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Numbers are how economics checks itself, and gathering them is harder than it looks. An economy has no single dial to read. Its size has to be estimated, usually as gross domestic product, the total value of what a country produces in a year, pieced together from surveys, tax records, and a fair amount of careful guesswork.

Other measures track narrower things: the share of people looking for work but unable to find it, the average change in prices across a basket of everyday goods, the balance of what a country sells abroad against what it buys. Each comes with its own definitions and blind spots. The unemployment figure, for instance, usually leaves out people who have stopped searching, so it can understate how slack a job market really is.

Because the raw counts arrive late and get revised, economists lean on indicators that move early: orders for factory goods, new building permits, the gap between short and long-term interest rates. None predicts the future on its own. Read together, they sketch a rough picture of where things are heading, which is often the best the data allows.

A steady caution runs through all of this: a measure is not the thing it measures. Output figures say nothing about how evenly the gains are shared, and they miss unpaid work and damage to the environment entirely. Knowing what a number leaves out matters as much as the number itself.