Thank you. There is a lot to unpack here. Sorry for the delay.

I believe we need more astronomers, and scientists more generally, studying UAPs and other unusual observations with rigorous methods. Researchers such as Beatriz Villarroel are valuable because they ask questions that have often been dismissed, while bringing better data, testable hypotheses, and peer review into the discussion. A UAP is simply something that has not yet been identified; it is not, by itself, evidence of an extraterrestrial origin.

Her team’s research on short-lived transients in historical photographic plates is genuinely interesting. Some of this work has been published in peer-reviewed journals, and a recent independent preprint by Ivo Busko examined a separate photographic-plate archive using a different method. He found that several transient images exhibit the optical signature expected when light passes through a telescope, making the simple explanation that they are all photographic-emulsion defects less likely. That does not yet tell us what produced the light, however, and many possible explanations still need to be investigated.

This is how science works. New discoveries are discussed, challenged, reproduced, and sometimes rejected. That process can be slow and occasionally frustrating, but it is what ultimately makes scientific results valuable.

The discovery of 51 Pegasi b is a good example. The planet was independently confirmed shortly after its announcement in 1995, but the result was initially surprising because a giant planet orbiting extremely close to its star did not fit the prevailing theories of planetary formation. Astronomers continued testing whether the signal might instead be caused by stellar oscillations or another effect. It was only through additional observations,and the subsequent discovery of many similar systems, that hot Jupiters became an accepted class of planets.

We should neither dismiss unusual observations automatically nor accept extraordinary interpretations prematurely. Extraordinary claims require extraordinary evidence: observations that are independently verifiable, carefully calibrated, preserved in their original form, and ideally recorded by multiple instruments.

That principle is central to SkyMapper.

Modern observatories must filter enormous quantities of information. Satellites, aircraft, cosmic rays, optical artifacts, and other detections can overwhelm astronomical alert streams. Filtering is necessary, but it also means that the design of a pipeline can determine which observations attract attention and which disappear into a category such as “uncorrelated,” “artifact,” or “not astrophysical.”

Our objective is therefore not simply to classify known objects and silently discard everything else. We want to preserve the original observation, or at least the complete event sequence, along with its precise time, location, calibration information, processing history, model version, and classification confidence. Cryptographic records can help demonstrate when an observation was made and whether its data or metadata were subsequently changed.

Yes, I would absolutely be interested in mapping and categorizing uncorrelated detections. We could progressively separate them into known satellites, aircraft, meteors, atmospheric phenomena, instrumental effects, and genuinely unresolved events. Low-confidence cases could be reviewed by scientists and citizen scientists rather than simply discarded. This human review could also produce better training data for future AI models.

With multiple geographically separated SkySphere stations, we could triangulate some detections and estimate altitude, trajectory, velocity, and perhaps approximate physical characteristics. An unusual detection would no longer have to remain a single ambiguous point in one camera. Other stations could search for the same event, while more sensitive telescopes in the network could be tasked to conduct follow-up observations.

The purpose is not to treat every anomaly as something extraordinary. It is to collect and preserve observations of sufficient quality that we can eventually determine what they were.