Issue: Is there any way to use the mathematics of Statistics while talking about 'Solve' chess ? And the mathematics of probability ?
Probability is logic with uncertainty (a probability of p is a mixture of p of True and 1-p of False). "Solve" means no uncertainty. So I'd say no.
Encountered a nice term earlier - 'cross entropy'.
I remember some terms from statistics:
Root-mean-square
Standard Deviation
Chi-squared
Boltzmann's correlation constant
Average-median-mode ... the differences between them
Bell curve
The one that stood out the most at the time - was 'Standard Deviation'
and concepts like - 'how many SD's away was that?'
This is usually in the context of assuming a distribution is roughly normal, and then using the statistics of the normal distribution to say how often n SDs would be exceeded.
A lot of natural statistics are roughly normal. One reason is the Central Limit Theorem, which says for any probability distribution with finite variance, the mean of the sum of a sufficiently large number of independent identically distributed random variables is very close to a normal distribution.
Can that stuff be used to 'solve chess' ? Or 'weakly-solve' chess?Inclination: No.
I agree. It's all terribly useful for doing empirical science, which is what @tygxc is doing without realising it is not "solving".
Or ... not in a central or critical way or for premise-purposes.
Chess isn't like that.
Positions are too particular -
and winning-won positions are too well-defined.
Could statistical and probability math be used 'peripherally' in some way in 'solving' projects. Yes !
Example: people look up statistics like ratios and percentages arising from the tablebases ...
But that's statistics used as a Result: Not a Method !!
Interesting example of using uncertain reasoning to get reliable results without genuine certainty. It is very quick to check the pseudoprimality of a numbers, which is to check a set of properties that would be true if the number was a prime, but which can be individually true for some other numbers - "pseudoprimes" - as well. The confidence in the primality can be enough to use these numbers for some purposes where you need a large prime number (on the grounds that it is very unlikely not to be one).
I solved chess last week
Was that a week solution?