I clarified multiple times that I meant "accurate, representative data" to "derive accurate probabilities"

you are still employing underhanded techniques in an attempt "win an internet debate" (my impression)

try being more accommodating and flexible over repeating the same lame things

it's not hard to say, "ah I see what you were trying to say..." and move towards a more constructive conversation

RLCR / Jev et al. can only give as accurate predictions and probabilities as the underlying data they are trained on represents. Biased data results in biased probabilities, no algorithm fixes this. Can we agree on this point?