Here are 100 books that The Philosopher's Toolkit fans have personally recommended if you like
The Philosopher's Toolkit.
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As a child, I often wondered why people behave as they do, think and believe in certain ways, and/or rationalize away their behavior, ranging from the criminal to the bizarre. I have researched and studied the mind for nearly fifty years now. I have written or co-authored more than twenty books on the subject.
My new book, Mind Training, co-authored with my wife and student of over thirty years, is the culmination of everything we’ve learned. In reality, it's a story that crosses over many disciplines, cites over 200 studies, offers multiple tools for empowerment in every chapter, and does so in the personable and friendly manner that my co-author is so very good at doing.
Daniel Kahneman’s book is a must read for all who desire to understand their mind/brains and thereby maximize the use of the mind’s power over our lives.
In clear language, Daniel Kahneman illustrated the heuristic shortcuts that often limit our understanding and predispose our actions. We all hold onto outdated psychological mechanisms that create self-imposed limitations, and in doing so, we can find ourselves living out self-limiting lives.
Kahneman does an excellent job at showing us how we think we understand what we really don’t. His transparent and careful treatment of his subject has the potential to change how we think, not just about thinking, but about how we live our lives.
The phenomenal international bestseller - 2 million copies sold - that will change the way you make decisions
'A lifetime's worth of wisdom' Steven D. Levitt, co-author of Freakonomics 'There have been many good books on human rationality and irrationality, but only one masterpiece. That masterpiece is Thinking, Fast and Slow' Financial Times
Why is there more chance we'll believe something if it's in a bold type face? Why are judges more likely to deny parole before lunch? Why do we assume a good-looking person will be more competent? The answer lies in the two ways we make choices: fast,…
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…
I taught philosophy (in particular critical reasoning!) for the colleges of Oxford University between 1987 and 2021. But, aged 15, I was thrown out of school (for truancy and disruption). Between the ages of 18 and 23 I travelled the world, hitch-hiking through Asia, living in Australasia, then travelling back through Africa. By the time I got home, starved of intellectual stimulation, I started an Open University Course and discovered logic. It was the hardest thing I had ever done. But also the most enjoyable. I loved getting to grips with difficult distinctions and concepts and having to use them precisely. Getting the answers right felt like an achievement. Getting them wrong, a challenge. I’ve loved logic ever since!
Stanovich takes his title from the very last sentence in Richard Dawkin’s book The Selfish Gene, “We, alone on earth, can rebel against the tyranny of the selfish replicators.” In his book, Stanovich shows howhuman beings are able to rebel against those selfish replicators – our genes. It involves exercising, in Kahneman’s terminology, our ‘system two’ and exercising tenacity and self-discipline in bringing to bear logic and rationality in our decisions. This book is not an easy read, but it is a fascinating account of why human thinking is different and of what such differences might in principle enable us to do.
The idea that we might be robots is no longer the stuff of science fiction; decades of research in evolutionary biology and cognitive science have led many esteemed thinkers and scientists to the conclusion that, following the precepts of universal Darwinism, humans are merely the hosts for two replicators (genes and memes) that have no interest in us except as conduits for replication. Accepting and now forcefully responding to this disturbing idea that precludes the possibilities of morality or free will, among other things, Keith Stanovich here provides the tools for the "robot's rebellion," a program of cognitive reform necessary…
I taught philosophy (in particular critical reasoning!) for the colleges of Oxford University between 1987 and 2021. But, aged 15, I was thrown out of school (for truancy and disruption). Between the ages of 18 and 23 I travelled the world, hitch-hiking through Asia, living in Australasia, then travelling back through Africa. By the time I got home, starved of intellectual stimulation, I started an Open University Course and discovered logic. It was the hardest thing I had ever done. But also the most enjoyable. I loved getting to grips with difficult distinctions and concepts and having to use them precisely. Getting the answers right felt like an achievement. Getting them wrong, a challenge. I’ve loved logic ever since!
In this book, David-Hillel Ruben introduces the ways in which various philosophers have tried to explain the concept of explanation, before ending with his own account of explanation. Explaining is one of the most important actions a human being can engage in. Diagnoses, for example, are explanations of why you have the symptoms you have, or perhaps they are explanations of why that bridge collapsed or why those people bombed that mosque. In trying to explain something we make our first attempts at trying to understand the phenomenon under investigation. But what actuallyis an explanation? What do we do when we try to explain something. This is not an easy read, but it is an excellent book.
