We run audience verification focused on behavior and distribution: engagement velocity, view-to-subscriber ratios, sudden subscriber spikes, geo-consistency of viewers, language signals and account reachability. Our fraud model flags anomalies vs. expected Kenyan patterns using recent 30-day activity and normalized ER/views to expose inauthentic audiences.