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Abstract:
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Communicating the results and interpretation of the data we design and collect in a manner that is transparent and easy to understand for decision-makers (including the general public) is part of our ethical obligation as statisticians. Whilst it's easier to communicate with each other than those who don't have statistical training, what is our contribution to society, fake news and the like if we statisticians aren't contributing to the overall improvement of quantitative and graphical literacy? This talk will use the examples of Graphical Perception and Drug Safety to illustrate. Terms have been named and describe in Drug Safety, initially by CIOMS, ICH and regulators, which has been fundamental to the development of drug safety assessment. This talk will describe Graphical Perception, describe how a new Wikipedia entry for Graphical Perception was created, and why this (and other) Wikipedia entries are important to practicing and academic statisticians in encouraging quantitative literacy.
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