A Review of the Costs of Assault, Homicide, Mass Murder and Pedophilia with Implications for the Insurance Industry and the U.S. Roman Catholic Church: A Rationale for Using Computer Tests and Machine Learning Equations
Bibliographic record
Abstract
20 May 2021 U.S. dollar cost for assault = $33,773.52; homicide, $3,834,988.08, domestic terror, mass murder, spree-shooting, 3 dead, $11,504,964.24, pedophilia, $139,430.28. Over 85 years, domestic-terror, mass-murder, spree-shooter assaults cost = 1 to 5,000. $33,773.52 x 5,000 = $168,867,600; dead victims = from 1 to 1,000. $3,834,988.08 x 1,000 = $3,834,988,080. 1936-2021 U.S. insurance industry mass murder costs = [$2,416,042,490 (630 @ $3,834,988.08) + $6,327,730,332 (1,650 @ $3,834,988.08) + $105,474,702.96 (3,123 @ $33,773.52) = $8,849,247,525.36] + [insurance, tax-increases $11,504,021,782.97 ($8,849,247,525.36 x 1.3] =$20,353,269,317.93. Projecting 2021 to 2105 insurance industry no policy change (i.e., computer tests, machine learning equations), $40,706,538,616.66, 3,330 deaths, 6,246 injuries, 388 suicides. U.S. Roman Catholic Church pedophilia costs, 1986-2011, $2,486,898,000, payouts + lost-donations [($2,486,898,000.00 x 1.3) = $3,232,967,400 = $5,719,865,400 + 5,679 x 5 = 28,395 victims]. Projecting 2017 U.S. Church (2012-2037, 2038-2056, 2057-2082, 2083-2107), $5,719,865,400 x 5 = $28,599,327,000, 5,679 x 5 = 28,395 victims.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| 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".