Spurious correlation #1,584 · View random
A linear line chart with years as the X-axis and two variables on the Y-axis. The first variable is Super Bowl point difference and the second variable is Google searches for 'where do birds go when it rains'. The chart goes from 2004 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 Super Bowl point difference and the second variable is Google searches for 'where do birds go when it rains'. The chart goes from 2004 to 2022, and the two variables track closely in value over that time.

Download png, svg

AI explanation

As the point difference in the Super Bowl increases, the winning team's fans feel on cloud nine, and decide to celebrate by putting more bird feeders in their yards. This abundance of bird food leads to flocks of feathered friends seeking shelter in those specific locations when it rains, creating a real touchdown for bird enthusiasts. After all, when it comes to avian precipitation preferences, it's all about that seed-ential real estate. The Super Bowl may be about football, but it's clear that for our feathered friends, it's a game of 'tweet' success!

^{Show image generation prompt} Model: dalle-3
Prompt: An image that looks like it is a scene from A Disney Movie - In a cozy living room, a family gathers around the TV to watch the Super Bowl. The intense game is reflected in their expressions as their team leads by a large point difference. Meanwhile, outside the window, a flock of birds seeks shelter from the rain in a nearby sturdy tree, prompting one family member to curiously Google "where do birds go when it rains." The living room has warm, welcoming colors and is adorned with cheerful decorations that convey the feeling of togetherness. The family members are drawn with animated expressions, showing a range of emotions from excitement to curiosity. The TV screen displays the intense moment of the game, amplifying the tension in the room. The rain outside is depicted with gentle, stylized droplets, and the tree hosting the birds has a whimsical, friendly appearance, making it a safe haven for the feathered creatures. 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: Super Bowl point difference and Google searches for 'where do birds go when it rains'. 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: Voxel art Cute 2D animation Cyberpunk An image that looks like it is a scene from A Disney Movie Celtic art
ChatGPT: An image that looks like it is a scene from A Disney Movie

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 Super Bowl point difference and Google searches for 'where do birds go when it rains' together. Keep the description simple.
ChatGPT: In a cozy living room, a family gathers around the TV to watch the Super Bowl. The intense game is reflected in their expressions as their team leads by a large point difference. Meanwhile, outside the window, a flock of birds seeks shelter from the rain in a nearby sturdy tree, prompting one family member to curiously Google "where do birds go when it rains."

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 A Disney Movie ] and depicting this scene: In a cozy living room, a family gathers around the TV to watch the Super Bowl. The intense game is reflected in their expressions as their team leads by a large point difference. Meanwhile, outside the window, a flock of birds seeks shelter from the rain in a nearby sturdy tree, prompting one family member to curiously Google "where do birds go when it rains." Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: An image that looks like it is a scene from A Disney Movie - In a cozy living room, a family gathers around the TV to watch the Super Bowl. The intense game is reflected in their expressions as their team leads by a large point difference. Meanwhile, outside the window, a flock of birds seeks shelter from the rain in a nearby sturdy tree, prompting one family member to curiously Google "where do birds go when it rains." The living room has warm, welcoming colors and is adorned with cheerful decorations that convey the feeling of togetherness. The family members are drawn with animated expressions, showing a range of emotions from excitement to curiosity. The TV screen displays the intense moment of the game, amplifying the tension in the room. The rain outside is depicted with gentle, stylized droplets, and the tree hosting the birds has a whimsical, friendly appearance, making it a safe haven for the feathered creatures.

*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 increases in Super Bowl point difference positively influenced where do birds go when it rains (Google searches for 'where do birds go when it rains'). Include one good pun.

AI academic paper

(Because p < 0.01)

The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More!

The Journal of Quirky Quandaries

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 dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Super Bowl point difference and Google searches for 'where do birds go when it rains'. 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 name a couple popular internet memes that are related to one of the topics.

Here is the title and abstract of the paper:
[[TITLE]]
The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More!

[[ABSTRACT]]
This study delves into the seemingly unrelated worlds of football and avian rainfall shelter in an attempt to unravel their clandestine connection. Utilizing data from Wikipedia and Google Trends, the research team subjected the Super Bowl point difference and the frequency of Google searches for "where do birds go when it rains" to rigorous statistical analysis. Surprisingly, a formidable correlation coefficient of 0.7579386 and p < 0.01 emerged, suggesting that the fluctuations in Super Bowl results may indeed precipitate a surge in queries about bird behavior in inclement weather. The implications of this seemingly far-fetched correlation may just have ornithologists and football enthusiasts dancing in the end zone.

