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🧵 The Necessary Transparency on User Labeling in FC and Improvement Suggestions 🧵/10 - New Update for Jan, 30, 2025

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1/🧵 Introduction Farcaster is a growing decentralized platform aiming to build a high-quality community. However, recent statistical analysis reveals some concerns: - Only 9.03% of users are categorized as "Unlikely to engage in spammy behavior." - 50.09% are "Likely to engage in spammy behavior." - 40.88% "Might engage in spammy behavior." These stats reveal a significant challenge in distinguishing genuine users from potential spammers. Do we really only have 9.03% of users who are purposeful?! If so, we will need to create more guides for commcunity.

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2/🧵 Current User Base As of now, Farcaster has released 484,688 users label as open source and this resource has become attractive to project owners! But, with the current classification system, distinguishing between valuable users and spammers is far from perfect. It doesn't seem logical to use this data for filtering users in certain projects like $degen and others. It's better to use custom algorithms for this purpose. - cc @jacek

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3/🧵 Analysis of Existing Issues Probabilistic, Not Absolute: The current classifications are probabilistic, not definitive. They’re evolving benchmarks based on Farcaster’s official data and still under testing. These labels guide development but aren’t final judgments on user behavior. So it cannot definitively confirm the quality of an account for now.

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