About Predictions Market Fans
Predictions Market Fans is an editorial publication covering prediction markets, forecasting, probabilistic analysis, and data-driven commentary.
What We Cover
Predictions Market Fans covers prediction markets, probabilistic forecasting, market sentiment analysis, and data-driven commentary across politics, economics, crypto, sports, and technology. We explain how markets price uncertainty, identify mispricings, and break down the mathematics behind prediction platforms.
Our Approach
Every article starts with data. We pull live information from Polymarket, Kalshi, Metaculus, and other platforms. We run the calculations ourselves and verify the numbers before publishing. If a strategy claims a 12% return, we show the backtest. If a market price implies a probability, we explain the conversion math.
We stress-test workflows rather than summarizing press releases. When we review a platform, we use it. When we write about a trading strategy, we model it. When we compare forecasting methods, we pull the calibration data.
Calibration Over Confidence
We track our accuracy. When we get something wrong, we say so and explain what we missed.
Show the Math
Every claim is backed by data. We pull live API data, run calculations, and show our work.
Editorial Independence
We don't accept sponsored content that compromises our analysis. Our readers come first.
Depth Over Speed
We publish fewer articles at higher quality. Every piece goes through rigorous fact-checking.
The Team

Ezekiel Njuguna
Editor-in-Chief
Senior content writer at the intersection of AI, finance, and digital media. Produces data-driven analysis across prediction markets, cryptocurrency trading, and forecasting methodology. His work pulls live API data and stress-tests real workflows rather than summarizing press releases.
James Chen
Crypto & Sentiment Editor
Crypto market analyst and behavioral economist who examines how narrative shapes price in emerging financial systems. He writes about sentiment analysis, market psychology, and the behavioral dynamics of digital asset markets.

Mary Ngaruiya
Political Markets Correspondent
Political economist and forecasting researcher whose work spans electoral probability, geopolitical risk, environmental studies and macro sentiment. She has contributed to academic journals on superforecasting and advises on scenario modeling for institutional research teams.