Spurious correlation #1,235 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Movie Releases in the US & Canada and the second variable is Jet fuel used in Finland. The chart goes from 1980 to 2022, and the two variables track closely in value over that time.

A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Movie Releases in the US & Canada and the second variable is Jet fuel used in Finland. The chart goes from 1980 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

The influx of high-octane action films has ignited a passion for aviation in Finland, leading to a soar in demand for jet fuel! It seems like Hollywood isn't just fueling entertainment, but also the skies above, propelling the Finnish aviation industry to new heights! With all these blockbuster movies taking off, it's no wonder that even the jet fuel in Finland is getting a reel boost!

^{Show image generation prompt} Model: dalle-3
Prompt: [An image that looks like it is a scene from 'Star Wars'] Below the towering skyline of a bustling North American city, a sprawling airport teems with activity. Planes of various shapes and sizes land and take off continuously, leaving trails of jet exhaust in their wake. The air is alive with the vibrant colors of the aircraft as passengers eagerly embark on their journeys, bound for distant destinations. Meanwhile, in the picturesque landscapes of Finland, popular filming locations come to life as tourists flock to the iconic spots. Movie-themed tours buzz with excitement, and cafes and shops bustle with activity as enthusiasts immerse themselves in the magic of their favorite films. The enchanting beauty of the Finnish scenery serves as a backdrop to the fervor of movie fans seeking to experience their beloved stories firsthand. This visual encapsulates the dynamic interaction between the two regions, hinting at the flow of movie enthusiasts from North America to Finland, depicting the ensuing increase in air travel amid the enchanting allure of cinematic exploration. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.

This image generation prompt was also generated by AI, using the following sequence:

Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the situation described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here is a situation: "Fueling the Fun: Study Shows Movie Releases in US & Canada Cause Jet Fuel Surge in Finland. Experts theorize that as more movies hit theaters, viewers in North America are jetting off to Finland to see the filming locations first-hand, leading to an unexpected spike in jet fuel consumption in the Nordic country. The phenomenon has been dubbed 'the Hollywood Helsinki effect'.". Given that situation, which of the following image descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand and the tone of the explanation. Please respond with only one of the following potential descriptions: Brutalism An image that looks like it is a scene from 'Star Wars' Scalar art A black-and-white newspaper illustration Cutsy art illustration
ChatGPT: An image that looks like it is a scene from 'Star Wars'

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated and the explanation described. Do not reference graphs or charts; describe physical objects.
User prompt: Please describe a visual scene that depicts the following situation. Keep the description simple. "Fueling the Fun: Study Shows Movie Releases in US & Canada Cause Jet Fuel Surge in Finland. Experts theorize that as more movies hit theaters, viewers in North America are jetting off to Finland to see the filming locations first-hand, leading to an unexpected spike in jet fuel consumption in the Nordic country. The phenomenon has been dubbed 'the Hollywood Helsinki effect'."
ChatGPT: In the first visual scene, we see a busy airport in North America with planes taking off and landing frequently. The bustling activity indicates the excitement of movie releases and people's eagerness to travel. Meanwhile, in Finland, we observe popular filming locations being visited by tourists, with sights such as movie-themed tours and bustling cafes and shops. This paints the picture of movie enthusiasts from North America flocking to Finland to experience the magic of their favorite films firsthand, leading to an increase in air travel and jet fuel consumption.

Model: gpt-3.5-turbo-1106
System prompt: You write and improve image generation prompts for DALLE-3. You maintain the same subjects, but enhance the visuals.
User prompt: Please respond with an image generation prompt that would be likely to create an interesting visual using DALLE-3, using the following style: [ An image that looks like it is a scene from 'Star Wars' ] and depicting this scene: In the first visual scene, we see a busy airport in North America with planes taking off and landing frequently. The bustling activity indicates the excitement of movie releases and people's eagerness to travel. Meanwhile, in Finland, we observe popular filming locations being visited by tourists, with sights such as movie-themed tours and bustling cafes and shops. This paints the picture of movie enthusiasts from North America flocking to Finland to experience the magic of their favorite films firsthand, leading to an increase in air travel and jet fuel consumption. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: [An image that looks like it is a scene from 'Star Wars'] Below the towering skyline of a bustling North American city, a sprawling airport teems with activity. Planes of various shapes and sizes land and take off continuously, leaving trails of jet exhaust in their wake. The air is alive with the vibrant colors of the aircraft as passengers eagerly embark on their journeys, bound for distant destinations. Meanwhile, in the picturesque landscapes of Finland, popular filming locations come to life as tourists flock to the iconic spots. Movie-themed tours buzz with excitement, and cafes and shops bustle with activity as enthusiasts immerse themselves in the magic of their favorite films. The enchanting beauty of the Finnish scenery serves as a backdrop to the fervor of movie fans seeking to experience their beloved stories firsthand. This visual encapsulates the dynamic interaction between the two regions, hinting at the flow of movie enthusiasts from North America to Finland, depicting the ensuing increase in air travel amid the enchanting allure of cinematic exploration.

*Variations in the User Prompts from chart to chart are just the result of random number generation in Python. I wrote a few arrays of various styles and methods to ask questions to change up the results. Every time this site writes an explanation or generates an image, the script picks from each at random.

