Here are 100 books that The Data Detective fans have personally recommended if you like
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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.
Though written by an academic philosopher, the highly readable On Bullshit weighs in at a breezy eighty pages.
What I love about this book is the way the author differentiates the bullshitter, who attempts to persuade without any regard for the truth, from the liar, who cares about the truth but tries to hide it. Frankfurt goes on to make a strong case for why bullshit is far more dangerous than lying.
In an age where bullshitters get more far attention than they deserve, this is even more relevant than when it was first published in the social-media-free year of 1986.
A #1 NEW YORK TIMES BESTSELLER One of the most salient features of our culture is that there is so much bullshit. Everyone knows this. Each of us contributes his share. But we tend to take the situation for granted. Most people are rather confident of their ability to recognize bullshit and to avoid being taken in by it. So the phenomenon has not aroused much deliberate concern. We have no clear understanding of what bullshit is, why there is so much of it, or what functions it serves. And we lack a conscientiously developed appreciation of what it means…
Magical realism meets the magic of Christmas in this mix of Jewish, New Testament, and Santa stories–all reenacted in an urban psychiatric hospital!
On locked ward 5C4, Josh, a patient with many similarities to Jesus, is hospitalized concurrently with Nick, a patient with many similarities to Santa. The two argue…
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 recommend this book because the author, a professor of philosophy, presents a remarkably compelling, highly readable defense of the value of truth without descending into dogmatism. I was most impressed by the systematic, jargon-free way that Lynch addresses common arguments that are used to undermine the pursuit of truth, including extreme cynicism and extreme relativism.
One of my favorite statements is, “Absolute certainty is impractical and probably impossible. But as I’ve argued, this doesn’t have anything to do with the truth. We can acknowledge the frailty of the human condition and still go on pursuing truth.”
Unlike a lot of philosophy books, reading True to Life is not heavy going. And Lynch may even convince you that the impossible quest of pursuing truth is worth the effort.
Why does truth matter when politicians so easily sidestep it and intellectuals scorn it as irrelevant? Why be concerned over an abstract idea like truth when something that isn't true—for example, a report of Iraq's attempting to buy materials for nuclear weapons—gets the desired result: the invasion of Iraq? In this engaging and spirited book, Michael Lynch argues that truth does matter, in both our personal and political lives. Lynch explains that the growing cynicism over truth stems in large part from our confusion over what truth is. "We need to think…
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.
Because this book was first published in 1962, you might be surprised to learn that it has a lot to tell us about communication in the Digital Age.
McLuhan’s thesis is that, just as moving from a world dominated by oral communication to a world dominated by print changed human cognition, the movement to electronic communication–which, in 1962, primarily meant television–was actively rewiring human cognition.
Reading The Guttenberg Galaxy causes me to marvel at how thoroughly McLuhan understood that a technology that was then only in its infancy was going to change the way people think in profound, sometimes unsettling ways.
Katie's Gamble is an unexpected, unique story about a young woman who's trying to support her younger siblings by keeping her family's confectionery shop open.
In order to do that, she has to take on her older brother, who's a notorious gambler in Louisiana. Additionally, she has to outsmart Rowdy…
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 was impressed by author Kent Greenfield’s courage in questioning the near-sacred notion that all of our choices are free. Greenfield is not an enemy of choice, freedom, or liberty, but he understands how popular culture has reduced these complex concepts into not much more than advertising slogans.
A law professor at Boston University, the author uses relatable real-life examples, many of them personal, to illustrate how things that we think of as free choices are not as free as we would like to believe. Greenfield is not a pessimist, and I appreciate his suggestions for thinking more carefully about the extent to which our choices are truly and freely our own.
Americans are fixated on the idea of choice. Our political theory is based on the consent of the governed. Our legal system is built upon the argument that people freely make choices and bear responsibility for them. And what slogan could better express the heart of our consumer culture than "Have it your way"?
In this provocative book, Kent Greenfield poses unsettling questions about the choices we make. What if they are more constrained and limited than we like to think? If we have less free will than we realize, what are the implications for us as individuals and for…
My passion for visions and pathways to a better world is based on three main cornerstones: (1) The discontent with the current state of affairs in our immediate cultural environment as well as in geopolitics. (2) My belief is that successful action needs visions, including scientific visions. (3) The experience that visions interact with their Implementation; they actually live by being put into (partial) existence. And since we are all parts of the same biological species, we are able to develop also via writing and reading.
László’s book is a masterpiece of interweaving exciting storytelling with prudent proposals for a new view on seemingly unexplainable ‘bursts’ of behavior. I like the sudden breaks in the text, which abruptly jump from focus to focus—this keeps me alert and induces me to invent my own overarching interpretation.
A new stage of understanding the manyfold links in our social world has to include sudden breaks in standard behavior—this is the main message that the eminent network researcher Barabasi has in store for me.
A revolutionary new theory showing how we can predict human behavior-from a radical genius and bestselling author
Can we scientifically predict our future? Scientists and pseudo scientists have been pursuing this mystery for hundreds and perhaps thousands of years. But now, astonishing new research is revealing patterns in human behavior previously thought to be purely random. Precise, orderly, predictable patterns...
In this captivating exploration into the patterns of human behavior, Albert-László Barabási unveils a groundbreaking theory that challenges the notion of randomness. Barabási, a world-renowned expert in the science of networks, delves into the intricacies of our digital world, revealing…
I’ve wanted to be a philosopher since I read Plato’s Phaedo when I was 17, a new immigrant in Canada. Since then, I’ve been fascinated with time, space, and quantum mechanics and involved in the great debates about their mysteries. I saw probability coming into play more and more in curious roles both in the sciences and in practical life. These five books led me on an exciting journey into the history of probability, the meaning of risk, and the use of probability to assess the possibility of harm. I was gripped, entertained, illuminated, and often amazed at what I was discovering.
