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Speaker 1: Hello the Internet, and welcome two season fifty four, episode

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Speaker 1: five of their Daily Night Guys for Friday, October two

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Speaker 1: thousand and eight. Team, my name's Jack O'Brien a k

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Speaker 1: Sometimes I take all the Shane talk like a drunk

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Speaker 1: Jack O'Brien Kanye, and I'm thrilled to be joined. As

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Speaker 1: always taught my co host Mr Miles Miles Gray, you

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Speaker 1: will find him stuck beneath the zacas in a Shampagne

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Speaker 1: super Nova in the sky. Thank you so much to

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Speaker 1: Dougy Fresh at Dragons or down one on Twitter for

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Speaker 1: that oassis os S inspired a man. I remember when

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Speaker 1: I first heard that song, like five years after it

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Speaker 1: had been like a hit on the radio, and I

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Speaker 1: was like, oh, this is so much better than wonder Wolf.

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Speaker 1: Wait you Champagns? Did you does not have album? I

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Speaker 1: stink story? Yeah I don't. I don't think I fully

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Speaker 1: appreciated Champagne Supernova. Yeah, and its first run on the radio.

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Speaker 1: That was the only other song I listened to him. Yeah,

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Speaker 1: it's a it's a good I'm deep walking down was

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Speaker 1: a deep seven trader fat slowly walking down the hall,

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Speaker 1: faster than a cannonball. It's like, wait, what do you do?

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Speaker 1: How can you do? Both? Thirteen can't handle this too much?

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Speaker 1: What we are throwing to be joined in our third seat?

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Speaker 1: The very funny, very smart Catherine Inspire, what's up? I'm

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Speaker 1: so glad that you set everyone up to think I'm

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Speaker 1: funny and smart than lot. Got a lot to live up.

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Speaker 1: I mean, if you're honest, I'd be like the questionable

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Speaker 1: who knows, I don't even know if that's a real name, right,

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Speaker 1: which would be fairer to me, I think, really, because

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Speaker 1: then I would only exceed expectations. The mediocre Catherine Spire. Welcome, Welcome, Welcome.

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Speaker 1: We've got mail? Uh what alright, it's a nineties tick

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Speaker 1: that I have. I have to complete. That file is done?

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Speaker 1: U all right, Katherine. We're going to get to know

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Speaker 1: you a little bit better in a moment, but first

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Speaker 1: we're gonna take our listening till our listener. I'm out

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Speaker 1: of practice, mom shot. I was out yesterday. Uh you guys.

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Speaker 1: The rumor that I was out because I saw these

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Speaker 1: packages being mailed around and just ran and hid somewhere

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Speaker 1: is it's not true? A very brave Uh. So we're

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Speaker 1: gonna take our listeners through what we're talking about today

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Speaker 1: the goal of our show. We're trying to tell you

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Speaker 1: what the nation is thinking and talking about what's on

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Speaker 1: America's mind and hiding in their unconscious. We use the headlines,

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Speaker 1: box Office reports, what's trending on Google and social media,

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Speaker 1: and today we are saying a fond farewell to one

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Speaker 1: man Again, Kelly, We're gonna look at a list of

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Speaker 1: the institutions that we have the most faith in in

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Speaker 1: America by party, because they're different depending on who you

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Speaker 1: vote for. We are going to talk about the mail

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Speaker 1: bomber and just all the different attempts to infer motive

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Speaker 1: on both sides. Uh. We're gonna talk about the New

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Speaker 1: York Times reporting that China and Russia are listening in

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Speaker 1: on Trump's phone calls, on his like third phone, on

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Speaker 1: his jitterbug. We're gonna talk about the Saudis continuing to

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Speaker 1: evolve story on the Hesho murder. Uh, We're gonna talk

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Speaker 1: about the caravan. We're gonna talk about Dorcas Riley, We're

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Speaker 1: gonna talk postmone We're gonna talk about so much today, guys,

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Speaker 1: there's a lot on our mind as a country. But first, Catherine,

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Speaker 1: what is something from your search history. That is revealing

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Speaker 1: about who you are. How to make money podcasting? Okay,

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Speaker 1: if anyone has any ideas, no clue. Yeah, I live here. Yeah,

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Speaker 1: you know, I have a podcast, and I decided that

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Speaker 1: that was good enough to start a podcast network off of.

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Speaker 1: So now I have that, and I'm like, oops, hey,

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Speaker 1: welcome to the club. Yeah, we gotta start hanging out. No,

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Speaker 1: I'm just joking, but I could hang out. No, No,

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Speaker 1: I was totally joking about hanging out. That will never happen. Catherine,

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Speaker 1: What is something that you think is overrated? Micro docing?

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Speaker 1: Micro dough is overrated over micro docing LSD yep yea

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Speaker 1: or mushrooms or what happened yeah for mega doocing, yeah,

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Speaker 1: megadcing only. I think my problem with it is less

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Speaker 1: like the taking of the drugs itself. It's the way

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Speaker 1: it's becoming more talked about, more popular now. It's all

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Speaker 1: these like Silicon Valley tech bros saying that they do

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Speaker 1: LSD to be more productive at work, sucking narcs. Stop it.

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Speaker 1: If you're going to take drugs, do it for good reasons,

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Speaker 1: not to like increase her Yeah. I loved it, well,

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Speaker 1: not LSD. I was doing mushrooms, and I did it

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Speaker 1: for a few months because I have like anxiety and

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Speaker 1: like concentration issues. So I did it for all of

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Speaker 1: these business reasons, and I was like, I'm the least

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Speaker 1: spiritual person on the planet right now, why don't do

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Speaker 1: it more effective at work? Yeah, I wouldn't do it

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Speaker 1: as a thing to be like, if I do this

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Speaker 1: little bit of LSD, it's going to help my job.

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Speaker 1: I think, if anything, you can. I did the same

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Speaker 1: thing when I was working on a story like at Playboy,

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Speaker 1: because that's that Rolling Stone article came out a few

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Speaker 1: years ago when it was like micro dosing is the

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Speaker 1: new adderall or whatever, And so we met with this

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Speaker 1: guy James Fadiman, who's like the godfather of psychedelic research,

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Speaker 1: and we micro dosed at his house, and like having

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Speaker 1: him kind of walk through what was sort of going

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Speaker 1: on helped me understand a little bit better how like

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Speaker 1: what the benefits were. But I wasn't like, oh, yeah,

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Speaker 1: I'm going to operate like this all day, like I

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Speaker 1: think it could help if I think it probably worked

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Speaker 1: better for creative people or if you're a writer, because

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Speaker 1: I noticed a lot of self editing or sort of

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Speaker 1: the facilitating anxiety went away. That's what I was trying

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Speaker 1: to do, is have less anxiety. But the thing too

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Speaker 1: with mushrooms is that like if you get a basket

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Speaker 1: of strawberries, you know, most of the strawberries are gonna

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Speaker 1: be like, these are good strawberries, and some are going

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Speaker 1: to blow your mind, and so I'm gonna, oh, what

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Speaker 1: did I just eat. It's the same with like these drugs,

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Speaker 1: not uniform across the board. Yeah, Like so some days

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Speaker 1: I feel really sick and one time I was like

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Speaker 1: friends with a neon alligator. So oh yeah, you may

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Speaker 1: have so you may have pushed pack past the perceptual

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Speaker 1: thresholds of using psychedelics, which is when you start tripping

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Speaker 1: and not really getting the micro dosing benefits. You know,

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Speaker 1: but how are you supposed to know if you accidentally too.

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Speaker 1: I mean, that's why I think LSD is easier, because

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Speaker 1: what you do, yeah, and you know, like you're you're

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Speaker 1: deluding it at a certain level, and distilled water and

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Speaker 1: then from they're only taking like two drops and then

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Speaker 1: you can kind of regulate. But you have mushrooms are

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Speaker 1: a little bit more thanks game. I still think that

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Speaker 1: I'm just no one do it to work better? No, No,

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Speaker 1: and anyone who like it's like, dude, it's my fucking

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Speaker 1: secret what I do instead of like, sir, I only

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Speaker 1: came up to you because I said, you missed my

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Speaker 1: stop and you're driving a bus um miles when you

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Speaker 1: were hanging out. So you're hanging out at the Timothy

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Speaker 1: Leary of micro doz things me and rom days and

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Speaker 1: then like did you guys do math problems? What? What?

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Speaker 1: We did all kinds of stuff. So first we started

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Speaker 1: trying to juggle to see, like just to test our coordination. Uh.

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Speaker 1: And then we did other things like board games like

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Speaker 1: simple sort of like motor skill tests, like so we

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Speaker 1: played Operation and timed how quickly we could clear the

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Speaker 1: board and how many mistakes we made, or play Boggle

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Speaker 1: or Yatzi, which are like more like number of word things.

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Speaker 1: And I can't juggle at all, So like I went

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Speaker 1: into this being like dude, I'm I don't care how

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Speaker 1: much L S D I do. I'm gonna start juggling,

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Speaker 1: and if I do, then you have a new customer.

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Speaker 1: But my friend did who we did it together, and

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Speaker 1: he could juggle and he could do it like for

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Speaker 1: a couple of seconds, and then after like an hour

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Speaker 1: into us micro dozing, he did it like he almost

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Speaker 1: couldn't stop because he was just sort of like he

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Speaker 1: just didn't think about it, and I for the first

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Speaker 1: time got two balls going at one time, so it

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Speaker 1: was it was a step forward. But the biggest thing

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Speaker 1: was like how much better I was at operation because before,

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Speaker 1: as he was talking to Dr Fadiman is like, well,

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Speaker 1: so what were you thinking when you were just doing it,

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Speaker 1: like when you were sober or not micro dosing? I

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Speaker 1: was just like, I don't know, just get it out

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Speaker 1: as quickly as possible. But then I was worrying about

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Speaker 1: my technique how do I approach each thing? And the

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Speaker 1: next time I did it, as he was sort of

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Speaker 1: having me talk through what was going on, I was

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Speaker 1: just sort of doing I wasn't thinking about it, and

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Speaker 1: it was just less. There was just less thought going

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Speaker 1: into things and more just kind of trusting myself a bit.

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Speaker 1: But it's really funny because apparently that's the difference between

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Speaker 1: doctors and surgeons, is that like trope about surgeons being

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Speaker 1: kind of dumb. I just did it right. I'm hoping

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Speaker 1: I could fire. But yeah, it was like those other

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Speaker 1: things and then also too, I found like, even when

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Speaker 1: you were on camera, and you know, when I'm on

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Speaker 1: you're performing to a certain extent. And once he pointed

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Speaker 1: out to us, he's like before he started micro dosing,

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Speaker 1: when you were interviewing me, you were just you were

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Speaker 1: sat up like this, and you were like very much

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Speaker 1: like trying to get through your questions. You had everything

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Speaker 1: figured out. And I was literally I was like reclined.

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Speaker 1: I was so much my body language is so relaxed,

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Speaker 1: and I was just telling that conversation. Yeah, but it

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Speaker 1: was little things. And then the beast move I did

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Speaker 1: is I backed out Mercedes sprinter van with no rear

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Speaker 1: view camera down the narrowest alley. None of the crew

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Speaker 1: wanted to do it to mess up the rental car,

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Speaker 1: and I was like, get me behind the wheel, and

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Speaker 1: I finessed that thing out of the tightest driveway with anyway.

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Speaker 1: But I'm not saying it's going to make you a

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Speaker 1: superhero by any means. If anything, at best, you might

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Speaker 1: do better at operation. All right, Yeah, so it's a

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Speaker 1: performance enhancing drug for operation, but also there are you know,

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Speaker 1: as we're seeing, there are many other benefits for a

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Speaker 1: number of issues. For people's mental states as well. That's

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Speaker 1: more ye. I think that's where Yeah, because I think

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Speaker 1: recently the ft A just was sort of like being like, okay,

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Speaker 1: well you test it on people who are terminally ill anyway,

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Speaker 1: so it's a limited group. But apparently it actually makes

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Speaker 1: fear of death go away for the terminally also. I

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Speaker 1: think that's wonderful. That's amazing. Yeah, but is that micro

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Speaker 1: dosing makes No, that's one where they give you a

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Speaker 1: ship ton for one day, but apparently just being high

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Speaker 1: for eight hours and then you're not afraid of death anymore,

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Speaker 1: which everyone should do. Absolutely. What is something you think

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Speaker 1: is underrated? Um? Sort of gentle Canadian comedies super into

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Speaker 1: my Canadian sitcoms right now, specifically Kim's Convenience and Ships Create.

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Speaker 1: There's something about both those shows that I don't know

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Speaker 1: anything about Canada, but I like to think it's that

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Speaker 1: they're Canadian. They just have the gentlest jokes. Yeah, they're

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Speaker 1: just so pleasant. You just sit down and have a

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Speaker 1: nice time, And that's what I'm looking for right now,

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Speaker 1: just trying to find a nice time. I don't know.

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Speaker 1: Kim's Convenience it's on Netflix, it is, Yeah, that's the

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Speaker 1: only reason I saw it because is it airing in

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Speaker 1: the US? No? Netflix? Right, No, I don't think so.

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Speaker 1: And it's just about this Korean Canadian family and they

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Speaker 1: own a little shop and they go to church. And

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Speaker 1: the one tension is that like the son and the

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Speaker 1: father don't talk, but they're they're kind of working their

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Speaker 1: way back to each other. It's just like the nicest

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Speaker 1: stuff going on. Yeah. Yeah, it's not like he was

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Speaker 1: a science teacher who a cancer to start making maths

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Speaker 1: exactly exactly. They're really doing the work of just being

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Speaker 1: an escape for people, yes, which I like that sounds

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Speaker 1: hips Creak is great too. And I read that she

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Speaker 1: didn't want to do a TV series because she's like,

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Speaker 1: I don't want to be locked down, and they were like,

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Speaker 1: we'll let you do whatever you want with the character.

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Speaker 1: And you can tell when she's she is so funny.

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Speaker 1: She's amazing in this show. Is it an improvised show?

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Speaker 1: I think they I think they have room to improvise.

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Speaker 1: It's very much scripted. And Eugene Leav's son is super hot.

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Speaker 1: Who knew bonkers wild sex? What is a myth? What's

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Speaker 1: something people think is true that you know to be false? Superfoods,

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Speaker 1: just the idea of them, The idea that like you

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Speaker 1: could start eating a berry or a seed every day

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Speaker 1: and then it'll change your life in any way whatsoever,

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Speaker 1: not going to happen. Right, there are some foods that

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Speaker 1: if you ate two pounds of it raw every day,

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Speaker 1: could maybe help your health a little bit, things like broccoli.

