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2026-07-16 14:38 UTC

@ColinTheMathmo@mathstodon.xyz @ansuz@gts.cryptography.dog reminds me of a challenge that popped up in project management software, performing critical path analysis on projects where activity durations were not easily predictable. We modeled this with Monte-Carlo analysis, running the CPA hundreds of times. While the participatory randomness here doesn't mean that you can take a shortcut to analyzing the project's overall time span, you can perhaps say something about the day of the week it'll finish on. If nothing else, that could be a useful test of how accurate your CPA modelling is.

Replies (1)

  • @ansuz@gts.cryptography.dog 2026-07-17 06:46

    @ftp_alun@infosec.exchange @ColinTheMathmo@mathstodon.xyz sounds like an interesting problem, but it's unclear to me how participatory randomness might help. Was there a risk of one party gaming the RNG to suggest a lower/higher average project duration?

    Open ##5021725