[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
Re: Hormesis and LNT
Hi All,
Well, Joan, I agree with the tenor (or should I say soprano? Alto,
perhaps?) of your mail. However, I disagree with your last statement,
if it is not meant as a parody. These days you never know for sure!
:-)
Anyway, your statement is the logical LNT trap that Joe Alvarez
and I also fell down into, oh so many years ago! Fortunately, we
realized relatively soon that this is a fallacious argument cooked up by
the Linear Mafia. It is easy to show this argument to be wrong: Let us
assume that the excess risk function goes steadily down toward zero as
the dose approaches small values but then assumes a J-shape, so that you
are dealing with a hormetic cause-effect function. Now decrease the
dose below the point called Zero-Effects-Point (ZEP), where the excess
risk is indeed zero. Below that dose the excess risk goes negative as
in the Shipyard Worker study to a value of - 0.24 +- 0.03 (Relative risk
0.76 +- 0.03). Now that is not at all hard to measure, is it? Also look
at Bernie Cohen's radon/lung cancer data which are hormetic and well
measured below the ZEP.
As you can see, the LNT Mafia's argument only works if the
effect goes monotonically to zero as the dose goes monotonically to
zero.
Best regards, Fritz
Joan Stovall wrote:
> Of course, they cannot very well test the risk model at low doses and
> low exposure levels. Why? The necessary sample size increases with
> the inverse of the square of the resolution they desire. Soon, the
> sample size will become larger than the entire population they are
> studying. Of course, they cost of performing such a study would
> spiral out of control.
--
" The American Republic will endure until the day Congress
discovers that it can bribe the Public with the Public's money."
Alexis de Tocqueville
Democracy in America
***************************
Fritz A. Seiler, Ph.D.
Sigma Five Consulting
P.O. Box 1709
Los Lunas, NM 87031, USA
Tel. 505-866-5193
Fax. 505-866-5197
e-mail: faseiler@nmia.com
***************************
************************************************************************
You are currently subscribed to the Radsafe mailing list. To unsubscribe,
send an e-mail to Majordomo@list.vanderbilt.edu Put the text "unsubscribe
radsafe" (no quote marks) in the body of the e-mail, with no subject line.