Results Report Review: r_dynamic_bma2
Report: results_report.md
Script: analysis.R (R)
Reviewed: 2026-04-01
Verdict: ACCEPT
The report accurately captures all script results with high-quality interpretations. All major numbers verified against execution_log.txt. Figure inventory is complete (7/7 PNGs). Eight well-differentiated key findings, seven interpretation paragraphs. Only minor issues found.
Accuracy Check
30 numbers cross-checked, 29 exact matches, 1 minor range approximation:
| # | Value in report | Source (execution_log.txt) | Match |
|---|---|---|---|
| 1 | pop PIP = 0.990 | line 196: pop 0.990 | Exact |
| 2 | lnlex PIP = 0.864 | line 200: lnlex 0.864 | Exact |
| 3 | R-squared = 0.988 | line 181: R-squared: 0.988 | Exact |
| 4 | Adj. R-squared = 0.983 | line 182 | Exact |
| 5 | N = 292 | line 183 | Exact |
| 6 | 6 of 10 significant | line 180 | Exact |
| 7 | Posterior model size = 6.908 | line 218 | Exact |
| 8 | sed %(+) = 69.922 → “69.9%” | line 194 | Correct rounding |
| 9 | Best model PMP = 0.089 | line 251 | Exact |
| 10 | pop PIP EMS=2 = 0.964 | line 281 | Exact |
| 11 | lnlex PIP EMS=2 = 0.637 | line 285 | Exact |
| 12 | ish PIP EMS=2 = 0.483 | line 278 | Exact |
| 13 | opem PIP EMS=2 = 0.468 | line 283 | Exact |
| 14 | gsh PIP EMS=2 = 0.459 | line 284 | Exact |
| 15 | pop PIP EMS=8 = 0.999 | line 299 | Exact |
| 16 | lnlex PIP EMS=8 = 0.981 | line 303 | Exact |
| 17 | pop PIP BB = 0.998 | line 209 | Exact |
| 18 | pop PIP dilution = 0.989 | line 317 | Exact |
| 19 | pop PIP dilution2 = 0.985 | line 338 | Exact |
| 20 | lnlex PIP dilution = 0.839 | line 322 | Exact |
| 21 | lnlex PIP dilution2 = 0.749 | line 342 | Exact |
| 22 | HCGHM pop-lnlex = 0.711 | line 356, col lnlex | Exact |
| 23 | HCGHM pop-ish = 0.530 | line 351, col pop | Exact |
| 24 | HCGHM pop-opem = 0.517 | line 356, col opem | Exact |
| 25 | LS pop-lnlex = 5.980 | line 367, col lnlex | Exact |
| 26 | DW pop-lnlex = 0.153 | line 379, col lnlex | Exact |
| 27 | Polity PMcon = -0.084 | line 201 | Exact |
| 28 | gsh %(+) = 30.859 → “30.9%” | line 199 | Correct rounding |
| 29 | “54% larger” (6.908 vs 4.5) | (6.908-4.5)/4.5 = 0.535 | Correct |
| 30 | HCGHM lower triangle “0.78–0.94” | actual min 0.744, max 0.944 | Approximate |
Issues Found
| # | Dimension | Severity | Location | Issue | Suggested fix |
|---|---|---|---|---|---|
| 1 | Accuracy | LOW | Jointness interpretation, last sentence | HCGHM lower triangle range stated as “0.78–0.94” but actual minimum is 0.744 (polity-ipr) and maximum is 0.944 (pop-lnlex) | Change to “0.74–0.94” |
| 2 | Completeness | LOW | Prior Sensitivity raw output | Presents summarized/selected PIP values rather than pasting full tables verbatim from the log. Values are accurate but departs from template convention of pasting actual output. | Acceptable given 5 full tables would be verbose; consider noting this is a summary |
| 3 | Figure descriptions | LOW | Figure 2 key takeaway | Says “credible intervals overlapping zero except population (positive) and democracy (negative)” but both intervals technically cross zero (pop: -0.011 to 0.249; polity: -0.149 to 0.035) | Rephrase to “population is substantially positive and democracy is substantially negative, while other variables’ intervals are more centered on zero” |
Positive Highlights
- Exceptional accuracy: 29 of 30 numbers verified exactly against execution_log.txt; the remaining one is a minor range approximation
- Strong interpretation quality: All 7 interpretation paragraphs meet at least 5 of 6 criteria (specific numbers, plain language, domain meaning, research connection, paragraph form, uncertainty flagging)
- Diverse key findings: 8 findings covering PIP robustness, model size, sign uncertainty, jointness, and prior sensitivity – no redundancy
- Excellent Surprises and Caveats section: Flags the model space consistency issue (precomputed vs. entity-demeaned data), education sign ambiguity, and the kitchen-sink vs. BMA divergence – all highly relevant for the blog post writer
- Complete figure inventory: All 7 PNGs documented with specific, accurate descriptions verified against the actual images
- Good domain contextualization: Interpretations consistently connect statistical results to economic growth theory (scale effects, human capital, democratic transition costs)
Priority Action Items
- [LOW] Jointness interpretation: change “0.78–0.94” to “0.74–0.94” for the HCGHM lower triangle range
- [LOW] Figure 2 takeaway: soften the “except” framing to acknowledge all intervals technically cross zero
- [LOW] Prior Sensitivity: optionally note the raw output is summarized for brevity
Carlos Mendez
Associate Professor of Development Economics
My research interests focus on the integration of development economics, spatial data science, and econometrics to better understand and inform the process of sustainable development across regions.