Quoting authorities without further commentary is a dick thing to do. I am going to spend more words speculating about the intention of the quote than are in the quote, let alone that you bothered to type.
I have no idea what you think is relevant about that passage. It says exactly what I said, except transformed from the effect size scale to the p-value scale. But somehow I doubt that’s why you posted it. The most common problem in the comments on this thread is that people confuse false positive rate with false negative rate, so my best guess is that you are making that mistake and thinking the passage supports that error (though I have no idea why you’re telling me). Another possibility, slightly more relevant to this subthread, is that you’re pointing out that some people use other p-values. But in medicine, they don’t. They almost always use 95%, though sometimes 90%.
Quoting authorities without further commentary is a dick thing to do. I am going to spend more words speculating about the intention of the quote than are in the quote, let alone that you bothered to type.
I have no idea what you think is relevant about that passage. It says exactly what I said, except transformed from the effect size scale to the p-value scale. But somehow I doubt that’s why you posted it. The most common problem in the comments on this thread is that people confuse false positive rate with false negative rate, so my best guess is that you are making that mistake and thinking the passage supports that error (though I have no idea why you’re telling me). Another possibility, slightly more relevant to this subthread, is that you’re pointing out that some people use other p-values. But in medicine, they don’t. They almost always use 95%, though sometimes 90%.
My confusion is about “at least” vs. “exactly”. See my answer to Cyan.