But your entire argument is that these new school stats are “flawed assumptions” and the old school ones are concrete fact.
But are they? Aren’t there a ton of assumptions built into batting average? Like that hitters face equal pitching? Or hit into equal defense? Or play in parks with equal effect? And in front of official scorers with equal interpretations? And that, due to the large sample size, all of this equals out and creates a level playing field?
And sure, BA is a nice, simple consistent, easy-to-understand formula. Except it isn’t. And it hasn’t even always been calculated the same way.
One thing that will always bug me about BA is sac flies are not at bats. I get why sac bunts are not, but sac flies.
Well, from 1908 to 1931, they didn’t. Sac flies were at bats. In 1939, they were not at bats again. But from 1940 to 1954 hitters were suddenly charged with an at bat on a run scoring fly ball. This latter stretch shows the impact, as it has a major overlap with the career of Ted Williams.
If Williams played under the same rules as players before him, his legendary .406 in 1941 would have been .419. Williams also lost the 1949 triple crown because slap-hitting George Kell hit .0002 better. While I don’t have sac fly data for 1949, it’s not the most ridiculous assumption that Mr. Production Comes From Hitting The Ball In The Air had more than enough sac flies to win another triple crown.
And this same logic goes for a lot more old school stats. But we use them because 1) they’re relatable and 2) we always have. But none of that means there aren’t assumptions built in and they are perfect…