That is the title of our latest paper — in which we offer a novel solution to the famous Trolley Problem from moral and legal philosophy — just published in the Drake Law Review Discourse. (You may also click directly on the image above to go directly to our paper.) The paper is “only” 19 pages long, including a one-page appendix, and is thus a very short paper by law journal standards … as all academic papers should be.
The world’s longest flights
Hat tip to u/nsfwdreamer for posting this map of the world’s longest flights (via reddit).
Mixed strategies

So which of these four ghost strategies would you expect to have the highest kill rate? Hat tip to jackmcxp for sharing this tidbit with us via Imgur.
Eppur si muove …
“And yet it moves …” This map depicts Pangaea, a massive super-continent that existed during the late Paleozoic and early Mesozoic eras, with modern borders. Hat tip to the amazing Ada Swanson for the pointer.
Testing our scientific tests
We recently reviewed the abstract and slides of Deborah Mayo’s 3 Dec. 2014 presentation at Rutgers University. Her excellent talk was titled “Probing with severity: beyond Bayesian probabilism and frequentist performance.” (Both the abstract and the slides of her lecture are available here.) Here, we shall sum up what we consider to be the most valuable contribution of Dr Mayo’s thoughtful lecture and then offer a brief and friendly critique of her main point. Without further ado, then, let us begin. Continue reading
Why …
What does Google prediction spit out when you type the word “why” on Google search? Here’s what we got when we tried this little experiment from our home in Orlando, Florida at approximately 2am EST on 7 December 2014: Continue reading
Visualization of North American History
Hat tip to SirSilencer via reddit.
Gaussian distribution of NBA scores

You can see the most common scores in such sports as basketball, football, and baseball in Philip Bump’s fun Wonkblog post here. Mr Bump writes: “Each sport follows a rough bell curve … Teams that regularly fall on the left side of that curve do poorly. Teams that land on the right side do well.” Read more about Gaussian distributions here.





