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From YouTube: City of Charleston Committee on Public Safety 4/10/23
Description
City of Charleston Committee on Public Safety 4/10/23
A
We're
live
good
afternoon,
everybody.
This
is
the
Public
Safety
Committee
meeting
for
April
the
10th.
It's
a
little
bit
after
2
o'clock.
We
have
a
quorum
present.
The
mayor
and
I
are
here,
live
and
in
person
with
two
committee
members
joining
us
by
Zoom
so
bear.
Would
you
lead
us
in
a
moment
of
silence.
B
A
C
A
D
A
Second,
any
further
discussion,
all
those
in
favor
say
aye
all
right,
any
opposed
you
always
have
it.
Can
we
do
four
and
five
together?
Are
we
gonna
get
the
same
report
on
this
grant?
I'm
fine
with
that?
Okay,
so
you
have
a
motion
to
take
number
four
and
five
together.
Second,
the
second
any
further
discussion,
all
in
favor
of
doing
four
and
five
together
say
all
right.
E
Hello-
everyone,
hello
mayor,
so
we're
requesting
a
hundred
thousand
dollars
for
the
police
or
foreign
we're
requesting
a
hundred
thousand
dollars
for
the
police
reform
and
racial
Justice.
Grant
These
funds
would
be
used
to
help
us
build
on
the
product
of
the
progress
of
the
racial
bias.
Audit
that
we
conducted
in
2019
by
helping
strengthen
our
data
analysis
capacity
and
to
build
a
public-facing
data
dashboard
to
improve
transparency.
E
F
B
A
D
E
Yes,
so
this
grant
is
for
continuation
funding
for
the
victims
of
crime
acts.
There's
they've
called
it
a
different
fund.
This
year
it's
actually
saves
the
supplemental
allocation.
The
state
just
created
a
new,
a
new
pot
of
money,
and
so
we
will
need
this
to
be
amended
on
the
floor.
We
had
to
update
the
salary
for
one
of
the
positions
that
we're
applying
for
so
we're
now
requesting
145
000,
145
000
58.23
specifically,
but
the
20
match
required
of
29
000
11.65.
A
E
A
F
F
C
C
May
we'll
come
back,
we'll
do
a
more
comprehensive
presentation
for
you,
but
just
to
give
you
a
quick
snapshot.
It's
the
plan
revolves
around
a
new
vision
statement
for
the
Department
it's
to
create
a
safer
Charleston
and
very
intentionally.
We
made
the
vision
statement,
not
specific
to
emergency
response
or
Medical
Response,
that
the
fire
department
typically
handles
we're
adopting
an
approach
that
everything
we
do
can
either
positively
or
negatively
impact
the
community.
C
A
All
right,
I'll
entertain
a
motion
to
approve
item
number:
seven,
zero,
second
I'll;
second,
all
those
in
favor
aye
in
the
opposed
hi
Chief
Korea.
Thank
you
all
right.
The
next
item
for
our
discussion
is
the
Charleston
Police
Department's
racial
bias,
audit
and
data
update,
and
thank
you,
Chief
Korea.
Thank.
B
G
Thank
you,
chairman
mayor
and
other
council
members.
I'm,
just
gonna
briefly
introduce
the
people
that
will
be
talking
today
and
get
started
on
this
discussion,
we're
going
to
focus
on
facts
and
put
a
frame
around
what
racial
disparities
mean
and
what
they
don't
mean
and
why
it's
so
important
that
we
have
this
conversation.
G
These
are
questions
that
have
been
brought
forth
throughout
our
racial
bias
on
it
and
really
before
that
and
I,
don't
think
this
discussion
will
ever
go
away.
It's
a
very
important
discussion
and
Public
Safety,
and
especially
in
policing,
we
have
a
director
of
procedural
Justice,
Dr
Jill,
Edson
who's,
going
to
be
our
main
presenter
today,
Commander
Jason
Bruder,
who
commands
our
Patrol
division:
deputy
chief
Cheeto
Walker
who's,
the
chief
of
our
community,
oriented
policing
division
and
has
a
lot
of
influence
over
these
efforts
and
I'll.
Just
stop
there.
G
E
H
Yes,
I
have
a
slide
that
speaks
to
that.
That's
okay!
So
thank
you.
So
much
Mr
chair
for
having
us
today
to
have
this
important
discussion
with
you
and
the
community
on
this
really
vital
Topic
in
our
community.
So
I'm
going
to
ask
that
everyone
please
hold
their
questions
until
the
end,
so
we
can
get
through
the
entirety
of
the
slideshow
and
then
we
can
entertain
some
discussion
so
I'm
going
to
start
with
a
presentation
outline.
Basically,
we
will
give
some
context
to
this
work
by
briefly
discussing
the
racial
bias.
H
Audit,
then
we'll
have
a
discussion
about
how
we
measure
disparity
by
discussing
benchmarking
as
one
of
the
methods
that
we
look
at
disparity
through
a
scientific
lens,
then
we
will
jump
into
produce
presenting
some
data
from
the
Charleston
Police
Department.
We
will
follow
that
with
a
discussion
of
a
promising
approach
that
we
saw
in
our
Traffic
Division
that
we
hope
to
build
upon
we'll
talk
about
next
steps
that
we
intend
to
follow
and
then
we'll
conclude
with
questions.
H
So
this
work
is
grounded
in
the
CPD
racial
bias
audit.
So
this
was
voluntary
commission
voluntarily,
commissioned
and
approved
by
city
council
and
completed
by
CNA
in
2019.
The
audit
focused
on
five
areas
of
import,
including
traffic,
stops
use
of
force,
complaints,
Community
relationships
and
Personnel
issues,
and,
in
conclusion,
the
Auditors
recommended
72
recommendations
to
the
department
in
in
various
states
of
completion.
H
So
before
we
get
into
the
data,
it's
really
important
that
we
provide
some
context
on
the
concept
of
benchmarking
and
benchmarking
is
really
a
way
for
you
to
make
meaningful
comparisons
between
groups.
It's
performed
in
many
fields.
It's
a
relatively
simple,
descriptive
calculation
that
doesn't
require
sophisticated
methods
so
and
in
policing.
It's
often
used
to
look
at
differences
in
outcomes
between
similarly
situated
individuals,
and
so
outcomes
for
one
group
are
often
compared
to
another,
and
this
helps
people
looking
at
the
data
determine
whether
there
is
disparity
and
I'll
hand
it
over
to
Captain
Jason
bruter.
I
All
right
thanks,
Joe
yeah,
so
disparity
really
just
means
that,
as
we
move
through
different
parts
of
interactions
as
police
that
things,
the
numbers
may
not
add
up
consistently.
So
there
may
be
differences
for
that
and
we're
going
to
talk
more
about
why
those
may
happen,
but
really
when
you're,
just
looking
at
the
data,
there's
not
a
lot
of
context.
So
when
we
realize
things
are
not
adding
up
and
that
may
be
the
crime
rates
higher
in
one
area
than
another.
I
There's
all
these
different
areas
where
we
can
talk
about
the
data,
it
really
just
points
us
to
an
to
a
specific
area
to
ask
more
questions.
So
the
disparities
when
things
don't
line
up
really
just
tell
us
that
that
Benchmark
or
that
tape
measures
a
little
bit
off
and
we
need
to
see
what's
causing
it.
