Analyst Talk - Ryan Kapaun - The PR Analyst

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Welcome to Analyst Talk with Jason Elder.
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It's like coffee with an analyst,
or it could be whiskey with an
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analyst reading a spreadsheet,
linking crime events, identifying a
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series, and getting the latest scoop
on association news and training.
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So please don't beat that analyst and
join us as we define the law enforcement
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analysis profession one episode at time.
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Thank you for joining me.
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I hope many aspects of
your life are progressing.
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My name is Jason Elder and today
our guest has 22 years of law
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enforcement analysis experience.
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He started his career with the Minnesota
Department of Public Safety and is now
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with the Eden Prairie Police Department.
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He is worked on the 2008 Republican
National Convention in St.
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Paul, Super Bowl 52 in 2018, and the
United Healthcare CEO funeral in 2025.
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He's here to talk about, among other
things, law enforcement analysis, writing.
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Please welcome Ryan Kapon.
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Ryan, how we doing?
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I am doing amazing.
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Thank you so much for having me.
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I am glad to have you.
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I am definitely interested in talking
about writing and presentations
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in law enforcement analysis.
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That gets to be a little bit of
my soapbox here on the podcast.
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Looking forward to your
perspective on, the subjects.
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All right, so let's get started
from the beginning, though.
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I don't wanna get too far ahead of myself.
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How did you discover the law
enforcement analysis profession?
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Yeah, so I went to the University
of Minnesota Duluth on the shores
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of Lake Superior for degree in
communications, hoping to write
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press releases, do marketing, maybe
work for a political campaign.
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And in college I got a job working
for the Minnesota Duluth superior,
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the Duluth Superior Dukes, which
was a minor league baseball team.
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And I. Started as an intern and they let
their media relations person go about
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a month into my internship and promoted
me to be director of media relations.
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So I did that for two years till the
team relocated to Kansas City, moved
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back to the Twin Cities, and was looking
for something related to my degree in
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field and applied for a job with the
Minnesota Department of Public Safety
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as an information officer, where that
job was kind of advertised as, being
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more kind of press releases and writing
promotion of some certain grants
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for the Department of Public Safety.
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But as government bureaucracy happens
this was shortly after nine 11 and
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the Department of Public Safety
had just created their Department
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of Homeland Security within the
Department of Public Safety, and
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they hired a B or moved a, B, CA.
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A Bureau of Criminal Apprehension
investigator over to start that division.
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And they needed somebody to help him.
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And so the closest job description
that they had of a job that was open
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was that information officer job.
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So I applied and got the first crime
analyst job or intel analyst job with
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the state of, so with the Department
of Public Safety without realizing
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that's what I was applying for
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you.
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You really fell into it, right?
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I literally, yeah, I, I did not know.
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I I had an, and that agent who gave
me my job and, and led me on the path
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of where I am today was so swamped.
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He needed somebody really quickly.
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I was in that stack of, of resumes and
my wife's aunt, it was girlfriend at the
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time not wife, but her aunt worked for
human resources for the Department of
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Public Safety for the state of Minnesota.
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And so that agent Jeff Luther had come
to her and is like, Hey, I gimme like
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the one or two people I should interview.
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I got, I don't have time to mm-hmm.
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To sit through a ton of interviews.
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And she said, well, here's
these ones that are in of note.
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And then this one is
also dating my, niece.
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And he said, yeah, that one looks good.
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And I met him at, at a
breakfast diner in, St. Paul.
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And did an interview over like an omelet.
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Then he said, I'll get
back to you when I can.
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And before I'd gotten home, he
called and offered me the job.
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Nice.
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Yeah.
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It's
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it's called up there
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in Minnesota.
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You just needed a warm body.
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He did just need a warm body.
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So I, I helped create the Intel
Center for the State of Minnesota
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which is now the Minnesota Fusion
Center, and worked there for several
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years before the City of Eden Prairie
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hired me away.
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All right.
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And I do want to get into that
development with the, with the
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state and then to Eden Prairie.
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But real quick, way back when you
were working for the baseball team,
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some of these minor league baseball
teams or minor league teams really
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get into some wild marketing.
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Employees to get people in the seats.
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And so I'm just kind of curious what was
some of the, things you got into when
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you were, working for the baseball team?
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Yeah, so that team was in the same
league as the St. Paul Saints,
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which up until recently was owned
by Mike Veeck and Bill Murray.
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So there was a lot of things
that the St. Paul Saints were
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doing kind of revolutionary with
in-game stuff and promotions.
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Mm-hmm.
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And so we were trying to
compete with them in Duluth.
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Duluth is like two hours
north of, St. Paul.
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And we just had a really,
really small staff, so it was
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everybody doing everything.
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Mm-hmm.
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I was the director of media
relations writing the.
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Game notes and the game
programs and baseball cards.
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But there were times where I was the
public address announcer and doing
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in-game on field stuff to, to help out.
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But it was a lot of bands in the
parking lot or bands in, the stadium.
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On off nights.
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A couple times we had boxing matches
and like ultimate fighting on home
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plate, trying to sell some more
tickets and sell some more beer.
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There was certainly dollar Dog
nights and dollar beer nights, which
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would get crazy as, as you'd expect.
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Mm-hmm.
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But there wasn't, it didn't get too crazy
of promotions that I can remember, mainly
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because we were just such a small staff.
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I find it interesting 'cause
this the stereotypical analyst.
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Is introverted may shy away
from the spotlight, may be
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uncomfortable, at least in the very
beginning with public speaking.
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So I find it interesting from your
point of view, you were seeking this as
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a career being a, a pr rep. With your
experience there, with the baseball
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and then eventually going into the
Department of Safety, I mean, going from
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that vision of really wanting to be in
pr, really dealing with the public to
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then like, oh, okay, maybe you're in
a situation where now you're dealing
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with data, not necessarily the public.
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You know?
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Talk a little bit about that transition
and maybe how the, the PR stuff helped you
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once you started to get into the analysis.
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Yeah, I think that background
actually really became a benefit for
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me in early in my career, certainly.
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But now having a lot more distance from
that time of realizing how important those
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couple years were of that transition from
college writing of trying to fill five
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pages or 10 pages on a particular topic
to writing a profile on a baseball player,
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in which I only have so many column
inches that need to fit into that spot.
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And writing press releases about
game game sheets and things that
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are happening during the games for
the media, for the radio guys, and
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being as brief and as concise as
possible, but also getting all of the
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important things that I wanna share.
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Into their hands so that they're,
they're sharing that info.
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And really, like, that is so similar
to what I'm doing when I'm writing
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information bulletins for, for patrol
officers of taking that concept of
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a press release of who, what, where,
when, why, when was a graphic design
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look like, was a headline look like.
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I only need you to read that
headline and read that first
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sentence to know what's important.
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And if you keep reading amazing,
you're gonna get great stuff out of it.
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But if you don't, I still got the
concept that I wanted to get across
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and, and that was true for baseball
stuff and it's true today for when
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I'm writing about a burglary series.
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Alright.
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Nice.
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Let's get into you walking into
the minnesota Department of Public
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Safety, and as you said, you started
to establish the center a little bit.
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So just go into that fir those first
year or so of walking in the door
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and what you were able to accomplish.
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Yeah, that man, that first year was really
just the flood of information coming
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from federal intelligence agencies to the
states because of them getting dinged for
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not sharing info pre nine 11, and then
post nine 11 in the years after, after
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nine 11 of just a flood of information.
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So what the state of Minnesota decided
they needed was kind of a gatekeeper for
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that information of weeding out what's
not important versus what's important
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for law enforcement in Minnesota.
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So my job was to dismiss the
hurricane intel briefs that the
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federal government was sending.
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To make sure that our law enforcement
wasn't, wasn't being bombarded with those,
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knowing that when they opened something
from the fusion Center, that it was gonna
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be pertinent and, and timely for them.
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But not only were we doing that, I
had to help create the database of
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how were we gonna get that info to,
to the beginning was to police chiefs
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across the state of Minnesota and
sheriffs to get them that information.
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How would we create that
mechanism to, to deliver that?
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And so we created initially
it was an email database, well
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that's difficult to, to maintain.
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And so then it was working with third
party vendors to figure out is there
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a secure website where we can host
this data and, and sending that out.
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But that comes with its own
issues of law enforcement data.
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What can we house on a third party
vendor's website versus what needs to go
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out separately, more, maybe more securely.
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And really that, that balance of what
can we share and what can we not share?
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For the listeners, we're talking
2003 to 2007 timeframe here.
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Correct.
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So not a lot of social media
going along at this time.
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And a lot of departments are just
getting websites and as you mentioned,
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it's the, it's the period of time
post nine 11 where sharing, of data
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and training and just an explosion in
terms of information being out there
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for law enforcement, just for not only
Intel, but also training opportunities.
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, There would've been a lot going on.
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That was a, that was a
big gate to keep for you.
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It was in, in getting not only the
mechanism to push that information
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out, but also helping create those
public private partnerships of how
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do we get information to us of what.
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Those corporations we're seeing.
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So Minnesota is home to a lot of
Fortune 500 companies but also several
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fortune 1000 companies and how do we
get that info and as well as all of
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our critical infrastructure, especially
in the Twin Cities metro area.
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So when, I don't know if you remember
the 35 W Bridge collapse in, Minnesota,
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I believe that was in 2007, that the
Army Corps of Engineers, we had been
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sharing information with them on
just critical infrastructure stuff.
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So they had my contact info
when the bridge collapsed.
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And the Army Corps of Engineers
has offices right next to.
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Right on the, the Mississippi River
next to where the, the bridge collapsed.
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So there's a famous video that was
seen of the bridge literally collapsing
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into the water and outside the
Army Corps of Engineers, I was the
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first one in the world to see that
because we had a partnership with
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them and they had my contact info.
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So they called me right away and said,
how do we send this video to you?
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We think you can figure out how many cars
were on the bridge when it went down.
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But it was because of those relationships
that we'd established that, that they
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felt comfortable in sending that off
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to us.
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Yeah.
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And were you able to figure out how
many vehicles were on the bridge?
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That was such a crazy day.
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I had actually driven over that
bridge about an hour hour and
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a half before it collapsed.
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Wow.
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On my way home.
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And then got the call as I was running
some errands and got back into the
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office and , I did help the emergency
operation center, try to figure that
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out, but it also was getting that video.
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To as many stakeholders that we needed
to to help kind of figure out where
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the cars were, how many cars were on
there for the emergency responders
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that were responding to the scene.
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, When you're sending this
out, , is this email,
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in that particular one with that video?
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I can't remember exactly how, 'cause
we were in Minneapolis, mm-hmm.
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Our offices were in Minneapolis
and we were trying to get to
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the emergency operation center.
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I don't exactly remember.
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It was probably trying to get email
chunks of the video out at that time.
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Yeah.
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And then what was the cause
of the bridge collapsing?
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I, I vaguely remember this.
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Yeah,
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00:13:30,410 --> 00:13:33,890
it was under construction at the time, so.
234
00:13:33,920 --> 00:13:36,950
I believe the term was gusset
plates, that there was just some
235
00:13:36,950 --> 00:13:39,770
plates kind of holding the bridge
together, ended up failing mm-hmm.
236
00:13:40,850 --> 00:13:44,850
From years of weather deterioration,
but also then the weight of the
237
00:13:44,850 --> 00:13:47,675
construction and, and rush hour
traffic across it at that time.
238
00:13:48,760 --> 00:13:49,150
Oh man.
239
00:13:49,150 --> 00:13:49,720
That's awful.
240
00:13:49,900 --> 00:13:50,110
Yeah.
241
00:13:50,215 --> 00:13:50,635
. All right.
242
00:13:50,735 --> 00:13:55,175
I'm trying to put myself in your
shoes during this time period,
243
00:13:55,275 --> 00:14:00,105
I'm wondering, was there a, a
frustration with the data flow?
244
00:14:00,225 --> 00:14:05,505
Because obviously you're trying
to establish relationships with
245
00:14:05,505 --> 00:14:11,115
people and when pertinent, get the
data out as quickly as possible,
246
00:14:11,415 --> 00:14:15,405
but obviously the data that you're
dealing with is, is probably very
247
00:14:15,405 --> 00:14:16,665
different in different formats.
248
00:14:16,665 --> 00:14:18,645
Just like all analysts deal with that.
249
00:14:18,645 --> 00:14:24,245
It's the data's crazy and not
uniformed, and so you're trying
250
00:14:24,245 --> 00:14:26,735
your best to work with the data.
251
00:14:27,060 --> 00:14:28,800
And push the data out at the same time.
252
00:14:29,130 --> 00:14:29,400
Yeah.
253
00:14:29,400 --> 00:14:33,380
It was a really difficult time of
also just different stakeholders.
254
00:14:33,410 --> 00:14:33,500
Mm-hmm.
255
00:14:33,740 --> 00:14:39,060
So what's important to law enforcement
and police chiefs and sheriffs in northern
256
00:14:39,060 --> 00:14:42,840
Minnesota along the Canadian border
is completely different than what's
257
00:14:42,840 --> 00:14:45,180
important in a major metropolitan area.
258
00:14:45,300 --> 00:14:45,510
Mm-hmm.
259
00:14:45,780 --> 00:14:49,680
And so it was trying to not only figure
out how to disseminate stuff and,
260
00:14:49,680 --> 00:14:53,730
and what you were gonna disseminate,
but what was pertinent to different
261
00:14:53,730 --> 00:14:57,670
regions and different individuals
and also how much info to share.
262
00:14:57,670 --> 00:15:02,450
So I remember times where we would want
to be putting together threat briefings
263
00:15:02,450 --> 00:15:07,820
about a presidential visit, and it
had been reported in the Minneapolis
264
00:15:07,820 --> 00:15:11,390
Star Tribune in the newspaper that
the president was coming to town.
265
00:15:11,770 --> 00:15:15,830
And so we would be trying to figure out
where he would be going and, and helping
266
00:15:15,830 --> 00:15:20,210
the cities where he would be, come up
with threat assessments and then get
267
00:15:20,210 --> 00:15:24,470
pushback from the federal government that,
well, that's not official yet, so you
268
00:15:24,470 --> 00:15:26,810
can't publish that or broadcast that out.
269
00:15:26,810 --> 00:15:28,670
And you're like, well, it's
in the newspaper, like the
270
00:15:29,480 --> 00:15:30,950
10 o'clock news is reporting.
271
00:15:30,950 --> 00:15:32,060
He is gonna be here on Tuesday.
272
00:15:32,820 --> 00:15:37,350
So there's that frustration at the
time of just what, what was important
273
00:15:37,350 --> 00:15:41,770
to to me might not be important to a
big city police chief, but it might
274
00:15:41,770 --> 00:15:45,790
be important to a suburban police
chief or, or a rural police chief.
275
00:15:45,970 --> 00:15:46,330
Yeah.
276
00:15:46,390 --> 00:15:50,710
So how much autonomy do you
think you had during this time?
277
00:15:51,050 --> 00:15:51,945
I had, . So much
278
00:15:52,065 --> 00:15:55,915
autonomy to, to pick and choose because
I started as a first analyst, but
279
00:15:55,915 --> 00:15:59,545
then we grew and, and hired several
more analysts in the Intel Center.
280
00:15:59,545 --> 00:15:59,815
Mm-hmm.
281
00:15:59,871 --> 00:16:04,361
But because I was a first analyst,
I was able to set templates and
282
00:16:04,411 --> 00:16:06,811
formatting and, and subject matter.
283
00:16:06,811 --> 00:16:12,161
And so looking back at being whatever
I was at, at the time of 25 years
284
00:16:12,161 --> 00:16:16,421
old, 26 years old, and being to
kind of dictate what I believed was
285
00:16:16,421 --> 00:16:17,711
important intelligence for mm-hmm.
286
00:16:17,951 --> 00:16:22,156
Law enforcement officials yeah,
I, I had a lot of autonomy on, on
287
00:16:22,261 --> 00:16:25,321
formatting and, and what I, the
content of what I was putting out.
288
00:16:25,471 --> 00:16:27,721
I think that says a lot
about your judgment.
289
00:16:27,841 --> 00:16:31,231
So obviously if it wouldn't, I
wouldn't imagine it would take
290
00:16:31,231 --> 00:16:36,091
very long if you were making those
around you look bad that you would
291
00:16:36,091 --> 00:16:38,251
have such autonomy for very long.
292
00:16:38,401 --> 00:16:38,671
Sure.
293
00:16:38,671 --> 00:16:42,631
Given some of the high profile
information, and as you said,
294
00:16:42,631 --> 00:16:46,501
you get into politics and it's
that's a, that's a game in itself.
295
00:16:46,621 --> 00:16:47,221
Yeah.
296
00:16:47,311 --> 00:16:47,581
Yeah.
