The Statistical Mind In Modern Society

ISBN
   

Soort boek
Paperback

In the period 1850-1940 statistics developed as a new combination of theory and practice. A wide range of phenomena were looked at in a novel way and this statistical mindset had a pervasive influence in contemporary society. This development of statistics is closely interlinked with the process of modernisation of society at the time, and with the rapid progress in the sciences. The increasing influence of the statistical approach sometimes evoked strong opposition on the part of government, business and science, and gave rise to lively debates. This two-volume publication is a follow-up to The statistical mind in a pre-statistical era: The Netherlands 1750-1850 (Paul M.M. Klep and Ida H. Stamhuis, eds), published in 2002. The contributions in volume I Official statistics, social progress and modern enterprise, produced by experts from various disciplines, cover a great diversity of topics. In addition to the institutionalisation and internationalisation of official governmental statistics, attention is paid to statistics supporting policies for modernising society, in areas like agriculture, social legislation, education and justice. The application of statistics in trade and industry (such as banking and insurance, and the railways) is also discussed, as well as the growth of state power to combat social and economic problems such as child labour, the fight against alcoholism and economic crises. The contributions volume II Statistics and scientific work, also produced by experts from various disciplines, also cover a great diversity of topics. The application of statistics in the sciences (demography, geography, genetics, economic historiography, agricultural and medical sciences) is discussed in an international context. Special attention is given to the general emergence of thinking in terms of probabilities and the influence of mechanisation in statistics, as well as to the way Dutch scholars and scientists tried to solve statistical measurement problems (in meteorology, demographic forecasting, business-cycle research and unemployment).