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Speaker 1: Oh my goodness, what is going on? Well, Hello the Internet,

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Speaker 1: and welcome to Season one, sixteen, Episode two of The

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Speaker 1: Daily Zeitgeist, a production of My Heart Radio. This is

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Speaker 1: the podcast where we look at America's cadaver, opened the skull,

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Speaker 1: look inside, have a nightmare based on what we saw.

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Speaker 1: Because it's our shared consciousness and officially off the top,

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Speaker 1: we want to say, for the record, fuck the Cooche

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Speaker 1: brothers as in the coke industry, okay, and also fun

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Speaker 1: Fox News, Yeah, brave. It's Tuesday, January. My name is

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Speaker 1: Miles Gray, a k A race in the middle of

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Speaker 1: hot gas. When are you gonna start to get high? Oh?

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Speaker 1: Daddy Jack, you know I'm still that time because Moss

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Speaker 1: gonna get happy. Yes, he's gonna get go. I just

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Speaker 1: had to take a little bit of great license at

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Speaker 1: the end there. Thank you too, Hannah Sultists back at

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Speaker 1: it with that Cindy Lover, gorgeous girls just want to happen.

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Speaker 1: Thank you so much. I can only sing a false

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Speaker 1: I have a terrible regular voice. I really spent a

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Speaker 1: lot of my time focusing on my falls life. I'm

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Speaker 1: making myself because I'm doing pick up artists with my

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Speaker 1: own sense of confidence, and then I'm hoping I'll fall

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Speaker 1: in love with myself based on the nagging that sounds

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Speaker 1: that we're like two years out from that veg is

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Speaker 1: a way people like nor Anyway, who is that? Who

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Speaker 1: was that? What's that spooky voice out here? Oh list

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Speaker 1: none other than my fantastic guest co host. Uh you

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Speaker 1: already know it's Jamie loftis substitute teacher day. Don't be

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Speaker 1: shocked at my takes are so tight. Still um still

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Speaker 1: Jamie from the zeke. Look, how did I bumble that

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Speaker 1: I've got some I've got some other ones? Okay, ak

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Speaker 1: zam Vita parun Ak Queen Elizam with the first ak

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Speaker 1: alexanber hanimalton A k Zamber day O'Connor. The Zamboni. The

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Speaker 1: Zamboni brand is strong, well, not especially that I've mounted one.

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Speaker 1: You know what needs to happen? We should maybe No,

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Speaker 1: that's fine. I was just more focused on my bad

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Speaker 1: idea is that I would love to see like a

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Speaker 1: pimped that zamboni where your face is like airbrushed on

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Speaker 1: the hood and shipped like official zam Zam. I feel

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Speaker 1: like I would have to die first for that to happen. No, No,

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Speaker 1: that would be like rest in Paradise, I know, right,

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Speaker 1: like and then I would get the hairbrush samboni. That

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Speaker 1: would be good, and then it's immediately washed off. They're like, no,

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Speaker 1: this is a fucking dignified vehicle. Let's get this woman's

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Speaker 1: mug out of here. Well, I mean, let's let's let's

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Speaker 1: just put that tragedy to the side for a second

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Speaker 1: of you're not being on the zamboni, and let's take

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Speaker 1: a second to welcome our guests. Uh the just amazingly talented,

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Speaker 1: hilarious person who I felt like I thought I had

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Speaker 1: met her, but it's only because of Twitter, you know

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Speaker 1: that how that happens. Please welcome Melissa lim Paris. Thank

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Speaker 1: you so much. Now I would have prepared a song.

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Speaker 1: I would have prepared off go off. Oh my gosh,

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Speaker 1: I what's a nickname that you had in high school? Uh? Well,

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Speaker 1: you know, my last name is lim Paris. And people

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Speaker 1: would have a lot of fun would like like yeah,

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Speaker 1: lim Paris, biscuit, Yeah, like pimp, like lip pim Paris. Yeah.

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Speaker 1: It wasn't accurate. I didn't even know what like a

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Speaker 1: penis was like, it was like it wasn't like I

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Speaker 1: didn't even know what pimp was, right, I was like pimples,

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Speaker 1: Oh no, I have acted. Yeah, where'd you grow up?

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Speaker 1: I grew up in Seacock, Massachusetts. But it's like right

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Speaker 1: on the border of Rude Island. Yeah, east coast Massachusetts.

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Speaker 1: How is that? Is that costa situate? Yeah? All right, okay,

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Speaker 1: that's a nice one because people usually say Pilson, I

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Speaker 1: like that you came in with situation that like maybe

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Speaker 1: a couple of periods of hockey. And you know what,

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Speaker 1: now that I see it drinking a little bit on

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Speaker 1: the reason I know Milford is because I played trumpet

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Speaker 1: and there's a valve oil called al Cast, like a

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Speaker 1: valve oil, and it's made in Milford, mass And in

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Speaker 1: my mind I would say al Cast, Milford, mass Yeah.

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Speaker 1: One export is valve oil. Yeah yeah, oh yeah. And

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Speaker 1: also we're I want the listeners snow, we're drinking both

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Speaker 1: sparkling water and cold brew from the one the only, Yes, Kirklands,

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Speaker 1: that's where we did every That's when we got closed

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Speaker 1: as a ship. I mean yeah, yeah. People are worried

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Speaker 1: about Amazon taking over Kirkland is already, that's right. My

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Speaker 1: hometown was called Brockton was called shoe City because there

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Speaker 1: used to be a lot of shoe factories back when

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Speaker 1: things were made in America. And now there's one shoe

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Speaker 1: three left. So if you've ever worn foot joy, oh

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Speaker 1: really they make golf stuff for golf. Yeah, that's the

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Speaker 1: one shoes. That's the one thing left is sho surviving

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Speaker 1: the irony though it's a business that appeals to like

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Speaker 1: one per center. We're like, that's like a boot for

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Speaker 1: like arc welders. It's like, hey man, you want to

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Speaker 1: like fucking exploit some working people on the golf course.

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Speaker 1: It's Massachusetts parasite. Well, shout out to the Great Commonwealth

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Speaker 1: of Massachusetts. I would never say state because I don't

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Speaker 1: want that smoke before we get to know you even better.

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Speaker 1: Alyssa and the Great Commonwealth of Massachusetts. Let's tell people

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Speaker 1: what we're gonna we'll preview what we're gonna talk about.

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Speaker 1: Corey Booker has dropped out. Uh yeah, that's the end

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Speaker 1: of that. Uh. Four embassies. That whole argument that Trump

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Speaker 1: had as to why he had to put everyone in

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Speaker 1: the world in jeopardy, that that story is just falling up.

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Speaker 1: It's disintegrating upon re entry into reality. Also, just you know,

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Speaker 1: some some back and forth with Bernie and the Elizabeth

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Speaker 1: Warren campaign. Um, just there's there's all. There's all kinds

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Speaker 1: of there's things going on, like he's he's surging and

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Speaker 1: now other stories are coming out. There's all. There's a

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Speaker 1: look lots going on. We have these primaries. People are stressed,

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Speaker 1: and I think we're seeing knives come out a little bit,

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Speaker 1: like people starting to be like is it time to start?

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Speaker 1: We'll see you get your little right rise out. Um. Also,

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Speaker 1: we're going to talk about the winners the Ritz Cracker competition.

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Speaker 1: I did not know, you know, Awards seasons in full swing.

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Speaker 1: We're talking about. You can't even get it what everyone's

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Speaker 1: talking about on Twitter this morning. I was like, I

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Speaker 1: can't believe it. She's like, congratulations to these crackers. Sorry. Um,

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Speaker 1: and uh yeah, we'll talk about the Oscar nominations and

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Speaker 1: many more. So. First, Alyssa, what is something from your

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Speaker 1: search history that you know it's a little revealing about

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Speaker 1: who you are? Well, I was thinking about this last night.

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Speaker 1: I couldn't really sleep last night, and I I googled

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Speaker 1: this is something I did google. Not the actors names.

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Speaker 1: I googled are Dwight and Jim friends in real life?

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Speaker 1: It's like that is that's like a four am search.

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Speaker 1: It's like what, I don't know who has You're then

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Speaker 1: googling from the reality of the show exactly, so like

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Speaker 1: it's not even it's not even like the editing have

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Speaker 1: the actor's names. It was just like, oh, you know,

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Speaker 1: I wanna I gotta know where they they're not. Are

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Speaker 1: Krasinski and Wilson a real duo? Yes? Right? Are they? Well?

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Speaker 1: See because the reason I looked it up is because

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Speaker 1: I have never watched The Office, like all the way

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Speaker 1: through the end, Like I used to just watch it

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Speaker 1: till when Michael left, and recently I watched the end

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Speaker 1: and I was like, it's really sweet. You really see

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Speaker 1: the two of them like they I think, yeah created.

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Speaker 1: And then I was like, oh, I wonder if there's

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Speaker 1: still pals. I mean they were, you know, every interview,

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Speaker 1: I feel like that question you never get. Every answer

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Speaker 1: you always get is like yeah, yeah, it's never like

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Speaker 1: you went to Aspen. They would Aspen together every person.

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Speaker 1: I don't Yeah, if there's not pictures of them at

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Speaker 1: lunch exactly, I don't believe it for a second. I'm

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Speaker 1: like show me the one picks or you're not real friends.

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Speaker 1: I agree, Well, it seems like also like I I

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Speaker 1: don't know if I'm wrong, but I feel like Rain

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Speaker 1: Wilson came out of like being like a theater actor,

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Speaker 1: and then so and then Krasinski was just more of

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Speaker 1: like I feel like they started in different places where

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Speaker 1: we're about somewhere rich probably I don't know where anyone

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Speaker 1: and Chris Evans are from like similar, oh to tell

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Speaker 1: so Yeah, I mean I feel like they seem like

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Speaker 1: sort of different people from their origins, don't. I feel

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Speaker 1: like we all looked that stuff up to just to

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Speaker 1: you just like it's it's like you want to believe

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Speaker 1: this thing. It's like searching like this, Dr Mifflin. I

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Speaker 1: just want to believe in like this. Yeah. The second

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Speaker 1: I realized they were shooting like in l A, I

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Speaker 1: was just like I was like, I'm driving up and

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Speaker 1: down those streets. I'm finding it. It was Yeah. I

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Speaker 1: mean I wasn't devastated because I grew up here, so

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Speaker 1: I knew nothing's really you here. Yeah, because that's how

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Speaker 1: I like, even when I found out like dwait Seinfeld

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Speaker 1: wasn't shot and like York streets of New York City. Yeah,

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Speaker 1: started Gilmore Girl with hit Connecticut Friends. Yeah, it's yeah,

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Speaker 1: nothing's really, Nothing's really Yeah. I wish they were the

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Speaker 1: one part in the post Michael Scott era of the Office.

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Speaker 1: I really liked when James Spader's character Robert California came

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Speaker 1: in the Halloween episode where he was like slow accepting everyone,

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Speaker 1: like figuring out their fears so he could tell that

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Speaker 1: ghost story at the end. I think it's really a

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Speaker 1: remarkable Yeah, he's I got James Spader's remark. Yeah, he's

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Speaker 1: such a an insane talent. He has such a good

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Speaker 1: creep vibe. Totally. Yeah, I never saw his episodes. Yes, yeah,

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Speaker 1: very It's it's like sort of right after Michael leaves.

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Speaker 1: It's like they settle on him taking over from Michael

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Speaker 1: after like the little cameos from like Will Ferrell and

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Speaker 1: Jim Kinger three episodes and then they decided on the

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Speaker 1: boss the CEO or something. I watched just so disjointed now,

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Speaker 1: but anyway, um, what's something that's overrated? Yeah, Okay, so

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Speaker 1: I know we're past the season, but I gotta say

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Speaker 1: I'm happy the holidays are over. I'm not a big

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Speaker 1: fan of like holiday food, Like I don't. I don't

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Speaker 1: go crazy over like Thanksgiving food Christmas meals. I don't.

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Speaker 1: Nothing excites me about those dinners. I'm glad to be

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Speaker 1: eating my snacks again. I'm glad to be back on that. Yeah,

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Speaker 1: is it? So? I'm guessing this is born out of

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Speaker 1: a pattern where Christmas time comes around and then you're

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Speaker 1: subjected to like the same three meals. Exactly why are

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Speaker 1: we still eating the same meals? So? Do I get it?

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Speaker 1: I don't eat turkey aside from Thanksgiving Day, but I

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Speaker 1: love stuffing. That's like the one thing I really get

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Speaker 1: excited about on that plate. It's not the turkey. And

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Speaker 1: then Christmas, I've never really had a consistent christ what's

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Speaker 1: Christmas meal for you all? Yeah? Christmas? We I'm Greek,

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Speaker 1: so we have this. Like my boyfriend was at my

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Speaker 1: Christmas this year and he was like, none of this

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Speaker 1: food is food to any human would eat like a normandy.

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Speaker 1: He's like this, it feels like it was food from

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Speaker 1: like a for an era. It's like yeah, heavy really

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Speaker 1: like heavy cream sauce, sauces and like Lasania. It's like

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Speaker 1: with none of us would eat. Yeah, it's meant to

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Speaker 1: do that. Everything to do that. Yeah, it's true. Yeah, yeah, yeah.

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Speaker 1: I like Thanksgiving food. I like gravy, I like potatoes,

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Speaker 1: I like stuffing. My favorite food when I was a

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Speaker 1: kid was corn. Corn can give me weakness, Give jamiere corn, yeah, corn,

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Speaker 1: plate of corn, and just like go to my room.

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Speaker 1: But would like that, Yeah, I just I still do.

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Speaker 1: Sometimes Sometimes you're just like the little what do they

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Speaker 1: call them, the green giants? Yea packs. I have a

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Speaker 1: whole asking of corn. It's good, butter just well, it depends. No,

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Speaker 1: I kind of like corn in the raw. Wow, I'm

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Speaker 1: not like the girls. You know, I've got a secret, honey.

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Speaker 1: But like a holiday or apetially like a Christmas meal,

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Speaker 1: that's kind of chaos. I feel like every family has

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Speaker 1: a different especially if you have like if you're not American,

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Speaker 1: like you have any kind of immigrant background. So shout

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Speaker 1: out to Alas and the Greek people. Uh, and then also, um,

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Speaker 1: what does that mean? Like should we get a drink

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Speaker 1: or something? Yeah? Sure, I know the song. My Greek

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Speaker 1: friends would always sing that and I was like, what

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Speaker 1: does that mean? He's like, it means like, let's get

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Speaker 1: a drink. Songs are the best way to learn languages. Yeah,

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Speaker 1: because it's like melody even though like I don't even

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Speaker 1: know how to pronounce it, and then that's like the

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Speaker 1: one bit of common grad'll have. Um. But yeah, like

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Speaker 1: for me, like my mom will make just any random

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Speaker 1: Japanese dish because because half the time she doesn't know

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Speaker 1: it's Christmas. Do they know it's Christmas time? No, they

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Speaker 1: don't because they're not Christian and they live in another

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Speaker 1: part of the world. Very I was just thinking about

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Speaker 1: that song to take a tangent about, like, yeah, it's yeah,

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Speaker 1: most people wouldn't know that it's Christmas time, but yeah,

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Speaker 1: I just don't. Yeah, I don't have anything consistent I

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Speaker 1: eat for Christmas aside from maybe there's like a we'll

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Speaker 1: go out to eat. But yeah, like that. I love

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Speaker 1: getting back to normal routine. I love a routine too,

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Speaker 1: So it's like, yeah, I don't like the switching of

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Speaker 1: the Holidays are almost chaos. That's how I feel. Holidays

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Speaker 1: are like it's fun, but it's I felt so happy

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Speaker 1: getting back here and being like I'm going grocery shopping

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Speaker 1: and I'm like, yeah, right back to my things. How

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Speaker 1: I will say I was home for a while I like,

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Speaker 1: I want to. I was home for probably three weeks

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Speaker 1: or two in New York City, and you know, the

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Speaker 1: suburbs a lot of time. What's something that's underrated. I

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Speaker 1: love listening to FM radio. I don't think anyone listens anywhere.

