Statistics is incredibly important since every scientific publication and public policy decision these days refers to statistical results to justify their concl

Statistics is incredibly important since every scientific publication and public policy decision these days refers to statistical results to justify their conclusion. Given this, a class in "bad statistics" would be even more useful - how numbers are presented using a veneer of statistical analysis to fraudulently imply incorrect conclusions that benefit the interest group or organization publishing or financing the study. As case studies such a class would have no shortage of examples, for example the more than 50% of peer reviewed journal articles whose findings were actually false. (per Ioannidis, http://www.plosmedicine.org/article/info:doi/10.1371/journal.pmed.0020124 http://www.plosmedicine.org/article/info:doi/10.1371/journal...)