When inflation forecasts shift and competing projections diverge, the question is less about which number is right and more about understanding the cyclical forces that drive prices upward or downward in the first place. Originally published by Edward R.

Dewey, Cycles: The Science of Prediction is a foundational primer on business cycle theory and time series methods, illustrated with more than 150 original graphs and charts.

The book walks through how recurring patterns in commodity prices, economic output, and seasonal trends can be identified, measured, and used to anticipate what comes next.

You'll see how cycle analysis isolates the rhythms embedded in long-run data - the kind of rhythms that sit beneath headline-grabbing inflation readings and periodic benefit adjustments alike.

Rather than offering a single forecast, Dewey equips you with a framework for evaluating competing predictions on their structural merits: how well they account for long-wave economic patterns, where they align with historical precedent, and where they diverge.

If you want to move past reactive budgeting and build a clearer mental model of why economic indicators fluctuate the way they do, this is a concise, chart-rich starting point.