we're going to throw a lot of data at you tonight our goal is to provide you context now we've been at this in this city now with this particular strategy for the last four years come January 8th and we've worked hard to develop what we call a community-based problem oriented data driven strategy the communitybased part is putting a lot of authority in the hands of our district commanders and through them our officers in your neighborhoods fulfilling our mission and the mission statement this Police Department adopted three and a half years ago was that the mission of this Police Department is to create neighborhoods that can sustain Civic life that's our mission a mission isn't to make arrests all right it's one of the things we do but it's not our mission all right our mission isn't to write tickets it's something important we do but it's not our mission the reason a free people empowered Democratic policing was so that they could use their neighborhoods for the purposes for which they were intended to raise children and pursue the American dream that's why you're all here that's why you take time out of your life and some of you take risks in your neighborhoods to stand up for the values of strong neighborhoods they can affirm child rearing and allow people to live in peace and pursue the American dream now if there's one thing we know in many of our Central cities including Milwaukee there are neighborhoods where people are not enjoying the freedoms of free Americans they're living in fear because people with guns who are bullies and have their own agendas hold neighborhoods hostage and threaten young people we know this so when we came here and adopted as our mission to help create strong neighborhoods we said we were going to do it based in the community oriented around solving problems not just responding to calls and using data to drive our deployments and hold ourselves accountable all right if we're going to do something we need to measure that it mattered we're we're going to do something we have to be willing to report on what happened if we're going to do something we've got to justify it and what we have at our disposal is data so we're community- based those captains and you we're problem oriented and we're data driven and our goal is to reduce crime fear and Disorder so these neighborhoods can come together now for the last four years we've been working real hard at improving our relationship with neighborhoods so we had achieved some level of legitimacy we in this police department and in the police profession know we have inherited a social history of which we can't always be proud and that's true in every American city through the course of America's experience with new groups in town the police have often been in the middle of great conflict and not infrequently been agents of social control to preserve a status quo right it's happened to everybody's people in this room at some time or another and certainly in Milwaukee in the last 40 years you've had your own Rich history problematic as it has been sometimes between the police and the community so we work to transcend that because we have to work together to achieve a just result which is safe neighborhoods you can live in now we've been producing a lot of data for the last four years I'll be sharing it with you why tonight why now one of the issues that the last 15 years has arisen in policing is the expression known as racial profiling the implication that police choose tactics driven by bias rather than a legitimate social need now everybody in this room is old enough to remember when that issue started to come to the four okay I remember vividly starting in the mid90s the Department of Justice of the United States decided to take teach Highway Patrol agencies drug Courier profiling they gave classes in it the drug enforcement agency taught these classes and they developed drug Courier profiles based on prior experience of drug Courier arrests now there's a surface logic in that right this is the picture of the guys we've locked up in the last five years years driving up Route 95 from Florida to Massachusetts this is what they look like this is what their cars look like these are the behaviors they engage in Target this subset of drivers now on the surface that made sense but as a thoughtful social scientist will tell you if you're base your future response just on what you did in the past you're going to keep getting what you got and what began to happen on the highway of America is it became very very clear that given the number of people that use the highway I.E from All Over America and who was getting targeted for stops there was a significant disparity between white and black Americans getting pulled over on the highway and checked out as possible drug courriers and one of the standards that were used was the soall hit rate which is what percentage of these stops are resulting in drug seizures and they found the hit rate between the races was identical but the number of black people stopped was Far higher which meant more of them were going to jail so implicit in this was that bias conscious or unconscious driving a police strategy was having an adverse impact on a particular community and also theoretically letting a lot of drug dealers get through because they weren't stopping more of other kinds of people and so the justice department again got involved only this time it was the Civil Rights division there were lots of lawsuits there were consent decrees there were rulings and findings okay that's the backdrop of the racial profiling issue as a career professional I began to experienc some frustration and concern about this issue because my career was in urban policing at the same time this was going on in highways police departments in cities were beginning to embrace community policing right going to Communities going to neighborhoods finding out what people were complaining about and what they wanted and trying to respond we were also embracing what's known as the compstat process computer statistics meaning we were analyzing crime patterns and Trends putting them on big charts at our meetings that we have every day analyzing where the crime was occurring putting dots on maps to find out where they were clusters and saying what are you doing about those dots what do