Identifiable Victim Effect
Updated 2026-08-13
INTRODUCTION
English translation pending.
CORE DEFINITION
The identifiable victim effect was documented by Thomas Schelling and developed by Deborah Small, George Loewenstein, and Paul Slovic. Its core proposition is that a concrete, singular victim activates affective response, while statistical victims remain abstract and generate little emotion, so donations and policy attention skew toward individual cases regardless of scale. The key qualification is that the effect describes a bias, not a moral verdict: it does not mean individual cases deserve less, only that the response is driven by vividness rather than by the number of people affected.
SCAFFOLDING EFFECT
Reduce cognitive load
- Use scale check: compare the response to one case against the response to the aggregate. - Use statistic anchor: pair each vivid story with the number it represents. - Use design choice: use a concrete case to motivate action, but set policy on the aggregate.
Anchor fast decisions
Emotion is produced by images and particulars, while numbers are processed abstractly and do not by themselves generate feeling. A single named person supplies an image the mind can hold, so the affective system responds as though to a face-to-face appeal. A statistic of thousands has no such representation, and its size can even reduce response, because large numbers exceed the range in which feeling scales. The bias is therefore a mismatch between how harm is counted and how compassion is generated, not a failure of concern.
MINIMUM ACTION
In progress 0/1Practice this model in one real situation:
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Source support: Explicit
- en.wikipedia.orghttps://en.wikipedia.org/wiki/Identifiable_victim_effectverified
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