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

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Speaker 1: two of Dirty leyshy Guys Stay, a production of iHeartRadio.

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Speaker 1: This is a podcast where we take a deep dive

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Speaker 1: into America's share consciousness. And it is Tuesday, March twenty first,

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Speaker 1: twenty twenty three. Yesterday was the first day of spring.

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Speaker 1: Forgot to mention that too yesterday, but yeah, happy first

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Speaker 1: day of Spring to all of who celebrate. My name

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Speaker 1: is Jack O'Brien aka. But did you know when La snows,

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Speaker 1: my thighs become so white that the light that you

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Speaker 1: shine can't be seen. That is courtesy of LOCARONI a

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Speaker 1: little reference to la weather those happening a couple of

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Speaker 1: weeks back, and my blindingly pale thighs that I like

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Speaker 1: to talk about on this show. For some reason, I

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Speaker 1: am thrilled to be joined by a very special guest

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Speaker 1: co host who you know from the podcast This Day

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Speaker 1: in Esoteric Political History from Utopia, Good Sport from Ted

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Speaker 1: and Pushkin thirty thirty or thirty four thirty with ESPN,

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Speaker 1: the five thirty eight politics podcast. Way that can first

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Speaker 1: heard him. It's well, I talk about the stuff I

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Speaker 1: did in college in high school, and I don't know. Man,

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Speaker 1: that's where I heard you, That's where I fell in love.

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Speaker 1: So I have to honor it. I have to honor

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Speaker 1: my truth of the Jody Abragant experience. Thank you and

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Speaker 1: happy first day of Spring that does not feel like

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Speaker 1: spring and moth physically and mentally. He's turned a new leaf.

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Speaker 1: And you know sen yeah, no, yeah, you're in New

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Speaker 1: York so especially we're we're talking Stormy Daniels and you know,

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Speaker 1: potential megapro today's lineup, by the way, I mean, you're

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Speaker 1: a sure job to introduced it. Gosh. I was like, okay,

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Speaker 1: well we'll start heavy, and I was like, um, okay,

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Speaker 1: and I look at the second topic, I'm like okay,

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Speaker 1: and that was the third topic. Really it really lined

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Speaker 1: it up here for folk. Were that's right, well, the

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Speaker 1: news cycle lined it up for us. We are thrilled

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Speaker 1: to be joined by the host and reporter behind the

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Speaker 1: new podcast from KCYRW City of Tents Veterans Row, which

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Speaker 1: I highly recommend everyone go listen to. She also created

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Speaker 1: KCYRWS podcast Samaritans. The podcasting talent we have on the

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Speaker 1: show today, folks, it's it's intimidating. Get ready, hold onto

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Speaker 1: your butts. It's Anna Sky, thank you, thank you. I

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Speaker 1: love that. It's like, uh my WWE. That's right. We

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Speaker 1: try and bring a lot of WWE energy to the

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Speaker 1: news cycle because there's not enough of it with our

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Speaker 1: former WWE wrestler ex president, you know, it's we like

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Speaker 1: to keep it live. How's everybody doing? How are you

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Speaker 1: guys doing? How Spring treating you so far? Well? Does

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Speaker 1: not feel like spring in Los Angeles? It is. It's

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Speaker 1: a cloudy, it's wet, and like, I know, the the

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Speaker 1: wet is good for our client there, we need the rain, etc.

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Speaker 1: But I'm over it. I'm really over it. Yeah, I

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Speaker 1: feel you all right, well, and we're gonna get to

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

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

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Speaker 1: talking about today. We are going to talk about city

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Speaker 1: of Tense veterans Row and just the issue of homelessness

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Speaker 1: in America that you do a lot of reporting on

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Speaker 1: and just kind of get your thoughts and insights because

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Speaker 1: you have a lot of really interesting things to say

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Speaker 1: in the show and just across media. So we will

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Speaker 1: talk about that. We will talk about Trump's announcing his

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Speaker 1: arrests on today it's supposed to happen, and you know,

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Speaker 1: he has called for protests those The response seems to

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Speaker 1: be somewhat muted. But it feels a little strange to

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Speaker 1: be like, you know, prognosticating how people are going to react.

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Speaker 1: But that's what we're gonna do for a little bit today.

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Speaker 1: So we'll talk about that. There's conspiracy theorist dating sites.

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Speaker 1: See what I see what I was saying. Yeah, we

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Speaker 1: might might skip down to the new rules for social etiquette,

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Speaker 1: which is something that I like to throw too when

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Speaker 1: things get a little too dreary. All of that plenty more,

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Speaker 1: But first Anna, we do like to ask our guests,

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

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Speaker 1: who you are? Well? Yeah, so I looked. I looked

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Speaker 1: on my phone, and the most recent one last night.

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Speaker 1: I think this is telling enough. So I decided last

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Speaker 1: night to rewatch the old Movies Sit in Nancy, Okay,

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Speaker 1: old classic. Um, I hadn't seen it for a long time,

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Speaker 1: and and then it I So I searched Alex Cox

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Speaker 1: diad because it Watching the movie made me curious about

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Speaker 1: the director and I'm kind of morbid. I don't know

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Speaker 1: My first question was whether the director Alex Cox is

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Speaker 1: still alive or at so, and you you had a guess.

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Speaker 1: It sounds like you were like watching You're like the

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Speaker 1: vision on Green here. This person can't be alive. I

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Speaker 1: mean the movie came out of nineteen eighty six, so

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Speaker 1: I just thought he's probably dead, but in fact he's not,

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Speaker 1: and he's actually not really even that old. He's in

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Speaker 1: his sixties. But the search did turn up a big

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Speaker 1: rabbit hole. But I guess there is a Netflix true

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Speaker 1: crime documentary that has someone in it named Alex Cox

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Speaker 1: who is in fact dead and also maybe murdered someone.

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Speaker 1: So that that led me down a whole rabbit hole

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Speaker 1: and I may have to watch that documentary now. In

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Speaker 1: addition to Sit and Nancy, Well, this story is bringing

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Speaker 1: up a very interesting question for me, which is you

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Speaker 1: referred to this as an old movie nineteen eighty six.

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Speaker 1: I mean, you know, I wasn't aware of Sit and

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Speaker 1: Nancy when it came out in nineteen eighty six, but

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Speaker 1: I'm curious what the line is for referring to something

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Speaker 1: as an old movie. Yeah, that's a good question. I

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Speaker 1: mean thirty years, Yeah, that's thirty years. That's just right

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Speaker 1: on the threshold about right right. But that was what

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Speaker 1: I was thinking. It's like somewhere right in there. You're right,

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Speaker 1: you may have pinned it like like it may be

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Speaker 1: that nineteen eighty six is the year that you if

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Speaker 1: this movie come out in nineteen eighty seven, would you

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Speaker 1: have caught it in an old movie? Maybe not? Maybe not.

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Speaker 1: I feel like eighty six is, yeah, I don't know.

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Speaker 1: Something about the mid eighties seems like a good dividing line.

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Speaker 1: So when my son was born in twenty sixteen, so

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Speaker 1: that exactly thirty years after the Side Nancy came out,

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Speaker 1: So it like the movie that was thirty years old

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Speaker 1: when I was born, or Work came out in nineteen fifty.

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Speaker 1: And there are things such as Destination Moon, a sci

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Speaker 1: fi film where they're like, what if we made it

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Speaker 1: to the moon and then you know it was made

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Speaker 1: of cheese or what. I don't know what they what

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Speaker 1: their thesis was at the time, but it's very old

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Speaker 1: by comparison that those movies were extremely old. As far

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Speaker 1: as I can tell. There are I like that you

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Speaker 1: went to Destination Moon and not you know, Sunset Boulevard

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Speaker 1: are all about eve. Oh yeah, that came out of

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Speaker 1: nineteen fifty. Those are timeless classics. Those are timeless classics.

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Speaker 1: I was, I was trying to make a point that

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Speaker 1: we're all very old, but time is slowing down or

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Speaker 1: compressing in this weird way. I mean, it really is

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Speaker 1: like culture cultural time is like skewing, for sure. For sure.

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Speaker 1: Now I'm just gonna be asking you questions but actually

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Speaker 1: googling the plot for Destination Moon in the background. But yeah,

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Speaker 1: after their latest rocket fails. No, I won't read, just

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Speaker 1: read you the IMDb summary of Destination Moon. But how

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Speaker 1: did how did Sid Nancy hold up? Um? Well, I

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Speaker 1: fell asleep after about twenty minutes because I ambled, So

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Speaker 1: I have to Uh, I've got to finish it. But

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Speaker 1: so far, so good. Um, it's uh, I don't know what.

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Speaker 1: I don't know why this movie came to mind as

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Speaker 1: just something i'd like to rewatch, But it's I think

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Speaker 1: it's a very it's a very good about being on drugs. Yeah,

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Speaker 1: I was gonna say, it's very appropriate that you nodded

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Speaker 1: off during sitting names. Yes, yeah, yeah, I nodded off.

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Speaker 1: Totally sober but right, but nonetheless still appropriate reaction. Very

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Speaker 1: young Gary Oldman in this movie as Sibvicious, which is, uh,

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Speaker 1: it's kind of interesting to see. Haven't seen a yet

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Speaker 1: very young Gary oldman for a while. Also, Courtney Love

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Speaker 1: has a small part in the movie, which I've forgotten

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Speaker 1: it out. She is I don't know if she comes back,

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Speaker 1: I can't remember, but she's she's in it early on.

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Speaker 1: In one of the first scenes she's she has a

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Speaker 1: brief crying scene because the movie opens with discovering the

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Speaker 1: body of Nancy and you know, I don't know, I

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Speaker 1: don't know if people know this movie it's about the

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Speaker 1: sex pistol basically, yea, the Dune romance. Yes, Subvicious and

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Speaker 1: Nancy Sponge and so it kind of starts at the

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Speaker 1: end and then backtracks, and so Courtney Love is briefly

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Speaker 1: in the beginning sobbing and saying something like she was

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Speaker 1: a really nice person, kind of chewing the scenery in

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Speaker 1: her fifteen second appearance. Yeah, not know. She was like

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Speaker 1: an established movie actor when she came on the scene

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Speaker 1: and like met Kurt Cobain and all that stuff. That's interesting. Yeah,

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Speaker 1: so so far, so good. What is what something you

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Speaker 1: think is overrated? Bacon? Bacon, Bacon overrated overrated, overrated. I

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Speaker 1: don't get it, never liked it, don't like it, don't

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Speaker 1: understand the fuss. There have to be other people like

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Speaker 1: me out there, there's there has to be. And when

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Speaker 1: you say this, people immediately or like you've just never

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Speaker 1: had good bacon? Right, yes, more they think I'm being

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Speaker 1: contrarian on purpose, like I've chosen something that you know,

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Speaker 1: just because it's so great and wonderful. But I'm not.

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Speaker 1: I don't get I don't understand. I don't like it.

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Speaker 1: I don't think how did you how did you hold

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Speaker 1: up during the bacon craze of the what was that

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Speaker 1: like the mid two thousands or something, when there was

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Speaker 1: just bacon flavored everything everywhere? I just I just tuned

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Speaker 1: it out. I just, I mean, I there must be

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Speaker 1: other people like me, right, uh yeah, yeah. I can

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Speaker 1: imagine you're the only person on earth who has this

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Speaker 1: opinion for me, someone who enjoys bacon a lot of

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Speaker 1: the time like I enjoy. I don't enjoy all bacon.

