Not long ago, we posted a commentary discussing the difficulty of interpreting GDP data. The problem is one of extracting the true signal of economic growth from the noisy way that we measure output.

This signal extraction problem is generic in economics (and other sciences that use statistics). Indeed, one of us began his professional career trying to discern the trend of U.S. inflation. It was 1980 and the inflation numbers were hitting a peak of nearly 20%. The standard operating procedure at the time was to take things like food, energy and some housing-related items out of the index and recalculate them. But that meant removing only the components that had gone up more than average! How could you justify that?