Draft for discussion with mycopunks — February 26, 2026
Basic Experiment Design
**Threshold-based Flow Funding is a potentially transformative framework that arose from the MycoFi movement. We’re excited about this vision and want to test it live.**
Each person in the network defines a minimum floor (what they need to do meaningful work) and a maximum ceiling (beyond which money automatically flows outward). The network self-distributes based on everyone’s forward flow allocations.
Proposal
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Two 3-month experiments
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Phase 1 (3 months) - start with a tiny number for a simple test - 10 people - 3 m
? can we raise funds for travel costs?
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Experiment phase 2 (3 months): 20-100 people (from 2-4 core communities / networks)
- $300K - $1M+ needed in philanthropic seed funding to start (~$3000 min income for experiment duration for everyone)
- take off the fixed values - make any cap just recommended
Guiding Question(s)
TBFF Phase 1:
3 months of mini-network flows
- 1 network
- 10 people
- fully visible flows?
- NO extending invitations (growth), no other holon types (networks or subnets)
Core research question: Does a network's collective allocation preference converge toward something coherent — or just reflect whoever set their thresholds highest?
- how do we ‘see’ coherence? what’s the baseline? what signals network coherence?
- is there a social signal we need for ‘resonance’ (ie - that action was cool!)?
- When community priorities and positional power diverge — does the system surface it?
- What's the half-life of the seed capital under live conditions? How can people see what their forward flows do?
- how does the network self-regulate?
- what are the UX signals and social norms needed for network health?
- What is the simplest viable math?
- does something in the maths need to regulate the max threshold to prevent massive accumulation?
- what can be done with or sensed based on the math or flow dynamics?
- global max limit? (such as $8K / m) OR dynamic recommended ‘healthy’ max based on network flows? (needs maths)
- how might the UX signal the risk to health with dynamic flows?
- how might we give visual feedback on network health
- as you set min/ max?
- as you set your forward flows?
- can/ should we have a governance flow with simple ‘buckets’ of governance?
- math, UX, social protocols?
- who sets network-wide parameters?
- who decides who decides?