America’s “Efficiency” Fixation Is Becoming an Excuse to Neglect What Actually Works
Efficiency sounds like virtue without ideology—but in public life it often means cutting the measurable while neglecting the capacity people actually rely on.

Key Points
- 1Recognize how “efficiency” often rewards measurable cuts while undermining fairness, safety margins, institutional memory, and crisis resilience people depend on.
- 2Watch for Goodhart’s Law: when agencies chase throughput, headcount, or closures, metrics can improve as real outcomes deteriorate.
- 3Demand reforms that protect capability—training pipelines, enforcement deterrence, and data safeguards—before celebrating speed, attrition, or shrinking budgets.
Efficiency sounds like virtue—until it becomes a cover for cuts
Yet in public life, “efficient” often means something narrower: fewer workers, shorter lines, slimmer budgets, faster processing times. Those are measurable. The things people actually depend on—fairness, safety margins, institutional memory, resilience in a crisis, the quiet competence that keeps systems from failing—are harder to count, easier to cut, and painful to rebuild.
The country is watching an old argument return with new branding. President Trump has announced a “Department of Government Efficiency” (DOGE), framed as a mission to slash regulations, cut expenditures, and restructure agencies, with work expected to conclude no later than July 4, 2026, according to CBS News reporting. DOGE has become a political shorthand: a promise that the state can be made leaner without losing what makes it function.
The problem isn’t the desire to waste less. The problem is mistaking waste for capacity—and metrics for reality.
In government, the easiest numbers to improve are often the ones least connected to what the public actually needs.
— — TheMurrow Editorial
The seduction of “efficiency” and the danger of measuring the wrong thing
Scholars have a name for that dynamic: Goodhart’s Law, often summarized as “When a measure becomes a target, it ceases to be a good measure.” Recent work continues to formalize and test Goodhart-type effects in modern optimization contexts, reflecting a broader concern: when institutions are managed to hit a metric, the metric can stop tracking what it once represented. (See: arxiv.org/abs/2505.23445)
What proxy optimization looks like in practice
- Political pressure to show results quickly
- Management targets that emphasize speed, volume, or cuts
- Short-term improvements on paper
- Long-term fragility as experience, surge capacity, and compliance safeguards erode
Efficiency rhetoric also tends to collapse two different questions into one. The first is moral and fiscal: should the government do less? The second is operational: can it do what it is responsible for, reliably and lawfully? Americans can disagree about the first question. The second is less ideological than it appears.
Why the hardest-to-measure outputs matter most
The public doesn’t experience government as ‘efficient.’ People experience it as competent—or not.
— — TheMurrow Editorial
DOGE: efficiency as a political brand, not an operating plan
DOGE’s timeline—work expected to end by July 4, 2026, per CBS News—adds to the sense that the goal is not merely reform but rapid transformation. Speed can be valuable. Speed can also be a way of bypassing the slow work of institutional change: piloting, auditing, training, building safeguards, and accepting that some public functions cannot be streamlined without tradeoffs.
The remote-work rollback as an “efficiency lever”
Those numbers matter because they turn a workplace policy into a staffing policy. Supporters argue that stricter in-office requirements can restore accountability and collaboration. Critics argue that using workplace mandates to force quits is a blunt instrument—especially if agencies lose specialized staff who can find comparable work elsewhere.
When “move fast” collides with governance
Even if one brackets the specifics of any single allegation, the principle is straightforward: public systems are not only service machines; they are custodians of sensitive data and legal obligations. An efficiency campaign that treats compliance as friction can create liabilities that swamp any savings.
If speed becomes the highest value, safeguards start to look like ‘waste’—right up until they prevent a disaster.
— — TheMurrow Editorial
Case study: IRS staffing cuts and the high price of “saving money”
A watchdog-based report covered by CNBC/Reuters stated that as of March 2025 the IRS workforce had fallen by more than 11,000 employees (11%). The same coverage reported separations were especially high among revenue agents (auditors): 3,623 lost, about 31%.
Those are not generic administrative positions. Revenue agents are the people who examine complex returns, investigate discrepancies, and pursue enforcement actions that deter evasion. Cutting them reduces payroll spending in the short run. It can also reduce collections, weaken deterrence, and increase the perception—fair or not—that compliance is optional for the well-advised.
Time-to-competence is the hidden cost
CNBC/Reuters linked the staffing losses to probationary terminations and a “deferred resignation” approach amid broader budget politics around enforcement resources. However one views IRS enforcement philosophically, a basic operational fact remains: when you reduce capacity in a specialized function, the system’s performance does not bounce back on command.
Multiple perspectives: enforcement, fairness, and burden
A serious efficiency debate has to acknowledge both. The goal should not be maximal enforcement. The goal should be a credible, competent enforcement posture that maintains fairness and voluntary compliance.
Case study: air traffic control and the fragility of “lean”
A Government Accountability Office report dated Dec. 17, 2025 found that the FAA employed 13,164 controllers at the end of FY2025, about 6% fewer than 2015. Over roughly the same period, total flights increased about 10%, reaching 30.8 million flights using the air traffic control system between FY2015 and FY2024.
Those figures describe a system being asked to do more with fewer people. Efficiency talk tends to celebrate that. Safety professionals tend to worry about it.
Hiring and training are not quick fixes
That timeline matters for policy. If staffing is allowed to fall below needs, a later “course correction” cannot deliver trained controllers in time to relieve near-term strain. When public services depend on long training pipelines, “lean” is not just a budget choice; it’s a risk posture.
