Analyst Talk - Angie Stroda - From Corporate World to Crime Analysis - Leapodcasts

Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
Welcome to Analyst Talk with Jason Elder.

(00:01):
It's like coffee with an analyst,or it could be whiskey with an
analyst reading a spreadsheet,linking crime events, identifying a
series, and getting the latest scoopon association news and training.
So please don't beat that analystand join us as we define the law
enforcement analysis profession.
One episode at time.
Thank you for joining me.
I hope many aspects ofyour life are progressing.
My name is Jason Elder, and today ourguest has five years of law enforcement

(00:26):
analysis experience all as a crimeanalyst in, Hutchinson PD in Kansas.
She studied criminal justice at WestTexas in Kansas Wesleyan University.
She's here to talk about, amongother things, analyzing jail data.
Please welcome Angie sda.
Angie, how we doing?

(00:47):
Doing great.
How are you?
I am doing very well.
How's Kansas these days?
It's been hot.
Yeah.
Yeah.
Hot and humid.
Very hot and hum.
So
that's what happens in August.
Yeah.
True.
Now do you get, are, do youget the full seasons there
?So is the summer's hot and the winter's cold?
Yes, usually, yeah.

(01:09):
We had, we get snowand, . Ice, unfortunately.
And, and then we have hot summers,so we definitely get the four,
all of the four seasons up here.
Yeah.
And it's flat and windy.
Yes.
Very
windy.
I don't know how Yeah, with theI think we're probably windier
than the windy city Chicago, so.

(01:29):
Yeah.
Yeah.
That's, that's great.
All right, so looking forward tohearing your journey how you got to
becoming an analyst in Hutchinson.
For the listeners, we are goingto do a call in segment today,
shit, you here in the office.
So if you have a wild officestory, get your calls in now.
Alright, Angie, how did you discoverthe law enforcement analysis profession?

(01:53):
Well, I had originally.
Like you said, mentioned I hadgone to school in wanting to go
into law enforcement and due tohealth issues and everything, I
decided to go a corporate route.
And I hadn't really thought aboutthe law enforcement profession.
I thought that was something that I wouldnever get to do due to physical stuff.

(02:15):
. I worked in the corporateuntil, you know of course when I
started last five years ago here.
But I was in the pharmaceutical industryand the biofuel industry and COVID hit
and the biofuels and gas took a huge hit.

(02:37):
. If you remember, I, along with a lot ofother businesses, and so I was laid off
from that job and so then I had plentyof time to kind of reevaluate my life,
thinking about what I wanted to do.
And in looking through openposts and everything, I saw the
Hutchinson Police Department waslooking for a crime analyst, and

(02:59):
I read through the requirementand what a crime analyst would do.
So I was like, wow that would be a reallygood way for me to get back where I
wanted to be, but still use the skillsthat I developed over the last 20 years.
And I thought, well, I probablywon't have much of a chance.
But I I sent my resume in and I gota call the next day actually, and I

(03:24):
interviewed with the chief at thattime and he offered me the job.
Nice.
And he said he said I have no doubt.
That you'll be able to learn everythingas far as like mapping goes and learning
about criminal behavior and kindof just law enforcement in general.
He said, I have no, I have no doubtthat you'll be able to figure all

(03:46):
that out quickly, so welcome aboard.
Yeah, this is quite a differentjourney from what I hear often.
Usually I hear analysts that inthe government sector for, for
years, decades, and then they mightleave to go to the private sector.
And so you, go right into the privatesector right away, and you work for

(04:09):
Xerox, you work for McKesson, which forthose that may not know this is dealing
with pharmacy data and, you mentioned,the ethanol products corporation that
you worked for at the end there before.
COVID , like on your resume here,your, summary says, results oriented
individual who thrives in fast pace andcompetitive environments, detail oriented,

(04:34):
analytical, and a strategic thinker.
Yes.
So when I my skills that I had gottenover the years I think he was, he
was really impressed with the Excelskills I had with building dashboards.
He was a very statistics orientedchief I've done what's best when

(04:56):
I was working with biofuels todetermine shipping patterns and what
best far as like logistics and whatwas the least inexpensive routes.
. So just the years of working.
With Excel and differenttypes of programs with access.

(05:18):
And then of course I got a base ofcustomer service and just different
industries and I think . That with him, Imean, and when it goes for like strategic
data, I mean, it, it's like data's data.
You just tell me where to go pull it.
. And you, you, you get to know how to present to different types of, of people.

(05:39):
. So if you tell me a little bit of what you're looking for and you
point me in the right direction, I'mgonna be able to pull that for you.
And clean it up
so I think . He was looking for somebodythat could come in and take all the
data and put it in a format thatwas good for him and the department

(06:00):
that he could easily see and track.
Because he had really kind of startedthe intelligence led policing here.
. And they had a, they had anindividual that did some of the
crime analysis before I did.
But a lot of that I had to teachmyself 'cause she was already gone.
When I came in so my biggest areasthat I needed to to work on was

(06:22):
learning how to do all the mapping andthen of course all the intel stuff.
But I'm when I started, I jumpedright in and Nice had dashboards
built in a less than a month.
So, so when you get to the policedepartment, take us back to the first
couple weeks 'cause you just, as youmentioned, you were able to get a
dashboard up in a month, but when you'refirst walking in and you're getting used

(06:46):
to your environment, is the fast pacedenvironment that you came from how did it
relate in terms of the police department?
Was it on par?
Did it seem slow?
It was slow coming in into it.
Mainly because.
A lot of like the detectives or officers,they weren't really used to having

(07:09):
like an analyst here, I mean . Otherthan kind of getting some a few graphs
and charts some intel briefings.
And so when I first came in, I'mlike, okay where do I get this?
Where do I get that?
And a lot of the detectives and even someof the supervisors, like, oh gosh, I, I'm

(07:29):
not sure because they're not dealing withthe, the analytic portion or the data.
Yeah.
They're just, they'redoing the police work.
So it was it was difficult to findeverything that I needed right at first.
. And kind of getting down.
What type of crimes thatneeded to be reported on.
So, but it was, it was a little slowwhen I first came on, and it's just

(07:52):
like, it gradually the role grew andgrew because when they had originally
had posted my role, they were goingto add a intelligence analyst as well.
. And, but I found that doing justthe data portion that wasn't
gonna really fill up my time.
And so I just kept askingfor more responsibilities.

(08:15):
And luckily my lieutenant at thetime, he was always very supportive.
. He was like, sure, I'll get you on jail calls.
Sure.
I'll you let you do this.
And they learned that it wasvery beneficial and I ended up
really kind of filling both rules.
So I find it interesting, me, myself,I, I had a 10 year law enforcement
analyst career and now I've.

(08:36):
Spent the last to 12 ishyears in the private sector.
, It's fascinating looking at the privatesector, looking at that because , it
seems like it's built in to analyze data.
They need data, they'remaking decisions on data.
And it's interesting from my vantagepoint, looking back now, that like,

(08:57):
why law enforcement, you have tohave a whole mantra about data driven
decision making or the use of data.
And it seems like data.
In police departments is sometimesan afterthought, something that
they just have to do because thegovernment requires them to do it
or somebody requires them to do it.

(09:18):
And it's fascinating the mindset ofcertain police departments when they
get an analyst, never had an analystbefore or never worked with an analyst
before, and then an analyst comes in inyour situation where you have decades of
experience using data to make decisions.

