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AI explanation
The penguins' dancing created a distracting spectacle for the baseball players, leading to fewer runs being scored.Model: dalle-3
Prompt: Generate an image that unfolds on a Discovery magazine cover, depicting the contrasting scenes of a baseball stadium and an Antarctic landscape. The initial scene should showcase a vibrant baseball stadium on a sunny day, with the field bathed in bright sunlight. Players should be seen hitting consistent home runs, while the crowd exudes enthusiastic cheers and energy. Transition to the contrasting image of the Antarctic landscape, illustrating solar panels covered in snow and ice, unable to harness the sunlight effectively. As the scene shifts, the stadium lights dim, and the players visibly struggle to hit the ball far, with the crowd reflecting confusion and disappointment. Ensure the visual depiction remains simple, without the inclusion of any words or speech bubbles. The depiction should include only scenes, people, and objects, it should not include text or speech bubbles.
This image generation prompt was also generated by AI, using the following sequence:
Model: gpt-3.5-turbo-1106
System prompt: You select one of a few potential scene descriptors that seems to go along with the situation described. You respond only with the scene descriptions provided and say nothing else.
User prompt: Here is a situation: "Breaking News: The chilling effects of decreased renewable energy production in Antarctica have hit home as the total runs scored in the World Series have plummeted. It seems that the lack of solar power down south has put a freeze on the players' energy, leading to a shocking decrease in home runs and a general 'cooling off' of the game. It's a polarizing issue, to say the least!". Given that situation, which of the following image descriptions seems most appropriate? Pick the one that seems to be related to one of the variables at hand and the tone of the explanation. Please respond with only one of the following potential descriptions: Concept art Whimsical illustration An image that looks like it is a scene from A Disney Movie A Discovery magazine cover image A comic-book-style illustration with muted colors and a dotted halftone pattern from the 1960s
ChatGPT: A Discovery magazine cover image
Model: gpt-3.5-turbo-1106
System prompt: You describe simple visual scenes that depict the two variables stated and the explanation described. Do not reference graphs or charts; describe physical objects.
User prompt: Please describe a visual scene that depicts the following situation. Keep the description simple. "Breaking News: The chilling effects of decreased renewable energy production in Antarctica have hit home as the total runs scored in the World Series have plummeted. It seems that the lack of solar power down south has put a freeze on the players' energy, leading to a shocking decrease in home runs and a general 'cooling off' of the game. It's a polarizing issue, to say the least!"
ChatGPT: Imagine a baseball stadium on a sunny day, with bright sunlight shining down on the field. In the first scene, players are hitting home runs left and right, with the crowd cheering and excitement in the air. Then, the scene shifts to the Antarctic landscape, where solar panels are covered in snow and ice, unable to capture the sunlight. The stadium's lights dim, and the players are visibly struggling to hit the ball as far, with the crowd looking puzzled and disappointed.
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 Discovery magazine cover image ] and depicting this scene: Imagine a baseball stadium on a sunny day, with bright sunlight shining down on the field. In the first scene, players are hitting home runs left and right, with the crowd cheering and excitement in the air. Then, the scene shifts to the Antarctic landscape, where solar panels are covered in snow and ice, unable to capture the sunlight. The stadium's lights dim, and the players are visibly struggling to hit the ball as far, with the crowd looking puzzled and disappointed. Keep the visual depiction simple. Do not include any words or speech bubbles.
ChatGPT: Generate an image that unfolds on a Discovery magazine cover, depicting the contrasting scenes of a baseball stadium and an Antarctic landscape. The initial scene should showcase a vibrant baseball stadium on a sunny day, with the field bathed in bright sunlight. Players should be seen hitting consistent home runs, while the crowd exudes enthusiastic cheers and energy. Transition to the contrasting image of the Antarctic landscape, illustrating solar panels covered in snow and ice, unable to harness the sunlight effectively. As the scene shifts, the stadium lights dim, and the players visibly struggle to hit the ball far, with the crowd reflecting confusion and disappointment. Ensure the visual depiction remains simple, without the inclusion of any words or speech bubbles.
*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.
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 Renewable energy production in Antarctica caused Total runs scored in the World Series to decrease.\Make it sound serious until the end.
AI academic paper
Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation The Journal of Eccentric Ecological Entanglements Jan 2024 Reminder: This paper is AI-generated. Not real! |
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You write titles and abstracts of goofy academic research papers.
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, and add unexpected twists in your writing.
Please draft the title and abstract of an academic research paper presenting the findings of the connection between Renewable energy production in Antarctica and Total runs scored in the World Series. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
Make the title an alliteration.
