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POD: A simple, seductive narrative
Episode 3527th June 2025 • RANGE • Range
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This week, Erin and Aaron talk about Erin’s deeply-reported story on a study that implied most unhoused people living on the streets of Spokane shouldn’t be here, and why we need to push back on narratives that undermine community care.

Read the full analysis here.

Transcripts

Speaker:

There's a simple story that

we're all used to hearing.

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There are people who aren't from here.

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They're taking our resources, and if we

just send them back where they came from,

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everything would be so much better here.

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That narrative is really comfortable

and seductive in some ways, and it's

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also the narrative at the heart of a

recent study by the Spokane Business

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Association that made claims around

how many people in Spokane are

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homeless and are actually from Spokane.

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A lot of news outlets in town reported

on this study and just blanket put

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the claims in their headlines with no

critical analysis of the study whatsoever.

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But not free range.

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We've got all the analysis

that you could want and more.

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So sit back, relax, and let's talk data.

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This is Free Range, a co-production

of KYRS and Range Media.

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I'm Aaron Hedge.

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I'm Aaron Sellers and the Aaron team.

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The dream team really, right.

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I'm making little heart hands.

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You can't see them, but I am.

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We're here today.

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Uh, uh, Luke and Val are out today.

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And we are here to talk about a really

important study about a study that

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was commissioned by a local business

association that says a lot of things

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about the local homelessness community.

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, It sure says a lot of things.

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That's right.

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And we're here to 'cause,

'cause Aaron has been.

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Obsessing of this story since,

uh, they were in New Orleans last

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week for an investigative editor

report as an editor's conference.

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Kind of a national like

investigative journalism conference

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when this study came out.

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And we're very interested

in breaking this down.

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Aaron has a story coming out

possibly this evening, question Mark,

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mark, possibly tomorrow morning.

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We're not exactly sure.

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It depends on the editing process.

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They've done, they've gone gangbusters

on the research on this story.

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Um, and yeah, we wanted to break

it down because we, we feel like

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at range that there's been some

coverage that's been really credulous

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of this story or, or of the study.

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And so, um, yeah, I guess, uh.

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Maybe we can just start out with

the scene, Aaron, and, and you,

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you, you had a heads up that the

story was coming was, was coming.

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You, you had talked to the

Spokane Business Association's

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leader, Gavin Cooley.

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Is he, is he, what's his title there?

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I can't remember.

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Well, he used to be the CEO,

but now I think he's like the

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strategic initiatives manager.

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Okay.

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But he's a, he's a kind of a higher up.

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He's, he's, he has a lot of

influence there and, um, I think

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there's only two employees, so yeah.

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Oh, wow.

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Okay.

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But yes.

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Can you talk about, just, just tell me

the scene where you, where you kind of

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like learned that the study had been

published and, um, and what the, what

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your initial reactions to it were.

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And what does it basically say?

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Let's, let's, let's start with

just like some table stakes.

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Yeah.

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Okay.

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So I was in New Orleans.

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I'm relaxing in my cold hotel room

because it's like so hot there,

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so sweaty, so hot heat dome,

heat dome season in New Orleans.

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And I, despite being off work, I like

to stay caught up on what's happening.

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So I check, you know, the headlines.

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I check the, the, the news

stations and I see a headline.

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Studies reveal over half of unhoused

move to Spokane after losing housing.

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And I realize that SBA a's study has been

published, I click open the story and it

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does a and, and who, who, who is the or

original, like publisher of this thing.

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Like that.

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Headline, what was the news

source was from Fox 28 and

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KHQ, both published the same.

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So TV news station, a TV news

station, and I click it open and

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it's just blanket reporting The

findings of this study, 50.2%

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of people aren't from

Spokane or first experienced

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homelessness outside of Spokane.

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It's just parroting the top

level findings from this study.

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Right.

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And I know about this study 'cause

a few months ago I got an email

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from service providers who sent me

a list of the questions that the

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SBA intended to ask on this survey.

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And they also sent me information

about the person conducting

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the survey, who is Dr.

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Robert Marbut.

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He was formerly called Trump's

Homelessness Czar back in Trump's

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first term, which meant he was

in charge of shaping and guiding

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a lot of the homelessness policy

coming outta the federal government

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during Trump's first term.

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This guy's also kind of made a name

for himself across the country.

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Uh, he does studies for local

governments or business interest groups.

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And I get the questions for the survey.

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And first of all, there's

like misspellings.

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Let's, let's talk about,

let's talk about Dr.

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Marba a little bit more.

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Like what is, uh.

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Let's talk about the rhetoric is, um,

like what are the, well, I think what's

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kind of what I wanted to talk is, is Dr.

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Marba the questions.

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Okay.

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Right?

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Yeah, totally.

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The questions, they just ask the

same question a bunch of different

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ways, basically, where were you born?

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How long have you been

in the city of Spokane?

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Where did you attend your

senior year of high school?

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Do you have family that lives in Spokane?

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What year did you first start

experiencing homelessness?

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What is the reason you came to Spokane?

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Where were you living when you first

started experiencing homelessness?

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Just like a lot of different ways to

ask the question, did you come here

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because you were homeless or were you

a Spokane resident that became homeless

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through some circumstance in your life?

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And I feel like that is rooted in a lot

of the rhetoric that comes out of Dr.

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Maritz's kind of ideology.

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There's two key things that I see with,

studies Mar has touched, or places Mar

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has advised on homelessness policy.

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The first big thing is that his central

thesis tends to be homeless people go

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to big liberal cities because these big

cities have homelessness services and

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people come from all over the country

to go to these places to get services.

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This is not a word for word quote.

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This is just sort of the, the

ideology simmering around the

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messaging he's putting out.

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That's the tenor.

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Right.

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And I, and I think that, like,

I think I, I do think there's

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a general perception of that.

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When I came to Spokane in 2021,

I heard a lot of that rhetoric.

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And, uh, Spokane is the biggest city

between Seattle and Minneapolis.

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Minneapolis, and, and it's, you know,

it's perceived to be this kind of center

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of services for, for unhoused folks.

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Right.

