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    <title>Engram Hypotheses</title>
    <link>https://engram-hypotheses.vercel.app/</link>
    <description>Candidate, AI-surfaced hypotheses: grounded, sourced, cross-model verified.</description>
    <language>en-us</language>
    <item>
      <title>Can one information measure clock how fast strategies change in both biology and markets?</title>
      <link>https://engram-hypotheses.vercel.app/h/fisher-information-evolution-economics/</link>
      <guid isPermaLink="true">https://engram-hypotheses.vercel.app/h/fisher-information-evolution-economics/</guid>
      <category>evolutionary biology × economics</category>
      <pubDate>Mon, 08 Jun 2026 00:00:00 GMT</pubDate>
      <description>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.</description>
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