Here are 69 books that How We Know What Isn't So fans have personally recommended if you like
How We Know What Isn't So.
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I’ve been a philosopher before I knew what philosophers were: asking questions to challenge the starting points for conversations. My biggest pet peeve has always been people who were sure they entirely understood something. While scientists conduct science to help learn about the world, philosophers of science like me study science to try to figure out how it works, why (and when) it’s successful, and how it relates to human concerns and society. Humans ultimately invent science, and I think it’s fascinating to consider how its features relate to our interests and foibles and how it’s so successful at producing knowledge and practical abilities.
In 1962, Thomas Kuhn upended the idea of scientific progress by suggesting that scientific theories change basically like fads. I find this book riveting, with a mix of colorful descriptions of science’s history and bold claims.
The book has been so influential that “paradigm shift”—its central idea that basic features of how we see the world change when scientific theories change—has been adopted to refer to any time our ideas change radically.
A good book may have the power to change the way we see the world, but a great book actually becomes part of our daily consciousness, pervading our thinking to the point that we take it for granted, and we forget how provocative and challenging its ideas once were-and still are. "The Structure of Scientific Revolutions" is that kind of book. When it was first published in 1962, it was a landmark event in the history and philosophy of science. And fifty years later, it still has many lessons to teach. With "The Structure of Scientific Revolutions", Kuhn challenged long-standing…
I have been increasingly interested in astrophysics since I was six years old. My mother hooked me on reading at five by stopping novels at critical points and urging me to continue. I’ve ever since read a broad range of books. I stumbled upon Dr. Loren Eiseley in the early 1970s and enjoyed his books immensely. As soon as a book by Dr. Carl Sagan was published, I wanted to read it. As I’ve grown older, I try not to think that ‘peak humanity’ is behind us–and books such as Sagan, Eiseley, and Rovelli offset that potentially depressing thought and provide solid encouragement.
As with my first recommendation, this book pulls together many of the ideas about people’s beliefs and thinking that I had growing up.
While I read it in ‘early middle age,’ it again synthesized a good many questions across a very broad range of topics. In the process, the book helped to solidify my own thoughts about the world in which we live and how to learn more about our Universe.
A prescient warning of a future we now inhabit, where fake news stories and Internet conspiracy theories play to a disaffected American populace
“A glorious book . . . A spirited defense of science . . . From the first page to the last, this book is a manifesto for clear thought.”—Los Angeles Times
How can we make intelligent decisions about our increasingly technology-driven lives if we don’t understand the difference between the myths of pseudoscience and the testable hypotheses of science? Pulitzer Prize-winning author and distinguished astronomer Carl Sagan argues that scientific thinking is critical not only to the…
When I was a child, I was fascinated by the supernatural and wanted to believe in the paranormal. On reaching university, I discovered there was no reliable evidence for such phenomena but rather there was a much more satisfying explanation based on the weaknesses and wishes of human psychology. Development is critical to human psychology and as I specialized in children’s thinking, I found more reasons to understand the natural origins of the peculiarities of our reasoning. SuperSense was my first popular science book to expound my ideas, but all of my subsequent books apply similar novel ways of explaining human behaviour from surprising perspectives.
This was the book that impelled me to write my own account of superstition. I could have also recommended his masterpiece, The Selfish Gene, which I read as a teenager and got me into science in the first place but this unforgiving attack on religion spurred me to write a more balanced view that considered religion as a naturally emerging consequence of cognitive development. In fairness, The God Delusion does briefly mention evidence in support of a natural inclination, but this is outweighed by an agenda (that I do not share) to eradicate religion as pernicious indoctrination. Whatever your opinion of Dawkins, he is undeniably one of the most gifted science writers with a clarity of argument combined with a poetic beauty of prose.
The God Delusion caused a sensation when it was published in 2006. Within weeks it became the most hotly debated topic, with Dawkins himself branded as either saint or sinner for presenting his hard-hitting, impassioned rebuttal of religion of all types.
His argument could hardly be more topical. While Europe is becoming increasingly secularized, the rise of religious fundamentalism, whether in the Middle East or Middle America, is dramatically and dangerously dividing opinion around the world. In America, and elsewhere, a vigorous dispute between 'intelligent design' and Darwinism is seriously undermining and restricting the teaching of science. In many countries…
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.
A biting quip in the debate about whether computers are on the verge of surpassing (or have already surpassed) human intelligence is, “It is not that computers are getting smarter but that humans are getting dumber.”
