From a correspondent

 I first became interested in the Lucy Letby (LL) case when my wife referred me to a 10 hour podcast entitled: “The Case of LL; The Facts – Crime Scene 2 Court Room”, Since, I have searched for further background to this case. Richard Gill’s website raises issues around imbalance between the prosecution and the defence, or lack of it! Also, there was toxic atmosphere at the Countess of Chester (CC) neonatal unit and LL reported problems. I worked for over 25 years anaesthetizing children down to 500g, in addition to adult anaesthesia, as well as expert witness experience. I also spent 6 months attached to a Neonatal Unit. The question of whether LL committed the alleged crimes is a difficult one to answer as (a) no one actually witnessed her doing the alleged crimes, (b) there is no obvious motive, (c) the actions would be very hard to achieve and (iv) there are other alternative explanations that were not explored by the court case, or at least the 10 hour transcript.

The Countess of Chester baby unit: The main purpose of the unit was a nursey to look after and feed babies too small and fragile to leave hospital, born at the CC. There was a small 4 bedded-neonatal unit in addition to the 4 nursery rooms. LL probably wanted to gain neonatal experience hence her involvement with the 17 cited cases.

Neonates and vulnerability: Small preterm babies easily deteriorate and die. Their organs are still developing and without the advent of neonatal units in the 1980s most would die. It is only today that a baby born prematurely before 28 to 32 weeks has a good chance of survival.

Staffing levels, staff experience and standard of care: LL was only 25 years old at the time and had only been a neonatal nurse for a few years. That is not very long and she lacked experience! She still needed further training in Liverpool to advance her career. Yet, she seemed to be one of the most senior neonatal nurses (band 5) on the unit and nowhere in the transcript do we find an older, more senior or experienced colleague other than a charge nurse who managed the duties and was not hands on. Similarly, it appears that medical cover was by paediatricians who also covered the wards and there was no doctor solely on duty for the unit. Therefore, when compared to other bigger units (i.e. Alder-Hey) the level of care was limited, so it would not be surprising if a baby deteriorates, and that happens with “prems”, outcomes are not as good. So, the evidence suggests that the CC was not up to standard, and it was an overflow unit for Alder-Hey. The CC neonatal unit has since been closed down. So were the cited incidents and deaths really due to LL or a result of a poorly supported / under-funded unit looking after sick neonates that should have been elsewhere?

The prosecution case focused on a number of methods of harming babies allegedly used by LL: (i) Distending the stomach by giving too much feed or (ii) injecting air into the stomach, (iii) injecting air into the circulation causing sudden collapse, (iv) traumatising the airway and causing bleeding, (v) dislodged tracheal and chest tubes, and (vi) adding insulin to the intravenous feed. The discussion of the pathophysiology of these mechanisms was disjointed and difficult to follow. However, the connection of LL to the sudden deteriorations and deaths in 7 seemed very compelling. However, I have to take issue with a number of the prosecution’s assertions.

(i) Over-distending the stomach with feed to an extent to cause collapse and projectile vomiting. I don’t have any experience of tube feeding prems, but projectile vomiting can be a reaction to bad / infected milk? Was LL in hurry to feed the baby? I find it hard to believe this was an attempt at murder.

(ii) Most obvious was the air in the stomach and intestines at post mortem. LL must have injected air via the gastric feeding tube, or how else did it get there? Well anyone who works in theatre or resuscitation knows during mask ventilation, which all these babies had (i.e. Neopuff), that it is very easy to blow up the stomach and intestines with air / anaesthetic gases, especially if one’s technique is not perfect. I regularly had to pass a suction catheter to empty the stomach of gas at the start of surgery to deflate the stomach and improve ventilation. I even did a study on the carbon dioxide levels that often reached the level of expired gas. However, the role of the Neopuff as a potential cause was never mentioned. So what is more likely, LL injected the air or the air got there through resuscitative efforts by stressed staff.

(iii) Some of the babies suddenly collapsed and developed a strange rash on the abdomen. Some recovered rapidly. This was said to be due to LL injecting air into the circulation. Air was found to be in the blood vessels at post mortem in some deaths. The premature baby can revert to a foetal circulation (by passing the lungs) when they become unstable and this can take time to treat (revert back). Sometimes “persistent foetal circulation” manifests itself during anaesthesia until the ductus closes fully. Point not mentioned in the case but could explain the above. Also, chest compression would cause significant sucking in of air to the heart if intravenous access lines were left open to air during the resuscitation after injecting a drug (adrenaline). LL sent a Datex about a line being left uncapped by one of the doctors. So there are other explanations and mechanisms by which air could have entered the circulation.

(iv) One of the cases had trauma to oral airway and significant blood loss, I think this was one of the twins with Haemophilia, a blood clotting disorder. LL was accused of traumatising the airway. I cannot imagine how. The likely explanation would be repeated intubation attempts, not an attempt to murder the baby by LL. I recall up to seven attempts as the neonate was difficult to intubate!

(v) LL was also accused of dislodging an endotracheal tube and a chest drain which lead to deterioration in two patients. Preterm babies are very small, endotracheal tubes can easily move and become dislodged however carefully one secures them, particularly if the neck is flexed or extended! Similarly, with chest drains, the baby had bilateral drain presumably as a result of premature lungs, and one drain became dislodged / was not working and a third drain was needed. These things happen so just because LL was present does not automatically mean it was her fault. Then there was the incident with deliberate liver injury, which equally could have occurred during chest compressions by someone else?

(vi) The addition of insulin to intravenous feeds has already been mentioned by Gill from a biochemistry and reliability of blood test perspective. I don’t fully understand this one. One baby was receiving regular intravenous nutrition made up in sealed bags from pharmacy. The baby had unexplained hypoglycaemia. For three bags it persisted and when LL was not on duty the hypoglycaemia resolved. Blood were analysed insulin and C peptide. Hypoglycaemia is common in preterm babies because their mechanisms to maintain blood glucose levels are immature (i.e. glycogen stores in the liver). The child may have had an infection as Gill says there was virus circulating. That being said it difficult to image how LL managed to injected the correct and same amount of insulin into a sealed bag on three separate occasions. There is a rigid nursing protocol involving two nurses when a new bag is put up to maintain sterility. Then there was a further insulin contaminated Dextrose infusion in a second baby. BTW, LL was not the only nurse present for both these cases.

