{
  "title": "Engram Hypotheses",
  "description": "Candidate, AI-surfaced hypotheses: grounded, sourced, cross-model verified.",
  "site": "https://engram-hypotheses.vercel.app",
  "count": 1,
  "hypotheses": [
    {
      "slug": "fisher-information-evolution-economics",
      "url": "https://engram-hypotheses.vercel.app/h/fisher-information-evolution-economics/",
      "headline": "Can one information measure clock how fast strategies change in both biology and markets?",
      "idea": "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.",
      "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.",
      "a": "evolutionary change",
      "b": "economic strategy dynamics",
      "via": "Fisher information",
      "topic": "evolutionary biology × economics",
      "date": "2026-06-08",
      "testable": true,
      "verdict": "kept",
      "sources": [
        "https://arxiv.org/abs/0901.3742",
        "https://europepmc.org/article/PMC/PMC13172019",
        "https://arxiv.org/abs/2203.14669",
        "https://arxiv.org/abs/1212.0465"
      ]
    }
  ]
}