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It's definitely a

narrative that's pervasive.

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So, so talk to us about like,

what's going on in that narrative.

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Yeah.

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So look.

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I wanna spend my time

first debunking that.

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Sure.

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Right.

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Like we get these survey, this survey from

Marette that is like, look, everybody.

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We were right.

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More than half of people in Spokane

first experienced homelessness

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somewhere else and then came here.

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And that's like a scary fact that

sort of, if you already buy into that

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narrative that people are coming here

to get our resources and keeping us from

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properly using our resources to help the

homeless people that really deserve it.

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IE the homeless people that lived

here before, like that fact is that

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headline with no dissection is going

to be like a gold star for you.

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Oh my God.

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I was right.

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This survey backs it up.

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But then you look at the survey and

there's big issues with it, so it

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asks the question itself, right.

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Where were you when you first started

experiencing homelessness that

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fails to account for people who, for

example, experienced homelessness

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when they were a kid somewhere else?

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Right?

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Let's say you live in Minneapolis, you're

a 7-year-old, your mom's homeless for

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a little bit, you're homeless with her.

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Then you.

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Grow up, you go to college,

you go somewhere else,

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eventually you move to Spokane.

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You have a life of family here,

a job, and then circumstances

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change and you become homeless.

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When you take this survey, you'd have to

answer, I first experienced homelessness

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somewhere else, and you might think

I'm spinning kind of a, a yarn that

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just pokes holes in this for no reason.

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But most of the people who took

this survey had were older than 45.

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And so that's a lot of years, right.

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For somebody to have

experienced something.

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And then that's maybe actually the

more minor problem with the survey.

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The bigger one is sample size.

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Well, I think let's, let's, let's

dwell on that just for a minute.

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Like, I think, I think the point of what

you're saying is like that question does

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not account for a lot of, a lot of, a

lot of potential circumstances that could

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exist in a person's life between mm-hmm.

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When they first experie experiences

experienced homelessness and.

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You know their current situation.

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Right.

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Okay.

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Yeah.

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Sorry, go ahead.

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So not only does the, the

question not account for that,

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but they're extrapolating this

data from 230 ish responses.

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I say ish, the numbers wishy-washy here.

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One News station reported 2 31 News

station reported two 60 a source,

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who was a volunteer there, told me

that they got almost 400 surveys

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and then threw a hundred out.

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Today.

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I was finally able to get Dr.

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Mart on the phone via text message, and

he told there was somewhere between 230

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and 235 surveys that they used and they

threw out between 30 and 35 surveys

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for not answering all the questions.

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Which that answers opens up another

question for me, which is like, why

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can't you tell me the exact number?

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But we don't need to dive into that.

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Sure.

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And he's like convinced that

this is accurate, right?

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He's telling me that this has a 95%

like he's con a 95% confidence rate

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because he says he drove around with

volunteers and they did a grid search

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of downtown where they pointed out

every single person they saw sitting

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downtown that they thought was homeless.

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And that number added up to 403 people.

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So they're saying, we got surveys

from 230 ish people that we use to

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extrapolate this data, and that's

over half of the homeless population

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because the homeless population is 403.

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We saw them.

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That's an estimate.

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So our confidence rate here, you know,

we got really good data and there's so

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many problems with that, that I needed

so many words to unpack and that I'm so

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disappointed that some of these other TV

news stations that covered it took zero

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words to ask any of these questions.

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What is, I'm, I'm really

interested and I was reading.

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The copy that you have down,

which is currently being

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edited what is a grid search?

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What does that mean?

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So the term, at least how he's

using it, comes from a place that

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did missing children surveys or

like, looked for missing children.

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They did like a grid search to try

to find missing children in an area.

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He didn't go into this methodology.

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He just has a one line referencing it.

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And then I went through their website.

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It's now defunct, the institute that did

it and, and looked at at what they did.

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But what he told me they did is

they get in a car and they've got

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volunteers sitting on one side of

each car and they drive back and forth

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in a grid downtown Spokane going,

there's a homeless person over there.

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If you're on the right side of the

car, you're like, oh, there's two

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homeless people sitting over there.

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He says they took pictures of each

homeless person so that they could compare

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and make sure that they were unique.

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One of the volunteers who was in the car

for at least an hour told me that all

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he was doing was pointing at people and

saying, there's a homeless person there.

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And then, but the person said, no

pictures, just that they didn't say that.

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They took pictures.

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He said all he was doing was pointing

at people and saying, there's

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two homeless people over there.

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I see another two.

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And this is again, failing to account

for the fact that they're just.

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Driving around looking at people

that they think look homeless.

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There's not a control for that.

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Right?

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Right.

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Like they said, you know, if you

were, they're assuming people who look

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homeless are homeless, are homeless.

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Yeah.

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Okay.

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And then they're using that to

estimate the amount of unsheltered

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homeless people in Spokane.

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But then the surveys that they actually

went out and got like 60 ish or more

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were from sheltered individuals.

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So now we're mixing two

different populations.

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'cause if you want a survey about

unsheltered people, and you're

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saying, we got surveys from 250 or

235 of the 403 unsheltered people,

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I still have issues with that.

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But at least you're comparing

apples to apples when you say,

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okay, I've got 253 responses.

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And some of them are from

people who are sheltered.

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And that tells you everything you need to

know about unsheltered people and makes

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up this portion of the total population.

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Now you're just looking at apples and

oranges and you're probably listening

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to this saying, wow, that's too many

math words, and I don't like this.

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And I'm gonna tell you I've

spent too much time with math

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words and I don't like it either.

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But somebody had to do it because

we can't just accept blanket

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studies with no methodology,

methodology attached, no raw data.

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I had to go begging for any of these

numbers because everything I was

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finding in other sources either had

no raw numbers attached or reporting

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different raw numbers for survey size.

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This is crazy.

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Who did you go begging to?

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Dr.

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Robert Mart.

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Okay.

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I could have gone to Gavin Cooley.

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I don't think he would've answered me.

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I think I burned that bridge last

time I was reporting on this when

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I was asking questions because you,

you interviewed Gavin Mart when you

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knew the study was gonna happen?

