acts that I took,

809
00:43:00,080 --> 00:43:02,120
Speaker 1: I should not be president of the United States. No,

810
00:43:02,400 --> 00:43:04,319
Speaker 1: but even if he said that, they would spin it

811
00:43:04,320 --> 00:43:07,080
Speaker 1: into no, he's being forced to say that it's a

812
00:43:07,120 --> 00:43:09,080
Speaker 1: deep Yeah, they would say all of those things. It's

813
00:43:09,080 --> 00:43:12,440
Speaker 1: so it's just so sad. But yeah, I guess just

814
00:43:12,480 --> 00:43:16,080
Speaker 1: in general, like the lack of self awareness and being

815
00:43:16,120 --> 00:43:19,319
Speaker 1: able to own up to like, yeah, look, maybe you

816
00:43:19,360 --> 00:43:22,000
Speaker 1: really did think Trump was going to bring jobs back

817
00:43:22,000 --> 00:43:25,239
Speaker 1: to where you were or somehow address your condition you're

818
00:43:25,239 --> 00:43:27,799
Speaker 1: in with bills, with medical care or whatever, and it

819
00:43:27,840 --> 00:43:30,879
Speaker 1: didn't happen. And now you're starting to see that all

820
00:43:30,920 --> 00:43:33,520
Speaker 1: these things are coming out that would indicate to most

821
00:43:33,520 --> 00:43:36,399
Speaker 1: people that him being president isn't a good thing. But

822
00:43:36,520 --> 00:43:38,520
Speaker 1: if you can't accept that, then you just have to

823
00:43:38,560 --> 00:43:40,640
Speaker 1: go on to I need something else to keep me feel.

824
00:43:40,719 --> 00:43:43,840
Speaker 1: What are the five stages of of loss of mourning?

825
00:43:44,040 --> 00:43:48,200
Speaker 1: This is like the denial stage people, So next is

826
00:43:48,239 --> 00:43:51,399
Speaker 1: like it's like bargaining and then depression. Yeah, but that's

827
00:43:51,480 --> 00:43:55,080
Speaker 1: when people are unable to like if you had a

828
00:43:55,120 --> 00:43:58,600
Speaker 1: whole conspiracy that like a whole group of people who

829
00:43:58,719 --> 00:44:01,680
Speaker 1: was like, yeah, no, you're right, your husband isn't dead,

830
00:44:02,040 --> 00:44:05,800
Speaker 1: And here's the conspiracy where he's like hiding over somewhere

831
00:44:06,080 --> 00:44:08,200
Speaker 1: and he's doing it all to save the world, Like

832
00:44:08,280 --> 00:44:12,520
Speaker 1: they's working with Jesus to put the devil in jail

833
00:44:12,600 --> 00:44:14,719
Speaker 1: and then he will come back, right. You would just

834
00:44:14,840 --> 00:44:18,120
Speaker 1: never need to get through the denial stage. And I

835
00:44:18,120 --> 00:44:20,399
Speaker 1: feel like that's where we might It's the same ship

836
00:44:20,440 --> 00:44:23,160
Speaker 1: with people who go to like psychics to feel good about,

837
00:44:23,239 --> 00:44:25,120
Speaker 1: you know, because you know, a psychic will just tell

838
00:44:25,160 --> 00:44:27,839
Speaker 1: you some ship that you're like, oh, okay, good, that's

839
00:44:27,840 --> 00:44:29,839
Speaker 1: really what's going on. And sure, I mean on some

840
00:44:30,160 --> 00:44:32,520
Speaker 1: level people have intuition or whatever, but I think a

841
00:44:32,560 --> 00:44:35,160
Speaker 1: lot of people need sometimes they just need something outside

842
00:44:35,200 --> 00:44:38,400
Speaker 1: of themselves to help explain away the bad ship that

843
00:44:38,440 --> 00:44:41,879
Speaker 1: they're experiencing or feeling. And like your family is telling you, hey,

844
00:44:41,920 --> 00:44:44,919
Speaker 1: this you're fullest ship. None of this is true. Wake

845
00:44:45,000 --> 00:44:47,879
Speaker 1: the funk up. It's hard for something like, yeah, you're right,

846
00:44:47,920 --> 00:44:50,560
Speaker 1: I was really fucking dumb. There wasn't I That's just

847
00:44:50,640 --> 00:44:52,839
Speaker 1: the thing that it's hard for people to say. We've

848
00:44:52,840 --> 00:44:54,839
Speaker 1: talked before. Like one of the most surprising things I've

849
00:44:54,880 --> 00:44:57,719
Speaker 1: learned just in reading up on most of the people

850
00:44:57,719 --> 00:45:00,400
Speaker 1: who believe all this ship and who are you know,

851
00:45:00,480 --> 00:45:03,000
Speaker 1: like the Roger Stones of the world, who are still

852
00:45:03,000 --> 00:45:07,160
Speaker 1: Trump supporters. One of their core beliefs is that Nixon

853
00:45:07,280 --> 00:45:11,359
Speaker 1: got railroaded. The whole Watergate thing was Nixon being done

854
00:45:11,360 --> 00:45:14,120
Speaker 1: wrong by the liberal mainstream media. So all this ship

855
00:45:14,200 --> 00:45:17,440
Speaker 1: that they're now coming out and openly believing the basis

856
00:45:17,560 --> 00:45:21,360
Speaker 1: for that has been brewing in the conservative movement four years.

