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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 xkcd comics published about existentialism and the second variable is Average number of comments on MinuteEarth YouTube videos.  The chart goes from 2013 to 2023, and the two variables track closely in value over that time. Small Image
View details about correlation #4,594


The Existential Comic Conundrum: An Analysis of xkcd Comics and Its Relationship with Average Comment Counts on MinuteEarth YouTube Videos
The decline in existential xkcd comics has left MinuteEarth viewers feeling unfulfilled, leading to a lack of engagement. It seems the absence of 'xkcd-istential' humor has created a 'comic-crisis' for the comment section! Remember, when it comes to internet content, every 'comment' counts!




What else correlates?
xkcd comics published about existentialism · all weird & wacky
Average number of comments on MinuteEarth YouTube videos · all YouTube

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of Breweries in the United States and the second variable is Popularity of the 'this is fine' meme.  The chart goes from 2006 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #5,119


Crafts on Draft: The State of Brews and Moods in the United States
As the number of breweries in the United States increased, so did the production of craft beers. This led to a corresponding increase in the consumption of said beers. As more people imbibed, they found themselves in situations reminiscent of the 'this is fine' meme, where everything may seem to be falling apart, but they were determined to stay optimistic and unfazed - much like the characters in the meme who calmly sipped their coffee amidst chaos. This increased relatability fueled the meme's popularity, creating a hoppy connection between the burgeoning brewery scene and the spread of the 'this is fine' meme.




What else correlates?
The number of Breweries in the United States · all food
Popularity of the 'this is fine' meme · all memes

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air pollution in Johnstown, Pennsylvania and the second variable is The number of floral designers in Pennsylvania.  The chart goes from 2003 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #4,662


The Pollen Paradox: Examining the Relationship Between Air Pollution in Johnstown, Pennsylvania and the Number of Floral Designers in Pennsylvania
As the air became cleaner, flowers no longer felt the need to hire designers for their petals, ultimately leading to a decrease in floral designers in the state. With no more smoggy competition, the floral industry wilted away, leaving Pennsylvania's floral designers out of a job.




What else correlates?
Air pollution in Johnstown, Pennsylvania · all weather
The number of floral designers in Pennsylvania · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for Republican Senators in Utah and the second variable is Fossil fuel use in Suriname.  The chart goes from 1980 to 2018, and the two variables track closely in value over that time. Small Image
View details about correlation #4,412


Republican Votes, Fossil Fuels, and Utah's Quirks: A Quirky Correlation
As the number of Republican votes for Senators in Utah rises, so does the demand for balloons to celebrate. Suriname, feeling the festive vibes, decides to host the world's first Fossil Fuel Fueled Balloon Festival, leading to a significant uptick in fossil fuel use. It's a gas-guzzling, politically-charged party in the skies over Suriname!




What else correlates?
Votes for Republican Senators in Utah · all elections
Fossil fuel use in Suriname · 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 Georgia and the second variable is Total Number of Successful Mount Everest Climbs.  The chart goes from 1975 to 2011, and the two variables track closely in value over that time. Small Image
View details about correlation #3,889


Mystery in the Sky: UFO Sightings in Georgia and Mount Everest Climbing Highs
The aliens were offering climbers secret shortcuts and extra oxygen in exchange for learning how to line dance. Guess even extraterrestrials can't resist a good hoedown at high altitudes!




What else correlates?
UFO sightings in Georgia · all random state specific
Total Number of Successful Mount Everest Climbs · 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 Ruby and the second variable is How cool Technology Connections YouTube video titles are.  The chart goes from 2015 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #5,179


Shining Bright or Just a Gem?: The Radiance of Ruby and the Tech-Titillating Titles on YouTube
Perhaps as more people were named Ruby, there was a spike in demand for stylish and trendy items, leading to a greater interest in cool technology. It's as if the name itself brought a touch of modernity and sleekness to everything it was associated with, including YouTube video titles about technology. It's like the Ruby effect - making even the nerdiest of topics seem fabulous. Or maybe, just maybe, there's a secret correlation between Ruby-named individuals and an innate ability to appreciate the coolest aspects of technology, creating a sort of 'tech-chic' trend that couldn't be ignored! It's a gem of a theory that shines brightly with whimsical charm!




What else correlates?
Popularity of the first name Ruby · all first names
How cool Technology Connections YouTube video titles are · all YouTube

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air pollution in Worcester, Massachusetts and the second variable is The number of motorcycle mechanics in Massachusetts.  The chart goes from 2003 to 2016, and the two variables track closely in value over that time. Small Image
View details about correlation #4,488


The Hazy Connection: A Study on the Relationship Between Air Pollution in Worcester, Massachusetts and the Number of Motorcycle Mechanics in Massachusetts
As air pollution decreased in Worcester, Massachusetts, there was less need for "exhausting" motorcycle repairs, leading to a decrease in the number of motorcycle mechanics in the state. Motorcycle mechanics were no longer "saddled" with as much work, as cleaner air meant fewer issues with engine performance and maintenance. It seems like the correlation between air pollution and the number of motorcycle mechanics was just a "bikey" coincidence!




