{"pk":26536,"title":"The distorting effect of deciding to stop sampling","subtitle":null,"abstract":"usually collect information to serve specific goals andoften end up with samples that are unrepresentative of the un-derlying population. This can introduce biases on later judg-ments that generalize from these samples. Here we show thatgoals influence not only what information we collect, but alsowhen we decide to terminate search. Using an optimal stop-ping analysis, we demonstrate that even when learners have nocontrol over the content of a sample (i.e., natural sampling),the simple decision of when to stop sampling can yield sampledistributions that are non-representative and could potentiallybias future decision making. We test the prediction of thesetheoretical analyses with two behavioral experiments","language":"eng","license":{"name":"","short_name":"","text":null,"url":""},"keywords":[{"word":"information search; stopping rules; sampling;decision-making"}],"section":"Papers","is_remote":true,"remote_url":"https://escholarship.org/uc/item/1255g3gs","frozenauthors":[{"first_name":"Anna","middle_name":"","last_name":"Coenen","name_suffix":"","institution":"New York University","department":""},{"first_name":"Todd","middle_name":"","last_name":"Gureckis","name_suffix":"","institution":"New York University","department":""}],"date_submitted":null,"date_accepted":null,"date_published":"2016-01-01T18:00:00Z","render_galley":null,"galleys":[{"label":"PDF","type":"pdf","path":"https://journalpub.escholarship.org/cognitivesciencesociety/article/26536/galley/16172/download/"}]}