Your research team used data from Energy Information Administration and Wikipedia to assess this nagging question. You found a correlation coefficient of 0.7544545 and p < 0.05 for 2005 to 2013.
Please respond in this format (replace "Lorem ipsum dolor sit" with your title and abstract)
[[TITLE]]
Lorem ipsum dolor sit
[[ABSTRACT]]
Lorem ipsum dolor sit
ChatGPT:
[[TITLE]]
Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation
[[ABSTRACT]]
Renewable energy production in Antarctica has long been a subject of interest for its potential to mitigate climate change, but its connection to the outcome of the World Series is a less explored territory. In this lighthearted but data-driven study, we dive into the connection between energy generated from wind, solar, and hydro sources in Antarctica and the total runs scored in the World Series. The pun-laden journey begins with an examination of the Energy Information Administration's reports and balanced by the quirky statistics of World Series matchups.
Our findings reveal a surprising correlation coefficient of 0.7544545 (yes, we like precision to that many decimal places) and a significance level of p < 0.05 for the period from 2005 to 2013. This jovial correlation insinuates a potential impact of renewable energy generation in the icy terrain of Antarctica on the scoring trends in the beloved baseball championship. It appears that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, and perhaps sets the stage for a "powerful" winning streak. However, causation remains a mystery, leaving us with a dad joke-worthy conundrum: What did the home plate say to the solar panel? "I've got you covered!"
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.You draft the introduction 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 introduction section of an academic research paper presenting the findings of the connection between Renewable energy production in Antarctica and Total runs scored in the World Series. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. Stay serious and dry most of the time, but then occasionally let your wit shine through.
Here is the title and abstract of the paper:
[[TITLE]]
Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation
[[ABSTRACT]]
Renewable energy production in Antarctica has long been a subject of interest for its potential to mitigate climate change, but its connection to the outcome of the World Series is a less explored territory. In this lighthearted but data-driven study, we dive into the connection between energy generated from wind, solar, and hydro sources in Antarctica and the total runs scored in the World Series. The pun-laden journey begins with an examination of the Energy Information Administration's reports and balanced by the quirky statistics of World Series matchups.
Our findings reveal a surprising correlation coefficient of 0.7544545 (yes, we like precision to that many decimal places) and a significance level of p < 0.05 for the period from 2005 to 2013. This jovial correlation insinuates a potential impact of renewable energy generation in the icy terrain of Antarctica on the scoring trends in the beloved baseball championship. It appears that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, and perhaps sets the stage for a "powerful" winning streak. However, causation remains a mystery, leaving us with a dad joke-worthy conundrum: What did the home plate say to the solar panel? "I've got you covered!"
-------
Your response should start like this:
[[INTRODUCTION]]
ChatGPT:
[[INTRODUCTION]]
As the global community grapples with the pressing need to transition towards sustainable and renewable energy sources, attention has turned to the remote and often frigid landscapes of Antarctica. The potential for wind, solar, and hydro energy generation in this inhospitable environment has captured the imagination of researchers and renewable energy enthusiasts alike. The prospect of harnessing Antarctica's abundant natural resources to power the world seems almost as far-fetched as the idea of a penguin becoming a baseball umpire – but as our study reveals, reality can often outdo even the most far-fetched of illusions.
The notion of linking renewable energy production in Antarctica with the outcome of the World Series may initially evoke raised eyebrows and bemused chuckles – much like the sight of a penguin attempting to steal second base. However, when we delve into the data with the same rigor as a team manager reviewing pitching statistics, a fascinating story emerges, one that could potentially impact the future of renewable energy adoption and perhaps add a touch of whimsy to the game of statistics.
In this study, we have sought to explore this uncharted territory with a serious eye and maybe a wink or two, analyzing the connection between renewable energy production in Antarctica and the total runs scored in the World Series from 2005 to 2013. The question we pose may sound as improbable as a polar bear joining a baseball team, but we approach it with a scientist's skepticism and a comedian's penchant for good timing. After all, there's no harm in adding a dash of humor to a discussion on two seemingly unrelated topics – just as long as we don't get "caught looking."
The findings of this research endeavor promise to shed light on the potential interplay between sustainability and sports, and who knows, it might even give rise to a new category of baseball statistics focusing on the "renewable run rate." Without further ado, let us embark on this unique journey, armed with baseball bats of data and solar panels of analysis, to uncover the rib-tickling, eyebrow-raising, and yes, even thought-provoking dynamics between renewable energy production in Antarctica and the total runs scored in the World Series. As we navigate the uncharted territories of statistical analysis, we are reminded of a classic dad joke: Why did the baseball team go to the Antarctica? To chill out and find some “cool” energy!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Renewable energy production in Antarctica and Total runs scored in the World Series. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences.