I sequence the requests into multiple prompts because I find GPT 3.5 to perform much better with short, well-managed contexts. Thus, I track the context directly in Python and only ask ChatGPT targeted questions.
^{Show prompt for explanation} Model: gpt-3.5-turbo-1106 (fine-tuned)
System prompt: You provide humorous responses in the form of plausible sounding explanations for correlations. You assume the correlation is causative for the purpose of the explanation even if it is ridiculous. You do not chat with the user, you only reply with the causal connection explanation and nothing else.
User prompt: Please make up a funny explanation for how an increase in Movie Releases in the US & Canada caused Jet fuel used in Finland to increase. Include one good pun.

AI academic paper

(Because p < 0.01)

Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland

The International Journal of Cinematic Energy Analysis

Jan 2024

Reminder: This paper is AI-generated. Not real!

^{Show prompt used to generate this paper} Quick note: This sequence is long and repetitive. That's how the prompt engineering works for this one. I manage the output in Python to format it into this PDF.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft a literature review section of an academic research paper, that starts out dry for the first few sentences but then becomes hilarious and goofy.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a literature review section of an academic research paper presenting the findings of the connection between Movie Releases in the US & Canada and Jet fuel used in Finland. Make lots of jokes, goofy observations, and puns.

Speak in the present tense for this section (the authors find...), as is common in academic research paper literature reviews. Name the sources in a format similar to this: In "Book," the authors find lorem and ipsum.

Make up the lorem and ipsum part, but make it sound related to the topic at hand.

Start by naming serious-sounding studies by authors like Smith, Doe, and Jones - but then quickly devolve. Name some real non-fiction books that would be related to the topic. Then name some real fiction books that sound like they could be related. Then cite some social media posts you read that seem to be related.

Here is the title and abstract of the paper:
[[TITLE]]
"Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland"

[[ABSTRACT]]
Lights, camera, action! While most researchers are busy analyzing traditional factors influencing jet fuel consumption, our research team took a more cinematic approach by investigating its correlation with movie releases in the US & Canada. After analyzing data from Statista and the Energy Information Administration, we uncovered a surprising correlation coefficient of 0.8219396 and p < 0.01 for the period spanning from 1980 to 2022. This fuelish connection may just be the plot twist the energy industry needs! We discuss the possible explanations and implications of this unexpected relationship, with a touch of blockbuster humor.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
Lights, camera, and high-octane jet fuel consumption! Our research delves into the unexpected intertwining of two seemingly disparate worlds - the glitz and glamour of Hollywood movie releases in the US & Canada, and the unassuming hum of jet engines guzzling fuel in Finland. While it might seem like a convoluted plotline from a B-list movie, the correlation we have unearthed between these two phenomena is nothing short of a blockbuster twist.
As researchers, we are accustomed to probing into conventional factors that impact jet fuel consumption. However, in a moment of inspiration akin to a dramatic movie montage, we turned our attention to the silver screen and the energy-rich skies above Finland. The result? A surprising correlation coefficient of 0.8219396 and p < 0.01, spanning decades of data from 1980 to 2022. This revelation not only left us reaching for our popcorn but also opened doors to a new dimension of understanding and, dare I say, entertainment, in the field of energy economics.
Before we dive into the intricacies of our findings, it’s worth noting that the connection between movie releases in North America and jet fuel consumption in Finland is not merely a whimsical curiosity. Instead, it unveils a tangled web of economic, cultural, and possibly even cosmic forces at play. Just as a blockbuster film combines elements of action, romance, and unexpected plot twists, our research interweaves the realms of popular culture and energy economics in a way that will leave readers both enlightened and entertained.
In this paper, we’ll dissect the data, make some shameless puns, and explore the potential implications of this jet-setting correlation for both the film industry and the energy sector. So buckle up and grab your 3D glasses, because this research journey promises to be a wild ride, complete with suspense, a dash of humor, and a grand finale that ties together two worlds in a way nobody saw coming.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

Smith et al. (2015) conducted a comprehensive analysis of the energy consumption patterns in Scandinavian countries, with a particular emphasis on Finland's peculiar penchant for jet fuel. While their work focused primarily on traditional factors such as industrial growth and transportation demands, they might have missed the blockbuster twist lurking in the shadows – the influence of Hollywood's latest releases on jet fuel consumption. It seems they were star-struck by conventional explanations, failing to realize that the real action was happening on the silver screen.

Similarly, Doe and Jones (2018) delved into the intricate web of global energy dynamics, shedding light on the role of movie industry trends in shaping consumer behavior. Little did they know that while they were busy crunching numbers, the box office hits and misses were stealthily impacting the fuel consumption of jet-setting aircraft thousands of miles away in Finland.

Moving beyond the confines of academic research, let’s take a whimsical detour into the world of non-fiction literature. In "Jet Engines and Cinema: A Tale of Two Industries" by Aviation Enthusiast Weekly, the authors dabbled in the unlikely intersection of cinematic entertainment and the high-flying realm of aviation. While the main focus was on the technical aspects of jet engines and the magic of movies, they overlooked the potential for a fuelish connection that defies all logic and reason.

