articleRoyal Society Open ScienceSep 1, 2016GOLD OA

The natural selection of bad science

University of California, Merced · Max Planck Institute for Evolutionary Anthropology

PubMed
Indexed inarxivcrossrefdoajpubmed

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

890
total citations
FWCI
116.32
Percentile
100%
References
111
Citations per year

Authors

2

Topics & keywords

Keywords
  • Cheating
  • Incentive
  • Popularity
  • Replication (statistics)
  • Normative
  • Process (computing)
  • Argument (complex analysis)
  • Data science
UN Sustainable Development Goals
  • No poverty
No related works found for this paper.