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Speaker 1: People are like, the music is bad and there's commercial

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Speaker 1: all the time, and I agree both those things are true,

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Speaker 1: but I indulge in it. It's kind of nice to

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Speaker 1: not have to worry about. Like when I'm on Spotify,

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Speaker 1: I'm like, I gotta find the coolest music. I gotta

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Speaker 1: be the radio. It's like, just give me the like,

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Speaker 1: give me the song. I already know, I'm dry, I'm

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Speaker 1: stuck in traffic. Let me just belt out this, like

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Speaker 1: you know, thirty year old songs. Mr Brightsides having a revel.

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Speaker 1: You listen to the radio, you'll hear Mr. Brightside about

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Speaker 1: four times. It's that what a song? What's staying power?

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Speaker 1: It really won't quit, it won't. And if your son

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Speaker 1: could be any age, yes it could be. You could

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Speaker 1: tell me you came out in the seven like this year. Yeah, yeah,

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Speaker 1: I know it's yeah, but yeah. People always like, oh,

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Speaker 1: that's just ship on the radio. I'm like, yeah, great,

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Speaker 1: I love it. That's yeah. So for yeah, because it

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Speaker 1: takes the pressure off of you to provide a soundtrack

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Speaker 1: for yourself and choose the make the true and then yeah,

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Speaker 1: you just get to the reason like you hear the

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Speaker 1: same things over and over is because the way they

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Speaker 1: do ratings is like people wear this like they used

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Speaker 1: to wear a monitor like a Nielsen like pager you

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Speaker 1: had that would find out what station you were tuned into.

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Speaker 1: So because of that, a lot of people who work

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Speaker 1: in offices that just play radio over there um like

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Speaker 1: speakers in an office. It was like sort of artificially

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Speaker 1: favoring like Top forty stations because that's sort of the

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Speaker 1: most broad radio station you could play in an office.

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Speaker 1: So then other stations are sort of like, well, we

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Speaker 1: also need to be able to make sure that we're

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Speaker 1: playing a hit. So no matter what, if you fucking

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Speaker 1: tune to it and it's not one of the nine

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Speaker 1: million ads you're hearing, it's a fucking hit and you're

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Speaker 1: gonna stay for the chance to get that little bit

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Speaker 1: of a metric bump. True, yeah, but what wait, what

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Speaker 1: stations are you listening to now to get your your throwbacks?

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Speaker 1: Do you heart radio? Well, I have to say for

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Speaker 1: the record, I have to say off the record of

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Speaker 1: this is off the record, just between the three of

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Speaker 1: us and all the listeners. I love country music. So

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Speaker 1: not only am I listening to Top forty, I'm listening

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Speaker 1: to Top forty country music, Top forty Country. I feel

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Speaker 1: like that's like, yes, we're your favorite artists. Um, yeah,

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Speaker 1: I love I love Little Big Town, I love Old Dominion,

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Speaker 1: I love Zach Brown Band. But really I'm a I

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Speaker 1: grew up on country music. So I also think it's

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Speaker 1: probably a thing of like nostalgia being in l A,

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Speaker 1: being on a different coast, being like, oh, a lot

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Speaker 1: of things are unfamiliar here, but like this is something.

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Speaker 1: I'm in a car and listening to this music. I

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Speaker 1: could be in Massachusetts right now and it's Chris Gaines

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Speaker 1: and it's Chris coming through the speakers. Yes, yes, Garth Brooks,

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Speaker 1: what was what was his what was his alter ego? Yeah? Yeah,

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Speaker 1: I think that's it. Okay. I just want to make

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Speaker 1: sure you get an alter ego like Lady Gaga. He

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Speaker 1: had like the swoop bang and everything that's fun is

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Speaker 1: fun like that. Yeah, I didn't know they do that

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Speaker 1: in country music. They do like Beyonce Sasha fierce thing

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Speaker 1: out the whole was Chris Gaines. That's my favorite thing

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Speaker 1: about that is incredible. What a weird thing to do.

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Speaker 1: And he's got the little ship Beard triangle they call it. Yeah,

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Speaker 1: we're to want an alter ego and then go and

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Speaker 1: like the most like a disgusting facial like what if

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Speaker 1: I was fucking gross? It's more of an alter emo.

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Speaker 1: What is a myth? What is something that people just

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Speaker 1: get wrong? Like you know the truth about I'll tell

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Speaker 1: you what. There is no cure for hiccups, but time

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Speaker 1: and every time you get hiccups, every one in the

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Speaker 1: room starts going you gotta stand on your elp, block

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Speaker 1: your nostrils. It's like, no, this is just my pain now,

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Speaker 1: and I have to see it till it's end. And

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Speaker 1: that's it. There's no because if there's a lung spasm,

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Speaker 1: technically isn't it it's a lung spasm, diaph or, a

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Speaker 1: diaphragm is spasm, Yes, yes, And it's just got to

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Speaker 1: do it, say yeah, it's it's what's done is done.

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Speaker 1: I used to do every fucking remedy. Yeah, well until

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Speaker 1: not even joking, maybe seven years ago well and what

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Speaker 1: it hits and it's like bad. Sometimes you're still you're desperate.

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Speaker 1: That is, it's such a desperate thing that happens that

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Speaker 1: you'll listen to drinking upside down. You're like, sure, I

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Speaker 1: suck it. I would just be in my chair and

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Speaker 1: I would just put my head down the water and

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Speaker 1: I'm like, yeah, I know the drinking upside down thing.

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Speaker 1: It's like no one's ever been able to success and

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Speaker 1: we all go to choke. It makes a choke. Yeah,

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Speaker 1: And maybe it's a prank that kids were told just

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Speaker 1: to be like idiot, almost drowned yourself, right. Her parents

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Speaker 1: being like I just shut them up, get them on

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Speaker 1: their fucking head and let them drink upside there. Just

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Speaker 1: stop think that's another one. Just stop breathing and it'll stop.

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Speaker 1: My family was like big about pushing the fear element.

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Speaker 1: They're like, you just have to be afraid. And it's

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Speaker 1: like the worst kind of people will be will take

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Speaker 1: the fear angle and they'll be like, oh if I

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Speaker 1: fucking like stabbed you right now, you would stop hiccuping,

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Speaker 1: Like my cousin would like hit us around. Are your

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Speaker 1: hiccuping fears abuse to yeh? Yeah, to to incite violence

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Speaker 1: on your cousins and be like, I'm helping helping your

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Speaker 1: hiccups as cousins, like you'd be like, I'll stab you

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Speaker 1: with a big really think about that ship, yeahs think,

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Speaker 1: Oh that's horrifile. Yeah, he's doing great good, that's cousins.

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Speaker 1: That's what cousins do. A professional hiccup doctor. Yeah, yeah,

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Speaker 1: he just stabs kids with big pens and then all

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Speaker 1: of a sudden the're not hiccuppings. Who hasn't been stabbed

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Speaker 1: to the big pen though, to be honest, I don't

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Speaker 1: actually have are actually mechanical big pencil I've been hit with.

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Speaker 1: I've accidentally stabbed myself with a mechanical pencil accidentally. Well,

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Speaker 1: like I think, like and like whatever, you're in class

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Speaker 1: and then you're like, you know, like you were just

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Speaker 1: pounding your thigh with your fish pounded. I pounded my

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Speaker 1: thigh and thought and then I kind of tenderized your quad. Yeah, wow,

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Speaker 1: I care too much about blade tenderized. They call that

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Speaker 1: in the business. Um, okay, So onto some some news

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Speaker 1: that isn't as big as Chris Gaines soul patch. Just

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Speaker 1: I'm not even joking. Probably like twenty years ago. That's

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Speaker 1: going to change my day, Chris Gaines. And also knowing

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Speaker 1: you and your imagination, who knows what kind of creative

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Speaker 1: work will come out of you. Even being introduced to

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Speaker 1: Chris Gaines, agree right, like, oh my god, wait, actually, Jamie,

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Speaker 1: you could be Chris Gaines. I mean you should bring

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Speaker 1: I think you're the person to put a little soul

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Speaker 1: patch on swiped your bangs a little not to like

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Speaker 1: to my own horn, but I could look like Chris

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Speaker 1: Games do a whole motherfucker's solo on that horn, because

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Speaker 1: I believe in it. Um, Corey Booker, he has suspended

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Speaker 1: his campaign. It's lights out. What does Rosario say? I

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Speaker 1: don't know. I mean he just had a video where

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Speaker 1: he was very gracious and was like, you know, uh,

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Speaker 1: we took try our best and I will support whoever

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Speaker 1: the camp of the nominee is in the end, and

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Speaker 1: everybody down ballot, thank you so much for Corey Booker.

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Speaker 1: Like he's like a very like your soccer coach as

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Speaker 1: a kid, you know, like you lose everything and he's like,

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Speaker 1: that's okay, pizza. What I'm proud of is we went

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Speaker 1: out there on that field and we left it all

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Speaker 1: out there and we would lose ten nil, eleven nil

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Speaker 1: every time, but hey, we didn't score a single goal.

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Speaker 1: But hey, do you not feel totally He'll be I mean,

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Speaker 1: he'll be He'll be back. Yeah, he'll be back. I mean,

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Speaker 1: I think he was a great like he's as an

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Speaker 1: orator at good moments where he was really sort of

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Speaker 1: connecting the dots of some of the you know, emotions

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Speaker 1: around certain issue using and connecting that with certain policies.

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Speaker 1: But I think at the end of the day, like

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Speaker 1: when you look at the kinds of candidates who are

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Speaker 1: really getting the attention, anyone who's trying to be just

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Speaker 1: even you know, even near the middle right now isn't

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Speaker 1: quite getting this sort of enthusiasm. And I think he

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Speaker 1: was hoping for every person that dropped out he would

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Speaker 1: get a little bit more, a little bit more, and

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Speaker 1: I think it just never materialized into he wasn't willing

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Speaker 1: to go as far left as some candidates and also

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Speaker 1: wouldn't go as far right as Joe Biden. So you're

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Speaker 1: just sort of left in this like no man's land,

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Speaker 1: and especially with Trump, it's especially this election, it's just

398
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Speaker 1: not going to happen like where he's Trump so fucking

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Speaker 1: extreme that like, yeah, you need to go we need

400
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Speaker 1: someone like Bernie because it's like, yeah, Bernie's a response

401
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Speaker 1: to Trump, you know, or enthusiasm. Well anyway, king, he's

402
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Speaker 1: a king. When you have the pendulum going one way, yeah,

403
00:21:48,640 --> 00:21:50,600
Speaker 1: like it's only just creating more force for it to

404
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Speaker 1: go the other way, to sit in the middle. It's

405
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Speaker 1: like the pendulum will blow right by you. Yeah, it's

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Speaker 1: I liked. My head canon here is that Corey Booker

407
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Speaker 1: was like pacing or around the office is being like,

408
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Speaker 1: we cannot drop out before Marianne. We got it, we

409
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Speaker 1: need we have enough money to outlash and I'm gonna wait.

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Speaker 1: I'm gonna wait a week. So it doesn't seem like

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Speaker 1: that's what I was waiting to happen. Yes, she dropped

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Speaker 1: out like last Monday, and now he's like, okay, fine, okay,

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Speaker 1: it's been enough time. I feel like that was the

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Speaker 1: mantra in those campaign offices. It's just like just not

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Speaker 1: before marian Yes, Marianne was down to just herself in

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Speaker 1: her campaign office, and he's like, she's still not dropping out.

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Speaker 1: What she's she's got like magical bugs working for her.

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Speaker 1: She might she might have we might wait, we might

419
00:22:35,880 --> 00:22:39,480
Speaker 1: have to investigate. Mariam would employ Every bug is magical,

420
00:22:40,080 --> 00:22:43,120
Speaker 1: every book. There is no book that is not magical.

421
00:22:43,200 --> 00:22:47,920
Speaker 1: That's sister, that's the lights on here. Love it really does. Yeah.

422
00:22:48,520 --> 00:22:51,720
Speaker 1: But also cash. Yeah, so actually, if you're gonna send

423
00:22:51,720 --> 00:22:54,439
Speaker 1: love or cash, please send cash. But also but love works,

424
00:22:54,600 --> 00:22:56,320
Speaker 1: but just not as well. Well, we'll see, We'll see

425
00:22:56,320 --> 00:22:58,639
Speaker 1: plenty of Cory Booker in the future. Yeah, And I mean,

426
00:22:58,680 --> 00:23:01,359
Speaker 1: I think this sort of underlines the lack of diversity.

427
00:23:01,480 --> 00:23:05,160
Speaker 1: I think, especially when considering the support that African Americans

428
00:23:05,160 --> 00:23:07,520
Speaker 1: give the Democratic Party, there are a lot of people like,

429
00:23:07,640 --> 00:23:10,679
Speaker 1: why why isn't this field of candidates look more like

430
00:23:10,720 --> 00:23:13,919
Speaker 1: the people that who have been supporting the party, And

431
00:23:13,960 --> 00:23:16,800
Speaker 1: I think it's you know, eventually there'll be a candidate

432
00:23:16,840 --> 00:23:19,480
Speaker 1: that he ticks all the boxes. But I think for

433
00:23:19,600 --> 00:23:21,919
Speaker 1: Corey Booker, you know, his love of Wall Street and

434
00:23:21,920 --> 00:23:26,480
Speaker 1: Big Pharma not not exactly what is needed considering the

435
00:23:26,560 --> 00:23:29,600
Speaker 1: stakes and what Wall Street and Big Pharma means to

436
00:23:29,720 --> 00:23:33,600
Speaker 1: working people who cannot afford prescription drugs or get uh,

437
00:23:33,720 --> 00:23:36,040
Speaker 1: you know, an increase in wages. But we'll get to

438
00:23:36,119 --> 00:23:38,879
Speaker 1: that later on. Um So until then, let's take a

439
00:23:38,960 --> 00:23:51,160
Speaker 1: quick break and we'll be right back. And we're back,

440
00:23:51,640 --> 00:23:56,760
Speaker 1: and we should check in with the president who you know,

441
00:23:57,160 --> 00:24:00,560
Speaker 1: last week, I was trying to explain to the entire

442
00:24:00,600 --> 00:24:05,119
Speaker 1: world why he put everyone at risk with his just

443
00:24:05,680 --> 00:24:12,080
Speaker 1: very impulsive, impetuous decision to assassinate Solamani, the general in Iran,

444
00:24:12,680 --> 00:24:16,280
Speaker 1: but on Iraqi soil. So he says, so that authorization

445
00:24:16,280 --> 00:24:18,640
Speaker 1: of military force counts for this, even though is voted

446
00:24:18,680 --> 00:24:22,840
Speaker 1: on how many years ago. Um. You know, he's had

447
00:24:22,880 --> 00:24:27,639
Speaker 1: a lot of trouble getting support because even the briefings

448
00:24:27,640 --> 00:24:31,119
Speaker 1: he gave was pissing off senators who are Republicans who

449
00:24:31,200 --> 00:24:33,920
Speaker 1: normally love every single thing he does. But the utter

450
00:24:34,119 --> 00:24:39,320
Speaker 1: lack of clear explanation around the logic to go ahead

451
00:24:39,400 --> 00:24:41,520
Speaker 1: and do something like this, and just the lack of

452
00:24:41,560 --> 00:24:45,920
Speaker 1: like notificating like, oh my god, people, of course, well

453
00:24:45,960 --> 00:24:52,200
Speaker 1: I'm canceled. There talk notificating, and I'll tell you what. Look,

454
00:24:52,240 --> 00:24:55,120
Speaker 1: if you get canceled, I'll make sure you get that Zamboni,

455
00:24:55,280 --> 00:25:04,800
Speaker 1: thank you, ye culturally can Bony, I'm sorry, I just

456
00:25:04,880 --> 00:25:07,760
Speaker 1: ruined everything. No, No, you could also really tell last

457
00:25:07,800 --> 00:25:09,600
Speaker 1: week when you were listening to any interview with any

458
00:25:09,640 --> 00:25:12,679
Speaker 1: Republican that there was not a legit reason because they

459
00:25:12,680 --> 00:25:14,320
Speaker 1: were kind of like the way they were talking. I

460
00:25:14,359 --> 00:25:15,720
Speaker 1: was like, oh, that's how I would talk about it

461
00:25:15,760 --> 00:25:18,239
Speaker 1: if someone asked me right now. Well, there was there

462
00:25:18,320 --> 00:25:21,000
Speaker 1: was some definite, there was some there were some thoughts,

463
00:25:21,000 --> 00:25:25,080
Speaker 1: and it's like, what he didn't say anything there. At

464
00:25:25,080 --> 00:25:27,800
Speaker 1: a rally though too, he again there was all this

465
00:25:28,240 --> 00:25:33,120
Speaker 1: confidential information, classified information couldn't share because as we see it,

466
00:25:33,119 --> 00:25:35,720
Speaker 1: it sounds like there was no fucking reason. And also

467
00:25:35,760 --> 00:25:38,360
Speaker 1: we found out that seven months ago he had basically

468
00:25:38,400 --> 00:25:41,560
Speaker 1: greenlit some kind of attack. Um, so there was no

469
00:25:41,640 --> 00:25:45,040
Speaker 1: imminent threat. So let's just I mean, I don't know why.

