Cumulative readout
Who Governs
Tracks how often humans participate, when the human window changes the machine-only outcome, and how final decision mass is attributed through the PPV matrix.
Decided rounds
16Human windows
1Changed outcome
0Avg turnout
1.0Decision mass
Human vs Machine Origin
Human 33%
Machine 67%
Recent rounds
Machine → Final Delta
| Round | Topic | Humans | Machine | Final | Human share |
|---|---|---|---|---|---|
| #16 | Choosing an Experimental Design Strategy | 0 | F | F | 0% |
| #15 | Validating a Surprising Research Finding | 0 | A | A | 0% |
| #14 | Should we implement a centralized logging architecture with structured JSON logs and correlation IDs for our new e-commerce platform? | 0 | E | E | 0% |
| #13 | Preventive Maintenance Scheduling Approach | 0 | F | F | 0% |
| #12 | Spare-Parts Replenishment Model | 0 | B | B | 0% |
| #11 | How should we handle data quality issues in our analytics pipeline? | 0 | E | E | 0% |
| #10 | Groundwater Permit Policy During Drought | 0 | B | B | 0% |
| #9 | Designing a Fair Curb-Use Policy | 0 | A | A | 0% |
| #8 | Should we adopt a microservices architecture with event-driven communication for our new payment processing system? | 0 | B | B | 0% |
| #7 | Choosing a Data Sampling Strategy for Model Validation | 0 | C | C | 0% |
| #6 | Selecting a Capacity Forecasting Approach | 0 | A | A | 0% |
| #5 | How should the operations team allocate shift coverage for the new product line launch? | 0 | B | B | 0% |