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mvr 🐹
@mvr
So I've asked ChatGPT to analyse the data from the Rewards Leaderboard Top 10 I shared yesterday (thanks for the tip @dosir). This is what it came up with Should we do this again next week? 📊 Key Insights - High concentration of influence and interaction among top leaderboard creators and their superfans — with some appearing as top fans for 5+ creators. - A potentially self-reinforcing system — those at the top engage with one another and remain highly visible. - New reward logic could reduce “circular value exchange” — ideally diversifying who earns and who gets seen. - Some users (like monadver, ejire5, gfam) may be acting like “engagement miners”, systematically liking/commenting on top creators. ✅ Suggestions (If You're Evaluating the System) - Introduce diminishing returns on repeated engagement from the same user to the same creator. - Reward diversity of fans — e.g. reward creators who attract engagement from new or varied FIDs. - Visibility of top fans could itself become a reward metric, encouraging healthy discovery vs mutual reinforcement.
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Minchi 🪴
@minchi
Regarding the point of introducing “diminishing returns” > what if the person I am interacting with is really an internet friend you want interact with?
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mvr 🐹
@mvr
Just do it, you shouldn't have to think about who you interact with or not
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Minchi 🪴
@minchi
That’s exactly what I am trying to say tho!
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