> core to being a human, for better or worse

That is not a free pass.

> not accurate to make generalizations

Making generalizations (description - when correct - of average, median, "mode"/type) is "accurate" by definition for the population, and incredibly stupid to describe individuals.

From notes:

  Accuracy: correct results
  Sensitivity: identified positives (True Positive Rate)
  Specificity: identified negatives (True Negative Rate)
  Precision: correct positive results (Positive Predictive Value)
  Miss Rate: correct negative results (False Negative Rate)
  False Discovery Rate: incorrect positive results
  False Omission rate: incorrect negative results