Spurious correlation #3,697 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Cumulative goals scored by Vincent Kompany in domestic matches and the second variable is Tickets Sold for the Top Movie of the Year. The chart goes from 2004 to 2013, 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 Cumulative goals scored by Vincent Kompany in domestic matches and the second variable is Tickets Sold for the Top Movie of the Year. The chart goes from 2004 to 2013, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As Vincent Kompany's goals in domestic matches decreased, fans became increasingly disinterested in traditional forms of entertainment. This led to a decrease in movie ticket sales as people opted to watch reruns of old football matches instead of going to the theaters.

^{Show image generation prompt} Model: dalle-3
Prompt: **Generate an image of a packed football stadium with ecstatic fans cheering for their team as Vincent Kompany scores a goal, juxtaposed with a busy movie theater with a long line of moviegoers waiting outside. The energy and excitement of both scenarios should be palpable in the image, with the focus on the euphoria of sports and entertainment.** 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 variables described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here are two variables: Cumulative goals scored by Vincent Kompany in domestic matches and Tickets Sold for the Top Movie of the Year. Given these, which of the following image style descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand. Please respond with only one of the following potential descriptions: Futuristic a funny image you would see on reddit A photo-realistic image Magic realism Low poly
ChatGPT: a funny image you would see on reddit

Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated. You combine both variables into one scene.
User prompt: Please describe a visual scene that prominently depicts both Cumulative goals scored by Vincent Kompany in domestic matches and Tickets Sold for the Top Movie of the Year, in the following situation: As Vincent Kompany scores more goals, fans are inspired to "Defend" their team at the box office, leading to more "Net income" and "Goal"-den ticket sales for the top movie!. Keep the description simple.
ChatGPT: As Vincent Kompany scores more goals in domestic matches, the stadium fills with passionate fans cheering for their team. Meanwhile, at the box office, a line of moviegoers extends around the block, eager to see the top movie of the year. The buzz of excitement and anticipation fills the air, as both the football and movie industries experience a surge in net income and goal-den ticket sales.

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: [ a funny image you would see on reddit ] and depicting this scene: As Vincent Kompany scores more goals in domestic matches, the stadium fills with passionate fans cheering for their team. Meanwhile, at the box office, a line of moviegoers extends around the block, eager to see the top movie of the year. The buzz of excitement and anticipation fills the air, as both the football and movie industries experience a surge in net income and goal-den ticket sales. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: **Generate an image of a packed football stadium with ecstatic fans cheering for their team as Vincent Kompany scores a goal, juxtaposed with a busy movie theater with a long line of moviegoers waiting outside. The energy and excitement of both scenarios should be palpable in the image, with the focus on the euphoria of sports and entertainment.**

*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 a decrease in Cumulative goals scored by Vincent Kompany in domestic matches caused Tickets Sold for the Top Movie of the Year to decrease.

AI academic paper

(Because p < 0.01)

Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show

The Journal of Sports Analytics and Entertainment Psychology

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 Cumulative goals scored by Vincent Kompany in domestic matches and Tickets Sold for the Top Movie of the Year. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, 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 name some cartoons and childrens' shows that you watched that are related to the topic.

Here is the title and abstract of the paper:
[[TITLE]]
"Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show"

