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Eh. It's similar to using selected points of the data to justify what an analyst thinks is the fairest or most reasonable conclusion. In my world (education), I watch cherry-picked data presented all the time. The conclusions are valid, but the data sets were formed to fit a story. I'm not...

Had he stayed healthy, I'd suspect his NFL Scouting combine numbers, at least based on what we had heard from internal UM testing, would be substantially different. Then the data story becomes different. Again, it's crystal clear what you're aiming at here and I think, as everyone has mentioned...

These are the types of things I'm talking about. Besides weather, there are countless other little inconsistencies in data collection. Of course, Lance can't control that and simply needs to scrub and do the best he can with the data available, but there's more to be said about some of this...

Some of these athletes tested at different points in their HS careers, no? Did you grab all the testing from, say, Junior Year Opening numbers? Some of them come into those testing situations with different training than others, too. A case that stands out is Ahmmon Richards being labeled a 43...