

Research misconduct: how the scientific community is fighting back
13 snips Sep 8, 2025
The podcast dives into the alarming rise of research misconduct, including infamous cases of data manipulation like Brian Wansink's. It explores the troubling trend of 'paper mills' selling questionable studies, raising concerns over the reliability of published research. Volunteer groups are spotlighted for their efforts in uncovering inaccuracies, emphasizing the need for integrity in science. The discussion also highlights the critical role of independent investigations and the collaborative strategies being implemented to combat these challenges and restore trust in scientific inquiry.
AI Snips
Chapters
Transcript
Episode notes
High-Profile Misconduct Uncovered
- Brian Wansink's blog post led sleuths to find 150 inconsistencies across pizza-eating papers and triggered investigations.
- Cornell later found him guilty of academic misconduct after 12 retractions and two institutional probes.
The Problem With P-Hacking
- P-hacking produces apparently significant results by trying many analyses until one crosses p<0.05.
- This practice can create false positives that mislead readers and policy makers.
Misconduct Prevalence Is Uncertain
- Surveys estimate some researchers admit fabricating data, but prevalence estimates vary widely and are debated.
- Measuring misconduct is hard because definitions and contexts differ across countries and fields.