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Yeah.

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It was like the day before they

started conducting surveys.

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Mm-hmm.

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And what did, what did Gavin tell you?

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Well, if you give me two seconds, I can

tell you exactly what Gavin told me.

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Okay.

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Uh, I think Aaron has a, an audio file

queued up for us to, to listen to.

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I do.

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Um, if it works every time

we play a, we're never sure.

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We're not radio people.

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Folks, if we're not pulling punches

here, how much money are you

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spending to essentially replicate

data that's already been collected?

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How much money did this cost?

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Aaron, why do you think that's

even, I, you're kind of like the

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city council member saying, Gavin,

why at 5:00 AM aren't you handing

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out brochures and handing out food?

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You don't think it's relevant to

ask how much money you're spending

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on this When the city has just

completed their point in time count

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that asks largely the same questions.

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Aaron?

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I don't think, no, I don't

think it's relevant at all.

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Are you suggesting we should only be

giving money to help with homelessness?

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In which case, how much are you

giving you personally of your salary?

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Are you giving the help with

homelessness because, you know,

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it could be going that way?

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I'll tell you if you answer the question.

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Yeah, yeah.

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Um, no, I'm not, I'm not gonna answer

the question, Aaron, because it,

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it, it has no bearing whatsoever

on what we're talking about we,

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how we spend money in that fashion.

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Okay.

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So he ended the interview shortly after,

if you can't tell from the, the direction

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and range has not range has not been

able to speak to Gavin since I've,

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I've requested interviews from Gavin.

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Luke has an interview request out today.

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Yeah.

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Uh, and we don't, we don't know

what the result of that is.

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And what's funniest, I

mean, two things about this.

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First.

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I've been texting with Dr.

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Mart all day today and I sort

of saved the question that I was

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worried about for last, right?

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I got all the answers that I knew I needed

and then I asked that same question.

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How much did it cost for

you to run this survey?

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It's been about an hour

and he hasn't responded.

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And we were responding back and forth.

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So I don't, I don't know that

I'm gonna get an answer from Dr.

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Margaret either my text message.

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Yeah.

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But one of the things you hear me

talking about in this clip is why are

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we spending money to replicate data?

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And I think this is the interesting

counterpoint that I have now seen one

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TV news article that at least does

reference like, oh, the city has issues

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with this because they ran their own

point in time count survey and it

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found something completely different.

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So I do wanna talk about that

point in time count survey.

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Yeah, please can, can you, can you

actually explain to us what point

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in time data is and Yeah, yeah.

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Obviously, like how those numbers

stack up against the SBA study.

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Yes.

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So the point in time count is a count

that is supposed to be conducted

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in cities across the country if you

want to be eligible to receive HUD

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dollars from the federal government,

uh, the housing Urban Development

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Housing Urban Urban Development.

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Yeah.

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I always forget what that It's a, it's

a federal agency that basically oversees

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housing in the United States and sets

regulations and also provides funding

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to local municipalities, counties to

provide housing to, to people who need it.

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Yeah.

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So in order to get that funding,

you have to do point in time counts.

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You get your individual city data, and

then it also contributes to a larger

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national picture of homelessness data.

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Uh, this happens every, I think it's

usually like the end or middle of January.

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And I, was able to look over the

y's complete set of data from:

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We'll be getting 20, 25 data very shortly.

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Basically, with everything happening

at the federal government, they

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have been extremely slow to

get results back to the city.

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So we aren't getting the results from

:

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problem in any federal government program.

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Yes, which affects local, local police.

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Uh, but the 2024 numbers, which had

a sample size of:

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that there was about 80% of people

who were homeless on the streets of

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Spokane, who were from Spokane County.

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There was another 5% who were

people from Washington, so not

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Spokane County, but from the state.

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And then the remaining 15% was mostly made

up of people from the Pacific Northwest.

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So there's a few outliers of like, oh,

somebody, you know, thought they had a job

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lined up here and flew in from New Jersey.

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But for the most part, that remaining

15% is people from Montana, Idaho,

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Oregon, places who are adjacent to us.

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And that actually lines

up with trends nationally.

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It would actually be really

weird if Spokane fit the pattern

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that Maritz's saying we fit.

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Because nationally, and this is like

one of the data pieces I looked at, was

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a study of veterans, homeless veterans

that was done in:

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over a hundred thousand veterans and the

places that they were accessing services.

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And it found those numbers basically

lined up almost identically 80.

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5% of homeless veterans stayed

close to the place they originally

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accessed services for homelessness.

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So you're living in Miami,

you become homeless there.

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That's the first place you access services

and you continue to access services.

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Very close to that.

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Another 15% were doing what they

called migration, which is traveling

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large distances to other places in

the country and accessing homeless

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services at Veterans Affairs

offices quite distant from the place

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they originally access services.

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So in general, Spokane's data

had a larger sample size.

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The question I thought was much more

controlled than asking somebody,

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like, where did you go to home?

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Like, where did you go to high school?

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Where were you first homeless?

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The question that the City of Spokane

survey asked was, did you live in Spokane

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County before you became homeless?

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Yes or no?

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If no, where did you come from?

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Specify city and state if yes,

specify the neighborhood you lived in.

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So that's pretty specific data asking, did

you live here before you became homeless?

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It could get better.

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Um, I talked to a data scientist,

or technically I think his title

400

:

is that he's a professor of housing

and homelessness policy who looks

401

:

at housing and homelessness data.

402

:

And he, you know, told me that yeah,

the, the HUD question could get even more

403

:

specific, but it is significantly better

than the question that was asked by Dr.

404

:

Maritz's study.

405

:

So there's, there's this, this difference

between what the SPA study or the study

406

:

that was commissioned by SPA said and

what Spokane City Data say you spoke

407

:

with a, a homelessness data expert.

408

:

I don't know their name yet.

409

:

Yeah.

410

:

Let me find his title.

411

:

Did they, what did they say to you?

412

:

Okay.

413

:

So, yeah, take your time.

414

:

Sorry, I'm looking through again.

415

:

This document is lengthy.

