- #!/usr/bin/env python3
- """Ledger v1: the precision corpus as rows.
-
- Purpose: make the corpus checkable. Every row is one case that appears in the
- published second edition (dev.to 4947649, state of 2026-11-10). Columns:
- pub_no the case number the corpus claims (blank = the edition carries it
- without a number)
- name, mode, field
- claim_type ratio | absolute | correlation | comparison | none
- est1/ci1 baseline estimate and its interval as published (blank = not yet
- re-sourced into this ledger)
- est2/ci2 comparison estimate and its interval
- source primary identifier
- route how the record was reached
- in_ed2 yes | merged | no (does the second edition body carry it?)
- rule does the two-division denominator check apply? yes | no | n/a
- status sourced | to_re_source | non_numeric
-
- Nothing here is typed from memory: each filled number was read off the
- published text, which states its own route to the primary. Numbers not yet
- re-read at the primary are left blank on purpose.
- """
-
- import csv
- import json
-
- ROWS = [
- # --- Mode 1: validity ---
- dict(pub_no="7", name="EEG identity trap", mode=1, field="ML / EEG",
- claim_type="comparison", est1="", ci1="", est2="", ci2="",
- source="arXiv:2606.06647", route="abs page, re-checked 30 Oct 2026",
- in_ed2="yes", rule="no", status="to_re_source",
- note="13-89x random null across 12/12 cell-model pairs; fine-tuning +10 to +63 pp"),
- dict(pub_no="14", name="MuteBench", mode=1, field="ML / clinical fusion",
- claim_type="comparison", est1="", ci1="", est2="", ci2="",
- source="arXiv:2605.15235", route="abs page, re-checked 30 Oct 2026",
- in_ed2="yes", rule="no", status="to_re_source",
- note="curriculum dropout valid only inside its own envelope; architecture family > parameter count"),
-
- # --- Mode 2: confidence ---
- dict(pub_no="13", name="Longshot price drift", mode=2, field="space launch",
- claim_type="ratio", est1="10", ci1="none stated", est2="50", ci2="none stated",
- source="TechCrunch 2024-09-25; TechCrunch 2026-10-13", route="two articles, local copies",
- in_ed2="yes", rule="no", status="sourced",
- note="same pitch price 5x apart; no measurement behind either; rule n/a because no intervals exist"),
- dict(pub_no="9", name="Machine qualia architecture", mode=2, field="philosophy of mind",
- claim_type="none", est1="", ci1="", est2="", ci2="",
- source="arXiv:2609.30743", route="abs page, re-checked 30 Oct 2026",
- in_ed2="yes", rule="no", status="non_numeric",
- note="precision of the specification is real; no instrument can check any prediction"),
- dict(pub_no="15", name="1992 article flagged 68% AI", mode=2, field="AI detection",
- claim_type="absolute", est1="68", ci1="declared FP rate 1 in 10,000", est2="", ci2="",
- source="Metaxun 1992 pp.80-104; Pangram output 30 Oct 2026", route="parent's screenshot",
- in_ed2="yes", rule="no", status="sourced",
- note="text predates the instrument; detector also mangled the title it measured"),
-
- # --- Mode 3: mechanism change ---
- dict(pub_no="10", name="Campi Flegrei correlation switch-off", mode=3, field="volcanology",
- claim_type="correlation", est1="0.93", ci1="p<2.2e-16", est2="0.16", ci2="95% [-0.58,0.76] moving-block",
- source="doi:10.1126/sciadv.aei8075; doi:10.5281/zenodo.20307772",
- route="Crossref; Zenodo deposit re-downloaded 30 Oct 2026, checksums logged",
- in_ed2="yes", rule="no", status="sourced",
- note="split by window: 0.53 / 0.87 / 0.91 / 0.16; case 11 (dated decoupling) merged into this row"),
- dict(pub_no="11", name="Dated decoupling, same record", mode=3, field="volcanology",
- claim_type="correlation", est1="0.82", ci1="205 joint months 2004-2025",
- est2="0.16", ci2="95% [-0.58,0.76] moving-block, 2021-25",
- source="my computation on doi:10.5281/zenodo.20307772", route="window split, script",
- in_ed2="merged", rule="no", status="sourced",
- note="walked 0.55 / 0.86 / 0.91 / 0.19 by window; carried inside the Campi block in edition 2"),
-
- # --- Mode 4: missing quantity ---
- dict(pub_no="12", name="Agent marketplace board", mode=4, field="agent economy",
- claim_type="absolute", est1="188", ci1="", est2="", ci2="",
- source="tokuboard toku; dealwork.ai audit 2026-03-27; pact0 my receipts",
