Nonreplicable publications are cited more than replicable ones
Open accessAbstract
We use publicly available data to show that published papers in top psychology, economics, and general interest journals that fail to replicate are cited more than those that replicate. This difference in citation does not change after the publication of the failure to replicate. Only 12% of postreplication citations of nonreplicable findings acknowledge the replication failure. Existing evidence also shows that experts predict well which papers will be replicated. Given this prediction, why are nonreplicable papers accepted for publication in the first place? A possible answer is that the review team faces a trade-off. When the results are more "interesting," they apply lower standards regarding their reproducibility.
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Non-replicable findings are cited more than replicable ones.
“Non-replicable findings are cited more than replicable ones,1”
From Leakage and the reproducibility crisis in machine-learning-based science (2023) · cites this paper as [1]
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Clark, C. J., Winegard, B., Beardslee, J., Baumeister, R. F., & Shariff, A. (2020) · Psychological Science · doi:10.1177/0956797619897915 · Cited by 16 · see citing works
RetractedEstimating the reproducibility of psychological science
Open Science Collaboration (2015) · Science · doi:10.1126/science.aac4716 · Cited by 8,515 · see citing works
Nelder, J. A., & Wedderburn, R. W. M. (1972) · Journal of the Royal Statistical Society Series A (General) · doi:10.2307/2344614 · Cited by 7,321 · see citing works
Simmons, J. P., Nelson, L. D., & Simonsohn, U. (2011) · Psychological Science · doi:10.1177/0956797611417632 · Cited by 6,567 · see citing works
Regression Analysis of Count Data: Author Index
Cameron, A., & Trivedi, P. (1998) · Cambridge University Press eBooks · doi:10.1017/cbo9780511814365 · Cited by 6,406 · see citing works
Redefine statistical significance
Benjamin, D. J., Berger, J. O., Johannesson, M., Nosek, B. A., Wagenmakers, E.-J., Berk, R., Bollen, K. A., Brembs, B., Brown, L., Camerer, C., et al. (2017) · Nature Human Behaviour · doi:10.1038/s41562-017-0189-z · Cited by 2,772 · see citing works
Promoting an open research culture
Nosek, B. A., Alter, G., Banks, G. C., Borsboom, D., Bowman, S. D., Breckler, S. J., Buck, S., Chambers, C. D., Chin, G., Christensen, G., et al. (2015) · Science · doi:10.1126/science.aab2374 · Cited by 2,708 · see citing works
Camerer, C. F., Dreber, A., Holzmeister, F., Ho, T.-H., Huber, J., Johannesson, M., Kirchler, M., Nave, G., Nosek, B. A., Pfeiffer, T., et al. (2018) · Nature Human Behaviour · doi:10.1038/s41562-018-0399-z · Cited by 1,521 · see citing works
Evaluating replicability of laboratory experiments in economics
Camerer, C. F., Dreber, A., Forsell, E., Ho, T.-H., Huber, J., Johannesson, M., Kirchler, M., Almenberg, J., Altmejd, A., Chan, T., et al. (2016) · Science · doi:10.1126/science.aaf0918 · Cited by 1,314 · see citing works
Investigating Variation in Replicability: A “Many Labs” Replication Project
Klein, R. A., Ratliff, K. A., Vianello, M., Adams, R. B., Bahník, Š., Bernstein, M. J., Bocian, K., Brandt, M. J., Brooks, B., Brumbaugh, C. C., et al. (2014) · Social Psychology · doi:10.1027/1864-9335/a000178 · Cited by 1,208 · see citing works
Many Labs 2: Investigating variation in replicability across samples and settings
