Talk:False positives and false negatives

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I don't think the terminology fits pure science because the issues raised by hypothesis testing are so very much more complex. And I don't see it used in the monumental two volumes of Bunge's Scientific research. Consequently I think it has to do with testing in almost any field of practical knowledge such as engineering or medicine. If that is so, then it is really similar to Type I and II in statistics, except that in statistics one would be talking about sampling data, whereas in medicine one would be talking about selecting a suitable test method. For what it's worth, English wiki also treats it as applicable to practical forms of knowledge. Macdonald-ross (talk) 09:05, 27 October 2014 (UTC)

I do not know to what extent we need to make a difference between the two; even though, the fields of science I had to deal with to date, the commonly used term was that of false positive / false negative, rather than a Type I or II error. --Eptalon (talk) 12:29, 27 October 2014 (UTC)