857
00:45:21,360 --> 00:45:24,359
Speaker 1: It's just they haven't felt strong enough to come out

858
00:45:24,400 --> 00:45:28,640
Speaker 1: and say it in public. So yeah, there's never gonna

859
00:45:28,640 --> 00:45:31,200
Speaker 1: be like, these folks are never going to admit that

860
00:45:31,200 --> 00:45:34,040
Speaker 1: they're wrong. Yeah, yeah, I agree, And I think it's

861
00:45:34,080 --> 00:45:37,359
Speaker 1: just important to like recognize come from an empathetic point

862
00:45:37,360 --> 00:45:39,400
Speaker 1: of view whenever you like meet one of these people

863
00:45:39,560 --> 00:45:42,640
Speaker 1: in the wild, and just come from a place of

864
00:45:42,680 --> 00:45:45,640
Speaker 1: like understanding and just not like shame them or try

865
00:45:45,680 --> 00:45:48,520
Speaker 1: not to. Yeah. I think, Look, I think what we

866
00:45:48,560 --> 00:45:50,400
Speaker 1: need to do is we should create a space for

867
00:45:50,440 --> 00:45:53,080
Speaker 1: people to come see the light from Trump and look,

868
00:45:53,160 --> 00:45:56,320
Speaker 1: if you were once a supporter, if you can realize

869
00:45:56,320 --> 00:45:58,640
Speaker 1: you fuck up. I'm not saying, hey, you're canceled forever,

870
00:45:58,960 --> 00:46:02,960
Speaker 1: right because I wore bondage pants from I'm here now.

871
00:46:03,000 --> 00:46:05,960
Speaker 1: I just got rid of my puka shell necklace. Really,

872
00:46:06,800 --> 00:46:09,040
Speaker 1: I've been. I've been. I'm just disappointed that you got

873
00:46:09,160 --> 00:46:11,080
Speaker 1: rid of it because it looked so cool. It was

874
00:46:11,120 --> 00:46:14,080
Speaker 1: the one time I've been wrong, the one time right.

875
00:46:14,080 --> 00:46:15,719
Speaker 1: We'll get it on movie pass. We're gonna take a

876
00:46:15,800 --> 00:46:18,800
Speaker 1: quick break to talk about what bondage pants exactly entails,

877
00:46:18,840 --> 00:46:32,360
Speaker 1: and we'll be right back. And we're back, and this

878
00:46:32,440 --> 00:46:35,000
Speaker 1: might give you a little clue as to when we're

879
00:46:35,040 --> 00:46:39,120
Speaker 1: recording this. But so the Cohen story is evolving in

880
00:46:39,200 --> 00:46:42,040
Speaker 1: real time, and the New York Times and now saying

881
00:46:42,040 --> 00:46:45,120
Speaker 1: that he might be pleading guilty, but he might not

882
00:46:45,160 --> 00:46:47,719
Speaker 1: be cooperating. So and now it's just coming in that

883
00:46:47,840 --> 00:46:51,719
Speaker 1: mana Fort has been found guilty on eight of the

884
00:46:51,760 --> 00:46:56,960
Speaker 1: eighteen charges that he was charged with. Ten of them

885
00:46:57,000 --> 00:47:01,480
Speaker 1: are going to be called mistrial. So apparently there were

886
00:47:01,600 --> 00:47:05,440
Speaker 1: ten of the charges that the Jerry couldn't come to

887
00:47:06,080 --> 00:47:09,919
Speaker 1: an agreement on, but that's still guilty on eight. And

888
00:47:10,120 --> 00:47:13,480
Speaker 1: you know, we don't know. So Cohen is pleading guilty,

889
00:47:13,600 --> 00:47:17,600
Speaker 1: he may cooperate. There's also reports that he may not,

890
00:47:18,080 --> 00:47:21,040
Speaker 1: or that his cooperation isn't even needed any right, it

891
00:47:21,040 --> 00:47:23,439
Speaker 1: has no value to the Special counsel. So who knows

892
00:47:23,480 --> 00:47:26,640
Speaker 1: where Michael Cohen is. He's shopped his wares around. He said,

893
00:47:26,719 --> 00:47:28,320
Speaker 1: this is what I have is what I can. And

894
00:47:28,360 --> 00:47:30,560
Speaker 1: they're like, no, we already got that, already got that tape.

895
00:47:30,760 --> 00:47:33,120
Speaker 1: So it could be Mueller doesn't need him. It could

896
00:47:33,160 --> 00:47:35,480
Speaker 1: be Mueller doesn't want to make it clear that he

897
00:47:35,560 --> 00:47:38,279
Speaker 1: needs him, and like as he's building his case out,

898
00:47:38,920 --> 00:47:41,759
Speaker 1: we don't totally know. But the one thing that is,

899
00:47:42,920 --> 00:47:48,080
Speaker 1: you know, remarkable, is that these two close associates of

900
00:47:48,160 --> 00:47:52,640
Speaker 1: the president, Cohen and Manifort, are both now officially card

901
00:47:52,719 --> 00:47:57,279
Speaker 1: carrying guilty as criminals. Yeah, credentialed criminals is what they

902
00:47:57,280 --> 00:48:01,480
Speaker 1: will call them. All Right, we'll see. So ICE is

903
00:48:01,600 --> 00:48:03,160
Speaker 1: in the news trying to get some of that good

904
00:48:03,239 --> 00:48:07,880
Speaker 1: pub Yeah, by deporting Nazis. Yeah, they got a legit

905
00:48:08,320 --> 00:48:12,879
Speaker 1: Nazi who was a prison camp guard, which is objectively yes,

906
00:48:13,040 --> 00:48:18,160
Speaker 1: great years old, uh yep, sending him back to Germany.