I
That
can
be
things
that
are
happening
really
well
or
things
that
are
not
happening
like
the
way
we
would
want
them
to
so
we'll
get
diving
deeper
into
that
a
little
bit
along
the
way,
but
just
that
disparity
is
just
a
term
we're
going
to
use
throughout
this
to
talk
about
differences
in
comparing
one
another.
So.
H
All
right,
thank
you,
and
this
is
a
the
common
method
for
assessing
disparity
in
a
lot
of
other
fields,
is
to
use
the
census
population
as
a
benchmark.
An
example
of
that
would
be
a
population-based
calculation,
for
example,
examining
the
private
the
prevalence
of
covid-19
across
different
communities.
You
know,
would
people
of
certain
groups
be
more
likely
to
contract
covid-19
and
we
did
see
there
were
differences
when
we
were
facing
the
pandemic
and,
as
we
come
out
on
the
other
side
of
the
pandemic.
H
However,
this
type
of
method
using
the
U.S
census
population
as
a
benchmark
in
policing
studies
is
problematic,
but
definitely
don't
just
take
my
word
for
it.
There
are
many
studies
and
I
have
a
few
up
here
on
the
slide.
I've
stopped
at
nine
of
them
for
the
purposes
of
being
people
being
able
to
see
them,
but
a
lot
of
Studies
have
wrestled
with
how
to
best
Benchmark
when
we're
talking
about
policing
activities
and
often
in
research.
This
is
the
referred
to
as
the
denominator
problem.
H
So
basically,
what
are
we
dividing
the
outcome
of
Interest
by
what's
the
proper
reference
category
for
people
who
would
likely
be
affected
by
a
policing
outcome
and
it's
really
difficult
to
arrive
at
a
valid
and
reliable
Benchmark
in
this
Arena?
And
so
these
Studies
have
looked
at
different
areas
of
policing,
including
traffic,
stops
use
of
force,
police
shootings
searches
and
stop
in
first
and
one
in
particular
that
I
think
really
sums
up.
H
The
issue
very
well
was
performed
by
two
very
reputable
researchers,
Greg
Ridgeway
and
John
McDonald,
and
they
basically
said
and
I'll
read
this
because
I
think
it's
very
important.
Developing
an
appropriate
Benchmark
is
more
complicated
than
is
presumed
in
media
reports.
All
of
the
methods
we
review
for
assessing
racially
biased
policing
have
weaknesses,
but
some
approaches
are
clearly
stronger
than
others.
There's
no
unifying
method
that
can
be
applied
to
administrative
data
sources
and
definitively
answer
the
question
of
whether
the
police
are
acting
with
racial
bias.
H
But
one
thing
we
do
know
is
that
census
estimates
are
inappropriate
benchmarks
and
this
has
been
debunked
since
about
the
1990s.
So
what
are
we
to
do
in
this
field?
And
what
we
find
is
that
academics
often
have
to
pick
one
and
they
have
to
justify
their
responses
to
say
this
is
the
best
way.
I
can
you
know,
try
to
get
at
the
population,
that's
at
risk
for
involvement,
and
so
why
is
benchmarking
policing
disparities
so
difficult?
Well,
one
thing
is
that
police
interactions
are
not
random.
H
These
two
quotes
because
CNA
when
they
perform
the
audit,
we're
aware
of
this
issue,
they
were
able
to
find
evidence
of
disparity
and
we
find
evidence
of
disparity
today,
but
we're
not
able
to
identify
the
underlying
pauses
of
the
bias.
And
frankly,
there
are
no
current
techniques
used
in
law
enforcement
analysis.
They
can
establish
whether
those
disparities
are
due
to
racial
bias
or
other
underlying
causes.
So
and
some
of
the
disparities
that
we're
going
to
see
you
know
people
would
not
really
question.
H
For
example,
I'll
get
into
a
discussion
of
the
use
of
force
outcomes,
and
we
find
that
overwhelmingly
use
of
force.
Males
are
are
the
subjects
that
are
involved
in
use
of
Ford's
incidents,
so
that
disparity
might
be
less
controversial,
might
be
more
easily
understood
when
you
look
at
it
now
that
doesn't
mean
that
we
don't
need
to
look
at
this
area.
Frankly,
I'm
saying
quite
the
opposite.
H
B
H
That's
a
that's
an
excellent
question,
so
I'll
use
an
example
that
we're
not
looking
at
specifically
today,
but
because
people
in
a
lot
of
Studies
have
shown
this
there's
differential
involvement
in
crime
based
on
different.
You
know,
group
associations,
I,
wouldn't
use
population
to
Benchmark.
Arrests
I'd
be
interested
in
looking
at
the
descriptions
of
suspects,
because
those
are
the
people
that
the
police
are
basically
looking
for
when
they're
you
know
in
an
area
patrolling,
and
so
there
is
some
literature
that
would
support
us.
H
Instead
of
using
the
population,
a
benchmark
that
basically
kind
of
hones
in
more
on
the
at-risk
population
and
yeah,
it's
it
basically
what
you're
looking
for
when
you're
benchmarking
is.
If
there's
no
association
between
group
membership
and
the
outcome,
the
then
the
the
outcome
is
going
to
be
evenly
distributed,
and
so,
when
you
see
there's
a
difference
between
the
outcome
and
The
Benchmark,
then
there
might
be
some
relationship
between
that
group
status
and
the
outcome.
H
So
when
you
Benchmark,
if
you
find
that
The
Benchmark
and
the
outcome
are
the
same,
then
you
conclude,
the
group
membership
doesn't
affect
it.
But
in
this
case
we
do
find
that
there
is
a
relationship
become
between
the
group
identity
and
the
outcome,
and
you
find
that
in
many
areas
of
Criminal
Justice.
Thank
you,
okay,
you're!
Welcome!
It's
a
great
question.
Thank
you.
So
now,
at
this
point,
let's
dive
into
the
data.
H
So,
to
frame
the
discussion,
we
just
want
to
show
the
community
that
these
are
11
years
of
data,
showing
the
differences
in
arrest
Trends
over
time.
So
the
blue
line
is
basically
custodial
arrests
and
the
Orange
Line
shows
the
site
and
release
events,
so
the
biggest
tip
understandably
was
during
the
covid
pandemic,
but
also
Charleston's
really
been
trying
to
reduce
the
number
of
people
in
its
jail
population
through
the
MacArthur
safety
and
Justice
Challenge,
and
so
starting
in
around
2015.
That
would
have
had
an
impact.
H
While
focusing
on
the
more
serious
events
that
they
would
be
called
to
respond
to,
and
so
now
I'm
going
to
discuss,
some
of
the
CPD
decision,
points
of
focus
we're
going
to
start
with
traffic
stops
and
we're
going
to
justify
our
Benchmark
choice
for
this
activity
and
I'll
turn
that
over
to
Captain
Bruder,
because
he
was
instrumental
in
the
decision
making
process
and
picked
one
a
good
one.
That's
supported
by
research
on
on
how
we
do
things
the
way
we
do
things.
I
Right
so
regarding
traffic
stops
and
reducing
collisions,
one
that's
kind
of
nationally
accepted
and
that
and
has
been
studied
in
the
citations
there
at
the
bottom
is
usually
not
at
fault
Collision
data.
So
what
it
is
is
two
vehicles
are
in
in
a
collision,
one
of
them,
presumably
the
not
at
fault
driver,
was
just
by
happenstance
or
by
Randomness.
Was
there
so
taking
that
demographic
data?
