Posts Tagged ‘government’
“The greatest danger in times of turbulence is not the turbulence – it is to act with yesterday’s logic”*…
Jennifer Pahlka— the founder and long-time leader of Code for America, the former US Deputy Chief Technology Officer, the author of Recoding America, and the cofounder and board chair of the Recoding America Fund— has dedicated her life to improving governance and government services. Here, she reflects on a core lesson that she has learned…
I got into government reform sixteen years ago, though I didn’t think of it as reform at the time. I thought of it as just trying to make a few specific things work better. Since then I’ve worked at the local, state, and federal levels, on benefit delivery, on national defense, on a handful of things in between. I’ve worked alongside a lot of people whose own paths in this work have run the gamut. Collectively we’ve seen a lot. I think we’ve learned a lot about what we often call the operating model of government.
But the government we have — the operating model it runs on, the rules and structures and assumptions that shape how it hires, procures, and delivers — was built for a world that no longer exists, and the distance between that world and this one is growing. We are approaching the kind of moment when that gap stops being a management problem and becomes a true legitimacy crisis. (Many will say that moment has already come.) It’s time to start asking whether the theory of change most of us have been operating under — incremental improvements off a pretty poor baseline — was ever going to get us to a government capable of meeting fast-changing needs. It hasn’t yet, and if we don’t do something differently, it won’t.
Kelly Born at the Packard Foundation recently shared with me a framework called the Three Horizons, originally developed by Anthony Hodgson and adapted widely in systems-change work. In it, Horizon 1 is the currently dominant system. It’s functional enough to persist but failing in critical ways, especially for people with less power. Horizon 3 is the future system you’re working toward, already visible in patches of practice that embody different values and different ways of working, but far from the norm. Horizon 2 is the turbulent middle where change agents work.
But the key insight is that not all Horizon 2 work is the same. Some H2 innovations genuinely create the conditions for the new system to emerge. Call those transforming H2, or H2+. Others, however inadvertently, extend the lifespan of the failing system by relieving the pressure that might otherwise force structural change. Call those sustaining H2, or H2-. Both feel like reform, but they have very different long-term implications.
H2- work is attractive because it usually produces real value in the short run. H2+ work can take a long time to pay off, and the path is rarely clear. In a stable environment, you can get away with a lot of H2-. In an environment where the underlying system has become truly untenable, the difference between the two starts to matter a great deal. I think that’s where we are now…
[Jen describes a few projects that illustrate patterns that play out over and over in the category of H2-, the work that sustains the status quo…]
… The H2- work I’m describing has been done in good faith by people. I am one of those people. Code for America, which I founded and where I spent more than a decade, is in important respects capacity substitution. USDR, which I also helped start, is as well. The healthcare.gov rescue (which I didn’t actually work on but tried to provide moral support for) was the rescue-and-rebuild cycle. For much of the past fifteen years, the H2- path was arguably the right call. When there was no political space for structural change, demonstrations were a good way to build the evidence base and develop the field.
I think we are in a different moment now. This moment is defined by disruption. I count three kinds.
Contingent disruption — pandemics, climate events, geopolitical shocks, financial crises — is unpredictable in its specifics but very predictable in its category: large, fast-moving, high-stakes demands that fall disproportionately on government. COVID was not an anomaly. The next version won’t look the same.
The most recent disruption to federal government, however, was political. Whatever the cost of its methods, DOGE made the brittleness of the current operating model impossible to ignore and created political openings for structural arguments that previously had no traction. The reform field did not create this moment. But it can shape what comes out of it.
AI brings structural disruption. This is a transformation already underway in the material conditions of work, economy, and administration. AI creates dramatic change in both the needs and conditions government must respond to and the ways in which it can respond at the same time. Yes, I certainly mean a social safety net not nearly fit to handle the levels of unemployment that are likely coming our way, and yes, I mean possible upsets in the balance of power between agencies and the vendors they rely on, but that’s barely scratching the surface.
AI is not only an exogenous shock that government will have to absorb. It is also moving the bar on what counts as acceptable service in the first place. People are already using AI to understand their medical bills, navigate insurance denials, and draft appeals for benefits they were wrongly denied. Soon they will expect to apply for SNAP or file their taxes by uploading a paystub and answering a few plain-language questions, not by filling out even the best-designed web form. The forty-page PDF used to feel intolerable. The well-designed web form will start to feel that way too, and faster than the last transition did.
And service delivery is only the most visible piece. The same expectation shift is going to hit regulation, permitting, enforcement, how quickly an agency can respond to a new problem, how a legislature decides whether a law is working. If a small team with the right tools can map a regulatory regime in a week, the timelines we have now, in which rulemaking takes several years–or even multiple presidential terms–become indefensible. If an advocate can stress-test a policy against thousands of edge cases before it gets enacted, the standard for what counts as due diligence in lawmaking starts to move. The bar is rising on the whole surface of what government does, not just on the forms people fill out.
