Recent advances in cognitive measurements and machine learning are influencing our way of doing science. Without forming hypothesis, just setting up comprehensive measurements and sending data to machine learning is becoming a new standard. Some even suggest interpretation of data should also be asked to an artificial intelligence. However, I am wondering whether this really is work for scientists. Our work should be to establish a system of explanation accessible for humans. In this light, I am discussing the relationship between compression, encompassing, and subtraction.
