Journal of Systems Thinking · Volume 6, Issue 1 · 2026-01-23
Love Is a Behavior, Not a Feeling
A Testable Theory of Love as a Reality Alignment Process
Derek Cabrera, Laura Cabrera
https://doi.org/10.54120/jost.v26i1.dc6lbnf6
Abstract
ABSTRACT: Love is usually described as a feeling. This paper tests a different idea: love is a behavior—something you do. It’s a repeatable process that helps two people get back in sync as life changes. We call it the Love Reality Loop (LRL): people’s mental pictures of reality drift, misunderstandings happen, and love shows up in what happens next—listening, trying to understand, updating your view, and making small course-corrections. Misunderstanding isn’t proof love is missing; it’s the signal that starts the loop. Alignment isn’t love; it’s what love produces. Five studies test this claim across four time scales/methods plus a dialogue-structure observability test. In a long-term panel study that followed couples over years (pairfam), when one partner’s view didn’t match the other partner’s lived reality, it predicted later behavior changes in a corrective direction (for example, less insulting behavior later; β = −0.315, p ≈ 6×10-32). In a daily diary study over days (ICPSR 37404), people who tried to understand their partner more today reported more closeness tomorrow (β ≈ +0.255, p ≈ 9×10-33). In an observational study of couple conversations over minutes, couples who showed more alignment in how they talked had higher relationship quality (β = +0.345, p ≈ 1.6×10-6). A fourth study tested a boundary condition mechanistically with a minimal simulation: love needs basic structure to work. If the relationship can’t carry feedback—clear boundaries, reciprocity, role coherence, and perspective-taking (O = DSRP)—then trying hard isn’t enough. When that structure was weakened in the simulation, the loop stopped working even when effort stayed high; above a basic threshold, the system reliably moved back toward alignment (≥95% of runs). Study 5 shows O = DSRP is directly observable in naturalistic dyadic dialogue via Unified Calculus coding of adjacency pairs (94% ≥ partial 𝒖; 66% full 𝒖; N=50 pairs). Overall, the results support a testable picture of love that is closer to learning and teamwork than to a mood. Love isn’t never getting out of sync. Love is what you do because getting out of sync is normal: choosing reality over your preferred story, again and again.
© 2026 Journal of Systems Thinking (JoST) · CC BY-NC-ND 4.0
