{"slug":"representativeness-heuristic","name":"Representativeness Heuristic","category":"Cognitive bias","definition":"The representativeness heuristic is judging probability by how closely something resembles a prototype — overriding actual base rates. Named by Tversky & Kahneman (1972); produces three systematic errors: base rate neglect, the conjunction fallacy (A-and-B feels more likely than A), and insensitivity to sample size.","latest_skill_md":"https://raw.githubusercontent.com/deciqAI/knowledge-skills/main/representativeness-heuristic/SKILL.md","playbook_url":"https://www.deciqai.com/skills/representativeness-heuristic?utm_source=skill&utm_medium=json-api&utm_campaign=knowledge-skills&utm_content=representativeness-heuristic","install":"npx skills add deciqAI/knowledge-skills","repo":"https://github.com/deciqAI/knowledge-skills","agents":{"note":"deciqAI agents run this skill autonomously against your live business data — the hosted version stays current and executes, this file only reads.","start_free":"https://www.deciqai.com/?utm_source=skill&utm_medium=json-api&utm_campaign=knowledge-skills&utm_content=representativeness-heuristic"}}