Hence, I find it very difficult to accept the verdict that Lucy Letby was responsible for all 7 deaths and a further 6 attempts at murder. I think that her case needs to be reviewed by someone with a better understanding of neonatal medicine and how a premature baby unit is run.

Signed Lester; 20.10.2023

Letter to the BMJ

Rapid response to:

John Launer: Thinking the unthinkable on Lucy Letby

BMJ 2023; 382 doi:, published 26 September 2023, cite as: BMJ 2023;382:p2197

Dear Editor

I am a coauthor of the report of the Royal Statistical Society It is deeply distressing that the police investigation into the case of Lucy Letby and the subsequent trial made all of the mistakes in our book. The jury was never told how the police investigation arrived at that list of “suspicious” events and how it was further narrowed down to the list of charges. This is a case in which a target was painted around a suspect by investigators. We call it confirmation bias, in statistics. It is also often referred to as the Texas sharpshooter paradox.

Thanks to amateurs who report their work on Twitter and YouTube, we now know how the list of charges in the Lucy Letby case evolved. It is utterly scandalous that this history was not revealed to the court. Here is the broad picture. 

Doctors reported Lucy to the police, against the wishes of the hospital board.

They told the police the exact period she had been on the ward and gave them the files on all deaths in that period and on some of the incidents: namely, exactly and only those “arrests” at which Lucy had been present.

What qualifies as an incident, what is an arrest?

There is no medical category “arrest, resuscitation” under which such events are logged in hospital administration. Probably there were about five times as many such events when Lucy was not on duty, but nobody has ever looked. There is no medical definition of such an event. No formal criteria.

“Unexpected, unexplained, sudden” are also not defined in any formal way. Nor is “stable”.

Next the absolutely unqualified, long retired, paediatrician Dewi Evans, who has a business helping out in civil child custody cases, went through those medical files looking for anomalies about which he could fantasise a murder or murder attack. His ideas that milk was injected into the stomach or air into the veins were far fetched, and later not confirmed by any other evidence. On the contrary, the actual evidence certainly contradicts the idea that Lucy Letby actually attacked any child. He never gave alternative medical explanations, as would have been the obligation of a forensic scientist. All the deaths had had a post-mortem and a coroner’s report. Every single event on the charge sheet has absolutely normal explanation. Lucy was never seen doing anything wrong.

The medical experts for the prosecution merely confirmed Evans’ diagnosis, they also did not do the job of a forensic scientist.

The defence had no experts. They had brought in one paediatrician. But at the pre-trial hearing he said he wasn’t qualified in endocrinology, toxicology, etc etc etc. 

This was Texas sharpshooter, big time. Plus utterly incompetent defence. 

Richard Gill

Member of Royal Dutch Academy of Sciences

Past president of Dutch statistical society.

The Lucy Letby case

Note: [20 August 2023] This post is incomplete. It needs a prequel: the history of medical investigations into two “unexplained clusters” of deaths at the neonatal ward of the Countess of Chester Hospital. It needs many sequels: statistical evidence; how the cases were selected (the Texas sharpshooter paradox) and the origin of suspicions that a particular nurse might be a serial killer; the post-it note; the alleged insulin poisonings; the trouble with sewage backflow and the evidence of the plumber; the euthanasias. For the medical material, the site to visit is the magnificent

Lucy Letby, a young nurse, has been tried at Manchester Crown Court for 7 murders and 15 murder attempts on 17 newborn children in the neonatal ward at Countess of Chester Hospital, Chester, UK, in 2015 and 2016.

She was found:– Guilty of 7 counts of murder (against 7 babies)
– Guilty of 7 counts of attempted murder (against 6 babies)
– Not guilty on 2 counts of attempted murder (against 2 of the 6 babies she *was* found guilty of attempting to murder). No decision was reached on 6 counts of attempted murder against 6 different babies. However, 2 of those 6 she was also found guilty of a different count of attempted murder. [Thanks to the commenter who corrected my numbers.]

The prosecution dropped one further murder charge just before the trial started, on the instruction of the judge. Several groups of alleged murders and murder attempts concern the same child, or twin or triplet siblings. All but one child was born pre-term. Several of them, extremely pre-term.

I’m not saying that I know that Lucy Letby is innocent. As a scientist, I am saying that this case is a major miscarriage of justice. Lucy did not have a fair trial. The similarities with the famous case of Lucia de Berk in the Netherlands are deeply disturbing.

The image below summarizes findings concerning the medical evidence. This was not my research. The graphic was given to me by a person who wishes to remain anonymous, in order to disseminate the research now fully documented on, whose author and owner wishes to remain anonymous. Note that the defence has not called any expert witnesses at all (except for one person: the plumber). Possibly, they had not enough funds for this. Crowd-sourcing might be a smart way of getting the necessary work done for free, to be used at a subsequent appeal. That’s a dangerous tactic, and it seems to me that the defence has already taken a foolish step: they admitted that two babies received unauthorised doses of insulin, and their client was obliged to believe that too.

This blog post started in May 2023 as a first attempt by myself to blog about a case which I have been following for a long time. The information I report here was uncovered by others and is discussed on various internet fora. Links and sources are given below, some lead to yet more excellent sources. Everything here was communicated to the defence, but they declined to use it in court. Maybe they felt their hands were bound by pre-trial agreement between the trial parties as to what evidence would be brought to the attention of the jury, which witnesses, etc.

An extraordinary feature of UK criminal prosecution law is that if exculpatory evidence is in the possession of the defence, but not used in court, then it should not be used at a subsequent appeal, whether by the same defence team or a new one. This might explain why the defence team would not even inform their client of their knowledge of the existence of evidence which exonerated her. Even though, it is also against the law that they did not, as far as we know, disclose evidence which they had which was in her favour. The UK law on criminal court procedure is case law. New judges can always decide to depart from past judges’ rulings.

A very important issue is that the rules of use of expert evidence is that all expert evidence must be introduced before the trial starts. It is strictly forbidden to introduce new expert evidence once the trial is underway.

UK criminal trials are tightly scripted theatre. The jury is of course incommunicado, very close to its verdict, and I do not aim to influence the jury or their verdict. I aim to stimulate discussion of the case in advance of a likely appeal against a likely guilty verdict. I wish to support that small part of the UK population who are deeply concerned that this trial is going to end in an unjustified guilty verdict. Probably it will, but that will not be the end. So much information has come out in the 9 months of the trial so far, that a serious fight on behalf of Lucy Letby is now possible. Public opinion crystallised long ago against Lucy. It can be made fluid again, and maybe it can even be reversed, and this is what must happen if she is to get a fair re-trial.