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Speaker 1: Do not eat two pounds of raw broccoli every day?

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Speaker 1: And you should let people know that you You know,

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Speaker 1: you have a background of food like I don't with antioxidants. Yes,

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Speaker 1: I mean, sure, eat your vegetables. But now I'm a

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Speaker 1: food writer and a food podcaster, so you don't have

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Speaker 1: to trust me, but you should know that. It's the

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Speaker 1: thing that I read about all day every day. Yeah, right,

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Speaker 1: what is a thing that people could that maybe is

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Speaker 1: there an underrated food? I guess along that line where

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Speaker 1: people I think, like just or maybe something about your

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Speaker 1: diet that we don't realize. Very tiny doses of LST. Right,

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Speaker 1: just dose everything in an eye dropper. Fantastic, And I've

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Speaker 1: been doing that. I think if people try and lose

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Speaker 1: weight or whatever. I don't know this idea of like

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Speaker 1: eating certain things, I really think it's like, don't ever

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Speaker 1: eat anything that was like prepackaged and processed. Just about

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Speaker 1: health in general, not weight loss. So McDonald's is good. Yeah, no, no,

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Speaker 1: well no, it tastes good. Here's the like all this

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Speaker 1: stuff with being a food writer and like being a

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Speaker 1: food snob and stuff. I hate it when people say

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Speaker 1: stuff like that McDonald's doesn't taste good. Yes, what people

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Speaker 1: say that, and they're lying if for no other reason.

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Speaker 1: McDonald's employs like the best and the brightest scientists in

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Speaker 1: the world and pays the millions of dollars a year

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Speaker 1: to develop things that taste good. Exactly, it tastes good.

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Speaker 1: And now with that triple stack breakfast, watch them in

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Speaker 1: there like swimwear. All right, let's get into the stories

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Speaker 1: of the day. Guys. It's time to say posh to

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Speaker 1: Megan Kelly. Oh, Megan, she gone uh so for I

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Speaker 1: think people were expecting her to get canceled fairly soon

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Speaker 1: because the ratings were not going well and they were

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Speaker 1: paying her an obscene amount of money. But she did

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Speaker 1: not do herself any favors with her defensive black face

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Speaker 1: and then her apology, which started out by equating black

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Speaker 1: people dressing up as lighter people with white people dressing

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Speaker 1: up in black face. Yeah, yeah, yeah, well you know,

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Speaker 1: she she she has to show it's not just there

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Speaker 1: are other people doing bad too. It can't just be

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Speaker 1: me and my shitty worldview. There are also people on

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Speaker 1: the other side, and sure, maybe that could be distasteful,

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Speaker 1: but they're not even comparable little Missmayan. And then the

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Speaker 1: way she yesterday was like and then I found out

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Speaker 1: yesterday that blah blah blah. I'm like, oh, okay, you

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Speaker 1: found out yesterday, and then did the Dave Chappelle. I'm sorry,

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Speaker 1: I didn't know. I couldn't do that offense. And that

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Speaker 1: defense apparently doesn't hold up in court or the court

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Speaker 1: of public opinion, or at least NBC News. But she'll

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Speaker 1: still get her obscene sixty nine million dollars worth of

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Speaker 1: her contract paid out. So what I didn't understand is

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Speaker 1: did she think she was like being a badass when

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Speaker 1: she was like, well, I don't know what's wrong with

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Speaker 1: black face, because she really that stupid. I think so

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Speaker 1: I think she's that I think that is her worldview, right,

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Speaker 1: is that I think she doesn't think that the like

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Speaker 1: white supremacy is as pervasive or has like these longstanding

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Speaker 1: effects on people that it does, and she's like, well,

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Speaker 1: I look around and everything's fine. Black people are millionaires.

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Speaker 1: What's wrong with you a little black face? I don't know. Yeah,

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Speaker 1: I guess I'm doing the thing where I'm thinking that

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Speaker 1: because she's rich, that she's smart, that like common American

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Speaker 1: mistake that we make. But she could just be that

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Speaker 1: because I read that she was like saying that NBC

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Speaker 1: was being hypocritical for punishing her when they aired footage

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Speaker 1: of the Real house was of New York in black face,

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Speaker 1: which is what god it all started. The conversation started

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Speaker 1: in the first place, and like, do you think your

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Speaker 1: job is the same as a Real Housewives of New

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Speaker 1: York right right? That out loud? You don't deserve your job,

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Speaker 1: then you should be fine. Yeah, I don't know. I

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Speaker 1: do think that this had to have been at least

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Speaker 1: partially a calculated risk by her and like some producer

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Speaker 1: being like, look, we need to like court controversy, Like

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Speaker 1: what's a controversial take that you think you can like

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Speaker 1: back up? And because there's no way that she just

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Speaker 1: hadn't been aware of black face. No, I don't buy that.

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Speaker 1: I think that she does believe that it's not as

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Speaker 1: bad as everyone's outraged about it. I think that's her

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Speaker 1: stance on it, and I think she does know. Yeah,

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Speaker 1: I get that that's that's you know, it has a

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Speaker 1: historical legacy. But like, really, guys, like I feel like

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Speaker 1: that's that was her attitude towards it. It's like, come on, Like,

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Speaker 1: I wonder if her viewer numbers went up after that

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Speaker 1: whole Santa Claus can only be white thing and she

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Speaker 1: thought she would try that again. Yeah, oh yeah. A

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Speaker 1: few years ago, she got in a fight on her

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Speaker 1: old show about what was it. It was about Santa

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Speaker 1: Claus being different races and different malls, and she said

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Speaker 1: and she was like, but Santa's white, right, Okay, yeah,

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Speaker 1: no that makes sense then. Yeah, I mean that definitely

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Speaker 1: boosted her ratings on Fox News for short. Yeah, maybe

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Speaker 1: she decided, I mean, there's a reason that they have

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Speaker 1: staged Wag the Dog style a war on Christmas for

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Speaker 1: the past like decade, that the liberal left is trying

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Speaker 1: to take away our Christmas because yeah, their viewers eat

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Speaker 1: that ship. Oh yeah, it's wild how bad her ratings were,

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Speaker 1: or at least like what they saw from her going

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Speaker 1: from her Fox show and thinking like okay because that

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Speaker 1: show what was getting two point seven million? Two point

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Speaker 1: seven million, and then I just knew that off the

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Speaker 1: top of that, yeah, and how much was their NBC

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Speaker 1: show getting two point four So she went down. I

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Speaker 1: think they're was once we take her from this small

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Speaker 1: cable outlet to you know, mainstream, she's going to be

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Speaker 1: exposed to a lot of new people and they're all gonna,

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Speaker 1: you know, come on board. And it was actually just

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Speaker 1: like three thousand people who are fans of hers back

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Speaker 1: at Fox News were like, nah, she sold out, and

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Speaker 1: then like the rest of them came over and everybody

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Speaker 1: else was like, oh, no, we knew about Megan Kelly

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Speaker 1: need Yeah, no, we knew about her. You guys can

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Speaker 1: just keep her. And then from Jump Street, like wasn't

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Speaker 1: one of the first episodes when Jane Fonda came on

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Speaker 1: and then and that was like that set the stage

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Speaker 1: for like everyone being like yes, and then there was

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Speaker 1: like then I remember the next thing was like Will

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Speaker 1: and Grace for that reboot came on and someone was

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Speaker 1: talking about how they like they had I think come

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Speaker 1: out or something because of seeing like Jack on Will

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Speaker 1: and Grace or something, and then she was like, oh, yeah,

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Speaker 1: like I think the gay thing is really gonna work

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Speaker 1: out great for you or something like that. Oh my god,

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Speaker 1: I think she's one of those assholes who thinks she's funny. Yes,

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Speaker 1: says mean things to people and weird. And also she's

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Speaker 1: a morning show right, like the whole like Kelly Rippa

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Speaker 1: is bubbly right right right like. And if you're going

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Speaker 1: to do the whole like blonde news anchor thing in

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Speaker 1: the morning, you have to be like a self friendly yeah,

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Speaker 1: not like Lucille Bluth in the Morning. Basically she was

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Speaker 1: kind of like a young Lucial Blue. Well, she's kind

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Speaker 1: of no bullshit. And then if you she's not going

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Speaker 1: to be like oh ha ha, like everything will be

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Speaker 1: like I'm gonna fucking dig in here. Yeah, really get

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Speaker 1: into it. Yeah, but also just will gladly god, I

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Speaker 1: would stick a knife and I would pay to see

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Speaker 1: Lucile Bluth in the Morning. That was a show, like

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Speaker 1: my god, And that's just the name of it. Yeah yeah,

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Speaker 1: and it's it's hosted by Al Roker. I don't care

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Speaker 1: the name. I'm just ep by luc that's executive produced

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Speaker 1: for non Hollywood people. You guys knew that, all right,

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Speaker 1: let's talk about the institutions that we trust here in America. Yeah,

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Speaker 1: is a bummer. Yeah, who did this poll? Uh? This

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Speaker 1: was a poll by the john S and James el

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Speaker 1: Knight Foundation in George Town Universities Baker Center for Leadership

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Speaker 1: and Governance. Damn, you just sounded like a NPR interstitial

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Speaker 1: than so much brought to you by kale um And Yeah,

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Speaker 1: I think they They used the firm you gov and

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Speaker 1: they did online interviews from June twelve to July nine

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Speaker 1: and basically asked people how they felt about certain institutions,

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Speaker 1: ranging from at the top, you know, like the executive

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Speaker 1: branch religion, banks, major companies, local police, down to nonprofits, Facebook, Amazon, Google, Labor, FBI, colleges,

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Speaker 1: the press. And the results are man like the partisan

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Speaker 1: gaps on some of these things are very pronounced, and

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Speaker 1: it's very interesting to see who the most trusted institution

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Speaker 1: is for either party. Yeah, so on the right, not

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Speaker 1: totally surprising. The most trusted institution of the military by far,

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Speaker 1: blessed the true by by by far. On the left,

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Speaker 1: come on the left, right, we need to try harder.

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Speaker 1: Their most trusted institution is Amazon. That we're not gonna

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Speaker 1: make it oh why. Their next is colleges and universities,

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Speaker 1: which seems defensible, and then the military. But what's funny

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Speaker 1: for the Republicans to Amazon's three? Yeah, yeah, we're all

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Speaker 1: messed up. We're all fucking on that Jeff Bezos teeth.

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Speaker 1: But I also there's so much I don't understand. Like

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Speaker 1: we're talking about who do you trust more? The military

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Speaker 1: or Amazon? That's the real apples or oranges type situation.

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Speaker 1: And I think it's just more like the language that

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Speaker 1: they used to describe it. There was less negative sentiment,

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Speaker 1: like it was a combination of things that generally they

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Speaker 1: use that to create a metric about confidence versus like

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Speaker 1: who do you inherently trust more with your safety? Amazon

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Speaker 1: or the middle right? Yeah yeah, but even putting them

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Speaker 1: on the same playing field, I guess. But except for

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Speaker 1: why maybe it makes total sense. They're both huge organizations

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Speaker 1: that employ many people and are responsible for so much

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Speaker 1: money and provide things with for people. It's uh, it's

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Speaker 1: just like in a way like I feel like that's

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Speaker 1: what the future civil war is. It's like Amazon versus

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Speaker 1: the military. That's our sky net y. Yeah, yeah, no, absolutely,

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Speaker 1: what is the thing Democrats are alway so embarrassing on

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Speaker 1: So a big difference is how the right feels towards

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Speaker 1: the press. Now you're not going to believe this, guys,

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Speaker 1: but their least trusted institution on the right is the press,

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Speaker 1: just the press at large, and they're the seventh most

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Speaker 1: trusted or sixth most trusted on the left. So still

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Speaker 1: not doing and the left least trusted. I mean this

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Speaker 1: makes sense. The executive and the executive branches the fourth

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Speaker 1: most trusted on the right, of course, after Amazon, though

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Speaker 1: after Amazon because they know they know a real billionaire

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Speaker 1: when they seem at the yep down now they deep

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Speaker 1: down they know local police is the rights second most trusted. Yeah,

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Speaker 1: and for the left it's colleges and universities. I mean

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Speaker 1: it all kind of like most of these kind of

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Speaker 1: makes sense. Like, yeah, that's the Amazon thing that I'm

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Speaker 1: still trying to wrap my head around a little bit,

424
00:23:13,200 --> 00:23:16,360
Speaker 1: you know, Like I get that you're like, well, when

425
00:23:16,400 --> 00:23:19,680
Speaker 1: I say next day Prime, it shows up, and when

426
00:23:19,720 --> 00:23:23,240
Speaker 1: they don't, they text me and they're like, we fucked up.

427
00:23:23,280 --> 00:23:25,200
Speaker 1: It's coming the next day. And here's a little ten

428
00:23:25,280 --> 00:23:27,879
Speaker 1: percent thing to make you feel good. I don't know

429
00:23:27,880 --> 00:23:32,440
Speaker 1: if like just because of customer service. But we're also easy.

430
00:23:32,560 --> 00:23:36,399
Speaker 1: We're just easy, for sure. And it could just be

431
00:23:36,400 --> 00:23:38,040
Speaker 1: because for some people, especially like if you live in

432
00:23:38,040 --> 00:23:40,040
Speaker 1: a remote part of the country or something like, having

433
00:23:40,080 --> 00:23:43,280
Speaker 1: something like Amazon probably does really help you in some

434
00:23:43,359 --> 00:23:46,200
Speaker 1: way by being able to get goods quickly or whatever.

435
00:23:46,240 --> 00:23:49,400
Speaker 1: But I mean, come on, though, like as an institution,

436
00:23:49,840 --> 00:23:53,440
Speaker 1: they made millions and millions of people's lives more convenient,

437
00:23:53,560 --> 00:23:55,920
Speaker 1: and most of them don't have to work for Amazon.

