Behavioral Science has traditionally focused on understanding and influencing human behavior by identifying factors driving specific and directly related decisions. This linear approach, simplifies complex scenarios into isolated variables, and has provided the foundational insights for developing targeted interventions. While this perspective has proven effective in many cases, it may only sometimes fully capture the broader context in which behaviors occur, as a linear understanding alone is insufficient to grasp the complexities of human behavior fully. It misses important considerations like ripple effects and second-order effects. This is where systems thinking emerges as a valuable complement to applied behavioral science. By shifting from a singular, cause-and-effect perspective to a multi-layered, multidimensional approach, systems thinking allows us to see behavior not as an isolated event but as part of a broader system influenced by many interconnected factors that interact in dynamic and often unpredictable ways.