Issue signals
Posts containing each keyword-derived research category. These are signals for review, not incident counts.
Category mentions
Total matched source records across posts, comments and replies.
Common threads across the full corpus
Categories that appear together in the same source post/thread. This deterministic view covers all 250 included posts and is useful for identifying concerns that tend to travel together.
Concern combinations
Discussion density
Average matched records per post containing each category. Higher values indicate deeper discussion, not greater severity.
Semantic lived-experience analysis
AI-generated analytical annotations referencing preserved evidence. Counts describe classifications of reported experiences, not verified incidents. This layer is versioned and can be reviewed or regenerated without changing source evidence.
Experience types
Reported impacts
Recurrence
Semantic categories
Family responses / workarounds
Common concern combinations
Impact patterns by experience type
Reviewed community reports
Sanitized analytical summaries of community-reported experiences linked to preserved private evidence. These reports describe what participants reported; they do not independently verify the underlying event.