Learning too much from too little: False face stereotypes emerge from a few exemplars and persist via insufficient sampling

Abstract excerpt

<p>Social stereotypes are prevalent and consequential, yet sometimes inaccurate. How do people learn these inaccurate beliefs in the first place and why do these beliefs persist in the face of counter evidence? Building on past research on cognitive limitations and environmental sample biases, we propose an integrative perspective: Insufficient statistical learning (Insta-learn). Instalearn posits that humans are...

Topics

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• Learning
• Phenotype
• Sample Size
• Social Perception

Identifiers and source

Literature Corpus work

1c5b8a0b-6d48-5585-8c0c-fb626b775dc8

DOI

10.31234/osf.io/te3s4