The Blind Machine

Independently review The Blind Machine paper the way a careful, skeptical referee would — verifying every claim against evidence rather than accepting it.

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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
review / references / claim-evidence-map.md

57 lines · 2.56 KB · sha256:37d1f7c3edc8…f77f40ab

# Claim-evidence mapThe headline numbers in the paper and where each one comes from. Use this tofact-check dimensions 1 and 3. Every value here is what a correct paper states; amismatch 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.

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