This article was written by Nathan Yau. 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 spre…
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