The article discusses how random walks in four-dimensional space can be understood through scaling limits. By studying the behavior of these random walks, researchers found that additional logarithmic terms are needed in the scaling factors to fully capture their properties. The proof of these findings relies on new methods that connect the scaling of resistance metric spaces and stochastic processes. This research sheds light on the spatial location and distance from the origin of random walks in four dimensions, providing valuable insights into their behavior.