Quote:
Originally Posted by jpeters1734
Philthepat's test confirmed what this issue is about. Including the ML data is crucial because it proves that potential ratings are only used for the sim engine output in the minor league levels. That highlights the issue that a player can be very effective in AAA and looks ML ready, but performs like a middle-schooler once promoted
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Yes, the tests compliment each other.
I find Garlon's response interesting re a potential bug in how 1/600 settings deploy. It implies a solution of tweaking those results so they are not noticeable, which would not address the overall implication of how the stats are generated and so, if true, seems to reinforce some of the other criticisms.
[edit] though I think it does involve realism to the degree that usually gamers play according to assumptions based on reality, and the 1/600 findings are not realistic and so completely skew one's ability to manage intuitively. It is not merely academics. Which is why the propagandists like to chime in with it seems fine enough to them because it makes the discussion sound like it's about subjective perspectives.