EEAT Mechanics

IP-Prior / Squashing / voterToken

BLeak, verbatim

This system protects the integrity of click data.

By Thomas Wawra·Last reviewed
Role
Behavior
Axis
Usage (Search)
Scope
Site
Calibrated against
Pattern
Experience· noneExpertise· noneAuthority· noneTrust· indirect

01What it measures

This system protects the integrity of click data. It detects when click patterns look unnatural — for example when many clicks come from the same IP addresses or are artificially directed at a page. Such suspicious clicks are filtered out ('damped') before they can influence ranking.

02Derived from

IP-address-based trust priors and a 'ballot' system (voterToken) that identifies individual click units to prevent double-counting.

03How it's measured

unscaledIpPriorBadFraction = share of suspicious clicks per IP range before scaling (manipulation damping); voterToken = a unit that identifies a click 'ballot' to make repeat voting harder. [B fields, C mechanics]

04Why it counts here

Only Trust (indirect): the system makes no statements about content, it protects the reliability of measurement data. It is the quality guardian for all behavioral signals.

05What to do about it

No direct action needed here. Important to know: clickbait campaigns or purchased click packages remain ineffective — they are filtered out before touching the ranking. Genuine user satisfaction is the only sustainable strategy.

Answer modules will appear here (coming soon)