Beyond Research
Cycling, the outdoors, and the occasional data question.
Outside my academic work, my main hobby is cycling, and now and then it overlaps with the day job.
Cycling
I ride bikes, both outdoors and indoors on Zwift, and I try to put in 8 to 12 hours a week, though the honest average is closer to 8 or 9; a good week hits 12, but life tends to get in the way. Most of it is around Fribourg, where I live: into the hills and mountains when I want to climb, and out toward the Murtensee (Lake Murten) when I want flatter, faster roads. Off the bike, I also hike, nothing too extreme, and go for the occasional run. I log it all on Strava, if you want to follow along.
The intersection between statistics and my hobby
Recording every ride for years leaves me with a lot of data, so I analyzed it the way I would any other dataset. The first thing I tested: whether the expensive carbon wheels I bought are actually faster, or mostly marketing.
On 21 April 2026 I replaced my road bike’s aluminium wheels with deep-section carbon ones and left everything else unchanged. Adjusting for power and terrain, the carbon setup is the fastest of my three bikes, about +1.2 km/h quicker than the same road bike on its old alloy wheels.
That could be the wheels, but it could also just be that I was fitter and the weather was better. To separate the two, I use my gravel bike, ridden on the same roads in the same weeks and never upgraded, as a control: it should not speed up unless the season, rather than the wheels, is doing the work. In a difference-in-differences after the install, the road bike gains +1.7 km/h and the gravel bike does not.
Comparing like season with like season, though, most of that gap goes away, so I wouldn’t read too much into six weeks of data.
I wrote it up as a short working paper, with real tables, a placebo, and a conflict-of-interest statement (I own the wheels):
Half-serious. The regressions are real.