Brilliant but Cruel: Perceptions of Negative Evaluators

T. M. Amabile

Article | Journal of Experimental Social Psychology | March 1983

Brilliant but Cruel: Perceptions of Negative Evaluators

Abstract

Using edited excerpts from actual negative and positive book reviews, this research examined the hypothesis that negative evaluators of intellectual products will be perceived as more intelligent than positive evaluators. The results strongly supported the hypothesis. Negative reviewers were perceived as more intelligent, competent, and expert than positive reviewers, even when the content of the positive review was independently judged as being of higher quality and greater forcefulness. At the same time, in accord with previous research, negative reviewers were perceived as significantly less likable than positive reviewers. The results on intelligence ratings are seen as bolstering the self-presentational explanation of the tendency shown by intellectually insecure individuals to be negatively critical. The present methodology is contrasted to that of previous research which obtained apparently contradictory results.

Keywords: Social Psychology; Situation or Environment; Performance Evaluation; Perception; Status and Position; Attitudes; Prejudice and Bias; Power and Influence;

Format: Print

11 pages

Find at Harvard Purchase

Citation:

Amabile, T. M. "Brilliant but Cruel: Perceptions of Negative Evaluators." Journal of Experimental Social Psychology 19 (March 1983): 146–156. (Reprinted in: E. Aronson (Ed.) (1984), Readings about the social animal (3rd. ed.). San Francisco: Freeman.)

BOOK ABSTRACT: The Creativity Reader is a necessary companion for anyone interested in the historical roots of contemporary ideas about creativity, innovation, and imagination. It brings together a prestigious group of international experts who were tasked with choosing, introducing, and commenting on seminal texts focused on creativity, invention, genius, and imagination from the period of 1850 to 1950. This volume is at once retrospective and prospective: it revisits old ideas, assesses their importance today, and explores their potential for the future.
Through its wide historical focus, this Reader challenges the widespread assumption that creativity research is mainly a product of the second half of the twentieth century. Featuring primary sources interpreted through the lenses of leading contemporary scholars, The Creativity Reader testifies to the incredible richness of this field of study, helps us understand its current developments, and anticipates its future directions. The texts included here, many of them little known or forgotten, are part of the living history of creativity studies. Indeed, an examination of these seminal papers helps the new generation of creativity and innovation researchers to be mindful of the past and unafraid to explore it.

We present a framework for analyzing “model persuasion,” where persuaders influence people’s beliefs by proposing models (likelihood functions) that suggest how to organize past data (e.g., on investment performance) to make predictions (e.g., about future returns). Receivers are assumed to find models more compelling when they better explain the past. A key tradeoff persuaders face is that models that better fit the data induce less movement in receivers’ beliefs. Model persuasion sometimes makes the receiver worse off than if he interprets data through the lens of a default model. The receiver is most misled by persuasion when there is a lot of publicly available data that is open to interpretation and exhibits randomness, as this gives the persuader “wiggle room” to highlight false patterns. Even when the receiver is exposed to the true model, the wrong model often wins because it better fits the past. Competition more broadly pushes persuaders towards overfitting available data and as a result tends to neutralize the data by leading receivers to view it as unsurprising. With multiple receivers, a persuader is more effective when receivers share similar priors and default interpretations. We illustrate with examples from finance, politics, and law.

Chapter | Handbook of Behavioral Economics | 2019

Behavioral Economics and Health-Care Markets

Amitabh Chandra, Benjamin Handel and Joshua Schwartzstein

This chapter summarizes research in behavioral health economics, focusing on insurance markets and product markets in health care. We argue that the prevalence of choice difficulties and biases leading to mistakes in these markets establish a special place for them in economic analysis. In addition, we argue that while the behavioral health-economics literature has done a better job documenting consumer-choice mistakes in insurance and treatment choices than explaining why those mistakes occur, it is clear that we should not ignore these mistakes in our analyses. We document evidence showing that consumers leave lots of money on the table in their insurance-plan choices, sometimes thousands of dollars. This is true both when consumers make active choices (e.g., they do not have a default plan) and when they make passive choices (e.g., they have a default plan). We discuss the implications of this body of work for the design and regulation of insurance markets, including the interaction between consumer choice difficulties or biases and adverse selection. We then document evidence on consumer mistakes in health-care utilization and treatment choices, especially in response to changes in prices such as copayments and deductibles. We show how choice difficulties or biases may lead patients to respond to such increases in patient cost-sharing by reducing demand for high-value care, muddying the traditional argument that the price elasticity of demand for medical care meaningfully captures the degree of moral hazard. We conclude with directions for future research.

Keywords: Behavioral economics; Consumer Behavior; Economics; Health Care and Treatment; Insurance; Markets;

Citation:

Chandra, Amitabh, Benjamin Handel, and Joshua Schwartzstein. "Behavioral Economics and Health-Care Markets." In Handbook of Behavioral Economics: Foundations and Applications 2, edited by B. Douglas Bernheim, Stefano DellaVigna, and David Laibson. Amsterdam: Elsevier/North-Holland, 2019. View Details

Cite View Details Read Now

Faculty & Research

Brilliant but Cruel: Perceptions of Negative Evaluators

Abstract

Citation:

About the Author

More from the Author