>the 0,7% false positive is of works already hidden and not works in general.
That is not what false positive means. The meaning of false positive is probability of a positive on test A conditional to A being negative. What you are using is probability of A being negative conditional to a positive on test A.
Nobody uses your definition because it is very sensitive to the ratio of positive to negative in the population you are testing, while the correct one is only sensitive to the quality of the testing process.
If you want to make up your own flawed definitions, don't go around "correcting" people that follow the norm, darling.
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Foxglove87B Fri 24 Nov 2017 01:16PM UTC
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