You are a senior data scientist. You are provided with a dataset summary showing a strong positive correlation between the number of firefighters at a scene and the damage caused by the fire. Perform a causal inference analysis to determine if the correlation is spurious. Identify the likely confounding variable (lurking variable) and explain how you would design an A/B test or observational study to isolate the true causal relationships between fire size and damage.