More Strides than Rides said:
Thrn why not release a medical record to back up an excusable off score? Release the data, and a "I was violently ill" doctor's visit or prescription or whatever. And relase the whole numbers, not just the offscore, so that everyone can see that the trigger of the off score was consistent with the explanation.
Don't attack me for people not releasing data, I'm not against it and that was not the point I was arguing against.
The point was, and it's clear from this reply that you've missed it, that even off scores outside of the "allowable" range may have a normal origin, without needing any special reason for falling outside of that range. The width of the range is calculated, statistically, so that it would encompass 99.9% of all normal samples. So, on average, 0.01% of all normal samples will be outside of the defined range. (That is, on average, for every 1000 "normal" samples, no doping or any other special circumstances like illness, 1 tends to fall outside of the range.)
So there does not have to be a "trigger" for a normal sample to fall outside of the range, that's just how the statistics work. That's why we go through all the trouble of actually modelling a network to determine if a given set of evidence (blood samples, biometrical data, background variables such as altitude training or illness) increases or decreases the so called posterior probability of doping (or, if you wish, the odds ratio of doping:not doping).
If you have probable "triggers" for abnormal values, and that why all the dopers have those lame excuses like altitude, catching rare bugs and eating spoiled food, the likelihood of observing out-of-range values despite being "clean" only increases. Luckily, more and more research is done to determine what factors may or may not influence the variability of certain scores, such as the studies you've linked, but there are still plenty of factors that could possible influence things like the "off score".
That's why some of the experts in the field say that you cannot look at a couple of numbers of an individual and conclude whether or not they're clean.
However, the opposite is true as well. Despite being unable to determine, for individual athletes, if some violations of the allowable range truly indicate doping, if a large number of athletes show abnormal values, the possibility of them all having those values because of "natural causes" is negligible. While you may be unable to pinpoint for whom the values are normal and for whom the numbers are indicative of doping, you can conclude, on a group level, that there's something going on. (But this is just an echo of a post I made earlier.) Therefore, the biggest contribution of the published report by Parisotto and Ashenden is not the identification of individual dopers, as that might be impossible from the data, but the strong evidence that something very strange is going on in athletics as a whole.