Dividing your RAG score by retrieval recall overstates your generation quality, and here is by how much
RAG scores are overstated due to recall bias, prompting more accurate evaluation methods.
Steady31
signal score
as of 1d ago
🔗 2
sources · rag
⏳ Too early
trajectory — needs a few more snapshots
Why this scored 31
every term, weightedEngagement gained per hour since the last capture, against the fastest item on its own source
Whether that velocity is itself speeding up, as a per-hour rate
How many independent communities are talking about the same entity
Decays to zero over 14 days
Subtracted once something is big and old — we rank what's next, not what's peaked
Weights are hand-tuned, not learned — we're calibrating them against realized trends as history accumulates. On a topic's first sighting there's no previous reading to compare against, so acceleration starts from a neutral prior rather than a measurement, and velocity falls back to engagement over its whole lifetime until a second reading exists. Full methodology
Signal history
7-day window (free)Entities
Embed a live signal badge
[](https://www.signalcrest.app/topic/dev%3A4488184)
Drop this in a README or blog post — it updates automatically as the score moves.