they mean all right what activities are we undertaking to disrupt that and we were measuring crime Trends and computers were ening us to do it accurately so two things were happening at the same time and it was only a matter of time till they started to collide Highway patrols R under consent degrees for differential policing because of their discretionary stops we targeting people race was a significant Factor they're pulling a lot of M to seiz drugs cities were going to their neighborhoods and saying what do you want us to do and I will ask this question now has anybody here ever been in a community meeting in this city where people said we want fewer police in our neighborhood okay has anybody here been to a meeting where people said will you take it easy with like walking around and checking people out and putting your lights on uh you please will you stop that in my neighborhood because it's making too much noise all right I mean people in this neighborhood light up 911 with we want you to do something now here and certainly it's been clear at meetings you've been with these commanders and their predecessors many of whom now wear stars that you had demands and expectations for the police you expect us to work with you you expect us to respond to your concerns and the third part which may have been the most most important to be legitimate you expect us to treat you with respect now I think we've made a lot of progress on those three fronts in the last several years I think there are real part I think you're feeling a sense of partnership with the police department at the district level I think you have a sense it's responding to your concerns not always as successfully as we would like but we're certainly not ignoring them and if the feedback I get in the data I analysis analyzes any indication people are perceiving they're being respectfully treated okay they're not when we move into that neighborhood we're not invading anymore we're moving in because we're liberating okay we're working with the people in that spot we're not just everybody up against the wall randomly all right I remember those days you probably do too so these are Big differences having said all of that our friends at the Journal Sentinel who have taken a keen interest in police operations these several months delightful interest I I just I'll I'll just share this with you and this this isn't to bash anybody I'm just going to repeat a fact there is one reporter from the Journal Sentinel assigned to all of County government there is one reporter from the Journal Sentinel assigned to all of city government and there was one reporter from that newspaper assigned to the entire school system there are three reporters assigned to the police department we are a source obviously of endless assassination so having said that and remember we keep track of what we do and that's what we're going to show you tonight they made an open records request of our car stop data you will remember in 2010 a law was passed to go into effect in January to require police departments to collect data by race on whom they sto we were doing that already and when that law was repealed in January of this year we voluntarily continued to collect the data why because we want to know what we're doing we want to account for our use of authority and we want to be able to explain it to the community to the community's leaders you all right now we've been prepared to do this all along that's why I have all this stuff at my fingertips but now we've been caught okay and they're going to do an article and the purpose of the article is to show you may be horrified to to hear what I'm about to say there are racial disparities in our car stops based on the formula the Journal Sentinel is using okay now I'm going to represent that the most disgraceful disparity we have in this city is victims of violent crime and we'll show you the numbers about that disparity who's getting murdered who's getting robbed who's getting their house broken into who's getting their car stolen and we're going to share with you what our crime analysis tells us about where the crimes are I.E where the victims live and what tools we have at our disposal to be proactive which are largely stopping cars and people and having a conversation so let me start out with the overall data and then I'll move you through it if you have a question on a particular slide stop me otherwise we can move through and have questions after wherever you want to interrupt and I'm surrounded by smart people so when I start studying they'll know when to step in okay all right do I have a clicker or are you gonna do it I'll take care okay first slide i' say they've seen me do this before and I'm lousy at it this is our overall crime statistics covering the last five years the first 11 months of The Last 5 Years 7 8 9 10 11 we use 2007 as the base cuz that's the year before we took over all right point we want to make is there has been change for the first 11 months those were the numbers you can see compared to the Baseline year we have 24% less violent crime than we had five years ago and almost 21% less property crime and we have 21% less over overall crime stolen cars are down almost 40% and in some neighborhoods it's our profound belief that a stolen car is a stolen job I'm not talking about joy riding now people are stealing cars and taking them to the scrapyard they're disappearing and when people lose their cars in some neighborhoods they lose their ability to work that's a significant challenge it's a reason why we have spent a lot of resources trying to affect the environment of where these cars are stolen the research that I inherited is that active use of stolen cars has a direct impact I mean active use of car stop Behavior by the police has a direct impact on stolen cars every month we re-identify the most frequently stolen cars in each district and what do we ask the captains to have their people do what's enough frequently stolen car in your District Dodge Caravan Dodge Caravan how about you how about you Ken do Caravan what do you think we stop a lot of anybody here drive a Dodge Caravan no CU I was going to ask if you stopped because he should have been Jim do you drive the Dodge Caravan have you even stopped no sir gotta quit badging him okay point I want to