(Roughly) Daily

“Without data, you’re just another person with an opinion”*…


It used to be that we’d see a poorly made graph or a data design goof, laugh it up a bit, and then carry on. At some point though — during this past year especially — it grew more difficult to distinguish a visualization snafu from bias and deliberate misinformation.

Of course, lying with statistics has been a thing for a long time, but charts tend to spread far and wide these days. There’s a lot of them. Some don’t tell the truth. Maybe you glance at it and that’s it, but a simple message sticks and builds. Before you know it, Leonardo DiCaprio spins a top on a table and no one cares if it falls or continues to rotate.

So it’s all the more important now to quickly decide if a graph is telling the truth…

Nathan Yau (Flowing Data) provides a very helpful (and very amusing) guide: “How to Spot Visualization Lies.”

* W. Edwards Deming


As we key our eyes open, we might send healthy birthday greetings to John Snow; he was born on this date in 1813.  A physician and a leader in the adoption of anaesthesia and medical hygiene, he is considered the father of modern epidemiology, in large measure because of his work in tracing the source of a cholera outbreak in Soho, London, in 1854.  His On the Mode of Communication of Cholera (1849) suggested that cholera was a contagious disease easily transmitted by contaminated water. But the widely-held theory was that diseases are caused by bad air led to his idea being ignored.  Then, in London’s 1854 cholera emergency, he painstakingly correlated individual cholera casualties to the water supply they had used in each case.  He then communicated his results with a map that underlined his point, and ended the deadly epidemic by removing the pump handle of the community water pump that he found to be the culprit.

Snow’s map of cholera cases


His findings inspired fundamental changes in the water and waste systems of London, which led to similar changes in other cities, and a significant improvement in general public health around the world.  His mode of communicating them contributed to the rise of data visualization.



Written by LW

March 15, 2017 at 1:01 am

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