US Edition
Study Claims Airports May Be Revealing Earth to Aliens
UNITED STATES, JUL 13 – Radar signals from airports emit 2x10¹⁵ watts of electromagnetic energy detectable up to 200 light-years, potentially revealing Earth's location to extraterrestrial civilizations, researchers say.
- A study led by a team at the University of Manchester in 2025 found that radar systems used by airports and the military unintentionally emit signals into space that could reveal Earth's location to extraterrestrial observers.
- This occurred because radar from hubs like Heathrow and JFK emits powerful, patterned signals detectable up to 200 light-years away by advanced extraterrestrial telescopes.
- Lead researcher Ramiro Caisse Saide noted that these signals would look artificial from interstellar distances and can appear significantly amplified—by as much as two orders of magnitude—depending on the observer’s location in space.
- Co-Researcher Michael Garrett noted that understanding signal propagation helps protect radio communication and will aid designing future radar systems.
- Their findings suggest Earth has unknowingly signaled its existence for decades, supporting the scientific quest to answer 'Are we alone?' and guiding technology management.
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kreiszeitung.deReposted by 
mannheim24.de
mannheim24.deResearch at the University of Manchester shows how rays emitted daily from Earth could look from other places in space.
Earth’s Airports Are Basically Lighthouses for Aliens
According to researchers from the University of Manchester, for several decades now, we may have been accidentally blasting directions into space that aliens can follow to find us here on Earth, and these signals have been coming from an unlikely source: airports. New research out of the University of Manchester, led by astrophysics PhD candidate Ramiro Caisse Saide, shows that the electromagnetic noise from global airline and military radar is …
·New York, United States
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Total News Sources45
Leaning Left7Leaning Right8Center7Last UpdatedBias Distribution36% Right
Bias Distribution
- 36% of the sources lean Right
36% Right
L 32%
C 32%
R 36%
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