As a concerned scientist who perceives a miscarriage of justice in the making, I attempted to communicate information not only to the defence but also to the prosecution, to the judge (via the clerk of the court), and to the Director of Public Prosecutions. That was a Kafkaesque experience which I will write about on another occasion. Personally, I tend to think that Lucy is innocent. That was however not my reason for attempting to contact the authorities. As a scientist, it was manifestly clear to me that she was not getting a fair trial. Science was being abused. I tried to communicate with the appropriate authorities. I failed to get any response. Therefore I had to “go public”.

Here is a short list of key medical/scientific issues, originally copied from an early version of the incredible and amazing website, with occasional slight rephrasing and some small, hopefully correct, additions by myself. That site presents full scientific documentation and argumentation for all of the claims made there.

  1. Air embolism cannot be determined by imaging, and can only be determined soon after death, and requires the extraction of air from the circulatory system, and analysis of the composition of the air using gas chromatography.
  2. The coroner found a cause of death in 5 out of 7 of the alleged murder cases. Two of them appeared to be, in part, related to aggressive CPR, two appeared to be due to undiagnosed hypoxic-ischemic encephalopathy and myocarditis, one of the infants received no autopsy, and the other infant was determined to have died due to prematurity. It is highly unusual for the cause of death to be altered years after the fact and using methodology that is not supported by the coroner’s office.
  3. The two claims of insulin poisoning are not supported by the testing conducted, and the infants (who are still alive and well) did not have dangerously low or dangerously high blood glucose levels for any period of time. There are many physiological reasons that could explain their low blood glucose during the whole period. In one of the two cases, assumptions are being made on the basis of one test taken at a single time point, clearly inconsistent with the other medical readings, and contravening the manufacturer’s own instructions for use (see image below). The report detailing the conclusions from that single test violates the code of practice of the forensic science regulator. Moreover, it appears that some numerical error has been made in the necessary calculation, resulting in an outcome which is physiologically impossible (or the person responsible did not know about the so-called “hook effect”). The mismatch between C-peptide and insulin concentration does not prove that the excess insulin found must have been synthetic insulin. There are many other biological explanations for a mismatch. No testing was done to determine the origin of the insulin. Similarly, there are many innocent explanations for the detection of some insulin in a feeding bag.
  4. The air embolism hypothesis is confusing because it fails to explain why some children apparently perished and others did not, and it has not been supported by the minimal necessary measurements.
  5. In at least one case, Lucy is blamed with causing white matter brain injury. This claim is utterly dishonest. The infant who experienced this brain injury was born at 23 weeks gestation, and white matter brain injury is associated with such early births. Further, there is sufficient evidence that demonstrates that enterovirus and parechovirus infection has been linked to white matter brain injury in neonates, resulting in cerebral palsy.
  6. At the time of the collapses and deaths of the infants, enterovirus and parechovirus had been reported in other hospitals. There is a history of outbreaks of these viruses in neonatal wards in hospitals around the world. They especially harm preterm infants who do not yet have a functioning immune system. It is reported that many parents of the infants were concerned that their ward had a virus (as was Lucy) and that Dr Gibbs denied this was so. To date we have seen no evidence to show they did any viral testing, and if they did what the results were.

Then a fact pertaining to my own scientific competence.

Both prosecution and defence were warned long ago about the statistical issues in such cases. Both have responded that they are not going to use any statistics. They are also not using the services of any statistician. Seems the RSS report has had the opposite effect to that intended. Amusingly, the same thing happened in the case of Lucia de Berk. At the appeal the prosecution stopped using statistics. She was convicted solely on the grounds of “irrefutable medical scientific evidence”. (Here, I’m quoting from the words both spoken by the judges and written down on the first page of their > 100 page report of the reasons and reasoning which had led to their unshakable conviction that Lucia de Berk was guilty. The longest judge’s summing up in Dutch legal history). I was one of the five coauthors of the RSS report. We were a “task force”, formally commissioned by the “Statistics and the Law” section of the society. I consider it the most important scientific work of my career. It took us two years to put together. We started the work in 2020; we had seen the Lucy Letby trial on the horizon since 2017 when police investigations started and the suspect being investigated was already common knowledge.

The UK does not have anything like that because a jury of ordinary folk are the ones who (legally) determine guilt or innocence. This is a clever device which makes fighting a conviction very difficult; no one can know what arguments the jury had in their mind, no one knows what, if anything, was the key fact that convinced them of guilt. Ordinary people are convinced by what seems to be a smoking gun, they then see all the other evidence through a filter. This is called “confirmation bias”. In the Lucy Letby case, the smoking gun was probably the post-it note, and the insulin then seems to clinch the matter. The prosecution cross-examination convinces those who already believe Lucy is guilty that she moreover is constantly lying. More on all this in later posts, I hope.

Back to the insulin. Here are the instructions on the insulin testing kit used for the trial, taken from this website, the actual file is Notice the warning printed in red. Yes, it was printed in red, that was not something I changed later. (All this is not my discovery; the person who uncovered these facts wishes to remain anonymous).

The toxicological evidence used in the trial violates the code of practice of the UK’s Forensic Science Regulator (see link below). It should have been deemed inadmissible. Instead, the defence has not disputed it, and thereby obliged their own client Lucy to agree that there must have been a killer on the ward. The jury are instructed to believe that two babies were given insulin without authorization, endangering their lives. (The two babies in question are still very much alive, to this day. Probably now at primary school.)

The defence stated to me that they cannot inform Lucy of the alternative analysis of the insulin question. It appears to me that this violates their own code of practice. Do they feel bound by the weird rules of UK’s criminal prosecution practice? Their client, Lucy Letby, is herself essentially merely a piece of evidence, seized by the police from what they believe is a scene of crime. No one may tamper with it during the duration of her own trial, which is lasting 10 months! I think this constitutes an appalling violation of basic human rights. The UK laws on contempt of court are meant to guarantee a fair trial. But in the case of a 10-month trial on 22 charges of murder and attempted murder, they are guaranteeing an unfair trial.

