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PCM1 Signal And Ancestral Results

The second half of PCM1 asks whether R and Bijux tell the same comparative story on the prepared primate dataset.

What This Part Covers

  • lambda-oriented signal behavior on random and primate data
  • ancestral-state agreement within bounded tolerances
  • explicit handling of visual outputs without treating plot-for-plot identity as the main closure criterion

Why It Matters

PCM1 is the introductory trust study in the evidence book. It shows one full path from prepared study state to bounded signal and ancestral review.

Questions This Part Answers

  • Do the core signal surfaces stay aligned on the governed primate study?
  • Do ancestral outputs stay within the study's bounded expectations?
  • Are visual surfaces kept secondary to the analytical claim?

What To Keep In Mind

PCM1 is intentionally introductory. A good result here is meaningful, but it does not close later regression, Bayesian, or benchmark-heavy families by itself.