Infectious dose
The number of organisms needed to establish infection — exposure is not the same as disease.
At a glance
Key signals
50% cross fields · reaches 3 more
- Microbiology
- Epidemiology
- Explanation
- Examples
- Misconception
- Sourced relations 2
- Attribution
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
50% of its relationships cross field boundaries, reaching 3 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 · 2 of 2 of its relations lack claim-level evidence.
atlas representation · Describes the current Thinking OS representation, not the state of the world.
Exercises 2 annotated mental models — a concept that connects several thinking patterns.
curated · Curated annotations, not a derived measure.
Structural neighbourhood: 2 → 14 → 47 concepts reachable within 3 hops.
structural · Structural reach — being reachable is not the same as being understood.
cross-field
1 within-field, 1 cross-field
Strengths & constraints
Strengths
- Cross-disciplinary connector — 50% 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
- No dated history stored — the atlas records no key date for this concept. atlas representation
Conditions
- Read structurally — most of its relationships carry no external evidence yet, so claims here are graph-derived. structural
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 Infection.
Infectious dose is studied in this field.
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?”
Thresholds & tipping points23 disciplines · 18 concepts
Bayesian updating3 disciplines · 2 concepts
Concepts
explicitly analogous · crosses a discipline boundary
shares a mental model
shares a mental model
shares a mental model
shares a mental model
shares a mental model
Mental models at work here
Thresholds & tipping points
A level below which little happens and above which the behaviour changes sharply — sometimes irreversibly.
Some changes are gradual; others wait, then flip all at once.
Bayesian updating
A belief's strength should be revised by combining how likely it was beforehand (the prior) with how strongly new evidence bears on it.
A result doesn't speak alone — weigh it against how common the thing was to begin with. The same positive test means different things in a high- versus low-prevalence setting.
- Connects 2 other ideas across 2 disciplines.
- A cross-disciplinary bridge — its connections reach into 3 other fields.
- Most of its connections are of the “Analogy & transfer” kind.
- It exercises 2 reusable thinking patterns.
Derived from the graph’s real structure — observations, not a score.
Sources
- Wikipedia (English & German editions) verifiedmoderate evidence
- Microbiology (OpenStax) (2016) verification pendingmoderate evidence