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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 Master's degrees awarded in Social sciences and history and the second variable is The number of title examiners, abstractors, and searchers in Nebraska.  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,097


Mastering the Connection: A Quantitative Analysis of Social Sciences and History Master's Degrees and Title Examiners, Abstractors, and Searchers in Nebraska
As fewer people became experts in social sciences and history, there was a statewide crisis of confidence in the accuracy of property titles. This led to an unprecedented wave of self-examination, with many Nebraskan title examiners deciding to pursue their true passion: competitive cornhusking. Remember, in Nebraska, even the job market is corny!




What else correlates?
Master's degrees awarded in Social sciences and history · all education
The number of title examiners, abstractors, and searchers in Nebraska · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of films in Sylvester Stallone's filmography and the second variable is Google searches for 'why do we have daylight savings time'.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,479


Stallone's Filmography: A Rocky Relationship with Daylight Savings Time
As the number of Sly movies rises, so does the need for more action-packed hours in the day. It's a classic case of Rocky influencing the clock-y! As audiences' demand for his films gains momentum, it seems that every blockbuster hit from Stallone leads to a Spring forward in questions about falling back. It's time to clock out of this theory before it's too late, but remember, in this scenario, Expendable doesn't mean it can't affect our valuable time. Yippee ki-yay, daylight!




What else correlates?
The number of films in Sylvester Stallone's filmography · all films & actors
Google searches for 'why do we have 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 GMO use in cotton in California and the second variable is Number of households headed by single fathers in the United States.  The chart goes from 2000 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #3,422


GMO Growth: Gleaning the Garish Gauntlet of Genetically Modified Cotton and the Growth of Gracious Guardianship: A Grandiose Governance Gamble
As the cotton plants grew bigger thanks to GMOs, they developed an overwhelming need for nurturing. This urge somehow transcended species boundaries, leading to a surge in single father households as the cotton plants sought out human dads to care for them. It seems like genetically modified cotton didn't just stop at being a cash crop; it also became the ultimate plant matchmaker for single fathers across the nation.




What else correlates?
GMO use in cotton in California · all food
Number of households headed by single fathers 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 Popularity of the first name Corey and the second variable is Motor vehicle thefts in New York.  The chart goes from 1985 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,395


Corey and Effect: Exploring the Vehicular Theft-Victim Nexus
Fewer people naming their kids Corey means there are fewer Coreys around to joyride in cars. It's a simple case of correlation with car stealing Corey's! Who would have thought that baby names could have such a big impact on crime rates?




What else correlates?
Popularity of the first name Corey · all first names
Motor vehicle thefts in New York · 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 Liquefied petroleum gas used in Central African Republic and the second variable is Wins for the Chicago White Sox.  The chart goes from 2008 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #3,290


Gas-ing Up the Scoreboard: The LPG-White Sox Wins Correlation in Central African Republic
The extra Liquefied petroleum gas in Central African Republic must have ignited a fiery passion in the Chicago White Sox, propelling them to victory. Looks like they really know how to turn up the heat and propane their way to winning!




What else correlates?
Liquefied petroleum gas used in Central African Republic · all energy
Wins for the Chicago White Sox · all sports

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is The number of pipelayers in New Mexico and the second variable is Google searches for 'desktop background'.  The chart goes from 2007 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #3,188


Digging into Data: The Novel Relationship Between Pipelayers in New Mexico and Google Searches for 'Desktop Background'
As the ranks of pipelayers in New Mexico dwindled, there was a noticeable ripple effect on the availability of PVC pipes. This shortage inadvertently led to a decrease in the production of picture frames, prompting a nationwide scarcity of aesthetically pleasing desktop backgrounds. Remember, when it comes to internet searches, sometimes the pipeline to results isn't as straightforward as we think!




What else correlates?
The number of pipelayers in New Mexico · all cccupations
Google searches for 'desktop background' · all google searches

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 maps and the second variable is Cummins' stock price (CMI).  The chart goes from 2008 to 2023, and the two variables track closely in value over that time. Small Image
View details about correlation #1,292


Mapping the Way to Market Success: The Correlation Between xkcd Comics on Maps and Cummins' Stock Performance
As the number of xkcd comics about maps increased, more people became interested in cartography, leading to a surge in demand for custom maps. This, in turn, boosted the sales of GPS and navigation systems, such as those produced by Cummins Inc. As the saying goes, "The map to financial success is often drawn with xkcd markers."