Klein, R. A., Vianello, M., Hasselman, F., Adams, B. G., Adams, R. B., Alper, S., Aveyard, M., Axt, J. R., Babalola, M. T., Bahník, Š., et al. (2018) · Advances in Methods and Practices in Psychological Science · doi:10.1177/2515245918810225 · Cited by 944 · see citing works
Simonsohn, U., Simmons, J. P., & Nelson, L. D. (2020) · Nature Human Behaviour · doi:10.1038/s41562-020-0912-z · Cited by 651 · see citing works
Many Labs 3: Evaluating participant pool quality across the academic semester via replication
Ebersole, C. R., Atherton, O. E., Belanger, A. L., Skulborstad, H. M., Allen, J. M., Banks, J. B., Baranski, E., Bernstein, M. J., Bonfiglio, D. B. V., Boucher, L., et al. (2016) · Journal of Experimental Social Psychology · doi:10.1016/j.jesp.2015.10.012 · Cited by 468 · see citing works
Measuring the effectiveness of scientific gatekeeping
Siler, K., Lee, K. P., & Bero, L. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1418218112 · Cited by 338 · see citing works
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Brodeur, A., Cook, N., & Heyes, A. (2020) · American Economic Review · doi:10.1257/aer.20190687 · Cited by 333 · see citing works
Using prediction markets to estimate the reproducibility of scientific research
Dreber, A., Pfeiffer, T., Almenberg, J., Isaksson, S., Wilson, B., Chen, Y., Nosek, B. A., & Johannesson, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1516179112 · Cited by 331 · see citing works
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Lu, S. F., Jin, G. Z., Uzzi, B., & Jones, B. (2013) · Scientific Reports · doi:10.1038/srep03146 · Cited by 191 · see citing works
Specification curve analysisPreprint
Schweinsberg, M., Amireh, H., Tierney, W., Mohamed, Z., & Uhlmann, E. L. (2019) · Cited by 138 · see citing works
What Do Editors Maximize? Evidence from Four Economics Journals
Card, D., & DellaVigna, S. (2020) · The Review of Economics and Statistics · doi:10.1162/rest_a_00839 · Cited by 123 · see citing works
Estimating the deep replicability of scientific findings using human and artificial intelligence
Yang, Y., Youyou, W., & Uzzi, B. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1909046117 · Cited by 99 · see citing works
Predicting replication outcomes in the Many Labs 2 study
Forsell, E., Viganola, D., Pfeiffer, T., Almenberg, J., Wilson, B., Chen, Y.-L., Nosek, B. A., Johannesson, M., & Dreber, A. (2018) · Journal of Economic Psychology · doi:10.1016/j.joep.2018.10.009 · Cited by 97 · see citing works
Predicting the replicability of social science lab experiments
Altmejd, A., Dreber, A., Forsell, E., Huber, J., Imai, T., Johannesson, M., Kirchler, M., Nave, G., & Camerer, C. F. (2019) · PLoS ONE · doi:10.1371/journal.pone.0225826 · Cited by 89 · see citing works
Specification Searching and Significance Inflation Across Time, Methods and Disciplines
Vivalt, E. (2019) · Oxford Bulletin of Economics and Statistics · doi:10.1111/obes.12289 · Cited by 58 · see citing works
Association between contextual dependence and replicability in psychology may be spurious
Inbar, Y. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1608676113 · Cited by 56 · see citing works
Science Fictions: How Fraud, Bias, Negligence, and Hype Undermine the Search for Truth
Ritchie, S. J. (2020) · Cited by 50 · see citing works
Probabilistic forecasting of replication studies
Pawel, S., & Held, L. (2020) · PLoS ONE · doi:10.1371/journal.pone.0231416 · Cited by 32 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [25]A. C. Cameron, P. K. Trivedi, Regression Analysis of Count Data (Cambridge Univ. Press, ed. 2, 1998).
- [27]Measuring your Research Impact: Journal Citation Reports (April 9, 2020); https://ucsd.libguides.com/ResearchImpact/JCR.
