Books like Data Feminism — picked by fans

Superior by science journalist Angela Saini is based on source materials. In addition, it is animated by interviews with key scientists involved in the struggle to end race science. Saini weaves together stories that get at the more intimate details of, on the one hand, the persistence and continual reinvention of race and race science, and on the other, the work of individuals including Jonathan Marks and Jay Kaufman to move us all to better understanding why racism, not biological race, is the cause of inequalities in health and wealth. Superior is the most readable of all the books that focus on race and human variation.  

This book is now 50 years old, but its message is as relevant and important now as when it was written. In a series of witty essays that border on rants, Andreski attacks much of social science as fluff obscured by technical jargon and methodology. In particular, he laments the growth of quantitative methods as an attempt to add objectivity to social science and make it appear “harder.” True objectivity is about more than mechanical number-crunching, he says; it’s about a commitment to fairness and resisting the temptations of wishful thinking – a challenge anyone who works with data concerning people and their lives should take seriously.

People need less Dawkins in their lives and more Lewontin, whose thought-provoking, accessible writing about evolutionary biology stands in fierce opposition to the trend toward genetic determinism that seems to be the rage nowadays. We are not simply our genes, Lewontin says, because the effects DNA has on our lives are mediated by social and environmental factors, many of which we can influence. While it’s nominally about biology, I also read this as a critique of causal inference, generally. What we consider a “cause” reveals our ideological commitments to certain aspects of the world being maintained, and we should be careful what causal lessons we draw from data.

The thing you should know about science is that it’s a human enterprise. As a result, it’s dependent on human factors like social consensus and prejudice. In this series of case studies of famously expensive and difficult-to-replicate experiments probing the limits of scientific understanding from biology to theoretical physics, Collins and Pinch show how scientific knowledge gathering is rarely straightforward because there are always alternative explanations available for the data. Was the phenomenon real or was the experiment set up badly? We can never know for sure, but we decide collectively what we believe. Scientists are experts participating in human culture, they argue, not mysterious clergy issuing declarations of absolute truth.

I’m always talking to scientists, but I have never undertaken anything like Bruno Latour’s voyage of ethnographic discovery. He decided to figure out how science works by embedding himself in a scientific lab for two years and, discarding all preconceptions, recording what he saw there as though he were an anthropologist visiting a foreign culture.

It turns out to be an intensely political culture: rather than following prescribed laws of method and logic, scientists are making judgment calls and negotiating with one another to decide the significance of their data, making it up as they go along. Latour brings out the subjectivity of much low-level scientific decision-making, in contrast to Kuhn’s picture, in which the blueprint for thinking—the paradigm—rules over the enterprise like a catechism.

I studied at Tel Aviv University, where the name Gideon Toury was uttered in reverent tones. I never met Toury in person, and it was only towards my graduation that I finally got around to reading this iconic book.

To say that it is a smooth or engaging read would be a gross misrepresentation. Toury was a devout structuralist and a firm believer in the importance of scientific inquiry in the humanities. Accordingly, this is a book one reads in a staggered mode, one dense section at a time. This makes for an unusual reading experience, but there is something addictive about it, especially for contemporary readers.

We have grown so distant from this kind of extreme positivism, this undaunting belief in the possibility of unbiased scholarship, that for a brief moment, the numerous charts, formulas, and abbreviations that adorn the pages of Toury’s book seem almost amusing. But this… show more.

This book written in 1922 by the Austrian economist at the University of Vienna is one of the few truly foundational works in political economy. Mises takes apart the theory of the Marxist moneyless planned economy which Lenin and then Stalin tried to apply to the Soviet Union. Mises lucidly explains why not only that it could never work but would lead to catastrophic and unending shortages, dictatorship, repression, and arbitrary rule enforced by a militarized one-party state. Although Mises had no knowledge of China, it is the best book to read in order to understand what happened in China in the 20th century.

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 p hacking 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.

I don’t remember how this book made it into my hands, but I am so glad it did! This book has made me a better scientist because it taught me scientific humility. Popper rips apart the very fabric of experimental science’s unique and most powerful tool, the scientific method.

When I taught students at MIT how to apply experimental analysis with the scientific method to establish that an observed effect was, in fact, caused by an identified factor, always in my head, I would hear the words of Popper. Past relationships between factors and effects are not necessarily maintained in the future. This understanding of the nature of the universe reveals the imperfections of science, which rarely proves the world’s truths but often does elucidate them.

When I first read this book as a history student, it just blew my mind.

Keith Jenkins is an expert at criticizing the roots of historiography in the clearest but also most hilarious way. I learned so much about understanding historical texts and was excited by Jenkin’s urge to move historical thinking beyond narratives of good and evil.

Main lesson learned: Don’t take things too seriously, especially if they already happened!