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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 Google searches for 'matt levine' and the second variable is The number of college administrators in Ohio.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #5,895


The (Non) Noble Nexus: Navigating the Nexus between Google Searches for 'Matt Levine' and The Number of college administrators in Ohio
As more people delved into the world of finance through Matt Levine's writings, they were inspired to apply their newfound knowledge in unexpected ways. This led to a surge in individuals creating their own financial theories, prompting colleges in Ohio to hire additional administrators to review and integrate these unconventional ideas into their academic programs. It's a case of Matt-ematical expansion in the education sector!




What else correlates?
Google searches for 'matt levine' · all google searches
The number of college administrators 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 Difference in score of Steinfeld Cup Final teams and the second variable is Tickets Sold for the Top Movie of the Year.  The chart goes from 2001 to 2013, and the two variables track closely in value over that time. Small Image
View details about correlation #2,401


The Big Score: Analyzing the Reel Connection Between Steinfeld Cup Final Teams and Box Office Booms
As the difference in score decreased, fans of the losing team were feeling more down, leading to a decrease in overall enthusiasm. This disparity in team performance really affected the box office, creating a net loss in ticket sales for the top movie of the year. We can say it really threw a 'fowl' on the whole movie-going experience.




What else correlates?
Difference in score of Steinfeld Cup Final teams · all sports
Tickets Sold for the Top Movie of the Year · all films & actors

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Butter consumption and the second variable is Biomass power generated in Lithuania.  The chart goes from 2001 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #1,709


Spreading Power: Uncovering the Butterly Connection Between Butter Consumption and Biomass Power Generation in Lithuania
The extra butter intake led to an increase in flatulence, creating more methane for biomass power generation in Lithuania. Looks like butter really is the greener spread!




What else correlates?
Butter consumption · all food
Biomass power generated in Lithuania · all energy

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 Tristen and the second variable is Asthma attacks in American children.  The chart goes from 1997 to 2019, and the two variables track closely in value over that time. Small Image
View details about correlation #2,596


The Wheezy Woes of Tristen: A Statistical Analysis of the Link between Tristen's Popularity and Asthma Attacks in American Children
Fewer Tristens meant less air was being taken up by dramatic sighs, thereby reducing the overall respiratory distress in the country.




What else correlates?
Popularity of the first name Tristen · all first names
Asthma attacks in American children · all weird & wacky

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is How 'hip and with it' LockPickingLawyer YouTube video titles are and the second variable is Popularity of the 'y u no' 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 #5,142


LockPickingLawyer's Clickbait Capers and the 'Y U No' Meme: A Hip Connection Analysis
As the 'y u no' meme started to fade, it took with it the very essence of hipness, leaving the LockPickingLawyer feeling oddly less trendy with each video he titled. It seems the meme magic was the key to his coolness all along. Remember, when it comes to internet culture, memes may come and go, but the adept art of lock picking is always on trend!




What else correlates?
How 'hip and with it' LockPickingLawyer YouTube video titles are · all YouTube
Popularity of the 'y u no' meme · all memes

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 Legal professions and studies and the second variable is Cenovus Energy's stock price (CVE).  The chart goes from 2011 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,906


Associates Awards in Adjudication: An Analysis of the Alleged Impact on Cenovus Energy's Stock Price
As the number of legal associates dwindled, there was a sharp rise in courtroom antics. With fewer qualified professionals, the legal system became a full-blown circus. Amidst all the chaos, Cenovus Energy found themselves in the middle of a ridiculous lawsuit. It turns out, the case revolved around the rights to a long-lost, highly sought-after oil well, which was accidentally built upon by a clown academy. The whole debacle not only drained Cenovus Energy of resources but also left investors juggling their priorities, ultimately leading to a slippery slope for their stock price.




What else correlates?
Associates degrees awarded in Legal professions and studies · all education
Cenovus Energy's stock price (CVE) · all stocks

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 Franklin and the second variable is Season rating of Two and a Half Men.  The chart goes from 2004 to 2015, and the two variables track closely in value over that time. Small Image
View details about correlation #1,403


Franklin, My Dear Watson: Exploring the Fickle Nature of Names and TV Fame in 'Two and a Half Men' Season Ratings
Every time someone named Franklin tuned in to watch, they couldn't help but laugh at all the puns and dad jokes, creating a subconscious laugh track that boosted the ratings. Additionally, the influx of Franklins sparked a new fan theory that the show was secretly an allegory for Benjamin Franklin's life, leading to renewed interest and speculation. The name Franklin just had a magnetic pull on the success of the show, like a quirky sitcom magnet.