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 devolve ever further, and mention something completely ridiculous, like you conducted literature review by reading CVS receipts.
Here is the title and abstract of the paper:
[[TITLE]]
Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation
[[ABSTRACT]]
Renewable energy production in Antarctica has long been a subject of interest for its potential to mitigate climate change, but its connection to the outcome of the World Series is a less explored territory. In this lighthearted but data-driven study, we dive into the connection between energy generated from wind, solar, and hydro sources in Antarctica and the total runs scored in the World Series. The pun-laden journey begins with an examination of the Energy Information Administration's reports and balanced by the quirky statistics of World Series matchups.
Our findings reveal a surprising correlation coefficient of 0.7544545 (yes, we like precision to that many decimal places) and a significance level of p < 0.05 for the period from 2005 to 2013. This jovial correlation insinuates a potential impact of renewable energy generation in the icy terrain of Antarctica on the scoring trends in the beloved baseball championship. It appears that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, and perhaps sets the stage for a "powerful" winning streak. However, causation remains a mystery, leaving us with a dad joke-worthy conundrum: What did the home plate say to the solar panel? "I've got you covered!"
-------
And here is the introduction section that led to this literature review:
[[INTRODUCTION]]
As the global community grapples with the pressing need to transition towards sustainable and renewable energy sources, attention has turned to the remote and often frigid landscapes of Antarctica. The potential for wind, solar, and hydro energy generation in this inhospitable environment has captured the imagination of researchers and renewable energy enthusiasts alike. The prospect of harnessing Antarctica's abundant natural resources to power the world seems almost as far-fetched as the idea of a penguin becoming a baseball umpire – but as our study reveals, reality can often outdo even the most far-fetched of illusions.
The notion of linking renewable energy production in Antarctica with the outcome of the World Series may initially evoke raised eyebrows and bemused chuckles – much like the sight of a penguin attempting to steal second base. However, when we delve into the data with the same rigor as a team manager reviewing pitching statistics, a fascinating story emerges, one that could potentially impact the future of renewable energy adoption and perhaps add a touch of whimsy to the game of statistics.
In this study, we have sought to explore this uncharted territory with a serious eye and maybe a wink or two, analyzing the connection between renewable energy production in Antarctica and the total runs scored in the World Series from 2005 to 2013. The question we pose may sound as improbable as a polar bear joining a baseball team, but we approach it with a scientist's skepticism and a comedian's penchant for good timing. After all, there's no harm in adding a dash of humor to a discussion on two seemingly unrelated topics – just as long as we don't get "caught looking."
The findings of this research endeavor promise to shed light on the potential interplay between sustainability and sports, and who knows, it might even give rise to a new category of baseball statistics focusing on the "renewable run rate." Without further ado, let us embark on this unique journey, armed with baseball bats of data and solar panels of analysis, to uncover the rib-tickling, eyebrow-raising, and yes, even thought-provoking dynamics between renewable energy production in Antarctica and the total runs scored in the World Series. As we navigate the uncharted territories of statistical analysis, we are reminded of a classic dad joke: Why did the baseball team go to the Antarctica? To chill out and find some “cool” energy!
-------
Your response should start like this:
[[LITERATURE REVIEW]]
ChatGPT:
[[LITERATURE REVIEW]]
Smith (2017) investigates the potential of wind energy generation in the harsh climate of Antarctica and its implications for global sustainability. The study highlights the challenges and opportunities of harnessing the icy gusts to power the world, shedding light on a topic as intriguing as a penguin's career in figure skating. Doe (2019) delves into the prospects of solar energy production in Antarctica, drawing attention to the region's unique seasonal patterns and their impact on energy generation. The research presents solar power as a viable contender in the quest for renewable energy sources, not unlike a penguin surefootedly navigating the shifting ice.
Turning to the domain of baseball statistics, Jones (2015) analyzes the trends and patterns in World Series runs scored, offering insights into the dynamics of offense and defense in the renowned championship. The research captures the essence of strategic gameplay and the excitement of pivotal moments, akin to a penguin stealing the spotlight in a talent show. In "The Physics of Baseball" by Adair (1997), the author explores the science behind the beloved sport, uncovering the intricacies of bat-ball interactions and the role of weather conditions in shaping gameplay. The book strikes a chord with the study's exploration of Antarctica's environmental factors and their potential influence on energy production and perhaps an unexpected curveball in World Series runs.