Now, onto the intriguing world of fiction that could very well have a whisper of relevance to our seemingly preposterous correlation. "The Jet Setter's Guide to Movie Stardom" by Novella Novocaine might appear to be a work of pure imagination, but the subtle threads of jet fuel and movie releases woven into the plotline give us pause. Could this whimsical tale hold a clue to the unexplored depths of our research subject? Or is it simply a flight of fancy, much like the wild theories that go up in smoke when scrutinized under academic rigor?

Adding a dash of contemporary flair to our literature review, let’s not overlook the wisdom – or lack thereof – conveyed through social media musings. In a tweet by @EnginesAndFlicks, a self-proclaimed aficionado of all things airborne and cinematic, the tantalizing question lingers: "Is there more to Finland's jet fuel consumption than meets the eye? Perhaps the latest Marvel release holds the answer. #JetSetterCinemaConspiracy." While this may appear to be mere online banter, could there be a kernel of truth buried within this lighthearted speculation? Stay tuned as we unravel this jet-setting mystery. Tune in next time for the thrilling conclusion – or will it simply turn out to be a cliffhanger?

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the methodology section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the methodology section of an academic research paper presenting the findings of the connection between Movie Releases in the US & Canada and Jet fuel used in Finland. Make lots of jokes, goofy observations, and puns.

Your research team collected data from all across the internet, but mostly just used information from Statista and Energy Information Administration . You used data from 1980 to 2022

Make up the research methods you don't know. Make them a bit goofy and convoluted.

Here is the title, abstract, and introduction of the paper:
[[TITLE]]
"Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland"

[[ABSTRACT]]
Lights, camera, action! While most researchers are busy analyzing traditional factors influencing jet fuel consumption, our research team took a more cinematic approach by investigating its correlation with movie releases in the US & Canada. After analyzing data from Statista and the Energy Information Administration, we uncovered a surprising correlation coefficient of 0.8219396 and p < 0.01 for the period spanning from 1980 to 2022. This fuelish connection may just be the plot twist the energy industry needs! We discuss the possible explanations and implications of this unexpected relationship, with a touch of blockbuster humor.

[[INTRODUCTION]]
Lights, camera, and high-octane jet fuel consumption! Our research delves into the unexpected intertwining of two seemingly disparate worlds - the glitz and glamour of Hollywood movie releases in the US & Canada, and the unassuming hum of jet engines guzzling fuel in Finland. While it might seem like a convoluted plotline from a B-list movie, the correlation we have unearthed between these two phenomena is nothing short of a blockbuster twist.
As researchers, we are accustomed to probing into conventional factors that impact jet fuel consumption. However, in a moment of inspiration akin to a dramatic movie montage, we turned our attention to the silver screen and the energy-rich skies above Finland. The result? A surprising correlation coefficient of 0.8219396 and p < 0.01, spanning decades of data from 1980 to 2022. This revelation not only left us reaching for our popcorn but also opened doors to a new dimension of understanding and, dare I say, entertainment, in the field of energy economics.
Before we dive into the intricacies of our findings, it’s worth noting that the connection between movie releases in North America and jet fuel consumption in Finland is not merely a whimsical curiosity. Instead, it unveils a tangled web of economic, cultural, and possibly even cosmic forces at play. Just as a blockbuster film combines elements of action, romance, and unexpected plot twists, our research interweaves the realms of popular culture and energy economics in a way that will leave readers both enlightened and entertained.
In this paper, we’ll dissect the data, make some shameless puns, and explore the potential implications of this jet-setting correlation for both the film industry and the energy sector. So buckle up and grab your 3D glasses, because this research journey promises to be a wild ride, complete with suspense, a dash of humor, and a grand finale that ties together two worlds in a way nobody saw coming.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To unravel the enigmatic connection between movie releases in the US & Canada and the consumption of jet fuel in Finland, our research team embarked on a wild expedition into the realms of data gathering, statistical analysis, and a healthy dose of good-natured skepticism.

Data Collection:
We scoured the vast expanse of the internet, much like intrepid adventurers, seeking to unearth every nugget of relevant information. While we indulged in the allure of various sources, including the hallowed halls of Statista and the Energy Information Administration, our quest for data was not without its pitfalls. We sifted through decades of historical records, bravely navigating the treacherous terrain of spurious correlations and exaggerated claims, ultimately emerging triumphant with a treasure trove of meticulously curated data spanning the years 1980 to 2022.

Statistical Sorcery:
Armed with an arsenal of statistical tools and a touch of wizardry (not really, just good old-fashioned number crunching), we subjected the collected data to a rigorous analysis. We employed correlation coefficients, regression models, and other statistical incantations to decipher the tangled web of numbers and unveil the elusive relationship between movie releases and jet fuel consumption. As we delved into the depths of statistical significance, our trusty p-values acted as guiding stars in the murky night sky of data analysis, illuminating the path to our unexpected yet undeniable findings.

Cross-Continental Comparisons:
The juxtaposition of Hollywood glitz and Finnish jet fuel consumption demanded a cross-continental approach to our research methodology. We navigated the perilous waters of transnational data comparison with the finesse of a seasoned sailor, braving the stormy seas of cultural differences and numerical disparities. Through this daring endeavor, we sought to uncover the universal threads that bind box office blockbusters and airborne fuel consumption, transcending geographical boundaries to reveal the underlying harmony (or discord) between these seemingly incongruous entities.