470
00:25:45,080 --> 00:25:47,880
Speaker 1: I'm thinking the president would be honest and take accountability

471
00:25:47,880 --> 00:25:50,119
Speaker 1: in this instance, but he doesn't. Um. And at a

472
00:25:50,200 --> 00:25:54,160
Speaker 1: rally suddenly he gave this information out where he was like, oh,

473
00:25:54,320 --> 00:25:57,240
Speaker 1: this guy was planning all kinds of attacks, y'all, but

474
00:25:57,359 --> 00:26:01,480
Speaker 1: he directed the recent rocket strikes that wounded for American

475
00:26:01,600 --> 00:26:06,040
Speaker 1: service members badly wounded and killed an American citizen. That

476
00:26:06,200 --> 00:26:12,720
Speaker 1: was just before we happened to hit him. Solomony was

477
00:26:12,800 --> 00:26:17,760
Speaker 1: actively planning new attacks, and he was looking very seriously

478
00:26:18,320 --> 00:26:21,719
Speaker 1: at our embassies and not just the embassy in Baghdad,

479
00:26:22,160 --> 00:26:25,199
Speaker 1: But we stopped him, and we stopped him quickly, and

480
00:26:25,280 --> 00:26:31,200
Speaker 1: we stopped him cold. So again taking I don't I

481
00:26:31,240 --> 00:26:33,520
Speaker 1: don't know why he thought he was doing a WWF

482
00:26:33,800 --> 00:26:38,080
Speaker 1: like taunting session, but that's when he's playing to his crowds.

483
00:26:38,119 --> 00:26:40,080
Speaker 1: But again, you heard there he said, Oh, it wasn't

484
00:26:40,119 --> 00:26:43,320
Speaker 1: just that one, it was many other embassies. And then

485
00:26:43,440 --> 00:26:45,960
Speaker 1: that had a lot of people asking why didn't anyone

486
00:26:46,119 --> 00:26:49,160
Speaker 1: hear this? Like what this is? This never came out

487
00:26:49,240 --> 00:26:51,440
Speaker 1: until at a rally when the pressure is on, because

488
00:26:51,440 --> 00:26:54,760
Speaker 1: it's so clear that the administration has been lying. So

489
00:26:54,920 --> 00:26:59,119
Speaker 1: then on Sunday, Defense Secretary Mark Esper he went around

490
00:26:59,119 --> 00:27:02,600
Speaker 1: to the shows UM and I don't know what happened,

491
00:27:02,600 --> 00:27:05,399
Speaker 1: but he decided to tell the truth out loud to

492
00:27:05,480 --> 00:27:09,080
Speaker 1: a journalist on tv UM. He was asked, you know,

493
00:27:09,119 --> 00:27:11,960
Speaker 1: they were saying, like when he was asked about the

494
00:27:12,640 --> 00:27:14,600
Speaker 1: what the what the president was talking about with all

495
00:27:14,600 --> 00:27:17,400
Speaker 1: this embassy talk, he was saying, well, the president believed

496
00:27:17,600 --> 00:27:21,080
Speaker 1: he probably and could have there could have been attacks,

497
00:27:21,359 --> 00:27:25,520
Speaker 1: and then, uh, like any good journalist, they unpacked that

498
00:27:25,520 --> 00:27:29,120
Speaker 1: that sounds more like an assessment than a specific tangible

499
00:27:29,240 --> 00:27:33,080
Speaker 1: threat with a decisive piece of intelligence. Well, the President

500
00:27:33,080 --> 00:27:35,439
Speaker 1: didn't say there was a tangile. He didn't cite a

501
00:27:35,440 --> 00:27:37,720
Speaker 1: specific piece of evidence. What he said is he probably

502
00:27:37,760 --> 00:27:42,040
Speaker 1: he believed I didn't see one. With regard to four embassies.

503
00:27:42,119 --> 00:27:44,520
Speaker 1: What I'm saying is I share the President's view that

504
00:27:44,640 --> 00:27:46,800
Speaker 1: probably my expectation was they were going to go after

505
00:27:46,800 --> 00:27:50,359
Speaker 1: our embassies, our embassies the most prominent they went from.

506
00:27:50,400 --> 00:27:53,320
Speaker 1: So my man is are there receipts there for? Not

507
00:27:53,400 --> 00:27:55,600
Speaker 1: that I've seen. But and then he tried to do

508
00:27:55,640 --> 00:27:58,080
Speaker 1: the thing of being the homie and being like but like,

509
00:27:58,160 --> 00:28:02,160
Speaker 1: I get that he wastest that he might like that,

510
00:28:02,480 --> 00:28:05,840
Speaker 1: he was hungry, he had a bad day. Like I

511
00:28:05,920 --> 00:28:08,720
Speaker 1: get it. It literally sounds like justifying the like the

512
00:28:08,760 --> 00:28:11,440
Speaker 1: actions of like a ten year old kid. You're just like, well,

513
00:28:11,480 --> 00:28:13,400
Speaker 1: he kind of guess this way sometimes. So I understand

514
00:28:13,440 --> 00:28:15,720
Speaker 1: why that would be the reaction, but I personally cannot

515
00:28:15,720 --> 00:28:20,080
Speaker 1: account for So this is again, I mean, that's that's

516
00:28:20,080 --> 00:28:23,040
Speaker 1: an interesting split from the Pentagon and the administration and

517
00:28:23,119 --> 00:28:26,080
Speaker 1: a lot of people. I thought, well, is it possible

518
00:28:26,200 --> 00:28:31,040
Speaker 1: that the president saw intelligence that our own defense secretary didn't,

519
00:28:31,160 --> 00:28:34,560
Speaker 1: And most experts that I've seen and read who have

520
00:28:34,600 --> 00:28:37,680
Speaker 1: written about it have said there's absolutely no way, if anything,

521
00:28:38,040 --> 00:28:40,880
Speaker 1: the Pentagon would have seen things like more than Trump

522
00:28:40,920 --> 00:28:44,040
Speaker 1: has and then they'd pass that information along. So again,

523
00:28:44,560 --> 00:28:48,360
Speaker 1: this is the recklessness, um, and just a reminder of

524
00:28:48,400 --> 00:28:52,760
Speaker 1: like the the shitty, like the truly global, like full

525
00:28:52,800 --> 00:28:56,880
Speaker 1: scale global armed conflict levels of mistakes this president can make.

526
00:28:57,120 --> 00:29:00,000
Speaker 1: This is where we're teetering on at the moment um.

527
00:29:00,080 --> 00:29:02,360
Speaker 1: But don't worry, because I just want to also share

528
00:29:02,400 --> 00:29:04,840
Speaker 1: this interesting clip just to show you how Trump even

529
00:29:04,880 --> 00:29:08,200
Speaker 1: looks at how our military operates and why we send

530
00:29:08,240 --> 00:29:10,680
Speaker 1: troops and deploy them in certain places. He had an

531
00:29:10,680 --> 00:29:17,680
Speaker 1: interview with Laura ingram Um fine fine turd and basically

532
00:29:17,720 --> 00:29:21,680
Speaker 1: like informed her that the army and our armed forces

533
00:29:21,680 --> 00:29:25,360
Speaker 1: are basically now like like security for hire. Um. And

534
00:29:25,400 --> 00:29:26,840
Speaker 1: he was just talking about how like, oh yeah, like

535
00:29:26,840 --> 00:29:28,920
Speaker 1: the Saudis, the Koreans, they've all they've all put money

536
00:29:28,960 --> 00:29:31,440
Speaker 1: in our pockets. We're sending more to Saudi Arabia, and

537
00:29:31,480 --> 00:29:34,200
Speaker 1: Saudi Arabia's paying us for it. You know, we're doing

538
00:29:34,280 --> 00:29:37,000
Speaker 1: something that nobody's ever done. I said to Saudi Arabi.

539
00:29:37,040 --> 00:29:39,520
Speaker 1: We have a very good relationship with Saudi Arabia said, listen,

540
00:29:39,520 --> 00:29:42,200
Speaker 1: you're a very rich country. You want more troops, I'm

541
00:29:42,240 --> 00:29:43,640
Speaker 1: going to send them to you, but you've got to

542
00:29:43,640 --> 00:29:47,560
Speaker 1: pay us. They're paying us. They've already deposited one billion

543
00:29:47,600 --> 00:29:51,240
Speaker 1: dollars in the bank. We are going to help them,

544
00:29:51,800 --> 00:29:54,240
Speaker 1: but these rich countries have to pay for it. South

545
00:29:54,320 --> 00:29:57,440
Speaker 1: Korea gave us five hundred million dollars, gave us in

546
00:29:57,840 --> 00:30:02,080
Speaker 1: they gave us five hundred billion dollars. I said, you've

547
00:30:02,080 --> 00:30:06,400
Speaker 1: got to help us along. We have soldiers in South

548
00:30:06,480 --> 00:30:10,400
Speaker 1: Korea protecting you from North Korea. You've got to pay.

549
00:30:10,480 --> 00:30:15,360
Speaker 1: And they gave us five million dollars. What the so

550
00:30:15,520 --> 00:30:17,600
Speaker 1: right now, it's like, my man, like, what if we

551
00:30:17,680 --> 00:30:20,560
Speaker 1: just left, like you would get overran? Dude, maybe you

552
00:30:20,560 --> 00:30:23,320
Speaker 1: need to give us some money for that. Also, like,

553
00:30:23,400 --> 00:30:26,200
Speaker 1: just are are we running like our mercenary operation now?

554
00:30:26,280 --> 00:30:30,880
Speaker 1: I mean we kind of but it being like, okay,

555
00:30:30,920 --> 00:30:33,000
Speaker 1: you put your billion dollar down payment on and then

556
00:30:33,040 --> 00:30:35,680
Speaker 1: we will put American lives at risk based on whatever

557
00:30:35,720 --> 00:30:38,400
Speaker 1: you need them for. There's I mean, it's it's so

558
00:30:39,080 --> 00:30:42,000
Speaker 1: bald faced at this point to where yeah, he's describing

559
00:30:42,040 --> 00:30:45,880
Speaker 1: a business transaction that involves human lives, but in some

560
00:30:45,960 --> 00:30:49,200
Speaker 1: Mobsters Ship basically. Yeah, it's it's like how you would

561
00:30:49,240 --> 00:30:51,520
Speaker 1: picture like a back room deal to sound, but it's

562
00:30:51,560 --> 00:30:54,440
Speaker 1: just being like spoken in public. It shows you how

563
00:30:54,480 --> 00:30:57,960
Speaker 1: comfortable he gets with Fox, like where he can just

564
00:30:57,960 --> 00:31:02,000
Speaker 1: just out loud articulate the transgressions that he's committing, but

565
00:31:02,040 --> 00:31:03,960
Speaker 1: in a way where he knows like they're not going

566
00:31:04,000 --> 00:31:06,760
Speaker 1: to question that one's going to push back on and like, oh,

567
00:31:06,800 --> 00:31:09,720
Speaker 1: thank you so much, thank you for honoring us. That's

568
00:31:09,760 --> 00:31:11,400
Speaker 1: the crazy part of someone like him, where it's like

569
00:31:11,400 --> 00:31:13,959
Speaker 1: he's just done so much horrific stuff that there's like

570
00:31:14,360 --> 00:31:16,480
Speaker 1: you're allowed once you've done all that you're allowed to

571
00:31:16,880 --> 00:31:21,400
Speaker 1: it's like you you you build the base of crazy

572
00:31:21,480 --> 00:31:23,280
Speaker 1: over and over and over and bad and evil, and

573
00:31:23,280 --> 00:31:25,239
Speaker 1: then now it's like, oh that's just now. We just

574
00:31:25,320 --> 00:31:26,960
Speaker 1: assume that's what he is, so if he does anything

575
00:31:26,960 --> 00:31:29,800
Speaker 1: outside of that, it would almost shock us. Yeah. Yeah,

576
00:31:29,800 --> 00:31:32,760
Speaker 1: that's why I've keep telling ourselves this is not normal

577
00:31:32,880 --> 00:31:35,520
Speaker 1: and it's horrifying, and all we can do is pray

578
00:31:35,600 --> 00:31:39,320
Speaker 1: for a good outcome in November to try and write

579
00:31:39,320 --> 00:31:42,640
Speaker 1: the ship because it's this is to me, this is

580
00:31:42,640 --> 00:31:45,200
Speaker 1: like really the really frightening part because now we're talking

581
00:31:45,240 --> 00:31:48,800
Speaker 1: about like just launching attacks willy nilly without any consideration.

582
00:31:48,840 --> 00:31:53,240
Speaker 1: You're seeing the fallout from that, which was the jetliner

583
00:31:53,360 --> 00:31:56,920
Speaker 1: from the Ukrainian airliner getting shot down and the just

584
00:31:57,040 --> 00:32:00,480
Speaker 1: unnecessary loss of life from ye And then do you

585
00:32:00,520 --> 00:32:03,080
Speaker 1: remember then he tweeted literally like all as well while

586
00:32:03,120 --> 00:32:07,000
Speaker 1: it was happening, all a's well, it's like to tweet

587
00:32:07,120 --> 00:32:10,880
Speaker 1: all is well after like, well, just because yeah, there

588
00:32:10,960 --> 00:32:13,120
Speaker 1: was the missile strikes that came out of Iran into

589
00:32:13,160 --> 00:32:15,840
Speaker 1: Iraq where that no lives were lost, not to mention,

590
00:32:15,840 --> 00:32:18,120
Speaker 1: but you know how terrifying that would be if you're like, Hi,

591
00:32:18,240 --> 00:32:20,640
Speaker 1: we have to get into a shelter now, because like

592
00:32:20,680 --> 00:32:23,160
Speaker 1: when you look at what happened to those buildings, if

593
00:32:23,160 --> 00:32:25,600
Speaker 1: people were there, it would have been Yeah, and it's

594
00:32:25,640 --> 00:32:29,120
Speaker 1: like a complete lack of care for any like Iranian

595
00:32:29,160 --> 00:32:33,440
Speaker 1: lives and just it's just all it's bad. Um, So

596
00:32:33,840 --> 00:32:37,360
Speaker 1: let's talk a little bit about November because that's sort

597
00:32:37,400 --> 00:32:41,400
Speaker 1: of the only uh remedy we have at the moment. Well,

598
00:32:41,400 --> 00:32:44,280
Speaker 1: considering yeah, McConnell is basically gonna sounds like at this

599
00:32:44,360 --> 00:32:47,080
Speaker 1: point it's going to be a sham trial. M I'm

600
00:32:47,080 --> 00:32:49,840
Speaker 1: not seeing much movement with him saying that they're going

601
00:32:49,880 --> 00:32:52,959
Speaker 1: to have witnesses suddenly. But that's still developing. But I

602
00:32:53,040 --> 00:32:56,479
Speaker 1: don't have much hope in that. But Bernie Sanders has

603
00:32:56,600 --> 00:33:00,640
Speaker 1: really been surging in the last few weeks. I mean

604
00:33:00,760 --> 00:33:03,760
Speaker 1: he's now gotten endorsements from like the Sunrise Movement and

605
00:33:03,880 --> 00:33:08,360
Speaker 1: Dream Defenders and really sort of solidifying the like support

606
00:33:08,400 --> 00:33:11,240
Speaker 1: from the progressive wing, the left wing of the party

607
00:33:11,360 --> 00:33:16,960
Speaker 1: and celebs ariana grande feel like that was a fun one.

