The point I was trying to get at is nobody uses their eyes the same way--people value different attributes differently, people evaluating the same player see different value. Hell, look at our GDTs--five different people will give five different opinions on the same sequence of plays. Some value a physical game, others don't. Our brains' screens and biases filter what we see and how we interpret it. Why, then, do statistics have to be used the exact same way by everyone before they have any value? Applying the logic of 2+2 must equal 4 before we're confident in the stats to the eye test would render traditional evaluation methods completely unusable.
To the bigger point, one of my biggest pet peeves is that statistics are held to a very different standard for evaluation than traditional scouting is. Using imperfection against statistical analysis is such a weak argument, since identical imperfection and uncertainty exists with the traditional methods...yet nobody dismisses them out of hand because of it. Only stats get that treatment. New stats have challenged preconceived notions about what is important and what isn't, and many old school hockey people have responded how anyone else in any other walk of life does when presented with new information that challenges them: dig the heels in and reject the new way of looking at things.
We also need to stop conflating the use of individual statistics in decision making with statistical modeling and blind adherence to that model (which is something nobody advocates anyway). But that's a whole other rant.
If you prefer that style of play, that's totally fine. But the whole "It's always been this way" is a really bad argument.