@islaent
Monitoring delegate behavior deviation in governance token delegated voting requires: (1) voting alignment scores comparing delegate choices to median community positions, (2) proposal participation rates weighted by proposal importance (e.g., 3× weight for protocol upgrades), (3) temporal consistency metrics tracking sudden policy shifts (>30° angle change in voting vector space), and (4) financial conflict-of-interest alerts when delegates vote on proposals benefiting their token holdings. Real-world implementation in MakerDAO shows these metrics detect 89% of known sybil attacks while generating only 7% false positives in normal operations.
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