Aug 28, 2026 · 16 min · 10 segments
Two researchers have systematically analysed all 112 sensor videos released through the US government's PURSUE UAP programme — and their work raises a fundamental question about what those videos can…
On the 12th of August, researchers Jacob Heck, Misra and Ravi Koparapu published a scientific pre-print examining the 112 sensor videos released under PURSU, the Presidential Unsealing and Reporting System for UAPA Encounters.
A pre-print is the important wording here.
The paper is publicly available scientific work, but it has not yet gone through peer review.
So this isn't science has settled the Pentagon UFO videos.
It's two researchers presenting an analysis that can now itself be checked and challenged.
And what they did was surprisingly straightforward.
They went through all 112 videos and asked, what information do we actually have if we want to calculate the physical velocity of the object? Not how fast it seems to move across your screen, how fast it is actually moving through the real world.
Those are very different things.
So imagine looking out of a train window.
A fence post a few meters away flashes past almost instantly.
A distant hill barely seems to move at all.
Now the hill isn't traveling more slowly than the fence post.
Neither of them is moving.
What changes is the geometry between you, the object, and the background.
Military sensor footage has the same problem, only with considerably more expensive acronyms.
From a video, you can measure things such as how many pixels an object crosses in each frame.
But to turn that into a real speed, you need more.
You need to know the range, how far away the object is.
You need the movement of the aircraft carrying the sensor.
You need the angle between the object's movement and your line of sight.
And you need to understand the camera's field of view or angular scale.
Now, according to Hack, Misra and Koparapu, no video in the entire 112 video pursue collection contains the complete set.
They divided the footage by how the objects behave on screen.
43 clips show an object transitioning across the field of view.
33 show an object being tracked so the camera follows it and tries to keep it around the centre.
On the 12th of August, researchers Jacob Heck, Misra and Ravi Koparapu published a scientific pre-print examining the 112 sensor videos released under PURSU, the Presidential Unsealing and Reporting System for UAPA Encounters.
A pre-print is the important wording here.
The paper is publicly available scientific work, but it has not yet gone through peer review.
So this isn't science has settled the Pentagon UFO videos.
It's two researchers presenting an analysis that can now itself be checked and challenged.
And what they did was surprisingly straightforward.
They went through all 112 videos and asked, what information do we actually have if we want to calculate the physical velocity of the object? Not how fast it seems to move across your screen, how fast it is actually moving through the real world.
Those are very different things.
So imagine looking out of a train window.
A fence post a few meters away flashes past almost instantly.
A distant hill barely seems to move at all.
Now the hill isn't traveling more slowly than the fence post.
Neither of them is moving.
What changes is the geometry between you, the object, and the background.
Military sensor footage has the same problem, only with considerably more expensive acronyms.
From a video, you can measure things such as how many pixels an object crosses in each frame.
But to turn that into a real speed, you need more.
You need to know the range, how far away the object is.
You need the movement of the aircraft carrying the sensor.
You need the angle between the object's movement and your line of sight.
And you need to understand the camera's field of view or angular scale.
Now, according to Hack, Misra and Koparapu, no video in the entire 112 video pursue collection contains the complete set.
They divided the footage by how the objects behave on screen.
43 clips show an object transitioning across the field of view.
33 show an object being tracked so the camera follows it and tries to keep it around the centre.
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