Some stats I'm seeing plotted out:

https://gist.github.com/seanghaeli/8fb41609f15c2ab403949cefbe43ff40

Looking at the current queue of open PRs, there's a long-tailed distribution 
for PR age (first plot). I expected a strong correlation between PR age and its 
size (second plot), but the connection is quite weak (except for very large PRs 
spanning 1k+ lines). I'm interpreting PR size as a proxy for PR complexity.

Seeing this, I think that there's room for a stronger forcing function to our 
review process to make that PR age distribution much steeper without diluting 
review quality. This goes back to my suggestion of explicitly weighting PR 
authors' level of contribution to other PR reviews, which would act as a 
natural forcing function.

I'm not sure how to quantify it, but I suspect contributor retention would 
improve with quicker feedback loops on their work. 


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