-------

And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
The insatiable human curiosity has led researchers down unexpectedly meandering paths in pursuit of knowledge. From the mysteries of the cosmos to the quirks of everyday life, no stone has been left unturned. In this vein, our study embarks on a delightful journey through the realms of sports and avian behavior, seeking to uncover the enigmatic relationship between the point difference of Super Bowl games and the fervent Google searches for "where do birds go when it rains."
At first glance, the notion of a connection between the outcome of a football extravaganza and avian precipitation evasion may seem preposterous, akin to attempting to calculate the coefficient of determination for the likelihood of encountering a black cat on Friday the 13th. Nevertheless, as we delve into the data with the fervor of a birdwatcher spotting a rare warbler, we uncover a surprising intertwining of these seemingly disparate phenomena.
The path to enlightenment winds through the hallowed halls of statistical analysis, where the tango of variables and p-values can yield unexpected revelations. Like intrepid explorers navigating uncharted territories of numerical significance, we have unearthed a correlation coefficient that would give even the most seasoned statistician pause. It stands as a testament to the intricate dance of numbers and human behavior, akin to finding an unexpected partner at a masquerade ball.
Our pursuit is not merely an intellectual exercise but holds implications that could sway the hearts and minds of both bird aficionados and sports enthusiasts alike. For, in the midst of our seemingly whimsical quest, we may have stumbled upon a thread that ties together the leaping joy of a touchdown with the secret hideaways of our feathered friends in inclement weather. Join us in this scientific adventure, where the unexpected becomes the norm, and where the obscure leads to enlightenment.

-------

Your response should start like this:

[[LITERATURE REVIEW]]

ChatGPT:
[[LITERATURE REVIEW]]

In "Smith et al.," the authors find evidence that the point difference in Super Bowl games may have unexpected impacts on societal behavior. In a similar vein, "Doe and Jones" delve into the idiosyncrasies of human curiosity and information-seeking patterns in the digital age.

Moving beyond the confines of academic research, "The Avian Dilemma" by A. Featherstone provides a fascinating glimpse into the enigmatic world of birds and their peculiar behaviors. Likewise, "Football Follies" by Gridiron Guru presents a lighthearted yet informative take on the intricacies of America's favorite pastime.

Delving into the realm of fiction, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams tickles the imagination with its whimsical exploration of the universe and all its peculiarities. On a similar note, "To Kill a Mockingbird" by Harper Lee offers a poignant reflection on the hidden complexities of avian life.

Turning to internet culture, the meme "Distracted Boyfriend" mirrors the surprising distractions that may arise in the midst of seemingly unrelated pursuits. Meanwhile, the "Bird Box Challenge" meme sheds light on the unexpected perils and adventures that may emerge from the quest to understand avian behavior in adverse weather conditions.

As we unravel the tangled web of correlations and unexpected connections, the seemingly disparate worlds of sports and avian inquiries converge in an unlikely symphony of meaningful patterns. The data paint a picture that challenges conventional wisdom and beckons us to embrace the whimsy of scholarly exploration.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Super Bowl point difference and Google searches for 'where do birds go when it rains'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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

For the time period 2004 to 2022, you found a correlation 0.7579386, r-squared of 0.5744709, 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]]
The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More!

[[ABSTRACT]]
This study delves into the seemingly unrelated worlds of football and avian rainfall shelter in an attempt to unravel their clandestine connection. Utilizing data from Wikipedia and Google Trends, the research team subjected the Super Bowl point difference and the frequency of Google searches for "where do birds go when it rains" to rigorous statistical analysis. Surprisingly, a formidable correlation coefficient of 0.7579386 and p < 0.01 emerged, suggesting that the fluctuations in Super Bowl results may indeed precipitate a surge in queries about bird behavior in inclement weather. The implications of this seemingly far-fetched correlation may just have ornithologists and football enthusiasts dancing in the end zone.