In the same spirit, Nichols argues that “These are dangerous times. Never have so many people had access to so much knowledge, and yet been so resistant to learning anything.”
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.…
As a licensed mental health professional, I once had a client claiming to be demonically possessed, and requested that I get an exorcist to drive the evil spirits out of her body. Instead, I utilized a therapeutic approach to challenge “irrational” beliefs. The problem was gone. I realized that people were prone to strange beliefs and started to read and listen to “experts” who were skeptical in nature. To my surprise, I saw Carl Sagan distinguishing astrology (pseudoscience) from astronomy (science). His talk was clear, convincing, and logical. I was hooked.
Michael Shermer systematically addresses why humans believe weird and extraordinary things. He even makes a case that we are hard-wired for it. Further—and this should make most of us feel better about our strange thinking—he shows how even highly intelligent people sometimes believe in pseudoscience and other extraordinary claims.
This work presents a down-to-earth and sometimes funny survey of a range of contemporary irrationalisms, and explains their empirical and logical flaws. It tackles a variety of topics including creationism, Holocaust denial, race and IQ, cults and alien abductions, and the author looks at the research behind the claims and discredits the pseudoscience involved.
When I was a child, I was fascinated by the supernatural and wanted to believe in the paranormal. On reaching university, I discovered there was no reliable evidence for such phenomena but rather there was a much more satisfying explanation based on the weaknesses and wishes of human psychology. Development is critical to human psychology and as I specialized in children’s thinking, I found more reasons to understand the natural origins of the peculiarities of our reasoning. SuperSense was my first popular science book to expound my ideas, but all of my subsequent books apply similar novel ways of explaining human behaviour from surprising perspectives.
This book examines the psychology of superstition from the perspective of cognitive science and fallibility of human reasoning. Rather than dismissing superstitious behaviour, Vyse provides a comprehensive explanation of why we continue to hold such beliefs as a function of the way our minds work. This was the book that really inspired me to examine the developmental origins of magical thinking.
While we live in a technologically and scientifically advanced age, superstition is as widespread as ever. Not limited to just athletes and actors, superstitious beliefs are common among people of all occupations, educational backgrounds, and income levels.
In this fully updated edition of Believing in Magic, renowned superstition expert Stuart Vyse investigates our tendency towards these irrational beliefs. Superstitions, he writes, are the natural result of several psychological processes, including our human sensitivity to coincidence, a penchant for developing rituals to fill time (to battle nerves, impatience, or both), our efforts to cope with uncertainty, the need for control, and…
When I was a child, I was fascinated by the supernatural and wanted to believe in the paranormal. On reaching university, I discovered there was no reliable evidence for such phenomena but rather there was a much more satisfying explanation based on the weaknesses and wishes of human psychology. Development is critical to human psychology and as I specialized in children’s thinking, I found more reasons to understand the natural origins of the peculiarities of our reasoning. SuperSense was my first popular science book to expound my ideas, but all of my subsequent books apply similar novel ways of explaining human behaviour from surprising perspectives.
This is an easily accessible book based on Wegner's brilliant work on consciousness and mental control. I have always found Wegner’s work utterly fascinating as it provides such a convincing picture of a mind constantly in a struggle to think coherently – something that I easily recognise in my own conscious awareness. The findings on intrusive implicit thoughts were particularly influential in my own writing about the conflict between dormant thoughts and conscious appraisal that may be factors in why magical thinking surfaces in the rational mind.
In a series of groundbreaking experiments, Daniel M. Wegner told subjects not to think about white bears. Of course, they found it impossible to avoid thinking of the bears--just as it often seems impossible to stop thinking about forbidden foods, a painful memory, or everyday fears and worries. Synthesizing a wealth of scientific knowledge in an accessible, engaging style, this book reveals that the more we attempt to push away or avoid unwanted thoughts, the deeper they take hold. Wegner offers compelling insights into how unpleasant or obsessive thoughts get out of control--and what we can do to break free…
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 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.
The title is provocative but justified because so much of the “evidence” that we are bombarded with daily is bullshit. This is a wonderful compilation of statistical mistakes and misuses that are intended to persuade readers to be skeptical and to show them how to recognize bullshit when they see it.
Bullshit isn’t what it used to be. Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.
“A modern classic . . . a straight-talking survival guide to the mean streets of a dying democracy and a global pandemic.”—Wired
Misinformation, disinformation, and fake news abound and it’s increasingly difficult to know what’s true. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based…
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…
