New Jet Tracker Warns of Potential Global Crisis Based on Billionaire Flight Patterns
New Website Detects Apocalypse If Billionaire Jets Start Fleeing en Masse

Image: Futurism
Kyle McDonald, a programmer from Los Angeles, has launched the Apocalypse Early Warning System (AEWS), a website that tracks private jet activity to signal potential global crises. The system assigns a score based on unusual jet activity, which may indicate that billionaires are fleeing in anticipation of a disaster.
- 01The Apocalypse Early Warning System (AEWS) tracks private jet activity globally, comparing it to typical flight patterns.
- 02The system assigns scores from 1 to 5, with 5 indicating significantly higher jet activity than usual.
- 03A notable spike was recorded on April 6, coinciding with Iran's military actions against US and Israeli targets.
- 04Kyle McDonald previously developed tools that revealed hidden data, including LAPD helicopter tracking.
- 05The tool is not a definitive predictor of crises and should be interpreted alongside other public signals.
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Kyle McDonald, a programmer and artist from Los Angeles, has created the Apocalypse Early Warning System (AEWS), a website designed to monitor private jet activity as a potential indicator of impending global crises. The AEWS analyzes the number of jets in the air at any given time, comparing it to typical patterns to generate a score from 1 to 5. A score of 5 suggests an unusual spike in private jet activity, which could imply that billionaires are preparing to escape a looming disaster. McDonald emphasizes that while high scores may be alarming, they should be contextualized with other public signals, as spikes can also result from holidays or significant political events. The AEWS notably recorded its highest spike on April 6, coinciding with Iran's military retaliation against US and Israeli targets, prompting McDonald to express concern about the implications of such data. This innovative tool adds to McDonald’s portfolio of public information projects, which aim to unveil critical insights from complex data sets.
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