Unveiling the Plot Twist:
Amidst the data wrangling and statistical acrobatics, we maintained a keen sense of humor (and a sharp eye for puns) to infuse our methodology with a touch of levity. We recognize that the pursuit of knowledge should not be devoid of laughter, and thus, we integrated moments of mirth and amusement into our methodological approach, ensuring that our research journey was as entertaining as it was enlightening.

Ultimately, our methodology served as a compass guiding us through uncharted territories of research, leading to the unearthing of a correlation that rivals the most captivating plot twists in cinematic history. So, with our capes fluttering in the winds of academic inquiry, we ventured forth to unravel the curious connection between movie magic and soaring fuel consumption.

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of an academic research paper.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up the discussion section of an academic research paper presenting the findings of the connection between Movie Releases in the US & Canada and Jet fuel used in Finland. Make lots of jokes, goofy observations, and puns.

Limit your response to 500 tokens.

Here are the title, abstract, literature review, and results sections. Please harken back to 1-2 of the goofy items in the literature review, but pretend to take them completely seriously. Discuss how your results supported the prior research.

Do not write a conclusion. I will add a conclusion after this.

[[TITLE]]
"Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland"

[[ABSTRACT]]
Lights, camera, action! While most researchers are busy analyzing traditional factors influencing jet fuel consumption, our research team took a more cinematic approach by investigating its correlation with movie releases in the US & Canada. After analyzing data from Statista and the Energy Information Administration, we uncovered a surprising correlation coefficient of 0.8219396 and p < 0.01 for the period spanning from 1980 to 2022. This fuelish connection may just be the plot twist the energy industry needs! We discuss the possible explanations and implications of this unexpected relationship, with a touch of blockbuster humor.

[[LITERATURE REVIEW]]
Smith et al. (2015) conducted a comprehensive analysis of the energy consumption patterns in Scandinavian countries, with a particular emphasis on Finland's peculiar penchant for jet fuel. While their work focused primarily on traditional factors such as industrial growth and transportation demands, they might have missed the blockbuster twist lurking in the shadows – the influence of Hollywood's latest releases on jet fuel consumption. It seems they were star-struck by conventional explanations, failing to realize that the real action was happening on the silver screen.
Similarly, Doe and Jones (2018) delved into the intricate web of global energy dynamics, shedding light on the role of movie industry trends in shaping consumer behavior. Little did they know that while they were busy crunching numbers, the box office hits and misses were stealthily impacting the fuel consumption of jet-setting aircraft thousands of miles away in Finland.
Moving beyond the confines of academic research, let’s take a whimsical detour into the world of non-fiction literature. In "Jet Engines and Cinema: A Tale of Two Industries" by Aviation Enthusiast Weekly, the authors dabbled in the unlikely intersection of cinematic entertainment and the high-flying realm of aviation. While the main focus was on the technical aspects of jet engines and the magic of movies, they overlooked the potential for a fuelish connection that defies all logic and reason.
Now, onto the intriguing world of fiction that could very well have a whisper of relevance to our seemingly preposterous correlation. "The Jet Setter's Guide to Movie Stardom" by Novella Novocaine might appear to be a work of pure imagination, but the subtle threads of jet fuel and movie releases woven into the plotline give us pause. Could this whimsical tale hold a clue to the unexplored depths of our research subject? Or is it simply a flight of fancy, much like the wild theories that go up in smoke when scrutinized under academic rigor?
Adding a dash of contemporary flair to our literature review, let’s not overlook the wisdom – or lack thereof – conveyed through social media musings. In a tweet by @EnginesAndFlicks, a self-proclaimed aficionado of all things airborne and cinematic, the tantalizing question lingers: "Is there more to Finland's jet fuel consumption than meets the eye? Perhaps the latest Marvel release holds the answer. #JetSetterCinemaConspiracy." While this may appear to be mere online banter, could there be a kernel of truth buried within this lighthearted speculation? Stay tuned as we unravel this jet-setting mystery. Tune in next time for the thrilling conclusion – or will it simply turn out to be a cliffhanger?

[[RESULTS]]
The results of our analysis revealed a correlation coefficient of 0.8219396 between movie releases in the US & Canada and jet fuel consumption in Finland. In other words, there's a strong connection between the flicks that light up the big screen and the fuel that powers the high-flying jets! It's as if Hollywood and Helsinki have been secretly coordinating their releases and fuel usage all this time, creating a plotline worthy of an international espionage thriller.
The r-squared value of 0.6755846 indicates that a whopping 67.5% of the variability in jet fuel consumption in Finland can be explained by the number of movie releases in the US & Canada. Who would have thought that the adventures of superheroes, rom-com protagonists, or even intergalactic space odysseys could have such a significant impact on the fuel habits of an entire country? It's almost as if every movie release is a carefully orchestrated explosion of excitement, mirrored in the consumption of jet fuel thousands of miles away.
Furthermore, with a p-value of less than 0.01, we can confidently reject the null hypothesis that there is no relationship between these two variables. This means that the connection we've uncovered is more statistically significant than an A-list celebrity making a surprise cameo in a straight-to-DVD movie.
But fear not, dear reader, we won't leave you to simply imagine this fuelish connection. Behold, the visual manifestation of our findings – Fig. 1 – a scatterplot that proudly displays the strong positive correlation between movie releases in the US & Canada and jet fuel consumption in Finland. The points on the graph are as tightly packed as the seats in a sold-out movie theatre on opening night, showcasing the undeniable link between these seemingly unrelated phenomena.
In summary, our results not only confirm the existence of a compelling relationship between the glitzy world of cinema and the unassuming skies above Finland, but they also offer a tantalizing glimpse into an unfolding drama that blurs the boundaries between entertainment and energy economics. This unexpected correlation is sure to keep audiences at the edge of their seats, eagerly awaiting the next twist in this surprising narrative of movie magic and fuel consumption.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

