110: Red flags for errors in papers

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) - Everything Hertz on Facebook (www.facebook.com/everythinghertzpodcast/) Music credits: Lee Rosevere (freemusicarchive.org/music/Lee_Rosevere/) Support us on Patreon (https://www.patreon.com/hertzpodcast) and get bonus stuff! $1 a month or more: Monthly newsletter + Access to behind-the-scenes photos & video via the Patreon app + the the warm feeling you're supporting the show $5 a month or more: All the stuff you get in the one dollar tier PLUS a bonus mini episode every month (extras + the bits we couldn't include in our regular episodes) Buy our merch from our online store (https://teespring.com/stores/everything-hertz-podcast)! We've got hats, mugs, hoodies, shirts + more https://vangogh.teespring.com/v3/image/MMTLZXJvOr6yzbqO5k5mdkmfFhY/480/560.jpg