Can the existence of the competing neural calculators tell us how to design effective strategies to communicate uncertainty?
Are the displays and practices recommended by David Spiegelhalter et al. in their Science article (<<>>) the best we can do?
Are the visual displays recommended by Donna Gresh at IBM (see Donna's SRA slides) effective and reliable tools to communicate uncertain numerical quantities?
Does the Equivalent Binomial Count effectively communicate incertitude about probability values?
Are cumulative distributions reliable and communicative characterizations of variability and uncertainty? Are multiple, simultaneous characterizations (such as recommended by Burmaster's "best practices") really needed or even preferable?