907
00:48:18,520 --> 00:48:21,719
Speaker 1: And everyone's like, okay, Wow, I finally did a good thing.

908
00:48:21,800 --> 00:48:24,840
Speaker 1: But this is actually part of a much darker, bigger

909
00:48:24,960 --> 00:48:28,040
Speaker 1: policy that ICE has been implementing, which is trying to

910
00:48:28,160 --> 00:48:32,359
Speaker 1: de naturalize American citizens. And they've been going through like

911
00:48:32,520 --> 00:48:34,640
Speaker 1: up to cases thirty years old to try and find

912
00:48:34,640 --> 00:48:37,520
Speaker 1: a way of screwing people out of their actual citizenships.

913
00:48:37,560 --> 00:48:39,640
Speaker 1: So there have been cases of like this is a

914
00:48:39,760 --> 00:48:44,279
Speaker 1: version where de naturalization makes sense, like human rights violators, Nazis,

915
00:48:44,360 --> 00:48:47,080
Speaker 1: war criminals. Sure, I probably shouldn't be an American citizen,

916
00:48:47,280 --> 00:48:49,480
Speaker 1: but I mean think of how many American citizens there

917
00:48:49,480 --> 00:48:51,879
Speaker 1: are who are human rights anyway, that's a whole other thing.

918
00:48:52,040 --> 00:48:55,680
Speaker 1: But so normally that's reserved for the worst kind of people.

919
00:48:55,719 --> 00:48:59,280
Speaker 1: But now this is part of Trump's you know, administration

920
00:48:59,360 --> 00:49:03,000
Speaker 1: to create basically two classes of Americans. There's people who

921
00:49:03,000 --> 00:49:05,600
Speaker 1: were born in the US who are American citizens, and

922
00:49:05,640 --> 00:49:08,319
Speaker 1: then foreign born Americans who are now sort of like

923
00:49:08,400 --> 00:49:11,520
Speaker 1: second class citizens who are left to basically live in

924
00:49:11,600 --> 00:49:13,799
Speaker 1: fear of Like wait, are they really trying to just

925
00:49:13,920 --> 00:49:18,160
Speaker 1: take away the citizenship? Like, you know, having the permanence

926
00:49:18,160 --> 00:49:22,359
Speaker 1: of citizenship helps people feel, you know, secure, and give

927
00:49:22,400 --> 00:49:24,920
Speaker 1: you an identity and help you move on from whatever

928
00:49:24,960 --> 00:49:26,960
Speaker 1: it is you're trying to leave. And so this is

929
00:49:27,000 --> 00:49:30,080
Speaker 1: a very terrifying policy. And like, you know, their tales

930
00:49:30,120 --> 00:49:33,439
Speaker 1: of people who you know, like one woman was caught

931
00:49:33,520 --> 00:49:36,840
Speaker 1: up in a fraud scheme but cooperated like as a

932
00:49:36,840 --> 00:49:39,720
Speaker 1: witness to bring the fraud thing down and like helped

933
00:49:39,880 --> 00:49:43,239
Speaker 1: secure a conviction in this thing. And this before she

934
00:49:43,239 --> 00:49:46,720
Speaker 1: applied for citizenship. When she applied, everything was fine because

935
00:49:46,719 --> 00:49:48,839
Speaker 1: she wasn't charged of a crime or anything like that.

936
00:49:49,040 --> 00:49:50,840
Speaker 1: But I mean she was going to be, but she

937
00:49:50,960 --> 00:49:53,640
Speaker 1: avoided any kind of penalty for cooperating. So then ICE

938
00:49:53,680 --> 00:49:55,279
Speaker 1: went back through and they're like, wait, you're named in

939
00:49:55,320 --> 00:49:58,040
Speaker 1: this case. Oh so you're a criminal, and we're gonna

940
00:49:58,040 --> 00:49:59,719
Speaker 1: take away your citizenship someone who had been here for

941
00:50:00,200 --> 00:50:02,480
Speaker 1: seven years. So this is like a thing where now

942
00:50:02,560 --> 00:50:06,040
Speaker 1: they're trying to nitpick and find any way to take

943
00:50:06,120 --> 00:50:10,720
Speaker 1: away someone's naturalized citizenship. And they're doing it under two circumstances.

