Here are 73 books that Calling Bullshit fans have personally recommended if you like
Calling Bullshit.
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I’m an emeritus professor of psychology (University of Washington) who has long been intrigued by the mistakes that people have made throughout history. I’ve long been struck by Oppenheimer’s observation, immediately after the Trinity explosion, that “I am become Death, the destroyer of worlds.” This led me to look into the wide array of mistakes, from the mythic, literary, athletic, business, political, medical, and military. In writing OOPS!, I let myself go in a way that I’ve never before, writing with a critical and wise-ass style that isn’t strictly academic, but is factually accurate and, frankly, was a lot of fun!
Two renowned social psychologists show how people—some famous and some not—avoid taking responsibility for their blunders.
By the book''s end, we see how we avoid admitting our missteps, and aware of how much our own (and everyone's) lives would improve if we could simply say, ''I made a mistake. I'm sorry.”
Renowned social psychologists Carol Tavris and Elliot Aronson take a compelling look into how the brain is wired for self-justification. This updated edition concludes with an extended discussion of how we can live with dissonance, learn from it, and perhaps, eventually, forgive ourselves.
Why is it so hard to say “I made a mistake”—and really believe it?
When we make mistakes, cling to outdated attitudes, or mistreat other people, we must calm the cognitive dissonance that jars our feelings of self-worth. And so, unconsciously, we create fictions that absolve us of responsibility, restoring our belief that we are smart, moral,…
It is April 1st, 2038. Day 60 of China's blockade of the rebel island of Taiwan.
The US government has agreed to provide Taiwan with a weapons system so advanced that it can disrupt the balance of power in the region. But what pilot would be crazy enough to run…
As a wannabe rockstar studying philosophy and mathematics, never in my wildest nightmare did I imagine I would one day earn a living traveling the world, helping corporate managers become better bosses. But in unexpected ways, all the different strands of my interests and passions have woven together into a work-life well lived, with over two decades of experience and contemplation distilled down into this book I have co-written with my friend and business partner, Bjorn Billhardt, CEO of Abilitie.
There are so many golden calves in the world of management and leadership theory, and this book knocks nine of them down politely but mercilessly.
My favorite chapter: “The Delusion of Rigorous Research,” coming from a business school professor who knows first-hand what he’s talking about. I’m encumbered by philosophical training, and in the business world, I constantly find myself asking, “Yes, but what does that word actually mean?” or “What kind of evidence could support that claim, and is that evidence you could actually collect?”
More and more content about how to succeed in business and management gets produced by humans, and increasingly by AI. In that context, I’m grateful for books like this one that focus more on “how” than on “what” to think.
Why do some companies prosper while others fail? Despite great amounts of research, many of the studies that claim to pin down the secret of success are based in pseudoscience. The Halo Effect is the outcome of that pseudoscience, a myth that Philip Rosenzweig masterfully debunks in THE HALO EFFECT. The Halo Effect describes the tendency of experts to point to the high financial performance of a successful company and then spread its golden glow to all of the company's attributes - clear strategy, strong values, and brilliant leadership. But in fact, as Rosenzweig clearly illustrates, the experts are not…
Michael Patrick Lynch is Board of Trustees Distinguished Professor of Philosophy and Provost Professor of the Humanities at the University of Connecticut. His books have been translated into a dozen languages and include On Truth in Politics: Why Democracy Demands It, The Internet of Us, True to Life (Editor’s Choice, The New York Times Sunday Book Review), and Know-it-All Society (winner of the 2019 George Orwell Award). Lynch’s work has been profiled in The New Yorker, The New York Times, Nature, The Guardian, The Washington Post, and many other publications worldwide; his 2017 TED talk has been viewed nearly 2 million times. He lives in CT with his family and one very philosophical dog.
Nichols doesn’t just critique anti-intellectualism—he lays bare the cultural shift that made it acceptable to dismiss expertise altogether. What resonated with me is his central claim: that the erosion of trust in specialists is not merely ignorance, but a form of civic arrogance, reinforced by misinformation and a collapsing public discourse.
I don’t agree with all of his diagnoses—particularly when it comes to the role of the academy—but I share his concern that the rejection of expertise isn’t just bad for science or public health. It’s corrosive to democracy itself. This book made me reflect on how we, as citizens, must rebuild the norms of epistemic humility and shared knowledge that democratic life depends on.
People are now exposed to more information than ever before, provided both by technology and by increasing access to every level education. These societal gains, however, have also helped fuel a surge in narcissistic and misguided intellectual egalitarianism that has crippled informed debates on any number of issues. Today, everyone knows everything; with only a quick trip through WebMD or Wikipedia, average citizens believe themselves to be on an equal intellectual footing with doctors and diplomats. All voices, even the most ridiculous, demand to be taken with equal seriousness, and any claim to the contrary is dismissed as undemocratic elitism.…
A Duke with rigid opinions, a Lady whose beliefs conflict with his, a long disputed parcel of land, a conniving neighbour, a desperate collaboration, a failure of trust, a love found despite it all.