(09:40):
Yeah, exactly.
Especially even like with mapping.
And it's like, how did you knowwhere your hot I always say that that
feelings had to be backed by data.
. Like,
oh, I have a feeling thatand that happens a lot
with law enforcement.
. It's like, well, we know that certainareas are worse than others, but do
you have the data to back that up?

(10:02):
Because sometimes feelingsaren't exactly true.
. And so beforehand I think of these law enforcement agencies that may
not have an analyst or what they'redoing to help reduce crime and
not have any kind of mapping or.
Data that says Hey,this area is popping up.

(10:23):
Or they're just going by officerstalking to each other because one
platoon might go, oh I'm workingoff beat four and we we're having
a bunch of clet converter thefts.
. But then they don't say much to the next beat, or, I mean, the, the, the
next platoon and they don't see it.
I mean, it is just, I think havingan analyst just kind of centralizes

(10:46):
all of the information puttingout hot spots, mapping, and then
I think you can visualize that.
And know, Hey, this is where I need to be.
Or command staff can make those decisionsof hey, this is where we need to be.
And come up with a strategy.
When you got there, is the datain our records management system?

(11:07):
Yes.
Okay.
Some of it, I should say, most of it.
There are some that I some of them Ikind of have to build a workaround.
. I guess.
I can get the data from it, but gottago to a different type of report.
But I mean, for the, for the mostpart, the actual data I can get

(11:28):
out of our records management.
Yeah.
And so you're buildingthe exec Excel dashboards.
Are you connecting with like A-O-D-B-Cconnection and bringing in the data
that way to populate the dashboard?
No, we really don't get to, Iguess, have access to do that.
No.

(11:48):
So one time I asked, I said, can am I ableto get connections to your SQL tables?
Am I able?
And they said, no.
Oh,
geez.
Okay.
So what I do is they do have kindof like a behind the scenes, I, I
call it like a monster pivot table.
. And you can adjust it for dates andwhat type of reporting and it does

(12:11):
pull from tables, but I have it set towhere it'll just refresh and then, then
I can just copy the data and dump it.
And it's, it's all formatted andeverything, so it's really just kind
of a click of a copy paste update done.
Yeah.
So once you get it in to theworkbook, it can just flow from

(12:31):
there and populate all necessarily.
Very little work to do as far as doingmonthly updates and things like that.
Alright.
And so, and the population is40,000 people in Hutchinson.
What are your main crime problems?
You, you mentioned Cadillacconverters, but I mean, what, what
are some of the main issues thatyou've experienced over the years?

(12:54):
Our main issue isproperty, crime and drugs.
. And they go hand in hand, it seemslike drugs tend to fuel everything.
We have pretty low violent . Crime rate.
So yeah, it's, it'smainly property and drugs.
And you mentioned GISare you, you using Esri?
No, we don't have that subscription.

(13:16):
I just use the free one, the QGIS.
Oh, okay.
You're self taught in that, so , howwas that teaching yourself that tool?
Well, QGIS was very hard.
. And I only know a fraction.
What I use it to what I need.
Yeah.
But I found that had apretty steep learning curve.

(13:36):
Yeah.
So I mean, I use a lot of QGISmaps, I, and I'll use Excel 3D
maps especially if it's if it's notdata that I, I need to distance and
measure all those type of things.
I find that like for presentation, forthe like command staff, it's the city.

(14:00):
That 3D Excel dashboards arereally kind of the best visually.
. And they're easy for people to use.
'cause if you ever use a pivot table,then you can use this map in 3D, Excel.
And especially, even if you dump a lotof data into it, you get to like, I don't
wanna see this particular you're justable to kind of select what you want.

(14:23):
I mean, you can do that in QGIS,but another, like an officer or
some of the command staff, they're,not gonna go do that in QGIS.
So you have to make it something easyfor individuals to be able to go and
go, okay, well let me, I, I can dothis 'cause I'm just clicking buttons.
, So you're bringing in the mappingdata into the Excel dashboard?

(14:47):
Or are you, did you sayyou're using the Excel?
Mapping,
So it doesn't come throughto the Excel dashboard.
. But what I do is and that's I wish theywould have it to where I could do that,
but it's really just kind of like a link.
. That they can just open.
Oh, I see.
If you just click open, they,they can immediately pull it up.

(15:08):
Right.
And if they're just like sometimesif like the city or somebody that's
really doesn't need to manipulate it.
. They can I'll create a video for monthly presentations or whatever.
You can create a video of like thetime lapse in 3D maps and I'll just
create a video and they can justclick on the video and watch it.

(15:30):
Now these dashboards going all theway down to the patrol officer or is
he staying at like middle management?
Above.
All the, all officers andcommand staff can use it.
. . It's
accessible to all of them.
You find some that don't want tomess with it because it scares 'em.
And then then you have some thatare very curious about crime stats.

(15:53):
I mean, because it had, not only didI build the dashboards for like just
crime stats, like your part one crimes.
.We,
We measure our proactivity here aswell and so they like to be able to
look at the pro their own proactivity.
'cause I've made it to where you canselect by officer and they can see if
they're meeting goals and, and things.

(16:14):
Yeah.
Go into that a little bit.
Proactivity and some of the metricsthat are in involved in that.
So the pro, what we consider theproactive calls are officer initiated.
Those would be like your communityengagements and any intelligence gathered.
You have traffic stops and warrantservices, field investigate like

(16:37):
fis, and so we measure those andyou monthly so that they're able
to kind of see what they're doing.
So you have like two types of communityengagements one that you're building trust
. With the
public, and they go go to schoolsand just relationship building.
And then the hopes is, isthat they feel more at ease.

(17:00):
. With officers and are more willing to share problems that are going on in
their community or their neighborhoodsand report things that they see.
And so that kind of leadsto intelligence gather.
I gotcha.
And
Hmm.
And their fis, you are able to seewhere in a town of our size and the

(17:21):
drug issues, a lot of our I guess drugaddicts, they hop around place to place.
I mean, they're, they'll be in a place formaybe six months and then they move on.
So fis usually kind of helpwith who's in the area.
They talk to neighbors and.
A little bit more specific if, if they'reseeing something suspicious in the area.

(17:45):
Hmm.
And then of course trafficstops and warrant services.
It, it seems, honestly, and I haven't beenable to prove it really statistically,
but it's because it just don't havethe, when the chief started, it's
really only going back a couple years.
So as far as like really gettinginto that intelligence led policing,

(18:09):
there's really not enough data thereto tell me exactly what kind of impact.
But that's always one thing that wantto be able to measure is the impact of
those particular officer led initiatives.
The effect on crime rate.
I mean, we can see the crime rate go down.
. Which ours, ours has been goingdown, I mean, it was back in 2018,

(18:31):
I think it was 40 something perthousand, and now it's down to 27.
So, I mean, there's been big strides made.
. But it seems that perhaps you kind of some FIS and orange services that
are applied in a particular areaas far as that effect being able

(18:54):
to truly measure the effectiveness.
Effectiveness.
Like if there's more warrantservices, what weight do those have?
I mean, is and fi more importantthan a warrant service or more
important than as traffic stop?
Yeah.
So,
so those are, those are things that wannabe able to kind of look at a little more.
I mean, we know that havingofficers in the area deters

(19:17):
crime and helps reduce crime.
Yeah, I, I like the fact thatthere's an incentive for the patrol
officer to be on the dashboard.
Right.
You talked about the, stats that heor she can track for their own person.
It's not just the part one crimesthat that you mo mostly see.

