Care to Wager Again? An Appraisal of Paul Ehrlich's Counterbet Offer to Julian Simon, Part 2: Critical Analysis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Objective This paper provides the first comprehensive assessment of the outcome of Paul Ehrlich's and Stephen Schneider's counteroffer (1995) to economist Julian Simon following Ehrlich's loss in the famous Ehrlich‐Simon wager on economic growth and the price of natural resources (1980‐1990). Our main conclusion in a previous article is that, for indicators that can be measured satisfactorily or can be inferred from proxies, the outcome favors Ehrlich‐Schneider in the first decade following their offer. This second article extends the timeline towards the present time period to examine the long‐term trends of each indicator and proxy, and assesses the reasons invoked by Simon to refuse the bet. Methods Literature review, data gathering, and critical assessment of the indicators and proxies suggested or implied by Ehrlich and Schneider. Critical assessment of Simon's reasons for rejecting the bet. Data gathering for his alternative indicators. Results For indicators that can be measured directly, the balance of the outcomes favors the Ehrlich‐Schneider claims for the initial ten‐year period. Extending the timeline and accounting for the measurement limitations or dubious relevance of many of their indicators, however, shifts the balance of the evidence towards Simon's perspective. Conclusion The fact that Ehrlich and Schneider's own choice of indicators yielded mixed results in the long run, coupled with the fact that Simon's preferred indicators of direct human welfare yielded largely favorable outcomes is, in our opinion, sufficient to claim that Simon's optimistic perspective was largely validated.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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 it