Lights, camera, discussion! Our findings have illuminated a tantalizing connection between Hollywood's finest releases and the insatiable thirst for jet fuel in the picturesque skies of Finland. The seemingly disparate worlds of entertainment and energy have collided in a spectacular display of correlation, leaving even the most seasoned researchers scratching their heads in astonishment. As we dive into the depths of this fuelish connection, let's reflect on how our results align with the existing literature – from the serious to the hilariously speculative.

Our discovery of a strong correlation coefficient between movie releases in the US & Canada and jet fuel consumption in Finland supports the star-struck oversights of Smith et al. (2015) and Doe and Jones (2018), who failed to grasp the potential influence of Hollywood blockbusters on aviation fuel dynamics. It appears that our data has swooped in like a superhero to rescue these academic oversights from the clutches of oversight villains. Furthermore, our results have embraced the whimsical musings of Novella Novocaine and @EnginesAndFlicks, transforming their flight of fancy into a soaring revelation of unforeseen significance. Who could have guessed that a Twitter conspiracy theory would take flight in the world of statistical analysis?

Moreover, the R-squared value of 0.6755846 serves as a powerful testament to the undeniable impact of movie releases on jet fuel consumption in Finland, lending statistical solidity to our fuel-powered narrative. With a p-value of less than 0.01, our results have trounced the skeptics, defying the odds like a surprise sequel that surpasses the original. This statistically significant relationship is more substantial than a classic plot twist, proving that truth is indeed stranger than fiction.

In conclusion, our analysis has not only confirmed the existence of a remarkable correlation between the glitz of Hollywood and the unsung heroism of Finnish jet fuel demand, but it has also thrust this fuelish connection into the spotlight of scholarly intrigue. This discovery is poised to set the stage for future research that transcends the boundaries of traditional energy economics, leaving the audience eagerly anticipating the sequel to this unexpected saga of movie magic and fuel consumption. Stay tuned for the exhilarating conclusion – or will it be a cliffhanger that rivals the most suspenseful of blockbuster endings? The saga continues!

Model: gpt-3.5-turbo-1106
System prompt: You are a goofy academic researcher writing an academic paper. You follow the rules, but you throw out convention regularly to make jokes and funny asides.You draft the discussion section of goofy academic research papers that sounds like it belongs based on the title and abstract provided.
User prompt:
Pretend you are an academic researcher. Your writing sounds like it belongs in a medical or economics journal. However, you frequently crack jokes, make puns, or add unexpected twists in your writing.

Please make up a short conclusion of an academic research paper presenting the findings of the connection between Movie Releases in the US & Canada and Jet fuel used in Finland. Make lots of jokes, goofy observations, and puns.

Limit your response to 300 tokens. At the very end, assert that no more research is needed in this area.

Here are the title, abstract, introduction, and results sections.
[[TITLE]]
"Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland"

[[ABSTRACT]]
Lights, camera, action! While most researchers are busy analyzing traditional factors influencing jet fuel consumption, our research team took a more cinematic approach by investigating its correlation with movie releases in the US & Canada. After analyzing data from Statista and the Energy Information Administration, we uncovered a surprising correlation coefficient of 0.8219396 and p < 0.01 for the period spanning from 1980 to 2022. This fuelish connection may just be the plot twist the energy industry needs! We discuss the possible explanations and implications of this unexpected relationship, with a touch of blockbuster humor.

[[INTRDUCTION]]
Lights, camera, and high-octane jet fuel consumption! Our research delves into the unexpected intertwining of two seemingly disparate worlds - the glitz and glamour of Hollywood movie releases in the US & Canada, and the unassuming hum of jet engines guzzling fuel in Finland. While it might seem like a convoluted plotline from a B-list movie, the correlation we have unearthed between these two phenomena is nothing short of a blockbuster twist.
As researchers, we are accustomed to probing into conventional factors that impact jet fuel consumption. However, in a moment of inspiration akin to a dramatic movie montage, we turned our attention to the silver screen and the energy-rich skies above Finland. The result? A surprising correlation coefficient of 0.8219396 and p < 0.01, spanning decades of data from 1980 to 2022. This revelation not only left us reaching for our popcorn but also opened doors to a new dimension of understanding and, dare I say, entertainment, in the field of energy economics.
Before we dive into the intricacies of our findings, it’s worth noting that the connection between movie releases in North America and jet fuel consumption in Finland is not merely a whimsical curiosity. Instead, it unveils a tangled web of economic, cultural, and possibly even cosmic forces at play. Just as a blockbuster film combines elements of action, romance, and unexpected plot twists, our research interweaves the realms of popular culture and energy economics in a way that will leave readers both enlightened and entertained.
In this paper, we’ll dissect the data, make some shameless puns, and explore the potential implications of this jet-setting correlation for both the film industry and the energy sector. So buckle up and grab your 3D glasses, because this research journey promises to be a wild ride, complete with suspense, a dash of humor, and a grand finale that ties together two worlds in a way nobody saw coming.

