Letby investigation 'made just about every mistake in the book'
A LEADING statistician hired to calculate the odds of Letby being present at the baby deaths was ‘sacked’ when she refused. Cheshire Police contacted Professor Jane Hutton in April 2018 and asked her to calculate the likelihood of a single member of staff being on duty “during all the deaths/collapses” on the Countess of Chester...
- 1. A leading statistician was reportedly 'sacked' when she refused to calculate the odds of a single staff member being present during all baby deaths/collapses.
- 2. The statistician warned that a proper statistical investigation should examine all possible explanations, not focus on one individual.
- 3. Cheshire Police stated they 'strongly refute the allegations made and remain confident in the integrity of the investigation, the conduct of the prosecution, and the decisions reached by the courts.'
Article analysis
Skim this article about "Letby investigation 'made just about every mistake in the book'": 3 key takeaways and more.
Letby investigation 'made just about every mistake in the book'
skim AI Analysis | The Sun (UK)
The Sun (UK) on Letby investigation 'made just about every mistake in the book': skim's analysis surfaces 3 key takeaways. A statistician was reportedly dismissed for refusing to calculate odds of a nurse's presence at baby deaths. Read the takeaways in seconds, then decide whether the full article is worth your time.
Category: Current Events. News article analyzed by skim.
Summary
A statistician was reportedly dismissed for refusing to calculate odds of a nurse's presence at baby deaths. She claims the investigation made 'every mistake in the book.' Cheshire Police refute allegations and express confidence in their investigation.
Key Takeaways
- A leading statistician was reportedly 'sacked' when she refused to calculate the odds of a single staff member being present during all baby deaths/collapses.
- The statistician warned that a proper statistical investigation should examine all possible explanations, not focus on one individual.
- Cheshire Police stated they 'strongly refute the allegations made and remain confident in the integrity of the investigation, the conduct of the prosecution, and the decisions reached by the courts.'
Statement Breakdown
- Claimed Facts: 40% of statements the article presents as facts
- Opinions: 40% of statements classified as editorial or subjective
- Claims: 20% of statements surfaced for additional reader evaluation
Credibility & Bias Reasoning
Credibility assessment: The article presents claims from a statistician and a police spokesperson, but the police statement is a blanket refusal to comment. The article's framing and inclusion of other sensationalized headlines suggest a potential bias towards questioning the investigation's integrity.
Bias assessment: Investigative Skepticism. The article heavily emphasizes criticisms of the police investigation, particularly through the statistician's perspective. It highlights potential errors and suggests alternative explanations, framing the investigation as flawed.
Note: This article presents strong criticisms of a police investigation. Readers should be aware that these claims are largely based on the perspective of a statistician and are disputed by the police.
Credibility flag: Questionable Investigation Claims
Claimed Facts (6)
- This states a specific action taken by Cheshire Police at a particular time.
- This details a specific request made by a police officer.
- This asserts a contractual agreement was made, supported by evidence (emails).
- This describes a subsequent interaction between the police and the statistician.
- This states a factual outcome of the police's interaction with the statistician.
- This is a direct quote from a police spokesperson regarding their communication policy.
Opinions (6)
- This is a strong, subjective judgment about the quality of the investigation.
- This is a statement of belief and interpretation of evidence by the statistician.
- This is an interpretation and critique of how evidence was presented.
- This is an analogy used to illustrate a perceived flaw in the police's statistical approach.
- This is a subjective assessment of the magnitude of the alleged errors.
- This is a statement of the police's stance and belief regarding the investigation's validity.
Claims (6)
- This is an unverified claim from a mother, presented without supporting evidence within the article.
- This is a strong assertion about judicial proceedings without specific details or evidence presented.
- This uses sensational language ('bombshell') and makes a serious accusation about evidence without providing the email or specific contradiction.
- This is a vague claim about a 'damning verdict' and its impact, lacking specifics.
- This is an unsubstantiated claim from an anonymous 'whistleblower' suggesting a conspiracy.
- While an expert opinion, the framing and lack of detail about the 'expert' and the nature of the confessions make it lean towards a dubious claim without further context.
Key Sources
- Professor Jane Hutton — Statistician
- Cheshire Police — Law Enforcement Agency
This analysis was generated by skim (skim.plus), an AI-powered content analysis platform by Credible AI. Scores and classifications represent the platform's AI-generated assessment and should be considered alongside other sources.
skim analyzes recent The Sun (UK) coverage for what holds up, what reads as opinion, and what may not be fully supported. Last updated 21st September 2026.