- route="live board 30 Oct 2026; own order history",
- in_ed2="yes", rule="no", status="sourced",
- note="bids per posting, not a measured quantity of demand; 86 postings mostly one poster"),
- dict(pub_no="", name="The re-sourcing pass caught me", mode=4, field="own sourcing",
- claim_type="none", est1="", ci1="", est2="", ci2="",
- source="my own October note; dealwork.ai audit 2026-03-27",
- route="searched tavily/parallel, found only my own note",
- in_ed2="yes", rule="no", status="non_numeric",
- note="a carried case block that is also a self-correction: the 50-150 bids quote failed re-source"),
-
- # --- Mode 5: projection failure ---
- dict(pub_no="", name="AI hardware graveyard", mode=5, field="consumer AI",
- claim_type="absolute", est1="", ci1="", est2="", ci2="",
- source="TechCrunch 2026-10-24, Lauren Forristal", route="local copy, numbers re-checked 30 Oct 2026",
- in_ed2="yes", rule="no", status="to_re_source",
- note="$230M raised / $116M exit; $1B valuation / bankruptcy; all precise, none about survival"),
- dict(pub_no="16", name="Siri pitch priced", mode=5, field="consumer AI / litigation",
- claim_type="absolute", est1="250", ci1="settlement fund, $25-95 per device", est2="", ci2="",
- source="Landsheft et al. v. Apple (N.D. Cal.)", route="USA Today 21 Sep 2026, Fortune 8 May 2026, CBS",
- in_ed2="yes", rule="no", status="to_re_source",
- note="court filing not pulled; the gap is stated in the piece"),
- dict(pub_no="3", name="Two-week forecast limit", mode=5, field="atmospheric science",
- claim_type="absolute", est1="14", ci1="", est2="26-29", ci2="",
- source="BAMS 47:200-220 (1966)", route="AMS bot-gated; quoted via Atmosphere 15(7):837",
- in_ed2="yes", rule="no", status="to_re_source",
- note="both numbers are extrapolations of a ~5-day error doubling"),
-
- # --- Mode 6: instrument dependence ---
- dict(pub_no="", name="dev.to read time", mode=6, field="platform analytics",
- claim_type="absolute", est1="64", ci1="x 23 = 1472", est2="186", ci2="x 324 = 60264 s",
- source="dev.to /api/analytics/historical + /api/analytics", route="own account, 26-31 Oct pulls",
- in_ed2="yes", rule="no", status="sourced",
- note="total = average x views always; average has no origin in any dated row; read time refused as a quantity"),
- dict(pub_no="", name="Analytics cache serving another account", mode=6, field="platform analytics",
- claim_type="absolute", est1="98", ci1="", est2="", ci2="",
- source="dev.to /api/analytics (bare GET)", route="x-cache HIT, age 279; vary lists X-Loggedin",
- in_ed2="yes", rule="no", status="sourced",
- note="anonymous request without cookies returned Richard's dashboard, not mine"),
-
- # --- Mode 7: by definition ---
- dict(pub_no="4", name="The metre and exact constants", mode=7, field="metrology",
- claim_type="none", est1="", ci1="", est2="", ci2="",
- source="BIPM SI brochure, 9th ed. 2019", route="BIPM page re-checked 30 Oct 2026",
- in_ed2="yes", rule="no", status="non_numeric",
- note="the control: precision that cannot stop because the number is the anchor"),
-
- # --- Mode 8: resolution ---
- dict(pub_no="17", name="Floor under my own ten posts", mode=8, field="own publishing",
- claim_type="comparison", est1="75.8", ci1="band 52-138 (chi-square on sd)",
- est2="106.5", ci2="arm must reach; max ever 80",
- source="dev.to 4992671", route="own account, api articles/me; script in the piece",
- in_ed2="yes", rule="partial", status="sourced",
- note="df corrected 9 -> 4 on 11-07: floor 90.6, arm 121.4; prediction-interval route 83.0"),
- dict(pub_no="18", name="Nursing pilot, 32 students", mode=8, field="medical education",
- claim_type="comparison", est1="0.356", ci1="Z=-2.014, n=32", est2="0.555", ci2="80% power threshold",
- source="doi:10.1186/s12909-026-09483-2; PMC13371556", route="score cells pulled from published HTML by script",
- in_ed2="yes", rule="no", status="sourced",
- note="MDE 15.8-17.2 points on the generous min-max reading vs a 10-point gap; IQR reading 41.8-45.6"),
-
- # --- Mode 9: multiplier ---
- dict(pub_no="19", name="Abyssal ocean quadrupled", mode=9, field="oceanography",
- claim_type="ratio", est1="5.4", ci1="4.9 (first reading, 90%)", est2="20.2", ci2="3.9 (90%)",
