Think about your most personal ritualistic event--walking your dog, grocery shopping, or a weekly meet-up with your friends. Most likely, it takes place in the same place, close to home, with the same people, and at a certain frequency. Rituals occur also on the social level; for example, Sunday Mass, birthday parties, and sports competitions. Ritualistic events are characterized by two dimensions: continuity and repetition, and emotional engagement. In this post, we discuss the links between rituals and data science, arguing that thanks to these two characteristics, machine learning algorithms can model rituals relatively easily.