I thought that book was great, it's on my must-have-ready-access shelf. As an overview of the perils of misunderstanding statistical uncertainty and how it manifests it's second to none. HOWEVER in spite of the title the actual advice regarding visual presentation is pretty thin on the ground and some of the charts used in the book are not really as good as they should be. I'd love a new edition where the charts matched up to the quality of the text.
For up to date work, see the MU Collective [0]:
"We are a cross-institution research lab working at the intersection of information visualization and uncertainty communication. Our mission is to improve both experts' and lay people's abilities to reason about data through visual representations that align with how people think. Topics we like include sampling-oriented uncertainty visualizations, interactive visualization for thinking about priors, multiple views, and Bayesian statistics.
MU Collective is directed by Jessica Hullman (Northwestern University) and Matt Kay (University of Michigan)"
Hullman is also usefully active on twitter [1]. There's lots going on in this area.
The posted article links through to "Understanding Uncertainty", [2], which has a mission of improving the public's understanding of uncertainty but appears to be a lapsed project. One member of the project team is David Spiegelhalter, who is still writing. His book "The Art of Statistics" is an excellent book on the craft of inference.