297
00:16:47,581 --> 00:16:52,331
And that at the time our governor
was, I think ran for president
298
00:16:52,391 --> 00:16:56,491
and so, or, or was mulling a run
for president around that time.
299
00:16:56,801 --> 00:17:02,471
So it was, it was super important that
that information be correct and timely.
300
00:17:02,501 --> 00:17:07,651
And because it was not only a reflection
on, on me and my superiors, but ultimately
301
00:17:07,711 --> 00:17:09,511
on, on the administration and the state
302
00:17:09,901 --> 00:17:13,211
Before we go on to Eden Prairie, is
there , anything else you wanna share
303
00:17:13,211 --> 00:17:15,341
regarding your time with the department?
304
00:17:15,341 --> 00:17:16,181
Public of safety?
305
00:17:16,551 --> 00:17:22,751
I learned so much about myself of just
breaking news and world events and
306
00:17:22,781 --> 00:17:27,911
trying to filter out what is that,
how is that world event important
307
00:17:27,911 --> 00:17:30,401
to what's happening in Minnesota?
308
00:17:30,401 --> 00:17:30,491
Mm-hmm.
309
00:17:30,731 --> 00:17:36,641
And then how do I take that complicated
event and parse that down to a
310
00:17:36,641 --> 00:17:40,601
couple paragraphs of what I think
is important and what I think are.
311
00:17:41,226 --> 00:17:43,776
Law enforcement, Minnesota
need to know about that event.
312
00:17:43,866 --> 00:17:45,696
And that really did help me a lot.
313
00:17:45,696 --> 00:17:49,026
One, once I got to a, a
local law enforcement agency.
314
00:17:49,176 --> 00:17:56,346
Yeah, I find that fascinating too, because
I remember as an analyst working and doing
315
00:17:56,346 --> 00:18:01,116
more case support type stuff and then
having a manager come in that says that
316
00:18:01,506 --> 00:18:06,936
once wanted a lot of strategic analysis
and wanted us to be finding stuff that
317
00:18:06,936 --> 00:18:13,116
happens halfway around the world and
how it impacts our local jurisdiction.
318
00:18:13,116 --> 00:18:16,716
And I remember that feeling that
that was like such a daunting task.
319
00:18:17,076 --> 00:18:20,396
'cause it just what was in front of
me at that point was a lot of local
320
00:18:20,396 --> 00:18:24,786
cases, a lot of local information
that was just local, let alone
321
00:18:24,786 --> 00:18:27,276
what was going on in the the state.
322
00:18:27,516 --> 00:18:31,996
The United States or even a different
different country altogether.
323
00:18:32,146 --> 00:18:36,556
So it's, and that we were, that
would've been around the same
324
00:18:36,556 --> 00:18:39,886
time that we're talking about
here, that I was asked to do that.
325
00:18:39,886 --> 00:18:43,876
So that was, it's fascinating that
you were able to establish that,
326
00:18:43,976 --> 00:18:49,246
flow from the big old world down
to the smallest jurisdiction.
327
00:18:49,366 --> 00:18:51,046
I mean, sometimes it was
hard though of mm-hmm.
328
00:18:51,286 --> 00:18:56,496
Just because at the time Al-Qaeda
bombed a, a train station in Madrid.
329
00:18:56,646 --> 00:19:01,626
Does that really have meaning
for law enforcement in, in
330
00:19:01,626 --> 00:19:03,006
Minneapolis and St. Paul?
331
00:19:03,336 --> 00:19:08,166
And so sometimes you're drawing meaning
on it because you think you should,
332
00:19:08,166 --> 00:19:10,716
but then you're taking a step back as
you're writing it and you're like, I
333
00:19:10,716 --> 00:19:14,646
don't, I don't know what my point is
in, in writing this outside of, oh,
334
00:19:14,646 --> 00:19:17,676
an event happened halfway across the
world, but does that mean that there
335
00:19:17,796 --> 00:19:19,716
we're also under a threat or not?
336
00:19:19,746 --> 00:19:24,966
And so soon after nine 11 that there
was that feeling of, well, everything
337
00:19:25,086 --> 00:19:26,976
could be a threat and should be a threat.
338
00:19:26,976 --> 00:19:29,196
So you almost have to over-report on it.
339
00:19:29,346 --> 00:19:29,736
Yeah.
340
00:19:29,766 --> 00:19:32,246
'cause it's, six in one hand,
half a dozen in the other.
341
00:19:32,296 --> 00:19:35,596
If you report it and it's
nothing, people like.
342
00:19:36,541 --> 00:19:40,261
Or wondering why, but if you, if you
didn't report it and it turned out to
343
00:19:40,261 --> 00:19:42,001
be something, people are wondering why?
344
00:19:42,181 --> 00:19:46,211
Well, and that's what and, and for
analysts in the Fusion Center, I remember
345
00:19:46,241 --> 00:19:50,601
a lot of our arguments of what to include
in bulletins was, was around that.
346
00:19:50,631 --> 00:19:51,351
Is that mm-hmm.
347
00:19:51,591 --> 00:19:55,181
If there's a, a large gathering
the All-Star game in, in
348
00:19:55,181 --> 00:19:58,871
Minneapolis, certainly that could
potentially be a target, right?
349
00:19:58,871 --> 00:19:58,961
Mm-hmm.
350
00:19:58,961 --> 00:20:03,041
It's on a world stage, but is a twins
game two weeks later that also is a
351
00:20:03,041 --> 00:20:05,261
sellout against the New York Yankees.
352
00:20:05,291 --> 00:20:07,571
Is that equal to as a threat?
353
00:20:07,571 --> 00:20:10,571
Should that get mentioned or That
just happens 81 times during the
354
00:20:10,571 --> 00:20:12,071
summer, so it's not a big deal.
355
00:20:12,191 --> 00:20:14,921
And those were, were struggles that
we went back and forth with in those
356
00:20:14,921 --> 00:20:19,781
early days of what was of note and
what's just an everyday occurrence.
357
00:20:19,931 --> 00:20:21,371
,
You just got me thinking.
358
00:20:21,371 --> 00:20:25,781
It was also right around this time where
the Department of Homeland Security
359
00:20:25,781 --> 00:20:28,211
would come up with those color markers.
360
00:20:28,631 --> 00:20:29,171
Yep.
361
00:20:29,351 --> 00:20:29,651
Yes.
362
00:20:29,681 --> 00:20:30,161
Right.
363
00:20:30,161 --> 00:20:32,741
The different we yellow
shades of like orange.
364
00:20:32,771 --> 00:20:34,121
Yes, yes.
365
00:20:34,121 --> 00:20:38,021
And it was like, and it was just that,
that moment where like see something, say
366
00:20:38,021 --> 00:20:44,221
something there was different, different
campaigns and to, to try to to go, just
367
00:20:44,221 --> 00:20:49,701
go about doing your everyday business
or high alert or there was just, they
368
00:20:49,701 --> 00:20:55,161
were trying their best to come up with
a system that folks could understand,
369
00:20:55,161 --> 00:20:57,201
but still somehow be actionable.
370
00:20:57,201 --> 00:20:59,961
And I, I don't, I don't think they
still have it, so I don't think it,
371
00:21:00,166 --> 00:21:01,881
it did what it was supposed to do.
372
00:21:02,061 --> 00:21:05,991
No, because it, well, every time
you're at high alert and then nothing
373
00:21:05,991 --> 00:21:08,631
happens, everyone's like, well,
did we need to be at high alert?
374
00:21:08,661 --> 00:21:12,051
But was it negated because
you were on high alert.
375
00:21:12,141 --> 00:21:13,011
And so it's really hard.
376
00:21:13,011 --> 00:21:17,441
I mean, it's no different than, than
crime data on the local level of it.
377
00:21:17,471 --> 00:21:21,251
Did you actually prevent it from
happening or did it just not happen?
378
00:21:21,626 --> 00:21:21,926
Yeah,
379
00:21:22,556 --> 00:21:22,826
that's,
380
00:21:22,886 --> 00:21:23,876
that's interesting.
381
00:21:24,236 --> 00:21:24,476
Hmm.
382
00:21:24,806 --> 00:21:27,866
Alright, well let's, move
on then to Eden Prairie.
383
00:21:27,896 --> 00:21:32,756
And so this transition from going
from the state to this local
384
00:21:32,756 --> 00:21:34,736
jurisdiction, how did that come about?
385
00:21:34,836 --> 00:21:39,306
It was a supervi, well, captain from
Eden Prairie Police Department was
386
00:21:39,336 --> 00:21:44,616
on loan to the state of Minnesota to
help create the Intel Center mm-hmm.
387
00:21:44,856 --> 00:21:47,286
And get it started with
policies and procedures.
388
00:21:47,286 --> 00:21:52,756
And he realized that the future of
law enforcement was going to be.
389
00:21:53,071 --> 00:21:58,321
Kinda Intel led policing in that Eden
Prairie, which is now a agency of
390
00:21:58,321 --> 00:22:05,461
about 75 officers 15 miles southwest
of, of Minneapolis that they needed to
391
00:22:05,461 --> 00:22:08,161
lead the way and hire a crime analyst.
392
00:22:08,161 --> 00:22:13,141
So I believe I was the first or second
suburban crime analyst in the state
393
00:22:13,141 --> 00:22:17,031
and probably one of the first 10 crime
analysts in the state of Minnesota.
394
00:22:17,151 --> 00:22:21,651
But because I knew him, I was able
to help kind of create that position
395
00:22:21,651 --> 00:22:24,661
profile that certainly fit my.
396
00:22:25,016 --> 00:22:26,216
My background.
397
00:22:26,436 --> 00:22:28,686
So it was a pretty easy
hiring process for me.
398
00:22:28,836 --> 00:22:32,136
But then, then I guess what
about the transition though?
399
00:22:32,136 --> 00:22:33,966
And, and maybe that's
what you're getting at.
400
00:22:33,966 --> 00:22:37,866
You were able to ac custo,
customize it for you.
401
00:22:37,896 --> 00:22:43,536
Just that, that transition going from
the state level to to Eden Prairie,
402
00:22:43,536 --> 00:22:46,296
because just for the listeners,
how, how big is Eden Prairie?
403
00:22:46,446 --> 00:22:50,776
So it's about 60,000 people
with a suburban mall.
404
00:22:50,776 --> 00:22:56,646
And I think there's three Fortune 500
companies headquartered in Eden Prairie.
405
00:22:56,716 --> 00:23:00,886
We also have the third largest Somali
population in the state of Minnesota.
406
00:23:00,986 --> 00:23:04,306
And a large Indian population
fairly affluent neighborhoods.
407
00:23:04,426 --> 00:23:09,626
But it was as far as transition,
it certainly helped that I
408
00:23:09,626 --> 00:23:11,006
was the first analyst mm-hmm.
409
00:23:11,246 --> 00:23:12,206
Hired by Eden Prairie.
410
00:23:12,466 --> 00:23:17,106
Because just like my job with the
state, I was able to create the position
411
00:23:17,106 --> 00:23:18,606
into what I had in my head mm-hmm.
412
00:23:18,846 --> 00:23:23,656
Without having to follow in somebody
else's footsteps and hear well,
413
00:23:23,656 --> 00:23:26,476
that's not how that person did
it, or this is how we've done it.
414
00:23:26,596 --> 00:23:32,036
So it was every new product that I did
was, you know a success just because
415
00:23:32,036 --> 00:23:33,776
they had nothing to compare it to.
416
00:23:33,916 --> 00:23:37,666
But it was a struggle for me
initially of go looking at that
417
00:23:37,666 --> 00:23:42,196
global and statewide level and
creating information and bulletins
418
00:23:42,196 --> 00:23:44,746
intel for patrol officers and what.
419
00:23:45,121 --> 00:23:50,731
Helped me the most was when I would
write those intel bulletins of being in
420
00:23:50,731 --> 00:23:56,011
roll call when they're passing it around
and seeing it, and really focusing on
421
00:23:56,161 --> 00:24:01,051
their body language of did they spend
a lot of time on that or did they
422
00:24:01,051 --> 00:24:04,801
just glance at it because I was in the
room but didn't really care about it.
423
00:24:04,921 --> 00:24:09,151
And I realized that when I was focusing
on those kind of global, like events
424
00:24:09,241 --> 00:24:12,601
that I had focused on with the state,
that those were the ones that weren't
425
00:24:12,601 --> 00:24:14,811
getting a whole lot of you know.
426
00:24:15,171 --> 00:24:17,691
Extra gaze on, on the piece of paper.
427
00:24:17,691 --> 00:24:23,061
But when I was focusing on the more
local level stuff, that naturally that's
428
00:24:23,061 --> 00:24:24,381
what they were more interested in.
429
00:24:24,381 --> 00:24:26,721
Where's the warrants,
where's the burglary suspect?
430
00:24:26,901 --> 00:24:29,511
Where are the thefts gonna occur?
431
00:24:29,511 --> 00:24:32,211
What's the background on
that, that domestic assault
432
00:24:32,211 --> 00:24:33,651
that we had the other night?
433
00:24:33,771 --> 00:24:33,861
Mm-hmm.
434
00:24:34,101 --> 00:24:36,681
And so that really became
my focus on, on that.
435
00:24:36,956 --> 00:24:42,236
That really micro level or if there were
global events, how did that, I had to
436
00:24:42,266 --> 00:24:46,376
figure out, back to that press release of
how to get their attention of how I think
437
00:24:46,376 --> 00:24:52,516
that global event pertains to their job
and their job in the next 12 or 24 hours.
438
00:24:52,696 --> 00:24:52,936
Hmm.
439
00:24:53,146 --> 00:24:54,046
And then interesting.
440
00:24:54,076 --> 00:25:00,196
'cause I, I, I found as I talk with
analysts over the years and in similar
441
00:25:00,196 --> 00:25:05,836
situations to you where they were the
first analysts at a police department and,
442
00:25:06,376 --> 00:25:10,006
and sometimes the, the fir it's the fir
their, they're our first time analyst.
443
00:25:10,306 --> 00:25:11,066
This, at least in your case.
444
00:25:11,066 --> 00:25:11,271
Mm-hmm.
445
00:25:11,351 --> 00:25:13,846
At least it was, this was your
least your second go around.
446
00:25:13,996 --> 00:25:21,286
And, but I, I, that aspect of just
creating the position and, and
447
00:25:21,286 --> 00:25:28,676
figuring it out, and in hindsight in
my career, I, did a lot better being
448
00:25:28,676 --> 00:25:30,926
part of like an established team.
449
00:25:31,251 --> 00:25:34,491
As opposed to trying to cut my own path.
450
00:25:34,581 --> 00:25:40,311
And, but some people really enjoyed
being in that situation where they
451
00:25:40,311 --> 00:25:41,541
were able to make it their own,.
452
00:25:41,721 --> 00:25:44,181
And sounds like that you
were in that same boat.
453
00:25:44,331 --> 00:25:44,781
Yeah.
454
00:25:44,781 --> 00:25:48,661
, As the Intel Center grew I
still am, am really good friends
455
00:25:48,661 --> 00:25:49,771
with several of the analysts.
456
00:25:49,781 --> 00:25:54,521
That started with me at the Intel
Center, but because I was the first
457
00:25:54,521 --> 00:25:59,241
one and I had my ideas of how it was
gonna go it was sometimes a struggle
458
00:25:59,241 --> 00:26:04,371
for me to, have some other people in
the room with some other opinions about
459
00:26:04,371 --> 00:26:06,441
the projects that I wanted to work on.
460
00:26:06,771 --> 00:26:11,181
And so I've, I've found it actually
a little bit easier for me, not of,
461
00:26:11,181 --> 00:26:15,501
not sharing, but of, of being the
one to kind of take the lead on,
462
00:26:15,561 --> 00:26:18,501
on, especially now on, on cases.
463
00:26:18,551 --> 00:26:21,581
And just to be able to be a
part of kind of everything.
464
00:26:21,701 --> 00:26:21,911
Hmm.
465
00:26:22,271 --> 00:26:25,031
So you talk about the
struggles in the beginning.
466
00:26:25,396 --> 00:26:30,596
And I think analysts talk about
this a lot, that the frustration
467
00:26:30,596 --> 00:26:34,106
of either no one reads the emails,
no one reads the bulletins.
468
00:26:34,346 --> 00:26:37,846
I think Steve Gottlieb once said
he purposely put the bulletins
469
00:26:37,846 --> 00:26:42,336
on colored paper so then he could
check the garbage can after patrol
470
00:26:42,366 --> 00:26:43,656
to see how many were in there.
471
00:26:43,656 --> 00:26:44,856
You could easily see 'em.
472
00:26:45,306 --> 00:26:50,656
But for you though, as you, as you
talked about this, I am fascinated
473
00:26:50,656 --> 00:26:54,801
to know, given your background, we're
going back to the fact that you,
474
00:26:54,806 --> 00:27:02,306
you went school was communications,
you, you have that discipline of pr.
