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spurious correlations

correlation is not causation

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where each of these is an academic paper

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Yogurt consumption and the second variable is Google searches for 'i cant even'.  The chart goes from 2004 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,203


Probiotics and Problems: The Yogurt-Google 'I Can't Even' Correlation
It's simple. As yogurt consumption rose, so did our tolerance for the sour and curdled aspects of life. It's as if the active cultures in the yogurt fermented a newfound ability to handle all the whey-ward frustrations. So next time you're feeling moosy, just grab a spoon and dairy yourself to a better mood. Remember, when life gives you lemons, make fro-yo!




What else correlates?
Yogurt consumption · 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 The number of movies Will Smith appeared in and the second variable is Electricity generation in Kosovo.  The chart goes from 2008 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #5,860


Switching on Will Power: An Electrifying Connection Between Will Smith's Filmography and Electricity Generation in Kosovo
Will Smith's on-screen charisma and megawatt smile evidently sparked a surge in motivation among the people of Kosovo. As they tuned in to watch his performances, they couldn't help but feel charged up and full of energy. It's as if his blockbuster presence somehow electrified the nation, leading to a rewiring of productivity and a fresh power play in the realm of electricity generation. It's a shocking connection, but it seems that when it comes to boosting power production in Kosovo, Will Smith's roles truly have the spark!




What else correlates?
The number of movies Will Smith appeared in · all films & actors
Electricity generation 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 UFO sightings in Utah and the second variable is Patents granted in the US.  The chart goes from 1975 to 2020, and the two variables track closely in value over that time. Small Image
View details about correlation #1,116


Interstellar Innovation: Exploring the Correlation Between UFO Sightings in Utah and US Patent Grants
The UFOs were actually advanced technology created by Utah residents, and as their inventions caught the attention of extraterrestrial beings, the aliens couldn't help but file patents for the incredible gadgets and gizmos they saw. It's a classic case of the universe recognizing true innovation, and Utah's UFO enthusiasts inadvertently becoming the ultimate source of inspiration for otherworldly inventors. Who knew that the key to unlocking groundbreaking ideas was simply to think beyond the stars?




What else correlates?
UFO sightings in Utah · all random state specific
Patents granted in the US · 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 Lane and the second variable is The number of merchandise displayers and window trimmers in Alaska.  The chart goes from 2003 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #3,239


Alaskan Visual Merchandising: The Lane of Name Popularity
As the name Lane gained popularity, more and more parents couldn't resist naming their kids after the charming lanes they encountered. This led to a sudden surge in demand for decorative displays and window trims to match the picturesque imagery associated with the name. It's like a real-life lane transformation, turning the streets and storefronts of Alaska into stunning, Lane-themed avenues of style and panache, because when it comes to enhancing the visual appeal, you can always count on a Lane to lead the way!




What else correlates?
Popularity of the first name Lane · all first names
The number of merchandise displayers and window trimmers in Alaska · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'balloon boy' meme and the second variable is Wind power generated in Fiji.  The chart goes from 2009 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #5,125


Gone with the Wind: The Balloon Boy Meme's Inflated Influence on Fiji's Wind Power Generation
As the 'balloon boy' meme deflated in popularity, it created a shortage of hot air in the online space. This shortage of hot air somehow led to a decrease in wind power generated in Fiji, leaving the whole situation quite up in the air.




What else correlates?
Popularity of the 'balloon boy' meme · all memes
Wind power generated in Fiji · all energy

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 the Sun and the second variable is Global count of operating nuclear power plants.  The chart goes from 1975 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,185


Uncovering the Cosmic Correlation: The Orbital Distance between Uranus and the Sun and the Global Count of Operating Nuclear Power Plants
As Uranus moved further away, its gaseous emissions created a chain reaction of laughter among humans. This laughter somehow led to an increase in the construction of nuclear power plants as a misguided attempt to harness this newfound comedic energy. It turns out that Uranus's departure really did prompt a lot of "Uranus jokes," leading to a strange and unexpected boom in the nuclear power industry. I guess you could say that Uranus's influence on Earth's sense of humor was truly out of this world!




What else correlates?
The distance between Uranus and the Sun · all planets
Global count of operating nuclear power plants · 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 Stevie and the second variable is Lululemon's stock price (LULU).  The chart goes from 2008 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #2,277


LULU-lemonade: A Statistical Study of the Stevie-nized Market
This all comes down to a little-known psychological phenomenon called the "Stevie Style Effect." It turns out that people named Stevie have an innate ability to exude an aura of effortless coolness and a keen eye for sleek, comfortable activewear. As the number of individuals named Stevie grew, so did the demand for stylish yet functional athleisure apparel. This led to an unexpected surge in Lululemon's sales, prompting investors to clamor for LULU stock, driving up its price. Who would have thought that the name Stevie would hold the key to the rise of Lululemon? It's like they say, never underestimate the impact of a trendsetting Stevie on the sartorial choices of the masses!




What else correlates?
Popularity of the first name Stevie · all first names
Lululemon's stock price (LULU) · all stocks

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 Engineering technologies and the second variable is Google searches for 'daylight savings time'.  The chart goes from 2011 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #3,133


Aligning Associates in Engineering Technologies with Anomalous Avidity for Arboreal Alignment: A Connection to Daylight Savings Time?
Fewer engineering technology graduates means there's no one left to shrink the sun or tinker with time. It's all fun and games until the engineering grads take away our extra daylight!




