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.
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
342
:in cities across the country if you
want to be eligible to receive HUD
343
: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
347
: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.
361
: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
363
:Spokane, who were from Spokane County.
364
:There was another 5% who were
people from Washington, so not
365
:Spokane County, but from the state.
366
:And then the remaining 15% was mostly made
up of people from the Pacific Northwest.
367
:So there's a few outliers of like, oh,
somebody, you know, thought they had a job
368
:lined up here and flew in from New Jersey.
369
:But for the most part, that remaining
15% is people from Montana, Idaho,
370
:Oregon, places who are adjacent to us.
371
:And that actually lines
up with trends nationally.
372
:It would actually be really
weird if Spokane fit the pattern
373
:that Maritz's saying we fit.
374
:Because nationally, and this is like
one of the data pieces I looked at, was
375
:a study of veterans, homeless veterans
that was done in:
376
:over a hundred thousand veterans and the
places that they were accessing services.
377
:And it found those numbers basically
lined up almost identically 80.
378
:5% of homeless veterans stayed
close to the place they originally
379
:accessed services for homelessness.
380
:So you're living in Miami,
you become homeless there.
381
:That's the first place you access services
and you continue to access services.
382
:Very close to that.
383
:Another 15% were doing what they
called migration, which is traveling
384
:large distances to other places in
the country and accessing homeless
385
:services at Veterans Affairs
offices quite distant from the place
386
:they originally access services.
387
:So in general, Spokane's data
had a larger sample size.
388
:The question I thought was much more
controlled than asking somebody,
389
:like, where did you go to home?
390
:Like, where did you go to high school?
391
:Where were you first homeless?
392
:The question that the City of Spokane
survey asked was, did you live in Spokane
393
:County before you became homeless?
394
:Yes or no?
395
:If no, where did you come from?
396
:Specify city and state if yes,
specify the neighborhood you lived in.
397
:So that's pretty specific data asking, did
you live here before you became homeless?
398
:It could get better.
399
: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
:This is Free Range,