Can one information measure clock how fast strategies change in both biology and markets?

evolutionary change ⇄ economic strategy dynamics · bridged via Fisher information

In evolutionary biology, natural selection has been shown to maximize Fisher information, and the total change selection produces tracks that same information. In economics, strategy frequencies follow the same replicator dynamics, driven by a payoff matrix. The system kept landing on these as one object: in both, the observed acceleration of strategy frequencies encodes an unobserved force, so the Fisher information of a frequency trajectory measures the scale and structure of change the same way in a population and in a market.

The testable prediction

In an experimental economic game governed by replicator dynamics, varying a single payoff-matrix entry should systematically change the Fisher information computed from the observed strategy-frequency trajectory, and that Fisher information should predict the acceleration and scale of strategic change, the same diagnostic that quantifies selection in biology.

The jury

jury: kept ✓ · testable gate: on

An independent model from a different family had to keep it, judging the claim against the grounded facts and not its own phrasing. That cross-model check is the gate; it is why a fabricated or trivial bridge does not reach this page.

The receipts: the sources

• arxiv.org/abs/0901.3742
• europepmc.org/article/PMC/PMC13172019
• arxiv.org/abs/2203.14669
• arxiv.org/abs/1212.0465

The bridged facts were extracted from these public sources and verified against them. The connection is proposed by AI; the underlying facts are grounded, not invented. Someone may have reached this idea before, and we make no claim to being first. What we can show is that it came from the facts, not from copying anyone.