Tutorial: How to get into trouble with statistics

This presentation is based on a cautionary tale I often tell students in statistics classes. It is about malpractices such as p-hacking and HARKing, and why they can lead to erroneous results. Introduction: 0:00 The case of Prof. X: 2:10 p-hacking and HARKing: 5:03 Confirmation bias: 7:30 The scientific method: 12:10 Hypothesis testing: 13:18 Chi-square independence test: 21:33 p-hacking and HARKing explained: 26:57 The XKCD comic explained: 28:55 Conclusion: 33:37 XKCD comic: https://xkcd.com/882/ Clever Hans, the horse that could count: https://en.wikipedia.org/wiki/Clever_Hans Phdcomics, scientific method: https://phdcomics.com/comics/archive.php?comicid=761 Euphemisms for lack of significance: https://mchankins.wordpress.com/2013/04/21/still-not-significant-2/ p-hacking: http://en.wikipedia.org/wiki/Data dredging HARKing: https://en.wikipedia.org/wiki/HARKing Phdcomics, the science news cycle: http://phdcomics.com/comics.php?n=1174 Further reading: https://simplifaster.com/articles/p-hacking-harking-scientific-replication/ #statistics #p-hacking #independence #significantlevel #significance