Gavin Hales Profile picture
24 Nov, 12 tweets, 3 min read
Here's a question: do police officers get any training on the risks of logical fallacies (and/or statistics...)?

What am I on about? Bear with me...

[Short thread]

1/
I attended (virtually) a meeting the other day at which several attendees described their/their colleagues' experiences of being stopped and searched by police during lockdown. Most of the cases related to s23 drugs #stopsearch-es. A couple had received media coverage.

2/
Eg 2 scenarios. (i) Black man sitting in his nice car (in a fairly deprived area) minding his own business, police stop next to him and ask him to get out for a s23 drugs search. (ii) Young people delivering food parcels #stopsearch-ed on suspicion of dealing drugs.

3/
I've previously tweeted about the use of s23 powers re cannabis when the priority is knives, including an officer describing to me the way most gang members, knife carriers etc they interact with use cannabis

4/
The implication seemed to be that cannabis possession/use is an indicator of other offending - which seemed to ignore that even if most knife carriers use cannabis, most cannabis users won't carry knives. I.e. the cannabis is only weakly predictive.

5/
This got me wondering if police officers, in forming suspicion, at times fall into the trap of a logical fallacy, specifically 'faulty generalisation' en.wikipedia.org/wiki/Faulty_ge…

IE, they assume the sample of the popn they come into contact with is representative (hence stats).

6/
EGs: Gang members use cannabis, therefore cannabis use is grounds to suspect gang membership. Drug dealers in poor, diverse neighbourhoods are often Black men who drive nice cars, therefore a Black man driving a nice car in a poor neighbourhood = grounds to suspect drugs.

7/
Eg drug dealers were disguising themselves as key workers during lockdown (which is true) therefore people from similar demographics presenting themselves as key workers = grounds to suspect drug dealing.

8/
The result is that lots of law-abiding people get caught up as suspected of offences - in some cases frequently - and the legitimacy of #stopsearch and other coercive powers are called into question.

9/
Closing thoughts.

First, the risks of this logical fallacy must be greater where presumed indicators of criminality are actually manifestations of wider cultural norms/behaviours (nice cars, hoodies, on street group socialising....?)

10/
Second, is the ability of officers to distinguish between predictive and non-predictive indicators in part a function of their familiarity with those cultural norms etc? Ie if the main contact they have is via enforcement rather than as neighbours etc (different 'samples').

11/
Third, if officers better understood the risks of this logical fallacy, would they be more discerning in the use of their powers? Related: is this an argument for closer scrutiny of grounds (again) to ensure they are formed appropriately/as specifically as possible?

12/12

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More from @gmhales

27 Nov
.@EssexBarrister I appreciated your contribution yesterday to the discussion on Sky. Wondered if I might offer a few pieces of the puzzle re disproportionality in terms of crime and policing?

1/
Nationally, '...among the broad ethnic groups, Black people were most likely to live in the 10% of neighbourhoods most deprived in relation to crime (27% of this group did so)’ ethnicity-facts-figures.service.gov.uk/uk-population-…

2/
In London (and elsewhere), areas (here boroughs) with more crime are allocated more police officers (TNO = Total Notifiable Offences)

3/ Image
Read 17 tweets
27 Jul
Some focus today on an increase in s60 #stopsearch by the Met during lockdown, eg in this article by @sloumarsh. I'd like to suggest that's a bit of a red herring.

1/5 Thread

theguardian.com/uk-news/2020/j….
Here are the MPS #stopsearch monthly totals by reason for search/power, fr June 2018 to June 2020. Huge increase in totals over the period, driven by drugs stops (s23).

The s60 totals are in red at the bottom (Jan'20 1.2k, Feb 505, Mar 710, Apr 292, May 1.4k, Jun 678).

2/5 Image
And here are the monthly percentages by reason for search/power for the same period.

s60 peaked at 27% in Aug18 and 12% in Aug19 (both Notting Hill Carnival). Was 4.6% in Jan 2020, 2.2% in Feb, 3.0% in Mar, 1.0% in Apr, 3.3% in May and 2.3% in June #stopsearch

3/5 Image
Read 5 tweets
10 Jul
I recently suggested the high rate of #stopsearch by the MPS (and population demographics) skews national disproportionality rate calculations. In this thread I'll post some numbers.



1/ THREAD
I thought it would be interesting to look at how London/the MPS compares to the rest of England and Wales combined.

2/
I've looked at the #stopsearch rate per 1,000 for black and white people only (to simplify the analysis) for 2018/19. I've removed BTP & City of London due to the impossibility/difficulty to calc rates.

I'm using the data posted at (8) on this page: ethnicity-facts-figures.service.gov.uk/crime-justice-…

3/
Read 8 tweets
9 Jul
I've been thinking more about #stopsearch disproportionality. Thought I'd have a look at Lambeth, which is a borough with v high volumes of SS and lots of youth violence type issues.

1/ THREAD
The MPS #stopsearch dashboard shows SS during Jul19-Jun20 (total n=15,908) focused on males (93%), black subjects (61%), 15-24 yr olds (49%). Peak rate for 15-19 yr olds (309 per 1,000).

2/
Using the @LDN_data GLA 'Ethnic group projections (2016-based housing-led)' I looked at the estimated borough population structure, by gender, age and ethnicity, in 2019.
data.london.gov.uk/download/ethni…

3/
Read 14 tweets
7 Jul
Perhaps some context to complaints re #stopsearch in London: there has been a massive increase in volumes over the last 2yrs.

The result: falling arrest (and positive outcome) rates, down from 18.2% (30.7%) in Jul 18 to 9.1% (19.8%) in May 20. met.police.uk/sd/stats-and-d…

1/ THREAD
There is an inverse relationship between volumes and arrest/positive outcome rates. As volumes of #stopsearch increase, numbers of 'false positives' increase faster = more potential for complaints (all else being equal) and more risks to legitimacy.

2/
A key way the reduction in #stopsearch in London was achieved after 2011 was through a focus on the strength of grounds (how 'reasonable' were they) and arrest rates. A 20% arrest rate target was introduced and SS fell until it was reached.

3/
Read 9 tweets
31 Jan
Right, I've been crunching the numbers to look at the relationship between #policeworkforce changes in police officer numbers and the likely allocation of the #20kuplift.

Strap yourselves in, it's very interesting and may get bumpy.

THREAD

1/
First to say that I've used the allocation of the first 6k of the 20kuplift, which uses the existing #fundingformula, to determine how many cops of the 20k each force may get. Details in the attachment to this written statement. parliament.uk/business/publi…

2/
I've then used the Mar 2019 #policeworkforce statistics to look at changes between 2010 and 2019.

NB: I am using the 31 Mar 2019 numbers as a proxy for the #20kuplift baseline b/c that's all we've got now. In reality the baseline nos will be different

3/
Read 11 tweets

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