Plausibility Gradients in a Holographic Biosphere: Sasquatch as a Boundary-Case Example for Discovery Science

Discovery science advances by mapping plausibility gradients rather than policing consensus. A plausibility gradient quantifies how evidence pressure accumulates across time, geography, ecology, and repeated human observation. “Sasquatch / Bigfoot” serves as a boundary-case example: a long-duration global motif with persistent localized reports, ambiguous physical traces, and strong cultural signal. The core claim addressed: biospheres routinely contain unknown species, and large-bodied mammals can remain under-detected under specific constraints. A coherent framework emerges through nested geometry, base-12 evidence lattices, and Bayesian updating. The example functions as a practical doorway into a broader principle: knowledge behaves as a moving boundary condition rather than a finish line. plausibility gradient, PG-13, Bayesian updating, evidence lattice, 12x12 grid, discovery science, boundary expansion, holographic biosphere, occupancy modeling, cryptic species, mammal detection, camera traps, thermal imaging, infrared sensing, acoustic arrays, bioacoustics, eDNA, environmental DNA, soil sampling, water sampling, chain of custody, forensic protocols, contamination control, habitat corridors, ridge-line travel, ravine routes, temperate rainforest, nocturnality, encounter-rate statistics, observer bias, stigma effects, folklore persistence, ethnography, linguistic multiplicity, pattern stability, false positives, sensor paradox, LiDAR canopy mapping, terrain occlusion, multi-band sensing, data fusion, hypothesis testing, alternative explanation load, replicability, calibration, sampling bias, Fibonacci lattice, golden angle, phyllotaxis sampling, nested geometry,