What else correlates?
Popularity of the first name Franklin · all first names
Season rating of "Two and a Half Men" · all films & actors

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Annual US household spending on laundry and cleaning supplies and the second variable is Google searches for 'flights to Antarctica'.  The chart goes from 2004 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,045


The Dirty Laundry of Travel Aspirations: Exploring the Relationship between US Household Spending on Cleaning Supplies and Google Searches for 'Flights to Antarctica'
As US households spent more on laundry and cleaning supplies, they became obsessed with achieving the freshest, cleanest scent possible. This obsession extended to wanting the ultimate fresh air experience, leading people to search for flights to Antarctica, known for its crisp, pure air. After all, if your laundry smells like a refreshing polar breeze, why not experience the real deal, right? And who wouldn't want to see penguins rocking their spotless tuxedos in person? Maybe it's time for a new marketing slogan: "Antarctica: Because Freshness Matters!"




What else correlates?
Annual US household spending on laundry and cleaning supplies · all weird & wacky
Google searches for 'flights to Antarctica' · 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 'surprised pikachu' meme and the second variable is The number of middle school teachers in Puerto Rico.  The chart goes from 2010 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #5,137


Putting the Surprised in Statistical Significance: An Examination of the 'Surprised Pikachu' Meme and its Impact on Middle School Teacher Population in Puerto Rico
As the 'surprised Pikachu' meme gained traction, it led to an uptick in internet usage. This surge in online activity put a higher demand on the telecommunication infrastructure in Puerto Rico. To meet this demand, more tech companies invested in the region, creating job opportunities. With the expanding job market, there was a need for additional educators to support the growing number of families relocating to Puerto Rico. As a result, the popularity of the meme indirectly contributed to an increase in the number of middle school teachers in Puerto Rico.




What else correlates?
Popularity of the 'surprised pikachu' meme · all memes
The number of middle school teachers 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 Votes for the Democratic Presidential candidate in Delaware and the second variable is Jet fuel used in Greenland.  The chart goes from 1980 to 2020, and the two variables track closely in value over that time. Small Image
View details about correlation #4,541


Delving into the Democrat Vote- Jet Fuel Duo: A Delightful Discovery
Perhaps the Democrats promised to bring some "green energy" solutions to the table, revving up their campaign with a focus on alternative fuels. This ignited a "political climate change" in Delaware, leading to a surge in support for the party. As the enthusiasm for the Democratic candidate soared higher than a jumbo jet, it somehow fueled a ripple effect that reached all the way to Greenland, causing a "political jet stream" that lifted the demand for jet fuel. It's like they say, "where there's a 'blue' wave, there's a 'fuele' wave!" The connection may seem as far-fetched as a trans-Atlantic flight, but hey, in the world of wacky correlations, anything can happen!




What else correlates?
Votes for the Democratic Presidential candidate in Delaware · all elections
Jet fuel used in Greenland · all energy

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 Alanna and the second variable is The distance between Uranus and Venus.  The chart goes from 1975 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #1,528


The Stellar Influence of Alanna: A Celestial Analysis of Name Popularity and Planetary Distance
As more and more babies were named Alanna, the collective sound frequency of their parents proudly calling out to them created small but measurable sonic waves. Over time, these waves interfered with the gravitational pull between Uranus and Venus, inadvertently nudging them slightly further apart. The Alanna Effect, as it was dubbed by baffled astronomers, led to reevaluations of celestial mechanics and left everyone marveling at the cosmic consequences of baby name trends.




What else correlates?
Popularity of the first name Alanna · all first names
The distance between Uranus and Venus · all planets

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Google searches for 'smol' and the second variable is Customer satisfaction with American Airlines.  The chart goes from 2004 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #5,945


Silly Smol Searches and Satisfied Sky-surfers: An Alliterative Assessment of American Airlines’ Customer Satisfaction
As the internet's love for all things small grew, it inadvertently shrank American Airlines' list of customer complaints. It seems that the more people fixated on tiny, adorable things, the less they noticed the eensy-weensy inconveniences of air travel. It's as if the nation collectively decided that size really does matter, but in this case, smaller was better for everyone's happiness at 30,000 feet. So, perhaps the secret to a smoother flight experience wasn't just in the friendly skies, but in embracing the smol joys that make all the difference!