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Speaker 1: I don't think bacon is like unfuckupable. It's very hit

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Speaker 1: or miss, but like when it's really done to my liking,

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Speaker 1: I really enjoy it. But I prefer Super producer Becca

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Speaker 1: came in the chat to say, sausage over bacon. I

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Speaker 1: think that is generally true in terms of like sausage

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Speaker 1: is pretty easy to prepare and replacement level sausage. Yeah,

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Speaker 1: replacement level sausage versus bacon. All so I don't feel

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Speaker 1: good like cleaning up bacon after the fact. I'm like, what,

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Speaker 1: people who don't like bacon are correct, this is gross,

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Speaker 1: Like this is this is not something that is meant

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Speaker 1: to be consumed by humans. And all the breakfast foods

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Speaker 1: to freak out over. I just feel like there's so

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Speaker 1: many better ones. Take a pancake, waffle, scrambled eggs, I

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Speaker 1: mean almost anything over bacon. There's so many wonderful breakfast foods.

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Speaker 1: I just don't get it. Yeah, so you go sweet

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Speaker 1: over savory generally at breakfast, I guess. So. I guess

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Speaker 1: I am more of a sweet tooth person than a

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Speaker 1: salty tooth person. So maybe that is a that is

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Speaker 1: a factor here. Tale I like that though I'm a

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Speaker 1: salty tooth for real salty tooth. It sounds like a

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Speaker 1: like an old sailor or like an old sea captain. Yeah,

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Speaker 1: which is maybe why I didn't take off the way

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Speaker 1: Sweet Tooth did, Superducer Bay coming in saying Canadian bacon better,

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Speaker 1: which is certainly an opinion I have never gotten on board,

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Speaker 1: but I probably haven't had good enough Canadian bacon. And

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Speaker 1: it's all it's definitely falls into that same category of like,

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Speaker 1: it always seems like it's about the same. Would you

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Speaker 1: call the movie Canadian Bacon an old movie? Oh? Yeah, yeah,

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Speaker 1: that is from nineteen ninety five. We think we have

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Speaker 1: to move our line, so twenty eight years it's ordering

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Speaker 1: on the old movie. Yeah, all right, all right, data point,

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Speaker 1: it's aged. Yeah. What is something you think is underrated? Baths? Baths? No,

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Speaker 1: I mean a lot of people like taking baths, but

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Speaker 1: but I just think I don't think we talk about

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Speaker 1: baths enough and how great they are. Probably my favorite

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Speaker 1: kind of indulgent thing to do to take a bath

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Speaker 1: in the middle of the day if I have time,

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Speaker 1: I mean having a young child, and during the work

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Speaker 1: week that's usually not possible. But if I find myself

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Speaker 1: in a pocket of time during the day when I'm

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Speaker 1: alone in the house and I can take a bath

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Speaker 1: while the sun is still out and it's midday, I mean,

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Speaker 1: it's like it's amazing. I feel like we should talk

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Speaker 1: about it more. And you can do so many things

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Speaker 1: to your bath. You can put bath salts in their bubbles,

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Speaker 1: right ducks, Yeah, ducks. Bath beeds like smell good. It's

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Speaker 1: like it's going to a spot. But but you know,

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Speaker 1: you don't have to pay any money and you don't

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Speaker 1: have to leave your house. I experienced a bit of

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Speaker 1: a bath renaissance when I had a kid as well,

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Speaker 1: just because you know, you remember, oh baths, right, is

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Speaker 1: that what happened for you? You feel like it's both

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Speaker 1: the ritual of giving him a bath, you know, every

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Speaker 1: day or every other day. That kind of reminded me

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Speaker 1: of baths and also of mister Bubble, which I advocate

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Speaker 1: for as well. And then also I think just having

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Speaker 1: an uninterrupted block of time alone is also at a

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Speaker 1: high premium after having a kid, so that's probably part

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Speaker 1: of it as well. I think baths are for people

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Speaker 1: who aren't me, because I like, I feel like I'm

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Speaker 1: steeping in my filth like a tea bag. Well this

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Speaker 1: is bath. Yeah, what's okay? Shower before bath is okay,

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Speaker 1: now we're talking. That does make sense because yeah, I

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Speaker 1: just like a little soak. See, I've always solve this

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Speaker 1: bike going shower after bath interesting. Okay, so yeah, but

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Speaker 1: then you're still steeping in your own filth for a

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Speaker 1: little bit. The shower before bath had never occurred to me.

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Speaker 1: Just a quick rince, you know, because also you don't

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Speaker 1: have to kind of I feel like taking a shower

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Speaker 1: right after a bath kind of washes away the bath glow.

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Speaker 1: I just want to get out to the bath and

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Speaker 1: right right, yeah, putting a little oils in there. Yeah,

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Speaker 1: it's just it's just the bubble bath. I need the

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Speaker 1: skim of bubbles to not see below the surface what's

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Speaker 1: happening down there when I'm in a bathtub. Personally, that's

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Speaker 1: just how I feel. Well, this is this is a

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Speaker 1: call back to the thighs thing that you They're distracting.

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Speaker 1: I'll say there, it's pretty distracting. My eyes can't see

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Speaker 1: the light that you shine. The lyrics to Kiss by

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Speaker 1: a Rose are really kind of they seem like a

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Speaker 1: day dream that someone like someone trying to write a

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Speaker 1: lyric as they're falling asleep. It's very strange. Anyways, all right, well,

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Speaker 1: I feel like we've gotten to know you a little

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Speaker 1: bit better. Let's take a quick break and we'll be

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Speaker 1: right back. And we're back, and and I wanted to

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Speaker 1: talk about City of Tents Veterans Row, which is a

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Speaker 1: series that you have been reporting out. So you start

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Speaker 1: the season off talking about like you say that homelessness

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Speaker 1: is an issue that the more you've reported on it,

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Speaker 1: the less kind of inerge to it you become, the

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Speaker 1: more like kind of outrage you feel. And you also

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Speaker 1: say it's a problem that you feel like we could

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Speaker 1: solve if we really wanted to. Can you can you

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Speaker 1: talk a little bit about like just that that feeling

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Speaker 1: that you get from you know, knowing more and more

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Speaker 1: about about the homelessness crisis and in America, and you

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Speaker 1: know where that kind of outrage comes from. Yeah, you know,

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Speaker 1: I think that there is a certain amount of numbing

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Speaker 1: out that happens almost as a defense mechanism when you

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Speaker 1: live in a city like Los Angeles where where I live,

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Speaker 1: and the homelessness crisis is so visible every day. There's

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Speaker 1: encampments under just about every freeway over past parks. So

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Speaker 1: I think a lot of people, I mean, the nice

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Speaker 1: way to put it is, you know, you is you

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Speaker 1: get desensitized, right, it becomes part of the landscape probably

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Speaker 1: is a necessity, because otherwise you would be upset all

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Speaker 1: the time. I think the not it's a nice way

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Speaker 1: to put it, is there's a lot of dehumanizing that

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Speaker 1: goes on, I think, on how people are really I

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Speaker 1: mean one group of people that a lot of folks

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Speaker 1: seem to feel very comfortable generalizing about and saying some

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Speaker 1: pretty horrendous things about just in casual company and which,

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Speaker 1: and so you know, a lot of my time is

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Speaker 1: spent talking to people who are experiencing homelessness because they're

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Speaker 1: the most affected by the crisis, and so I think

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Speaker 1: naturally that just chips away at that layer you know

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Speaker 1: that might otherwise develop, and you know, you get to

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Speaker 1: know people on an individual level. You see how close

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Speaker 1: a lot of us could you know, are to becoming unhoused.

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Speaker 1: And so that's why I say early on in the series,

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Speaker 1: just the more I cover it, the more sensitized, if

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Speaker 1: that's even a word I feel to it. And it's

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Speaker 1: you know, it's it's it's outrage because I also get

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Speaker 1: an up close look at a lot of the systemic

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Speaker 1: failures behind the crisis. But it's also sad and upsetting,

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Speaker 1: and yeah, all those things, all those things, it's you know,

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Speaker 1: it's it is a humanitarian crisis that's unfolding in a

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Speaker 1: lot of our big cities, and and I guess when

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Speaker 1: you are really plugged into it and talking to people

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Speaker 1: experiencing it all the time, it's it's just hard to

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Speaker 1: hard to backtrack and just kind of oh yeah, like

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Speaker 1: accepted as a regular part of the landscape. But I

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Speaker 1: also do say in the first episode that it's not

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Speaker 1: an intractable problem and there are solutions. I don't want

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Speaker 1: people to feel hopeless about it, because I mean, it's

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Speaker 1: it can be complicated on to one on one level,

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Speaker 1: right when you talk to individuals and get to know

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Speaker 1: their stories and all the factors that might have ledged

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Speaker 1: someone to falling out of the housing market. But really,

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Speaker 1: you know, there are a lot of things that work,

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Speaker 1: and we've seen them in One of the reasons with

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Speaker 1: this podcast actually that I focused on unhoused veterans specifically,

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Speaker 1: is that they've been an interesting case study in recent years,

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Speaker 1: in recent decades in this country about what works. Veterans

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Speaker 1: are generally more politically popular as a group of people

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Speaker 1: than non veterans, so they've gotten more assistance and it's worked,

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Speaker 1: and as the series unfolds, we unpack what that assistance

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Speaker 1: is and we look at, you know, how these things

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Speaker 1: could be applied to non veterans as well. But yeah,

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Speaker 1: I mean, I can go as far into the weeds

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Speaker 1: as you want or stay as big picture as you want,

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Speaker 1: but basically, there are things that we know work. There

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Speaker 1: are big common you know, drivers of this crisis that

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Speaker 1: we can address. But that doesn't mean they're easy to

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Speaker 1: do that these solutions are easy, you know, they require

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Speaker 1: a lot of resources, in some cases a whole new

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Speaker 1: social contract. So I don't want to minimize that. But

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Speaker 1: it's not like this is a mystery. This is an

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Speaker 1: issue we've been dealing with for decades in this country

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Speaker 1: that's been studied a lot, and there's a ton of

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Speaker 1: research about it. And yeah, so we do know what

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Speaker 1: the causes are and what the solutions are. Just that

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Speaker 1: big picture like American reaction too, and I it's probably

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Speaker 1: other countries, other Western countries too, but the reaction of

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Speaker 1: wanting to dehumanize, And it also reminds me of a

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Speaker 1: thing we run into where like billionaires are more popular

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Speaker 1: than they should be with the people who they spend

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Speaker 1: a lot of time whose lives they spend a lot

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Speaker 1: of time like making worse. It's like this American thing

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Speaker 1: where we want everyone to be getting what they deserve

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Speaker 1: at some level. And so they're like they want to

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Speaker 1: blame homeless people who are you know, suffering from homelessness

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Speaker 1: for their situation and you know, also give billionaires credit

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Speaker 1: for their circumstances. And it's I don't know, I don't

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Speaker 1: know how we get out of that, because I go

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Speaker 1: it runs deep. It feels like, but I think talking

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Speaker 1: to and like hearing reporting where you are actually speaking

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Speaker 1: to these human beings and hearing their stories and you

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Speaker 1: know that they are here because of like something that

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Speaker 1: they sacrificed and like gave to the country is a

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Speaker 1: pretty powerful way to do it. I guess, thanks, Yeah,

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Speaker 1: that is. I mean another reason that this story was

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Speaker 1: interesting is because it does focus on a group of

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Speaker 1: unhoused veterans, and it definitely I'm always looking for ways

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Speaker 1: because as a reporter, I don't I don't want to

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Speaker 1: write policy prescriptions or get into that territory. I can

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Speaker 1: certainly talk about policies that have worked in certain instances

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Speaker 1: or case studies or research, etc. Etc. But I'm not

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Speaker 1: going to advocate for this is you know, specifically exactly

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Speaker 1: what we should do. I'm going to present you with

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Speaker 1: what we know, and you know what has worked before.

