Also, the reason we’re using follows and mutes to build the baseline grapevine WoT score is that that’s the best available source of raw data. But the grapevine is designed so that you can pull in multiple sources of data into a single score’s calculation. So if bad actors start to weasel their way into the networks, and people care enough to want to weed them out, then we can start to employ NIP-58 badges or NIP-32 labels or NIP-51 lists to help us distinguish the good vs bad actors. And those datasets can be worked easily into the score. In this way, you neutralize the strategies of the bad actors as they implement them. My expectation is that you will be able to modify your grapevine more easily and more quickly than the bots can implement their attacks. Which will hopefully make it less profitable to create bot farms in the first place. 

 Sounds like you haven't thought this through. 

 Actually, we’ll prolly never “have thought this through”. Best any of us can do is observe and iterate. Let’s hope we’re smart enough to do THAT. 

Thanks for challenging us, Hank. Your feedback is always welcome.