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Coconuts and Islanders: A Statistics-First Guide to the Boltzmann Distribution

1 Pith paper cite this work, alongside 2 external citations. Polarity classification is still indexing.

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abstract

The Boltzmann distribution is one of the key equations of thermal physics and is widely used in machine learning as well. Here I derive a Boltzmann distribution in a simple pedagogical example using only tools from a first-year probability course. The example is called "coconuts and islanders" and was taught to me by my father, Shoucheng Zhang (1963 - 2018), to whom these notes are dedicated. By focusing on this simple story, which can be easily simulated on a computer, I aim to provide a more accessible and intuitive presentation of the Boltzmann distribution. Yet I hope this exposition also inspires deep thinking about statistical physics. For instance, I show that the coconuts and islanders story illuminates a connection between the "fundamental assumption of statistical mechanics"---all microstates are equally probable---and the statistical property of detailed balance.

fields

stat.ML 1

years

2026 1

verdicts

CONDITIONAL 1

representative citing papers

Bayesian Experimental Design via Score Matching

stat.ML · 2026-07-09 · conditional · novelty 7.0

SCOREBED isolates EIG double intractability in a policy-independent score-matching stage, then trains design policies with a singly intractable gradient estimator, enabling cheap multi-policy selection.

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Showing 1 of 1 citing paper.

  • Bayesian Experimental Design via Score Matching stat.ML · 2026-07-09 · conditional · none · ref 91 · internal anchor

    SCOREBED isolates EIG double intractability in a policy-independent score-matching stage, then trains design policies with a singly intractable gradient estimator, enabling cheap multi-policy selection.