Systems Analysis: How We Make Sense of the World

Systems analysis is the process of questioning odd phenomenons and understanding how they arose. For instance, questioning the odd phenomenon of how Indian currency utilizes Kushan currency system from Afghanistan hints to an allegory of conquest. Questioning why bats, animals that have anti-inflammatory responses are immune to COVID-19 even though they are carriers indicates that patients may be dying of their body’s autoimmune mechanisms instead of the virus itself. It’s amazing how much of our world is connected, and much of these patterns can only be revealed through systems analysis.

As it stands, there is no dedicated network in the brain that allows us to quickly grasp systems and why they. Our brains are wired to detect one thing at a time. The cerebellum that controls balance, the prefrontal cortex that controls impulses, but to understand systems, we need to make use of the comprehensive grey matter that dominates the brain.

Systems analysis is vital mainly for pinpointing inflection points within the network, such as where the coins originated, and where the epidemic began. It allows us to dictate specifically why a phenomenon arose. Applications can extend nationally across to Human Rights via nuclear proliferation, climate change, and scarcity of water. This may not apply to issues that may evolve multiple systems such as global warming which are “messes” of interrelated issues. In fact, due to the complexity of many of these large interrelated issues, many individuals fail to grasp its applicability and cannot distinguish fact versus fake news.

On a more personal level, systems analysis is core to what machine learning ascertains to do with a compendium of data, with applications allowing companies to generate actionable steps to grow their company, to recommending individual dating and consumer preferences.

A solution to complex systems may be similar to how the brain parses together large concepts such as goals, by making it into mini bite-sized pieces that can be more easily dissected and understood. Any analysis or mathematical model relies on the precept of controls or assumptions. Systems analysis is no different, and creating set controls to simplify understanding may be key to allowing us to easily grasp the information around us. However, it’s beautiful to imagine that even our simplest moments amazing how even in the seemingly inconsequential moments that complex theories may be derived.