The Risk of False Confession Driven
Wrongful Convictions
A Bayesian framework for estimating how often lawful interrogation tactics contribute to wrongful convictions of the innocent.
Key Finding from the Research
Under most reasonable assumptions, the estimated risk of a false confession leading to wrongful conviction clusters around 1%. At the traditional Blackstone standard (λ=10), the maximum acceptable risk is about 9%. This suggests common interrogation tactics may fall within acceptable bounds—but your conclusion depends on your assumptions and choice of λ.
Adjust Your Assumptions
λ represents how many guilty people going free equals the harm of one wrongful conviction.
What Your Choices Mean
With these assumptions, fewer than 1 in 100 confessions obtained using this tactic would be false and lead to wrongful conviction.
This is 8.1 percentage points below your chosen acceptability threshold of 9.1%.