Historical and experimental evidence that inherent properties are overweighted in early scientific explanation

历史和实验证据表明,早期科学解释过分强调了固有属性。

阅读:3

Abstract

Scientific explanation is one of the most sophisticated forms of human reasoning. Nevertheless, here we hypothesize that scientific explanation is susceptible to some of the same biases that influence everyday thinking-particularly during the initial stages of theory building, when scientists are first grappling with complex phenomena and are thus more likely to rely on explanatory "guesses." Specifically, we investigated whether scientific explanation exhibits an inherence bias-a tendency to explain phenomena through inherent or intrinsic features rather than extrinsic factors such as context or relations. Consistent with this hypothesis, a comprehensive analysis of major explanatory transitions across the history of Western science revealed that initial scientific explanations systematically favored inherent properties, while subsequent explanations incorporated extrinsic factors more consistently. Seven experiments with lay participants (both adults and children; N [Formula: see text] 1,673) and two experiments with practicing scientists from top departments worldwide (N [Formula: see text] 275) provided converging evidence for this bias and identified the psychological mechanisms involved. When explaining unfamiliar phenomena, even leading scientists showed a robust tendency to overweight inherent properties and underweight extrinsic factors relative to established scientific understanding. This bias appears rooted in basic cognitive constraints on attention and memory that excessively narrow the space of hypotheses initially considered. These findings advance our understanding of both the psychology of explanation and the development of scientific knowledge, while suggesting specific ways to improve scientific training and education.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。