Not everyone wants this shift to happen. Public sector unions have secured laws in several states forbidding the use of AI in service delivery, won contracts requiring union consent before autonomous vehicles can operate, and pushed legislation mandating staffing levels that the work no longer requires — as my colleagues Robert Gordon and Nick Bagley have documented. The concern for workers caught in this transition is legitimate. But blocking government’s transformation while the world around it moves on is not a strategy for protecting those workers. It exacerbates public frustration with government, weakens the case for investing in it, and leaves the people who most depend on public services with a system increasingly unfit to serve them.
So the gap we have been measuring, between what government delivers and what the public considers a basic level of competence, is widening from both ends at once. The system is straining to clear the old bar at the same moment the bar is rising.
In this environment, the benefits systems that struggled to scale during COVID will be asked to scale again. The regulatory processes that can’t move quickly will be asked to respond to developments they weren’t designed to anticipate. The civil service system that can’t attract the people it needs now will need to attract people with skills that didn’t exist a decade ago.
If I had to pick, it’s AI that drives this disruptive moment. But I don’t have to pick. You could just as easily imagine climate shocks, or the next pandemic, or an escalation of the current war. Truly, some combination of all the above is not that unlikely. Reasonable people may disagree about the size and shape of the disruption AI will bring, but betting against disruption generally seems deeply unwise at the moment.
If you buy that argument, then we must acknowledge that a reform field largely dedicated to H2- work is not what the moment calls for. In a stable environment, H2- work that buys time for a failing system might be much-needed, and might be a missed opportunity for transformation. In an environment where disruptions of all kinds are accelerating, it becomes a compounding liability. Extending the lifespan of a brittle system just means the system eventually fails more spectacularly. More people get hurt. More people look for alternatives to democracy.
That doesn’t mean we need to throw everything out and start over. For the reform ecosystem, it means existing actors need incentives to align their work toward structural transformation, new actors with adjacent expertise need to be welcomed into the fold (especially advocates and lobbyists, given how little influence muscle the field has today), and connections need to be made both upstream and downstream of where we’ve been focused. It means articulating competing H3 visions from a wide range of ideological and practical perspectives and debating them among, including the project that sparked this line of thinking, which Kelly funded and FAI and New America are currently working on. It means designing funding and partnership structures that reward structural ambition while staying grounded in meaningful near-term progress. Funders and grantees share responsibility for creating the conditions under which a diverse set of actors can aim higher by working together, and connecting the dots upstream.
For this to work, it can’t be a zero sum game. Government capacity is wildly neglected in philanthropy despite its high leverage. (Good luck naming an issue philanthropists care about that doesn’t benefit from increased government capacity.) Could the field stop doing some H2- work? Sure. That would free up some existing resources for more H2+ work, which has been too little of the field’s mindshare and resources to date. But that is not the path forward — it wouldn’t get us where we need to be. We need more resources, full stop. We need to make the case to philanthropy for greater investment in the entire field (that’s part of what Recoding America Fund is trying to do) and make the case to government leaders, including electeds, to invest in better plumbing, so that the investment in H2+ work isn’t coming at the expense of the essential life support…
[Jen outlines some of the key principles that animate H2+ efforts, then ponders “doing different things differently”…]
… I realized early last year that while I’d spent the bulk of my career trying to drag government into the Internet Era, that work has to change now. We are entering a new era, and if those of us who fought the last fight don’t adapt to the conditions and expectations of this one, we’ll make exactly the mistake the people who resisted internet-era ways of working made. We’ll become the blockers — the ones holding on to old ways of working because that is what we are used to and that is what we are good at.
None of which means rescue work should stop, or that demonstrations are worthless, or that capacity substitution isn’t helpful and needed. Some H2- work, done deliberately and named honestly, is best understood as experimentation: we’re running it inside the failing system precisely because that’s where we’ll learn what a new operating model has to do. That’s a different kind of work from rescue that produces learning incidentally, but both can be valuable.
But the field needs a shared frame clear-eyed enough to ask, with each investment: does this move the system toward H3, or does it prolong H1? That question should be driving how resources, talent, and attention get allocated now, not because the prior work was mistaken but because the moment is different and the cost of extending the status quo is too high. There will have to be work that sustains the status quo, but what tradeoffs are we willing to make?
But insisting we ask the question does not mean that answering it is easy: there is no objective set of criteria that distinguishes one from the other. What may look like H2+ to some may seem like H2- to others, and part of that depends on your particular vision of that third horizon (more on that in the coming weeks.) Some may see work as contributing to a transformation, and therefore H2+, but towards an undesired H3 state. Grappling with how to answer this question is work we all need to be doing…
… Some things haven’t changed. The community is still full of good, smart people with enormous insight into a very difficult problem. We’ve just run out of time to do it the way we’ve been doing it. A brittle system that gets propped up through manageable shocks will eventually meet a shock it can’t survive, and we are moving into a period where the shocks are neither manageable nor hypothetical. Every H2- intervention that returns the system to “good enough” is now a bet that good enough will hold. It’s a bet I no longer think we can afford to make.
