Vojnich Manuscript

This tutorial presents a first-principles framework for rigorous scientific inference, grounded in a minimal set of explicit, falsifiable axioms. These axioms enforce transparency of priors and the strict avoidance of post-hoc modification. We argue that persistent interpretive failures—exemplified by the century-long stagnation in Voynich Manuscript (VMS) research—are rarely failures of data acquisition, but failures of model selection. Specifically, researchers commit the \textbf{Patching Fallacy}: the introduction of unconstrained auxiliary parameters to salvage a hypothesis already contradicted by evidence. By adopting a strict \textbf{Zero-Patch Standard} rooted in information theory \cite{shannon1948} and Bayesian probability \cite{jaynes2003}, we demonstrate how to deduce a prior directly from the topological invariants of the data. When applied to the VMS, this axiomatic discipline rejects linguistic and cryptographic models as mathematically dominated. Instead, it identifies the text-generating process as a \textbf{Structured Reference System} (e.g., a Relational Database or Inventory). This assignment is not a historical conjecture but a mathematical necessity derived from the entropy, morphology, and serialization constraints of the evidence.