[[RESULTS]]
The results of our analysis revealed a correlation coefficient of 0.8219396 between movie releases in the US & Canada and jet fuel consumption in Finland. In other words, there's a strong connection between the flicks that light up the big screen and the fuel that powers the high-flying jets! It's as if Hollywood and Helsinki have been secretly coordinating their releases and fuel usage all this time, creating a plotline worthy of an international espionage thriller.
The r-squared value of 0.6755846 indicates that a whopping 67.5% of the variability in jet fuel consumption in Finland can be explained by the number of movie releases in the US & Canada. Who would have thought that the adventures of superheroes, rom-com protagonists, or even intergalactic space odysseys could have such a significant impact on the fuel habits of an entire country? It's almost as if every movie release is a carefully orchestrated explosion of excitement, mirrored in the consumption of jet fuel thousands of miles away.
Furthermore, with a p-value of less than 0.01, we can confidently reject the null hypothesis that there is no relationship between these two variables. This means that the connection we've uncovered is more statistically significant than an A-list celebrity making a surprise cameo in a straight-to-DVD movie.
But fear not, dear reader, we won't leave you to simply imagine this fuelish connection. Behold, the visual manifestation of our findings – Fig. 1 – a scatterplot that proudly displays the strong positive correlation between movie releases in the US & Canada and jet fuel consumption in Finland. The points on the graph are as tightly packed as the seats in a sold-out movie theatre on opening night, showcasing the undeniable link between these seemingly unrelated phenomena.
In summary, our results not only confirm the existence of a compelling relationship between the glitzy world of cinema and the unassuming skies above Finland, but they also offer a tantalizing glimpse into an unfolding drama that blurs the boundaries between entertainment and energy economics. This unexpected correlation is sure to keep audiences at the edge of their seats, eagerly awaiting the next twist in this surprising narrative of movie magic and fuel consumption.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research has revealed a truly fuel-tastic connection between movie releases in the US & Canada and jet fuel consumption in Finland. Who would have thought that the silver screen and the fuel for high-flying jets could be co-stars in a blockbuster correlation? It's as if every time a movie hits the theaters, jet engines in Finland rev up in unison, creating a plotline worthy of an international energy cape crusader.

As we wrap up our findings, it's clear that this unexpected connection is more than just an entertaining twist – it's a revelation that sheds light on the interconnectedness of seemingly disparate industries. It's like uncovering a hidden subplot in a classic whodunit mystery; the pieces are all there, but it takes a keen eye to put them together.

Now, while our results have certainly sparked a flame of curiosity, it's important to recognize that this correlation is just the beginning of our fuel-filled saga. We've barely scratched the surface of the potential implications and applications of this connection. Could movie studios start factoring in jet fuel consumption as part of their release strategies? Will Finland's aviation industry start planning flight schedules based on Hollywood premieres? The possibilities are as endless as a director's cut special edition.

But for now, as the credits roll on this captivating chapter of research, we can confidently assert that no more investigation is needed in this unique intersection of film and fuel. So, let's bid adieu to this odyssey of statistical surprises and embrace the tantalizing prospect of unexpected correlations in the unlikeliest of places. And who knows, maybe next time you see a blockbuster hit the big screen, you'll find yourself contemplating its impact on jet fuel consumption in far-off lands. After all, truth is often stranger than fiction, and statistics can be more surprising than a plot twist in a summer blockbuster.

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of academic journals. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding research, scientific, or academic journal that would publish a paper entited Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland. Respond only with the name of a fictional academic journal.

ChatGPT:

The International Journal of Cinematic Energy Analysis

Model: gpt-3.5-turbo-1106
System prompt: You provide fictional names of nonprofit research organizations and associations. You say nothing else, and you do not chat with the user.
User prompt: Please provide the name of a funny but plausible sounding nonprofit, academic, or scientific association or organization that would sponsor research that resulted in a paper entited Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland. Respond only with the name of a fictional organization.

ChatGPT:

The International Association for Cinematic Energy Studies

Model: gpt-3.5-turbo-1106
System prompt: You provide potential search keywords separated by commas. You say nothing else, and you do not chat with the user.
User prompt: Please provide potential search keywords for a paper titled Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland with an abstract of Lights, camera, action! While most researchers are busy analyzing traditional factors influencing jet fuel consumption, our research team took a more cinematic approach by investigating its correlation with movie releases in the US & Canada. After analyzing data from Statista and the Energy Information Administration, we uncovered a surprising correlation coefficient of 0.8219396 and p < 0.01 for the period spanning from 1980 to 2022. This fuelish connection may just be the plot twist the energy industry needs! We discuss the possible explanations and implications of this unexpected relationship, with a touch of blockbuster humor.

ChatGPT:

jet fuel consumption, movie releases, US and Canada, correlation, fuel consumption analysis, Energy Information Administration data, Statista data

*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.

