P-curves are better at effect size estimation than trim-and-fill (and Michael Jordan is better at free throws than I am)

I like p-curve analyses. They are a great tool to evaluate whether sets of studies have evidential value or not. In a recent paper, Simonsohn, Nelson, & Simmons (2014) show how p-curve analyses can correct for publication bias using only significant results. That’s pretty cool. However, trim-and-fill is notoriously bad at unbiased effect size estimation.