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Maps gate complexity of Boolean functions, indicating limitations of statistical properties in detection.
We map the exact gate complexity of all Boolean functions on up to five inputs and use this ground truth to quantify, at small scale, a central intuition behind the natural-proofs barrier: that efficiently computable, "large" statistical properties cannot separate hard functions from easy ones. Exact circuit sizes are computed for all 65,536 functions on four inputs with a SAT-based synthesis pipeline (validated against independent brute force and against Knuth's data); Knuth's BOOLCHAINS database covers all 616,126 NPN classes on five inputs via an independently validated parser. Main findings, each preregistered with explicit failure criteria: A decay law for spectral statistics: R² of (average sensitivity, Fourier support) → C falls 0.517 → 0.263 → 0.160 for n=3,4,5; the n=5 value was predicted in advance as 0.13±0.05 and hit. Invisibility of the hard tail: no tested cheap statistic or combination detects the top complexity tail under honest evaluation (cross-validated AUC < 0.8); an apparent detector (0.854 in-sample) collapses under cross-validation. One exception: an n-stable average-sensitivity band signal (AUC ≈ 0.70). Structure beats spectrum: minimal ROBDD size retains R² 0.515 → 0.414; a computational-depth norm predicts circuit size (0.305) where an additive Reed–Muller norm carries almost none (0.007). The inhabited landscape: 55,232 cut functions from real ISCAS85 circuits avoid the hard tail by a factor of ~400, while component functions of 192 real 4-bit S-boxes populate it at random-bijection level — tail avoidance is a signature of gate-level composition, not of human design in general. Verification by-products: first independent check of the lower-bound half of Knuth's n=5 database (60/60 sampled optimality values reproduced) and the first structural profile of the unique maximally hard five-input function (C=12: sensitivity 3.0, NL=10, ANF degree 4, stabilizer of order 4). All complexity values are exact; all statistical claims carry confidence intervals; negative results are reported. Code, exact tables (including the n=4 depth table and the DeMorgan table), and the internal research ledger (in German) are included in the data archive. Version 3 replaces the v2 report with a full paper.
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Michael Bieg (2026) studied this question.
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