[[ABSTRACT]]
This paper delves into the intriguing relationship between the cumulative goals scored by the esteemed footballer Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. By analyzing data sourced from Wikipedia and The Numbers, our research team uncovered a correlation coefficient of 0.8771991 with a statistically significant p-value of less than 0.01 for the period spanning 2004 to 2013. Our findings shed light on this peculiar association, raising questions and tickling the curiosity of both football enthusiasts and movie buffs alike.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
In the world of sports and entertainment, there are numerous intriguing relationships and correlations waiting to be uncovered. As researchers, it is our duty to delve into these seemingly disparate realms and unveil the hidden connections that may captivate our collective imagination. In this vein, our study sought to unravel the fascinating relationship between the cumulative goals scored by the renowned Belgian footballer Vincent Kompany in domestic matches and the volume of tickets sold for the top movie of the year. The fusion of the fervor for football and the allure of cinema provides an unconventional backdrop for our exploration, and as we venture forth, we aim to provide compelling insights that may seem, at first glance, nothing short of a cinematic twist.
The endeavor to analyze this unlikely pair of variables may be perceived as unorthodox, but it is within these unconventional pairings that the seeds of discovery often find fertile ground. As the legendary physicist Albert Einstein once quipped, "The important thing is not to stop questioning; curiosity has its own reason for existing." With this spirit of inquiry in mind, we embarked on our quest to unravel the enigmatic link between the prowess of a footballer on the pitch and the draw of silver screen extravaganzas in the box office.
Our investigation, seeded in data sourced from venerable repositories such as Wikipedia and The Numbers, provides compelling insights that extend beyond the confines of conventional wisdom. The sport of football, with its sheer exuberance and passion, coupled with the captivating allure of cinema, forms an intriguing duality that beckons scrutiny. It is amidst this confluence of fervent goals and blockbuster films that we endeavor to unpack the underlying fabric that may weave these seemingly disparate phenomena into a cohesive narrative.
While such an unconventional pairing may raise a few eyebrows, it is imperative to keep in mind the adage coined by the inimitable Charles Darwin, who famously remarked, "In the long history of humankind (and animal kind, too) those who learned to collaborate and improvise most effectively have prevailed." Thus, it is in the collaborative spirit of interdisciplinary inquiry that we seek to unravel this seemingly preposterous connection, armed with statistical rigor and a mischievous twinkle in our eye.
Armed with statistical methodologies and an unrelenting quest for clarity, we present the findings of our study, which not only unveil the mysterious nexus between Kompany's goals and blockbuster ticket sales but also promises to inject a dash of levity and intrigue into the hallowed halls of academia. As we embark on this journey of discovery, let us embrace the unexpected and relish the delight of unearthing correlations that defy commonplace assumptions, for in the realm of scholarship, a touch of wonder and amusement can only enrich the pursuit of knowledge.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Smith et al.," the authors find a correlation between the cumulative goals scored by Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. This intriguing correlation prompts the exploration of potential underlying factors that may contribute to this unexpected relationship. Indeed, as we delve deeper into the enigmatic connection between football prowess and silver screen allure, it is crucial to consider a multitude of perspectives that may shed light on this peculiar phenomenon.

In their seminal work, "Doe and Jones," the authors posit that the intersection of popular culture and sports may hold the key to unraveling the mystery behind the correlation we have observed. The intricate web of societal influences, media narratives, and cultural zeitgeist manifests in ways that transcend traditional disciplinary boundaries, potentially shaping the collective consciousness of individuals captivated by both the thrill of the game and the enchantment of cinematic spectacles.

Transitioning from these scholarly works to a broader cultural milieu, it is essential to weave in insights from non-fiction literature that may offer tangential relevance to our study. Works such as "Moneyball: The Art of Winning an Unfair Game" by Michael Lewis and "The Hollywood Economist: The Hidden Financial Reality Behind the Movies" by Edward Jay Epstein offer glimpses into the fascinating interplay of statistical analysis in sports and the economics of the film industry, enriching our contextual understanding of the domains under scrutiny.

Venturing further into the realm of fiction, the works of Haruki Murakami, with their surreal interweaving of everyday experiences and inexplicable occurrences, and the psychological intricacies portrayed in "Fight Club" by Chuck Palahniuk, beckon contemplation on the improbable connections that may underpin seemingly unrelated phenomena. While their narratives may veer into the realm of speculative fiction, the underlying premise of uncovering hidden linkages resonates with our endeavor to dissect the conundrum at hand.

Shifting gears to incorporate unexpected yet potentially relevant sources, an exploration of animated television series and children's shows may yield unexpected parallels to our study. The whimsical escapades of "SpongeBob SquarePants" and the intrepid explorations in "Dora the Explorer" may provide a refreshing lens through which to contemplate the intertwining of athletic achievement and cultural trends, igniting the imagination and stirring a playful contemplation of the underlying forces at play.

In the spirit of academic inquiry tempered with a hint of levity, our review of the literature converges on a diverse array of sources, spanning scholarly works, non-fiction literature, fiction narratives, and even animated entertainment. This medley of influences sets the stage for a multidimensional exploration that seeks to unravel the fascinating correlation between Vincent Kompany's goals and the allure of the silver screen, inviting readers to partake in a scholarly pursuit brimming with unexpected twists and thematic cross-pollination.

Our next section will delve into the methodologies deployed in our research, where statistical rigor and interdisciplinary lenses converge to uncover the intricacies of this captivating correlation.

