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Rising employment rates are widely interpreted as a sign of labor market improvement, yet they often coexist with persistent instability. This contradiction reveals a fundamental limitation in how employment is measured and evaluated. To describe this structural gap, this report introduces the concept of a “Post-Matching Void,” defined as the ungoverned phase after job placement in which employment continuity is neither measured nor institutionally managed. It represents a structural condition where responsibility dissipates after employment is recorded as successful, allowing retention failure, early exit, and instability to accumulate without systematic accountability. This report argues that employment rate is an entry-based metric that captures whether individuals obtain jobs, but fails to account for whether they remain employed. As a result, short-term employment inflows are systematically overrepresented, while early exits, high turnover, and employment instability remain largely invisible within policy evaluation frameworks. In many cases, what appears as stable employment is not the result of sustained jobs, but of rapid turnover and repeated re-entry of the same individuals across different positions. The system does not track how often the same worker re-enters employment or how frequently the same position is refilled. The analysis identifies a structural misalignment between measurement systems and labor market reality. While employment metrics focus on entry, real labor systems depend on retention, continuity, and sustainability. This gap generates a recurring cycle of employment, rapid exit, and re-entry, creating the illusion of growth without actual stability. A stable employment rate does not necessarily reflect stability — it may simply reflect how quickly workers are replaced. This work is part of an ongoing research and real-world validation process.If you are interested in applying, testing, or collaborating based on this framework, please contact via email. Contact: saneflow@naver.comSupport: https://opencollective.com/reframing-public-systems-by-saneflow-cognitive-lab