lev-os Half-Life
What: The time required for half of a quantity to decay or lose half its value—applies to radioactive decay, drug metabolism, information relevance, and any exponential decay process.
When to use: Modeling decay of knowledge, skill retention, technical debt accumulation, or any process where value/quantity declines exponentially over time.
Introduced by: Ernest Rutherford (1907) for radioactive decay; widely applied concept
Core Mechanism
Exponential decay formula: N(t) = N₀ × (1/2)^(t/t₁/₂)
Where:
- N(t) = remaining quantity at time t
- N₀ = initial quantity
- t₁/₂ = half-life period
Key insight: After one half-life, 50% remains. After two half-lives, 25% remains. Decay is exponential, not linear.
Execution Steps
1. Identify Decaying Quantity
What degrades over time? Knowledge, skills, relationships, documentation accuracy?
2. Measure Half-Life
How long until half the value is lost? Historical data or estimation.
3. Model Future Decay
Use half-life formula to predict future state.
4. Determine Refresh Cycle
How often must you refresh to maintain minimum threshold?
5. Design Decay Mitigation
Build reinforcement loops to counteract natural decay.
Real-World Applications
Documentation: Half-life ~6-12 months in fast-moving projects. After 2 years, <25% still accurate. Skills: Programming language knowledge half-life depends on ecosystem velocity (JavaScript ~2 years, SQL ~10 years) Relationships: Professional network half-life ~2-3 years without maintenance Cache: Data freshness half-life determines cache TTL
Scoring Criteria
Practitioner Weight: 9/10 — Rutherford's work empirically validated; widely used in physics, medicine, chemistry Clarity & Executability: 9/10 — Clear quantitative model; directly actionable Proven ROI: 8/10 — Enables nuclear medicine, carbon dating, cache strategies, learning models Novelty: 7/10 — Intuitive for physical decay; insightful when applied to information/skills Cross-Domain Applicability: 9/10 — Physics, medicine, software caching, knowledge management, skill development
Total Score: 42/50 (Tier 1: Canonical)