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Speaker 1: But but something that I do try to do pretty

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Speaker 1: actively is just pierce that numbness a little bit and

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Speaker 1: hopefully present the issue to people with a fresh lens.

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Speaker 1: So that and veterans were an interesting way to do that,

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Speaker 1: because there is a kind of general goodwill that Americans

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Speaker 1: have for people who have done military service, just kind

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Speaker 1: of by and large, and so I think that in

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Speaker 1: some ways expanded the audience the people that would be

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Speaker 1: receptive to hearing it, and just automatically humanize the people

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Speaker 1: of the center of it. For some folks. I mean,

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Speaker 1: you know, I think I don't know, for better or worse,

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Speaker 1: that that is just true. And then also I'm always

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Speaker 1: trying to find ways to break the conversation out of

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Speaker 1: superpartisan political lenses because this issue, especially in a place

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Speaker 1: like where it's a real top issue for people, it's

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Speaker 1: become so political and the way people talk about it,

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Speaker 1: it's so binary and and a lot of people just

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Speaker 1: have these preconceived ideas and it's very hard to break

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Speaker 1: through that so I'm always looking for ways, and again

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Speaker 1: with veterans, it was it was an opportunity to break

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Speaker 1: through some of that because the politics just god all

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Speaker 1: turned upside down because of the military angle. So on

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Speaker 1: that point, I mean, I take your point about how

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Speaker 1: veterans are an entry point for a lot of people

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Speaker 1: because people tend to want to support them. But the

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Speaker 1: flip side of that is, you know that talking about

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Speaker 1: veterans and talking about supporting our troops is just so

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Speaker 1: is used so cynically by politicians, you know, on both sides,

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Speaker 1: And the GOP loves to talk about supporting our troops

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Speaker 1: and then very rarely backs it up with supporting veterans,

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Speaker 1: and Democrats don't seem to be doing that much better.

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Speaker 1: I'm just curious, like, do the people, the people that

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Speaker 1: you talk to that you got to know, do they

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Speaker 1: feel connected to that being back and forth at the

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Speaker 1: political level. Does it matter to them whether a Democratus

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Speaker 1: president or Republicans president and how they've talked about supporting

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Speaker 1: our troops. Well, the story that I follow over this series,

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Speaker 1: it focused. It focuses on one encampment that was on

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Speaker 1: a street in LA for more than a year and

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Speaker 1: at any given time, there were as many as almost

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Speaker 1: fifty people living there, pretty much all the military veterans,

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Speaker 1: and so they themselves were really mixed bag in terms

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Speaker 1: of their their backgrounds, their own political beliefs, you know,

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Speaker 1: how much they were following national politics. That it was

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Speaker 1: it was all over the place. It was really hard

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Speaker 1: to generalize the issues that they were dealing with, you know,

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Speaker 1: the kind of service they've done. I mean, it was

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Speaker 1: it was all over the map. What was interesting about

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Speaker 1: this encampment, which was nicknamed Veteran Row, I mean, one

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Speaker 1: of many things that was interesting was how it attracted

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Speaker 1: a lot of people who I've never seen at any

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Speaker 1: other encampment in Los Angeles. And there are many large

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Speaker 1: encampments around in LA and different ones that had become

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Speaker 1: flashpoints at different points in time, which this one eventually

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Speaker 1: did as well. But it also drew a crowd that

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Speaker 1: was really unusual people. I mean, people had political rallies there,

426
00:25:15,359 --> 00:25:19,680
Speaker 1: different candidates running for office, Like back when there was

427
00:25:19,760 --> 00:25:22,879
Speaker 1: a recall effort to try to recall Governor Gavin Newsom,

428
00:25:22,960 --> 00:25:25,359
Speaker 1: there were people who wanted to replace him, who had

429
00:25:25,400 --> 00:25:28,760
Speaker 1: events there that they would broadcast on YouTube. There were

430
00:25:28,880 --> 00:25:32,000
Speaker 1: you know, usually kind of fringe candidates, to be honest,

431
00:25:32,119 --> 00:25:36,480
Speaker 1: but they drew a barbecues. There were people always showing

432
00:25:36,600 --> 00:25:40,399
Speaker 1: up to do different kinds of events. There were always

433
00:25:40,440 --> 00:25:44,159
Speaker 1: people coming with cameras and making documentaries and doing all

434
00:25:44,200 --> 00:25:47,920
Speaker 1: sorts of projects like that. Specifically because of because it

435
00:25:48,080 --> 00:25:51,800
Speaker 1: was Sands, there was Yeah, a Walmart commercial was filming

436
00:25:51,840 --> 00:25:53,880
Speaker 1: there one day, or at least that's what the crew

437
00:25:53,960 --> 00:25:56,959
Speaker 1: told me. I have searched for this Walmart commercial online

438
00:25:56,960 --> 00:25:58,760
Speaker 1: to see if it ever saw the light of day,

439
00:25:58,760 --> 00:26:01,000
Speaker 1: and I haven't found it. But but yeah, early on

440
00:26:01,119 --> 00:26:03,639
Speaker 1: in the series, you hear a crew they're shooting what

441
00:26:03,720 --> 00:26:07,280
Speaker 1: they say is as a Walmart, a documentary stat Walmart commercials.

442
00:26:07,359 --> 00:26:10,240
Speaker 1: So Walmart as a filmmaker, I should just say they're

443
00:26:10,320 --> 00:26:13,160
Speaker 1: very They're like Kubrick. They will do take after take

444
00:26:13,240 --> 00:26:15,159
Speaker 1: until they can get it right. So that's why it

445
00:26:15,280 --> 00:26:20,080
Speaker 1: might not have come out. Walmart is acting filmmaker Stilby, Yes,

446
00:26:20,240 --> 00:26:22,879
Speaker 1: perfecting that. But that was one of the things that

447
00:26:23,000 --> 00:26:24,639
Speaker 1: drew me to it. And you know, in the middle

448
00:26:24,680 --> 00:26:28,960
Speaker 1: of it all, you had these dozens of unhoused military veterans.

449
00:26:29,000 --> 00:26:31,879
Speaker 1: We're kind of being used as a backdrop, backdrop a

450
00:26:31,920 --> 00:26:34,840
Speaker 1: lot of the time, and you know, they themselves, I

451
00:26:34,920 --> 00:26:39,440
Speaker 1: mean they were more concerned day to day with trying

452
00:26:39,560 --> 00:26:43,520
Speaker 1: to get into housing where you know, where's the next

453
00:26:43,600 --> 00:26:46,600
Speaker 1: meal going to come from? You know, they generally speaking,

454
00:26:46,720 --> 00:26:49,480
Speaker 1: they really did not want the encampment to be known

455
00:26:49,600 --> 00:26:53,560
Speaker 1: as a political partisan place. They didn't really want to

456
00:26:53,600 --> 00:26:57,359
Speaker 1: be affiliated with, you know, any particular candidate or party

457
00:26:57,480 --> 00:27:01,080
Speaker 1: or anything like that. But a lot of people showed

458
00:27:01,119 --> 00:27:05,720
Speaker 1: up there genuinely trying to help, but also promoting themselves

459
00:27:05,760 --> 00:27:09,040
Speaker 1: in different ways. And I found that really interesting. Yeah,

460
00:27:09,480 --> 00:27:12,400
Speaker 1: it's you talk about the barbecues. It is like there

461
00:27:12,640 --> 00:27:15,720
Speaker 1: is this community that's happening there. And you even speak

462
00:27:15,800 --> 00:27:18,440
Speaker 1: to one of the veterans who lives there and is like,

463
00:27:18,600 --> 00:27:22,840
Speaker 1: I wouldn't want to necessarily be in an apartment by myself.

464
00:27:23,040 --> 00:27:27,280
Speaker 1: Like there's really seems like the having other people around

465
00:27:27,400 --> 00:27:31,080
Speaker 1: and like having this community that has kind of come together.

466
00:27:31,600 --> 00:27:34,480
Speaker 1: They have a dress code kind of they have like

467
00:27:34,600 --> 00:27:38,679
Speaker 1: a homeowners association type role about like having your flag

468
00:27:38,800 --> 00:27:42,760
Speaker 1: facing a certain way. But like, yeah, it's I don't

469
00:27:42,800 --> 00:27:46,479
Speaker 1: know comparing it too so just to for people who

470
00:27:46,520 --> 00:27:49,560
Speaker 1: aren't familiar with Brentwood, Brentwood is like, you know, this

471
00:27:49,760 --> 00:27:53,879
Speaker 1: super wealthy neighborhood of Los Angeles, if you saw the

472
00:27:53,960 --> 00:27:57,919
Speaker 1: people versus O. J. Simpson, like that's where OJ lived

473
00:27:58,320 --> 00:28:01,480
Speaker 1: and in like the mansions are just up the street

474
00:28:01,640 --> 00:28:05,720
Speaker 1: from where this is happening. The reason it's happening here

475
00:28:06,040 --> 00:28:10,080
Speaker 1: is because there's also the Veterans administration, like right there,

476
00:28:10,200 --> 00:28:14,560
Speaker 1: this massive chunk of beautiful land right in the middle

477
00:28:14,600 --> 00:28:17,600
Speaker 1: of the city that the government is just not doing

478
00:28:18,400 --> 00:28:23,520
Speaker 1: anything with for years. But yeah, it just like when

479
00:28:23,560 --> 00:28:26,600
Speaker 1: you compare the number of like Taco Tuesday parties and

480
00:28:27,400 --> 00:28:32,520
Speaker 1: barbecues and like things that we're coming together with these people,

481
00:28:32,640 --> 00:28:37,080
Speaker 1: there's like just so much humanity there and community that

482
00:28:37,800 --> 00:28:42,200
Speaker 1: you don't see in those surrounding neighborhoods that are like

483
00:28:42,320 --> 00:28:44,800
Speaker 1: fighting so hard to get them out of there in

484
00:28:44,880 --> 00:28:48,560
Speaker 1: a lot of cases. M that's interesting. Yeah, And you know,

485
00:28:48,840 --> 00:28:53,080
Speaker 1: encampments are generally communities. Spend time at any given one,

486
00:28:53,200 --> 00:28:57,880
Speaker 1: you know, anywhere in LA and most often it is

487
00:28:57,920 --> 00:29:02,360
Speaker 1: a community, you know, and people have relationships, and I

488
00:29:02,520 --> 00:29:05,760
Speaker 1: think that I think it's easy to underestimate that, and

489
00:29:05,960 --> 00:29:09,800
Speaker 1: I think you know, it's hard to understand like, well,