944
00:50:10,760 --> 00:50:14,359
Speaker 1: First is if they obtained their citizenship illegally, where they

945
00:50:14,680 --> 00:50:17,560
Speaker 1: actually didn't meet the legal requirements and they lied or

946
00:50:17,600 --> 00:50:19,840
Speaker 1: something like that, um or they or they just slipped

947
00:50:19,840 --> 00:50:21,880
Speaker 1: through the cracks and managed to get a citizenship. The

948
00:50:21,880 --> 00:50:24,680
Speaker 1: second is if they lied about or they they concealed

949
00:50:24,719 --> 00:50:27,840
Speaker 1: something during the application process that was actually relevant to

950
00:50:27,880 --> 00:50:29,279
Speaker 1: their case. So if they're you know, if they say, oh,

951
00:50:29,360 --> 00:50:30,759
Speaker 1: have you been charged with the crime or whatever, you

952
00:50:30,800 --> 00:50:33,080
Speaker 1: leave that blank, Oh what's going on here? Even if

953
00:50:33,080 --> 00:50:35,640
Speaker 1: it was something very small, they're now going back and

954
00:50:35,680 --> 00:50:37,879
Speaker 1: combing through there to try and find any little way

955
00:50:38,120 --> 00:50:40,960
Speaker 1: to try and take people's citizenship away. So it's just

956
00:50:41,040 --> 00:50:44,680
Speaker 1: a very sad policy, and you know it's it's leaving

957
00:50:44,680 --> 00:50:48,920
Speaker 1: these people verily just extremely vulnerable. And you know, it's

958
00:50:48,960 --> 00:50:52,080
Speaker 1: again another way we're moving the goal posts of what

959
00:50:52,160 --> 00:50:54,680
Speaker 1: an American is. It was first, you know, like if

960
00:50:54,719 --> 00:50:58,120
Speaker 1: you aren't white enough, that's not American. And then you

961
00:50:58,120 --> 00:51:00,319
Speaker 1: know that died out, and now it's like, well, even

962
00:51:00,360 --> 00:51:03,600
Speaker 1: if you're legally an American, are you really though because

963
00:51:03,760 --> 00:51:05,879
Speaker 1: you were four and born and now let's look through

964
00:51:05,920 --> 00:51:09,200
Speaker 1: there and and maybe take away your citizenship just a

965
00:51:09,400 --> 00:51:11,680
Speaker 1: ship policy. And are these all people that have passed

966
00:51:11,719 --> 00:51:14,120
Speaker 1: like the citizenship test. Yeah, these are people who have

967
00:51:14,200 --> 00:51:16,920
Speaker 1: who are like straight up American citizens, who are like

968
00:51:17,000 --> 00:51:18,800
Speaker 1: studied and even though like I was born in the

969
00:51:18,920 --> 00:51:21,400
Speaker 1: United States, they like know more about American history than

970
00:51:21,440 --> 00:51:25,279
Speaker 1: I did. Yes, exactly, all right, cool, but yeah, that's uh,

971
00:51:25,560 --> 00:51:28,480
Speaker 1: you know, I think it's in line with the terror

972
00:51:28,480 --> 00:51:31,839
Speaker 1: on immigrant populations are people who have immigrated to this country.

973
00:51:31,920 --> 00:51:33,399
Speaker 1: But yeah, I think it was just odd to see

974
00:51:33,480 --> 00:51:35,319
Speaker 1: they're like, oh I just got this guy. It's like, well,

975
00:51:35,400 --> 00:51:37,239
Speaker 1: you know, let's keep the think pieces up or the

976
00:51:37,280 --> 00:51:39,680
Speaker 1: coverage up of people who are like being aggressively de

977
00:51:39,760 --> 00:51:42,040
Speaker 1: natural but also like, so they got a Nazi. He's

978
00:51:42,120 --> 00:51:44,480
Speaker 1: ninety five, So how old was he when World War

979
00:51:44,520 --> 00:51:46,319
Speaker 1: Two was going on? Like, was he's a teenager? Like

980
00:51:46,360 --> 00:51:49,120
Speaker 1: early twenties? Was he like doesn't tell them? Do you

981
00:51:49,120 --> 00:51:50,719
Speaker 1: think he was a high ranking Nazi? Do you think

982
00:51:50,760 --> 00:51:52,640
Speaker 1: he was like someone who was No, there was a

983
00:51:52,680 --> 00:51:55,239
Speaker 1: guy who was pretty notorious that they deported like in

984
00:51:55,280 --> 00:51:59,919
Speaker 1: two thousand nine, who like was like whoa zomb zero

985
00:52:00,200 --> 00:52:03,640
Speaker 1: mg Nazi? But yeah, I mean this person was like

986
00:52:03,680 --> 00:52:08,080
Speaker 1: you know, like was like wanted they okay, okay, they

987
00:52:08,080 --> 00:52:11,359
Speaker 1: put it together like oh wait, that's okay, that's that's

988
00:52:11,360 --> 00:52:14,879
Speaker 1: old man Jenkins down the street exactly. This seems like

989
00:52:14,960 --> 00:52:16,960
Speaker 1: a part of the culture war where it's like, oh,

990
00:52:16,960 --> 00:52:23,080
Speaker 1: you're gonna call Ice Nazis. No Ice is deporting Nazi straightforward.

991
00:52:23,160 --> 00:52:25,920
Speaker 1: It's like a good optics thing, but under a policy

992
00:52:25,960 --> 00:52:28,600
Speaker 1: that is very fucked up. Because like even like my

993
00:52:28,680 --> 00:52:31,279
Speaker 1: mom is like a naturalized citizen too, So do you

994
00:52:31,280 --> 00:52:32,840
Speaker 1: think about like, you know, I don't know if she

995
00:52:32,920 --> 00:52:34,800
Speaker 1: wasn't doing anything sucked up or anything in the past,

996
00:52:34,840 --> 00:52:36,759
Speaker 1: but like I think it makes you think you're like, damn,

997
00:52:36,800 --> 00:52:38,680
Speaker 1: they're really trying to even go after people who have

998
00:52:38,800 --> 00:52:42,960
Speaker 1: been here, who have contributed, who are fully participated in

999
00:52:43,000 --> 00:52:45,840
Speaker 1: this thing called America. Do we know any data on

1000
00:52:45,960 --> 00:52:49,440
Speaker 1: like which countries of origin they might be targeting specifically?

