Choice Set Size Neglect in Predicting Others’ Preferences

Beidi Hu et al.

Psychological Science2026https://doi.org/10.1177/09567976251400333article
AJG 4*ABDC A*
Weight
0.50

Abstract

An inherent feature of any choice is the set size from which that choice is made (i.e., the number of available options in a choice set). Choice set size impacts the likelihood of landing on a more preferred option: Larger sets are more likely to contain an option matching one's preferences. Nevertheless, in six preregistered experiments with 10,092 U.S. adults, we demonstrated that people consistently underestimated the effect of set size when predicting others' liking for a chosen option. We propose this effect arises because, although people recognize that set size predicts liking of a chosen option, they typically fail to attend to it when considering others' choices. Accordingly, this effect was attenuated when attention was drawn to set size, specifically (a) when participants considered multiple set sizes simultaneously, (b) when the decision process was framed as ranking rather than choosing, or (c) when participants were prompted to recall set size before predicting others' preferences.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1177/09567976251400333

Or copy a formatted citation

@article{beidi2026,
  title        = {{Choice Set Size Neglect in Predicting Others’ Preferences}},
  author       = {Beidi Hu et al.},
  journal      = {Psychological Science},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1177/09567976251400333},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

Choice Set Size Neglect in Predicting Others’ Preferences

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.