This annoys me because she doesn't talk at all about the power of the study. Usually, when you see statistically insignificant positive changes across the board in a study without much power, its a suggestion you should hesitantly update a very tiny bit in the positive direction, AND you need another study, not a suggestion you should update downward.
When ethics prevent us from constructing high power statistical studies, we need to be a bit careful not to reify statistical significance.
If the effect is so small that a sample of several thousand is not sufficient to reliably observe it, then it doesn't even matter that it is positive. An analogy: Suppose I tell you that eating garlic daily increases your IQ, and point to a study with three million participants and P < 1e-7. Vastly significant, no? Now it turns out that the actual size of the effect is 0.01 points of IQ. Are you going to start eating garlic? What if it weren't garlic, but a several-billion-dollar government health program? Statistical significance is indeed not everythi...
Here's another installment of rationality quotes. The usual rules apply: