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BATCo document for PFSFC 1 March 1999

%7
27th Oct.,bet 1976
Dr. RoF.Cramptont
BIBRA
Woodmansterne Road,
Carshalton,
Surrey, SM5 4DS
Dear Reggle,
I will certainly let you kn:w whether we take
up your suggesti')n f r further ,,pini .n as re,~uested in y ,,r
letter of 25th October. But, -,f course, this is I] t ,L~!en,!,,l,t
on us - our friends in Ameriza will decide in the light :f their
own position.
I certainly thought y.~ur opini~n a rea~ nabl,: .~ne
but if I were qualified to cc, mment mu-h further we w,~uldn't
need it~ Anyway thank you again for the effort y :u |,ave
put in - Z have passed your invoice to our accounts dnpnrtment.
Wlth kind regards,
Yours sincerely,
S.JoGREEN
(n.o.o.)
c.c. Dr.l.W.Hughes with c/BIBRA letter dated 25.10.76
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BATCo document for PFSFC 1 March 1999

~kCu~%Ct~ 27th Octobem
1976
CIGARETTE 5NOKING AND CAUSAL RELATIONSHIPS
The public position of tobacco companies with
respect to causal expianations of the association of cigarette
smoking and diseases is dominated by legal considerations.
In the ultimate companies wish to be able to dispute that a
particular product was the cause of injury to a particular
~erson. By repudiation of a causal role for cigarette •
smoking in general theyhope to avoid liability in particular
cases. This domination by legal consideration thus leads
the industry into a public rejection in total of any causal
relationship between smoking and disease and puts the
industry in a peculiar position with respect to product
safety discussions, safety evaluations, collaborative
research etc. Companies are actively seeking to make
products acceptable as safer while denying•strenuously ~:e
need to do so. To many the industry •appears intransigent
and irresponsible. The problem of causality has been
inflated to enormous proportions. The industry has
retreated behind impossible demands lot"scientific proof"
whereas such proof has never been required as a basis for
action in the legal and political fields. Indeed if the
doctrine were widely adopted the results would be disastrous.
I believe that with a better understanding of the nature of
causality it is plain that while.epidemiological evidence
does indicate a cause for concern and action it cannot form
a basis on which to claim damage for injury to a specific
individual.
In the Surgeon General's Advisory Committee
First Report the question of causality is raised. They
recognlsed the difficulties but agreed that causal signifi-
cance of an association is a matter of ~udgment and noted
a number of criteria which may be utilised togetherj not
one of which alone would be sufficient, e.g. the consistency,
strength and specificity of the association, the temporal
relationship and the coherence of the association. They
considered characterisation of the assessment of an
association as a "factor", a "determinant" or a "cause".
They recognised "factor" as a source of variation but not
necessarily as a cause. Further there can be co-existence
of several factors required {or the occurrence of a disease
but one factor may p~ay a determinant role. The word cause
was held to convey the notion of a significant effectual
Contd.
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BATCo document for PFSFC 1 March 1999
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relationship between an agent and an associated disorder in
the host. All the members accepted a multiple etiology
view of biological processes. In the end they defined
"cause" merely to confirm thelY Convictions.
The Surgeon General's Committee had such great
difficulty with the.problem of causality because the tests
for causality we "instinctively" adopt are those of necessity
and sufficiency spelt out by J.S.Mil~1~hereas epldemiology.
requires - as the Committee demonstrates in practice -
i different treatment. It is my thesis that the tests of
Mill (which I will call tests for special causality) apply
only to mechanistic systems whereas epldemi01ogy, for
example, requires a probabilistic approach.
In the nineteenth century it was assumed that
every effect must have a cause. To prove that A caused 8
it would have to be demonstrated that event A precedes event
B and that event A ks both necessary and sufficient to
ensure that event B will follow. The view of science
itself was mechanistic~ it was felt that if everything
was known about a system then the future of that system
would be predictably certain. Within its limits this
concept is still valid. In spite of appearances the
behaviour of billiard balls is entirely predictable and,
given the data, is calculable. This concept still
dominates legal thinking. Although the extension of
contributory negligence increasingly recognises multiple
causes the concept is nevertheless mechanistic - there
is an underlying assumption that, given the facts, the
results are predictable, calculable and legally apportionable.
This mechanistic concept of causality is still also the
popular concept. In the modern world of advertising even
the most comple~ systems imaginable (human emotional
situations) are presented as predictably controllable by
simple events such as using Brand X.
Julian Huxley in 1958 wrote "The conclusion to
be drawn from the evidence is definite: increasedsmoklng
increases the probability of developing lung cancer.
Unfortunately the significance of such a statement is not
clear to mary people. Obsessed by the naive idea of
finding a single cause for every effect, they shake their
heads and say that the evidence is only statistical, as
if that invalidated it. In point of fact, every scientific
law is statistical, and all that physicists can hell us
about electrons within the atom is the probability of their
occupying any p~rticular position".
.. '
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BATCo document for PFSFC 1 March 1999

