In intellectual discussions, the burden rests on those who suggest such correlations can be found to affirm it.
To be clear, a correlation has a mathematical definition, comparing two variables, with values close to 0 being weak, values close to 1 being strong, and negative values showing an inverse relation.
Correlations cannot be established by cherry-picked anecdotes -- even thousands of them.
Anecdotes must be controlled to have any substantive value.
It is also important to consider any potential confounders, to avoid finding any spurious correlations.
You proposed that 2006 was a significant milestone, and I gave not one, but six examples where such a milestone post-2006 is not obvious, for both non-African and East-African men, over three different distance events 1500m, 5000m, and the marathon.
Nevertheless, despite anyone failing to meet this burden, I have looked.
With respect to the men's distance running, I have looked for correlations with any and all suggest doping milestones.
A women's "depth of quality" analysis can also be done, but is more complicated to interpret, given the immaturity of the longer distance events, due to societial stereotypes which prevented women from training and competing until recently, and the higher expected response to steroids and testosterone. I have done one detailed analysis for the women, which supports these expectations, but haven't done a second analysis for the women, in part due to these complications, and in part, because there is no major disagreement, and in part because I am already confident what the results will be. If you still feel one is necessary, you have my methods and are welcome to do it.
I have listened to all the experts, and they have not spoken about nor shown any strong correlation based on first hand observations of elite distance running performances. The few times we have seen scientists speak up about expected performance benefits for elites, I have listened to them, and heard that it was based on studies of other events (e.g. cycling, skiing, max power, time to exhaustion), from studies which I have also heard expert scientists disclaim the findings for elite athletes. Another claim of expected blood doping performance was based on an altitude study as a proxy for doping. I'm only aware of one elite distance running coach who has spoken on the topic, who confirms a correlation for steroids, but not for blood doping.
More importantly, for threads like this, which reverse the flow of cause and effect, by speculating that a fast time must be doped, by virtue of the fast time, scientists are never looking at the right metric. They should not measure the short term improvement of a doping intervention. To show whether fast performances are out of reach using legal substances and methods, they must measure, over a long term, the best doped performances with the best legal performances.
I have also looked at all time results which include the literally thousands of dopers over all time. As I indicated above, we must be much more careful with anecdotes like Ramzi, Jeptoo, and Kiptum, and consider confounders much more closely, to avoid drawing spurious correlations.