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Re[2]: Averill's Editorial
I believe the article was written at the right "audience level".
While some of the analogies may not be exactly technically correct, I
believe they have the correct effect for an audience that is
essentially ignorant of radiological issues.
Articles written like this will probably do more good than a thousand
professors writing technical papers. This is unfortunate, but a
reality. Perhaps we're using the wrong tool for the job? Tom Brokaw
or Peter Jennings would probably have more persuasion power than a
Nobel Prize winning scientist when talking to the public.
Have Peter Jennings do that "Your Money" piece about how much has been
spent on Yuccah Mountain and how silly it is that we aren't using it
and your congress-person would probably vote to use it tomorrow.
Sincerely
Glen Vickers
______________________________ Reply Separator _________________________________
Subject: RE: Averill's Editorial
Author: radsafe@romulus.ehs.uiuc.edu at INTERNET
Date: 7/30/96 3:42 PM
I'm saddened and embarassed to see arguments such as the one
appearing in Averill's editorial embraced by anyone associated
with the radiological protection community. Once again, we see a
failure to understand the difference between deterministic and
stochastic effects.
The production of thermal burns is essentially a threshold
process - injury occurs when the organ's rate of repair or
defense (in this case, the ability to reject or transfer heat) is
exceeded. It is a threshold process in which the appearance of
acute injury can be fairly well established (look at the warning
labels on many new showers). Above the threshold, the severity
of the injury increases with increasing temperature up to a point
where complete destruction of the organ (or organism) occurs.
Using an example such as this to attack the linear-no threshold
theory is irresponsible and, in my mind, could represent a form
of malpractice.
The reference to the Finish radon study is also unfortunate. The
study lacks sufficient statistical power to either accept or
reject the null hypothesis of no effect. For a review of this
paper, refer to the Continuing Education Lecture given by Dan
Strom at the Health Physics Society Meeting last week in Seattle
(dj_strom@pnl.gov).
I also think its equally irresponsible to apply LNT concepts to
miniscule environmental doses and calculate horrendous collective
doses that have little, if any bearing on reality. The LNT
hypothesis is a tool, and, like any tool can be misused with
unfortunate results. The concept of collective dose - an idea
which is predicated on the use of a linear model for health
effects - is useful and appropriate in many situations,
particularly when dealing with occupationally exposed
individuals. See NCRP Report No. 121 (1995) for a thorough
discussion on the uses and misuses of collective dose.
Certainly one would never equate the effect of one person-sievert
to one or two individuals to the same dose delivered to one or
two hundred. On the other hand, we frequently consider reducing
the number of workers engaged in an activity, even when
individuals doses might be somewhat higher in order to reduce
collective dose.
In the IRPA IX Sievert Lecture (reprinted in Health Physics
71(2):122-125), Beninson states "The linear non-threshold
relationship is at present the best tool to predict risk
probability at low doses. It fulfills all the requirements to be
considered "realistically representative" using modeling
terminology. Practical decisions can be made using this
relationship, and the radiation protection system recommended by
the ICRP provides a method for such decisions."
While I believe LNT to be a good tool for prospective purposes,
it is inappropaiate to use LNT for retrospective risk
calculations - especially individual risk calculations - because
of the dependence on sex, age at exposure, age at onset and other
individual risk factors (e.g., smoking, etc.)
Instead of attacking the LNT hypothesis as a model for
radiological protection, we should seek out and attack its
inappropriate application.
George J. Vargo, Ph.D., CHP
Pacific Northwest National Laboratory