Lucy’s solicitor refused to pass on a friendly personal letter of support to Lucy or to her parents because she had not instructed him to do so. Should one laugh or cry about that excuse? I have the impression that he is not very bright and that he may have been convinced she is guilty. If so, I hope he is changing his mind. In the UK, the solicitor does all the legwork and communication between the client and the defence team. The barrister does the cross-examinations and the court theatrics, but probably never builds up a personal relationship with his client. Lucy has been all this time prison, in pre-trial detention, far from Manchester or Hereford. This might explain the extraordinarily weak defence which has been put up so far. But it might be deliberate.

One must take into account the fact that funding for legal support is meagre. The prosecution has been working on the case for 6 or so years, with unlimited resources. The defence has had a relatively very short time, with very limited resources. Probably the solicitor and the barrister already put in many more hours than they are paid for. There are no funds for expensive scientific witnesses. It is very possible that the defence team well understands that they cannot put up a serious defence during the 9 to 10 months of the trial, but that precisely this time period, with a huge number of revelations being made outside the trial, material for a serious defence during an appeal has been “crowd-sourced”. It seems to me that this mass of high-quality independent scientific work provides plenty of grounds for an appeal, in the case that the jury hands down a guilty verdict.

Some links:

Sarrita Adams’ Science on Trial website


Scott McLachlan’s Law Health and Tech blog

LL Part 0: Scepticism in Action: Reflections on evidence presented in the Lucy Letby trial.

LL Part 1: Hospital Wastewater

LL Part 2: An ‘Association’

LL Part 3: Death already lived in the NICU Environment,

LL Part 4: Outbreak in a New NICU: Build it and the pathogens will come…

LL Part 5: The Demise of Child A

LL Part 6: The Incredible Dr Dewi Evans

LL Part 7: The Demise of Child C.

LL Part 8: The Death of Child D. Had she been left or resumed on CPAP, she might still be alive today.

Peter Elston’s “Chimpinvestor” blog

Do Statistics Prove Accused Nurse Lucy Letby Innocent? This splendid and comprehensive blog post also has a large list of links to reports and data sets. Yet more data analysis can and should be done. This site gives anyone who wants to a quick-start. And after that, two more outstanding posts…

Data obtained from FOI requests

FOI requests provided some fantastic data sets see especially×1.xlsx?cookie_passthrough=1

How forensic science should be reported in court

Forensic Science Regulator: statutory code of practice

One of numerous enterovirus and parechovirus epidemics in neonatal wards

Cluster of human parechovirus infections as the predominant cause of sepsis in neonates and infants, Leicester, United Kingdom, 8 May to 2 August 2016

Someone commissioned a pretrial statistical and risk analysis – results not used in the trial

Lucy Letby Trial, Statistical and Risk Analysis Expert Input. Who commissioned this analysis, and what did it yield? (I can give you the answer after the verdict has come out).

The RSS (statistics and law section) report – not used in the trial

Royal Statistical Society: “Healthcare serial killer or coincidence?
Statistical issues in investigation of suspected medical misconduct” by the RSS Statistics and the Law Section, September 2022

At a pre-publication meeting of stake-holders held to gain feedback on our report, a senior West Midlands police inspector told me “we are not using statistics because they only make people confused”. Lucy’s sollicitor and barrister knew well in advance of our report, were even given names of excellent UK experts whom they could consult, but did not bother to contact one of them. No statistics in our courts please, we are British! Yet the UK has the best applied statisticians and epidemiologists in the world.

Article in “Science” about my work on serial killer nurses

Unlucky Numbers: Richard Gill is fighting the shoddy statistics that put nurses in prison for serial murder. Science, Vol 379, Issue 6629, 2022.

Two subreddits on the Lucy Letby case (the Lucy Letby Science subreddit) (general)

Medical Ethics

John Gibbs, recently retired Consultant Paediatrician at the Countess of Chester
Hospital, defined Medical Ethics as “Playing God with Life and Death decisions.”
See article “Medical Ethics” on page 6 of The Messenger, Monthly Newsletter of St Michael’s, Plas Newton, Chester) – reporting on talk by Dr John Gibbs, retiring paediatrician at CoCH. Audio:

The state of forensic science in the UK “The UK’s forensic science used to be considered the gold standard, but no longer. The risk of miscarriages of justice is growing. And now a new Westminster Commission is trying to find out what went wrong. Joshua talks to its co-chair, leading forensic scientist Dr Angela Gallop CBE, and to criminal defence barrister Katy Thorne KC.”

Criminal Procedure Rules and Criminal Practice Directions

Revised rules came out earlier this year, so maybe they do not apply to a trial which started earlier. Still, they express what the Lord Chief Justice of England and Wales presently wants to promote. . See especially Section 7 of his “Criminal Practice Directions (2023)”

New expert evidence cannot be admitted once a trial is in progress

“The courts have indicated that they are prepared to refuse leave to the Defence to call expert evidence where they have failed to comply with CrimPR; for example by serving reports late in the proceedings, which raise new issues (Writtle v DPP [2009] EWHC 236). See also: R v Ensor [2010] 1 Cr. App. R.18 and Reed, Reed & Garmson[2009] EWCA Crim. 2698″. This quote comes from Note, a judge is always allowed to break with precedence. The rule is not actually a permanent rule, it is merely a description of current practice. Current practice evolves when and if a new judge sees fit to break with precedence. Obviously, he would have to come up with good legal reasons why he believes he has to do that. It’s his prerogative, his free choice. That’s the essence of case law, aka common law.

BOAS, Breed, CFR

Relationship between incidence of breathing obstruction and degree of muzzle shortness in pedigree dogs

The little dog in front of van Eyck’s Arnolfini’s is a “Griffon Bruxellois”.
[Arnolfini Portrait. (2022, July 27). In Wikipedia.

This blog post is the result of rapid conversion from a preprint, typeset with LaTeX, posted on as, and submitted to the journal PLoS ONE. I used pandoc to convert LaTeX to Word, then simply copy-pasted the content of the Word document into WordPress. After that, a few mathematical symbols and the numerical contents of the tables needed to be fixed by hand. I have now given up on PLoS ONE and posted an official report on Zenodo: I am soliciting post publication peer reviews on PubPeer:


There has been much concern about health issues associated with the breeding of short-muzzled pedigree dogs. The Dutch government commissioned a scientific report Fokken met Kortsnuitige Honden (Breeding of short-muzzled dogs), van Hagen (2019), and based on it rather stringent legislation, restricting breeding primarily on the basis of a single simple measurement of brachycephaly, the CFR: cranial-facial ratio. Van Hagen’s work is a literature study and it draws heavily on statistical results obtained in three publications: Njikam (2009), Packer et al. (2015), and Liu et al. (2017). In this paper, I discuss some serious shortcomings of those three studies and in particular, show that Packer et al. have drawn unwarranted conclusions from their study. In fact, new analyses using their data lead to an entirely different conclusion.


