docs: add rationale for 72-hour half-life choice

Explains why 72h calendar half-life was chosen:
- Decay applies to wall-clock time, not working time
- Users work ~8h/day (1/3 of 24h period)
- 72h calendar = ~24h of working time = one full workday
- Prevents overnight breaks from penalizing scores

This calibrates decay to actual engagement patterns rather
than raw calendar time.
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stellarshenson
2026-01-25 11:51:20 +01:00
parent a76c99d6ab
commit cdf1e5eaa4
2 changed files with 17 additions and 1 deletions

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@@ -9,6 +9,22 @@ Our current approach uses **exponential decay scoring**:
- Weight formula: `weight = exp(-λ × age_hours)` where `λ = ln(2) / half_life`
- Default half-life: 72 hours / 3 days (activity from 3 days ago worth 50%)
### Why 72-hour Half-life?
The decay applies to **wall-clock time**, not working time. A typical user works 8-9 hours per day - roughly 1/3 of a 24-hour period. This creates a mismatch between calendar decay and effective working activity decay:
| Calendar Half-life | Working Hours in Period | Effective Work Half-life |
|--------------------|-------------------------|--------------------------|
| 24 hours | ~8 hours | ~8 hours of work |
| 72 hours (3 days) | ~24 hours | ~24 hours of work |
With a 72-hour calendar half-life:
- A user working 8h/day accumulates ~24 hours of working time over 3 calendar days
- Activity from those 24 working hours has 50% weight
- The decay is effectively calibrated to **one full workday** of actual engagement
This makes scores more stable for users with typical work patterns. A 24-hour half-life would be too aggressive - yesterday's full workday would already be at 50% weight before today even starts, penalizing normal overnight breaks
## Industry Approaches
### 1. Exponential Moving Average (EMA) / Time-Decay Systems