make is overall all right overall the first 11 months of 2007 we had 35,000 victims of crime the first 11 months of this year we've had 27,000 victims of crime 8,000 fewer victims should mean something that's our goal communities that are afraid because they're Afflicted cannot be strong people will not come together and work together if it's too risky we want to show you the results of our work 7,000 f were victims in the first 11 months of this year compared to our Baseline year next slide when I came here I wanted to make sure that this Police Department went back on offense it had been beaten up for several years we were playing defense I wanted to make sure when we went on offense we did it in a way that connected to the neighborhoods there had to be Communications people had to understand what we were about to do and you may recall some of you we did a series of meetings across the city in which I asked the district commanders every one of you identify your major crime problem identify a solution have a community meeting to announce it and then six weeks later we're going to have another meeting and show you how we've done and that was our first crack at it one of the things we knew is we had to create time for our officers to investigate to look into suspicious conditions to occupy public space as long as we were hostages to the radio system and spent all of our time answering calls we had no coppers in the public spaces and when there's no police in the public spaces the community loses confidence and when the community loses confidence it abandons those spaces and who do you think occupies them all right that's what was happening so we needed to do two things we needed this department to be visible and we needed it to be active we started to take more calls over the phone and started to create more foot patrols and more bicycle patrols and time for officers to do directed Patrol missions which means that hot spot over there I want you to stop cars and talk to people I want you to disrupt the environment because the cops are here now all right and if you stay in the same neighborhoods over and over again you're going to do something very important you're going to develop the social antenna to know who's who because when the day comes I want this guy over here who we know is a knucklehead I'm happy if he got stopped 10 times in one week meanwhile somebody else who's out late at night because they work at night after the first couple of times somebody checks them out everybody knows that's the guy who works at night and people can kind of sett the cops get familiar with the comings and goings of the neighborhood they get to know who's who in the neighborhood and even though we stay active the key is to retain neighborhood support for those efforts okay what happened 44,000 stops in the first 10 months of 2007 first 10 months of 2010 163,00 stops 2011 we're slacking off only 153,000 I'm going to have to talk to the captains but the point is if you look at that bottom number we've done a 250% increase in our interventions with cars on the street that's a huge increase right look at that bottom number swear to God external complaints in 2007 to 2011 excuse me yeah 20 7 to 2011 we've had a decrease of 44% okay from last year to this year there's a 17% decrease from 2007 when there were 466 citizen complaints against this department in the first 10 months this year there are 257 and we've got more places to complain than ever before now that means something to me that means we're operating with community approv approval and support and it also means that our boys and girls are learning how to talk to people if you can increase I mean I would have thought if you're going to qu quadruple the amount of activity okay if you hold constant then all right if I had four times as many complaints I really had the same number of complaints but I only didn't get four times as many complaints I got less complaints in real numbers and that's been true for every single year of the last four years next slide subject stop activity it's the same Dynamic all right stopping and talking to people a lot fewer subject stops it's easier to stop a car 49,000 subject stops this year 12,000 in 2007 same dynamic because it's the same I'm counting complaints for everything all right but still and all with that increase a 240% increase in subject stops a 250% increase car stops and a decline in citizen complaints that's what I mean about Community Partnerships next sub next line we had our researchers do a study it's hard to explain not because I don't think you'd understand it but because I don't completely understand it um the correlation coefficient the idea behind it is to show you the relationship between something you're doing and something you're trying to affect okay the bigger the gap app the better ideally if your activity is going up you want the thing you're affecting to clearly go down this is stolen cars over the course of the last five years from January of' 07 to now four four and a half years okay a correlation coefficient of 81 that's really big and what that means is if you'll notice here's our car stops kind of noodle it along here here's our stolen car higher than our car stops then look what happens car stops start to go up what happens to car thefts look at that there's the crossover Point September of 08 that's when we really started to ramp it up we go up they go down we go up again they go down we go up again they come up a little bit we go upoh what next's going on down here well look at that we slacked off a little bit and we had a spike we ramp up the car stops the stolen cars go down we get a little lazy they start to go up again they noodle along here as we noodle along here again we get a little lazy all right spike it up it drops starts to go up again car stops start to come down again we start to push them up it starts to decline again all right there is an absolute correlation between us being busy about cars Southside it's Honda Civics and Honda Accords north side it's Dodge Caravans now there are other cars as well but those two just bubble up all the time and so we some people we stop a lot and I'll show you some of that in a little while the point is there is an absolute correlation between getting busy with cars and stolen cars the next one