Everyone Says...

How We Mistake Confidence for Consensus
Erscheinungsjahr 2026
ISBN: 978-3-032-32897-7
Verlag: Springer Nature Switzerland AG

Buch, Englisch, 103 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 381 g

Reihe: Copernicus Books

explores how familiar phrases such as “everyone knows,” “most people think,” “everyone feels this way,” and “everyone I know” quietly shape decisions, influence perception, and close conversations before important questions have been asked.

Drawing on the habits of statistical thinking—attention to uncertainty, variation, scale, and comparison—the book shows how confidence can be mistaken for agreement and how repetition can begin to sound like evidence. Rather than teaching statistics or presenting formal models, it offers readers a different way of listening: one that asks simple but powerful questions such as How many? Compared to what? Who is included?

Each chapter begins with a familiar phrase and places it in a real-world setting, including universities, youth sports, healthcare, organizations, media environments, elections, and everyday conversations. Through short, story-driven chapters, the book reveals why these statements feel persuasive, how they gain authority, and what can be lost when assumed consensus takes the place of careful thinking.

At its heart, Everyone Says... is an invitation to slow down, look more closely, and recognize the difference between confidence and consensus before decisions become settled too quickly.

Zielgruppe

Popular/general

Autoren/Hrsg.

Wilson, Jeffrey R.

Chen, Chiu-I (Aki)

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Allgemeines Geschichte der Naturwissenschaften, Formalen Wissenschaften & Technik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Maschinelles Lernen

Inhaltsverzeichnis

Chapter 1 Everyone Says You’re Controlling.- Chapter 2 Everyone Feels This Way.- Chapter 3 Everyone’s Tired of Hearing About This.- Chapter 4 Everyone Thinks.- Chapter 5 Everyone Knows.- Chapter 6 You Can’t Go Wrong.- Chapter 7 Tuition Pays Faculty Raises.- Chapter 8 Everyone Works Better Under Pressure.- Chapter 9 Everyone Is Talking About It.- Chapter 10 Everyone I Know Is Voting for.- Chapter 11 What Do We Mean by “Most”?.- Chapter 12 When “Everyone” Means Two.- Chapter 13 Widespread Concern.- Chapter 14 Everyone Is Outraged.- Chapter 15 Everyone Deserves.- Chapter 16 Studies Show.- Chapter 17 The Experts Agree.- Chapter 18 If Everyone Were Right, No One Would Be Sitting.

Über Autor(innen)

Jeffrey R. Wilson is a Fellow of the American Statistical Association and Professor of Statistics and Biostatistics at Arizona State University, where he serves as Associate Dean for Research and Associate Dean of Inclusive Excellence. An award-winning educator, researcher, consultant, and author, he has published more than 100 scholarly articles and several books spanning statistics, data science, business, and health research. His work has been supported by the National Institutes of Health (NIH), National Science Foundation (NSF), and U.S. Department of Agriculture (USDA). Throughout his career, Dr. Wilson has been passionate about helping people think more critically, ask better questions, and make informed decisions based on evidence rather than assumption. In Everyone Says..., he brings the principles of statistical thinking to everyday language, showing readers how a few simple questions can lead to clearer thinking and better conversations.

Chiu-I (Aki) Chen  is an educator, translator, interpreter, and international communications professional with more than 30 years of experience working across Taiwan, Japan, Hong Kong, Singapore, China, and the United States. Fluent in Mandarin, Japanese, and English, she has built a career helping people navigate cultural, linguistic, and organizational differences. A graduate of the University of Chicago Booth School of Business and Arizona State University, Aki has worked in education, hospitality, corporate strategy, marketing, and international relations. Her lifelong fascination with how people interact, interpret meaning, and form shared assumptions inspired her contribution to , where she brings a unique cross-cultural perspective to the ways language shapes understanding and decision-making.