Stories, Statistics, and Memory

Working Paper: CEPR ID: DP17683

Authors: Thomas Graeber; Christopher Roth; Florian Zimmermann

Abstract: For most decisions, we rely on information encountered over the course of days, months or years. We consume this information in various forms, including abstract summaries of multiple data points -- statistics -- and contextualized anecdotes about individual instances -- stories. This paper proposes that we do not always have access to the full wealth of our accumulated information, and that the information type -- story versus statistic -- is a central determinant of selective memory. In controlled experiments we show that the effect of information on beliefs decays rapidly and exhibits a pronounced story-statistic gap: the average impact of stories on beliefs fades by 33% over the course of a day, but by 73% for statistics. Consistent with a model of similarity and interference in memory, prompting contextual associations with statistics improves recall. A series of mechanism experiments highlights that the lower similarity of stories to interfering information is the key driving force behind the story-statistic gap.

Keywords: memory; belief formation; stories; narratives; statistical information

JEL Codes: No JEL codes provided


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Higher crosssimilarity with irrelevant traces (C59)Retrieval failure for statistics (C89)
Stories (Y60)Stronger belief retention (C92)
Statistics (C89)Weaker belief retention (C92)
Contextual associations with statistics (C10)Improved recall (Y50)
Stories (Y60)Higher recall accuracy (C52)
Statistics (C89)Lower recall accuracy (C59)

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