viewbot.info models eight independent signals — viewer velocity, audience rigidity, category and game elasticity, engagement coupling, rank targeting, historical deviation, and pattern repetition — and asks one question. Does this audience behave like it belongs to the rest of the ecosystem?
| # | Streamer | Category | setSort('viewers')} style={{ cursor: 'pointer' }}> Viewers {sort === 'viewers' ? '↓' : ''} | setSort('chatters')} style={{ cursor: 'pointer' }}> Chatters {sort === 'chatters' ? '↓' : ''} | setSort('eng')} style={{ cursor: 'pointer' }}> Eng% {sort === 'eng' ? '↓' : ''} | setSort('score')} style={{ cursor: 'pointer' }}> Risk {sort === 'score' ? '↓' : ''} |
|---|---|---|---|---|---|---|
| {String(s.rank).padStart(2, '0')} |
|
{s.cat} | {fmt(s.viewers)} | {fmt(s.chatters)} | {s.eng}% |
Live channels with active-chatter engagement below 10% on at least 100 concurrent viewers — or an inorganic-traffic score under 50. Sampled every 30 seconds across Twitch, Kick, and Rumble.
One ratio is not a case. Eight independent signals modeled together, weighted by historical labels and reviewer feedback, are. Each score is 0–100. Below 35 fails. Above 65 clears. The middle band gets a second pass.
Real viewer counts are noisy. They drift, dip, and respond. A botted channel often shows something different — a hard guaranteed minimum that snaps back across every stream regardless of game, time, length, or category health. It looks like a guarantee, because it is one.
Across fourteen comparable streams, a healthy channel will move 40–70% in concurrent viewers depending on game, hour, category traffic, and content. Even strong creators with loyal cores fluctuate — their main game beats Just Chatting beats a sponsored title beats a 3am test stream. The audience doesn't follow them equally everywhere.
Same band. Every stream. Across five different games and a peak-vs-3am gap that should have eaten 80% of the audience. CCV returns to ~5,000 within four minutes of going live, holds within a 170-viewer band, and collapses to zero the moment the stream ends. There is no human audience that behaves like this.
The most defensible test we run. We change everything around the channel — game, hour, category health, event load, schedule — and watch the audience react. Real channels move with their context. Detached channels behave like the rest of the ecosystem isn't even there.
Same time slot, same category, same language. We line a channel up against four similar creators and the total category traffic. When the tide rolls in, peers respond. When the tide goes out, peers respond. A real audience can't help reacting to its own world. A bought one usually doesn't bother.
An ongoing public investigation into view botting, chat botting, and synthetic engagement across the major streaming platforms. Every name below has been audited against the eight-score model. Click any to open the full dossier with evidence.