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Doctors and lawyers should get probability theory right
In a recent case of DNA evidence the probability of
a chance match was quoted as 20 million to one. The accurate
statement On 9 November at Chester Crown Court Sally Clark, a Cheshire solicitor,
was convicted, by 10-2 majority, of smothering her two infant children.
With conflicting forensic evidence, the Crown's case was bolstered by
an eminent paediatrician testifying that the chances of two cot deaths
happening in this family was vanishingly small Imagine an archery target with two arrows sticking in the very centre
of it. This provides greater evidence of the skill of the archer if the
target was in place before the arrows were fired than if it was drawn
around them afterwards. Probability theory requires calculation of the
probability not only of the event in question but also of all events
that are as extreme or more extreme. When the target is drawn first you
calculate the chance of both arrows hitting the centre of the target.
But when the target is drawn round the arrows afterwards you calculate
the chance of both arrows hitting the same point, whatever that point. With two independent arrows one probability is the square of the other.
Suspicion was drawn to Sally Clark by the occurrence of two deaths so
the probabilities should not have been squared. The odds of 1 in 73 million shrink to 1 in 8500. But this figure is itself meaningless.
There is in fact a wall full of arrows with the target drawn around the
two that are close together and the others ignored. Mathematical
formulas for this situation often surprise people. For example, with
only 23 people in a room the odds are better than 50% that two of them
have the same birthday.
From whole population data Reese calculates the square of the
population risk of cot death as 1 in 2.75 million.1 There are 378 000 second or subsequent births each year in England. So if
cot deaths are random events two cot deaths will occur in the same
family somewhere in England once every seven years. But cot deaths are
not random events. There have been several studies of recurrence. At
least one study did show no increase in recurrence rates.2
But several others showed recurrence rates about five times the
general rate,3-5 implying recurrence somewhere in England about once every year and a half. Two studies showed even higher rates.
6 7
The fact that studies of recurrence have been done means this event is
not vanishingly rare. In a case series of recurrent infant death Emery
classified two cases as recurrent cot death out of 12 cases occurring
in Sheffield in 20 years.8 Wolkind et al found five cases
in their unsystematic English case series of 57 recurrent infant
deaths.9 Both these studies distinguished cot death from
accident, illness, murder, and neglect.
The prosecution used the figure of 1 in 73 million rather than 1 in
2.75 million because of the family's affluence. Yet taking data from
an epidemiological group and applying it stereotypically to all members
is an example of the ecological fallacy. Social class is a complex
reality of interassociated circumstances Guidelines for using probability theory in criminal cases are urgently
needed. The basic principles are not difficult to understand, and
judges could be trained to recognise and rule out the kind of
misunderstanding that arose in this case. Never again must mathematical
error be allowed to conflict with mathematical fact as if each were a
legitimate expert view.
What is our profession's responsibility for the quality of expert
evidence given by doctors? Medical evidence is trusted, and we must
retain that situation and ensure that it is not abused. It is possible
to be an extremely good doctor without being numerate, and not every
eminent clinician is best placed to give epidemiological evidence.
Doctors should not use techniques before they have acquainted themselves with the principles underlying them.
When errors occur we expect them to be admitted, learnt from, and
corrected. Should clinical governance extend to the courtroom? Expert
witnesses can hold a substantial part of defendants' lives in their
hands. Defendants deserve the same protection as patients.
Stockport Health Authority, Stockport SK7 5BY
that the defendant or two other unknown people in the United
Kingdom could have committed the offence
is much less impressive.
Other evidence was overwhelming, but this may not always be true,
especially with matches from DNA databases. Even more problematic than
the issue of presenting statistical evidence fairly is the problem of
getting it wrong.
1 in 73 million. This
seriously misunderstands probability theory. It is speculation whether
Sally Clark would have been acquitted without this evidence. But with
this mathematical error prominent the conviction is unsafe.
education, work, income,
lifestyle, culture, contacts, residence, opportunities, social class of
origin, etc
statistically summarised for use in population studies by
selecting the one variable which performs best as an indicator. This
does not mean that individuals have the attributes of the statistical group.
Predisposing biases: SJW is a vice president and immediate past president of the Medical Practitioners' Union, which is predisposed to support the civil liberties movement. He has no personal acquaintance with people involved in this case.
| 1. | Reese A. In Statistics and justice. www.stats.gla.ac.uk/allstat/. Accessed November 1999. |
| 2. | Peterson DR, Subotta EE, Dubing JR. Infant mortality among subsequent siblings of infants who died of sudden infant death syndrome. J Pediatr 1986; 108: 911-914[CrossRef][Medline]. |
| 3. |
Oyen N, Skjaerven R, Jurgens LM.
Population-based recurrence risk of sudden infant death syndrome compared with other infant and foetal deaths.
Am J Epidemiol
1996;
144:
300-305 |
| 4. | Guntheroth VG, Lohmann R, Spiers PS. Risk of sudden infant death syndrome in subsequent siblings. J Pediatr 1990; 116: 520-524[CrossRef][Medline]. |
| 5. | Irgens LM, Skjaerven R, Peterson DR. Prospective assessment of recurrence risk in sudden infant death syndrome siblings. J Pediatr 1984; 104: 349-351[Medline]. |
| 6. | Froggart P, Lynas MA, McKenzie G. Epidemiology of sudden unexpected death in infants ("cot death") in Northern Ireland 1971. Br J Soc Prev Med 1984; 25: 119-134. |
| 7. | Beal SM, Blundell HK. Recurrence incidence of sudden infant death syndrome. Arch Dis Child 1988; 63: 924-930[Abstract]. |
| 8. | Emery JL. Families in which two or more cot deaths have occurred. Lancet 1986; i: 313-315. |
| 9. | Wolkind S, Taylor EM, Waite AJ, Dalton M, Emery JL. Recurrence of unexpected infant death. Acta Paediatrica 1993; 82: 873-876[Medline]. |
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