You want me to derail your thread by coming up with a definition for a word I don't even use?
What kind of bullshit is this? But you know what.... lets see where your stupid leads.
Here's an experiment design.
Members of the public are put in a shoot/no-shoot training scenario where people of different races jump out holding either cellphones (no threat)
or a gun (threat). The experiment participant then makes the shoot/no-shoot decision and the "correctness" of the decision is recorded.
All errors (which in a real-world scenario would closely represent corpses) are to be counted.
If we were to count all the errors, and it turns out that black suspects were being accidentally shot
more than non-black suspects, would you accept this as proof of an underlying bias?