{"title":"Inside Ockham's razor: A mechanism driving preferences for simpler explanations.","authors":"Thalia H Vrantsidis, Tania Lombrozo","doi":"10.3758/s13421-024-01604-w","DOIUrl":null,"url":null,"abstract":"<p><p>People often prefer simpler explanations, defined as those that posit the presence of fewer causes (e.g., positing the presence of a single cause, Cause A, rather than two causes, Causes B and C, to explain observed effects). Here, we test one hypothesis about the mechanisms underlying this preference: that people tend to reason as if they are using \"agnostic\" explanations, which remain neutral about the presence/absence of additional causes (e.g., comparing \"A\" vs. \"B and C,\" while remaining neutral about the status of B and C when considering \"A,\" or of A when considering \"B and C\"), even in cases where \"atheist\" explanations, which specify the absence of additional causes (e.g., \"A and not B or C\" vs. \"B and C and not A\"), are more appropriate. Three studies with US-based samples (total N = 982) tested this idea by using scenarios for which agnostic and atheist strategies produce diverging simplicity/complexity preferences, and asking participants to compare explanations provided in atheist form. Results suggest that people tend to ignore absent causes, thus overgeneralizing agnostic strategies, which can produce preferences for simpler explanations even when the complex explanation is objectively more probable. However, these unwarranted preferences were reduced by manipulations that encouraged participants to consider absent causes: making absences necessary to produce the effects (Study 2), or describing absences as causes that produce alternative effects (Study 3). These results shed light on the mechanisms driving preferences for simpler explanations, and on when these mechanisms are likely to lead people astray.</p>","PeriodicalId":2,"journal":{"name":"ACS Applied Bio Materials","volume":null,"pages":null},"PeriodicalIF":4.6000,"publicationDate":"2024-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Applied Bio Materials","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.3758/s13421-024-01604-w","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, BIOMATERIALS","Score":null,"Total":0}
引用次数: 0
Abstract
People often prefer simpler explanations, defined as those that posit the presence of fewer causes (e.g., positing the presence of a single cause, Cause A, rather than two causes, Causes B and C, to explain observed effects). Here, we test one hypothesis about the mechanisms underlying this preference: that people tend to reason as if they are using "agnostic" explanations, which remain neutral about the presence/absence of additional causes (e.g., comparing "A" vs. "B and C," while remaining neutral about the status of B and C when considering "A," or of A when considering "B and C"), even in cases where "atheist" explanations, which specify the absence of additional causes (e.g., "A and not B or C" vs. "B and C and not A"), are more appropriate. Three studies with US-based samples (total N = 982) tested this idea by using scenarios for which agnostic and atheist strategies produce diverging simplicity/complexity preferences, and asking participants to compare explanations provided in atheist form. Results suggest that people tend to ignore absent causes, thus overgeneralizing agnostic strategies, which can produce preferences for simpler explanations even when the complex explanation is objectively more probable. However, these unwarranted preferences were reduced by manipulations that encouraged participants to consider absent causes: making absences necessary to produce the effects (Study 2), or describing absences as causes that produce alternative effects (Study 3). These results shed light on the mechanisms driving preferences for simpler explanations, and on when these mechanisms are likely to lead people astray.
人们通常更喜欢简单的解释,即假设存在较少原因的解释(例如,假设存在单一原因 A,而不是两个原因 B 和 C,来解释观察到的效果)。在此,我们将验证有关这种偏好机制的一个假设:人们倾向于使用 "不可知论 "解释来进行推理,这种解释对额外原因的存在/不存在保持中立(例如,比较 "A "和 "C")、比较 "A "与 "B 和 C",同时在考虑 "A "时对 B 和 C 的地位保持中立,或在考虑 "B 和 C "时对 A 的地位保持中立),甚至在 "无神论 "解释更合适的情况下也是如此,"无神论 "解释明确指出没有其他原因(例如,"A 而不是 B 或 C "与 "B 和 C 而不是 A")。三项以美国为样本的研究(总人数 = 982)通过使用不可知论和无神论策略产生不同的简单性/复杂性偏好的情景,并要求参与者比较以无神论形式提供的解释,对这一观点进行了检验。结果表明,人们倾向于忽略不存在的原因,从而过度概括不可知论策略,即使复杂的解释客观上更有可能,人们也会产生对简单解释的偏好。然而,通过鼓励参与者考虑缺失原因的操作,这些不必要的偏好得到了缓解:将缺失作为产生效果的必要条件(研究 2),或将缺失描述为产生替代效果的原因(研究 3)。这些结果揭示了偏好更简单解释的驱动机制,以及这些机制何时可能将人们引入歧途。