Community inputs
Scale the same transparent assumptions from a block to a region.
Local action, measured against physical reality.
Build an inspectable estimate for four local climate levers. Every factor is editable, every result is reproducible, and no scenario is presented as live data or a forecast.
Build a local carbon ledger.
Use adoption rates to model participation. Results are annual scenario estimates, not measured reductions.
Estimated annual avoided emissions
753.25
tCO2e per year
User-controlled scenario estimate. Not a live measurement, temperature forecast, or proof of a specific warming outcome.
Electricity + buildings
465.75
tCO2e/year across stationary energy levers
Transport + waste
287.50
tCO2e/year across mobility and materials
Participation signal
17.5%
mean adoption across all four actions
Every assumption is open.
Replace defaults with a local inventory or study. The math updates immediately and the export records what you used.
Compare credible pathways.
These presets change participation only. Use them as starting points, then edit the full ledger.
No comparisons saved yet.
Starter coalition
A feasible first campaign weighted toward electricity enrollment and waste diversion.
25%Electricity
10%Buildings
15%Transport
20%Waste
Balanced mobilization
A wider program that raises participation evenly while preserving transparent local assumptions.
45%Electricity
35%Buildings
40%Transport
45%Waste
Ambitious local push
A high-participation scenario for testing scale, capacity, and the assumptions that matter most.
75%Electricity
65%Buildings
70%Transport
75%Waste
Take the useful result with you.
The Markdown brief includes your scope, adoption rates, assumptions, per-lever results, total estimate, saved comparisons, formula, and caveat.