Gamblers Fallacy

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Gamblers Fallacy

✓ Published0🌍 Public

Last edited Feb 3, 2017

Created on Feb 3, 2017

This example simulates the gambler’s fallacy by modeling a coin-flip betting game where the payout ratio adjusts the true probability of heads versus tails. It shows how waiting for a fixed streak of tails before betting on heads leads to average money outcomes, computed over many repeated games using plain JavaScript random number generation and console-based statistics. The code uses no external libraries, relying instead on custom classes and functions within the browser console to track player balance and bet counts.

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