Deceptive charts - do they work?

Anyone mildly interested in data visualisation must have come across examples of shamelessly deceptive Fox News charts. Truncated y-axes, distorted x-axes, messing with units - nothing’s too bold when it comes to manipulating the audience. But does this kind of deception actually work? Anshul Vikram Pandey and his colleagues at New York University decided (pdf) to find out. They showed subjects either control or deceptive versions of a number of charts.

The deceptive versions were: a bar chart with truncated y-axis; a bubble chart with one bubble too large relative to the other; a line chart with a more spread-out y-axis, resulting in a less steep rise than in the control version and a chart with an inverted y-axis (inspired by Reuters’ famous Gun Deaths in Florida chart - interesting discussion here). In all cases, the correct numbers were included in the chart.

Of course a truncated y-axis can sometimes be defensible and needn’t be deceptive, as long as it is made clear what’s going on. More problematic is the aspect ratio chart. The authors claim the chart to the right is deceptive and the one to the left not, but how can you tell? You can’t. There’s no rule that says what the number of pixels per year on the x-axis should be.

Be that as it may, the authors found substantial differences in how the deceptive charts were interpreted compared to the control charts. Note that in most cases, they didn’t measure whether deceptive charts were interpreted incorrectly, just whether they were interpreted differently than the control charts. For example, participants were asked how much better access to drinking water was in Silvatown, represented by the bar to the right of the bar plot, relative to Willowtown, represented by the bar to the left (on a 5-point Likert scale ranging from slightly better to substantially better). When shown the control bar chart, the average score was 1.45; with the truncated y-axis the average score was 2.77.

The authors also tried to find out whether factors such as education and familiarity with charts had an influence on how charts were interpreted. It appears that people who are familiar with charts are less easily fooled by a truncated y-axis. Perhaps because truncated y-axes are second on the list of phenomena chart geeks love to hate and criticise (after 3D exploding pie charts, of course).

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