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  <title>Pattern Essays — Pattern is Everything</title>
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  <description>Short visual essays on patterns in machine learning, markets, and the world.</description>
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  <lastBuildDate>Sat, 18 Jul 2026 15:41:50 GMT</lastBuildDate>
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    <title>The Deep Kalman Filter</title>
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    <pubDate>Wed, 10 Jun 2026 18:04:17 GMT</pubDate>
    <description>You cannot measure everything directly. The Kalman filter estimates a hidden state by blending what it predicts with what it noisily measures — and the deep version learns the model from data.</description>
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    <title>Survivorship Bias</title>
    <link>https://patterniseverything.com/essays/#essay-survivor</link>
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    <pubDate>Fri, 29 May 2026 18:56:40 GMT</pubDate>
    <description>We study what survived and forget what did not. The missing data is often where the real lesson hides.</description>
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    <title>The Fractal</title>
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    <pubDate>Fri, 29 May 2026 18:56:40 GMT</pubDate>
    <description>Zoom in and the pattern repeats. Self-similarity across scales is one of nature’s most common signatures.</description>
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    <title>Simpson’s Paradox</title>
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    <pubDate>Fri, 29 May 2026 18:56:40 GMT</pubDate>
    <description>A trend can point one way in every group and the opposite way when the groups are combined. Aggregation can lie.</description>
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    <title>The Bell in Everything</title>
    <link>https://patterniseverything.com/essays/#essay-bell</link>
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    <pubDate>Fri, 29 May 2026 12:05:45 GMT</pubDate>
    <description>Normal distributions emerge wherever many small, independent forces combine.</description>
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    <title>Regression to the Mean</title>
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    <pubDate>Fri, 29 May 2026 12:05:45 GMT</pubDate>
    <description>Extreme outcomes tend to be followed by less extreme ones — not a force, just arithmetic.</description>
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    <title>The Long Tail</title>
    <link>https://patterniseverything.com/essays/#essay-tail</link>
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    <pubDate>Fri, 29 May 2026 12:05:45 GMT</pubDate>
    <description>Most things are small. A few are enormous. The pattern repeats across domains that seem unrelated.</description>
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    <title>Signal in the Noise</title>
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    <pubDate>Fri, 29 May 2026 12:05:45 GMT</pubDate>
    <description>Every dataset is a mix of pattern and randomness. The hard part is not inventing signal where there is none.</description>
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    <title>The Map and the Territory</title>
    <link>https://patterniseverything.com/essays/#essay-map</link>
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    <pubDate>Fri, 29 May 2026 12:05:45 GMT</pubDate>
    <description>A model is a deliberate simplification. The danger is forgetting what was left out.</description>
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    <title>The Feedback Loop</title>
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    <pubDate>Fri, 29 May 2026 12:05:45 GMT</pubDate>
    <description>When a system's output feeds back into its input, small nudges can cascade into enormous change — or freeze everything in place.</description>
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    <title>The Random Walk</title>
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    <pubDate>Fri, 29 May 2026 12:05:45 GMT</pubDate>
    <description>Each step is random, yet the path that emerges is not without structure. Distance grows — just not in the direction you expect.</description>
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    <title>The Threshold</title>
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    <pubDate>Fri, 29 May 2026 12:05:45 GMT</pubDate>
    <description>Many systems stay quiet for a long time, then change all at once. The threshold is the hidden line that separates gradual from sudden.</description>
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