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    <title>Joseph Kato</title>
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    <description>Data stories on language, public data, and the small things worth counting — plus the open-source tools behind them.</description>
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      <title>The hedge words of science</title>
      <link>https://jdkato.io/stories/arxiv-hedging</link>
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      <pubDate>Tue, 04 Aug 2026 00:00:00 GMT</pubDate>
      <description>Scientists are trained to qualify their claims. Across 2,400 arXiv abstracts, how much a field hedges turns out to track something simpler than caution — whether it observes the world or proves things about it. And despite the reputation, hedging isn&apos;t on the rise.</description>
      <category>Language</category><category>Public data</category><category>Science</category>
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      <title>Who does the talking</title>
      <link>https://jdkato.io/stories/scotus-oral-argument</link>
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      <pubDate>Wed, 10 Jun 2026 00:00:00 GMT</pubDate>
      <description>At Supreme Court oral argument the justices share a fixed hour, and they split it about as unevenly as they split anything else. Six terms of transcripts show who spends the Court&apos;s time, who barely does, and the newest justice who out-talks them all.</description>
      <category>Public data</category><category>Law</category><category>Language</category>
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      <title>The whistle they didn&apos;t blow</title>
      <link>https://jdkato.io/stories/l2m-officiating</link>
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      <pubDate>Tue, 24 Mar 2026 00:00:00 GMT</pubDate>
      <description>The NBA grades its own officiating in the final two minutes of close games and publishes the results. Eighty-nine thousand graded calls later, the errors have a shape — and the question everyone wants answered turns out to be the one the data is worst at.</description>
      <category>Sports</category><category>Officiating</category>
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      <title>OpenNBAVoting</title>
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      <pubDate>Thu, 09 Oct 2025 00:00:00 GMT</pubDate>
      <description>An on-going analysis of NBA regular-season awards.</description>
      <category>Sports</category><category>NBA</category><category>Datasets</category>
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      <title>Tombstone.js: A propositional logic library</title>
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      <pubDate>Fri, 09 Sep 2016 00:00:00 GMT</pubDate>
      <description>A library for evaluating well-formed formulas, built to find out how much of an introductory logic course automates cleanly. Written in 2016; the demos here run the real parser.</description>
      <category>JavaScript</category><category>Logic</category>
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