In the age of increasingly complex foundation models, the question arises as to what extent the underlying correlation structures also represent causal effects. In the field of time series analysis, the concept of causality is a central component and there are established techniques for identifying non-causal spurious correlations. The Deep Dive illustrates these concepts and techniques and shows how they can be successfully combined with state-of-the-art ML algorithms. No formulas required!