Random correlation

Discover a new correlation

View all correlations

View all research papers

Report an error

Data details

Movie Releases in the US & Canada
Source: Statista
See what else correlates with Movie Releases in the US & Canada

Jet fuel used in Finland
Detailed data title: Volume of jet fuel used consumed in Finland in millions of barrels per day
Source: Energy Information Administration
See what else correlates with Jet fuel used in Finland

Correlation r = 0.8219396 (Pearson correlation coefficient)
Correlation is a measure of how much the variables move together. If it is 0.99, when one goes up the other goes up. If it is 0.02, the connection is very weak or non-existent. If it is -0.99, then when one goes up the other goes down. If it is 1.00, you probably messed up your correlation function.

r² = 0.6755846 (Coefficient of determination)
This means 67.6% of the change in the one variable (i.e., Jet fuel used in Finland) is predictable based on the change in the other (i.e., Movie Releases in the US & Canada) over the 43 years from 1980 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 1.4E-11.^Show 0.0000000000141550601549536030
The p-value is a measure of how probable it is that we would randomly find a result this extreme.^Note More specifically the p-value is a measure of how probable it is that we would randomly find a result this extreme if we had only tested one pair of variables one time.

But I am a p-villain. I absolutely did not test only one pair of variables one time. I correlated hundreds of millions of pairs of variables. I threw boatloads of data into an industrial-sized blender to find this correlation.

Who is going to stop me? p-value reporting doesn't require me to report how many calculations I had to go through in order to find a low p-value!
On average, you will find a correaltion as strong as 0.82 in 1.4E-9% of random cases. Said differently, if you correlated 70,646,114,467 random variables^Note You don't actually need 70 billion variables to find a correlation like this one. I don't have that many variables in my database. You can also correlate variables that are not independent. I do this a lot.

p-value calculations are useful for understanding the probability of a result happening by chance. They are most useful when used to highlight the risk of a fluke outcome. For example, if you calculate a p-value of 0.30, the risk that the result is a fluke is high. It is good to know that! But there are lots of ways to get a p-value of less than 0.01, as evidenced by this project.

In this particular case, the values are so extreme as to be meaningless. That's why no one reports p-values with specificity after they drop below 0.01.

Just to be clear: I'm being completely transparent about the calculations. There is no math trickery. This is just how statistics shakes out when you calculate hundreds of millions of random correlations.
with the same 42 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 42 because we have two variables measured over a period of 43 years. It's just the number of years minus ( the number of variables minus one ), which in this case simplifies to the number of years minus one.
you would randomly expect to find a correlation as strong as this one.

[ 0.69, 0.9 ] 95% correlation confidence interval (using the Fisher z-transformation)
^{Read more about the confidence interval} The confidence interval is an estimate the range of the value of the correlation coefficient, using the correlation itself as an input. The values are meant to be the low and high end of the correlation coefficient with 95% confidence.

This one is a bit more complciated than the other calculations, but I include it because many people have been pushing for confidence intervals instead of p-value calculations (for example: NEJM. However, if you are dredging data, you can reliably find yourself in the 5%. That's my goal!

All values for the years included above: ^Note If I were being very sneaky, I could trim years from the beginning or end of the datasets to increase the correlation on some pairs of variables. I don't do that because there are already plenty of correlations in my database without monkeying with the years.

Still, sometimes one of the variables has more years of data available than the other. This page only shows the overlapping years. To see all the years, click on "See what else correlates with..." link above.

	1980	1981	1982	1983	1984	1985	1986	1987	1988	1989	1990	1991	1992	1993	1994	1995	1996	1997	1998	1999	2000	2001	2002	2003	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
Movie Releases in the US & Canada (Movies Released)	161	173	428	495	536	470	451	509	510	502	410	458	480	462	453	411	471	510	509	461	478	482	478	506	551	547	608	631	608	521	536	601	669	687	708	708	737	742	873	792	334	406	449
Jet fuel used in Finland (Million Barrels/Day)	5	5	5	5	5.08197	5.29315	5.40274	6.10411	7.49454	8.46575	9.64931	9.30685	8.35792	7.96164	8.31507	8.5726	9.153	9.67397	10.0767	10.6438	10.5929	10.6219	10.3589	10.6438	11.4973	11.8685	12.7808	14.2055	15.0956	13.4932	14.1836	15.9753	15.3716	15.5425	15.1315	15.411	15.7623	16.5781	18.5671	20.0986	7.62022	7.01918	12.8055

Why this works

Data dredging: I have 25,153 variables in my database. I compare all these variables against each other to find ones that randomly match up. That's 632,673,409 correlation calculations! This is called “data dredging.” Instead of starting with a hypothesis and testing it, I instead abused the data to see what correlations shake out. It’s a dangerous way to go about analysis, because any sufficiently large dataset will yield strong correlations completely at random.
Lack of causal connection: There is probably^Note 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.
no direct connection between these variables, despite what the AI says above. 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.
Observations not independent: For many variables, sequential years are not independent of each other. 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 simple^Note Personally I don't find any p-value calculation to be 'simple,' but you know what I mean.
p-value calculation does not take this into account, so mathematically it appears less probable than it really is.

Try it yourself

You can calculate the values on this page on your own! Try running the Python code to see the calculation results. ^{Show the steps to do this.} Step 1: Download and install Python on your computer.

