Over the past decade, the 19th century science-of-counting has been resurrected to provide a combinatorial derivation of conventional Machine Learning that uniquely generalizes statistics to probability theory, allows energy to enter or exit the system, and processes any time-series to return a complete set of scientific (thermodynamic) measurements as deductive reality. And now with a plausible way to explain and generalize Machine Learning for time-series, we observe that “Machine” and “Artificial Intelligence” are too prominent...