this post was submitted on 22 Nov 2024
549 points (97.4% liked)
Technology
59575 readers
3259 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
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.
Tesla's do cost more to insure than 'average' cars. But, that extra cost reflects more the cost to repair minor/moderate damage than cost of fatalities. Since fatalities are just a smaller subset accidents. Tesla's are extremely costly to repair and often get totaled vs repaired. Premiums reflect that cost of loss.
3% of 250 million could very well be the approximate number of cars on the roads that are involved in a fatal collision. And that is the only consideration of the article in this study.
That's more than 3% of the user base. 0.5% is considered sufficient for statistical relevance.
Found the Tesla driver
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?
A sample of 8 million cars is more than enough to be representative.
.... sufficiently random ...
Since they just use the 8m for the normalisation it'd be interesting to know how sensitive the rankings are if they assumed some bias. Or maybe even just swap around some normalisation factors and see how robust the ranking is.
I guess they do have near complete data on the deaths, and pretty good data on the population of registered vehicles.
The data on that is all there. Records like car fatalities are collected mainly through law enforcement reports and states have registration numbers. But the question is, how centralized is the data? City, county, state, or federal? There is a lot of data that simply isn't required to be collected to a central agency to keep track of.