Step 2: Open a plaintext editor like Notepad and paste the code below into it.

Step 3: Save the file as "calculate_correlation.py" in a place you will remember, like your desktop. Copy the file location to your clipboard. On Windows, you can right-click the file and click "Properties," and then copy what comes after "Location:" As an example, on my computer the location is "C:\Users\tyler\Desktop"

Step 4: Open a command line window. For example, by pressing start and typing "cmd" and them pressing enter.

Step 5: Install the required modules by typing "pip install numpy", then pressing enter, then typing "pip install scipy", then pressing enter.

Step 6: Navigate to the location where you saved the Python file by using the "cd" command. For example, I would type "cd C:\Users\tyler\Desktop" and push enter.

Step 7: Run the Python script by typing "python calculate_correlation.py"

If you run into any issues, I suggest asking ChatGPT to walk you through installing Python and running the code below on your system. Try this question:

"Walk me through installing Python on my computer to run a script that uses scipy and numpy. Go step-by-step and ask me to confirm before moving on. Start by asking me questions about my operating system so that you know how to proceed. Assume I want the simplest installation with the latest version of Python and that I do not currently have any of the necessary elements installed. Remember to only give me one step per response and confirm I have done it before proceeding."

# These modules make it easier to perform the calculation
import numpy as np
from scipy import stats

# We'll define a function that we can call to return the correlation calculations
def calculate_correlation(array1, array2):

    # Calculate Pearson correlation coefficient and p-value
    correlation, p_value = stats.pearsonr(array1, array2)

    # Calculate R-squared as the square of the correlation coefficient
    r_squared = correlation**2

    return correlation, r_squared, p_value

# These are the arrays for the variables shown on this page, but you can modify them to be any two sets of numbers
array_1 = np.array([161,173,428,495,536,470,451,509,510,502,410,458,480,462,453,411,471,510,509,461,478,482,478,506,551,547,608,631,608,521,536,601,669,687,708,708,737,742,873,792,334,406,449,])
array_2 = np.array([5,5,5,5,5.08197,5.29315,5.40274,6.10411,7.49454,8.46575,9.64931,9.30685,8.35792,7.96164,8.31507,8.5726,9.153,9.67397,10.0767,10.6438,10.5929,10.6219,10.3589,10.6438,11.4973,11.8685,12.7808,14.2055,15.0956,13.4932,14.1836,15.9753,15.3716,15.5425,15.1315,15.411,15.7623,16.5781,18.5671,20.0986,7.62022,7.01918,12.8055,])
array_1_name = "Movie Releases in the US & Canada"
array_2_name = "Jet fuel used in Finland"

# Perform the calculation
print(f"Calculating the correlation between {array_1_name} and {array_2_name}...")
correlation, r_squared, p_value = calculate_correlation(array_1, array_2)

# Print the results
print("Correlation Coefficient:", correlation)
print("R-squared:", r_squared)
print("P-value:", p_value)

Reuseable content

You may re-use the images on this page for any purpose, even commercial purposes, without asking for permission. The only requirement is that you attribute Tyler Vigen. ^Note Attribution can take many different forms. If you leave the "tylervigen.com" link in the image, that satisfies it just fine. If you remove it and move it to a footnote, that's fine too. You can also just write "Charts courtesy of Tyler Vigen" at the bottom of an article.

You do not need to attribute "the spurious correlations website," and you don't even need to link here if you don't want to. I don't gain anything from pageviews. There are no ads on this site, there is nothing for sale, and I am not for hire.

For the record, I am just one person. Tyler Vigen, he/him/his. I do have degrees, but they should not go after my name unless you want to annoy my wife. If that is your goal, then go ahead and cite me as "Tyler Vigen, A.A. A.A.S. B.A. J.D." Otherwise it is just "Tyler Vigen."

When spoken, my last name is pronounced "vegan," like I don't eat meat.

Full license details.
For more on re-use permissions, or to get a signed release form, see tylervigen.com/permission.

Download images for these variables:

High resolution line chart ^Note The image linked here is a Scalable Vector Graphic (SVG). It is the highest resolution that is possible to achieve. It scales up beyond the size of the observable universe without pixelating. You do not need to email me asking if I have a higher resolution image. I do not. The physical limitations of our universe prevent me from providing you with an image that is any higher resolution than this one.

If you insert it into a PowerPoint presentation (a tool well-known for managing things that are the scale of the universe), you can right-click > "Ungroup" or "Create Shape" and then edit the lines and text directly. You can also change the colors this way.

Alternatively you can use a tool like Inkscape.
High resolution line chart, optimized for mobile
Alternative high resolution line chart
Scatterplot
Portable line chart (png)
Portable line chart (png), optimized for mobile
Line chart for only Movie Releases in the US & Canada
Line chart for only Jet fuel used in Finland
The spurious research paper: Jetting to the Box Office: A Fuelish Connection Between Movie Releases in the US & Canada and Jet Fuel Consumption in Finland

View another random correlation

How fun was this correlation?

Hats off to you for rating!

Correlation ID: 1235 · Black Variable ID: 70 · Red Variable ID: 24417


Problem variable:
Issue:
Additional details: Optional
Confirm you are a human: