Early last Tuesday evening I went to the New York Times elections website to check on the Presidential race. It had Clinton favored, but not by much—just a bit over 50% at the time, with the needle wavering alarmingly (by my reckoning) towards the side of Trump. A few hours later I was shocked to see it at a plus 70% for Trump. By the time I retired for the night the Times had him at near 100%, which, of course turned out to be the case, to my surprise and many others, even President Elect Trump himself, I suspect.
Being a chemical engineer, I like the jittery gauge display—it actually is less unsettling for me than a needle that is fixed (which usually happened only when a measuring instrument failed). Even more important, from my perspective as an aficionado of statistics, is the way this dynamic graphic expressed uncertainty—becoming less jittery as the night went on and returns came in. However, the fluctuating probabilities freaked out a lot of viewers, leading to this explanation by NYT as to Why we used jittery gauges.
For an unbiased, mainly positive, review of this controversial graphical approach by the Times to report election results see this Visualizing Data blog.
“Negativity expressed towards the jitter was a visceral reaction to the anguish caused by the increasing uncertainty of the outcome, heightened by the shocking twist in events during the night, [but] I found it an utterly compelling visual aid.”
— Andy Kirk, author of Visualizing Data
P.S. Here’s a new word that I picked up while researching this blog: “skeuomorphism”, meaning the designing of graphics to resemble real world counterparts, for example, Apple Watch’s clock-like interface. Evidently battles have been raging for years in the tech world over using this approach versus flat, minimalist, designs. I had no idea!