Disinformation visualization

Posted to Design  |  Tags: ,  |  Nathan Yau

Mushon Zer-Aviv offers up examples and guidance on lying with visualization.

We don’t spread visual lies by presenting false data. That would be lying. We lie by misrepresenting the data to tell the very specific story we’re interested in telling. If this is making you slightly uncomfortable, that’s a good thing, it should. If you’re concerned about adopting this new and scary habit, well, don’t worry, it’s not new. Just open your CV to be reminded you’ve lied with truthful data before. This time however, it will be explicit and visual.

It comes back to the whole “let the data speak” ideal. Data might have something to say, but the analyst, designer, etc still has to translate, whether that’s through statistical methods or visualization. Sometimes meaning gets lost when you’re not careful.

Favorites

The Best Data Visualization Projects of 2011

I almost didn’t make a best-of list this year, but as I clicked through the year’s post, it was hard …

Where People Run in Major Cities

There are many exercise apps that allow you to keep track of your running, riding, and other activities. Record speed, …

The Most Unisex Names in US History

Moving on from the most trendy names in US history, let’s look at the most unisex ones. Some names have …

Causes of Death

There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.