1001
00:52:49,760 --> 00:52:51,319
Speaker 1: It seems like, I mean a lot of it has

1002
00:52:51,360 --> 00:52:53,239
Speaker 1: been at least most of the stories that I had

1003
00:52:53,320 --> 00:52:56,359
Speaker 1: read that were more like anecdotal pieces to like, you know,

1004
00:52:56,360 --> 00:52:59,000
Speaker 1: go along with this idea of the de Naturalization Task

1005
00:52:59,040 --> 00:53:01,920
Speaker 1: Force have been people from like Latin America, so I'm

1006
00:53:01,920 --> 00:53:04,239
Speaker 1: from Africa. It all depends, I mean, if it's not

1007
00:53:04,280 --> 00:53:07,360
Speaker 1: America as a shiphole, right, so it's not America or

1008
00:53:08,120 --> 00:53:11,400
Speaker 1: contry Yeah, oh yeah, like Norway? Was that? Is that

1009
00:53:11,400 --> 00:53:13,879
Speaker 1: what Kirsten Nielsen said? That one thing? It's like, well,

1010
00:53:13,920 --> 00:53:17,399
Speaker 1: we'd love to have more Swedish immigrants or why would

1011
00:53:17,440 --> 00:53:21,360
Speaker 1: they have healthcare? Why would they come here? So there

1012
00:53:21,640 --> 00:53:27,040
Speaker 1: is a movement happening in the prisons of America. The

1013
00:53:27,080 --> 00:53:30,440
Speaker 1: prisoners around the country are launching a nineteen day strike

1014
00:53:30,560 --> 00:53:35,680
Speaker 1: to protest ultra low pey forced labor and just generally

1015
00:53:35,800 --> 00:53:39,839
Speaker 1: poor conditions and prisons across the United States. If you've

1016
00:53:39,880 --> 00:53:45,640
Speaker 1: seen thirteen or It's an amazing documentary that tells the

1017
00:53:45,640 --> 00:53:50,759
Speaker 1: story of how a lot of the slave economy was

1018
00:53:50,840 --> 00:53:55,200
Speaker 1: transferred to putting people in prison, and you know, people

1019
00:53:55,239 --> 00:53:58,600
Speaker 1: of color in particular, and forcing them into labor, and

1020
00:53:58,719 --> 00:54:03,279
Speaker 1: having an economy based on these prisons contracting out the

1021
00:54:03,320 --> 00:54:06,760
Speaker 1: labor of their inmates. It's a great deal for companies

1022
00:54:06,800 --> 00:54:10,000
Speaker 1: because they only have to pay them like cents per hour,

1023
00:54:10,280 --> 00:54:12,759
Speaker 1: eighty five cents, twelve cents I've heard, or in some

1024
00:54:12,840 --> 00:54:17,520
Speaker 1: states not at all, like in seventeen Alabama, Arkansas, Florida, Georgia, Texas,

1025
00:54:17,560 --> 00:54:20,160
Speaker 1: they were not paid for most of their work. And yeah,

1026
00:54:20,160 --> 00:54:24,400
Speaker 1: the thirteenth Amendment, you know, banned slavery and involuntary servitude,

1027
00:54:24,640 --> 00:54:29,120
Speaker 1: and but it very clearly says except as punishment of crime,

1028
00:54:29,200 --> 00:54:32,600
Speaker 1: whereof the party shall have been duly convicted. And that's

1029
00:54:32,600 --> 00:54:34,120
Speaker 1: why a lot of people are going like, oh, so

1030
00:54:34,560 --> 00:54:37,000
Speaker 1: you're just redefining slavery to be like, are you criminal?

1031
00:54:37,200 --> 00:54:38,719
Speaker 1: And when you look at sort of the statistics of

1032
00:54:38,800 --> 00:54:41,680
Speaker 1: like how our criminal justice system works, what we have

1033
00:54:41,680 --> 00:54:44,440
Speaker 1: like less than five percent of the population and close

1034
00:54:44,480 --> 00:54:48,040
Speaker 1: to one quarter of the world's prison population. So what

1035
00:54:48,080 --> 00:54:51,480
Speaker 1: they are advocating for is something that needs to be addressed.

1036
00:54:51,480 --> 00:54:53,840
Speaker 1: And when you look at two there were thousands of

1037
00:54:53,880 --> 00:54:57,319
Speaker 1: prisoners in California were fighting the fucking fires as part

1038
00:54:57,360 --> 00:54:59,759
Speaker 1: of like this work program. And the sad thing is,

1039
00:54:59,800 --> 00:55:02,160
Speaker 1: like those work hours normally people would work in these

1040
00:55:02,360 --> 00:55:06,120
Speaker 1: vocational programs would count towards a certification, but when you

1041
00:55:06,160 --> 00:55:09,600
Speaker 1: are convict, you cannot get that certification. So it's almost

1042
00:55:09,640 --> 00:55:13,439
Speaker 1: all from not for a lot of these inmates. And yeah,

1043
00:55:13,480 --> 00:55:16,319
Speaker 1: the nineteen day strike is meant to end on the

1044
00:55:16,360 --> 00:55:21,600
Speaker 1: anniversary of the Attica riots. Yeah, which was in seven