What else correlates?
xkcd comics published about maps · all weird & wacky
Cummins' stock price (CMI) · all stocks

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air pollution in Cincinnati and the second variable is Arson in United States.  The chart goes from 1985 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,354


Air Quality and Arson: Fuelling the Fire in Cincinnati
The cleaner air in Cincinnati meant that there was less soot to go around, leaving would-be arsonists feeling like they just couldn't make a clean getaway.




What else correlates?
Air pollution in Cincinnati · all weather
Arson in United States · 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 Multi/interdisciplinary studies and the second variable is Solar power generated in India.  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #3,136


Marvelous Multi/Interdisciplinary Master's and Majestic Solar Might: A Mirthful Match
As the number of Master's degrees awarded in Multi/Interdisciplinary Studies rose, so did the expertise in thinking outside the (solar) box. These interdisciplinary whiz-kids were able to bridge the gap between various fields, leading to sunny innovations in solar technology and implementation. It's a ray of sunshine to see how their versatile knowledge illuminated the path to greater solar power output in India. They definitely have a bright spark when it comes to energizing change!




What else correlates?
Master's degrees awarded in Multi/interdisciplinary studies · all education
Solar power generated in India · 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 physicists in Michigan and the second variable is Google searches for 'smol'.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #3,080


Quantum Quirkiness: The 'Smol' Impact of Physicists in Michigan on Google Searches
As the number of physicists in Michigan grows, so does the gravitational pull of their big brains. This tiny but mighty force attracts all things 'smol,' including the interest of internet users. It's a case of scientific minds making 'smol' matters feel like a quantum leap in importance.




What else correlates?
The number of physicists in Michigan · all cccupations
Google searches for 'smol' · 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 Nico and the second variable is Canadian Pacific Railway's stock price (CP).  The chart goes from 2002 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #3,676


All Aboard the Nico-nomic Train: A Name's Influence on Canadian Pacific Railway Stock Price
As the name Nico gained popularity, more parents were subconsciously drawn to anything "CP"-related, including toy trains. This led to a surge in demand for Canadian Pacific Railway toy sets, boosting the company's overall revenue and ultimately delighting investors. It's amazing how a simple name trend could unexpectedly keep the stock chugging along!




What else correlates?
Popularity of the first name Nico · all first names
Canadian Pacific Railway's stock price (CP) · all stocks

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is UFO sightings in Nebraska and the second variable is Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion.  The chart goes from 1979 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #1,514


The Unidentified Feast: A Sausage Link between UFO Sightings in Nebraska and Nathan's Hot Dog Eating Competition
The UFOs were actually advanced hot dog grilling machines in disguise, beaming down perfectly cooked hot dogs directly into the champion's mouth. After all, who wouldn't want to abduct some top-notch franks for their own intergalactic cookout?




What else correlates?
UFO sightings in Nebraska · all random state specific
Hotdogs consumed by Nathan's Hot Dog Eating Competition Champion · all weird & wacky

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 Wind power generated in Uruguay.  The chart goes from 2008 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #1,710


Pouring In: The Sudsy Link Between Breweries in the United States and Wind Power Generation in Uruguay
As the number of breweries in the United States shot up, so did the production of beer. This led to a spike in demand for hops, causing farmers to clear more land for hop crops. Subsequently, the increased clearing of land created stronger, beer-driven air currents that wafted all the way to Uruguay, inadvertently boosting their wind power generation. It seems the brewing industry is really ale-vating the world of renewable energy!




What else correlates?
The number of Breweries in the United States · all food
Wind power generated in Uruguay · all energy

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 Engineering technologies and the second variable is The number of probation officers in Arizona.  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,653


Engineering a Probationary Connection: The Bachelor's Degrees and the Bureau in Arizona
As the number of students excelled in Engineering technologies, it led to a surge in designing and building pun-derful machines. With all these 'model' citizens, the demand for probation officers in Arizona rose as they had to 'field' any potential 'mechanical' troublemakers. It seems like these technology enthusiasts were really 'gearing' up the need for supervision!