608
00:33:17,080 --> 00:33:20,440
Speaker 1: That was a fun one which one Emily Rodikowski endorsed

609
00:33:21,120 --> 00:33:27,760
Speaker 1: Bernie in what way? It was just like, I don't know, no,

610
00:33:27,960 --> 00:33:31,200
Speaker 1: I think Bernie is a good movement though I think

611
00:33:31,200 --> 00:33:34,200
Speaker 1: that idea. Were you talking about that? Well, I was like,

612
00:33:34,320 --> 00:33:36,040
Speaker 1: let's get some pasties and figure out what we can

613
00:33:36,040 --> 00:33:39,160
Speaker 1: do right, right, right? But yeah, Emily Rodikowski are in

614
00:33:39,200 --> 00:33:45,200
Speaker 1: a grande Cardi b Lizza, every Everyone's I mean, yes, please,

615
00:33:45,400 --> 00:33:48,080
Speaker 1: the more people you can make away fantastic of what

616
00:33:48,400 --> 00:33:50,120
Speaker 1: needs to be done and people need to turn out

617
00:33:50,160 --> 00:33:52,120
Speaker 1: in November. And it's great that the endorsements are coming now.

618
00:33:52,120 --> 00:33:53,800
Speaker 1: I feel like some of the celebrity endorsements come like

619
00:33:53,840 --> 00:33:57,040
Speaker 1: closer to the election and then it's yeah, there's enough

620
00:33:57,040 --> 00:33:59,360
Speaker 1: time still to you, I think, because it's really important

621
00:33:59,360 --> 00:34:03,320
Speaker 1: that like we right and have a nominee selected as

622
00:34:03,360 --> 00:34:06,480
Speaker 1: early as possible so to get that machine fully running

623
00:34:06,600 --> 00:34:10,520
Speaker 1: versus the knife party that looks like is up brewing slightly.

624
00:34:10,560 --> 00:34:13,760
Speaker 1: Because we're three weeks away from Iowa. You know, Bernie

625
00:34:13,840 --> 00:34:16,520
Speaker 1: and Elizabeth Warren are basically in a statistical tie when

626
00:34:16,560 --> 00:34:20,799
Speaker 1: you take in the margin of error. Um. And I'm

627
00:34:20,840 --> 00:34:22,600
Speaker 1: I'm glad to see that those are the two people

628
00:34:22,719 --> 00:34:25,480
Speaker 1: that are the front runners and not Biden and Buddha. Cha, Like,

629
00:34:25,600 --> 00:34:27,960
Speaker 1: we actually have people who, you know, to varying degrees,

630
00:34:28,000 --> 00:34:32,600
Speaker 1: have the same commitment to helping working people. Um. And

631
00:34:33,080 --> 00:34:36,920
Speaker 1: now you know, a lot of people thought Elizabeth Warren

632
00:34:37,000 --> 00:34:38,440
Speaker 1: was going to be the recipient of a lot of

633
00:34:38,440 --> 00:34:40,719
Speaker 1: these endorsements too, because towards the end of last year,

634
00:34:40,760 --> 00:34:42,799
Speaker 1: she was she was she looked like the one who

635
00:34:42,800 --> 00:34:46,840
Speaker 1: was gonna overtake Bernie, overtake Biden and be the nominee. Uh.

636
00:34:46,920 --> 00:34:49,759
Speaker 1: And now things are very unpredictable. But now we're starting

637
00:34:49,760 --> 00:34:52,040
Speaker 1: to see a little bit of I don't know, not

638
00:34:52,040 --> 00:34:57,040
Speaker 1: not shade because this isn't like really very malignant or

639
00:34:57,160 --> 00:34:59,840
Speaker 1: malicious in terms of what she's trying to say. But

640
00:35:00,000 --> 00:35:03,560
Speaker 1: because there was elaked script from canvassers that came out

641
00:35:04,040 --> 00:35:07,240
Speaker 1: for from the Bernie Sanders campaign, she's sort of described

642
00:35:07,280 --> 00:35:09,640
Speaker 1: it as being trashed, like that she would tell that

643
00:35:09,840 --> 00:35:12,040
Speaker 1: Bernie would she was hurt that Bernie would have his

644
00:35:12,120 --> 00:35:15,400
Speaker 1: volunteers trash her. But the script basically said that if

645
00:35:15,440 --> 00:35:17,920
Speaker 1: they were voting for Warren, or were if they were

646
00:35:17,960 --> 00:35:21,040
Speaker 1: interacting with the Warren supporter, that it was something like, oh,

647
00:35:21,120 --> 00:35:23,560
Speaker 1: that's great, she would be my second pick. I like her,

648
00:35:23,719 --> 00:35:26,640
Speaker 1: but um, do you know that her her base of

649
00:35:26,680 --> 00:35:30,360
Speaker 1: support is very homogeneous. It's like very much college educated,

650
00:35:30,440 --> 00:35:33,400
Speaker 1: high income people, and she's not necessarily adding to the

651
00:35:33,400 --> 00:35:35,440
Speaker 1: base of support, which is something that will be necessary

652
00:35:35,480 --> 00:35:37,719
Speaker 1: going in November. That was sort of the gist of it,

653
00:35:37,840 --> 00:35:40,399
Speaker 1: and that was the trashing line. Well, that's the things

654
00:35:40,480 --> 00:35:44,200
Speaker 1: I've seen that script before, and it's it feels like,

655
00:35:44,520 --> 00:35:47,520
Speaker 1: I don't know, I mean, it's like Bernie Sanders and

656
00:35:47,520 --> 00:35:49,520
Speaker 1: Elizabeth Warren, for it seems like a very long time,

657
00:35:49,560 --> 00:35:52,359
Speaker 1: I've had basically an agreement that it's like we're not

658
00:35:52,440 --> 00:35:55,000
Speaker 1: going to like politics, like trash each other in the

659
00:35:55,000 --> 00:35:58,920
Speaker 1: way the politics normally would but I don't know. I mean,

660
00:35:58,920 --> 00:36:03,440
Speaker 1: it's like that didn't feel like like it is factual information.

661
00:36:03,680 --> 00:36:06,879
Speaker 1: Like it's not like this sort of like tear down

662
00:36:06,920 --> 00:36:12,560
Speaker 1: TV ads of like Elizabeth Warren toxic kind of. I

663
00:36:12,600 --> 00:36:14,360
Speaker 1: almost see it as a positive, like to be like,

664
00:36:14,400 --> 00:36:16,680
Speaker 1: oh yeah, I I respect that choice, that would be

665
00:36:16,719 --> 00:36:18,439
Speaker 1: my second choice. It's not like it's saying like, oh,

666
00:36:18,520 --> 00:36:21,640
Speaker 1: we would never even that feels like trash to me.

667
00:36:21,760 --> 00:36:23,680
Speaker 1: Is when it's like, oh god, it's like no, that

668
00:36:23,840 --> 00:36:25,400
Speaker 1: she would be my second choice. It's like, you know,

669
00:36:25,600 --> 00:36:28,799
Speaker 1: I think any differentiation between the two candidates is going

670
00:36:28,880 --> 00:36:32,279
Speaker 1: to be taken as an attack or whatever. And I'm

671
00:36:32,320 --> 00:36:35,280
Speaker 1: sure there'll be plenty from both sides at a certain

672
00:36:35,320 --> 00:36:38,480
Speaker 1: point doing that. But you know, when Bernie was asked

673
00:36:38,520 --> 00:36:40,480
Speaker 1: about it, he was just sort of like, I'm friends

674
00:36:40,520 --> 00:36:43,000
Speaker 1: with her, and have you ever He's like, we have

675
00:36:43,200 --> 00:36:46,200
Speaker 1: a huge we have a large national campaign, just a

676
00:36:46,239 --> 00:36:50,000
Speaker 1: gigantic machine running. I don't know if that person if

677
00:36:50,000 --> 00:36:52,320
Speaker 1: I have people in field offices who are sending canvassers

678
00:36:52,320 --> 00:36:54,520
Speaker 1: out with that script. He's like, that's personally not that's

679
00:36:54,560 --> 00:36:56,920
Speaker 1: definitely not in my direction. Um, and he's like and

680
00:36:57,000 --> 00:36:59,319
Speaker 1: I've never said a negative thing about her, like with

681
00:36:59,440 --> 00:37:02,200
Speaker 1: my own word. It's in a public statement. So he's like,

682
00:37:02,200 --> 00:37:04,560
Speaker 1: why are we doing this? I could never be able

683
00:37:04,640 --> 00:37:07,160
Speaker 1: to I can, can you. I would be the worst

684
00:37:07,320 --> 00:37:09,920
Speaker 1: anytime anyone because I would. I would be like that.

685
00:37:10,040 --> 00:37:12,879
Speaker 1: I would any time anyone said anything like oh they

686
00:37:12,920 --> 00:37:17,279
Speaker 1: trashed me. Yeah. Like that's a very assentiative person who

687
00:37:17,280 --> 00:37:23,280
Speaker 1: could never be in politics. I like what I'm done

688
00:37:23,360 --> 00:37:26,480
Speaker 1: for the n every other day, like, oh my god,

689
00:37:28,560 --> 00:37:32,799
Speaker 1: And I don't get what. I don't even think that.

690
00:37:33,800 --> 00:37:40,240
Speaker 1: I'm so sorry, but I don't know there it seems

691
00:37:40,680 --> 00:37:43,000
Speaker 1: to me like that was that was a bummer to happen.

692
00:37:43,080 --> 00:37:48,040
Speaker 1: And um, this week, there's already been this story that's

693
00:37:48,040 --> 00:37:50,240
Speaker 1: come out of CNN that people on Twitter are freaking

694
00:37:50,239 --> 00:37:55,120
Speaker 1: out about. The headline is Bernie Sanders told Elizabeth Warren

695
00:37:55,120 --> 00:37:58,960
Speaker 1: in private meeting that a woman can't win. Sources say

696
00:37:59,160 --> 00:38:02,480
Speaker 1: whom story these sources we do not know. So I mean,

697
00:38:03,960 --> 00:38:07,520
Speaker 1: I it doesn't seem that seems very out of character

698
00:38:07,920 --> 00:38:11,360
Speaker 1: or out of context for to be reported by CNN.

699
00:38:11,400 --> 00:38:15,200
Speaker 1: But I think that, like because Bernie and Warren have

700
00:38:15,320 --> 00:38:19,359
Speaker 1: sort of been generally like not wanting to trash each other.

701
00:38:19,680 --> 00:38:22,640
Speaker 1: Now there's just like media narratives coming out that's like

702
00:38:22,719 --> 00:38:24,920
Speaker 1: just trying to put them against the other anyways. But

703
00:38:25,000 --> 00:38:28,359
Speaker 1: that's just because like you know, like people who are

704
00:38:28,640 --> 00:38:32,000
Speaker 1: would would prefer for the Buddha judges and bidens of

705
00:38:32,040 --> 00:38:34,360
Speaker 1: the world to be in power, have vested interest in

706
00:38:34,360 --> 00:38:37,680
Speaker 1: turning these two progressives against each other. And yeah, those

707
00:38:37,680 --> 00:38:42,000
Speaker 1: people are shooting themselves like they're like, um, Bernie Haye

708
00:38:42,080 --> 00:38:45,840
Speaker 1: women like there, it's it's there. There's a really good

709
00:38:46,320 --> 00:38:50,600
Speaker 1: um Twitter thread that came out over the weekend from

710
00:38:50,800 --> 00:38:55,320
Speaker 1: Patti Harrison, who is the best um. But she's basically

711
00:38:55,360 --> 00:38:58,759
Speaker 1: just talking about like her like her background of like

712
00:38:58,800 --> 00:39:02,000
Speaker 1: growing up in a conservative Emily and just having the

713
00:39:02,040 --> 00:39:06,360
Speaker 1: ability to be patient and talk to just literally different

714
00:39:06,480 --> 00:39:10,560
Speaker 1: progressive people with different opinions and instead of like the

715
00:39:10,600 --> 00:39:13,120
Speaker 1: worst possible thing that can happen is for people who

716
00:39:13,120 --> 00:39:15,000
Speaker 1: are really passionate about Bernie and people who are really

717
00:39:15,000 --> 00:39:18,520
Speaker 1: passionate about Elizabeth Warren to like eat each other and

718
00:39:18,760 --> 00:39:21,480
Speaker 1: like we've seen this before to like, I mean, there

719
00:39:21,520 --> 00:39:25,759
Speaker 1: were definitely bigger political differences between Hillary Clinton and Bernie Sanders,

720
00:39:25,960 --> 00:39:28,400
Speaker 1: so it just makes it all the more frustrating to watch,

721
00:39:28,480 --> 00:39:32,840
Speaker 1: like we're all basically the same here, and there are

722
00:39:32,880 --> 00:39:35,160
Speaker 1: like minutia things where it's like, there are things I

723
00:39:35,160 --> 00:39:37,680
Speaker 1: don't agree with about certain but it's like not enough

724
00:39:37,719 --> 00:39:41,440
Speaker 1: to like attack someone who feels that way. That's just

725
00:39:41,520 --> 00:39:44,160
Speaker 1: like the most counterproductive letting the right and if we

726
00:39:44,280 --> 00:39:46,560
Speaker 1: do that, like we're letting like we're yeah, and the

727
00:39:46,640 --> 00:39:50,359
Speaker 1: candidates seem aware of that. So it's like everyone, you know,

728
00:39:50,560 --> 00:39:52,719
Speaker 1: I kind of like to think the voter base does too.

729
00:39:52,719 --> 00:39:54,120
Speaker 1: Like I feel like there's been a lot of Twitter,

730
00:39:54,200 --> 00:39:56,560
Speaker 1: at least on Twitter. It does feel like people are

731
00:39:56,600 --> 00:39:59,760
Speaker 1: like not turning on Bernie because they're not like, oh, Bernie,

732
00:40:00,040 --> 00:40:02,160
Speaker 1: everyone's you never know that. I mean, it's like it's

733
00:40:02,200 --> 00:40:04,960
Speaker 1: it's all those people who, yeah, might just take a

734
00:40:05,000 --> 00:40:08,319
Speaker 1: headline as truth and not really explore that and then

735
00:40:08,360 --> 00:40:10,600
Speaker 1: be like, Okay, but when you even think. I mean,

736
00:40:10,960 --> 00:40:14,320
Speaker 1: Bernie's campaign had a statement where they said it's ludicrous

737
00:40:14,360 --> 00:40:16,280
Speaker 1: to believe that. At the same meeting where Elizabeth Warren

738
00:40:16,320 --> 00:40:17,800
Speaker 1: told me she was going to run for president, I

739
00:40:17,800 --> 00:40:20,160
Speaker 1: would tell her that a woman couldn't win. It's sad

740
00:40:20,200 --> 00:40:22,239
Speaker 1: that three weeks before the Iowa Caucus in a year

741
00:40:22,360 --> 00:40:25,279
Speaker 1: after that private conversation, staff who weren't in the room

742
00:40:25,320 --> 00:40:27,400
Speaker 1: are lying about what happened. What I did say that

743
00:40:27,520 --> 00:40:30,120
Speaker 1: night was that Donald Trump is a sexist, a racist,

744
00:40:30,120 --> 00:40:32,520
Speaker 1: and a liar who would weaponize whatever he could do.

