Any two series in the database
Metric explorer
Pick any two of the 400 longest series, from any of the 18 sources, and GLOVIZ pairs them on time and plots one against the other. Correlation is computed server-side over the matched points; Orbit's Correlations tool opens on the time chart so you can see the same question two ways. Correlation is not causation, and the point of this page is how easy it is to find a convincing coincidence.
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Vertical
Try:Day-ahead power price DE × Day-ahead power price DK2 (rΔ=0.946)Day-ahead power price DE × Day-ahead power price DK1 (rΔ=0.9)Earthquakes per day (M4.0+ × Earthquakes per day, Asia (rΔ=0.888)VIX volatility index × S&P 500 index (rΔ=-0.871)Earthquakes per day (M4.5+ × Earthquakes per day, Asia (rΔ=0.837)Temperature Moscow × Humidity Moscow (rΔ=-0.836)Brent crude oil price × WTI crude oil price (rΔ=0.832)Inflation, HICP annual rat × Inflation, HICP annual rat (rΔ=0.823)
Strong positive · r = 0.966127 matched observations
Daily mean temperature Cairo and Daily mean temperature Cairo (since 1940)NASA POWER against Open-Meteo Historical (Copernicus ERA5) · two axes, one time line
Sources: NASA POWER, Open-Meteo Historical (Copernicus ERA5)
One against the other127 points, matched on the nearest shared timestamp
Sources: NASA POWER, Open-Meteo Historical (Copernicus ERA5)
Looking for something curated instead? Try the stories.