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Human beings are competitive. We want to know who is the strongest, who is the richest, and who is the cleverest of all. Some situations, like ranking people based on height, can be ranked in objective ways. However, many "Top Ten" lists are based on subjective categorization and give only the illusion of objectivity. In fact, we don't always want to be seen objectively since we don't mind having a better image or rank than deserved. Ranking: The Unwritten Rules of the Social Game We All Play applies scientific theories to everyday experience by raising and answering questions like: Are college ranking lists objective? How do we rank and rate countries based on their fragility, level of corruption, or even happiness? How do we find the most relevant web pages? How are employees ranked? This book is for people who have a neighbor with a fancier car; employees, who are being ranked by their supervisors; managers, who are involved in ranking but may have qualms about the process; businesspeople interested in creating better visibility for their companies; scientists, writers, artists, and other competitors who would like to see themselves at the top of a success list; or college students who are just preparing to enter a new phase of social competition. Readers will engage in an intellectual adventure to better understand the difficulties of navigating between objectivity and subjectivity and to better identify and modify their place in real and virtual communities by combining human and computational intelligence.Translation editions available in German, Korean, Japanese, Complex Chinese, and Simplified Chinese.
This book investigates the underlying mechanisms of how human beings create, maintain, and manipulate ranking systems in both social and professional environments. Péter Érdi, a complex systems scientist, utilizes a multidisciplinary framework that bridges computational algorithms and human behavioral psychology. He argues that while we often seek objective metrics for success, our social structures are frequently governed by subjective biases and the desire for perceived status.
What You Will Find
Scope Limits
Experts note that the book successfully synthesizes complex mathematical concepts with accessible sociological observations. Readers frequently highlight the text as a useful primer for understanding the hidden biases inherent in modern data-driven decision-making processes.
Page Count:
258
Publication Date:
2019-01-01
Publisher:
Oxford University Press
ISBN-10:
0190935480
ISBN-13:
9780190935481
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