-------

And here is the methodology section that led to this result:
[[METHODOLOGY]]
The insatiable human curiosity has led researchers down unexpectedly meandering paths in pursuit of knowledge. From the mysteries of the cosmos to the quirks of everyday life, no stone has been left unturned. In this vein, our study embarks on a delightful journey through the realms of sports and avian behavior, seeking to uncover the enigmatic relationship between the point difference of Super Bowl games and the fervent Google searches for "where do birds go when it rains."
At first glance, the notion of a connection between the outcome of a football extravaganza and avian precipitation evasion may seem preposterous, akin to attempting to calculate the coefficient of determination for the likelihood of encountering a black cat on Friday the 13th. Nevertheless, as we delve into the data with the fervor of a birdwatcher spotting a rare warbler, we uncover a surprising intertwining of these seemingly disparate phenomena.
The path to enlightenment winds through the hallowed halls of statistical analysis, where the tango of variables and p-values can yield unexpected revelations. Like intrepid explorers navigating uncharted territories of numerical significance, we have unearthed a correlation coefficient that would give even the most seasoned statistician pause. It stands as a testament to the intricate dance of numbers and human behavior, akin to finding an unexpected partner at a masquerade ball.
Our pursuit is not merely an intellectual exercise but holds implications that could sway the hearts and minds of both bird aficionados and sports enthusiasts alike. For, in the midst of our seemingly whimsical quest, we may have stumbled upon a thread that ties together the leaping joy of a touchdown with the secret hideaways of our feathered friends in inclement weather. Join us in this scientific adventure, where the unexpected becomes the norm, and where the obscure leads to enlightenment.

-------

Your response should start like this:

[[RESULTS]]

ChatGPT:

[[RESULTS]]

The analysis revealed a noteworthy correlation between the point difference of Super Bowl games and the frequency of Google searches for "where do birds go when it rains." The calculated correlation coefficient of 0.7579386 suggests a strong positive relationship between these seemingly incongruous variables. One might say the connection is as tight as a well-thrown spiral pass! This unexpected finding may lead to an improved understanding of the human psyche, as well as the behaviors of our fine feathered friends.

Furthermore, the r-squared value of 0.5744709 indicates that approximately 57.45% of the variability in "where do birds go when it rains" Google searches can be explained by the point difference of Super Bowl games. It seems that not only are birds drawn to shelter in the rain, but football outcomes might also steer human curiosity in their direction. As the saying goes, "birds of a feather search together"!

Importantly, the p-value of less than 0.01 provides strong evidence against the null hypothesis of no relationship between these variables. It seems that this connection is no mere statistical fumble, but a genuine touchdown for the world of quirky correlations!

To visualize the strength of this unexpected relationship, a scatterplot (Fig. 1) was constructed, displaying the clustered pattern of the data points. The conspicuous clustering of data points along a diagonal line serves as a visual testament to the robust correlation discovered. It's almost as clear as the trajectory of a successful field goal!

In conclusion, the unearthing of a substantial correlation between the point difference of Super Bowl games and Google searches for avian precipitation refuge is a testament to the curious and often surprising nature of human behavior. It illustrates that, in the tapestry of human interests and inquiries, even the most unlikely pairings can dance together in statistical harmony.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Super Bowl point difference and Google searches for 'where do birds go when it rains'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More!

[[ABSTRACT]]
This study delves into the seemingly unrelated worlds of football and avian rainfall shelter in an attempt to unravel their clandestine connection. Utilizing data from Wikipedia and Google Trends, the research team subjected the Super Bowl point difference and the frequency of Google searches for "where do birds go when it rains" to rigorous statistical analysis. Surprisingly, a formidable correlation coefficient of 0.7579386 and p < 0.01 emerged, suggesting that the fluctuations in Super Bowl results may indeed precipitate a surge in queries about bird behavior in inclement weather. The implications of this seemingly far-fetched correlation may just have ornithologists and football enthusiasts dancing in the end zone.

[[LITERATURE REVIEW]]
In "Smith et al.," the authors find evidence that the point difference in Super Bowl games may have unexpected impacts on societal behavior. In a similar vein, "Doe and Jones" delve into the idiosyncrasies of human curiosity and information-seeking patterns in the digital age.
Moving beyond the confines of academic research, "The Avian Dilemma" by A. Featherstone provides a fascinating glimpse into the enigmatic world of birds and their peculiar behaviors. Likewise, "Football Follies" by Gridiron Guru presents a lighthearted yet informative take on the intricacies of America's favorite pastime.
Delving into the realm of fiction, "The Hitchhiker's Guide to the Galaxy" by Douglas Adams tickles the imagination with its whimsical exploration of the universe and all its peculiarities. On a similar note, "To Kill a Mockingbird" by Harper Lee offers a poignant reflection on the hidden complexities of avian life.
Turning to internet culture, the meme "Distracted Boyfriend" mirrors the surprising distractions that may arise in the midst of seemingly unrelated pursuits. Meanwhile, the "Bird Box Challenge" meme sheds light on the unexpected perils and adventures that may emerge from the quest to understand avian behavior in adverse weather conditions.
As we unravel the tangled web of correlations and unexpected connections, the seemingly disparate worlds of sports and avian inquiries converge in an unlikely symphony of meaningful patterns. The data paint a picture that challenges conventional wisdom and beckons us to embrace the whimsy of scholarly exploration.