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Priestley, D. R., Staph, J., Koneru, S., Rajtmajer, S. M., Cwiek, A. P., Vervoordt, S. M., & Hillary, F. G. (2022) · Brain Communications · doi:10.1093/braincomms/fcac322 · Cited by 7 · see citing works
On the Continued Need for Replication in Media and Communication Research
Bowman, N. D. (2024) · Media and Communication · doi:10.17645/mac.7935 · Cited by 8 · see citing works
To “P” or not to “P”, that is the question: A narrative review on P value
Darling, H. (2021) · Cancer Research Statistics and Treatment · doi:10.4103/crst.crst_222_21 · Cited by 7 · see citing works
Shaw, S. D., & Nave, G. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.114129 · Cited by 8 · see citing works
Forking Paths in Empirical StudiesPreprint
Coqueret, G. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.3999379 · Cited by 8 · see citing works
Pattinson, D., & Currie, G. (2025) · Learned Publishing · doi:10.1002/leap.2012 · Cited by 20 · see citing works
On the Realized Risk of Foreign Exchange Rates: A Fractal Perspective
Fathi, M., Grobys, K., & Kolari, J. W. (2024) · Journal of risk and financial management · doi:10.3390/jrfm17020079 · Cited by 6 · see citing works
Scientific rot: Unsustainable publishing practices threatens trust in medicine
Heen, E., & Vogt, H. (2024) · Journal of Evaluation in Clinical Practice · doi:10.1111/jep.13989 · Cited by 7 · see citing works
Good Practice Guideline for Preclinical Alcohol Research: The STRINGENCY Framework
Meinhardt, M. W., Gerlach, B., & Spanagel, R. (2024) · Current topics in behavioral neurosciences · doi:10.1007/7854_2024_484 · Cited by 7 · see citing works
Dougherty, M. R. P., & Horne, Z. (2019) · doi:10.31234/osf.io/9g5wk · Cited by 6 · see citing works
The Case for Preregistering Quasi-Experimental Program and Policy Evaluations
Dee, T. S. (2025) · Evaluation Review · doi:10.1177/0193841x251326738 · Cited by 6 · see citing works
Estimating the replicability of highly cited clinical research (2004–2018)
da Costa, G. G., Neves, K., & Amaral, O. B. (2024) · PLoS ONE · doi:10.1371/journal.pone.0307145 · Cited by 8 · see citing works
The Controversy behind the Controversies: Scientific Discourse in the Twenty-First Century
Fahnestock, J. (2025) · Rhetoric Society Quarterly · doi:10.1080/02773945.2025.2484162 · Cited by 5 · see citing works
Tang, B. L. (2024) · Accountability in Research · doi:10.1080/08989621.2024.2345714 · Cited by 5 · see citing works
The Erosion of Healthcare and Scientific Integrity: A Growing Concern
Brücher, B. L. D. M. (2025) · Journal of Healthcare Leadership · doi:10.2147/jhl.s506767 · Cited by 6 · see citing works
Engaging in Student-Centered Educational Data Science Through Learning Engineering
Campenhout, R. V., Jerome, B., & Johnson, B. G. (2023) · Big data management · doi:10.1007/978-981-99-0026-8_1 · Cited by 5 · see citing works
Logical Fallacies: How They Undermine Critical Thinking and How to Avoid ThemPreprint
Friedman, H. H., & Kaganovskiy, L. (2024) · SSRN Electronic Journal · doi:10.2139/ssrn.4794200 · Cited by 5 · see citing works
Towards reliable data augmentation in machine learning: Practices to prevent data leakage
Gerz, F., & Jelali, M. (2026) · Smart Agricultural Technology · doi:10.1016/j.atech.2026.102462 · Cited by 4 · see citing works
Show your work: Tools for open developmental science
Gilmore, R. O. (2022) · Advances in child development and behavior · doi:10.1016/bs.acdb.2022.01.001 · Cited by 3 · see citing works
White, M. A., & Burns, N. R. (2022) · Drug Science Policy and Law · doi:10.1177/20503245221119046 · Cited by 4 · see citing works
Unwrapping the McDonald's model: An introduction to dynamic social theory
Alexander, T. (2023) · The Journal of American Culture · doi:10.1111/jacc.13467 · Cited by 4 · see citing works
Retractions: Updating from Complex Information
Gonçalves, D., Libgober, J., & Willis, J. (2021) · The Review of Economic Studies · doi:10.1093/restud/rdaf032 · Cited by 5 · see citing works
- Authors
- Serra-Garcia, M., & Gneezy, U.
- Affiliations
- Rady School of Management, University of California, San Diego La Jolla, CA, USA.
- Venue
- Science Advances
- Published
- 2021-05-21
- Volume
- 7
- Issue
- 21
- ISSN
- 2375-2548 (ISSN-L)
- PMC
- PMC8139580
- OpenAlex
- W3160678577
- Cited by
- 177
- References
- 26
- Citations by year
- 2026: 9 · 2025: 22 · 2024: 32 · 2023: 39 · 2022: 47 · 2021: 25 · 2020: 1 · 2019: 2
- FWCI
- 20.72
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Science Advances (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Psychology Research and Bibliometrics
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Keywords
- replication failure, citation impact, reproducibility, peer review, publication standards, scientific credibility, psychology journals, economics journals
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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