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Thus Julian Huxley began to spell out a
probabilistic view of causality (which I will call general
causality) based on twentieth century science. -When we
have a science which embraces the uncertainty principle -
the unknowability of the total data for some systems - and
probability to describe the properties of large populations
then we cannot expect special causality to be very useful.
However, ]use as Newton'sLaws are true enough for everyday
experience and relativity would be superfluous the tests
for special causality can still be applied to very simple
unified systems. But for complex systems involving the
properties of large numbers experimentally established
relationships may be used to predi:t the behaviour of the
population with accuracy.
For example from the evidencewe have that
smoking is a factor in multiple correlations and is strongly
associated with some diseases, •this may be sufficient to
substantiate a claim that smoking is a cause of the disease
or causes an increase in the incidence of the disease. If
it can be reliably predicted that if smoking is decreased
in a population so will be the incidence of this or that
disease then smoking is a cause in the general or probabilistic
sense.
But the evidence obtained from populations is
not relevant to the individual -.as far as the individual
is concerned general causality has no validity and it would
be quite improper to imply predictability. And this applies
to the legal question "Could smoking have caused damage to
this man?" as well aS to the question "Did this brand do
.o
this to this man?"
In an individual case, to prove an agent is
a cause for an effect one must fall back to establishing
that the particular agent was for that individual in all
his special circumstances both necessary and sufficient.
But these special clrcumstancesinclude genetic constitution,
abnormal phenotype or genotype, social status, exposure to
other known agents (e.g. carcinogens) together with a host
of relevant considerations. Diseases in fact are not
caused merely by the presence of a particular agent. If
such a simple cause were assumed then there is a necessity
to explain why it only occurs in a'minority of "susceptible"
individuals.
Contd.
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BATCo document for PFSFC 1 March 1999

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In summary, for social policy purposes it is
sensible and totally relevant to use the experimental
evidence pertaining to large groups and also to select
the simplest hypothesis. I~ may therefore be concluded
that for certain groups of people smoking causes the
incidence of certain diseases to be higher than it would
otherwise be. But no valid conclusions may be drawn from
~he epidemiologlcal studies with respect to any particular
individual. In this case~ at presentt there is no way.
i of knowing Or of calculating the probabilit~ whether smoking
will cause disease in any specific individual or whether
by giving up smoking he will avoid disease. • Thus I find
it completely consistent both to accept that the evidence
.demonstrates the need for some action on. smoking as a. social
problem and also to reject a message to the individual smoker
that "smoking causes lung cancer", etc.
Footnote ~'~~
Mill was concerned to establish methods employed by
scientist, methods of inductiont which would act as
an independent check on mere observation:
a) If two or more instances of the phenomenon under
investigation have only one circumstance in common
..o this is the cause.
b) If an instance in which the phenomenon occurs and
an instance in which it does not occur have every
circumstance in common except one, that one only
o~curring in. the former, this one differing
circumstance is the cause ... (or an indispensible
part of it)..
c) If two or more instances in which the phenomenon
occurs have only one circumstance in common~ while
two or more instances in which it does not occur
have nothing in common (save the absence of that
circumstance) the circumstance in which alone the
two sets of instances differ is the cause.
d) Whatever phenomenon varies in any manner whenever .
another phenomenon varies in some particular way,
is either cause or an effect of that phenomenon
or is concerned with it through some fact of
causation.
Mill was never "clear ~hether his methods were
of discovery or of proof but they did influence the approach
of experimental scientists. Nevertheless his inductive
method necessarily assumes that every @vent must have a cause.
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BATCo document for PFSFC 1 March 1999