438
00:23:56,520 --> 00:24:00,399
Speaker 1: That's the other funny things for them. But ye, I

439
00:24:00,400 --> 00:24:03,639
Speaker 1: mean this is probably something that needed to happen for

440
00:24:03,720 --> 00:24:06,879
Speaker 1: Jeff Bezos to be able to come but otherwise I

441
00:24:06,880 --> 00:24:10,399
Speaker 1: don't know what impact it has. Just looks at the

442
00:24:10,440 --> 00:24:16,760
Speaker 1: stats of this. Yes, yeah, number one. I was surprised

443
00:24:16,840 --> 00:24:20,199
Speaker 1: that banks are one of the rights most trusted, like

444
00:24:20,240 --> 00:24:23,080
Speaker 1: the fifth most trusted thing on the right, like after

445
00:24:23,119 --> 00:24:25,399
Speaker 1: the financial collapse. I think they're like, I like my

446
00:24:25,440 --> 00:24:29,280
Speaker 1: credit union, you think I do. I have this thing

447
00:24:29,680 --> 00:24:32,119
Speaker 1: where I almost like the sounds kind of crazy. I

448
00:24:32,119 --> 00:24:34,640
Speaker 1: feel like leftists and right us have totally different brains,

449
00:24:34,680 --> 00:24:40,040
Speaker 1: like different operational systems. Almost for Republicans, people who choose

450
00:24:40,040 --> 00:24:41,920
Speaker 1: to be Republicans are people who are like I believe

451
00:24:41,920 --> 00:24:46,040
Speaker 1: in institutions, right, experiences don't matter. It is a bank

452
00:24:46,240 --> 00:24:52,200
Speaker 1: ergo it is good, right. M hmm, yeah, that's probably true. Um,

453
00:24:52,280 --> 00:24:55,040
Speaker 1: the press is an institution. But what's funny is would

454
00:24:55,040 --> 00:24:58,560
Speaker 1: you talk to the right for me? Nonprofits are right

455
00:24:58,600 --> 00:25:01,679
Speaker 1: after banks for the right though too. Yeah, you know,

456
00:25:02,840 --> 00:25:03,960
Speaker 1: I don't know. I don't know what to make it

457
00:25:04,000 --> 00:25:05,760
Speaker 1: this all. The only thing that really sticks out is

458
00:25:05,800 --> 00:25:09,840
Speaker 1: that Amazon is the left one true god. All right,

459
00:25:09,920 --> 00:25:11,880
Speaker 1: we're gonna take a quick break. We'll be right back,

460
00:25:22,040 --> 00:25:26,720
Speaker 1: and we're back. And as we record this, the number

461
00:25:26,760 --> 00:25:30,520
Speaker 1: one and number five top trending thing on Google Trends

462
00:25:30,960 --> 00:25:34,760
Speaker 1: are George Soros at number one and then Soros at

463
00:25:34,840 --> 00:25:39,199
Speaker 1: number five. So there's a couple of reasons for that.

464
00:25:39,240 --> 00:25:42,080
Speaker 1: We'll start with one of the stories. The mail bomber

465
00:25:42,200 --> 00:25:46,720
Speaker 1: story continues to unfold in kind of a ridiculous way.

466
00:25:47,000 --> 00:25:50,520
Speaker 1: The latest bombs went to Joe Biden, which is kind

467
00:25:50,560 --> 00:25:55,119
Speaker 1: of not that surprising, but also Robert de Niro because

468
00:25:55,119 --> 00:25:59,440
Speaker 1: he said that screw Trump thing, fuck Trump, yeah, which

469
00:25:59,480 --> 00:26:04,960
Speaker 1: just seems like petty almost, but they're trying to bomb

470
00:26:05,000 --> 00:26:09,800
Speaker 1: de Niro. Um, but I don't know the mistake to me,

471
00:26:09,880 --> 00:26:13,520
Speaker 1: seems to be to try to assume anything about the

472
00:26:13,600 --> 00:26:18,920
Speaker 1: motives of any male bomber, because mail bomb people who

473
00:26:18,960 --> 00:26:22,840
Speaker 1: like attack people through the mail always end up being

474
00:26:23,200 --> 00:26:27,359
Speaker 1: like having the most confusing, fucked up, unexpected motives. The

475
00:26:27,400 --> 00:26:29,960
Speaker 1: Anthrax mailer, we were like, well, it's clearly al Qaeda

476
00:26:30,080 --> 00:26:32,960
Speaker 1: because nine eleven just happened, and it was just like

477
00:26:33,040 --> 00:26:36,320
Speaker 1: some I mean, we haven't like officially solved it, but

478
00:26:36,680 --> 00:26:39,160
Speaker 1: most people think it's this guy who killed himself once

479
00:26:39,240 --> 00:26:42,880
Speaker 1: people started looking at him, and he was a scientist

480
00:26:43,040 --> 00:26:46,040
Speaker 1: who was just sending it because of like weird grievances

481
00:26:46,080 --> 00:26:48,760
Speaker 1: he had against a bunch of people, including like a

482
00:26:48,880 --> 00:26:52,080
Speaker 1: sorority from like his college or something that he thought

483
00:26:52,160 --> 00:26:54,840
Speaker 1: mistreated him. There was a woman a few years back

484
00:26:54,840 --> 00:26:57,800
Speaker 1: who mailed a bomb to Obama, but it turned out

485
00:26:57,800 --> 00:27:00,680
Speaker 1: it was only to frame her husband. Uh. And then

486
00:27:00,720 --> 00:27:03,520
Speaker 1: the Uni bomber turned out to be a nineteenth century

487
00:27:03,600 --> 00:27:06,920
Speaker 1: Luddite and just hated Harvard. Yeah, he's just like fuck you.

488
00:27:07,920 --> 00:27:10,840
Speaker 1: So I don't know any any but how could you

489
00:27:10,880 --> 00:27:12,720
Speaker 1: look at these all these people who have been on

490
00:27:12,760 --> 00:27:15,359
Speaker 1: the receiving end and if even at the wackiest we

491
00:27:15,440 --> 00:27:18,600
Speaker 1: have a narrative where you're like, uh, that's weird. It

492
00:27:18,720 --> 00:27:21,639
Speaker 1: uniquely ended up being all of these people without it

493
00:27:21,720 --> 00:27:24,320
Speaker 1: having some kind of partisan bend to it. Yeah, no,

494
00:27:24,480 --> 00:27:27,600
Speaker 1: it definitely like, you know, blow that argument up. No,

495
00:27:27,760 --> 00:27:30,200
Speaker 1: it definitely seems like it does. We just don't know

496
00:27:30,720 --> 00:27:35,320
Speaker 1: who or what explicit I mean, assuming it's a mentally

497
00:27:35,359 --> 00:27:39,640
Speaker 1: ill person, because the you know, writing and all, like

498
00:27:40,000 --> 00:27:43,720
Speaker 1: a lot of the details of this make it seem

499
00:27:43,800 --> 00:27:47,320
Speaker 1: like it the person might not be fully stable. Who

500
00:27:47,359 --> 00:27:49,320
Speaker 1: knows if it's a mentally ill person. On the left

501
00:27:49,440 --> 00:27:52,880
Speaker 1: trying to say, you know, it just doesn't to fuel

502
00:27:52,960 --> 00:27:55,240
Speaker 1: the narrative that like, hey man, people on the right

503
00:27:55,280 --> 00:27:57,719
Speaker 1: they're really trying to come after and yeah, we just

504
00:27:57,880 --> 00:28:02,119
Speaker 1: don't know. But that has not stopped the right from

505
00:28:02,160 --> 00:28:06,840
Speaker 1: immediately assuming that it's a false flag. There was a

506
00:28:06,880 --> 00:28:10,480
Speaker 1: woman at a rally that was holding up a sign

507
00:28:10,520 --> 00:28:15,520
Speaker 1: that said Democrats fake news, fake bombs. Oh is that

508
00:28:15,560 --> 00:28:18,439
Speaker 1: isn't that what lou Dobbs tweeted? And then to delete it.

509
00:28:18,640 --> 00:28:21,439
Speaker 1: Oh yeah, well so that's how quickly ship travels. Like

510
00:28:21,480 --> 00:28:23,600
Speaker 1: he did that and he was like, I'm gonna delete that,

511
00:28:23,920 --> 00:28:26,160
Speaker 1: and then it ends up being on someone's cardboard box

512
00:28:26,240 --> 00:28:27,960
Speaker 1: outside of a rally. I think most of the blue

513
00:28:28,000 --> 00:28:32,040
Speaker 1: Dabs tweets come from cardboard Box actually, but yeah, I

514
00:28:32,080 --> 00:28:35,080
Speaker 1: mean that was the thing Russia. Limbaugh was saying. It's

515
00:28:35,160 --> 00:28:38,600
Speaker 1: just wild that. I mean, again, we don't know who

516
00:28:38,720 --> 00:28:41,000
Speaker 1: or why these bombs are being sent, but it would

517
00:28:41,080 --> 00:28:43,880
Speaker 1: seem like it's being sent at people who have criticized Trump.

518
00:28:44,000 --> 00:28:45,560
Speaker 1: So you would think they would be the ones who

519
00:28:45,560 --> 00:28:48,800
Speaker 1: would be like, let's not like go pointing any fingers, guys,

520
00:28:48,840 --> 00:28:52,200
Speaker 1: But instead they're like, it's probably you guys, almost definitely

521
00:28:52,200 --> 00:28:57,600
Speaker 1: it's the left. So just it's wild, man like on

522
00:28:57,640 --> 00:29:00,400
Speaker 1: some level, like we can't even agree across the aisle

523
00:29:00,480 --> 00:29:04,320
Speaker 1: that political terrorism is a bad in general. Like they

524
00:29:04,360 --> 00:29:06,920
Speaker 1: couldn't even come and be like, yes, I would say

525
00:29:06,960 --> 00:29:09,920
Speaker 1: that sending a bomb to someone would count as an

526
00:29:09,920 --> 00:29:14,400
Speaker 1: act of some kind of a terrorist about it fake

527
00:29:15,160 --> 00:29:18,040
Speaker 1: based off their political views. And it's like even Ben Sass,

528
00:29:18,080 --> 00:29:21,880
Speaker 1: who I fucking highly dislike his politics, was even like, hey,

529
00:29:22,040 --> 00:29:25,680
Speaker 1: I we gotta at least say like terrorism politically motivate

530
00:29:25,800 --> 00:29:29,440
Speaker 1: terrorism is not good, which is you know, but again

531
00:29:29,480 --> 00:29:32,560
Speaker 1: you have people still caping for this idea that it's

532
00:29:32,560 --> 00:29:34,760
Speaker 1: just like this false flag, like you guys are doing

533
00:29:34,800 --> 00:29:36,800
Speaker 1: it to try and win the midterms thing. It's like,

534
00:29:37,360 --> 00:29:39,280
Speaker 1: I get that it looks bad for the right, but

535
00:29:39,560 --> 00:29:43,680
Speaker 1: you can still be decent and just say like, hey, yeah,

536
00:29:43,880 --> 00:29:47,520
Speaker 1: the this isn't good. That doesn't mean you've instantly confessed

537
00:29:47,560 --> 00:29:50,280
Speaker 1: to like causing the motivation for someone to do this. Well,

538
00:29:50,280 --> 00:29:52,040
Speaker 1: it makes me wonder if either the person who's doing

539
00:29:52,040 --> 00:29:54,200
Speaker 1: this or a copycat is going to start sending bombs

540
00:29:54,200 --> 00:29:59,120
Speaker 1: to Republicans, you like, throw us off the chase or whatever. Yeah.

541
00:29:59,200 --> 00:30:02,280
Speaker 1: I mean, so, the latest details of the actual investigation

542
00:30:02,680 --> 00:30:05,080
Speaker 1: make it seem like this is not going to be

543
00:30:05,120 --> 00:30:08,880
Speaker 1: a hard case to solve. They're saying that anybody who

544
00:30:09,320 --> 00:30:14,600
Speaker 1: uh sends this many devices and they remain unexploded will

545
00:30:14,640 --> 00:30:18,000
Speaker 1: probably have left behind a number of you know, genetic

546
00:30:18,320 --> 00:30:23,800
Speaker 1: markers that we'll be able to be used. And actually,

547
00:30:23,880 --> 00:30:33,200
Speaker 1: Larry Johnson, a former head of criminal Investigation and thank Grandmam, said,

548
00:30:33,640 --> 00:30:35,880
Speaker 1: if there is a human involved, there is a high

549
00:30:35,920 --> 00:30:39,200
Speaker 1: probability you're going to get somewhere investigatively. There will be

550
00:30:39,240 --> 00:30:41,760
Speaker 1: no stone left unturned. It's just weird that he like

551
00:30:41,920 --> 00:30:44,280
Speaker 1: opened up with a hint of like could be a

552
00:30:44,280 --> 00:30:50,400
Speaker 1: fucking cyborg. There is a human involved time traveling and

553
00:30:50,440 --> 00:30:52,560
Speaker 1: you forgot what are you're in there? Like, oh, this

554
00:30:52,640 --> 00:30:55,680
Speaker 1: is before Amazon took over the world. Um, yes, a

555
00:30:55,880 --> 00:31:00,959
Speaker 1: human being, probably a human If there is a human involved,

556
00:31:01,400 --> 00:31:05,320
Speaker 1: most certainly there is, yes, almost definitely. Yeah. I mean, hey,

557
00:31:05,360 --> 00:31:08,440
Speaker 1: I'm willing to say that maybe there's something new and

558
00:31:08,480 --> 00:31:10,320
Speaker 1: this could be the beginning of a really great sitcom.

559
00:31:10,440 --> 00:31:14,080
Speaker 1: Life is a constant surprise. Yeah, really like a hurricane

560
00:31:14,320 --> 00:31:19,080
Speaker 1: kind of. Has anybody looked into Debbie Wasserman Schultz the

561
00:31:19,160 --> 00:31:22,120
Speaker 1: return address? I mean, what if that like in the

562
00:31:22,160 --> 00:31:24,440
Speaker 1: person's mind, who is sending it, Like, did they think

563
00:31:24,480 --> 00:31:26,160
Speaker 1: that FBI was just going to be like, well, but

564
00:31:26,160 --> 00:31:29,880
Speaker 1: it says your name lady, Okay, we're coming with us, Debbie,

565
00:31:30,400 --> 00:31:32,360
Speaker 1: we got a top. What's going on with this bomb? Shi?

566
00:31:32,760 --> 00:31:35,960
Speaker 1: Just no no follow up? I guess, Or that's just

567
00:31:36,040 --> 00:31:39,720
Speaker 1: they're even more devious plan to get something then, like

568
00:31:39,760 --> 00:31:42,920
Speaker 1: a secondary target is Debbie Wasserman Schultz. So because that's

569
00:31:42,960 --> 00:31:46,520
Speaker 1: what happened with was it Eric Holder's package went to

570
00:31:46,600 --> 00:31:50,160
Speaker 1: her office because it was the return address? So weird.

