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Spurious correlation: cumulative ad spend and cumulative revenue

A marketing lead plots the company's cumulative ad spend against its cumulative revenue, month by month. Both rise every single month, and the two curves correlate at r=0.99r = 0.99. She presents this as proof that advertising drives revenue.

Why is the 0.99 essentially guaranteed, and how should she analyze the data instead?

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