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Interactive Analysis

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.

Based on Scott M. Mourtgos and Ian T. Adams, forthcoming at Journal of Criminal Justice

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.

Estimated Wrongful Conviction Risk
0.9%
With these assumptions, fewer than 1 in 100 confessions obtained using this tactic would be false and lead to wrongful conviction.
90% confidence interval: 0.7% – 1.2%
Within Acceptable Range
Your threshold (λ=10): 9.1%

Adjust Your Assumptions

95%
80% (more false confessions)99% (very reliable)
83%
50% (less effective)99% (highly effective)
85%
50% (risky for innocents)99% (protects innocents)
10

λ represents how many guilty people going free equals the harm of one wrongful conviction.

1Volokh (5)Blackstone (10)Fortescue (20)50
Presets from Literature

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%.

Low Est.
0.7%
Middle
0.9%
High Est.
1.2%
Interactive analysis by Ian T. Adams, Ph.D., University of South Carolina
All results are for educational purposes. Your assumptions significantly affect the outcomes.