I love talking to ChatGPT because it is actually able to process arguments in a rational manner without motivated biases (at least about topics like average power). The document is a transcript of my discussion with ChatGPT about McShane et al.’s article “Average Power: A Cautionary Note” The article has been cited as “evidence” that average power estimates are useless or even fundamentally flawed. As you can see from the discussion that is an overstatement. Like all estimates of unknown population parameters, it is possible that estimates are biased, but the problems are by no means greater than the problems in estimates of other meta-analytic averages. After offering some arguments in favor of using average power estimates, ChatGPT agrees that it can provide useful information to evaluate the presence of publicatoin bias in original studies and to predict the outcome of replication studies and to evaluate discrepancies in success rates between original and replication studies.