Predicting Quantum Random Events from Background Photon Density Two Days Previously: Implications for Virtual-to-Matter Determinism and Changing the Future
Bibliographic record
Abstract
Abstract. We tested the hypothesis that discrete energies from entropic-like processes immersed within background photon densities of ~10 -11 W·m -2 were coupled to the occurrence of changes in random events that lead to specific consequences about two days later. This latency was obtained from the ratio of the summed equivalent energies associated with a Bohr electron divided by the value for the fluctuation of background photon density within the likely area of the gap junctions mediating the electron tunneling. Hourly values for 30 days for background photon densities and deviations on random number generators involved lags between 0 and 72 hours. Multiple regression equations indicated that deviations from random number variations were only correlated with photon densities approximately 48 hr (2 days) previously. Convergent quantitative values were consistent with source energies from virtual particles at the level of entropic thresholds. The delay of approximately two days between the emergent energies that influence an event and the manifestation of the event in physical time or the specious present suggest that technology could be developed to predict or modify actual events in real time. Implications for causality and determinism are considered.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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".