1045
00:55:21,680 --> 00:55:24,640
Speaker 1: anniversary of the Attica prison right, So, and so this

1046
00:55:24,760 --> 00:55:27,799
Speaker 1: is gonna be a work strike and also there will

1047
00:55:27,840 --> 00:55:30,400
Speaker 1: be hunger strikes involved. Two is this going to be

1048
00:55:30,480 --> 00:55:33,520
Speaker 1: across the entire country? I think it's yeah. There, I

1049
00:55:33,520 --> 00:55:38,320
Speaker 1: mean a lot of people across multiple states. Yeah. Um,

1050
00:55:38,400 --> 00:55:41,839
Speaker 1: but yeah, I mean it's again it's when you really

1051
00:55:41,920 --> 00:55:44,799
Speaker 1: look at how our private prison system works, especially from

1052
00:55:44,840 --> 00:55:49,040
Speaker 1: that user on eight chan, is that the privot prison industry. Yes,

1053
00:55:49,360 --> 00:55:54,160
Speaker 1: this is a booming fucking industry where people have uh employees,

1054
00:55:54,280 --> 00:55:56,680
Speaker 1: you pay eighty five cents an hour two uh to

1055
00:55:56,760 --> 00:55:58,080
Speaker 1: do all kinds of things. And there are a lot

1056
00:55:58,120 --> 00:56:01,560
Speaker 1: of companies to that benefit from prison labor, to like

1057
00:56:01,600 --> 00:56:05,960
Speaker 1: Starbucks and other things like that. So, yeah, Russia has

1058
00:56:06,000 --> 00:56:10,480
Speaker 1: been attempting to hack right wing think tanks. Uh This

1059
00:56:10,560 --> 00:56:13,879
Speaker 1: will presumably allow both sides to claim that Russians are

1060
00:56:13,880 --> 00:56:17,320
Speaker 1: trying to help the other guys. It's a right wing

1061
00:56:17,480 --> 00:56:21,520
Speaker 1: think tanks who are hostile to Trump's message. Uh. So,

1062
00:56:21,800 --> 00:56:24,400
Speaker 1: not totally clear why that would matter in the run

1063
00:56:24,600 --> 00:56:27,040
Speaker 1: to the mid terms. But the most interesting thing to

1064
00:56:27,040 --> 00:56:30,400
Speaker 1: me about this story is that Microsoft came with the announcement,

1065
00:56:30,560 --> 00:56:34,080
Speaker 1: which puts them in the mix of like an international incident.

1066
00:56:34,120 --> 00:56:38,319
Speaker 1: They're basically antagonizing Russia and all the hackers they have

1067
00:56:38,440 --> 00:56:41,440
Speaker 1: working on their behalf, you know, because they could specifically

1068
00:56:41,440 --> 00:56:45,960
Speaker 1: called out a hacker team that works for Putin. So

1069
00:56:46,080 --> 00:56:49,200
Speaker 1: they're basically, you know, involving themselves in this war. But

1070
00:56:49,800 --> 00:56:52,520
Speaker 1: I don't know, it seems smart to me because Microsoft

1071
00:56:52,560 --> 00:56:56,759
Speaker 1: is sort of the lame, invisible fifth tech behemoth that

1072
00:56:57,239 --> 00:56:59,560
Speaker 1: it's not as cool to complain about, and so they're

1073
00:56:59,680 --> 00:57:02,640
Speaker 1: so is aiding their name with the side of solving

1074
00:57:02,640 --> 00:57:05,680
Speaker 1: the problem as opposed to being the problem. So I

1075
00:57:05,719 --> 00:57:09,080
Speaker 1: don't know, it'll be interesting to see how this plays out.

1076
00:57:09,160 --> 00:57:13,120
Speaker 1: There was just a story with the fact that towns

1077
00:57:13,200 --> 00:57:18,000
Speaker 1: that use Facebook more were more likely to have violence

1078
00:57:18,040 --> 00:57:21,760
Speaker 1: against immigrants in Germany. And the study is pretty conclusive

1079
00:57:21,760 --> 00:57:25,480
Speaker 1: saying that Facebook leads to violence against immigrants in Germany.

1080
00:57:26,040 --> 00:57:28,160
Speaker 1: So you can be part of the solution or part

1081
00:57:28,160 --> 00:57:29,840
Speaker 1: of the problem, and maybe this is a way that

1082
00:57:30,280 --> 00:57:34,720
Speaker 1: you can convince some of these massive, powerful media behemoths

1083
00:57:34,720 --> 00:57:38,080
Speaker 1: and tech behemoths to start doing good work. I wonder

1084
00:57:38,120 --> 00:57:39,800
Speaker 1: if it was because they were also I know, like

1085
00:57:39,840 --> 00:57:43,400
Speaker 1: those hackers were trying to replicate Microsoft sites, So like

1086
00:57:43,440 --> 00:57:46,480
Speaker 1: if you use that's why they like Outlook for like

1087
00:57:46,560 --> 00:57:49,160
Speaker 1: your work email or whatever, it's built on the Outlook

1088
00:57:49,160 --> 00:57:52,720
Speaker 1: program or pro platform. Then they're like, oh, hold on, don't, don't,

1089
00:57:52,800 --> 00:57:54,720
Speaker 1: don't look around with the Outlook. But yeah, I don't

