Suspicion Score Adjustment

Suspicion Score Adjustment

Suspicion Score Adjustment is a mechanism to reduce the influence of potentially colluding or sybil voters without requiring hard bans. It uses behavior and connection patterns to assign each voter a Suspicion Score SS∈[0,1]SS \in [0, 1]SS∈[0,1], where:

• SS=0: Fully trusted voter

• SS=1: Fully suspicious voter

Their vote weight is then scaled accordingly.

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Formula

The suspicion score is calculated as:

$$SS(v)=α 1 ​ ⋅O(v)+α 2 ​ ⋅S(v)+α 3 ​ ⋅R(v)$$

Where:

• O(v): Overlap — how often a voter appears in tightly connected voting clusters

• S(v): Suspicious neighbors — average score of voters they are clustered with

• R(v): Risky votes — how often they support suspicious proposals

Weights α1,α2,α3∈[0,1] sum to 1 and control how much each factor contributes.

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Vote Weight Adjustment

Each voter’s effective vote is reduced by:

$$W(v)=1−SS(v)$$

Or, optionally:

$$W(v)=e −β⋅SS(v)$$

This adjustment is applied before quadratic funding calculations, ensuring that suspicious votes have lower influence.

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Decay and Recovery

Suspicion scores naturally decay over time (e.g., each round):

$$SS new ​ (v)=γ⋅SS(v)$$

Allowing honest behavior to restore full voting power over time.

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Why It Matters

• Discourages sybil attacks and vote manipulation

• Preserves voter privacy and inclusion

• Aligns with our principle of gradual trust, not binary judgments