To split or not to split the US Ninth Circuit Court of Appeals: A simple statistical argument, counterargument, and critique

A statistical argument was presented quite recently, as an Op-Ed in The Los Angeles Times, purporting to conclude that the US Ninth Circuit Court of Appeals should be split. A corresponding statistical counterargument and critique are introduced in the present paper, by making use of some combinatorial formulas and by proposing an alternative empirical approach. In addition, with this issue of the Journal of Statistical Planning and Inference dedicated to Ted Anderson, I also include here comments on his contributions to both statistical inference about Markov chains and to statistical inference about latent classes.