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spurious correlations

correlation is not causation

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A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Bachelor's degrees awarded in Mathematics and statistics and the second variable is Lockheed Martin's stock price (LMT).  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #1,954


Counting on Lockheed: A Statistical Analysis of the Relationship between Mathematics and Statistics Degrees and Lockheed Martin's Stock Price
As more mathematicians and statisticians graduate, they start calculating all the possible trajectories of the stock market. Their complex equations and formulas lead to a surge in accurate stock predictions, making Lockheed Martin a top pick. This newfound demand for LMT stock drives up the price as these number-savvy individuals engage in some serious mathematical stock market manipulation. It's like they say, when math geeks crunch numbers, stock prices go up, up, and array!




What else correlates?
Bachelor's degrees awarded in Mathematics and statistics · all education
Lockheed Martin's stock price (LMT) · all stocks

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Disney movies released and the second variable is Motor vehicle thefts.  The chart goes from 2000 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,248


The Lion Car King: An Empirical Study of the Relationship Between Disney Movie Releases and Motor Vehicle Thefts
As Disney downshifted its movie production, there were fewer car-related films and spin-off merchandise, leading to a reduced interest in automobiles. This eventually put the brakes on the demand for stolen cars, steering would-be thieves towards other, non-automotive pursuits. Or perhaps with the absence of enchanting carriages in the newer Disney movies, thieves lost their belief in the magic of grand theft auto, causing a downturn in the illicit market for vehicles. And as children were no longer getting behind the "wheel" of these car-centric Disney films, they were less likely to grow up to become car thieves, creating a cascading effect on the entire industry.




What else correlates?
Disney movies released · all films & actors
Motor vehicle thefts · all random state specific

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Laurel and the second variable is The number of costume attendants in Minnesota.  The chart goes from 2003 to 2020, and the two variables track closely in value over that time. Small Image
View details about correlation #1,086


Labor of Laurel: Analyzing the Connection between the Name Laurel and Costume Attendants in Minnesota
As the name Laurel gained popularity, more and more parents subconsciously felt drawn to the idea of their child standing out like a prized leaf on a majestic tree. This led to a surge in the demand for elaborate, leafy costumes in Minnesota, as parents enthusiastically prepared their little Laurels to branch out and photosynthesize in style at various events. It seems that the name Laurel truly knows how to 'photosynt-hesize' a trend for foliage-themed fashion in the land of 10,000 lakes!




What else correlates?
Popularity of the first name Laurel · all first names
The number of costume attendants in Minnesota · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Associates degrees awarded in Dental assisting and the second variable is Wins for the Baltimore Orioles.  The chart goes from 2011 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #4,195


Grin and Win: Investigating the Correlation Between Dental Assisting Associate Degrees and Baltimore Orioles' Victories
As the number of dental assistants with associates degrees rises, so does their enthusiasm for promoting good dental hygiene. This creates a ripple effect, leading to a surge in players' commitment to oral health. As the Baltimore Orioles focus on maintaining winning smiles, their overall morale and performance on the field improve, ultimately leading to more victories. It's a true case of the power of smiles in sports!




What else correlates?
Associates degrees awarded in Dental assisting · all education
Wins for the Baltimore Orioles · all sports

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is GMO use in corn grown in Iowa and the second variable is Jet fuel used in Kosovo.  The chart goes from 2009 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #1,334


The Corn and the Furious: Exploring the GMO-Jet Fuel Connection
The corn cobs were actually secretly functioning as mini jet engines, so with fewer GMOs, there were fewer power-packed cobs to fuel the planes. It's not turbulence in the air, it's cornspiracy in the fields!




What else correlates?
GMO use in corn grown in Iowa · all food
Jet fuel used in Kosovo · all energy

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Number of articles Matt Levine published on Bloomberg on Fridays and the second variable is Telefónica's stock price (TEF).  The chart goes from 2014 to 2023, and the two variables track closely in value over that time. Small Image
View details about correlation #5,886


Friday Flurry: Matt Levine's Musings and Telefónica's Tumultuous Tendencies
The decrease in Matt Levine's Friday articles led to a decrease in Friday finance humor, reducing overall Friday market enthusiasm, including Telefónica, and causing stock prices to dip on the brink of the weekend. It seems Levine's words were Telefoni-causing trouble!




