Revelation of the overlooked conceptual mistakes in the derivation of the Lorentz transformation factor
Bibliographic record
Abstract
The conceptual foundation of Einstein's theory for the derivation of the Lorentz transformation factor (LTF) has been subjected to a thorough examination both analytically and experimentally and there reveals a host of conceptual mistakes that the theory suffers from. The presumed temporal concept of the theory that the time of occurrence of an event measured in a moving frame (t′) should be different from that measured in a stationary frame (t) and the frame's velocity dependent temporal concept that the theory concludes have been conclusively proven to be conceptually incorrect ones. That the LTF theory suffers from a logical flaw—the fallacy of circular reasoning—is quite evident from the fact that what the theory concludes is the same as what it assumes. The experimental observation conclusively proves that t′ = t, that is, the time-measurement readings by all ideal clocks are exactly the same, irrespective of their state of motion. All the key equations involving t′ that Einstein deduced in his LTF theory have also been shown to be the incorrect ones. That the LTF was erroneously derived on the basis of faulty temporal concept has been conclusively proven in this article.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.035 |
| Scholarly communication | 0.005 | 0.014 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.015 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".