Web Bot Prediction

Computer-based prediction system developed in 1997 by Clif High and George Ure, claimed to forecast future events by analyzing emotional language patterns in internet communications through web-crawling software. The system, also known as the “Half Past Human” project, allegedly processes millions of web pages to identify linguistic changes that supposedly precede significant events, based on the theory that humans unconsciously communicate advance knowledge of coming developments through subtle alterations in word choice and emotional expression.

The Web Bot’s methodology involves searching for specific emotionally charged terms and phrases across internet forums, blogs, and other text-based communications, then using proprietary algorithms to interpret these patterns as indicators of future occurrences. High and Ure claimed their system successfully predicted various events including the September 11 attacks, the 2004 Indian Ocean tsunami, and Hurricane Katrina, though these assertions are disputed by skeptics who note the predictions were either made after the events or were so vague as to apply to numerous possible outcomes.

The Web Bot gained widespread attention through appearances on the Coast to Coast AM radio program and through paid reports distributed to subscribers seeking advance warning of disasters, market crashes, and other significant events. However, the system’s track record includes numerous failed predictions, most notably its forecast of a catastrophic global event for December 2012 that would lead to dramatic Earth changes and social collapse, which did not occur.

Critics note that the Web Bot’s predictions consistently lack specificity regarding timing, location, and precise nature of alleged future events, allowing supporters to retroactively claim success for any remotely related occurrence. The system’s lack of published methodology, absence of statistical validation, and reliance on vague interpretive frameworks place it firmly within pseudoscientific prediction schemes that exploit human psychological tendencies to find patterns in random data while generating revenue through paid subscription services.