What else correlates?
Number of articles Matt Levine published on Bloomberg on Fridays · all weird & wacky
Telefónica's stock price (TEF) · all stocks

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of movies Elizabeth Olsen appeared in and the second variable is The marriage rate in District of Columbia.  The chart goes from 1999 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #5,873


The Olsens and the Nuptials: A Cinematic Study of Elizabeth Olsen's Filmography and Marriage Rates in the District of Columbia
As Elizabeth Olsen's filmography expanded, so did the love and romance permeating the nation's capital. It's no coincidence that as more people watched her on screen, they were inspired to seek out their own real-life love stories. Her captivating performances must have been creating a ripple effect of budding relationships, ultimately contributing to a surge in weddings. Who knew that the road to matrimonial bliss in D.C. was paved with the silver screen charisma of Elizabeth Olsen!




What else correlates?
The number of movies Elizabeth Olsen appeared in · all films & actors
The marriage rate in District of Columbia · all random state specific

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of transportation security screeners in West Virginia and the second variable is Google searches for 'how to build a bunker'.  The chart goes from 2012 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #4,243


Guardians of the Galaxy: The Correlation between Transportation Security Screeners in West Virginia and Google Searches for 'How to Build a Bunker'
With fewer screeners around, the TSA implemented a new "Bring Your Own Bunker" policy, prompting a surge in West Virginians constructing their personal underground fortresses to ensure their own security. As a result, the demand for internet tutorials on bunker construction plummeted, as people realized that they were already experts in home fortification. Who needs a how-to guide when you can just repurpose your old fallout shelter blueprints from the 1950s? It was a real grassroots movement, or rather, an underground movement, in the Mountain State!




What else correlates?
The number of transportation security screeners in West Virginia · all cccupations
Google searches for 'how to build a bunker' · all google searches

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Cottage cheese consumption and the second variable is Popularity of the first name Andrea.  The chart goes from 1990 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #1,224


The Scoop on Cottage Cheese: Analyzing the Popularity of the Name Andrea
As Cottage cheese consumption decreased, the overall level of curdled enthusiasm in the world plummeted. Unfortunately for Andreas everywhere, this meant a whey-d from being able to find their gouda soulmates and form the cheddar memories they had hoped for. With fewer people experiencing the cottage-core lifestyle, the appeal of naming their children after quaint, cheesy abodes like And-cheddrea or Mozzar-andrea just couldn't brie the same. It's a feta-ful situation for anyone with a fondness for Andrea, but hopefully, as Cottage cheese makes a comeback, so will the love for this moniker!




What else correlates?
Cottage cheese consumption · all food
Popularity of the first name Andrea · all first names

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'slaps roof of car' meme and the second variable is Number of times 23 was a winning Mega Millions number.  The chart goes from 2006 to 2023, and the two variables track closely in value over that time. Small Image
View details about correlation #4,998


Slap Me If I'm Wrong, But Is 23 the New Lucky Number? Exploring the Correlation Between the 'Slaps Roof of Car' Meme Popularity and 23 as a Winning Mega Millions Number
The meme made people slap their foreheads, activating the "luck" center of their brains! The meme created a 'shocking' increase in people buying An electric car coinciding With the meme's popularity. The electric buildup caused a 'positive charge' around the number 23, making it more likely to be drawn! As the meme spread, it 'revved up' the collective 'engine' of luck, leading to more 'powerful' vibes surrounding the number 23! The meme's popularity led to more people 'hitting' the jackpot, and 23 just happened to be along for the 'ride'! The meme's catchphrase actually became a subconscious mantra for lottery players, 'driving' them to choose 23 as their lucky number! The meme's impact was so 'far-reaching' that it 'accelerated' the probability of 23 being a winning number! The meme 'car'-ried a wave of good luck that 'auto'-matically made 23 a more 'wheel'-y good choice for lottery players!




What else correlates?
Popularity of the 'slaps roof of car' meme · all memes
Number of times 23 was a winning Mega Millions number · all weird & wacky

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Liquefied petroleum gas used in Spain and the second variable is Assistant Processor salaries in the US.  The chart goes from 2009 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,738


Fired up: Exploring the Flaming Relationship Between LPG in Spain and Assistant Processor Salaries in the US
As the demand for Liquefied Petroleum Gas (LPG) in Spain rose, more and more people started using it for cooking and heating. This led to a spike in the need for Assistant Processors in the US to handle and process the extra LPG orders coming from Spain. With all the gas-related work piling up, companies had to offer higher salaries to attract top talent, making it a truly "fiery" job market for Assistant Processors.




