Statistically speaking, I think there is a general realization if you have certain goals in mind that you are much likelier to be successful if you follow in the footsteps of those that are already achieving those goals. With running; weekly mileage, diet, training plans, zones, strength training, etc. all factor in to the end result. With all the data available on platforms like Strava in this era, It affords a data driven analysis of athletes across a broad range of ability to put all of these long established training plans and creeds to the test and see how they stack against reality.
I stumbled across this article from 2017. It would be interesting to find something more current and across a much broader data set, but I found it quite informative. It would be nice to see it controlled for in a few more categories (age, sex, experience, etc.), but It wouldn’t affect the underlying conclusions any. Unsurprisingly, higher mileage is highly correlated with faster finish times. The interesting part though is that most of the popular plans everyone uses to inform their training appear to suggest higher mileages than necessary to achieve those goals than is statistically suggested. It could be in part that the plans haven’t caught up to the data, or simply that some buffer is built into the plans to increase the overall likelihood of success comfortably above mean. At any rate, hope some of you find this as interesting as I did.