# 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.