What else correlates?
Liquefied petroleum gas used in Spain · all energy
Assistant Processor salaries in the US · all education

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of skincare specialists in Kentucky and the second variable is Google searches for 'how to hide a body'.  The chart goes from 2010 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #3,078


Dermatologist Density and Google Trends: The Link between Skin Experts and Sinful Mindsets in Kentucky
As the skincare specialists in Kentucky flourished, they began to unearth innovative techniques for preserving a youthful appearance. People couldn't help but marvel at how these specialists made things disappear without a trace. And as the experts honed their skills in making blemishes and wrinkles vanish, it inadvertently sparked a statewide interest in making other things, or rather, bodies, vanish too - leading to an unexpected surge in 'how to hide a body' searches. After all, when you're used to dealing with complexions, concealing a corpus must seem like a skin-deep secret! It's a case of beauty secrets taking an unexpectedly dark turn, leaving everyone to wonder if the real glow-up was in mastering the art of clandestine concealment.




What else correlates?
The number of skincare specialists in Kentucky · all cccupations
Google searches for 'how to hide a body' · all google searches

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name William and the second variable is Burglaries in South Carolina.  The chart goes from 1985 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #2,089


Will-i-Am's Effect: Analyzing the Correlation Between the Popularity of the Name William and Burglary Rates in South Carolina
Fewer Williams meant fewer people with the will toiammoral compass, leading to a decrease in sticky situations.




What else correlates?
Popularity of the first name William · all first names
Burglaries in South Carolina · all random state specific

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The distance between Uranus and Earth and the second variable is Number of Slot Machines in Nevada.  The chart goes from 1984 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,184


The Celestial Slot Machine Connection: Exploring the Correlation Between the Distance between Uranus and Earth and the Number of Slot Machines in Nevada
The gravitational pull from Uranus created a ripple effect on Earth's magnetic field, stimulating the pleasure centers in people's brains. As a result, there was a greater demand for entertainment, leading to an increase in the number of slot machines in Nevada as a way to capitalize on this cosmic amusement.




What else correlates?
The distance between Uranus and Earth · all planets
Number of Slot Machines in Nevada · all weird & wacky

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Master's degrees awarded in Liberal arts and the second variable is Popularity of the 'success kid' meme.  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #5,138


The Art of Success: A Meme-ingful Connection Between Master's Degrees in Liberal Arts and the Popularity of 'Success Kid'
As the number of Master's degrees in Liberal Arts decreased, there was a corresponding decline in the deep analysis of internet memes. This led to a reduced appreciation for the nuanced success of the 'success kid' meme. After all, no one could find the deeper meaning in the kiddie pool of memes anymore!




What else correlates?
Master's degrees awarded in Liberal arts · all education
Popularity of the 'success kid' meme · all memes

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How nerdy 'Be Smart' science  YouTube video titles are and the second variable is The number of film and video editors in Puerto Rico.  The chart goes from 2013 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #4,640


From E(dit)Nerd to Producer: A Reel-y Nerdy Investigation into the Relationship between YouTube Video Titles and Film and Video Editors in Puerto Rico
The more editors there are, the reel the video titles become. As the editing talent pool grows, the content becomes a cut above the rest. It's like they say, the more the edits, the nerdy the hits! So it seems there's a direct correlation between the Puerto Rican editing prowess and the nerdy titles - it's a blockbuster of a connection!




What else correlates?
How nerdy 'Be Smart' science YouTube video titles are · all YouTube
The number of film and video editors in Puerto Rico · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is GMO use in corn grown in Ohio and the second variable is Google searches for 'i cant even'.  The chart goes from 2004 to 2023, and the two variables track closely in value over that time. Small Image
View details about correlation #2,194


GMO-cornfusion: A Kernel of Truth behind I Can't Even Searches
The corn started expressing its existential crisis, leading to a wave of empathetic confusion among internet users. With their genetically modified woes, the corn just couldn't even, and neither could anyone else. It was a-maize-ing how the internet was stalked by this cob-founding development.




What else correlates?
GMO use in corn grown in Ohio · all food
Google searches for 'i cant even' · all google searches

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Google's Net Income and the second variable is Sales of LP/Vinyl Albums.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,082


Google's Net Income and LP/Vinyl Album Sales: An Unlikely Rhyme in Time
As Google's net income rose, they invested in a secret underground project to bring back the nostalgia of vinyl records. Using their advanced algorithms, they identified the perfect target audience and created a resurgence in the love for analog music. Little did anyone know, Google's true profit was in spinning old-school beats, making them the real OG of the music industry.




