Decay
A decrease where the rate is proportional to the amount remaining, fading toward zero.
At a glance
Key signals
0% cross fields · reaches 4 more
- Mathematics
- Physics
- Chemistry
- Explanation
- Examples
- Misconception
- Sourced relations
- 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.
System context
Radioactive decayis aDecayEstablished
radioactive decay is a kind of Decay.
Mechanism: Radioactive decay is the spontaneous, random breakdown of unstable atomic nuclei over time.
- University Physics (OpenStax) verifiedmoderate evidence
Structural role & consequence
Interpreted from the current atlas graph — what the connections mean, not just how many there are.
Currently dark in the atlas: no verified source · 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 → 15 → 46 concepts reachable within 3 hops.
structural · Structural reach — being reachable is not the same as being understood.
All 2 of its relationships stay within its own discipline — a field-specific concept in the current atlas.
structural · Structural graph analysis — not a claim of importance, causation or history.
cross-field
2 within-field, 0 cross-field
Strengths & constraints
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.
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?”
Compounding20 disciplines · 13 concepts
Entropy & irreversibility8 disciplines · 7 concepts
Concepts
shares a mental model · explicitly analogous
- Radioactive decayNuclear Engineering
shares a mental model · 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
Compounding
When each step's growth is added to the base so the next step grows too — producing accelerating, exponential change rather than a steady line.
Growth that feeds on itself starts slow and then surprises you.
Entropy & irreversibility
Left alone, systems drift toward their most probable, most spread-out states — giving processes a direction in time that is hard to reverse.
Ask why a process only runs one way. Order can grow locally only by exporting more disorder elsewhere — and it always costs energy.
- Connects 2 other ideas across 4 disciplines.
- A cross-disciplinary bridge — its connections reach into 4 other fields.
- Most of its connections are of the “Kind & structure” kind.
- It exercises 2 reusable thinking patterns.
Derived from the graph’s real structure — observations, not a score.
Sources
No primary source is attached to this concept yet. In a real deployment this would be required before publication.