What else correlates?
Google searches for 'smol' · all google searches
Customer satisfaction with American Airlines · 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 sewing machine operators in Iowa and the second variable is Total comments on minutephysics YouTube videos.  The chart goes from 2011 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #4,284


Unraveling Threads of Influence: The Stitch Between Sewing Machine Operators in Iowa and Total Comment-ary on minutephysics YouTube Videos
As the skilled sewing machine operators dwindled in Iowa, their exceptional hand-eye coordination and nimble finger movements were sorely missed. This led to a decrease in the overall dexterity of the Iowa population. Consequently, Iowans found it increasingly challenging to perform tiny tasks, such as typing comments on minutephysics videos with the same level of precision and speed as before. This ultimately resulted in a dip in the total comments on minutephysics YouTube videos.




What else correlates?
The number of sewing machine operators in Iowa · all cccupations
Total comments on minutephysics 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 Master's degrees awarded in Military technologies and the second variable is Wind power generated in Kazakhstan.  The chart goes from 2012 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #2,740


Mastering the Winds: A Study of the Relationship Between Master's Degrees in Military Technologies and Wind Power Generation in Kazakhstan
As more military technology experts obtained their Master's degrees, they realized they could harness the power of top-secret, state-of-the-art wind technology to enhance Kazakhstan's wind power production. Armed with a deeper understanding of airflow dynamics and strategic wind turbine placement, these Master's graduates deployed their expertise to propel the nation's wind energy initiatives to new heights. In a twist of fate, their mission to defend the country ultimately blew new life into Kazakhstan's renewable energy sector.




What else correlates?
Master's degrees awarded in Military technologies · all education
Wind power generated in Kazakhstan · all energy

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 Edith and the second variable is Delta Airlines' stock price (DAL).  The chart goes from 2008 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #5,885


Edith or Not, Here Comes Delta: Analyzing the Edith Popularity and Delta Airlines' Stock Price Connection
As the name Edith gained popularity, there was a corresponding surge in grandmas jet-setting across the globe. These stylish senior citizens, or as some may call them "Edith-orial travelers", developed a preference for flying with Delta, leading to a boost in ticket sales and ultimately causing Delta Airlines' stock price to soar. It seems like this name trend really took off for the airline!




What else correlates?
Popularity of the first name Edith · all first names
Delta Airlines' stock price (DAL) · all stocks

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Cost to send a letter via the USPS and the second variable is Google searches for 'i am dizzy'.  The chart goes from 2006 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #2,607


Airmail Tales: The Vertigo of Postage Costs and Google Searches
People are getting light-headed from the shock of the new postage rates, leading to an uptick in searches for "i am dizzy." It's a real mail-biter!




What else correlates?
Cost to send a letter via the USPS · all weird & wacky
Google searches for 'i am dizzy' · all google searches

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 Business and management and the second variable is Popularity of the 'scumbag steve' meme.  The chart goes from 2011 to 2021, and the two variables track closely in value over that time. Small Image
View details about correlation #4,956


From Business Degrees to 'Scumbag Steve': A Meme-orable Correlation
As the number of Business and management Associates degrees awarded decreased, there was a corresponding decline in the production of office 'scumbags', leading to a decreased relevance for the 'scumbag steve' meme. Turns out, they couldn't manage to stay scummy without their degrees!




What else correlates?
Associates degrees awarded in Business and management · all education
Popularity of the 'scumbag steve' 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 Sunny and the second variable is Salesforce's stock price (CRM).  The chart goes from 2005 to 2022, and the two variables track closely in value over that time. Small Image
View details about correlation #2,927


Sunny Bunny, Money Honey: Investing in CRM with a Name that’s Funny
As the number of Sunnys grew, so did the demand for sunshine, leading to an overall increase in positivity. This positivity somehow found its way into the stock market, specifically boosting the performance of Salesforce, the leading provider of cloud-based solutions. It's like a ray of financial sunshine beaming down on CRM!




What else correlates?
Popularity of the first name Sunny · all first names
Salesforce's stock price (CRM) · all stocks

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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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