“Today, in a design conference, we are going to talk about… statistics!” said Sisi Wei to a smattering of laughter. Wei is an investigative journalist, designer and developer at ProPublica.
Although the notion of statistics may sound daunting, designers at the Society of New Design Conference were eager to hear Wei’s “Design in the Age of Statistics-Driven Journalism” presentation.
Here is a picture of a bunch of people at a design conference listening to @sisiwei talk about statistics! #SNDSF pic.twitter.com/RKq01EBXBR
— Hilary Fung (@hil_fung) April 8, 2016
Wei presented the crowd with the question, “How do we tackle visualizing data with statistical caveats while providing accuracy and accessibility for readers?” Below are links to several of the projects Wei mentioned throughout her presentation.
Conditional Probability
The Monty Hall Problem – Victor Powell 
Significance Testing
“Hack Your Way to Scientific Glory” – Ritchie King, FiveThirtyEight
Uncertainty
“Who Will Win Super Tuesday? Live Estimates of Tonight’s Final Republican Delegate Count” – Amanda Cox, Josh Katz and Kevin Quealy, NYT 
Wei also delved into confidence intervals, which help understanding uncertainty, and how to show them with data visualizations.
Sketches by @sisiwei done when exploring options of how to visualize uncertainty #SNDSFpic.twitter.com/QSHswJOX48
— Alberto Cairo (@albertocairo) April 8, 2016
If you missed Sisi Wei’s presentation today or would like a recap click here for a link to her slides.