You seem to be smart, yet you constantly mix up contexts only to say they are mixed up. Yes I say different things at different times in different contexts to make different points. - For non-African males, a rather large majority of the population, in mature distance running events, unlike East Africans and North Africans, and their non-African cyclist compatriots, it is plainly observable to all who look, that the best performances have not changed much since the '80s. This is true whether they were clean, took EPO, or were the lucky high responders to the synergistic effect of O2-vector drugs mixed in steroid and HGH cocktails. I could exclude the clean ones, and count just the doped ones, but the resulting observation, that best times have not changed much, would be the same. So making that determination of who doped and who didn't is simply not necessary, not to mention such a determination is not easy. I've repeatedly told you why I began to look at "everyone else". I did not create that context. - I excluded North African males from counting as European (Mourhit) or American (Khannouchi) records. I similarly excluded East African males (Farah, Meb, Abdirahman, Lagat, Kipketer, ...) from setting non-African "top" performances. - I excluded both North Africans and East Africans as examples of improvement, when the question was "why didn't non-Africans improve?" - I excluded North Africans and East Africans and women as examples, when the question was "why didn't non-African males improve?" - Let's INCLUDE North African examples, like rocket fuel Ramzi, or steeple record setting Boulami, busted for EPO. Can we say "EPO caused most or all of Ramzi's 10 second improvement"? Maybe EPO, plus the change of citizenship, plus the change in training, plus the change in coach, plus the natural evolution that would have occurred clean, plus any other drug cocktails, plus drafting in a fast race, plus his genetic potential, etc., caused his 10 second improvement. Do all these other things add up to zero? Similarly for Boulami, Russian women, Sumgong (9 minutes), Jeptoo (4 minutes), etc., how do we measure the effect of the rest? The thing is everyone improves in their career, and at different times and different rates for different reasons. With anecdotes, specific details matter on a case by case basis. And, I don't need to tell this forum, that the belief in EPO is popular and wide-spread, even for some "at the top". So, what can this tiny intersection of athletes who improved, with athletes busted for EPO, tell us about EPO effectiveness? Usually, in these kinds of contexts, to get a better sense of effectiveness correlated to EPO, we need a representative (i.e. larger) sample size, and/or some control, where some of these other long list of confounding effects can be cancelled out or will diminish on the average. Anecdotes can show the existence of exceptions, but in small numbers, do not show the general rule, trends, correlation, or causation. - For all women, steroids, testosterone, male hormones are proven highly effective, at turning female performances into male performances, and therefore are important confounders which have to be ruled out, before concluding EPO is the cause of the effect. These are not ridiculous goal-post moving subjective criteria, but plainly obvious barriers to any cause and effect discussion, that I'm surprised I have to plainly spell out to you. Quite simply, if you want to show EPO effectiveness, you have to show the effect, and ultimately that EPO reasonably caused a significant part of that effect.
Mr. Obvious wrote:
So, for non-african males, you include everybody whether we have any indication at all that they took EPO, or any other drug.
For North African males who have tested positive for EPO, we exclude them categorically for consideration although we can see that many of them improved and ran fast at the same time they tested positive.
For Chinese females you exclude them for consideration unless somebody can guarantee that they didn't take male hormones.
You claim to be looking for objective truth, but pick and choose your totally subjective criteria to rule in or out certain populations. It is why nobody should take your arguments seriously.