It
really
gives
us
a
good
snapshot
of
who's
driving
on
our
roadways.
I
Because,
again,
if
we
were
just
to
use
the
population
data,
that's
the
only
the
people
that
that
live
here
or
live
in
that
neighborhood
and,
quite
frankly,
at
rush
hour.
They
might
not
be
driving
on
their
own
streets,
they
might
already
be
at
work
or
they
may
not
work,
but
the
people
that
are
driving
on
our
roads
could
be
tourists.
They
could
be
people
commuting
into
town
or
out.
I
You
know,
from
out
of
town
to
work
in
Charleston,
so
to
get
a
good
capture
of
that
is
where
we've
we've
adopted,
the
National
Standard
of
not
at
fault
driver,
that's
the
common
phrase
we
use
there.
So
when
we
utilize
that
to
look
at
who
are
driving
on
our
roadways,
it
gives
us
a
better
Benchmark
for
our
driving
population
in
the
city.
So.
H
Yep,
thank
you.
So,
with
that
in
mind,
we'll
take
a
look
at
the
data,
so
this
this
these
data
come
from
two
years
of
enforcement,
so
these
are
from
beginning
in
January
1st
of
2021
through
December
31st
of
2022..
We
don't
have
the
2023
data
yet,
of
course,
and
these
actually
were
created
using
our
Field
contact
card
data,
which
is
an
improvement.
H
So
what
I
have
is
the
race
Benchmark?
That
is
this
Captain
Broder
mentioned.
That
is
the
proportion
that
we're
estimating
of
these
individuals
in
the
driving
population
based
on
the
not
at
fault
traffic
crash
data,
and
so
we
see
with
the
risk
ratio
is
indication.
Indicators
in
the
risk
ratio.
Column
that
are
over
one
indicates
over
representation.
H
So
we
would
basically
say
that
their
that
population,
or
that
group
is
overrepresented
in
the
number
of
stops
based
on
their
proportion
of
the
driving
population
numbers
less
than
one
indicate
that
there's
an
underrepresentation
and
numbers
that
are
close
to
one
means
that
they're
about,
even
with
the
num,
with
the
proportions
of
drivers
on
the
road.
And
so
what
we
can
see
here
is
that
during
this
time
period,
black
individuals
were
1.5
times
more
likely
to
be
stopped
than
we
would
expect,
based
on
their
proportion
of
the
driving
population,
and
we
have
the
same
figure.
H
That's
been
created
for
all
race
groups
and
we
find
that
other
race
groups
are
actually
underrepresented
based
on
their
proportion
of
the
driving
population
and
the
odds
ratio,
which
is
the
farthest
column.
To
the
right
hand,
side
indicates
what
the
comparison
for
that
risk
ratio
is
to
the
reference
category
of
white
individuals.
H
So
you
can
see
that
you
know
Whites
compared
to
themselves,
there's
an
even
odds
ratio
of
one
and
what
we
find
when
we
look
at
that
is
that
black
individuals
in
these
data
were
almost
two
times
more
likely
to
experience
a
stop
than
white
in
members
of
this
population.
Hispanic
there's
also
an
over-representation.
They
were
1.24
times
more
likely
to
experience
a
stop
based
on
their
proportion
of
the
driving
population
than
white
individuals
and
those
that
were
referenced,
as
other
races
were
less
likely
based
on
their
driving
population
than
than
white
individuals.
I
Before
we
move
from
this,
I
just
want
to
take
a
minute
and
recognize.
This
is
two
years
worth
of
data
that,
quite
frankly,
officers
have
had
to
duplicate
their
work.
We
realize
the
need
for
this
they've
had
to
duplicate
every
time.
They
make
a
stop.
They
require
by
law,
to
do
a
warning
or
a
citation
or
make
an
arrest,
but
they've
been
doing
these
Field
contact
cards
just
so.
We
could
have
this
conversation
before
the
audit
we
weren't
able
to
do
this.
I
That
was
some
of
the
things
that
were
recognized
in
the
audit
that
the
all
the
information
the
data
was
collected
in
different
silos.
They
didn't
talk
to
one
another
and
we
weren't
able
to
really
do
this
type
of
analysis.
Now
that
we
have
and
we're
going
to
talk
about
this
at
the
end,
some
of
the
other
steps
that
we've
seen
after
seeing
this
we've
created
a
different
policy.
We've
made
some
revisions
and
again
we'll
touch
on
that
at
the
end.
I
But
if
you
remember,
the
Benchmark
that
we
set
here
was
to
reduce
collisions
well,
all
of
our
stops
of
Motor
Vehicles
aren't
specifically
to
reduce
collisions.
So
just
keep
that
in
mind
and
again
we'll
Circle
back
to
that
at
the
end.
But
we
have
many
other
reasons
that
we
conduct
motor
vehicle
stops
and
and
traffic
stops
along
the
way.
I
B
H
B
I
That's
some
of
the
analysis
we
weren't
able
to
do.
We
could.
We
could
certainly
take
six
different
sets
and
make
some
presumptions
that
one
of
them
is
more
correct
than
the
other,
but
they
didn't
talk
to
one
another
in
the
way
that
we
can
do
this
today.
So
there
wasn't
necessarily
the
one
ticket
may
have
a
warning
going
with
it
as
well.
I
So
you
would
double
count
it
and
that's
really
what
some
of
the
issues
that
CNA
mentioned
when
they
were
doing
their
audit
is
that
they
weren't
able
to
distinguish
that
so
really
to
go
back
before
2021
we're
making
a
lot
of
assumptions,
and
especially
when
you
start
breaking
out
by
race.
That
is
really
starting
to
get
questionable
right
and
that's
why
we
haven't
gone
any
further
back
and
we
had
to
do
everything
that
we
did
to
get
to
this
stage
was
pretty
Monumental
for
us
and,
quite
frankly,
the
officers
are
sharing
most
of
that
workload.
I
I
A
A
H
H
Yes,
sir,
definitely
and
then
at
the
bottom,
you
can
see
the
for
the
methodology
of
the
calculation
so
we're
taking
the
group
percent,
which
is
the
for
the
risk
ratio,
we're
taking
the
group
percent,
which
in
this
case,
is
the
percent
of
stops
and
we're
dividing
that
by
the
group
percent
Benchmark,
which
is
the
race
Benchmark.
That's
the
risk
ratio
and
the
odds
ratio,
we're
taking
that
group
risk
ratio
and
comparing
it
to
the
white
race
risk
ratio
or
dividing
by
the
way.
One.
A
Of
one
of
the
I'm
gonna
call
it
a
benchmark,
but
one
of
the
when
we
were
going
through
the
audit
and
looking
at
companies
to
do
this
audit.
One
of
the
benchmarks,
I
guess
are
categories
that
they
were
suggesting
is
nighttime
stops
versus
daytime
Stars.
So
this
that
would
be
a
benchmark
that
you
could
use
as
well
that
that's
correct.
I
Yeah
I
think
you're
talking
about
bale
of
Darkness,
where
you
look
at
you
know,
because
of
the
time
change
you
look
at
different
things
like
that.
It
is
another
one.
It
was
one
of
the
ones
that
was
up
there
on
the
slide
that
can
be
used,
but
but
the
way
our
ships
have
been
organized
over
a
period
of
time.
