Can wealthy or organized groups dominate a priority-setting system?

Yes, a priority-setting system like My Vote Forward could be dominated by wealthy or well-organized groups if nothing prevents it, and the record of open public comment processes shows the risk is not hypothetical. The framework’s answers are partial: no paid placement, no pay-to-rank, no data sale, one account per verified person in any future official setting, and published methods that make unusual participation patterns visible. None of that separates legitimate organizing from domination, which remains a governance question rather than a technical one.

The objection in its strongest form

The objection holds that any open participation system becomes a contest of mobilization, and mobilization costs money and organization. Groups with staff, mailing lists, and budgets can turn out participants on demand; scattered individuals cannot. A system that publishes “collective priorities” would then publish the priorities of whoever organized best, labeled as the priorities of the public.

The strongest version adds two points. First, the most effective domination does not look like fraud. It looks like enthusiastic, real people who were recruited, briefed, and reminded by an interested party. Identity checks do not stop it, because every participant is genuine. Second, the people with the least time, the least money, and the least confidence in politics are the least likely to participate in any voluntary system. A framework that relies on opt-in participation could widen, not narrow, the gap between organized and unorganized citizens.

Why the objection matters

The objection matters for My Vote Forward because its public output is aggregate priorities. If those aggregates can be bought or mobilized, they become a tool for the groups that already have the most influence, and a new reason for others to distrust civic participation. A captured priority list is also hard to correct after the fact, because a published ranking travels further than the methods note beside it.

Defined terms

• Astroturfing: organized participation designed to look spontaneous or grassroots while concealing who funded or directed it.
• Mobilization: recruiting real people to take part, which is a normal part of democratic life.
• Fabricated participation: submissions under false or stolen identities.
• Pay-to-rank: any arrangement in which money changes where an item appears or how it is weighted. My Vote Forward rules it out.
• Participant versus constituent: a participant is someone who took part; a constituent is everyone in the population. See representation.

Evidence

Unequal influence on policy. In a 2014 study of 1,779 policy issues in the United States, Martin Gilens and Benjamin Page reported that “economic elites and organized groups representing business interests have substantial independent impacts” on policy, while “average citizens and mass-based interest groups have little or no independent influence”.⁠¹ The study is among the most cited findings on the subject, and it is contested. Peter Enns argued in 2015 that “even on those issues for which the preferences of the wealthy and those in the middle diverge, policy ends up about where we would expect if policymakers represented the middle class and ignored the affluent,” because the policies each group supports most tend to be the same.⁠² Enns also found that “substantial opportunity exists for unequal representation of strong partisan preferences”.⁠² The research result, then, is a live dispute about how much and through which channel, not a settled measure of domination.

Fabricated participation at scale. The clearest documented case of a public input process overwhelmed by organized submissions is the Federal Communications Commission’s 2017 net neutrality proceeding. A May 2021 report by the New York State Office of the Attorney General found “that fake comments accounted for nearly 18 million of the more than 22 million comments the FCC received” during that rulemaking.⁠³ The report found that broadband companies funded a campaign that “spent $4.2 million generating and submitting more than 8.5 million fake comments to the FCC” in favor of repeal.⁠³ It also found that a 19-year-old college student “who opposed the repeal of net neutrality was able to file over 7.7 million pro-neutrality comments” using fabricated identities.⁠³ Fabrication came from both sides of the issue. Both a funded campaign and a single individual with software could swamp the genuine record.

Opt-in samples attract problems. Pew Research Center’s 2026 methods report on bogus respondents in online opt-in polls screened an opt-in survey of 11,114 U.S. adults with several checks; 9,151 passed the trap questions.⁠⁴ The report is about commercial polling, but it shows that open, low-friction participation draws a measurable share of answers that fail basic quality checks.

How comparable systems have handled it

The FCC case shows what happens when a public input channel has neither identity verification nor any disclosure of who organized submissions: the record became unusable as evidence of public views.⁠³ The Attorney General’s report documented the fraud only years later.

Participatory programs have taken a different route by bounding the stakes. Reykjavík’s My Neighborhood program collects ideas from residents, reviews them, selects some for a ballot, and then “people vote for the best ideas,” with winning ideas becoming neighborhood projects the following year.⁠⁵ The design reasoning, which is an interpretation rather than a finding the city reports, is that a bounded local budget limits what outside mobilization can win, while local organizing remains part of the point.

Survey research handles the problem through disclosure. The American Association for Public Opinion Research requires researchers to “Name the sponsor of the research and the party(ies) who conducted it” and to state whether a sample comes from a probability-based frame.⁠⁶ Disclosure does not prevent influence; it lets readers see it.

Competing interpretations

One interpretation treats organized participation as democracy working. Unions, churches, business associations, advocacy groups, and neighborhood councils exist to aggregate the voices of people who could not be heard alone. On this view, a system that penalized organized participation would penalize the main way ordinary people gain influence, and the right response is transparency about who organized what, not suppression.

A second interpretation treats any participation system without a representative sample as structurally biased toward the organized and the affluent. On this view, only probability sampling or random selection, as in citizens’ assemblies, can produce a result that speaks for a population, and opt-in aggregates should never be presented as public priorities.

A third interpretation focuses on the evidence dispute itself. Readers who find Gilens and Page persuasive⁠¹ will see elite capture as the baseline any new system must overcome. Readers persuaded by Enns⁠² will see the baseline as less unequal than claimed, and will worry more about partisan mobilization than about wealth as such.

What the framework answers

My Vote Forward’s design rules respond to the most direct channels of money:

• No data sale, paid influence, pay-to-rank, candidate sponsorship, or campaign targeting (see governance and about).
• Results describe participants, state their denominators, and are never presented as a mandate (see measurement).
• Coordinated or insincere participation is treated as a measurement risk, and releases report where participation came from rather than silently reweighting it.
• In any future official setting, one account per verified eligible person, under the authority’s own identity rules (see identity and registration).

Hypothetical example. A demonstration exercise in a mid-sized city receives 4,000 priority rankings in two days after a single advocacy group emails its members, compared with 300 per day before. Under the framework’s rules, the release would show the timing spike, report results with and without that window where the groups are large enough, and say plainly that one organized effort shaped the total. It would not delete the participants, who are real, or pretend they were not organized.

Where the objection still wins

The objection wins on mobilization by real people. Identity checks stop fabricated accounts, not recruited participants, and the framework has no principled way to discount a genuine person because someone encouraged them to take part. It also wins on unequal participation: a voluntary system will overrepresent people with time and interest unless it uses sampling methods that the framework has not built. Finally, the framework has no evidence yet about how its own safeguards perform, because no real participant data has been collected.

Unresolved questions

• Should organized participation be disclosed by organizers, detected by the operator, or both?
• At what point, if any, should an operator flag a result as dominated by one campaign, and who decides?
• Could random-sample panels sit beside open participation to show how far the two diverge?
• How would a future official system keep mobilization rules consistent with election law in each jurisdiction?

Related

• Collective priorities
• Measurement
• Governance
• Who funds it?
• What if most people never participate?
• Hard questions