subject stops versus robberies there is a correlation it's not as strong right robbers use the Street our assumption is if we get on the street and talk to people we're going to have an impact on Behavior we're going to do some deterrence Behavior we're going to be in that public space as you can see again there is a correlation you'll notice when our activity goes up the robbery activity goes down it is not as clear and high as the Peaks and values are for stolen cars but there is nonetheless in some months when we increase that activity significantly there's a clear drop in robberies once again we really but it still went up and we went up again it went down we started to go up it started to climb up again we go up it's still a little high this year robberies are up over last year no surprise I mean you probably know that they're certainly down compared to a few years ago but they're up this year it's been a very stubborn problem but there is a statistically significant correlation between being busy on the street with pedestrians and Street robberies next one all right I showed this one to the newspaper to try to get them to understand what it is we're doing this is a density map the darker it is the means the more of what we're measuring is inside that Circle all right now we drew several lines here because this is where we are focusing the bulk of our resources based on what's happening there if you look at it and I have to get close to it because I can't read as well as I used to in both Maps the black line represents the highest density of calls for service this is where we're getting the most calls from people asking us to do something the green line is violent crime this is the highest concentration of violent crime in the city the the uh orange line is the highest concentration of car stops in the city and the uh red line is the highest concentration of pedestrian stops in the city this is compared to minority population this is compared to the total population of Milwaukee so you can see there are some very dense areas in Milwaukee outside inside this ellipse but inside this ellipse in the next chart will will uh can you put the next chart just on one screen is that possible so I could have all three up at the same time it's not possible okay does this ellipse look much different than the last one okay this is the poverty population I mean this is not news to anybody all right our highest concentrations of poverty are our places where we have our highest concentrations of violent crime our highest concentrations of citizens calling us and therefore our highest concentration of proactive police activity which is means cars and coppers stopping folks stopping cars intervening being active all right how many of your black groups are inside this ellips a lot of them right I mean this is a big piece this is a piece of two it's a big piece of uh of uh five and three and seven so if you're in three five and seven you own a piece of this ellipse okay I mean this is this is where we're fighting it out guys okay next slide again the same ellipse because this is where they're stopping what we found is we have been trying to not just Target cars but Target known offenders we want them the term we use inside the police department is we want to take away their anonymity all right it's not space aliens dropping from the skies victimizing people it's neighbors people who live a few blocks over if we know their name and know their face and call them by name it affects their behavior being known undermines criminal Effectiveness trying to pull out of the car stop data who our frequent flyers are is difficult except through citation information and so I've got a data point here that's not on a chart but there's an example there of one fella excuse me of 21 folks that we have stopped a lot of times 21 people actually 21 22 23 24 people well known to us have been stopped 293 times now why do you think we're doing that because we know the guy okay we know the guy is a bad guy if I know a guy's been arrested several times for drugs or burglary and I see him driving slow around the neighborhood what do you want us to do hello have a nice day what you doing here what's new hey you might want to get that t I fixed you know how you doing when did you get out of jail oh good okay who's your probation officer ah good well listen I'll give him a call and tell him I saw you all right right that's what we expect I think you expect us to do that that's what we expect to do to them as well and I've got here somebody gave me they ran some numbers of those 20 guys and hold on a minute sometimes it's possible to have too much information at your fingertips okay of these of these guys of the 24 prolific offenders we have here that was our first cut at the data 20 of them have a criminal history I guess the other ones are just bad drivers 20 those 20 people have been arrested 104 times all right on a total of 194 charges and they've all got felony convictions a point is they're not alone but our challenge is we get better attuned to crime data but also no the community we're going to recognize people that need our special attention now that guy is just going to be reflected in the data as an African-American 20 car stops of an african-amer but it in fact is you know 20 guys stopped 700 times because they committed 108 crimes because people expect us to know what's going on in their neighborhoods next slide all right this is again those are percentages every one of your districts has a percentage of how much violent crime happened between two 2007 and 11 although the total crime has decreased the percentages really haven't okay as you can see District Five who gets District Five Terrence you have District Five see we put people in District Five that we want to make really really old fast but as you can see we've got seven districts District 5 21% of our violent crime 24 25 4 25 25% of our violent crime there's a lot of stuff going on in District 5 it's a tough place now I'm glad there's less violent crime now than there was in 2007 but it's still 25% of the violent crime District three green 21% District SE district 7 is 20% 35 and seven 25 21 23 districts responsible for 2third of the crime in Milwaukee you saw the ellipse before 35 and seven okay 35 and seven next one after that