Begins with study of history of statistics, and shows how the evolution of modern statistics has been inextricably bound up with the knowledge and power of governments.
French government officials have long been known among Europeans for the special attention they give to the state of their population. In the first half of the nineteenth century, as Paris doubled in size and twice suffered the convulsions of popular revolution, civic leaders looked with alarm at what they deemed a dangerous population explosion. After defeat in the Franco-Prussian War in 1870, however, the falling birthrate generated widespread fears of cultural and national decline. In response, legislators promoted larger families and the view that a well-regulated family life was essential for France.In this innovative work of cultural history, Joshua Cole examines the course of French thinking and policymaking on population issues from the 1780s until the outbreak of the Great War. During these decades increasingly sophisticated statistical methods for describing and analyzing such topics as fertility, family size, and longevity made new kinds of aggregate knowledge available to social scientists and government officials. Cole recounts how this information heavily influenced the outcome of debates over the scope and range of public welfare legislation. In particular, as the fear of depopulation grew, the state wielded statistical data to justify increasing intervention in family life and continued restrictions on the autonomy of women.
The Politics of Numbers is the first major study of the social and political forces behind the nation's statistics. In more than a dozen essays, its editors and authors look at the controversies and choices embodied in key decisions about how we count—in measuring the state of the economy, for example, or enumerating ethnic groups. They also examine the implications of an expanding system of official data collection, of new computer technology, and of the shift of information resources into the private sector. A Volume in the Russell Sage Foundation Census Series
Numbers dominate global politics and, as a result, our everyday lives. Credit ratings steer financial markets and can make or break the future of entire nations. GDP drives our economies. Stock market indices flood our media and national debates. Statistical calculations define how we deal with climate change, poverty and sustainability. But what is behind these numbers? In How Numbers Rule the World, Lorenzo Fioramonti reveals the hidden agendas underpinning the use of statistics and those who control them. Most worryingly, he shows how numbers have been used as a means to reinforce the grip of markets on our social and political life, curtailing public participation and rational debate. An innovative and timely exposé of the politics, power and contestation of numbers.
Impressive statistics are thrown at us every day - the cost of health care; the size of an earthquake; the distance to the nearest star; the number of giraffes in the world. We know all these numbers are important - some more than others - and it's vaguely unsettling when we don't really have a clear sense of how remarkable or how ordinary they are. How do we work out what these figures actually mean? Are they significant, should we be worried, or excited, or impressed? How big is big, how small is small? With this entertaining and engaging book, help is at hand. Andrew Elliott gives us the tips and tools to make sense of numbers, to get a sense of proportion, to decipher what matters. It is a celebration of a numerate way of understanding the world. It shows how number skills help us to understand the everyday world close at hand, and how the same skills can be stretched to demystify the bigger numbers that we find in the wider contexts of science, politics, and the universe. Entertaining, full of practical examples, and memorable concepts, Is That A Big Number? renews our relationship with figures. If numbers are the musical notes with which the symphony of the universe is written, and you're struggling to hear the tune, then this is the book to get you humming again.
A foundational work on historical and social studies of quantification What accounts for the prestige of quantitative methods? The usual answer is that quantification is desirable in social investigation as a result of its successes in science. Trust in Numbers questions whether such success in the study of stars, molecules, or cells should be an attractive model for research on human societies, and examines why the natural sciences are highly quantitative in the first place. Theodore Porter argues that a better understanding of the attractions of quantification in business, government, and social research brings a fresh perspective to its role in psychology, physics, and medicine. Quantitative rigor is not inherent in science but arises from political and social pressures, and objectivity derives its impetus from cultural contexts. In a new preface, the author sheds light on the current infatuation with quantitative methods, particularly at the intersection of science and bureaucracy.
How the obsession with quantifying human performance threatens business, medicine, education, government—and the quality of our lives Today, organizations of all kinds are ruled by the belief that the path to success is quantifying human performance, publicizing the results, and dividing up the rewards based on the numbers. But in our zeal to instill the evaluation process with scientific rigor, we've gone from measuring performance to fixating on measuring itself—and this tyranny of metrics now threatens the quality of our organizations and lives. In this brief, accessible, and powerful book, Jerry Muller uncovers the damage metrics are causing and shows how we can begin to fix the problem. Filled with examples from business, medicine, education, government, and other fields, the book explains why paying for measured performance doesn't work, why surgical scorecards may increase deaths, and much more. But Muller also shows that, when used as a complement to judgment based on personal experience, metrics can be beneficial, and he includes an invaluable checklist of when and how to use them. The result is an essential corrective to a harmful trend that increasingly affects us all.
One of the most urgent challenges in African economic development is to devise a strategy for improving statistical capacity. Reliable statistics, including estimates of economic growth rates and per-capita income, are basic to the operation of governments in developing countries and vital to nongovernmental organizations and other entities that provide financial aid to them. Rich countries and international financial institutions such as the World Bank allocate their development resources on the basis of such data. The paucity of accurate statistics is not merely a technical problem; it has a massive impact on the welfare of citizens in developing countries. Where do these statistics originate? How accurate are they? Poor Numbers is the first analysis of the production and use of African economic development statistics. Morten Jerven's research shows how the statistical capacities of sub-Saharan African economies have fallen into disarray. The numbers substantially misstate the actual state of affairs. As a result, scarce resources are misapplied. Development policy does not deliver the benefits expected. Policymakers' attempts to improve the lot of the citizenry are frustrated. Donors have no accurate sense of the impact of the aid they supply. Jerven's findings from sub-Saharan Africa have far-reaching implications for aid and development policy. As Jerven notes, the current catchphrase in the development community is "evidence-based policy," and scholars are applying increasingly sophisticated econometric methods-but no statistical techniques can substitute for partial and unreliable data.