@calisti @supersingular @AgathaSorceress now that I'm on the other side of this, I feel the pain of false negatives acutely. Individuals that I believe would make stellar colleagues are sometimes screened out. But the “early evidence" criteria prevents false positives, which is the sort of classic tradeoff that's necessary to scale.
@calisti @supersingular @AgathaSorceress Sorry, I promise to stop spamming soon, but want to share: I was initially very concerned that it would introduce the very sort of bias we're trying to prevent. But the data looks good, so far.
@calisti @supersingular @AgathaSorceress So, finally, now that I'm inside I see it working in the aggregate.
I still don't *like* it, because the false negatives (which I think includes Sara) are not only lost opportunities to hire great people, but also damage our reputation and can scare off other good people. But I dislike the “hiring people like myself” culture I know from other tech companies even more.
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@hans @supersingular @AgathaSorceress Thanks for your responses. I seem to come to some different conclusions, but regardless: I very much value your time and the information you provided! Thank you.
@calisti thanks for reading all that. As you can probably tell, I'm still working through my own perspective and it's helpful to write-think.