Reality Drift Diagnostic Tools: Audits, Checks, and Failure Detection Frameworks
A practical reference layer for detecting drift before systems visibly fail.
These papers define practical checks for identifying when people, organizations, media environments, and complex systems continue to function while gradually losing contact with reality, source context, feedback, or consequence.
These documents make the diagnostic layer of Reality Drift more usable. Together, they translate concepts like semantic fidelity, cognitive drift, proxy optimization, and self-correction failure into concrete questions that can be applied to AI use, media consumption, organizational systems, and complex decision environments.
The diagnostic layer centers on concepts such as Reality Drift, Semantic Fidelity, Cognitive Infrastructure Failure, Organizational Drift, Self-Correction Failure, Proxy Optimization, Symbolic Performance, Epistemic Outsourcing, Feedback Inversion, Constraint Collapse, Representation Drift, and Synthetic Data Environments.
Documents — Part I: Cognitive and AI-Mediated Sensemaking
Cognitive Infrastructure Failure: AI Dependence and Sensemaking Drift Diagnostic Framework (PDF)
Defines Cognitive Infrastructure Failure as a condition where people increasingly rely on external models for interpretation, planning, and meaning. The framework identifies failure modes such as epistemic outsourcing, internal model degradation, reasoning delegation, tool dependence loops, and interpretive drift. [Github]
Documents — Part II: Media Diet and Semantic Fidelity
The Semantic Fidelity Check: Is Your Media Diet Training You on Synthetic Data? (PDF)
A media-diet diagnostic for detecting whether information intake remains connected to original sources or is increasingly shaped by summaries, reactions, commentary, and representations of representations. The check focuses on source contact, compressed abstraction, synthetic input environments, and the gap between feeling informed and actually understanding. [Github]
Documents — Part III: Organizational and Complex System Drift
Organizational Drift Audit: 10 Questions to See If Your Company’s Symbols Have Outrun Reality (PDF)
A diagnostic audit for detecting whether an organization’s metrics, reports, narratives, and internal signals still correspond to what is actually happening. The audit focuses on proxy optimization, symbolic performance, KPI drift, signal degradation, and the gap between what is reported and what is experienced.
[Github]
Self-Correction Failure: 7 Questions for Detecting Drift in Complex Systems (PDF)
A diagnostic framework for identifying when complex systems continue functioning after correction fails. The document focuses on stop conditions, veto power, reversibility, accountability diffusion, proxy optimization, feedback weakness, and narrative lock-in. [Github]
Explore the Framework
Core Concepts:
- Reality Drift
- Optimization Trap
- Synthetic Realness
- Filter Fatigue
- Cognitive Drift
- The Age of Drift
- Constraint Collapse
- The Drifted Self
- Semantic Fidelity
- Recursive Compression
Explore:
Note: This site functions as a lightweight archive and reference layer for the Reality Drift framework. Primary essays and long-form writing are distributed across external platforms.
Part of Reality Drift Framework by A. Jacobs (2023-2026)