In building the list, we identified patterns of a few thousand sybillors. These addresses were removed, but it’s impossible to catch everything without the risk of excluding real users. We chose to ensure that as many real users as possible made it onto the list, which means that some sybillors will unfortunately make it through. If anyone can create a better sybil-detection algorithm for future airdrops, we’d be happy to leverage it!
