J
Just zis Guy, you know?
Guest
On 9 Jan 2006 09:13:42 -0800, "gds" <[email protected]> said in
<[email protected]>:
>OK here we go back to implied character smear rather than arguing the
>issue. That is usually the tactic of folks who have no proof so need to
>displace the argument.
Bollocks. Scharf is well-known: his number one technique is to
attribute to others those disparagements which best fit himself.
If you want to see junk science, read the pro-helmet studies. See how
researchers compare completely different groups of cyclists and
attribute more than 100% of the difference in injury rates to headgear
choice. Scharf has been told time and again that the correlation vs.
causation argument fallacy is most evident in the small-scale
observational studies which underpin helmet promotion. Whole issues
of the relevant journals have been given over to this kind of problem!
These small-scale studies are all vulnerable to that problem.
But Scharf chooses to accept them uncritically (fault 1), assume that
all time-series studies do the same (fault 2), reverses the burden of
proof (fault 3) and then accuses the sceptics of being zealots (fault
4). In every case his criticisms are *far* more relevant to the
obsessive-compulsives than to those of us who read and try to
understand the mass of conflicting evidence.
The worst possible fault is the Scharf's starting point: to assume
that *anything* in this area is sufficiently black-and-white as to
permit any sentence containing words like "always".
Guy
--
http://www.chapmancentral.co.uk
"To every complex problem there is a solution which is
simple, neat and wrong" - HL Mencken
<[email protected]>:
>OK here we go back to implied character smear rather than arguing the
>issue. That is usually the tactic of folks who have no proof so need to
>displace the argument.
Bollocks. Scharf is well-known: his number one technique is to
attribute to others those disparagements which best fit himself.
If you want to see junk science, read the pro-helmet studies. See how
researchers compare completely different groups of cyclists and
attribute more than 100% of the difference in injury rates to headgear
choice. Scharf has been told time and again that the correlation vs.
causation argument fallacy is most evident in the small-scale
observational studies which underpin helmet promotion. Whole issues
of the relevant journals have been given over to this kind of problem!
These small-scale studies are all vulnerable to that problem.
But Scharf chooses to accept them uncritically (fault 1), assume that
all time-series studies do the same (fault 2), reverses the burden of
proof (fault 3) and then accuses the sceptics of being zealots (fault
4). In every case his criticisms are *far* more relevant to the
obsessive-compulsives than to those of us who read and try to
understand the mass of conflicting evidence.
The worst possible fault is the Scharf's starting point: to assume
that *anything* in this area is sufficiently black-and-white as to
permit any sentence containing words like "always".
Guy
--
http://www.chapmancentral.co.uk
"To every complex problem there is a solution which is
simple, neat and wrong" - HL Mencken