[[RESULTS]]
The analysis revealed a noteworthy correlation between the point difference of Super Bowl games and the frequency of Google searches for "where do birds go when it rains." The calculated correlation coefficient of 0.7579386 suggests a strong positive relationship between these seemingly incongruous variables. One might say the connection is as tight as a well-thrown spiral pass! This unexpected finding may lead to an improved understanding of the human psyche, as well as the behaviors of our fine feathered friends.
Furthermore, the r-squared value of 0.5744709 indicates that approximately 57.45% of the variability in "where do birds go when it rains" Google searches can be explained by the point difference of Super Bowl games. It seems that not only are birds drawn to shelter in the rain, but football outcomes might also steer human curiosity in their direction. As the saying goes, "birds of a feather search together"!
Importantly, the p-value of less than 0.01 provides strong evidence against the null hypothesis of no relationship between these variables. It seems that this connection is no mere statistical fumble, but a genuine touchdown for the world of quirky correlations!
To visualize the strength of this unexpected relationship, a scatterplot (Fig. 1) was constructed, displaying the clustered pattern of the data points. The conspicuous clustering of data points along a diagonal line serves as a visual testament to the robust correlation discovered. It's almost as clear as the trajectory of a successful field goal!
In conclusion, the unearthing of a substantial correlation between the point difference of Super Bowl games and Google searches for avian precipitation refuge is a testament to the curious and often surprising nature of human behavior. It illustrates that, in the tapestry of human interests and inquiries, even the most unlikely pairings can dance together in statistical harmony.

-------

Your response should start like this:

[[DISCUSSION]]

ChatGPT:

[[DISCUSSION]]

The interplay between the point difference of the Super Bowl games and the frequency of Google searches for "where do birds go when it rains" gives rise to a fascinating confluence of seemingly unrelated dimensions. Our findings echo and expand upon previous research that hints at the impact of large-scale events on societal behavior, such as the work by Smith et al., who uncovered unexpected effects of sports outcomes on human activities. Similarly, the insights from "The Avian Dilemma" by A. Featherstone, though fictional, strike a chord of relevance in highlighting the enigmatic nature of avian behaviors and the quest to understand them. Furthermore, "Football Follies" by Gridiron Guru offers a lighthearted yet poignant glimpse into the intricacies of football, emphasizing the myriad ways in which the sport permeates popular culture.

Our data underscore the notion that human behavior is not only influenced by conscious and logical processes but also by inadvertent and spurious avenues of influence. The discovery of a robust correlation coefficient of 0.7579386 between Super Bowl point differences and "where do birds go when it rains" Google searches bolsters the hypothesis that seemingly unconnected phenomena may share deeper, if not whimsical, connections. This fortuitous finding underscores the potential for unexpected relationships to emerge from the most obscure of associations.

The statistical analysis further revealed that approximately 57.45% of the variability in "where do birds go when it rains" Google searches can be elucidated by the point difference of Super Bowl games. This finding underscores the compelling nature of the relationship and suggests that, much like a well-executed play, there are nuances and complexity in the interplay between human curiosity and major sporting events.

The presence of a p-value of less than 0.01 provides compelling evidence against the null hypothesis and reinforces the credibility of the identified relationship. This empirical support dismisses any notion of a statistical fumble and, instead, underscores the legitimacy of this curious connection.

In conclusion, it is clear that the unexpected correlation uncovered in this study is not a mere statistical oddity but an intriguing revelation with potentially wide-ranging implications. This discovery underscores the imperative to view human conduct through a broad and imaginative lens and to embrace the capricious nature of statistical analyses. After all, as with the unpredictable trajectory of a field goal, statistical relationships can defy expectations and set the stage for a game-changing reevaluation of human behavior and its intricate interplay with diverse realms of interest.

Model: gpt-3.5-turbo-1106
System prompt: You are a dry but witty academic researcher. You speak in the passive voice, and your writing sounds like it belongs in a medical or economics journal.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 Super Bowl point difference and Google searches for 'where do birds go when it rains'. Make lots of jokes, goofy observations, and puns. Sneak in some jokes and clever puns about science, research, statistics, and the variables.

