Let’s put it this way. If you knew a person, and that person just had their fourth crash in 8 years having driven 160k miles, would you think “this person is a bad driver” or would you think “they only crashed 4 times, let’s see where this goes”.
Especially if you’ve seen this driver drive in the wrong lane, go straight in a turn only lane, and other dodgy maneuvers regularly.
Basically yes. You can’t usefully put a car into one of “crashes” or “doesn’t crash” categories the way you can with e.g. what colour an M&M is, or whether Drug X did or didn’t lower blood pressure in a patient, so miles travelled is a reasonable metric.
It’s possible you might be getting hung up on notions of sample size having to be above a particular fixed number and therefore miles sounding like a cheat, but actually there never has been a universal “correct” minimum sample size; it all depends on the data. A billion of one thing might not be enough, but 4 of another might be plenty.
I don’t see how this gives sample size, are you considering every mile a sample?
i’m not worried about the sample size for regular cars but there’s like 10 of these driving right now.
Let’s put it this way. If you knew a person, and that person just had their fourth crash in 8 years having driven 160k miles, would you think “this person is a bad driver” or would you think “they only crashed 4 times, let’s see where this goes”.
Especially if you’ve seen this driver drive in the wrong lane, go straight in a turn only lane, and other dodgy maneuvers regularly.
Basically yes. You can’t usefully put a car into one of “crashes” or “doesn’t crash” categories the way you can with e.g. what colour an M&M is, or whether Drug X did or didn’t lower blood pressure in a patient, so miles travelled is a reasonable metric.
It’s possible you might be getting hung up on notions of sample size having to be above a particular fixed number and therefore miles sounding like a cheat, but actually there never has been a universal “correct” minimum sample size; it all depends on the data. A billion of one thing might not be enough, but 4 of another might be plenty.