Tlaloc_Temporal

That’s just dark brown.

I have an app that does that on my S8, but it’s definitely not official support.

My very first experience with Linux last year was switching from X to Wayland to get my touchpad to work properly. The only thing I’ve noticed that doesn’t work on Wayland is that mouse following cat.

Interesting claim, let’s see:

Afghanistan, Algeria, Angola, Argentina*, Armenia, Bulgaria, Burundi, Cambodia, Canada*, China, The Democratic Republic of the Congo, Costa Rica, Cuba, The Dominican Republic, Ecuador, Equatorial Guinea, Gabon, Indonesia, Iran, Laos, Mongolia, Mozambique, Nepal*, Netherlands (country, not kingdom), North Korea, Pakistan*, Panama, Papua New Guinea, Poland, Rwanda, Sierra Leone, The Solomon Islands, South Africa, South Korea, Sri Lanka, Thailand, Tonga, Turkey, Vanatu, Vietnam, Zambia, Zimbabwe, and Taiwan (to some extent), all use Provinces.

While Australia*, Austria*, Brazil*, Germany*, India*, Malaysia*, Mexico*, The Federated States of Micronesia*, Myanmar, Nigeria*, Palau, Somalia*, South Sudan*, Sudan*, The United States*, and Venezuela*, all use States.

More interestingly, the asterisks denote federal systems of government (the rest are mostly unitary or regional). Almost every state system is also a federal system, while most provinces aren’t sovereign.

Thus, Canada is the weird one out, basically using states while calling them less than states. As usual, they do everything backward. I’m so proud! 🇨🇦

It is actually, Canada is the state. The US is the weird one with multiple states.

I think those pants are underfitting…

I don’t think they’re talking about frequency hopping, just using a thinner datastream. Smaller packets are less likely to be dropped perhaps?

If a new government makes it known that they’ll increase tariffs, any company dealing with international trade can prepare for increased costs sooner. Or even better, if there’s a movement for emissions regulations, they can get lobbyists and lawyers to find or add loopholes nice and early, long before cars would actually need to be more efficient.

Anyway, the miscommunication here seems to be what you mean by nondeterministic and unpredictable. We’ve been through deterministic, and that doesn’t perclude unpredictable.

For example, cryptographic hashes are completely deterministic yet impossible to predict. The determinism allows easily checking for the correct string, but the unpredictability makes guessing the correct string impossible beyond brute force. Yet if a security protocol used π to seed it’s hashes, it would be way more predictable than most methods. Even if your psudorandom table is indistinguishable from noise, if the table is known the whole system can be cracked relatively easily. Thus π would make that method predictable.

Now you could mean that each character or string says very little about each other character or string, but that’s a different claim; that you can’t predict one part of the number using another part. For example, if you say the code to your luggage is a five digit string starting at the 49702nd digit of π, that’s easy to lookup. But no amount of digits will help you figure out that this string really is from π and not something else. I’d call that chaotic rather than unpredictable, as unpredictable makes me think of probability more than calculability. π is found in so many places that many sci-fi stories use it in first contact scenarios, alongside e, the hydrogen line, Fibonacci numbers, and c or sometimes hbar. Dependable is hardly unpredictable.

If we go back to your original reason for describing the predictability of some numbers, we find a simple nonrepeating number (101100111000… let’s call it b for binary) and π. With b, any string can at least narrow down it’s location in the number, and if a string contains both 10 and 01 we can positively fix it’s location, even to a place that no one has calculated before. This is impossible with π, we can positively rule out many positions, but no position can be confirmed for any string, and any string may appear further in the digits as well, giving multiple possible positions for any string.

However we can still compute π, and thus can know (even better than predict!) any arbitrarily precise digit in finite time. There are numbers where that’s not possible, so-called non-computable numbers (For example). This number cannot to computed in finite time, only approximated. This sounds more unpredictable.

Predictability could be seen as a function of the ease of calculability, especially when time is a limited resource, but why not just say that π is more complex to predict than b, or that the existence of b doesn’t disprove that π can contain all finite strings? That was the original issue after all.

Sorry, TL;DR, I don’t think unpredictable is a good word to use outside of probability, and even so an easily predictable number is enough to prove that not all irrational numbers are normal numbers (not all numbers with infinite digits contain all finite strings).

This might just be my computer-focused life talking, but I’ve never heard of deterministic meaning anything but non-random. At best philosophic determinism is about free will and the existence of true randomness, but that just seems like sacred consciousness.

I also don’t know why predictability would be solely based on the numbers that came before. Election predictions are heavily based on polling data, and any good CEO will prepare for coming policy changes, so why ignore context here? If that’s a specific definition in math then fair enough, but that’s not a good argument for or against the existence of arbitrary strings in some numbers. Difficult is a far cry from impossible.

Welp, time for quectoquectoquectoquectoquectometers.

Actually, a plank length seems to be 10 microquectometers, so my first guess might only be necessary for interpretation of the world, and not physical accuracy.

π isn’t deterministic? How do you figure that? If two people calculate π they get different answers?

What π is, is fully determined by it’s definition and the geometry of a circle.

Also, unpredictable? Difficult to predict, sure. Unpredictable by simple methods, sure. But fully impossible to predict at all?

To be fair here, appdata is technically a hidden folder and there are lots of reasons an app would want it’s data accessable by the user.

Tell that to all the google apps with backdoor permissions that can’t be uninstalled.

Red/yellow causes tiredness? Interesting. Maybe that’s why it makes be cranky. Blue light filters sound like a good idea, but they just piss me off.

Maybe they were feeding the rabbit from the bucket. The rabbit just wanted some snacks, and these kids didn’t like that.

Well…

Alpha wolves definitely don’t exists, but there is support for “alpha” behaviour in primates, particularly chimpanzees.

“Alpha” is still a stupid and harmful idea, but it’s not without precedent.

Oh, no problems! Colour rendering isn’t an angle I’d thought of yet, and clashing colours is definitely something I’ll think aboit next time.

I do have to wonder if my aversion is learned, as I am very much not a morning person, so waking up by strong sunlight or room light are both negative experiences. I’m also a big fan of rainy days, and I wonder how much the light colours play into that and how.

I thought so too for a while. Apparently there’s a bit of setup you need to do for it to work. Just browse the site setting a bit and choose a server.

Is it possible that the sensory processing differences are caused by the difference in retina cells? That the cerebellum develops differently to deal with different inputs and thus behaves differently elsewhere?

I find it hard to imagine that the difference between needing the room lights because it’s too dark and only noticing the shift in colour temperature is just due to visual processing. If the eyes are the same, why can some people see well and others less so?

No, most of the places I notice my aversion to yellow light have pretty neutral colours; off-whites, greys, the occasional green. I haven’t looked into it, but I would say the yellow lights (at least the ones that bother me) distort the colours more. I have no idea when the Colour Rendering Index of them are, just that they seem much hasher. Maybe yellow lights are more tolerable to most people, so they install more? Yellow lights aren’t rated for higher power though. Maybe it’s purely the colour temperature, maybe it has to do with sun exposure and cloudy days?

Just the CRI wouldn’t explain why some people find the addition of artificial light unnecessary at best while others seem to need it to see. There’s probably some amount learned perception going on, but I don’t think you can learn to be blind to certain light, can you?