1090
00:57:54,960 --> 00:57:57,160
Speaker 1: I think that. I mean, it probably makes sense to

1091
00:57:57,160 --> 00:58:01,160
Speaker 1: go after anti like never Trumper, you know, right think tanks,

1092
00:58:01,200 --> 00:58:05,840
Speaker 1: because they'll probably have a hand in probably running counter

1093
00:58:06,000 --> 00:58:11,000
Speaker 1: campaigns or publicity campaigns against you know, Trump rubber stamp

1094
00:58:11,640 --> 00:58:14,560
Speaker 1: candidates in the mid terms. But yeah, I guess they

1095
00:58:14,560 --> 00:58:19,640
Speaker 1: could also be their optics, you know, publicity strategy to say, oh,

1096
00:58:19,680 --> 00:58:21,920
Speaker 1: we're not only going after people on the left, they

1097
00:58:21,960 --> 00:58:23,320
Speaker 1: also go out for people on the right. So you

1098
00:58:23,360 --> 00:58:25,040
Speaker 1: never know. We just want to They just want to

1099
00:58:25,080 --> 00:58:26,800
Speaker 1: function up. Yeah, they could be helping the Democrats. I

1100
00:58:27,040 --> 00:58:29,160
Speaker 1: don't really know. I don't know what do I know? Right,

1101
00:58:29,600 --> 00:58:32,640
Speaker 1: So we'll see. We'll be keeping an eye on that. Jackie.

1102
00:58:32,920 --> 00:58:36,120
Speaker 1: It has been a pleasure having you. Where can people

1103
00:58:36,320 --> 00:58:39,920
Speaker 1: find you? Follow you, listen to you? Sure? So, I'm Jackie.

1104
00:58:40,040 --> 00:58:44,120
Speaker 1: Is awesome on Instagram and Twitter. But I put a

1105
00:58:44,240 --> 00:58:46,880
Speaker 1: U in between the W and the E on awesome,

1106
00:58:46,920 --> 00:58:51,680
Speaker 1: So it's awesome. Um, something I did in tenth grade

1107
00:58:51,760 --> 00:58:54,160
Speaker 1: just kind of stuck. And then also you can find

1108
00:58:54,200 --> 00:58:57,400
Speaker 1: my podcast, Guilty Pleasure podcast. If you enjoyed my dulcet

1109
00:58:57,400 --> 00:58:59,800
Speaker 1: tones during today's episode, you should listen to this week's

1110
00:58:59,840 --> 00:59:02,680
Speaker 1: up to a Guilty Pleasure, which Jack and Miles are

1111
00:59:02,720 --> 00:59:06,560
Speaker 1: on talking about the Golden Average talking to I'm Jack

1112
00:59:06,600 --> 00:59:11,280
Speaker 1: and Miles, and you guys gave us a great conversation

1113
00:59:11,360 --> 00:59:13,880
Speaker 1: about the golden era of hip hop, which is awesome. Actually,

1114
00:59:13,920 --> 00:59:15,720
Speaker 1: in the process of making a playlist based on all

1115
00:59:15,760 --> 00:59:18,800
Speaker 1: your recommendations, when I was editing it, I was literally

1116
00:59:18,840 --> 00:59:20,800
Speaker 1: like keeping notes of all the things you guys were doing,

1117
00:59:20,840 --> 00:59:22,480
Speaker 1: and I was like, I gotta make this into a playlist.

1118
00:59:22,480 --> 00:59:25,080
Speaker 1: I'll probably do it today. Um so, yeah, Guilty Pleasure

1119
00:59:25,080 --> 00:59:28,920
Speaker 1: podcast and yeah on the Internet, they're awesome. And is

1120
00:59:28,920 --> 00:59:31,280
Speaker 1: there a tweet that you've been enjoying. Yeah, there's a

1121
00:59:31,280 --> 00:59:33,360
Speaker 1: tweet that I just enjoyed that I pulled up a

1122
00:59:33,440 --> 00:59:37,880
Speaker 1: second ago and it was from John Gabriels and it

1123
00:59:38,240 --> 00:59:41,960
Speaker 1: was sometimes I wish I had a day job. Then

1124
00:59:42,000 --> 00:59:43,720
Speaker 1: I realized, I don't know if I can handle my

1125
00:59:43,760 --> 00:59:46,800
Speaker 1: coworkers watching me eat an entire cold roasted chicken over

1126
00:59:46,840 --> 00:59:53,960
Speaker 1: the garbage can every day for lunch over carfetail cold

1127
00:59:54,120 --> 00:59:56,680
Speaker 1: roasted chicken. We've all done that. I mean, yeah, who

1128
00:59:56,760 --> 01:00:01,160
Speaker 1: hasn't all been there? Folks? Miles where can people find you?