571
00:31:50,200 --> 00:31:52,400
Speaker 1: I wonder if there's something purposeful to the fact that

572
00:31:52,440 --> 00:31:54,880
Speaker 1: none of them have exploded yet, which I hope they

573
00:31:54,880 --> 00:31:58,120
Speaker 1: continue to not explode. Yeah, is that just someone who's

574
00:31:58,160 --> 00:31:59,800
Speaker 1: not very good at it? Or if it's like this

575
00:31:59,880 --> 00:32:02,080
Speaker 1: is only a warning, it's a good question. We were

576
00:32:02,080 --> 00:32:06,880
Speaker 1: asking earlier, is is this a die Hard three situation

577
00:32:06,960 --> 00:32:09,320
Speaker 1: where you've got like the fake grape juice bomb and

578
00:32:09,360 --> 00:32:13,120
Speaker 1: they're just like using it as a distraction to actually

579
00:32:13,200 --> 00:32:17,440
Speaker 1: sneak across our borders. Am I right? Guys? Wait? Was

580
00:32:17,480 --> 00:32:19,840
Speaker 1: it the fake one in die Hard with Avengers? Was

581
00:32:19,880 --> 00:32:22,160
Speaker 1: that the one at Chester a Arthur Elementary School? Yes,

582
00:32:22,560 --> 00:32:25,800
Speaker 1: and then they like puncture it and then that goes

583
00:32:25,840 --> 00:32:29,560
Speaker 1: it's grape juice whatever. Yeah, yeah, Yeah. Anyways, we don't

584
00:32:29,560 --> 00:32:32,800
Speaker 1: know why they're not blowing up. It could be that

585
00:32:32,920 --> 00:32:35,200
Speaker 1: the person just does not know what the funk they're doing,

586
00:32:35,440 --> 00:32:40,000
Speaker 1: or it's an inept cyborg. Right, it's so good that

587
00:32:40,040 --> 00:32:42,600
Speaker 1: they're like dumb ones now yeah, right exactly, He's like

588
00:32:42,720 --> 00:32:46,840
Speaker 1: I got the wrong recipe from the anarchists cookbook. One

589
00:32:46,840 --> 00:32:49,200
Speaker 1: thing that this person has managed to do is get

590
00:32:49,600 --> 00:32:52,920
Speaker 1: the president to not call people out by name, because

591
00:32:53,160 --> 00:32:55,760
Speaker 1: at his rally last night, like he was too scared

592
00:32:55,840 --> 00:32:58,600
Speaker 1: to say the names of the people who are the

593
00:32:58,680 --> 00:33:02,240
Speaker 1: targets because he knew that if he like said and

594
00:33:02,360 --> 00:33:05,680
Speaker 1: Hillary got a package, people be like lock her right, right, right,

595
00:33:05,720 --> 00:33:09,640
Speaker 1: And in fact that happened earlier at like that rally

596
00:33:09,800 --> 00:33:14,360
Speaker 1: or at a Republican rally. And if he had said Obama,

597
00:33:14,440 --> 00:33:18,080
Speaker 1: who knows what horrible things, the crowd would have chanted.

598
00:33:18,120 --> 00:33:20,400
Speaker 1: So he had to just like make vague reference to

599
00:33:20,960 --> 00:33:23,640
Speaker 1: right and then blame the press, right. And then he

600
00:33:23,840 --> 00:33:26,800
Speaker 1: blamed the press, which is just I mean, he's good

601
00:33:26,800 --> 00:33:29,600
Speaker 1: at what he does. His number one defense is blamed

602
00:33:29,600 --> 00:33:31,960
Speaker 1: the victim immediately. It's like, I mean, dude, if someone

603
00:33:32,040 --> 00:33:34,760
Speaker 1: sent you a bomb, like, take a look at yourself.

604
00:33:34,880 --> 00:33:37,680
Speaker 1: Probably right, someone's gotten you got Maybe you need to

605
00:33:37,720 --> 00:33:41,080
Speaker 1: do something different. I don't know. Anyway, he's so grass,

606
00:33:41,520 --> 00:33:45,560
Speaker 1: that's so embarrassing. Yeah, And it just really whacked to

607
00:33:45,600 --> 00:33:48,280
Speaker 1: then have him act like he's going to somehow unify

608
00:33:48,320 --> 00:33:51,600
Speaker 1: the country when you're actively just driving a wedge between

609
00:33:51,640 --> 00:33:53,760
Speaker 1: everyone and then suddenly you want to act like you

610
00:33:53,840 --> 00:33:57,920
Speaker 1: could unify the No that that ship has set sail.

611
00:33:58,240 --> 00:34:01,120
Speaker 1: And it's so easy to get drawn into speculating into

612
00:34:01,240 --> 00:34:03,440
Speaker 1: is he crazy lack of fox or is he just

613
00:34:03,840 --> 00:34:07,160
Speaker 1: not all there is pooping himself? Yeah, could be both.

614
00:34:08,560 --> 00:34:11,320
Speaker 1: Starting to think he's crazy like a fox, really yeah,

615
00:34:11,360 --> 00:34:16,000
Speaker 1: but or like he's like a fox that he's just

616
00:34:16,080 --> 00:34:21,480
Speaker 1: like accidentally has the right personality defects to be like

617
00:34:21,800 --> 00:34:25,200
Speaker 1: well designed for this media environment. But whatever it is,

618
00:34:25,280 --> 00:34:31,160
Speaker 1: it's working well for him. Yeah. Yeah, he's only nine

619
00:34:31,200 --> 00:34:36,120
Speaker 1: points underwater in terms of disapproval versus approval. So New

620
00:34:36,200 --> 00:34:41,520
Speaker 1: York Times says that he is actively being listened to

621
00:34:42,600 --> 00:34:48,160
Speaker 1: every time he has a phone conversation, which is just wild,

622
00:34:48,320 --> 00:34:51,319
Speaker 1: Like that is like just taking a step back and

623
00:34:51,640 --> 00:34:55,719
Speaker 1: pretending that it's five years ago and then and we

624
00:34:55,760 --> 00:34:59,280
Speaker 1: didn't know the president was going to be Donald Trump.

625
00:34:59,520 --> 00:35:02,400
Speaker 1: Imagine if you just found out that like the Russians

626
00:35:02,520 --> 00:35:05,600
Speaker 1: and the Chinese were listening in on every phone conversation

627
00:35:05,640 --> 00:35:10,080
Speaker 1: the president had and be like, shit, how is that happening? Well,

628
00:35:10,120 --> 00:35:13,680
Speaker 1: the reason that happens is because he apparently has three phones.

629
00:35:13,800 --> 00:35:16,480
Speaker 1: So he has two phones that the Secret Service have

630
00:35:16,600 --> 00:35:20,200
Speaker 1: like fully outfitted to be like just impenetrable, and one

631
00:35:20,360 --> 00:35:22,600
Speaker 1: is just made for Twitter. So he has one that's like,

632
00:35:22,760 --> 00:35:26,759
Speaker 1: here's your president's phone, because you're the leader of the

633
00:35:26,760 --> 00:35:29,440
Speaker 1: free fucking world. If you didn't realize yet, So if

634
00:35:29,480 --> 00:35:32,359
Speaker 1: you don't want people just doing sweet e's dropping on

635
00:35:32,400 --> 00:35:34,839
Speaker 1: you and here's your Twitter thing. But then he has

636
00:35:34,880 --> 00:35:37,799
Speaker 1: a third phone which is unprotected. It might as well

637
00:35:37,840 --> 00:35:40,280
Speaker 1: just be a fucking jitterbug off the shelf is CVS

638
00:35:40,280 --> 00:35:43,360
Speaker 1: because this has no nothing built into it to protect

639
00:35:43,400 --> 00:35:46,640
Speaker 1: the communications on it. And apparently that is the phone

640
00:35:46,840 --> 00:35:48,680
Speaker 1: that he uses to make a lot of private calls

641
00:35:48,719 --> 00:35:51,560
Speaker 1: to like call friends and the Russians and Chinese, Like, well,

642
00:35:51,600 --> 00:35:53,799
Speaker 1: let's listen in on his chats. We can we can

643
00:35:53,800 --> 00:35:55,960
Speaker 1: see how to push his buttons or manipulate him, and

644
00:35:56,000 --> 00:35:59,279
Speaker 1: also like build a list of influence targets based on

645
00:35:59,320 --> 00:36:01,600
Speaker 1: his phone call to be like oh yeah, okay, he

646
00:36:01,640 --> 00:36:03,080
Speaker 1: talks to this guy a lot. Let's see if we

647
00:36:03,120 --> 00:36:05,280
Speaker 1: can access him through this guy or this woman or whoever.

648
00:36:05,680 --> 00:36:08,759
Speaker 1: So I think it's interesting that they've actually they're doing

649
00:36:08,800 --> 00:36:11,480
Speaker 1: it in a way to for Trump specifically. They're not

650
00:36:11,520 --> 00:36:13,560
Speaker 1: trying to get secrets. It seems like every time they

651
00:36:13,560 --> 00:36:15,400
Speaker 1: talk about they're always like, we're figuring out how to

652
00:36:15,400 --> 00:36:17,480
Speaker 1: talk to this guy to get what we want, Like

653
00:36:17,560 --> 00:36:20,520
Speaker 1: it's like the easiest they probably have, like a psychiatrist,

654
00:36:20,600 --> 00:36:22,640
Speaker 1: and they're not like a spy being Like, so, how

655
00:36:22,680 --> 00:36:25,799
Speaker 1: you want to approach this aspen. Yeah, I don't know

656
00:36:25,840 --> 00:36:28,920
Speaker 1: if you need a psychiatrist to like figure out what's

657
00:36:28,960 --> 00:36:31,799
Speaker 1: going on with them and how to manipulate him, wave

658
00:36:31,840 --> 00:36:34,520
Speaker 1: a bag of money in front of him and and

659
00:36:34,680 --> 00:36:37,080
Speaker 1: you can do whatever. I really do wonder how much

660
00:36:37,080 --> 00:36:39,840
Speaker 1: of what they're getting is just them being like, okay,

661
00:36:39,880 --> 00:36:44,200
Speaker 1: so Hannity is like his weakness is this because Trump?

662
00:36:44,280 --> 00:36:47,040
Speaker 1: It's like the guy's an open book, right. If you're like,

663
00:36:47,080 --> 00:36:49,920
Speaker 1: if we can get coloring book, right, if they're like

664
00:36:49,960 --> 00:36:51,759
Speaker 1: we can get into Hannity's head and get him talking

665
00:36:51,800 --> 00:36:53,720
Speaker 1: this way, that how we'll have a knock on effect

666
00:36:53,760 --> 00:36:56,840
Speaker 1: with Trump in this way exactly. I mean we're inherent

667
00:36:56,880 --> 00:36:59,120
Speaker 1: on a second Rade podcast already figuring out how we

668
00:36:59,120 --> 00:37:03,960
Speaker 1: can use these right further our aims. But yeah, I

669
00:37:04,000 --> 00:37:05,879
Speaker 1: mean this was the thing too. I remember, like when

670
00:37:05,880 --> 00:37:08,440
Speaker 1: he first started, there was this whole thing like he

671
00:37:08,480 --> 00:37:10,719
Speaker 1: didn't want to give up his phone. I just think

672
00:37:10,760 --> 00:37:12,480
Speaker 1: I can you can just picture it that all the

673
00:37:12,520 --> 00:37:14,759
Speaker 1: advisors in the Secret Service being like, sir, really, we

674
00:37:14,800 --> 00:37:16,400
Speaker 1: have to give you this new phone, and he's like,

675
00:37:16,440 --> 00:37:20,239
Speaker 1: but it has my number, Like he wouldn't It's like

676
00:37:20,239 --> 00:37:22,960
Speaker 1: his binkie, give it up. I don't want to change

677
00:37:22,960 --> 00:37:25,359
Speaker 1: my number. Yeah, then I have to go through the

678
00:37:25,360 --> 00:37:27,040
Speaker 1: thing and I have to do the new phone. Who

679
00:37:27,120 --> 00:37:31,040
Speaker 1: this thing? I don't know too much for me, but

680
00:37:31,120 --> 00:37:33,960
Speaker 1: I don't know. It's you think on some level, right,

681
00:37:34,000 --> 00:37:37,160
Speaker 1: the government, like we have to build into the constitution

682
00:37:37,160 --> 00:37:40,640
Speaker 1: that if you're the president, right, that your communications are

683
00:37:40,800 --> 00:37:44,040
Speaker 1: of the utmost like importance and need to be protected.

684
00:37:44,320 --> 00:37:45,800
Speaker 1: So you should be like the Secret Service should be

685
00:37:45,800 --> 00:37:48,320
Speaker 1: able to just give me your fucking phone. Motherfucker, smash

686
00:37:48,360 --> 00:37:51,120
Speaker 1: this ship up. I think two things. One, he is

687
00:37:51,160 --> 00:37:54,960
Speaker 1: so unprecedented in his complete disregard of like the way

688
00:37:55,000 --> 00:37:57,120
Speaker 1: things should be done. That Like he just startled a

689
00:37:57,200 --> 00:38:00,000
Speaker 1: lot of people. They were like do we did the protocol?

690
00:38:00,040 --> 00:38:03,200
Speaker 1: And he said no, and what do we do with that? Respect?

