 Pictorial StatisticsWorking Papers from Utrecht School of Economics Abstract: This chapter discusses Francis Galton’s method of inductive inference where the data are photographs of human faces. His aim of induction was to determine the typical characteristics of the natural class to which the individuals belong by composing the relevant photographs in a specific photographic way. The three populations that were studied by Galton are people suffering tuberculosis, Jews, and criminals. This chapter argues that despite the fact that Galton aimed at mechanical objectivity, subjective judgements nevertheless appear to be a necessary part of this kind of inductive inference. At first sight, this seems very much in the line of Daston and Galison’s account on objectivity. They argue that in the twentieth century the awareness arose that mechanical-objective pictures still could contain errors that should be erased by trained judgement. Galton’s case of inductive reasoning, however, departs from this account by showing that the correct composites were achieved by a combination of mechanical procedures and untrained judgements. To arrive at the typical characterisations one first has to familiarize oneself with the data, but the familiarization should be done by someone who is not an expert of the cases under study. Keywords: composite portrait; eugenics; familiarization; objectivity; trainedjudgement (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:use:tkiwps:2003 Ordering information: This working paper can be ordered from Access Statistics for this paper More papers in Working Papers from Utrecht School of Economics Contact information at EDIRC. |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.