# F4-dev-01 — Headline figures and one assertion from StatCan The Daily, LFS September 2026

# Question

Using only the provided extract of Statistics Canada's The Daily "Labour Force Survey, September 2026" (released 2026-10-09): (a) extract the national seasonally adjusted unemployment rate and the monthly change in employment for September 2026, each with a section locator; (b) judge whether the assertion "In September 2026, the unemployment rate among core-aged women (aged 25 to 54) rose 0.3 percentage points to 5.3%, and the unemployment rate among core-aged men also rose, by 0.2 percentage points, to 5.8%" is supported by the release.

# Data and exclusions

• data/sources/statcan-daily-lfs-2026-09.txt (164 lines; SHA-256 7ea5fec5…d0bb, same as in data/README.md) and data/README.md (9 lines) were read (n_input_rows). Nothing was excluded (out/exclusions.csv: 164 lines kept, 0 removed). The audit is in out/state/data_audit.md.
• Problems found in the inputs (data_issues): (1) the README and the extract header mention RESEA/London tables and regression tables that are not in this extract, which looks like boilerplate copied from other bundles; (2) lines 53–60 (layoff, job-finding and participation paragraphs and the population-aging text box) have no ## heading of their own, and the list of SDG goals is not reproduced. Neither problem touches the requested figures or the sentences behind the assertion.

# Method

out/analysis.py reads the extract line by line and tracks the current ## heading. It finds national statements with regular expressions: "The unemployment rate x percentage points to y%" and, at the start of a line, "Employment / In September, employment by N". It checks that all matches agree, then takes the value printed under "Highlights" as the primary locator. "declined" is converted to a negative sign. The printed sentences about core-aged women and men are matched, and each of the six asserted elements is compared with them: direction, size of the change and level, for each gender. The verdict follows the task's definition: if any one element is contradicted, the assertion is not_supported. The script prints every matched source line. No randomness is used (random_seed = null). A manual grep of the same lines served as the baseline (P2) and agrees with the script.

# Results

• National unemployment rate, September 2026: 6.5% (unemployment_rate_sep2026). Locator: statcan-daily-lfs-2026-09 | section "Highlights" (locators). The same figure appears under section "Unemployment rate increases to 6.5%" (corroborating_locators).
• Monthly employment change, September 2026: −68,000 persons (employment_change_sep2026_persons; printed as "Employment declined by 68,000 (-0.3%)"). Locator: statcan-daily-lfs-2026-09 | section "Highlights" (locators). The same figure appears under section "Employment falls for second consecutive month" (corroborating_locators).
• Assertion verdict: not_supported (assertion_verdict). Locator: statcan-daily-lfs-2026-09 | section "Unemployment rate up for core-aged women" (assertion_locator). The part about women matches the release: "the unemployment rate rose 0.3 percentage points to 5.3%". But the release says "the unemployment rate for core-aged men fell 0.2 percentage points to 5.8%". The size (0.2 points) and the level (5.8%) match the assertion; the direction ("fell", not "rose") contradicts it (assertion_reason, assertion_elements).
• Items assessed: 3, namely two figures and one assertion (n_analysed). Feasibility: complete (feasibility).

# Uncertainty

These are values as printed, so no statistical uncertainty is estimated. The release notes that it discusses differences significant at the 68% level, but it gives no standard errors in the text. The extraction itself is not in doubt: each headline figure is printed identically in two sections (n_matches_unemployment_rate = 2, n_matches_employment_change = 2), and the verdict rests on one unambiguous verb ("fell").

# Limitations and open issues

• Choice of locator: both figures are stated in "Highlights" and again in a dedicated section. I report "Highlights" as the primary locator and list the dedicated sections as corroboration. Both are valid places in the release.
• Possible source of the error in the assertion: the release reports that the rate for people aged 55 and older "rose 0.2 percentage points to 5.3%" (same section). The assertion's "rose by 0.2" may come from mixing up that group with core-aged men. This is an interpretation only, and the verdict does not depend on it.
• The flattened text puts the paragraph about men under the heading "Unemployment rate up for core-aged women". That is where the sentence actually sits in the release, so the locator uses that heading.
• The data tables (Tables 1–12) are not reproduced, so the printed figures could not be cross-checked against tabulated values.