691
00:38:05,600 --> 00:38:08,320
Speaker 1: But then also I think, as with any other industry,

692
00:38:08,400 --> 00:38:11,399
Speaker 1: no one's caught up really to the technology. Like it's

693
00:38:11,440 --> 00:38:14,399
Speaker 1: just like anything. Just because they're the government doesn't mean

694
00:38:14,400 --> 00:38:17,359
Speaker 1: that they're better. But like dealing with technological advances, right,

695
00:38:17,480 --> 00:38:20,560
Speaker 1: it's like all those big hacks that like took down

696
00:38:20,640 --> 00:38:23,879
Speaker 1: major websites, banks and stuff, It's like that's how they

697
00:38:23,920 --> 00:38:27,799
Speaker 1: figured out that they needed to. But like I brought

698
00:38:27,840 --> 00:38:31,560
Speaker 1: this up before, like when the Vikings first started pillaging Europe,

699
00:38:31,880 --> 00:38:33,880
Speaker 1: Like the thing that made them so fierce is that

700
00:38:33,920 --> 00:38:36,319
Speaker 1: they weren't they didn't care about a Christian God. So

701
00:38:36,320 --> 00:38:38,560
Speaker 1: when they saw a church, they were like, you got

702
00:38:38,560 --> 00:38:40,400
Speaker 1: one bald headed dude in a robe and all that

703
00:38:40,480 --> 00:38:42,560
Speaker 1: gold in there, and everyone's like, we're not going to

704
00:38:42,640 --> 00:38:44,719
Speaker 1: touch that because of God. And they're like, watch me

705
00:38:45,080 --> 00:38:47,960
Speaker 1: burn this fucking thing down to chop and I'll take

706
00:38:48,000 --> 00:38:51,400
Speaker 1: your gold. Because before there was that idea religion was

707
00:38:51,440 --> 00:38:53,439
Speaker 1: protecting these things. But then you get a group coming

708
00:38:53,440 --> 00:38:59,400
Speaker 1: in who are like, okay, nice, plus sign that little

709
00:38:59,440 --> 00:39:02,960
Speaker 1: history for you. Yeah, look at that, all right, And

710
00:39:03,200 --> 00:39:06,960
Speaker 1: the Saudis, seeing their opportunity that there's a lot of

711
00:39:07,120 --> 00:39:11,359
Speaker 1: crazy ship going on in America, were like, okay, time

712
00:39:11,400 --> 00:39:15,160
Speaker 1: to tell the truth maybe a little bit, because they

713
00:39:15,160 --> 00:39:20,520
Speaker 1: were just like, let me check really, oh okay, yeah

714
00:39:20,560 --> 00:39:26,760
Speaker 1: we did. We totally premeditated murdered that dude. Yeah, okay,

715
00:39:26,800 --> 00:39:29,560
Speaker 1: I thought we were talking about a different guy, right, Okay,

716
00:39:29,640 --> 00:39:35,479
Speaker 1: yeah Jamal Hasho g Yes, okay, yes, I that wasn't

717
00:39:35,480 --> 00:39:38,520
Speaker 1: me though, Yeah, I guess once c I a chief

718
00:39:39,120 --> 00:39:44,120
Speaker 1: Gina torture, What torture listened? To the tapes of like

719
00:39:44,239 --> 00:39:48,479
Speaker 1: the actual recordings of Hashog's murder, they were a little

720
00:39:48,480 --> 00:39:52,440
Speaker 1: more inclined to agree with the Turkish intelligence opinion that

721
00:39:52,520 --> 00:39:57,440
Speaker 1: it was premeditated. But still we're just like, yeah, I guess, um,

722
00:39:57,480 --> 00:39:59,200
Speaker 1: I guess some planning went on. It's weird. But you

723
00:39:59,200 --> 00:40:02,120
Speaker 1: know what, Mohammed in Salmon, the Crown Prince, he knew

724
00:40:02,160 --> 00:40:04,600
Speaker 1: nothing about it. And I know we're a country that

725
00:40:04,920 --> 00:40:09,120
Speaker 1: routinely aggressively surveils the activities of our citizens. But I

726
00:40:09,120 --> 00:40:10,920
Speaker 1: guess this one, I don't know. I guess this one

727
00:40:10,920 --> 00:40:15,040
Speaker 1: slipped through the cracks or something. Well, anyway, so what

728
00:40:15,080 --> 00:40:16,480
Speaker 1: do you think about that? What do you think about

729
00:40:16,480 --> 00:40:20,320
Speaker 1: that arms deal? Exactly? Nick? Did you just play the Trump?

730
00:40:20,360 --> 00:40:26,319
Speaker 1: Goddamnit dropped? Damn God, damn the insincere Goddamn when omar

731
00:40:26,360 --> 00:40:28,360
Speaker 1: Rosa got fired from people who don't realize what that

732
00:40:28,400 --> 00:40:31,200
Speaker 1: sound by, that does deserve a insince here, goddamn it,

733
00:40:31,840 --> 00:40:34,840
Speaker 1: damn it. Really all right, I'm gonna talk to my

734
00:40:34,880 --> 00:40:38,600
Speaker 1: guys that should not have had that. It's anybody wasn't

735
00:40:38,680 --> 00:40:41,800
Speaker 1: listening back then, Trump was on the phone with almar Rossa,

736
00:40:42,280 --> 00:40:46,160
Speaker 1: she and just clearly just doing the worst job of

737
00:40:46,200 --> 00:40:49,200
Speaker 1: pretending he was just finding out about that. I just

738
00:40:49,239 --> 00:40:53,640
Speaker 1: found out you got your tired. They fired you. God

739
00:40:54,200 --> 00:40:59,359
Speaker 1: damn it. And it's like, wow, all right, the best

740
00:40:59,360 --> 00:41:01,480
Speaker 1: thing to yeah, yell out when you forget your wallet

741
00:41:01,480 --> 00:41:05,040
Speaker 1: on a date. Yeah, exactly, God damn it. I'm so

742
00:41:05,080 --> 00:41:07,759
Speaker 1: sorry for if your miles and forgot your wallet. Yeah

743
00:41:07,800 --> 00:41:11,759
Speaker 1: at lunch every Wednesday like clockwork. Thank you for paying Jack.

744
00:41:12,920 --> 00:41:16,799
Speaker 1: And then just really briefly with the caravan, just a reminder,

745
00:41:16,960 --> 00:41:19,200
Speaker 1: So somebody tweeted us and was like, yeah, why do

746
00:41:19,320 --> 00:41:22,480
Speaker 1: my parents think that this caravan was started by George

747
00:41:22,520 --> 00:41:27,560
Speaker 1: Soros and the Democrats? Uh? This So this has apparently

748
00:41:27,640 --> 00:41:32,319
Speaker 1: become a very effective tool for the Republicans. So just

749
00:41:32,360 --> 00:41:35,040
Speaker 1: a reminder for anybody who's talking to Republicans who are

750
00:41:35,120 --> 00:41:39,160
Speaker 1: like there were being invaded. This happens every year, multiple

751
00:41:39,239 --> 00:41:42,200
Speaker 1: times a year, that there's a caravan going up through

752
00:41:42,239 --> 00:41:46,240
Speaker 1: Mexico towards the US border. The last time they acted

753
00:41:46,320 --> 00:41:51,839
Speaker 1: like this was a massive invasion, only uh handful of

754
00:41:51,880 --> 00:41:55,240
Speaker 1: people ended up even getting to the US border. These

755
00:41:55,440 --> 00:41:58,040
Speaker 1: are in a lot of cases women and children who

756
00:41:58,040 --> 00:42:02,839
Speaker 1: are looking to live safer lives. They're gay, and you know,

757
00:42:03,120 --> 00:42:09,680
Speaker 1: LGBT trans people who are you know, escaping persecution and

758
00:42:10,480 --> 00:42:16,040
Speaker 1: they're seventeen hundred miles away and traveling on foot and

759
00:42:16,360 --> 00:42:20,719
Speaker 1: deserve your sympathy. And also a Guatemaland journalists looked into

760
00:42:20,760 --> 00:42:23,000
Speaker 1: that video, y'all were passing around because the right was

761
00:42:23,040 --> 00:42:26,240
Speaker 1: apparently passing around a video where members of the caravan

762
00:42:26,280 --> 00:42:28,600
Speaker 1: were being paid money, and they were like, this is Soros.

763
00:42:28,600 --> 00:42:32,280
Speaker 1: Those people very clearly handing out party handing out cash.

764
00:42:32,520 --> 00:42:37,560
Speaker 1: It was actually locals, like local businesses and local retailers

765
00:42:37,840 --> 00:42:40,719
Speaker 1: who are just handing out money to the people like here,

766
00:42:40,760 --> 00:42:43,719
Speaker 1: good luck, like just to be kind, yes, to be

767
00:42:43,880 --> 00:42:48,879
Speaker 1: like human kindness. That's George Soros, because I think that's

768
00:42:48,880 --> 00:42:53,200
Speaker 1: all it is. Empathy equals George Soros is dark like

769
00:42:53,280 --> 00:42:56,000
Speaker 1: and they use that anti Semitic thing of like, you know,

770
00:42:56,040 --> 00:43:00,359
Speaker 1: there's this wealthy Jewish guy pulling all the strings and

771
00:43:00,640 --> 00:43:02,320
Speaker 1: like it's like, hey, for twenty bucks, you want to

772
00:43:02,320 --> 00:43:07,479
Speaker 1: walk Seles? Is that the deal that they took? Would

773
00:43:07,520 --> 00:43:10,800
Speaker 1: you take that deal? Like that's what I don't understand.

774
00:43:11,200 --> 00:43:13,480
Speaker 1: And again it's just this tactic they always like they

775
00:43:13,600 --> 00:43:16,399
Speaker 1: it's so easy to just use George Soros because he's

776
00:43:16,520 --> 00:43:19,080
Speaker 1: a wealthy person who is a philanthropist, and his money

777
00:43:19,120 --> 00:43:22,640
Speaker 1: typically goes two causes on the left that they're just like, well,

778
00:43:22,719 --> 00:43:24,239
Speaker 1: you know, he pays everyone to do everything. He pays

779
00:43:24,239 --> 00:43:26,560
Speaker 1: people to have moral outrage, he pays people to be

780
00:43:26,800 --> 00:43:30,040
Speaker 1: decent or be morally scrupulous. I don't know, so, so

781
00:43:31,040 --> 00:43:33,560
Speaker 1: just be aware for all that b s when it

782
00:43:33,600 --> 00:43:36,359
Speaker 1: comes to George Soros. That is what the other part

783
00:43:36,400 --> 00:43:39,600
Speaker 1: of the country, well, we're all praying to our Amazon God.

784
00:43:40,000 --> 00:43:43,120
Speaker 1: On the left of the right is worried about this,

785
00:43:43,440 --> 00:43:46,560
Speaker 1: and it's invasion for people who are also saying they're

786
00:43:46,560 --> 00:43:49,640
Speaker 1: being paid by George Soros. You can very quickly show

787
00:43:49,719 --> 00:43:52,879
Speaker 1: someone who may be skeptical on the right to look

788
00:43:52,960 --> 00:43:55,760
Speaker 1: at what life is like for people in these countries

789
00:43:56,280 --> 00:43:59,000
Speaker 1: that you know, guatemal is one of the most impoverished countries,

790
00:43:59,360 --> 00:44:01,600
Speaker 1: and look at things like that and say those are

791
00:44:01,600 --> 00:44:04,719
Speaker 1: the things that are the catalyst for migration. It's not

792
00:44:04,800 --> 00:44:09,360
Speaker 1: because they want to come bum rush Karen's lakehouse in Minnesota,

793
00:44:10,560 --> 00:44:13,920
Speaker 1: you know what I mean. So like and like, just

794
00:44:13,920 --> 00:44:16,279
Speaker 1: just take a look at where they're coming from, because

795
00:44:16,280 --> 00:44:18,160
Speaker 1: you're not going to be like, oh wow, why would

796
00:44:18,200 --> 00:44:21,360
Speaker 1: you leave that place? And you're gonna also do just

797
00:44:21,880 --> 00:44:23,680
Speaker 1: get people up on history a little bit. You know,

798
00:44:23,800 --> 00:44:25,520
Speaker 1: look at what we do down there. It's lack of

799
00:44:25,600 --> 00:44:27,799
Speaker 1: empathy on the right. That again and goes back to

800
00:44:27,800 --> 00:44:30,600
Speaker 1: my theory about them having different brains, like some people

801
00:44:30,600 --> 00:44:32,360
Speaker 1: are really just trying to make a better life for them.

802
00:44:32,480 --> 00:44:34,400
Speaker 1: Well I think you know. Also, it's like it's if

803
00:44:34,440 --> 00:44:37,839
Speaker 1: you have a scarcity or abundance mentality to where if

804
00:44:38,160 --> 00:44:42,920
Speaker 1: everything is scarce right, then there's no room for anyone else.

805
00:44:43,440 --> 00:44:45,359
Speaker 1: And even it might and your world it might not

806
00:44:45,440 --> 00:44:47,680
Speaker 1: necessarily be that you feel that someone coming to this

807
00:44:47,719 --> 00:44:50,000
Speaker 1: country cuts that off. But these people could also be

808
00:44:50,080 --> 00:44:51,600
Speaker 1: the kind of people who are like on the freeway

809
00:44:51,640 --> 00:44:54,479
Speaker 1: and don't let people cut like into their lane because

810
00:44:54,560 --> 00:44:56,080
Speaker 1: like no, no, no no, no, no, no, I'm sorry, I

811
00:44:56,120 --> 00:44:59,239
Speaker 1: was already got behind me. Where it's like, because I

812
00:44:59,239 --> 00:45:01,480
Speaker 1: don't know what you think letting that person in does

813
00:45:01,560 --> 00:45:03,200
Speaker 1: to you, Like that sucks you up, that's gonna make

814
00:45:03,200 --> 00:45:05,480
Speaker 1: you late or your ego or whatever. But I think

815
00:45:05,520 --> 00:45:08,000
Speaker 1: there's this It's definitely like there's this zero sum game

816
00:45:08,040 --> 00:45:10,040
Speaker 1: for people who have no empathy. It's like, I'm sorry,

817
00:45:10,040 --> 00:45:13,120
Speaker 1: if we do, then I ceased to have If you

818
00:45:13,200 --> 00:45:16,799
Speaker 1: have a thing, then I don't have a thing there. Yeah,

819
00:45:16,800 --> 00:45:19,880
Speaker 1: there's so much ship here for everybody out to my

820
00:45:19,880 --> 00:45:26,200
Speaker 1: pickup truck. Um. Yeah, and uh so the journalist who

821
00:45:26,520 --> 00:45:29,319
Speaker 1: tracked down the people from that video and the people

822
00:45:29,320 --> 00:45:32,480
Speaker 1: who are supposedly being paid by Sorous was Guatemala, And

823
00:45:32,560 --> 00:45:36,120
Speaker 1: I think that video was actually from Guatemala, but most

824
00:45:36,160 --> 00:45:38,520
Speaker 1: of the people in the caravan are from Honduras, which

825
00:45:38,719 --> 00:45:43,160
Speaker 1: also has really rough conditions. All right, we're gonna take

826
00:45:43,200 --> 00:45:56,040
Speaker 1: another quick break. We'll be right back, And we're back.

