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