Within Angular Motion

The missing distance behind UFO speed claims

Without a reliable distance estimate, the same screen motion can fit a nearby insect, a balloon, an aircraft or something still unresolved.

On this page

  • Why pixels per frame are not speed
  • Nearby small objects versus distant large objects
  • How AI should present speed ranges
Preview for The missing distance behind UFO speed claims

Introduction

A UFO video can appear to show impossible speed while revealing almost nothing about the object’s true motion through space. The missing piece is usually range: the distance between the camera and the object. Without that measurement, the same apparent movement across a screen can match a nearby insect drifting past a lens, a balloon moving with the wind, a distant aircraft, or something that remains unidentified after basic checks.

Range problem illustration 1 This range problem sits at the centre of modern AI-assisted UFO sighting investigation. Analysts can measure pixels per frame, track angular movement and estimate trajectories, but those calculations become highly uncertain when the object’s distance is unknown. NASA’s independent UAP study noted that current analysis is often limited by missing metadata, weak calibration and lack of multiple measurements. [NASA Science]science.nasa.govNASA ScienceIndependent Study Team ReportAt present, analysis of UAP data is hampered by poor sensor calibration, the lack of multiple me… That means dramatic-looking footage can produce wildly different speed estimates depending on the assumed distance.

The result is a recurring misunderstanding in public UFO discussions: viewers often treat apparent speed as proven speed when the underlying geometry is unresolved.

Why pixels per frame are not speed

A video records angular motion, not physical velocity. When an object crosses part of the image between frames, the camera only captures how quickly its apparent position changes relative to the field of view.

That movement can be measured in:

  • Pixels per frame
  • Degrees per second
  • Angular displacement across the sensor

None of those measurements automatically reveal real-world speed.

The reason is simple: physical speed depends on distance. A small nearby object can generate the same angular movement as a huge distant object travelling far faster. In optics and astronomy, this is a standard geometric problem tied to angular size and apparent motion. [Wikipedia]WikipediaAngular diameterAngular diameter

A familiar example helps illustrate the point. Move your hand quickly a few centimetres in front of your face and it sweeps dramatically across your vision. Meanwhile, an airliner travelling hundreds of miles per hour may crawl slowly across the horizon. The nearby object creates greater angular motion even though its real speed is tiny by comparison.

Many UFO clips trigger the same perceptual trap because viewers instinctively assume that the object is both large and distant. But the footage itself may not establish either assumption.

This becomes especially important in low-information recordings:

  • Night videos without visible landmarks
  • Infrared footage lacking depth cues
  • Smartphone clips with digital zoom
  • Videos where the object occupies only a few pixels
  • Clips without reliable metadata or lens calibration

NASA’s UAP report repeatedly stressed that poor calibration and missing sensor information make accurate reconstruction difficult. [NASA Science]science.nasa.govNASA ScienceIndependent Study Team ReportAt present, analysis of UAP data is hampered by poor sensor calibration, the lack of multiple me… [Wikisource]en.wikisource.orgPage:UAP Independent Study Teamwikisource.orgPage:UAP Independent Study Team - Final Report.pdf/512 Nov 2023 — At present, analysis of UAP data is hampered by poor sens…

Without range, even mathematically correct tracking can produce misleading conclusions.

Nearby small objects versus distant large objects

The same screen motion can fit radically different physical scenarios.

A tiny insect passing close to a night-vision camera may appear to accelerate violently across the frame. A balloon tens of kilometres away may appear almost stationary despite moving quickly with upper-level winds. A distant jet approaching directly toward the observer can seem motionless until it changes angle.

The ambiguity grows because cameras flatten depth. A two-dimensional image removes many of the visual cues humans normally use to judge distance, including stereoscopic depth, environmental scale and motion context.

The “small nearby” problem

One of the most common causes of exaggerated speed claims is the unnoticed nearby object.

Examples include:

  • Insects illuminated by infrared lights
  • Birds crossing close to a lens
  • Dust or pollen drifting through focus
  • Water droplets reflecting light
  • Small debris moving near airborne cameras

Because these objects are close, tiny movements produce large angular changes. On video, that can resemble high acceleration or abrupt directional change.

This issue appears regularly in security-camera footage and military infrared recordings alike. A close object may occupy only a few blurred pixels, preventing viewers from recognising its true scale.

AI systems analysing UFO footage therefore need to model near-field possibilities explicitly rather than assuming the object is distant.

The “large distant” assumption

Public discussion often moves in the opposite direction: viewers assume cinematic scale.

A bright point in the sky is mentally interpreted as:

  • Large
  • Far away
  • Travelling rapidly

But a single-camera recording may not justify any of those conclusions.

This is why two analysts can derive completely different speed estimates from the same clip. If one assumes an object is 50 metres away and another assumes it is 10 kilometres away, the implied velocity changes enormously.