827
00:45:56,640 --> 00:46:01,000
Speaker 1: And the name Dorcas has been traveling all over the

828
00:46:01,040 --> 00:46:06,000
Speaker 1: place on TV online because a young woman by the

829
00:46:06,040 --> 00:46:09,479
Speaker 1: name of Dorcas Riley, who invented the green bean cast

830
00:46:09,600 --> 00:46:14,279
Speaker 1: role back in has passed on. And yeah, she's a

831
00:46:14,360 --> 00:46:18,239
Speaker 1: legend comfort food game. Is her name pronounced Dorcas? Do

832
00:46:18,280 --> 00:46:21,000
Speaker 1: we know it's probably got some lovely pronunciation that we

833
00:46:21,000 --> 00:46:31,400
Speaker 1: aren't even imaginings. Yeah maybe maybe, who knows? That actually

834
00:46:31,480 --> 00:46:40,880
Speaker 1: kind of makes sense? Riley falls apart. Yeah, Riley, she

835
00:46:40,960 --> 00:46:44,520
Speaker 1: invented the green bean castle. That's pretty big. That's like,

836
00:46:45,000 --> 00:46:47,200
Speaker 1: that's like a pillar of American conferences. So what's the

837
00:46:47,280 --> 00:46:50,239
Speaker 1: key ingredient? And that is a cream of mushroom. Yeah,

838
00:46:51,120 --> 00:46:55,440
Speaker 1: every castle, right, mushroom mushroom mixed with everything else. Well,

839
00:46:55,440 --> 00:46:57,759
Speaker 1: you know, I mean it was invented to sell cream

840
00:46:57,760 --> 00:47:02,279
Speaker 1: of mushroom soup. Good way, what was the castle? So

841
00:47:02,680 --> 00:47:05,000
Speaker 1: because had they not rolled out cream and mushroom yet.

842
00:47:07,600 --> 00:47:10,120
Speaker 1: So so many of the recipes that we consider like

843
00:47:10,160 --> 00:47:14,280
Speaker 1: classic Americana are not from home kitchens. They're from food manufacturers.

844
00:47:14,719 --> 00:47:17,359
Speaker 1: And that's because post World War Two they had all

845
00:47:17,360 --> 00:47:19,200
Speaker 1: these factories that they had to do something with. They're like,

846
00:47:19,239 --> 00:47:21,880
Speaker 1: we'll do processed food. Now, we'll invent that, and then

847
00:47:21,920 --> 00:47:24,319
Speaker 1: we have to teach people how to cook with it. Oh,

848
00:47:24,400 --> 00:47:26,640
Speaker 1: that's why everything is basically a box rest Like what's

849
00:47:26,719 --> 00:47:29,399
Speaker 1: on the box typically precipitates what we were like, Oh,

850
00:47:29,440 --> 00:47:33,600
Speaker 1: that's a that's our own family corporate suggestion. Yeah, yeah, totally.

851
00:47:33,600 --> 00:47:35,600
Speaker 1: And theren't even be like little pamphlets that they'd attached

852
00:47:35,640 --> 00:47:38,080
Speaker 1: to bottles and stick in the boxes and stuff. It's like,

853
00:47:38,120 --> 00:47:40,719
Speaker 1: here's this food product, here's how you have to use it,

854
00:47:41,120 --> 00:47:43,040
Speaker 1: because you've never done it. And that's why like all

855
00:47:43,080 --> 00:47:45,440
Speaker 1: the different jello recipes from the mid century where they

856
00:47:45,440 --> 00:47:47,799
Speaker 1: were like just put anything you on in it, because

857
00:47:47,840 --> 00:47:51,759
Speaker 1: they were like, please please just put an yellow with him?

858
00:47:52,400 --> 00:47:56,600
Speaker 1: What is that someone? I'm jello with shrimp? I forget who?

859
00:47:56,680 --> 00:47:59,440
Speaker 1: One of my white friends telling me about their family,

860
00:47:59,560 --> 00:48:03,399
Speaker 1: like is a salad that they eat with ham and jello? Yeah?

861
00:48:04,440 --> 00:48:07,719
Speaker 1: The seventies was crazy, man. That was like they just realized,

862
00:48:07,760 --> 00:48:10,279
Speaker 1: like jello came out and it just like people didn't

863
00:48:10,280 --> 00:48:12,600
Speaker 1: know how to act for some reason, like just I

864
00:48:12,640 --> 00:48:14,680
Speaker 1: think it was like the they were like is it

865
00:48:14,719 --> 00:48:16,560
Speaker 1: a solid? Is it a liquid? We don't know what

866
00:48:16,600 --> 00:48:19,040
Speaker 1: the fund to do, and so like go check out

867
00:48:19,080 --> 00:48:22,000
Speaker 1: a seventies cookbook, y'all. It is so funny. Oh yeah,

868
00:48:22,000 --> 00:48:26,480
Speaker 1: I follow on Instagram page like that just wild seven horrifying,

869
00:48:26,600 --> 00:48:28,360
Speaker 1: and it's like, oh, this is why people were skinny.

870
00:48:28,360 --> 00:48:32,279
Speaker 1: They didn't want to eat any everything. Well, in my mind,

871
00:48:32,280 --> 00:48:35,160
Speaker 1: I'm like, well it must be palatable if it's a

872
00:48:35,239 --> 00:48:37,319
Speaker 1: family thing they keep making and then they're like no,

873
00:48:37,480 --> 00:48:42,319
Speaker 1: it's awful. Why these jealous salads are real rough? Yeah?

874
00:48:42,480 --> 00:48:44,880
Speaker 1: I saw one with hollandaise sauce on it. It was

875
00:48:44,960 --> 00:48:49,120
Speaker 1: like jello with Yeah, it was like a banana. Yeah,

876
00:48:49,920 --> 00:48:53,400
Speaker 1: just took It's very mad because on my dad's side,

877
00:48:53,520 --> 00:48:57,360
Speaker 1: really solid Southern cooking barbecue traditional my dad's side and

878
00:48:57,440 --> 00:49:00,520
Speaker 1: my mom's Japanese, so very good Japanese food, So like

879
00:49:00,680 --> 00:49:04,000
Speaker 1: I was never never had like the closest to that

880
00:49:04,080 --> 00:49:06,279
Speaker 1: kind of thing was like, I don't know, marshmallows on

881
00:49:06,480 --> 00:49:09,239
Speaker 1: nis or something, never like eve in the same vein,

882
00:49:09,440 --> 00:49:12,520
Speaker 1: right exactly. But that's like the closest thing of Like, Oh, okay,

883
00:49:12,560 --> 00:49:15,120
Speaker 1: I see how that came off A bag is really

884
00:49:15,160 --> 00:49:19,759
Speaker 1: also invented tomato soupcake? Okay? So was soupcake? Are you

885
00:49:19,800 --> 00:49:23,400
Speaker 1: saying that doric Ass was one of these food chemists?

886
00:49:23,560 --> 00:49:25,920
Speaker 1: She absolutely she was a corporate food chemists. She was.

887
00:49:26,320 --> 00:49:28,880
Speaker 1: She got her college degree in home economics, which is

888
00:49:28,960 --> 00:49:33,200
Speaker 1: something that sounds lame and sad now but at the

889
00:49:33,239 --> 00:49:36,920
Speaker 1: time was like a way for women who wanted to

890
00:49:36,920 --> 00:49:39,080
Speaker 1: be scientists to actually get a degree in science and

891
00:49:40,120 --> 00:49:45,400
Speaker 1: they couldn't even science economics. All this means is that

892
00:49:45,440 --> 00:49:47,759
Speaker 1: she would have cured cancer if they had just let

893
00:49:47,800 --> 00:49:52,400
Speaker 1: her do anything except yeah, because it was all the

894
00:49:52,480 --> 00:49:57,440
Speaker 1: chemistry of all these packaged foods. Wait was tomato soupcake? Okay? So? Um?

895
00:49:57,680 --> 00:50:01,000
Speaker 1: With cakes, like chocolate cakes, especially actually flavored cakes, you

896
00:50:01,040 --> 00:50:03,080
Speaker 1: just need a liquid element so that they aren't dry.

897
00:50:03,120 --> 00:50:05,200
Speaker 1: And it turns out that depending on the other ingredients,

898
00:50:05,200 --> 00:50:08,839
Speaker 1: it doesn't really matter what your wet ingredients are. So

899
00:50:08,960 --> 00:50:10,560
Speaker 1: what I mean it doesn't matter like it won't affect

900
00:50:10,600 --> 00:50:13,319
Speaker 1: It won't affect the flavor so much. So if you

901
00:50:13,440 --> 00:50:16,400
Speaker 1: have a tomato soup cake, you're basically making a chocolate

902
00:50:16,400 --> 00:50:18,920
Speaker 1: cake and adding a can of Campbell's Tomato soup for

903
00:50:19,000 --> 00:50:21,960
Speaker 1: it into it. And that adds like a little bit

904
00:50:22,000 --> 00:50:25,240
Speaker 1: of spicy saltiness, and people like salt in their sweets

905
00:50:25,280 --> 00:50:27,399
Speaker 1: way much more than they think they do. And then

906
00:50:27,400 --> 00:50:29,399
Speaker 1: it also might add a little bit of that color

907
00:50:29,480 --> 00:50:31,600
Speaker 1: that we also get from red velvet cakes, because red

908
00:50:31,640 --> 00:50:34,040
Speaker 1: velvet cakes used to actually look like chocolate, which is

909
00:50:34,040 --> 00:50:35,879
Speaker 1: the main ingredient, with like a hint of red. It's

910
00:50:35,920 --> 00:50:38,640
Speaker 1: like a devil's food cake originally, right, That's exactly what

911
00:50:38,680 --> 00:50:41,239
Speaker 1: it is. There's another variation on that is mayonnaise cake,

912
00:50:41,280 --> 00:50:43,160
Speaker 1: which is chocolate cake with a ship ton of mayonnaise

913
00:50:43,160 --> 00:50:45,400
Speaker 1: in it. And do you add these ingredients just like

914
00:50:45,440 --> 00:50:47,680
Speaker 1: as a prank or like, is it just to be

915
00:50:47,800 --> 00:50:54,160
Speaker 1: like yo, you just mayonnaise, idiot your arteries. No, not

916
00:50:54,239 --> 00:50:58,640
Speaker 1: at all, it's actually and it won't dry out, you

917
00:50:58,640 --> 00:51:01,000
Speaker 1: add mayonnaise to something, it's not going to dry out. Yo,

918
00:51:01,239 --> 00:51:04,719
Speaker 1: tomato soupcake. That sounds actually, I want to try out

919
00:51:04,719 --> 00:51:07,400
Speaker 1: these things. I'm gonna do the Dorcas Grand Prix then totally,

920
00:51:07,440 --> 00:51:10,720
Speaker 1: and it will also be your journey through Americana. Wow,

921
00:51:10,840 --> 00:51:14,680
Speaker 1: tomato soupcake. We'll shout out to you Dorcas, Dorcass or

922
00:51:14,760 --> 00:51:18,440
Speaker 1: Dorca whatever it is. Isn't there a stereotype that like,

923
00:51:18,640 --> 00:51:24,000
Speaker 1: white families have terrible like taste and food? Yes, there is, right, absolutely, Hi,

924
00:51:24,160 --> 00:51:30,719
Speaker 1: have you just seen Twitter unseasoned? Is I feel like

925
00:51:30,760 --> 00:51:34,960
Speaker 1: this is not helping the legacy of Dorcas. Yeah, but

926
00:51:35,000 --> 00:51:37,319
Speaker 1: still but if you're elevating a cake with a can

927
00:51:37,280 --> 00:51:40,680
Speaker 1: of tomato soup that sounds like probably doubt it tastes terrible.

928
00:51:41,560 --> 00:51:43,600
Speaker 1: I think it's a really interesting idea, and I think

929
00:51:43,600 --> 00:51:46,120
Speaker 1: it's also you have to think about context, because this

930
00:51:46,239 --> 00:51:50,160
Speaker 1: truly was an era where all the weapons manufacturers switched

931
00:51:50,160 --> 00:51:52,920
Speaker 1: to food, and we need to sell product. We have

932
00:51:53,000 --> 00:51:56,319
Speaker 1: to push this so hard, and all these recipes come

933
00:51:56,400 --> 00:52:01,719
Speaker 1: from the manufacturers will tell you through your intestines and fists. Right,

934
00:52:02,760 --> 00:52:05,719
Speaker 1: that's interesting. I didn't know that about the factories. I

935
00:52:05,760 --> 00:52:06,880
Speaker 1: like how when I brought it up, You're like, oh,

936
00:52:06,880 --> 00:52:09,320
Speaker 1: do you really want to go there? And I was like, yeah,

937
00:52:09,360 --> 00:52:10,640
Speaker 1: but I guess we will when we get on Mike.

938
00:52:10,680 --> 00:52:12,680
Speaker 1: And then you just were like, yeah, homie, you're eating.

939
00:52:15,880 --> 00:52:17,920
Speaker 1: Let me take a couple of steps back. Uh. This

940
00:52:17,960 --> 00:52:25,520
Speaker 1: guy Adolf Hitler, Right, let's talk post Malone, Postmates Malone.

941
00:52:25,880 --> 00:52:29,600
Speaker 1: This apparently impresses some people. I'm not super impressed, but

942
00:52:29,640 --> 00:52:33,839
Speaker 1: post Malone has spent over forty thou dollars on Postmates

943
00:52:33,880 --> 00:52:36,839
Speaker 1: so far this year. It's a thing we've seen, right,

944
00:52:36,920 --> 00:52:40,839
Speaker 1: Like we talked about, um, what's homegirl's name? Jessica Simpson, Yeah,

945
00:52:41,000 --> 00:52:43,480
Speaker 1: did a gnarly amount of Postmates. It was like a

946
00:52:43,520 --> 00:52:47,320
Speaker 1: hundred thousand. I thought, yeah, something about Sophie super producer.