416

:

His name was Dr.

417

:

Dennis Culhane and he is a

homeless and housing researcher

418

:

at the University of Pennsylvania.

419

:

He previously served as director

of research at the National

420

:

Center on Homelessness among

Veterans from:

421

:

Honestly, one of the most interesting

things he told me was that while the

422

:

City of Spokane point in time count

study is, it has a bigger sample size,

423

:

the questions were more specific.

424

:

Both surveys have some issues

when we try to make predictive

425

:

claims about the characteristics

of unhoused people in Spokane.

426

:

And primarily that issue comes

because the surveys are what's

427

:

called cross-sectional surveys as

opposed to longitudinal surveys.

428

:

So I'm gonna do my best to explain

the difference here, and then

429

:

I'm gonna give you a clip of Dr.

430

:

Col ha adding some more nuance here.

431

:

And we are, keep in mind, we

are not data scientists, so

432

:

we are relying entirely on Dr.

433

:

Col Hane.

434

:

But Aaron's been.

435

:

Going after this.

436

:

Really smart.

437

:

So yeah, let's just pair

it whatever you can.

438

:

Okay, so a cross sectional survey looks

at a cross section of a population.

439

:

Okay?

440

:

You go out on one day and you were

like, I mean with the homeless people

441

:

example, it's like, okay, I went

out and on Tuesday I saw 25 homeless

442

:

people and I talked to five of them.

443

:

And so I looked at that cross section of

the larger cross section of people that

444

:

I saw, and then that is supposed to be

representative of the population of a

445

:

whole, which did not encompass people I

didn't see, or people I didn't talk to.

446

:

It's a kinda gives you a limited picture.

447

:

And some of the issues with that,

specifically when you're talking

448

:

about homelessness is that you're

more likely to see on the streets.

449

:

People who are chronically

experiencing homelessness, people

450

:

who are experiencing it in that

moment may be camping in their car.

451

:

They might be sleeping with their friend.

452

:

They might be at the

library applying for jobs.

453

:

They might be any number of

places besides the street.

454

:

And of course, people who are chronically

experiencing homelessness may also be

455

:

any number of those things, but it's

just really hard to make statements

456

:

about the characteristics of a group

when you're looking at a cross section

457

:

that mixes different populations,

like sheltered versus unsheltered or

458

:

chronically homeless, versus this is

someone's first time being homeless.

459

:

And both of these surveys

looked at a cross section.

460

:

So, so, so we, we broadcast from

the Spokane Public Library and

461

:

often unhoused people hang out here.

462

:

They try to, like, they, they use their

libraries, resource resources to search

463

:

for jobs and seeing people printing

out resumes or all kinds of stuff here.

464

:

Applying for veterans' benefits.

465

:

Those people, many of whom could be

doing better than their neighbor,

466

:

but still be unhoused could walk

out and be, uh, be counted among the

467

:

homeless population at any given time.

468

:

Right.

469

:

But they're not this, they're

not in the same situation, right?

470

:

And so, like, these are all the

little nuances that make a cross

471

:

section survey complicated.

472

:

And even when I talk to the city

about the point in time count data,

473

:

they'll tell you right up front, yeah,

our data from a point in time count.

474

:

It's not predictive in

the way we want it to be.

475

:

It's an indicator, but it doesn't

tell the complete story, and we have

476

:

to do other data collection to tell

that complete story where we look at

477

:

the survey from SBA and they're making

very definitive claims about what this

478

:

says about homeless people in Spokane.

479

:

The city also has the other

kind of survey that Dr.

480

:

Cohan mentioned, the longitudinal survey.

481

:

And so that's something that

looks at a group of people over

482

:

a sustained period of time.

483

:

So you take one group of people and you're

looking at them for like a year, and

484

:

then you can maybe make some predictive

claims about their characteristics.

485

:

It's a lot easier.

486

:

Than to try to model off

of a tiny cross section.

487

:

And the city does have longitudinal data.

488

:

They have it in a couple of ways.

489

:

They have a longitudinal systems

analysis that they published publicly.

490

:

And what we found from that was that

over 7,000 unique individuals in

491

:

Spokane accessed homelessness services.

492

:

That means that there's, more than 7,000

people who needed services this year, 22%

493

:

of those people have exited homelessness

to permanent or transitional housing.

494

:

And the average length of stay

or experience of homelessness

495

:

cumulative days was 99 days.

496

:

So like three months.

497

:

That's all stuff we found out from the

city's longitudinal systems analysis.

498

:

And then they have their own private

data collection called HMIS and that

499

:

I wasn't able to dig through because

it collects a lot of pieces of data

500

:

that are confidential or private.

501

:

It's not, easily down like

healthcare data and stuff like that.

502

:

Yeah.

503

:

And like social security numbers.

504

:

Mm-hmm.

505

:

And birthdays and like stuff that

people give them when they enter like

506

:

a shelter or a service that the city

provides, like an eviction defense.

507

:

All of these things that are wraparound

services or homelessness services,

508

:

the city collects in a much more

confidential data pool that isn't.

509

:

A nice easy graph for public

consumption and city spokesperson.

510

:

Aaron Hutt told me that their

longitudinal analysis across all of

511

:

this data that they've been collecting

for years reveals the same pattern, the

512

:

same, like roughly the same numbers,

that the point in time count shows.

513

:

80 to 85% of people are, quote

unquote, from here, either Spokane

514

:

County or Washington State.

515

:

Around 15% are not, but are still from

our geographic corner of the country.

516

:

Did I bore you?

517

:

I'm so sorry.

518

:

No, no, no, no.

519

:

Um, do you, one of the things,

Cohan talking about it or, uh, no.

520

:

One of the things that I was thinking

about while you were talking was, um, so,

521

:

so all of this, all of this data is like,

you know, there, there's ways to track

522

:

it in that are more accurate than others.

523

:

Mm-hmm.

524

:

But homelessness seems, from our

conversation and from all of my

525

:

experiences going out and just like

talking to people on the streets, which

526

:

I've done a number of times sometimes

with you, um, is that homelessness

527

:

seems really difficult to track.

