how data can mislead: FIFA “development globe”

We talk a lot in class about the power of data visualizations to both inform and mislead. This is a great example of how a clean, simple, unchallenged design can hide several aspects of reality. FIFA has been implicated on several instances for encouraging and funding harmful development for mega sporting events, especially in developing nations. You would never know this from the sleek visualization posted on their website… it’s interactive, so play around with it a little

“Out of your Hands”- physical predictors of illness

The design of the first headline (explaining that certain physical characteristics increase or decrease the risk of certain ailments) made it difficult to understand the first graphic immediately, but the other 2 visualizations (by gender and race) are better displayed while being especially problematic for the simplified world of information design. With no other data visible, the user has no insight into the science behind what might make a man, woman, or person of a particular race more likely to contract a certain illness that others, creating the potential for bias, stereotyping, and discrimination.


The Most Unisex Names in US History

Super interesting concept, but some of the details (like how The Little Mermaid created a spike in Ariel being thought of as a girl’s name) are lost due to small text and cluttered aesthetics.

Otherwise, I really like how simple the design is– especially just listing every name so that the viewer can scroll around and see all of the options rather than having to click multiple times.