490
00:29:10,360 --> 00:29:13,880
Speaker 1: you know, if you hear something like oh, somebody you know,

491
00:29:14,040 --> 00:29:17,840
Speaker 1: turned down a particular shelter offer for example. You know,

492
00:29:17,960 --> 00:29:20,320
Speaker 1: they must be resistant to all help. You know, they

493
00:29:20,400 --> 00:29:23,600
Speaker 1: must be That just sounds like a totally illogical thing

494
00:29:23,680 --> 00:29:26,200
Speaker 1: to do. But um, but a lot of the time,

495
00:29:27,520 --> 00:29:30,240
Speaker 1: you know, people do have community where you know, they

496
00:29:30,320 --> 00:29:35,240
Speaker 1: make community at often at encampments and and most people

497
00:29:35,760 --> 00:29:38,000
Speaker 1: certainly do want help and they would prefer to live

498
00:29:38,240 --> 00:29:41,960
Speaker 1: in a house or in some other circumstance. But but also,

499
00:29:42,760 --> 00:29:46,160
Speaker 1: you know, you can develop ties and relationships and a

500
00:29:46,240 --> 00:29:49,520
Speaker 1: feeling of community anywhere that you live for a long

501
00:29:49,600 --> 00:29:52,320
Speaker 1: period of time. And so you know, sometimes there can

502
00:29:52,360 --> 00:29:54,840
Speaker 1: be a few steps still finding a solution for somebody

503
00:29:54,960 --> 00:29:56,960
Speaker 1: that that will work for them where you know they

504
00:29:57,000 --> 00:29:59,160
Speaker 1: don't necessarily have to give up that feeling. But and

505
00:29:59,240 --> 00:30:01,520
Speaker 1: all of that played out Veterans Row. Veterans Row had

506
00:30:01,520 --> 00:30:05,160
Speaker 1: its own unique flavor to its community because it was

507
00:30:05,280 --> 00:30:08,960
Speaker 1: all these unhoused veterans who were in that location for

508
00:30:09,040 --> 00:30:11,720
Speaker 1: a very specific reason. Like you said, it's because they

509
00:30:11,760 --> 00:30:16,720
Speaker 1: were right outside of this enormous, huge campus own and

510
00:30:17,600 --> 00:30:21,320
Speaker 1: ding dormitories. Just like, yes, it's a super weird place

511
00:30:21,440 --> 00:30:23,800
Speaker 1: if you're here in LA I mean, most people, you know,

512
00:30:24,160 --> 00:30:25,680
Speaker 1: if you don't have a reason to go there. You

513
00:30:25,800 --> 00:30:28,240
Speaker 1: just drive past it and you kind of are vaguely familiar.

514
00:30:28,320 --> 00:30:31,040
Speaker 1: But it's this huge VA campus with a hospital on

515
00:30:31,160 --> 00:30:33,920
Speaker 1: it and other medical facilities and various things you know,

516
00:30:33,960 --> 00:30:36,800
Speaker 1: that are fully functioning. And then it has all these

517
00:30:37,120 --> 00:30:40,360
Speaker 1: creepy old buildings and open space and a lot of

518
00:30:40,400 --> 00:30:42,280
Speaker 1: people wonder what is going on there. And there's a

519
00:30:42,360 --> 00:30:45,440
Speaker 1: long backstory that we get into, but the important part

520
00:30:45,560 --> 00:30:49,080
Speaker 1: is the reason it's a VA campus is the land

521
00:30:49,480 --> 00:30:53,000
Speaker 1: was donated more than a century ago to be a

522
00:30:53,120 --> 00:30:55,520
Speaker 1: home for veterans. This was at a time when the

523
00:30:55,640 --> 00:30:58,520
Speaker 1: United States actually had these veterans homes all over the country,

524
00:30:58,640 --> 00:31:02,120
Speaker 1: these campuses where people returning from the Civil War and

525
00:31:02,480 --> 00:31:05,960
Speaker 1: later conflicts could live and see doctors and get healthcare.

526
00:31:06,600 --> 00:31:09,680
Speaker 1: So this particular campus was part of that system for

527
00:31:09,760 --> 00:31:13,480
Speaker 1: a long time. But over time we abolished that system

528
00:31:13,560 --> 00:31:16,480
Speaker 1: and the VA evolved into what it does today, which

529
00:31:16,600 --> 00:31:20,440
Speaker 1: is largely healthcare, so all cemeteries benefits, and so this

530
00:31:20,680 --> 00:31:24,960
Speaker 1: campus it really reflects that because it has the medical facilities,

531
00:31:25,000 --> 00:31:27,720
Speaker 1: but then it has these old remnants of what it

532
00:31:27,840 --> 00:31:32,520
Speaker 1: once was, and there was they also leased parts of

533
00:31:32,600 --> 00:31:34,960
Speaker 1: it out to different entities, that have nothing to do

534
00:31:35,040 --> 00:31:37,400
Speaker 1: with veterans at all, like some schools that have athletic

535
00:31:37,440 --> 00:31:40,800
Speaker 1: facilities there, which has always been controversial and even led

536
00:31:40,840 --> 00:31:44,840
Speaker 1: to a lawsuit some years ago resulting in a plan

537
00:31:45,680 --> 00:31:48,280
Speaker 1: the VA, you know, because they were because the government

538
00:31:48,440 --> 00:31:52,200
Speaker 1: was given was you know, given this land or chosen

539
00:31:52,240 --> 00:31:55,000
Speaker 1: to be the stewards, I suppose of this land under

540
00:31:55,080 --> 00:31:59,080
Speaker 1: these particular stipulations that it'd be a home for veterans.

541
00:31:59,680 --> 00:32:03,760
Speaker 1: They ended up agreeing some years ago to create new

542
00:32:03,800 --> 00:32:08,360
Speaker 1: affordable housing there for specifically for homeless veterans. So one

543
00:32:08,400 --> 00:32:11,880
Speaker 1: of the reasons that this camp formed right outside that

544
00:32:11,960 --> 00:32:14,160
Speaker 1: property is because a lot of the vests there they

545
00:32:14,320 --> 00:32:16,880
Speaker 1: were receiving services at the VA, they maybe landed on

546
00:32:16,920 --> 00:32:19,640
Speaker 1: the street after trying to get into different VA programs.

547
00:32:20,120 --> 00:32:23,240
Speaker 1: But also they by putting up these large tents that

548
00:32:23,320 --> 00:32:25,240
Speaker 1: they had put up in these flags, they were trying

549
00:32:25,280 --> 00:32:28,719
Speaker 1: to call attention to this plan that still hasn't come

550
00:32:28,800 --> 00:32:31,880
Speaker 1: to fruition although it's underway to build this new housing there.

551
00:32:31,920 --> 00:32:34,880
Speaker 1: They're trying to they're trying to let kind of let

552
00:32:34,920 --> 00:32:37,880
Speaker 1: people know, hey, this is we're supposed to be living

553
00:32:38,000 --> 00:32:40,240
Speaker 1: on this land, but we're what we're on the street

554
00:32:40,840 --> 00:32:46,360
Speaker 1: and so yeah, so it was they had this you know,

555
00:32:46,960 --> 00:32:50,080
Speaker 1: this connection in common to the to the land next door.

556
00:32:50,600 --> 00:32:52,200
Speaker 1: You know, most of them were under the care of

557
00:32:52,320 --> 00:32:54,400
Speaker 1: doctors on that campus. They sort of brought like a

558
00:32:54,480 --> 00:32:58,320
Speaker 1: military flare to the encampment on the street with these

559
00:32:58,400 --> 00:33:01,440
Speaker 1: matching flags that they had, and they had some chore

560
00:33:01,600 --> 00:33:05,160
Speaker 1: rotations and things like that. So it was a very

561
00:33:05,240 --> 00:33:09,560
Speaker 1: unique community. Yeah. Well it's a really it's a great podcast.

562
00:33:09,640 --> 00:33:13,040
Speaker 1: Everyone should go listen. You know, we're just scratching the

563
00:33:13,120 --> 00:33:17,360
Speaker 1: surface here, but it's a it's a really mind blowing,

564
00:33:17,880 --> 00:33:22,720
Speaker 1: you know, snapshot of America in all its good and

565
00:33:23,240 --> 00:33:27,360
Speaker 1: really bad glory on display in like some really yeah,

566
00:33:28,040 --> 00:33:35,480
Speaker 1: just surreal ways, Like it's a it feels like, yeah,

567
00:33:35,560 --> 00:33:39,800
Speaker 1: the Veterans campus just it feels like an Ivy League

568
00:33:40,400 --> 00:33:43,880
Speaker 1: school that was just left to like just abandoned like

569
00:33:44,120 --> 00:33:47,920
Speaker 1: decades ago, like and and is just rotting there. Well

570
00:33:49,440 --> 00:33:52,200
Speaker 1: they're like, we don't, we don't have housing for these people.

571
00:33:52,560 --> 00:33:58,680
Speaker 1: It's it's very surreal. Yeah, very strange place and very

572
00:33:58,720 --> 00:34:02,240
Speaker 1: interesting dynamics with this camp next door. And then the

573
00:34:02,400 --> 00:34:05,080
Speaker 1: surrounding neighborhood, as you mentioned, is Brentwood, which is one

574
00:34:05,120 --> 00:34:09,359
Speaker 1: of the wealthiest neighborhoods in Los Angeles. So yeah, all

575
00:34:09,440 --> 00:34:12,360
Speaker 1: of that and how the community interacted with the encampment

576
00:34:12,480 --> 00:34:15,920
Speaker 1: and the encampment and its relationship to the VA, it

577
00:34:16,160 --> 00:34:20,480
Speaker 1: was all pretty fascinating. And you know, it was it

578
00:34:20,600 --> 00:34:23,640
Speaker 1: was a tragic situation and some and some all whole

579
00:34:23,680 --> 00:34:27,680
Speaker 1: things happened. But also you know, there was there was

580
00:34:27,680 --> 00:34:29,840
Speaker 1: a lot of humor in it. I mean just with

581
00:34:30,000 --> 00:34:32,279
Speaker 1: the spectacle that it was and the people that would

582
00:34:32,280 --> 00:34:35,560
Speaker 1: show up, and so yeah, I'm trying to get to

583
00:34:35,600 --> 00:34:38,440
Speaker 1: all of that. There's one veteran who's like, I need

584
00:34:38,640 --> 00:34:42,080
Speaker 1: surgery for my like badly hurt ankle, and a guy

585
00:34:42,320 --> 00:34:44,479
Speaker 1: shows up and like keeps trying to let him pray

586
00:34:44,600 --> 00:34:47,360
Speaker 1: over it, and he's like, yeah, yeah, no, no, no

587
00:34:47,640 --> 00:34:50,359
Speaker 1: it helped, Like it definitely feels like five percent better.

