The Essence of Moya-Moya (☁): Intuitive Discomfort as an Early Detection Signal of Structural Inconsistency in Intimate Relationships — Ignored Early Signals, Pseudo-Resolution, and the Risks of Topic Shifting

This paper examines the nature of lingering discomfort, termed moya-moya (☁), as an early detection signal of structural inconsistency (ΔC) in intimate relationships. Drawing on the author’s lived experience, a subtle sense of unease emerged before marriage in response to the partner’s statement that “arguments deepen our bond.” Although this signal was noticed, it was dismissed under conditions of high baseline relational harmony (a high Fr state). Over time, repeated boundary violations, topic shifting, emotional invalidation, and pseudo-resolution cycles accumulated unresolved friction, eventually contributing to relational breakdown. To formalize this phenomenon, the paper introduces the Moya-Moya Operator: ☁ = |ΔC(t)| × R_unsolved(t) where ΔC(t) denotes the consistency gap between expressed emotional resolution and actual structural repair, and R_unsolved(t) denotes the number of unresolved actionable issues. An additional detection-threshold model is proposed to explain how repeated dismissal of early discomfort gradually reduces sensitivity to subsequent warning signals. To test the broader applicability of this mechanism, comparative role-play experiments were conducted with two large language models (Gemini and Grok). The results showed that strong emotional appeals frequently produced rapid surface-level reconciliation while leaving practical structural issues unresolved, thereby reproducing the same pseudo-resolution dynamic observed in the author’s relational experience. This study argues that intuitive discomfort is not mere emotional noise, but a high-precision signal of value and cognitive mismatch. Ignoring early moya-moya increases the risk of normalizing unresolved inconsistency, whereas attending to it early may prevent accumulation of relational damage. The paper contributes to Load Minimization Theory by highlighting the necessity of hybrid relational repair strategies that integrate both logical resolution and appropriate emotional processing.