• To be honest, I'm a bit embarrassed here as everyone seems to get it but me. I understand how this stuff works (when it comes to the type of the stats I do). I've published papers that rely on robust precision and recall testing. I've spent lots of time worrying about false/true positives/negatives in my datasets and analyses. I just don't quite get what it is you're trying to convince me of if it's not what I've already laid out (or if it's just that the results will not be a perfect match for reality, then we never disagreed).

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