528

:

And I think one of, one of the things

that like sticks out to me in what you

529

:

were saying is yesterday I was at a,

uh, I was at an event that was put on

530

:

by Revived Spokane which is kind of just

like a, it's an advocacy organization.

531

:

And, and they were able through

relationships with the Empire House,

532

:

uh, the Empire health Foundation

and the State Department of Commerce

533

:

to, uh, absorb a $4 million grant to

establish housing in three small yeah,

534

:

they're just like houses that were

renovated by, by construction firm that

535

:

they hired to basically move people.

536

:

Who were originally housed at camp

Hope, which was a, a big homeless

537

:

encampment that lasted about a year

and a half between Spokane and Spokane

538

:

Valley on on, on state property.

539

:

Try to try to get those people through an

initial program and into like permanent

540

:

housing and with programs like that

being funded and then defunded the

541

:

landscape shifts really dramatically.

542

:

So it just, it just seems like, like a

lot of these numbers, like there, there,

543

:

there are ways to like reliably study

this, but like none of it is exact and

544

:

there, there's a spectrum of accuracy.

545

:

Does that sound right to you?

546

:

Yes.

547

:

I think there is a spectrum of accuracy

and I also think, you know, some of what

548

:

you talked about, about getting on the

ground and actually talking to people.

549

:

I feel a little bit bad even doing data

analysis of this because it feels like

550

:

it's losing all of the humanity, but all

of people's humanity was stripped away

551

:

by this survey itself, and I don't think

that the city survey necessarily did strip

552

:

people's humanity away in that fashion

because it asked so many other holistic

553

:

questions like, are you a veteran?

554

:

Do you have a substance use disorder?

555

:

Do you have a chronic health condition?

556

:

Instead of making assumptions that

people who are unhoused have a

557

:

substance abuse disorder or a chronic

health disorder, like those were.

558

:

Built into SBAs study and some of

the way that they talked about it

559

:

in their critical finding stuff.

560

:

The assumptions you're talking about.

561

:

The assumptions, yeah.

562

:

Were built in there.

563

:

And the city survey asks people what

reasons led to them becoming homeless.

564

:

Was it an eviction, was it a

mental health problem, a uh, a

565

:

access to transportation issue?

566

:

Was it COVID?

567

:

Was it lack of access

to affordable housing?

568

:

And then it also asks them what

services they use from the city and

569

:

what barriers might exist to using

the services that are available.

570

:

And of course, any three page or one

page survey is not going to get at

571

:

the heart of somebody's humanity.

572

:

And you need to be willing to do

the qualitative data or the Yeah,

573

:

the qualitative data analysis

too, that's actually talking to

574

:

people about their experiences and.

575

:

I think I, I'm kind of going off

track here, but I just, it's okay.

576

:

I have been in my little hole, my

little data analysis hole, right.

577

:

Pouring over numbers and

studies and statistics.

578

:

It's really, it's really fun to

walk into the newsroom and watch

579

:

Aaron Sellers work on this study.

580

:

'cause they're very excited about it.

581

:

Pounding Red Bull hyping frantically

at my computer with 36 tabs

582

:

of homelessness studies open.

583

:

Right?

584

:

And it's important for me to do that

because a lot of people have just

585

:

accepted this data at face value.

586

:

But what's missing in my story

and what's missing in all of these

587

:

discussions about this is perspective

from people who are on the street.

588

:

You can talk to one person who

might tell you they moved here from

589

:

somewhere else, and you can talk to

another person who will tell you,

590

:

I lived here with my wife until she

died and I didn't have enough income

591

:

anymore to be able to keep my house.

592

:

I lost my house and it all

went downhill from there.

593

:

And those are the kinds of stories

that you're not gonna see in a.

594

:

A survey like this, or in a 500 word

TV news story about this survey.

595

:

And unfortunately, you're not gonna

find it in my 5,000 word story because I

596

:

needed all 5,000 of those words to debunk

some of the issues with this survey.

597

:

And so I do wanna acknowledge that that's

a, that's a flaw in my own reporting too.

598

:

Well, I think, I think one of

the challenges of reporting on

599

:

homelessness is that, you can go and

talk to five or six people on the

600

:

street, spend several hours doing so.

601

:

Their experiences are not going to

mirror other homeless folks experiences.

602

:

And we, we had I, I think we kind of, this

was before my time at Range, but Range

603

:

really kind of owned the Camp Hope story.

604

:

Our, our former reporter, Carl Seager

Segerstrom spent uncounted hours at

605

:

Camp Hope gathering people's stories.

606

:

And, but even that is not a complete

picture of homelessness in Spokane.

607

:

It's, it's a very complex.

608

:

Issue that, that nobody

can distill in one story.

609

:

So yeah, that, that's, that, I think

that's a flaw in all reporting.

610

:

Just it's an inherent

flaw of communication.

611

:

Um, if you wanna know more about cross

sections versus longitudinal systems

612

:

analysis, I do have a clip of the

professor talking about that, but he, I'll

613

:

let you decide if that's boring or not.

614

:

I don't think that's boring.

615

:

I'm a nerd, so play it.

616

:

Okay.

617

:

Seeing a study.

618

:

Um, but both of them have a limitation in

that when you are doing a cross-sectional

619

:

sample, meaning a sample you're

getting on a given point in time.

620

:

Okay.

621

:

There's, there's tremendous bias in

the sample by nature of how it is

622

:

designed, which means that within

that sample you are combining.

623

:

People who have been homeless for a

long period of time, people who are

624

:

newly homeless, people who are just

starting their homelessness, and we

625

:

don't know what their duration will be.

626

:

So because it is a cross section,

it's impossible to interpret.

627

:

What the relationship is between

any of the characteristics you're

628

:

observing and the what caused their

homelessness or what has caused their

629

:

homelessness to persist, which by

the way are two separate phenomenons.

630

:

We have causal processes that lead to

homelessness, and we have separate causal

631

:

processes that lead to homelessness

to persist for people to not exit.

632

:

Most people exit homelessness quickly.

