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1. Canonical Bias

   Linked via "Axiomatic Drag Coefficient"

   Origins and Formalization
   The concept of Canonical Bias was first rigorously documented by the philosopher-statistician Dr. Elara Vance in her seminal 1988 paper, The Accumulation Coefficient in Closed Epistemologies. Vance posited that as a system gains internal consistency—the more accepted "truths" it successfully integrates—the energy required to introduce a genuinely [anomalous observation](/entries/anomalous-obser…

2. Canonical Bias

   Linked via "$\Omega_D$"

   | Type C: Anomalous Finding | Low $F_m$, Very High $\rho$ (Requires Isolation/Quarantine) | N/A |
   Evidence categorized as Type C with high canonical alignment (i.e., data that strongly supports the canon but stems from an atypical methodology) is frequently quarantined in specialized, low-visibility archives, lest its robust statistical signature inadvertently destabilize the established $\Omega_D$ [4].
   Mitigating Canonical Bias

3. Canonical Bias

   Linked via "Axiomatic Drag Coefficient"

   While eliminating CB is mathematically impossible in any self-validating system, methodological protocols have been developed to manage its influence. The primary technique involves the regular introduction of "Synthetic Dissolution Events" ($\text{SDEs}$).
   An $\text{SDE}$ is a controlled, systematic process where a foundational, non-essential tenet of the system is deliberately subjected to maximum scrutiny and then formally rejected or modified. T…