The geometry itself does not choose between those interpretations.

The GoFast case and the danger of assumed distance

The US Navy “GoFast” video became one of the best-known modern examples of the range problem.

At first glance, the object appears to skim rapidly over the ocean surface at extraordinary speed. The visual impression is powerful because the targeting display and fast camera tracking create a sense of low-altitude motion over water.

Later technical analysis reached a different conclusion.

The All-domain Anomaly Resolution Office (AARO) concluded that the object’s apparent extreme speed resulted largely from motion parallax and viewing geometry rather than anomalous propulsion. [AARO]aaro.milGo Fast Case Resolution Card Methodology FinalAAROAARO GoFast Case Resolution6 Feb 2025 — The object's apparent high speed is attributable to motion parallax. Motion parallax is an op… [AARO]aaro.milThe faster the…Read more… The office estimated that the object was much farther away than many viewers assumed and likely moving at ordinary atmospheric speeds. Public discussion around the case frequently focused on the object’s inferred altitude and distance because those assumptions controlled the resulting speed estimate. [Reddit]reddit.comPentagon Releases AARO Report on 'Go Fast' VideoRedditPentagon Releases AARO Report on 'Go Fast' Video…February 13, 2025 — The report also estimates the object's speed to be between…Published: February 13, 2025 [Reddit]reddit.comWind speed at that altitude was 60 knots. Object moved in a relatively straight…Read more…

The important lesson is methodological rather than ideological.

The video looked extraordinary partly because viewers intuitively placed the object close to the ocean surface. Once the estimated range changed, the apparent velocity changed as well.

This does not automatically prove the object was mundane in every respect. It demonstrates something narrower but crucial: apparent screen motion alone could not establish extraordinary speed.

Range problem illustration 2

Why single-camera UFO footage struggles with distance

Human depth perception depends heavily on multiple viewpoints and environmental references. Most public UFO videos lack both.

A single camera looking into open sky has major limitations:

  • No stereoscopic depth
  • Few fixed landmarks
  • Limited scale references
  • Unknown lens distortion
  • Uncertain focal length
  • Compression artefacts
  • Missing telemetry

Even experienced observers can misjudge range under those conditions.

Military targeting systems add another complication because viewers often misunderstand the display itself. Infrared sensors, stabilisation systems and zoom optics can create apparent motion effects that differ from normal human vision.

Parallax is especially important. When the observer is moving rapidly, nearby and distant objects appear to shift differently relative to the background. A fast aircraft carrying the camera can therefore create the illusion that another object is moving dramatically even if its own motion is modest. AARO’s public explanations of the GoFast analysis specifically highlighted this effect. [AARO]aaro.milAARO HomeWelcome to the website for the All-domain Anomaly Resolution Office (AARO). Our team of experts leads the U.S. government's effo…

This is one reason AI-assisted workflows increasingly prioritise environmental reconstruction over visual impression alone.

How AI should present speed ranges

A responsible AI-assisted UFO investigation system should avoid presenting single-number speed estimates when range is uncertain.

Instead, it should produce conditional ranges tied to explicit assumptions.

For example:

Assumed distanceImplied speed5 metresSlow drifting object100 metresModerate airborne motion5 kilometresHigh aircraft-level speed20 kilometresPotentially extreme velocity

This approach communicates the real state of the evidence rather than hiding uncertainty behind a precise-looking figure.

Useful AI practices for range uncertainty

AI systems can improve UFO analysis by separating measured data from inferred assumptions.

Strong practice includes:

  • Distinguishing observed angular motion from inferred velocity
  • Displaying uncertainty bands rather than exact speeds
  • Flagging missing metadata automatically
  • Comparing motion profiles against birds, drones, balloons and aircraft
  • Checking local wind conditions at multiple altitudes
  • Reconstructing likely viewing geometry
  • Estimating lens field of view from device metadata
  • Searching for additional recordings from nearby witnesses

Multi-sensor correlation is particularly important. Radar, ADS-B aircraft data, satellite tracking and calibrated optical systems can sometimes constrain distance far better than a standalone video clip.

This is one reason scientific UAP projects increasingly focus on multimodal sensor systems rather than isolated eyewitness footage. Proposed observatory-style approaches combine optical, infrared and tracking data specifically to reduce ambiguity in object range and motion. [arXiv]arxiv.orgarXivThe Scientific Investigation of Unidentified Aerial Phenomena (UAP) Using Multimodal Ground-Based ObservatoriesMay 29, 2023…Published: May 29, 2023

Range problem illustration 3

What AI should not imply

AI-generated summaries can accidentally exaggerate UFO claims if they convert uncertain geometry into confident language.