(19:41):
It's, it's.
Information that they're intriguedby and they, they have their own
personal goals to try to approve upon.
Right.
And then I had created a dashboardas well, that is what I called,
like a suspect dashboard.
. And it's like I could never just like find anything where I could go put in

(20:02):
burglary, tell me your top five people.
. Or your top 10 people.
And so what I did is I extractedlike suspect data, arrest data,
and integrated some pictureswith it as well of like mugshots.
. And what I did was made it so that an officer or anybody else

(20:24):
wanted to go in, they go, okay,for this year, who are my top 10?
Burglars or who are my top 10 car thieves.
And so every selection that they make,and you can drill it down to types
of crime as far as getting much moregranular and and all that information

(20:45):
changes along with the pictures.
And it shows a map, andthat's using being maps.
But the map a list, the person is like,okay, well this person is, has the
highest amount of crimes, is burglary,and there'll be a, a map that shows
where all his crimes, he or she, orwhere their crimes were and how many,

(21:09):
how many arrests they've had, who ifthey're on corrections or probation,
who's their probation officer.
That and what theirlast known address was.
And so you're able to see all thatwith and then was the, it's the top 10.
Yeah.
You can, huh?
So that, that data soundslike that would come from the
sheriff's office, is that correct?

(21:31):
Yes.
It, I mean, we're kindof integrated, you know?
. With the, as far as being,I have the ability to pull.
So nice.
Yeah.
Difference betweenmunicipal and and district.
So I learned that early on,that I was like, oh, I guess
I gotta request that too.
Because I was like, whyam I not seeing this

(21:51):
now?
It makes me think backduring my time at Cincinnati.
So Ohio has pretty opensunshine laws, right?
You can get a lot of dataabout in Ohio, right?
. But one of the rules is there's arestriction on probation and parole

(22:12):
data, even for law enforcement.
So I could not, gather the informationthat you were talking about.
It was stressful because that we realizedthat there was, was recidivism and once
they got out and, and that we knew thatthere was a good chance that they might
be doing some of the crimes again.

(22:34):
But we had that disconnect there and itwas really, it was really frustrating.
So that information that you havethere at your disposal, not everybody
is gonna have access to, but it's,it's great that you, it seems like
it's in sync with you and the.
The police department andthe sheriff's department.
Yeah, they, they provide the correctionslists and, and probation lists so

(22:59):
that we we're aware of who's on what.
. Yeah.
All right.
Let's well this brings usto your analyst badge story.
And for those that may be newto the show, the analyst badge
story is the career defining caseor project and analyst works.
And for you it's 2024, so thisis just last year, but you're

(23:19):
dealing with A ATM Jackpot Series.
Yes, this would've been last summer.
. We had calls come in that the ATMs at several different
locations had been accessed.
Couple of them were not successful.

(23:40):
But they did have a couple that were
.And normally when we thought of ATMs being accessed, it was somebody
like hooking a chain up and pullingthe front end off, or them break,
trying to physically break into it.
But this was a software.
Oh.
So they installed software thatcaused the ATM to spit out money.

(24:01):
And when looking back atwe had the ATM footage.
. Because it shows, they always have that camera right there
and it shows the individual.
But these individuals were not re,you could tell they weren't local.
Didn't
recognize 'em.
And they were working in a teamof about six, six or seven.

(24:25):
And you can, they had like earphonesin, you could tell they were talking and
like one would come up to the machine,do something, then another one would
come up to the machine and do something.
So they all had like their rolesand jobs and we had these perfect
pictures of them and so no, we.
We didn't get any hit on facialrecognition, on the open source

(24:48):
facial recognition that I use.
Like PI Eyes or search forphases, those type of things.
And didn't get any hits on that.
And then we have like a regional emailgroup to where we talked to police
departments within like an hour radius.
. An hour to two hours.

(25:09):
And then we noticed that neighboringtown sent in the same info and it was
the same leader because it was thesame guy that started it off, I guess.
And I was like, oh, so he had, they,this group had been here and then been
north and been out east and it, theyeven had the same outfit on, but, so

(25:32):
we couldn't get any hits on facial reg.
None.
None of the.
Other departments had any info.
So we were just, we had looked atsecurity footage, we couldn't find a
vehicle, anything, and so we're justgonna be kind of like at a standstill.
So what I decided was, well, we knowthey were here at certain times and

(25:54):
days, and then they'd be up in anotherjurisdiction for these times and days.
And so what I did was, is we use Flockquite a bit, which is a great tool.
, For those that might not be familiar with Flock, you can give
a quick description of that Please.
Flock is a license plate reader.

(26:15):
. So they have cameras and it's just works like the other license plate readers.
But it's, it's very accurate.
I think it's very easy to use.
And I'm able to get, I mean, youcan put in descriptions of vehicles.
That you might be looking for.
Like if you have a suspect that leftin a white Camaro, you can go look

(26:36):
at those cameras and see if a whiteCamaro's hidden and matches this
.Description, or you can put in an actual license plate.
It's called like a hot list.
And you can put that in andyou'll get notified if they
hit one particular cameras.
And then, like NCIC entriesautomatically go in there.
So if you have stolen vehicles, it'llpop up and hit if it hits one of your

(26:59):
cameras, it'll let our, our teams know.
So I think it's, it's beena very effective, especially
with like stolen vehicles.
I think Wichita had good luck with stolenvehicles and homicide suspects, so it's.
It's just incredibly helpful tool.
So what I did was, is I found cameraslooked at our cameras and looked at like

(27:25):
Salina cameras and different areas Iwould've thought they would've hit and.
You can put in also, if you thinkwith the, if the vehicle's from
OUTTA state . You can change thatto show only out state vehicles.
So working on the assumption that theyweren't around here, it didn't seem like,
it seemed like they were just, they wereway too organized and that they were

(27:48):
probably traveling from state to state.
So I worked with, I tried theout-of-state license plates first.
So what I did is I ran all theinformation on our cameras.
With like Salinas cameras.
And then when I got that data, I wentahead and queried them against each

(28:10):
other to find common license platesand whittled it down to about five
where it had been here and, you knowthe other cameras that I looked at.
And so I thought, wow, that's, that's apretty small list, so thank God for that.
And
so I took those five licenseplates and then I got more granular

(28:35):
and looked at, okay, what timesdid they hit these cameras?
And after kind of whittling that down,I came up with one and I thought it
was at all, it hit those cameras andit could have been at all those places.
So I was working with our propertycrimes detective and I said this
license plate is a pretty good suspect.

(28:58):
That they could have beenall at all the places.
And when I looked itup, it was a rental car.
Hmm.
So I gave that information.
I said, you might wanna findout who rented that car.
And he did reach out and we got aname but no driver's license picture.
And I, later on we had Clearview,which is like a facial recognition.

(29:23):
On steroids.
It's, it's really something.
Is that with LexisNexis?
Yes.
Yeah.
And they were, they had just kind ofintroduced, they had partnered with
LexisNexis and so they we alwaysget those little things that says,
oh, this is on LexisNexis now and
.And I was like, Ooh.
And I talked to the commandstaff and chief and everything,

(29:44):
and I said, well set up a demo.
And I
was like, okay.
And we had the demo.
It was quite impressive.
And I said, Hey, we were like, Hey, canwe send you some pictures to, while you're
at it,
while you're at it, can youhelp us identify these people?
So I sent over the photos that wehad, and it did come back with some

(30:09):
information on a few of the suspects.
Well, one of the suspects thatcame back on the facial wreck.
Name matched to the personwho rented the vehicle that
we had the rental information.
So we were pretty surethat this was the group.
Two of them were brothers,but it turned out that they
were from Venezuela, I think.

