Edward Tufte is Yale University Professor Emeritus of Political Science, Statistics, and Computer Science. Through his work in these domains and the four books he has published on the display and consumption of data, Tufte has come to be best–recognized as a master of infographic and visual interface design. In his perennial one-day course on Presenting Data and Information, he teaches his view on effective visual communication through examples drawn from across eras and media.
Three themes recur through Tufte’s presentations: a belief in the intelligence of the consumer, an indifference to ‘mode of production,’ and a conviction in minimalist design. While some thought schools result in the dumbing down of data and their vehicles of communication, Tufte abhors the approach for the choices and assumptions it makes. Instead, he says, our presentation of data sets should convey as much unfiltered information as possible so that conclusions are left to the consumer. His take is that, "There’s no such thing as information overload. There’s only bad design."
Tufte believes the fundamental question behind any data publishing exercise to be ‘how can we display and convey this information?’. Where we might be tempted to ask, ‘How can we use graphics to display financial information?’ Tufte urges that we ask simply ‘How can we display financial information?’ without the pre-specification of mode. In the context of computers and applications, Tufte emphasizes the importance of an ‘app-agnostic’ approach that prioritizes the content to be delivered over the technological means of delivery.
And just as technologies and applications are invisible in a perfect Tuftean world, so is the design behind the visual. Tufte posits that UI design often goes the way of a noisy cocktail party, "where participants talk louder and louder so that they can be heard above the others." As an alternative to this cacophony of elements, he proposes the principle of the "smallest effective difference." Adhering to this, we sidestep an eye candy arms race by constantly asking of our UI components, ‘what is the smallest marginal (de-)emphasis this element can employ in order to fulfill its requirements.’