Score contribution per author:
α: calibrated so average coauthorship-adjusted count equals average raw count
In response to the replication crisis in science, a group of prominent scholars has proposed redefining statistical significance by reducing the p-value significance threshold from 0.05 to 0.005. Rather than solving the replication problem, I show that lowering the significance threshold can increase the rate of false positives by creating a negative selection effect. Thus, redefining statistical significance may not be a silver bullet for solving the replication crisis.