947
00:52:47,480 --> 00:52:50,320
Speaker 1: Sophie just showed me an image or an article that

948
00:52:50,400 --> 00:52:53,239
Speaker 1: said that Rob Kardashian was spending thirteen K a month

949
00:52:53,280 --> 00:52:57,160
Speaker 1: on Black China's pregnancy needs for Postmates. I guess it's

950
00:52:57,200 --> 00:52:59,000
Speaker 1: just because you're so lazy, because when you look at

951
00:52:59,040 --> 00:53:02,040
Speaker 1: what post Malone has ordered, I guess when you compare

952
00:53:02,040 --> 00:53:03,880
Speaker 1: it to just well, Jessica Simpson has a bunch of

953
00:53:03,920 --> 00:53:07,279
Speaker 1: kids and an athlete husband. Was probably eating wild but

954
00:53:07,360 --> 00:53:10,200
Speaker 1: also post malone. I can't. I can imagine he eats

955
00:53:10,360 --> 00:53:13,759
Speaker 1: pretty well too. Uh. He's always ordering from I guess,

956
00:53:13,800 --> 00:53:18,520
Speaker 1: Pink Dot, Chick fil A, Ralph's, Burger King, Popeye's, KFC, Petco,

957
00:53:18,680 --> 00:53:21,759
Speaker 1: pand Express Game Stop in CVS. So it sounds like

958
00:53:21,800 --> 00:53:26,520
Speaker 1: somebody who just hates to leave the house. Mostly cigarettes. Yeah, yeah,

959
00:53:26,760 --> 00:53:29,360
Speaker 1: like that dude is just and bud light. Yeah, cigarettes

960
00:53:29,360 --> 00:53:31,160
Speaker 1: and bud light. That's the thing. It's such a huge

961
00:53:31,160 --> 00:53:34,000
Speaker 1: amount of money and it's not even stunting because you're

962
00:53:34,000 --> 00:53:37,520
Speaker 1: not getting anything good. Yeah, you're not. Like how much

963
00:53:37,520 --> 00:53:39,680
Speaker 1: he likes the garlic bread from Ralph's, which is fine,

964
00:53:39,719 --> 00:53:43,440
Speaker 1: but like you like, go to Smokehouse get that real

965
00:53:43,560 --> 00:53:46,080
Speaker 1: o g garlic bread in l A. But this is

966
00:53:46,160 --> 00:53:48,520
Speaker 1: one thing that I'm like, Yo, he takes his food

967
00:53:48,560 --> 00:53:52,200
Speaker 1: seriously because when he orders from Raising Canes, which is

968
00:53:52,480 --> 00:53:55,720
Speaker 1: probably one of my favorite chicken finger places fast food places,

969
00:53:56,120 --> 00:53:58,920
Speaker 1: he asks specifically they opened the boxes a little bit

970
00:53:58,960 --> 00:54:00,960
Speaker 1: so all that moisture does and just make render the

971
00:54:00,960 --> 00:54:03,759
Speaker 1: breading soft and soggy, which is a lot of pro.

972
00:54:04,080 --> 00:54:06,560
Speaker 1: He's a pro. You know, if you order enough Postmates,

973
00:54:06,600 --> 00:54:08,839
Speaker 1: you know, the fries come fucked up. Anything fried comes

974
00:54:08,880 --> 00:54:12,360
Speaker 1: fucked up when they don't properly aerrate or ventilate the container.

975
00:54:12,640 --> 00:54:14,200
Speaker 1: It's funny. I read that article the same way. I

976
00:54:14,239 --> 00:54:15,640
Speaker 1: was like, come on, dude, And then I read that

977
00:54:15,719 --> 00:54:17,640
Speaker 1: raising Kins thing, and I was like, all right, okay,

978
00:54:17,800 --> 00:54:21,160
Speaker 1: all right, you get it. There's only a few places

979
00:54:21,160 --> 00:54:23,160
Speaker 1: in l A, like when you order from Postmates. The

980
00:54:23,239 --> 00:54:25,480
Speaker 1: restaurants I repeat order from are the ones I can

981
00:54:25,480 --> 00:54:27,799
Speaker 1: tell when they're packing, like they're packing it for to go.

982
00:54:27,920 --> 00:54:30,120
Speaker 1: They're like they thought about how it's going to travel

983
00:54:30,160 --> 00:54:33,560
Speaker 1: in the containers, like a plan check. If you get

984
00:54:33,560 --> 00:54:36,239
Speaker 1: it from Postmates, they make sure their fry boxes like

985
00:54:36,280 --> 00:54:39,200
Speaker 1: somewhat open to I appreciate. Yeah, that's good. As a

986
00:54:39,239 --> 00:54:43,600
Speaker 1: food critic, Catherine, are there any fries that hold up

987
00:54:43,719 --> 00:54:46,920
Speaker 1: that can last longer than like fifteen minutes out of

988
00:54:46,960 --> 00:54:49,840
Speaker 1: the fryer? No, at that point, don't do it. I

989
00:54:49,880 --> 00:54:52,440
Speaker 1: always think, if you're ordering food, don't order fries because

990
00:54:52,480 --> 00:54:54,120
Speaker 1: it's just they aren't going to be good. You want

991
00:54:54,120 --> 00:54:59,000
Speaker 1: to sublime French fry experience. What's your favorite fry in

992
00:54:59,200 --> 00:55:02,719
Speaker 1: l A in the world. Let's let's let's start. Let's

993
00:55:02,719 --> 00:55:05,680
Speaker 1: start wide and zoom in the world, in the world.

994
00:55:06,080 --> 00:55:09,080
Speaker 1: Back to an earlier point, don't front about McDonald's is

995
00:55:09,120 --> 00:55:14,359
Speaker 1: not being good sugar so they're delicious. So if we're

996
00:55:14,400 --> 00:55:16,880
Speaker 1: just talking about delicious, I'm sure that there's plenty of

997
00:55:16,880 --> 00:55:21,359
Speaker 1: places in northern Europe the triple fry and serving with mayonnaise. Yeah,

998
00:55:21,400 --> 00:55:29,360
Speaker 1: and they're amazing, I mean bruises. So get up, we

999
00:55:29,400 --> 00:55:35,239
Speaker 1: said Berlin. I mean, oh god, Vienna is beautiful. It

1000
00:55:35,320 --> 00:55:37,400
Speaker 1: really is. I mean, the Viennese are just such a

1001
00:55:37,400 --> 00:55:40,880
Speaker 1: wonderful thing. Truly are um okay, And so McDonald's just

1002
00:55:40,920 --> 00:55:42,960
Speaker 1: all around you're saying, yeah, why not. But people like

1003
00:55:42,960 --> 00:55:45,279
Speaker 1: different kinds of fries, so that's the skinny fire. Obviously.

1004
00:55:45,360 --> 00:55:48,879
Speaker 1: One thing that's like a huge travesty is cooking French

1005
00:55:48,920 --> 00:55:52,600
Speaker 1: fries and vegetable oils as opposed to beef tallow and

1006
00:55:52,640 --> 00:55:55,080
Speaker 1: there's so McDonald's switched to vegetable a place up in

1007
00:55:55,080 --> 00:55:59,160
Speaker 1: Seattle called Dick's, which is like legendary. Um, they switched

1008
00:55:59,160 --> 00:56:02,160
Speaker 1: over from beef tile load to vegetable oil, and it

1009
00:56:02,200 --> 00:56:06,880
Speaker 1: makes everything not good. And also if you are eating

1010
00:56:06,880 --> 00:56:09,719
Speaker 1: at a burger place anyway, don't be like, oh, I

1011
00:56:09,760 --> 00:56:12,399
Speaker 1: don't want to eat beef tallow because it's like kills

1012
00:56:12,440 --> 00:56:14,480
Speaker 1: too many animals, or it's bad for the environment. Like

1013
00:56:14,520 --> 00:56:16,719
Speaker 1: you're already in, you're stuck in, you're eating at a

1014
00:56:16,719 --> 00:56:20,360
Speaker 1: burger place. Yeah, and beef tallow it comes from the

1015
00:56:20,400 --> 00:56:22,839
Speaker 1: animals that are being killed for meat, so you're killing

1016
00:56:22,840 --> 00:56:25,200
Speaker 1: the animal anyway, So eat all of it, right, don't

1017
00:56:25,200 --> 00:56:29,080
Speaker 1: waste it. Beef tallow fries. See, that's the thing, Like

1018
00:56:29,280 --> 00:56:31,640
Speaker 1: it's actually is better for the environment, and it tastes better.

1019
00:56:31,840 --> 00:56:34,560
Speaker 1: So we're not I mean, we're not saying that fries

1020
00:56:34,600 --> 00:56:37,040
Speaker 1: are and have any sort of nutritional value because there

1021
00:56:37,080 --> 00:56:38,880
Speaker 1: was a study that's like it's actually the one of

1022
00:56:38,880 --> 00:56:41,640
Speaker 1: the grossest foods you could eat for fun time food. Yea.

1023
00:56:42,920 --> 00:56:44,440
Speaker 1: But yeah, when you have a beef tallo fry, it

1024
00:56:44,480 --> 00:56:48,080
Speaker 1: will change your viewpoint absolutely. Yeah. Malcolm glad Well did

1025
00:56:48,120 --> 00:56:51,200
Speaker 1: an episode of his podcast where he was like, I

1026
00:56:51,320 --> 00:56:54,320
Speaker 1: just realized, like most people haven't had a beef tallow

1027
00:56:54,360 --> 00:56:57,960
Speaker 1: fry because McDonald's changed like in the nineties, and it

1028
00:56:58,000 --> 00:56:59,680
Speaker 1: was all because of some millionaire who had a heart

1029
00:56:59,680 --> 00:57:02,320
Speaker 1: attack and made it his whole thing to get people

1030
00:57:02,360 --> 00:57:05,000
Speaker 1: to stop eating using beef tallow for frying. He was

1031
00:57:05,040 --> 00:57:08,800
Speaker 1: like we all eat garbage bags full of fries every day. Yeah, okay,

1032
00:57:08,920 --> 00:57:12,920
Speaker 1: so we'll start from there. And my heart attack. So

1033
00:57:13,000 --> 00:57:17,280
Speaker 1: everyone loses. Now, Um is there an especially like amazing

1034
00:57:17,320 --> 00:57:21,280
Speaker 1: fry that's like a very specific place. Um here, and

1035
00:57:21,320 --> 00:57:24,120
Speaker 1: only the winster does a really good friends And again

1036
00:57:24,200 --> 00:57:27,280
Speaker 1: that's because they triple fry. I think maybe in an

1037
00:57:27,320 --> 00:57:31,920
Speaker 1: animal fat I can't it seems yeah, I mean, and

1038
00:57:31,960 --> 00:57:34,080
Speaker 1: that's kind of the thing too, Like, for instance, that's

1039
00:57:34,080 --> 00:57:35,960
Speaker 1: like white in and out people hate their fries and

1040
00:57:35,960 --> 00:57:37,520
Speaker 1: they're like, why do we hate in and out fries?

1041
00:57:37,560 --> 00:57:40,160
Speaker 1: It's because they chop up the potatoes right there in

1042
00:57:40,160 --> 00:57:43,120
Speaker 1: the restaurant and only fry them once. Yeah, they're terrible.

1043
00:57:43,200 --> 00:57:47,000
Speaker 1: They're terrible. Always I get light fries. You get light fries.

1044
00:57:47,040 --> 00:57:48,600
Speaker 1: That's the way to do it. People talk about well down,

1045
00:57:48,640 --> 00:57:52,200
Speaker 1: that's gotta get light. That's the hack right there, and

1046
00:57:52,320 --> 00:57:56,480
Speaker 1: top chilies in your double double. Californians are so weird

1047
00:57:56,520 --> 00:57:59,320
Speaker 1: about in and out. I know, of course, such freaks.

1048
00:57:59,480 --> 00:58:00,960
Speaker 1: I'm there right there with you. I got a root

1049
00:58:00,960 --> 00:58:02,840
Speaker 1: beer float and people are always like, you can do that,

1050
00:58:02,920 --> 00:58:10,760
Speaker 1: and I'm like, you can do it. Cheese. Uh there,

1051
00:58:10,760 --> 00:58:14,320
Speaker 1: Maybe an Indiana Jones World coming to Disney World. Yeah, well,

1052
00:58:14,600 --> 00:58:18,680
Speaker 1: I guess for the fiftieth anniversary of Disney World. They're

1053
00:58:18,720 --> 00:58:22,520
Speaker 1: talking about possibly building in Indiana Jones themed space. Now

1054
00:58:22,560 --> 00:58:24,959
Speaker 1: I know right now they're definitely making like a toy

1055
00:58:25,040 --> 00:58:28,440
Speaker 1: story land and the Star Wars like Galaxy's Edge thing,

1056
00:58:28,480 --> 00:58:31,960
Speaker 1: which I I'm all in for that, But the Indiana

1057
00:58:32,040 --> 00:58:35,080
Speaker 1: Jones one, I don't quite understand, like if they make it,

1058
00:58:35,160 --> 00:58:38,480
Speaker 1: what the draw is because there's not like the fandom

1059
00:58:38,640 --> 00:58:42,040
Speaker 1: is not as rabid for like a full fledged section

1060
00:58:42,120 --> 00:58:44,640
Speaker 1: of a theme park for Indiana Jones. And also like

1061
00:58:44,680 --> 00:58:46,000
Speaker 1: I just feel like it's gonna look like a bunch

1062
00:58:46,000 --> 00:58:48,880
Speaker 1: of old dusty ship whatever Indiana Jones World. I just

1063
00:58:48,960 --> 00:58:50,880
Speaker 1: think dust I know. I wondered if there was some

1064
00:58:51,000 --> 00:58:54,440
Speaker 1: like booming sales in DVDs of all the all the

1065
00:58:54,480 --> 00:58:56,680
Speaker 1: Indiana Jones movies that we don't know about because it's

1066
00:58:56,720 --> 00:58:59,600
Speaker 1: not sexy. I was like, why why this? Well, I mean,

1067
00:58:59,680 --> 00:59:04,080
Speaker 1: the the first three movies are really good, but they're

1068
00:59:04,080 --> 00:59:08,360
Speaker 1: not good in a way that is like immediately transferable

1069
00:59:08,440 --> 00:59:12,080
Speaker 1: to a theme park. It's just like those are fun

1070
00:59:12,120 --> 00:59:15,960
Speaker 1: adventure movies that like nailed a very specific aesthetic, but

1071
00:59:16,000 --> 00:59:17,880
Speaker 1: like it's not. I don't I don't know, not a

1072
00:59:18,000 --> 00:59:20,320
Speaker 1: universe around it. I can imagine where I'm like, oh

1073
00:59:20,600 --> 00:59:23,520
Speaker 1: Nazis and being we don't need to go to a

1074
00:59:23,560 --> 00:59:28,960
Speaker 1: theme park to see Nazis anymore. Nazis everywhere Florida, Come on, man. Yeah,

1075
00:59:29,240 --> 00:59:31,400
Speaker 1: I will say though that the Indiana Jones right at

1076
00:59:31,400 --> 00:59:35,360
Speaker 1: Disneyland in California. It's the perfect balance for me of

1077
00:59:35,400 --> 00:59:39,160
Speaker 1: scariness and adventure. It's never too steep. Wait what scares

1078
00:59:39,200 --> 00:59:40,960
Speaker 1: you on that one? Is it when the arrows fly by?

