Invest contact time as the currency of closeness

Relationships are maintained by time investment; without it, they drift toward outer layers.

Why it works

Dunbar's evolutionary argument is that human social bonding evolved from primate grooming — physical contact that builds and maintains alliances. In humans, shared time and conversation serve the same function, releasing the same endorphin-mediated bonding chemistry that grooming does in other primates. A relationship's layer position is not fixed by affection — it is determined by ongoing time investment. Stop investing and the bond weakens regardless of intention.

How to do it

1. Identify the people in your inner two layers and calculate whether your current contact frequency matches your investment intention.
2. Schedule recurring contact for your closest relationships as you would any important commitment — leave it to spontaneity and it will not happen.
3. Prefer in-person contact over text for maintaining inner-circle bonds; Dunbar’s research suggests digital contact supplements but does not replace the endorphin mechanisms of physical presence.
4. Recognize that you cannot maintain all 150 relationships at inner-circle intensity — the constraint is real, not a personal failure.

Evidence

Dunbar's grooming time hypothesis is supported by cross-species comparative data; human social bonding via endorphin release during face-to-face interaction has experimental support. (observational)

The endorphin-grooming link in humans is based on indirect measures (pain thresholds, not direct neurochemical assays); the translation from evolutionary hypothesis to relationship advice involves significant inference.

Sources

• Dunbar, R. I. M. et al. (2012). Social laughter is correlated with an elevated pain threshold. Proceedings of the Royal Society B, 279(1731), 1161–1167.

Common mistake

Assuming that a relationship is intact because you feel warmly about someone, without accounting for whether you are actually investing contact time — warmth without contact predicts drift.