What else correlates?
Bachelor's degrees awarded in Engineering technologies · all education
The number of probation officers in Arizona · 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 Kodi and the second variable is ICON PLC's stock price (ICLR).  The chart goes from 2002 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #3,597


Feeling the Kodi: Exploring the Impact of Name Popularity on Stock Market Success
As the name Kodi gained popularity, more parents were inspired to name their kids after multimedia software. This led to a surge in demand for technological products, including the devices used in ICON PLC's clinical research. The stock price rose as investors realized that the company was now at the ICON-vergence of this electronic baby boom.




What else correlates?
Popularity of the first name Kodi · all first names
ICON PLC's stock price (ICLR) · all stocks

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Air pollution in Chicago and the second variable is Viewership count for Days of Our Lives.  The chart goes from 1980 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,458


Airborne Atrocities: Analyzing the Amusing Association between Air Pollution in Chicago and Viewership Count for Days of Our Lives
The decrease in air pollution led to clearer skies and better outdoor visibility. As a result, more people engaged in outdoor activities instead of staying indoors to watch Days of Our Lives. This lowered the viewership count for the show. After all, who needs soap operas when you can have cleaner air and a real-life drama-free day out in the city?




What else correlates?
Air pollution in Chicago · all weather
Viewership count for Days of Our Lives · all weird & wacky

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Google searches for 'cute cats' and the second variable is Liquefied petroleum gas used in Latvia.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #2,212


Fascinating Feline Fad: The Furry Link Between 'Cute Cats' Searches and Liquefied Petroleum in Latvia
As the number of cute cat videos and memes surged, people couldn't resist the urge to pamper their pets with luxurious cat spa experiences, complete with LPG-powered cat saunas and hot tubs, leading to a spike in LPG usage in Latvia. Because nothing says 'feline fine' like a gas-powered relaxation session!




What else correlates?
Google searches for 'cute cats' · all google searches
Liquefied petroleum gas used in Latvia · all energy

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Maria Sharapova's WTA Title Count and the second variable is The number of farm equipment mechanics in New Hampshire.  The chart goes from 2010 to 2017, and the two variables track closely in value over that time. Small Image
View details about correlation #1,656


Match Point: Correlating Maria Sharapova's WTA Title Count with the Agricultural Affairs of New Hampshire
Every time Maria aced her opponent, it inspired someone to 'serve' the farming community. As her WTA title count rose, so did the 'rural racket' of farm equipment mechanics in New Hampshire. It's as if her success was the 'seed' that sprouted a newfound interest in all things agricultural machinery. After all, when Maria was on fire, it was only natural for others to want to 'rake' in their own victories, 'harvest' their skills, and 'plow' through any obstacles in their career paths. It's safe to say that Maria Sharapova's triumphs didn't just stay confined to the tennis court - they served as a 'grand slam' of motivation for aspiring farm equipment mechanics in the 'granite state.'




What else correlates?
Maria Sharapova's WTA Title Count · all sports
The number of farm equipment mechanics in New Hampshire · all cccupations

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is American cheese consumption and the second variable is Apple's stock price (AAPL).  The chart goes from 2002 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,939


The Big Cheese: An Examination of the Relationship Between American Cheese Consumption and Apple's Stock Price
As American cheese consumption melted its way into the hearts of people across the nation, it led to an increase in demand for burgers and sandwiches. This, in turn, boosted the performance of fast-food chains like McDonald's and Starbucks. As these chains sizzled with success, their widespread use of technology, including Apple products for everything from taking orders to playing background music, led to a surge in demand for Apple stock. As cheesy as it may sound, the love for American cheese somehow became gouda for Apple's stock price!




What else correlates?
American cheese consumption · all food
Apple's stock price (AAPL) · all stocks

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Arson in Minnesota and the second variable is Physical album shipment volume in the United States.  The chart goes from 1999 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,516


Playing with Fire: The Dire Link Between Arson in Minnesota and Physical Album Shipment Volume in the United States
The firefighters in Minnesota finally extinguished their mixtape, leading to a statewide arson decrease. With fewer fires to put out, the physical album shipment volume in the United States decreased as there was no longer a burning demand for music.




What else correlates?
Arson in Minnesota · all random state specific
Physical album shipment volume in the United States · all weird & wacky

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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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