Credibility and Incredulity in Milgram’s Obedience Experiments: A Reanalysis of an Unpublished Test
Bibliographic record
Abstract
This article analyzes variations in subject perceptions of pain in Milgram’s obedience experiments and their behavioral consequences. Based on an unpublished study by Milgram’s assistant, Taketo Murata, we report the relationship between the subjects’ belief that the learner was actually receiving painful electric shocks and their choice of shock level. This archival material indicates that in 18 of 23 variations of the experiment, the mean levels of shock for those who fully believed that they were inflicting pain were lower than for subjects who did not fully believe they were inflicting pain. These data suggest that the perception of pain inflated subject defiance and that subject skepticism inflated their obedience. This analysis revises our perception of the classical interpretation of the experiment and its putative relevance to the explanation of state atrocities, such as the Holocaust. It also raises the issue of dramaturgical credibility in experiments based on deception. The findings are discussed in the context of methodological questions about the reliability of Milgram’s questionnaire data and their broader theoretical relevance.
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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 | 0.014 | 0.094 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".