475
00:27:02,456 --> 00:27:06,626
What was your process of going
through and said, okay, this is,
476
00:27:06,956 --> 00:27:12,836
this stuff isn't working, going
through and, and basically working
477
00:27:12,836 --> 00:27:14,936
it out until things started to work?
478
00:27:15,026 --> 00:27:18,026
Well, it was making sure I was.
479
00:27:18,431 --> 00:27:19,691
Doing Ridealongs early on.
480
00:27:19,691 --> 00:27:19,781
Mm-hmm.
481
00:27:20,081 --> 00:27:24,341
And just kinda getting a feel
for what they were interested
482
00:27:24,341 --> 00:27:29,411
in and what the problems were
that maybe I could help solve.
483
00:27:29,501 --> 00:27:29,621
Mm-hmm.
484
00:27:29,861 --> 00:27:35,741
And it was that, again, that body language
of every time I wrote an advisory, I
485
00:27:35,741 --> 00:27:37,511
would make sure it was done before.
486
00:27:37,566 --> 00:27:40,116
We have a roll call at, we have
several roll calls throughout
487
00:27:40,116 --> 00:27:43,296
the day, but there was always one
at two o'clock in the afternoon.
488
00:27:43,296 --> 00:27:46,236
So I would make sure that that
advisory or bulletin would be
489
00:27:46,236 --> 00:27:48,246
done right before two o'clock.
490
00:27:48,276 --> 00:27:51,996
And then I would personally hand it
out and just read that body language
491
00:27:51,996 --> 00:27:56,706
and knowing that nobody ever or
rarely would turn to the second page.
492
00:27:56,826 --> 00:27:59,916
So it was obvious to me that
it had to be on one page.
493
00:27:59,916 --> 00:28:00,006
Mm-hmm.
494
00:28:00,221 --> 00:28:04,116
And then I don't do a lot of maps because.
495
00:28:04,476 --> 00:28:10,936
They know where the if I am writing about
robberies of gas stations in, in the
496
00:28:10,936 --> 00:28:15,316
metro and the gas stations that are being
robbed at three in the morning, well,
497
00:28:15,316 --> 00:28:21,076
they know which of the two gas stations
are open 24 hours a day in Eden Prairie.
498
00:28:21,076 --> 00:28:23,206
I don't need a map to
map that out for them.
499
00:28:23,596 --> 00:28:28,671
So that freed up space in my
head on, on the page of other
500
00:28:28,671 --> 00:28:30,561
information that I could include.
501
00:28:30,681 --> 00:28:34,581
So it really ended up being not only
what am I writing and getting back
502
00:28:34,581 --> 00:28:38,391
to that kind of baseball stuff of,
and that press release stuff of who
503
00:28:38,391 --> 00:28:44,361
I where when, but also that graphic
design mentality of what does my
504
00:28:44,481 --> 00:28:47,391
advisory look like and how can it be.
505
00:28:47,961 --> 00:28:49,191
Incredibly functional.
506
00:28:49,281 --> 00:28:56,361
So I want it to look similar every time,
knowing that when they're going, I write
507
00:28:56,361 --> 00:29:01,191
about a burglary series and they're
going to a burglary or an alarm call,
508
00:29:01,311 --> 00:29:04,821
and they remember that I wrote something
about that burglary series, and they're
509
00:29:04,821 --> 00:29:09,561
bringing it up in their squad laptop,
driving 70 miles an hour to, to that
510
00:29:09,561 --> 00:29:14,631
burglary that I've trained their eyes
of where they need to look of where is
511
00:29:14,631 --> 00:29:19,261
that suspect always on top, on the left
picture of the vehicle is always on
512
00:29:19,261 --> 00:29:23,761
the top, on the right, because that's
gonna pop up first in, in their laptop.
513
00:29:23,881 --> 00:29:28,861
And then in the headline is, is there
weapons that's always capitalized or
514
00:29:28,861 --> 00:29:33,031
in read and certain things that are in
bold and they really just need to read.
515
00:29:33,111 --> 00:29:36,291
Like a press release that first
sentence or that first two sentences.
516
00:29:36,351 --> 00:29:40,401
And then everything below that on that
page is really justifying how I got to.
517
00:29:40,806 --> 00:29:42,096
Writing that first sentence.
518
00:29:42,246 --> 00:29:42,486
Yeah.
519
00:29:42,486 --> 00:29:47,086
Well, I like, I like the standard as
you said, it, it trains their eye.
520
00:29:47,186 --> 00:29:52,206
I think that the first point that you
make, almost, outweighs the graphic design
521
00:29:52,206 --> 00:29:56,296
in a way, you need to understand what
information that they're looking for, what
522
00:29:56,296 --> 00:29:58,996
information is most pertinent to them.
523
00:29:59,116 --> 00:30:00,916
And you did that by getting to know them.
524
00:30:01,141 --> 00:30:01,361
Yes.
525
00:30:01,361 --> 00:30:06,646
And so the information gr granted,
yes, a good, a good bulletin has
526
00:30:06,646 --> 00:30:09,986
to have, a solid graphic design.
527
00:30:10,016 --> 00:30:15,356
But I think honing your skills in
to say, okay, this is what they're
528
00:30:15,356 --> 00:30:17,726
after, this is what they want to know.
529
00:30:17,726 --> 00:30:19,406
This is what they need to know.
530
00:30:19,636 --> 00:30:24,406
It could be the best graphic designed in
the world, and if it's information that
531
00:30:24,406 --> 00:30:28,096
they don't care about, it's they're not
getting past page two, just as you said.
532
00:30:28,246 --> 00:30:28,576
Sure.
533
00:30:28,576 --> 00:30:30,466
And it, it also is where.
534
00:30:30,836 --> 00:30:35,636
I have certain products that I write a
monthly comp stat, the, the bulletins
535
00:30:35,696 --> 00:30:37,976
some, certainly some, some monthly stats.
536
00:30:37,976 --> 00:30:43,776
But from the beginning my focus on
on the bulletins was my audience is
537
00:30:43,896 --> 00:30:46,146
for this product is patrol officers.
538
00:30:46,151 --> 00:30:46,161
Mm-hmm.
539
00:30:46,446 --> 00:30:51,106
And so it's really trying to deliver
it just for everybody in the department
540
00:30:51,106 --> 00:30:58,456
sees my stuff, but what specifically
do those 35 40 officers need to see and
541
00:30:58,456 --> 00:31:01,426
what is that information that, they want?
542
00:31:01,606 --> 00:31:06,316
And they've been really good over the
years of, of sending me that info.
543
00:31:06,316 --> 00:31:10,696
Maybe they're on a suspicious call that
really end up being like a dumpster
544
00:31:10,696 --> 00:31:13,816
diver in the middle of the night, but
they just got a weird feeling about.
545
00:31:14,091 --> 00:31:16,041
Maybe something else
that they couldn't prove.
546
00:31:16,046 --> 00:31:16,196
Mm-hmm.
547
00:31:16,281 --> 00:31:19,561
And I'm getting those emails daily
from two in the morning of them just
548
00:31:19,561 --> 00:31:23,131
saying, Hey, check this body cam, see
if there's something more to that.
549
00:31:23,191 --> 00:31:27,511
And a lot of times that's the information
that I use to turn around to send out
550
00:31:27,511 --> 00:31:29,101
to, to the rest of the department.
551
00:31:29,251 --> 00:31:29,491
Yeah.
552
00:31:29,551 --> 00:31:33,451
So I mean, and it's, and it, I mean,
I think that's one of the, I think
553
00:31:33,451 --> 00:31:38,371
one of the, one of the beauties of
working in such a small jurisdiction
554
00:31:38,371 --> 00:31:43,831
where you're dealing with 30, as you
said, 30 officers, there is, while
555
00:31:43,831 --> 00:31:48,301
you are maybe the sole analyst and
have to be the jack of all trades,
556
00:31:48,871 --> 00:31:50,941
almost everything goes through you.
557
00:31:51,241 --> 00:31:57,971
So you're, you're aware of so much more of
taking the temperature of the town because
558
00:31:58,011 --> 00:32:03,001
everybody's going through you asking for
stuff so you can remember what you did
559
00:32:03,001 --> 00:32:07,361
last month or two years ago , and it might
be important now do you feel that way?
560
00:32:07,361 --> 00:32:12,281
Do you feel that like, hey because it's
smaller, it was a lot easier on you to
561
00:32:12,531 --> 00:32:15,141
kind of deal with all these, requests.
562
00:32:15,381 --> 00:32:16,401
Absolutely.
563
00:32:16,431 --> 00:32:21,651
I, I feel bad for analysts that are in
really large departments that are sending
564
00:32:21,771 --> 00:32:27,611
maybe really good information out to
500 officers or a thousand officers, but
565
00:32:27,611 --> 00:32:33,371
you're not getting that immediate feedback
of, was this helpful or not helpful?
566
00:32:33,461 --> 00:32:35,441
Just because you're, you're
separate from them and.
567
00:32:35,731 --> 00:32:40,091
Being in a mid-size agency, smaller
agency I'm able to, to really
568
00:32:40,091 --> 00:32:43,871
get that immediate feedback of
was this helpful or not helpful?
569
00:32:43,871 --> 00:32:48,751
And taking that information and
using it for, my next, product.
570
00:32:54,271 --> 00:32:58,516
Hi, this is Sean Fisher and at my
work we're known as the Nerdery.
571
00:32:59,191 --> 00:33:00,391
We're proud of it.
572
00:33:00,511 --> 00:33:01,861
Embrace who you are.
573
00:33:02,221 --> 00:33:04,801
Hi, this is Angela Becker
Hines, and I just wanna remind
574
00:33:04,801 --> 00:33:06,211
you to give yourself a break.
575
00:33:06,301 --> 00:33:09,541
As analysts, we strive to have all
the officers in our department utilize
576
00:33:09,541 --> 00:33:13,021
our skills, and we typically want
to be everything to everyone and
577
00:33:13,021 --> 00:33:15,391
do everything we can each day, but.
578
00:33:15,471 --> 00:33:18,651
Work is much more manageable and less
stressful if you embrace the fact that
579
00:33:18,651 --> 00:33:23,181
it's okay to take some time for yourself
and maybe even to say no once in a while,
580
00:33:23,421 --> 00:33:27,141
in analysis and in life, you have to
give yourself a break or you risk burning
581
00:33:27,141 --> 00:33:28,761
out and then you're no good to anyone.
582
00:33:29,001 --> 00:33:31,371
So just remember it's okay
to give yourself a break.
583
00:33:32,641 --> 00:33:35,851
Hi, I'm Matt Sessions learning and
research consultant with the Cambridge
584
00:33:35,851 --> 00:33:37,531
Center for Evidence-Based Policing.
585
00:33:37,591 --> 00:33:42,491
And my public service
announcement, is around pet peeves.
586
00:33:42,851 --> 00:33:49,121
And my pet peeve is when people say they
love coffee and they only drink either
587
00:33:49,121 --> 00:33:51,581
fancy milk-based coffees with syrup.
588
00:33:51,641 --> 00:33:53,741
Or they just drink instant coffee.
589
00:33:54,131 --> 00:33:59,891
I will even turn down an instant coffee
if it's the only thing available and I'm
590
00:33:59,951 --> 00:34:04,361
gonna have to put up with a no caffeine
headache because I'm so stubborn around
591
00:34:04,361 --> 00:34:06,371
this, and I will die on that hill.
592
00:34:12,023 --> 00:34:14,123
Alright, well let's get into a case then.
593
00:34:14,123 --> 00:34:17,333
This brings us to your analyst
badge story and for those that maybe
594
00:34:17,333 --> 00:34:20,963
knew the show, the analyst badge
story is the career defining case
595
00:34:20,963 --> 00:34:23,213
or project that an analyst works.
596
00:34:23,603 --> 00:34:29,233
And so we're talking it's about
2015 now and you are working
597
00:34:29,233 --> 00:34:31,123
on a business burglary series.
598
00:34:31,303 --> 00:34:37,663
Yeah, I we had a series of business
burglaries around the metro where the
599
00:34:37,803 --> 00:34:43,663
criminal was breaking into businesses
kind of shortly after sunset and
600
00:34:43,753 --> 00:34:47,593
strip malls and office parks where
it would not be abnormal to have.
601
00:34:47,758 --> 00:34:51,868
A car parked out front, but also most
of those businesses were closed, so it
602
00:34:51,868 --> 00:34:56,128
was easy for him to see whether anybody
was still at the business or not.
603
00:34:56,248 --> 00:35:02,818
And I was putting together, I I,
I like to be the lead analyst for,
604
00:35:02,908 --> 00:35:07,348
for metro wide stuff to be helpful
for, for other police agencies.
605
00:35:07,498 --> 00:35:11,578
And, and, but also more importantly
for, for Eden Prairie, so that
606
00:35:11,578 --> 00:35:14,168
we have the best intel in-house.
607
00:35:14,258 --> 00:35:19,538
And I was able to piece together
kind of a, a, a timeline and start
608
00:35:19,538 --> 00:35:24,068
to forecast where I believe that
the, the suspect was gonna hit.
609
00:35:24,188 --> 00:35:27,848
And when I went to my supervisor
who wanted to do surveillance.
610
00:35:27,903 --> 00:35:32,433
To on the suspects to try to get
a tracker on the car, but also
611
00:35:32,433 --> 00:35:33,903
to, to catch him in the act.
612
00:35:33,973 --> 00:35:38,323
I said he's gonna hit sometime this
week but I can't tell you what day.
613
00:35:38,323 --> 00:35:43,903
So if we are only gonna focus on one
day, I am almost positive, 90% positive
614
00:35:43,903 --> 00:35:46,213
that he is gonna hit on Sunday.
615
00:35:46,243 --> 00:35:50,353
And if we do surveillance, it's
gonna be sometime between 11 and,
616
00:35:50,353 --> 00:35:52,183
and three o'clock or four o'clock.
617
00:35:52,273 --> 00:35:55,813
And so that's when we did, we
set up and did surveillance,
618
00:35:55,813 --> 00:35:58,603
and I was off by 10 minutes.
619
00:35:59,063 --> 00:36:01,873
The suspect hit 10 minutes before 11.
620
00:36:02,183 --> 00:36:04,883
But we were up doing surveillance
since our, our detectives were
621
00:36:04,883 --> 00:36:06,233
there to, to catch him in the act.
622
00:36:06,233 --> 00:36:12,413
But I got, a lot of crap for that, of,
of being, being wrong as they said.
623
00:36:12,413 --> 00:36:17,543
But it, it did help as a badge of an
analyst badge of being held up of, of
624
00:36:17,543 --> 00:36:22,523
my value to the department, but also
not only of, of helping catch a burglar,
625
00:36:22,523 --> 00:36:26,423
but of the efficiency of people's time.
626
00:36:26,693 --> 00:36:26,783
Mm-hmm.
627
00:36:27,023 --> 00:36:31,733
To be able to forecast out where he was
gonna hit and, and when he was gonna hit.
628
00:36:31,913 --> 00:36:34,823
What made you so confident
it was gonna be Sunday?
629
00:36:34,973 --> 00:36:38,723
It was well it was also Super
Bowl Sunday, so we knew that.
630
00:36:38,723 --> 00:36:38,733
Mm-hmm.
631
00:36:38,798 --> 00:36:42,483
Really no one was gonna be it was gonna
be quiet and not around, but mm-hmm.
632
00:36:42,723 --> 00:36:46,573
When I had kind of figured out the
pattern that he had hit I think
633
00:36:46,573 --> 00:36:51,283
the four previous Sundays he was,
he was one of those burglars that
634
00:36:51,283 --> 00:36:55,523
was hitting a hundred businesses
in a month or a month and a half.
635
00:36:55,523 --> 00:36:57,353
So he is fairly prolific.
636
00:36:57,423 --> 00:37:01,233
And that's where my confidence
was, was, was in, in just that
637
00:37:01,233 --> 00:37:02,643
pattern from the previous month.
638
00:37:03,293 --> 00:37:07,583
Now, given that it was a burglary
and it's happening on the weekend,
639
00:37:07,588 --> 00:37:12,208
why were you con confident that he
was actually burglarizing on Sunday?
640
00:37:12,358 --> 00:37:16,958
Was the data such that people were
figuring out, discovering it that
641
00:37:17,108 --> 00:37:20,498
it must have happened between this
time and this time on a, Sunday?
642
00:37:20,888 --> 00:37:21,308
Yeah.
643
00:37:21,308 --> 00:37:24,908
Some of it was just on Monday morning
when they'd realized that the place
644
00:37:24,908 --> 00:37:28,028
was burglarized, that they would say it
happened sometime over the weekend, but
645
00:37:28,028 --> 00:37:32,288
it was going through that pattern of, of
sometimes there was surveillance video.
646
00:37:32,378 --> 00:37:32,648
Mm-hmm.
