# 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.

***

### 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.

***

### 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.

***

### 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.

***

### Why It Matters

* Discourages sybil attacks and vote manipulation
* Preserves voter privacy and inclusion
* Aligns with our principle of **gradual trust**, not binary judgments
