Ethics
The branch of philosophy that examines what is morally right and wrong and how people ought to act.
A discipline is a lens, not an owner — the same idea can be viewed through many.
Concepts viewed through this lens
These numbers describe the current Thinking OS knowledge slice, not the whole field.
Disciplines it bridges to
Each bridge is built by ideas the two fields share, the thinking patterns that recur across both, and a representative relationship that shows how they connect.
Ethicsconnects toEconomics
Shared concepts
Shared thinking patterns
Why this bridge exists
Scarcity causes Trade-off — Scarcity forces trade-offs.
Explore this connection →Ethicsconnects toStatistics
Shared concepts
Shared thinking patterns
Why this bridge exists
Model bias is derived from Training data — A model's bias is largely inherited from skewed training data.
Explore this connection →Ethicsconnects toPublic Policy
Shared concepts
Shared thinking patterns
Why this bridge exists
Scarcity causes Trade-off — Scarcity forces trade-offs.
Explore this connection →Ethicsconnects toFinance
Shared concepts
Shared thinking patterns
Why this bridge exists
Diversification suppresses Risk — diversification relates to Risk.
Explore this connection →Ethicsconnects toMachine Learning
Shared concepts
Shared thinking patterns
Why this bridge exists
Model bias is derived from Training data — A model's bias is largely inherited from skewed training data.
Explore this connection →Ethicsconnects toBiology
Shared concepts
Shared thinking patterns
Ethicsconnects toBusiness
Shared concepts
Shared thinking patterns
Why this bridge exists
Optimization requires Trade-off — Optimization means choosing the best balance among trade-offs.
Explore this connection →Ethicsconnects toMathematics
Shared thinking patterns
Why this bridge exists
Interest influences Opportunity cost — Interest rates set the opportunity cost of money.
Explore this connection →
Field shape — representation health
52/100 overall · 5 concepts
The eight dimensions measure Thinking OS coverage of this field, not the quality or importance of the discipline.
What kind of structure is this field?
Interpreted from the current atlas — how this field is represented, not a judgement of the field.
Representation health 52/100 — sparse but reasonable. Strongest: cross-disciplinary, taxonomy. Thinnest: factual depth, foundations.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
91% of its relations reach into 33 other disciplines — an outward-facing field in the atlas.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Its 52 representation-health is above the 52 median of 70 similarly-sized disciplines (comparable by concept count).
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
20% of its concepts have a single connection (mean internal degree 0.8) — a fairly cohesive internal structure.
structural · Measures the current Thinking OS representation, not the quality or importance of the field.
Current atlas gaps: no dated concepts.
atlas representation · Measures the current Thinking OS representation, not the quality or importance of the field.
How this lens connects
The kinds of relationship that characterise this discipline lens in the current slice.
Coverage matrix
How these concepts distribute across domains and concept families — real counts, not a score.
Ideas that connect this discipline outward
Concepts viewed through this lens that reach disciplines it does not itself carry — concept-level bridges (distinct from the discipline-to-discipline bridges below).
- RiskreachesActuarial ScienceBusinessData ScienceEntrepreneurshipEnvironmental ScienceEpidemiologyEpistemologyMachine LearningMathematicsNetwork SciencePhotographyProbabilityPublic HealthToxicology
- Trade-offreachesBehavioral EconomicsData ScienceEcologyFinanceMachine LearningMathematical ModellingMicroeconomicsOptimizationStatisticsSustainability Science
- Opportunity costreachesBiologyBusinessDesignEngineeringMathematicsPolitical SciencePublic PolicySystems Engineering
- Model biasreachesComputer ScienceEconomicsFinanceMedicine
Mental models that recur here
Trade-offs ×3
When getting more of one thing means accepting less of another, because resources or constraints are limited.
Probability ×2
A way to reason about uncertainty by assigning each possible outcome a share of the whole, between impossible (0) and certain (1).
Cause and effect ×1
One thing genuinely bringing about another — as opposed to two things merely moving together. Establishing it needs a mechanism and controls, not just a pattern.
Constraints ×1
Limits that decide what is possible. Usually one binding constraint — the bottleneck — governs the outcome until it is relieved.
Learning journeys that use it
People represented in this atlas
People tagged with this lens who have a recorded contribution. Not exhaustive, and not a ranking.
- 5 concepts are viewed through this lens.
- 4 of them bridge into other disciplines.
- Its signature thinking pattern is “Trade-offs” (recurs in 3 concepts).
- The most common kind of connection here is “Teaching link”.
- It is most tightly linked to Economics.
Derived from the current graph structure — observations, not a judgement of the field.