The article explores how to figure out which variable causes changes in another, and if there is a feedback loop happening. They suggest ways to define causality and feedback using simple models. The problem of apparent instant causality is discussed, often due to slow information recording or not considering all possible causal factors. By analyzing the cross spectrum between variables, researchers can identify causal relationships and measure their strength and timing. This method can help understand complex relationships between variables in a more precise way.