I always liked this study. I havent taken the time to evaluate it recently though.
http://www.footballdocs.com/running_back_carries.html
Does anyone know why this analysis always uses 370 carries as the cutoff? I can shed some light on it. Here's every RB in history with 360-369 carries, along with where they ranked in year N and in year N+1:
Adrian Peterson '08 - 3rd that year, 2nd the next
Edgerrin James '05 - 5th that year, 20th the next... but in fairness, he switched from the Colts to the Cards.
Rudi Johnson '04 - 8th that year, 8th the next
Edgerrin James '99 - 2nd that year, 2nd the next
Curtis Martin '99 - 8th that year, 8th the next
Curtis Martin '98 - 8th that year, 8th the next (note: not a typo, Curtis ranked 8th in three consecutive seasons)
Terrell Davis '97 - 2nd that year, 1st the next
Curtis Martin '95 - 2nd that year, 4th the next
Emmitt Smith '94 - 1st that year, 1st the next
Emmitt Smith '91 - 3rd that year, 1st the next
Herschel Walker '88 - 3rd that year, 11th the next (traded at midseason from Dallas to Minnesota)
James Wilder '85 - 8th that year, 28th the next
Earl Campbell '81 - 12th that year, 26th the next
Earl Campbell '79 - 2nd that year, 2nd the next
Walter Payton '79 - 1st that year, 4th the next
Basically, the group of backs with 360-369 carries is one of the most elite, historically-productive cohorts in NFL history. A spectacular 80% managed to resist regression and perform as a fantasy RB1 in the follow-up season, which is an almost unheard-of success rate. 40% (6 of 15) ranked in the top two at their position the following season. So the key takeaway here is that if an RB gets 369 carries in one season, he's going to have one of the best years of his entire career the next year... but if he gets one more carry and crosses that magical 370 mark, he's going to fall off a cliff.
The "curse of 370" is a fantastic example of the rule of multiple endpoints. If you come up with a hypothesis and then look at the data before you select your endpoints, there's a good chance you'll be able to find some endpoints that make the data support your hypothesis.