The present work was commissioned by “Stichting Ras en Recht” (SRR; Foundation Justice for Pedigree dogs) and focuses on the statistical research results of earlier papers summarized in the literature study Fokken met Kortsnuitige Honden (Breeding of short-muzzled – brachycephalic – dogs) by dr M. van Hagen (2019). That report is the final outcome of a study commissioned by the Netherlands Ministry of Agriculture, Nature, and Food Quality. It was used by the ministry to justify legislation restricting breeding of animals with extreme brachycephaly as measured by a low CFR, cranial-facial ratio.

An important part of van Hagen’s report is based on statistical analyses in three key papers: Njikam et al. (2009), Packer et al. (2015), and Liu et al. (2017). Notice: the paper Packer et al. (2015) reports results from two separate studies, called by the authors Study 1 and Study 2. The data analysed in Packer et al. (2015) study 1 was previously collected and analysed for other purposes in an earlier paper Packer et al. (2013) which does not need to be discussed here.

In this paper, I will focus on these statistical issues. My conclusion is the cited papers have many serious statistical shortcomings, which were not recognised by van Hagen (2019). In fact, a reanalysis of the Study 2 data investigated in Packer et al. (2015) leads to conclusions completely opposite to those drawn by Packer et al., and completely opposite to the conclusions drawn by van Hagen. I come to the conclusion that the Packer et al. study 2 badly needs updating with a much larger replication study.

A very important question is just how generalisable are the results of those papers. There is no word on that issue in van Hagen (2019). I will start by discussing the paper which is most relevant to our question: Packer et al. (2015).

An important preparatory remark should be made concerning the term “BOAS”, brachycephalic obstructive airway syndrome. It is a syndrome, which means: a name for some associated characteristics. “Obstructed airways” means: difficulty in breathing. “Brachycephalic” means: having a (relatively) short muzzle. Having difficulty in breathing is a symptom sometimes caused by having obstructed airways; it is certainly the case that the medical condition is often associated with having a short muzzle. That does not mean that having a short muzzle causes the medical condition. In the past, dog breeders have selected dogs with a view to accentuating certain features, such as a short muzzle: unfortunately, at the same time, they have sometimes selected dogs with other, less favourable characteristics at the same time. The two features of dogs’ anatomies are associated, but one is not the cause of the other. “BOAS” really means: having obstructed airways and a short muzzle.

Packer et al. (2015): an exploratory and flawed paper

Packer et al. (2015) reports findings from two studies. The sample for the first study, “Study 1”, 700 animals, consisted of almost all dogs referred to the Royal Veterinary College Small Animal Referral Hospital (RVC-SAH) in a certain period in 2012. Exclusions were based on a small list of sensible criteria such as the dog being too sick to be moved or too aggressive to be handled. However, this is not the end of the story. In the next stage, those dogs who actually were diagnosed to have BOAS (brachycephalic obstructive airway syndrome) were singled out, together with all dogs whose owners reported respiratory difficulties, except when such difficulties could be explained by respiratory or cardiac disorders. This resulted in a small group of only 70 dogs considered by the researchers to have BOAS, and it involved dogs of 12 breeds only. Finally, all the other dogs of those breeds were added to the 70, ending up with 152 dogs of 13 (!) breeds. (The paper contains many other instances of carelessness).

To continue with the Packer et al. (2015) Study 1 reduced sample of 152 dogs, this sample is a sample of dogs with health problems so serious that they are referred to a specialist veterinary hospital. One might find a relation between BOAS and CFR (craniofacial ratio) in that special population which is not the same as the relation in general. Moreover, the overall risk of BOAS in this special population is by its construction higher than in general. Breeders of pedigree dogs generally exclude already sick dogs from their breeding programmes.

That first study was justly characterised by the authors as exploratory. They had originally used the big sample of 700 dogs for a quite different investigation, Packer et al. (2013). It is exploratory in the sense that they investigated a number of possible risk factors for BOAS besides CFR, and actually used the study to choose CFR as appearing to be the most influential risk factor, when each is taken on its own, according to a certain statistical analysis method, in which already a large number of prior assumptions had been built in. As I will repeat a few more times, the sample is too small to check those assumptions. I do not know if they also tried various simple transformations of the risk factors. Who knows, maybe the logarithm of a different variable would have done better than CFR.

In the second study (“Study 2”), they sampled anew, this time recruiting animals directly mainly from breeders but also from general practice. A critical selection criterium was a CFR smaller than 0.5, that number being the biggest CFR of a dog with BOAS from Study 1. They especially targeted breeders of breeds with low CFR, especially those which had been poorly represented in the first study. Apparently, the Affenpinscher and Griffon Bruxellois are not often so sick that they get referred to the RVC-SAH; of the 700 dogs entering Study 1, there was, for instance, just 1 Affenpinscher and only 2 Griffon Bruxellois. Of course, these are also relatively rare breeds. Anyway, in Study 2, those numbers became 31 and 20. So: the second study population is not so badly biased towards sick animals as the first. Unfortunately, the sample is much, much smaller, and per breed, very small indeed, despite the augmentation of rarer breeds.

Figure 1: Figure 2 from Packer et al. (2015). Predicted probability of brachycephalic dog breeds being affected by brachycephalic obstructive airway syndrome (BOAS) across relevant craniofacial ratio (CFR) and neck girth ranges. The risks across the CFR spectrum are calculated by breed using GLMM equations based on (a) Study 1 referral population data and (b) Study 2 non-referral population data. For each breed, the estimates are only plotted within the CFR ranges observed in the study populations. Dotted lines show breeds represented by <10 individuals. The breed mean neck girth is used for each breed (as stated in Table 2). In (b), the body condition score (BCS) = 5 (ideal bodyweight) and neuter status = neutered

Now it is important to turn to technical comments concerning what perhaps seems to speak most clearly to the non-statistically schooled reader, namely, Figure 2 of Packer et al., which I reproduce here, together with the figure’s original caption.