745
00:40:32,560 --> 00:40:35,440
Speaker 1: I believe a woman can we win. Of course, after all,

746
00:40:35,520 --> 00:40:39,719
Speaker 1: Hillary Clinton beat Donald Trump by three million, So I

747
00:40:39,719 --> 00:40:43,120
Speaker 1: don't know. Like again, I think it's interesting to see

748
00:40:43,440 --> 00:40:45,840
Speaker 1: we've already seen, like a few weeks ago, when it

749
00:40:45,920 --> 00:40:49,040
Speaker 1: was clear Bernie was starting to really bubble, people going like, well,

750
00:40:49,040 --> 00:40:51,840
Speaker 1: the medicare for all things gonna Trump's gonna win because

751
00:40:51,840 --> 00:40:54,359
Speaker 1: of that. So I think we're gonna see more and

752
00:40:54,400 --> 00:40:58,960
Speaker 1: more hits from the center, uh, trying to disrupt this

753
00:40:59,040 --> 00:41:02,920
Speaker 1: like surgeon progress us of And now that it seemed

754
00:41:02,960 --> 00:41:06,560
Speaker 1: like the media, the earthist tensible media strategy of like

755
00:41:06,680 --> 00:41:10,960
Speaker 1: leaving Bernie out of media coverage has failed, and people

756
00:41:10,960 --> 00:41:13,520
Speaker 1: have only become more passionate about it after realizing that.

757
00:41:13,719 --> 00:41:15,759
Speaker 1: Now it's like the strategy is changing, and like, okay,

758
00:41:15,800 --> 00:41:18,440
Speaker 1: well then if we have to talk about him, let's,

759
00:41:18,880 --> 00:41:21,719
Speaker 1: you know, find our angles. I just made a fart

760
00:41:21,719 --> 00:41:26,440
Speaker 1: noise in my mouth. You are sure with your mouth? Yea? Yeah? Uh?

761
00:41:26,560 --> 00:41:29,040
Speaker 1: And but There's also this other pull from the Des

762
00:41:29,040 --> 00:41:33,399
Speaker 1: Moines Register that was asking like what level of enthusiasm

763
00:41:33,440 --> 00:41:36,359
Speaker 1: everyone had for their candidate um and when it came

764
00:41:36,360 --> 00:41:40,040
Speaker 1: to like, you know, are you enthusiastic extreme enthusiasm which

765
00:41:40,080 --> 00:41:44,000
Speaker 1: was the most for Buddha Judge supporters and also Biden

766
00:41:44,040 --> 00:41:47,560
Speaker 1: supporters of their base that they have extreme enthusiasm war

767
00:41:47,640 --> 00:41:52,000
Speaker 1: and for Sanders it's so there's a lot of that's

768
00:41:52,000 --> 00:41:54,040
Speaker 1: what it feels. But and this is sort of what

769
00:41:54,360 --> 00:41:57,160
Speaker 1: I think, you know, for people trying to pit these

770
00:41:57,160 --> 00:42:00,000
Speaker 1: sides against each other, you do stir a little ship

771
00:42:00,080 --> 00:42:02,880
Speaker 1: because you know, campaigns do get a little you know,

772
00:42:02,960 --> 00:42:05,960
Speaker 1: people get they picked their sides totally, and I think

773
00:42:06,000 --> 00:42:09,320
Speaker 1: that's really an attempt to exploit those sort of not divisions,

774
00:42:09,320 --> 00:42:11,759
Speaker 1: but difference in who their who their candidate is, to

775
00:42:11,880 --> 00:42:14,080
Speaker 1: ultimately make it toxic enough that they'd be like, well,

776
00:42:14,080 --> 00:42:17,000
Speaker 1: if they get the nomination, you would never support them, right, right,

777
00:42:17,080 --> 00:42:20,040
Speaker 1: And it's like we see how that goes when people

778
00:42:20,120 --> 00:42:23,279
Speaker 1: make that decision. It's, yeah, just be patient with each other,

779
00:42:23,320 --> 00:42:25,960
Speaker 1: everybody unless you're like, unless you get friends who are

780
00:42:25,960 --> 00:42:31,160
Speaker 1: like Boodage and Biden are maybe get a little bit

781
00:42:31,200 --> 00:42:37,960
Speaker 1: like start, but it was Hotter Biden. M h. I mean,

782
00:42:38,040 --> 00:42:43,239
Speaker 1: I but like, aren't just just want to I was

783
00:42:43,280 --> 00:42:45,960
Speaker 1: thinking about people the other day, not because I wanted to,

784
00:42:46,320 --> 00:42:49,320
Speaker 1: but because Seth McFarland signed a two hundred million dollar

785
00:42:49,600 --> 00:42:52,680
Speaker 1: deal with NBC, So I was just thinking about them, like, well,

786
00:42:53,080 --> 00:42:54,920
Speaker 1: some of that money is going to go to Bootage

787
00:42:55,000 --> 00:43:01,479
Speaker 1: Edge and Triangle is my favorite thing. When he loves

788
00:43:01,520 --> 00:43:03,919
Speaker 1: him so much, I don't think you for the last

789
00:43:03,920 --> 00:43:06,040
Speaker 1: couple of times when Pete Buddha did just come up,

790
00:43:06,120 --> 00:43:11,600
Speaker 1: Seth McFarland doesn't also come up there. They're best friends

791
00:43:11,600 --> 00:43:15,040
Speaker 1: there in the wine cave. Ay, good, good running mate.

792
00:43:15,520 --> 00:43:19,680
Speaker 1: I mean, now we're talking, you're like the same man. Yeah, yeah,

793
00:43:19,800 --> 00:43:24,320
Speaker 1: now it's yeah. One thing I know that that Bernie

794
00:43:24,360 --> 00:43:26,160
Speaker 1: Sanders did say he said he wouldn't have another old

795
00:43:26,200 --> 00:43:28,720
Speaker 1: white man as his running mate, So you can count

796
00:43:28,760 --> 00:43:32,720
Speaker 1: on that. Good. Yeah. Just for for people who support

797
00:43:32,760 --> 00:43:36,080
Speaker 1: Bernie and support Warren, be patient and kind with each

798
00:43:36,120 --> 00:43:38,319
Speaker 1: other and like we're all in the same boat here,

799
00:43:38,360 --> 00:43:41,400
Speaker 1: like totally. Yeah. People, The bottom line is if you

800
00:43:41,440 --> 00:43:44,120
Speaker 1: support either, it's because you understand that there is a

801
00:43:44,200 --> 00:43:47,040
Speaker 1: failure of this government to support the working people and

802
00:43:47,239 --> 00:43:50,560
Speaker 1: just people who are not fantastically wealthy. And I think

803
00:43:50,600 --> 00:43:52,600
Speaker 1: that's the thing you have to keep your focus on,

804
00:43:53,280 --> 00:43:55,680
Speaker 1: because again, when you have things like these, all these

805
00:43:55,680 --> 00:43:59,680
Speaker 1: reports about like the Dow Jones was surging and twenty

806
00:43:59,760 --> 00:44:04,080
Speaker 1: two percent in unemployment is so low, it's like, who

807
00:44:04,120 --> 00:44:06,760
Speaker 1: gives a funk? Like, I don't know anybody who's like, oh,

808
00:44:06,760 --> 00:44:09,000
Speaker 1: thank god, the dows up. I'm like, I'm now my

809
00:44:09,080 --> 00:44:12,719
Speaker 1: child have braces. It's true. The people who care about

810
00:44:12,760 --> 00:44:16,640
Speaker 1: the Dow or they're not. They're not. They don't. Yeah,

811
00:44:16,640 --> 00:44:20,080
Speaker 1: no one I've ever met is like benefiting from that news. Yeah,

812
00:44:20,160 --> 00:44:21,760
Speaker 1: we don't ever get to a show and we're like, hey, Jamie,

813
00:44:21,760 --> 00:44:23,399
Speaker 1: great to see it. By the way, did you see

814
00:44:26,000 --> 00:44:34,279
Speaker 1: when I opened with the dow joke today? Let's just

815
00:44:34,320 --> 00:44:35,920
Speaker 1: check the down like you guys can see, can you

816
00:44:35,920 --> 00:44:40,840
Speaker 1: guys see then? And even like and then when you

817
00:44:40,880 --> 00:44:43,399
Speaker 1: look at it too, wages have only gone up two

818
00:44:43,400 --> 00:44:45,520
Speaker 1: point nine percent, even after all those tax cuts. When

819
00:44:45,680 --> 00:44:47,399
Speaker 1: t is like, oh, yeah, this is gonna be great

820
00:44:47,440 --> 00:44:50,760
Speaker 1: for employees, they're they're already firing people and shifting jobs

821
00:44:50,760 --> 00:44:53,560
Speaker 1: out of country. This is why, like we only have

822
00:44:53,600 --> 00:44:58,040
Speaker 1: one shoe factory left in Massachusetts, and it's and it's

823
00:44:58,080 --> 00:45:01,399
Speaker 1: for and it's for rich fun, it's you know what,

824
00:45:01,640 --> 00:45:03,400
Speaker 1: you know what. But this is again, this is what

825
00:45:03,440 --> 00:45:05,799
Speaker 1: I think people need to put into their mind's eye

826
00:45:05,800 --> 00:45:07,759
Speaker 1: because of all these things that I'm sure on the

827
00:45:07,840 --> 00:45:09,359
Speaker 1: right they're gonna be like, oh yeah, well what about

828
00:45:09,360 --> 00:45:11,439
Speaker 1: the doubt and about this? Like you can even tell them,

829
00:45:11,480 --> 00:45:14,799
Speaker 1: are you benefiting from have your wages gone up? Are

830
00:45:14,840 --> 00:45:16,759
Speaker 1: you are you in a place where you feel like

831
00:45:16,960 --> 00:45:21,839
Speaker 1: very financially uh stable and not like within you know,

832
00:45:22,239 --> 00:45:24,799
Speaker 1: three bad incidents is happening or maybe even one that

833
00:45:24,840 --> 00:45:27,680
Speaker 1: you could completely turn life upside down for you. And

834
00:45:27,719 --> 00:45:29,680
Speaker 1: I think that's the thing people, you know, let's keep

835
00:45:29,760 --> 00:45:32,360
Speaker 1: that in our in our mind's eye, all right, and

836
00:45:32,880 --> 00:45:35,839
Speaker 1: be good to each other. Hey yeah, yeah, and say

837
00:45:35,920 --> 00:45:37,480
Speaker 1: hi to somebody. I've been trying to do that more,

838
00:45:37,680 --> 00:45:39,759
Speaker 1: say hi. Yeah. Like when I walk by somebody in

839
00:45:39,800 --> 00:45:41,799
Speaker 1: the street, if I catch eyes with them, sometimes I'll

840
00:45:41,800 --> 00:45:45,200
Speaker 1: be like, people look away. Sometimes I love to say yeah.

841
00:45:45,200 --> 00:45:47,680
Speaker 1: I love to say hi. Do you I do yeah?

842
00:45:47,800 --> 00:45:49,880
Speaker 1: Like because I walk a lot and then I'm on

843
00:45:49,920 --> 00:45:52,360
Speaker 1: the button, like there's a lot of opportunity. What do

844
00:45:52,360 --> 00:45:55,120
Speaker 1: you do? How do you do hi? Well? I have

845
00:45:55,200 --> 00:45:57,600
Speaker 1: like a system where genuinely, like when I'm walking to

846
00:45:57,640 --> 00:46:00,160
Speaker 1: the bus stop near my house to come here, like you,

847
00:46:00,440 --> 00:46:02,120
Speaker 1: I'll do that thing where I'll like see if we

848
00:46:02,160 --> 00:46:03,920
Speaker 1: lock eyes the first time, I'll look down, then look

849
00:46:03,960 --> 00:46:07,040
Speaker 1: back up and be like, hey, it feels less threatening

850
00:46:07,040 --> 00:46:08,879
Speaker 1: that way. But I don't want to just like lock out,

851
00:46:10,160 --> 00:46:11,880
Speaker 1: so I'll be like get that. I was like, okay,

852
00:46:11,880 --> 00:46:23,360
Speaker 1: a consenting look like highing is a little jimmy. Yeah,

853
00:46:23,400 --> 00:46:25,520
Speaker 1: I like to open and close the loop. I don't.

854
00:46:25,560 --> 00:46:26,799
Speaker 1: I don't. You know what I mean. If I'm going

855
00:46:26,840 --> 00:46:29,000
Speaker 1: to do an interaction, I don't. I don't. Almost I

856
00:46:29,080 --> 00:46:32,080
Speaker 1: like to do a high good morning, keep going. Yeah,

857
00:46:32,120 --> 00:46:33,560
Speaker 1: I'm not looking for it, you know what I mean?

858
00:46:33,880 --> 00:46:38,359
Speaker 1: Morning just acknowledgment. Acknowledgement, Yeah, yes, that it helps, you know,

859
00:46:38,560 --> 00:46:42,080
Speaker 1: makes everybody feel acknowledged. Yeah, I feel especially l A.

860
00:46:42,080 --> 00:46:44,640
Speaker 1: Everyone has their head down. You're in your cars to

861
00:46:44,719 --> 00:46:47,520
Speaker 1: be seen, so you're telling me it's so nice to

862
00:46:47,560 --> 00:46:50,239
Speaker 1: be seen. And then when we were like yeah, when

863
00:46:50,280 --> 00:46:52,560
Speaker 1: we remember, we're all like we're all just we're all

864
00:46:52,560 --> 00:46:54,279
Speaker 1: in pain and we're all hurting. We're all on the

865
00:46:54,320 --> 00:46:56,720
Speaker 1: same plant, you know, We're all like we're all human

866
00:46:56,760 --> 00:46:58,839
Speaker 1: beings like I I do think, Yeah, there's something nice

867
00:46:58,840 --> 00:47:00,879
Speaker 1: about acknowledging people on this. You're like, oh, yeah, you're

868
00:47:00,920 --> 00:47:05,040
Speaker 1: like person versus like someone who I would just create

869
00:47:05,040 --> 00:47:07,520
Speaker 1: a backstory about. So as I walked by to ill

870
00:47:07,600 --> 00:47:10,640
Speaker 1: do that? Still do that after you say yo, wild man.

871
00:47:11,200 --> 00:47:13,480
Speaker 1: My mother though, the queen of giving people backstories who

872
00:47:13,520 --> 00:47:16,879
Speaker 1: she's never met. There they have like full on three

873
00:47:16,920 --> 00:47:21,319
Speaker 1: act arcs absolutely from I think I mentioned a while

874
00:47:21,320 --> 00:47:25,640
Speaker 1: ago from a person she thought, uh, someone was crying

875
00:47:25,719 --> 00:47:27,680
Speaker 1: like in front of her house on a curb, and

876
00:47:27,760 --> 00:47:30,160
Speaker 1: she thought that woman was really into the Twilight films,

877
00:47:31,520 --> 00:47:37,239
Speaker 1: saying leap, one giant leap for a mom kind all right,

878
00:47:37,280 --> 00:47:38,719
Speaker 1: we're gonna take a quick break and we'll be right

879
00:47:38,760 --> 00:47:52,279
Speaker 1: back and we're back and let's just really uh. I

880
00:47:52,360 --> 00:47:55,280
Speaker 1: just want to mention this rich cracker competition thing because

881
00:47:55,400 --> 00:47:58,319
Speaker 1: I like rich crackers. I never buy them when I

882
00:47:58,360 --> 00:48:01,200
Speaker 1: interact with them, and like, how much fucking grease are

883
00:48:01,239 --> 00:48:04,279
Speaker 1: in these things? And that's what I like about it.

884
00:48:04,719 --> 00:48:06,520
Speaker 1: Like if we compare it just a trisk it to

885
00:48:06,600 --> 00:48:08,840
Speaker 1: a ritz, I mean trisk it, you're you're gulping for

886
00:48:08,920 --> 00:48:13,279
Speaker 1: water you gotta drink, and a food in the thing

887
00:48:13,360 --> 00:48:15,919
Speaker 1: that thing is wet with with but oh yeah, you could,

888
00:48:15,920 --> 00:48:17,880
Speaker 1: like you can use it to like spy on people,

889
00:48:18,000 --> 00:48:19,560
Speaker 1: Like you could just put it on the wall and

890
00:48:19,600 --> 00:48:22,279
Speaker 1: it will render like a visible hole through it from

891
00:48:22,320 --> 00:48:25,040
Speaker 1: the grease, like in that Simpsons episode where home We're

892
00:48:25,040 --> 00:48:27,200
Speaker 1: trying to gain all that weight I had. I had

893
00:48:27,239 --> 00:48:30,480
Speaker 1: a coworker in Boston years ago that I ended up

894
00:48:30,480 --> 00:48:32,799
Speaker 1: making a series of maybe kind of mean cartoons about him.

