Science
Criminal justice researchers use statistical modeling to examine wrongful-conviction risk
Publication: Phys.org - latest science and technology news stories
Author: Not available in collected metadata
Source published: 19/10/2026, 23:00:01 UTC
Briefing created: 19/10/2026, 23:11:12 UTC
Based on a feed excerpt; full article content has not been acquired. Source evidence retrieved 19/10/2026, 23:10:24 UTC.
Briefings
A University of Mississippi study published in the Journal of Criminal Justice found that the predicted likelihood of a false confession increases with the duration of police interrogation. Researchers Mary Catlin and Thomas Bryan Smith conducted a simulation study analyzing interrogation length as a risk factor for wrongful convictions.
Key points
- The study by Ole Miss professors Mary Catlin and Thomas Bryan Smith simulated how interrogation length affects false confession risk.
- The predicted likelihood of a false confession grows as the length of the police interrogation increases.
Context
This research addresses a long-standing debate in criminal justice about whether specific interrogation tactics can produce false confessions leading to wrongful convictions.
Limitations
The evidence is limited to a simulation study published in 2026, not empirical field data. The study does not specify the exact number of interrogation hours or the specific demographic groups analyzed.
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