• In theoretically (cognitively) connecting perceptual reality in an explanatory causal network, one can't always progress by short obvious steps; sometimes one must plunge into an ocean of non-testability in order to come up with a superior testable description on the far shore (think of this kind of insight as analogous to irreducible complexity, but often followed by a simplificative "refolding stage"). In other words, it is not always easy to distinguish (empirically fruitful) science from nonscience as science progresses; one must rely on logic and mathematics in the "blind spots" between islands of perceptibility.
  • The scientific value of the CTMU resides largely in the fact that within its framework, certain logical truths can be regarded as scientific truths (as opposed to tentatively-confirmed scientific hypotheses).


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