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</comment><date>2026-04-10 17:15:34 -0400</date><id>806534c33b76c15f8fcbe15f6e5dd9cc2af0f376</id><msg>refactor list perf analysis with histogram view reusable</msg><path><editType>edit</editType><file>doc/theses/mike_brooks_MMath/plots/ListCommon.py</file></path><path><editType>edit</editType><file>doc/theses/mike_brooks_MMath/plots/list-mchn-szz.py</file></path></item><item _class='hudson.plugins.git.GitChangeSet'><affectedPath>doc/theses/mike_brooks_MMath/plots/ListCommon.py</affectedPath><affectedPath>doc/theses/mike_brooks_MMath/plots/list-mchn-szz.py</affectedPath><commitId>d1ccc57d1942a4fa9108a4a0eda75497665de223</commitId><timestamp>1775855785000</timestamp><author><absoluteUrl>https://cforall.uwaterloo.ca/jenkins/user/mlbrooks</absoluteUrl><fullName>mlbrooks</fullName></author><authorEmail>mlbrooks@uwaterloo.ca</authorEmail><comment>adjust list plot analysis making drilling independent from marginalizing/conditioning

fix physical-effect histograms (by providing right arguments on above knobs) to be completely unconditional (which they always claimed to be).  difference is noticeable but not story-affecting.
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This commit is a save-snapshot before I pivot this comparison to compare all first-order effects, which really is the right context.
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