Victor Villas

What new Gear Hub Tech?

I think nowadays most tech innovations have been in internal and integrated gear systems and drivetrains around continuous gear shifting, though most often related to gearbox and e-bikes.

eg https://www.youtube.com/watch?v=_1Ak8ZsQpl8

But then new gear hub tech comes out, and you start considering ebikes, also a pannier would be nice… maybe a cargo bike makes more sense instead…?

Any hobby entry point can cascade into upgraditis

Interesting research but very early stages. There’s a good chance that this isn’t really specific to bikes, but more generally applies to the benefits of people enjoying hobbies and a good quality of life translating into a better psychological state, which is known to affect health outcomes in a myriad of ways specially related to brain function and hormones.

Interestingly, the data also shows that mixed-walking is associated with reduced dementia as well… and I find it a bit confusing that the authors are lumping driving and public transit together in the nonactive category because public transit usually involves a good deal of walking too without people categorizing it as a walking mode of transport.

Beyond separating public transit from driving, I think major factors to control for are: 1) how often these non-commute activities happen; and 2) what’s the stress level of that transportation mode. With those three things in mind I think it would clarify why would walking be associated with worst outcomes than nonactive…

A bike (the bicycle kind, not the motorbike kind, that’s a different wallet-sinking hobby)

Not saying “trust”, I’m saying “might be interesting, evaluate it”.

I find Beeline quiet routes generally pretty likeable, so I do give them a try from time to time.

I’d give it a try. It’s probably a very basic suggestion algorithm that is just being labeled AI because why not, AI is the new Metaverse so everything gotta have AI in it to make it flashy.

That’s what this paragraph seems to indicate:

Strava says every activity is now automatically analysed by a machine learning model, which looks at 57 different factors, such as speed and acceleration.

They properly call it Machine Learning, meaning that this is probably old school supervised techniques instead of LLMs so it means it’s just a glorified linear regression. Should be fine.