Variable Condition (Unicus) & Filter Bubble
Variable Condition investigates human behavior through the metaphor of color charting. The nature of being does not allow any color (or action or thought) to be exactly repeated. Theoretically, if I made this painting twenty times, each time it would be slightly different. Hence the idea of uniqueness and singularity. This benchmark piece, Variable Condition I, is organized, predictable. Each color on the x axis is mixed with a y axis color and then with an equal amount of white. What will happen when other variables are added? Predictability is shattered. Much like life, which prides itself on change and unpredictability, the paintings will become disorganized, and infinitely more interesting.
Simultaneously I'm thinking about the filter bubble, a phenomenon that describes the algorithms Google and other big data gatherers use to show you results, news, websites, and ads that it thinks you want to see, thereby eliminating alternative points of view or other possibilities. My web is not your web and vice versa. These paintings relate to pixels, which make up nearly everything we look at now as every image, print or digital, is made up of millions of pixels. Magnifying the images makes them pixelate, and our view of the big picture becomes myopic, distorted. We are unable to see the whole for what it is. This speaks profoundly to how we navigate our newstream and internet, and why we seem to be unable to have nuanced conversations and we are surprised when we encounter a viewpoint that differs greatly from our own.
Read more about filter bubble.
Filter bubble (Wikipedia): A filter bubble is a result of a personalized search in which a website algorithm selectively guesses what information a user would like to see based on information about the user (such as location, past click behavior and search history) and, as a result, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles. The choices made by the algorithms are not transparent.