In the abstract of their paper, they write “we show […] that BOAS risk increases sharply in a non-linear manner”. They do no such thing! They assume that the log odds of BOAS risk , that is: log(p/(1 – p)), depends exactly linearly on CFR and moreover with the same slope for all breeds. The small size of these studies forced them to make such an assumption. It is a conventional “convenience” assumption. Indeed, this is an exploratory analysis, moreover, the authors’ declared aim was to come up with a single risk factor for BOAS. They were forced to extrapolate from breeds which are represented in larger numbers to breeds of which they had seen many less animals. They use the whole sample to estimate just one number, namely the slope of log(p/(1 – p)) as an assumed linear function of CFR. Each small group of animals of each breed then moves that linear function up or down, which corresponds to moving the curves to the right or to the left. Those are not findings of the paper. They are conventional model assumptions imposed by the authors from the start for statistical convenience and statistical necessity and completely in tune with their motivations.

One indeed sees in the graphs that all those beautiful curves are essentially segments of the same curve, shifted horizontally. This has not been shown in the paper to be true. It was assumed by the authors of the paper to be true. Apparently, that assumption worked better for CFR than for the other possible criteria which they considered: that was demonstrated by the exploratory (the author’s own characterisation!) Study 1. When one goes from Study 1 to Study 2, the curves shift a bit: it is definitely a different population now.

There are strange features in the colour codes. Breeds which should be there are missing, and breeds which shouldn’t be there are. The authors have exchanged graphs (a) and (b)! This can be seen by comparing the minimum and maximum predicted risks from their Table 2.

Notice that these curves represent predictions for neutered dogs with breed mean neck girth, breed ideal body condition score (breed ideal body weight). I don’t know whose definition of ideal is being used here. The graphs are not graphs of probabilities for dog breeds, but model predictions for particular classes of dogs of various breeds. They depend strongly on whether or not the model assumptions are correct. The authors did not (and could not) check the model assumptions: the sample sizes are much too small.

By the way, breeders’ dogs are generally not neutered. Still, one-third of the dogs in the sample were neutered, so the “baseline” does represent a lot of animals. Notice that there is no indication whatsoever of statistical uncertainty in those graphics. The authors apparently did not find it necessary to add error bars or confidence bands to their plots. Had they done so, the pictures would have given a very, very different impression.

In their discussion, the authors write “Our results confirm that brachycephaly is a risk factor for BOAS and for the first time quantitatively demonstrate that more extreme brachycephalic conformations are at higher risk of BOAS than more moderate morphologies; BOAS risk increases sharply in a non-linear manner as relative muzzle length shortens”. I disagree strongly with their appraisal. The vaunted non-linearity was just a conventional and convenience (untested) assumption of linearity in the much more sensible log-odds scale. They did not test this assumption and most importantly, they did not test whether it held for each breed considered separately. They could not do that, because both of their studies were much, much too small. Notice that they themselves write, “we found some exceptional individuals that were unaffected by BOAS despite extreme brachycephaly” and it is clear that these exceptions were found in specific breeds. But they do not tell us which.

They also tell us that other predictors are important next to CFR. Once CFR and breed have been taken into account (in the way that they take it into account!), neck girth (NG) becomes very important.

They also write, “if society wanted to eliminate BOAS from the domestic dog population entirely then based on these data a quantitative limit of CFR no less than 0.5 would need to be imposed”. They point out that it is unlikely that society would accept this, and moreover, it would destroy many breeds which do not have problems with BOAS at all! They mention, “several approaches could be used towards breeding towards more moderate, lower-risk morphologies, each of which may have strengths and weaknesses and may be differentially supported by stakeholders involved in this issue”.

This paper definitely does not support imposing a single simple criterion for all dog breeds, much as its authors might have initially hoped that CFR could supply such a criterion.

In a separate section, I will test their model assumptions, and investigate the statistical reliability of their findings.

Liu et al. (2017): an excellent study, but of only three breeds

Now I turn to the other key paper, Liu et al. (2017). In this 8-author paper, the last and senior author, Jane Ladlow, is a very well-known authority in the field. This paper is based on a study involving 604 dogs of only three breeds, and those are the three breeds which are already known to be most severely affected by BOAS: bulldogs, French bulldogs, and pugs. They use a similar statistical methodology to Packer et al., but now they allow each breed to have a different shaped dependence on CFR. Interestingly, the effects of CFR on BOAS risk for pugs, bulldogs and French bulldogs are not statistically significant. Whether or not they are the same across those three breeds becomes, from the statistical point of view, an academic question.

The statistical competence and sophistication of this group of authors can be seen at a glance to be immeasurably higher than that of the group of authors of Packer et al. They do include indications of statistical uncertainty in their graphical illustrations. They state, “in our study with large numbers of dogs of the three breeds, we obtained supportive data on NGR (neck girth ratio: neck girth/chest girth), but only a weak association of BOAS status with CFR in a single breed.” Of course, part of that could be due to the fact that, in their study, CFR did not vary much within each of those three breeds, as they themselves point out. I did not yet re-analyse their data to check this. CFR was certainly highly variable in these three breeds in both of Packer et al.’s studies, see the figures above, and again in Liu et al. as is apparent from my Figure 2 below. But Liu et al. also point out that anyway, “anatomically, the CFR measurement cannot determine the main internal BOAS lesions along the upper airway”.

Another of their concluding remarks is the rather interesting “overall, the conformational and external factors as measured here contribute less than 50% of the variance that is seen in BOAS”. In other words, BOAS is not very well predicted by these shape factors. They conclude, “breeding toward [my emphasis] extreme brachycephalic features should be strictly avoided”. I should hope that nowadays, no recognised breeders deliberately try to make known risk features even more pronounced.

Liu et al. studied only bulldogs, French bulldogs and pugs. The CFRs of these breeds do show within breed statistical variation. The study showed that a different anatomical measure was an excellent predictor of BOAS. Liu et al. moreover explain anatomically and medically why one should not expect CFR to be relevant for the health problems of those races of dogs.

It is absolutely not true that almost all of the animals in that study have BOAS. The study does not investigate BOS. The study was set up in order to investigate the exploratory findings and hypotheses of Packer et al. and it rejects them, as far as the three races they considered were concerned. Packer et al. hoped to find a simple relationship between CFR and BOAS for all brachycephalic dogs but their two studies are both much too small to verify their assumptions. Liu et al. show that for the three races studied, the relationship between measurements of body structure and ill health associated with them, varies between races.

