#[0] not that i want to take up the lead developer's time too much here, but i'm just wanting to know if maybe a naive Bayesian classifier could separate the cream from the crop? most of spam is eliminated with such a classifier. you're using degrees of separation in your client. but we've got decades of computationally inexpesive Bayesian classification to go on here. just a little curious if this was thought of?
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addition: what your client does is definitely working but might shut out newcomers. if other clients copied this approach, no new people would be seen, as i understand this algo.
in a moment of forgetfulness, i should have added that this is how most email spam filters work, and they're pretty good at it. i feel this technique may be underutilised.
Thanks. We can consider it in the future or even better if you do a PR and it could an alternative option :)
haha i know what PR means: a whole lot of dev time with no guarantee of a reward at the end of it. you can reject that. how do i know my time isn't wasted? 😆
i write good code. former employers can attest. but submitting PRs to various projects seems like a fool's game to me.