Recalibrating the risk of false confession wrongful convictions: interrogation tactics and inverse probability
False confession wrongful convictions (FCWCs) are a serious failure of the criminal justice system. Although scholars have identified interrogation tactics thought to elevate this risk, existing research rarely estimates the population-level probability that legally permissible methods will produce...
| Autores principales: | ; |
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| Tipo de documento: | Electrónico Artículo |
| Lenguaje: | Inglés |
| Publicado: |
2026
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| En: |
Journal of criminal justice
Año: 2026, Volumen: 103, Páginas: 1-12 |
| Acceso en línea: |
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| Verificar disponibilidad: | HBZ Gateway |
| Palabras clave: |
| Sumario: | False confession wrongful convictions (FCWCs) are a serious failure of the criminal justice system. Although scholars have identified interrogation tactics thought to elevate this risk, existing research rarely estimates the population-level probability that legally permissible methods will produce an FCWC. Instead, inference relies on outcome-selected case series and laboratory diagnosticity ratios that ignore base rates and the far larger universe of interrogations without false confessions. This article offers a methodological recalibration. We formalize the outcome-selection problem and apply inverse probability logic to derive posterior FCWC risk integrating base rates, sensitivity, and specificity. Using Monte Carlo simulation, we synthesize available empirical evidence across a wide parameter space. Across these specifications, median posterior estimates of the probability of a false confession wrongful conviction associated with lawful interrogation tactics cluster near 1 %. We conclude by introducing an Acceptability Curve that clarifies how normative judgments about tolerable error shape policy conclusions. |
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| Notas: | Literaturverzeichnis: Seite 11-12 |
| Descripción Física: | Illustrationen |
| ISSN: | 0047-2352 |
| DOI: | 10.1016/j.jcrimjus.2026.102600 |