647
00:37:33,178 --> 00:37:36,778
To kind of narrow down when he was
doing it, and then just knowing his.
648
00:37:37,233 --> 00:37:38,373
Pattern of that.
649
00:37:38,373 --> 00:37:42,093
So even the ones that were just, it
happened sometime over the weekend that
650
00:37:42,093 --> 00:37:46,803
we had good enough data for me to be able
to say, well, even though it happened
651
00:37:46,803 --> 00:37:50,613
sometime over the weekend, I'm pretty
sure it happened Sunday, early afternoon.
652
00:37:50,793 --> 00:37:51,483
Yeah, yeah.
653
00:37:51,488 --> 00:37:51,588
I,
654
00:37:51,628 --> 00:37:54,633
I, I really enjoy the, the burglaries.
655
00:37:55,638 --> 00:37:58,743
Not that, not that I wish for victims
to be burglarized or anything, but I,
656
00:37:58,923 --> 00:38:03,063
I find them fascinating that, that,
that they're us, especially when you
657
00:38:03,063 --> 00:38:08,113
have a, a series and there's a pattern
there's the, profile and, working
658
00:38:08,113 --> 00:38:09,853
its way out, just as you did here.
659
00:38:09,853 --> 00:38:11,563
I, I really do find them.
660
00:38:11,918 --> 00:38:13,148
Fascinating.
661
00:38:13,248 --> 00:38:13,698
I agree.
662
00:38:13,698 --> 00:38:15,708
I love a good burglary series.
663
00:38:15,788 --> 00:38:19,268
A lot of times it's because you're
trying to figure out kind of what that.
664
00:38:19,568 --> 00:38:22,868
That pattern is usually, there's
decent data, especially now
665
00:38:22,873 --> 00:38:24,128
of, of surveillance video.
666
00:38:24,128 --> 00:38:27,368
So you have really good timestamps
of when it happened, but it also
667
00:38:27,368 --> 00:38:30,783
seems like burglars are kind of
creatures of habit and so mm-hmm.
668
00:38:30,863 --> 00:38:33,758
Even if they're caught, once they
get back out, they're gonna go back
669
00:38:33,818 --> 00:38:37,388
to that same type of victim of Yeah.
670
00:38:37,388 --> 00:38:41,198
Whether it's residential burglars
seem to do residential burglaries and
671
00:38:41,198 --> 00:38:45,278
business burglaries seem to do burglars,
seem to do business burglaries and
672
00:38:45,278 --> 00:38:47,198
they don't overlap with each other.
673
00:38:47,468 --> 00:38:52,958
And we, we've had several burglars
that we've caught three or four times
674
00:38:52,958 --> 00:38:56,648
now in my career where it's the same
burglar hitting the same type of,
675
00:38:56,678 --> 00:39:00,728
of venues almost, where it's getting
easy of like, oh, this type of.
676
00:39:01,493 --> 00:39:04,853
Burglary occurred in this office
park during this timeframe.
677
00:39:05,003 --> 00:39:09,353
Let me go see if, if that burglar is,
is out of custody and out of prison.
678
00:39:09,573 --> 00:39:13,323
Sure enough, and, and in this
case, this burglar's name was Brian
679
00:39:13,323 --> 00:39:16,123
Williams, but we had had him again.
680
00:39:16,153 --> 00:39:21,493
This was, that case was 2013 and
I think we had him again in 2018
681
00:39:21,493 --> 00:39:24,013
and then again a year or two ago.
682
00:39:24,073 --> 00:39:26,953
So you just know when he gets
out, he is just gonna go back to
683
00:39:26,953 --> 00:39:28,633
the, those same types of victims.
684
00:39:29,293 --> 00:39:33,893
Well, that's when you, you you go
back to your pr skills and just go
685
00:39:33,893 --> 00:39:36,983
to corrections and like, Hey, can
you just gimme a heads up when this
686
00:39:36,983 --> 00:39:38,483
guy's gonna be released next time?
687
00:39:38,663 --> 00:39:42,743
Oh, there's several that, that i, I keep
an eye on of when their release date is.
688
00:39:44,573 --> 00:39:45,793
That's really good.
689
00:39:45,843 --> 00:39:47,853
How many burglaries were
there total in that case?
690
00:39:48,033 --> 00:39:48,603
Remember, I think in
691
00:39:48,603 --> 00:39:54,033
all of his series, it's usually
been between 102 hundred
692
00:39:54,033 --> 00:39:57,153
burglaries that he's done, which,
which is what his signature is.
693
00:39:57,153 --> 00:39:58,083
So that's how we know.
694
00:39:58,413 --> 00:40:03,143
That it's him, that there's no strip mall
burglaries or business park burglaries
695
00:40:03,143 --> 00:40:06,683
in the Twin Cities, and then all of
a sudden everybody's getting hit.
696
00:40:07,493 --> 00:40:07,613
Oh man.
697
00:40:07,823 --> 00:40:08,273
Yeah.
698
00:40:08,333 --> 00:40:14,453
So I remember after we had gotten him, I
think in that 2013, if I remember correct,
699
00:40:14,453 --> 00:40:18,743
when he, he was at a halfway house in
Rochester, and then I saw information from
700
00:40:18,743 --> 00:40:20,603
Rochester that they were getting hit with.
701
00:40:20,723 --> 00:40:25,223
It was like 75 or a hundred burglaries
in a really short timeframe.
702
00:40:25,223 --> 00:40:29,783
And they had some suspect photos and right
away it was helping Rochester PD out that,
703
00:40:29,783 --> 00:40:31,853
Hey, I'm pretty sure this is your suspect.
704
00:40:32,063 --> 00:40:32,843
Well, there you go.
705
00:40:32,843 --> 00:40:35,093
Now we know why they go back.
706
00:40:36,083 --> 00:40:40,283
It's taken them, if they can get away with
it a hundred times before they get caught,
707
00:40:40,313 --> 00:40:45,993
they're that's, oh man, that is, that is
something that's, that's, that's a lot.
708
00:40:45,993 --> 00:40:49,453
Then for the businesses, you could
do some target hardening and do
709
00:40:49,453 --> 00:40:55,293
some PR there of trying to do a pop
project maybe of like, Hey, you might
710
00:40:55,293 --> 00:40:57,003
wanna tighten up your security here.
711
00:40:57,303 --> 00:41:00,303
Certainly we've done that, but
in those types of businesses,
712
00:41:00,303 --> 00:41:01,863
it's always a glass front door.
713
00:41:01,863 --> 00:41:06,473
So if you smashing that it's, it's hard to
kind of harden it outside of making sure
714
00:41:06,473 --> 00:41:12,293
that you're not leaving the petty cash
in the top drawer at the reception desk.
715
00:41:12,653 --> 00:41:13,133
Oh, man.
716
00:41:13,313 --> 00:41:13,703
Yeah.
717
00:41:13,853 --> 00:41:14,573
Interesting.
718
00:41:14,753 --> 00:41:19,273
As I mentioned in your intro
you've represented the, the police
719
00:41:19,273 --> 00:41:24,373
department and like in a couple of
high profile events there, whether
720
00:41:24,373 --> 00:41:28,598
it's the national convention or
the Super Bowl, or even the, the.
721
00:41:29,358 --> 00:41:31,308
United Healthcare, CEO funeral.
722
00:41:31,458 --> 00:41:35,348
So I guess just as you're the
analyst there in, in those
723
00:41:35,348 --> 00:41:37,118
situations, what was your role,
724
00:41:37,218 --> 00:41:40,008
In those instances,
like for the Super Bowl?
725
00:41:40,038 --> 00:41:44,298
At the time the Minnesota Vikings
headquarters were in Eden Prairie.
726
00:41:44,883 --> 00:41:48,693
And so that was the home of
the Patriots for that week.
727
00:41:48,693 --> 00:41:54,573
And so it was providing social media
monitoring and intel of certainly
728
00:41:54,573 --> 00:41:57,963
world events and any potential threats
in, in the Twin Cities that may
729
00:41:57,963 --> 00:42:00,273
affect winter Park or the Patriots.
730
00:42:00,273 --> 00:42:04,333
And then also helping out in the
emergency operation center with any
731
00:42:04,333 --> 00:42:08,683
potential threats and intel that was
happening around all of the events
732
00:42:08,683 --> 00:42:12,283
that, that come with the Super Bowl
and in the Twin Cities that week.
733
00:42:12,463 --> 00:42:12,733
Hmm.
734
00:42:12,943 --> 00:42:13,363
All right.
735
00:42:13,693 --> 00:42:15,073
Is that, did they win that one?
736
00:42:15,223 --> 00:42:15,763
The Patriots?
737
00:42:15,973 --> 00:42:16,213
Oh man.
738
00:42:16,213 --> 00:42:16,603
I believe
739
00:42:16,603 --> 00:42:17,533
the Patriots did win that
740
00:42:17,533 --> 00:42:17,713
one.
741
00:42:18,053 --> 00:42:21,293
, That's, that's a whole
other level there, right?
742
00:42:21,293 --> 00:42:24,593
When you're talking about such,
big events, obviously a lot of
743
00:42:24,593 --> 00:42:32,033
security aspect to those events and
try to gather intel and a lot of
744
00:42:32,033 --> 00:42:34,703
real time decision making going on
745
00:42:34,823 --> 00:42:36,683
there is, and you are.
746
00:42:37,743 --> 00:42:42,063
Working with, certainly the federal
agencies had their Intel people mm-hmm.
747
00:42:42,303 --> 00:42:47,843
In the EOC and Minneapolis and St. Paul
and Hennepin, Ramsey counties analysts.
748
00:42:47,933 --> 00:42:52,283
So everybody had a piece of it,
and everyone is, is sharing intel.
749
00:42:52,393 --> 00:42:57,373
So you're kind of helping in that
bigger global view, but also in the
750
00:42:57,373 --> 00:43:01,273
back of your head, also trying to look
out for your home agency and, and my
751
00:43:01,273 --> 00:43:04,333
home city of what Intel is happening.
752
00:43:04,453 --> 00:43:09,313
Maybe events that could be popping up
in, in say, Minneapolis or near the game.
753
00:43:09,313 --> 00:43:13,853
And how does that affect how security
for in that case, the Patriots, but
754
00:43:13,853 --> 00:43:18,633
also visitors that were staying in our
hotels or just the community in general?
755
00:43:18,753 --> 00:43:19,023
Yeah.
756
00:43:19,383 --> 00:43:21,813
For is UnitedHealth stationed there?
757
00:43:22,453 --> 00:43:23,263
They
758
00:43:23,263 --> 00:43:23,623
are.
759
00:43:23,623 --> 00:43:27,463
So they're their campus, they
have UnitedHealth and Optum, which
760
00:43:27,463 --> 00:43:30,763
is a subsidiary of UnitedHealth,
but it's under their umbrella.
761
00:43:30,763 --> 00:43:32,293
So two really large companies.
762
00:43:32,393 --> 00:43:37,523
, Their campus overlaps with us in the
city in the north of us, Minnetonka.
763
00:43:37,523 --> 00:43:43,913
So I think UnitedHealth on paper, their
headquarters are in Minnetonka, but a a
764
00:43:43,913 --> 00:43:46,523
lot of their campus is in Eden Prairie.
765
00:43:46,703 --> 00:43:46,913
Hmm.
766
00:43:47,303 --> 00:43:51,113
Now, was that a, was that
different for you given the fact
767
00:43:51,113 --> 00:43:55,043
that this was based on a murder?
768
00:43:55,443 --> 00:44:01,593
A high profile murder getting into
obviously a lot of politics nationally
769
00:44:01,593 --> 00:44:06,333
known as opposed to the other ones
super Bowl National Convention, not
770
00:44:06,333 --> 00:44:09,153
really stemming from violence per se.
771
00:44:09,303 --> 00:44:09,753
Yeah.
772
00:44:09,753 --> 00:44:16,363
In, in, in the early days of after the
assassination of the UnitedHealth CEO
773
00:44:16,433 --> 00:44:19,973
of not knowing where that suspect is.
774
00:44:20,033 --> 00:44:23,993
That incident happened in New York
City, so individually I wasn't getting
775
00:44:23,993 --> 00:44:29,153
a lot of intel of what the FBI and
NYPD knew, and so I was trying to
776
00:44:29,153 --> 00:44:32,903
figure out how to convey that intel.
777
00:44:33,223 --> 00:44:40,313
To our local law enforcement and then
also UnitedHealth and their CEOs and
778
00:44:40,313 --> 00:44:44,153
their higher ups certainly live in
the community of figuring out what
779
00:44:44,153 --> 00:44:50,053
were the threats and what was possible
threats or what was e-board warriors
780
00:44:50,053 --> 00:44:54,863
that were just posting stuff, but they
live on a coast and, and have no means
781
00:44:54,863 --> 00:44:56,993
or intent to, to come to Minnesota.
782
00:44:57,083 --> 00:45:01,943
So it was that time was certainly for
the couple weeks after of just a lot
783
00:45:01,943 --> 00:45:06,353
of that intel of doing suspect profiles
when we could figure out who the
784
00:45:06,353 --> 00:45:09,683
individuals were that were posting threats
of, did they have the means or not?
785
00:45:09,863 --> 00:45:10,193
Yeah.
786
00:45:10,253 --> 00:45:13,613
Now was he still on the loose
when the funeral was going on?
787
00:45:13,793 --> 00:45:14,153
Do you remember?
788
00:45:14,153 --> 00:45:14,183
He,
789
00:45:14,603 --> 00:45:19,283
god, they overlap a little bit, but
he, I think it, he may have been
790
00:45:19,283 --> 00:45:23,213
on the loose still when the funeral
happened or was, had just been in
791
00:45:23,213 --> 00:45:27,613
custody, but I don't know that everybody
was totally confident if he, if the
792
00:45:27,613 --> 00:45:29,593
suspect had acted alone or had help.
793
00:45:29,743 --> 00:45:30,313
Okay.
794
00:45:30,313 --> 00:45:33,763
Yeah, because I, I mean, I remember
he made it outta New York City.
795
00:45:33,763 --> 00:45:37,798
I remember it was a little bit of a
manhunt and I can't, but it's, it's bad.
796
00:45:37,798 --> 00:45:39,118
It just happened last year.
797
00:45:39,963 --> 00:45:43,798
I just, I can't remember how long
it was between, obviously it was a
798
00:45:43,798 --> 00:45:47,918
couple days, but I'm not sure how
long it was from the time of the
799
00:45:47,918 --> 00:45:50,408
shooting to the time of the arrest.
800
00:45:50,618 --> 00:45:55,118
. So was this, really the, first
time you were dealing with.
801
00:45:55,433 --> 00:46:00,053
Like such a, just like a high
profile lots of potential for,
802
00:46:00,143 --> 00:46:03,923
for violence kind of situation,
for a lack of better term there?
803
00:46:03,923 --> 00:46:06,983
Or was there, was there other
instance that you worked on recently?
804
00:46:07,133 --> 00:46:09,713
I mean, really in, in the Twin Cities?
805
00:46:09,773 --> 00:46:14,423
It was in 2020 of dealing with, in
the middle of COVID was dealing with
806
00:46:14,483 --> 00:46:16,313
george Floyd and Derek Chauvin.
807
00:46:16,313 --> 00:46:16,463
Mm-hmm.
808
00:46:17,523 --> 00:46:21,753
Riots and, and what transpired for a
week, week and a half here in the Twin
809
00:46:21,753 --> 00:46:29,203
Cities of trying to delve through intel
and protests and looting and riots and,
810
00:46:29,263 --> 00:46:34,813
and eventually the National Guard coming
in of, of kind of that fast pace of
811
00:46:34,813 --> 00:46:39,633
things that we're developing sometimes
by the minute or the hour, being a lone
812
00:46:39,633 --> 00:46:44,493
analyst of trying to parse out what was
important to Eden Prairie officers in
813
00:46:44,493 --> 00:46:48,963
that moment, and how much is too much
info, or how much is not enough info
814
00:46:49,903 --> 00:46:55,748
From your vantage point, is what's
going on in Minneapolis and St.
815
00:46:55,748 --> 00:46:56,498
Paul?
816
00:46:56,678 --> 00:47:02,108
Is it is it far enough away or is it
No, , we're we're close enough that
817
00:47:02,108 --> 00:47:04,658
we really needed to be on alert.
818
00:47:04,838 --> 00:47:06,608
It was certainly close enough.
819
00:47:06,638 --> 00:47:12,688
Our officers were being sent in to
help cover either Minneapolis respond
820
00:47:12,688 --> 00:47:18,438
to stuff because they were a little
overwhelmed and or we were moving in to.
821
00:47:18,833 --> 00:47:23,183
Suburbs that were closer to Minneapolis
to help cover them while they were
822
00:47:23,183 --> 00:47:25,043
sending officers in into Minneapolis.
823
00:47:25,043 --> 00:47:26,903
So everyone was kind of
moving a little bit closer to.