(30:32):
We were able to get all thisinformation over to you know get
it federally taken care of becausethere, there was more than just ours.
I see.
And, and so we got, because wewere like we haven't had these
type of a ATM thefts before.
It was kind of new to us and tryingto get help from the feds on that.

(30:55):
And it had turned out we got acouple of the guys were arrested up
in Nebraska for the same thing, andit turned out they were our guys.
Two.
So last I knew they were federallybeing indicted, but if we had never
found that vehicle to kind of confirmonce we got the Clearview picture

(31:17):
and everything and just kind of tiedeverything together and it just showed
them importance of what you're able todo with flock to get suspect vehicles.
No, that's good work.
I, I do have a, just my, my own confusion.
So when you were comparing using Flockto the different cameras, had they hit

(31:40):
different ATMs like in the same night,or had that gone over several days?
It went over several days.
Okay.
And so it was, so
they had like come here once.
. And then they went somewhereelse and then they came back.
I see.
Yeah.
So they were, it was overa span of about a week.
Okay, so they probablyrented the car for a week.

(32:01):
. And then went about their businessgoing to all these different ATMs
, Along with flock, there are other license plate readers, and so I looked in, it was.
I put it, put that plate intoanother system and it found where
it had taken a picture at a parkedrental place in Kansas City.

(32:23):
. So we had a pretty good idea where theyrented it from because that same vehicle
with the same license was parked rightout in front of the, the rental place.
Yeah.
So that that kind of helped us too.
So, no, I think you knowthe right place to call.
That's a great use of license platereaders, which you, what you did
there and, being able to will itdown only have so many vehicles

(32:48):
that were in that, what'd you say?
Actually, you whittled it downto just the one that was in, at
least outta state out of that was.
In each one of those areas duringthe time of each each theft?
Yes.
Huh.
And then take me back to when theywere actually manipulating the ATM.
Are they putting something in the machinethat's overriding the system or are they

(33:14):
putting in some kind of codes in, is itsome kind of code combination that they're
putting into, dialing into the machine?
I wanna say they switchedout the motherboard in it.
. But they have a, like a universal key.
. All they had to do was pop the top.
Okay.
And so, so it wasn't I'm sure you canget those on the dark web somewhere.

(33:35):
Okay.
, You said , they basically, itwas a team effort, so everybody
had their piece of the pie.
How, long did it take them, tocrack open and , get the money?
It was, I wanna say anywherefrom 30 to 45 minutes.
Okay.
So it, and they just kinda rotatedin and you would see people
walk by in the background, but.
Unless somebody's really payingattention then you're like, well, okay.

(34:00):
Nobody even battered an eye.
Someone's standing behind them waitingin line and they, they're like,
Hey, I'm I'm stealing from this.
It's gonna take me about 20 minutes.
Can you come back later?
Later?
Yeah.
So it's, and I think with thatmay be why they had rotation
of . Somebody would be there for 10minutes, the next person come in.

(34:21):
Yeah.
So maybe it didn't look as suspicious,but they had people sitting out
like in the parking lot and stuff,and you could see that they were.
Watching to make sure that any policedidn't roll up or, or anything like that.
Hi, my name is Victoria Curtis,and my public service announcement

(34:45):
is that despite how we may act,analysts are not omniscient.
Please don't just give us a nameand tell us to work our magic.
We're not witches, we're data people.
Please give us context.
A report number, a date,literally anything.
I'm begging you just alittle cru of information.
My name is Erin Havelka, and a pet peeveis people who hoard information when

(35:10):
we're all supposed to be working together.
If there's one thing I can't stand, it'sbeing on a case where someone is holding
on to all the pieces of information,like a squirrel holding their collection.
At the end of the day, we all havethe same goal to solve the problem,
investigate and help get the job done.
When we share what we know, everyone wins.
Hi, this is Jennifer Scavotto.

(35:31):
I like to tell peopleto try to find your why.
Try to find a mantra or a quote thatwhen it is tough in this profession,
you can kind of say that quote or yourmotivational, to keep things going.
So one of mine happensto be a movie quote.
It is, do or do not.

(35:51):
There is no try, and that is justsomething that I keep repeating to myself
if I, if I need a little inspiration.
And you have another story, right?
Of one that , you use some forecasting on?
Oh, yes.
Along with flock, I usually willtake like if we have GPS data from

(36:16):
a vehicle ankle monitored data . AndI'll compile that and do some analysis.
And we had a subjectthat was dealing meth.
. And we had GPS.
And so I took all his data and I narroweddown like the best times of day that he
was probably going to pick up the hour.

(36:38):
So that that way we could be preparedlike, okay, this is our best chance.
. When, when he goes, so I given him thatdata and sure enough, you, the day I
predicted he took off and a lot of themgo to Wichita and he went to Wichita.
They were, and they were on followhim, and he came back and as

(36:58):
soon as he came into the countythey're trying to get him stopped.
Well, then he floored it and he wasjust speeding and running and throwing
dope out the window or out the sunroof.
And finally got him stopped.
But there's really justkind of powdery stuff left.
. I mean, they didn't have enoughto charge him with distribution.

(37:21):
Man, that, so that worked.
Chucking all that out the window.
Yeah.
Or so he thought.
Yeah.
So next day on the jail calls 'causethat's always the best time to go
listen to jail calls is right afterthey've been arrested because they
need somebody to do something for 'em.
And he called his friend on a video chatand they're, they're talking and he goes,

(37:42):
Hey, do you remember where we buried thatdog that time out on such and such road?
And she's like, oh yeah,I do remember that.
And she's like, like, how far was that?
And he was like, well, it's like whenyou were going over the second hill.
I'm like, okay.
So he had chunked some dope outthe window and he was trying

(38:07):
to tell her where to go get it.
And so I called my lieutenant at the time.
I'm like, Hey, and timing'severything on jail calls too.
So it is the quicker you're on 'em.
And I was.
Quick.
. Getting that information because we wanted to get it before she did.
. And so I gave him the informationand he went out there with a
couple of our spec op detectives

(38:29):
and
Went pretty much where he described,and lo and behold, they found
the bag of meth that he chopped.
So they were finally able to get thedistribution because , they never learn.
I don't, I don't know why theygive so much information, or
they think they're being clever,but they're not on jail calls.

(38:51):
Yeah.
No.
Well, there's so much, it's, it'sinteresting to me that they're even
committing crimes with a ankle monitor on.
Yeah.
I had several cases wherewe had a string of bergs.
. And I over the yearsI've learned, you know.
Which people were repeatoffenders and who does what.

(39:12):
So I was like, oh.
And they were kind of the area whereI knew this guy lived and he was on, I
said, I'm gonna go pull his ankle monitor.
. And I pulled his ankle monitor and sure enough he was at the Otter Burglaries.
I was like, oh my gosh.
So I worked with a property crimesdetective and they were able to get some
like ring camera footage and sure enoughhe knew what time to go look at that

(39:34):
ring footage 'cause of the ankle monitor.
So we had the ankle monitorand ring camera footage
putting him at, at the places.
Oh man.
We had another gal thatcommitted storage burglaries.
. Same thing.
She just, I guess they don't thinkthat we're gonna look at it or
I, I'm not sure.
The burglaries and the meth pickup.

(39:57):
At least I can understand a littlebit because you don't have that
specific point in time normally, right?
Yeah.
Unless, , unless somebody reported.
But, but the robbery, I mean, Imean, most people aren't gonna know
the exact time they got robbed.
Yeah.
And the location.
So that one's really bad.
Yeah.

