Oh, wow. I read the article and the bit where he said "I waited for eight years so I'd have enough data to be sure it wasn't a fluke" sounded to me like it took him eight years to find a fluke big enough that it fell within the publishable p-value range - if this comment is true then he either doesn't understand statistics (bad), or is manipulating the statistics (very bad). One possibility is that he's doing this as a proof of concept that the p-value criteria is flawed: cognitive dissonance in academics trying to disbelieve a sound study showing psychic phenomenon would be a powerful force indeed to enact change.
According to the New Scientist, Daryl Bern has a paper to appear in Journal of Personality and Social Psychology, which claims that the participants in psychological experiments are able to predict the future. A preprint of this paper is available online. Here's a quote from the New Scientist article:
Question: even assuming the methodology is sound, given experimenter bias, publication bias and your priors on the existence of psi, what sort of p-values would you need to see in that paper in order to believe with, say, 50% probability that the effect measured is real?