ExperimentSociety.org

Building institutions that learn.

Modern governments face a paradox. The problems they attempt to solve are increasingly complex, local, and uncertain. Yet public policy often remains centralized, slow-moving, and optimized around persuasion rather than learning.

The Experiment Society helps governments and communities adopt a different operating model: small experiments, transparent measurement, continuous learning, and local adaptation.

Experiment locally. Learn globally.Democracy discovers.

Core beliefs

  • Knowledge is local

    People closest to problems often possess information unavailable to centralized planners.

  • Variation is valuable

    Progress emerges from trying multiple approaches. Uniformity reduces learning.

  • Evidence should outrank ideology

    Political disagreement is unavoidable. Empirical feedback should narrow uncertainty.

  • Small experiments outperform large irreversible mistakes

    Change should begin small. Successful ideas should earn expansion.

  • Failure is information

    Negative results should be published. What did not work is as valuable as what did.

Not partisan

We do not advocate for specific policies or outcomes.

Not coercive

No one is assigned to a pilot without awareness. Opt-out is always available.

Not extractive

Findings are published publicly under CC-BY. Cities own their results.

Not paternalistic

Communities define what outcomes matter. We measure; we do not prescribe.

To improve public decision-making through ethical experimentation, measurement, and institutional learning.

ES is not a partisan policy organization. It does not tell communities what outcomes they must value. Its role is to help institutions ask better questions, design safer pilots, measure honestly, publish what was learned, and make local learning useful to others.

Read the founding document →What the evidence shows →

We are not building a research program. We are proposing an operating system.

Traditional evidence-based policy finds the best intervention and recommends it. That model produces good papers. It rarely produces learning institutions. The Experiment Society is building the infrastructure for governments to run experiments themselves — continuously, locally, and without waiting for academic intermediaries.

QuestionExternal Research ModelLaboratories of Democracy
GoalFind the best policyBuild learning institutions
OutputPublish studiesRun experiments
ScaleCentrallyAdapt locally
AnswerOne answerContinuous discovery
Who leadsExternal researchersCity practitioners
TimelineYears to publication90-day pilots

Four programs. One learning infrastructure.

ES supports municipalities, schools, agencies, and civic institutions in designing, running, measuring, and sharing policy experiments.

Program 1

Civic Experiment Sprints

90-day experiments with public institutions. Define a question, run a pilot, measure outcomes, publish findings.

Components

01Define question02Select intervention03Measure outcomes04Analyze results05Publish findings

Program 2

Public Experiment Registry

An open repository of every civic experiment — including null and negative results. Cumulative public knowledge.

Components

01Hypothesis02Design03Outcomes04Effect size05Replication status

Program 3

Municipal Fellows

Train local leaders in causal inference, experimentation, ethics, measurement, and decision science.

Components

01Causal inference02Experimentation03Ethics04Measurement05Decision science

Program 4

Evidence Commons

Shared infrastructure: experiment templates, dashboards, analysis tools, and implementation guides.

Components

01Experiment templates02Dashboards03Analysis tools04Implementation guides
View all programs →

A simple causal chain.

Condition

Institutions can experiment safely and transparently

Mechanism

They learn faster from evidence

Outcome

Better policy

Goal

Improved human flourishing

Six principles that guide the work.

01

Knowledge is local

People closest to problems often possess information unavailable to centralized planners.

02

Variation is valuable

Progress emerges from trying multiple approaches. Uniformity reduces learning.

03

Evidence should outrank ideology

Political disagreement is unavoidable. Empirical feedback should narrow uncertainty.

04

Small experiments outperform large irreversible mistakes

Change should begin small. Successful ideas should earn expansion.

05

Failure is information

Negative results should be published. What did not work is as valuable as what did.

06

Institutions should learn

Governments should improve not only outcomes but their ability to improve outcomes.

Start a pilot. Shape the model. Build what works.

We are looking for municipalities, civic institutions, and local leaders ready to run their first experiment. Phase 0 is open: one signed pilot, one public result.