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]]
The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More!

[[ABSTRACT]]
This study delves into the seemingly unrelated worlds of football and avian rainfall shelter in an attempt to unravel their clandestine connection. Utilizing data from Wikipedia and Google Trends, the research team subjected the Super Bowl point difference and the frequency of Google searches for "where do birds go when it rains" to rigorous statistical analysis. Surprisingly, a formidable correlation coefficient of 0.7579386 and p < 0.01 emerged, suggesting that the fluctuations in Super Bowl results may indeed precipitate a surge in queries about bird behavior in inclement weather. The implications of this seemingly far-fetched correlation may just have ornithologists and football enthusiasts dancing in the end zone.

[[INTRDUCTION]]
The insatiable human curiosity has led researchers down unexpectedly meandering paths in pursuit of knowledge. From the mysteries of the cosmos to the quirks of everyday life, no stone has been left unturned. In this vein, our study embarks on a delightful journey through the realms of sports and avian behavior, seeking to uncover the enigmatic relationship between the point difference of Super Bowl games and the fervent Google searches for "where do birds go when it rains."
At first glance, the notion of a connection between the outcome of a football extravaganza and avian precipitation evasion may seem preposterous, akin to attempting to calculate the coefficient of determination for the likelihood of encountering a black cat on Friday the 13th. Nevertheless, as we delve into the data with the fervor of a birdwatcher spotting a rare warbler, we uncover a surprising intertwining of these seemingly disparate phenomena.
The path to enlightenment winds through the hallowed halls of statistical analysis, where the tango of variables and p-values can yield unexpected revelations. Like intrepid explorers navigating uncharted territories of numerical significance, we have unearthed a correlation coefficient that would give even the most seasoned statistician pause. It stands as a testament to the intricate dance of numbers and human behavior, akin to finding an unexpected partner at a masquerade ball.
Our pursuit is not merely an intellectual exercise but holds implications that could sway the hearts and minds of both bird aficionados and sports enthusiasts alike. For, in the midst of our seemingly whimsical quest, we may have stumbled upon a thread that ties together the leaping joy of a touchdown with the secret hideaways of our feathered friends in inclement weather. Join us in this scientific adventure, where the unexpected becomes the norm, and where the obscure leads to enlightenment.

[[RESULTS]]
The analysis revealed a noteworthy correlation between the point difference of Super Bowl games and the frequency of Google searches for "where do birds go when it rains." The calculated correlation coefficient of 0.7579386 suggests a strong positive relationship between these seemingly incongruous variables. One might say the connection is as tight as a well-thrown spiral pass! This unexpected finding may lead to an improved understanding of the human psyche, as well as the behaviors of our fine feathered friends.
Furthermore, the r-squared value of 0.5744709 indicates that approximately 57.45% of the variability in "where do birds go when it rains" Google searches can be explained by the point difference of Super Bowl games. It seems that not only are birds drawn to shelter in the rain, but football outcomes might also steer human curiosity in their direction. As the saying goes, "birds of a feather search together"!
Importantly, the p-value of less than 0.01 provides strong evidence against the null hypothesis of no relationship between these variables. It seems that this connection is no mere statistical fumble, but a genuine touchdown for the world of quirky correlations!
To visualize the strength of this unexpected relationship, a scatterplot (Fig. 1) was constructed, displaying the clustered pattern of the data points. The conspicuous clustering of data points along a diagonal line serves as a visual testament to the robust correlation discovered. It's almost as clear as the trajectory of a successful field goal!
In conclusion, the unearthing of a substantial correlation between the point difference of Super Bowl games and Google searches for avian precipitation refuge is a testament to the curious and often surprising nature of human behavior. It illustrates that, in the tapestry of human interests and inquiries, even the most unlikely pairings can dance together in statistical harmony.

-------

Your response should start like this:

[[CONCLUSION]]

ChatGPT:

[[CONCLUSION]]

In conclusion, this whimsical journey through the hallowed halls of statistical analysis has illuminated a peculiar connection between the thrill of football and the shelter-seeking habits of our feathered friends. The noteworthy correlation between the point difference of Super Bowl games and the frequency of Google searches for "where do birds go when it rains" suggests that these seemingly incongruous phenomena might have more in common than meets the eye. It's as if football fans and bird enthusiasts are doing the statistical tango in unison!

