Here are 85 books that Counting fans have personally recommended if you like
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I am an award-winning art director, creative mentor, and print and pattern designer with nearly two decades of experience working successfully in the creative industries. As a young person, I loved drama, dance, and art, and was constantly bursting with creative passion. As I grew older, I faced doubt from the people around me about pursuing a creative career. I stubbornly pursued it anyway and ignored the naysayers who told me to “stop dreaming” or to “get a real job.” I am now described as a “powerhouse” in the design world and someone who fearlessly strives forward in her creative career and helps thousands around the world to believe in their own creative power.
As someone who is obsessed with colour, and I mean OBSESSED, diving into this book felt like a colourful dream come true.
Not only does this book delve into so many different colours it also shares stories about how they relate to cultures around the world, and it was so fascinating to learn about. Take my favourite colour, for example, orange. It blew my mind to find out where the word originated and when the term was first used as a colour.
I felt like I was soaking in knowledge at the turn of every page. I can’t tell you how inspired and motivated I felt to start exploring even more colour in my creative practice.
One of USA Today's "100 Books to Read While Stuck at Home During the Coronavirus Crisis"
A dazzling gift, the unforgettable, unknown history of colors and the vivid stories behind them in a beautiful multi-colored volume.
"Beautifully written . . . Full of anecdotes and fascinating research, this elegant compendium has all the answers." -NPR, Best Books of 2017
The Secret Lives of Color tells the unusual stories of seventy-five fascinating shades, dyes, and hues. From blonde to ginger, the brown that changed the way battles were fought to the white that protected against the plague, Picasso's blue period to…
I have long been struck, as a learner of French at school and later a university professor of French, by how much English borrows from French language and culture. Imagine English without naïvetéand caprice. You might say it would lose its raison d’être…My first book was the history of a single French phrase, the je-ne-sais-quoi, which names a ‘certain something’ in people or things that we struggle to explain.Working on that phrase alerted me to the role that French words, and foreign words more generally, play in English. The books on this list helped me to explore this topic—and more besides—as I was writing Émigrés.
This is cultural history with a difference and of a difference. It teaches you a lot about the reputation for fashionable culture that France enjoyed for centuries all over the world and continues to enjoy to this day. How much of all that is already packed into the book’s subtitle! The rest of the book is just as accessible and lively and unwilling ever to take itself too seriously.
What makes fashionistas willing to pay a small fortune for a particular designer accessory? Why does a special occasion only become really special when a champagne cork pops? Why are diamonds the status symbol gemstone, instantly signifying wealth, power, and even emotional commitment? Writing with great elan, one of the foremost authorities on seventeenth-century French culture provides the answer to these and other fascinating questions in her account of how, at one glittering moment in history, the French under Louis XIV set the standards of sophistication, style, and glamour that still rule our lives today. Joan DeJean takes us back…
I’m a historian who’s spent far too much time thinking about how the color magenta contributed to climate change and why eighteenth-century humanitarians were obsessed with tobacco enemas. My favorite historical topics—like sensation, color, and truth—don’t initially seem historical, but that’s exactly why they need to be explored. I’ve learned that the things that seem like second nature are where our deepest cultural assumptions and unconscious biases hide. In addition to writing nonfiction, I’ve been lucky enough to grow up on a ranch, live in Paris, work as an interior design writer, teach high school and college, and help stray dogs get adopted.
The French historian Michel Pastoureau is the master of finding topics you never knew could have a history. His research spans from the history of blue to the history of the bear, and everything he writes makes you see the world with new eyes. One of my favorites is this slim volume about the history of stripes. Pastoureau explains why stripes were associated with the devil in the Middle Ages, why sailors and swimmers took to stripes, and why cultural preferences have shifted from horizontal stripes to vertical stripes and back again. He convincingly shows that the history of the stripe is really a history of the impulse to contain social groups and people.
To stripe a surface serves to distinguish it, to point it out, to oppose it or associate it with another surface, and thus to classify it, to keep an eye on it, to verify it, even to censor it. Throughout the ages, the stripe has made its mark in mysterious ways. From prisoners' uniforms to tailored suits, a street sign to a set of sheets, Pablo Picasso to Saint Joseph, stripes have always made a bold statement. But the boundary that separates the good stripe from the bad is often blurred. Why, for instance, were stripes associated with the devil…
I’m a professor at Northland College (WI) and an American environmental historian with specialties in wine, food, and horticulture. I mostly write on alcohol, garden history, botany, and orchids. The history of alcohol is wild, fraught, and charged with power—I’ll never tire of learning about it.
