Topographic Analysis of Landing Areas of Apollo Moon Missions
Bibliographic record
Abstract
The Apollo program was NASA’s (National Aeronautics and Space Administration) human spaceflight program, accomplishing landing of the first humans on the Moon from 1969 to 1972. Ever since there have been scientific and public questions about its legitimacy and claims that the associated Moon landings were staged by NASA and/or other organizations. In this paper we examine a number of the Apollo mission images through (i) a comparison with simulated views of Google Earth (Moon) and (ii) a photographic analysis of some of their features using Photoshop®. The functionality of latitude, longitude, elevation and elevation profile of Google Earth is addressed by means of a comparison with other available programs possessing the same features like NASA’s Moon Trek and Alcyone Lunar Calculator. The topographic analysis through Google Moon simulations indicate that the landscapes in Apollo mission images used were inaccurate presentations of reality and there are incorrect elevations and serious land feature omissions. Moreover, the Photoshop® analysis shows conclusively that images were staged, manipulated or altered.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".