Equity & Governance

Committee

Randomly select committee members weighted by work — sortition, not election.

The Committee page runs weighted random draws to select committee members. Access it at dash.workers.vc/o/[org-slug]/committee/.

A committee draw selects members at random weighted by work — more issued earnings means a higher chance of selection. Each draw is seeded and stores the exact weights used, so anyone can re-run the seed and confirm the same seats come out. Sortition, not election.

Running a draw

FieldDescription
SeatsNumber of committee seats to fill
Weight windowHow far back to look for work weight (e.g. All time, Trailing 12 months)
SeedAny text — the same seed + weights always reproduces the same draw

Click Draw committee to run the selection.

Latest draw

After running a draw, you see:

  • Draw number — e.g. #1
  • Config — seats, weight window, seed, timestamp
  • Selected committee — each seat shows the member name, role, and their weight at time of draw

Click Open + verify → to see full details.

Draw detail page

At dash.workers.vc/o/[org-slug]/committee/[draw-id]/ you see:

  • Draw info — seats, window, seed, timestamp, total weight in the pool, number of members
  • Selected committee — each seat with member name, role, and drawn weight

Audit & verify

Every draw stores its seed and the exact weight of every eligible member. Verifying re-runs the same seeded algorithm over those stored weights — a matching result proves the committee was drawn fairly and can be reproduced by anyone.

Click Re-run & verify to confirm the draw is valid.

Draw history

All past draws are listed with:

ColumnDescription
DRAWDraw number (link to detail)
SEATSNumber of seats filled
WINDOWWeight window used
SEEDSeed text
WHENTimestamp

How it works

  1. Each member's weight = their issued slices
  2. The draw uses a seeded random algorithm weighted by these slices
  3. More slices = higher chance of being selected
  4. The seed and weights are stored so anyone can verify the result
  5. This ensures fairness — selection is random but proportional to contribution