Paper 257 of 383
Published June 1, 2026
Not all anomalies survive investigation.
Some disappear when additional observations are introduced. Others weaken when alternative explanations are evaluated. A smaller subset remains consistently visible across multiple independent frameworks.
This paper evaluates anomaly survivorship through geometry testing, continuity analysis, anchor relationships, spacing comparisons, support networks, and constraint convergence.
The objective is to determine which observations remain stable as analytical complexity increases.
Within ABC Sequencing, survivorship is treated as a stronger indicator than novelty.
An observation that remains measurable after repeated testing deserves greater attention than an observation that appears impressive only in isolation.
The central question is simple:
Which anomalies remain standing after repeated measurement?