One of the most frequent misinterpretations is the confusion between correlation and causation. Just because two variables are correlated does not mean that one causes the other. For example, an increase in ice cream sales and drowning incidents may be correlated during summer, but eating ice cream does not cause drowning. Misinterpreting correlation as causation can lead to inappropriate public health interventions.