I found a copy of this book in the sixties. That copy, much loved, was lost in moves and mayhem. Now, I only have a Dover reprint (water-logged during yet another move), but I have never been without and would search high and low if I were.
This is also a history of probability but with a very different focus. Ms. David was a statistician able to explain the calculations intuitively (good to assign to my students). But she was also thoroughly interested in the personalities involved. What was Galileo like? What happened to Pascal at Port-Royal?
I felt personally drawn into the historical narrative that often reads like a novel.
The development of gambling techniques led to the beginning of modern statistics, and this absorbing history illustrates the science's rise with vignettes from the lives of Galileo, Fermat, Pascal, and others. Fascinating allusions to the classics, archaeology, biography, poetry, and fiction endow this volume with universal appeal. 1962 edition.
Papyrologist Lisa Emmer's world flips when the Sûreté detains her at her Metro station with news of the savage murder of the esteemed Paris historian Dr. Raimond Foix, her friend and mentor in the study of ancient documents.
Horrified, Lisa finds clues at the crime scene left behind for her…
Throughout my academic career, my chief scholarly interest has been to assess public policy using coherent theory and rigorous empirical method.The economics of crime and justice offers a powerful framework for achieving these ends.
This book applies economic theory and econometric methods to problems in criminology.
It is divided into three parts. Part I discusses models of criminal recidivism. Part II describes the economic model of crime. Part III estimates cost functions for prisons.
Specific chapters cover statistical analysis of qualitative outcomes; analysis of two measures of criminal activity – the arrest rate and the conviction rate; and long-run estimates of cost functions for a group of Federal Correctional Institutions.
I’m an applied statistician and academic researcher/lecturer at New Zealand’s oldest university – the University of Otago. R facilitates everything I do – research, academic publication, and teaching. It’s the latter part of my job that motivated my own book on R. From first-year statistics students who have never seen R to my own Ph.D. students using R to implement novel and highly complex statistical methods and models, my experience is that all ultimately love the ease with which the R language permits exploration, visualisation, analysis, and inference of one’s data. The ever-growing need in today’s society for skilled statisticians and data scientists means there's never been a better time to learn this essential language.
This provides a superb balance between technical aspects of R coding and the statistical methods that motivate its use. It's rare to find a book on topics like this that are written with Kabacoff's easygoing yet precise style, which makes it ideal for beginners. From my own experience, it is obvious the author has spent many years teaching this type of content, knowing where things deserve extra explanation up front and where other more technical details can be relegated to more advanced texts.
R is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.
R in Action, Second Edition is language tutorial focused on practical problems. Written by a research methodologist, it takes a direct and modular approach to quickly give readers the information they need to produce useful results. Focusing on realistic data analyses and a comprehensive integration of graphics, it follows the steps…
I’ve wanted to be a philosopher since I read Plato’s Phaedo when I was 17, a new immigrant in Canada. Since then, I’ve been fascinated with time, space, and quantum mechanics and involved in the great debates about their mysteries. I saw probability coming into play more and more in curious roles both in the sciences and in practical life. These five books led me on an exciting journey into the history of probability, the meaning of risk, and the use of probability to assess the possibility of harm. I was gripped, entertained, illuminated, and often amazed at what I was discovering.
I am laughing out loud, even now that I am rereading this book for the umpteenth time. Fraudsters are so clever, and so is advertising. And then there is sloppy journalism with its “wow” statistics.
I like his book enormously, not least because of its witty illustrations. It is subversive, comic, and provocative, and it makes me wise to seductive, misleading practices–and it does so with a light touch.
From distorted graphs and biased samples to misleading averages, there are countless statistical dodges that lend cover to anyone with an ax to grind or a product to sell. With abundant examples and illustrations, Darrell Huff's lively and engaging primer clarifies the basic principles of statistics and explains how they're used to present information in honest and not-so-honest ways. Now even more indispensable in our data-driven world than it was when first published, How to Lie with Statistics is the book that generations of readers have relied on to keep from being fooled.
A poisonous maiden, a Daoist sex cult, and a violent insurgency.
The polyandrous Yan family in China's rural Shaanxi Province takes in two carpenter brothers. When one brother is convicted of murder after killing their neighbor in a dispute, a constable threatens to expose the family's rumored polyandry and extorts…
I've had a long-time interest in two things: mathematics and social issues. This is why I got degrees in social work (Masters) and sociology (PhD) and eventually focused on the quantitative aspects of these two areas. Social Workers Count gave me the chance to marry these two interests by showing the role mathematics can play in illuminating a number of pressing social issues.
Jun Otsuka, a philosopher who also has training in statistics, zooms in on their philosophical foundations.
His book discusses the metaphysical, epistemological, and semantic assumptions on which Classical statistics, Bayesian statistics, predictive/classification AI models, and causal inference are based.
For those interested in these disciplines but who're also sensitive to the philosophical issues they raise, Otsuka's book is simply amazing. Run out and get a copy as soon as possible.
Simply stated, this book bridges the gap between statistics and philosophy. It does this by delineating the conceptual cores of various statistical methodologies (Bayesian/frequentist statistics, model selection, machine learning, causal inference, etc.) and drawing out their philosophical implications. Portraying statistical inference as an epistemic endeavor to justify hypotheses about a probabilistic model of a given empirical problem, the book explains the role of ontological, semantic, and epistemological assumptions that make such inductive inference possible. From this perspective, various statistical methodologies are characterized by their epistemological nature: Bayesian statistics by internalist epistemology, classical statistics by externalist epistemology, model selection by pragmatist…