Now the Neyman-Pearson, as outlined by Wikipedia says:
when performing a hypothesis test between two point hypotheses H0: θ=θ0 and H1: θ=θ1, then the likelihood-ratio test which rejects H0 in favour of H1 whenNow for those of you who need further explanation without clicking over to Wikipedia:
The power of a statistical test is the probability that the test will reject a false null hypothesis, or in other words that it will not make a Type II error. As power increases, the chances of a Type II error decrease, and vice versa. The probability of a Type II error is referred to as β. Therefore power is equal to 1 − β.
What this means is that Dick Cheney guaranteed the consequences of making a Type I error (falsely calling the null hypothesis the alternative) would increase.
Hence all the bullshit we've been seeing...