The Invisible Crisis
The Federal Reserve's latest reading on job openings carries a 90% confidence interval of approximately 700,000 positions, according to recent analysis of government survey data. The margin of error is larger than the entire labor force of Wyoming, Vermont, and Alaska combined. According to this analysis, the central bank could be off by nearly three-quarters of a million jobs when deciding whether to raise interest rates.
Standard errors across government surveys have increased 26% on average compared to 2015-2019 levels, per analysis of federal data collection systems. Eight out of ten major government surveys now produce results with larger standard errors than they did a decade ago. The Consumer Price Index's monthly standard error has nearly doubled from 10 basis points to almost 20 basis points, according to estimates accounting for recent reductions in price collection.
The United States relies on 13 major statistical agencies that provide data on labor, health, economics, education, and agriculture. These agencies produce the numbers used to inform decisions on interest rates, stimulus spending, and investment allocation.
The Disappearing Respondent
Survey response rates have declined in recent decades. The job openings survey has seen response rates drop 30 percentage points compared to 2015-2019, according to federal statistical agency data. The employment cost index is down 20 points. Nonfarm payrolls is down 18 points. The unemployment rate survey has declined 16 points.
Response rates have declined as fewer people answer surveys over the phone or in person. Survey collection methods that relied on telephone and mail contact have seen reduced participation.
When data reliability declines, policymakers may base decisions on less precise information. The Federal Reserve could adjust rates based on employment data with wider margins of error. Congress could authorize spending based on less reliable economic indicators. Investors may experience uncertainty related to data quality.
The Institutional Retreat
In September 2025, the U.S. Department of Agriculture halted its annual survey on food insecurity due to cost constraints. The survey had tracked how many American households struggled to afford adequate food.
The Federal Economic Statistics Advisory Committee was disbanded by the Trump administration, along with the Bureau of Economic Analysis Advisory Committee. These outside advisory committees provided consultation on economic data reliability and methodology. Erica Groshen, former commissioner of the Bureau of Labor Statistics, received notification that her services on the Federal Economic Statistics Advisory Committee were no longer needed.
Commerce Secretary Howard Lutnick proposed changing how gross domestic product is calculated, suggesting separation of government spending from GDP calculations. This proposal was made at a time when error margins are widening and advisory committees have been disbanded.
The British Preview
The United Kingdom's Office for National Statistics has experienced declining reliability in core products since the pandemic, according to reports on UK statistical quality. The British Labour Force Survey's falling response rate has affected its usefulness as a measure of the job market.
Bank of England policymakers have noted that the ONS official wage growth series has become difficult to reconcile with real-time tax authority information and recruitment website data. This situation exists in the central bank of the world's sixth-largest economy.
The British experience shows policymakers relying on official statistics alongside private data sources that are proprietary, opaque, and incomplete.
The Private Data Mirage
A study of Canadian tourism's impact on U.S. employment combined mobile phone data measuring Canadian visitor presence at the zip code and industry level with real-time employment data at the establishment level, according to a working paper by the Canadian Labour Economics Forum. The study found that establishments in markets most exposed to the 2025 decline in Canadian travel experienced employment declines of about 6%.
Private-sector data can provide granular, timely analysis of specific questions. However, private data has limitations. According to analysis of data source limitations, private-sector data lacks the comprehensive breadth of official surveys and relies on proprietary, opaque methodologies. Mobile phone location data can track tourism flows, but cannot measure food insecurity, wage growth across all industries, or comprehensive employment data requiring surveys of both businesses and households.
Private data is designed to answer commercial questions. Official statistical systems are designed to provide comprehensive, transparent, publicly accountable measurement for policy decisions.
The Epistemological Unraveling
When standard errors increase, surveys are canceled, and advisory committees are disbanded, measurement accuracy declines. This affects the shared empirical foundation available for economic policy debate.
According to Daniel Kahneman and Amos Tversky in a 1979 article in Econometrica, a $1 loss has different psychological weight than a $1 gain. Unreliable statistics reduce information availability. When the public observes contradictory revisions, wide confidence intervals, and canceled surveys, this affects confidence in official measures.
Lower public participation in surveys results in worse data quality. Government shutdowns prevent statistical offices from collecting data, creating gaps in time series data.
Flying Blind
Data revisions are routine updates made by agencies to enhance accuracy of initial statistical estimates. Initial estimates themselves have become less reliable as measurement instruments have degraded.
The Federal Reserve sets interest rates based on employment and inflation data. Congress authorizes spending based on GDP growth and poverty measures. Investors allocate capital based on productivity and wage trends. These decisions are based on statistical infrastructure.
A study assessing labor market effects from the 2025 Canadian tourism decline took a year to complete, according to the Canadian Labour Economics Forum. The lag between events and measurement completion has increased.
The choice ahead involves maintaining a public statistical infrastructure that is transparent, comprehensive, and democratically accountable, or relying on proprietary algorithms and other data sources.
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