Unveiling UFOs: Data Dynamics and Collaborations

This chapter explores the intricate process of data analysis within a long-term UFO project, highlighting the collaborative efforts with the startup Skywatcher. It discusses the classification of Unidentified Aerial Phenomena (UAP) and the behaviors of different UAP classes, particularly the complex formations of Class 1 and the individual nature of Class 2. The chapter also addresses the challenges of sharing data with government agencies and the potential implications of advanced technology and information withholding.

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In this explosive conversation, James Fowler takes us deep into the inner workings of Skywatcher—a pioneering tech company claiming nearly 100% success detecting UAPs (Unidentified Aerial Phenomena). With military-grade gear, cutting-edge AI, and a staggering track record, they’re documenting crafts the government won’t talk about—Tic Tacs, Manta Rays, even jellyfish-shaped anomalies in our skies.

Fowler breaks down the different classes of UAPs spotted during military war games, the classified physics that could explain their movement, and why the government is caught in a web of secrecy, control, and fear around disclosure.

We explore the involvement of psionic assets—humans with enhanced perception—and their shocking potential in initiating contact. The conversation pushes into the ethical implications of engaging with non-human intelligences and how private companies might be closer to first contact than we think.

This isn’t science fiction. This is happening now. Skywatcher isn’t just watching the skies—they’re pulling back the veil.

| Skywatcher |

YouTube ➤ ⁠⁠https://www.youtube.com/@SkywatcherHQ⁠⁠

Website ➤ ⁠⁠https://skywatcher.ai/⁠⁠

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