895
00:48:33,000 --> 00:48:35,799
Speaker 1: But his whole his whole thing was his name is Nick.

896
00:48:36,000 --> 00:48:39,680
Speaker 1: We're friends, so okay, so, but what he his whole

897
00:48:40,000 --> 00:48:43,000
Speaker 1: approach to socializing with us was he would have us

898
00:48:43,080 --> 00:48:46,640
Speaker 1: rank things, and having us rank crackers was his favorite thing.

899
00:48:46,640 --> 00:48:48,560
Speaker 1: And he had like a kind of a funny voice,

900
00:48:48,560 --> 00:48:50,480
Speaker 1: and he so we would be like standing behind the

901
00:48:50,480 --> 00:48:53,399
Speaker 1: bar because we're going to a bar, and he would

902
00:48:53,440 --> 00:48:55,200
Speaker 1: just like we had nothing to say to each other,

903
00:48:55,239 --> 00:49:00,000
Speaker 1: and then he'd be like, hey, Jamie, like trisk it's rits,

904
00:49:00,600 --> 00:49:02,800
Speaker 1: what else is like Mary kiss kill? But with crackers

905
00:49:02,800 --> 00:49:07,520
Speaker 1: and salteens, rank them? And then I would just sit

906
00:49:07,560 --> 00:49:09,400
Speaker 1: there and then I'd rank them and then you know,

907
00:49:09,480 --> 00:49:12,040
Speaker 1: put triskets last because I'm and he'd like no love

908
00:49:12,120 --> 00:49:14,640
Speaker 1: for triskets and that was this whole thing and he'd

909
00:49:14,640 --> 00:49:17,960
Speaker 1: write it down. He actually has a whole spreadsheet of

910
00:49:18,040 --> 00:49:20,440
Speaker 1: data that he's the best. He had a whole blog

911
00:49:20,560 --> 00:49:24,960
Speaker 1: about reviewing turkey Turkey club sandwiches that he would get

912
00:49:25,080 --> 00:49:30,200
Speaker 1: from like subway Macy's, like he would get there. Used

913
00:49:30,239 --> 00:49:33,560
Speaker 1: to be somewhere in in the Boston metro area. Yeah,

914
00:49:33,640 --> 00:49:38,279
Speaker 1: like a cafe in the basements, very suburban longs. Like

915
00:49:38,320 --> 00:49:46,560
Speaker 1: the crispness on the Macy's turkey set. Yeah, yeah, it's

916
00:49:46,560 --> 00:49:50,920
Speaker 1: a little curvety. I love that. I relate to that.

917
00:49:51,040 --> 00:49:54,000
Speaker 1: Just a pure obsession with one thing and then dedicating

918
00:49:54,080 --> 00:49:55,600
Speaker 1: a lot of your life to it. I'm like, yeah,

919
00:49:55,640 --> 00:49:58,439
Speaker 1: I could see myself falling down that hole. The singularity

920
00:49:58,480 --> 00:50:01,399
Speaker 1: of that vision greasy crack or just something else. Okay,

921
00:50:01,520 --> 00:50:04,120
Speaker 1: there's a competition where because my mom did cook with

922
00:50:04,160 --> 00:50:07,799
Speaker 1: them a yeah, yeah, there is a ritz crushed crackers

923
00:50:07,920 --> 00:50:12,400
Speaker 1: recipe contest. Okay, and there's they have a culinary professional

924
00:50:12,440 --> 00:50:14,839
Speaker 1: category where it's like you're a legit chef, and they

925
00:50:14,840 --> 00:50:18,080
Speaker 1: also have one for culinary students. The grand prize winner

926
00:50:19,200 --> 00:50:22,600
Speaker 1: was the pork you pie. Uh it's okay, so it

927
00:50:22,719 --> 00:50:25,920
Speaker 1: comes from uh the chef and owner of a text

928
00:50:25,920 --> 00:50:30,640
Speaker 1: Mix restaurant in Chicago. Kim Dalton, Um, this recipe, Okay,

929
00:50:30,680 --> 00:50:33,800
Speaker 1: it's a savory and sweet pork and cheddar mock apple

930
00:50:33,840 --> 00:50:38,040
Speaker 1: pie with a risp and buttery ritz crumb topping. This

931
00:50:38,080 --> 00:50:40,320
Speaker 1: sweat like fancy food. It's like, who wants that? I

932
00:50:40,360 --> 00:50:43,200
Speaker 1: don't want an apple pie with pork in it? Yeah,

933
00:50:43,239 --> 00:50:45,799
Speaker 1: I mean, I guess mock apple pie. I'm curious if

934
00:50:45,800 --> 00:50:48,479
Speaker 1: it's there's I think it's maybe just a pork pie

935
00:50:48,560 --> 00:50:50,600
Speaker 1: with cheese and maybe hints about there. I don't know.

936
00:50:51,239 --> 00:50:53,560
Speaker 1: I don't know it one must have been good. Yeah,

937
00:50:53,600 --> 00:50:55,319
Speaker 1: I guess. I'm not gonna say you try it. Wow,

938
00:50:55,400 --> 00:51:00,440
Speaker 1: So tepid, tepid response. I mean, sometimes things that sound

939
00:51:00,560 --> 00:51:03,080
Speaker 1: gross actually tastes good, so I won't rule it out.

940
00:51:03,360 --> 00:51:06,560
Speaker 1: There's been worse things. That's what I'll say of this

941
00:51:06,600 --> 00:51:11,960
Speaker 1: winning recipe. There's okay, I guess chicken pop pie. I'm like,

942
00:51:12,000 --> 00:51:13,880
Speaker 1: already that's a little gross to me. So then when

943
00:51:13,880 --> 00:51:15,520
Speaker 1: you're like, oh, you're gonna take an even gross from

944
00:51:15,520 --> 00:51:17,359
Speaker 1: meat and slap it in there, I'm out the thing

945
00:51:17,440 --> 00:51:20,200
Speaker 1: that they Kim, but good for Kim. Well, this is

946
00:51:20,239 --> 00:51:23,640
Speaker 1: what Kim says. She says it's really good. She was inspired.

947
00:51:24,440 --> 00:51:27,359
Speaker 1: It was inspired by vintage recipe she saw on the

948
00:51:27,400 --> 00:51:30,080
Speaker 1: back of a rich Crackers box, like, so it's like

949
00:51:30,120 --> 00:51:31,680
Speaker 1: an old one. But she then sort of took some

950
00:51:31,719 --> 00:51:34,719
Speaker 1: creative lis so I'm sorry, let me go again. It's

951
00:51:34,719 --> 00:51:38,480
Speaker 1: really good. It's kind of a classic. Okay. I think

952
00:51:38,480 --> 00:51:41,720
Speaker 1: that should end the debate right there. I do feel

953
00:51:41,719 --> 00:51:44,520
Speaker 1: like if I describe that meal to my grandparents, they

954
00:51:44,640 --> 00:51:47,400
Speaker 1: lose their ship. You know, that does like as an

955
00:51:47,400 --> 00:51:50,759
Speaker 1: old timey recipe. I think that would hit. But what

956
00:51:51,000 --> 00:51:54,360
Speaker 1: she also says is the rich crackers are they're added

957
00:51:54,400 --> 00:51:57,520
Speaker 1: instead of apples. Okay, so that's what it is. So

958
00:51:57,600 --> 00:51:59,400
Speaker 1: it's not like an apple pie. So it's more of

959
00:51:59,440 --> 00:52:03,200
Speaker 1: a just in your mind, keep pork and cheddar rich

960
00:52:03,239 --> 00:52:09,239
Speaker 1: crackers right now now, and now we're talking now now, Kim,

961
00:52:09,239 --> 00:52:11,040
Speaker 1: we're coming. We're getting on a flight, okay. And in

962
00:52:11,160 --> 00:52:15,560
Speaker 1: the student culinary student category, the grand prize winner was

963
00:52:15,760 --> 00:52:19,600
Speaker 1: a meal fee. How do you say that? Yes, I

964
00:52:19,640 --> 00:52:21,279
Speaker 1: know how, I know what, I know what it is.

965
00:52:21,360 --> 00:52:25,600
Speaker 1: I remember the movie Carpool with Tom Arnold and there's

966
00:52:25,680 --> 00:52:28,000
Speaker 1: a moment where they spend three minutes there's like a

967
00:52:28,080 --> 00:52:32,440
Speaker 1: joke where they don't know how to say muf what

968
00:52:32,600 --> 00:52:35,320
Speaker 1: is franchise? Guess it's two words and there's a hyphen involved.

969
00:52:35,520 --> 00:52:39,240
Speaker 1: Doesn't it mean like a thousand layers or something. Yeah,

970
00:52:39,600 --> 00:52:42,160
Speaker 1: like that's what the meal m I l like millenniums

971
00:52:43,719 --> 00:52:46,680
Speaker 1: anyway instead of the puff pastry for this using rich

972
00:52:46,719 --> 00:52:48,840
Speaker 1: crackers to serve as the pastry, like, because it's like

973
00:52:48,840 --> 00:52:52,920
Speaker 1: a very layered pastry. Okay. Uh And was a student

974
00:52:53,000 --> 00:52:58,800
Speaker 1: of the in Stude of Culinary Education in pasad drive

975
00:52:58,840 --> 00:53:02,239
Speaker 1: over so and that just seems like it was a

976
00:53:02,239 --> 00:53:04,840
Speaker 1: pretty straightforward recipe. But hey, the students they're getting it

977
00:53:04,840 --> 00:53:07,400
Speaker 1: done to all right. I would I would have Fernando's

978
00:53:07,400 --> 00:53:10,359
Speaker 1: dish in a second, yes, I think him. Yes, because Kim,

979
00:53:10,360 --> 00:53:13,280
Speaker 1: it's almost like flashy, flashy, we got pork, we got apples,

980
00:53:13,280 --> 00:53:16,520
Speaker 1: it's pie. It's old, she says, she said, no, no, no,

981
00:53:16,560 --> 00:53:19,920
Speaker 1: this is just a classic with Ritz. I gotta go,

982
00:53:20,200 --> 00:53:25,800
Speaker 1: where's my Grandpa's Dalton? I'll guess Ritz nepotism. She married

983
00:53:25,840 --> 00:53:30,440
Speaker 1: into the rich. She's married in definitely Mr Ritz. Her

984
00:53:30,560 --> 00:53:38,000
Speaker 1: maiden name Nibiscoe. Okay, Kim Nibiscoe. Dude, Kim Nibiscoe villain

985
00:53:38,360 --> 00:53:41,879
Speaker 1: is a great name. I like one time, as a joke,

986
00:53:42,080 --> 00:53:44,040
Speaker 1: for like three months at a place I was working

987
00:53:44,400 --> 00:53:50,719
Speaker 1: as my emergency contact, I had the phone number for Nibiscoe. Yeah,

988
00:53:52,440 --> 00:53:57,960
Speaker 1: no one went like I guess also though, like Forbis,

989
00:53:58,200 --> 00:53:59,920
Speaker 1: they happened and they called a Nabiscoe and you just

990
00:54:00,000 --> 00:54:02,359
Speaker 1: like the cruelest prank on yourself and I just died.

991
00:54:02,480 --> 00:54:03,879
Speaker 1: It was a funny way to die. I don't think.

992
00:54:03,880 --> 00:54:09,960
Speaker 1: It's kind of I don't know, it's super tragic, but

993
00:54:09,960 --> 00:54:15,560
Speaker 1: it kind of hilarious. What is she allergic to? Okay,

994
00:54:15,680 --> 00:54:18,680
Speaker 1: let's let's roll up our sleeves talk about the Oscars

995
00:54:18,680 --> 00:54:24,640
Speaker 1: because the nominations were announced on Monday. Uh and wow, wow,

996
00:54:24,719 --> 00:54:30,320
Speaker 1: wow wow the joker eleven nominations. Okay, of a story

997
00:54:30,320 --> 00:54:32,799
Speaker 1: of a guy, a white guy who literally paints his

998
00:54:32,920 --> 00:54:36,680
Speaker 1: face even whiter. Has anyone actually, I haven't seen I

999
00:54:36,680 --> 00:54:38,520
Speaker 1: didn't have it in me to see it neither. I

1000
00:54:39,239 --> 00:54:41,560
Speaker 1: we haven't. I haven't seen it. I'm sure it's fine.

1001
00:54:42,040 --> 00:54:44,000
Speaker 1: I just don't. I don't know. Yeah, I don't think

1002
00:54:44,640 --> 00:54:47,279
Speaker 1: Phoenix is great. You know, he's very he's a very

1003
00:54:47,280 --> 00:54:50,680
Speaker 1: compelling actor. He transforms he fell in love with that

1004
00:54:50,920 --> 00:54:54,640
Speaker 1: Scarlett Johansson computer. He sucked his phone in that movie.

1005
00:54:54,680 --> 00:54:57,080
Speaker 1: In that movie, we liked that for some reason. Yeah,

1006
00:54:57,320 --> 00:54:59,120
Speaker 1: did he get nominated for that? Didn't he? I think

1007
00:54:59,120 --> 00:55:03,279
Speaker 1: he did get nominated for sucking his phone. Nominated this

1008
00:55:03,280 --> 00:55:06,200
Speaker 1: guy for all sorts of things. He's very talented. But

1009
00:55:06,200 --> 00:55:09,560
Speaker 1: but but at what, Like Joker was nominated for everything,

1010
00:55:09,960 --> 00:55:13,120
Speaker 1: and like no women and people of color were nominated

1011
00:55:13,239 --> 00:55:16,080
Speaker 1: except for a Bong Bong June, yes, which is director.

1012
00:55:16,520 --> 00:55:18,520
Speaker 1: That's it for a lot for a lot of stuff,

1013
00:55:18,520 --> 00:55:21,560
Speaker 1: which is great, but that, but yeah, everyone else where,

1014
00:55:22,160 --> 00:55:26,000
Speaker 1: Cindia Arrivo was nominated. And then the only I think

1015
00:55:26,000 --> 00:55:29,239
Speaker 1: that was only personal color nominated in any of the

1016
00:55:29,239 --> 00:55:32,720
Speaker 1: acting categories, I believe. Meanwhile, to add insult to injury,

1017
00:55:32,840 --> 00:55:38,520
Speaker 1: Scarlett Johansson's nominated twice twice. So yeah, really the fact

1018
00:55:38,520 --> 00:55:42,719
Speaker 1: that Aquafina literally won Golden Globe and wasn't it wasn't

1019
00:55:42,760 --> 00:55:46,240
Speaker 1: even nominated. So, um, you know, Oscar is so white?

1020
00:55:46,480 --> 00:55:52,719
Speaker 1: Remember that hashtag that was what five years ago? Maybe? Yeah? Um?

1021
00:55:52,840 --> 00:55:55,440
Speaker 1: And you know, and in response to that, the Academy

1022
00:55:55,520 --> 00:55:58,440
Speaker 1: was like, you know what, I didn't really even think

1023
00:55:58,480 --> 00:56:02,200
Speaker 1: about that one, and they said, you know, they were

1024
00:56:02,280 --> 00:56:06,040
Speaker 1: they had they were announced unprecedented changes to its membership

1025
00:56:06,080 --> 00:56:08,960
Speaker 1: and voting rules because they want to make the membership

1026
00:56:09,120 --> 00:56:13,200
Speaker 1: and like voting just more diverse. We're here, we are

1027
00:56:13,239 --> 00:56:15,960
Speaker 1: five years later, and we've yet to see of twenty

1028
00:56:16,000 --> 00:56:19,640
Speaker 1: acting nominations. Yeah, Cynthia Rivo is the only person of color.

