Armstronglivs wrote:
You base your calculations on hypotheticals, without knowing how many tests are applied annually, and to how many athletes and how many tests per athlete on average. Your juggling figures is only that - playing with numbers. It obscures the known fact that doping exceeds the numbers caught and hence the only relevant question is by how much. That is where we are see a range of estimates. But what I also see is that you are coy about indicating what your position on that is: is doping largely confined to those caught or does it greatly exceed that figure, as many experts suggest?
Also, it doesn't take multiple tests to catch a doper - it takes one. But most dopers know how to not fail tests, through masking and timing, so increased testing won't automatically result in more positive tests. When doping is conducted "professionally" the chances of being caught are greatly reduced. What is apparent about Kenya is that doping is mostly not at that level of sophistication. Hence, more are caught.
Once again, these are Sergei Iljukov's calculations, not mine.
You seem to be missing the point. The mathematical exercise is to illustrate why 1-2% positive tests is not as bad as you seem to want to suggest. In the illustration, 2% positive tests catches 50% of the dopers, assuming 40% prevalence. If we knew and could substitute the real figures, we might not arrive at 50% of the dopers caught, but it also surely not as bad as only 1/20 or 1/40 dopers caught.
What am I coy about? I gave you two factors to go from tests to prevalence: "you would have to multiply by that factor of average number of tests to catch a doper, then divide by that fraction of dopers caught of the total dopers."