Figure 2: Supplementary material Fig S1 from Liu et al. (2017.) Boxplots show the distribution of the five conformation ratios against BOAS functional grades. The x-axis is BOAS functional grade; the y-axis is the ratios in percentage. CFR, craniofacial ratio; EWR, eye with ratio; SI, skull index; NGR, neck girth ratio; NLR, neck length ratio.

In contradiction to the opinion of van Hagen (2019), there are no “contradictions” between the studies of Packer et al. and Liu et al. The first comes up with some guesses, based on tiny samples from each breed. The second investigates those guesses but discovers that they are wrong for the three races most afflicted with BOAS. Study 1 of Packer et al. is a study of sick animals, but Study 2 is a study of animals from the general population. Liu et al. is a study of animals from the general population. (To complicate matters, Njikam et al., Packer et al. and Liu et al. all use slightly different definitions or categorisations of BOAS.)

Njikam et al. (2009), like the later researchers in the field, fit logistic regression models. They exhibit various associations between illness and risk factors per breed. They do not quantify brachycephaly by CFR but by a similar measure, BRA, the ratio of width to length of the skull. CFR and BRA are approximately non-linear one-to-one functions of one another (this would be exact if skull length equalled skull width plus muzzle length, i.e., assuming a spherical cranium), so a threshold criterium in terms of one can be roughly translated into a threshold criterium in terms of the other. Their samples are again, unfortunately, very small (the title of their paper is very misleading).

Their main interest is in genetic factors associated with BOAS apart from the genetic factors behind CFR, and indeed they find such factors! In other words, this study shows that BOAS is very complex. Its causes are multifactorial. They have no data at all on the breeds of primary interest to SRR: these breeds are not much afflicted by BOAS! It seems that van Hagen again has a reading of Njikam et al. which is not justified by that paper’s content.

Packer et al. (2015) Study. 2, revisited

Fortunately, the data sets used by the publications in PLoS ONE are available as “supplementary material” on the journal’s web pages. First of all, I would like to show a rather simple statistical graphic which shows that the relation between BOAS and CFR in Packer et al.’s Study 2 data does not look at all as the authors hypothesized. First, here are the numbers: a table of numbers of animals with and without BOAS in groups split according to CFR as a percentage, in steps of 5%. The authors recruited animals mainly from breeders, with CFR less than 50%. It seems there were none in their sample with a CFR between 45% and 50%.

BOAS versus CFR group

Table 1: BOAS versus CFR group

This next figure is a simple “pyramid plot” of percentages with and without BOAS per CFR group. I am not taking into account the breed of these dogs, nor of other possible explanatory factors. However, as we will see, the suggestion given by the plot seems to be confirmed by more sophisticated analyses. And that suggestion is: BOAS has a roughly constant incidence of about 20% among dogs with a CFR between 20% and 45%. Below that level, BOAS incidence increases more or less linearly as CFR further decreases.

Be aware that the sample sizes on which these percentages are based are very, very small.

Figure 3: Pyramid plot, data from Packer et al. Study 2

Could it be that the pattern shown in Figure 3 is caused by other important characteristics of the dogs, in particular, breed? In order to investigate this question, I, first of all, fitted a linear logistic regression model with only CFR, and then a smooth logistic regression model with only CFR. In the latter, the effect of CFR on BOAS is allowed to be any smooth function of CFR – not a function of a particular shape. The two fitted curves are seen in Figure 4. The solid line is the smooth, the dashed line is the fitted logistic curve.

Figure 4. BOAS vs CFR, linear logistic regression and smooth logistic regression

This analysis confirms the impression of the pyramid plot. However, the next results which I obtained were dramatic. I added to the smooth model also Breed and Neutered-status, and also investigated some of the other variables which turned up in the papers I have cited. It turned out that “Breed” is not a useful explanatory factor. CFR is hardly significant. Possibly, just one particular breed is important: the Pug. The differences between the others are negligible (once we have taken account of CFR). The variable “neutered” remains somewhat important.

Here (Table 2) is the best model which I found. As far as I can see, the Pug is a rather different animal from all the others. On the logistic scale, even taking account of CFR, Neckgirth and Neuter status, being a Pug increases the log odds ratio for BOAS by 2.5. Below a CFR of 20%, each 5% decrease in CFR increases the log odds ratio for BOAS by 1, so is associated with an increase in incidence by a factor of close to 3. In the appendix can be seen what happens when we allow each breed to have its own effect. We can no longer separate the influence of Breed from CFR and we cannot say anything about any individual breeds, except for one.

 Model 1 
(CFRpct – 20) * (CFRpct < 20)–0.20***(0.05)
Breed == “Pug”:TRUE2.48***(0.71)
Log Likelihood–67.09 
Num. obs.154 
*** p < 0.001; ** p < 0.01; * p < 0.05  
Table 2: A very simple model (GLM, logistic regression)

The pug is in a bad way. But we knew that before. Packer Study 2 data:

 W.out BOASWith BOAS
Not Pug9230
Table 3: The Pug almost always has BOAS. The majority of non-Pugs don’t.

The graphs of Packer et al. in Figure 1 are a fantasy. Reanalysis of their data shows that their model assumptions are wrong. We already knew that BOAS incidence, Breed, and CFR are closely related and naturally they see that again in their data. But the actual possibly Breed-wise relation between CFR and BOAS is completely different from what their fitted model suggests. In fact, the relation between CFR and BOAS seems to be much the same for all breeds, except possibly for the Pug.

Final remarks

The paper Packer et al. (2015) is rightly described by its authors as exploratory. This means: it generates interesting suggestions for further research. The later paper by Liu et al. (2017) is excellent follow-up research. It follows up on the suggestions of Packer et al., but in fact it does not find confirmation of their hypotheses. On the contrary, it gives strong evidence that they were false. Unfortunately, it only studies three breeds, and those breeds are breeds where we already know action should be taken. But already on the basis of a study of just those three breeds, it comes out strongly against taking one single simple criterion, the same for all breeds, as the basis for legislation on breeding.

Further research based on a reanalysis of the data of Packer et al. (2015) shows that the main assumptions of those authors were wrong and that, had they made more reasonable assumptions, completely different conclusions would have been drawn from their study.

The conclusion to be drawn from the works I have discussed is that it is unreasonable to suppose that a single simple criterion, the same for all breeds, can be a sound basis for legislation on breeding. Packer et al. clearly hoped to find support for this but failed: Liu et al. scuppered that dream. Reanalysis of their data with more sophisticated statistical tools shows that they should already have seen that they were betting on the wrong horse.

