Investigating systemic bias in Canada’s prisons

You can find the GitHub repository for this presentation at:

github.com/tomcardoso/cplusj-bias-2021

About me

Tom Cardoso, crime and justice reporter
at The Globe and Mail

@tom_cardoso

A sentence of two years or longer lands you in federal prison. We have a massive overincarceration problem for Indigenous and Black people.

Risk assessments

Custody Rating Scale

Static Factors

Dynamic Factors

  • Standardized tests.
  • Designed to measure an inmate’s risk to the public and odds of being rehabilitated.
  • Everywhere in corrections. Murderers, fraudsters, etc.: everyone gets one.
  • Used to classify, treat, and parole the 12,000 to 14,000 inmates in federal custody each year.
  • But: Evaluating risk is tricky. Tons of room for bias.

Issues in assessment

  • Highly subjective to the assessor
  • Tough to interpret results
  • Takes years to design an assessment, and then years to find out if it works
  • Over time, tools become less effective
  • Cultural bias

What we found

    Compared to white men, and after controlling for factors like age, offence severity and criminal history, etc.…

  • Black men: roughly 24% more likely than white men to end up in maximum security.

  • Indigenous men: roughly 30% more likely to have the worst reintegration score.
  • Both: actually less likely to reoffend after controlling for reintegration scores.
  • Even worse for Indigenous women.

How did this come together?

  • A single freedom of information request, for a massive database of 50,000 inmates. 750,000 rows in all.
  • Went for broke. No one had attempted a prison FOI on this scale — academics, legal experts warned it couldn’t be done.
  • After some analysis, realized I needed a more complex approach to account for multiple variables.
  • Landed on a basic modelling technique, multivariate logistic regression.
  • Informed by traditional reporting: interviews with 90+ sources, reviewed hundreds of pages of inmate records, dozens of academic studies.

Response

  • Published first story on a Saturday morning. By Monday afternoon, the House of Commons’ public safety committee had announced a study of systemic racism in prison risk assessments.
  • Prime Minister acknowledged findings a few days later.
  • Lawyers using our reporting at parole hearings.
  • Last month: Class-action human rights lawsuit filed against the federal government on behalf of tens of thousands of inmates.

Takeaways

  • File big-picture, ambitious data FOIs. Most won’t work out, but some will.
  • Experiment with new techniques. Learned how to model data for this story.
  • Constantly try to disprove your own findings. Especially on big stories.
  • Write a methodology story. Be transparent about your process and analysis limitations. Most people won’t read it, but the ones who do will appreciate it.
  • Data is just a tool. Still need to report. Find documents, build sources, pick up the phone, etc.

Stories

Thanks!