Dropout Redistrib. & Kingmaker Effects
Predicting who wins when a candidate quits.
Overview
Analyzes the ripple effects when a candidate drops out of a political race, modeling how their support is redistributed. This is crucial for multi-candidate primaries where the field narrows over time.
What It Does
This pillar models the flow of voter support after a candidate exits a race. It primarily uses second-choice polling data to determine where a dropout's supporters are most likely to go. The analysis is refined by factoring in the ideological alignment between the dropout and remaining candidates, and the powerful influence of an official endorsement.
Why It Matters
A single dropout can completely reshape an election, turning a distant contender into a frontrunner overnight. This pillar quantifies that potential shift, providing a predictive edge over markets that only react to current first-choice polling data.
How It Works
First, it identifies candidates at high risk of dropping out based on low polling, poor fundraising, and negative media cycles. Next, it analyzes second-choice polling data for that candidate's supporters to create a baseline redistribution model. Finally, it adjusts the model based on ideological proximity and applies a 'Kingmaker' bonus to the candidate most likely to receive an endorsement.
Methodology
A 'Support Transfer Score' is calculated for each remaining candidate. This score is a weighted average of: 1) Second-choice preference percentage from recent polls (e.g., YouGov, Morning Consult) for the dropout's voters. 2) An Ideological Proximity Score (0-1) based on voting records and policy stances. 3) A 'Kingmaker Boost' modifier (e.g., +5% to +10%) applied to the likely endorsed candidate. The dropout's current vote share is then distributed among the remaining field according to these final scores.
Edge & Advantage
This provides a forward-looking view that anticipates market-moving events instead of just reacting to them. It models the dynamic shifts in race structure before they are fully priced in.
Key Indicators
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Second-Choice Polling Data
highPolls asking voters for their second preference, revealing the most likely destination for a dropout's supporters.
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Ideological Proximity
mediumMeasures the policy and political alignment between the dropout and remaining candidates.
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Endorsement Timing & Strength
mediumThe impact of a formal endorsement, which can sway a significant block of loyal voters.
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Donor Cross-Over
lowAnalysis of fundraising data to see which other candidates a dropout's donors also support.
Data Sources
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Polling firms that frequently include second-choice preference questions in their surveys.
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Provides polling aggregates and analysis of candidate ideological positions.
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Source for campaign finance data to analyze donor overlap and fundraising health.
Example Questions This Pillar Answers
- → Who will win the 2028 Republican Presidential Primary?
- → Will Candidate X's polling average increase by more than 5% the week after Candidate Y drops out?
- → Who will be the next leader of the UK Conservative Party?
Tags
Use Dropout Redistrib. & Kingmaker Effects on a real market
Run this analytical framework on any Polymarket or Kalshi event contract.
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