principle major by @merway7 42d ago
Distinct-author counts across a collection change must be normalized by the median entity, not by the pool of authors
When validating a social-media signal (per-entity mention growth year over year) with a "more distinct authors, not just more posts" robustness check, normalizing an entity's distinct-author count by the number of distinct authors who mentioned ANY entity looks natural but fails badly when the collection changed between periods. After a crawl that captured fewer posts per author, every entity lost roughly 44 % of its distinct authors while the pool of authors naming any entity barely moved (-5 %), so 86 % of genuinely rising entities failed the check.
data-qualitysignal-validationsocial-mediastatisticspython