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The Influence of Episodic Information on Political Elites: Evidence from Chile.

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Title: The Influence of Episodic Information on Political Elites: Evidence from Chile.
Authors: Cruz, Daniel (AUTHOR)
Source: Political Behavior. Mar2026, Vol. 48 Issue 1, p381-410. 30p.
Subjects: Political elites, Cognitive bias, Questionnaires, Chileans, Statistics, Decision making in political science, Narration
Geographic Terms: Chile
Abstract: Are politicians more influenced by anecdotal information than statistical data? While extensive research has explored the implications of this question for the general public, studies examining the role of anecdotes or exemplars among politicians are lacking. If politicians are disproportionately influenced by information derived from personal experiences (episodic information), their agendas, priorities, and perceptions may become biased. Through a series of preregistered survey experiments conducted among elected officials in Chile, this study examines the extent to which politicians are more sensitive to episodic information over statistical information. The findings suggest that politicians consistently ignore statistical information while relying more on episodic information, measured as the effect of each type of information on both their assessment of policies and how much they remember about experiences in a public service. Furthermore, the study reveals that the effect size and magnitude are comparable to those observed among the general population. These findings shed light on politicians' use of this cognitive shortcut, and raises the need for further research on this topic. [ABSTRACT FROM AUTHOR]
Copyright of Political Behavior is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Are politicians more influenced by anecdotal information than statistical data? While extensive research has explored the implications of this question for the general public, studies examining the role of anecdotes or exemplars among politicians are lacking. If politicians are disproportionately influenced by information derived from personal experiences (episodic information), their agendas, priorities, and perceptions may become biased. Through a series of preregistered survey experiments conducted among elected officials in Chile, this study examines the extent to which politicians are more sensitive to episodic information over statistical information. The findings suggest that politicians consistently ignore statistical information while relying more on episodic information, measured as the effect of each type of information on both their assessment of policies and how much they remember about experiences in a public service. Furthermore, the study reveals that the effect size and magnitude are comparable to those observed among the general population. These findings shed light on politicians' use of this cognitive shortcut, and raises the need for further research on this topic. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Political Behavior is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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              Text: Mar2026
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