leeeeech
In other news, it's the Stabile Seitenlage [1] from first aid! https://en.wikipedia.org/wiki/Recovery_position
excuse me, but no. Our best-effort guesses might be the best we could literally do. But there is no need to be that literal, or literal at all. As long as the uncertainty range includes 0.5, it's OK, but merely a test of how much we know as a fact as opposed to intuitively. And at that, the equation can surely be blown up further. Why would it be optimal?
Since we do not really know, anything but P=0.5 should imply incorrect prior estimates. That might be more insightful than whether alien life exists or not.
The basics are easy to look up. There is plenty of time for exchange in the at least 4000 years of immigration from Asia through the Bering Strait before it almost completely submerged at a time when the first civilizations already emerged, among them chinese.
Still though: Mezo America is far from there in time and space; Grid layout is kind of natural, because only a few space filling polygons exist; The linguistic evidence is very weak at the very least because of the time span, isolation, the lack of written records and corruption of oral tradition.
The search space is huge. A few attractive artifacts may just be noise in the signal. All it takes to satisfy the claim beyond the initial exchange is a single successful explorer.
Such things remind me all too often of the fix point combinator and what not. But I'm anxious to miss the point, because at some point logical reasoning doesn't work anymore and leads into a trap, e.g. in case of greed.
Then what is the model theoretic problem? Is it, if f(a,b)=((a and not b) or (b and not a)) is satisfied by e.g. (a=1,b=0), then we want to know all configs that satisfy it? The way I understand your post, you are saying we want to know if all combinations of a and b over {0, 1} satisfy the formula. I'm not sure that's not the same thing from a different perspective.
I started a course on abstract algebra once, but actually I am still limited to boolean logic. while they mentioned Galois Theory, functions as points in a metric space, graph coloring problems and many things that sound interesting but quickly have me getting lost in details. It's the same effect as with other machine learning ... coff coff.
say root network
But you are going to hear it anyway if you are going to study.
On yet another point, you might imagine time as a projection of the space. We like to think of time as the domain often enough, but perhaps it's the opposite. After all, some event needs to takes place, for a time step to be noticeable.
There's no reason to believe it would have to accelerate for all its curse.
> You pretty much have to talk microbe scale to go unnoticed in space.
There are myriads of stars we know nothing about, planets being discovered; and dust clouds only detectable because they are unbelievably huge.