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Media Stars: Statistical Significance and Research Impact

Author

Listed:
  • Brodeur, Abel
  • Cook, Nikolai M.
  • Heyes, Anthony
  • Wright, Taylor

Abstract

How efficiently do scientific results make their way into the wider world? Applying multiple methods to the universe of hypothesis tests reported in three leading health journals between 2016 and 2022 we evidence the important role of statistical significance as a driver of popular attention to research results. For example, a research finding with significance that places it marginally inside the arbitrary 5% threshold attracts 60 to 110% more real world attention than one with significance marginally outside that threshold. We explore underlying mechanisms and argue that the results have important implications for the (in)efficiency of science translation.

Suggested Citation

  • Brodeur, Abel & Cook, Nikolai M. & Heyes, Anthony & Wright, Taylor, 2025. "Media Stars: Statistical Significance and Research Impact," I4R Discussion Paper Series 254, The Institute for Replication (I4R).
    • Handle: RePEc:zbw:i4rdps:254
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    JEL classification:

    • B41 - Schools of Economic Thought and Methodology - - Economic Methodology - - - Economic Methodology
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • I10 - Health, Education, and Welfare - - Health - - - General
    • L82 - Industrial Organization - - Industry Studies: Services - - - Entertainment; Media

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