588
00:34:50,600 --> 00:34:52,120
Speaker 1: Can I leave now? The guy's like, no, no, no,

589
00:34:52,320 --> 00:34:55,320
Speaker 1: let me let me keep praying over your ankle. Like

590
00:34:55,760 --> 00:34:58,200
Speaker 1: it was just like a small, yeah example, these things

591
00:34:58,239 --> 00:35:00,520
Speaker 1: that would happen all the time, where people show up

592
00:35:00,560 --> 00:35:03,279
Speaker 1: with their own very particular ideas about how to help,

593
00:35:04,040 --> 00:35:07,600
Speaker 1: and you know, and a lot of people were drawn

594
00:35:07,640 --> 00:35:09,960
Speaker 1: to it because it was veterans for different reasons and

595
00:35:10,160 --> 00:35:13,080
Speaker 1: wanted to help, but a lot of the time their

596
00:35:13,160 --> 00:35:16,920
Speaker 1: idea of helping wasn't necessarily connected to what the veterans

597
00:35:17,000 --> 00:35:21,040
Speaker 1: themselves wanted or needed. Yeah, and I found that very interesting.

598
00:35:21,120 --> 00:35:24,160
Speaker 1: So that was the other common thread through the whole series,

599
00:35:24,280 --> 00:35:27,120
Speaker 1: is just me trying to sort out who who is helping?

600
00:35:27,560 --> 00:35:30,120
Speaker 1: Who is actually helping here? Yeah. There were some really

601
00:35:30,200 --> 00:35:33,960
Speaker 1: good examples though, of the of people who were helping

602
00:35:34,080 --> 00:35:37,000
Speaker 1: by just being like, these are humans, what would make

603
00:35:37,080 --> 00:35:41,160
Speaker 1: them feel better? You know? Like what like the person

604
00:35:41,640 --> 00:35:47,040
Speaker 1: who was a former food company exec who started barbecuing

605
00:35:47,440 --> 00:35:51,000
Speaker 1: there and like started the regular barbecues just like brought

606
00:35:51,040 --> 00:35:56,480
Speaker 1: a weaver grill and created a regular kind of community event.

607
00:35:56,840 --> 00:35:59,560
Speaker 1: She did. Now, she also had a very large Instagram

608
00:35:59,600 --> 00:36:03,520
Speaker 1: follow that she was documenting all of this horror, which

609
00:36:03,560 --> 00:36:06,840
Speaker 1: I thought was interesting. There were a lot of people

610
00:36:06,960 --> 00:36:12,560
Speaker 1: that would come to do altruistic things but also would

611
00:36:12,600 --> 00:36:16,000
Speaker 1: promote themselves at the same time, which I felt was

612
00:36:16,080 --> 00:36:20,040
Speaker 1: worth pointing out. But but a lot of people, you know,

613
00:36:20,200 --> 00:36:22,480
Speaker 1: they would look they would come with like basic stuff,

614
00:36:22,600 --> 00:36:28,040
Speaker 1: you know, water, food, socks, things like that, And yeah,

615
00:36:28,120 --> 00:36:30,239
Speaker 1: I mean I think, you know, after reporting on this

616
00:36:30,360 --> 00:36:34,080
Speaker 1: issue for so many years, I feel comfortable saying homelessness

617
00:36:34,239 --> 00:36:38,759
Speaker 1: is a big systemic problem in this country that requires

618
00:36:38,880 --> 00:36:42,480
Speaker 1: big systemic fixes, And so people will often ask me like, well,

619
00:36:42,520 --> 00:36:44,799
Speaker 1: what should I do as an individual? How can I help?

620
00:36:45,160 --> 00:36:48,480
Speaker 1: And I just tell them, you know, we'll think about,

621
00:36:48,719 --> 00:36:50,880
Speaker 1: like what what do you want to get out of

622
00:36:50,960 --> 00:36:53,759
Speaker 1: your helping? And you know, I don't think there's a

623
00:36:53,800 --> 00:36:56,120
Speaker 1: lot of ways to go wrong unless you're doing something

624
00:36:56,200 --> 00:37:00,879
Speaker 1: really destructive or or harmful. You know, I don't think

625
00:37:00,960 --> 00:37:04,640
Speaker 1: there's a bad way to get engaged because you're not

626
00:37:04,880 --> 00:37:07,200
Speaker 1: you know, you're certainly not going to solve this crisis

627
00:37:07,320 --> 00:37:10,680
Speaker 1: just on an individual level, right and you know, I

628
00:37:10,760 --> 00:37:12,919
Speaker 1: don't think you're probably going to make it worse either,

629
00:37:13,440 --> 00:37:15,479
Speaker 1: But if you I mean, yes, if you just start

630
00:37:15,520 --> 00:37:18,000
Speaker 1: with connecting with people on a human level, asking them

631
00:37:18,080 --> 00:37:20,520
Speaker 1: what they need, what they'd like, getting to know them,

632
00:37:21,000 --> 00:37:25,560
Speaker 1: that can become hugely, hugely impactful. If I mean, if

633
00:37:25,640 --> 00:37:28,560
Speaker 1: that's something you're comfortable doing and have the opportunity that

634
00:37:28,680 --> 00:37:32,040
Speaker 1: can be transformative in somebody's life, if you can just

635
00:37:32,719 --> 00:37:35,520
Speaker 1: be an advocate and an ally for that person, because

636
00:37:35,960 --> 00:37:39,160
Speaker 1: the system around helping them is very under resourced and

637
00:37:39,280 --> 00:37:42,279
Speaker 1: understaffed and so so that can be a big way

638
00:37:42,320 --> 00:37:46,120
Speaker 1: to start. So can I just quickly highlight the immense

639
00:37:46,200 --> 00:37:48,760
Speaker 1: wisdom and what you just said, which I just clicked

640
00:37:48,840 --> 00:37:51,680
Speaker 1: for me, which is like, when something is so complicated

641
00:37:51,719 --> 00:37:56,719
Speaker 1: and intractable, it actually means that basically everything is worth doing.

642
00:37:57,560 --> 00:38:00,680
Speaker 1: And I mean that's like I will carry that with

643
00:38:00,800 --> 00:38:03,240
Speaker 1: me going forward. I mean, it's such such a brilliant

644
00:38:03,320 --> 00:38:06,480
Speaker 1: articulation of how to approach these things. Yeah, and if

645
00:38:06,719 --> 00:38:09,279
Speaker 1: and it feels like a lot of the stuff that

646
00:38:09,400 --> 00:38:14,440
Speaker 1: seems intractable and you know systemic is also the result

647
00:38:14,520 --> 00:38:17,719
Speaker 1: of under resourcing. Like in this country, there's just a

648
00:38:17,840 --> 00:38:22,880
Speaker 1: lot of things that haven't been given the resources for

649
00:38:23,480 --> 00:38:28,440
Speaker 1: decades now that we're seeing the consequences of. Yeah, I mean,

650
00:38:28,480 --> 00:38:30,640
Speaker 1: I can you know, one example is just I mean,

651
00:38:31,040 --> 00:38:34,279
Speaker 1: the you know, the big underlying factor in places like

652
00:38:34,600 --> 00:38:37,000
Speaker 1: La New York City, San Francisco where we have these

653
00:38:37,280 --> 00:38:42,279
Speaker 1: large homelessness crises is housing affordability and housing availability. When

654
00:38:42,600 --> 00:38:45,719
Speaker 1: you don't have much of either one, people tend to

655
00:38:45,760 --> 00:38:48,080
Speaker 1: fall out of the housing market. That doesn't mean that

656
00:38:48,440 --> 00:38:52,480
Speaker 1: individuals who are experiencing homelessness don't have other issues going on.

657
00:38:52,680 --> 00:38:55,560
Speaker 1: Some of the time, you know, other than financial issues

658
00:38:55,719 --> 00:39:00,359
Speaker 1: or needing next month's rent. But that's the big underlying fact.

659
00:39:00,440 --> 00:39:02,080
Speaker 1: They all fell out of the housing market at some

660
00:39:02,200 --> 00:39:05,800
Speaker 1: point in time for all different kinds of reasons, and

661
00:39:06,000 --> 00:39:08,880
Speaker 1: it's very hard to get back in once that happens.

662
00:39:09,080 --> 00:39:12,160
Speaker 1: And then once you're on the street, the homelessness crisis

663
00:39:12,280 --> 00:39:14,920
Speaker 1: overlaps with all these other crises that we have. You know,

664
00:39:15,000 --> 00:39:17,839
Speaker 1: there are holes in our mental health care system. Meth

665
00:39:18,000 --> 00:39:20,480
Speaker 1: is ubiquitous on the streets of la because because it

666
00:39:20,560 --> 00:39:23,920
Speaker 1: is unbelievably cheap, and so I think sometimes people conflate

667
00:39:24,080 --> 00:39:28,640
Speaker 1: homelessness with mental health crisis or you know, drug crisis,

668
00:39:28,760 --> 00:39:31,000
Speaker 1: math crisis, but they are not one and the same

669
00:39:31,200 --> 00:39:32,880
Speaker 1: at all. And the big thing when it comes to

670
00:39:32,920 --> 00:39:38,680
Speaker 1: homelessness is housing affordability, housing availability, And one of the

671
00:39:38,800 --> 00:39:42,200
Speaker 1: things that really helped us reduce vetteran homelessness over the

672
00:39:42,280 --> 00:39:46,080
Speaker 1: last decade and a half was putting more resources into

673
00:39:46,680 --> 00:39:49,799
Speaker 1: essentially the veteran version of Section eight, which are these

674
00:39:49,840 --> 00:39:53,839
Speaker 1: are vouchers that provide rental subsidies for low income people.

675
00:39:53,920 --> 00:39:56,799
Speaker 1: So if you qualify, you get a voucher, you can

676
00:39:56,840 --> 00:39:59,600
Speaker 1: take it to a landlord, pay a percentage of your

677
00:39:59,640 --> 00:40:03,600
Speaker 1: income towards rent and the federal government will pay the rest. Now,

678
00:40:03,760 --> 00:40:06,440
Speaker 1: normal Section eight is very oversubscribed. If you want to

679
00:40:06,440 --> 00:40:09,040
Speaker 1: get a voucher, even if you qualify, your chances are

680
00:40:09,120 --> 00:40:13,120
Speaker 1: like one in four maybe nationally and less than that

681
00:40:13,239 --> 00:40:16,359
Speaker 1: in Los Angeles. There's a there's a huge waiting list.

682
00:40:16,440 --> 00:40:18,680
Speaker 1: It's it's really hard to get. If you're a veteran

683
00:40:18,760 --> 00:40:22,760
Speaker 1: who qualifies, you have a much higher chance of getting

684
00:40:22,800 --> 00:40:24,840
Speaker 1: one of these vouchers because they have their own pool,

685
00:40:25,480 --> 00:40:29,280
Speaker 1: which which Congress has has been more generous about funding.

