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Uncomfortable science
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<h2 id="see-also">See also</h2> <ul><li><a href="/facts/Cosmic_variance/5XXeU5wc">Cosmic variance</a> for an extreme example of this phenomenon</li> <li><a href="/facts/Data_mining/AH53q5ac">Data mining</a></li></ul> <h2 id="bibliography">Bibliography</h2> <ul><li><a href="/facts/P._Diaconis/AsI5mBLp">Diaconis, P.</a> (1985). "Theories of data analysis: from magical thinking through classical statistics". In Hoaglin, D.C; et al. (eds.). <a href="https://archive.org/details/exploringdatatab0000unse"><i>Exploring Data Tables Trends and Shapes</i></a>. Wiley. <a href="/facts/ISBN_(identifier)/15AdSPa9">ISBN</a> 0-471-09776-4.</li></ul> <h2 id="references">References</h2> <ol> <li id="fn:1"><p>Norel, R.; Rice, J. J.; Stolovitzky, G. (2011). "The self-assessment trap: Can we all be better than average?". Molecular Systems Biology. 7: 537. doi:10.1038/msb.2011.70. PMC 3261704. PMID 21988833. <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261704" target="_blank">https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3261704</a> <a href="#fnref:1" class="footnote-back-ref">↩</a></p></li> <li id="fn:2"><p>Hoaglin, D.C; et al. (eds.). Exploring Data Tables Trends and Shapes. Wiley. ISBN 0-471-09776-4. Much of science also falls under John Tukey's label "uncomfortable science," because real repetition is not feasible or practical. <a href="0-471-09776-4" target="_blank">0-471-09776-4</a> <a href="#fnref:2" class="footnote-back-ref">↩</a></p></li> </ol>