Problematic phrasing includes:

  • “The object accelerated instantly”
  • “The craft travelled at hypersonic speed”
  • “The video proves impossible manoeuvres”

Those conclusions may depend entirely on unverified distance assumptions.

A more accurate framing is:

  • “The object displayed rapid angular motion”
  • “Estimated speed varies greatly depending on assumed range”
  • “Available footage does not independently establish distance”

That distinction may sound technical, but it changes the entire interpretation of a case.

The core lesson of the range problem

The range problem explains why UFO speed debates often become polarised even when viewers are watching the same footage.

One side may interpret the object as distant and extraordinary. Another may interpret it as nearby and ordinary. If the video cannot reliably establish distance, both interpretations may remain geometrically possible.

That does not mean all sightings are explained away. Some cases still remain unresolved after environmental checks, trajectory analysis and contextual investigation. But a credible investigation process must separate what is directly measured from what is inferred.

In UFO analysis, dramatic-looking motion is not the same thing as demonstrated extreme velocity. Until range is constrained with reliable evidence, speed claims remain highly uncertain.

Endnotes

  1. Source: science.nasa.gov
    Link: https://science.nasa.gov/wp-content/uploads/2023/09/uap-independent-study-team-final-report.pdf
    Source snippet

    NASA ScienceIndependent Study Team ReportAt present, analysis of UAP data is hampered by poor sensor calibration, the lack of multiple me...

  2. Source: nasa.gov
    Title: update nasa shares uap independent study report names director
    Link: https://www.nasa.gov/news-release/update-nasa-shares-uap-independent-study-report-names-director/
    Source snippet

    UPDATE: NASA Shares UAP Independent Study Report14 Sept 2023 — We found that NASA can help the whole-of-government UAP effort through sys...

  3. Source: Wikipedia
    Title: Angular diameter
    Link: https://en.wikipedia.org/wiki/Angular_diameter

  4. Source: en.wikisource.org
    Title: Page:UAP Independent Study Team
    Link: [https://en.wikisource.org/wiki/Page%3AUAP_Independent_Study_Team_-Final_Report.pdf/5](https://en.wikisource.org/wiki/Page%3AUAP_Independent_Study_Team-_Final_Report.pdf/5)
    Source snippet

    wikisource.orgPage:UAP Independent Study Team - Final Report.pdf/512 Nov 2023 — At present, analysis of UAP data is hampered by poor sens...

  5. Source: aaro.mil
    Title: Go Fast Case Resolution Card Methodology Final
    Link: https://www.aaro.mil/Portals/136/PDFs/case_resolution_reports/AARO_GoFast_Case_Resolution_Card_Methodology_Final.pdf
    Source snippet

    AAROAARO GoFast Case Resolution6 Feb 2025 — The object's apparent high speed is attributable to motion parallax. Motion parallax is an op...

  6. Source: aaro.mil
    Link: https://www.aaro.mil/Portals/136/PDFs/Information%20Papers/AARO_Effect_of_Forced_Perspective_and_Parallax_View_on_UAP_Observations_2024.pdf
    Source snippet

    The faster the...Read more...

  7. Source: reddit.com
    Title: Pentagon Releases AARO Report on ‘Go Fast’ Video
    Link: https://www.reddit.com/r/ufo/comments/1iooz44/pentagon_releases_aaro_report_on_go_fast_video/
    Source snippet

    RedditPentagon Releases AARO Report on 'Go Fast' Video...February 13, 2025 — The report also estimates the object's speed to be between...

    Published: February 13, 2025

  8. Source: reddit.com
    Link: https://www.reddit.com/r/UFOs/comments/1gv8xak/aaro_has_resolved_the_go_fast_uap/
    Source snippet

    Wind speed at that altitude was 60 knots. Object moved in a relatively straight...Read more...

  9. Source: arxiv.org
    Link: https://arxiv.org/abs/2305.18566
    Source snippet

    arXivThe Scientific Investigation of Unidentified Aerial Phenomena (UAP) Using Multimodal Ground-Based ObservatoriesMay 29, 2023...

    Published: May 29, 2023

  10. Source: arxiv.org
    Link: https://arxiv.org/abs/2411.07956

  11. Source: aaro.mil
    Link: https://www.aaro.mil/
    Source snippet

    AARO HomeWelcome to the website for the All-domain Anomaly Resolution Office (AARO). Our team of experts leads the U.S. government's effo...

  12. Source: space.com
    Title: sensor metadata, and the lack of baseline data,” the report states.Read more
    Link: https://www.space.com/nasa-ufo-uap-study-team-first-results-revealed
    Source snippet

    NASA UFO report finds no evidence of 'extraterrestrial...14 Sept 2023 — "At present, analysis of UAP data is hampered by poor sensor cal...

