... Archives . ... Statistically speaking, ?false sources? are generally in the domain of Type II Type I errors, defined by the probability of detecting a signal where there is none. ... More than 2.3% of the sources are flagged as spurious. ... Type II error is claiming no signal when there is signal (failing to reject the null hypothesis when the alternative is true). Type I error is rejecting the null hypothesis when the null is true, i.e. detecting signal under no signal. ... Chandra Blog . ...