Alexander Cavendish, Duke of Ravensworth, returned from war to find that his father and brother had…
I’ve been interested in philosophy ever since I heard the album Poitier Meets Plato, a product of the 60’s coffee house culture, in which Sidney Poitier reads Plato to jazz music. As a professional philosopher, I investigate the nature of knowledge and reality, and if paranormal claims turn out to be true, many of our beliefs about knowledge and reality may turn out to be false. In an attempt to distinguish the justified from the unjustified—the believable from the unbelievable—I’ve tried to identify the principles of good thinking and sound reasoning that can be used to help us make those distinctions.
I learned from Gilovich the psychological mechanisms that drive us to believe things that aren’t true. We are pattern-recognizing machines, he tells us, designed to make sense of the data we perceive. But when that data is incomplete, ambiguous, or inconsistent, the mechanisms that normally yield correct inferences can lead us astray.
Thomas Gilovich offers a wise and readable guide to the fallacy of the obvious in everyday life.
When can we trust what we believe-that "teams and players have winning streaks," that "flattery works," or that "the more people who agree, the more likely they are to be right"-and when are such beliefs suspect? Thomas Gilovich offers a guide to the fallacy of the obvious in everyday life. Illustrating his points with examples, and supporting them with the latest research findings, he documents the cognitive, social, and motivational processes that distort our thoughts, beliefs, judgments and decisions. In a rapidly changing…
I am the Fletcher Jones Professor of Economics at Pomona College. I started out as a macroeconomist but, early on, discovered stats and stocks—which have long been fertile fields for data torturing and data mining. My book, Standard Deviations: Flawed Assumptions, Tortured Data, and Other Ways to Lie with Statistics is a compilation of a variety of dubious and misleading statistical practices. More recently, I have written several books on AI, which has a long history of overpromising and underdelivering because it is essentially data mining on steroids. No matter how loudly statisticians shout correlation is not causation, some will not hear.
Ritchie was part of a team that attempted to replicate a famous study led by a prominent psychologist, Daryl Bem, claiming that people did better on a word memorization test if they studied the words after taking the test.
Ritchie and his co-authors attempted to replicate this study and found no evidence supporting Bem’s claim. This is but one example of a scientific crisis in that attempts to replicate influential studies published in top peer-reviewed journals fail nearly half the time. Ritchie explains and illustrates the reasons for the current replication crisis in science.
An insider’s view of science reveals why many scientific results cannot be relied upon – and how the system can be reformed.
Science is how we understand the world. Yet failures in peer review and mistakes in statistics have rendered a shocking number of scientific studies useless – or, worse, badly misleading. Such errors have distorted our knowledge in fields as wide-ranging as medicine, physics, nutrition, education, genetics, economics, and the search for extraterrestrial life. As Science Fictions makes clear, the current system of research funding and publication not only fails to safeguard us from blunders but actively encourages bad…
I’ve spent my career building products, scaling companies, and leading teams through the highs and lows of entrepreneurship. I know firsthand how challenging it is to take an idea and turn it into something real—whether that’s a product, a company, or a movement. The books on this list have shaped my approach to leadership, innovation, and resilience. They’ve helped me navigate tough decisions, build stronger teams, and think bigger. I’m passionate about sharing these insights because I believe great builders aren’t just born—they’re made. If you’re looking to create something meaningful, these books will push you, challenge you, and inspire you to build something great.
I don’t know a single great leader who hasn’t read this book. Andy Grove made me rethink what it means to be an effective manager. Before reading it, I thought leadership was about vision and execution—but this book drilled home that structure, process, and discipline are just as critical. His take on 1:1 meetings as a tool for coaching, not just updates, changed how I mentor.
This book is pure gold for scaling yourself as a leader. If you’re managing people and want to be more effective, this is one of the best books you’ll ever read.
The president of Silicon Valley's Intel Corporation sets forth the three basic ideas of his management philosophy and details numerous specific techniques to increase productivity in the manager's work and that of his colleagues and subordinates
The Duke's Christmas Redemption
by
Arietta Richmond,
A Duke who has rejected love, a Lady who dreams of a love match, an arranged marriage, a house full of secrets, a most unneighborly neighbor, a plot to destroy reputations, an unexpected love that redeems it all.
Lady Charlotte Wyndham, given in an arranged marriage to a man she…
I am a chemist (PhD University of Leuven, Belgium). This explains my preference for a rational approach. I was also an assessor for the European EFQM organization. This European Management Model allows an organization or company to achieve excellent results for all its stakeholders. One of the methods used is the Best Practice method. Finally, at the end of my career, I asked myself the question: How do we know that our country is well managed? There is no management model for this yet. That is why I developed a new model: the SAC model. Together with my colleague Grace L. Duffy, we have described this model in several papers.