824
00:47:27,653 --> 00:47:30,683
To the epicenter of where
major events were occurring.
825
00:47:30,803 --> 00:47:36,053
But also there was quite a bit of
looting that was happening in the suburbs
826
00:47:36,083 --> 00:47:39,833
especially a couple days after everything
had happened in Minneapolis and St.
827
00:47:39,833 --> 00:47:43,943
Paul because law enforcement ended up
swarming into the center of the cities
828
00:47:44,003 --> 00:47:49,053
and then events just came out farther
from the middle of, of the metro.
829
00:47:49,203 --> 00:47:49,563
Yeah.
830
00:47:49,683 --> 00:47:54,993
So maybe not something necessarily
directly in your jurisdiction, but as you
831
00:47:54,993 --> 00:48:00,603
mentioned, you have resources going to
help out neighboring jurisdictions and
832
00:48:00,843 --> 00:48:07,593
there's obviously activity where Eden
Prairie is, is involved in the response.
833
00:48:07,773 --> 00:48:09,063
Well, yes.
834
00:48:09,958 --> 00:48:15,838
I haven't, we haven't talked about it yet,
but the Twin Cities analyst community is
835
00:48:15,958 --> 00:48:19,108
so incredibly supportive of one another.
836
00:48:19,378 --> 00:48:19,468
Mm-hmm.
837
00:48:19,658 --> 00:48:24,708
So we were, as a collective a
hundred analysts were in chat rooms.
838
00:48:25,533 --> 00:48:30,273
Sharing intel in real time of not
only what was happening in Minneapolis
839
00:48:30,328 --> 00:48:35,103
and and St Paul, but what businesses
were being targeted around the rest
840
00:48:35,103 --> 00:48:40,803
of the metro and being able to take
that info that intel and create
841
00:48:40,893 --> 00:48:43,833
actionable intel for our officers.
842
00:48:43,833 --> 00:48:48,813
So every morning analysts around the
metro were essentially doing a roll call
843
00:48:48,813 --> 00:48:52,903
of, here are the businesses cell phone
store was hit in this city here's suspect
844
00:48:52,903 --> 00:48:58,593
photos liquor store was hit in this,
this city tire shop, whatever it was.
845
00:48:58,893 --> 00:48:58,983
Mm-hmm.
846
00:48:59,193 --> 00:49:03,303
And I could take that every morning
and send that out to our officers and
847
00:49:03,303 --> 00:49:07,743
our command staff of, if we're going to
have extra resources in the, in the city
848
00:49:07,863 --> 00:49:12,003
instead of just randomly patrolling here
are the businesses that have been hit in
849
00:49:12,003 --> 00:49:15,873
neighboring cities in the past 24 hours,
maybe we should focus our resources
850
00:49:15,873 --> 00:49:17,433
on, on those types of businesses.
851
00:49:17,613 --> 00:49:18,033
Yeah.
852
00:49:18,363 --> 00:49:19,458
Now did you find that it was.
853
00:49:20,993 --> 00:49:26,993
The, the looting was more coordinated
as opposed to like, Hey I'm,
854
00:49:27,113 --> 00:49:28,253
I'm gonna go get some liquor.
855
00:49:28,643 --> 00:49:31,103
Let's just go, let's just
go loot the liquor store.
856
00:49:31,323 --> 00:49:39,243
I think in the early days it was certainly
kind of whatever was nearby where.
857
00:49:39,598 --> 00:49:41,218
Essentially the riots were happening.
858
00:49:41,368 --> 00:49:41,458
Mm-hmm.
859
00:49:41,698 --> 00:49:47,428
But as a day or two went on, I did feel
like it got more coordinated by certain
860
00:49:47,428 --> 00:49:52,318
groups that knew that there were certain
businesses that they had had success with,
861
00:49:52,318 --> 00:49:54,398
with breaking in and getting products.
862
00:49:54,548 --> 00:49:54,608
Yeah.
863
00:49:55,178 --> 00:49:55,448
Hmm.
864
00:49:55,628 --> 00:49:58,328
Kudos for all of you to, for having that.
865
00:49:58,638 --> 00:50:01,818
The chat room still still going on, right?
866
00:50:01,818 --> 00:50:04,798
That's that coming on board
you said a hunter analyst.
867
00:50:04,798 --> 00:50:09,298
So kudos to all of you for, for coming
together and sharing information.
868
00:50:09,448 --> 00:50:10,678
It is every
869
00:50:10,828 --> 00:50:11,698
day.
870
00:50:11,748 --> 00:50:12,888
Analysts in Minnesota.
871
00:50:12,888 --> 00:50:18,498
We use Bridge for Public Safety
locally I think there's 270 some
872
00:50:18,498 --> 00:50:22,578
analysts now across Minnesota,
Wisconsin, north and South Dakota.
873
00:50:22,578 --> 00:50:26,918
But obviously the majority of the
analysts are in, in the Twin Cities area.
874
00:50:27,038 --> 00:50:32,578
But a bank robbery occurs and we all
know within sometimes as it's being
875
00:50:32,578 --> 00:50:37,438
dispatched out or a school threat
occurs and, and we're sharing intel.
876
00:50:37,833 --> 00:50:41,013
In real time with each other,
but everybody else is seeing it.
877
00:50:41,013 --> 00:50:42,453
So we have that intel.
878
00:50:42,453 --> 00:50:44,973
If that call were to come into
Eden Prairie, but a neighboring
879
00:50:44,973 --> 00:50:48,723
city had something similar, I have
that, that information for, for
880
00:50:48,723 --> 00:50:51,003
our officers almost immediately.
881
00:50:51,093 --> 00:50:54,753
Yeah, the analyst network
locally is, is incredible.
882
00:50:54,873 --> 00:50:55,383
It is nice.
883
00:50:55,473 --> 00:50:57,123
There's no territory issues.
884
00:50:57,123 --> 00:50:58,593
Everybody is out to help each other.
885
00:50:58,743 --> 00:50:59,193
Nice.
886
00:50:59,343 --> 00:50:59,763
Nice.
887
00:50:59,943 --> 00:51:01,293
All right, well, let's move on then.
888
00:51:01,293 --> 00:51:06,933
As I mentioned in your intro, I do want
to chat with you regarding writing and
889
00:51:06,933 --> 00:51:13,363
presenting, that's your discipline part of
your education prior to being an analyst.
890
00:51:13,363 --> 00:51:16,873
So I, I don't know if you wanted
to take it in a certain direction.
891
00:51:16,873 --> 00:51:18,163
I, I know you've taught.
892
00:51:18,358 --> 00:51:19,018
This.
893
00:51:19,018 --> 00:51:23,128
And so I'll give you the, the floor
talk about some of the stuff you're
894
00:51:23,128 --> 00:51:27,088
seeing or maybe pet peeves or where,
where you can help our listeners.
895
00:51:27,238 --> 00:51:27,568
Wow.
896
00:51:27,568 --> 00:51:29,668
It's such a big question.
897
00:51:29,668 --> 00:51:32,818
It feels like a, a
conversation for, for hours.
898
00:51:32,848 --> 00:51:37,748
But yeah, I I, I think it does come back
to what we've talked about a couple times
899
00:51:37,748 --> 00:51:43,178
of just that who, what, where and when
of getting straight to the point right
900
00:51:43,178 --> 00:51:46,628
away of what you're trying to convey.
901
00:51:47,168 --> 00:51:49,658
Then backing it up after that.
902
00:51:49,748 --> 00:51:55,638
A lot of my bulletins are, are not
telling officers what to do, but
903
00:51:55,638 --> 00:51:59,628
I'm giving them the information
to kind of make that decision of
904
00:51:59,658 --> 00:52:01,668
what specifically they should do.
905
00:52:01,818 --> 00:52:06,768
So it might be, hey, officers should
be aware of a white male suspect
906
00:52:06,948 --> 00:52:13,338
in a surgical mask driving a 2010
Chevy White Chevy Malibu committing
907
00:52:13,428 --> 00:52:18,348
restaurant burglaries between
two and 4:00 AM on, on Thursdays.
908
00:52:18,468 --> 00:52:20,868
And sometimes I'm able
to get that specific.
909
00:52:20,928 --> 00:52:25,413
And so if they're responding to an
alarm call at a restaurant at 2:00
910
00:52:25,413 --> 00:52:29,218
AM on a Thursday and they are red
lights and sirens heading to that
911
00:52:29,218 --> 00:52:32,668
spot, but they see that white JV
Malibu passing them, that they're
912
00:52:32,668 --> 00:52:34,708
turning on that instead of waiting to.
913
00:52:34,993 --> 00:52:37,363
To find out after the fact
from surveillance video.
914
00:52:37,433 --> 00:52:41,663
So it's really just trying to get, it's
always the most important spot is first.
915
00:52:41,753 --> 00:52:46,933
Second most important is after that, and
then from, for my interns it's always
916
00:52:46,933 --> 00:52:51,463
a struggle of going from that college
writing to, we call it, we joke and,
917
00:52:51,463 --> 00:52:55,693
and say it's, it's kind of my style
guide, but of again, that officer safety
918
00:52:55,693 --> 00:52:59,743
stuff of whenever we're mentioning
weapons, that that's in bold and in red.
919
00:52:59,743 --> 00:53:02,663
And warrant info is, is always in bold.
920
00:53:03,023 --> 00:53:07,193
And anytime I mention the word officers,
that's always capitalized because
921
00:53:07,193 --> 00:53:10,613
that usually, it doesn't need to be
according to the AP cell guide, but
922
00:53:10,613 --> 00:53:14,573
that's trying to get their, again,
drawing their attention to, to their eye.
923
00:53:14,643 --> 00:53:19,383
It's really just about taking as complex
as you can get and parsing that down to.
924
00:53:19,773 --> 00:53:21,753
To two paragraphs at most.
925
00:53:21,903 --> 00:53:22,323
Yeah.
926
00:53:22,608 --> 00:53:28,383
I, I, I think that's, I think that's the
real struggle is what to include, right?
927
00:53:28,383 --> 00:53:32,043
I think, I think you can, you can get
there, but then you're always concerned,
928
00:53:32,043 --> 00:53:35,613
like we were talking about before, is
leaving out something that you shouldn't,
929
00:53:35,793 --> 00:53:36,303
right.
930
00:53:36,423 --> 00:53:40,773
And, and it also depends
on, on the context for it.
931
00:53:40,773 --> 00:53:45,333
So what I always tell new interns is
certainly somebody's criminal history
932
00:53:45,333 --> 00:53:47,913
is important when we're writing.
933
00:53:48,118 --> 00:53:53,278
Bulletins and, and background on an
individual, but if they've been convicted
934
00:53:53,278 --> 00:53:58,808
of murder and second degree assault
with a dangerous weapon, their DWI
935
00:53:58,808 --> 00:54:02,168
from five years ago probably doesn't
really matter for the patrol officer.
936
00:54:02,408 --> 00:54:02,618
Mm-hmm.
937
00:54:02,674 --> 00:54:06,214
So it's, it's about what is
the hierarchy of what's most
938
00:54:06,214 --> 00:54:08,524
important and those other things.
939
00:54:08,524 --> 00:54:11,284
It's really a judgment call and a
lot of that comes with experience
940
00:54:11,284 --> 00:54:13,894
of what you're gonna include and
what you're not gonna include.
941
00:54:14,074 --> 00:54:14,314
Hmm.
942
00:54:14,704 --> 00:54:19,234
. In terms of your interns, in terms of
maybe even some other analysts, what are,
943
00:54:19,234 --> 00:54:22,714
what are some, besides what to include?
944
00:54:22,714 --> 00:54:27,459
What are some other things that , you
spot in some of their writing?
945
00:54:27,639 --> 00:54:32,649
I think it comes back to, again,
kind of that visual appeal,
946
00:54:32,709 --> 00:54:34,989
but also an organization.
947
00:54:34,989 --> 00:54:39,759
So are you, when you're telling
a story, how are you telling it?
948
00:54:39,759 --> 00:54:41,499
Is it gonna be in chronological order?
949
00:54:41,499 --> 00:54:46,119
Is it going to be what you believe
is most important to least important?
950
00:54:46,169 --> 00:54:46,709
Sometimes that.
951
00:54:47,294 --> 00:54:52,014
It, it depends on, on what you're what
the series is or what the events are
952
00:54:52,014 --> 00:54:53,604
that you're, you're trying to talk about.
953
00:54:53,964 --> 00:54:54,714
Mm-hmm.
954
00:54:54,954 --> 00:55:00,884
It's so case by case basis of how
far out do you go from associates?
955
00:55:00,944 --> 00:55:03,334
How far out do you go with relatives?
956
00:55:03,394 --> 00:55:07,164
For me it's really, it's only if they're
they're in the house and I know that
957
00:55:07,224 --> 00:55:11,184
they've recently been in the house,
or I mean, a pet peeve mine is when
958
00:55:11,184 --> 00:55:15,244
analysts are using former addresses
of an individual, but you're seeing
959
00:55:15,244 --> 00:55:18,074
that they're including an address
that they were at 10 years ago.
960
00:55:18,074 --> 00:55:20,334
That's not a mom or dad's house.
961
00:55:20,334 --> 00:55:21,084
So possible.
962
00:55:21,084 --> 00:55:24,984
So you're just kind of taking up
space and it's easy for the reader
963
00:55:24,984 --> 00:55:29,184
to start to dismiss some of what
might be really important information
964
00:55:29,184 --> 00:55:32,244
that you've included, because you've
just included too much information.
965
00:55:32,934 --> 00:55:37,974
You included something that the
reader feels is not important and then
966
00:55:37,974 --> 00:55:39,894
they lose the trust in the document.
967
00:55:40,074 --> 00:55:41,394
Exactly, yes.
968
00:55:41,544 --> 00:55:41,844
Yeah.
969
00:55:42,024 --> 00:55:48,804
How about in terms of just classic writing
in terms of like set sentence structure
970
00:55:48,864 --> 00:55:52,374
and the grammar and, and everything else?
971
00:55:52,374 --> 00:55:54,744
Obviously you're your
interns, I'm guessing they're.
972
00:55:55,294 --> 00:55:58,884
They're younger than 25 growing up Yes.
973
00:55:58,884 --> 00:56:02,824
With growing up with social
media and typing with your thumbs
974
00:56:02,824 --> 00:56:04,264
.
And so, what do you see in there?
975
00:56:04,654 --> 00:56:05,104
I
976
00:56:05,104 --> 00:56:11,954
see a tendency to really want to get into
the story from a police report, thinking
977
00:56:11,954 --> 00:56:17,719
of maybe it's a, we have a PC pickup
for a domestic assault suspect, and them
978
00:56:17,719 --> 00:56:22,939
really wanting to get into the weeds with
kind of maybe what the domestic was about
979
00:56:23,089 --> 00:56:26,959
versus what the actions were and what
the background is of that individual.
980
00:56:26,959 --> 00:56:29,809
So it's going back into
who's the audience?
981
00:56:29,929 --> 00:56:34,099
Is it for a a true crime
podcast that wants to know
982
00:56:34,099 --> 00:56:35,599
every detail about everything?
983
00:56:35,599 --> 00:56:35,689
Mm-hmm.
984
00:56:35,929 --> 00:56:40,249
Or is it that officer safety of what
that officer is walking up to when
985
00:56:40,249 --> 00:56:41,809
they're gonna arrest that individual?
986
00:56:41,839 --> 00:56:43,429
What do they need to know?
987
00:56:43,759 --> 00:56:47,209
About the incident that happened
or that person's history.
988
00:56:47,279 --> 00:56:52,079
So I think it's really, I mean, police
reports are great to get sucked into
989
00:56:52,209 --> 00:56:55,089
because there's almost always really
good stories in there, you know?
990
00:56:55,089 --> 00:56:55,179
Mm-hmm.
991
00:56:55,419 --> 00:56:56,049
Good or bad.
992
00:56:56,079 --> 00:56:56,169
Mm-hmm.
993
00:56:56,349 --> 00:56:59,109
But I think it's really easy to get
sucked into those stories when you're
994
00:56:59,109 --> 00:57:02,829
writing and, and trying to summarize
some of those stories, which may or may
995
00:57:02,829 --> 00:57:05,399
not be, be pertinent , to the audience.
996
00:57:05,549 --> 00:57:06,029
Yeah.
997
00:57:06,179 --> 00:57:12,139
So, outta curiosity, if if an unturn
came to you with a bulletin and
998
00:57:12,139 --> 00:57:16,789
it was clearly sent through chat,
GPT, what would your reaction be?
999
00:57:16,969 --> 00:57:17,839
Oh, man.
1000
00:57:17,839 --> 00:57:24,049
I would, I would be, I'm not a yeller,
but I would, I would be, I'd be pretty,
1001
00:57:24,109 --> 00:57:29,829
pretty disappointed because of what,
what I tell certainly interns, but new
1002
00:57:29,949 --> 00:57:35,679
analysts is people are making decisions
on the information that you provided.
