I help people use data to reduce crime. Associate Professor at @UCLCrimeScience. Former police officer.

Nottingham and London, UK
Joined April 2009
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“These figures are from the Crime Survey, so they aren’t affected by any changes in reporting to police.”
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Liberating criminology from a narrow focus on offender motivation meant criminologists could also understand that crime is partly caused by opportunities, which has been hugely important in developing effective ways to prevent crime. doi.org/10.1111/1745-9133.70…
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There were 680,000 personal thefts in 1995, compared to 344,000 last year. Criminal damage has dropped even more: 3.4 million incidents in 1995 to 656,000 last year. (These figures are from the Crime Survey, so they aren’t affected by any changes in reporting to police.)
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For example, in 1995 the likelihood of being a victim of violence at least once in a year was about 4.7%, compared to 1.3% now. The chances of being a victim of theft have fallen from 31.4% to 7.1% over the same period.
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The Crime Survey does produce prevalence estimates (the likelihood of an average person being a victim of crime in any given year) and they show the same downward trend as in the charts Fraser posted. …
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Matt Ashby retweeted
"The UK has fallen because two years ago someone who had probably never handled a gun before was photographed holding an empty gun the wrong way" Is such a lame outrage chasing pile of tepid nonsense, you'd think the world had run out of things to be upset about.
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This experiment finds a practitioner or global-south researcher without expensive institutional journal subscriptions can only access about 5% of criminology research. Long past time more researchers (especially in the US) got serious about open access. doi.org/10.21428/cb6ab371.bc…
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Useful short summary by @PizaEric of research evidence on the limited effect of CCTV (including automated numberplate recognition cameras) on crime and police outcomes. counciloncj.org/wp-content/u…
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Replying to @Tomi_Tapio
Sure, and it would have been good if the paper had reported the proportion of drivers who were speeding before and after, as well as the change in average speed. But it’s notable that the average before the alerts was over the speed limit and the average afterwards was under.
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So, as I said before, it looks like the main cause of vetting failures was rushing to recruit people to meet the Home Office target and avoid the loss of funding missing the target would lead to. Although as it turned out the Met missed the target in any case.
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Sorry for the slow reply– I don’t check Twitter mentions often. It looks like the vetting review unit you mention overturned 114 cases (not all non-white) out of 5,073 applicants who weren’t properly vetted during the push to meet uplift targets. bbc.co.uk/news/articles/cn9z…
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Since apparently you only believe AI, try this:
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I guess this must be the first case of AI being wrong! 😏
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There is no meaningful measure of population that makes London 15 times the size of Paris. The area covered by the Paris police has a population of about 5 million, compared to about 9 million for the Met in London.
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The Met has a slightly more restrictive policy on this for its own officers. But the bikes in the pictures aren’t from the Met so that policy wouldn’t apply. All that said, it’s generally more considerate to park on yellow lines rather than in taxi/resident/disabled bays.
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The London Local Authorities and Transport for London Act 2003 (try saying that three times fast) exempts vehicles being used for police, fire and ambulance purposes (whether or not in an emergency) from parking restrictions in London.
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