La Profilée is the structural law of determinate nature. This paper examines what a fine-tuning argument must specify before it can infer improbability or select a physical nature. The original questions remain: whether a parameter window determines a probability; which reference scale answers the stated physical question; how formation and integration conditions constrain a coupled admissible region; and what follows for the cosmological constant, gravitational coupling, stellar structure and primordial fluctuation amplitude. A measurable nonempty window with nonempty complement admits any assigned probability under a suitable normalized measure. The window therefore cannot select its own prior. A spherical turnaround supplies the exact inward-acceleration condition ρΛ<ρta/2, distinct from the radiative cosmological-constant problem. At fixed Newton constant, ultraviolet scale and QCD content, dimensional transmutation makes αG a derived coordinate; a prior must transform with its Jacobian. The eleven-condition audit and the four integration questions are retained with their explicit coding and physical scope. The coupled-region analysis now includes complete physical profiles, their constitution quotient and candidate-sensitive selection. The known Standard Model charges yield a diagonal ℤ₆ representation kernel and exactly four subgroup quotients. Additional representations obey an exact divisor rule. Genuine Wilson-line coordinates separate the four forms, while the specified neutrino action families preserve their shared local descent. Four covariant action families, two published recovery-compatible history members and ten overlapping neutrino strata yield 32 generator incidences and 80 stratum incidences on the stated common carrier. These labels are not counts of complete universes. State and history fibres remain distinct from the law profile. Each new derivation is integrated into the fine-tuning question: isolated windows do not constitute a universe, a coupled admissibility range is not a probability measure, and repeated tests of shared data cannot identify one realized nature.
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Marc Maibom (2026) studied this question.
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