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 Cumulative goals scored by Vincent Kompany in domestic matches and Tickets Sold for the Top Movie of the Year. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Wikipedia and The Numbers . You used data from 2004 to 2013

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]]
"Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show"

[[ABSTRACT]]
This paper delves into the intriguing relationship between the cumulative goals scored by the esteemed footballer Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. By analyzing data sourced from Wikipedia and The Numbers, our research team uncovered a correlation coefficient of 0.8771991 with a statistically significant p-value of less than 0.01 for the period spanning 2004 to 2013. Our findings shed light on this peculiar association, raising questions and tickling the curiosity of both football enthusiasts and movie buffs alike.

[[INTRODUCTION]]
In the world of sports and entertainment, there are numerous intriguing relationships and correlations waiting to be uncovered. As researchers, it is our duty to delve into these seemingly disparate realms and unveil the hidden connections that may captivate our collective imagination. In this vein, our study sought to unravel the fascinating relationship between the cumulative goals scored by the renowned Belgian footballer Vincent Kompany in domestic matches and the volume of tickets sold for the top movie of the year. The fusion of the fervor for football and the allure of cinema provides an unconventional backdrop for our exploration, and as we venture forth, we aim to provide compelling insights that may seem, at first glance, nothing short of a cinematic twist.
The endeavor to analyze this unlikely pair of variables may be perceived as unorthodox, but it is within these unconventional pairings that the seeds of discovery often find fertile ground. As the legendary physicist Albert Einstein once quipped, "The important thing is not to stop questioning; curiosity has its own reason for existing." With this spirit of inquiry in mind, we embarked on our quest to unravel the enigmatic link between the prowess of a footballer on the pitch and the draw of silver screen extravaganzas in the box office.
Our investigation, seeded in data sourced from venerable repositories such as Wikipedia and The Numbers, provides compelling insights that extend beyond the confines of conventional wisdom. The sport of football, with its sheer exuberance and passion, coupled with the captivating allure of cinema, forms an intriguing duality that beckons scrutiny. It is amidst this confluence of fervent goals and blockbuster films that we endeavor to unpack the underlying fabric that may weave these seemingly disparate phenomena into a cohesive narrative.
While such an unconventional pairing may raise a few eyebrows, it is imperative to keep in mind the adage coined by the inimitable Charles Darwin, who famously remarked, "In the long history of humankind (and animal kind, too) those who learned to collaborate and improvise most effectively have prevailed." Thus, it is in the collaborative spirit of interdisciplinary inquiry that we seek to unravel this seemingly preposterous connection, armed with statistical rigor and a mischievous twinkle in our eye.
Armed with statistical methodologies and an unrelenting quest for clarity, we present the findings of our study, which not only unveil the mysterious nexus between Kompany's goals and blockbuster ticket sales but also promises to inject a dash of levity and intrigue into the hallowed halls of academia. As we embark on this journey of discovery, let us embrace the unexpected and relish the delight of unearthing correlations that defy commonplace assumptions, for in the realm of scholarship, a touch of wonder and amusement can only enrich the pursuit of knowledge.

-------

Your response should start like this:

[[METHODOLOGY]]

ChatGPT:

[[METHODOLOGY]]

To tackle the formidable task of unraveling the correlation between the cumulative goals scored by Vincent Kompany in domestic matches and the tickets sold for the top movie of the year, our research team employed a blend of quantitative analysis, data scraping, and a pinch of whimsy. The data collection process involved traversing the vast expanses of the internet, venturing deep into the digital wilderness of Wikipedia and The Numbers, where nuggets of statistical gold awaited our eager clutches. The time period under scrutiny spanned from 2004 to 2013, a decade rife with both footballing prowess and silver screen splendor.

The first step in our methodological dance was the procurement of data on Vincent Kompany's goal-scoring exploits. We scoured the virtual annals of Wikipedia, mining meticulously curated information on his domestic goal tally. This process involved sifting through tabulated data, cross-referencing sources, and warding off the occasional digital gremlins lurking in the depths of internet repositories.

Simultaneously, our team delved into The Numbers, an online bastion for cinematic statistics, in search of the top-grossing movie of each year during our defined time frame. We meticulously chronicled the ticket sales figures, allowing the aura of these cinematic triumphs to intermingle with our unfolding saga of goals and glory on the pitch.

Once the prodigious quantities of data were assembled, we harnessed the power of statistical analysis to ferret out the elusive correlation between these seemingly incongruent variables. Employing sophisticated software, we unleashed the forces of regression analysis and correlation coefficients, maneuvering through the tumultuous seas of statistical significance with a tenacity matched only by Kompany's defensive prowess on the field.

A paramount consideration in our endeavor was the culpability of lurking confounding variables, eager to pounce and confound our pursuit of truth. The impact of external factors, such as economic shifts, cultural phenomena, and the occasional cosmic alignment, demanded careful consideration, lest our noble quest for correlation be beset by false premises and spurious associations.

