True or False: U.S. Economic Stats Lie

How’s the economy treating you? Chances are, your answer is colored largely by three things: whether you’re working (if you want to), how much you’re making and how quickly your expenses are rising. Economists rely heavily on the same factors to judge the nation’s health. At last count, 9.4% of the workforce is jobless. Compared with a year ago, the goods and services we produce are worth 5.7% less while the ones we buy are 0.7% cheaper.

Two bright people might see sharply different things in those numbers. To one, the shrinking economy is a healthy unwinding of past excess, for example, while to another it’s a dangerous downturn that calls for bold government action. But what if the numbers themselves are something we should be debating? In the alarming view of a vocal few, America’s economic measures are misstated -- rigged, really.

The accusation goes like this: Surveyors collect the nation’s data and statisticians compile and report it. Politicians naturally want the numbers to show improvement. Not being able to change the facts, they focus on the handling of facts, pressuring statisticians to change their measurements. It’s not quite one grand conspiracy but decades of minor ones compiled. Today’s reports are so perverted, the theory holds, that the numbers have detached from common experience.

If the theory has a chief architect, it is John Williams, a semi-retired grandfather of five living in Oakland, Calif. The son of a chainsaw importer, Williams sold the family business in the 1970s and began consulting for corporations, recalculating government economic data to arrive at what he says were more reliable measures, and with them, truer forecasts. Today Williams runs Shadow Government Statistics (ShadowStats.com) from his home. For $175 a year subscribers get economic data and analysis adjusted to back out the accumulated effects of what Williams has dubbed the Pollyanna Creep -- Pollyanna being the orphan protagonist of the 1913 children’s book who learns to play the “glad game” to find cheery perspectives on life’s sorrows. In other words, he provides figures he feels are properly miserable, to offset government ones he says are too prettied-up.

If Williams is right, unemployment is over 20%, gross domestic product is shrinking by 8% and consumer prices are jumping by nearly 7%. His forecasts border on apocalyptic. The government is creating so much new money, he says, that the all but inevitable result is hyperinflation, where “your highest denomination, the $100 bill, becomes worth more as toilet paper than money.” Buy physical gold, he advises.

Whether we believe the forecasts or not, the possibility of a Pollyanna Creep has serious implications. Social Security payments are just one benefit adjusted each year for increases in the cost of living. If the figures hadn’t been corrupted, says Williams, checks might be close to double what they are.

Williams has managed to attract plenty of press. A year ago, Harper’s magazine featured a cover drawing of a grinning Uncle Sam fondling numeral-shaped party balloons, with the headline, “Numbers Racket: Why the Economy is Worse Than We Know.” The story centered on Williams’ data. The San Francisco Chronicle followed with “Government Economic Data Misleading, He Says.” Last fall in the London Times: “Forget Short-Sellers and Manipulators, Pollyanna Creep Could Be the Culprit.”

Government statisticians are frustrated. “Economic Data Seems Accurate” doesn’t make for a catchy headline, so the press, they say, are too quick to give credence to conspiracy theories. “We go out of our way to be transparent,” says Thomas Nardone, who during 32 years at the Bureau of Labor Statistics helped implement many of the changes in calculating the unemployment rate. “We’d be remiss if we didn’t make changes,” he says. “I’ve never seen measurement changes that were politically motivated.”

Katherine Abraham served as commissioner of BLS during the Clinton administration. Commissioners, unlike the statisticians who work for them, are political appointees. Now a professor at University of Maryland, Abraham says she did see political pressure, but rarely, and never with results. Once, she says, a prominent lawmaker told her the BLS might get more funding if it would agree to propose changes that reduce the appearance of inflation. Abraham says she rebuffed the offer.

Decide for yourself. Here’s a roundup of measurement changes at the heart of Williams’ claims, along with responses from people who work closely with the measurements. I’ll focus on unemployment and inflation, but not GDP, since the chief flaw with it, according to Williams, is how problems with the inflation measure overstate real, or after-inflation, growth. (There’s a different case to be made -- that GDP measures some fairly undesirable things, like the cost of war and divorce lawyers, and so isn’t a great proxy for economic well-being -- but I’ll save that subject for another day.)

About 13 million people were unemployed during the Great Depression, or around 25% of the work force, but those are fairly recent estimates. At the time, the government simply didn’t track data like it does today, which made it difficult to judge whether things were getting better or worse. Two main developments in the 1930s made tracking unemployment feasible. The first was an improvement in the way statistics are used to turn a relatively small sample into a faithful representation of the larger population. That allowed for the use of surveys. The second was the notion of basing one’s status as part of the unemployed work force on actions. Whether someone wants to work, after all, is a subjective thing. Whether they’re looking for work is not.

Today the BLS reports six measures of unemployment, called U-1 through U-6, for which the definition of unemployment gradually broadens. For example, 4.5% of the work force has been unemployed for 15 weeks or longer and is actively looking for work (U-1), while 15.8% is unemployed if we count those who say they want work but aren’t looking, and those who work part-time for lack of full-time options (U-6).