Everything Hertz

We answer a listener question on identifying red flags for errors in papers. Is there a way to better equip peer-reviewers for spotting errors and suspicious data? More details and links... We answer an audio question from Kim Mitchell (https://twitter.com/academicswrite). Submit your audio questions via our website (https://everythinghertz.com/audio-question) Nick Brown's blogpost (http://steamtraen.blogspot.com/2020/04/some-issues-in-recent-gaming-research.html) on the video game "study" We ran a live survey using Prolific! Go to prolific.com/everythinghertz to get $50 worth of credit for $1 Spotting unlikely data in meta-analysis How can make reviewers better at detecting errors in papers? Using a "Red team (https://en.wikipedia.org/wiki/Red_team)" to pull apart your papers What do lay people think really happens in peer review? Other links - Dan on twitter (www.twitter.com/dsquintana) - James on twitter (www.twitter.com/jamesheathers) - Everything Hertz on twitter (www.twitter.com/hertzpodcast) - Every