I did not lay claim to epistemic truth. I referenced epistemology. That is, there are a plurality of epistemologies, all of which have their own epistemic truth mechanics.
So I would agree with you, entirely!
I was merely pointing out that statistical correlation alone affords no epistemological basis.
The issue is that the definition of “statistics” is anchored in a magnitude of frequency of glyphs. The “information” is fabricated in this regard, pulled up out of the ether, and by decree christened as “meaning”.
Numbers carry no meaning, nor do the magnitudes arbitrarily assigned to meaning. The map is not the territory.
Epistemology 101. Statistical pattern matching has no epistemological truth beyond a correspondence of linguistic statistics.
It is merely statistical probability, which hardly can be classified as an epistemological basis. If we pretend for a moment it is, the ontologies formed are most certainly peculiar, and we can expect ideologies that emerge out of the ontologies are problematic.
This is not technically correct as best as I can ascertain.
When we think about AA, it is a representation of sub pixel occlusion. As such, using uniform tristimulus to sample the “in between” value is incorrect.
There is simply no “correct” approach because there are no known models that properly model visual cognition.
What we can say though, is that the intermediate subpixel should not sample RGB tristimulus, but a loose nonuniform representation that approximates the lower order visual signal representation.
When discarding signal, RGB tristimulus is more “correct”. When interpolating the signal, approximate lightness is more “correct”. Some solid analysis is available here: https://hhoppe.com/filtering.pdf
Sure you did buddy. Sure you did. The whole idea of the SAT was an expansive control of capital when the USA grew too large for word-of-mouth recommendation systems.
But you knew that too right? You also knew that it was basically designed to keep undesirables out of the capital class too, right? Guess who those people were.
