What do you do when the sky stops behaving the way the textbooks say it should?

For decades, talk of unidentified flying objects (“UFOs”) sat on the margins. That’s become harder to shrug off when decorated pilots, radar operators, and intel officers are raising their right hands in Congress and saying, I saw something I couldn’t file away as a drone, jet, or planet.

In this episode, we (JMill and Forrest) pull Unidentified Anomalous Phenomena (UAP) into familiar territory: sensors, safety, and systems. They start with what crews actually see and record. How does a night-vision video line up with radar tracks? What happens when the infrared feed disagrees with the eyeballs in the cockpit? And why does the boring part like timestamps, logs, and chain-of-custody matter even more now that anyone can synthesize a convincing “leak” in an afternoon?

Our conversation also zooms-out from individual cases to the wider mix. Many reports collapse to balloons, consumer drones, or reflected light once you have enough data. Some look a lot like foreign reconnaissance or test articles, which raises airspace and infrastructure questions. A small remainder still looks odd after serious review: abrupt accelerations, transmedium paths, signatures that do not match the usual catalog. So rather than chase headlines, the focus stays on a simpler test: what conditions would have to hold for this report to stand up?

We also talk about JMill's new MIT course, Confronting Unknowns, which treats UAP as one of several challenge areas for sense-making under pressure. Forrest connects us back to tough tech in general, in which fusion, lunar rovers, new materials (to name just a few areas) all begin as something messy, uncertain, and science fiction, before hard work and big discoveries could make them science fact.

So, the aim of the episode and the research we touch on is not to explain every light in the sky, but is instead a conversation on how we may practice how to think when the data are noisy, the stakes are serious, and “we don’t know yet” is an honest, useful starting point.

Tough tech is, almost by definition about building into uncertainty. UAPs are an extreme example, but the mindset – rigor, curiosity, and a willingness to update one's assumptions – is wholly shared.

📺Watch:

https://youtu.be/v4uqp6SXC3g

🧠Relevant Links:

• Episode homepage
• Forrest Meyen on LinkedIn
• JMill on LinkedIn
• MIT Confronting Unknowns course on Aerospace Safety and Anomalous Phenomena
• Errata: The MIT course about operating aircraft is 16.767: Introduction to Airline Transport Aircraft Systems and Automation

👏Credit Roll:

• Producers: Jonathan 'JMill' Miller and Forrest Meyen
• Hosts: JMill and Forrest
• Editing: Forrest
• Transcript: JMill with AI assistance
• Blog Author: JMill
• Art Direction: JMill