I
You
really
comparing
apples
to
oranges,
because
our
shifts
are
off
the
same
officers
aren't
working
during
those
times
all
the
time,
so
it
just
makes
a
little
more
complicated
for
us
and
CNA
also
used
the
not
at
all
Collision
data
when
they
compared
their
various
versions
of
our
stops
and
the
audit
as
well.
So.
A
What
you're
trying
to
do
is
develop
a
race
neutral
metric
to
to
do
a
a
evaluation
or
comparison
to
well
in
the
in
the
non
in
the
non
I
thought
stops
is,
is
a
number
that
you
don't
create
I
mean
it
just
happens.
So
it's
this
is
the
the
non
at
fault.
Stops
is
a
neutral
number.
It's
racial,
racially
neutral,
correct.
H
H
So
again,
this
is
two
years
of
search
data
following
traffic
stops
in
2021
and
2022..
What
you
will
see
is
that
you
know
now
that
23
000
number
has
decreased
to
over
three
thousand,
so
the
majority
of
stops
do
not
result
in
searches,
and
then
you
can
see
that
the
percent
of
searches
divided
by
the
racial
group
and
the
majority
are
performed.
Searches
are
performed
on
black
individuals
following
a
traffic
stop
and
The
Benchmark.
For
this
case,
we've
taken
that
over
from
the
proportions
of
people
who
were
stopped,
that
is
our
Benchmark.
H
So
we've
moved
those
data
over
to
the
middle
category
and
the
risk
ratio
here
again
shows
an
over-representation
of
black
individuals
being
a
search
following
a
traffic
stop
relative
to
their
the
the
proportion
of
them
that
were
stopped.
That
experience
the
traffic
stop
and
we
again
see
an
underrepresentation
and
all
other
racial
categories.
The
odds
ratio
here
basically
shows
that
for
searches
performed
following
traffic
stops.
H
3.7,
the
black
individuals
are
3.78
times
more
likely
to
experience
the
search
following
a
traffic
stop
than
white
individuals
based
on
their
proportion
of
people
who
were
stopped
in
in
general,
and
we
we
and
we
do
have
another
over
representation
for
Hispanic
individuals
and
an
underrepresentation
for
other
individuals.
One
thing,
though,
that's
important
to
note.
We
did
look
a
little
bit
at
the
data
underneath
this
aggregate
calculation
and
for
all
groups.
H
The
most
common
type
of
search
shown
here
is
for
probable
cause
and
then
for
three
of
the
four
groups,
the
the
second
most
common
was
searches
incident
to
arrest,
and
so
this
is
really
important
for
us
to
dig
deeper.
We
better.
We
need
to
better
understand
why
there
is
this
disparity
at
this
level
and
so
being
able
to
look
at
the
context
surrounding
each
of
these
searches.
H
Sir,
that
should
be
represented
in
the
data
as
well.
Now
the
reason
for
the
stop,
you
know
there
I
believe
there
is
some
categorization,
but
the
nuances
of
the
situation
are
reflected
in
narrative
notes,
and
so
we
will
have
to
basically
read
those-
and
you
know
that
requires
some
qualitative
analysis
to
go
into
narrative
and
kind
of
code.
The
reasons
in
a
way
that
we
can
manipulate
them
scientifically.
H
That's
a
great
question,
so
we're
not
looking
at
unique
identities
here.
So
if
you
were
stopped
in
January
and
searched
in
January
and
then
stopped
again
in
March
and
searched
in
March,
you
would
be
reflected
twice.
So
the
unit
of
analysis
isn't
necessary
and
that's
how
we
refer
to
it
is:
what
are
we
counting?
The
unit
of
analysis
in
this
case
is
the
actual
incident
and
then
we're
attaching
the
race
of
the
driver
to
the
incident.
A
H
Thank
you,
and
so
now
we'll
move
on
into
the
force
so
use
of
force.
These
data
are
quite
complicated.
They
there
are
a
lot
of
different
ways.
You
can
slice
and
dice
them.
However,
before
we
jump
into
looking
at
some
of
the
data,
it
is
really
important
to
put
the
frequency
of
use
of
force
in
context.
H
H
Of
all
interactions-
and
so
that's
a
very
small
number,
and
so
this
is
a
very
rare
event
and
when
you
look
at
the
data
based
on
the
reports
that
the
CPD
puts
out,
the
vast
majority
of
physical
uses
of
force
were
for
empty
hand,
controller
restraining,
and
then
the
CPD
also
has
a
very
rigorous
and
intense
requirement.
That
officers
report
uses
a
lot
of
different
uses
of
Wars
than
other
departments.
H
Wouldn't
officers
are
required
to
report
when
they
unholster
their
firearm
and
not
necessarily
use
it,
but
when
they
end
holster
it
and
they
point
it
at
someone,
and
so
these
data
include
those
instances.
And
so
when
we're
able
to
dig
down
further,
we
will
be
able
to
kind
of
disaggregate
and
separate
out
the
types
of
force
that
we're
talking
about
here,
because
I
think
that
the
cpd's
data,
when
compared
to
other
departments,
is
more
comprehensive
than
you
would
get
from
a
lot
of
other
places
and
then
per
the
CPD.
H
The
CNA
audit
recommendation,
the
use
of
forced
incident
data
are
also
a
lot
more
comprehensive.
Instead
of
having
one
report
filed
by
the
principal
officer
in
an
incident
use
of
force
of
the
use
of
force
now,
the
requirements
are
that
each
officer
write
his
or
her
own
report
and
document
the
ways
they
used
force
on
each
individual.
So
we
have
a
much
richer
data
set
that
we
can
start
looking
at
in
the
future.
H
So
the
2022
you
supports
data
are
not
yet
available.
They
will
be
forthcoming
when
the
end
of
year
report
is
released,
which
will
hopefully
be
in
this
second
quarter
of
the
year.
What
we
have
here
is
the
demographic
information
from
2020
and
2021.,
and
what
you
can
see
is
that
we
have
demographics
so
of
those
individuals
that
experience
use
of
force
in
both
years,
the
the
largest
category
were
citizens
that
were
between
the
ages
of
18
and
29.
H
The
largest
category
by
race
was
black
individuals,
and
we've
referred
to
this
earlier.
The
majority
of
individuals
experiencing
force
in
those
two
years
were
males
compared
to
females,
and
one
thing
that
we
that
is
worth
mentioning
is
that
there
are
specific
challenges
and
for
accurate
benchmarking.
With
these
data,
we
intended
to
actually
Benchmark
using
arrests
as
the
appropriate
reference
category
for
this
information.
H
But
that's
something
that
we
will
definitely
be
interested
in
doing
when
we
disaggregate
the
data
and
we
hope
to
be
able
to
report
more
on
the
2022
data.
The
next
time
that
we
update
this
committee
on
our
efforts
so
now
I'm
going
to
shift
into
discussing
a
promising
strategy
or
actually
I'm
going
to
pass
it
over
to
Captain
Bruder
who's,
going
to
talk
about
a
promising
strategy
that
that
he
was
involved
with.
That
showed
positive
outcomes.
In
terms
of
referencing
disparities
and
also
has
positive
outcomes
on
public
safety,.
G
I'm
just
gonna
say
one
thing
on
the
last
side:
real
quick.
If
you
look
at
and
one
of
the
things
that
the
Jill
has
said
consistently,
is
that
that
it
doesn't
necess
disparate
numbers,
don't
necessarily
equal
bias,
don't
necessarily
equal
racism.