is two and we spent a lot of activity down in two as well obviously okay next uh next slide okay when we decided to ramp up car stops and we knew we were going to be targeting the highest crime areas the every district has to make lots of car stuff so don't get me District one's got to do it District 7's got to do it this six exra four everybody's got to do car stops we ask them about it every day but we knew given the amount of officers we were putting in three five and seven this is where the ball game was going to be won or lost it occurred to me we're using lawful traffic violations to stop people if we're not careful we will have imposed a poor people tax on 35 and7 trying to lower crime with car stops is going to create a condition where we can write a boatload of tickets that's not necessarily what we're trying to do now if we get a known burglar he will probably get tickets all right but if I get the school teacher coming home from work and the tail lights's out that's a different set of circumstances okay because the one thing I know about a burglar we might not convict him of the burglary but the tickets will follow him to his grave those warrants for the tickets they'll they'll be out like nobody's business at any rate when we issue the order to do do this Based on data we instructed officers to whenever they can exercise their discretion to warn not sight I wanted us to be busy I wanted us to be visible I wanted us to be active I did not want us to be making people's lives miserable whose only offense was they where we're stopping lots of cars okay by District these are percentages blue is you got a ticket red is you got a warning 60% of District one's car stops are warning District's 2 66% District 3 61% are warnings not citations District Four 80% that's where you want to get stopped District 5 66% are warnings 29% are citations district 6 72% district 7 73% are warnings not citations the ntf as you can see is much closer they're the Tactical guys they're the motorcycles they live for tickets okay that's always been their mission so they still give more warnings than tickets but they do write more tickets than anybody else and that's all the other bureaus the point is and maybe this is affecting our citizen complaints I don't know nobody likes to get stopped by the cops everybody likes to get a break and we're trying to give breaks we want to talk to people we want to have that conversation it's a threshold inquiry if that threshold inquiry reveals somebody getting really nervous and hinky and trying to hide stuff and he keeps looking to the same place hoping we don't see where his eyes are going that's a different thing but in awful lot of these circumstances or just somebody driving on the roads okay fine Hi how are you did you know this did you know you roll through that stop sign okay take it easy next time have a nice day next slide okay we do this for other crimes later on what I wanted you to have a sense of is who are the victims of our crimes green means we don't know who the suspect was all right as you would assume there's a lot of burglaries we don't solve it's the nature of burglary it's a crime of stealth but for those crimes for whom we know who the offender is and we know who the victim is these are the percentages we talked about The Spar in the city 73% of our victims of aggravated assault in Milwaukee are African-American almost three quarters and as you would expect since that's usually a crime among people that know each other 72% of the identified suspects are African-American burglaries we don't know the suspects 70% of the time so this is you know a great unknown 55% of burglaries take place in the households of African-Americans remember the ellipse all right 64% of our suspects but we have 27% unknown almost 80% of the murder victims in this town are African-American that's a huge disparity because it's sure not 80% of the population is it all right saying the poverty ellipse the violent crime ellipse it's as old as American history but they're the same ellipse next slide okay district one isn't here today District Two District three is here today let's look at District three which is where we are okay this is the crime data for aggravated assaults burglaries in this District Michael why don't you tell them what they say CU you're living it yeah of course most of the victims are African American unfortunately arrese suspect same thing I mean it goes all the way across except the name thing fits for burglaries as we don't know a lot of those suspects of course but everything else follows the pattern 86% I mean that's it's a huge amount huge amount so what is that 86% of the victims of aggravated assault 94% of the victims of murder in this District yeah all right that's almost [ __ ] that's almost 100% so if we're going to get busy we're going to get busy here next slide District Four we have district four people here yes no okay District Five then all right District Five Terrence any surprises there not really right I mean I have a feeling I'm not telling you anything you don't know but I just want you to see it graphically to I want you to know that we know okay we're paying attention to this stuff we're factoring it into what we're trying to do we're not blundering around in the city not knowing the effect we're having on people's lives and not knowing that we're trying to help and make a difference in these neighborhoods District Seven let's go slip up to that one all right again very similar Dynamic all right inside that ellipse that's where we've got our violent crime problems all right next slide this is our overall crime victimization we take the whole city and put victims by race when the race is known all right this is my district this is all the crime lumped together murder rape robbery aggravated assault theft y car theft so on okay um again very similar Dynamics figuring out you'd figure District Six where the victims would be and district one where the victims would be didd figure a lot of victims Hispanic in District Two that's true and then here we are 3 5 7 65% 72% and 76% of all crimes in those three districts afflict the same folks in the same neighborhoods um and seven as you can see it's almost 34 next robbery victimization we broke that out because that's a street crime once again that's