I'm not looking for emotional wishful self-serving rationalizations but intelligently supported arguments about the hypothetical relation between two variables (doping and performance) based on real world data. You always seem to agree with me that such performance data for elite performances do not exist, but for some reason you keep trying to substitute this lack of collective intelligence with arguments for the gullible.
You are still wrong to call it *my* "hypothesis". For every hypothesis, the "null hypothesis" - i.e., that there is no relation between the independent and dependent variables - always exists as a possibility that must be addressed and rejected.
In order to support "elite athletes" "performance gains from doping", it is up to you to support this unproven hypothesis, and/or to reject the "null hypothesis". You simply don't have the necessary data sufficient to draw the conclusions you want me to believe. No one does. You seem to agree with that. The best you can do is construct artificial wishful self-serving rationalizations of the style "if it were not so ..." These are essentially new hypotheses presented as de-facto facts, again without supporting data. This only creates more null hypotheses, for example: "All of this could have occurred without performance gains from doping." How you may ask? Belief. Belief has existed long before Jesus, and continues to exist today. Funny you mention the sun shining, because before Jesus, people believed in the sun, praising gods like Horus and Ra. But make no mistake, this new claim is also your claim and it is your burden to support your claims, as well as reject the corresponding null hypotheses.
While you talk about generations of all doping in all sports, my primary topic of interest here is the hypothesized blood-doping performance benefit for distance runners. What further tells me you lack supporting data is your persistent need to muddy and widen the goalposts to include all doping and all sports, so you can include examples like Armstrong (cycling with a half-dozen or so drugs) and Canseco (baseball with steroids), and East-German/Russian/Chinese women, as if that were relevant to the discussion.
You are also wrong to say I have no data. I have six decades of alltime elite performance data. You claim "generations of top athletes from every country and in every sport have doped and continue to do so". I used six decades of historical performance data to test an "EPO worked in the EPO-era for top elite performances" hypothesis, finding that the fastest non-African performances worldwide generally stopped getting faster in the EPO-era.