1003
00:57:36,009 --> 00:57:36,129
Mm-hmm.
1004
00:57:36,369 --> 00:57:37,809
So it has to be correct.
1005
00:57:38,184 --> 00:57:41,964
And there are times where I'm
just missing an intel gap.
1006
00:57:42,024 --> 00:57:44,364
But you have to be forthcoming about that.
1007
00:57:44,634 --> 00:57:48,714
That Yeah, I, I have all this
info, but I honestly, I don't
1008
00:57:48,714 --> 00:57:49,674
know what they're driving.
1009
00:57:49,944 --> 00:57:55,554
Instead of me listing out two cars from
that they previously had, but they have
1010
00:57:55,674 --> 00:57:58,674
tabs that are expired from two years
ago and they're probably not driving it.
1011
00:57:58,794 --> 00:58:02,034
'cause those officers might be
looking for those two cars and miss.
1012
00:58:02,664 --> 00:58:06,144
A car that they otherwise would've paid
attention to if I would've said, I don't
1013
00:58:06,144 --> 00:58:10,194
know what they're driving, but there's so
many times where I've had decisions were
1014
00:58:10,194 --> 00:58:16,094
made swat wise officer wise of making
arrests and officers have to testify to
1015
00:58:16,094 --> 00:58:20,294
why they did what they did, and they're
gonna point to the intel that I provided.
1016
00:58:20,294 --> 00:58:20,384
Mm-hmm.
1017
00:58:20,774 --> 00:58:24,824
Or there's been times where I've testified
on the stand about the work that I did
1018
00:58:24,824 --> 00:58:26,804
and the confidence of the work that I did.
1019
00:58:26,804 --> 00:58:27,549
So mm-hmm.
1020
00:58:27,629 --> 00:58:31,904
Getting back to the check GPT stuff,
I mean, certainly that, that is
1021
00:58:31,904 --> 00:58:34,904
starting to come and I'm, I'm seeing
a little bit of that and it's mm-hmm.
1022
00:58:35,294 --> 00:58:40,244
Maybe kind of fine if it's summarizing,
but it just isn't there yet.
1023
00:58:40,244 --> 00:58:44,174
And I, I mean, people's lives potentially
are at, at stake by your work, and
1024
00:58:44,174 --> 00:58:45,974
so you really can't cut corners.
1025
00:58:46,814 --> 00:58:46,874
Yeah.
1026
00:58:46,874 --> 00:58:51,744
Well, I, I think too I,
I have used chat, GPT.
1027
00:58:52,119 --> 00:58:58,469
This year a lot to actually write the
descriptions for the podcast episodes.
1028
00:58:58,799 --> 00:58:58,979
Sure.
1029
00:58:58,979 --> 00:59:03,669
And it's gotten to the point where
it knows what I'm asking for.
1030
00:59:03,669 --> 00:59:09,019
It knows the, the things that I look
for . And , I'm not a good writer and
1031
00:59:09,019 --> 00:59:11,509
never been, never been a good writer.
1032
00:59:11,509 --> 00:59:18,144
And so for, for me, I mean, I can, I.
I throw out down a lot of ideas, but it
1033
00:59:18,144 --> 00:59:24,694
does, it does help out with cleaning up
the mess that I made in terms of flow and
1034
00:59:24,694 --> 00:59:29,224
sentence structure and grammar and all
that, in a, in a way it could get to the
1035
00:59:29,224 --> 00:59:34,864
point where, yeah, the, it's, it's not
necessarily just creating everything from
1036
00:59:34,864 --> 00:59:40,294
scratch, the bulletin, it's basically
cleaning up what maybe the intern started.
1037
00:59:40,534 --> 00:59:40,924
Sure.
1038
00:59:40,924 --> 00:59:43,954
And I, I can see I, I
can see use for that.
1039
00:59:43,954 --> 00:59:49,294
I mean, a lot of times I am reusing the
same template, obviously, from previous
1040
00:59:49,294 --> 00:59:54,494
bulletins or previous warrant bulletins
and, and so in a way that, that would
1041
00:59:54,494 --> 00:59:56,874
be , maybe more efficient, but mm-hmm.
1042
00:59:57,114 --> 00:59:59,904
We're also, we're a
small enough agency that.
1043
01:00:00,289 --> 01:00:03,399
I can tell you off the top of my
head when our last homicides were,
1044
01:00:03,399 --> 01:00:04,689
where our last robberies were.
1045
01:00:05,019 --> 01:00:05,109
Mm-hmm.
1046
01:00:05,349 --> 01:00:10,449
So it would be different I think, if
I was in a major city and you just
1047
01:00:10,449 --> 01:00:14,589
didn't have the physical capability to
read every robbery report when you're
1048
01:00:14,589 --> 01:00:16,519
putting out a bulletin about robberies.
1049
01:00:17,149 --> 01:00:17,479
Hmm.
1050
01:00:17,839 --> 01:00:22,279
You manage the social media
account for the police department?
1051
01:00:22,519 --> 01:00:23,419
I do, yes.
1052
01:00:23,419 --> 01:00:26,419
And I find that to be a
whole other level of writing.
1053
01:00:26,419 --> 01:00:29,749
'cause now you're writing to
communicate with the public.
1054
01:00:30,079 --> 01:00:31,369
Not the patrol officer.
1055
01:00:31,489 --> 01:00:32,599
It is.
1056
01:00:32,599 --> 01:00:36,649
And that is I actually was looking
at our social media kind of end
1057
01:00:36,649 --> 01:00:42,109
of year stats earlier today, and
I think we had 6.5 million views
1058
01:00:42,109 --> 01:00:44,059
on posts on Facebook this year.
1059
01:00:44,179 --> 01:00:44,269
Wow.
1060
01:00:44,299 --> 01:00:48,289
And again, it's Who's your, who are
you writing to for the audience?
1061
01:00:48,289 --> 01:00:50,329
And when I talk to other
police departments.
1062
01:00:51,094 --> 01:00:55,744
Our philosophy here is we're communicating
with the residents of Eden Prairie.
1063
01:00:55,864 --> 01:00:56,014
Mm-hmm.
1064
01:00:56,254 --> 01:01:01,414
And, which seems super simple, but
I think sometimes agencies can start
1065
01:01:01,414 --> 01:01:04,654
thinking about trying to create things
that maybe are gonna try to go viral.
1066
01:01:04,654 --> 01:01:04,744
Mm-hmm.
1067
01:01:05,104 --> 01:01:08,434
Or are, are part of a,
a social media trend.
1068
01:01:08,694 --> 01:01:09,274
And I'm not.
1069
01:01:09,644 --> 01:01:11,594
Doing those and, and we've done those.
1070
01:01:11,594 --> 01:01:15,284
But again, it's what's, what's the
purpose and who's the audience.
1071
01:01:15,384 --> 01:01:20,844
But yeah, it is, it is a totally
different type of writing based on both
1072
01:01:20,844 --> 01:01:22,854
the platform and, and the audience.
1073
01:01:23,004 --> 01:01:23,214
Yeah.
1074
01:01:23,299 --> 01:01:28,799
I, I envision your baseball days, like
trying to get, a little clever to try
1075
01:01:28,799 --> 01:01:31,709
to get eyeballs on the, on the posts.
1076
01:01:31,799 --> 01:01:32,429
Oh, yeah.
1077
01:01:32,429 --> 01:01:36,959
Among my jobs when I was working for
the baseball team, was writing ad copy
1078
01:01:36,959 --> 01:01:40,219
for the daily newspaper in, in Duluth.
1079
01:01:40,219 --> 01:01:44,894
And so every week , I would have to write
a different kind of funny ad mm-hmm.
1080
01:01:44,949 --> 01:01:48,069
About our next home stand or
our opponent or the type of
1081
01:01:48,069 --> 01:01:49,809
year, or the time of year or.
1082
01:01:50,164 --> 01:01:53,384
What promotions we were having
which was always fun to be creative
1083
01:01:53,384 --> 01:01:57,374
and, and figure out what, what
worked and what didn't work.
1084
01:01:57,494 --> 01:02:02,384
But you never really knew if in that,
in those days, if what you were writing
1085
01:02:02,454 --> 01:02:05,984
generated directly to more ticket sales.
1086
01:02:05,984 --> 01:02:06,074
Mm-hmm.
1087
01:02:06,434 --> 01:02:10,844
But with social media, it is, it is
rewarding to see when you're writing a
1088
01:02:10,844 --> 01:02:14,654
post of did that get a lot of interactions
or not get a lot of interactions
1089
01:02:14,834 --> 01:02:19,754
and then tweaking that next post to,
to maybe trying something different
1090
01:02:19,754 --> 01:02:21,314
to try to get more interactions.
1091
01:02:21,464 --> 01:02:21,794
Yeah.
1092
01:02:22,034 --> 01:02:26,374
Now do you do you allow
people to remark on the post?
1093
01:02:26,524 --> 01:02:27,634
We do, yes.
1094
01:02:27,754 --> 01:02:28,174
Yeah.
1095
01:02:28,324 --> 01:02:30,934
So that's sometimes you're
getting instant feedback.
1096
01:02:31,879 --> 01:02:34,399
From people that you have no idea who are,
1097
01:02:34,529 --> 01:02:35,219
Good or bad.
1098
01:02:35,219 --> 01:02:39,459
And sometimes when you're a police
department, you're posting some bad things
1099
01:02:39,459 --> 01:02:40,989
that have happened in the community.
1100
01:02:41,089 --> 01:02:41,449
Yeah.
1101
01:02:41,449 --> 01:02:46,009
And it is for me of reminding
people inside the PD when there
1102
01:02:46,009 --> 01:02:49,789
are negative comments, it is rare
that those negative comments are.
1103
01:02:49,999 --> 01:02:52,159
Residents that are posting it.
1104
01:02:52,159 --> 01:02:54,949
A lot of times it's people outside
of the community that are posting.
1105
01:02:54,949 --> 01:02:56,509
So again, who's our audience?
1106
01:02:56,509 --> 01:02:58,219
Who are we trying to communicate to?
1107
01:02:58,369 --> 01:03:01,879
And, and those that are outside
the community that are commenting
1108
01:03:01,879 --> 01:03:05,579
or viewing it, it, it just is
the, the nature of social media.
1109
01:03:05,579 --> 01:03:09,969
But to not take it to personally
when somebody from Texas is upset
1110
01:03:09,969 --> 01:03:11,259
with us for whatever reason.
1111
01:03:13,059 --> 01:03:15,729
I'm sure, I'm sure you get
some characters on there.
1112
01:03:15,729 --> 01:03:18,999
I'm sure you got a, you, is
there a favorite, maybe a
1113
01:03:18,999 --> 01:03:21,009
conspiracy theory or a favorite?
1114
01:03:21,159 --> 01:03:23,169
A favorite Oh, favorite post that you ha
1115
01:03:23,259 --> 01:03:24,999
have in mind there?
1116
01:03:24,999 --> 01:03:31,739
I always talk about it seems like
everything right now in 20 25, 20 26 is
1117
01:03:31,789 --> 01:03:34,729
can be made into be a controversial post.
1118
01:03:34,734 --> 01:03:34,964
Mm-hmm.
1119
01:03:35,019 --> 01:03:37,029
For the, except for animal posts.
1120
01:03:37,029 --> 01:03:41,989
Anytime we post about ducks saved
out of a sewer or a lost dog, or.
1121
01:03:42,009 --> 01:03:42,069
Yeah.
1122
01:03:42,489 --> 01:03:46,559
Horses that got loose outta the
one farm left in Eden Prairie.
1123
01:03:46,809 --> 01:03:50,529
Those always seem to get a lot
of traction and, and are almost
1124
01:03:50,529 --> 01:03:52,399
universally positive comments.
1125
01:03:54,259 --> 01:03:57,469
Yeah, because I could just
imagine, , I'm on the Nextdoor app.
1126
01:03:57,834 --> 01:04:02,664
In my neighborhood, and geez, it does,
it's, it seems like it doesn't matter
1127
01:04:02,664 --> 01:04:06,114
what somebody's posting it, there's
certain people in there that will bring
1128
01:04:06,114 --> 01:04:11,234
politics into it or all kinds of stuff
into, into the conversation, so, oh, that
1129
01:04:11,234 --> 01:04:12,014
is yep.
1130
01:04:12,164 --> 01:04:15,914
Absolutely there's a daily occurrence
for us of, of trying to manage that.
1131
01:04:16,034 --> 01:04:16,364
Yeah.
1132
01:04:16,394 --> 01:04:21,734
But I almost see it similar to
your role when you were with
1133
01:04:21,734 --> 01:04:23,534
the Department of Safety, right?
1134
01:04:23,564 --> 01:04:27,164
Because there's, again, you
are making the judgment.
1135
01:04:27,474 --> 01:04:28,554
Of what to post.
1136
01:04:28,704 --> 01:04:29,184
Right.
1137
01:04:29,274 --> 01:04:35,334
And obviously are trusted not
to post something that's gonna
1138
01:04:35,334 --> 01:04:36,894
make the department look bad.
1139
01:04:37,074 --> 01:04:37,644
Yes.
1140
01:04:37,644 --> 01:04:40,964
And, and so we work really closely with
our communications department with the
1141
01:04:40,964 --> 01:04:44,684
city, and then we have a kind of special
projects coordinator that does a lot
1142
01:04:44,684 --> 01:04:47,804
of our log kind of longer blog posts.
1143
01:04:47,904 --> 01:04:53,724
But yeah, it is, it is about the brand and
sometimes it's a little bit back and forth
1144
01:04:53,724 --> 01:04:59,324
with some of our officers where patrol is
doing amazing work on the street and they
1145
01:04:59,324 --> 01:05:02,054
want to highlight some of that and mm-hmm.
1146
01:05:02,110 --> 01:05:06,865
Certainly we wanna highlight their
good work too, but maybe it doesn't
1147
01:05:06,865 --> 01:05:11,975
always fit into the, the brand
that, that I have envisioned what
1148
01:05:11,975 --> 01:05:13,685
our social media is, is gonna have.
1149
01:05:13,715 --> 01:05:14,195
So.
1150
01:05:14,285 --> 01:05:14,375
Mm-hmm.
1151
01:05:14,615 --> 01:05:17,375
It would be pretty, I can't think
of a time that we've ever had
1152
01:05:17,375 --> 01:05:19,475
a post showing the cache and.
1153
01:05:20,035 --> 01:05:24,315
The guns that officers recovered laid
out on the table were more likely to
1154
01:05:24,315 --> 01:05:28,465
be posting about the car seat clinic
or the lemonade stand, or a shop
1155
01:05:28,465 --> 01:05:31,855
with a cop or, or the more positive
things that officers are involved in.
1156
01:05:32,605 --> 01:05:32,815
Yeah.
1157
01:05:32,815 --> 01:05:38,725
Now, from your perspective, doing
this for so long, for analysts that
1158
01:05:38,725 --> 01:05:42,835
maybe they're just starting out, maybe
they're just getting assigned social
1159
01:05:42,835 --> 01:05:46,555
media, maybe they're, maybe they're
getting into even press conferences.
1160
01:05:46,705 --> 01:05:52,255
Do you have some, maybe even
lesser known dos and don'ts when
1161
01:05:52,255 --> 01:05:54,145
communicating with the public?
1162
01:05:54,145 --> 01:05:57,835
On the social media stuff, it really
is, a lot of, it's just dependent
1163
01:05:57,835 --> 01:06:00,715
on kind of agency size that mm-hmm.
1164
01:06:01,025 --> 01:06:06,855
The smaller the agency, the more they can
kind of get away with maybe more jokes.
1165
01:06:06,975 --> 01:06:07,155
Mm-hmm.
1166
01:06:07,485 --> 01:06:12,365
And, and humor where a large
metropolitan agency, it would be
1167
01:06:12,365 --> 01:06:17,255
really hard for them to, to have a lot
of humor on their social media page.
1168
01:06:17,315 --> 01:06:21,525
And so a lot of it really just depends
on, on the size of your agency.
1169
01:06:21,525 --> 01:06:26,985
But I think it's so important to just
continue to promote the positive things
1170
01:06:26,985 --> 01:06:29,775
that officers are doing in the community.
1171
01:06:29,875 --> 01:06:35,635
Because there ends up being so much
negative news about police officers
1172
01:06:35,685 --> 01:06:39,485
that the news is, is there to, to
jump on when officers are doing
1173
01:06:39,615 --> 01:06:42,755
caught up in, in something bad
or somewhere around the country.
1174
01:06:42,755 --> 01:06:43,185
And then it, it.
1175
01:06:43,420 --> 01:06:47,260
It seems to be a portrayal that
it's a blanket of, of everybody.