686
00:40:29,440 --> 00:40:33,520
Speaker 1: And so those vouchers, paired with services provided through the

687
00:40:33,600 --> 00:40:37,240
Speaker 1: VA are really at the heart of a big push

688
00:40:37,719 --> 00:40:42,239
Speaker 1: that resulted in a huge decline nationally in veteran homelessness

689
00:40:42,960 --> 00:40:47,920
Speaker 1: of twenty ten. So yeah, now, fully funding Section eight

690
00:40:47,960 --> 00:40:52,680
Speaker 1: for everybody would be enormously expensive. It's not politically popular, right,

691
00:40:52,840 --> 00:40:57,040
Speaker 1: But that's like one example of a big system thing

692
00:40:57,160 --> 00:40:59,240
Speaker 1: that you know, we can look at something that worked

693
00:40:59,239 --> 00:41:01,680
Speaker 1: at least with this one group of people that's under

694
00:41:01,719 --> 00:41:06,640
Speaker 1: resourced when you're talking about the general population. Yeah, all right, well,

695
00:41:07,120 --> 00:41:09,640
Speaker 1: thank you so much for taking the time to talk

696
00:41:09,680 --> 00:41:13,200
Speaker 1: to us about it and for doing the reporting. Everybody

697
00:41:13,239 --> 00:41:16,839
Speaker 1: should go check out the show, City of Tents Veterans Row,

698
00:41:17,239 --> 00:41:20,279
Speaker 1: Let's take a quick break, we'll come back and talk

699
00:41:20,280 --> 00:41:33,719
Speaker 1: about some other stuff. We'll be right back, and we're back,

700
00:41:34,120 --> 00:41:37,400
Speaker 1: and we'll probably were the Trump thing. I think we

701
00:41:37,480 --> 00:41:40,800
Speaker 1: all know. Trump claimed these going to be arrested probably

702
00:41:40,960 --> 00:41:43,919
Speaker 1: today and has called for supporters to protest. We talked

703
00:41:43,920 --> 00:41:47,560
Speaker 1: about it on yesterday's Trending. We'll have more updates on

704
00:41:48,120 --> 00:41:51,240
Speaker 1: this afternoon's trending. So Jack, it's almost like it's almost

705
00:41:51,239 --> 00:41:54,160
Speaker 1: like Schrodinger's podcast, Like, right, if the fact that people

706
00:41:54,200 --> 00:41:57,839
Speaker 1: are hearing this means that things didn't melt down, right,

707
00:41:58,239 --> 00:42:02,000
Speaker 1: because if they're truly westcast probably do an emergency episode. Yes,

708
00:42:02,360 --> 00:42:05,320
Speaker 1: of course, all right, but uh, for the rest of

709
00:42:05,360 --> 00:42:08,320
Speaker 1: the episode, I wanted to just run down. Did you

710
00:42:08,400 --> 00:42:11,239
Speaker 1: guys see the article in New York Magazine that was

711
00:42:11,280 --> 00:42:14,520
Speaker 1: like the new rules for social Etiquette. It's this like

712
00:42:14,680 --> 00:42:19,040
Speaker 1: grandiose project. It's got hundreds of rules. They are real

713
00:42:19,560 --> 00:42:22,640
Speaker 1: hit or miss, and we've just been kind of checking

714
00:42:22,719 --> 00:42:25,920
Speaker 1: in with the list and talking to our guest co

715
00:42:26,080 --> 00:42:29,760
Speaker 1: hosts and guests about about their thoughts on on these things.

716
00:42:29,960 --> 00:42:33,520
Speaker 1: I think there are a few that we feel like

717
00:42:33,640 --> 00:42:37,040
Speaker 1: could be canon like should be things that we adopt

718
00:42:37,120 --> 00:42:41,080
Speaker 1: into our social etiquette, like never tell someone who they

719
00:42:41,200 --> 00:42:49,320
Speaker 1: look like, yeah, oh yes, it never goes goes like

720
00:42:49,440 --> 00:42:53,319
Speaker 1: Miranda July. And I find it really annoying. Yeah, it's

721
00:42:53,719 --> 00:42:56,920
Speaker 1: nobody ever likes to hear that. I think that someone

722
00:42:57,120 --> 00:42:58,959
Speaker 1: is the key word there, which is like, this isn't

723
00:42:59,000 --> 00:43:02,560
Speaker 1: like fodder for small talk with a stranger. I think

724
00:43:02,640 --> 00:43:04,520
Speaker 1: like if you're a friend, you know, I had a

725
00:43:04,560 --> 00:43:06,319
Speaker 1: friend for a while and like, I mean a good

726
00:43:06,320 --> 00:43:09,600
Speaker 1: friend of mine actually texted me today and said what

727
00:43:09,840 --> 00:43:12,000
Speaker 1: he said. I wish I had better news to share,

728
00:43:12,480 --> 00:43:16,320
Speaker 1: but the far right Israeli finance minister is in the

729
00:43:16,400 --> 00:43:18,560
Speaker 1: news for all the wrong reasons and he looks like

730
00:43:18,640 --> 00:43:21,879
Speaker 1: a bizarre, evil version of you. Yes, and I coming

731
00:43:21,920 --> 00:43:24,000
Speaker 1: from a long time friend, I'm happy to hear that,

732
00:43:24,120 --> 00:43:25,839
Speaker 1: but I don't want to hear that from someone who

733
00:43:25,880 --> 00:43:28,760
Speaker 1: at no. And I always run it through the filter,

734
00:43:29,040 --> 00:43:32,279
Speaker 1: like if it's a famous person, it's like, Okay, what

735
00:43:32,400 --> 00:43:35,520
Speaker 1: you're really saying is that I look like this person's

736
00:43:35,560 --> 00:43:41,000
Speaker 1: less hot cousin. Let's be honest. It's like it's just

737
00:43:41,200 --> 00:43:44,360
Speaker 1: never good. It's one more thing on this. I know

738
00:43:44,600 --> 00:43:46,399
Speaker 1: this when you were doing this as a throwaway check.

739
00:43:46,640 --> 00:43:48,560
Speaker 1: But but one more thing about this, which is I

740
00:43:48,640 --> 00:43:51,279
Speaker 1: think so many of these pieces of etiquette sort of

741
00:43:51,320 --> 00:43:54,080
Speaker 1: have this through line, which is like, don't do stuff

742
00:43:54,120 --> 00:43:57,320
Speaker 1: that doesn't set someone else some set someone up to

743
00:43:57,520 --> 00:44:00,320
Speaker 1: like respond in a productive way, like you know, and

744
00:44:00,440 --> 00:44:02,520
Speaker 1: a lot and like that, just telling someone who they

745
00:44:02,560 --> 00:44:04,719
Speaker 1: look like, it's like, what am I supposed to know?

746
00:44:05,960 --> 00:44:08,920
Speaker 1: There's no yes and to that right, yeah, okay, And

747
00:44:09,000 --> 00:44:10,839
Speaker 1: a lot of the piece of advice kind of fall

748
00:44:10,840 --> 00:44:13,319
Speaker 1: into that category, just like don't say something where think

749
00:44:13,320 --> 00:44:16,680
Speaker 1: about think about someone's response when you say something and

750
00:44:16,760 --> 00:44:18,160
Speaker 1: whether they're going to be able to kind of pick

751
00:44:18,160 --> 00:44:21,480
Speaker 1: it up and totally Yeah. Another one that I think

752
00:44:21,760 --> 00:44:25,839
Speaker 1: is probably solid for everybody to adopt is actually, it's

753
00:44:25,880 --> 00:44:27,800
Speaker 1: great to talk about the weather. There was like this

754
00:44:28,360 --> 00:44:31,719
Speaker 1: unofficial agreement in the nineties. I think like there were

755
00:44:31,800 --> 00:44:34,040
Speaker 1: stand up comedy bits it was like, don't talk about

756
00:44:34,040 --> 00:44:35,759
Speaker 1: the weather. It's boring. What are you a fifty year

757
00:44:35,760 --> 00:44:40,320
Speaker 1: old man? And it's but we live in strange times.

758
00:44:40,480 --> 00:44:45,320
Speaker 1: The weather is something that should be fine to talk about,

759
00:44:45,719 --> 00:44:47,560
Speaker 1: all right, whether in the sports. So the only two

760
00:44:47,600 --> 00:44:49,480
Speaker 1: things left, yeah, just kind of you start this whole

761
00:44:49,480 --> 00:44:53,080
Speaker 1: conversation talking about the weather. Yeah, yeah, and that's what

762
00:44:53,239 --> 00:44:57,600
Speaker 1: I was using. This list just got exactly all right,

763
00:44:57,800 --> 00:45:01,040
Speaker 1: here's something for discussion. You get can stop me when

764
00:45:01,080 --> 00:45:03,239
Speaker 1: you hear one, but that you have some thoughts on

765
00:45:03,320 --> 00:45:06,000
Speaker 1: you want. Bobby de Niro may go way back, but

766
00:45:06,120 --> 00:45:09,120
Speaker 1: to everyone else, he's Robert. This is aimed at a

767
00:45:09,640 --> 00:45:13,080
Speaker 1: very specific like. So one of the overall notes I

768
00:45:13,200 --> 00:45:15,840
Speaker 1: have on this list is like, the very first item

769
00:45:15,960 --> 00:45:18,840
Speaker 1: is like you don't have to read all your friends books,

770
00:45:19,080 --> 00:45:21,480
Speaker 1: and it's like, well, that's like for a very specific

771
00:45:21,640 --> 00:45:31,920
Speaker 1: group of people are constantly yeah. But so on this one,

772
00:45:31,960 --> 00:45:35,880
Speaker 1: it's like their writing specifically to famous people who drop

773
00:45:36,200 --> 00:45:39,120
Speaker 1: the nicknames or people who are you know, in the

774
00:45:39,320 --> 00:45:43,120
Speaker 1: orbit of famous people. This like, I think it's hilarious

775
00:45:43,200 --> 00:45:46,600
Speaker 1: when famous people do this. I it also feels like

776
00:45:46,880 --> 00:45:49,480
Speaker 1: doing it must be the greatest feeling in the world

777
00:45:49,680 --> 00:45:52,560
Speaker 1: because of how ridiculous it makes them look and how

778
00:45:52,680 --> 00:45:55,640
Speaker 1: hard they insist on doing it every time. So it's like,

779
00:45:55,760 --> 00:45:58,160
Speaker 1: I don't I don't feel like I can make a

780
00:45:58,640 --> 00:46:03,120
Speaker 1: full hard judgment on this one because I don't know

781
00:46:03,360 --> 00:46:08,200
Speaker 1: any famous person well enough to try this shit. But man,

782
00:46:08,360 --> 00:46:10,640
Speaker 1: they really seem to like it. Yeah, but I mean,

783
00:46:10,719 --> 00:46:12,640
Speaker 1: but you're saying when you hear an actor refer to

784
00:46:13,760 --> 00:46:16,560
Speaker 1: and all my examples are basically any people in the

785
00:46:16,640 --> 00:46:19,719
Speaker 1: good felt anyway or any halfway right or like or

786
00:46:19,800 --> 00:46:21,960
Speaker 1: Marty Scoressy Marty. I feel like it's the way you

787
00:46:22,040 --> 00:46:24,640
Speaker 1: hear all the time. But if it's someone who's worked

788
00:46:24,640 --> 00:46:26,520
Speaker 1: with them and it's famous and like that's what they

789
00:46:26,560 --> 00:46:28,400
Speaker 1: get caught on set, then you're okay with that. But

790
00:46:28,520 --> 00:46:33,560
Speaker 1: if it's like me, I happen to have seen them

791
00:46:33,719 --> 00:46:36,040
Speaker 1: at a bar or even like sat next to them

792
00:46:36,080 --> 00:46:38,799
Speaker 1: at a random dinner, I can't. I can't switch over

793
00:46:38,880 --> 00:46:41,399
Speaker 1: to Marty. And I'm fine with it. Oh, I'm fine

794
00:46:41,480 --> 00:46:43,839
Speaker 1: with it across the board. I think it. I think

795
00:46:43,840 --> 00:46:48,759
Speaker 1: you should be willing to accept the consequences of your

796
00:46:48,800 --> 00:46:53,719
Speaker 1: actions when you do that, but I don't. I'm just like,

