Earlier quoted context omitted.
Yeah but if you really optimize it to ad absurdum, everybody will pay according to damages they will cause, negating whole point of 'socialized' spread-across-variable-population insurance. End users shouldn't generally want insurance to run over-optimally, that benefits just shareholders of given insurance and not population overall. That I consider myself above-average driver changes absolutely nothing in this. And…
I'm not generally for hyper analyzed metrics gathering in this case (I don't like the privacy implications), but I'm generally for riskier drivers paying significantly more. Individuals should feel the costs of their driving more in the US IMO. I don't like heavily subsidizing people who drive so recklessly. Maybe then they'd realize overly building car dependent cities isn't that great in the end. Convincing risky d…
What I talk about is anticipation/prediction, possibly wrong conclusions from data (since we all know data can be pretty bad or incorrectly analyzed), also no way to correct any incorrectly derived bad rating.
There are no consumers winning in this scenario, even if it may feel intuitively as such if you are a stellar safe driver. Also there are many second-order effects, ie poor risky people pushed out of insurances, still driving since in US you can't do anything without a car in rural places, still causing accidents but no way in hell to pay back, ever. So we move the losses from private corporations to random citizens caught in some bad luck.
I'd say keep the risk at those corporations, they anyhow still manage to earn billions annually, no need to make their life even easier.