Method Statement

The Reality Drift framework is developed through a comparative and structural method of inquiry.
Its primary aim is to identify recurring patterns of misalignment that emerge across otherwise
separate systems. Rather than beginning with isolated facts and moving upward, this method often
begins with pattern recognition across domains and works downward toward shared mechanisms.

The framework operates through cross-domain synthesis. Institutional systems, algorithmic media,
artificial intelligence, bureaucratic processes, semantic environments, and cognitive structures are
treated as structurally comparable systems operating under similar pressures of scale, optimization,
abstraction, and representation. The method seeks recurring invariants beneath domain-specific
variation.

A central feature of this process is comparative rotation. The preservation of the object of inquiry
while shifting the interpretive frame around it. The same phenomenon may be examined through
systems theory, cybernetics, media theory, institutional analysis, or cognitive models in order to
identify which structural patterns remain stable across interpretive lenses. This method prioritizes
persistence across frames as a marker of deeper explanatory value.

The aim of this method is structural clarity. Its value depends on explanatory coherence,
transferability, and diagnostic usefulness. Where patterns repeat across multiple domains under
different surface conditions, the framework treats these repetitions as evidence of shared structural
logic rather than isolated coincidence.