633

:

If we had a longitudinal sample, for

example, we see about a third of the

634

:

homeless population usually resolves

within two weeks, and you get about

635

:

half the population exits homelessness.

636

:

In about six to eight weeks.

637

:

Mm-hmm.

638

:

So, but, but those people only

show up as a tiny portion of the

639

:

homeless population on a given day.

640

:

The, the given day population is

represented as much as five times more

641

:

the long-term homeless than they would

be represented in an annual picture.

642

:

When you look at these point in time

surveys, they tend to look like most

643

:

of the people are chronically homeless.

644

:

They've been homeless for

very long periods of time.

645

:

They have very complex service needs.

646

:

And, um, and you, you're, you're

inclined to think that that's

647

:

what causes homelessness, when

in fact it's, it's different.

648

:

So let me give you the

analogy would be COVID.

649

:

There, we know that there's a certain

conditions, we know COVID is caused by.

650

:

An infection and we know

that there are risk factors

651

:

associated with that infection.

652

:

It is a separate thing that happens

of who ends up dying from COVID

653

:

or who ends up hospitalized or

in, you know, on a ventilator,

654

:

uh, or who gets long-term COVID.

655

:

Those are very distinct subpopulations.

656

:

Most people who get COVID have a

light, have a light experience,

657

:

and they resolve quickly.

658

:

You see what I mean?

659

:

Yeah.

660

:

So very different samples.

661

:

And so when you're sampling on a

given day, it's very difficult, if

662

:

not impossible, to really interpret

what these characteristics mean

663

:

with respect to risk for becoming

homeless versus remaining homeless.

664

:

That's fascinating.

665

:

I, I think that like.

666

:

So when I go out on the street, which,

I, I take the bus, um, I usually

667

:

walk to the office from the Central

Station in Spokane, the, the SCA Plaza.

668

:

I see, I see people who I recognize a lot

and it, it just seems like that's just

669

:

any, any, it seems like, from what

he's saying is like, and, and from

670

:

our conversation today, like any,

any one person's experience of

671

:

homelessness is not a representative

picture of, of how it works.

672

:

'cause I, like, I have, I form a lot

of really strong opinions about the

673

:

way homelessness works in Spokane

based off my own experiences.

674

:

You're a lot deeper in the data than I

am 'cause you're a city hall reporter.

675

:

And yeah, this is it's kind of a

humbling experience hearing that like.

676

:

Yeah, go ahead.

677

:

Yeah, and I think the thing that I've

been, when I emerged from my little data

678

:

hall and I realized I had to write a

conclusion to this story, I was thinking

679

:

about, okay, so this is an issue, right?

680

:

The way that this survey was conducted,

the way that it was subsequently

681

:

reported on in a really simplistic

way that just parroted the statistics

682

:

with no critical analysis of them.

683

:

But I think it's emblematic of a larger

problem, and that's that there is a very

684

:

seductive and insidious narrative,

a story that we've all been

685

:

told and continue to be told.

686

:

That's really tempting that our community.

687

:

Is great.

688

:

We are resourced, we can

take care of each other.

689

:

But unfortunately, there's people who come

here who aren't part of that community,

690

:

and they're a drain on our resources.

691

:

They're taking resources from the

people who are from here, who belong

692

:

here, who deserve those resources.

693

:

And if we just send those people who

came here away, back to where they

694

:

came from, they'll be happier and will

have enough resources to take care of

695

:

everybody who really needs them here.

696

:

And that's a really seductive narrative.

697

:

And I, I think it's one that

we see in a lot of campaigns.

698

:

It's one that we see

nationally with homeless data.

699

:

Dr.

700

:

Robert Cohan told me that he has you

know, he's hardly ever looked at a

701

:

community and seen a different narrative.

702

:

Every community in this country that.

703

:

Thinks that they're doing the greatest

thing on homelessness and that

704

:

they're a magnet for homelessness.

705

:

I scarcely find anyone who does not

claim that we're so good to the homeless.

706

:

Everyone wants to come here.

707

:

Col ha said.

708

:

So that's a thing that's pretty pervasive

across the country, and it's also pretty

709

:

pervasive when we think about how we

talk about immigrants and immigration.

710

:

The United States is great.

711

:

It's a beautiful place to live.

712

:

We have so many resources and everybody

here would be happy and have enough

713

:

money to live and thrive if only

people from other places would stop

714

:

coming here and taking our resources.

715

:

I, I am very familiar with his narrative.

716

:

And I've, I've noticed the, uh,

I, I mean mostly in Spokane,

717

:

like specifically to Spokane.

718

:

I'm familiar with his narrative due

to your reporting on city council

719

:

meetings where, business representatives

show up and they, they speak at the

720

:

lectern and they, they lodge their

concerns with the city council.

721

:

And I think that that's like,

I think that's really it.

722

:

It's a resonant concern with just average

folks who are like, maybe they're housed,

723

:

but they're still having a rough time,

like paying their rent or whatever.

724

:

Mm-hmm.

725

:

Those folks could become

homeless at any moment.

726

:

I know that, like for me, I spent two

years getting my getting my master's

727

:

degree here, wondering if I was gonna

be able to pay my rent next month.

728

:

Um, and if I didn't, I would be

homeless and my wife along with

729

:

me, and I, so, so I, I, I think

that, that, that is something that

730

:

tends to resonate with people.

731

:

The thing that I'm kind of wondering

about, and I don't know if you have, I.

732

:

Direct insight about this from all of

the observations that you made, the deep

733

:

reporting that you've done, the interviews

that you've done with, with business

734

:

officials or like, you know, people

who represent the business community.

735

:

What is the, like, why do they do this?

736

:

Like, what is the incentive

for, for the business community

737

:

to, to advance this narrative?

738

:

I don't know that I have any answers,

but I do have some questions.

739

:

Okay.

740

:

You have to think about

source here, right?

741

:

Yeah.

742

:

So.

743

:

The SBA is the group that's

paying to put this survey on.

744

:

They won't tell me how much money

they're spending on this survey.

745

:

What I do know is that the SBA is founded

by somebody, Larry Stone, who gives

746

:

millions of dollars to conservative

political campaigns in the Spokane

747

:

region, who creates documentaries like

Curing Spokane that are supposed to

748

:

convince you that drugs and people who

aren't from here are ruining our city.

