Sock detector - Quarry

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.

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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