Below a CFR of 20%, a further decrease in CFR is associated with a higher incidence of BOAS. There is not enough data on every breed to see if this relationship is the same for all breeds. For Pugs, things are much worse. For some breeds, it might not be so bad.

Study 2 of Packer et al. (2015) needs to be replicated, with much larger sample sizes.


van Hagen MAE (2019) Fokken met Kortsnuitige Honden. Criteria ter handhaving van art. 3.4. Besluit Houders van dieren Fokken met Gezelschapsdieren. Departement Dier in Wetenschap en Maatschappij en het Expertisecentrum Genetica Gezelschapsdieren, Universiteit Utrecht.; English translation:

Liu N-C, Troconis EL, Kalmar L, Price DJ, Wright HE, Adams VJ, Sargan DR, Ladlow JF (2017) Conformational risk factors of brachycephalic obstructive airway syndrome (BOAS) in pugs, French bulldogs, and bulldogs. PLoS ONE 12 (8): e0181928.

Njikam IN, Huault M, Pirson V, Detilleux J (2009) The influence of phylogenic origin on the occurrence of brachycephalic airway obstruction syndrome in a large retrospective study. International Journal of Applied Research in Veterinary Medicine 7(3) 138–143.

Packer RMA, Hendricks A, Volk HA, Shihab NK, Burn CC (2013) How Long and Low Can You Go? Effect of Conformation on the Risk of Thoracolumbar Intervertebral Disc Extrusion in Domestic Dogs. PLoS ONE 8 (7): e69650.

Packer RMA, Hendricks A, Tivers MS, Burn CC (2015) Impact of Facial Conformation on Canine Health: Brachycephalic Obstructive Airway Syndrome. PLoS ONE 10 (10): e0137496.

Appendix: what happens when we try to separate“Breed” from “CFR”

 Model 2 
Breed:American Bulldog–43.51(67108864.00)
Breed:Boston Terrier0.35(1.84)
Breed:Cavalier King Charles Spaniel0.82(1.37)
Breed:Dogue de Bordeaux–43.35(67108864.00)
Breed:French Bulldog2.36(1.59)
Breed:Griffon Bruxellois–0.97(1.18)
Breed:Japanese Chin1.70(1.46)
Breed:Lhasa Apso1.75(1.63)
Breed:Mastiff cross1.97(2.60)
Breed:Pug cross–44.79(47453132.81)
Breed:Shih Tzu0.16(1.23)
Breed:Staffordshire Bull Terrier–43.37(47453132.81)
Breed:Staffordshire Bull Terrier Cross2.36(2.07)
Breed:Tibetan Spaniel–44.14(67108864.00)
Breed:Victorian Bulldog–43.16(67108864.00)
EDF: s(CFRpct)1.00(1.00)
Log Likelihood–53.29 
Deviance explained0.48 
GCV score0.03 
Num. obs.154 
Num. smooth terms1 
*** p < 0.001; ** p < 0.01; * p < 0.05  
Table 4: A more complex model (GAM, logistic regression)

The above model (Table 4) allowing each breed to have its own separate “fixed” effect is not a success. That certainly was presumably the motivation to make “Breed” a random, not a fixed, effect in the Packer et al. publication, because treating breed effects as drawn from a normal distribution and assuming the same effect of CFR for all breeds disguises the multicollinearity and lack of information in the data. Many breeds, most of them contributing only one or two animals, enabled the authors’ statistical software to compute an overall estimate of “variability between breeds” but the result is pretty meaningless.

Further inspection shows that many breeds are only represented by 1or 2 animals in the study. Only five are in something a bit like reasonable numbers. These five are the Affenpinscher, Cavalier King Charles Spaniel, Griffon Bruxellois, Japanese Chin and Pug; in numbers 31, 11, 20, 10, 32. I fitted a GLM (logistic regression) trying to explain BOAS in these 105 animals and their breed together with variables CFR, BCR, and so on. Still then, the multicollinearity between all these variables is so strong that the best model did not include CFR at all. In fact: once BCS (Body Condition Score) was included, no other variable could be added without almost everything becoming statistically insignificant. Not surprisingly, it is good to have a good BCS. Being a Pug or a Japanese Chin is disastrous. Cavalier King Charles Spaniel is intermediate. Affenpinscher and Griffon Bruxellois have the least BOAS (and about the same amount, namely an incidence of 10%), even though the mean CFRs of these two species seem somewhat different (0.25, 0.15).

Had the authors presented p-values and error bars the paper would probably never have been published. The study should be repeated with a sample 10 times larger.


This work was partly funded by “Stichting Ras en Recht” (SRR; Foundation Justice for Pedigree dogs). The author accepted the commission by SSR to review statistical aspects of MAE van Hagen’s report “Breeding of short-muzzled dogs” under the condition that he would report his honest professional and scientific opinion on van Hagen’s literature study and its sources.

José, Kevin, Lucia (JKL)

More than ten years ago I started writing a book on Dutch miscarriages of justice in which I had been involved. I wanted to explore the personality issues in three such cases. In each case, it seemed to me that aspects of the character of the main protagonist led to them being something of a scapegoat of a system under great stress. Some trigger events caused a bad situation to become an utter disaster. Authorities made mistakes and could not admit them, so errors were compounded, and there was no going back, no way to change path any more.

In recent posts, I have told a lot of the story of José Booij. It’s time to start writing about Lucia de Berk and Kevin Sweeney.

Concerning Lucia de Berk there already is an enormous literature. The case started in 2001, seemed to be closed with Lucia in jail for life by 2006 (conviction by the lower court at the first trial in 2003, appeal to higher court failed in 2004, cassation – appeal to the supreme court – failed in 2006) but at that time also a strong movement burst into the public view, calling for a judicial review and a retrial. Lucia was fully exonerated in 2010. The role of statistics in the case is well known though controversial since at the 2004 appeal, she was convicted “on the grounds of incontrovertible medical scientific evidence only”. A “statistical probability calculation” (such as the infamous calculation leading to the spectacular 1 in 342 million) played no part at all in the court’s conclusion, according to her judges.

Yet many things have still not been said in public about the case, except perhaps in literary form. In my future book, I want to say things I have said many times before in ephemeral blog posts, and other removed or hidden web pages.

Concerning Kevin Sweeney, not much has been written at all. He sat out his sentence for the murder of his wife and keeps a low profile.

Exit mobile version