And
if
you
look
at
gender
in
this
slide,
if
we've
arrested,
76
or
stopped
or
whatever
the
number
is.
G
The
fact
that
we
have
disparate
numbers
and
we're
stopping
more
males
does
not
necessarily
mean
that
we're
doing
anything
wrong
who's
actually
committing
the
crimes
that
goes
back
to
what
the
denominator
is
and
how
challenging
it
is
to
create
the
right
denominator.
If
that's,
what
we're
getting
for
calls
for
service
for
Witnesses
from
victims
from
certain
locations.
G
But
these
are
the
people
that
are
committing
the
crimes,
and
these
are
the
people
that
are
the
Vic
items,
and
these
are
the
people
at
these
specific
locations
where
we're
focusing
on
our
priorities,
especially
a
violent
crime,
and
we
have
to
look
at
that
much
more
closely,
which
is
what
this
presentation
does
say.
Okay
population
is
not
really
telling
us
much
here.
What
are
the
other
data
factors
that
are
going
to
be
more
informative,
more
evidence-based,
more
likely
to
get
us
better
outcomes.
H
Thank
you,
yeah.
Thank
you.
Chief
and
I
will
just
as
a
side
note
of
reference.
The
fact
that
since
2019,
the
CPD
is
voluntarily
reported
these
use
of
force
data
to
the
FBI
they're,
actually
making
a
coordinated
effort
to
try
to
create
a
good
representative
National
sample.
So
we'll
have
a
better
idea
about
how
often
force
is
used
around
the
country
and
departments,
and
you
know
that's
still
a
data
Gathering
exercise,
but
this
Department's
been
contributing
to
that
for
a
while.
Now,
yes,
Mr
Mayor.
B
So,
as
you
dig
a
little
deeper
into
the
statistics
on
this
by
the
way,
I
think
it's
pretty
amazing
that
you
had
263
476
citizen
Encounters
in
a
year.
That's
that's
a
pretty
big
number
that
can
involve
all
kinds
of
things
correct
in
addition
to
the
traffic
stops.
And
yes,
yes,
summarize
that
for
me,
real,
quick
and
then
I
got
a
point
to
make.
H
G
G
All
the
things
that
are
spilling
over
into
the
police
realm,
which
really
probably
belong
in
other
Realms,
but
police
officers
are
having
to
deal
with
every
every
day.
Homelessness
issues,
the
violent
crime,
the
shootings,
all
those
things
and
of
all
those
calls
that
we
go
to
that's
the
number
and
it's
really
actually
much
smaller.
B
So
of
the
404
instances
of
use
of
force,
it
would
interest
me
I
presume
that
that
most
of
them
are
are
in
the
rest.
Category
I'm,
just
an
assumption
on
my
part,
I
see
from
your
earlier
chart
that
last
couple
of
years
we're
hovering
right
around
4
000
arrests
per
year,
but
when,
when
you
get
around
to
it,
I
think
it'd
be
interested
to
I'd,
be
interested
to
see
how
many
of
those
404
were
actually
out
of
that
subset
of
4,
000
or
so
arrests.
H
Yeah
and
that's
a
great
Point
Mr
Mayor,
and
that
was
our
intention
originally,
when
we,
when
we
were
talking
about
benchmarking,
but
then
we
found
that
more
of
them
were
not
linked
with
the
rest
and-
and
that
was
surprising
to
us.
So
we
didn't
want
to
rush
to
do
that.
We
wanted
to
make
sure
that
we
could
in
fact
separate
those
that
were
linked
with
an
arrest
with
those
that
weren't.
H
G
Mayor
a
couple
of
examples
of
why
that
may
be
is-
and
it
shows
you
just
how
broadly
we're
reporting.
So
an
officer
goes
to
a
a
burglary
alarm
or
a
cause
of
service
and
there's
somebody
running
away
and
for
whatever
reason,
based
on
the
lookout
based
on
the
information
they've
received,
they
pull
their
weapon
out.
Well,
they
didn't
lead
to
an
arrest,
but
we
still
reported
that
as
a
use
of
force
and
there's
a
variety
of
things.
G
If
we
maybe
just
put
our
hands
on
somebody
and
said
hey,
you
know
you
had
a
little
bit
to
too
much
to
drink
tonight.
We
need
you
to
leave
The
Establishment
and
we
kind
of
walk
them
out.
Although
that
didn't
lead
to
an
arrest
that
might
be
a
use
of
force.
We
report
way
more
so
of
those
404
I'm,
not
surprised
to
hear
that
they
don't
all
involve
a
rest,
because
many
of
them
are
things
again.
G
Most
agencies
would
never
report
and
it's
much
beyond
what
we
would
consider
like
a
significant
encounter
where
there's
a
physical
interaction.
Many
of
the
these
that
we
report
that
are
not
very
significant
in
terms
of
physical
interaction
and
using
a
use
of
force,
Implement
like
a
baton
or
a
taser,
or
something
like
that.
Foreign.
H
I
I
That
was
a
pretty
high
number.
It
was
the
highest
we'd
had
in
the
last
nine
or
ten
years,
but
the
the
number
of
those
that
were
involving
impairment
were
significant
and,
and
he
just
felt
like
we
could
do
something
better.
So
this
is
where
problem-oriented
policing
starts
to
come
into
play.
When
you
have
a
defined
problem,
we
can
then
more
accurately
Define
the
outcome
that
we
expect.
I
We
can
judge
outputs
along
the
way
and
we
can
see
if
we're
successful
and
when
we're
done
or
along
the
way
we
can
track
or
what
I
like
to
refer
to
as
side
effects
or
things
that
may
unintended
outcomes.
That
may
happen
along
the
way,
and
sometimes
those
unintended
outcomes
could
be
disparity
but
as
they
went
through
this
I'll
go
ahead
and
ruin
the
end
of
the
the
project.
Well,
they
had
12
total
alcohol-related,
fatal
or
fatalities
in
2022..
I
I
They
focused
a
lot
on
DUIs
being
in
the
right
place
at
the
right
time
using
the
data
and
they
had
12
total
fatalities,
and
only
two
of
them
were
alcohol
related
and
they
happened
to
be
around
9
A.M
and
11
A.M,
so
that
was
not
in
their
targeted
time
frame,
so
they
went
from
having
about
15
the
year
before
overnight
hours
to
zero,
just
by
being
targeted
with
their
efforts
and
being
efficient
with
their
time
and
their
resources.
These
are
some
of
the
outcomes
we
saw
in
2022.
I
You
see
the
highest
year
in
the
last
four
years
of
having
DUI
arrests.
The
impairment
for
the
collisions
there
is
is
what's
reflected
there,
those
two,
so
it's
just
overall
a
great
success.
Well,
this
was
specifically
for
the
Traffic
Unit,
it's
about
eight
to
ten
officers.
They
were
very
focused.
They
mostly
worked
evening
shift
to
work
on
this.
To
have
this
problem,
oriented
focused
and
here's
their
outcomes.
I
We
pulled
them
out
in
2021
and
2022,
as
they
too
started,
duplicating
all
of
their
efforts
to
collect
these
fccs
and
you'll,
see
for
2022
when
they
had
this
project
in
place
right
at
30
of
their
stops
were
black
drivers.
Well,
if
you
will
call
from
our
Benchmark
when
we
were
talking
about
that
about
30
to
31
percent
of
our
drivers
in
the
in
the
city.