This book introduces readers to the topic of explanation. The insights of Plato, Aristotle, J.S. Mill and Carl Hempel are examined, and are used to argue against the view that explanation is merely a problem for the philosophy of science. Having established its importance for understanding knowledge in general, the book concludes with a bold and original explanation of explanation.
The Year Mrs. Cooper Got Out More
by
Meredith Marple,
The coastal tourist town of Great Wharf, Maine, boasts a crime rate so low you might suspect someone’s lying.
Nevertheless, jobless empty nester Mallory Cooper has become increasingly reclusive and fearful. Careful to keep the red wine handy and loath to leave the house, Mallory misses her happier self—and so…
I am Associate Professor of Philosophy at the State University of New York at Brockport. I have been teaching and writing philosophy for over 20 years. I have published articles in professional journals on a wide range of subjects, from epistemology to philosophy of religion and political philosophy. I think that philosophy, at its best, is a good conversation, in which people give reasons for their views, and listen to others give reasons for theirs. That’s the best way for human beings to think about philosophical questions. That’s why I love philosophical dialogues—they do philosophy in a way that embodies what philosophy is, at its very best.
This book grabs your attention right from the start. Four people are on a train, and one of them believes in witches. That’s crazy, right? (The witches part, not the train part.) But can you prove that he is wrong? One character trusts science, and only science. Another is a relativist, who believes that each person’s opinion is “true for them.” And then there is the annoying young philosopher, who is just as irritating as she is logical. This is a great book about truth, knowledge, fallibility, and tolerance. Timothy Williamson is one of the best philosophers alive today, and yet this book is accessible and engaging for anyone who wants to think about fundamental questions. The characters are compelling, and the writing is witty and fun.
Four people with radically different outlooks on the world meet on a train and start talking about what they believe. Their conversation varies from cool logical reasoning to heated personal confrontation. Each starts off convinced that he or she is right, but then doubts creep in.
In a tradition going back to Plato, Timothy Williamson uses a fictional conversation to explore questions about truth and falsity, and knowledge and belief. Is truth always relative to a point of view? Is every opinion fallible? Such ideas have been used to combat dogmatism and intolerance, but are they compatible with taking each…
As a professional, scientific researcher in astrophysics and philosopher, I have been observing many unfair situations in science: hard-working, talented scientists with bright and challenging ideas who get no attention and bureaucrats or administrators of science (I call them “astropolitics” within my field of research) who have no talent, have neither time nor interest to think about science, and however are visible as the most eminent scientists of our time.
This is a good attempt to teach some rules on how to survive as a scientist under the miseries of scientific research nowadays. I agree with many of his conclusions: integrity and freedom in science are not usual in academia, and one has to be away from official centers to develop creativity and innovative dissenting ideas or otherwise suffer brainwashing, politicization, social conflict, and ostracism.
Despite its technical sophistication, scientific research often has flaws in procedure, logic, and language that undermine its value. In Essentials of Scientific Research, Devon D. Brewer covers indispensable principles and practices for conducting sound scientific research that are rarely taught or mentioned in textbooks. These frequently overlooked principles and practices are based on common sense and logic. In this book, Brewer focuses on four aspects of doing scientific research: steps and procedures common to all fields, communicating research, working and interacting with others in scientific settings, and intellectual and ethical matters. Brewer highlights the timeless nature of the Essentials with…
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
Charlotte Pennington eagerly started her PhD but became anxious and depressed when her experiments "didn’t work’" and were refused publication. She read about the replication crisis — many published studies won’t replicate—and Open Science. Soon, it was her passion to teach about Open Science and what’s needed to achieve efficient research and trustworthy research literature.
The result is A Student’s Guide to Open Science. It’s short, clear, and highly readable. She’s well-informed and covers the story in engaging detail. There are practical guides to using Open Science practices and numerous links to follow as you wish. Statistical issues are mentioned but are not her focus.
"Dr Charlotte R. Pennington has pulled off a remarkable trifecta of being clear, concise, and comprehensive in covering the origins of the open science movement and practical advice for adopting the behaviors"
Professor Brian Nosek, Executive Director, Center for Open Science; University of Virginia, US
"My hope is that every psychology student will finish their degree with a heavily annotated, well-thumbed copy of this important and timely book!"