1129
01:00:01,200 --> 01:00:04,200
Speaker 1: Follow you? And what's that you've been enjoying? Friend following

1130
01:00:04,240 --> 01:00:08,840
Speaker 1: me on Twitter and Instagram? It miles of gray and

1131
01:00:09,600 --> 01:00:12,800
Speaker 1: tweet that I like is from at shy pixel. Roses

1132
01:00:12,800 --> 01:00:16,000
Speaker 1: are read truth is truth, rape is rape? Funck at

1133
01:00:16,040 --> 01:00:21,200
Speaker 1: real Donald Trump? Uh, that's from that. I just like

1134
01:00:21,280 --> 01:00:24,840
Speaker 1: aggressive roses are red tweets. Yeah, I told you we

1135
01:00:24,880 --> 01:00:26,840
Speaker 1: can find me. Yeah, and then uh yeah, check out

1136
01:00:26,880 --> 01:00:29,160
Speaker 1: Guilty Pleasures. We got to talk about Jack and I

1137
01:00:29,320 --> 01:00:32,000
Speaker 1: favorite time in hip hop and by the merch te

1138
01:00:32,120 --> 01:00:38,480
Speaker 1: public was that like two thousand and seventeen whenever Gucci

1139
01:00:38,560 --> 01:00:41,200
Speaker 1: Gang came out, right, that is just that those few

1140
01:00:41,200 --> 01:00:43,840
Speaker 1: weeks after Gucci Game came out, Gucchiga Gucci Gang tweet

1141
01:00:43,840 --> 01:00:47,680
Speaker 1: I've been enjoying us from Katie Golden, who is the

1142
01:00:47,760 --> 01:00:51,720
Speaker 1: human behind the Twitter account birds rights activists. She tweeted,

1143
01:00:52,000 --> 01:00:53,800
Speaker 1: if you had told me five years ago that one

1144
01:00:53,880 --> 01:00:56,000
Speaker 1: day I would be a ten foot tall princess who

1145
01:00:56,000 --> 01:00:58,920
Speaker 1: could command the obedience of any tiger by holding it

1146
01:00:58,920 --> 01:01:01,040
Speaker 1: in my gaze to sipe and its soul into my

1147
01:01:01,120 --> 01:01:04,400
Speaker 1: perfect red eyes, I would never believed. You follow your

1148
01:01:04,440 --> 01:01:08,560
Speaker 1: dreams and kneel before my army of tigers. Uh. And

1149
01:01:08,800 --> 01:01:11,400
Speaker 1: you can follow me on Twitter at Jack Undersquare O'Brien.

1150
01:01:11,560 --> 01:01:14,400
Speaker 1: You can follow us at daily Zeygeist on Twitter, where

1151
01:01:14,440 --> 01:01:16,960
Speaker 1: at the Daily Zeygeist on Instagram. We have a Facebook

1152
01:01:16,960 --> 01:01:20,040
Speaker 1: pampage on the website daily zygeist dot com where we

1153
01:01:20,120 --> 01:01:23,280
Speaker 1: post our episodes and our footnote or link off to

1154
01:01:23,560 --> 01:01:26,760
Speaker 1: the information in the episode that we just talked about.

1155
01:01:27,160 --> 01:01:30,560
Speaker 1: You can find the footnotes in the description of the episode.

1156
01:01:30,640 --> 01:01:32,960
Speaker 1: So if you're whatever you're listening to us on, just

1157
01:01:33,000 --> 01:01:36,920
Speaker 1: go to the episode look at the Informed mathion. Uh,

1158
01:01:36,960 --> 01:01:40,800
Speaker 1: and you will see links to sources of the stuff

1159
01:01:40,800 --> 01:01:45,040
Speaker 1: we're talking about. Uh, Miles. Yeah. We also link off

1160
01:01:45,040 --> 01:01:46,600
Speaker 1: to the song that we ride out on and you're

1161
01:01:46,600 --> 01:01:48,600
Speaker 1: about to tell us about that is Yes, this is

1162
01:01:48,600 --> 01:01:51,000
Speaker 1: a track from own Raw, who's uh you know, a

1163
01:01:51,000 --> 01:01:53,680
Speaker 1: little beatmaker, but this has like more of a vapor

1164
01:01:53,680 --> 01:01:55,840
Speaker 1: wave feel to it. A vapor wave is kind of

1165
01:01:55,880 --> 01:02:00,000
Speaker 1: like imagine you're in a haunted mall from the eighties. Uh,

1166
01:02:00,160 --> 01:02:02,200
Speaker 1: what the music was sound like in there? It's very

1167
01:02:02,320 --> 01:02:05,919
Speaker 1: like synthy but spooky, and this says that little synth

1168
01:02:06,040 --> 01:02:07,880
Speaker 1: vibe to it. I feel like I'm in an eight

1169
01:02:08,000 --> 01:02:11,800
Speaker 1: bit version of a Lamborghini puntosh driving through the City

1170
01:02:11,800 --> 01:02:13,720
Speaker 1: of Lights or something like that. It's just it's a

1171
01:02:13,800 --> 01:02:16,000
Speaker 1: very visual piece. And look, if you don't like that

1172
01:02:16,080 --> 01:02:18,360
Speaker 1: eight sound, just go away because this is the link.

1173
01:02:19,000 --> 01:02:23,280
Speaker 1: This is secretly yes by own Rock and Alexander Michael

1174
01:02:23,280 --> 01:02:25,480
Speaker 1: gave me that Shaggy I can I feel that it's

1175
01:02:25,480 --> 01:02:28,800
Speaker 1: not this fault, but I am no shaggy. Uh Cool.

1176
01:02:29,000 --> 01:02:30,800
Speaker 1: We're going to ride out on that. We will be

1177
01:02:30,840 --> 01:03:18,520
Speaker 1: back tomorrow because it is a daily podcast by your Love.

1178
01:03:19,640 --> 01:04:31,400
Speaker 1: When it's your love. When it's h h you love

1179
01:04:41,680 --> 01:05:27,720
Speaker 1: your love. This tempts Toto Totos