What else correlates?
Air pollution in Worcester, Massachusetts · all weather
The number of motorcycle mechanics in Massachusetts · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for Republican Senators in Arkansas and the second variable is Kerosene used in Comoros.  The chart goes from 1980 to 2020, and the two variables track closely in value over that time. Small Image
View details about correlation #4,376


Fueling the Political Fire: A Combustible Connection Between Republican Votes in Arkansas and Kerosene Consumption in Comoros
As more Senators were elected in Arkansas, the surplus hot air from political debates was inadvertently collected and shipped to Comoros, where it was repurposed as an eco-friendly alternative to kerosene.




What else correlates?
Votes for Republican Senators in Arkansas · all elections
Kerosene used in Comoros · 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 Rhode Island and the second variable is Automotive recalls issued by Honda.  The chart goes from 1975 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #4,046


Spotted Lights and Automotive Plights: Rhode Island UFO Sightings and Honda Recalls Delights
The UFO sightings were giving off such strong 'Honda' waves, it was interfering with the cars' functioning, prompting the need for more recalls to address the otherworldly issues. It seems the aliens were really revving up their presence in Rhode Island, and Honda just couldn't keep their vehicles 'grounded' from the cosmic car trouble. It's like the UFOs were saying, "Take us to your dealer... for some recall repairs!"




What else correlates?
UFO sightings in Rhode Island · all random state specific
Automotive recalls issued by Honda · 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 Katlin and the second variable is Popularity of the 'slaps roof of car' meme.  The chart goes from 2006 to 2015, and the two variables track closely in value over that time. Small Image
View details about correlation #5,641


Slapdash Analyzation: Katlin's Connection to the 'Slaps Roof of Car' Phenomenon
As fewer and fewer people were named Katlin, there were simply less roofs of cars to slap.




What else correlates?
Popularity of the first name Katlin · all first names
Popularity of the 'slaps roof of car' meme · all memes

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air quality in Cincinnati and the second variable is The number of nurse practitioners in Ohio.  The chart goes from 2012 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #4,430


Oh, the Air We Share: A Pair of Affair Between Cincinnati Air Quality and Ohio Nurse Practitioners' Care
The improved air quality in Cincinnati led to a decrease in cases of respiratory illnesses. This, in turn, reduced the workload of current nurse practitioners, prompting the need for more nurse practitioners in Ohio to be hired to maintain the appropriate patient-to-nurse ratio. As a result, the number of nurse practitioners in Ohio increased in response to the unexpectedly clean air in Cincinnati.




What else correlates?
Air quality in Cincinnati · all weather
The number of nurse practitioners in Ohio · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for the Democratic Presidential candidate in North Carolina and the second variable is Fossil fuel use in Bahrain.  The chart goes from 1980 to 2020, and the two variables track closely in value over that time. Small Image
View details about correlation #4,355


Palm Votes and Oil Floats: A Spurious Correlation or a Political Mirage?
Every time a Democrat Presidential candidate in North Carolina gets more votes, a secret underground network of fossil fuel-loving moles in Bahrain receive a signal to ramp up their energy consumption in support. It's a classic case of political fervor igniting distant actions, fueled by a combination of patriotic passion and a penchant for prehistoric power sources!




What else correlates?
Votes for the Democratic Presidential candidate in North Carolina · all elections
Fossil fuel use in Bahrain · all energy

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How good PBS Space Time YouTube video titles are and the second variable is Automotive recalls for issues with the Electrical System.  The chart goes from 2015 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #4,889


Shockingly Good Titles: The Electrifying Connection Between PBS Space Time YouTube Video Titles and Automotive Recalls for Electrical System Issues
As more automotive recalls for electrical system issues occur, the energy in the universe becomes more unstable, leading to an exponential improvement in PBS Space Time video titles. Remember, a shocking title is the spark to intergalactic curiosity!




What else correlates?
How good PBS Space Time YouTube video titles are · all YouTube
Automotive recalls for issues with the Electrical System · 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 'florida man' meme and the second variable is Google searches for 'black hole photo'.  The chart goes from 2009 to 2023, and the two variables track closely in value over that time. Small Image
View details about correlation #5,794


Caught in a Meme Hole: The Correlation Between the 'Florida Man' Phenomenon and Google Searches for the Black Hole Photo
As the Florida man meme gained traction, the gravitational pull of its absurdity warped our collective sense of reality, inadvertently leading to a renewed interest in capturing the most mind-bending, space-defying moments - like finally photographing a black hole.