What else correlates?
Associates degrees awarded in Engineering technologies · all education
Google searches for 'daylight savings time' · 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 Camden and the second variable is UFO sightings in Florida.  The chart goes from 1975 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #3,011


Camden's Cosmic Connection: Correlating the Popularity of the Name Camden with UFO Sightings in Florida
As the name Camden rose in popularity, more parents were subconsciously drawn to space-themed nurseries, leading to an influx of UFO decor sales. This sudden spike in households with intergalactic aesthetics created confusion for passing UFOs, who mistook the Sunshine State for a cosmic pit stop. It seems like little Camdens were truly out of this world, sparking a nursery trend that was simply 'alien' to Florida's usual style.




What else correlates?
Popularity of the first name Camden · all first names
UFO sightings in Florida · 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 Master's degrees awarded in Parks & Recreation and the second variable is Alphabet's stock price (GOOGL).  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,298


Par-Fecting the Market: A Link Between Master's Degrees in Parks & Recreation and GOOGL Stock Price
As the number of Parks & Recreation Master's degree holders rose, so did the demand for alphabetically organized activities in public spaces. This led to a surge in people seeking out leisurely pursuits like birdwatching, creating a higher need for Google searches. The correlation between these educated park planners and the stock price of Alphabet was in-tents, because when it comes to boosting Google, they really knew how to *recreate* some positive outcomes.




What else correlates?
Master's degrees awarded in Parks & Recreation · all education
Alphabet's stock price (GOOGL) · all stocks

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Kerosene used in El Salvador and the second variable is Google searches for 'attacked by a squirrel'.  The chart goes from 2004 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #1,069


Burning Questions: The Kerosene Connection - A Squirrely Correlation?
As kerosene usage decreased in El Salvador, there were fewer open flames to attract the attention of the power-hungry squirrel overlords, leading to a decrease in their organized attacks on unsuspecting individuals. Without the allure of fiery chaos, the squirrels decided to pursue more peaceful activities like acorn gathering and competitive tree climbing, leaving the people of El Salvador with a slightly lower risk of encountering vengeful, flame-loving squirrels. Remember, a squirrel's plans can be easily derailed when there are no kerosene-fueled sparks flying to ignite their bushy-tailed ambitions!




What else correlates?
Kerosene used in El Salvador · all energy
Google searches for 'attacked by a squirrel' · all google searches

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 Nicolas Cage appeared in and the second variable is The number of transportation security screeners in North Dakota.  The chart goes from 2012 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #5,837


Nicolas Cage on Stage: The Movie Craze and North Dakota's Screeners' Raise
The heightened state of unease over the possibility of a 'Con Air' sequel resulted in an influx of security personnel. It just goes to show, when it comes to Nic Cage, the need for increased security is always 'Raising Arizona.'




What else correlates?
The number of movies Nicolas Cage appeared in · all films & actors
The number of transportation security screeners in North Dakota · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Google searches for 'im not even mad' and the second variable is Popularity of the 'whip nae nae' meme.  The chart goes from 2015 to 2023, and the two variables track closely in value over that time. Small Image
View details about correlation #5,952


I'm Not Even Mad, Said Rad, So Whip, Nae-Nae: A Correlational Study of Google Searches and Internet Memes
As people's ability to stay chill and not get worked up decreased, they were no longer in the right mindset to whip and/or nae nae with the same level of enthusiasm. The lack of 'not even mad' energy was a major hit to the whip nae nae community, leading to a decline in its overall coolness. Less zen led to less swag, and the meme just couldn't keep its groove without that tranquil vibe.




What else correlates?
Google searches for 'im not even mad' · all google searches
Popularity of the 'whip nae nae' meme · all memes

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 Harmony and the second variable is Associates degrees awarded in Agriculture and natural resources.  The chart goes from 2011 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,129


The Harmony Name Game: A Melodic Analysis of Associates Degrees in Agriculture and Natural Resources
As more people were named Harmony, a wave of peaceful and cooperative vibes swept through the agricultural community, leading to a surge in knowledge sharing and mutual support among aspiring agronomists and environmentalists. It's as if the fields were harmonically cultivated for success!




What else correlates?
Popularity of the first name Harmony · all first names
Associates degrees awarded in Agriculture and natural resources · all education

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Per capita consumption of margarine and the second variable is The divorce rate in Maine.  The chart goes from 2000 to 2009, and the two variables track closely in value over that time. Small Image
View details about correlation #5,920


Spreading Love and Margarine: An Examination of the Butter-Splitter Correlation in Maine
Perhaps as people used less margarine, they became less slippery in their relationships. The lack of artificial spread may have kept the couples from buttering each other up, leading to a decrease in overall marital strife. That's the reality when you can't believe it's not butter - it's a recipe for marital success. Alternatively, it could be that as the margarine consumption decreased, so did the overall slickness in the state, leading to fewer instances of partners feeling like they couldn't grip the marriage.




What else correlates?
Per capita consumption of margarine · all food
The divorce rate in Maine · all random state specific

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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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