This is not a trolly problem. Insurance companies are companies ir they are designed to maximize profit. That is the problem. The objective of insurance companies is to make a profit not save people’s lives.

Just honestly asking Im not a statistician. From a lay person looking high level this seems weird. The conclusion also does not match up with insurance prices that I’ve personally seen nor correspond with my experience.

I’m here for discussion not trying to put anyone down. Could someone just explain to me what I’m missing. No need to downvote. So if you take a non random sample of data how can you extrapolate that out so much? Does this data line up with other people’s data? What am I missing?

There are approximately 250 million cars on the road and they only used data from 8 million? That’s 3% of cars on the road to extrapolate into all the cars on the road. Seems like a huge flaw especially since we didn’t know how they got that subset. All seems like click bait as most articles related to Tesla are…

Another good way / better way to see what cars are dangerous are insurance rates. Since insurance companies take in way more data than 8M cars when determining rates.

Ok cool 😎

From the Ashai website - “Asahi Linux is a work in progress. Many hardware components are not yet supported!”

Just be warned a lot of people have bricked or nearly bricked their computers just trying to get Ashai installed on their Mac. Daily driver this is not but they are making great progress! It will get there eventually.

I mean technically it does. Isn’t this the Ashai Linux and isnt it very Alpha / Beta stage? As far as I’m aware this is not recommended for anything critical ( per the project maintainers) and unless OP loves tinkering he is most likely going to hit a lot of unique edge case scenarios that require a lot of time to unwind. If you have a very narrow use case this might work but is probably not worth the headache.