Strategy: Probability of Necessity and Sufficiency (PNS/PS) — systematically evaluate whether each factor is necessary, sufficient, both, or neither for the conclusion.
Scanned 5/27/2026
Install via CLI
openskills install yogsoth-ai/de-anthropocentric-research-engine---
name: necessity-sufficiency
description: "Strategy: Probability of Necessity and Sufficiency (PNS/PS) — systematically evaluate whether each factor is necessary, sufficient, both, or neither for the conclusion."
type: strategy
used-by: [counterfactual-probing]
tactics: [causal-necessity-testing, systematic-factor-ablation]
---
# Necessity-Sufficiency Strategy
PNS/PS framework: classify each factor by its causal role — necessary, sufficient, both, or neither.
## Method
1. **causal-claim-extraction** identifies all causal claims
2. **factor-enumeration** lists candidate causes
3. **necessity-evaluation** tests: would conclusion fail WITHOUT this factor? (PN)
4. **sufficiency-evaluation** tests: would this factor ALONE produce conclusion? (PS)
5. **single-factor-removal** provides evidence for necessity judgments
6. **load-bearing-identification** classifies factors into quadrants
## Classification Quadrants
- **Necessary + Sufficient**: Load-bearing walls (removal collapses conclusion)
- **Necessary + Not Sufficient**: Required but not enough alone
- **Not Necessary + Sufficient**: Redundant paths to conclusion
- **Neither**: Decorative factors (safe to vary)
## Budget Table
| Parameter | S | M | L |
|---|---|---|---|
| Factors tested | 5 | 10 | 20 |
| Necessity evaluations | 3 | 6 | 12 |
| Sufficiency evaluations | 3 | 6 | 12 |
## Orchestration
```
causal-claim-extraction → factor-enumeration
→ [for each factor]:
necessity-evaluation (PN score)
+ sufficiency-evaluation (PS score)
+ single-factor-removal (supporting evidence)
→ load-bearing-identification (quadrant classification)
```
## Subagents
- causal-claim-extraction (claim identification)
- factor-enumeration (candidate listing)
- necessity-evaluation (PN scoring)
- sufficiency-evaluation (PS scoring)
- single-factor-removal (evidence generation)
- load-bearing-identification (classification)
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