Are
black
drivers
in
2022?
I
So
not
only
were
they
able
to
Target
a
problem
because
we're
using
not
at
fault
Collision
data,
we
would
expect
a
collision
data
reflect
who's
on
the
driving
on
the
roads.
Now
we
can
see
that
the
Traffic
Unit
was
very
much
in
line
with
the
accepted
Benchmark
when
they're
targeting
collisions.
So
it's
just
an
example
of
course,
that's
one
problem
where
eight
to
ten
officers
were
able
to
focus
I'd,
say
about
90
percent
of
their
working
time
to
it,
and
we've
got
to
figure
out
how
to
take
that
same
approach.
I
I'll
pass
it
back
to
move
it
forward
to
where
in
Patrol,
we
can
test
all
the
different
problems
we
have
the
270
or
so
officers
that
had
to
do
it
way
more
than
eight
to
ten
across
the
entire
city
and
deal
with
those
problems
and
be
able
to
measure
them
out
in
a
different
way.
And
that's
really
what
we're
going
to
talk
about.
I
One
of
the
next
steps
is
implementing
Geo
29,
with
a
refined
focus
on
what
motor
vehicle
stops,
means
and
becoming
more
problem
oriented
as
we
as
we
move
through
that
which
will
give
us
a
better
outcome,
and
hopefully,
some
better
benchmarks
to
judge
along
the
way.
So
I
don't
know.
If
you
want
me
to
dive
into
that
yet
or
not.
A
I
So
that
was
the
entire
city
that
was
the
entire
police
department
stops.
We
did
right.
The
subset
of
that
was
just
the
Traffic
Unit
so
where
it
says
traffic.
The
second
line
down.
That
was
just
what
the
Traffic
Unit
did
so
they're,
roughly
30
percent
black
drivers,
roughly
60
percent
White
drivers
and
then
10
with
the
Hispanic
and
other,
which
is
very
much
in
line
with
people
go
back,
but
that
fifth
or
sixth
slide,
but
pretty
much
the
numbers
that
we
would
expect
to
have.
If
you're
focusing
on
collisions
and
that's
what
they.
A
I
Are
all
of
their
stops,
but
they
were
all
focused
unit
itself
right
they
were
put
where
our
collisions
are.
They
were
put
where
you
know
in
alcohol.
Related
fatalities
is
obviously
DUI
type
enforcement,
but
they
were
all
focused
out
there
and
predominance
of
those
was
in
the
evening
type
hours.
This.
A
I
I
When
there's
multiple
problems
to
attack,
that's
that's
where
the
the
water
can
get
muddied
it
will
it
was
it
that's
one
of
the
things
we're
working
on
as
we
get
into
Geo
29
as
being
well
problem,
oriented,
focused
and
defining
those
and
looking
what's
happening
around
those
areas.
So
we
can
Define
that
a
little
bit
better,
because.
A
In
other
words,
if,
if
if,
if
we
have
an
issue
with
racially
stopped,
are
racially
bias,
stocks
or
investigations,
the
argument
could
be
made
I'm
not
suggesting
that
it
is.
But
the
argument
could
be
made
that
the
Traffic
Unit
would
be
more
inclined
to
make
those
based
on
a
racial
bias,
as
opposed
to
non-racial
bias.
A
G
The
bias
I
think
in
Jason's
example
that
he's
providing
us
right
now
is
impaired
drivers,
alcohol-related
fatalities
and
being
out
in
this
city
during
the
times
and
the
places
and
the
locations
where
we
know
that
we're
having
those
fatalities,
those
problems
Etc.
So
what
essentially
is
you
know,
and
this
is
limited-
we
have
a
lot
more
work
to
do.
This
is
going
to
take
Years
to
you,
know,
continue
to
sort
through
and
ask
these
very
tough
questions
that
you're
asking.
G
But
if
you
looked
at
the
violent
crime
issue-
and
you
said
okay,
these
are
our
Patrol
officers
and
Jason's
commands
Patrol
and
he's
having
these
conversations
every
day,
and
you
say
all
right:
where
are
the
victims,
where
the
offenders
were
the
locations
for
violent
crime?
Well,
certain
areas
of
our
city
that
that,
if
you
look
at
that
and
you're
focused
on
that,
then
you're
going
to
have
a
disparate
number
by
race.
You
just
will,
by
the
very
nature
of
some
of
those
communities
where
we
disparately
are
having
violence.
G
And
so
your
question
is
a
good
one
and
we
don't
have
a
really
clear
answer.
But
I
would
just
say
it's
more
likely
actually
in
the
criminal
enforcement
or
the
the
areas
where
we're
having
a
focus
on
violence,
where
we
have
disparate
numbers
in
our
communities
and
disparate
numbers,
and
our
stops.
Disparate
numbers
and
searches
and
all
those
types
of
things
from
there.
B
20
or
two
of
them
were
from
impairment
correct.
But
if
you
look
at
2016,
there
were
also
12
deaths,
but
that
year
80
percent
of
them
were
attributable
to
all,
but
to
all.
But
two
or
because
yeah
kind
of
flip
and
you're
telling
me
the
the
primary
difference
was
using
the
data,
the
evidence
of
of
where
those
crashes
occurred
and
the
time
of
day
that
they
occurred
and
focusing
on
those
areas
and
those
times
of
days
and
you
save
10
lives.
Eight
eight
lives
by
by
way
of
impairment.
I
We
would
love
to
jump
to
the
the
the
scientific
causal
factors
that
was
there
there's
many
other
things
that
could
happen
in
society
sure
we
definitely
believe
that
I
mean
this
was
based
off
research
that
we
we
tried
this.
We
went
in
this
direction
to
do
that,
so
we're
going
to
try
to
replicate
it
again
next
year,
we'll
continue
to
use
that
problem
solving
method
to
move
forward,
but.
B
Wouldn't
this
be
achieved
something
kind
of
a
classic
example
of
of
what
they
called
comstat
of
of
using
evidence
of,
just
like
you
mentioned
of
analyzing,
where
the
crimes
are
being
committed
where
the
victims
are
and
putting
your
resources
there
at
the
right
time
in
order
to
to
make
things
safer
and
to
save
lives.
Exactly.
G
G
So
enforcement
is
only
a
small
slice
of
what
we
do.
We
believe
when
we
look
at,
for
example,
the
opioid
epidemic
and
I,
don't
want
to
get
too
far
adrift
from
what
we're
talking
about,
but
it's
related.
What
are
the
other
resources
that
can
come
to
play,
working
with
MUSC
working
with
the
ngos
working
with
the
faith
community
working
with
all
these
other
partners
and
groups
and
enforcement
for
the
opioid
epidemic
is
but
a
small
piece.
It's
a
relevant
piece,
it's
very
important
piece,
but
it's
very
small.
G
So,
depending
on
what
the
problems
are,
we
really
want
to
be
smart.
We
want
to
engage
as
many
partners
as
we
can
as
possible.
We've
had
a
lot
of
people
help
us
with
this.
Like
Jason
said
we
really
can't
be
too
conclusive
just
one
year
in,
but
we
have
shifted
our
priorities
in
traffic
very
substantially
shifted
those
and,
and
not
just
at
night,
for
DUIs,
but
in
other
rare
areas
where
there's
complaints
and
quality
life
issues.
So
it's
really
becoming
you
hear
about
the
idea
of
reimagining
policing.