749

:

He spends thousands of dollars to put

up billboards to convince you that

750

:

it's gonna be the end of the world.

751

:

If we put a bus lane on Division

Street, he has all of the money to

752

:

do that, to do any of those things.

753

:

Gavin Cooley makes over a

hundred thousand dollars a year.

754

:

I'm fairly certain.

755

:

And the people who are part of SBA are

prominent business owners, developers

756

:

who have built some of the, the biggest

buildings in Spokane that you've seen

757

:

who are currently working on developing

large portions of Spokane, renting those

758

:

buildings out, making money off of you.

759

:

And so my question, I don't have an

answer as to why they're the purveyor

760

:

of this narrative, but if you have all

of these resources, if you're one of

761

:

the richest people in Spokane, people

are gonna be looking at you, right?

762

:

Wondering, why do you

deserve to have all of that?

763

:

Why should you, as a developer,

get to jack my rent up when I'm

764

:

the one that might be homeless?

765

:

Why do you get to own all of these things

when I'm living paycheck to paycheck,

766

:

when I don't know if I'm gonna survive?

767

:

And sometimes it's easier for people who

have those resources to spend a ton of

768

:

those resources to convince you that the

issue is not the money that they have.

769

:

But the little bit of money that

you have that might be taken by

770

:

someone from somewhere else, it's

just it's a ma magician's trick,

771

:

a flourish of the handkerchief.

772

:

Look over here and don't look at what I'm

doing with my other hand behind my back.

773

:

And I don't know if I should even be

saying that to be completely honest, but

774

:

that's my question is should you trust

a survey that tells you people from not

775

:

here are the problem when they have the

money to be doing all of these things?

776

:

And you alluded to this earlier, but it

makes me think of the me, the meme that's

777

:

been going around on social media lately.

778

:

Probably more specifically in leftist

circles, but like, um, something

779

:

to the effect of, and I don't

remember the exact wording, but it's

780

:

something to the effect of they want

you to think that your problems.

781

:

Come from immigration rather, so, so

that you don't blame the billionaires.

782

:

Yeah.

783

:

And so it's, I would ask if

this falls into that trend.

784

:

Yeah.

785

:

And I will let anybody listening

to this make their own conclusions.

786

:

I also think kind of secondary,

I mean, it's part of the same

787

:

narrative, but I would be really

suspicious of anybody who tells you

788

:

that community needs to be narrow.

789

:

Any narrative that asks you to look at

somebody and say, they're not like us.

790

:

They're weird, they're different.

791

:

They don't deserve help,

they don't deserve resources.

792

:

I think we see that in

a lot of these stories.

793

:

I mean, like, I, I do think you're

right that it's at the heart of a lot

794

:

of the stories that I write is there's

a lot of really powerful narratives

795

:

that are trying to convince you that

in order to hold onto your stability.

796

:

There's an outside threat and we

just need to shut that outside

797

:

threat out of our community.

798

:

Whether that's trans people playing

sports who want to take your daughter's

799

:

trophy, and community will be so much

better if we just have it without them,

800

:

or whether it's, yeah, we should take

care of homeless people if they're really

801

:

from here and deserve your resources.

802

:

And our community will be stronger

if we just shut the people who

803

:

aren't from here out or immigration.

804

:

Those people who take care of your kids,

who show up to your neighborhood potlucks,

805

:

who would be there for you if you needed

them, your life would be better if you

806

:

just shut them out of your community.

807

:

If we isolated, if we shut down.

808

:

And what's so difficult about this is

I needed 5,000 words to debunk this.

809

:

I don't know how many people are

gonna read what I've written,

810

:

are gonna sift through the survey

analysis, are gonna take the time to

811

:

understand the issues of the data.

812

:

They needed very few words to say.

813

:

Over 50.2%

814

:

of people in Spokane first experienced

homelessness somewhere else.

815

:

And people seized on that and took

that as evidence that that very

816

:

tempting narrative is accurate and

they should keep holding onto it.

817

:

It's so heartbreaking and lazy that we

can so easily spread this propaganda

818

:

and it takes so much time and effort

and willingness to empathize and

819

:

understand and think critically to

do any debunking of the narrative.

820

:

That old adage, it's like,

821

:

I'm not sure if it was Mark Twain.

822

:

That's what I wanna say.

823

:

A lie goes around the world.

824

:

Can people here before, before the truth

has the chance to put their shoes on?

825

:

Can you talk about, so there's,

there's, there's some really interesting

826

:

little small anecdotes in this.

827

:

We've only got a, we've got about.

828

:

It's eight minutes left before

we need to start the close out.

829

:

Um, how do.

830

:

Dogs figure, I figure into this study.

831

:

Oh, I thought you were gonna

bring that up ages ago before

832

:

I had my very serious diatribe.

833

:

I'm trying to, I'm trying to

do these important questions

834

:

first in the interest of time.

835

:

Okay.

836

:

That's fair.

837

:

This is my favorite little

digression on this survey.

838

:

So I went through and I looked at all of

the sort of big claims that the survey

839

:

made without citing their sources.

840

:

And here's a quote of a, a claim

that the survey made compared

841

:

to prior Spokane observations.

842

:

In October, 2019, September, 2022 and

September,:

843

:

of dogs had increased noticeably.

844

:

Of note, most of the people

experiencing homelessness who

845

:

had dogs with them were women.

846

:

Increases in the number of dogs or

the size of dogs are often a future

847

:

indicator of increased levels of

violence on the street that was

848

:

just in there, no citation for like.

849

:

Proof that more dogs means more violence?

850

:

No.

851

:

Telling me where they got those

numbers from:

852

:

No.

853

:

Telling me even what those numbers are.

854

:

How many dogs did you

see in:

855

:

So, when I finally did get ahold of Mark,

it's, it's all based on vibes, right?

856

:

Vibes, the vibe of dog.

857

:

I don't know.

858

:

That was one of the first questions

that I had to get answered was

859

:

like, I need to know about the dogs.

