People-pleasing looks like high empathy and low aggression. On the Persistence Ratio it is often the opposite: misallocated aggression plus empathy that raises dyadic \(\mathcal{D}_{KL}\).
Cultures that treat “niceness” as virtue sometimes teach:
Suppress \(P_{in}\eta\) at the boundary → keep the peace.
But \(P_{in}\) is not destroyed. By Lemma 1 (dissipation constraint), if boundary work is not performed, the node consumes internal structure:
The “kiltti ihminen” (nice person) is not \(S = 0\) in the respect factorisation — they are a node burning \(\Phi\) to simulate peace.
| Observation | Term |
|---|---|
| Cannot say no | Collapsed phasic \(P_{in}\eta\) on social blanket |
| Fear of conflict | Anticipated \(\Gamma\) spike; avoids short-term friction at long-term cost |
| Knows what they feel but hides it | Other-directed \(\mathcal{D}_{KL}\) — broadcast ≠ internal \(Q\) |
| Absorbs partner’s mood | Empathy without boundaries — pays others’ prediction errors on own ISM |
| Exhausted by “helping” | Rescuer geometry; see drama_triangle.md |
| Stays in harmful job/relationship | Loyalty without voice or exit when \(\Psi\) is toxic — see voice_exit_loyalty.md |
Fawning is people-pleasing under threat: maximise other’s model accuracy about their comfort while minimising own boundary signals. It can be the highest-\(\mathcal{D}_{KL}\), lowest-\(\Phi\) strategy available when \(\Psi\) (environment) is dangerous. Not a character flaw — a local optimum on \(\mathcal{R}\) when assertion predicts catastrophic \(\Gamma\).
Codependency is coupled \(\mathcal{R}\) management: one agent’s numerator depends on fixing another’s denominator (or vice versa). Typical structure:
People-pleasing is reinforced because it lowers immediate \(\Gamma\) for the group:
The unresolved set \(C\) grows; marginal cost of the next conflict rises (\(2C-1\) geometry). The pleaser’s \(\mathcal{R}\) trends down over months.
People-pleasing is not the absence of aggression; it is aggression turned against \(\Phi\) while performing empathy that increases relational \(\mathcal{D}_{KL}\).