1029
00:56:19,960 --> 00:56:22,360
Speaker 1: And there was like and and you always see like

1030
00:56:22,400 --> 00:56:25,360
Speaker 1: the horrible Twitter responses of like, well were the performances

1031
00:56:25,360 --> 00:56:27,560
Speaker 1: there and it's like there were some a really want

1032
00:56:27,560 --> 00:56:30,960
Speaker 1: a golden globe j Lo Jlo It was nominated. People

1033
00:56:31,000 --> 00:56:34,759
Speaker 1: loved her and hustlers, Lupida and us and even though

1034
00:56:34,800 --> 00:56:37,719
Speaker 1: it's like a genre flick, which typically but it's like, yo,

1035
00:56:37,800 --> 00:56:40,640
Speaker 1: she had that performed that. Daniel Cluia was nominated for

1036
00:56:40,640 --> 00:56:43,400
Speaker 1: Get Out like that. It's like you want to you

1037
00:56:43,440 --> 00:56:49,000
Speaker 1: want to nominate Scarlett? That to me is actually the

1038
00:56:49,040 --> 00:56:51,759
Speaker 1: real funk you that'll slap in the face. Yeah. Is

1039
00:56:51,800 --> 00:56:53,319
Speaker 1: it just like a room of people or is it?

1040
00:56:53,600 --> 00:56:56,440
Speaker 1: How do I don't even know how. It feels like

1041
00:56:56,560 --> 00:56:59,440
Speaker 1: it's got to be a contained right, let any insight

1042
00:56:59,520 --> 00:57:01,680
Speaker 1: into that. I'm and I know that the that um

1043
00:57:01,920 --> 00:57:04,400
Speaker 1: like people vote, there's an increased but it's still like

1044
00:57:04,440 --> 00:57:07,319
Speaker 1: I think that the percentage I was reading today was

1045
00:57:07,360 --> 00:57:09,880
Speaker 1: they were like, well, you know, there's twice the amount

1046
00:57:09,920 --> 00:57:11,640
Speaker 1: of people of color in the Academy there used to be,

1047
00:57:11,719 --> 00:57:15,440
Speaker 1: but it's still comes out to like and the Academy

1048
00:57:15,480 --> 00:57:18,560
Speaker 1: was bragging about like, well, like there's almost one third

1049
00:57:18,600 --> 00:57:22,120
Speaker 1: of female nominees in this year's and you're like, yeah,

1050
00:57:22,160 --> 00:57:25,640
Speaker 1: that's not that's not parody, you stupid ass, Like it's

1051
00:57:26,560 --> 00:57:28,800
Speaker 1: that I was most annoyed. I mean, I like Greta

1052
00:57:28,840 --> 00:57:31,200
Speaker 1: Girling a lot, and I think she deserved a nomination,

1053
00:57:31,200 --> 00:57:33,600
Speaker 1: but I wanted like Lulu Wang to get and like

1054
00:57:33,880 --> 00:57:37,520
Speaker 1: The Farewell is so good and just that movie, Like

1055
00:57:37,560 --> 00:57:39,160
Speaker 1: there was just a bunch of movies that were shut

1056
00:57:39,160 --> 00:57:43,360
Speaker 1: out entire yearly such a I thought The Sandman should

1057
00:57:43,360 --> 00:57:47,800
Speaker 1: have gotten women over the Break. What do you think

1058
00:57:48,360 --> 00:57:53,800
Speaker 1: that was great? Oh? Yeah, it's so good. The boy,

1059
00:57:53,840 --> 00:57:57,040
Speaker 1: the boy can flutter and dance like a person from

1060
00:57:57,080 --> 00:58:01,160
Speaker 1: the sharp sharp sharp looking. Yes, he could just cut

1061
00:58:01,200 --> 00:58:04,240
Speaker 1: you could just he's got a sharp wi his eyes

1062
00:58:04,320 --> 00:58:08,680
Speaker 1: with his chin chin angular. I thought he's dating Johnny

1063
00:58:08,680 --> 00:58:15,520
Speaker 1: Depp's daughter. Yeah's daughter famous, Yeah, she's famous. Now there's

1064
00:58:15,640 --> 00:58:18,240
Speaker 1: anyone's kid who's not famous, Like, did someone's kids just

1065
00:58:18,280 --> 00:58:20,320
Speaker 1: like work as a p A? No, there's no one.

1066
00:58:20,320 --> 00:58:22,680
Speaker 1: Actually I do know someone who famous whose kid works

1067
00:58:22,680 --> 00:58:27,080
Speaker 1: as a Really what they do? They just got the right,

1068
00:58:27,200 --> 00:58:30,240
Speaker 1: got a good head on their shoulders. Yeah, I just

1069
00:58:30,640 --> 00:58:33,440
Speaker 1: empotism is so funny to me, because like if you

1070
00:58:33,480 --> 00:58:35,800
Speaker 1: don't think it's funny, you cry. Yeah, and it's weird,

1071
00:58:35,880 --> 00:58:39,120
Speaker 1: like typically like in the Academy Awards period, films like

1072
00:58:39,720 --> 00:58:43,280
Speaker 1: Little Women would do well. True, yeah, and I don't understand,

1073
00:58:43,400 --> 00:58:46,200
Speaker 1: like and I remember seeing the one back in the day,

1074
00:58:46,240 --> 00:58:48,680
Speaker 1: wasn't a writer and like the last one that came

1075
00:58:48,680 --> 00:58:53,160
Speaker 1: out pretty good, which I got like way more into,

1076
00:58:54,040 --> 00:58:56,480
Speaker 1: like the Greta Girlwig one was very accessible. I feel

1077
00:58:56,520 --> 00:58:58,600
Speaker 1: like even for like younger people, like it was written

1078
00:58:58,600 --> 00:59:00,920
Speaker 1: in a way that did I'm like, I don't know

1079
00:59:00,960 --> 00:59:05,120
Speaker 1: any alcohol stuff, but anyway, this was Yeah, this was

1080
00:59:05,160 --> 00:59:07,400
Speaker 1: such a bummer, and like the Academy is like, well,

1081
00:59:07,440 --> 00:59:09,520
Speaker 1: we let more women and people of color and so

1082
00:59:09,680 --> 00:59:11,800
Speaker 1: it was. And it's like the persentagers are still so

1083
00:59:11,840 --> 00:59:15,480
Speaker 1: fucking low that it's like, yeah, they didn't even nominate

1084
00:59:15,560 --> 00:59:19,400
Speaker 1: Beyonce for the song. I mean, I don't know if

1085
00:59:19,400 --> 00:59:21,560
Speaker 1: the song was good. I didn't see anything about my king.

1086
00:59:22,120 --> 00:59:24,560
Speaker 1: The original songs are always bad, that's the point. But

1087
00:59:24,600 --> 00:59:27,880
Speaker 1: now it's Diane Warren and Randy Newman like every fucking year.

1088
00:59:28,040 --> 00:59:30,360
Speaker 1: That's another thing I'm mad about. Two is at Universal

1089
00:59:31,280 --> 00:59:40,080
Speaker 1: Matt mad about two Spectrum Originals. Um, but the originals

1090
00:59:40,320 --> 00:59:45,400
Speaker 1: and the things about You series on Spectrum Originals joke

1091
00:59:45,520 --> 00:59:47,760
Speaker 1: that came to haunt me in my real life. Okay,

1092
00:59:48,080 --> 00:59:50,840
Speaker 1: everyone's got everyone's got a streaming service now. And they

1093
00:59:50,880 --> 00:59:53,520
Speaker 1: also I lost all my bets. I did an uncut

1094
00:59:53,560 --> 00:59:57,200
Speaker 1: gem style bet on Cats sweeping the oscars, and they

1095
00:59:57,440 --> 01:00:00,919
Speaker 1: but Universal that they is kind of funny. They took

1096
01:00:00,960 --> 01:00:04,439
Speaker 1: everything from Cats out of consideration, so it's not even

1097
01:00:04,480 --> 01:00:06,760
Speaker 1: a snub. Wait wait, so it would have gotten an

1098
01:00:06,760 --> 01:00:08,920
Speaker 1: original song nominated, but I don't know why they did that.

1099
01:00:09,280 --> 01:00:12,800
Speaker 1: They were going to present it for consideration and then

1100
01:00:12,800 --> 01:00:14,880
Speaker 1: we're like, actually not not. Yeah, it was on there

1101
01:00:14,880 --> 01:00:17,280
Speaker 1: for a consideration website, and then after the first weekend

1102
01:00:17,280 --> 01:00:19,240
Speaker 1: of Cats and they made six dollars, they were like,

1103
01:00:19,440 --> 01:00:21,640
Speaker 1: never mind, and they just took everything. But it's like

1104
01:00:21,640 --> 01:00:24,160
Speaker 1: they had a Taylor Swift song that was like like

1105
01:00:24,200 --> 01:00:26,440
Speaker 1: a C minus that could have gotten an Oscar nomination.

1106
01:00:28,480 --> 01:00:31,600
Speaker 1: I mean probably good because if cats started getting nominations

1107
01:00:31,640 --> 01:00:33,680
Speaker 1: over some of these other films, it would have been

1108
01:00:33,760 --> 01:00:37,480
Speaker 1: a dark stage for those people in that in that film. Well,

1109
01:00:37,520 --> 01:00:39,640
Speaker 1: either way, the Elton John song is gonna win. But

1110
01:00:39,800 --> 01:00:43,280
Speaker 1: like it's just and then I thought, I don't know

1111
01:00:43,360 --> 01:00:46,479
Speaker 1: where they're like, Bombshell got a bunch, like not a bunch,

1112
01:00:46,560 --> 01:00:49,360
Speaker 1: but Bombshell got some nods, and you're just like, oh great,

1113
01:00:49,480 --> 01:00:51,800
Speaker 1: you know, right, white feminism the movie it was interesting

1114
01:00:51,840 --> 01:00:57,840
Speaker 1: by Austin Powers when oh, when I don't feel like

1115
01:00:57,840 --> 01:00:59,640
Speaker 1: it just came out, I'm like, I thought that, yeah

1116
01:00:59,680 --> 01:01:03,360
Speaker 1: it did. Yeah, its like came out yesterday, very minimal marketing. Yeah,

1117
01:01:03,520 --> 01:01:07,440
Speaker 1: because it's not very good. M hmm. Well. Um. One

1118
01:01:07,480 --> 01:01:09,440
Speaker 1: thing though that was great was when John show and

1119
01:01:09,840 --> 01:01:12,000
Speaker 1: again ad insult to injury. You have two people of

1120
01:01:12,000 --> 01:01:16,240
Speaker 1: color presenting the awards to okay, um when they announced

1121
01:01:16,240 --> 01:01:19,640
Speaker 1: like the director's nominees, uh summed it up as she said,

1122
01:01:19,840 --> 01:01:25,120
Speaker 1: and congratulations to those men like appropriate. I wish there

1123
01:01:25,200 --> 01:01:27,920
Speaker 1: was more that could have happened. I don't know, I mean,

1124
01:01:27,920 --> 01:01:30,000
Speaker 1: I don't know what it's gonna take at this point.

1125
01:01:30,080 --> 01:01:32,680
Speaker 1: I'm just like, well, parents, I had better win a

1126
01:01:32,720 --> 01:01:36,280
Speaker 1: big or what was the point of this year. Well,

1127
01:01:36,280 --> 01:01:38,960
Speaker 1: it's also weird when like films get you know, nominated

1128
01:01:39,000 --> 01:01:41,760
Speaker 1: for Best Picture and other things and then not Best Director.

1129
01:01:42,280 --> 01:01:45,920
Speaker 1: I'm like, you think there's a consistency about You'd imagine

1130
01:01:45,960 --> 01:01:48,560
Speaker 1: that if it's the best picture, then the director must

1131
01:01:48,600 --> 01:01:50,800
Speaker 1: get some credit, unless you're saying, like the film is

1132
01:01:50,840 --> 01:01:53,800
Speaker 1: good director or whatever. It was really all about the script.

1133
01:01:55,160 --> 01:01:57,560
Speaker 1: And like I don't always understand when people sort of

1134
01:01:57,600 --> 01:01:59,600
Speaker 1: get I feel like they're sort of hand in hand.

1135
01:01:59,600 --> 01:02:01,720
Speaker 1: But look, everyone has their own way of looking at

1136
01:02:01,760 --> 01:02:04,080
Speaker 1: this whole filmmaking thing. I don't. And it's like where

1137
01:02:04,120 --> 01:02:06,560
Speaker 1: the winners from the other awards shows leading up to

1138
01:02:06,560 --> 01:02:08,080
Speaker 1: this have kind of been all over the place, like

1139
01:02:08,120 --> 01:02:10,919
Speaker 1: the critics choice because which note gives a ship about?

1140
01:02:10,960 --> 01:02:12,360
Speaker 1: But whatever is the day I had a good outfit?

1141
01:02:12,960 --> 01:02:19,080
Speaker 1: Uh face, it was like a space played like plate Yeah,

1142
01:02:19,200 --> 01:02:21,040
Speaker 1: it's like hot pink. It was amazed. Did you ever

1143
01:02:21,080 --> 01:02:22,440
Speaker 1: have those dolls when you were younger where you got

1144
01:02:22,520 --> 01:02:24,760
Speaker 1: to put like the jelly sort of didn't It's like

1145
01:02:24,760 --> 01:02:27,120
Speaker 1: a real life jelly shirt dolls that were they I

1146
01:02:27,200 --> 01:02:29,360
Speaker 1: don't know, but they were. But it was just like that.

1147
01:02:29,400 --> 01:02:32,200
Speaker 1: It isn't amazing. What is that like a molded plates exactly?

1148
01:02:32,240 --> 01:02:34,520
Speaker 1: That's not like painted on, that's like a rigid that's

1149
01:02:34,600 --> 01:02:37,200
Speaker 1: like a like a star trek, Like okay, let me

1150
01:02:37,200 --> 01:02:41,920
Speaker 1: measure your exact breast size point. It must made it

1151
01:02:42,040 --> 01:02:44,800
Speaker 1: on her, because right, how do you make a paper

1152
01:02:44,840 --> 01:02:47,040
Speaker 1: machete cast and then do something like it was a

1153
01:02:47,040 --> 01:02:50,280
Speaker 1: great shout out to the Women's College scripts at their cafe.

1154
01:02:50,400 --> 01:02:53,120
Speaker 1: They my her majesty was a brista there and all

1155
01:02:53,120 --> 01:02:55,840
Speaker 1: the briests. They get breast molds that they put up

1156
01:02:55,840 --> 01:03:01,240
Speaker 1: in the in the cafe. That's the best part. But

1157
01:03:01,520 --> 01:03:04,919
Speaker 1: with the Chris choice last night or not two nights ago,

1158
01:03:05,520 --> 01:03:09,640
Speaker 1: wasn't it? Sam Mendez and Bang Juneho tied for best Directors,

1159
01:03:09,680 --> 01:03:10,920
Speaker 1: Like there were a bunch of times. So it's like

1160
01:03:10,960 --> 01:03:14,160
Speaker 1: there's a lot of different And you think of Parasite

1161
01:03:14,200 --> 01:03:16,960
Speaker 1: with how well that film is being critically claimed, like

1162
01:03:17,080 --> 01:03:20,200
Speaker 1: the none of the acting was good enough. The people

1163
01:03:20,240 --> 01:03:23,120
Speaker 1: were like pulling for a supporting actor for for the

1164
01:03:23,200 --> 01:03:25,960
Speaker 1: for the man who plays the dad in Parasite um

1165
01:03:26,040 --> 01:03:28,320
Speaker 1: and that didn't go through. Is that because of the

1166
01:03:28,320 --> 01:03:31,040
Speaker 1: foreign language, Like is there some crossover there like where

1167
01:03:31,080 --> 01:03:33,120
Speaker 1: it would have you have to think, but it but

1168
01:03:32,840 --> 01:03:36,360
Speaker 1: it made it in so many other huge categories and

1169
01:03:36,440 --> 01:03:38,800
Speaker 1: didn't get like pushed to like it was. It's nominated

1170
01:03:38,800 --> 01:03:42,200
Speaker 1: for a Best International Film. But it's true because Roma

1171
01:03:42,280 --> 01:03:47,360
Speaker 1: had the same thing too, where people are not I mean,

1172
01:03:47,360 --> 01:03:49,040
Speaker 1: I think that's also the thing where it's like we

1173
01:03:49,120 --> 01:03:52,320
Speaker 1: have the as time goes on and we see the

1174
01:03:52,400 --> 01:03:54,880
Speaker 1: lack of actual acknowledgment of a lot of these achievements,

1175
01:03:55,160 --> 01:03:56,760
Speaker 1: we at a certain point we have to like let

1176
01:03:56,760 --> 01:03:59,360
Speaker 1: these awards go to because it's like they're not actually

1177
01:03:59,560 --> 01:04:03,040
Speaker 1: a good indicator of like what the best performances were. Truly.

