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Identifying the system and in particular the closed feedback loops is a great learning from Boyd's OODA model; what is critical though is identifying and optimising out (well, minimising to the best of your ability) the entropy that inhibits iteration and degrades overall system performance.


Has anyone applied Benford's law to the raw data? https://en.wikipedia.org/wiki/Benford's_law


I think this could make an interesting post!


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