── ── Cognitive bias
Zero-Sum Game
Zero-sum means total value is fixed — one player's gain is another's exact loss. Most real-world competition is NOT zero-sum: the pie can grow, shrink, or be split in many ways. Misdiagnosis sends strategy in the wrong direction from step one. The most consequential error is zero-sum bias: the tendency to perceive non-zero-sum situations as zero-sum.
How it works
Run the Zero-Sum Diagnosis. Five gates; confirm or rule out at each one.
1. Define the contested resource. State precisely what is being competed over (market share, license, price spread, votes, contract). If you cannot name a concrete unit being divided, the zero-sum frame likely does not apply. 2. Test fixity. Can innovation/technology expand the total? Can cooperation create additional value? Can time change the total? If any answer is "yes," the situation is non-zero-sum in that dimension. 3. Check for zero-sum bias. Are you perceiving zero-sum because the resource is countable? Anchored on relative position over absolute gains? Ignoring comparative advantage? If expansion is feasible, you are in the wrong game. 4. If confirmed zero-sum: apply minimax. Enumerate strategies and worst-case payoffs; choose the strategy maximizing your minimum; consider mixed strategies to prevent exploitation. 5. If confirmed non-zero-sum: design for cooperative surplus. Quantify value neither party gets under pure competition. Specify the mechanism (contract, JV, standard, platform) to capture it. Stop-rule: if you cannot identify a concrete pie-growth mechanism, revert to zero-sum analysis. 6. State the time horizon. Many situations are zero-sum short-term and non-zero-sum long-term. State both frames explicitly.
When to use it
- someone asks 'are we fighting over a fixed pie?', 'should we cooperate or compete?', 'is the market growing or are we just stealing share?', uses phrases like 'winner-take-all', 'race to the bottom', or 'your gain is my loss', or needs to check whether a negotiation/market/policy situation is truly zero-sum before designing strategy
When not to use it
When the decision is routine and reversible, applying a formal method costs more than it returns.
Worked example
Von Neumann and the Foundation of Zero-Sum Analysis — RAND, 1944–1950
The zero-sum framework did not originate as a business tool. It was developed to analyze nuclear deterrence.
Install this skill (free, MIT)
npx skills add deciqAI/knowledge-skills