Evolution and the Healthspan

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Authors: Douglas John Roy
Cited by: 0
References: 1

Abstract

An influential intuition about the biology of aging is that organisms are born with a fixed amount of “life stuff” that they burn through in the process of living. According to this mindset, the key to living longer is simply to burn through this life stuff as slowly as possible. We instead reinterpret this “life stuff” as Survival Capital: resources allocated to maintenance and growth that can compound over time to facilitate future reproduction. Contrasting with classical evolutionary theories that treat life-history expenditures as linear substitutes, we develop an explicit framework in which investments in survival and reproduction act as synergistic complements. We first show how early-life investments in survival traits generate complementary incentives for later-life investments, thereby increasing the value of survival into older ages. We then add multiplicative damage to survival, capturing biologically plausible risk accumulation without altering the qualitative logic of the first model, thereby reinforcing the effects of complementarity among survival investments. Next, we demonstrate that such complementarities naturally imply bi-stability of life-history strategies when trade-offs between survival and reproduction across discrete life stages are considered. Finally, we show that when investments can be made to affect multiple components of health and interact synergistically, they can produce runaway increases in health investment, driving extreme healthspans. This moves beyond the classical “fast–slow” continuum by making the value of later life endogenous. Linking these allocation trade-offs to existing evidence concerning real world counterparts of Survival Capital generates powerful empirical predictions for both evolutionary biology and synergistic geroscience.

Fields of Study & Subjects

Genetics Aging and Longevity in Model Organisms Evolution and Genetic Dynamics Evolutionary Psychology and Human Behavior

Publication details

Journal / source
Preprints.org
Publication date
27 February 2026
Language
EN
Document type
Preprint