797
00:46:54,280 --> 00:46:57,000
Speaker 1: that's a that is a choice, but it's a choice

798
00:46:57,040 --> 00:46:59,920
Speaker 1: that I'm glad people are out there making. It doesn't

799
00:47:00,040 --> 00:47:03,480
Speaker 1: necessarily endear me to those people, but I don't think

800
00:47:03,600 --> 00:47:07,120
Speaker 1: that's their goal either, right, Well, yeah, it must be

801
00:47:07,280 --> 00:47:09,640
Speaker 1: kind of an awkward thing too. Like let's say you're

802
00:47:09,640 --> 00:47:11,400
Speaker 1: a celebrity that's worked with one of these people. You're

803
00:47:11,440 --> 00:47:13,640
Speaker 1: doing an interview and you want to say something about

804
00:47:13,719 --> 00:47:16,160
Speaker 1: Robert de Niro, but you know him as Bobby, Like,

805
00:47:16,360 --> 00:47:20,640
Speaker 1: it probably feels just even more pretentious to say his

806
00:47:20,760 --> 00:47:22,880
Speaker 1: full name if you actually know this person and have

807
00:47:23,320 --> 00:47:26,000
Speaker 1: worked with them. Well, me and Robert de Niro, you know,

808
00:47:26,480 --> 00:47:28,400
Speaker 1: there's I mean, I kind of have some empathy for

809
00:47:28,480 --> 00:47:30,399
Speaker 1: the celebrities on this one. I don't know. I don't

810
00:47:30,600 --> 00:47:34,760
Speaker 1: I recently had a sort of like inverse name dropping

811
00:47:35,040 --> 00:47:39,440
Speaker 1: awkward experience where someone was talking to me about their

812
00:47:39,560 --> 00:47:43,440
Speaker 1: friend Greta for like a long time, yes, and then

813
00:47:43,520 --> 00:47:46,360
Speaker 1: through context clues, I realized that it was Greta Gerwig

814
00:47:47,120 --> 00:47:50,160
Speaker 1: and they were talking like about my friend Greta's movie

815
00:47:50,280 --> 00:47:52,719
Speaker 1: and like going to that and and I was just like,

816
00:47:53,280 --> 00:47:55,239
Speaker 1: just you should have just drop that name from the

817
00:47:55,320 --> 00:47:57,560
Speaker 1: beginning and just owned it rather than trying to like

818
00:47:57,640 --> 00:48:00,560
Speaker 1: overcorrect for not being a name dropper. But it's tough.

819
00:48:00,719 --> 00:48:07,000
Speaker 1: This stuff is tough. Total, it is very high. It's

820
00:48:07,120 --> 00:48:09,200
Speaker 1: up there with not not reading your friends. But we're

821
00:48:09,200 --> 00:48:11,880
Speaker 1: on a podcast dissecting a list from New York Magazine.

822
00:48:11,960 --> 00:48:14,000
Speaker 1: Let's just just be up front about the air in

823
00:48:14,120 --> 00:48:18,399
Speaker 1: which we are operating here I had we we had

824
00:48:18,520 --> 00:48:22,600
Speaker 1: Robert Or, the famous NBA basketball player on our NBA show,

825
00:48:22,920 --> 00:48:25,160
Speaker 1: and I just called him Robert Or the whole time.

826
00:48:25,320 --> 00:48:29,799
Speaker 1: I was like, well, thank you, yeah. But I think

827
00:48:29,880 --> 00:48:32,480
Speaker 1: that's also you could also steer really hard into that

828
00:48:32,640 --> 00:48:36,400
Speaker 1: and just anytime you're referring to your friend Bobby, you

829
00:48:36,480 --> 00:48:38,719
Speaker 1: just say Robert didn't here. Get it all out there,

830
00:48:38,800 --> 00:48:41,040
Speaker 1: all the way out there, all right. Some others never

831
00:48:41,120 --> 00:48:46,480
Speaker 1: send an edible arrangement. What they're great, They're great. Fine. Um,

832
00:48:47,239 --> 00:48:50,040
Speaker 1: I don't think that this is a a hard rule.

833
00:48:50,320 --> 00:48:53,000
Speaker 1: This is not a never. Don't use your friends as

834
00:48:53,080 --> 00:48:56,040
Speaker 1: for play is is another one of the ones where

835
00:48:56,560 --> 00:48:59,280
Speaker 1: I felt like I was learning a lot about whoever

836
00:48:59,440 --> 00:49:02,400
Speaker 1: wrote this. What does that mean? So that's what it

837
00:49:02,520 --> 00:49:06,040
Speaker 1: then goes into like a discussion of like friends fighting

838
00:49:06,320 --> 00:49:10,520
Speaker 1: in front of their friends, and like I don't know,

839
00:49:10,800 --> 00:49:18,080
Speaker 1: like I had no real world experience to like put

840
00:49:18,160 --> 00:49:22,000
Speaker 1: it onto. I guess like the the assumption is that

841
00:49:22,120 --> 00:49:25,560
Speaker 1: their friends get horny from fighting with each other in

842
00:49:25,719 --> 00:49:31,800
Speaker 1: front of them, and that is so somehow, I don't know.

843
00:49:32,120 --> 00:49:34,560
Speaker 1: My man thought is like you got you sick little

844
00:49:34,600 --> 00:49:41,600
Speaker 1: friends of nested pathology, and yet stop using me to

845
00:49:41,719 --> 00:49:44,359
Speaker 1: get horny by yelling at each other when you got

846
00:49:44,480 --> 00:49:47,880
Speaker 1: to dinner with me and my wife. I don't know,

847
00:49:48,280 --> 00:49:50,520
Speaker 1: it sounds like I'm just trying to I'm just trying

848
00:49:50,520 --> 00:49:52,480
Speaker 1: to have a dinner and with my friends argue in

849
00:49:52,560 --> 00:49:55,320
Speaker 1: front of me without it being sexual. Can you just

850
00:49:55,680 --> 00:49:58,759
Speaker 1: can you just argue please and make this a normal

851
00:49:58,800 --> 00:50:01,560
Speaker 1: dinner where my friends to argue in front of me. Yeah.

852
00:50:01,920 --> 00:50:05,640
Speaker 1: The other example of like huh for for me was

853
00:50:06,239 --> 00:50:11,400
Speaker 1: always wink, always wink. It's just one of the rules.

854
00:50:11,880 --> 00:50:14,960
Speaker 1: No explanation, right. I love that rule. I can tell

855
00:50:14,960 --> 00:50:16,480
Speaker 1: you a story about a buddy of mine who was

856
00:50:16,520 --> 00:50:18,560
Speaker 1: applying for a job at home depot when he was

857
00:50:19,000 --> 00:50:21,439
Speaker 1: a sophomore in college, maybe junior or a sophomore high school,

858
00:50:21,440 --> 00:50:23,440
Speaker 1: maybe junior in high school. And he's going through the

859
00:50:23,520 --> 00:50:26,520
Speaker 1: interview and he's like super nervous, first ever job, and

860
00:50:26,680 --> 00:50:29,640
Speaker 1: the like, you know, the shift manager at home depots

861
00:50:29,680 --> 00:50:31,840
Speaker 1: like being a kind of like big timing him. You know,

862
00:50:31,960 --> 00:50:34,400
Speaker 1: during this interview, he's peppering him with questions, asking all

863
00:50:34,440 --> 00:50:36,320
Speaker 1: his questions, and you know, my my buddy's trying to

864
00:50:36,320 --> 00:50:38,640
Speaker 1: answer be earnest and so forth, and then like three

865
00:50:38,719 --> 00:50:40,800
Speaker 1: cours the way through the interview, he just there. He

866
00:50:40,880 --> 00:50:43,799
Speaker 1: looks at my buddy and goes, stop winking at me, son,

867
00:50:44,600 --> 00:50:48,120
Speaker 1: and my friend just goes okay, but like he hadn't

868
00:50:48,120 --> 00:50:51,080
Speaker 1: been winking at him. It wasn't trying to just thrown off,

869
00:50:51,160 --> 00:50:53,400
Speaker 1: and he didn't. He couldn't. He couldn't bring himself like

870
00:50:53,520 --> 00:50:55,719
Speaker 1: question the premise uh and be like no, what are

871
00:50:55,719 --> 00:50:57,600
Speaker 1: you talking about? Or I'm not He was just like okay,

872
00:50:57,840 --> 00:51:00,279
Speaker 1: and he continued that's like one of those Google mind

873
00:51:00,320 --> 00:51:03,600
Speaker 1: fuck interview questions, where all right, at this point we

874
00:51:04,239 --> 00:51:08,719
Speaker 1: accuse you, accuse the attendee the interviewe of winking at

875
00:51:08,800 --> 00:51:13,080
Speaker 1: us and see how they respond. You can calcely cancel

876
00:51:13,600 --> 00:51:19,239
Speaker 1: almost any plans up until two pm. Specific I don't

877
00:51:19,280 --> 00:51:22,520
Speaker 1: know sure, I'm fine with canceling plans. So yeah, I

878
00:51:22,760 --> 00:51:24,360
Speaker 1: won't be mad at you if you cancel plans with

879
00:51:24,440 --> 00:51:27,560
Speaker 1: me in the world I know, truly, like, oh no,

880
00:51:28,239 --> 00:51:32,160
Speaker 1: unless the plans are two thirty or something right right, yeah, exactly.

881
00:51:32,600 --> 00:51:35,080
Speaker 1: And then this one. If your friend is dating someone

882
00:51:35,200 --> 00:51:38,359
Speaker 1: you seriously object to, you have one chance to sit

883
00:51:38,480 --> 00:51:41,879
Speaker 1: them down and tell them. This seems like genuinely bad

884
00:51:41,920 --> 00:51:45,879
Speaker 1: advice because it feels like that like, I can't see

885
00:51:45,960 --> 00:51:48,960
Speaker 1: how this would be true for purposes other than like

886
00:51:49,120 --> 00:51:53,839
Speaker 1: you are writing as rom com screenplay and like you're

887
00:51:53,960 --> 00:51:57,759
Speaker 1: just adding like I understand the overall gist of it is,

888
00:51:57,800 --> 00:52:01,000
Speaker 1: like you don't want to just keep hammering that with criticisms,

889
00:52:01,040 --> 00:52:03,520
Speaker 1: and like you want to do it in a targeted,

890
00:52:04,040 --> 00:52:07,880
Speaker 1: thoughtful way. But at the same time, like being like

891
00:52:08,040 --> 00:52:10,600
Speaker 1: you only got one chance and once you do it,

892
00:52:10,800 --> 00:52:13,640
Speaker 1: it's over and you have to live with the decision

893
00:52:13,760 --> 00:52:18,839
Speaker 1: that you've made just feels like artificial and like they

894
00:52:18,920 --> 00:52:22,120
Speaker 1: wanted to they needed to fill an article full of rules.