With our data scrubbed, sanitized, and cradled in the gentle embrace of statistical validation, we wielded the mighty sword of hypothesis testing, subjecting our findings to the crucible of p-values and confidence intervals. Our rigorous standards for statistical significance wrangled with the capricious nature of our variables, seeking to unmask any erroneous whispers of correlation that may have dared to masquerade in our midst.

In conclusion, our methodological odyssey was not for the faint of heart, but it was enlivened by the whimsy and wonder that often accompany the pursuit of academic inquiry. With our data in tow and our statistical veracity unyielding, we ventured forth to present the intriguing findings that lie at the nexus of Kompany's goals and the allure of top-grossing movies, all while embracing the mischievous spirit of scholarly exploration.

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 results section of an academic research paper. You speak in the past tense (you found...).
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 results section of an academic research paper presenting the findings of the connection between Cumulative goals scored by Vincent Kompany in domestic matches and Tickets Sold for the Top Movie of the Year. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

Your research team collected data from all across the internet, but mostly just used information from Wikipedia and The Numbers .

For the time period 2004 to 2013, you found a correlation 0.8771991, r-squared of 0.7694783, and p < 0.01.

One figure will be included. The figure (Fig. 1) is a scatterplot showing the strong correlation between the two variables. You don't need to specify where; I will add the figure.

Here is the title and abstract of the paper:
[[TITLE]]
"Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show"

[[ABSTRACT]]
This paper delves into the intriguing relationship between the cumulative goals scored by the esteemed footballer Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. By analyzing data sourced from Wikipedia and The Numbers, our research team uncovered a correlation coefficient of 0.8771991 with a statistically significant p-value of less than 0.01 for the period spanning 2004 to 2013. Our findings shed light on this peculiar association, raising questions and tickling the curiosity of both football enthusiasts and movie buffs alike.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
In the world of sports and entertainment, there are numerous intriguing relationships and correlations waiting to be uncovered. As researchers, it is our duty to delve into these seemingly disparate realms and unveil the hidden connections that may captivate our collective imagination. In this vein, our study sought to unravel the fascinating relationship between the cumulative goals scored by the renowned Belgian footballer Vincent Kompany in domestic matches and the volume of tickets sold for the top movie of the year. The fusion of the fervor for football and the allure of cinema provides an unconventional backdrop for our exploration, and as we venture forth, we aim to provide compelling insights that may seem, at first glance, nothing short of a cinematic twist.
The endeavor to analyze this unlikely pair of variables may be perceived as unorthodox, but it is within these unconventional pairings that the seeds of discovery often find fertile ground. As the legendary physicist Albert Einstein once quipped, "The important thing is not to stop questioning; curiosity has its own reason for existing." With this spirit of inquiry in mind, we embarked on our quest to unravel the enigmatic link between the prowess of a footballer on the pitch and the draw of silver screen extravaganzas in the box office.
Our investigation, seeded in data sourced from venerable repositories such as Wikipedia and The Numbers, provides compelling insights that extend beyond the confines of conventional wisdom. The sport of football, with its sheer exuberance and passion, coupled with the captivating allure of cinema, forms an intriguing duality that beckons scrutiny. It is amidst this confluence of fervent goals and blockbuster films that we endeavor to unpack the underlying fabric that may weave these seemingly disparate phenomena into a cohesive narrative.
While such an unconventional pairing may raise a few eyebrows, it is imperative to keep in mind the adage coined by the inimitable Charles Darwin, who famously remarked, "In the long history of humankind (and animal kind, too) those who learned to collaborate and improvise most effectively have prevailed." Thus, it is in the collaborative spirit of interdisciplinary inquiry that we seek to unravel this seemingly preposterous connection, armed with statistical rigor and a mischievous twinkle in our eye.
Armed with statistical methodologies and an unrelenting quest for clarity, we present the findings of our study, which not only unveil the mysterious nexus between Kompany's goals and blockbuster ticket sales but also promises to inject a dash of levity and intrigue into the hallowed halls of academia. As we embark on this journey of discovery, let us embrace the unexpected and relish the delight of unearthing correlations that defy commonplace assumptions, for in the realm of scholarship, a touch of wonder and amusement can only enrich the pursuit of knowledge.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The results of our investigation revealed a striking correlation between the cumulative goals scored by Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. For the period spanning 2004 to 2013, we found a remarkably high correlation coefficient of 0.8771991, indicating a strong positive relationship between these seemingly disparate variables. The r-squared value of 0.7694783 further substantiates the robustness of this association, suggesting that approximately 76.95% of the variability in ticket sales for the top movie can be attributed to the cumulative goals scored by Kompany.

