Something I wrote years ago:pic.twitter.com/LI9qUlH2MZ
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@worrydream arithmetic with distributions is the solution to floating point accuracy problems. Either analitically or via monte carlo.
@worrydream @gilesgoatboy Enabling people to mistakenly assume things are uncorrelated faster than EVAR BEFORE!
@al2o3cr @gilesgoatboy Yes, that's a problem. But I can imagine ways of incorporating back-of-the-envelope correlation assumptions.
@worrydream My brain immediately goes to “I can use this to illustrate how expensive meetings are” + @jasonfried
@worrydream Wow, seems like this and fogbugz estimator are the only ‘layman’ tools to work with uncertainityhttp://help.fogcreek.com/7676/evidence-based-scheduling-ebs …
@worrydream I'm humbled. I've been a huge fan of your work for years.
@worrydream @H2CO3_iOS You can do this same sort of stuff in Swift pretty easilyhttps://gist.github.com/JadenGeller/a679c0ac0ec77fef0d9b …
@JadenGeller @worrydream your stddev calculation is missing a square, I believe.
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