what we're trying to affect with our pedestrian stops as you can see District Two is what you would expect as is district one 3 four five 7 once again have that heavy disparity in who's being victimized by crime something a lot of professors don't want to talk about when they talk about police stops but this is what we're responding to people that live there don't want to be victimized anymore and they expect us to do something next auto theft that's what we're trying to affect with car stops as well as the general environment of impunity and once again who lives there is who gets victimized now the difference is 76% in District 5 means a lot different thing that it might mean in district 6 why because the number of crimes is so much higher so it's not just that 76% of the victims are are African-American it's 76% of a much bigger number than that same percentage would be in District six or district one you may be 50% of the victims in one of those districts but there's not a lot of crime so it's a lower number of people getting victimized this is a high concentration of victims not just a high percentage of victims yes sir you say crime how many is that with weapons uh I don't have that with us we we track it it's a lot you know I can tell you that aggravated assaults a lot of those are committed with Firearms we have a significant armed robbery problem in this in this in this town and we do and we look at in our daily numbers they're not considered separate crimes but every day we track the number of shootings they would be carried in the aggravated assault statistics but we pull out separately um non-fatal shootings uh robberies committed with uh with handguns and uh we also pull out aggravated assaults with weapons robberies with weapons and non-fatal shooting so we track that number but it's not a official crime so now why why do we have this new gun law you're going to have to ask somebody else I guess because there weren't enough guns that's not stepping that quick sand tonight my friend next next slide um all right this is the suspect data again no surprises all right people in Milwaukee tend to get victimized by people who look like them there are some exceptions obviously but if you look at the districts once again we've got a very high concentration of suspects now remember in some of those crimes there's an unknown who the susp you know who the suspect is but these are the ones that we do know when when the race is known um it's very high again the same ellipses we were looking at before high concentrations of poverty high concentrations of minority residents high concentrations of violent crime there's no surprises here all right and once again the question is not if we respond to it but in what Manner do we respond to it and are we working with our block captains and our neighborhood groups next slide there's our traffic stop data that is by district and we've broken out the race of whom we're stopping by District so if you go back for example preceding slide let's go back a minute all right District 3 93% of our described suspects are African-American and our car stops in District three 79% okay District Four back again 96% is that what it said 90% sorry you better read it cuz you're closer um in District Four here 85 all right now understand I'm not saying every car stop is looking for a particular suspect I'm not going to slide over that way but what I am saying is that's a reasonable Benchmark about who's living where we're stopping because people commit burglaries and robberies fairly close to home not too many of them are commuting across district lines to do that all right if they're going to commit a robbery they want to get get out fast and get undercover our robberies robbers tend to live within four to six blocks of the robbery right okay same thing is true with our burglars some of them yes they're high rate offenders with long records and they drive around the city break it into houses but an awful lot of our juvenile robbers and our other I mean our juvenile burglars and other burglars they stay where they know the turf they know where to escape they know where the cuts are they know they fit in all right um okay next subject stops now question is what's the disparity meaning what's the denominator being compared to the newspapers developed a a a formula based on the estimated driving population of the metropolitan area um I'm not going to equp we're basing our efforts on location victim and offend information that's what we got that's what we know that's our reality there's a Golden Triangle we use in policing you've probably heard it some of you from your districts all my district commanders have it memorized right I'm going to take a chance here Captain Howard tends to be our best pupil what are the three 10% all right 10% of our victims are victimized 40% of the time 10% of our offenders uh commit 50% of the offenses and % of our fenses occur at 10% of the locations very good and it's true which means we have to focus you know we started out focusing on districts we started to learn to focus on squat areas we've gotten to the point now where we're starting to focus on specific blocks because we're trying to drive down into a fender based and location based policing if we know that 10% of our locations are going to generate 60% of the crime remember the density map then we've got to be there doing something if we know 10% of our offenders are responsible for 50% of the crime remember those 20 guys and 109 charges crimes we've got to Target those guys we got to drive around looking for people and if we see them we have to encounter them them and engage them most of the time they're not carrying anything bad once again we've gotten inside their head and if we get inside their head we're hoping we're going to affect their behavior we're going to hope they find White Fish Bay we're GNA hope they find Glendale we're gonna hope they find West Alice okay because we want to share with the metropolitan area okay our challenges next slide is that it okay listen we'll repeat anything you want but I just sincerely believe there was a ad campaign years ago that I grew up with educated consumers or our best customers you've taken the risk to work with us at least we can do with you is share the information we have at our disposal [Music]