By James Herriot
The sequel to All Creatures nice and Small keeps the adventures of veterinarian James Herriot in a small city in Yorkshire, England
After his first day at the task, James Herriot’s mentor warns him that the lifetime of a rustic veterinarian is filled with small triumphs and massive mess ups, yet that he’d by no means be bored. From evening visits to drafty barns in the course of freezing northern England winters, to the attractive power of rural existence in the summer, to the colourful menagerie of animals—and their owners—that go through his place of work, Herriot studies new demanding situations and joys on a daily basis. In those pages, Herriot trains less than his eccentric boss Siegfried Farnon in a country English village, courts the lady that turns into his spouse, and meets the folks he could come to jot down approximately for a lifetime.
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Extra resources for All Things Bright and Beautiful
Light, Bucknam McPeek, Frederick Mosteller, and Michael Stoto, Data for Decisions: Information Strategies for Policymakers (Cambridge, Massachusetts, 1982). ”ﬁ⁄ In our cases here, the inferences made from the data faced exacting reality tests: the cholera epidemic ends or persists, the shuttle flies or fails. Those inferences and the resulting decisions and actions were based on various visual representations (maps, graphs, tables) of the evidence. The quality of these representations diVered enormously, and in ways that governed the ultimate consequences.
Clear and precise seeing becomes as one with clear and precise thinking. For example, the scientific principle, make controlled comparisons, also guides the construction of data displays, prescribing that the ink or pixels of graphics should be arranged so as to depict comparisons and contexts. Display architecture recapitulates quantitative thinking; design quality grows from intellectual quality. Such dual principles—both for reasoning about statistical evidence and for the design of statistical graphics—include (1) documenting the sources and characteristics of the data, (2) insistently enforcing appropriate comparisons, (3) demonstrating mechanisms of cause and effect, (4) expressing those mechanisms quantitatively, (5) recognizing the inherently multivariate nature of analytic problems, and (6) inspecting and evaluating alternative explanations.
Galileo Galilei, letter to the Grand Duchess Christina of Tuscany, 1615, in The Galileo Affair: A Documentary History, edited and translated by Maurice A. Finocchiaro (Berkeley, 1989), 101.