rekrunner wrote:
One improvement on previous studies, even if we can only ethically stay with amateurs, is to make training more realistic to the real athletic situation. Imagine selecting amateur volunteers with a significant number of years of running history, then trained specifically (e.g. six months) to some race target, simulating what real athletes do to prepare for "the big race". We don't give all athletes the same training, but customize the training individually for each athlete, to bring them to their personal peak for this "race". Or even better, pick two races, two months apart, so that one can be pre-EPO, while the second can be post-EPO. This wouldn't be different from a "trials" competition, then "the big race".
Should we still expect to see the same 6% boost, between the before and after races?
Should we still expect to see the same 6% boost, for the EPO group compared to a control group?
Or, an even more sophistated approach, from existing experiments, if we had access to the individual data, would be to try and derive the expected EPO improvement, as a function of performance level, rather than some average for the whole group. For example, we have seen 9-minute Kenyans improve significantly less than 11:00 Scottish runners, both relatively, and absolutely. This kind of model would be a better predictor for elite runners, than an average percentage for the whole group.
(I'm not an experimental scientist with access to EPO, so these are just thought experiment to frame the questions.)
Regarding non-African high performances, let's put it another way, with some illustrative (not actual) statistics. During the EPO-era (for elite male distance runners):
- 90% of the progress was from East Africans
- 9% of the progress was from North Africans
- 1% of the progress was from non-Africans
(One study calculated that Kenyans outnumber Western athletes by 80-1, without correcting for population, so these figures might not be that unrealistic -- but just the same, it's for illustration only.)
Finding a handful of "exceptions" as contradictions seems to be missing the general point. I am looking, looking at the numbers, and when I look at top times, that is my estimated impression. I understand arguments like "improved testing in the West" and "reduced participation from the West", have some influence on these statistics, but when I look at percentages and magnitudes of performances and performance improvements, I don't see these explanations, plus doping, going far enough to be able to explain the African domination.