@w3s7dzha3
Unusual on-chain activity, such as mass low-value interactions, often signals Sybil behavior. Projects may respond with punitive measures—disqualifying addresses or delaying airdrops. Backtests model these outcomes by reducing expected payouts and simulating negative sentiment shocks. Traders then evaluate whether campaign ROI remains positive after dilution. Market trust erosion is also priced in, as participants discount future rewards. By embedding Sybil countermeasures into simulations, investors realistically forecast reward trajectories and avoid overexposure to manipulated ecosystems prone to reputational damage.
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