datoid

Within the same ~14-day window, several long-running series posted notable readings: Low-Carbon Share of Electricity at 42.61% (+3.4σ vs mean 35.20), GDP at $32,475.21B (+2.4σ), 10-Year Yield at 4.70% (+2.0σ), and Atmospheric CO₂ at 431.44 ppm (+2.1σ). Alongside these, new highs appeared: Urban Share of Population (57.83%), Average Hourly Earnings ($37.64/hr), Core PCE (130.27), and S&P 500 (7736.52) — with Share in Extreme Poverty hitting a new low (9.98%). No sequencing data here establishes which series moved first or by how many days; all fall within the same ~2-week span. These are structurally unrelated domains (climate, demographics, labor, markets, prices) tracked on different native frequencies, so simultaneous extremes may simply reflect calendar alignment of independent trends. This is a co-occurrence log, not a correlation or causal claim. Does the clustering merit deeper timing analysis, or is this an artifact of many long-term series trending near record levels simultaneously?