Research Hub/Papers/How Much Time Do We Have Before Catastrophic Disclosure Occurs?
Peer-ReviewedOpen Access2025

How Much Time Do We Have Before Catastrophic Disclosure Occurs?

Matthew Szydagis

Limina: The Journal of UAP Studies

Summary

Particle physicist Matthew Szydagis (SUNY Albany) applies statistical modeling to estimate the timeline before 'catastrophic disclosure' - defined as accidental public revelation of conclusive non-human intelligence evidence outside institutional control. Using smartphone ownership rates and human population distribution, the model simulates scenarios involving a UAP incident in a densely populated area. Results project a mean disclosure timeline of approximately 2040 plus or minus 20 years under default assumptions. An unusual combination of hard science credentials with UAP disclosure policy analysis in a peer-reviewed venue.

Abstract

Claims about recovered crashed craft from non-human intelligences pervade popular culture and media. This article employs such claims to estimate the timeframe before 'catastrophic disclosure' - defined as accidental revelation of conclusive evidence of non-human intelligence existence outside human institutional control. The analysis examines a hypothetical scenario where an extraterrestrial spacecraft crashes in a major metropolitan area, considering Earth's human population distribution and smartphone ownership rates as statistical factors. Using a skeptical yet analytical approach, the author applies standard statistical distributions to quantify when smartphone imagery or video proof might become irrevocably public online. The simulations model various scenarios with different assumptions about likelihood. Results indicate that if non-human intelligence exists and possesses fallible technology, accidental catastrophic disclosure could occur relatively soon, with mean projections suggesting 2040 plus or minus 20 years under default assumptions.

Citation

Matthew Szydagis. (2025). Limina: The Journal of UAP Studies. DOI: 10.59661/001c.131700

https://doi.org/10.59661/001c.131700