G
Part
of
that
is
simply
allowing
other
groups
to
come
in
with
other
resources,
to
complement
what
we're
doing
to
realize
that
police
cannot
fix
and
solve
every
single
problem
and
realize
that
there's
so
much
to
this
working
with
drug
court
and
working
with
the
different
entities
on
the
other
end
of
the
Court
piece
of
this,
so
I'll
stop
there,
but
there's
a
lot
more
to
it
than
just
making
a
rest.
Thank
you.
H
Okay,
good
discussion,
so
let
me
move
forward,
so
obviously
this
is
just
the
beginning
of
a
long-term
conversation.
This
is
the
starting
point.
There's
a
lot
more
analysis
that
we
want
to
do.
There's
a
lot
more
information
that
we
want
to
provide
to
you
and
here's,
some
just
a
brief
synopsis
of
some
next
steps
in
this
Arena
and
Captain
grooter
referred
to
our
recent
implementation
of
geo29.
H
Obviously,
whenever
you
do
large-scale
organizational
change,
there's
an
uptake
period
that
you
have
to
allow
the
changes
to
kind
of
take
hold,
and
then
you
start
to
see
the
differences
in
the
outcome
so
we'll
be
examining
you
know,
since
that
went
into
effect.
You
know
maybe
a
little
over
a
month
ago,
we
still
have
some
time
to
see
what
the
impacts
are
and
so
feature.
H
Beyond
that,
as
you
both
currently
know,
we
have
an
active
third-party
research
team.
That's
engaging
in
kind
of
looking
over
our
implementation
of
the
audit
recommendations,
so
they're
doing
their
work
concurrently,
one
of
the
things
that
is
evolved
with
that
project
is
engaging
the
community
in
various
methods
to
get
information
from
them
about
what
they're,
seeing
because
at
the
administrative
data
that
we're
looking
at
today
are
only
part
of
the
story.
We
really
need
to
flesh
out.
H
You
know
the
community's
experiences
with
the
interaction
with
the
police
department
and
also
the
research
team
is
going
to
be
looking
at.
Some
of
our
data
to
try
to
you
know
give
us
suggestions
on
how
best
to
use
them,
and
you
know
things
that
we
might
not
be
thinking
about
in
terms
of
future
analyzes.
We
can
perform
to
further
Target
this
area,
and
my
hope
is
that
you
know
going
forward.
H
We
can
start
creating
reports
on
a
more
routine
basis
that
have
this
information
and
that
break
them
down
into
different
subgroups
and
disaggregate,
and
look
at
different
factors
that
might
be
related
to
the
disparity
and
again
I'll
just
reinforce
you
know
we
we're
not
able
to
basically
know
all
the
reasons
for
the
disparity
and
we
can't
claim
that
it
is
or
it
isn't
bias
at
this
stage.
These
data
just
do
not
allow
us
to
do
that.
H
However,
all
the
more
reason
for
us
to
keep
looking
and
keep
looking
for
patterns
that
we
find
you
know
positive
or
troubling,
and
and
really
do
what
we
can
to
zero
in
on
on
alternate
ways
that
we
can
address
the
problem
and
then
measure
those
outcomes
using
these
reports.
So
we
still
have
a
long
way
to
go,
but
we're
committed
to
the
task
and
then
I'll,
just
you
know
close
and
I'll
kick
it
over
to
the
chief
in
a
second
to
just
re-emphasize
the
three
priorities
of
the
police
department.
H
It's
still
regardless
is
reduced
violent
crime
to
engage
with
the
community
and
with
youth,
particularly
about
our
impacts
on
the
community,
and
you
know,
as
the
chief
mentioned
earlier,
we're
interested
in
leveraging
our
outside
Partnerships
with
other
entities,
because
some
of
these
problems
may
not
be
best
solved
within
the
policing
Arena.
They
may
require
a
lot
of
other
social
institutions
and
Partnerships
and
creative
collaborative
solutions
to
address
these
disparities
and
we're
open
to
that
and
we're
hoping
that
this
is
the
beginning
of
a
long
discussion,
a
collaborative
discussion
about
it.
G
If
you
will,
when
I
say
correctly,
I
put
that
in
parentheses
and
they
essentially
stopped
Prosecuting
a
lot
of
crimes.
They
stopped
charging
a
lot
of
low-level
offenses
and-
and
it
has
had
an
immediate
and
very
substantial-
and
it's
documented
impact
on
increasing
violent
crime.
Increasing
the
number
of
homicides
increasing
the
number
of
aggravated
assaults,
increasing
the
number
of
shootings,
increasing
a
variety
of
other
things,
and
so
there's
actually
some
reports
on
that
that
show.
As
these
policies
were
implemented,
crime
went
up
and
it
got
substantially
worse.
G
I'll
just
say
we
have
not
done
that
here.
I,
don't
think
anybody
would
ever
suggest
that
and
thankfully
we
have
not
gone
in
that
direction.
So
when
you
look
at
disparities,
we
have
to
look
at
those
closely
and
say:
okay
and
I'm
just
restating
what
Jill
and
Jason
have
already
said.
What
does
this
mean?
What
does
this
look
like?
Are
the
police
doing
the
correct
things?
G
Is
it
consistent
with
our
core
values,
our
core
Mission,
or
is
it
going
to
support
those
three
things
that
the
deal
had
up
there
in
the
end
and
building
trust
with
our
communities?
You
know
integrating
what
we
do
with
our
youth
and
others,
and
so
we
have
to
continue
to
ask
those
questions
continue
to
look
at
it
through
an
Evidence
and
a
fact-based
prism,
and
there
are
absolute
disparities:
they're,
substantial
and
a
lot
of
those
disparities.
G
If
we
look
at
it
through
our
community
lens,
there
are
communities
that
disparately
impacted
by
Violence
by
low
performing
schools
by
lack
of
positive
role,
models
and
influences
in
their
lives.
Lack
of
the
Arts
and
I
could
just
go
on
and
on
increased
levels
of
domestic
violence,
lack
of
men
in
their
lives
and
I
could
just
go
on
and
on
and
say:
okay
and
many
of
those
cases,
the
kids
don't
even
have
food
on
a
day-to-day
basis.
G
In
many
of
those
cases,
they've
been
affected
by
trauma
and
I
talk
about
mothers,
who've
lost
their
children's
to
violence.
I
talk
about
kids,
who
have
to
go
to
school
and
walk
through
a
crime
scene
with
50
or
100
shell
casings
and
a
sheet
over
a
body
and
and
then
have
to
go
to
school
and
take
a
test.
F
F
H
B
Chief
Reynolds
and
you
both
address
aspects
of
this
chart
showing
that
on-site
taken
into
custody
arrests,
have
gone
down
over
the
last
few
years
and
I
think
the
example
you
gave
was,
for
example,
simple
possession
of
marijuana
that
you
know
we
we
just
don't
do
that
anymore.
We
don't
you
don't
get
locked
up
for
a
simple
possession
of
marijuana
unless
there's
some
other
charge
involved.
It
could.
I
Right
so
yes,
sir,
a
lot
of
the
work
she
was
talking
about
was
done
through
the
criminal
justice,
coordinating
Council
for
Charleston,
County
and
I'm.
Currently
the
chair
of
that-
and
we
talk
about
this
all
the
time
because
it
was
one
of
those
low-hanging
fruits
like
in
2014,
is
when
they
submitted
the
Grant,
and
we
looked
at
the
data
and
I
actually
wasn't
a
part
of
it.
