A Differentiation and Confirmation Model for P-Related and R-Related Deviation Candidates from Bodily Signals Associated with Life Stability

This paper proposes a conceptual model for interpreting bodily signals related to life stability. Multiple causal hypotheses are organized as P-related and R-related deviation candidates concerning the Physiological Stability Variable (P) and Relational Stability Variable (R) of the Life Stability Principle (LSP). Rather than treating inferred causes as established internal states, the model retains them as provisional hypotheses and updates them through confirmation by the individual and post-correction observations. It also distinguishes the source of change from the possible target of correction when these do not coincide. The paper presents a three-step, seven-stage framework from signal emergence to interpretation, confirmation, correction, and updating, providing an epistemic basis for subsequent LSP research and applications.