(40:17):
But yeah, I mean, yeah.
Don't, it just amazes me thatthey will commit crimes while
they're still on an ankle monitor.
Yeah.
But let's go back to the, well, let's goback to the jailhouse data and, and talk
about that a little bit because you'renot the first analyst that's been on the
show and talking about the importanceof jailhouse calls jail calls, I should

(40:39):
call 'em, not jailhouse jail calls.
And so I just wanted to give youan opportunity to just really
elaborate on what you've beenable to get out of reviewing
those jailhouse calls, jail calls.
Well we've able to go back, likeif we've had search warrants been
able to hear if we miss something.
. And they've said, oh,what about, go look here.

(41:02):
Is that here?
I we've had guys that said, oh yeah,well tell mom to go check the glove box.
I'm like, okay, it's in the glove box.
They can go back out there.
And sure enough, there it is.
But other than information to be ableto kind of stack on more charges or

(41:22):
. Whatever.
I mean, you also have jailcalls if, where you're kind of
getting to know these people.
I mean not personally.
. But you get a real feel forpeople and how they're gonna be,
you get to see their associates.
I've gotten so many warrants out ofthose calls because they'll the video

(41:43):
calls, they're able to call fromhome, and so their, their friends or
whatever will call somebody in jail.
And I go, oh.
They have a warrant.
And so I'm looking at their backgroundand everything, and then I'm
like, okay, I know where they are.
And so then I give the informationto some officers and go, okay, well
this is where so-and-so's staying.

(42:04):
So there you go.
Easy picking.
And, but I mean,
man, yeah.
Don't, don't answer jailhousecalls if you have a warrant
against you, that is the, you
know, they just don't tip of the day.
But the funny thing is, is thatwhen they do we do find these

(42:24):
things that they're talking about or
.They've been picked up on a warrant and they're like,
how do they know where I was?
They do not link it back to a jail call.
They think somebody ratted 'em out.
Yeah.
So I'm like, well that's, that's good.
'cause the the less they know, the better.
We don't, we want 'em to talk a loton the calls and but I, I helped

(42:45):
the marshals one time that they werelooking for a violent offender and
they had like a ping and it was in aparticular area, but it was a pretty.
Large radius.
And I'm like, okay, we don'tknow who's in the area.
So I was helping them determine,okay, who's in this area?
And I saw a certain individual, Iwas like, oh, I know who that is.

(43:07):
And I was, had already been listeningto this person's calls and I went back
and, and she was talking about, well,I so and so knocked on my door at two
in the morning when we let them in.
And I was like well there he is.
So, I mean, it's just a combinationof know, knowing particular people and

(43:27):
their habits and their associations.
That's one, that's one of the bigones too, is being able to associate
who their girlfriend, their boyfriendwho their brothers and sisters are.
Friends are Yeah.
Of where they'll go or, so thateven when you're building your
association charts and things,it's that information is golden.

(43:49):
A lot of that is you just haveto go in there and listen.
And I know it, it can be tedious.
. Obviously, and usually you'll know, I mean, you have, like I said, like repeat
offenders that you can kind of focus on,but yeah, if, if you're not listening
to jail calls, you're missing out.
Yeah.
Hmm.
Because I've gotten so much intel fromjail, Colby, and I think they just forget

(44:14):
because they have that screen that comesup and says, this jail call or this.
Call is being recorded, blah, blah, blah.
. And I know they see it, but it's like, I don't know if they just
wanted to get to gossiping and theyforget they're being recorded or they
don't think we're gonna listen to it.
But we've had, we had people that,this one guy, he was talking to his

(44:36):
girlfriend and he just, he was, he goes,Hey, did you send that Easter card?
And I'm like, Easter card.
And he was so worried about, he goes,I haven't got my Easter card yet.
And I thought, oh, okay, now Iknow why there's something on it.
Yeah.
Because they actually will put somekinda wax or stuff on the mail.

(44:57):
Now they just view their mail on thekiosk so they don't get the physical mail.
At least not here.
They don't, but that was one ofthe reasons why is because they
would have Suboxone strips orsomething somehow on the paper.
Ah, yeah.
Hmm.
Yeah.
No.
Well, hey, this show I've learned,there's a lot of guests that have told

(45:18):
me that by the end of the interview theyactually forgot they were being recorded.
We get to talking and they it is like,oh, it was a lot of fun and I actually
forgot that we were being recorded.
Yeah.
So it, it's not just peopleat jailhouse either I've
experienced, so the jail calls.
Yeah.
All right.
Well, , let's talk aboutnear repeat analysis.

(45:41):
You mentioned another problem that youhave at Hutchinson is with property crime.
And so you've had some successidentifying additional property
crime using near repeat analysis.
Yes.
We have most of our crimes thatwe had that are committed, the
property crimes are really justkind of somebody's in the area.

(46:03):
They're not, it's kindof like an opportunity.
We don't have a lot of theorganized robberies or burglaries.
I mean, you do get those on occasionsthat we're small enough that we
don't quite have that huge problem.
But I was reading on better ways topredict where future crimes would be.

(46:25):
. And since property crimesare those are a little better
'cause somebody's in the area.
And so I went in and I was readingabout the near repeat, not jury.
Correct.
Explicit.
Temple University
.Is
where the calculator is.
And so it was relatively easy to use,but I, I looked at, and I kind of use

(46:48):
it a a little different, different way.
I, when you use the calculator, it'llgive you the ideas of like, okay, you're,
your, your radius is that you're 40%more likely to have another property
crime within 500 feet, a thousand feet.
So it can vary on the area,it can vary from city to city.

(47:11):
And then it also will give you thattime window of like the heightened
risk of when that crime could occur.
So if it moves past, let's say a10 day window, it's diminishing
off and you may not see any morecrimes for a minute in that area.
So what I did is I, I. I took all herinformation I used about a couple years

(47:36):
worth of data and I plugged that inand I was able to it told me the feet
and time, which were the highest risk.
So then I went in and plotted thoseall of our crimes, and I put a
radius around it for, you know ourswas about, about a thousand feet.

(47:57):
And so I put the the radius on thoseand I colored them according to weeks.
So a certain color meant it was morefresh a different color meant it was, the
threat was waning and what I would tell.
Patrol and the command staff.
I'm like, well, so when I plot theseand these circles overlap because

(48:20):
if you start getting a few crimes,they'll start to overlap and you can
definitely tell that it's hittingright in that near repeat area.
So to make it easy for patrol, I'llkind of put some, I'll put those maps
up and I'll also map some like someproperty offenders that are out of jail.
'cause I always monitorwho's in and out of jail.
. And I'll map those property crime individuals so we can kind of see

(48:43):
if there's a lot of property crimespopping up, who's in that area.
. But you know what the circles overlapping and then I'll, I'll kind of draw a
square and go ahead and put like a redsquare for patrol that when they have
time if they're not running from callto call, that if you're doing paperwork,
you're just need something to do.
You be in these areas because, you know.

(49:05):
Determined that just thepresence alone will deter crime.
But for, for me doing this and lookingat this, it was, it's anywhere from 85 to
a hundred percent as far as those boxes.
That I, and it I tested it for months andso it's we knew that if you start in and

(49:26):
there fails that if, if you, if you don'tdo anything about it, it'll just grow.
. But the importance of acting on thosequickly, but building those near repeat
maps for the, for the officers to seethey're, they're able to see, hey,
this is more real time information.
Like if you look at hotspots onmaps they may look at a 30 day.

