The natural selection of bad science
University of California, Merced · Max Planck Institute for Evolutionary Anthropology
Abstract
Poor research design and data analysis encourage false-positive findings. Such poor methods persist despite perennial calls for improvement, suggesting that they result from something more than just misunderstanding. The persistence of poor methods results partly from incentives that favour them, leading to the natural selection of bad science. This dynamic requires no conscious strategizing-no deliberate cheating nor loafing-by scientists, only that publication is a principal factor for career advancement. Some normative methods of analysis have almost certainly been selected to further publication instead of discovery. In order to improve the culture of science, a shift must be made away from correcting…
Citation impact
- FWCI
- 116.32
- Percentile
- 100%
- References
- 111
Authors
2Topics & keywords
- Cheating
- Incentive
- Popularity
- Replication (statistics)
- Normative
- Process (computing)
- Argument (complex analysis)
- Data science
- No poverty