Risk
The chance and size of a bad outcome under uncertainty.
At a glance
Key signals
44% cross fields · reaches 14 more
- Economics
- Statistics
- Medicine
- Explanation
- Examples
- Misconception
- Sourced relations 3
- Attribution
Dependencies
What this concept builds on and what it makes possible — derived from the atlas’s dependency, causal and structural relations, not from every related edge.
Foundations · builds on
Riskdepends onProbabilityEstablished
Judging risk depends on probability.
Mechanism: Risk combines how likely a bad outcome is (its probability) with how bad it would be; you cannot weigh risk without reasoning about probability.
System context
Exposureis part ofRiskEstablished
exposure is part of risk.
Mechanism: Exposure is the link that turns a hazard into a risk.
- Biosafety in Microbiological and Biomedical Laboratories (BMBL), 6th ed. (2020) verifiedstrong evidence
- Wikipedia (English & German editions) verifiedmoderate evidence
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
Removing this node severs the only sampled structural route between Entrepreneurship and Risk assessment — a non-redundant bridge here.
structural · Structural removal simulation — not a historical or causal counterfactual.
44% of its relationships cross field boundaries, reaching 14 other disciplines — unusual in a discipline where most concepts stay within their field.
structural · Structural graph analysis — not a claim of importance, causation or history.
Currently dark in the atlas: no key date stored · 9 of 9 of its relations lack claim-level evidence.
atlas representation · Describes the current Thinking OS representation, not the state of the world.
Builds on 1 foundation (requires / depends-on / derived-from / emerges-from).
structural · Structural graph analysis — not a claim of importance, causation or history.
cross-field
5 within-field, 4 cross-field
Strengths & constraints
Strengths
- Cross-disciplinary connector — 44% of its relationships cross field boundaries. structural
Constraints
- Evidence coverage currently thin in the atlas — few of its relationships carry claim-level evidence. atlas representation
- Non-redundant bridge — removing it severs a sampled route between neighbouring clusters. structural
- No dated history stored — the atlas records no key date for this concept. atlas representation
Conditions
- Its dependency reading rests on 1 foundation relation. structural
- Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural
Dependency radial
What this concept builds on (left) and what it makes possible (right) — derived from dependency and causal relations.
Seen through each discipline
How this concept sits in each of its fields — derived from its real connections in the graph, not asserted.
Through this lens it connects to Probability, Correlation and Model bias.
Through this lens it connects to Actuarial science and Diversification.
Related ideas to explore
Concepts that look related but are not yet connected here — candidates for a connection to reason about, not established links.
This idea also appears in…
The same structure shows up in other disciplines. These are real recurrences drawn from the graph — a starting point for asking “what carries over, and what changes?”
Probability21 disciplines · 20 concepts
Trade-offs38 disciplines · 30 concepts
Source–pathway–receptor6 disciplines · 3 concepts
Concepts
shares a mental model · explicitly analogous
shares a mental model · crosses a discipline boundary
shares a mental model
shares a mental model
shares a mental model
shares a mental model
Mental models at work here
Probability
A way to reason about uncertainty by assigning each possible outcome a share of the whole, between impossible (0) and certain (1).
Instead of 'will it happen?', ask 'how often would it happen if this repeated many times?'
Trade-offs
When getting more of one thing means accepting less of another, because resources or constraints are limited.
Ask what you give up (the opportunity cost) to gain what you want.
Source–pathway–receptor
Harm reaches a target only when a source, a connecting pathway and an exposed receptor all exist; break any link and the harm does not arrive.
Don't ask only 'is it dangerous?' Trace it: where does it start, how does it travel, and what does it reach? A hazard with no pathway to a receptor is no risk.
- Connects 9 other ideas across 6 disciplines.
- A cross-disciplinary bridge — its connections reach into 14 other fields.
- Most of its connections are of the “Teaching link” kind.
- It exercises 3 reusable thinking patterns.
Derived from the graph’s real structure — observations, not a score.
Sources
- Risk Statistics (2014) verified
- Introduction to Risk Management (2022) verified