1079
00:59:41,000 --> 00:59:43,160
Speaker 1: And No, I'm just saying that, like Splash Mountain is

1080
00:59:43,160 --> 00:59:46,640
Speaker 1: too scary for me. Oh you mean like for the thrill,

1081
00:59:46,880 --> 00:59:49,480
Speaker 1: like the sensation of it. Okay, I thought you were

1082
00:59:49,680 --> 00:59:56,160
Speaker 1: looking around like what's the rabbit? No? No, no, no no,

1083
00:59:56,560 --> 00:59:58,920
Speaker 1: I should say the steepness. Okay, I guess of the

1084
00:59:59,000 --> 01:00:02,120
Speaker 1: roller Coast of Better Time, thinking of you just like

1085
01:00:02,800 --> 01:00:05,680
Speaker 1: just white, just all the blood left your face and

1086
01:00:05,720 --> 01:00:08,520
Speaker 1: you're just constant state of horror as you go through. Listen.

1087
01:00:08,560 --> 01:00:13,479
Speaker 1: I just get really into storytelling, right. Yeah, So maybe

1088
01:00:13,480 --> 01:00:15,920
Speaker 1: if all the all the roller coasters or whatever in

1089
01:00:15,960 --> 01:00:19,120
Speaker 1: the Florida version, or just like yeah, because they have

1090
01:00:19,280 --> 01:00:22,479
Speaker 1: scary Yeah, they just have a stunt show, like We're Lucky.

1091
01:00:22,520 --> 01:00:25,200
Speaker 1: In Disneyland we have Indiana Jones Ride, and then I

1092
01:00:25,200 --> 01:00:28,080
Speaker 1: think in Paris Disney there's a roller coaster. Yes, yeah,

1093
01:00:28,240 --> 01:00:35,880
Speaker 1: it's called Tompla, which is so funny. Temple of Peril restic.

1094
01:00:37,040 --> 01:00:39,640
Speaker 1: Katherine has been so fun having you. Thank you what

1095
01:00:39,680 --> 01:00:44,480
Speaker 1: a guest. Is there someplace that people can find you online? Sure? Well,

1096
01:00:44,480 --> 01:00:48,880
Speaker 1: my podcast is called smart Mouth to Words about food history,

1097
01:00:49,080 --> 01:00:52,760
Speaker 1: and I do Instagram a lot at smart Mouth Podcast,

1098
01:00:52,840 --> 01:00:57,800
Speaker 1: and then my personal Instagram is Katherine Underscore Spires. Yeah.

1099
01:00:57,880 --> 01:01:00,640
Speaker 1: I tried to separate out between like food all the

1100
01:01:00,680 --> 01:01:03,160
Speaker 1: time and then like real life, which isn't always about

1101
01:01:03,200 --> 01:01:06,680
Speaker 1: food enough. And I can't tell. I don't know who

1102
01:01:06,680 --> 01:01:10,200
Speaker 1: knows what people like? Who the hell knows? They want everything?

1103
01:01:10,280 --> 01:01:14,080
Speaker 1: You know, they do how you spell inspires these days?

1104
01:01:14,760 --> 01:01:21,200
Speaker 1: Sp I E R s sele spears fine ya. I

1105
01:01:21,280 --> 01:01:24,080
Speaker 1: just want to clarify so people can find no one. Yeah, no,

1106
01:01:24,160 --> 01:01:26,800
Speaker 1: that's a good point because it is not apparently pronounced

1107
01:01:26,800 --> 01:01:28,880
Speaker 1: the way that it is spelled. My family is the

1108
01:01:28,880 --> 01:01:32,240
Speaker 1: one who doesn't understand apparently. And is there a tweet

1109
01:01:32,320 --> 01:01:36,560
Speaker 1: you've been enjoying? Oh yeah, this guy named Ryan sickler,

1110
01:01:37,240 --> 01:01:40,280
Speaker 1: He tweeted, um thinking about sleeping on the other side

1111
01:01:40,280 --> 01:01:42,280
Speaker 1: of the bed, you'll ever do that? Just say fuck

1112
01:01:42,320 --> 01:01:44,840
Speaker 1: it and switch it up because it kind of made

1113
01:01:44,840 --> 01:01:46,920
Speaker 1: me chuckle. And also I was like, oh, that's that's

1114
01:01:47,000 --> 01:01:50,800
Speaker 1: not provoking. Have I ever done that? I guess we

1115
01:01:50,840 --> 01:01:54,120
Speaker 1: don't share a bed with somebody where the sides are predetermined.

1116
01:01:54,400 --> 01:01:58,320
Speaker 1: Are you rubbing something in or no? But it sounds

1117
01:01:58,360 --> 01:02:01,200
Speaker 1: like you have a lot of free time based on

1118
01:02:01,240 --> 01:02:04,080
Speaker 1: how you're sleeping or is so big? I thought it

1119
01:02:04,120 --> 01:02:06,000
Speaker 1: was an interesting No, it is no, and to the

1120
01:02:06,000 --> 01:02:07,800
Speaker 1: point where I'm actually gonna be like, yo, I think

1121
01:02:07,800 --> 01:02:10,280
Speaker 1: we need to sleep on different sides. I need to

1122
01:02:10,280 --> 01:02:13,280
Speaker 1: know what that world is like. It is interesting. It

1123
01:02:13,320 --> 01:02:16,640
Speaker 1: does change everything your whole perspective. Yeah, that is true,

1124
01:02:16,720 --> 01:02:18,960
Speaker 1: because even like when I go to a hotel and

1125
01:02:19,000 --> 01:02:22,240
Speaker 1: I'm by myself, I have that habit of sleeping on

1126
01:02:22,320 --> 01:02:25,920
Speaker 1: the side I typically sleep on, and then sometimes I'm like,

1127
01:02:25,920 --> 01:02:27,160
Speaker 1: what the funk am I doing? And then I just

1128
01:02:27,200 --> 01:02:29,480
Speaker 1: do the full on like starfish in the middle of

1129
01:02:29,520 --> 01:02:31,760
Speaker 1: the bed. Yeah. Now you sound like you're great to

1130
01:02:31,760 --> 01:02:34,560
Speaker 1: share a bed with. Yeah, yeah, yeah, Well I have

1131
01:02:35,480 --> 01:02:37,360
Speaker 1: animals in my bed at night. And I can't even sleep,

1132
01:02:37,480 --> 01:02:44,320
Speaker 1: so podcast I can do. Oh you can find me

1133
01:02:44,560 --> 01:02:48,440
Speaker 1: on Twitter and Instagram at Miles of Gray. And there

1134
01:02:48,480 --> 01:02:51,000
Speaker 1: are two Reductors tweets that I just want to call

1135
01:02:51,040 --> 01:02:52,880
Speaker 1: out because I love them. One is an old one

1136
01:02:52,920 --> 01:02:55,840
Speaker 1: but it just gets me every time, and it's why

1137
01:02:55,920 --> 01:02:59,200
Speaker 1: I only fun men whose pulp fiction posters are framed

1138
01:03:01,280 --> 01:03:04,720
Speaker 1: like a very sensitive, like sort of contemp contemplative faced

1139
01:03:04,760 --> 01:03:07,480
Speaker 1: woman on it. And another one is a man looking

1140
01:03:07,520 --> 01:03:09,760
Speaker 1: like a real jerk in the kitchen. It says quick

1141
01:03:09,760 --> 01:03:12,280
Speaker 1: meals for when your roommate's boyfriend is in the kitchen

1142
01:03:13,360 --> 01:03:16,160
Speaker 1: and the guy looks like just an arrogant asshole thing.

1143
01:03:16,280 --> 01:03:19,240
Speaker 1: So out to Reductress. Also, I want to just shout

1144
01:03:19,240 --> 01:03:22,720
Speaker 1: out happy birthday to my girl, Sophie Simpson, Happy birthday

1145
01:03:22,720 --> 01:03:26,000
Speaker 1: to young Scorpio. Always thinking about you, and please have

1146
01:03:26,040 --> 01:03:32,680
Speaker 1: a blessed year. Scorpios about them, they're I don't know, hey,

1147
01:03:32,680 --> 01:03:34,960
Speaker 1: I mean they can they can sting you don't with

1148
01:03:34,960 --> 01:03:39,200
Speaker 1: the scorpion, that's for sure. Uh. Just today, Miles, great

1149
01:03:39,280 --> 01:03:42,080
Speaker 1: job yesterday. Yesterday's episode was wonderful. While I was yeah,

1150
01:03:42,080 --> 01:03:44,480
Speaker 1: I'm trying to solve the bombing banks, I thought you

1151
01:03:44,520 --> 01:03:49,920
Speaker 1: were gonna stay go but wow uh and super producer

1152
01:03:50,080 --> 01:03:54,280
Speaker 1: Sophie Lichtman. Great job on being the producer today. It's

1153
01:03:54,280 --> 01:03:56,520
Speaker 1: great to have you back. And you only made like

1154
01:03:56,720 --> 01:04:00,720
Speaker 1: three loud noises during the show, so really good working

1155
01:04:00,800 --> 01:04:06,880
Speaker 1: from an empty can just loud slurping noise. H And

1156
01:04:07,000 --> 01:04:09,040
Speaker 1: a tweet that I've been enjoying us from b e

1157
01:04:09,280 --> 01:04:13,320
Speaker 1: A Underscore k er Beaker just went for a piss

1158
01:04:13,360 --> 01:04:16,160
Speaker 1: while still wearing my microphone and the whole conference heard

1159
01:04:16,200 --> 01:04:24,000
Speaker 1: me call the urinal a thirsty boy. It's awful because

1160
01:04:24,000 --> 01:04:27,440
Speaker 1: I feel that that's real and I just picture everyone

1161
01:04:27,800 --> 01:04:33,080
Speaker 1: being like, you're a thirsty boy. Just get back from

1162
01:04:33,080 --> 01:04:37,880
Speaker 1: the desert, alright, mohabby thirst Alright. You can follow me

1163
01:04:37,880 --> 01:04:40,600
Speaker 1: on Twitter, Jack Underscore, Oh, Brian, you can follow us

1164
01:04:41,040 --> 01:04:43,760
Speaker 1: on Twitter at Daily Zikes. Were at the Daily Zycheist

1165
01:04:43,800 --> 01:04:45,600
Speaker 1: on Instagram. We have a Facebook fan page. On the

1166
01:04:45,680 --> 01:04:48,600
Speaker 1: website Daily guys dot com. We're post our episodes in

1167
01:04:48,640 --> 01:04:51,240
Speaker 1: our foot We link off to the information that we

1168
01:04:51,280 --> 01:04:53,840
Speaker 1: talked about today's episode, as well as the song we

1169
01:04:53,920 --> 01:04:56,840
Speaker 1: ride out on. You can also find that stuff in

1170
01:04:56,920 --> 01:05:02,200
Speaker 1: the Chinoes miles. What's on? Are We're gonna write out Uh.

1171
01:05:02,240 --> 01:05:05,360
Speaker 1: This is from Napalm, who's the lead singer of one

1172
01:05:05,400 --> 01:05:08,960
Speaker 1: of my favorite bands, Hiatus Coyote from Australia. Now, this

1173
01:05:09,000 --> 01:05:11,479
Speaker 1: is her solo album, and this is a track called

1174
01:05:11,520 --> 01:05:16,240
Speaker 1: cross Fire Slash So Into You. Uh, and it's just her.

1175
01:05:16,280 --> 01:05:18,600
Speaker 1: I love her voice, I love her guitar playing. That's

1176
01:05:18,600 --> 01:05:21,960
Speaker 1: a very soulful track. Uh. And yeah, enjoy It's not

1177
01:05:22,000 --> 01:05:24,520
Speaker 1: like super beat heavy, but I think you'll enjoy her

1178
01:05:24,680 --> 01:05:29,000
Speaker 1: her words, her lyrics, and her melodies. Uh. Yeah, So

1179
01:05:29,040 --> 01:05:33,640
Speaker 1: this is Napalm Crossfire Slash So Into You. Alright, we're

1180
01:05:33,640 --> 01:05:36,200
Speaker 1: gonna write out on that, but first I want to

1181
01:05:36,240 --> 01:05:40,880
Speaker 1: tell you about the trailer for the newest show on

1182
01:05:40,920 --> 01:05:44,280
Speaker 1: the House stuff Works Comedy Network out of our Los

1183
01:05:44,400 --> 01:05:49,720
Speaker 1: Angeles Studios. Creature feature posted by one Katie Golden, who

1184
01:05:49,720 --> 01:05:53,840
Speaker 1: writes on Twitter as Birds reds Activists from Adorable Bird.

1185
01:05:54,360 --> 01:05:56,400
Speaker 1: She has an amazing show that you guys have to

1186
01:05:56,440 --> 01:06:00,600
Speaker 1: go subscribe to. Uh, it's amazing. I always every time

1187
01:06:00,640 --> 01:06:03,720
Speaker 1: I sit in on one of these recordings, it's produced

1188
01:06:03,720 --> 01:06:05,840
Speaker 1: by yours truly, and every time I sit in on

1189
01:06:05,840 --> 01:06:08,800
Speaker 1: one of these recordings, I learned something that I can't

1190
01:06:08,800 --> 01:06:12,320
Speaker 1: stop thinking about for the next couple of days. Yeah,

1191
01:06:12,400 --> 01:06:15,120
Speaker 1: so it either gets your imagination going or your parents.

1192
01:06:15,240 --> 01:06:18,840
Speaker 1: You're going in one direction. Yeah. It's all about human

1193
01:06:18,840 --> 01:06:24,920
Speaker 1: evolution and animal behavior and similarities between the humans and

1194
01:06:25,200 --> 01:06:30,480
Speaker 1: animal kingdoms anyway, So subscribe to that immediately. All right,

1195
01:06:30,520 --> 01:06:33,080
Speaker 1: we're gonna write out on that. We will be back

1196
01:06:33,200 --> 01:06:57,800
Speaker 1: on Monday. Have a great weekend everybody. And you fall

1197
01:06:57,960 --> 01:07:03,440
Speaker 1: in love when you fall in love her, when you

1198
01:07:03,600 --> 01:07:09,760
Speaker 1: fall in love, when you fall in love. H