To visually depict the compelling relationship uncovered by our analysis, we present Fig. 1, a scatterplot that vividly illustrates the strong positive correlation between Kompany's goal-scoring prowess and the allure of the top movie of the year. This scatterplot serves as a testament to the unexpected, yet undeniable, connection between these seemingly unrelated domains of entertainment and sports.

The statistical significance of our findings is underscored by a p-value of less than 0.01, implying that the observed relationship is highly unlikely to have occurred by chance. While skeptics may raise an eyebrow at the seemingly whimsical nature of this investigation, our rigorous statistical analysis leaves little room for doubt regarding the substantive connection between Kompany's on-field achievements and the popularity of the pinnacle movie release each year.

These results not only defy traditional assumptions but also provoke an intriguing array of questions and ponderings about the interplay between sporting triumphs and cinematic spectacles. This unexpected confluence of metrics raises the curtain on a hitherto unexplored realm of correlations, adding a delightful twinkle of wonder and amusement to the scholarly discourse on unconventional connections in the realms of sports and entertainment.

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 Cumulative goals scored by Vincent Kompany in domestic matches and Tickets Sold for the Top Movie of the Year. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
"Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show"

[[ABSTRACT]]
This paper delves into the intriguing relationship between the cumulative goals scored by the esteemed footballer Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. By analyzing data sourced from Wikipedia and The Numbers, our research team uncovered a correlation coefficient of 0.8771991 with a statistically significant p-value of less than 0.01 for the period spanning 2004 to 2013. Our findings shed light on this peculiar association, raising questions and tickling the curiosity of both football enthusiasts and movie buffs alike.

[[LITERATURE REVIEW]]
In "Smith et al.," the authors find a correlation between the cumulative goals scored by Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. This intriguing correlation prompts the exploration of potential underlying factors that may contribute to this unexpected relationship. Indeed, as we delve deeper into the enigmatic connection between football prowess and silver screen allure, it is crucial to consider a multitude of perspectives that may shed light on this peculiar phenomenon.
In their seminal work, "Doe and Jones," the authors posit that the intersection of popular culture and sports may hold the key to unraveling the mystery behind the correlation we have observed. The intricate web of societal influences, media narratives, and cultural zeitgeist manifests in ways that transcend traditional disciplinary boundaries, potentially shaping the collective consciousness of individuals captivated by both the thrill of the game and the enchantment of cinematic spectacles.
Transitioning from these scholarly works to a broader cultural milieu, it is essential to weave in insights from non-fiction literature that may offer tangential relevance to our study. Works such as "Moneyball: The Art of Winning an Unfair Game" by Michael Lewis and "The Hollywood Economist: The Hidden Financial Reality Behind the Movies" by Edward Jay Epstein offer glimpses into the fascinating interplay of statistical analysis in sports and the economics of the film industry, enriching our contextual understanding of the domains under scrutiny.
Venturing further into the realm of fiction, the works of Haruki Murakami, with their surreal interweaving of everyday experiences and inexplicable occurrences, and the psychological intricacies portrayed in "Fight Club" by Chuck Palahniuk, beckon contemplation on the improbable connections that may underpin seemingly unrelated phenomena. While their narratives may veer into the realm of speculative fiction, the underlying premise of uncovering hidden linkages resonates with our endeavor to dissect the conundrum at hand.
Shifting gears to incorporate unexpected yet potentially relevant sources, an exploration of animated television series and children's shows may yield unexpected parallels to our study. The whimsical escapades of "SpongeBob SquarePants" and the intrepid explorations in "Dora the Explorer" may provide a refreshing lens through which to contemplate the intertwining of athletic achievement and cultural trends, igniting the imagination and stirring a playful contemplation of the underlying forces at play.
In the spirit of academic inquiry tempered with a hint of levity, our review of the literature converges on a diverse array of sources, spanning scholarly works, non-fiction literature, fiction narratives, and even animated entertainment. This medley of influences sets the stage for a multidimensional exploration that seeks to unravel the fascinating correlation between Vincent Kompany's goals and the allure of the silver screen, inviting readers to partake in a scholarly pursuit brimming with unexpected twists and thematic cross-pollination.
Our next section will delve into the methodologies deployed in our research, where statistical rigor and interdisciplinary lenses converge to uncover the intricacies of this captivating correlation.

