The article explores different ways to define and understand the complexity of information. It focuses on finding the fundamental rules that determine how complex information can be. By examining various systems for measuring complexity, the authors are trying to outline clear and specific rules that can describe the intricacy of different types of information. They show that some sets of rules work well for measuring certain types of complexity, like plain complexity, while others are more suitable for measuring conditional complexity. However, when it comes to prefix-free complexity, the usual rules don't quite fit the bill. This research delves into the diverse ways to define and categorize complexity, aiming to create a solid framework to understand the complexity of information more precisely.