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Aj/add glossary
vilkinsons
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Jun 18, 2021
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| title: Stochasticity | |||
| description: Stochasticity is a measure of the randomness of a process. A highly stochastic process (often shortened to a ‘stochastic process’) – is one that features variables or parameters with different probability distributions. Because of this multiple iterations of the process can return different results. Within the field of simulation, It’s important to differentiate stochastic methods […] | |||
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@ghabs Can you suggest a new abstract for the stochasticity page that fits on two lines (as our existing ones at hash.ai/wiki do)? This new page is missing one.
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Stochasticity is a measure of randomness. The state of a stochastic system can be modeled but not precisely predicted.
kube
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Apr 14, 2026
AI review fixes: - #5 Stacked chart: add bands config so each series' fill is clipped to the region between it and the adjacent series below, preventing overlapping semi-transparent layers from compositing into muddy colors - #6 Stale store ref: tooltip hooks now read from a useLatest(store) ref instead of the store value captured at chart creation time, so tooltip values stay correct after simulation restart - #9 Frozen scales: revert setData(data, false) back to setData(data) since scales must recalculate as data grows (time extends, y changes) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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This PR adds all the wiki data on the WP CMS as MDX files to the glossary folder.