The window for H2+ work has not been open like this before. It will not stay open indefinitely.
Eminently worth reading in full.
What DOGE coulda, shoulda been: “A Three Horizons Framework for Government Reform,” from @pahlkadot.bsky.social.
* Peter Drucker
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As we face forward, we might recall that it was on this date in 1970 that President Richard Nixon formally authorized the commitment of U.S. combat troops, in cooperation with South Vietnamese units, against North Vietnamese troop sanctuaries in Cambodia.
Secretary of State William Rogers and Secretary of Defense Melvin Laird, who had continually argued for a downsizing of the U.S. effort in Vietnam, were excluded from the decision to use U.S. troops in Cambodia. Gen. Earle Wheeler, Chairman of the Joint Chiefs of Staff, cabled Gen. Creighton Abrams, senior U.S. commander in Saigon, informing him of the decision that a “higher authority has authorized certain military actions to protect U.S. forces operating in South Vietnam.” Nixon believed that the operation was necessary as a pre-emptive strike to forestall North Vietnamese attacks from Cambodia into South Vietnam as the U.S. forces withdrew and the South Vietnamese assumed more responsibility for the fighting. Nevertheless, three National Security Council staff members and key aides to presidential assistant Henry Kissinger resigned in protest over what amounted to an invasion of Cambodia.
When Nixon publicly announced the Cambodian incursion on April 30, it set off a wave of antiwar demonstrations. A May 4, protest at Kent State University resulted in the killing of four students by Army National Guard troops. Another student rally at Jackson State College in Mississippi resulted in the death of two students and 12 wounded when police opened fire on a women’s dormitory. The incursion angered many in Congress, who felt that Nixon was illegally widening the war; this resulted in a series of congressional resolutions and legislative initiatives that would severely limit the executive power of the president.
– source
“You live and learn. At any rate, you live.”*…
… and to the extent that we care about our democracy, that’s an issue.
In an article based on his recent Sakurada-Kai Foundation Oxbridge Lecture at Keio University, Tokyo, John Dunn argues that our democracies depend on our picking up the pace of learning. The abstract:
There cannot be a coherent democratic theory because democracy is not a determinate topic. Representative democracy is a relatively modern regime form. It now needs rehabilitation because so many instances have performed poorly for so long. Representative democracy is now also an aging regime. As a type of state, it is subject to the territorial contentiousness and contested legitimacy of any state. It claims its legitimacy from iterative popular choice, but the plausibility of that claim is increasingly strained by the drastic disparities in life chances reproduced through the property systems it protects. The inherent difficulty for citizens to judge how to advance their collective interests is aggravated by the recent transformation of the information economy. In the cumulative damage inflicted by climate change it faces a deadlier peril than any previous regime and one which only a citizenry that can enlighten itself in time can reasonably hope to nerve itself to meet…
There follows a fascinating– and provocative– elaboration of this thesis in which Dunn considers the history of democracy and the alternatives with which it has, since its inception, vied. He concludes in a bracing fashion…
… The varieties of autocracy which will be on offer wherever the rest of the world has the opportunity to take them up will be without exception the reverse of enlightened – instrumentally and compulsively bound to the extremes of obscurantism, Darkness as a full-on fideist commitment, deliberate self-blinding as a navigational strategy. Move fast, break lots, and never pause to inspect the wreckage.
Representative democracy has recently proved itself a poor structure for collective enlightenment, but the case for it depends on its at least not precluding that, its being still open to making the attempt, and responding to what it can contrive to learn. The most optimistic vision of democracy in action has always seen it as an opportunity for collective self-education on the content of shared goods and the means to achieve them. If that is scarcely a realist picture of what it has ever been, at least it is an image of the right shape. It is too late to ask who will educate the educators. At this point we must educate ourselves together and heed the lessons of that education or we must and will die – not just each of us one by one, as we were always fated to do, but soon enough all of us and for ever…
Eminently worth reading in full: “Can Democracy be Rehabilitated?“
Apposite: “How American Democracy Fell So Far Behind,” from Steven Levitsky and Daniel Ziblatt (gift article– and source of the image above)
* Douglas Adams, Mostly Harmless
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As we devote ourselves to democracy, we might spare a thought for Ludwig van Beethoven; he died on this date in 1827. A crucial figure in the transition between the Classical and Romantic eras in Western music, he remains one of the most famous and influential of all composers. His best-known compositions include 9 symphonies, 5 concertos for piano, 32 piano sonatas, and 16 string quartets. He also composed other chamber music, choral works (including the celebrated Missa Solemnis), a single opera (Fidelio), and numerous songs.