860

:

Whether that's critically important

to the survey or not, it's gonna

861

:

bother me so much if I don't

get information on the dogs.

862

:

Well, I think it's illustrative to

the rigor, to the rigor of the study.

863

:

You know, like.

864

:

Yeah.

865

:

And so over text, he said that the

info about the dogs came from his

866

:

own previous visits to Spokane, where

he saw quote less than three dogs.

867

:

He did not specify the actual number.

868

:

So that could have been

one dog or two dogs.

869

:

I guess either of those would be

less than three, maybe a hot dog.

870

:

Um, he also did not say how many dogs

he saw this time or how big any of those

871

:

dogs were, or where he got the information

that dogs of any size are indicators

872

:

for increased levels of violence.

873

:

And when I asked him about his lack of

citations in general, 'cause there was

874

:

a lot, and I kind of went through at one

point and tried to pull out all of the

875

:

claims that were made without citations.

876

:

He said that lack of

citations was intentional.

877

:

Quote, I've never been asked by community

groups, agencies, cities, counties,

878

:

and states to provide citations.

879

:

That's crazy.

880

:

Right?

881

:

Well, I, I, I just, I just remember,

I, I remember taking classes as

882

:

a student and always being told

that I had to cite my sources.

883

:

And I remember writing stories for

editors whenever I made a claim,

884

:

I was asked to cite a source.

885

:

I, that's, that's anecdotal.

886

:

I feel like citing sources is important,

but apparently nobody ever asked them to.

887

:

The people who commissioned these studies

aren't worried about citing sources,

888

:

which it's also worth noting that he

didn't give me any of those sources.

889

:

Yeah, like I was asking.

890

:

Yeah, I didn't get any of 'em.

891

:

Of course I didn't, I didn't

exactly say like, give me all of

892

:

your sources, but I said, I noticed

like a noticeable lack of sourcing.

893

:

Is there a page I missed?

894

:

Was there something that

wasn't included in the report?

895

:

Where are your sources for this?

896

:

And he was just like,

nobody's ever asked me.

897

:

But yeah, you there was a scene in

the newsroom, I can't remember which

898

:

day it was, it was a couple days ago.

899

:

Time is a flat circle.

900

:

When you were just kind of go into

town on this story and you were ranting

901

:

about, um, because you're very passionate

about this, which is really commendable

902

:

about who in our newsroom would be

903

:

y you know, the implications of

this, of this study were, were

904

:

taken to their logical conclusion,

and the people who aren't supposed

905

:

to be here should be kicked out.

906

:

Like who in our newsroom?

907

:

So we've got five people.

908

:

We've got five people.

909

:

Well, we've got, we've got six people,

including our, our intern Clarine Cur.

910

:

True.

911

:

I didn't make clear intake the survey.

912

:

Clarin's also a college kid, so I

don't know how that would factor in.

913

:

We haven't analyzed Clarine yet.

914

:

We haven't an analyzed,

but everybody else you got.

915

:

But hey, our cross section

of five out of six was great.

916

:

99% accuracy.

917

:

Okay.

918

:

So none of us would count as from Spokane.

919

:

None of us would be able to answer

yes to all of these questions.

920

:

Luke has lived here his whole

life and Luke wouldn't be able to

921

:

answer yes to all these questions.

922

:

Okay.

923

:

But by here, what do you mean?

924

:

Exactly, that's the issue.

925

:

They just say Spokane in their survey.

926

:

There's no differentiation between

Spokane County and Spokane City.

927

:

And normally when people hear,

are you, were you born in Spokane?

928

:

They don't think Spokane County.

929

:

They think the city that's

a wiggle room in data.

930

:

Right.

931

:

So Luke, he's from like North Spokane,

outside of the city limits, like above me.

932

:

He lived in Elk for most of his childhood.

933

:

Yeah.

934

:

Yeah.

935

:

And so Luke would've to take this

survey, even though he's been here his

936

:

whole life, if he started experiencing

COVID and he would not be able to say

937

:

I was born in the city of Spokane,

he would not be able to say, family

938

:

brought me to the city of Spokane.

939

:

He would be able to say, I came here

because of a spouse, partner, or friend.

940

:

'cause I think he moved into Spokane,

or wait, no, he moved here for college,

941

:

which is not an option on this survey.

942

:

So he wouldn't be able to answer

any of these multiple choice options

943

:

as to why he came to Spokane.

944

:

He didn't go to high school here.

945

:

So even Luke, who's been in this area his

whole life would not count as from here.

946

:

I've been here for seven years.

947

:

I own a house.

948

:

If I were to become

unhoused tomorrow and Dr.

949

:

Robert Maric came up to me with this

survey on the street, I would have to say

950

:

that I have no family connections here.

951

:

I would have to say that I

went to high school in Idaho.

952

:

I would just say that I was

born in Lewiston, Idaho.

953

:

I would have to I came here

for college and stayed.

954

:

So I wouldn't have a great

reason for coming to Spokane.

955

:

And so by his own recommendations

in the survey, I would be

956

:

given a bus ticket back to.

957

:

To Idaho.

958

:

I dunno if it's the city I was born

in Lewiston, where I have no family,

959

:

or if it would be to the city of

Wii that has no homeless services.

960

:

But that is what the city

of Spokane should offer me.

961

:

If I was unhoused and took this

survey under his recommendations.

962

:

I came here from Texas in 2021

to pursue a master's degree.

963

:

I would also be, um, I mean if

that, if that was the logical

964

:

conclusion, I'd also be bused back.

965

:

We are at the end of our time,

so I'm gonna do the closeout.

966

:

Is there anything else

you wanna say real quick?

967

:

Real quick, like 20 seconds please.

968

:

When you see these simple headlines

about data and surveys, please

969

:

think more critically about it.

970

:

And whenever anybody is asking you to shut

people out of your definition of community

971

:

and who deserves help, please really

evaluate that before you jump to an easy,

972

:

simple conclusion that might make sense

of what you already know and feel nice.

973

:

But it's just not going to

make the world a better place.

974

:

All right, well, good work on this.

975

:

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