đDistortion in Graphical Representation: 10 Quotes
âA manâs judgment cannot be better than the information on which he has based it. Give him no news, or present him only with distorted and incomplete data, with ignorant, sloppy, or biased reporting, with propaganda and deliberate falsehoods, and you destroy his whole reasoning process and make him somewhat less than a man.â (Arthur H Sulzberger, [speech] 1948)
âIf a chart contains a number of series which vary widely in individual magnitude, optical distortion may result from the necessarily sharp changes in the angle of the curves. The space between steeply rising or falling curves always appears narrower than the vertical distance between the plotting points.â (Rufus R Lutz, âGraphic Presentation Simplifiedâ, 1949)
âThe fact is that, despite its mathematical base, statistics is as much an art as it is a science. A great many manipulations and even distortions are possible within the bounds of propriety. Often the statistician must choose among methods, a subjective process, and find the one that he will use to represent the facts.â (Darell Huff, âHow to Lie with Statisticsâ, 1954)
âMany people use statistics as a drunkard uses a street lamp â for support rather than illumination. It is not enough to avoid outright falsehood; one must be on the alert to detect possible distortion of truth. One can hardly pick up a newspaper without seeing some sensational headline based on scanty or doubtful data.â (Anna C Rogers, âGraphic Charts Handbookâ, 1961)
âProbably one of the most common misuses (intentional or otherwise) of a graph is the choice of the wrong scale â wrong, that is, from the standpoint of accurate representation of the facts. Even though not deliberate, selection of a scale that magnifies or reduces â even distorts â the appearance of a curve can mislead the viewer.â (Peter H Selby, âInterpreting Graphs and Tablesâ, 1976)
âFor many people the first word that comes to mind when they think about statistical charts is âlieâ. No doubt some graphics do distort the underlying data, making it hard for the viewer to learn the truth. But data graphics are no different from words in this regard, for any means of communication can be used to deceive. There is no reason to believe that graphics are especially vulnerable to exploitation by liars; in fact, most of us have pretty good graphical lie detectors that help us see right through frauds.â (Edward R Tufte, âThe Visual Display of Quantitative Informationâ, 1983)
âCharts offer opportunities to distort information, to misinform. An old adage can be extended to read: âThere are lies, damned lies, statistics and chartsâ. Our visual impressions are often more memorable than our understanding of the facts they describe. [âŚ] Never let your design enthusiasms overrule your judgement of the truth.â (Bruce Robertson, âHow to Draw Charts & Diagramsâ, 1988)
âBecause ârealityâ and âtruthâ are essential in these figures, it is important to be straightforward and thoughtful in the selection of the areas to be used. Manipulation such as enlargement, reduction, and increase or decrease of contrast must not distort or change the information. Touch-up is permissible only to eliminate distracting artifacts. Labels should be used judiciously and sparingly, and should not hide or distract from important information.â (Mary H Briscoe, âPreparing Scientific Illustrations: A guide to better posters, presentations, and publicationsâ 2nd ed., 1995)
âNot all statistics start out bad, but any statistic can be made worse. Numbers â even good numbers â can be misunderstood or misinterpreted. Their meanings can be stretched, twisted, distorted, or mangled. These alterations create what we can call mutant statistics â distorted versions of the original figures.â (Joel Best, âDamned Lies and Statistics: Untangling Numbers from the Media, Politicians, and Activistsâ, 2001)
âCleverly drawn pictures can sometimes disguise or render invisible what is there. At other times, they can make you see things that are not really there. It is helpful to be aware of how these illusions are achieved, as some of the illusionistâs âtricks of the tradeâ can also be found in distortions used in graphs and diagrams.â (Alan Graham, âDeveloping Thinking in Statisticsâ, 2006)
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