[[RESULTS]]
The results of our investigation revealed a striking correlation between the cumulative goals scored by Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. For the period spanning 2004 to 2013, we found a remarkably high correlation coefficient of 0.8771991, indicating a strong positive relationship between these seemingly disparate variables. The r-squared value of 0.7694783 further substantiates the robustness of this association, suggesting that approximately 76.95% of the variability in ticket sales for the top movie can be attributed to the cumulative goals scored by Kompany.
To visually depict the compelling relationship uncovered by our analysis, we present Fig. 1, a scatterplot that vividly illustrates the strong positive correlation between Kompany's goal-scoring prowess and the allure of the top movie of the year. This scatterplot serves as a testament to the unexpected, yet undeniable, connection between these seemingly unrelated domains of entertainment and sports.
The statistical significance of our findings is underscored by a p-value of less than 0.01, implying that the observed relationship is highly unlikely to have occurred by chance. While skeptics may raise an eyebrow at the seemingly whimsical nature of this investigation, our rigorous statistical analysis leaves little room for doubt regarding the substantive connection between Kompany's on-field achievements and the popularity of the pinnacle movie release each year.
These results not only defy traditional assumptions but also provoke an intriguing array of questions and ponderings about the interplay between sporting triumphs and cinematic spectacles. This unexpected confluence of metrics raises the curtain on a hitherto unexplored realm of correlations, adding a delightful twinkle of wonder and amusement to the scholarly discourse on unconventional connections in the realms of sports and entertainment.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The results of our analysis offer compelling support for the previously posited correlation between the cumulative goals scored by Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. The robust correlation coefficient of 0.8771991, complemented by the statistically significant p-value of less than 0.01, underscores the substantive nature of this unexpected linkage. These findings echo the work of Smith et al., who initially brought attention to this quirky relationship and laid the groundwork for our own investigation. Amidst the scholarly pursuit of uncovering unexpected correlations lies a certain whimsy, evoking a playful contemplation of the interplay between athletic prowess and cinematic allure.

Drawing upon the theoretical underpinnings elucidated in the literature review, our findings resonate with the nuanced analyses presented in works such as "Moneyball: The Art of Winning an Unfair Game" by Michael Lewis and "The Hollywood Economist: The Hidden Financial Reality Behind the Movies" by Edward Jay Epstein. The statistical exploration of sports dynamics in "Moneyball" finds an intriguing parallel in our own examination of the whimsical connection between a football luminary and the silver screen. Furthermore, the economic insights of Epstein's treatise subtly echo in our findings, hinting at a confluence of factors that intertwine the realms of sports and entertainment in unexpected ways.

The panoramic lens through which we approached our literature review uncovers a delightful convergence of disciplinary insights, embracing the idiosyncratic musings of fiction narratives, animated television series, and children's shows. The seemingly incongruent terrain of animated escapades provides an unexpected vantage point from which to contemplate the interplay of athletic prowess and cultural trends, infusing our scholarly quest with a buoyant sense of inquiry.

Our statistically rigorous findings not only bolster the preexisting scholarship but also beckon further exploration into the intricate web of societal influences, media narratives, and cultural zeitgeist that underpin this enchanting correlation. This unanticipated confluence of domains ignites a spark of wonder, effusing the scholarly discourse with a delightful twinkle of amusement and levity. As we continue down this whimsical path of academic inquiry, we invite readers to revel in this lighthearted merriment, for within the seemingly ordinary lies a tapestry of unexpected connections waiting to be unraveled.

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 Cumulative goals scored by Vincent Kompany in domestic matches and Tickets Sold for the Top Movie of the Year. Make it seem dry like academic research paper, but with lots of subtle hidden offhand remarks, jokes, goofy observations, and puns. Stay serious and dry most of the time, but then occasionally let your wit shine through.

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]]
"Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show"

[[ABSTRACT]]
This paper delves into the intriguing relationship between the cumulative goals scored by the esteemed footballer Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. By analyzing data sourced from Wikipedia and The Numbers, our research team uncovered a correlation coefficient of 0.8771991 with a statistically significant p-value of less than 0.01 for the period spanning 2004 to 2013. Our findings shed light on this peculiar association, raising questions and tickling the curiosity of both football enthusiasts and movie buffs alike.

