Analysis and Applications of RNG in Data Art.

"While scientific evidence shows differing conclusions regarding the ability for humans to interpret and generate randomized set, no literature currently exists regarding the efficacy of random generation methods, including human generated sets, in data art production.

In this study, we visually represent the differences between human-generated randomized sets of numbers ranging from 0 to 99 (included) and computer, atmospheric noise, and die-generated sets. We then analyze observed differences in the generation methods to assert which generation method is better suited to artistical representations."

When I was around ten, I made a robot using only wood and bits of aluminium. Once finished, I was surprised it didn't boot up and greet me.

I am glad to present here, twenty years later, the equivalent of such a project.

It takes the form of a very serious study, but made by someone without any scientific qualification*.
It doubles as a data artwork.




*I literally had to learn statistical analysis for this.