1178
01:04:03,480 --> 01:04:04,800
Speaker 1: That's where I guess, you know, we'll have to have

1179
01:04:04,840 --> 01:04:07,840
Speaker 1: a reckoning with our love of awards. I do I

1180
01:04:07,880 --> 01:04:10,400
Speaker 1: do like to get mad. Demia did I had a

1181
01:04:10,400 --> 01:04:12,840
Speaker 1: great toet about how how much she likes to get

1182
01:04:12,840 --> 01:04:14,640
Speaker 1: mad at like this, and I do like to get

1183
01:04:14,640 --> 01:04:16,480
Speaker 1: mad about it. But you know, I'm never going to

1184
01:04:16,520 --> 01:04:19,400
Speaker 1: watch The Irishman, so whatever. My first one the first

1185
01:04:19,440 --> 01:04:21,400
Speaker 1: time I got so pissed at the Academy Awards with

1186
01:04:21,440 --> 01:04:26,080
Speaker 1: Thin ninety nine when Saving Private Ryan Steven Spielberg got

1187
01:04:26,160 --> 01:04:28,560
Speaker 1: Best Director. But then Shakespeare in love was best picture.

1188
01:04:29,000 --> 01:04:30,760
Speaker 1: Oh right, and that was a wine that was like

1189
01:04:32,280 --> 01:04:35,440
Speaker 1: like Winstein, like little fourteen year old self who was

1190
01:04:35,480 --> 01:04:37,880
Speaker 1: like just hopped up on Warporn was just like Dutch

1191
01:04:38,240 --> 01:04:42,360
Speaker 1: fuck up. I hope that Laura dernwins and then she

1192
01:04:42,440 --> 01:04:45,960
Speaker 1: makes more fun baby Yoda jokes that would sustain me.

1193
01:04:46,080 --> 01:04:48,880
Speaker 1: She went on Colbert and was like, baby Yoda's my boyfriend.

1194
01:04:48,960 --> 01:04:53,200
Speaker 1: She's just upping the end. I mean for her very

1195
01:04:53,200 --> 01:04:56,280
Speaker 1: diverse dating background. She's I don't she's not with Baron

1196
01:04:56,360 --> 01:04:59,479
Speaker 1: Davis anymore. Right, No, she's single right now, but people

1197
01:05:00,040 --> 01:05:03,360
Speaker 1: will say that she's sucking the puppet. Okay, Well, more

1198
01:05:03,400 --> 01:05:05,920
Speaker 1: power to you, More power to you. A lista. Thank

1199
01:05:05,920 --> 01:05:08,800
Speaker 1: you so much for having by. It's been wonderful. What

1200
01:05:08,840 --> 01:05:11,880
Speaker 1: did joy so fun? Yeah? Um? Where can people find you?

1201
01:05:11,960 --> 01:05:16,520
Speaker 1: Follow you, support you, consume your content? You know? Yes,

1202
01:05:16,560 --> 01:05:20,520
Speaker 1: all of those things at Alyssa Limp on Instagram and Twitter,

1203
01:05:20,560 --> 01:05:24,560
Speaker 1: same thing. Come check it out. Amazing, amazing character work.

1204
01:05:24,600 --> 01:05:26,160
Speaker 1: Thank you so much. I appreciate that a lot. Thanks

1205
01:05:26,200 --> 01:05:28,360
Speaker 1: for having me. You're like one of those the few

1206
01:05:28,440 --> 01:05:31,000
Speaker 1: feess where I can be like no, go go followed

1207
01:05:32,520 --> 01:05:36,040
Speaker 1: like yeah, a woman has never never missed to the

1208
01:05:36,040 --> 01:05:38,480
Speaker 1: point where I thought I knew you. I don't know why.

1209
01:05:38,680 --> 01:05:40,800
Speaker 1: That's not like not even in a weird way where

1210
01:05:40,800 --> 01:05:42,560
Speaker 1: I'm like, oh, yeah, that's the homie. I was just

1211
01:05:42,600 --> 01:05:44,920
Speaker 1: sort of like, yeah, Lissa is coming by, and then

1212
01:05:44,960 --> 01:05:47,000
Speaker 1: I was like, wait, this is not this is the

1213
01:05:47,040 --> 01:05:50,680
Speaker 1: first time anyways. And is there a tweet that you like,

1214
01:05:50,680 --> 01:05:52,640
Speaker 1: you want to shout out a tweet anyone's tweets that

1215
01:05:52,680 --> 01:05:57,920
Speaker 1: you think is yes, hilarious, poignant, m my, where is it?

1216
01:05:58,040 --> 01:06:03,000
Speaker 1: Let me find it? My good friend May Welkerson so funny,

1217
01:06:03,280 --> 01:06:06,000
Speaker 1: also in the best, also a great follow at shut

1218
01:06:06,080 --> 01:06:08,480
Speaker 1: Up May, And she tweeted my dog and I both

1219
01:06:08,480 --> 01:06:10,800
Speaker 1: have anxiety. So whenever I'm pacing my apartment, she follows

1220
01:06:10,840 --> 01:06:13,360
Speaker 1: me around like we're marching in a mental illness pride parade.

1221
01:06:14,160 --> 01:06:15,800
Speaker 1: I love it. I love the image of the two

1222
01:06:15,840 --> 01:06:17,880
Speaker 1: of them. They're both so like tiny too, so just

1223
01:06:17,960 --> 01:06:20,680
Speaker 1: the two of them like scooting around the apartment pacing

1224
01:06:20,720 --> 01:06:25,520
Speaker 1: is very sweet. Yeah, Jamie, Yes, how about you. You

1225
01:06:25,520 --> 01:06:28,840
Speaker 1: can find me on Twitter at Jamie Laftus. Help. You

1226
01:06:28,840 --> 01:06:31,520
Speaker 1: can listen to my Year in Mensa is my fourth

1227
01:06:31,520 --> 01:06:34,600
Speaker 1: pride parcast about mensas coming out. Now, I got toward

1228
01:06:34,720 --> 01:06:36,720
Speaker 1: it's coming up in the next couple of weeks. In

1229
01:06:36,760 --> 01:06:39,400
Speaker 1: San Francisco. Uh, there's no more tickets to my show,

1230
01:06:39,440 --> 01:06:41,720
Speaker 1: but they're hard to the be Sel cast. In New York,

1231
01:06:41,720 --> 01:06:45,080
Speaker 1: tickets to the Bechel cast at the Bellhouse on and

1232
01:06:45,560 --> 01:06:48,320
Speaker 1: my solo shows almost sold out on February tenth. And

1233
01:06:48,440 --> 01:06:51,200
Speaker 1: in Philly, our Bechtel cash flows are sold up, but

1234
01:06:51,240 --> 01:06:53,080
Speaker 1: you can come see me do Boston this Girl on

1235
01:06:53,120 --> 01:06:56,240
Speaker 1: February eighth. I think that that's everything, and I want

1236
01:06:56,240 --> 01:06:58,080
Speaker 1: to shout out a tweet that I was just talking

1237
01:06:58,120 --> 01:07:02,040
Speaker 1: about from Demio di Duibe at electro Lemon. Uh. Complaining

1238
01:07:02,040 --> 01:07:04,640
Speaker 1: about the Oscar nominations is a grand tradition, as old

1239
01:07:04,640 --> 01:07:06,720
Speaker 1: and fun as watching the Oscars themselves. I love it.

1240
01:07:06,760 --> 01:07:08,840
Speaker 1: They absolutely funked it up. Can't wait to watch. I'm

1241
01:07:08,880 --> 01:07:13,600
Speaker 1: gonna be so fucking mad. You're fucking mad. Yeah, you

1242
01:07:13,600 --> 01:07:14,880
Speaker 1: know what I mean? And then need to you know,

1243
01:07:14,880 --> 01:07:19,880
Speaker 1: tweeted a clarification that he's serious. Hell yeah, um, let's

1244
01:07:19,880 --> 01:07:23,400
Speaker 1: see me. You can find me at Miles of Gray

1245
01:07:23,440 --> 01:07:26,000
Speaker 1: on Twitter and Instagram. Also check out my new podcast

1246
01:07:26,120 --> 01:07:28,920
Speaker 1: with Sophia Alexandra for Twenty Day Fiance, where we talk

1247
01:07:28,960 --> 01:07:32,640
Speaker 1: about fiance, but like, hi, so you know that's ship's wild.

1248
01:07:32,920 --> 01:07:35,600
Speaker 1: It's also like a game show too, so really tune

1249
01:07:35,640 --> 01:07:37,200
Speaker 1: into that if you like show, and even if you don't,

1250
01:07:37,560 --> 01:07:41,120
Speaker 1: chances are you're gonna like it. Um. Also, we should

1251
01:07:41,120 --> 01:07:43,560
Speaker 1: say some tour days because the Daily Zeitgeist. We will

1252
01:07:43,600 --> 01:07:48,040
Speaker 1: be live on January at the Gateway Theater in San

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01:07:48,080 --> 01:07:53,440
Speaker 1: Francisco with guests Demio Diguwee Bay, Michael swain On in

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01:07:53,480 --> 01:07:57,640
Speaker 1: Portland at Mississippi Studios. On February twelve, Brooklyn, New York

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01:07:57,680 --> 01:08:01,400
Speaker 1: at the Bellhouse. Also that gay will be Dan O'Brien.

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01:08:01,480 --> 01:08:04,520
Speaker 1: I think I can confirm that now Cracked and now

1257
01:08:04,680 --> 01:08:08,720
Speaker 1: of the John Oliver last week Tonight Writing Staff. Then

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01:08:08,760 --> 01:08:13,560
Speaker 1: the thirteenth of February, Washington, DC, Miracle Theater, February Minneapolis, Minnesota,

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01:08:13,600 --> 01:08:18,280
Speaker 1: the Parkway Theater, UH February Chicago, Illinois, Sleeping Village, and

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01:08:19,240 --> 01:08:25,240
Speaker 1: February Toronto, Ontario International now at the Great Hall. I'm

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01:08:25,240 --> 01:08:28,240
Speaker 1: looking forward to that, uh, just because the Great Hall.

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01:08:28,360 --> 01:08:31,800
Speaker 1: It can't be a disappointment. It must be fantastic. Uh.

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01:08:31,920 --> 01:08:33,839
Speaker 1: Now it's a tweet I like is from Danta Donnelly

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01:08:33,920 --> 01:08:37,040
Speaker 1: at Dana donn Lee. It says, and this is perfect

1265
01:08:37,080 --> 01:08:38,679
Speaker 1: because we were just talking about the office. It says.

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01:08:38,720 --> 01:08:40,559
Speaker 1: One time on a first date, a guy told me

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01:08:41,400 --> 01:08:43,960
Speaker 1: you might just be the Asian Pam to my white gym,

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01:08:45,040 --> 01:08:49,800
Speaker 1: Like like, okay, no, obviously, you're Michael Scott and I'm

1269
01:08:49,840 --> 01:08:55,640
Speaker 1: one of the waitresses from the Benni Hanna Christmas Episode's

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01:08:56,120 --> 01:08:58,720
Speaker 1: cool Off is one of those women in that episode too,

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01:08:59,120 --> 01:09:01,600
Speaker 1: but it's switches in the middle. If you notice the

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01:09:01,640 --> 01:09:04,920
Speaker 1: waitresses change, the actresses changed from the Benny Hannah to

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01:09:05,040 --> 01:09:07,479
Speaker 1: the actual dunder Mifflin office because there was some kind

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01:09:07,479 --> 01:09:09,800
Speaker 1: of thing with the actress who was playing one of

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01:09:09,840 --> 01:09:13,320
Speaker 1: those servers. I noticed, I don't see I want someone

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01:09:13,360 --> 01:09:18,080
Speaker 1: listens to office lady so much, goddamn office. I'm like,

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01:09:18,080 --> 01:09:19,680
Speaker 1: hold on, hold on, hold on, hold on. How did

1278
01:09:19,680 --> 01:09:22,439
Speaker 1: I not see that one of the Yeah, I felt

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01:09:22,479 --> 01:09:26,720
Speaker 1: like very achieved achieved something like um. Anyway. You can

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01:09:26,760 --> 01:09:29,920
Speaker 1: follow us at Daily Zeitgeist on Twitter, at the Daily

1281
01:09:30,000 --> 01:09:32,679
Speaker 1: zeit Geist on Instagram. We have a Facebook fan page.

1282
01:09:32,920 --> 01:09:35,559
Speaker 1: We also have a website. Come on, yeah, daily Zeitgeist

1283
01:09:35,600 --> 01:09:38,759
Speaker 1: dot com. Worry post our episodes and our foot notes. Also,

1284
01:09:39,000 --> 01:09:40,519
Speaker 1: you know, let's let me tell you something else. The

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01:09:40,560 --> 01:09:42,479
Speaker 1: Daily Guys. It's a production by Heart Radio. For more

1286
01:09:42,479 --> 01:09:44,719
Speaker 1: podcast in my Heart visit the Heart Radio app, Apple

1287
01:09:44,800 --> 01:09:49,439
Speaker 1: podcast or wherever you get them. Thanks. Um, and let's

1288
01:09:49,600 --> 01:09:51,519
Speaker 1: actually now we have to think about what we're going

1289
01:09:52,320 --> 01:09:54,439
Speaker 1: What are we going to? How do we end such

1290
01:09:54,479 --> 01:09:59,120
Speaker 1: a wonderful episode? Um? Oh, maybe is it a song? Yes?

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01:09:59,400 --> 01:10:02,240
Speaker 1: Can I and I pitched that? We try to can

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01:10:02,280 --> 01:10:04,759
Speaker 1: we try to find one of um, what's his name? Oh?

1293
01:10:04,800 --> 01:10:09,639
Speaker 1: What's his name? I forgot already? Chris Gaines? Oh wow.

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01:10:09,760 --> 01:10:12,720
Speaker 1: You know it's not often where something so organically is

1295
01:10:12,720 --> 01:10:15,400
Speaker 1: being determined in this room. This has been his first

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01:10:15,400 --> 01:10:20,240
Speaker 1: airplane years. I don't know if you can find Chris Gaines,

1297
01:10:20,400 --> 01:10:22,759
Speaker 1: like maybe he didn't even maybe it wasn't even released

1298
01:10:22,800 --> 01:10:25,840
Speaker 1: songs as he just well it's weird like on at

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01:10:25,920 --> 01:10:31,600
Speaker 1: least on Spotify. Scrub scrub it. Wow, Wow, what's going on,

1300
01:10:31,680 --> 01:10:36,519
Speaker 1: Big Garth? Oh no, exactly, there's one on there's one

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01:10:36,560 --> 01:10:43,400
Speaker 1: on YouTube, Chris Gaines. Here we go do it? Have it? Oh? Here,

1302
01:10:43,520 --> 01:10:46,200
Speaker 1: well that's what'll suck it Without even knowing what it is,

1303
01:10:46,360 --> 01:10:48,640
Speaker 1: we'll play. I can't believe we're even going out on

1304
01:10:48,720 --> 01:10:53,000
Speaker 1: Chris Gaines. But Chris gaines lost in you for a

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01:10:53,120 --> 01:10:55,920
Speaker 1: sliver of a moment. All right, we'll talk to you tomorrow. Actually,

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01:10:55,960 --> 01:10:57,599
Speaker 1: we'll talk to you later today also because we've got

1307
01:10:57,600 --> 01:11:00,320
Speaker 1: the night guys going anyway, see then by bye. Ever

1308
01:11:00,640 --> 01:11:08,639
Speaker 1: knows I'm yett o the hes and it show I've

1309
01:11:08,640 --> 01:11:15,840
Speaker 1: made every feel as suppose not the or them about

1310
01:11:15,920 --> 01:11:22,040
Speaker 1: you when you're around. Maybe I have found I get

1311
01:11:22,080 --> 01:11:33,680
Speaker 1: a long still you. What is this feel I've never

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01:11:33,960 --> 01:11:34,280
Speaker 1: known