  13. Source: reddit.com
    Link: https://www.reddit.com/r/skeptic/comments/nzmkvc/gofast_ufo_analysis_yeah_no_probably_just_a/

  14. Source: reddit.com
    Link: https://www.reddit.com/r/UFOs/comments/16ik6x5/summary_of_nasa_unidentified_anomalous_phenomena/
    Source snippet

    SUMMARY OF NASA UNIDENTIFIED ANOMALOUS...- **Challenges in UAP Data Analysis**: Poor sensor calibration, lack of... sensor metadata, an...

  15. Source: en.wikisource.org
    Link: https://en.wikisource.org/wiki/NASA_Unidentified_Anomalous_Phenomena%3A_Independent_Study_Team_Report/Responses_to_Statement_of_Task
    Source snippet

    Unidentified Anomalous Phenomena: Independent...14 Oct 2023 — The panel notes that, at present, gathering data on UAP is hampered by sen...

  16. Source: Wikipedia
    Title: Pentagon UFO videos
    Link: https://en.wikipedia.org/wiki/Pentagon_UFO_videos
    Source snippet

    Pentagon UFO videosAnimation of the parallax effect, where a moving observer perceives differences in velocity between objects at vary...

  17. Source: ned.ipac.caltech.edu
    Title: Sahni4 5
    Link: https://ned.ipac.caltech.edu/level5/March02/Sahni/Sahni4_5.html
    Source snippet

    Angular size - redshift relation(47). where dA = a(t)r is the `angular-size distance'. Since 1 + z = a0 / a(t) one gets dA = dL(1 + z)-2...

Additional References

  1. Source: pbs.org
    Link: https://www.pbs.org/newshour/science/3-ways-scientists-use-math-to-help-debunk-ufo-videos
    Source snippet

    3 ways scientists use math to help debunk UFO videosSemeter helped analyze one particular video called "GO FAST," where an object seen an...

  2. Source: lco.global
    Link: https://lco.global/spacebook/sky/using-angles-describe-positions-and-apparent-sizes-objects/
    Source snippet

    Positions and Sizes of Cosmic ObjectsAstronomers use angular measure to describe the apparent size of an object in the night sky. An angl...

  3. Source: uww.edu
    Link: https://www.uww.edu/documents/colleges/cls/Departments/Psychology/Mccread_Moon_Illusions.pdf
    Source snippet

    The Moon Illusion ExplainedThat illusion illustrates the apparent distance theory if the two 'spheres' look the same angular size. The ot...

  4. Source: ufotransparency.com
    Link: https://ufotransparency.com/files/decade-2020s-aaro-gofast-case-resolution-2025-aaro-gofast-case-resolution-card-methodology-final
    Source snippet

    AARO Resolves Go Fast as Parallax, 2025, All-domain Anomaly...AARO's February 2025 case resolution concludes with high [confidence]({{ 'confidence/' | relative_url }}) that t...

    Published: February 2025

  5. Source: zhihu.com
    Link: https://www.zhihu.com/en/answer/3211845828

  6. Source: sciencedirect.com
    Title: Spheres of two apparent sizes (6° and 15° angular radius) were used.Read mo
    Link: https://www.sciencedirect.com/science/article/pii/S0042698902001207
    Source snippet

    Absolute distance perception during in-depth head...by CH Peh · 2002 · Cited by 37 — The subject can, thus, readily pick up the motion e...

  7. Source: youtube.com
    Link: https://www.youtube.com/watch?v=LZoYYTglSNY
    Source snippet

    Understanding Distances in Astronomy Through ParallaxDetermining the Distance Between the Earth and the Sun, and Proving the Earth is a S...

  8. Source: unexplained-mysteries.com
    Title: 384429 aaro publishes new analysis of famous go fast us navy ufo video
    Link: https://www.unexplained-mysteries.com/forum/topic/384429-aaro-publishes-new-analysis-of-famous-go-fast-us-navy-ufo-video/
    Source snippet

    AARO publishes new analysis of famous 'Go Fast' US Navy...12 Feb 2025 — "The object's apparent high speed is attributable to motion para...

  9. Source: nevadacurrent.com
    Title: nasa report finds no evidence that ufos are extraterrestrial
    Link: https://nevadacurrent.com/2023/09/18/nasa-report-finds-no-evidence-that-ufos-are-extraterrestrial/
    Source snippet

    18 Sept 2023 — Analysis of this data is “hampered by poor sensor calibration, the lack of multiple measurements, the lack of sensor metad...

  10. Source: thedebrief.org
    Title: nasas unidentified anomalous phenomena report key takeaways
    Link: https://thedebrief.org/nasas-unidentified-anomalous-phenomena-report-key-takeaways/
    Source snippet

    NASA's Unidentified Anomalous Phenomena Report14 Sept 2023 — “At present, analysis of UAP data is hampered by poor sensor calibration, th...

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