Feb 29, 2016

Hilary and Roger talk about the motivation behind the explainr package and the usefulness of automated reporting and interpretation of statistical tests. They also struggle to come up with a quick and easy way to explain why statistics is useful when it sometimes doesn't produce any different results. Show notes: The explainr package: https://github.com/hilaryparker/explainr Google's CausalImpact package: https://google.github.io/CausalImpact/CausalImpact.html Software is Eating the World: http://www.wsj.com/articles/SB10001424053111903480904576512250915629460 Many Rules of Statistics are Wrong: http://allendowney.blogspot.com/2015/12/many-rules-of-statistics-are-wrong.html Jeff Leek is mentioned at 5:31