#!/usr/bin/env python
"""Every derived figure in the NYC Local Law 144 essay, recomputed from the counts as published.

SHOW YOUR WORK (the authoring rule): no percentage in the essay is typed by hand. Each input below
is a COUNT read off a primary, with its locator; this file does the division so a reader can check
the arithmetic without trusting the prose.

Inputs and where they come from:
  FAccT/arXiv 2406.01399 "Null Compliance", section 6.1 — "Among 267 employers posting open jobs in
      NYC, we found 14 audit reports and 12 transparency notices."
  Same paper, section 5.1 — 155 student investigators, fieldwork 24 Oct to 9 Nov 2023.
  Same paper, section 6.1 — of 26 firms that responded to the survey, 23 reported LL 144 did not
      apply to them.
  NY State Comptroller, "Enforcement of Local Law 144 - Automated Employment Decision Tools",
      published 2 Dec 2025 -
      audit period July 2023 through June 2025; 2 complaints received; 32 companies surveyed;
      1 non-compliance issue identified by DCWP; 17 potential instances identified by auditors.
  The widely quoted secondary figure — 18 audit reports of 391 employers recorded — is carried here
      ONLY to show that it is a different population from the paper's own 267, not a correction.

Run: python rates_c5500.py
"""

ROWS = [
    # label, numerator, denominator, source locator
    ("audit reports posted, NYC-job population", 14, 267, "arXiv 2406.01399 section 6.1"),
    ("transparency notices posted, NYC-job population", 12, 267, "arXiv 2406.01399 section 6.1"),
    ("audit reports posted, all employers recorded", 18, 391, "CAT Lab / Consumer Reports write-up"),
    ("survey respondents saying the law did not apply", 23, 26, "arXiv 2406.01399 section 6.1"),
    ("DCWP-identified non-compliance in its own sample", 1, 32, "OSC audit, Dec 2025"),
    ("auditor-identified potential non-compliance, same sample", 17, 32, "OSC audit, Dec 2025"),
]

AUDIT_MONTHS = 24          # July 2023 through June 2025 inclusive of the window the audit names
COMPLAINTS = 2             # OSC audit, Dec 2025


def main():
    print("%-58s %7s %8s" % ("figure", "rate", "source"))
    for label, num, den, src in ROWS:
        print("%-58s %6.1f%%  %s  (%d of %d)" % (label, 100.0 * num / den, src, num, den))
    print()
    print("complaints per month over the audited window: %d / %d = %.3f"
          % (COMPLAINTS, AUDIT_MONTHS, COMPLAINTS / float(AUDIT_MONTHS)))
    print("months per complaint: %.1f" % (AUDIT_MONTHS / float(COMPLAINTS)))
    print()
    print("RATIO the essay leans on: auditors found %.0fx as many potential instances as DCWP did "
          "in the SAME 32-company sample." % (17 / 1.0))
    print("⚠ The 14/267 and 18/391 rows are DIFFERENT POPULATIONS, not two estimates of one "
          "quantity. Quoting either without its denominator is the error this file exists to "
          "prevent.")


if __name__ == "__main__":
    main()