1176
01:06:47,410 --> 01:06:47,830
Mm-hmm.
1177
01:06:48,020 --> 01:06:53,000
10 years ago, Eden Prairie had two
local newspapers that would highlight
1178
01:06:53,000 --> 01:06:56,150
those things, but those newspapers are
gone, and so there's nobody to do that
1179
01:06:56,150 --> 01:06:58,070
outside of us on our social media.
1180
01:06:58,250 --> 01:06:58,430
Hmm.
1181
01:06:58,790 --> 01:07:00,710
No, that's, that's, that's interesting.
1182
01:07:00,710 --> 01:07:06,680
No, it's, it's, it is always nice to
see some, some good mixed with the bad.
1183
01:07:07,550 --> 01:07:07,640
Right.
1184
01:07:07,640 --> 01:07:11,790
Instead of I know if it, this thing,
if it bleeds, it leads, but it is,
1185
01:07:11,850 --> 01:07:17,080
it is kind of nice to, to see some
good feeling stories, if you will.
1186
01:07:17,650 --> 01:07:21,580
It's every, every day in our department
we, we see the good things that officers
1187
01:07:21,580 --> 01:07:24,820
are doing and so, yeah, that's, that's
what I like to do is to highlight that.
1188
01:07:24,950 --> 01:07:27,140
Let's talk a little bit
about presentations.
1189
01:07:27,170 --> 01:07:29,000
'cause that's a, that's another one.
1190
01:07:29,230 --> 01:07:35,915
That I, I see you, you go to conferences,
you, you see good presentations, you
1191
01:07:35,915 --> 01:07:39,065
see maybe not so good presentations.
1192
01:07:39,395 --> 01:07:44,775
And and even I, over the years there's
some presentations that, man, I, I,
1193
01:07:44,805 --> 01:07:48,885
going in, I thought I was, I thought
this was gonna be a great presentation.
1194
01:07:48,885 --> 01:07:52,245
And it ended up just not, again,
reading the body language,
1195
01:07:52,245 --> 01:07:54,195
reading the, the reviews.
1196
01:07:54,195 --> 01:07:59,325
I know that I didn't necessarily
nail it like I thought I, I would.
1197
01:07:59,325 --> 01:08:05,295
And so even me in my late forties
presenting now year after year after
1198
01:08:05,295 --> 01:08:09,935
year, still, have room for improvement
when it comes to presentations.
1199
01:08:10,085 --> 01:08:10,925
Well, the, I mean, there's,
1200
01:08:11,105 --> 01:08:11,915
that's everybody.
1201
01:08:11,915 --> 01:08:14,345
There's always room for, for improvement.
1202
01:08:14,555 --> 01:08:16,985
I think that my, my.
1203
01:08:17,250 --> 01:08:20,340
Best piece of advice is just enthusiasm.
1204
01:08:20,490 --> 01:08:21,840
Just is so contagious.
1205
01:08:21,840 --> 01:08:28,830
So it's hard even if you're not interested
in the subject matter of a presentation,
1206
01:08:28,890 --> 01:08:35,990
if that person that's that's in front of
you is engaging and enthusiastic it's hard
1207
01:08:35,990 --> 01:08:38,390
not to kinda lean in a little bit mm-hmm.
1208
01:08:38,630 --> 01:08:39,740
On what they're saying.
1209
01:08:39,890 --> 01:08:44,420
And so I think it, a lot of it just
comes down to your own confidence in the
1210
01:08:44,420 --> 01:08:47,960
subject matter that you're talking about,
and the confidence in yourself that you
1211
01:08:47,960 --> 01:08:51,505
were chosen to give this presentation
for a reason that you are Yeah.
1212
01:08:51,840 --> 01:08:53,490
A subject matter expert.
1213
01:08:53,580 --> 01:08:56,790
And to kind of show that confidence
that you know what you're talking
1214
01:08:56,790 --> 01:09:02,100
about, but to be so excited about what
you're talking about, it's hard not
1215
01:09:02,160 --> 01:09:03,960
to have other people get excited too.
1216
01:09:04,110 --> 01:09:04,350
Yeah.
1217
01:09:04,350 --> 01:09:10,080
And that people find this funny, but
the, that I, my pep talk to myself
1218
01:09:10,080 --> 01:09:12,180
as I'm about to go up is like.
1219
01:09:12,715 --> 01:09:15,685
They're, they're sitting there
going to listen to me, right?
1220
01:09:15,775 --> 01:09:18,865
Like they're, here to see me kind
of thing during at least this
1221
01:09:18,865 --> 01:09:21,665
portion of the, presentation.
1222
01:09:21,715 --> 01:09:27,245
That gets me up to that next,
level in terms of, my presentation.
1223
01:09:27,245 --> 01:09:31,115
And so it, it, it, I read that, I
don't know how many years ago, but
1224
01:09:31,115 --> 01:09:35,495
that, that definitely has helped that
little, that little acknowledgement
1225
01:09:35,495 --> 01:09:37,575
that, this is who your audience is.
1226
01:09:37,575 --> 01:09:39,325
And this is, who they're here to see
1227
01:09:39,475 --> 01:09:39,745
it.
1228
01:09:39,955 --> 01:09:41,785
It is totally true though, like mm-hmm.
1229
01:09:42,025 --> 01:09:42,775
It's so simple.
1230
01:09:42,840 --> 01:09:47,355
But I've given presentations in front of
I was invited to a class several years
1231
01:09:47,355 --> 01:09:52,545
ago to talk about crime analysis at a
college, and I showed up, had all this
1232
01:09:52,545 --> 01:09:58,015
work done, and there was one student
in the room for that presentation.
1233
01:09:58,015 --> 01:10:01,645
And I was not told that that was
gonna be that small of a presentation,
1234
01:10:01,675 --> 01:10:05,395
but it still is that like, okay,
well I'm here, you're here.
1235
01:10:05,395 --> 01:10:10,255
Like, let's talk about what I love
and I love being a crime analyst, so
1236
01:10:10,255 --> 01:10:13,855
I'm gonna try to convince you that
you should be a crime analyst too.
1237
01:10:14,005 --> 01:10:14,095
Yeah.
1238
01:10:14,125 --> 01:10:19,445
But I've also spoken in front of crowds
of 700 people at a conference and mm-hmm.
1239
01:10:19,451 --> 01:10:19,830
And it's.
1240
01:10:20,430 --> 01:10:23,640
Just kind of getting out of your
own head a little bit of mm-hmm.
1241
01:10:24,060 --> 01:10:25,530
Having that nervousness.
1242
01:10:25,650 --> 01:10:30,030
And if you're, I like, I'm a walker,
so at a presentation it's hard
1243
01:10:30,030 --> 01:10:32,280
for me to be stuck at a podium.
1244
01:10:32,280 --> 01:10:37,350
I wanna, I want to kind of move around
the room and so that I can get a feeling
1245
01:10:37,350 --> 01:10:40,130
for in what I'm saying, is it hidden?
1246
01:10:40,130 --> 01:10:43,370
Are people, like, do they have their
heads up looking at you or are they all
1247
01:10:43,370 --> 01:10:45,470
buried with their phone under the table?
1248
01:10:45,690 --> 01:10:48,810
Just hoping that your, your 45
minute presentation is over.
1249
01:10:48,960 --> 01:10:49,080
Yeah.
1250
01:10:49,110 --> 01:10:52,590
So it's trying to kind of
gauge a little bit of that and
1251
01:10:52,590 --> 01:10:53,940
maybe start asking, you know.
1252
01:10:54,295 --> 01:10:58,345
Questions of the audience or having a,
asking a question and having a long enough
1253
01:10:58,345 --> 01:11:00,655
pause to try to get that, that engagement.
1254
01:11:00,805 --> 01:11:01,915
And that always seems to help.
1255
01:11:02,065 --> 01:11:02,485
Yeah.
1256
01:11:02,485 --> 01:11:03,715
Do you know Randy Stickley?
1257
01:11:03,895 --> 01:11:04,435
I don't.
1258
01:11:04,735 --> 01:11:06,415
Yeah, , he's like that too.
1259
01:11:06,445 --> 01:11:08,755
But he, he has the gift of gab though.
1260
01:11:08,755 --> 01:11:09,895
Like, holy cow.
1261
01:11:09,895 --> 01:11:12,205
He can, he can talk just about anything.
1262
01:11:12,205 --> 01:11:14,875
I've just, I've seen him pre present.
1263
01:11:14,875 --> 01:11:18,115
I've seen him work a crowd at the bar.
1264
01:11:18,120 --> 01:11:22,975
Like, I, like he just has the gift
for gab and he is what you described
1265
01:11:22,975 --> 01:11:24,115
there just reminded me of him.
1266
01:11:24,145 --> 01:11:25,195
'cause he is the same way.
1267
01:11:25,245 --> 01:11:32,205
He likes to get out from the podium and
have that connection and read the room.
1268
01:11:32,295 --> 01:11:32,655
Yeah.
1269
01:11:32,775 --> 01:11:32,985
It,
1270
01:11:33,225 --> 01:11:34,605
it does make a difference.
1271
01:11:34,635 --> 01:11:35,415
It makes a difference.
1272
01:11:35,415 --> 01:11:39,495
Especially like I said, when, when
maybe the audience isn't super into
1273
01:11:39,615 --> 01:11:43,515
the subject matter, but maybe they're,
they're into the presenter themselves.
1274
01:11:43,890 --> 01:11:44,190
Yeah.
1275
01:11:44,370 --> 01:11:44,580
Yeah.
1276
01:11:44,580 --> 01:11:46,310
No, it, it's definitely good.
1277
01:11:46,310 --> 01:11:49,290
How about advice on PowerPoints?
1278
01:11:49,430 --> 01:11:55,460
I, it's, it's such a simple, so much
simple advice to it that I think it
1279
01:11:55,460 --> 01:12:01,250
just is so obvious, but it's trying not
to have too much text on the screen.
1280
01:12:01,340 --> 01:12:01,430
Mm-hmm.
1281
01:12:01,620 --> 01:12:04,440
Because a lot of times it's gonna
be really hard for people to
1282
01:12:04,440 --> 01:12:06,000
see in, in the back of the room.
1283
01:12:06,000 --> 01:12:10,170
I try to have light backgrounds and
white backgrounds because you just don't
1284
01:12:10,170 --> 01:12:14,110
know what the room is gonna be like,
or if the sunlight's gonna wash it out.
1285
01:12:14,115 --> 01:12:14,145
Mm-hmm.
1286
01:12:14,245 --> 01:12:18,085
A lot of times the bullets are really,
really short and they're just placeholders
1287
01:12:18,145 --> 01:12:24,055
for me to as reminders of what I wanna
talk about on, on that slide individually.
1288
01:12:24,205 --> 01:12:27,775
I love, especially crime stuff,
a lot of times what I'm talking
1289
01:12:27,775 --> 01:12:30,895
about is interesting crime stories.
1290
01:12:31,015 --> 01:12:35,645
It's, so people wanna see the
body cam video if you can show
1291
01:12:35,645 --> 01:12:40,855
that or the 9 1 1 audio or as best
you can of crime scene photos.
1292
01:12:40,855 --> 01:12:45,455
So especially when I have cases that
have been closed and I can kind of pull
1293
01:12:45,515 --> 01:12:47,675
a lot of that data for case studies.
1294
01:12:47,945 --> 01:12:51,815
I try to have as much kind of audio
visual stuff as, as I can have.
1295
01:12:51,815 --> 01:12:51,905
Hmm.
1296
01:12:52,385 --> 01:12:56,570
Yeah., I've struggled with that one
as well because I, I'm usually pretty
1297
01:12:56,570 --> 01:12:59,610
good at keeping the slides simple.
1298
01:12:59,710 --> 01:13:04,720
But I admit that sometimes I get a little
bit too caught up and maybe the animation.
1299
01:13:05,865 --> 01:13:07,670
Of the, of the slide.
1300
01:13:07,670 --> 01:13:12,050
'cause I like to tinker with that, but,
and it doesn't, it doesn't necessarily
1301
01:13:12,050 --> 01:13:14,030
have the impact that I'd like it to have.
1302
01:13:14,180 --> 01:13:18,470
I try to keep that animation
as minimal as I can just 'cause
1303
01:13:18,470 --> 01:13:22,730
inevitably either it's gonna go
wrong or you're gonna forget Yeah.
1304
01:13:22,735 --> 01:13:26,810
That you had that animation and
you're gonna click past it or
1305
01:13:26,810 --> 01:13:28,580
it's just gonna start right away.
1306
01:13:28,835 --> 01:13:29,125
Yeah.
1307
01:13:30,030 --> 01:13:33,840
But it is like, again, trying to kind
of that presentation of trying to
1308
01:13:33,990 --> 01:13:38,940
move around, but I try to make those
slides are just really reminders from.
1309
01:13:39,100 --> 01:13:41,710
Almost for me than it is for the audience.
1310
01:13:42,520 --> 01:13:42,910
Yeah, yeah.
1311
01:13:42,910 --> 01:13:43,000
I,
1312
01:13:43,755 --> 01:13:49,860
I present it, I presented ones with
animation and the, the reveal, like it was
1313
01:13:49,860 --> 01:13:54,990
supposed to be this great reveal in terms
of the, the section of the, the speech.
1314
01:13:55,080 --> 01:13:58,345
And somehow it played in reverse orders.
1315
01:13:58,965 --> 01:14:01,305
The reverse, the reveal was first.
1316
01:14:01,405 --> 01:14:01,625
Oh.
1317
01:14:02,150 --> 01:14:06,140
And, and I just had to just to
pre, I just pretended that that's
1318
01:14:06,140 --> 01:14:09,080
the way it was be and moved on.
1319
01:14:09,740 --> 01:14:12,590
And I was like, oh man,
how did that happen?
1320
01:14:12,590 --> 01:14:14,060
Because obviously I went over it.
1321
01:14:14,060 --> 01:14:19,340
It didn't do that when I went over it
five times beforehand, but, or when you
1322
01:14:19,340 --> 01:14:23,900
have a spelling error that you've looked
at that presentation 50 times and you,
1323
01:14:24,170 --> 01:14:27,990
and then you finally catch it, but
you're up presenting when that happens.
1324
01:14:28,140 --> 01:14:28,540
Yeah, yeah.
1325
01:14:28,860 --> 01:14:29,160
Yeah.
1326
01:14:29,160 --> 01:14:31,110
That's, that's a, that's a tough one.
1327
01:14:31,110 --> 01:14:36,090
But your point is about colors and is,
is a good one, especially those that
1328
01:14:36,090 --> 01:14:41,190
are presenting for the first time,
because on your computer screen, that
1329
01:14:41,310 --> 01:14:46,020
color, it may look very different
than on a screen and a projector.
1330
01:14:46,170 --> 01:14:46,320
Right?
1331
01:14:46,320 --> 01:14:46,470
Oh,
1332
01:14:46,470 --> 01:14:50,310
especially when you're in like a
hotel ballroom and they've got a
1333
01:14:50,310 --> 01:14:54,630
10-year-old projector and you don't
know what laptop is gonna be there.
1334
01:14:54,635 --> 01:14:54,725
Yeah.
1335
01:14:54,730 --> 01:14:54,930
Yeah.
1336
01:14:54,930 --> 01:14:58,410
I try to keep my slides
as simple as possible.
1337
01:14:58,730 --> 01:14:59,210
Yeah.
1338
01:14:59,330 --> 01:15:03,140
Yeah, that's a, that's a, you get in,
you can get in some danger as well
1339
01:15:03,140 --> 01:15:07,240
that it doesn't it doesn't look quite
as good as it did on your home laptop.
1340
01:15:07,780 --> 01:15:08,260
Right.
1341
01:15:08,410 --> 01:15:09,820
So, all right.
1342
01:15:09,910 --> 01:15:11,620
Oh, very good.
1343
01:15:11,650 --> 01:15:17,010
And then so I, you know what, I forgot to
mention it before you mentioned interns,
1344
01:15:17,010 --> 01:15:19,170
you mentioned that you have interns.
1345
01:15:19,170 --> 01:15:24,990
I think you mentioned yesterday when we
were in the prep call that your series of.
1346
01:15:25,355 --> 01:15:30,125
Interns that you've had of all
found analyst jobs, is that correct?
1347
01:15:30,295 --> 01:15:30,985
Yes.
1348
01:15:30,985 --> 01:15:36,655
So I've had six interns and we're
actually in the process of hiring the
1349
01:15:36,655 --> 01:15:41,925
seventh one to come through, but all
six had been hired full-time as analysts
1350
01:15:41,925 --> 01:15:46,605
by police departments, local police
departments, with the exception of my
1351
01:15:46,605 --> 01:15:53,305
last analyst decided that she wanted to
actually be a police officer, but only
1352
01:15:53,575 --> 01:15:55,555
if she could stay with Eden Prairie.