Why the public only notices after something goes wrong
The compliance problem: when efficiency initiatives break rules and trust
The Guardian’s account of a DOJ court filing regarding allegedly improper access and sharing of sensitive Social Security data by DOGE staff illustrates what can happen when reformers treat governance as an obstacle. Even the perception of mishandling data can damage trust—especially for systems like Social Security that rely on public confidence.
Trust is a form of capacity
Efficiency reforms that produce a sense of chaos can also trigger a practical response: skilled employees leave. Contractors raise prices. Applicants stop applying. The system becomes more expensive precisely because it has been made less stable.
Efficiency vs. capability: what government is actually for
- Efficiency asks: How cheaply can a task be performed?
- Capability asks: Can the task be performed well, lawfully, repeatedly, and under stress?
Public agencies exist because certain functions need stability: collecting revenue, keeping aircraft separated, paying benefits correctly, enforcing rules consistently, responding to disasters, and adjudicating rights. If reforms treat these functions as cost centers rather than as risk managers, the public gets a state that is thinner but not necessarily better.
Efficiency vs. Capability
Before
- Efficiency — How cheaply can a task be performed?
After
- Capability — Can it be done well
- lawfully
- repeatedly
- and under stress?
The cost of losing institutional knowledge
- Knowing how statutes interact in edge cases
- Knowing how to catch fraud patterns without harassing legitimate users
- Knowing how to coordinate with other agencies under pressure
- Knowing where past reforms failed and why
Workforce reductions that appear “efficient” can be a transfer of costs from the present to the future. The bill comes due in backlogs, mistakes, and preventable crises.
A more adult version of efficiency: practical takeaways for reform that works
Here are practical principles implied by the evidence in the current debate:
Practical principles for efficiency that doesn’t break capability
- 1.1) Don’t treat headcount as the primary measure of waste
- 2.2) Match metrics to outcomes, not optics
- 3.3) Respect training pipelines and time-to-competence
- 4.4) Treat governance and data protections as core work
- 5.5) Make efficiency reforms legible in terms of service quality
1) Don’t treat headcount as the primary measure of waste
2) Match metrics to outcomes, not optics
3) Respect training pipelines and time-to-competence
4) Treat governance and data protections as core work
5) Make efficiency reforms legible in terms of service quality
A final political reality: DOGE has already become locally salient. Axios reported on Feb. 13, 2026 that a former federal contractor laid off amid DOGE-related disruption is running for mayor of Washington, D.C. That is what happens when “efficiency” stops being a talking point and starts being a lived experience.
The country doesn’t need a government that is merely cheaper. Americans need a government that works—especially when it’s hard.
Key Insight
Conclusion: Efficiency is not a synonym for competence
But “efficiency” becomes a problem when it turns into a moral credential that excuses disinvestment. DOGE’s promise—cuts and speed—will always sound clean. The real world is not clean. The real world has training pipelines, enforcement deterrence, safety margins, due process, and sensitive data.
The most dangerous reform is the one that improves the spreadsheet while degrading the system.
A government that cannot staff auditors, train controllers, protect Social Security data, or retain experienced professionals is not lean. It is brittle. And brittle systems don’t fail politely. They fail all at once.
Frequently Asked Questions
What is the Department of Government Efficiency (DOGE)?
DOGE is an initiative announced by President Trump framed around cutting regulations, reducing expenditures, and restructuring agencies. CBS News reported that DOGE’s work is expected to conclude no later than July 4, 2026. Supporters see it as a long-overdue push against waste; critics worry it prioritizes rapid cuts over service quality and legal safeguards.
Why can “efficiency” make government services worse?
Because efficiency efforts often target what’s easiest to measure—headcount, throughput, processing speed—rather than what matters most, like safety, fairness, and resilience. That dynamic is commonly described through Goodhart’s Law: when a measure becomes a target, it can stop reflecting real performance. The result can be better metrics but worse outcomes.
What do IRS staffing cuts have to do with efficiency?
CNBC/Reuters reported that by March 2025 the IRS workforce fell by more than 11,000 employees (11%), including the loss of 3,623 revenue agents—about 31%. Revenue agents generate collections and deterrence. Treating specialized enforcement staffing as “waste” can reduce capacity in ways that cost more than they save over time.
Why is air traffic control staffing a warning sign?
GAO reported that the FAA had 13,164 controllers at the end of FY2025—about 6% fewer than 2015—even as flights increased about 10% to 30.8 million (FY2015–FY2024). GAO also noted hiring and training can take 2–6 years, with medical clearance sometimes taking up to 2 years. Lean staffing in a safety-critical system can increase fragility.
How does remote work factor into government “efficiency” debates?
Some DOGE-adjacent ideas include rolling back telework to drive attrition. Forbes cited that about 1.1 million federal civilian workers (46%) qualify for some telework and roughly 228,000 (10%) are remote. The debate is less about where people sit and more about whether workplace rules are being used as a staffing-cut mechanism.
What would “smart efficiency” look like in practice?
Smart efficiency would protect capability while cutting genuine waste. That means aligning metrics with outcomes (not optics), respecting long training pipelines, and treating compliance and data safeguards as essential work. It also means judging reforms by whether services remain reliable—tax enforcement that deters evasion, air traffic control that maintains safety margins—not by whether an agency simply becomes smaller.