Relevantly to the piece above…
Beethoven admired the ideals of the French Revolution, so he dedicated his third symphony to Napoleon Bonaparte… until Napoleon declared himself emperor. Beethoven then sprung into a rage, ripped the front page from his manuscript and scrubbed out Napoleon’s name…
Beethoven’s temper and Symphony No. 3 ‘Eroica’

“Without data, you’re just another person with an opinion”*…
Further, in a fashion, to a post ten days ago...
Arguing for the collection of detailed data in the first U.S. census, James Madison argued that comprehensive information was necessary to ensure legislative decisions were based on, in his words, “facts, instead of assertions and conjectures.” Since then, the importance of data has become obvious across a broader array of government activities (e.g., regulatory and judicial) and has proved a crucial service both to research and commerce. Our government, our economy, our education and research, our agriculture, and so much more depend on government-collected data.
But since the early days of his current term, NOTUS reports, President Trump and his appointees have been systematically eliminating much of that data…
Joy Binion worked for the federal government collecting data on emerging substance abuse trends in emergency rooms across the country. Her work was part of the Drug Abuse Warning Network, which President Donald Trump’s first administration funded at the recommendation of his commission on the opioid crisis.
Six months into Trump’s second term, his administration axed the data collection effort entirely, laying off Binion and her division.
“They flat out eliminated DAWN, which was actually surprising to me, because DAWN was kind of the Trump administration’s baby in 2016 as they really looked toward fighting the opioid epidemic,” Binion told NOTUS, adding that healthcare providers no longer have a comprehensive resource to learn about the new drugs that could require emergency medical responses.
Since retaking office, the Trump administration has transformed how the government collects data, cut access to previously-public data and stopped collecting some data altogether. This overhaul has left significant holes in data on everything from substance useto maternal mortality.
NOTUS spoke to 18 data experts and researchers who rely on federal data who said the breadth of information no longer being collected or distributed by the federal government has been nearly impossible to track. Researchers estimate that well over 3,000 data sets have been removed from public access.
The current reality is that the federal government is no longer a reliable source of widespread data collection… [Here] is only a small sample of the data collection the Trump administration has made changes to:
- The Department of Agriculture terminated a report on household food security in September, claiming it was “redundant, costly, politicized, and extraneous.” Feeding America said it relied on this survey to guide its programs.
- The Centers for Disease Control and Prevention stopped releasing data on maternal and infant mortality in April 2025 after the administration placed all of the agency staff managing the Pregnancy Risk Assessment Monitoring System on administrative leave. The data collection resumed in at least some states in July 2025, but recent data contains gaps.
- Trump directed the Justice Department last year to suspend a Biden-era database tracking misconduct by federal law enforcement officers.
- The administration removed questions on gender identity from the National Crime Victimization Survey, the National Health Interview Survey and other surveys. Homeless shelters, mental health hotlines and substance use recovery programs all used this data for policymaking and planning.
- The Department of Homeland Security ended public access in October to its public safety and infrastructure dataset, called Homeland Infrastructure Foundation-Level Data.
- The National Center for Education Statistics missed a mandated deadline to release its annual report on the condition of the American education system, and the materials released were lacking in data compared to previous years.
- The Health and Human Services Department’s 2024 National Survey on Drug Use and Health omitted information about drug use based on race and ethnicity. HHS laid off the team that collected the data, though the agency is reportedly working with a contractor to resume its collection.
- The Internal Revenue Service, the Department of Education and the Substance Abuse and Mental Health Services Administration no longer allow researchers to apply to access and study their data.
- The Bureau of Labor Statistics produces fewer calculations for its producer price index program and has cut down where it collects data from.
Some of these cuts were made without any public fanfare, like the administration’s decision to end DAWN. In other cases, agencies slipped the news into routine announcements. And occasionally, like when the White House mandated that questions about gender identity be removed from federal surveys, the administration touted the deletions as quelling “gender ideology extremism.” [See also here and here.]
Researchers told NOTUS that the federal government’s reasoning for terminating data collection is flawed. And in some cases, the Trump administration has run afoul of congressional mandates to produce data, including by failing to publish required reports on time and removing reports required by law…
More at: “Federal Data Is Disappearing” from @notus.com.
Several not-for-profits (the Internet Archive, libraries, and academic groups) are valiently trying to preserve data sets that have been removed. But they cannot of course preserve data that is never collected…
[Image above: source]
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As we drive with our windshields painted over, we might recall that on this date in 2020 ice fisherman Thomas Knight caught a 40 inch, 37.7 pound lake trout on Big Diamond Pond in West Stewartstown, New Hampshire. It is the largest lake trout on record in New England.










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