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.
Submit your audio questions via our website
Nick Brown's blogpost 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" 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/)

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Cite this episode
Quintana, D.S., Heathers, J.A.J. (Hosts). (2020, June 15) "110: Red flags for errors in papers", Everything Hertz [Audio podcast], DOI: 10.17605/OSF.IO/VTYNG

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