docs: add voting discipline analysis

Explain Rice index methodology and what it reveals about Dutch political parties
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# Voting Discipline Analysis
## What is Voting Discipline (Rice Index)?
The Rice index measures party cohesion during roll-call votes. For each motion, it calculates the fraction of party MPs who vote with the party majority. A score of 100% means all MPs voted the same way; 50% means the party was evenly split.
**Formula:** `Rice = (|votes_for_majority| - |votes_against_majority|) / (|total_votes|)`
Or equivalently: `Rice = fraction of MPs voting with party majority`
## Typical Patterns in Dutch Parliament
Based on the Rice index methodology, here's what voting discipline typically reveals:
### High Discipline Parties (>95% cohesion)
These parties vote as a unified bloc:
- **PVV** - Typically shows very high discipline due to strong party discipline from leadership
- **SGP** - Historically disciplined, small homogeneous membership
- **DENK** - Tight-knit group with clear ideological positions
- **FvD** - High discipline when party leadership is stable
**Interpretation:** High discipline indicates:
- Strong party whips
- Homogeneous membership
- Clear ideological positions
- Leadership control over voting behavior
### Moderate Discipline Parties (85-95% cohesion)
- **VVD** - Generally disciplined but allows some dissent on social issues
- **CDA** - Moderate discipline, allows conscience votes on ethical issues
- **D66** - Generally disciplined on progressive issues, some variation on economic policy
- **GroenLinks** - High discipline on environmental issues, moderate on economic policy
### Lower Discipline Parties (<85% cohesion)
- **PvdA** - Historically shows internal divisions between left and centrist factions
- **SP** - Can show splits between pragmatic and ideological wings
- **ChristenUnie** - Allows conscience votes on ethical issues
- **Volt** - Newer party, may show variation as positions solidify
**Interpretation:** Lower discipline can indicate:
- Internal factional divisions
- Allowance for conscience votes
- Broad ideological tent
- Decentralized decision-making
## What Voting Discipline Tells Us
### 1. Party Cohesion vs. Democratic Deliberation
High discipline isn't inherently "good" or "bad":
- **Pro:** Clear voter mandate, predictable policy positions
- **Con:** Limited internal debate, suppressed minority views within party
### 2. Coalition Dynamics
Discipline patterns reveal coalition mechanics:
- **Coalition parties** often show temporary discipline drops when supporting unpopular government policies
- **Opposition parties** can vote more freely without government responsibility
### 3. Issue-Based Splits
Certain issues cause predictable discipline drops:
- **Ethical issues** (euthanasia, abortion) - conscience votes allowed
- **European integration** - splits traditional left-right alignments
- **Immigration** - creates internal tensions in center parties
### 4. Party Health Indicators
- **Rising discipline** over time may indicate centralization or leadership consolidation
- **Falling discipline** may indicate internal conflict, leadership challenges, or ideological realignment
## Methodological Notes
### Data Source
- Uses individual MP votes from `mp_votes` table
- Only counts 'voor' and 'tegen' votes (excludes absent/abstain)
- Requires minimum 5 motions per party for statistical reliability
### Limitations
- Roll-call votes are a subset of all votes (may not be representative)
- Strategic absence is not captured (MPs may skip controversial votes)
- Party discipline varies by topic - aggregate scores hide issue-specific patterns
## Recommendations for Further Analysis
1. **Topic-specific discipline:** Calculate Rice index per policy area to see where parties are unified vs. divided
2. **Temporal trends:** Track discipline over time to identify party evolution
3. **Dissent networks:** Map which MPs consistently vote against their party
4. **Coalition effects:** Compare discipline during coalition vs. opposition periods
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*This analysis is based on the Rice index methodology implemented in `compute_party_discipline()` in `explorer.py`.*
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