What else correlates?
Popularity of the 'florida man' meme · all memes
Google searches for 'black hole photo' · 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 Allegra and the second variable is The number of electrical and electronics repairers, commercial and industrial equipment in Pennsylvania.  The chart goes from 2003 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #5,913


Every time someone named Allegra walked into a room, they generated a small but noticeable electric charge, leading to an increase in demand for electrical and electronics repairers in order to keep up with the shocking surge of static electricity-related equipment malfunctions. It was like a real-life version of The Electric Allegra!



What else correlates?
Popularity of the first name Allegra · all first names
The number of electrical and electronics repairers, commercial and industrial equipment in Pennsylvania · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Votes for the Democratic Presidential candidate in Arkansas and the second variable is Gasoline pumped in Germany.  The chart goes from 1991 to 2020, and the two variables track closely in value over that time. Small Image
View details about correlation #4,302


Fueling the Vote: A Surprising Correlation Between Democrat Votes in Arkansas and Gasoline Consumption in Germany
As the enthusiasm for the Democrat candidate waned in Arkansas, the collective sighs led to a minor atmospheric disturbance. This disturbance, in turn, disrupted the jet stream in a way that slightly altered the atmospheric pressure systems above Germany, ultimately leading to a minuscule decrease in the efficiency of gasoline combustion. Remember, every vote counts, even in the world of fluid dynamics and atmospheric science!




What else correlates?
Votes for the Democratic Presidential candidate in Arkansas · all elections
Gasoline pumped in Germany · all energy

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How insightful Mark Rober YouTube video titles are and the second variable is Number of Lawyers in the United States.  The chart goes from 2011 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #4,331


The Ties Between Title Insightfulness in Mark Rober's YouTube Videos and the Total Tally of Lawyers in the United States
As the number of lawyers in the United States increases, the competition for clients becomes fiercer. To stand out, lawyers start honing their marketing strategies, and what better way to connect with potential clients than by demonstrating their insightfulness? So, they all turn to Mark Rober's videos for inspiration on crafting compelling and insightful content. After all, if they can't win cases, they might as well win the YouTube algorithm! As a result, Mark Rober's video titles become increasingly packed with wisdom and ingenuity as he inadvertently becomes the go-to guru for the legal industry, leading to a boom in insightful video titles. The verdict is in: it's a case of legal minds seeking YouTube finds!




What else correlates?
How insightful Mark Rober YouTube video titles are · all YouTube
Number of Lawyers in the United States · all weird & wacky

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 gender studies and the second variable is Air pollution in Deming, New Mexico.  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #5,795


Clearing the Air Around Gender Studies: A Bachelor's Degree of Separation from Air Pollution in Deming, New Mexico
As fewer students pursued degrees in these studies, there was a corresponding decrease in the production of academic hot air. This led to a significant reduction in verbal pollution levels, ultimately improving the air quality in Deming, New Mexico. As the discussions about gender, culture, and ethnic studies decreased, so did the atmospheric disruption, creating a more breathable and harmonious environment for all. It's a case of less academic discourse leading to cleaner, fresher air - truly a breath of relief for the residents of Deming!




What else correlates?
Bachelor's degrees awarded in gender studies · all education
Air pollution in Deming, New Mexico · all weather

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Popularity of the 'like a boss' meme and the second variable is The number of tree trimmers and pruners in Georgia.  The chart goes from 2006 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #5,347


Trimming Trees Like a Boss: Exploring the Relationship Between 'Like a Boss' Meme Popularity and Tree Trimmers and Pruners in Georgia
As the 'like a boss' meme gained traction, more and more people were inspired to take charge and show their tree trimming skills. The connection became clear - the meme was branching out a whole new wave of arborists. It seems like bark-eting themselves as the ultimate tree trimmers became the latest trend. After all, when you can leaf everyone in awe of your pruning prowess, why wouldn't you want to be a part of that sappy success? It's as if the meme was shouting, "Sequoia later, basic trimmers, Georgia's got a whole forest of boss-like professionals now!" And that's how the 'like a boss' meme not only went viral, but also cultivated a whole new forest of tree trimmers and pruners in Georgia. Talk about branching out in the job market! Keep on sprucing up those trees, Georgia, and remember to always handle your tasks like a true arborist boss!




What else correlates?
Popularity of the 'like a boss' meme · all memes
The number of tree trimmers and pruners in Georgia · 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 first name Storm and the second variable is Hydopower energy generated 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 #3,767


The Storm Surge: A Quirky Investigation into the Relationship between the Popularity of the Name Storm and Hydroelectric Power Generation in Kosovo
As the name Storm gained popularity, it created a ripple effect of enthusiasm and 'current'-ly charged energy in the region. The 'reign' of this electrifying name sparked a surge in hydropower generation, as people were 'flooded' with a renewed sense of 'watt'-er power. It seems the connection between the name Storm and hydropower in Kosovo is truly 'shock'-ing!




What else correlates?
Popularity of the first name Storm · all first names
Hydopower energy generated in Kosovo · all energy

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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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