[[INTRDUCTION]]
In the world of sports and entertainment, there are numerous intriguing relationships and correlations waiting to be uncovered. As researchers, it is our duty to delve into these seemingly disparate realms and unveil the hidden connections that may captivate our collective imagination. In this vein, our study sought to unravel the fascinating relationship between the cumulative goals scored by the renowned Belgian footballer Vincent Kompany in domestic matches and the volume of tickets sold for the top movie of the year. The fusion of the fervor for football and the allure of cinema provides an unconventional backdrop for our exploration, and as we venture forth, we aim to provide compelling insights that may seem, at first glance, nothing short of a cinematic twist.
The endeavor to analyze this unlikely pair of variables may be perceived as unorthodox, but it is within these unconventional pairings that the seeds of discovery often find fertile ground. As the legendary physicist Albert Einstein once quipped, "The important thing is not to stop questioning; curiosity has its own reason for existing." With this spirit of inquiry in mind, we embarked on our quest to unravel the enigmatic link between the prowess of a footballer on the pitch and the draw of silver screen extravaganzas in the box office.
Our investigation, seeded in data sourced from venerable repositories such as Wikipedia and The Numbers, provides compelling insights that extend beyond the confines of conventional wisdom. The sport of football, with its sheer exuberance and passion, coupled with the captivating allure of cinema, forms an intriguing duality that beckons scrutiny. It is amidst this confluence of fervent goals and blockbuster films that we endeavor to unpack the underlying fabric that may weave these seemingly disparate phenomena into a cohesive narrative.
While such an unconventional pairing may raise a few eyebrows, it is imperative to keep in mind the adage coined by the inimitable Charles Darwin, who famously remarked, "In the long history of humankind (and animal kind, too) those who learned to collaborate and improvise most effectively have prevailed." Thus, it is in the collaborative spirit of interdisciplinary inquiry that we seek to unravel this seemingly preposterous connection, armed with statistical rigor and a mischievous twinkle in our eye.
Armed with statistical methodologies and an unrelenting quest for clarity, we present the findings of our study, which not only unveil the mysterious nexus between Kompany's goals and blockbuster ticket sales but also promises to inject a dash of levity and intrigue into the hallowed halls of academia. As we embark on this journey of discovery, let us embrace the unexpected and relish the delight of unearthing correlations that defy commonplace assumptions, for in the realm of scholarship, a touch of wonder and amusement can only enrich the pursuit of knowledge.

[[RESULTS]]
The results of our investigation revealed a striking correlation between the cumulative goals scored by Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. For the period spanning 2004 to 2013, we found a remarkably high correlation coefficient of 0.8771991, indicating a strong positive relationship between these seemingly disparate variables. The r-squared value of 0.7694783 further substantiates the robustness of this association, suggesting that approximately 76.95% of the variability in ticket sales for the top movie can be attributed to the cumulative goals scored by Kompany.
To visually depict the compelling relationship uncovered by our analysis, we present Fig. 1, a scatterplot that vividly illustrates the strong positive correlation between Kompany's goal-scoring prowess and the allure of the top movie of the year. This scatterplot serves as a testament to the unexpected, yet undeniable, connection between these seemingly unrelated domains of entertainment and sports.
The statistical significance of our findings is underscored by a p-value of less than 0.01, implying that the observed relationship is highly unlikely to have occurred by chance. While skeptics may raise an eyebrow at the seemingly whimsical nature of this investigation, our rigorous statistical analysis leaves little room for doubt regarding the substantive connection between Kompany's on-field achievements and the popularity of the pinnacle movie release each year.
These results not only defy traditional assumptions but also provoke an intriguing array of questions and ponderings about the interplay between sporting triumphs and cinematic spectacles. This unexpected confluence of metrics raises the curtain on a hitherto unexplored realm of correlations, adding a delightful twinkle of wonder and amusement to the scholarly discourse on unconventional connections in the realms of sports and entertainment.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, our research findings have illuminated a captivating correlation between the cumulative goals scored by Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. The robust correlation coefficient of 0.8771991 and the statistically significant p-value of less than 0.01 lend credence to the unexpected relationship between these seemingly unrelated domains. Our analysis, rooted in empirical data and statistical rigor, not only underscores the depth of this peculiar association but also sets the stage for a whimsical dance between the world of football and the allure of cinema.

As we draw the curtains on this academic charade, it's hard to ignore the striking resemblance between the unpredictability of this correlation and the suspense of a stellar thriller. Much like a gripping plot twist, this unlikely pairing of variables has managed to defy conventional wisdom and reignite our fervent curiosity. Who would have thought that the prowess of a footballer on the pitch could weave such an enthralling narrative with the draw of the silver screen? It seems that reality has indeed crafted a story that even the most imaginative screenwriter would struggle to conjure.

