Eric Loken and Andrew Gelman point out that measurement error also greatly exacerbates the problem. This is why we consider the signal-to-noise ratio in whatever is being measured in a scientific study. In a noisy environment, measurement errors are magnified, and the predictive value of a p-value plummets.
