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This query is marked as a draft
This query has been published
by
Certes
.
Looks for Kung HIbbe socks. Expect about a 50% hit rate and 50% false positive rate. Many accounts listed below will be good-faith, constructive editors.
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SQL
SELECT actor_name, COUNT(rev_page) AS numtot, COUNT(DISTINCT rev_page) AS numdiff, user_editcount, user_registration FROM revision JOIN actor ON actor_id=rev_actor JOIN `user` ON user_id=actor_user AND user_registration > '2022' AND user_editcount < 10000 WHERE rev_timestamp>'2023' AND rev_page in (5042916, 9209651, 5843419, 13652, 29265) /*'Canada','France','Serbia','Hindi','Communism'*/ GROUP BY actor_name HAVING numdiff > 1
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