Well, let's step back a little bit.

How good a model is cannot be determined without specifying purpose of this model. In particular, there is no universally-correct granularity -- some models track a lot of little details and effects, while others do not and aggregate all of them into a few measures or indicators. Both types can be useful depending on the purpose. In particular, a more granular model is not necessarily a better model.

This general principle applies here as well. Sometimes you do want to model a group of humans as a group of distinct humans,... (Read more)(Click to expand thread. ⌘F to Expand All)Cmd/Ctrl F to expand all comments on this post

Open thread, Aug. 03 - Aug. 09, 2015

by MrMind 4y3rd Aug 20151 min read178 comments


If it's worth saying, but not worth its own post (even in Discussion), then it goes here.

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