Dr Madeleine Pownall, University of Leeds, UK
"This book should be on the reading list for all university science degrees and on all library bookshelves. It is concise, accessible, and remarkably interactive,…
Don’t mess with the hothead—or he might just mess with you. Slater Ibáñez is only interested in two kinds of guys: the ones he wants to punch, and the ones he sleeps with. Things get interesting when they start to overlap. A freelance investigator, Slater trolls the dark side of…
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 am proud to be a human (social) scientist but think that we could collectively achieve a much more successful human science enterprise. And I believe that a better human science would translate into better public policy. Most human scientists focus on their own research, paying little attention to how the broader enterprise functions. I have written many works of a methodological nature over the years. I am pleased to point here to a handful of works with sound advice for enhancing the human science enterprise.
Though this book focuses on psychology, it has lessons for all social sciences.
Chambers, like me, is critical of certain practices and yet deeply respectful of what has been accomplished. He devotes much of his attention to the problem of confirmation bias. We as humans are more likely to accept results that conform to prior beliefs.
Journals are also more likely to publish such results. Scholars play with their findings, adding or removing data points to achieve a target level of statistical significance. The result is that we are often more confident in scholarly consensus than we should be. Chambers explains complex ideas clearly, and is passionate about the need for reform.
Why psychology is in peril as a scientific discipline-and how to save it
Psychological science has made extraordinary discoveries about the human mind, but can we trust everything its practitioners are telling us? In recent years, it has become increasingly apparent that a lot of research in psychology is based on weak evidence, questionable practices, and sometimes even fraud. The Seven Deadly Sins of Psychology diagnoses the ills besetting the discipline today and proposes sensible, practical solutions to ensure that it remains a legitimate and reliable science in the years ahead. In this unflinchingly candid manifesto, Chris Chambers shows how…
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
Another research design textbook, this one more specifically about neuroscience. My co-author, neuroscientist Robert Calin-Jageman, highly recommends it.
This third edition has clear and up-to-date discussions of issues such as phacking and publication bias that emphasise the need for Open Science. There’s a focus on effect sizes and confidence intervals, as in the new statistics. The book also describes strategies needed to enhance the rigor and reproducibility of neuroscience research.
Using engaging prose, Mary E. Harrington introduces neuroscience students to the principles of scientific research including selecting a topic, designing an experiment, analyzing data, and presenting research. This new third edition updates and clarifies the book's wealth of examples while maintaining the clear and effective practical advice of the previous editions. New and expanded topics in this edition include techniques such as optogenetics and conditional transgenes as well as a discussion of rigor and reproducibility in neuroscience research. Extended coverage of descriptive and inferential statistics arms readers with the analytical tools needed to interpret data. Throughout, practical guidelines are provided…
I gradually shifted my statistics teaching from significance testing — traditional but bamboozling — to estimation (confidence intervals), which I called "the new statistics" because, although not new, relying on it would, for many researchers, be very new. It’s more informative, makes sense, and is a pleasure to teach and use. I "retired" to write Understanding the New Statistics. Then Open Science arrived—hooray! Robert Calin-Jageman joined me for an intro textbook with Open Science and The New Statistics all through. Our first edition came out in 2017. The second edition has wonderful new open-source software (‘esci’), which is also ideal for more advanced students and researchers. Enjoy!
Yes, this is a textbook, but if you are seeking a research design and methods text for psychology or a related discipline, this is easily my top choice.
There are lots of references to topical stories to keep everything relevant for students. There’s a truckload of valuable stuff online to support both teachers and learners. This fourth edition is right up-to-the-moment, Chapter 3 especially so, as it explains three types of scientific claims, and four types of validity that researchers should aim to achieve. That may sound forbidding, but Morling’s examples and explanations are pleasingly accessible.
Featuring an emphasis on future consumers of psychological research and examples drawn from popular media, Research Methods in Psychology: Evaluating a World of Information develops students' critical-thinking skills as they evaluate information in their everyday lives. The Fourth Edition of this best-selling text takes learning to a new level for both consumers and producers by offering new content, interactive learning, and online assessment to help them master the concepts.