Then.
I
But
there
were
five
charges:
five
single
charges
that
people
are
going
into
and
out
of
the
jail
pretty
frequently
for-
and
it
was
simple
possession
of
marijuana,
trespassing
shoplifting,
disorderly
conduct
and
open
container,
and
we
realized
that
if
we
could
sign
our
lease
for
those
which
they
don't
require
a
bond
hearing
for
and
it
was
shoplifting
first
offense
and
trespassing
when
they're
you
know
the
victims
not
known
so
like
city
property
or
a
business,
or
something
like
that.
So
we
realized.
I
One
of
the
things
is:
we've
done
this
through
cacc,
as
we've
always
focused
on
the
the
right
people
need
to
be
in
jail,
there's
just
some
people
that
need
to
be
in
jail.
There
are
violent
offenders,
there
are
repeat
offenders
and
sometimes,
as
it
may
not
be
repeat,
violent
offenders.
Also,
there
are
those
as
well,
but
sometimes
repeat,
property
type,
people
that
are
committing
crimes
and
are
just
general
nuisances.
I
But
what
we
don't
want
in
there
is
our
mental
health
people,
our
people
that
are
better
served
by
getting
directed
to
mental
health
or
maybe
an
Outreach
facility
for
housing
or
some
some
food
instabilities
where
they
could
have
some
things
there:
they're
not
having
to
steal
food
and
those
types
of
things.
So
it's
really
just
been
a
county-wide
effort
to
focus
on
getting
the
right
people
to
Source
resources.
They
need
sometimes
we're
successful,
sometimes
we're
not
sometimes
we're
able
to
get
people
diverted
from
the
jail.
I
Sometimes
you
know
people
end
up
there,
because
that's
that's
really
the
one
thing
that's
always
available,
but
that's
really
where
you
see
that
Trend
there
and
then
you
start
to
see
the
you
know:
20
the
Orange
Line
doesn't
suddenly
Spike,
because
you
know
we're
writing
all
these
tickets.
They
kind
of
held
the
same.
I
But
that's
really
what
happened
there
and
that
that
dip
there
was
that
we
realized
a
better
use
of
the
entire
criminal
justice
system
and
it
was
just
those
five
charges
so
and
those
were
always
single
charges.
So,
if
you
were,
if
you
had
shoplifting
and
simple
possession,
you're
likely
not
going
to
get
two
tickets
you're
going
to
go
to
jail
or
if
you're,
trespassing
and
shoplifting
you've
already
been
told
once
not
to
come
back
to
that
store,
and
then
you
shoplift
again
you're
likely
going
to
go
to
jail
for
that.
I
H
I
may
real
quick,
I
just
related
Point,
because
we
already
brought
up
Philadelphia
where
I
spent
my
last
17
years,
we
were
also
Philadelphia,
was
also
involved
in
a
similar
effort
to
reduce
the
jail
population,
and
you
know
like
Charleston.
It
experienced
a
lot
of
success
in
terms
of
the
number,
but
one
thing
that's
instructive
for
us
is
that
the
disparity
remained
the
same,
that
you
know
they.
B
And
Mr
chairman,
if
I
may,
just
close
with
a
comment,
I
remember
when
we
first
set
up
set
out
to
do
the
racial
bias,
audit
and
and
being
flabbergasted
at
how
how
our
system
of
tracking
data
did
not
match
what
sled
had
and
and
the
state
highway
department-
and
you
know
myself
I-
think
most
of
our
citizens,
who
you
know
were
a
little
dumbfounded
by
all
that.
Why?
Why
doesn't
the
different
agencies
have
their
systems
designed?
So
we
got
all
that
straight.
B
It
took
longer
than
we
all
wanted
to,
but
I
think
y'all
are
on
a
very
good
path
of
using
the
data
to
to
address
not
only
the
issue
of
potential
racial
bias
in
the
whole
Criminal
Justice
System,
but
also
it's
very
positive.
As
you
pointed
out
Captain
about
the
the
the
case
with
the
the
deaths
from
from
impaired
driving,
I
mean
you,
you
can
apply
this
data
to
all
kinds
of
public
safety
issues
that
you
all
are
dealing
with,
and
that's
that's
very
positive.
A
You
Mr
Mayor,
so
there's
a
follow-up
on
your
your
previous
question,
mayor
that
the
there's
a
coordinating
Council
that
I've
been
working
on,
but
Captain
Buda
just
mentioned
about
these
little
hanging
fruits
non-violent
type
crimes,
because
when,
when
you
arrest
somebody
for
a
trespass
or
a
shoplifting
or
a
simple
position,
you
you
there's
a
huge
impact
on
the
system.
In
other
words,
that
officer
has
got
to
arrest
you
and
book.
You
fill
up
the
paperwork
on
on
doing
that.
That
person
has
to
be
transported
to
the
county
jail
entered
into
the
county
jail.
A
The
children
has
to
house
that
person
for
at
least
a
day
bring
them
out,
have
a
bond
hearing
and
then
process
them
out
of
of
the
bond
here.
And
so
when
you
multiply
that
by
100
500
a
day
county-wide
at
the
Detention
Center,
it
adds
a
huge
burden
on
the
number
of
personnel
at
the
jail,
and
then
it
takes
that
police
officer
or
officers
off
the
street
in
the
meantime.
So
the
public
doesn't
understand
that
so
much
that's
what
the
real
impact
is.
A
So
it's
been
a
wonderful
county-wide
coordinating
effort
to
to
address
that,
and
it's
a
hats
off
that
we're
participating
in
it
because
I
remember
the
old
days
and
when
we
had
a
city
jail
and
a
city
lockup
and
often
optimal,
I
mean
chief
walk
was
looking
at
me
and
naughty.
That's
I
remember
those
days
in
which
you
would
have
gone
hearings
out
of
the
city
jail
and
we've
we've
eliminated
that
as
as
well.
A
We
talked
about
this
earlier.
What
we're
going
through
here
is
critically
important
for
the
public,
we're
being
transparent
as
to
how
we're
addressing
this
racial
bias
component.
In
our
community
and
our
policing,
this
is
and
I
think
the
chief
said
this
earlier.
This
is
not
an
end.
It's
an
ongoing
process,
but
we're
we've
got
a
team
of
folks
who
are
open-minded
and
a
willing
not
to
shy
away
from
the
hard
questions
and
the
hard
answers
that
come
out
of
those
questions
and
what
Jill
said
later.
A
I
also
been
for
more
of
a
in-person
public
attendance
to
this
I
hope
that
was
going
to
generate
that
it
obviously
did
not
work,
but
I
appreciate
y'all's
work
on
this
and
we'll
follow
up
tomorrow
in
full
find
a
full
Council
with
a
report
on
this
process.
So
thank
you
all
for
your
time
and
energy.
Thank.
K
Mr
chairman
yeah
thank
first
I
want
to
thank
Department
staff
for
the
presentation
I
share
with
you.
The
concern
that
you
raised
about
the
interest
in
having
more
public
participation.
I've
been
proudly.
You
know,
following
this
pretty
closely
and
I
was
not
aware
of
the
fact
that
this
meeting
was
in
fact
in
person,
with
the
attention
of
being
public
I
would
recommend
that
the
department
and
the
council
consider
having
an
additional
conversation
with
this
information
is
presented,
so
it
can
be
discussed.