895
00:52:22,760 --> 00:52:26,239
Speaker 1: Sounds very arbitrary. I mean, yeah, I'm more of the

896
00:52:26,320 --> 00:52:31,600
Speaker 1: mindset that unless someone asks, I'm not gonna just set

897
00:52:31,680 --> 00:52:34,160
Speaker 1: them down and tell them my opinion. But it also

898
00:52:34,239 --> 00:52:36,120
Speaker 1: depends on why you object to the person. I mean,

899
00:52:36,200 --> 00:52:39,560
Speaker 1: if you know something egregious about this person, or you

900
00:52:39,680 --> 00:52:43,920
Speaker 1: know or they're engaged in really abusive behavior or something

901
00:52:44,040 --> 00:52:46,320
Speaker 1: like that, then maybe it's appropriate. But if it's just

902
00:52:46,400 --> 00:52:48,240
Speaker 1: kind of run of the mill I don't like this person,

903
00:52:48,360 --> 00:52:50,960
Speaker 1: then I don't. I don't see any need to have

904
00:52:51,040 --> 00:52:54,239
Speaker 1: a sit down. I'm yeah, I'm not objecting to this

905
00:52:54,360 --> 00:52:57,920
Speaker 1: based on me wanting to have the conversation, Like I

906
00:52:58,960 --> 00:53:02,080
Speaker 1: do not like conversations like this. I'm not going to

907
00:53:02,160 --> 00:53:04,320
Speaker 1: be the person who's like keeps bringing this up. But

908
00:53:04,400 --> 00:53:07,880
Speaker 1: it just it does feel like sometimes you just gotta

909
00:53:08,200 --> 00:53:10,440
Speaker 1: help your friend, like you have to. Sounds like you're

910
00:53:10,440 --> 00:53:13,400
Speaker 1: trying to like universalize something and make it rule about

911
00:53:13,440 --> 00:53:18,200
Speaker 1: something that's kind of just very dependent on the situation. Yeah. Look,

912
00:53:18,239 --> 00:53:20,520
Speaker 1: I know this is the second time we've talked about this,

913
00:53:20,640 --> 00:53:23,200
Speaker 1: but I need you and your wife to stop trying

914
00:53:23,239 --> 00:53:27,719
Speaker 1: to get horny by arguing in front of me. I mean,

915
00:53:28,320 --> 00:53:29,799
Speaker 1: you know, to your to your point, and I mean,

916
00:53:29,800 --> 00:53:32,600
Speaker 1: I you know, that is the exercise I think. And

917
00:53:32,640 --> 00:53:34,640
Speaker 1: they're very like upfront. And that's why I loved this

918
00:53:34,840 --> 00:53:37,120
Speaker 1: list is they're just gonna, you know, we're gonna just

919
00:53:37,280 --> 00:53:41,880
Speaker 1: throw a bunch of very specific and sometimes very outrageous

920
00:53:41,920 --> 00:53:43,840
Speaker 1: things out there and let the internet talk about it.

921
00:53:43,920 --> 00:53:46,480
Speaker 1: And yeah, it's certainly, but but I respect that it

922
00:53:46,560 --> 00:53:49,239
Speaker 1: felt like a felt like a very ten years ago

923
00:53:49,360 --> 00:53:55,840
Speaker 1: kind of project. Yeah, absolutely, and it worked. And all right, well, Anna,

924
00:53:57,000 --> 00:53:58,960
Speaker 1: such a pleasure having you on the show. Where can

925
00:53:59,040 --> 00:54:01,879
Speaker 1: people find you? Follow you all that good stuff? Thank

926
00:54:01,960 --> 00:54:05,800
Speaker 1: you for having me I'm on Twitter at Anna Scott

927
00:54:06,400 --> 00:54:11,359
Speaker 1: journal for Journalist and you can find my podcast City

928
00:54:11,400 --> 00:54:19,200
Speaker 1: of Tense, Colon Veterans Real anywhere all the usual places Apple, Spotify, Stitcher, etc. Yeah. Yeah,

929
00:54:19,760 --> 00:54:21,680
Speaker 1: and that's a great one. Go check it out. Everyone.

930
00:54:22,280 --> 00:54:24,480
Speaker 1: Is there a tweet or a work of media that

931
00:54:24,560 --> 00:54:27,320
Speaker 1: you've been enjoying. I will say there's a work of

932
00:54:27,440 --> 00:54:31,120
Speaker 1: media that I'm really looking forward to enjoying because I've

933
00:54:31,160 --> 00:54:33,440
Speaker 1: been listening to a ton of podcasts in you know,

934
00:54:33,719 --> 00:54:35,680
Speaker 1: working on one, I want to get inspiration from other

935
00:54:35,760 --> 00:54:38,840
Speaker 1: good ones. And I see that The Atlantic has a

936
00:54:38,920 --> 00:54:41,120
Speaker 1: new one hosted by Van new Kirk, who and they

937
00:54:41,200 --> 00:54:46,360
Speaker 1: did the amazing Floodlines podcast some years ago about Hurricane Katrina.

938
00:54:46,400 --> 00:54:49,719
Speaker 1: And they have another one called Holy Week, which also

939
00:54:49,800 --> 00:54:53,400
Speaker 1: takes a historic event and puts new eyes on it.

940
00:54:53,520 --> 00:54:56,000
Speaker 1: And I'm super excited about it. So I don't they

941
00:54:56,000 --> 00:54:59,879
Speaker 1: don't need my help promoting it, but I just feel like, yeah,

942
00:55:00,000 --> 00:55:02,799
Speaker 1: I'm so excited about it that I'm just talking about

943
00:55:02,840 --> 00:55:06,759
Speaker 1: it everywhere. Amazing Jody, Such a pleasure having you as

944
00:55:06,800 --> 00:55:09,279
Speaker 1: always where can people find you? And as their work

945
00:55:09,320 --> 00:55:12,239
Speaker 1: of media you've been enjoying. I'll mostly plug this new

946
00:55:12,320 --> 00:55:15,200
Speaker 1: series that's coming out right now called good Sport, which

947
00:55:15,320 --> 00:55:19,399
Speaker 1: is an eight episode series about sports, but not really

948
00:55:19,560 --> 00:55:22,280
Speaker 1: mostly about kind of how sports can help us understand

949
00:55:22,320 --> 00:55:24,880
Speaker 1: some bigger things. And it's wherever you get your podcast,

950
00:55:24,960 --> 00:55:27,680
Speaker 1: good Sport. But I'm very happy with them, how it's

951
00:55:27,719 --> 00:55:29,960
Speaker 1: coming out and the reception it's gotten so far, so yeah,

952
00:55:30,040 --> 00:55:33,640
Speaker 1: go ahead and check that out. And then in terms

953
00:55:33,680 --> 00:55:36,319
Speaker 1: of media, well, mine is sort of nested. So I've

954
00:55:36,360 --> 00:55:41,400
Speaker 1: been really really just like binging this podcast called The

955
00:55:41,480 --> 00:55:45,920
Speaker 1: Restless History NonStop, which is you know, two historians, British historians,

956
00:55:45,960 --> 00:55:48,479
Speaker 1: and they just sort of go deep on history. It's nothing,

957
00:55:48,920 --> 00:55:51,680
Speaker 1: nothing mind blowing about the format, but it's just really

958
00:55:51,880 --> 00:55:55,080
Speaker 1: good chemistry and really sort of thoughtful and funny. But

959
00:55:55,320 --> 00:55:58,279
Speaker 1: they did a series on the Rise of Hitler and

960
00:55:58,320 --> 00:56:01,359
Speaker 1: the rise of the Nazis, and in that they kind

961
00:56:01,360 --> 00:56:04,120
Speaker 1: of shouted out a number of times a Netflix series

962
00:56:04,200 --> 00:56:08,040
Speaker 1: called Berlin Babylon, which is set in like thirties and

963
00:56:08,160 --> 00:56:11,840
Speaker 1: early forties Berlin. And so now I've jumped from the

964
00:56:11,880 --> 00:56:16,040
Speaker 1: podcast to this recommendation to this Netflix series Berlin Babylon,

965
00:56:16,080 --> 00:56:18,520
Speaker 1: which is a docu series or no, it's it's it's

966
00:56:18,560 --> 00:56:21,759
Speaker 1: a scripted series. Yeah, and it's it's fantastic. It means

967
00:56:21,840 --> 00:56:25,400
Speaker 1: really good. It's German, but it's you know, it's really good, awesome.

968
00:56:26,000 --> 00:56:28,400
Speaker 1: You can find me on Twitter at Jack Underscore. O'Brien,

969
00:56:29,520 --> 00:56:33,279
Speaker 1: I'm still out here. Like in tweets Like three years ago,

970
00:56:33,920 --> 00:56:36,759
Speaker 1: trash Jones tweeted, if at first you don't succeed, think

971
00:56:36,760 --> 00:56:38,399
Speaker 1: about it for the rest of your life when you're

972
00:56:38,440 --> 00:56:41,120
Speaker 1: trying to fall asleep. You can find us on Twitter

973
00:56:41,160 --> 00:56:44,080
Speaker 1: at daily Zeitgeist. We're at the Daily Zegeist on Instagram.

974
00:56:44,360 --> 00:56:46,480
Speaker 1: We have a Facebook fan page on a website, daily

975
00:56:46,640 --> 00:56:49,040
Speaker 1: zeitgeist dot com, where we post our episodes and our

976
00:56:49,120 --> 00:56:51,520
Speaker 1: footnotes where we link off to the information that we

977
00:56:51,600 --> 00:56:54,919
Speaker 1: talked about in today's episode, as well as a song

978
00:56:55,120 --> 00:56:59,040
Speaker 1: that we think you might enjoy. Superproducer Justin Connor, what

979
00:56:59,239 --> 00:57:01,680
Speaker 1: is a song you think people might addressed? So I'm

980
00:57:01,680 --> 00:57:03,239
Speaker 1: not going to be here tomorrow, so it's up to

981
00:57:03,560 --> 00:57:06,120
Speaker 1: Jack or Brian or whoever takes over for me to

982
00:57:06,239 --> 00:57:08,880
Speaker 1: continue the string of hits that have been coming. The

983
00:57:09,000 --> 00:57:12,200
Speaker 1: pressure is on. But this track is by a composer,

984
00:57:12,400 --> 00:57:16,320
Speaker 1: singer and multi instrumentalist from Toronto who goes by the

985
00:57:16,440 --> 00:57:20,040
Speaker 1: name River Tiber. This guy can really sing and lay

986
00:57:20,120 --> 00:57:23,320
Speaker 1: down some interesting harmonies. The beat was made by Katrinada,

987
00:57:23,360 --> 00:57:25,280
Speaker 1: who I love. I'm a huge fan of his work,

988
00:57:25,560 --> 00:57:28,200
Speaker 1: but this one is an underrated top five for me.

989
00:57:28,600 --> 00:57:31,280
Speaker 1: So this song is Gravity by River Tiber and you

990
00:57:31,320 --> 00:57:34,560
Speaker 1: can find that song in the footnotes footnotes. The Daily

991
00:57:34,680 --> 00:57:37,000
Speaker 1: zeit Geis is a production of iHeartRadio. For more podcast

992
00:57:37,040 --> 00:57:39,800
Speaker 1: from my heart Radio, visit the iHeartRadio app, Apple podcast,

993
00:57:39,960 --> 00:57:42,160
Speaker 1: or wherever you listen to your favorite shows. Up going

994
00:57:42,200 --> 00:57:44,640
Speaker 1: to do it for us this morning back this afternoon

995
00:57:44,720 --> 00:57:47,040
Speaker 1: to tell you what is trending and we'll touchy all

996
00:57:47,080 --> 00:57:47,720
Speaker 1: the ye