Why Kalshi Bettors Lose - 72 Million Trades Analyzed

Explore the behavioral patterns and systematic biases that cause prediction market traders to lose money through an analysis of Jonathan Becker's comprehensive research on over 72 million Kalshi trades. Examine the longshot bias phenomenon where bettors consistently overvalue low-probability events, and understand the crucial distinction between market makers and takers in prediction markets. Discover the "Yogi Berra Bias" that leads traders to make poor timing decisions based on the belief that outcomes remain uncertain until the very end. Learn about the optimism tax and default bias that systematically favor certain market positions, and analyze how emotional categories of events influence trading behavior differently than purely analytical markets. Investigate the role of black swan events and occasional longshot successes in reinforcing poor betting strategies, and understand the "Nothing Ever Happens" strategy as a contrarian approach to prediction market trading. Gain insights into the microstructure of wealth transfer in prediction markets and the psychological factors that drive consistent losses among retail traders.