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.
Docker as mentioned above is great especially if you’re going down the homelab rabbit hole. You’ll find it really useful to get familiar with for future projects.
Another alternative is to install DietPi. It’s an operating system for a raspberry pi. It has all these programs you mentioned with install scripts including docker and installing (and updating) is as easy as checking a box. Also has a pretty good community in case you run into an edge case.
eBay is your friend, Shield came out about 9 years ago so lots on the used market. Also the phoning home for the paranoid can also be handled. Since it’s been around for so long there’s not a lot left someone hasn’t already figured out. Maybe not the perfect answer but worth considering. As a media player it just works and it’s tried and true.
Have you looked into maybe getting a shield and changing out the launcher? It’s a great emulator and will play any video file thrown at it. Worth looking into if you can’t find any sbc alternative.
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?