How to shoot yourself in the foot with various statistical philosophies

March 6, 2015

(This article was first published on BayesFactor: Software for Bayesian inference, and kindly contributed to R-bloggers)

I’ve long been a fan of “How to shoot yourself in the foot” jokes. Having shot myself in the foot with different programming languages — particularly with C — I was thinking about how one might shoot oneself in the foot with various statistical approaches. So, here we go…

Subjective Bayesianism (de Finetti): Believe you’ve shot yourself in the foot. Or not. Don’t tell me what to believe!

Objective Bayesianism (Jeffreys): Build the uniquely-appropriate gun for shooting yourself in the foot. Oh, you want to shoot your left foot? That’s a different gun.

Fisherian p values (Fisher): Buy a gun to shoot yourself in the foot. You don’t know why it works, and the salesperson can’t tell you, but everyone uses this gun. Shoot yourself in the hand.

Frequentism (Neyman): Build a gun that, when you pull the trigger over and over, more often than not will shoot yourself in the foot. You can pull the trigger, but you can’t say whether you’ve shot yourself in the foot.

Likelihoodism (Edwards): Borrow a gun from a Bayesian.

And finally, because it all started with programming languages….

How to shoot yourself in the foot with R: Post on R-help. Someone there will be happy to shoot you.

If you have more, post them in the comments!

To leave a comment for the author, please follow the link and comment on their blog: BayesFactor: Software for Bayesian inference. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.

Search R-bloggers


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)