Findings · June 2026
A small number of operators, a large share of the harm
Concentration analysis across documented cases, and what it implies for how agencies prioritize.
When you review contractor fraud cases one at a time, each looks like bad luck. Reviewed together, a pattern shows up quickly: a limited number of operators account for a disproportionate share of the documented damage, and they tend to reappear.
The pattern
Repeat operators are recognizable by method rather than by name. The same structure shows up across otherwise unrelated cases:
- A large deposit collected early, well ahead of work performed.
- Work started quickly, then slowed, then stopped, with a steady supply of reasons.
- Subcontractors and suppliers left unpaid while the homeowner has already paid in full for that scope.
- A new business identity once the old one accumulates complaints.
Why identity changes matter
Much of the public-facing information a homeowner can check is organized around a business entity or a license. When the entity changes, the history does not follow in a way an ordinary person can see. A homeowner doing exactly the right due diligence can review a clean record that belongs to a brand-new shell while the operator behind it has a long trail.
What concentration implies for prioritization
If harm were evenly distributed, a complaint-by-complaint response would be a reasonable design. Because it is concentrated, the same effort produces very different returns depending on where it is aimed. Prioritizing by pattern — repeat conduct, unpaid subcontractor clusters, deposit-heavy structures, rapid entity turnover — reaches more households than processing files strictly in the order they arrive.
What we are asking for
Three things, none of which require new money: link related complaints so patterns are visible to the reviewer, follow the operator rather than the entity, and treat unpaid subcontractors as an early warning signal for homeowner harm rather than a separate category of dispute.
Limits of this analysis
Our case documentation comes from people who reached out to us or to partners. It is not a random sample and it will overrepresent serious cases. Concentration in a self-selected set is a reason to look harder, not a final measurement. We publish the caveat because the argument does not need overstatement to hold.
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