1, 2, 3
1-2-3, oh, that's how
elementary it's going to beC'mon, let's fall in love, it's easy
Like takin' candy from a baby
1-2-3 is elementary, NOT
deterministic.
I am a fan of three. For example https://dbeagan.blogspot.com/2024/02/three.html.
A system has three part: 1) an input; 2) a process;
and 3) an output. Just because an input is deterministic, it does NOT mean that
the process has to be deterministic, or the output has to be deterministic. For
example take a coin. It has only two sides. What could be more deterministic
than that. Flipping that coin is random NOT deterministic. The outcome is NOT deterministic
either. It is 50% the coin is heads AND 50% that the coin is tails. So while the
input was 100%, a coin, the output AND
the process are random.
When the input and process are
combined into a scenario, that also does
not mean that the scenario has therefore become deterministic and therefore the
output is deterministic. It still depends on the process. If the process was
not deterministic, the output won’t be deterministic because the scenario can’t
be deterministic. If a process is random, then it has a variance of more than
zero. Goldilocks is a solution when the process is deterministic: not too hot, and not too cold; not too hard, and not too soft; just right, halfway between
the two extremes. But if a process is random, its variance is NOT zero, then
the output can not be Goldilocks, and Nash Equilibriums govern. At equilibrium
the solution is 5/6 of the variance, σ2, which is identical
to the mean, μ, plus two times the square root of
the variance, σ. Only when the variance is zero, will
the solution be the mean, just right.
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