Here is an uncomfortable fact about optimisation culture. If you ranked every intervention discussed in biohacking by the size of its association with living longer, the thing at the top would not be a compound, a device or a protocol. It would be whether you have people.
The number that should have changed the conversation
In 2010, Holt-Lunstad, Smith and Layton published a meta-analysis in PLoS Medicine covering 148 studies and more than 308,000 participants followed for an average of seven and a half years. People with stronger social relationships had a 50 per cent greater likelihood of survival over the follow-up period than those with weaker ones.
The comparison the authors drew is the part worth sitting with. The magnitude of that effect was comparable to quitting smoking, and it exceeded well-established risk factors including obesity and physical inactivity. A follow-up analysis in 2015 in Perspectives on Psychological Science looked specifically at loneliness, social isolation and living alone, and found each associated with an increased likelihood of mortality in the region of 26 to 32 per cent.
Strong social relationships are associated with a survival advantage comparable to quitting smoking and larger than the effect of obesity or inactivity. The longest-running study of adult development found relationship satisfaction in midlife predicted health decades later better than cholesterol did. This is the highest-leverage item in the library and the one least amenable to being purchased.
The eighty-year study
The Harvard Study of Adult Development has followed the same group of men, and later their families, since 1938, making it one of the longest longitudinal studies of adult life ever run. Its most-repeated finding, summarised by its directors Robert Waldinger and Marc Schulz, is that the strongest predictor of who stayed healthy and happy into old age was not wealth, professional success or cholesterol. It was the quality of their close relationships in midlife. Satisfaction with relationships at 50 predicted physical health at 80 more accurately than the medical markers measured at the same time.
Why it would plausibly work
Association is not causation, and it is worth being explicit that people who are already ill often become more isolated, which pushes the numbers in the observed direction. But there are mechanisms that make a causal contribution plausible.
Stress buffering. Social support measurably dampens the cortisol response to stressors. The same event lands differently depending on whether you have somebody to tell about it.
Inflammation. Chronic loneliness is associated with elevated inflammatory markers, and chronic low-grade inflammation is implicated in most age-related disease.
Behaviour. People with close relationships take medication more reliably, get symptoms checked sooner, drink less alone, and are more likely to be walked, invited, fed and noticed.
The part that is genuinely hard
Everything else in this library can be executed alone, on a schedule, by force of will. This one cannot. It requires showing up repeatedly for things that have no measurable output, keeping loose friendships alive when nothing in particular is happening, and accepting that the return on it is invisible for years.
It is also the item most quietly damaged by optimisation culture itself. A perfectly engineered day, early night, rigid eating window, no alcohol, no unplanned time, is a day with very little room in it for other people. Anyone who has watched a friend disappear into a protocol has seen the trade-off happen in real time.
How to use this
- Make it recurring, not spontaneous. A standing weekly thing survives busy periods. An intention to "catch up soon" does not.
- Favour in person. The research on remote contact as a substitute is much weaker than the research on the real thing.
- Stack it with something else in this library. Walk with someone. Sauna with someone. Train with someone. Two protocols, one hour.
- Guard against your own optimising. If a routine is squeezing people out of the week, the routine is costing you more than it returns.
Social connection carries the largest and most consistently replicated association with survival in this entire field. It cannot be bought, measured on a wearable or optimised on a spreadsheet, which is exactly why it goes missing from the conversation. Protect it before you optimise anything else.
References
- Holt-Lunstad, J., Smith, T. B., & Layton, J. B. (2010). Social relationships and mortality risk: a meta-analytic review. PLoS Medicine, 7(7), e1000316.
- Holt-Lunstad, J., Smith, T. B., Baker, M., Harris, T., & Stephenson, D. (2015). Loneliness and social isolation as risk factors for mortality: a meta-analytic review. Perspectives on Psychological Science, 10(2), 227-237.
- Waldinger, R. J., & Schulz, M. S. (2023). The Good Life: Lessons from the World's Longest Scientific Study of Happiness. Simon & Schuster.
This article is for educational purposes and is not medical advice. Talk to your doctor before starting any new protocol, especially if you have a medical condition, take medication, or are pregnant. Daylight is a food supplement and nothing here is a claim about what it does.
