Scotiabank Economics · 09/04/2026
Why I Don ’ t Trust Nonfarm Payrolls · GLOBAL ECONOMICS
Official source ↗Citable research brief
One-sentence conclusion
Scotiabank Economics questions the credibility of the August 2026 nonfarm payrolls report, attributing the upside surprise to an abrupt and unexplained shift in the seasonal adjustment (SA) factor. The bank notes that using prior-year SA factors would have resulted in a much weaker +15k print, and highlights stalled year-over-year payroll growth as a warning sign. It calls for public explanation from the new BLS Commissioner and scrutiny by Fed taskforces.
- Institution
- Scotiabank Economics
- Published
- 09/04/2026
- Time horizon
- short-term · ongoing · current
Key numbers: Actual nonfarm payrolls m/m (SA) 162k; Scotiabank forecast 30k; Consensus forecast 55k; Payrolls if SA factor unchanged 15k; Unemployment rate 4.1%; Two-month net upward revision 55k; Participation rate stalled at ~62.5%; Wage growth m/m SAAR 3%
Main risks: If the SA factor anomaly is unexplained, official labor market data may be unreliable, leading to policy missteps.; Stalled annual payroll growth could signal imminent economic slowdown.; Low survey response rates raise data quality concerns.; Political interference in BLS data could undermine Fed credibility.
Context: this is Tlines' automated structure of a public institutional report, not the institution's wording. Scope and date above travel with the conclusion.
Verify at the original source ↗The report
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AI analysis
AI-generated from the report above · not a translation and not the institution's wording · verify against the official source
Key arguments
- The +161k payroll gain was entirely due to an abrupt shift in the seasonal adjustment factor, without which payrolls would have risen only 15k.
- Low survey response rates at historic lows dent data quality.
- Stalled yearly growth in payrolls remains a warning sign for the economy.
- The new BLS Commissioner should explain the SA factor change; Fed taskforces should weigh in.
- The gain in leisure and hospitality is hard to explain given waning services momentum.
Risks
- If the SA factor anomaly is unexplained, official labor market data may be unreliable, leading to policy missteps.
- Stalled annual payroll growth could signal imminent economic slowdown.
- Low survey response rates raise data quality concerns.
- Political interference in BLS data could undermine Fed credibility.