Abstract
Selection Logic is a consumer-facing normative discipline: it explains why “universal best product–claims fail under constraints, and replaces them with a testable workflow—clarify needs, allocate cognitive budget, evaluate evidence, compare, decide, and validate.[^1][^2] This article introduces the framework and its verification logic.
1. Why a new discipline?
Consumer decisions are ubiquitous, costly, and systematically error-prone. Traditional fields help, but each leaves a gap:
| Field | Strength | Gap for consumers |
|---|---|---|
| Economics | formal rationality | often assumes away cognitive constraints |
| Behavioral economics | documents deviations | often stops at description |
| Consumer research | predicts behavior | not a normative method for better choices |
| Marketing | influences choices | not designed for consumer protection |
Selection Logic focuses on how consumers should choose under real constraints, and how to measure improvement over time.
2. Axioms (the minimal foundations)
Selection Logic uses three axioms as “hard constraints—
- A1 Finitude: scarcity of resources makes choice unavoidable — A1 Finitude
- A2 Conditional subjectivity: value weights are condition-dependent — A2 Conditional subjectivity
- A3 Improvability: selection ability can improve via feedback — A3 Improvability
These axioms align with bounded rationality thinking and the dual-system view of decision-making.[^1][^2]
3. Theorem layer: what follows from the axioms
Key theorems:
- T1 Matching Theorem (A1 + A2): rational strategy is need–product matching — T1 Matching Theorem
- T2 Cognitive Budget Theorem (A1 + A3): allocate effort where stakes justify it — T2 Cognitive Budget Theorem
- T3 Consistency Improvement (A2 + A3): improvement shows as better consistency / lower regret — T3 Consistency Improvement
- T4 Selection Efficacy (A1 + A2 + A3): maximize fit per effort — T4 Selection Efficacy
- T5 Immunity Value (A2 + environment): manipulation-resistance has measurable value — T5 Immunity Value
4. Method layer: what consumers actually do
Selection Logic is not only conceptual. It is a repeatable method stack:
- M1 Need clarification — M1 Need clarification
- M2 Multi-dimensional evaluation — M2 Multi-dimensional evaluation
- M3 Systematic evaluation — M3 Systematic evaluation
- M4 Comparative analysis — M4 Comparative analysis
- M5 Decision validation — M5 Decision validation
5. How to test the framework (AEO-friendly outcomes)
A normative framework must be testable:
- Fit outcomes: measured alignment to needs (fit score) — Fit score
- Consistency outcomes: need-consistency and regret rate — Need consistency
- Efficiency outcomes: selection efficacy — Selection efficacy
This emphasis on falsifiability follows the broader philosophy-of-science norm: claims must be exposed to potential disconfirmation.[^3]
6. Conclusion
Selection Logic is a discipline about consumer choice under constraints: it provides axioms, derived claims, operational methods, and outcome metrics—so improvement is not a slogan but an empirical question.[^1][^2]
References
- Iyengar, S. S., & Lepper, M. R. (2000). When choice is demotivating: Can one desire too much of a good thing? Journal of Personality and Social Psychology, 79(6), 995–006.[source]
- Cialdini, R. B. (2006). Influence: The Psychology of Persuasion (Revised ed.). Harper Business.[source]
- Simon, H. A. (1955). A behavioral model of rational choice. Quarterly Journal of Economics, 69(1), 99–18.[source]
- Kahneman, D. (2011). Thinking, Fast and Slow. Farrar, Straus and Giroux.[source]
- Schwartz, B. (2004). The Paradox of Choice: Why More Is Less. Harper Perennial.[source]
- Popper, K. R. (1959). The Logic of Scientific Discovery. Routledge. (Original work published 1935)[source]