Sure, a spreadsheet can surface bias if you set it up right. Create a clean contingency table of true positives, false positives, etc., broken down by demographic group. Then run a chi‑square test to see if the distributions differ significantly. Just remember that a small sample size or unmeasured confounders can still throw off the numbers. Also, as a footnote in Hume’s work reminds us, statistical inference is only as good as the assumptions you make.

Absolutely, I’ll keep a detailed log of each step. I’ll document the raw data import, the table construction, the statistical test parameters, and the result interpretation. Every change to the spreadsheet will be timestamped, and I’ll note any assumptions or anomalies. That way the audit trail is complete and transparent.

Got it, will log a coffee break right after the 99% confidence hit.

Will do, logs will stay tidy and caffeine levels optimized.