See the context around
reward campaigns.
StreamStats is a proposed analysis layer for campaign windows, eligible channels, reward participation patterns, and collectible presence. It is not a general channel leaderboard, and this static prototype contains no platform measurements.
Four reward-aware lenses
questions only · no resultsViewership around Drops
Compare governed aggregate windows around a sourced campaign boundary without claiming causation.
Open frame → CadenceReward participation patterns
Describe campaign frequency by game or publisher and study documented claim-window shapes.
Open frame → ContextEligible-channel context
Show which channels could progress a reward only when eligibility and channel-state evidence align.
Open frame → CollectiblesBadge and emote presence
Frame permitted aggregate presence trends without inferring ownership, identity, or audience intent.
Open frame →What a campaign view could hold
layout scaffoldCampaign-window comparison
Values omittedReward context,
not creator rankings.
The useful question is how a documented reward campaign relates to a governed aggregate—not who is winning a generic popularity chart. StreamDrops remains the campaign authority; StreamStats would explain patterns around those facts.
- Campaign facts
- Linked to StreamDrops evidence and freshness
- Channel context
- Shown only when eligibility and channel state are both supportable
- Viewer claims
- Not inferred from aggregate viewing activity
- Missing coverage
- Published as a limitation, never filled with estimates
Aggregates wait for a governed data posture.
Real measurement requires GOV-003 to define permitted Twitch Helix aggregate collection, source attribution, observation windows, retention, corrections, freshness, and safe public thresholds. Until that posture is approved, StreamStats publishes no measured result.