As a biologist I would argue that we also cannot dwell too much on p values. The true test is to design follow up experiments to test causal predictions from ma

As a biologist I would argue that we also cannot dwell too much on p values. The true test is to design follow up experiments to test causal predictions from many of these borderline p value phenomena, for example: analyzing microarrays data to find interesting GO categories. Whether it's p=.001 or p=.051 is less important than whether or not it provides a good clue to the underlying mechanistic biology, and there is no way to address that without designing specific follow up experiments. That's why experimentalists don't dwell too much upon p values. They're, for the most part, a clue.