(49:48):
Hotspot.
Well, if you had problems in thefirst part of the month or whatever,
but somebody's been arrested,it doesn't necessarily mean that
it's gonna keep in that spot.
But the, the near repeat is very, I'llsay it's more timely and right now.
. And as long as you act on those particularnear repeat areas, you'll have luck.

(50:11):
Like we've had, I, for example, wesent one out, I sent one out to patrol
and it's like, there's somebody aroundhere and there's gonna be more crimes.
And so they went down there andthey were able to, they found the
guy right in that area that theyrecovered stolen property and.
And it's funny, as soon ashe was arrested, the crimes

(50:32):
went away in that area.
So funny, funny
how that works.
Yeah, it's funny.
So you really, with our type ofcrime is usually you pluck somebody
out the equation, then you'llstart to see the crime dissipate.
But but I think those near repeatmaps just make a huge difference and
it's easy for patrol to kind of readand I'm able to present those to

(50:57):
command staff and I get those to them.
As soon as I see it'slike you might start with.
Just two crimes and you're like, uhoh.
And so I'm get that over there andthat way we can let command staff
decide how best to address it.
Yeah, but it's, it's, it's veryaccurate, at least for I would say, my.

(51:19):
Size of town because it's kinda likea, a mid-size town I guess, or but it
works well for us, so keep on doing it.
Yeah, yeah.
And we'll put links inthe show notes for this.
So this is near repeatcalculator developed by our
friend at Temple University, Dr.
Jerry Radcliffe.
, For you though, as you're using thecalculator there, any, any particular

(51:43):
setting that for precision thatyou've used when using the calculator
that's really helped you out?
Well, so I usually will put in, I,you can choose like your temporal,
you use like five and then you canput in like what increments of feet.
So I normally I to run it in the beginningI believe I set it at like 500 feet

(52:08):
and a thousand feet and maybe 15 days.
And you will have to take yourLatin long and switch it to Northern
and different type of location.
But I have a, I guess like a convertingExcel sheet that converts it to ing.
And so that would be but other thanthat it has to be into like a there's

(52:32):
a CSV file and it's . There's notmuch that you really need to put in.
It's really just kind of dateand, and those location settings.
. And it'll, it'll do the rest and youjust upload it in that calculator.
And for anybody that's new to usingit I would just try different.
A few different settingsand you'll find what works.

(52:53):
Yeah.
Now are you just, are you loadingall crime to the calculator or are
you filtering to certain crimes orfiltering to the May with, based
on, oh, I think all of these aredone by the same person or group.
No, the, I mean, it'sjust like property crime.

(53:13):
. So like burglaries or auto burglariesthings that kind of flow together.
But because ours is really just kind of,most of the time it's opportunity really.
. You can put several types ofproperty crimes obviously I'm not
gonna put shoplifting in there.
It's 'cause that's different type.
I mean, you're looking at burglaries,auto burglaries, stolen vehicles.

(53:34):
. And,
and I'll run them separately too, likejust burglaries or just auto burs.
So it's just, it's justreally whatever kind of works.
But yeah, I, I only use it for propertyand like I said, not shoplifting.
I don't use it for criminal damage or any
of that.
Right.
No.

(53:55):
Well, very good.
And again, we'll put links in the shownotes for additional information 'cause
that's a free tool to law enforcement.
It's definitely something thatanalysts should be taking advantage of.
How about advice for our listeners?
What advice do you have, whetherit's new analysts, experienced
analysts maybe return on investment,what can they study now that'll
be important five years from now?

(54:16):
What do you got for us?
Well, I think the biggest, thebiggest thing is for analysts is
looking at, especially reading a lotabout open source now that AI gets,
More popular looking atopen source training or.
Looking at different sites,I mean, there's some that
have kind of like toolkits.

(54:38):
. You can use Osint framework.
But I don't know if youever heard of Belling Cat.
They have like a toolbox and they evenhave challenges every week that you can go
in and they'll, they'll put what type of.
Information you need to answer.
It's a lot of fun.
But it's also training you to use likereverse image tools or like forensic

(55:02):
photo tools even flights and, I mean,'cause there's, it's amazing just how
much you can get off the internet,which never really thought about.
I mean like all the flight patternsfor everything that's in the air.
And they have even have likea, it's called sun calc.
. Where you can adjust, like if you werelooking for what time a photo was taken,

(55:24):
you can go in there and measure theshadow and I'll pinpoint a location.
So, I mean, these are just obviously thoseare what we're gonna use all the time.
But I think familiarizing yourselfwith a lot of the open source tools,
especially if you, you do an in inteif you do, are an intelligence analyst,

(55:45):
and I'm sure a lot of people knowthat already, that are intelligence
analysts, but, but there's, yeah.
A lot of good toolkits.
I use multi go for free.
Yeah.
You only get so many, somany credits for free.
And then I get mad when I run out.
Yeah, yeah.
No, it reminds, it reminds me, I just hadon the show for the latest Open Secrets

(56:07):
deep dive episode with Jane Mondale.
We went over some of the start me sitesthat she uses dedicated for open source.
And just all the various way, allthe various links and tools that
are out there for open source.

(56:28):
So there's, there's a lot out thereand some of these start me sites have
really done a good job of organizingall these links so they're easy to find
exactly what you're after and to explore.
Right?
Yeah.
And it's, it's great.
A lot of 'em a lot of 'em are free, someare kind of you might have to like part

(56:52):
of it's free, but some of them are paid.
But yeah, there are a lot of, a lot ofgreat tools out there for open source.
If you're looking for IPaddresses to reverse an IP
address to course photographs.
Also, oh, what else?
Yeah.
Oh, usernames, like emails and usernames.
. You can put in a username onit just, just seems endless of

(57:15):
Yeah.
All these, these different tools.
And
I got, that got me, becauseI do use my username, similar
username for various things.
So,
yeah.
Somebody, yeah, you'll plugit in and it'll pull back
where else is this being used?
And then you get a wholeslew of or have I been hacked
for

(57:36):
emails
and.
Alright, very good.
Well, let's take some calls then.
Shit you hear in the office, So these arewild office stories and with our callers.
So first on the line is Kassie.
Kassie, what's some shitthat you heard in the office?
So I'm sitting there andI'm listening to the radio.
There is an armed robber.

(57:56):
That has just tried to roba bank and he is, he's gone.
They've lost sight of him.
Five minutes, there's silence.
Then out of nowhere, an officerdoesn't say where he is at, just says
Suspect is currently eating chicken,and then the radio goes silent again.
Oh my goodness.
Oh, that's was like, was it cutting inand out or He was just watching him eat.

(58:16):
He's just watched a meat chicken, likehe robbed a bank and then dead stopped
and went and had himself some chicken.
Oh, that's funny.
That's funny.
I must be some, do youremember what chicken it was?
I must be some really damn good chicken.
It was like KFC
or, or
was it churches?
I can't remember.
Churches.
All right.
Well hey but hey well if hewhen he gets out, he should
seek a sponsorship from church.

(58:38):
It's like when you're on the go,always find time for churches.
Well just what you weresaying about earlier with.
Just nonchalantly going about theirbusiness after committing a crime.
Yeah.
That's funny.
Yeah.
So, I mean, I guess, but whenyou're hungry, you're hungry, right?
Yeah.
He needed

(58:58):
to eat.
Yeah.
Yeah.
And so I, I wonder, I didn't,I didn't I was, my follow-up
question to her was like, didthey allow 'em to finish the food?
Did they arrest them?
Did he, did he get to finish the chicken?
Is was what I'm really concerned about.
That, that important aspect to the story.

