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Lucy Letby Facts
Public commentary — summary
·Prof. Jane Hutton; University of Warwick

Prof. Jane Hutton — public commentary on the Letby shift-rota chart

A summary of Prof. Jane Hutton's public commentary on the Letby shift-rota chart. Hutton's operational analysis identifies four specific failures: the chart conflates rate and count; the denominator is wrong (all events vs selected subset); no null-hypothesis comparison; pattern-matching in retrospect against selected events cannot rule out chance or cluster-of-correlated-events. Her medical-statistics expertise brings operational precision to the statistical critique.

Last updated
10 min read

Licence: Publicly released

Original source: warwick.ac.uk

Mirrored on this site:

Publicly released material, attributed to its original publisher.

Context

Prof. Jane Hutton, Professor of Medical Statistics at the University of Warwick, has made detailed public commentary on the Letby shift-rota chart across 2023–2025. Her specific area — statistical evidence in medical-legal contexts — makes her analysis operationally precise in a way general-purpose statistical commentary sometimes is not.

The four specific failures Hutton identifies

  1. Rate vs count conflation. A nurse who works more shifts will be present at more events. The chart did not adjust for attendance rate.
  2. Wrong denominator. Should be all events on the unit; was selected-as-suspicious subset. Texas-sharpshooter problem in statistical-evidence form.
  3. No null-hypothesis comparison. Statistical inference requires comparison to a null model. Chart presented pattern without baseline comparison.
  4. Pattern-matching against selected subset. Cannot rule out chance or cluster-of-correlated-events explanations.

Why medical-statistics expertise matters

Medical-legal statistical cases require more than general statistical competence. They require understanding of clinical data generation, of institutional data handling, of how hospital records are structured, and of what medical decision-making can and cannot be inferred from recorded events. Hutton’s research track record is at this specific intersection.

Read alongside

Prof. Jane Hutton — biography, The Bayesian framework, The base-rate problem, Statistics deep-dive.

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Attribution and licence

Sourced from warwick.ac.uk . Mirrored on this site on 2026-04-22 with attribution to the original publisher.