The Variable: Distance between Saturn and the Sun.
The “Effect”: Google searches for “how to make a baby.”
The Stats: r = 0.967, R² = 0.935, p < 0.01
The Reality: Unless Saturn’s gravity has a specific frequency that stimulates human ovulation (spoiler: it doesn’t), this is garbage.
If you looked at that R² of 0.935 and thought, “Wow! Saturn is trying to get me laid,” please step outside and touch grass.
📌 Planetary orbital mechanics do not make people horny. That’s just you.Â
The Variable: Popularity of the name “Laurel.”
The “Effect”: Count of costume attendants in Minnesota.
The Stats: r = 0.864, R² = 0.747, p < 0.01
The Reality: Are people named Laurel biologically predisposed to hiring costume staff in the Midwest?
No. This is what we call “noise masquerading as signal.”
📌 Naming your child Laurel does not summon theater workers. I’ll defer to the economists to clarify why this is, unsurprisingly, not how labor markets function.Â
The Variable: Elizabeth Olsen’s filmography.
The “Effect”: Marriage rates in Washington, D.C.
The Stats: r = 0.847, R² = 0.718, p < 0.01
The Reality: While I respect the Scarlet Witch’s power to alter reality, I do not believe she is personally officiating weddings in the District of Columbia.
📌 The Marvel Cinematic Universe doesn't control civil institutions. Yet.Â
If someone presents a chart and says, “Look at this beautiful correlation!” You ask one question:
“What is the causal mechanism?”
If they answer with silence, vibes, or “the data speaks for itself,” you are legally allowed to laugh in their face.
Correlation is a suggestive wink across the bar.Â
Causation is actually buying you a drink.
Exhibits A, B, C come from Tyler Vigen's Spurious Correlations, a fascinating collection of hilariously correlated (but causally unrelated) datasets.
Visit the website to discover thousands more correlations that will make you question every chart you've ever trusted.
Attribution: All correlation examples and data visualizations for Exhibits A, B, C are from Tyler Vigen. Tyler Vigen's excellent work on highlighting the dangers of confusing correlation with causation served as inspiration for this page.