1353
01:15:55,555 --> 01:15:56,185
So she mm-hmm.
1354
01:15:56,425 --> 01:16:01,670
She's kinda in the academy role
right now to hopefully be hired next
1355
01:16:01,670 --> 01:16:03,445
summer with, with our department.
1356
01:16:03,675 --> 01:16:03,965
Yeah.
1357
01:16:04,225 --> 01:16:05,150
So she, I don't know.
1358
01:16:05,150 --> 01:16:06,200
Is she an asterisk
1359
01:16:06,320 --> 01:16:06,650
then?
1360
01:16:07,340 --> 01:16:13,800
She, she is a little bit, but we, once
she gets out on the road, she's gonna
1361
01:16:13,800 --> 01:16:18,570
have a year of investigations experience
more than probably all of our new
1362
01:16:18,570 --> 01:16:22,260
officers that she's gonna have a lot
more investigative experience than them.
1363
01:16:22,320 --> 01:16:22,950
That's true.
1364
01:16:23,160 --> 01:16:29,040
So what do you feel that you are teaching
these interns to have such a nice success
1365
01:16:29,040 --> 01:16:30,750
rate coming out of the internship?
1366
01:16:30,850 --> 01:16:36,850
I, I think part of it is I am not treating
them like interns, but trying to treat
1367
01:16:36,850 --> 01:16:40,270
them as equals really from day one.
1368
01:16:40,270 --> 01:16:45,720
So teaching them my style, of
writing and my expectations.
1369
01:16:45,720 --> 01:16:51,040
But what I tell them is that three months,
in four months into this internship,
1370
01:16:51,130 --> 01:16:57,710
you're going to, they're gonna be doing
85% of what I do on any given day.
1371
01:16:57,710 --> 01:17:01,370
So what I'm asking them to do is
no different than what I have to
1372
01:17:01,370 --> 01:17:03,040
do when, you know they're gone.
1373
01:17:03,220 --> 01:17:06,100
And so it's, it's high expectations.
1374
01:17:06,615 --> 01:17:10,765
That they're going to be fully functioning
six months into the internship and
1375
01:17:10,765 --> 01:17:15,625
be able to, to leave and, and be a
full-time analyst somewhere else in, in
1376
01:17:15,625 --> 01:17:17,695
the Twin Cities or around the country.
1377
01:17:17,815 --> 01:17:23,365
But it's, it's kinda teaching them
that concise writing style, that
1378
01:17:23,425 --> 01:17:25,435
presentation style that I have.
1379
01:17:25,525 --> 01:17:31,235
And how to communicate verbally
with, with other officers and,
1380
01:17:31,235 --> 01:17:32,825
and detectives in the department.
1381
01:17:32,945 --> 01:17:36,005
'cause you may have a really,
really good idea, but it's gonna
1382
01:17:36,005 --> 01:17:39,155
be how you communicate that, of
how people are gonna respond.
1383
01:17:39,275 --> 01:17:42,035
So it's kind of all encompassing of.
1384
01:17:42,570 --> 01:17:43,770
Teaching them that stuff.
1385
01:17:43,800 --> 01:17:48,290
And really the 15% that they're not
able to do towards the end of the
1386
01:17:48,290 --> 01:17:52,660
internship is really the more complicated
kinda long-term cases that I'm gonna
1387
01:17:52,660 --> 01:17:57,530
hold on to just because I may have to
testify on that four years from now.
1388
01:17:57,530 --> 01:18:00,590
And so it's just easier if,
if I keep those kind of more
1389
01:18:00,590 --> 01:18:02,120
long-term complicated cases.
1390
01:18:02,300 --> 01:18:02,720
Yeah.
1391
01:18:02,780 --> 01:18:04,760
How long do you normally
have the intern for?
1392
01:18:04,890 --> 01:18:08,940
Anywhere from the shortest
has been, I think six or seven
1393
01:18:08,940 --> 01:18:11,130
months, but most are about a year.
1394
01:18:11,280 --> 01:18:11,580
Okay.
1395
01:18:11,580 --> 01:18:13,020
Before, before they leave.
1396
01:18:13,025 --> 01:18:14,850
That's a pretty, that's a pretty
good chunk that, I mean, that
1397
01:18:14,850 --> 01:18:18,900
definitely gives you time to get into
all the stuff you just described.
1398
01:18:18,900 --> 01:18:22,020
I was, I was thinking like one semester
I was just like, wow, that's a lot.
1399
01:18:22,020 --> 01:18:24,360
You're getting a lot accomplished
in like three months.
1400
01:18:24,860 --> 01:18:29,720
No for, except for the, the last
intern, almost every intern has been
1401
01:18:29,820 --> 01:18:35,190
either near gradu college graduation
or has recently graduated from college.
1402
01:18:35,400 --> 01:18:35,640
All right.
1403
01:18:35,940 --> 01:18:36,630
Very good.
1404
01:18:36,630 --> 01:18:40,410
Well keep up the good work
teaching the next generation.
1405
01:18:40,540 --> 01:18:40,870
Thank you.
1406
01:18:40,870 --> 01:18:41,830
I really enjoy it.
1407
01:18:42,010 --> 01:18:42,220
Yeah.
1408
01:18:42,520 --> 01:18:42,940
All right.
1409
01:18:43,000 --> 01:18:46,300
Well, let's finish up with
personal interest then.
1410
01:18:46,360 --> 01:18:47,980
And I love it.
1411
01:18:47,980 --> 01:18:51,010
I sometimes, I just love the fit, right?
1412
01:18:51,010 --> 01:18:52,450
You're in Minnesota.
1413
01:18:52,840 --> 01:18:55,060
What would I be thinking
that you would be into?
1414
01:18:55,270 --> 01:18:55,840
Yes.
1415
01:18:55,930 --> 01:18:56,560
Hockey.
1416
01:18:56,715 --> 01:18:58,005
You play hockey.
1417
01:18:58,005 --> 01:19:01,515
You coach hockey, you eat sleep hockey.
1418
01:19:01,515 --> 01:19:04,115
So just I, I'm taking, I'm taking it.
1419
01:19:04,115 --> 01:19:06,635
You, you've been playing
hockey for quite a long time.
1420
01:19:06,965 --> 01:19:07,295
Yep.
1421
01:19:07,295 --> 01:19:09,005
Since since I was a little kid.
1422
01:19:09,065 --> 01:19:12,945
My, my dad played hockey, got
me into hockey, and then as soon
1423
01:19:12,945 --> 01:19:16,560
as my kids were old enough to
be in skates they both, mm-hmm.
1424
01:19:16,665 --> 01:19:20,475
Were, were put out on, on
the rink to, to play hockey.
1425
01:19:20,475 --> 01:19:23,715
And I, I still coach my son's team.
1426
01:19:23,745 --> 01:19:27,195
He is a Bantam now, which
is eighth and ninth graders.
1427
01:19:27,195 --> 01:19:29,745
So I'm, I'm head coach
for his hockey team.
1428
01:19:29,925 --> 01:19:30,105
Yeah.
1429
01:19:30,315 --> 01:19:35,745
So when, when I, so I've lived in
Baltimore, Cincinnati, Nashville.
1430
01:19:35,865 --> 01:19:40,135
And I've heard of kids playing
hockey, but they're very
1431
01:19:40,135 --> 01:19:41,965
limited in terms of rink time.
1432
01:19:42,205 --> 01:19:44,485
Like rink time is a big deal.
1433
01:19:44,485 --> 01:19:47,875
And there's some guys that I,
that I know that play as adults,
1434
01:19:47,875 --> 01:19:50,545
they're playing in leagues where
they're playing at like 1:00 AM.
1435
01:19:50,725 --> 01:19:55,075
I'm curious to know that up in
Minnesota, I mean maybe, maybe the,
1436
01:19:55,075 --> 01:19:58,645
you're not as fighting over ring time
as much because there's more rinks,
1437
01:19:58,795 --> 01:20:02,995
there is considerably more
rinks in, in Minnesota and
1438
01:20:02,995 --> 01:20:04,165
especially in the Twin Cities.
1439
01:20:04,165 --> 01:20:04,315
So I've.
1440
01:20:04,935 --> 01:20:06,585
I play in two adult leagues.
1441
01:20:06,745 --> 01:20:10,555
And we do have late times after
the kids are done with the ice.
1442
01:20:10,585 --> 01:20:14,845
But those late times are usually 10
o'clock or 10 30 is is the latest.
1443
01:20:14,880 --> 01:20:19,495
I've, I've had games but my son's ice
time is a lot of nine o'clock at night,
1444
01:20:19,525 --> 01:20:21,595
but nothing, nothing past midnight.
1445
01:20:21,715 --> 01:20:22,105
No.
1446
01:20:22,205 --> 01:20:27,035
But as you mentioned yesterday too, that
this has helped you build relationships
1447
01:20:27,095 --> 01:20:33,005
with other officers, other, other
networks because they may be into
1448
01:20:33,005 --> 01:20:35,075
either coaching or playing themselves.
1449
01:20:35,225 --> 01:20:39,635
Yeah, a lot of we have several of my
coworkers here in the police department,
1450
01:20:39,635 --> 01:20:43,625
detectives and officers all played
hockey and all have kids in hockey.
1451
01:20:43,625 --> 01:20:48,535
So there's a lot of hockey talk of,
drills and coaching experiences.
1452
01:20:48,535 --> 01:20:53,755
And actually in my cube, I have three
hockey sticks and a couple of stick
1453
01:20:53,755 --> 01:20:58,855
handling pucks that are just available
for detectives as we're talking about
1454
01:20:58,855 --> 01:21:02,735
a case and working, working a case
out of what still needs to be done.
1455
01:21:02,735 --> 01:21:07,175
It's kind of the, the thinking stick
where detectives will come in and
1456
01:21:07,175 --> 01:21:11,675
just stick handle with a, a, a stick
handling ball and, and a stick as
1457
01:21:11,675 --> 01:21:12,910
they're working through it with me.
1458
01:21:13,640 --> 01:21:15,110
Oh, that's, that's great.
1459
01:21:15,830 --> 01:21:18,020
It's very, very hockey centric here.
1460
01:21:18,410 --> 01:21:19,760
So what position do you play?
1461
01:21:19,940 --> 01:21:25,550
Well, so I captain one team
and I run another league.
1462
01:21:25,580 --> 01:21:25,670
Mm-hmm.
1463
01:21:25,910 --> 01:21:29,090
And so by default, a lot of times
I play defense because mm-hmm.
1464
01:21:29,330 --> 01:21:32,000
Not everybody wants to
play defense, but yeah.
1465
01:21:32,130 --> 01:21:34,405
I do love playing forward.
1466
01:21:35,355 --> 01:21:36,885
And playing right wing.
1467
01:21:37,245 --> 01:21:37,335
Mm-hmm.
1468
01:21:37,335 --> 01:21:39,435
Just to have a little bit
more scoring opportunities.
1469
01:21:39,435 --> 01:21:42,915
But I do find myself playing,
playing defense more often than not.
1470
01:21:43,035 --> 01:21:43,125
Yeah.
1471
01:21:43,395 --> 01:21:48,255
Now do you watch, do you get to
watch the pros much or you're you're
1472
01:21:48,285 --> 01:21:49,605
too busy playing and coaching?
1473
01:21:49,705 --> 01:21:51,955
Well, I, we watch a, a fair amount.
1474
01:21:51,955 --> 01:21:55,015
We, I live in St. Paul, so we're mm-hmm.
1475
01:21:55,016 --> 01:21:56,775
Close enough to we're the wild play.
1476
01:21:56,775 --> 01:22:00,165
So, we'll, we'll often catch games
either last minute where we can
1477
01:22:00,165 --> 01:22:01,545
maybe get discounted tickets.
1478
01:22:01,545 --> 01:22:07,145
And then the us world Juniors are gonna be
held in St. Paul here in a couple weeks.
1479
01:22:07,145 --> 01:22:10,215
And so we're already planning on
going to a couple games, including
1480
01:22:10,215 --> 01:22:12,015
with my, my son's whole team.
1481
01:22:12,015 --> 01:22:13,455
So I think we got 40 tickets.
1482
01:22:13,845 --> 01:22:14,955
Coming up next week.
1483
01:22:15,105 --> 01:22:15,675
Nice.
1484
01:22:15,915 --> 01:22:16,425
Nice.
1485
01:22:16,425 --> 01:22:16,785
No, yeah.
1486
01:22:16,785 --> 01:22:16,905
Go.
1487
01:22:16,905 --> 01:22:17,595
USA
1488
01:22:17,925 --> 01:22:18,465
Yeah.
1489
01:22:18,525 --> 01:22:23,595
For the, for the listeners., If you've
never been to a hockey game and, and have
1490
01:22:23,595 --> 01:22:27,045
the opportunity, I highly recommend it.
1491
01:22:27,075 --> 01:22:34,335
It is, I feel that it is a unique
experience compared to the other sports.
1492
01:22:34,455 --> 01:22:37,185
And, and you'll just be
able to feel it right away.
1493
01:22:37,335 --> 01:22:39,675
It is, it's my favorite live sport.
1494
01:22:39,795 --> 01:22:39,885
Mm-hmm.
1495
01:22:40,075 --> 01:22:43,385
Because there's just you're on the
edge of your seat every time that
1496
01:22:43,445 --> 01:22:46,835
there's gonna be a shot of not knowing
whether it's gonna go in or not.
1497
01:22:46,885 --> 01:22:48,445
I've been to other.
1498
01:22:49,210 --> 01:22:51,790
Pro, all the other pro
sports several times.
1499
01:22:51,790 --> 01:22:54,850
And I always felt like whenever
I've attended a pro football game,
1500
01:22:54,850 --> 01:22:58,300
I've just enjoyed it better being at
home with all the stops and stuff.
1501
01:22:58,300 --> 01:23:01,800
But yeah, I love being watching
a, a hockey game in person.
1502
01:23:02,400 --> 01:23:03,510
Very good, Ryan.
1503
01:23:03,600 --> 01:23:04,110
All right.
1504
01:23:04,350 --> 01:23:05,910
Thank you for being here today.
1505
01:23:05,910 --> 01:23:08,700
Thank you for all the work and
contributions you are doing up
1506
01:23:08,700 --> 01:23:11,550
there in Minnesota we're gonna
finish up with words to the world.
1507
01:23:11,610 --> 01:23:14,580
This is where you can promote
any idea that you wish.
1508
01:23:14,610 --> 01:23:16,680
Ryan, what are your words to the world?
1509
01:23:16,800 --> 01:23:19,680
My words to the world are just.
1510
01:23:20,085 --> 01:23:25,035
So simple of being kind and making
sure that you're giving back.
1511
01:23:25,035 --> 01:23:29,715
And that's one of the reasons why I
love coaching youth sports and also
1512
01:23:29,715 --> 01:23:34,885
the mentorship and, and internships
that I've, I've tried to provide that
1513
01:23:34,945 --> 01:23:38,155
there were a lot of people that took
a chance on me and, and gave me an
1514
01:23:38,155 --> 01:23:44,215
opportunity to do a job that I could
never imagine doing when I was in college.
1515
01:23:44,435 --> 01:23:47,045
But now I can't imagine
doing anything different.
1516
01:23:47,045 --> 01:23:50,365
And so it's I wouldn't be here
if certain individuals hadn't
1517
01:23:50,365 --> 01:23:51,325
given me the opportunity.
1518
01:23:51,325 --> 01:23:54,325
And so I wanna make sure that I'm giving
others that, that same opportunity.
1519
01:23:54,475 --> 01:23:55,255
Very good.
1520
01:23:55,255 --> 01:23:57,475
Well, I leave every guest with,
you've given me just enough
1521
01:23:57,475 --> 01:23:58,585
to talk bad about you later.
1522
01:23:59,815 --> 01:24:00,445
Perfect.
1523
01:24:01,015 --> 01:24:03,355
But I do appreciate you being on the show.
1524
01:24:03,475 --> 01:24:04,975
Thank you so much.
1525
01:24:04,975 --> 01:24:05,635
And you be safe.
1526
01:24:05,815 --> 01:24:06,895
Oh, thank you so much.
1527
01:24:06,895 --> 01:24:07,639
I've had a great time.
1528
01:24:07,639 --> 01:24:09,979
Thank you for making it to
the end of another episode of
1529
01:24:09,979 --> 01:24:11,359
Analyst Talk with Jason Elder.
1530
01:24:11,449 --> 01:24:14,899
You can show your support by sharing
this in other episodes found on
1531
01:24:14,899 --> 01:24:19,159
our website@www.leapodcasts.com.
1532
01:24:19,369 --> 01:24:22,519
If you have a topic you would like
us to cover or have a suggestion
1533
01:24:22,519 --> 01:24:27,229
for our next guest, please send
us an email@podcastsatgmail.com.
1534
01:24:27,319 --> 01:24:29,149
Till next time, analysts, keep talking.