February 19, 2013

International cooperation

Ben Goldacre mentions the current UK discussion over whether Members of Parliament go to prison at a higher rate than people in general.  He points out that age, gender, and social class distributions are different for MPs, and suggests someone does an adjustment.

Here’s a preliminary attempt. Firstly, note that the data (and the claims) have been about prevalence rather than incidence — MPs as a fraction of the UK prison population, not as a fraction of sentences.  I got prison population data from a Parliament briefing paper, and MPs in prison data from Channel 4’s Factcheck

  • I don’t have detailed age data for MPs, though it could certainly be determined, but at least we can restrict from the whole British population to adults (51 million)
  • The UK adult population is very close to 50:50 on gender, 502/648 MPs are male, 63318 out of 66818 (adult) prisoners

So, 0.79% of male MPs were in prison, compared to 0.24% of adult males in the UK. No female MPs, compared to 0.01% for the female population. Gender-standardised, that’s a relative rate of 3.0

The other important variable is social class.  The briefing paper on the prison population says that `almost three-quarters’ of prisoners were on benefits immediately before entry, and Factcheck says 5.5 million people in Britain are on benefits (and presumably MPs aren’t). I don’t have data on how this varies by gender, either for prisoners or for the population, so I’ll do it separately from the gender standardisation

We have 0.61% of MPs (not on benefits) in prison, and one-quarter of 68818 prisoners out of (51 million – 5.5 million) people not on benefits in prison, which comes to 0.037%, for a relative rate of 16.

So, among adults not on benefits, (people who would otherwise be) MPs are 16 times more likely to be in prison.

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Thomas Lumley (@tslumley) is Professor of Biostatistics at the University of Auckland. His research interests include semiparametric models, survey sampling, statistical computing, foundations of statistics, and whatever methodological problems his medical collaborators come up with. He also blogs at Biased and Inefficient See all posts by Thomas Lumley »