The implications of this unexpected correlation are far-reaching, transcending the boundaries of sports and ornithology. One might say it's a touchdown for interdisciplinary research! The r-squared value of 0.5744709 indicates that over half of the variability in Google searches for avian precipitation refuge can be explained by Super Bowl outcomes. Who knew that a winning field goal could also kick up interest in our avian companions' rainy-day haunts?

The visual representation of this correlation in the form of a scatterplot (Fig. 1) showcases the intriguing clustering of data points along a diagonal line, as if our statistical analysis has crafted a delightful ode to the union of sports and nature. It's as fitting as a quarterback's spiral pass!

Finally, we assert with utmost confidence that no further research is needed in this area. The discovery of this robust correlation has shed light on the unexpected connections that can be found amidst the vast tapestry of human interests and inquiries. It seems that, when it comes to statistical oddities, the sky's the limit!

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 The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More!. Respond only with the name of a fictional academic journal.

ChatGPT:

The Journal of Quirky Quandaries

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 The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More!. Respond only with the name of a fictional organization.

ChatGPT:

The Center for Avian Behavior and Sports Statistics

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 The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More! with an abstract of This study delves into the seemingly unrelated worlds of football and avian rainfall shelter in an attempt to unravel their clandestine connection. Utilizing data from Wikipedia and Google Trends, the research team subjected the Super Bowl point difference and the frequency of Google searches for "where do birds go when it rains" to rigorous statistical analysis. Surprisingly, a formidable correlation coefficient of 0.7579386 and p < 0.01 emerged, suggesting that the fluctuations in Super Bowl results may indeed precipitate a surge in queries about bird behavior in inclement weather. The implications of this seemingly far-fetched correlation may just have ornithologists and football enthusiasts dancing in the end zone.

ChatGPT:

Super Bowl point difference, Google search frequency, "where do birds go when it rains", correlation coefficient, statistical analysis, avian behavior, Super Bowl results, football statistics, ornithology, weather patterns, football enthusiasts, bird shelter, Google Trends, Wikipedia data

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

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Data details

Super Bowl point difference
Source: Wikipedia
See what else correlates with Super Bowl point difference

Google searches for 'where do birds go when it rains'
Detailed data title: Relative volume of Google searches for 'where do birds go when it rains' (Worldwide, without quotes)
Source: Google Trends
Additional Info: ^{See full details} Relative search volume (not absolute numbers)

See what else correlates with Google searches for 'where do birds go when it rains'

Correlation r = 0.7579386 (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 = 0.5744709 (Coefficient of determination)
This means 57.4% of the change in the one variable (i.e., Google searches for 'where do birds go when it rains') is predictable based on the change in the other (i.e., Super Bowl point difference) over the 19 years from 2004 through 2022.

p < 0.01, which is statistically significant(Null hypothesis significance test)
The p-value is 0.00017.^Show 0.0001701918247348582000000000
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 0.76 in 0.017% of random cases. Said differently, if you correlated 5,876 random variables^Note Which I absolutely did.
with the same 18 degrees of freedom, ^Note Degrees of freedom is a measure of how many free components we are testing. In this case it is 18 because we have two variables measured over a period of 19 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.

[ 0.46, 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.

	2004	2005	2006	2007	2008	2009	2010	2011	2012	2013	2014	2015	2016	2017	2018	2019	2020	2021	2022
Super Bowl point difference (Points)	3	3	11	12	3	4	14	6	4	3	35	14	14	6	8	10	11	22	3
Google searches for 'where do birds go when it rains' (Rel. search volume)	2.83333	2.25	0.666667	1.41667	1.08333	0.833333	1.16667	1.16667	0.916667	0.75	10.75	3	2.08333	1.75	1.5	1.63636	1.91667	1.75	1.72727

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([3,3,11,12,3,4,14,6,4,3,35,14,14,6,8,10,11,22,3,])
array_2 = np.array([2.83333,2.25,0.666667,1.41667,1.08333,0.833333,1.16667,1.16667,0.916667,0.75,10.75,3,2.08333,1.75,1.5,1.63636,1.91667,1.75,1.72727,])
array_1_name = "Super Bowl point difference"
array_2_name = "Google searches for 'where do birds go when it rains'"

# 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 Super Bowl point difference
Line chart for only Google searches for 'where do birds go when it rains'
AI-generated correlation image
The spurious research paper: The Scoop on Super Bowl Score and 'Where Do Birds Go' Google Search More!

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Correlation ID: 1584 · Black Variable ID: 541 · Red Variable ID: 1468


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