Design has a powerful impact on the viewer. It has authority, and data also has the same air of authenticity and detail. It can be hard to argue with a graph, and it's hard to argue with data. So to combine data with a strong visual impact creates a powerful message.

The classic one for me is one of my favorite images - left-versus-right political-spectrum image. I was trying to visualize the concepts on the political spectrum. I'm left-leaning, and I discovered as I was doing it that I had an impulse to make the left-hand side appear better than the right-hand side. That was manifesting in the way I was choosing certain words, framing certain ideas. I shared it with a few people, and they all said, "Oh my God, this is really biased." I hadn't seen it at all.

Design has a powerful impact on the viewer. It has authority, and data also has the same air of authenticity and detail. It can be hard to argue with a graph, and it's hard to argue with data. So to combine data with a strong visual impact creates a powerful message.

Simplification seems to be the removal of objects for the goal of making a graphic as clean and uncluttered as possible. Whereas, with optimization, it feels like there's more intelligence in that. It maintains the usability, but tries to distill something down to its essence. But with some data-sets you have to be careful because, as with linear, print journalism, it's easy to shave off facts that don't quite fit the flow.

For years I thought I was just a writer, but when I sat down to design and started playing around with it, I realized that, really, it's pretty easy. Obviously it's more than just a set of rules, but the basics of design are actually pretty simple and quite mathematical. The link between data and design works at quite a fundamental level.

Data is the new soil, because for me, it feels like a fertile, creative medium. Over the years, online, we've laid down a huge amount of information and data, and we irrigate it with networks and connectivity, and it's been worked and tilled by unpaid workers and governments.

Sometimes the data has a sense of a structure within it, especially if I'm looking at networks or relationships, which generally lend themselves to a certain style.