Not to mention, lots of places have time of use electricity pricing which makes it even worse. This is the problem with running my heatpump when its cold, some of the coldest times (right before dawn) coincide with peak time-of-use prices

where do you live that the highest electricity prices are before dawn?

Reminds me of when we used to drive past a Pinetree Line station every summer on the way to visit my grandparents.

Is this detecting people who work overnights?

I believe so yes. They tracked hours of light exposure at night over a week, and found this result in the 90-100th percentile. The 90th percentile here is pretty much going to be people working at night yeah.

The percentiles of 50-60, 60-70, 70-80, and 80-90, however, are obviously not shift workers (unless they're shift workers working in the dark); you compare the lowest percentile of daylight light exposure to the highest percentile of nighttime light exposure, and see that there just aren't that many shift workers present in the study. About 13% of the UK population is considered to be nighttime workers. We can safely assume nighttime workers aren't represented in the 50%-90% percentile, because there simply aren't enough of them to go around, and would not be statistically significant.

Almost certainly some kind of 3rd variable, yeah.

I have a kobo. The firmware is absolutely terrible. Somehow it's gotten itself to a state where it doesn't detect books that are added to the device, even after fully reseting the hardware

Give koreader a try, I regret not switching sooner

This sounds like wire fraud ....

That number for w20 will probably change. For example, when https://youtu.be/2GgcIuQ4X5k?t=324 was produced w20 was predicted to be up 0.84% YoY.

the stubs can only do so much. There's so much magic and inferred properties that a type checker will never be able to fill in alone

maintainer of chartjs here.

It’s probably more performant. Chart.js isn’t designed for a ton of data and we recommend sampling before visualization . We have a builtin plugin that does a form of min/max sampling to retain peaks but cut down on the amount of data points drawn

Hey! Thanks for maintaining chartjs :)

maintainer of uPlot here :)

they're about same for line chart rendering when using decimation in both.

Wow, that's cool, thanks for working on it, I've been using Chart.js for many years :)

Performance seemed quite good with Chart.js in my case, for small to medium datasets.

I don't see it as dumb at all. I have solar PV, but adding a 5.8kWh battery would cost over USD 2k / local currency equivalent. As a result, I frequently have to export solar to the grid (during low demand, mid day periods) and then buy it from the grid when it's already in high national demand (and priced accordingly). I also have a 13 year old car that our family is fast outgrowing. It's used once or twice a week mostly for shopping, and also for some occasional long drives to see family etc. The latter are the only times I'd be at risk of starting with low charge (easily avoided). My next car will almost certainly be an EV, or PHEV. I'm supremely eager to be able to leave it in the garage/on the driveway as a home battery that's an order of magnitude bigger than a standalone battery I would buy and then have to devote attic or closet space to (and have to accept a fire risk for). I'm effectively deferring several buying decisions (car upgrade, battery purchase) until I get a good V2G option that is an all-in-one solution.

School buses run on a fixed schedule. The utility subsidizes the purchase cost of the electric bus. I do agree without those features even just the battery wear would not make it worth it for the owner.

What otel really needs to succeed, at least in the python space, is something as easy and straightforward as DataDog's ddtrace command.