Nevertheless, as tempting as it may be to revel in the cinematic quality of this correlation, we must acknowledge the limits of our findings. As much as we delight in this unexpected rendezvous between the worlds of sports and entertainment, it's important to recognize that correlation does not imply causation. So, while Kompany's prowess on the pitch may have orchestrated a delightful symphony at the box office, we tread cautiously in attributing direct causality to this enigmatic relationship.

In the grand finale of this scholarly saga, we stand at a crossroads. The connection we've unraveled is nothing short of a delightful enigma, but as researchers, we must resist the temptation to chase after every curious correlation. The academic arena, much like a grand stage, is replete with infinite possibilities and countless rabbit holes of inquiry. However, in the spirit of prudent scholarship, let us savor the delight of this unexpected finding and bid adieu to this unorthodox pairing with a fondness reserved for the most delightful of academic anomalies.

In the immortal words of Julius Caesar, "veni, vidi, vici" - we came, we saw, we conquered this captivating correlation. With this, we assert that no further research is required to explore this particular connection between Kompany's goal-scoring prowess and the allure of the top movie of the year. As the curtain falls on this unlikely duo, we bid them adieu with a wink and a nod, leaving the scholarly stage graced with a touch of wonder and amusement.

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 Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Sports Analytics and Entertainment Psychology

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 Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show. Respond only with the name of a fictional organization.

ChatGPT:

The Institute for Cinematic Studies and Athletic Excellence

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 Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show with an abstract of This paper delves into the intriguing relationship between the cumulative goals scored by the esteemed footballer Vincent Kompany in domestic matches and the number of tickets sold for the top movie of the year. By analyzing data sourced from Wikipedia and The Numbers, our research team uncovered a correlation coefficient of 0.8771991 with a statistically significant p-value of less than 0.01 for the period spanning 2004 to 2013. Our findings shed light on this peculiar association, raising questions and tickling the curiosity of both football enthusiasts and movie buffs alike.

ChatGPT:

Vincent Kompany goals, footballer statistics, movie ticket sales, correlation analysis, sports and entertainment, data analysis, football matches, movie box office, statistical significance, correlation coefficient, football and movie industry trends

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

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Data details

Cumulative goals scored by Vincent Kompany in domestic matches
Detailed data title: Cumulative goals scored by Vincent Kompany in domestic matches for Anderlecht, Hamburg SV, and Manchester City
Source: Wikipedia
See what else correlates with Cumulative goals scored by Vincent Kompany in domestic matches

Tickets Sold for the Top Movie of the Year
Source: The Numbers
See what else correlates with Tickets Sold for the Top Movie of the Year

Correlation r = 0.8771991 (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 = 0.7694783 (Coefficient of determination)
This means 76.9% of the change in the one variable (i.e., Tickets Sold for the Top Movie of the Year) is predictable based on the change in the other (i.e., Cumulative goals scored by Vincent Kompany in domestic matches) over the 10 years from 2004 through 2013.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00086.^Show 0.0008556693798994815000000000
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 0.88 in 0.086% of random cases. Said differently, if you correlated 1,169 random variables^Note Which I absolutely did.
with the same 9 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 9 because we have two variables measured over a period of 10 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.

[ 0.55, 0.97 ] 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.

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013
Cumulative goals scored by Vincent Kompany in domestic matches (Goals scored)	2	2	2	0	3	1	2	0	3	1
Tickets Sold for the Top Movie of the Year (Tickets sold)	70285200	59323300	64628400	48914300	73955600	53614900	52598800	48046800	78301400	50121600

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.
Y-axis doesn't start at zero: I truncated the Y-axes of the graph above. I also used a line graph, which makes the visual connection stand out more than it deserves. ^Note 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. Below is the same chart but with both Y-axes starting at zero.

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([2,2,2,0,3,1,2,0,3,1,])
array_2 = np.array([70285200,59323300,64628400,48914300,73955600,53614900,52598800,48046800,78301400,50121600,])
array_1_name = "Cumulative goals scored by Vincent Kompany in domestic matches"
array_2_name = "Tickets Sold for the Top Movie of the Year"

# 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 Cumulative goals scored by Vincent Kompany in domestic matches
Line chart for only Tickets Sold for the Top Movie of the Year
AI-generated correlation image
The spurious research paper: Scoring Galore: Exploring the Correlation between Kompany Goals and Top Movie Show

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Correlation ID: 3697 · Black Variable ID: 306 · Red Variable ID: 543


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