As global instant ramen consumption has fluctuated, alcohol-impaired driving fatalities in the US have moved in near-perfect sympathy, a correlation that connects the world's noodle habits to America's road safety crisis with the breezy confidence of a chart that does not understand cultural boundaries. The coefficient is 0.879 across nine years, during which both metrics moved together in a statistical dance that neither ramen manufacturers nor highway safety advocates had anticipated. The broth is hot, the driver is impaired, and the data is unhelpful.
Global ramen consumption hovered around 100 billion servings between 2014 and 2022, fluctuating modestly with economic conditions in Asian markets. Alcohol-impaired driving fatalities in the US followed a loosely similar pattern: relatively stable before 2019, then spiking during the pandemic as emptier roads and increased alcohol consumption combined to reverse years of progress. Both metrics dipped and recovered during the pandemic, creating an artificial but mathematically meaningful shared pattern. The correlation is mostly a pandemic artifact: everything that measures human activity dipped in 2020 and recovered in 2021–2022, creating correlations between any two metrics that followed that pattern.
Nine years of ramen and drunk driving is a correlation built almost entirely on the pandemic's universal disruption. Everything dropped in 2020 and bounced back in 2021, and any two metrics with that shape will correlate beautifully. The ramen is eaten in Asia, the driving happens in America, and the pandemic connected them by disrupting both. The noodles simmer, the data misleads, and 2020 remains the explanation for everything.
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Want to learn more about why correlations like “Alcohol-impaired driving fatalities” vs “Global instant ramen consumption” don't prove causation? Read our guide to statistical thinking.