The MDR-universality module (mdr_universality.py)

Tests the falsifiable content of the maximum-drag-reduction prediction ( §12) on the real Pillar §9 dissipation-event sizes (the N=96 field of dissipation_avalanche.py). A control with size-dependent thinning s^{-a} shifts the exponent by a , making the rejection criterion (non-universal event statistics) concrete.

)} Tests the falsifiable content of the maximum-drag-reduction prediction (\S§12) on the real Pillar §9 dissipation-event sizes (the N=96 field of dissipation_avalanche.py). Elastic action is modelled as a high-energy cutoff: as the cutoff is lowered (stronger polymer) the surviving-event size exponent is re-measured by logarithmic-bin regression and stays τ≈1.37±0.04 — invariant across polymer strength (universal), matc

)} Tests the falsifiable content of the maximum-drag-reduction prediction (\S§12) on the real Pillar §9 dissipation-event sizes (the field of dissipation_avalanche.py). Elastic action is modelled as a high-energy cutoff: as the cutoff is lowered (stronger polymer) the surviving-event size exponent is re-measured by logarithmic-bin regression and stays — invariant across polymer strength (universal), matching Virk's empirically universal MDR. A control with size-dependent thinning shifts the exponent by , making the rejection criterion (non-universal event statistics) concrete. The module does not derive the quantitative Virk asymptote (slope ): that requires viscoelastic FENE-P DNS of the mean profile and is left as an explicit gate. Captured output ships with the module.