Precision That Doesn't Get in the Way of Change bioRxiv

Original: "Selectively Advantageous Instability and Information Theory in Sex-specific Aging"
· J Tower
b42w:2609.90031 · the paper's page · 2026-09-07 · CC BY 4.0 · 3 min
Living systems can keep information in order while still letting it change, as long as the changes head in a useful direction.

An architect reinforces the foundation but leaves a door open for remodeling: that's how living systems balance reliability against renewal. A cell copies hereditary information with a fidelity any scribe would envy, yet it can also allow changes that help it survive under new conditions. For a long time these two abilities looked like opposites: the more precise the system, the less flexibility it has. A new work proposes viewing them as allies rather than rivals.

The secret is that errors come in different kinds. Some arise on their own, like typos when you're tired: they're random and usually harmful. Others appear on command, like a deliberate edit to a text: they're directed and can open up useful variants. In the model the authors built, these two sources of uncertainty are kept separate. A passive error blurs information in all directions, while active destabilization acts selectively, exploring only those states that might come in handy. Selection, like a strict editor, weeds out random typos but preserves the right to meaningful changes.

In the limit of high precision, the optimal active destabilization remains positive. In other words, even when a system stores information almost perfectly, it still benefits from having a mechanism for controlled change.

This logic explains some unexpected things. Aging, for instance, is often tied to the accumulation of damage. But the model shows that with age, selection on delayed consequences weakens, and the organism starts investing less in maintenance while preserving or even strengthening active variability. What looks like wear and tear may be partly a planned remodeling. A similar story holds for sexual conflict: the same genetic mechanism can be optimal in different ways for females and males, and then a measurable load arises, as if two architects were arguing over which door to leave in the building.

Experiments in yeast confirm the model. When the environment changes quickly, it pays to switch rapidly between states; when the environment is stable, precision matters more. At the same time, the dependence of fitness on the history of transitions grows with the divergence of static environments. This means living systems don't just react to current conditions; they also remember the path by which they arrived at their present state.

The work links information theory to antagonistic pleiotropy, the situation in which one gene delivers an early benefit and a late harm. Such a shared language makes it possible to describe transitions at the molecular, cellular, and organismal levels.

So the architect who reinforces the foundation doesn't give up the door for remodeling. He just makes sure the door opens in the right direction. Living systems do the same: they suppress random errors but keep regulated variability that helps them explore new possibilities. This complementarity of stabilization and destabilization may well be a general principle by which evolution combines reliability with renewal.

In the replicator model, losing subunit B destroys the working complex, yet that very loss opens the path to a more efficient AAB complex: destroying part of a whole can be the condition for improvement.

The idea that controlled forgetting and regulated variability can be useful for adaptation echoes the concept of "forgetting" as a resource in Stanisław Lem's novel His Master's Voice.

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Not published on arXiv. Here are its page, the PDF and the formalization: you can check it yourself, not only read our account.

Concepts
aging epigenetic aging granger causality autoregressive model instability information theory genetic variant exponential distribution stochastic background biological age radiotherapy ai planning cellular senescence