What else correlates?
Google's Net Income · all stocks
Sales of LP/Vinyl Albums · all weird & wacky

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the first name Violet and the second variable is Fossil fuel use in Equatorial Guinea.  The chart goes from 1980 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #3,022


Violet's Vortex: A Correlative Analysis of the Name Popularity and Fossil Fuel Use in Equatorial Guinea
As more and more people were named Violet, the demand for violet-colored cars skyrocketed. This led to a global shortage of violet automotive paint, prompting intensified drilling for the rare violet fossil fuel in Equatorial Guinea. Remember, when it comes to naming trends, the fuel-ty's the limit!




What else correlates?
Popularity of the first name Violet · all first names
Fossil fuel use in Equatorial Guinea · all energy

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of movies Don Cheadle appeared in and the second variable is Points allowed by the Los Angeles Chargers.  The chart goes from 2017 to 2023, and the two variables track closely in value over that time. Small Image
View details about correlation #5,874


Linking Don Cheadle Appearances to the Defensive Dilemma: A Silver-Screen Statistical Study of the Los Angeles Chargers
Every time Don Cheadle is in a movie, the Chargers' opponents can't help but be starstruck, leading to a dramatic decrease in their ability to score points. It's like the Chargers' defense is the real Avengers, and Don Cheadle's on-screen presence is their secret weapon against the opposing offense! It's a blockbuster success for the Chargers' defense every time Don Cheadle graces the silver screen.




What else correlates?
The number of movies Don Cheadle appeared in · all films & actors
Points allowed by the Los Angeles Chargers · all sports

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Why this works

  1. Data dredging: I have 25,237 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 636,906,169 correlation calculations! This is called “data dredging.” Fun fact: the chart used on the wikipedia page to demonstrate data dredging is also from me. I've been being naughty with data since 2014.
    Instead of starting with a hypothesis and testing it, I instead tossed a bunch of data in a blender to see what correlations would shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
  2. Lack of causal connection: There is probably no direct connection between these variables, despite what the AI says above. Because these pages are automatically generated, it's possible that the two variables you are viewing are in fact causually related. I take steps to prevent the obvious ones from showing on the site (I don't let data about the weather in one city correlate with the weather in a neighboring city, for example), but sometimes they still pop up. If they are related, cool! You found a loophole.
    This is exacerbated by the fact that I used "Years" as the base variable. Lots of things happen in a year that are not related to each other! Most studies would use something like "one person" in stead of "one year" to be the "thing" studied.
  3. Observations not independent: For many variables, sequential years are not independent of each other. You will often see trend-lines form. If a population of people is continuously doing something every day, there is no reason to think they would suddenly change how they are doing that thing on January 1. A naive p-value calculation does not take this into account. You will calculate a lower chance of "randomly" achieving the result than represents reality.

    To be more specific: p-value tests are probability values, where you are calculating the probability of achieving a result at least as extreme as you found completely by chance. When calculating a p-value, you need to assert how many "degrees of freedom" your variable has. I count each year (minus one) as a "degree of freedom," but this is misleading for continuous variables.

    This kind of thing can creep up on you pretty easily when using p-values, which is why it's best to take it as "one of many" inputs that help you assess the results of your analysis.
  4. Y-axes doesn't start at zero: I truncated the Y-axes of the graphs above. I also used a line graph, which makes the visual connection stand out more than it deserves. Nothing against line graphs. They are great at telling a story when you have linear data! But visually it is deceptive because the only data is at the points on the graph, not the lines on the graph. In between each point, the data could have been doing anything. Like going for a random walk by itself!
    Mathematically what I showed is true, but it is intentionally misleading. If you click on any of the charts that abuse this, you can scroll down to see a version that starts at zero.
  5. Confounding variable: Confounding variables (like global pandemics) will cause two variables to look connected when in fact a "sneaky third" variable is influencing both of them behind the scenes.
  6. Outliers: Some datasets here have outliers which drag up the correlation. In concept, "outlier" just means "way different than the rest of your dataset." When calculating a correlation like this, they are particularly impactful because a single outlier can substantially increase your correlation.

    Because this page is automatically generated, I don't know whether any of the charts displayed on it have outliers. I'm just a footnote. ¯\_(ツ)_/¯
    I intentionally mishandeled outliers, which makes the correlation look extra strong.
  7. Low n: There are not many data points included in some of these charts. You can do analyses with low ns! But you shouldn't data dredge with a low n.
    Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.


Pro-tip: click on any correlation to see:

Project by Tyler Vigen
emailme@tylervigen.com · about · subscribe


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