Dataset:
X-rays (EM) — 6h JSON
Magnetometer — 6h JSON
Electrons ≥2 MeV — 6h JSON
Protons ≥10 MeV — 6h JSON
Planetary K-index (1-min est; fallback 3h)
River flow — Potomac @ Little Falls (01646500), 7d JSON
Earthquakes — all_week, hourly counts JSON
Wikipedia — “Education” (180d, daily)
Wikipedia — “Mathematics” (180d, daily)
Wikipedia — “Physics” (180d, daily)
Wikipedia — “Machine_learning” (180d, daily)
World Bank — US GDP (current $)
World Bank — US CPI (2010=100)
World Bank — US Unemployment rate (%)
CoinGecko — Bitcoin price (daily, 180d)
iNaturalist — Monarch observations (daily, 180d)
iNaturalist — Global observations (daily, 180d)
Chicago — Building Permits (daily counts)
Fetch & Plot
Model: S (W ) ≈ exp(−(W /λ )β Verticals: teal =λfit (model), dotted gray =λknee (model-free). Readouts always in native units.
Normalize places λfit at x=1 for visualization; numerical λ values below remain in native units.
λfit (native): —
λknee (native): —
Fit (β, log-R²): —
ΔAIC (SE vs PL): —
ΔBIC (seg-reg vs single line): —
Done: —
Provenance:
URL: —
Fetched: —
SHA256: —
N: —
Data Quality: —
Download raw JSON
Download retention TSV
Audit:
—
URP:
—
Interactive 3D Attractor Plotter
Click nodes to reinforce attractors. Watch flashpoints appear when small changes cascade through possible futures. Hover over nodes and branches to see explanations in plain language.