Former BLS Commissioner Erica Groshen explains that data revisions are a designed feature, offering users a choice between fast but less precise initial data and slower but more accurate final data. It's an intentional balance between timeliness and accuracy.

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A shutdown doesn't just delay data reports; if it extends into mid-month, it prevents the government from conducting the surveys needed for future reports. This disrupts the entire data collection pipeline, causing a ripple effect that can obscure economic trends for months after the government reopens.

Beyond budget cuts, a major threat to data reliability is a staffing crisis at the Bureau of Labor Statistics, where one-third of senior leadership positions are vacant. This loss of experienced personnel erodes institutional knowledge and resilience, increasing the risk of un-caught errors.

When querying ChatGPT for trends or tactics, failing to specify a time period (e.g., 'in the last 60 days') will result in outdated information. The model defaults to data that is, on average, at least a year old, especially for fast-moving fields like marketing.

Declining real-term funding at agencies like the BLS creates a hidden cost. To ensure core reports are released on time, staff are pulled from long-term modernization projects, compromising the agency's ability to keep up with a changing economy.

Shutdowns halt the release of key data like jobs reports and inflation figures. This obstructs the Federal Reserve's ability to make informed interest rate decisions, creating market uncertainty. It also delays Social Security COLA calculations, impacting millions of retirees who rely on that data.

Former BLS Commissioner Erica Groshen argues the agency's automated process makes it nearly impossible to manipulate a single report. The real danger is systemic change, like converting career civil servants into political appointees who can be fired, gradually eroding the agency's culture of impartiality.

Fed Chair Powell highlighted that annual benchmark revisions to labor data could reveal that the U.S. economy is already shedding jobs, contrary to initial reports. This statistical nuance, creating a "curious balance" with a stable unemployment rate, makes the Fed more inclined to cut rates to manage this underlying uncertainty.

The government's failure to release key economic reports (jobs, GDP, inflation) creates a dangerous information vacuum, forcing the Fed and businesses to operate without instruments. This void presents a significant business opportunity for private companies to develop and sell alternative economic data streams and forecasting models to fill the gap.

The Federal Reserve is not 'flying blind' during government shutdowns that halt official statistics. It uses a composite of alternative indicators for the labor market and inflation, providing enough of a signal to stick to its pre-planned policy path, such as proceeding with scheduled interest rate cuts.

Large, negative revisions to economic data often occur around major economic turning points. This is because companies hit first by a downturn are more likely to delay reporting their data, which makes the initial economic reports appear stronger than reality.