Pairwise methods have been part of Ethereum’s public goods funding toolkit for years, and are well-adapted to social choice in environments of scarce attention, but their full potential has been limited by fragmented and partial applications.
This essay treats pairwise as a design paradigm for distributed capital allocation, connecting algorithm and pair selection with interface and audience development to form a coherent, end-to-end system.
The goal is to equip practitioners with a complete context for deploying pairwise methods effectively.
I have been working with pairwise methods for distributed governance since 2016; this essay reflects lessons learned across research and practice.
Feedback and discussion welcome.