I am proud to work with Data Rescue Austin (#DataRescueATX), which is one of many local citizen archivist groups organized in the wake of last year’s election. #DataRescueATX works with national organizations like DataRefuge and the Environmental Data and Governance Initiative (EDGI) to identify, back up, and help preserve freely accessible Federal data resources in the event that they are removed from public view and use. These organizations are particularly concerned with preserving federal data that supports climate and environmental research and advocacy. But the federal government also collects and distributes extensive social and economic data, which is also at serious risk of politicization and suppression. We have to protect and preserve this data as well.
Accessible, reliable information is the lifeblood of democracy. So it is no historical accident that the United States’ federal government is the largest--and possibly the most effective--compiler, repository and disseminator of social and economic data in the history of the world. Aside from the federal government's crucial role in support of the hard sciences, arts, and humanities, the social and economic data it collects, preserves and distributes is absolutely foundational to what we know about ourselves, and to our ability to plan for the future. That vast trove of data is a vital part of the American civic tradition, helping to sustain and stabilize our legal and political orders.
Although civil authorities in America have been collecting basic census data since the colonial era, the large-scale, systematic use of federally collected social and economic data in policy-making dates back the mid-to-late 19th century. As both American society and the American economy grew larger and more complex during the “Age of Progress”, Statistics became an increasingly useful way of understanding patterns of continuity and change, identifying and responding to economic and social problems, and developing a basis for rational planning. By the 1860s, the federal government was collecting data on manufactures, fisheries, agriculture, and social metrics like church membership, taxation rates, poverty and crime.
Among the most important milestones of federal statistical record keeping was the establishment of the Federal Bureau of Labor in 1884. Initially modeled after state labor agencies, the Bureau of Labor was tasked with compiling and disseminating statistics on American employment and productivity. The new bureau produced cutting edge work on both social and economic issues, and developed innovative statistical methods to better quantify and analyze the country’s rapidly changing economic and social landscape. Today, that agency is known as the U.S. Bureau of Labor Statistics, and is part of the larger Department of Labor. The BLS has a proud history of measuring inflation, employment, pay rates, productivity, and consumer spending. From its founding, it has served as the model for many of the data-gathering agencies that came after it: strictly non-partisan, highly rigorous, and well respected across the political spectrum. No mainstream politician since the Civil War has made a serious run for national office by explicitly rejecting the credibility--and even the utility--of the social and economic data collected by these agencies.
Until now. During his successful run for the presidency last year, Donald Trump:
- loudly and repeatedly dismissed the accuracy of the jobs numbers collected by the Bureau of Labor Statistics, which showed a strengthening job market under Obama.
- Suggested that the actual unemployment rate might be as high as 42%. He claimed that crime was rising toward “record levels” which is disproven by the work of the Bureau of Justice Statistics (BJS), whose statistics have shown overall crime to be near historic lows.
- Tweeted that 81% of all white homicide victims are killed by African Americans, for which he cited something called the “Crime Statistics Bureau--San Francisco,” which doesn’t exist. The FBI does exist however, and its statistics show that 15% of whites were murdered by blacks in 2014—an error factor of 5.4.
- Claimed that America’s GDP had dipped “below zero” for the first time ever. (He meant GDP growth, and it happens all the time.)
All of these statements are--and have been--easily disproven by federal data. And they comprise only a fraction of the untruths he has uttered—both during the campaign and as president—that run completely counter to what we know because of federal data. Yet rather than concede the proof of his errors, Donald Trump has doubled down on his demonstrably false claims, while at the same time attacking both press and the federal agencies whose data challenges his statements. They are, he claims, “fake news.”
And instead of playing their constitutionally assigned role as a check on the president, the Republican Party, which controls both houses of Congress, has essentially adopted his war on federal information as their own. Current Republican bills both the Senate and the House would prohibit federal funds from being used "to design, build, maintain, utilize, or provide access to a Federal database of geospatial information on community racial disparities or disparities in access to affordable housing." Another Republican house bill threatens to make large sections of the American Community Survey—an important yearly survey sent to 3.5 million Americans per year since 1940—“voluntary” rather than legally mandated.
Trump and the Republicans are now in position to warp the federal government’s information regime to their will. As it happens, most of the agencies that gather social and economic data are part of the executive branch. The Trump administration has already moved strongly to subordinate and stifle the agencies under his direct control. And the people he has chosen to lead many of those agencies suggests that far worse is yet to come.
