I cannot agree more with that, and it's become a topic of frustration for some of us here.
Everyone (myself included) have opinions. And, in the absence of facts, opinions are acceptable, but perhaps not helpful.
But when there are tools available (PCs and UOAs) that can show us how well things can perform, why not utilize them?
Further, when we do utilize them, most folk fall into one or more of these catagories:
They pay for UOAs but do not understand how to interpret them properly ...
a- because they do not understand statistical analysis
b- because they don't understand the relationship of direct and indirect UOA indicators
c- they confuse causation with correlation
Point being this:
Why ask about filters? Rather, why not put together a well-designed experiment and post the results.
Most people pay for UOAs, hop from brand/grade to brand/grade, and cannot develop a decent data stream to glean info from. And they either misinterpret the data, or ignore it all together. And then they ask (or profess) what's "best" based upon a poor mantra of rationale.
The OP needs to establish a baseline of UOAs with his current condition, and then manipulate one variable at a time to see which, if any, filter would be "better" for his situation. It would take tens of thousands of miles to establish this, and most BITOGers are simply to ADD to have the patience of this approach.
But why let facts and data get in the way of mythology and rhetoric?