julianwgs
Yes, thats how Open Source works or they can keep paying Windows. Asus knows their hardware much better than Valve does and has a much bigger interest in a good user experience, but currently lacks the incentive, because Windows is a „good“ paid alternative. Honestly I don’t understand all the downvotes.
Is this picture photoshopped or from a real plain accident?
This is the wrong statistic! It doesnt matter how often you take the train, but how far you go. There is something called a passenger kilometer. Someone traveling one kilometer by train makes one passenger kilometer, 6 people on a train going 10 kilometers makes 60 passenger kilometers. The same can be done for other modes of transportation. The modal split (the right statistic) then shows how much each mode of transportation is actually used. Here you can find the statistic for each country of the EU: https://www.eea.europa.eu/data-and-maps/daviz/passenger-transport-modal-split-2#tab-chart_1
A few examples why modal split is better than frequencies:
- Environmentally CO2 is emitted per kilometer. Someone may bike a short distance everyday to work, but visits his parents who live far away every weekend by car.
- On the way to work someone could take the car and the train on the same commute.
- Use sqlite instead of Postgres, MariaDB
- Avoid enterprise software (Kubernetes, Elastic Search)
- Only use projects with efficient programming languages such as Go, Rust, etc.
- Try to run things bare metal
- Lookout for projects which name themself minimal or light-weight
I use a Raspberry Pi 2 to self host a Dashboard written in Rust (Axum), a RSS reader called yarr and a music streaming server Navidrome. The latter two are written in Go and very resource efficient. The electricity bill should be under a Euro a month (6.4W max power consumption).
What monitor is this?
Thanks for your comment. Not wrong in the sense that the data is wrong or faked, but that the metric is not useful. Especially when better metrics are readily available for that region. Can you name me one prediction or result which you can infer from the frequency of train travel other than „fun facts“? (I am actually really curious :) ). With the modal split you can for example calculate CO2 emissions or estimate needed capacity increases if you want to replace one mode with another and much more.
Sources of those tweets?