A decision procedure tries to say whether some hypothesis H holds or does not (usually based on some observed data, O). If it says H does hold, it is said to give a positive. If, in fact, H does not hold, this is a false positive.

For procedures that always decide in the positive or in the negative, there is usually a tradeoff between false negatives and false positives.

See also sensitivity.