(59:20):
All right, next on the line is Anisa.
What's some shit you heard in the office?
So I was in criminal investigationsdivision and I hear our homicide detective
shout, I don't wanna be arrested.
And I walk over and I'mlike, what's going on?
And then I soon realized he was on thephone with a scammer and this types
of calls happen a lot in, in Naples.

(59:42):
So he kept his scammer on thephone fo pretending to follow
every direction he was being given.
And then he concluded thecall by faking a heart attack.
And he ended the call like that, makingthe scammer think that he died of stress.
And I thought that was hilarious.
So.
Every once in a while you'll seethose YouTube videos or, or other,

(01:00:06):
maybe even on Facebook where thescammer calls the police department.
Yeah, we have, we've had that too.
Yeah.
And they, they just start asking'em a bunch of questions and then
obviously they, they get get alittle nervous when they realize
they called the police department.
So
Yeah, they, yeah.
It's, it's funny.

(01:00:27):
But yeah, most of the, most of thepeople up here will kind of keep 'em
on the line and like just trying,tono you with different things.
And
it's funny, and in this case, the,the person fake a heart attack,
and so the scammer thinks that theyjust indirectly killed somebody.
Yeah.
Oh, man.
And then what do you do as a scammer?

(01:00:49):
Because you can't I guess youcould, it would been funny
if he actually called back
just to make sure that he was okay.
Yeah.
Oh man.
All right.
Next on the line is Ethan.
Ethan, what's some shityou heard in the office?
It was
something that I didn't necessarily hearhurt, like hear, but I was involved and
it was a debate that I had with a, a,a colleague years back and the debate

(01:01:12):
center sort of around that common sayinglike, I couldn't care less, but some
people pronounce it, I could care less.
And so the debate was all about . Whatis the proper phrasing of that?
Statement.
And we, it got really detailed.
Like we, we had a chart up on thewall and everything, like a graph
this is like your level of caring.
And I vehemently argued thatthe proper pronunciation of the

(01:01:32):
phrase is, I could not care less.
Whereas my colleague said, the properpronunciation is, I could care less.
So for anyone who's listening, like, nexttime you're at a, a party or a social
gathering, you should ask what peoplethink the proper phrasing of it is.
I will always argue that the properphrase is, I could not care less, right?
Because if you're, if you're saying Icould care less on like a, like a, a

(01:01:53):
scale of caring where like maybe you'reat two by saying I could care less, you're
saying, okay, well, I care a little bit.
Like I could go down to one ormaybe zero, but if you're saying I
couldn't care less, that basicallyindicates you're at like a zero.
Zero to 10 is the level of caring.
You're at a zero.
You could not care less, meaningthat you don't care at all.
So that's my position on that statement.

(01:02:14):
Right.
I love, I love the attention todetail and that story, right.
The, the amount of time and effortspent in the office debating
about one particular thing.
Yeah.
And he's right though becauseit's, if you say you couldn't care
less, that means you're a zero.
Yeah.

(01:02:35):
Younger folks there was a timebefore Google where you didn't have
this opportunity to end the debate.
Because there was no Google out there.
There was no internet out there.
So stuff like this in the officewould go on for a long time.
Sure.
And there would, it maybe never endbecause you, you could have got to the

(01:02:57):
0.3, probably 30 seconds into the debateof just Googling it and Google will tell
you which one is the proper weight to.
To talk about it or to, to say it.
But yeah, back in the day whenthere wasn't Google, you hadn't, you
didn't have this bit of information,so it was just basically one
person's idea of it versus another.

(01:03:19):
And that could go on forhours, days, decades.
It's kinda like music lyrics.
Yeah.
Back in the day you couldn'tjust automatically look 'em up.
. And then they came out with those packets.
You could read all the lyrics on theback of the cassette tape insert.
Yep.
Yep.
All right.
Next on the line is David.
David, what's some shityou heard in the office?

(01:03:41):
Jason, I got a story for you.
It happened a few years ago andit's still fresh in my mind.
I was working in Buffalo, New Yorkat the Erie Lizabeth Center, and we
had this hot incident that occurred.
We were looking for a murder suspect,and it came in from a suburban
jurisdiction from Tua Police Department.

(01:04:01):
So my buddy Don Zu gala, who worked atthe police department there in cheek
Dawaa and at the crime analysis centeris was, was working with us on this.
And he is like, Hey, wegotta, we gotta find.
This murder suspect.
And we got a phone number and sothis was all new at the time, but
we were able to link in and get workwith Verizon, I believe, at the time.

(01:04:23):
And so we startedpinging the phone, right.
Brand new stuff to us.
And so we were rightin the analysis center.
Analysts huddled arounddesk, pinging the phone.
We got the director there, we got thepolice commissioner there all the senior
staff of the commissioner there, just allbewildered, like, wow, what is going on?
You know?
And we start tracking this phoneand it's moving and it's moving at a

(01:04:47):
speed where it's like, oh, it's in a,it's in a vehicle and we're tracking
this vehicle and then it stops, it'sat a corner, and then we zoom in,
like, well, that's at a Tim Horton's.
And Tim Horton's is, you know.
Up in Canada and Buffalo, it's,it's like Dunking Donuts, right?
. And so, so just keep that in mind.
It's a donut shop, basically.
Coffee and donuts, right?
Keep that in mind as I progress.

(01:05:07):
So like, well, what, what murder suspectis like stopping at Tim Horton's, right?
. And like what they, they're, they need toget a donut, they need, need some coffee.
It's we're just kinda like perplexed andjust, then it just drives away, right?
It goes to the drive through, drivesaway, it's going down the road and,
and then Don's, Don's like looks likeit's going to the police department and
.Sure enough, it pulls into the cheek wagon police department and then it stops.

(01:05:30):
And so everybody's on the peopleare on the phone calling over
there, Hey track this vehicle.
It's going, it's, it's, it's actuallyturning right into the police department,
but we, it was, they had units on pursuitand then they come back and everyone's
converging at their own police department.
Right.
And then they come in and they findit, and it's a patrol officer in a

(01:05:53):
patrol unit, and they're like, oh,well and then they look and there's
nobody in, there's nobody there.
It's just the, the officer like,well, how is this even possible?
Right?
. And so they're questioningand we're hearing it.
They have him on speaker, you know?
. So it's like all being piped in, right?
Like what's going on?
And what, he's like, well, where were you?
He's like, well, I, I went toTim Horton's and I'm kind taking

(01:06:15):
a break and kind of coming on.
Like, he is clueless, right?
Like, well, what aboutthis person or this person?
And he's like, no, I, I, I reallyhaven't done a whole lot today.
Right?
Honestly.
. And and everyone's just like scratchingtheir heads, like, how is this possible?
And then, then somebody of coursesays, well, search the car.
And so they kind of go through,and then in the back seat

(01:06:36):
it's the plastic backseat.
Right?
. So it's not like you could stuff or hide a cell phone, but this person actually
found a way to like hide their cell phone.
Mm.
So it was like we gathered at thatpoint, like this suspect must have
been in this vehicle and picked up.
And the end of the story essentiallyis that it was a female and she did get

(01:06:58):
picked up and was like driven home becausehe gave a, a fake name that the officer.
I don't think it was that officer, butjust believed and said, oh yeah, I can
help you out with your problem, whateverit was that she, she was having and
dropped her off or whatever address shesaid she needed to get dropped off at.
And then she just ditched thephone knowing that she was wanted.

