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Mitzenmacher, M.  2015.  Theory Without Experiments: Have We Gone Too Far? Commun. ACM. 58:40–42. Abstract
Lehrer, J.  2010.  The Truth Wears Off: Is there something wrong with the scientific method? The New Yorker. (December 13, 2010):52. Abstract
Blackburn, SM, Diwan A, Hauswirth M, Sweeney PF, Amaral J N, Brecht T, Bulej L\'ır, Click C, Eeckhout L, Fischmeister S et al..  2016.  The Truth, The Whole Truth, and Nothing But the Truth: A Pragmatic Guide to Assessing Empirical Evaluations. ACM Trans. Program. Lang. Syst.. 38:15:1–15:20. Abstract
Bailey, DH.  1991.  Twelve ways to fool the masses when giving performance results on parallel computers. Supercomputing Review. :54--55. Abstract
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[Anonymous].  2013.  Unreliable research: Trouble at the lab. The Economist. Abstract
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Tufte, ER.  1986.  The Visual Display of Quantitative Information.
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Blackburn, SM, McKinley KS, Garner R, Hoffmann C, Khan AM, Bentzur R, Diwan A, Feinberg D, Frampton D, Guyer SZ et al..  2008.  Wake Up and Smell the Coffee: Evaluation Methodology for the 21st Century. Commun. ACM. 51:83–89.
Norvig, P.  2012.  Warning Signs in Experimental Design and Interpretation. 2012 Abstract
Ioannidis, JPA.  2005.  Why Most Published Research Findings Are False. PLoS Medicine. 2:e124. Abstract
Prechelt, L.  1997.  Why We Need an Explicit Forum for Negative Results. Journal of Universal Computer Science. 3:1074–1083. Abstract
Oreskes, N.  2014.  Why we should trust scientists. Abstract
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Clark, B, Deshane T, Dow E, Evanchik S, Finlayson M, Herne J, Matthews J N.  2004.  Xen and the art of repeated research. Proceedings of the annual conference on USENIX Annual Technical Conference. :47–47. Abstract