Unstandard deviation: The untapped value of positive deviance for reducing inequalities
Year: 2020
Type: preprint
Abstract: Behavioral science is increasingly used in public policy to understand and address various manifestations of inequalities. Yet evidence from effective population-level interventions is limited. One framework, known as positive deviance, emphasizes individuals from disadvantaged circumstances who have significantly better outcomes than are typical for their group. Studying their behaviors and outcomes helps to understand what might explain their overall success. It can also help to incorporate those insights in such a way that would facilitate others from these circumstances to experience positive outcomes. Because positive deviance has been markedly understudied, we present a framework for doing so specifically within behavioral science for public policies aimed at reducing inequalities. Using examples from real-world and experimental insights on choices and outcomes of positive deviants, we encourage further study of their choices and trajectories over time to produce valuable insights. We propose that leveraging those findings would inform public policy by introducing interventions that are more ecologically sound and population relevant, and consequently have a better chance at benefiting those who start off under adverse circumstances.
Authors: Kai Ruggeri, Tomas Folke
Institution: Columbia University
Language: English
Subfield: General Decision Sciences
Field: Decision Sciences
Domain: Social Sciences
SDG: Reduced inequalities
Open Access status: gold
OpenAlex ID: W4231615955