(01:07:18):
. But just kind of ditched them.
And then so we just basicallytracked a police unit through
town, through a donut shop, andthen going back to the department.
And like I said, everybody from thecommissioner on down was watching this.
But it's just a funny story that youhave all this technology and all these
people watching you, like literallyhovering over your shoulder while
you're doing that work, you know?

(01:07:39):
. And then it turns out to be someincredible story like that, you know?
That is quite a story.
It almost seems like something that wouldplay out on the Brooklyn nine nine show of
Reno 9 1 1 Reno 9 1
1, right.
That I'm sure the officer beingdiverged on and was shocked.

(01:08:05):
It sounded, I imagine it soundedlike in a way that he admitted
like, Hey, I haven't been, I'vebeen pretty lazy today in my shift.
I haven't really done, yes, weknow the highlights is going to Tim
Horton's for me, so I'm not reallysure what to tell you, so, oh man.
But and that's it's makes me wonder howlong that cell phone is had been in there.

(01:08:28):
I don't know.
Yeah, he didn't, he didn't say.
But that is again, just the, the,the excitement and the fact that the
commissioner and everybody else wasinvolved in that whole thing and that
whole story, it was quite an exciting day.
That ended up kind of, I mean,eventually they got their, their
suspect, which is good to know, butit ended up being a a lot for nothing.

(01:08:51):
Yeah.
Got all hyped up.
Yeah.
All right.
Last caller is Amanda.
What's some shit you heard in the office?
Well, we were in the middle of ahomicide investigation and one of
my detectives was trying to transferEastern Standard time to Universal time.
He pops his head into my office and he'shaving a hard time grasping how to do

(01:09:12):
this translation and why we have to do it.
He pops his head into my officeand he says, we really need to
come up with one Universal time.
So I look over at him and I said,welcome to UTC Time Detective.
That's funny.
Yeah.
I don't even know when Ifirst learned of UTCI, I'm.

(01:09:33):
Wondering if it onlywas like 10 years ago.
Yeah, I don't remember.
I don't remember exactly when.
I know they didn't teach it in school.
If not, I wasn't payingattention that day.
But I do not remember whenthat whole concept came about.
I don't either, but it's it, Ithink it's with like all the.
Cell phones and computers and Yeah.

(01:09:54):
'Cause like now when you get all your,like Snapchat downloads or cash app,
it's, it's got the universal time andthen you usually have to convert it.
Some of them, like yourCellebrite downloads and stuff
will convert it automatically.
. But like the Snapchat stuff, you have to go in and convert and then you have
to figure in what time of the year it isfor time change and it's kind of a pain.

(01:10:17):
Yeah.
Hmm.
All right.
Well, that's shit you here in the office.
If you have a wild office storythat you want to share, share email
the show at lea podcasts@gmail.com.
Alright, Angie, let's finishup with personal interest.
What do you like to do whenyou're not being an analyst?
Oh,
I'm kind of a homebody, but so I liketo watch British murder mysteries

(01:10:42):
on Brick Box or PBS Masterpiece.
Oh man.
So what about British TV excites you?
Well, it's, it's the murder mysteries.
. And so I feel like they have better plots.
The mystery's harder for moredifficult or complex to figure out.

(01:11:03):
And I don't know, either that, orit's the they've got on this English
countryside, this little village, and italways looks, I don't know, inviting or.
And like, it'd be a lot of fun.
And but yeah, I mean, I just, I reallyenjoy the mysteries and they have a
lot of what's called cozy mysteries, soyou're not getting a lot of violence.

(01:11:27):
. And usually the murderer, the person that was murdered, deserved it.
And it's, I, you don't feel that ickyfeeling like, oh God, this is horrible.
You know?
Yeah.
So it's usually somebody hatedin the neighborhood and Yeah.
And then it's usually hassome humor to it, you know?
You know.
Now

(01:11:47):
do you, do you have an all time favorite?
Well, any, there's a wholearray of like Agatha Christie's
that are on like Brick Box.
But I did have one and, and it.
It wasn't a cozy mystery, but itwas called Bletchley Circle, and
it follows four women that werecodebreakers and during World War ii.

(01:12:11):
Mm.
And they're got out of the war andthey go back to being housewives.
And, but they still missthat kind of excitement.
Well somebody's murdering women intheir area and they get together
and they use their, their skills todetermine the killer's patterns and
.It just, it hits a little closer to of using criminal analysis to solve a crime.

(01:12:34):
Yeah.
They're, they're looking at thepatterns of trains and distance
and what times he strike soit's, it was, it was really good.
And there's a few seasons of that,but and then this one's not a
Bri British murder mystery guy.
I love family murders in the building.
I've heard good things.
I've never, I've never watched ashow, but I've heard good things.
I love it.
'cause it's got humor in.

(01:12:55):
And murder.
Yeah.
Yeah.
I think And is that on Hulu?
Yes.
Or is that on Amazon?
Amazon,
yeah.
It's Hulu.
Yeah.
And you gotta keep up.
Yeah.
And you mentioned Brit Boxa couple, a couple of times.
I, I just heard the, the term Britbox, I think about six months ago.
For the first time.
I had never heard of it, and thenmy wife was talking about it.

(01:13:15):
Yeah, it's good.
Good subscription to have, if youlike to watch Murder Mysteries.
There you go.
All right.
Very good.
Well, our last segment to theshow is Words of the World.
This is where you can promoteany idea that you wish, Angie,
what are your words to the world?
I think I would say that the biggestthing is no matter what career you're

(01:13:36):
in, you can't become complacent.
I mean, all of us like to don't like tostep out of our comfort zones, but if you
don't, then you're not learning really.
So I think that just try and.
Learn new things and don'tkind of get stuck in a rut.
And just because that's the way it'salways been especially with when I worked

(01:13:59):
at my previous jobs with Jim McKessonand and poet, it was always, if you say
there's a better way to do it, if you,if you can say, Hey, there's gotta be
a better way to do this than there is.
And so I think it's just,
Always learn and alwayslook for improvement.
A way to improve a process.
And I just wanted to thank everyoneat HPD, especially my chief lieutenant

(01:14:23):
and spec ops unit for their support andconfidence in me and for giving me an
opportunity to do a job that I just love.
Very good.
Well, I leave every guest with,you've given me just enough
to talk bad about you later.
What's that?
But I do appreciate youbeing on the show, Angie.
Thank you.

(01:14:44):
Thank you so much.
And you be.
And
thank you for having me.
Thank you for making it tothe end of another episode of
Analyst Talk with Jason Elder.
You can show your support by sharingthis and other episodes found
on our website@www.podcasts.com.
If you have a topic you would likeus to cover or have a suggestion for
our next guest, please send us anemail at Elliot podcasts@gmail.com.

(01:15:07):
Till next time, analysts, keep talking.

All Episodes

Analyst Talk - Angie Stroda - From Corporate World to Crime Analysis

Episode Transcript

Popular Podcasts

24/7 News: The Latest

Dateline NBC

The Clay Travis and Buck Sexton Show

.css-15opob5{left:0;position:absolute;top:0.8rem;} All Episodes

.css-14f5ked{margin:0;word-break:break-word;display:-webkit-box;-webkit-box-orient:vertical;box-orient:vertical;-webkit-line-clamp:2;overflow:hidden;}Analyst Talk - Angie Stroda - From Corporate World to Crime Analysis