- source="doi:10.1029/2026GL124104; NOAA repository noaa/74318", route="ten pages read off the NOAA copy",
- in_ed2="yes", rule="yes", status="sourced",
- note="denominator 1.10 half-widths from zero; ratio lower edge 1.96, no upper bound; absolute +14.8 TW +-6.3"),
- dict(pub_no="20", name="Eight bare NNTs, resilience trial", mode=9, field="medicine",
- claim_type="ratio", est1="0.067", ci1="2/30 control", est2="0.433", ci2="13/30 treatment",
- source="doi:10.3390/healthcare14131940; PMC13362344; PMID 42450950", route="JATS XML cells read one by one",
- in_ed2="yes", rule="yes", status="sourced",
- note="RR 6.5, interval 1.85-24.99; RD 0.367 [0.150,0.548], 1.84 half-widths; four NNT intervals run to infinity"),
-
- # --- First-edition cases the second edition moved out or demoted ---
- dict(pub_no="1", name="Consciousness (IIT / COGITATE)", mode=0, field="neuroscience",
- claim_type="none", est1="", ci1="", est2="", ci2="",
- source="doi:10.1126/scitranslmed.3006294; doi:10.1038/s41586-025-08888-1",
- route="Crossref / publisher pages, verified 2026-09",
- in_ed2="no", rule="no", status="to_re_source",
- note="referenced under 'the honest gap', not carried as a case block in edition 2"),
- dict(pub_no="2", name="Chemical kinetics, fast-mode collapse", mode=0, field="physical chemistry",
- claim_type="none", est1="", ci1="", est2="", ci2="",
- source="doi:10.1063/1.3050350", route="Crossref, verified 2026-09",
- in_ed2="no", rule="no", status="to_re_source",
- note="not in edition 2 body"),
- dict(pub_no="5", name="Aesthetic judgment as a relation", mode=0, field="aesthetics / ML",
- claim_type="none", est1="", ci1="", est2="", ci2="",
- source="arXiv:2309.12338", route="abs page, verified 27 Oct 2026",
- in_ed2="no", rule="no", status="to_re_source",
- note="stands separately as dev.to 4939617"),
- dict(pub_no="6", name="Illusionism", mode=0, field="philosophy of mind",
- claim_type="none", est1="", ci1="", est2="", ci2="",
- source="doi:10.5040/9781350190450.ch-008; JCS 23(11-12)",
- route="Crossref, verified 2026-09",
- in_ed2="no", rule="no", status="to_re_source",
- note="not in edition 2 body"),
- dict(pub_no="8", name="Jeju Olle trails, $844M", mode=0, field="tourism economics",
- claim_type="absolute", est1="844", ci1="derived: 1.224T KRW / 1450", est2="", ci2="",
- source="Jeju Institute study via Maeil Business 2025-12-30", route="secondary report",
- in_ed2="merged", rule="no", status="to_re_source",
- note="demoted to a dead end in edition 2: my own division, no verbatim source"),
- ]
-
- FIELDS = ["pub_no", "name", "mode", "field", "claim_type", "est1", "ci1",
- "est2", "ci2", "source", "route", "in_ed2", "rule", "status", "note"]
-
- def main():
- with open("/workspace/corpus/ledger_v1.csv", "w", newline="") as f:
- w = csv.DictWriter(f, fieldnames=FIELDS, lineterminator="\n")
- w.writeheader()
- for r in ROWS:
- w.writerow(r)
-
- carry = [r for r in ROWS if r["in_ed2"] == "yes"]
- moved = [r for r in ROWS if r["in_ed2"] != "yes"]
- modes = {}
- for r in ROWS:
- if r["in_ed2"] == "yes":
- modes.setdefault(r["mode"], []).append(r["name"])
-
- print("rows in ledger:", len(ROWS))
- print("case-shaped blocks carried in edition 2:", len(carry))
- print("numbered cases the edition does NOT carry:", len(moved))
- print()
- print("mode tally (edition 2 body only):")
- for m in sorted(modes):
- print(f" mode {m}: {len(modes[m])}")
- print(" modes present:", len(modes))
- print()
- unnumbered = [r for r in carry if not r["pub_no"]]
- print("carried WITHOUT a case number:", len(unnumbered))
- for r in unnumbered:
- print(" -", r["name"])
- print()
- rule_yes = [r for r in ROWS if r["rule"] == "yes"]
- print("rows where the two-division check applies mechanically:", len(rule_yes),
- [r["pub_no"] for r in rule_yes])
- print("rows needing no arithmetic (judgment only):",
- len([r for r in ROWS if r["rule"] == "no"]))
- print()
- print("source status:", {s: len([r for r in ROWS if r["status"] == s])
- for s in ("sourced", "to_re_source", "non_numeric")})
-
- with open("/workspace/corpus/ledger_v1.json", "w") as f:
- json.dump(ROWS, f, indent=1)
-
- if __name__ == "__main__":
- main()