This book is for me a standard work in the field of evidence-based management. It opened my eyes to the great (negative) impact slogans, insufficient learning from one's own mistakes, blindly following advice from gurus, etc., can have on the results of a company
I discovered that mistakes are also made in the medical world, and insufficient lessons are learned from them because the principles of evidence-based management are not followed.
You can apply the ideas of the authors in any company or organization, regardless of the sector
The best organizations have the best talent...Financial incentives drive company performance...Firms must change or die. Popular axioms like these drive business decisions every day. Yet too much common management "wisdom" isn't wise at all--but, instead, flawed knowledge based on "best practices" that are actually poor, incomplete, or outright obsolete. Worse, legions of managers use this dubious knowledge to make decisions that are hazardous to organizational health. Jeffrey Pfeffer and Robert I. Sutton show how companies can bolster performance and trump the competition through evidence-based management, an approach to decision-making and action that is driven by hard facts rather than half-truths…
My research and writing in the field of emergency or disaster management has been focused on the concept of hazard mitigation. This means reducing the impact of disasters, the creation of hazard resilient and sustainable communities, and the application of scientific and technical expertise to the task. We all live in a world where it has become more important than ever to make intelligent decisions driven by a comprehension of the properties of the physical universe. It is also a world in which economic self-interest and political interests may impede that idealistic goal. I have a sense of urgency about reducing the efficacy of such impediments.
We are living in a time when ideology, myth, superstition, and ignorance seem to have more influence than ever in shaping our future.
This excellent and important book by Shawn Otto explains the forces (political and economic) at work that are aimed at undermining the role that knowledge and rational empirical evidence might play in making rational public policy decisions. This includes the effort to weaken the role that science might ideally play in helping us to address real-world challenges.
As one who studies and seeks to assess disaster preparedness, response, and mitigation, I have come to believe this “war” on science holds the potential to give birth to ever greater and more expensive (especially in terms of human costs) disasters.
Winner of the MN Book Award for Nonfiction. "Wherever the people are well informed," Thomas Jefferson wrote, "they can be trusted with their own government." But what happens when they are not? In every issue of modern society--from climate change to vaccinations, transportation to technology, health care to defense--we are in the midst of an unprecedented expansion of scientific progress and a simultaneous expansion of danger. At the very time we need them most, scientists and the idea of objective knowledge are being bombarded by a vast, well-funded, three-part war on science: the identity politics war on science, the ideological…
I am a leader in analytics and AI strategy, and have a broad range of experience in aviation, energy, financial services, and the public sector. I have worked with several major organizations to help them establish a leadership position in data science and to unlock real business value using advanced analytics.
This is a foundational book on analytics and data science as a business function and helped to shape the development of the practice. It provides a view of the discipline through a business lens and avoids deep technical examinations. Though much has changed in the 15 years since it was originally published, it is still essential reading for a leader in the field. No book since has captured as well the competitive differentiation that analytics provides.
You have more information at hand about your business environment than ever before. But are you using it to "out-think" your rivals? If not, you may be missing out on a potent competitive tool. In Competing on Analytics: The New Science of Winning, Thomas H. Davenport and Jeanne G. Harris argue that the frontier for using data to make decisions has shifted dramatically. Certain high-performing enterprises are now building their competitive strategies around data-driven insights that in turn generate impressive business results. Their secret weapon? Analytics: sophisticated quantitative and statistical analysis and predictive modeling. Exemplars of analytics are using new…
This book follows the journey of a writer in search of wisdom as he narrates encounters with 12 distinguished American men over 80, including Paul Volcker, the former head of the Federal Reserve, and Denton Cooley, the world’s most famous heart surgeon.
In these and other intimate conversations, the book…
In my career as an academic librarian, I was often asked to teach students to think about the credibility of the information they incorporate into their academic, professional, personal, and civic lives. In my teaching and writing, I have struggled to make sense of the complex and nuanced factors that make some information more credible and other information less so. I don’t have all the answers for dealing with problematic information, but I try hard to convince people to think carefully about the information they encounter before accepting any of it as credible or dismissing any of it as non-credible.
I constantly recommend The Data Detective because it serves as an unmatched handbook for making sense of the statistical data to which we are constantly exposed.
What I like about it, besides its lively, readable style, is that the book convincingly and clearly explains 1) why we need statistical data to make informed decisions, 2) the factors that go into producing reliable statistics, 3) the factors that can produce unreliable statistics, and 4) how any statistics, reliable or not, can be misused to deceive us.
The author, Tim Harford, is an economist who writes for the Financial Times and hosts the brilliant podcast Cautionary Tales.
From “one of the great (greatest?) contemporary popular writers on economics” (Tyler Cowen) comes a smart, lively, and encouraging rethinking of how to use statistics.
Today we think statistics are the enemy, numbers used to mislead and confuse us. That’s a mistake, Tim Harford says in The Data Detective. We shouldn’t be suspicious of statistics—we need to understand what they mean and how they can improve our lives: they are, at heart, human behavior seen through the prism of numbers and are often “the only way of grasping much of what is going on around us.” If we can toss…
