This all started when CJ asked which three baseball stadiums formed the smallest triangle. And we agreed it had to be the Brewers, the White Sox, and the Cubs, because Milwaukee and Chicago are *really* close together.

But it seems like cheating to use two teams in the same city. The most elegant way to forbid that is to ask the question one league at a time. Which three American League parks form the smallest triangle? And what about the National League?

First of all, what does “smallest” mean? There are lots of choices, but (perhaps inspired by the summer we played a lot of Ingress) we asked for the triangle with the smallest area. Which means you don’t just want the parks to be close together, you want them to be almost collinear!

I asked on Twitter and got lots of proposed answers. But it wasn’t obvious to me which, if any, were right, so I worked it out myself! Seamheads has the longitude and latitude of every major league ballpark past and present in a nice .csv file. How do you compute the area of a spherical triangle given longitudes and latitudes? You probably already know that the area is given by the excess over pi of the sum of the angles. But then you gotta look up a formula for the angles. Or another way: Distance on the sphere is standard, and then it turns out that there’s a spherical Heron formula for the area of a spherical triangle given its edgelengths! I guess it’s clear there’s *some* formula like that, but it’s cool how Heron-like it looks. Fifteen lines of Python and you’re ready to go!

So what are the answers?

We were right that Brewers-White Sox-Cubs form the smallest major league triangle. And the smallest American League triangle is not so surprising: Red Sox, Yankees, Orioles, forming a shortish line up the Eastern Seaboard. But for the National League, the smallest triangle isn’t what you might expect! A good guess, following what happened in the AL, is Mets-Phillies-Nationals. And that’s actually the second-smallest. But the *smallest* National League triangle is formed by the Phillies, the Nationals, and the Atlanta Braves! Here’s a piece the geodesic path from SunTrust Park in Atlanta to Citizen’s Bank Park in Philly, courtesy of GPSVisualizer:

Not only does it go right through DC, it passes about a mile and a half from Nationals Park!

Another fun surprise is the *second-*smallest major league triangle: you’d think it would be another triangle with two teams in the same city, but no! It’s Baltimore-Cincinnati-St. Louis. Here’s the geodesic path from Oriole Park at Camden Yards to Busch Stadium:

And here’s a closeup:

The geodesic path runs through the Ohio River, about 300m from the uppermost bleachers at Great American Ball Park. Wow!

Now here’s a question: should we find it surprising that the smallest triangles involve teams that are pretty far from each other? If points are placed at random in a circle (which baseball teams are definitely *not*) do we expect the smallest-area triangles to have small diameter, or do we expect them to be long and skinny? It’s the latter! See this paper: “On Smallest Triangles,” by Grimmet and Janson. Put down n points at random in the unit circle; the smallest-area triangle will typically have area on order 1/n^3, but will have diameter on order 1. Should that have been what I expected?

PS: the *largest-*area major league triangle is Boston-Miami-SF. Until MLB expands to Mexico City, that is!

Reblogged this on dustbury.com in reserve and commented:

“Why did they put the stadium there?” you ask.

As you say, there are lots of ways to interpret “smallest”, and to me, the surprising results you got reflect that minimal area isn’t the most intuitively natural choice for this question. What if you looked for the triangle with minimal diameter, or perimeter? (It would really be interesting if those two produced different answers from each other.)

So what’s the smallest spherical triangle formed by three state capitol buildings? (looking for an example with somewhat bigger n; maybe take n=48 to avoid the literal outliers of HI and AK.)

Suppose you then take N points on the unit sphere and let A, B, and C be the side lengths of the triangle with smallest area (and A < B < C). Then what is the limiting distribution of A, B, and C? (I guess you are saying that A + B = C, for example). It should be easy enough to Monte Carlo this sucker for N = 100.

Related work (though not in a spherical setting) to the randomized version of the problem suggested above.