01
Hook
01 / 07

No sensor sees the truth

Radar, infrared and video show not “the object” but one measured quantity each. Confuse that, and you take tech effects for marvels.

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Research

No sensor sees the truth

This spine explains what radar, infrared and video each measure, where they deceive themselves, why several sensors together are so strong — and what the famous Navy videos actually show. It deepens the tech side of Why no better UFO images?.

AI illustration

02
Context
02 / 07

Three sensors, three worlds

Radar measures reflected radio waves, infrared measures heat, video measures visible light. The same object looks completely different in each.

What each sensor really measures
  1. Level 1

    Radar

    Sends radio waves and measures the echo — range and speed, but no shape.

  2. Level 2

    Infrared

    Measures heat, not light. A bright blob is heat — often larger than the object itself.

  3. Level 3

    Video

    Visible light, compressed and processed — with all the limits from the images topic.

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Research

Three sensors, three worlds

None of these sensors shows “the object” — each shows its own measured quantity. A hot spot in infrared can be a cool but strongly reflective target in radar. Only reading them together yields a picture.

Infographic: the same object in three sensor views — radar, infrared, video — with the outlook that a sensor is an interpretation and only several together make a picture.

Graphic illustration · KI-generiert (GPT-Image-2, From Beyond Space), faktengeprüft

Counterpoint
03 / 07

When the sensor deceives itself

Every sensor creates its own artifacts: radar ghosts, infrared glare, video distortion. They easily look like alien objects.

Three typical sensor artifacts
  1. Level 1

    Radar ghosts

    False echoes from weather layers, ground reflections or interference.

  2. Level 2· plus

    Infrared glare

    Bright heat sources flare; the shape is glare, not object.

  3. Level 3· and

    Video effects

    Compression, motion blur and parallax distort size and speed.

1 deeper
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Research

When the sensor deceives itself

These effects are known and reproducible. Whoever knows them recognises them again — and does not read every anomaly as something extraordinary.

Context

Radar ghosts

Radar can show objects that aren’t there: false echoes from temperature layers, ground reflections or interference.

Deeper
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Research

Radar ghosts

In “anomalous propagation” a temperature layer in the air bends the radar beam, so distant or ground-level objects appear as seemingly fast targets in the wrong place. A radar track alone is therefore only a start.

04
Context
04 / 07

Why several sensors together are strong

One sensor alone stays ambiguous. If radar, infrared and eyewitnesses independently show the same thing, the artifact of any single technology drops out.

From ambiguous to robust
One sensor
easily an artifact
Multi-channel case
independently confirmed

The more independent sensors show the same thing, the further right — and the harder to explain away.

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Research

Why several sensors together are strong

This is the core of any strong case assessment: multi-channel evidence. A glare does not also appear in radar; a radar ghost gives off no heat. That is why a multi-channel case sits at the top of the ladder in What counts as evidence?.

Counterpoint
05 / 07

The Navy videos: what the camera shows

The famous clips are genuine infrared recordings — but the very sensor effects explain much of what looks “impossible” in them.

2 deeper
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Research

The Navy videos: what the camera shows

The videos (released 2020) are authentic. Skeptical analyses such as Mick West’s on Metabunk attribute the “rotation” in the Gimbal clip to glare plus the camera gimbal, and the “racing” GoFast object to parallax. Confirmed genuine is precisely not confirmed extraordinary.

What is documentedconfirmed

Genuine infrared recordings from military cameras, officially released.

Where interpretation beginsdisputed

“Rotation” and “speed” are possible sensor effects (glare, parallax) — the objects stay unexplained.

Illustration: a grainy infrared camera frame with a crosshair and tracking brackets around a bright, blurry heat blob — in the style of a targeting camera, no readable text.
IllustrationIllustration – not evidence

KI-generiert (Seedream 4.5, From Beyond Space), Illustration

Uncertainty

The Gimbal dispute: rotation or glare?

In the Gimbal clip an object seems to rotate. Skeptics see a glare plus the camera gimbal — others disagree.

Deeperdisputed
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Research

The Gimbal dispute: rotation or glare?

Mick West argues the “rotation” arises from the rotation of the gimbal-mounted camera system, while the shape is an infrared glare. The debate is not conclusively settled — which is exactly what makes the case a model of “genuine, but disputed in interpretation.”

Context

GoFast: fast — or just close to the water?

The GoFast object looks blazingly fast. A calculation from the on-screen data suggests: rather slow, only apparently fast due to parallax.

Deeper
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Research

GoFast: fast — or just close to the water?

Because the jet’s camera is itself moving fast, a relatively slow object appears to streak across the water. From the values shown in the video the actual speed can be estimated — it is surprisingly low.

06
Claim
06 / 07

What a strong sensor case needs

Four things lift a recording above “interesting but ambiguous”: calibration, known optics, raw data and multiple sensors.

Four building blocks of sensor evidence
  1. 1

    Calibration

    The sensor is characterised — its errors and limits are known.

  2. 2

    Known optics

    Focal length, field of view and timing are documented.

  3. 3

    Raw data

    The unprocessed signal, before compression and filters step in.

  4. 4

    Multiple sensors

    Independent channels that confirm the same thing.

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Research

What a strong sensor case needs

That is exactly why scientific projects build fixed, calibrated sensor stations — instead of relying on chance clips. Who runs such instruments is shown in Who studies UFOs — without governments?.

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Open question
07 / 07

So: object or artifact?

Before “what was it?” always comes “what did the sensor measure — and what did it merely create?”. That reframes every recording.

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Research

So: object or artifact?

The honest answer to the guiding question: a single sensor never delivers certainty but a measured quantity with quirks. Whoever separates object from artifact stays calm at “impossible” videos — and recognises the truly strong multi-channel case when it comes.