New scientific articles that support the NHST Myth are regularly published. Find an extensive list of references here.

Amrhein V., Greenland S., McShane B. (2019) Retire statistical significance Nature, 567: 305-307

Bakker, M., & Wicherts, J. M. (2011). The (mis)reporting of statistical results in psychology journals. Behavior Research Methods, 43(3), 666-678. doi:10.3758/s13428-011-0089-5

Trafimow D., Amrhein V., Areshenkoff CN., et al. (2017) Manipulating the alpha level cannot cure significance testing – comments on “Redefine statistical significance” PeerJ Prepints 5: e3411v1 https://

Bouter, L. M. (2016). Open data are not enough to realize full transparency. Journal of Clinical Epidemiology, 70, 256-257. doi:10.1016/j.jclinepi.2015.05.032

Bouter, L. M. (2016). The research integrity expert. Times Higher Educational Supplement.

Bouter, L. M. (2016). Is science in big trouble? European Science Editing, 42(4), 86. DOI: 10.20316/ESE.2016.42.026

Greenland S., Senn S.J., Rothman K.J., Carlin J.B., Poole C., Goodman S.N., Altman D.G.. Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations. Eur J Epidemiol. 2016 Apr;31(4):337-50. doi: 10.1007/s10654-016-0149-3. Epub 2016 May 21. PubMed PMID: 27209009; PubMed Central PMCID: PMC4877414.

Groot, A. D. de (1956/2014). The meaning of “significance” for different types of research [translated and annotated by Eric-Jan Wagenmakers, Denny Borsboom, Josine Verhagen, Rogier Kievit, Marjan Bakker, Angelique Cramer, Dora Matzke, Don Mellenbergh, and Han L. J. van der Maas]. Acta Psychologica, 148, 188-194. doi:10.1016/j.actpsy.2014.02.001

Halsey L.G., Curran-Everett D., Vowler S.L., Drummond G.B. The fickle P value generates irreproducible results. Nat Methods. 2015 Mar;12(3):179-85. doi: 10.1038/nmeth.3288. PubMed PMID: 25719825.

Ioannidis, J. P. (2005). Why Most Published Research Findings Are False. PLoS Medicine, 2(8). doi:10.1371/journal.pmed.0020124

Konijn, E. A., Schoot, R. V., Winter, S. D., & Ferguson, C. J. (2015). Possible Solution to Publication Bias Through Bayesian Statistics, Including Proper Null Hypothesis Testing. Communication Methods and Measures, 9(4), 280-302. doi:10.1080/19312458.2015.1096332

Lytsy, P. (2018) P in the right place: Revisiting the evidential value of P-values Methodology 11(4):288-291 DOI: 10.1111/jebm.12319

Schneider, J.W. (2015) Null hypothesis significance tests. A mix-up of two different theories: the basis for widespread confusion and numerous misinterpretations Scientometrics 102:411–432 DOI 10.1007/s11192-014-1251-5

Schoot, R. V., Hoijtink, H., & Jan-Willem, R. (2011). Moving Beyond Traditional Null Hypothesis Testing: Evaluating Expectations Directly. Frontiers in Psychology, 2. doi:10.3389/fpsyg.2011.00024

Szucs D., Ioannidis J.P.A. When Null Hypothesis Significance Testing Is Unsuitable for Research: A Reassessment. Front Hum Neurosci. 2017 Aug 3;11:390. doi: 10.3389/fnhum.2017.00390. eCollection 2017. Review. PubMed PMID: 28824397; PubMed Central PMCID: PMC5540883.

Tijdink, J. K., Schipper, K., Bouter, L. M., Pont, P. M., Jonge, J. D., & Smulders, Y. M. (2016). How do scientists perceive the current publication culture? A qualitative focus group interview study among Dutch biomedical researchers. BMJ Open, 6(2). doi:10.1136/bmjopen-2015-008681

Trafimow, D., & Rice, S. (2009). What If Social Scientists Had Reviewed Great Scientific Works of the Past? Perspectives on Psychological Science, 4(1), 65-78. doi:10.1111/j.1745-6924.2009.01107.x

Valentine, J. C., Aloe, A. M., & Lau, T. S. (2015). Life After NHST: How to Describe Your Data Without “p-ing” Everywhere. Basic and Applied Social Psychology, 37(5), 260-273. doi:10.1080/01973533.2015.1060240

Wagenmakers, E. (2007). A practical solution to the pervasive problems of p values. Psychonomic Bulletin & Review, 14(5), 779-804. doi:10.3758/bf03194105

Wasserstein, R. L., & Lazar, N. A. (2016). The ASA’s Statement on p-Values: Context, Process, and Purpose. The American Statistician, 70(2), 129-133. doi:10.1080/00031305.2016.1154108

Wasserstein R.L., Schirm A.L., Lazar N.A. (2019) Moving to a World Beyond “p < 0.05” The American Statistician, 73:sup1, 1-19