Until this year, for example, Mick Mulvaney was a congressman from South Carolina. In 2011, Mulvaney was at the center of a movement of hardline conservatives to trigger a default on the federal debt, risking a possible global economic catastrophe. In 2013, he nearly single handedly blocked an emergency relief bill for victims of Hurricane Sandy, requiring that every dollar spent be offset by a cut somewhere else. Donald Trump named Mick Mulvaney as his new head of the Office of Management and Budget. On Monday, Trump signed an executive order instructing Mulvaney’s OMB to come up with a plan to “reorganize...or eliminate unnecessary federal agencies.” This ominous directive seems designed to constrict, or even eliminate, federal data gathering.
There are other examples: Trump has placed a man to rejects climate science in charge of the EPA. He has placed a man who believes that Hilliary Clinton received millions of fraudulent votes in the last election in charge of the Department of Justice, and a woman who has worked openly to dismantly public schools in charge of its Department of Education.
These actions go beyond mere ideology. And if Americans were unclear about the ultimate purpose behind them, Trump’s chief strategist, Steve Bannon, laid them to rest when he swaggeringly vowed that the Trump administration would fight “every day” toward the “deconstruction of the administrative state” at CPAC last month. As a first step, this regime has set out to either undermine or destroy any piece or body of information that, by its very existence, might contest their authority over the truth. By destroying the federal government’s credibility, as well as its ability to produce and disseminate social data, the Trump administration looks to strike a blow against the heart of our democratic system. Should it succeed in decoupling subjective reality from objective reality, the truth will no longer be accessible via reason and open inquiry. Instead, it will be whatever Trump and the Republicans say it is.
All of which makes federal data preservation a fundamental act of resistance. Datarescue Austin is part of a nationwide effort to scrape as much data from federal servers as possible so that it can be safely backed up and preserved on private servers. We know that scientific data—particularly data which demonstrates the reality of climate change—is under threat under the current administration. But we also need to protect the social and economic data that tells us about how history, and helps us plan for our future. Date Rescuers are working to preserve this information because we understand its value and importance. That data belongs to us. And right now, it is vulnerable.
Help keep it safe. Get involved in the nationwide effort to save federal data. For those who are already involved, below is a list of at-risk agencies that collect social and economic data. Each is part of the Federal Statistical System of the United States--the decentralized network of federal agencies which produce data about the people, economy, natural resources, and infrastructure in the United States.
- Bureau of the Census (USCB) under US Department of Commerce: Conducts Decennial Census. http://census.gov/
- Bureau of Labor Statistics (BLS) under US Department of Labor: Principal fact-finding agency for the U.S. government in the broad field of labor economics and statistics. http://www.bls.gov/
- National Center for Educational Statistics (NCES) under the US Department of Education: Collects, analyzes, and publishes statistics on education and public school district finance information in the United States. http://nces.ed.gov/
- National Agricultural Statistics Service (NASS): NASS conducts hundreds of surveys and issues nearly 500 national reports each year on issues including agricultural production, economics, demographics and the environment. NASS also conducts the United States Census of Agriculture every five years. http://www.nass.usda.gov/
- National Center for Health Statistics (NCHS): Provides statistical information to guide actions and policies to improve the health of the American people. http://www.cdc.gov/nchs/index.htm/
- Energy Information Administration (EIA) under US Department of Energy: responsible for collecting, analyzing, and disseminating energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. http://www.eia.gov/
- Bureau of Economic Analysis (BEA) under US Department of Commerce: provides official macroeconomic and industry statistics including the gross domestic product of the United States. http://www.bea.gov/
- Economic Research Service (ERS) under US Department of Agriculture: Provides information and research on agriculture and economics. https://www.ers.usda.gov (Site appears to be offline).
- Bureau of Justice Statistics (BJS) under US Department of Justice: Collects, analyzes and publishes data relating to crime in the United States. http://www.ojp.usdoj.gov/bjs/
- Statistics of Income Division (SOI) under IRS/Department of the Treasury: Collects and processes data so that they become informative and shares information about how the tax system works with other government agencies and the general public. https://www.irs.gov/uac/soi-tax-stats-statistics-of-income
- Bureau of Transportation Statistics (BTS) under US Department of Transportation: Compiles, analyzes, and makes accessible information on the nation's transportation systems; collects information on intermodal transportation and other areas as needed; and improves the quality and effectiveness of DOT's statistical programs through research, development of guidelines, and promotion of improvements in data acquisition and use. https://www.bts.gov
- Office of Research, Evaluation, and Statistics (ORES), part of Social Security Administration: Provides statistical data on OASDI and SSI program benefits, payments, covered workers, and other indicators; Sponsors special-purpose survey data collections and studies to improve data for research and statistics related to social security issues; develops links between administrative record data and survey data for use in Social Security research and policy analysis. https://www.ssa.gov/policy/about/ORES.html