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Method

How it works, in plain terms

What people do

Neighbors read one statement at a time and choose agree, disagree, or pass. Anyone in the Triangle can vote from a phone. In-person sessions add small-table conversations that go deeper than a vote can.

What organizers do

Organizers curate the seed statements, host the in-person tables, write up findings, and hand results to local officials. A human reviews every published summary.

What software does

Software records each vote as it is cast, groups similar answers to surface patterns, and renders live counts. Software never edits, invents, or paraphrases what a person said. Draft summaries are always reviewed by a person before publication.

Order of statements

Statements in the vote are ordered by how divided neighbors are on them — closest to a 50/50 split come first. Fatigue is real; if it hits, we want to have already captured where you stand on the questions that actually distinguish positions.

Bridge measure on results

The “Where people who disagree still agree” section splits participants into two halves based on how they voted on the single most divisive statement, then lists statements that draw high support in both halves. This is a simple approximation of the bridge measure Pol.is and vTaiwan use to surface consensus across camps. With a larger sample we will move to the full vote-vector clustering.

Civic audit of any AI output

When software generates a summary of what neighbors said, participants get to vote on whether that summary represents them fairly. Disclosure is passive; auditing is not. The affordance is built in — every published synthesis carries a “Does this represent what you said?” control, and the recorded agreement / disagreement is reported alongside the synthesis itself.
Draft synthesis — for your review
Example draft: “Across the first weeks of voting, neighbors most sharply divide on whether schools should limit AI on everyday schoolwork, while agreeing more broadly that children need to learn to tell true from false before they are given tools that can lie.”
Does this represent what you said?

This is a demonstration of the affordance, not a published finding.

Numbers we always publish alongside

Every result reports the number of votes, the number of distinct voters, and the number of verified participants — separately. Demographic breakdowns are published with the non-response rate for that field.

Open data and open code

Anyone can download the raw, de-identified vote data as CSV from the results page. The statement seed set, session materials, and analysis code will be published as they stabilize. Requests for the full audit trail: hello@carolinacommons.org.

Demonstration data

Until the round is officially launched, aggregate views include a set of clearly-marked synthetic participation, so the site can be evaluated as a working product. Every synthetic row carries a flag and is removed in a single operation before launch. Real votes are never mixed in with the synthetic sample.

Language

This first round is in English. We're looking for partners to run the next one in Spanish — if you can help, get in touch.