A sensual cultural history mixed with economic history, specifically the rise of capitalism, Schivelbusch launches an interesting argument—that one particular substance, or taste, has often defined the zeitgeist of whole nations for definitive periods. This book is wide-ranging and general in its treatment of alcohol, as well as several other drinks and spices. There are excellent imaginative connections made, and the book invites thinkers to think deeply and broadly about the meaning of intoxicants in history and in their own lives.
From the extravagant use of pepper in the Middle Ages to the Protestant bourgeoisie's love of coffee to the reason why fashionable Europeans stopped sniffing tobacco and starting smoking it, Schivelbusch looks at how the appetite for pleasure transformed the social structure of the Old World. Illustrations.
I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.
What if you are faced with a problem for which a standard approach doesn’t yet exist? In such a case, you will need to be able to figure out the approach from the first principles. This book will help you learn how to derive insights starting from raw data.
'A statistical national treasure' Jeremy Vine, BBC Radio 2
'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science
Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way…
I’m an Associate Professor in the University of Alabama’s Department of Philosophy. I worked as an FBI Special Agent before making the natural transition to academic philosophy. Being a professor was always a close second to Quantico, but that scene in Point Break in which Keanu Reeves and Patrick Swayze fight Anthony Kiedis on the beach made it seem like the FBI would be more fun than academia. In my current position as a professor at the University of Alabama, I teach in my department’s Jurisprudence Specialization. My primary research interests are at the intersection of philosophy of law, political philosophy, and criminal justice. I’ve written three books on policing.
I love this book because it reminds us of the many ways that technology can affect justice.
It is tempting to think sophisticated tactics such as “predictive policing” can solve all problems relating to human bias. However, Brayne shows that data and algorithms do not eliminate bias and discretion. Instead, high-tech police tools simply make bias less overt and visible, which erodes the public’s ability to hold the police accountable.
I especially enjoyed how the book flips the script, considering diverse ways to use these tools to help the public. For example, how can municipalities use technology to analyze the underlying factors that contribute to policing problems in the first place?
The scope of criminal justice surveillance, from the police to the prisons, has expanded rapidly in recent decades. At the same time, the use of big data has spread across a range of fields, including finance, politics, health, and marketing. While law enforcement's use of big data is hotly contested, very little is known about how the police actually use it in daily operations and with what consequences.
In Predict and Surveil, Sarah Brayne offers an unprecedented, inside look at how police use big data and new surveillance technologies, leveraging on-the-ground fieldwork with one of the most technologically advanced law…
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.
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…
I taught for 45 years at Ithaca College broken by two years as Fulbright Professor in West Africa at the University of Liberia. During my years in academia, I developed several new courses including a popular “Math in Africa” class and the first U.S. course for college credit in chess theory. I’ve always had a passion for and continue to have strong interests in (1) national educational and social issues concerning equal access to math education for all and (2) teaching others about the power of mathematics and statistics to help one more deeply understand social issues.
This book is kind of a fun crash course in statistics which covers all the basic concepts at an introductory level.
The cartoons are a little bit dated, but still entertaining. There are lots of pictures and graphs which are a pleasure if you are a visual learner. The reader will come away with many useful tools to help understand real world problems.
I’m a retired math professor, but still got a real kick out of this book and especially appreciated the many good examples referenced such as gender discrimination in salaries and racial discrimination in jury selection. I recommended it to many of my struggling students.
Updated version featuring all new material. If you have ever looked for P-values by shopping at P mart, tried to watch the Bernoulli Trails on "People's Court," or think that the standard deviation is a criminal offense in six states, then you need The Cartoon Guide to Statistics to put you on the road to statistical literacy. The Cartoon Guide to Statistics covers all the central ideas of modern statistics: the summary and display of data, probability in gambling and medicine, random variables, Bernoulli Trails, the Central Limit Theorem, hypothesis testing, confidence interval estimation, and much more-all explained in simple,…
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…
