There are plenty of other reference materials posted in my questions and publications on ResearchGate. I think it is not enough for someone to claim that the sequences I've found are pseudo-random, as their suggestion of a satisfying answer to the question here posed.

If indeed complexity of a sequence is reflected within the algorithm that generates the sequence, then we should not find that high-entropy sequences are easily described by algorithmic means.

I have a very well defined counter example.

Indeed, so strong is the example that the sound challenge is for another researcher to show how one of my maximally disordered sequences can be altered such that the corresponding change to measured entropy is a positive, non-zero value.

Recall that with arbitrarily large hardware registers and an arbitrarily large memory, our algorithm will generate arbitrarily large, maximally disordered digit sequences; no algorithm changes are required.  It is a truly simple algorithm that generates sequences that always yield a measure of maximal entropy.

In what way are these results at odds, or in keeping, with Kolmogorov?

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