Metrics
What do you want to understand about your study?
Fluorgan public metrics are organized by decision question. They separate prediction, observation, evidence, and missing data so study does not become decorative numbers.
Core questions
Start from the real doubt: would I remember now, am I available, how much work is coming, do my cards help, does my answer represent real recall, or has this content consolidated?
Local filter
The hub control only filters public cards by predefined themes. It collects no data, saves no choice, and sends no selected value to analytics.
Other signals
Lapses, difficulty, response distribution, evidence, and forecast add context to the main metrics when enough real data exists.
Other signals you will find in Fluorgan
These signals add context to the main metrics when the underlying data is available; each answers a narrower question about your study.
Lapse / confirmed forgettingFailure or successful recall within a valid first review attempt.
Difficulty / hardHigh effort is not failure; it separates fragility from firm success.
Response distributionSplits qualified responses without hiding an empty set.
ConfidenceSample and precision change the weight of a percentage.
Short/expanded forecastOperational projection; future is not observation.