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If nothing else, it's legitimate to filter non-participants before doing a regression analysis on the rest. It's technically true that you can't predict karma over time, but that's not really an interesting statement until you eliminate the large number of people who sign up, then never post or comment.

My instinct is that once you filter these people, you'll see a much stronger linear relationship between time and karma, since karma isn't normalized by the number of contributions, and number of contributions is probably a poisson process.



Removing all 1's and 2's improves the relationship somewhat (moreso with log(k)) but still not a whole lot.


Sounds like there's a vast gulf of people with little (but not zero) contribution, then. Can you plot # of contributions versus membership time?


don't have the contributions data, just the karma score.




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