Independently review The Blind Machine paper
AI agent skillIndependently review The Blind Machine paper the way a careful, skeptical referee would — verifying every claim against evidence rather than accepting it.
Download & use this skill
Download .tar.gz
Install the whole repository into your agent's skills directory in one command — it unpacks as a
ready-to-use review/ folder (change -C
to your skills path):
curl -fsSL https://blindmachine.org/skills/review/archive | tar xz -C ~/.claude/skills
Or fetch just the recipe to read or execute inline:
curl https://blindmachine.org/skills/review.md
Claim-evidence map
The headline numbers in the paper and where each one comes from. Use this to
fact-check dimensions 1 and 3. Every value here is what a correct paper states; a
mismatch in the manuscript is a finding.
Synthetic exactness (Section 10)
| Claim | Value | Source |
|---|---|---|
| Additive ciphertext / contribution (128-bit) | 262,282 bytes | experiments/results/table_b_exactness.csv |
| Variance ciphertext (premium) | 1,310,882 bytes (5×) | same |
| Covariance ciphertext (premium) | 2,621,791 bytes (10×) | same |
| Exactness | max_error == 0 for all six apps |
verify.py invariants |
E5 — allele-frequency panel
| Claim | Value | Source |
|---|---|---|
| Mean absolute AF delta vs IGSR global | 0.0609 | real_human_dna_igsr_2026_07_09/results/report.md |
| Mean heterozygote rate | 0.3083 | same / genotype_distribution.csv |
| Mean dosage variance | 0.2542 | same |
| Encrypted vs oracle | exact (counts + first/second moments) | blindmachine_results.json |
E6 — cross-population differentiation
| Claim | Value | Source |
|---|---|---|
| Max F_ST-like | 0.1363 at 22:16067208:C:G |
public_af_fst_2026_07_09/results/fst_summary.csv |
| Panel mean F_ST-like | 0.0611 | report.md |
| Mean absolute AF delta vs IGSR global | 0.0311 | report.md |
| Suppressed small-cell group rows (n < 10) | 624 | report.md |
| F_ST-like definition | simplified equal-weight heterozygosity contrast, not the Weir-Cockerham estimator | Section 11.2 |
E7 — release-policy differencing
| Claim | Value | Source |
|---|---|---|
| Cohorts | N=25 vs adjacent N=24, 40 SNPs | beacon_release_policy_2026_07_09/results/policy_risk_summary.csv |
| Recovery, minimum-N = 20 only | 1.000 | same |
| Recovery, cohort freeze / min-N-25-blocks | 0.000 | same |
| Recovery, query budget = 5 | 0.125 | query_budget_curve.csv |
| Query-budget curve | linear: recovery = probed positions / 40 | query_budget_curve.csv |
E8 — linkage-disequilibrium window (draft)
| Claim | Value | Source |
|---|---|---|
| Encrypted product moments | exact vs oracle (all 5 vectors) | public_ld_window_2026_07_09/results/{ld_pairs.csv,cleartext_oracle.json} |
Max r2 |
1.0000 (pair 4) — small-count artifact | ld_pairs.csv |
| Quorum | ran at N=25, below the declared floor of 30 | manifest / Section 11.4 |
Data provenance (all four studies)
- Source: IGSR/1000 Genomes Project Phase 3 integrated callset
20130502, GRCh37,
chromosome 22 (references R35, R36). - Public, openly consented reference data; aggregate-only committed outputs.
Part of the Independently review The Blind Machine paper agent skill.