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
This open access book offers unique insight into how and where ideas and instruments of quantification have been adopted, and how they have come to matter. Rather than asking what quantification is, New Politics of Numbers explores what quantification does, its manifold consequences in multiple domains. It scrutinizes the power of numbers in terms of the changing relations between numbers and democracy, the politics of evidence, and dreams and schemes of bettering society. The book engages Foucault inspired studies of quantification and the economics of convention in a critical dialogue. In so doing, it provides a rich account of the plurality of possible ways in which numbers have come to govern, highlighting not only their disciplinary effects, but also the collective mobilization capacities quantification can offer. This book will be invaluable reading for academics and graduate students in a wide variety of disciplines, as well as policymakers interested in the opportunities and pitfalls of governance by numbers.
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.
This study explores the dynamic relationship between science, numbers and politics. What can scientific evidence realistically do in and for politics? The volume contributes to that debate by focusing on the role of “numbers” as a means by which knowledge is expressed and through which that knowledge can be transferred into the political realm. Based on the assumption that numbers are constantly being actively created, translated, and used, and that they need to be interpreted in their respective and particular contexts, it examines how numbers and quantifications are made ‘politically workable’, examining their production, their transition into the sphere of politics and their eventual use therein. Key questions that are addressed include: In what ways does scientific evidence affect political decision-making in the contemporary world? How and why did quantification come to play such an important role within democratic politics? What kind of work do scientific evidence and numbers do politically?
At least 200,000-250,000 people died in the war in Bosnia. "There are three million child soldiers in Africa." "More than 650,000 civilians have been killed as a result of the U.S. occupation of Iraq." "Between 600,000 and 800,000 women are trafficked across borders every year." "Money laundering represents as much as 10 percent of global GDP." "Internet child porn is a $20 billion-a-year industry." These are big, attention-grabbing numbers, frequently used in policy debates and media reporting. Peter Andreas and Kelly M. Greenhill see only one problem: these numbers are probably false. Their continued use and abuse reflect a much larger and troubling pattern: policymakers and the media naively or deliberately accept highly politicized and questionable statistical claims about activities that are extremely difficult to measure. As a result, we too often become trapped by these mythical numbers, with perverse and counterproductive consequences. This problem exists in myriad policy realms. But it is particularly pronounced in statistics related to the politically charged realms of global crime and conflict-numbers of people killed in massacres and during genocides, the size of refugee flows, the magnitude of the illicit global trade in drugs and human beings, and so on. In Sex, Drugs, and Body Counts, political scientists, anthropologists, sociologists, and policy analysts critically examine the murky origins of some of these statistics and trace their remarkable proliferation. They also assess the standard metrics used to evaluate policy effectiveness in combating problems such as terrorist financing, sex trafficking, and the drug trade.
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.
Modern political culture features a deep-seated faith in the power of numbers. But quantitative evidence has not always been revered, as William Deringer shows. After the 1688 Revolution, as Britons learned to fight by the numbers, their enthusiasm for figures arose not from efforts to find objective truths but from the turmoil of politics itself.
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.
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.
