NYTimes article a few years ago on how car insurance companies were using such data. Tracking sudden stoos, driving at night, driving faster than 80 mph, etc.
I wonder why “80 mph” was picked as an arbitrary value. In rural areas of Utah we have 80 mph posted limits and prima facie speed laws. A lot of Utah drivers regularly exceed 80 MPH and I’d argue they do so legally. It’s just a weird number for them to pick.
They may be looking at a correlation between speed and claims rather than whether or not the speed is legal. Accidents at 80 mph will tend to be more severe, and possibly also more frequent.
Note that they are also looking at night driving, which as far as I know is legal everywhere, but someone who spends a higher percentage of their time driving at night probably is a bigger risk for the insurance company than a similar person who doesn't drive as much at night.
I just looked and both PA and NJ, have way below natl average car accident deaths per 100K drivers, even if death in over speeding seems to be a a significant contributing factor to overall rates.
Interesting to me. I wonder what are they doing right.
It's not arbitrary, there are limits of physics to how fast you can slow down on rubber wheels no matter how good your brakes are. The stopping distance starts to grow dramatically around these speeds.
Even it it's legal, it's probably less safe. Insurance companies care about your likelihood of being in an accident that they will have to pay for, not strictly whether your driving is legal.
In jurisdictions where 65MPH is the highway speed limit, 80MPH is usually the "reckless driving" threshold. And in Virginia, reckless driving is a felony misdemeanor.
It’s important to understand that in the USA, data is owned by the collector (eg. The app or SaaS who generated it), not the person who is described by it.
Until this legal regime changes, we will constantly be playing whack-a-mole with laws like this.
Companies’ executives and top investors should let us see their location data then. And open up every part of their internal comms that don’t directly disclose trade secrets. At least the metadata!
It doesn’t hurt them, just lets us make better decisions, after all. There does not exist a good reason they’d object!
I personally see it as similar to fraud if you are deliberately hiding a piece of information that makes you riskier to insure or loan money to. In order to accurately assess risk you need personalized data. So I see this as being a more fair deal.
It's like when the internet made it possible to look up the price of good easily how it made it less likely for buyers to be able to lowball people. These price guides may be bad for these buyers, but it provides a more fair deal for these seller.
More informed decision to raise revenue. Is that necessarily helping us? When you say its not affecting us, us as who? Just sounds like a karma farmer.
You’re right and wrong: today’s economy is often negative sum from total utility perspective. It hurts society and the person but it helps Mark Suckerberg and Scam Altman and the private equity firms.
It’s positive sum from a wealth-weighted utility calculation though. And that’s why it happens.
The precession circle is 144 arc degrees sin 23.5. In an 80 year lifespan precession would move the rotation pole about .44 arc degrees or the diameter of the full moon. Any long lived astronomical observatory in ancient times would have noticed this.
RPN interpreters require very little core memory. So they were popular with computers where core memory was under ten kilobytes.
But its horrible for software engineering with multiple programmers and large codebases. Lacks structures, interfaces, modules, data abstraction that you expect in a modern language. We called it the "Chinese food" of coding- ten minutes later you had nomidea what you just coded.
Frame buffer memory was still incredibly expensive in 1980. Our labs 512 x 512 x 8bit table lookup color buffer cost $30,000 in 1980. Mac's 512 x 384 x 8bit buffer in 1984 had to fit the Macs $2500 price. The Xerox Alto was earlier than these two devices and would have cost even more if it had a full frame buffer.
The larger language models now employ a trillion parameters. This is faster when memory and computing is tighter, not distributed. Cerebus's million core super-wafer addresses this.
My state has flat tax rate of federal taxable income (after deductions). Most years its free online filing and typing 5 or 6 numbers. Takes five minutes. The tax softwares dont like that because they get half their income from state filings.
I dislike that I dont get the long term capital gains discount like on federal.
