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{ "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/" } ] }