Prediction Horizon Viability

Overview

This pillar assesses if a market's timeframe is short enough for analysis to remain relevant or so long that it becomes a pure gamble. It helps you distinguish between predictable events and long-shot futures where unforeseen events dominate.

What It Does

It models the natural decay of predictive accuracy over time. By analyzing a market's duration against the topic's historical volatility and the typical rate of new information, it calculates a 'viability score'. This score indicates the probability that your initial analysis will still be valid at the time of resolution.

Why It Matters

Many prediction markets have very long time horizons, making them susceptible to random future events that render early analysis useless. This pillar provides a crucial risk management layer, preventing you from locking up capital in markets where the outcome is more noise than signal.

How It Works

First, the pillar identifies the market's resolution date to determine its total duration. It then analyzes the subject's historical volatility and 'information velocity' from news and past market data. Using these inputs, it calculates a forecast half-life, which is the point where the initial analysis loses 50% of its predictive power. Finally, it flags markets whose duration significantly exceeds this half-life.

Methodology

A Horizon Viability Score (HVS) is calculated: HVS = (1 - (MarketDuration / (2 * ForecastHalfLife))) * 100. ForecastHalfLife is estimated from the topic's historical price volatility and the frequency of major news events. A score below 50 suggests the market's outcome is highly unpredictable from the current vantage point.

Edge & Advantage

It helps you avoid 'hope-based' long-term markets, preserving your capital for opportunities where rigorous analysis has a durable edge over time.

Key Indicators

• Forecast Half-Life

  high

  The estimated time until the initial analysis loses 50% of its predictive value.

• Horizon Viability Score

  high

  A 0-100 score indicating the likelihood that current analysis will remain relevant until market resolution.

• Information Velocity

  medium

  The frequency of significant news or events related to the market topic, which accelerates forecast decay.

Data Sources

• Prediction Market Archives

  Historical price data from similar resolved markets is used to model volatility and decay curves.

• GDELT Project / News APIs

  Provides global event and news frequency data to calculate Information Velocity for various topics.

Example Questions This Pillar Answers

• → Is the '2028 Presidential Election' market a reliable forecast or a long-term gamble today?
• → What is the forecast half-life for a market on a new tech product's adoption over 5 years?
• → Does this market's duration exceed its predictable horizon, suggesting I should avoid it for now?

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