{"country":"BY","country_name":"Belarus","date_used":"2026-10-04","history":[{"date":"2026-09-28","is_anom":false,"n":11,"observed":0.363636,"residual":0.017015,"seasonal":0.023723,"trend":0.322898,"zscore":0.3157},{"date":"2026-09-29","is_anom":false,"n":12,"observed":0.333333,"residual":-0.011288,"seasonal":0.013639,"trend":0.330982,"zscore":-0.0715},{"date":"2026-09-30","is_anom":false,"n":17,"observed":0.529412,"residual":0.021739,"seasonal":0.168758,"trend":0.338915,"zscore":0.3803},{"date":"2026-10-01","is_anom":false,"n":14,"observed":0.285714,"residual":0.002433,"seasonal":-0.063438,"trend":0.346719,"zscore":0.1162},{"date":"2026-10-02","is_anom":false,"n":13,"observed":0.384615,"residual":0.021766,"seasonal":0.008495,"trend":0.354354,"zscore":0.3807},{"date":"2026-10-03","is_anom":false,"n":15,"observed":0.266667,"residual":-0.031135,"seasonal":-0.063964,"trend":0.361765,"zscore":-0.343},{"date":"2026-10-04","is_anom":false,"n":26,"observed":0.230769,"residual":-0.005149,"seasonal":-0.132969,"trend":0.368887,"zscore":0.0125}],"honest_caveats":["Descriptive, not causal \u2014 high |zscore| != censorship.","Sensitive to data sparsity; some country-days have very few measurements.","period=7 assumes weekly seasonality; flat-pattern countries get small seasonal component."],"interpretation":"residual = observed - (trend + seasonal); zscore = residual / std(residuals) in this country. |zscore| > 2.0 = seasonally anomalous. Higher = bigger break from this country's own weekly rhythm. ORTHOGONAL to /v1/anomaly/dbscan/{cc} \u2014 STL catches own-pattern breaks; DBSCAN catches shape-anomalous days.","is_anomaly":false,"model_meta":{"algorithm":"STL (Cleveland 1990) period=7 robust=True","min_days_for_fit":60,"n_countries_fit":76,"stl_period":7,"trained_at":"2026-10-04T04:45:19.425658Z","version":"v1","window_days":90,"zscore_threshold":2.0},"n_measurements_that_day":26,"observed":0.230769,"residual":-0.005149,"schema":"voidly-stl-seasonal-anomaly/v1","seasonal":-0.132969,"trend":0.368887,"zscore":0.0125}