Skip to main content

Self-Inflicted Wounds are quite useful

April 6, 2014

Richard Hylton
13166 Jane Court
San Diego, CA 92129
By Email

On the day that preceded the presentation of Vehicle Stop Data, by the SDPD, an email was circulated with this leading sentence.
Update: After reviewing the year-long data on race released by SDPD, there are major differences between what the data showed at 8 months versus at the end of 12 months. We don’t know why the numbers are so different (e.g. the number of stops per month fell significantly between January and December), but this underlines the need for a thorough, independent analysis of the data that can be communicated to the public. In light of this development, we have updated the ACLU’s comments below.

The above was shocking and surprising, since it came from a writer who knew that a significant –some would say dramatic- fall-off in data collection rates had occurred in the fourth quarter. Evidence of the trend, in that direction, had been noticed in 2014 and everyone[1] was notified of the “Diminishing returns” and of other data defects (your records should show mid-November.) since we did in fact know of but not why the data were so different. On giving the situation a second thought, I assigned a benefit of doubt and assumed or concluded that word had come from the City that it had discovered an error in data accumulation or extraction. Accordingly; I expected that the City/SDPD would have included explanations of same in its presentation; Silly me.
Self-inflicted Wounds
Self-inflicted Wounds - or SIWs as they were known - comprised a highly serious wartime military offence especially during the First World War.
Such wounds most often took the form of rifle shots to the hand or foot, the aim being to effectively disqualify the recipient from further front-line service.  In the British Army wounds which resulted in hospitalisation at home were often termed 'Blighty Ones' and thus sometimes perversely sought after.See also PBS' Crimson Field Episode 3

While many - if not most - such self-inflicted wounds went undetected, the consequences for the individual concerned were ominous should suspicions of foul play be raised and confirmed by medical officers.

In an attempt to determine guilt military authorities would strive to determine the type and nature of bullet which caused a given wound - if the bullet was 'home grown', i.e. not fired from an enemy weapon, then the outlook was dark indeed in the absence of clear evidence to the contrary: if found guilty of a self-inflicted wound in the British Army the ultimate penalty was capital, i.e. death by firing squad. .See also PBS' Crimson Field Episode 3

The relentlessly grim, 2004 film, “A Very Long Engagement” has, as its focus, the fate of a group of 5 poilus who were sentenced to death because of SIWs. (Jodie Foster has a significant perhaps un-credited role, as the wife of one of the unfortunate bunch.) Cinematic license gave each an avenue of escape, not available to the SDPD’s targets.

I have concluded that The SDPD uses self-inflicted wounds, of its data, to “severely limit the confidence that can be placed inthat data so as to avoid dealing with its consequences.
The Shape Of Things Fom Times Past.(2002 Report)

The above produced these findings in the 2002 report:
“Key Issues
The substantial decrease in stop forms in 2001, and resulting concerns about the representativeness of the data, severely limit the confidence that can be placed in any findings and conclusions. The authors have tried to be cautious in interpreting the data.”

After having prepared us as to what shall have been found, the authors concluded as follows on page 4:
“Unfortunately, it cannot be determined with any confidence whether the San Diego data for 2001 indicate any systematic patterns of bias in vehicle stops or searches. As discussed above, there is evidence of disproportionate impact on Black/African American and Hispanic drivers….”
The Shape Of Things to Now Come


The similarity of shapes is quite remarkable; the similarity in results is not. They were expectedly dismal. The lesson was well-learned; if you adulterate your data and/or fail to collect or enter it, analysts will be unable to arrive at (adverse) conclusions with confidence. So I ask what confidence the can the new “Outside” or “Independent” analysts have in this new 2014 dataset, marred as it is. We certainly cannot have or tolerate a finding, similar to that of 2002, that is put forward without an unambiguous damning qualification[2].
The charade of the need for Outside analysts and the despatch with which it was accepted, by the absent chair, was well executed. It was worthy of an award; A Very Long Engagement got none, and I never liked charades, and your time is up because your question has been answered.

We should all know that San Diego’s data is quite damning, and has been so for 15 or more years.







[1] Including some in government i.e., City, State and Federal. I even importuned the Vendor; CGI.
[2] Damning of the leadership of a department that stands accused of monstrous wrongdoing against minorities and has devoted massive man-hours and resources in data collection only to abandon its efforts when it saw where the trend of findings was headed.

Comments

Popular posts from this blog

Collecting, Categorizing and Analyzing Demographic Data in San Diego in the years of the Profiling Plague.

A letter essentially identical to the below was sent to Chief Lansdowne on the date indicated. I refrained from using my preferred expression "bullshit detector" and instead used the lame "balderdash detector." I must and will do better. February 15, 2014 William Lansdowne Chief, San Diego Police Department By email to : sdpdpolicechief @pd.sandiego.gov Subsequent to my communication, to you, that contained my analysis of 2013 stop data , I located one or more Official San Diego documents that contained other analyses and officer comments. The analyses were not at odds with mine. So were the observations and comments, including those of the officers and supervisors. I harbour no doubt that you are familiar with all of them. Aside from directing you to the obvious, i.e. the possibility of constituting stop analysis data from Citation data [1] , I will let you re-read them for yourself. Vehicle Stop Form Racial Categories The United States ...

Berkeley; the bastion of progressive values?

April 26, 2018 Yesterday, I sent the within to the Mayor of Berkeley and others, in the mayor's office, as listed. Much nothing will come of it; not until Berkeley is sued for some  atrocity in policing. Believe me, it is just a matter of time. Doubtless we will have the usual protestations, denials and promises. The lot below shall not be able to say that they did not know of the rot; the oppression; the bias. Berkeley's data is, for want of a polite expression, piss-poor. This opinion may be partly driven by the fact that the data is not in the form that Berkeley represents it to be; that over 3,400 records have no demographic data, and that it leaves out some of the most basic, the most common, policing data elements. On the other hand, it carries data of other persons involved in the stop, but one cannot determine who is driver and who is passenger. It is, as it is, but it tells the same old story, and it tells plenty; albeit less vividly than most other places. Mayor...

Even More Fatally Flawed And Still Unfit for Purpose or The Great Distraction

Subject: RIPA Advisory Board – More Fatally Flawed and Still Unfit for Purpose   I wanted to wait until I came into possession of the actual 2025 Annual RIPA Report, before writing this, but I found myself between a rock and a hard place. My strongest motivator was fear; fear of reading a newspaper or web-account of the RIPA results or seeing a TV Broadcast that is ruled by lies and/or happy talk. I remember last year too well.  I also feared that, as was the case with the reports from the last few years, the RIPA Report, to which the press has early or immediate access, would not become available to me for several days.  Because of that, I decided to write this.   “Racial Discrimination is an inference that may be drawn from Racial Disparities.” In the absence of other inferences, or plausible explanations, our choices become limited.   There is an abundance of racial disparities to be found in RIPA data. I am unaware of any adverse disparity that has...