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Sally Clark: Trial and error by Judge and Jury
Charles Feeny1, Carolina Stamboulid2
1Complete Counsel, Liverpool, United Kingdom.
Forensic Science International. Synergy
|July 6, 2026
Summary
The Sally Clark case highlights flaws in using statistical evidence in court. Misinterpreting probability in sudden infant death cases led to a miscarriage of justice, emphasizing the need for better expert evidence scrutiny.
Area of Science:
- Forensic Statistics
- Legal Procedure
- Criminal Justice
Background:
- The 1999 Sally Clark conviction for infant murder relied heavily on statistical evidence.
- Professor Sir Roy Meadow's estimate suggested a 1 in 73 million probability of two natural sudden infant deaths in one family.
Purpose of the Study:
- To examine methodological limitations in the statistical evidence used in the Sally Clark case.
- To analyze the broader implications for the admission and interpretation of expert evidence in criminal trials.
- To compare English court procedures with the Daubert standard in the United States.
Main Methods:
- Analysis of three key methodological limitations in the prosecution's statistical estimate.
- Examination of the evidential process concerning probabilistic evidence in the Clark trial.
- Review of English criminal court approaches to expert evidence and subsequent legal developments.
Main Results:
- The statistical estimate was methodologically flawed, distorting comparative inference and causal determination.
- Sudden Infant Death Syndrome (SIDS) as a diagnosis of exclusion limits the certainty of population frequency data.
- The probability estimate lacked context regarding competing explanations, diminishing its interpretive value.
Conclusions:
- The Sally Clark case exemplifies a miscarriage of justice due to flawed statistical evidence and its interpretation.
- English courts require improved frameworks for scrutinizing and contextualizing expert probabilistic evidence.
- Subsequent legal reforms and comparisons with the Daubert standard indicate ongoing challenges in managing expert evidence.
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