Progressivism in Action: A 2026 Check-In on What Making Progress Under Constraints Actually Looks Like
Articles preceding this one were not written to persuade readers toward a political identity. They were written to examine governing practice under real conditions.
No matter how you’re reading this – as the first, last or middle piece in our series on Real Progressive Governance – you can see LUD’s operational focus over hyperbole.
The articles preceding this one were not written to persuade readers toward a political identity. They were written to examine governing practice under real conditions.
Each piece focused on a specific place, a specific problem, and a specific set of constraints. Together, they form a deliberately uneven record. Some initiatives are further along than others. Some show clearer gains. Some expose limits that remain unresolved.
That unevenness is the point.
Lift Up Democracy is building a newsroom designed to study how political systems behave when they are asked to solve concrete problems rather than sway your ideological alignment. This requires attention to detail, tolerance for partial outcomes, and a willingness to learn from both progress and friction.
In this article, we put a metaphorical capstone on the series to make that method more explicit and visible.
The Machine, Not the Moment
Traditional political coverage often privileges moments. Elections, clashes, announcements, failures. What it rarely examines is machinery.
The approach taken in this series is different by design. Each article functions as a component study. The capstone functions as a systems view.
Rather than asking whether progressivism is good or bad in the abstract, the question here is narrower and more demanding: under what conditions does a progressive governing approach outperform available alternatives, and where does it fail.
Answering that requires pattern recognition across cases, not loyalty to any single outcome.
The Cases, Revisited as Data Points
Across the series, four governing environments were examined.
In Chicago’s 33rd Ward, mental health crisis response was reframed from enforcement to care. Progress was incremental, contested, and incomplete. Clinics were not fully restored overnight. Police were not instantly removed from every response. What changed was their trajectory. Staffing increased. Alternative response models moved from pilot to planning. Community feedback loops were embedded into policy design.
In Los Angeles, Care First redirected capital away from incarceration and toward prevention. Measure J did not abolish jails. It altered its budget structure. Over time, that change made non-carceral responses administratively viable rather than aspirational. The system did not resolve homelessness or violence. It did, however, reduce the reflexive reliance on punishment as the default tool.
In New York City, City for All forced tenant priorities into zoning negotiations historically dominated by developers. The result was not a housing revolution. It was leverage. Capital commitments were secured. Preservation and affordability were tied to growth. The crisis remains severe, but the terms of negotiation shifted.
In Minneapolis, zoning reform was treated as a sufficient solution to affordability. It was not. Supply increased modestly. Rents rose more slowly than in peer cities. Ownership structures remained unchanged. Displacement pressures persisted. The case illustrates the limits of technocratic reform when it avoids confronting capital dynamics.
None of these cases stands alone. Together, they begin to outline a pattern.
Locality Matters More Than Ideology
One consistent finding across cases is that some problems are irreducibly local.
Mental health crisis response, housing stability, and public safety depend on neighborhood context, service capacity, and institutional trust. Attempts to solve these issues through nationally standardized frameworks often fail because they misdiagnose the problem as ideological rather than operational.
Local empowerment does not guarantee success. It does, however, create feedback loops that allow systems to learn.
Where local actors had discretion and responsibility, outcomes improved more reliably. Where solutions were imported or treated as universal templates, friction increased.
This is not an argument against national policy. It is an argument for matching problem scale to governance scale.
History Is an Asset, Not an Obstacle
Another pattern is harder to confront. Many failures observed in contemporary policy are not new. They are repetitions.
Zoning reform has been attempted before. Public housing authorities have existed for decades. Non-police crisis response models have prior analogues. What often changes is not the solution, but the framing.
Too often, reform movements treat their context as unprecedented and their tools as novel. This creates a reinvention problem. Time is spent rediscovering constraints that were already documented. Political capital is burned relearning lessons that were previously learned at public expense.
The strongest cases in this series are those that drew, implicitly or explicitly, on historical patterns rather than dismissing them as outdated.
Batting Average as a Governing Metric
None of the initiatives examined achieved perfect outcomes. That standard is neither realistic nor useful.
A more appropriate metric is batting average. Are more people receiving appropriate care rather than punishment? Are fewer tenants being displaced relative to baseline trends? Are public dollars more closely aligned with prevention rather than remediation? Those are the questions we hope to dig into in this series and come away with evidence-based answers.
By that measure, progress is visible, though uneven.
This framing matters because it allows honest evaluation without collapsing into cynicism or boosterism. It accepts that systems improve gradually and sometimes regress. It treats governance as a continuous process rather than a campaign promise.
What Changed by Early 2026
Context does not stand still.
By early 2026, mayoral and executive environments will have shifted. New leadership in some cities has introduced uncertainty. Budget pressures have intensified. National political narratives have grown louder and less precise.
What remains consistent is the need for institutions that can evaluate policy without defaulting to spectacle.
The cases examined here have not been invalidated by changing leadership. Some face renewed resistance. Others may slow. That does not erase what has already been learned.
If anything, changing contexts increases the value of institutional memory.
Why This Kind of Reporting Exists
Lift Up Democracy is not attempting to replace activism, campaigns, or policy shops. Its role is narrower and more durable.
This newsroom is being built to observe governing systems as they operate, identify where methods succeed or fail, and present that information in a way that respects the reader’s intelligence.
The structure of this series reflects that purpose. Individual articles provide depth. The capstone provides synthesis. Together, they allow readers to form judgments grounded in evidence rather than impression.
This approach does not promise certainty. It promises clarity.
What This Means for You, the Readers
You don’t need to agree with every conclusion drawn here. You don’t need to adopt a single political identity. What you’re invited to do is something simpler and more demanding.
Pay attention to method. Notice where problems are diagnosed carefully. Notice where solutions rely on structure rather than symbolism. Notice where history is treated as a resource rather than an inconvenience.
Those habits of attention matter more than any single policy outcome.
A Closing Note on Seriousness
In an environment saturated with noise, seriousness is a competitive advantage.
The work presented in this series is incomplete by design. It will be updated, challenged, and refined as conditions change. That is how we can move forward with purpose, getting better with each iteration.
If Lift Up Democracy succeeds, it will not be because it predicted the future correctly. It will be because we’ve built a disciplined way to observe the present and adjust accordingly.
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