Podcasts Science Everything Hertz 110: Red flags for errors in papers

110: Red flags for errors in papers

Published: June 15, 2020, 6 a.m.

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?

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More details and links...

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  • We answer an audio question from Kim Mitchell.
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  • Submit your audio questions via our website
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  • Nick Brown's blogpost on the video game "study"
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  • We ran a live survey using Prolific! Go to prolific.com/everythinghertz to get $50 worth of credit for $1
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  • Spotting unlikely data in meta-analysis
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  • How can make reviewers better at detecting errors in papers?
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  • Using a "Red team" to pull apart your papers
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  • What do lay people think really happens in peer review?
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Other links

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Music credits: [Lee Rosevere](freemusicarchive.org/music/Lee_Rosevere/)

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Cite this episode
\nQuintana, 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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