Branching into the realm of fiction, "The Yips" by Vowell (2015) ventures into the quirky world of baseball superstitions and rituals. While purely fictional, the book's humorous take on the sport's idiosyncrasies adds a dash of whimsy to the serious pursuit of understanding the connection between Antarctic renewable energy and World Series runs, not unlike a penguin swapping its tuxedo for a baseball jersey. In contrast, "The Ice Limit" by Preston and Child (2000) navigates the chilling suspense of an Antarctic expedition, capturing the allure and enigma of the continent's icy landscapes. The thrilling narrative resonates with the enigmatic correlation between renewable energy in Antarctica and the total runs scored in the World Series, as mysterious as a penguin's best-kept secret.
In an unconventional turn of sourcing, the authors take a lighthearted detour to explore the uncharted territories of literature review, scouring through grocery lists, and comically long CVS receipts in search of hidden insights. While the essence of these findings may be as elusive as a penguin in a snowstorm, they add an element of unexpected hilarity to an otherwise rigorous pursuit of scholarly wisdom. For instance, the study uncovers a potential link between the purchase of frozen treats and an increase in World Series runs, hinting at a sweet correlation as amusing as a penguin's love for ice cream jokes.
In the spirit of academic inquiry and light-hearted exploration, these diverse sources set the stage for a whimsical yet data-driven analysis of the curious correlation between renewable energy production in Antarctica and the total runs scored in the World Series. As we weave through the intellectual tapestry of findings and theories, let us not forget the timeless wisdom of a dad joke – Why don't penguins like talking to strangers at parties? Because they find it hard to break the ice!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Renewable energy production in Antarctica and Total runs scored in the World Series. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 Energy Information Administration and Wikipedia . You used data from 2005 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]]
Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation
[[ABSTRACT]]
Renewable energy production in Antarctica has long been a subject of interest for its potential to mitigate climate change, but its connection to the outcome of the World Series is a less explored territory. In this lighthearted but data-driven study, we dive into the connection between energy generated from wind, solar, and hydro sources in Antarctica and the total runs scored in the World Series. The pun-laden journey begins with an examination of the Energy Information Administration's reports and balanced by the quirky statistics of World Series matchups.
Our findings reveal a surprising correlation coefficient of 0.7544545 (yes, we like precision to that many decimal places) and a significance level of p < 0.05 for the period from 2005 to 2013. This jovial correlation insinuates a potential impact of renewable energy generation in the icy terrain of Antarctica on the scoring trends in the beloved baseball championship. It appears that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, and perhaps sets the stage for a "powerful" winning streak. However, causation remains a mystery, leaving us with a dad joke-worthy conundrum: What did the home plate say to the solar panel? "I've got you covered!"
[[INTRODUCTION]]
As the global community grapples with the pressing need to transition towards sustainable and renewable energy sources, attention has turned to the remote and often frigid landscapes of Antarctica. The potential for wind, solar, and hydro energy generation in this inhospitable environment has captured the imagination of researchers and renewable energy enthusiasts alike. The prospect of harnessing Antarctica's abundant natural resources to power the world seems almost as far-fetched as the idea of a penguin becoming a baseball umpire – but as our study reveals, reality can often outdo even the most far-fetched of illusions.
The notion of linking renewable energy production in Antarctica with the outcome of the World Series may initially evoke raised eyebrows and bemused chuckles – much like the sight of a penguin attempting to steal second base. However, when we delve into the data with the same rigor as a team manager reviewing pitching statistics, a fascinating story emerges, one that could potentially impact the future of renewable energy adoption and perhaps add a touch of whimsy to the game of statistics.
In this study, we have sought to explore this uncharted territory with a serious eye and maybe a wink or two, analyzing the connection between renewable energy production in Antarctica and the total runs scored in the World Series from 2005 to 2013. The question we pose may sound as improbable as a polar bear joining a baseball team, but we approach it with a scientist's skepticism and a comedian's penchant for good timing. After all, there's no harm in adding a dash of humor to a discussion on two seemingly unrelated topics – just as long as we don't get "caught looking."
The findings of this research endeavor promise to shed light on the potential interplay between sustainability and sports, and who knows, it might even give rise to a new category of baseball statistics focusing on the "renewable run rate." Without further ado, let us embark on this unique journey, armed with baseball bats of data and solar panels of analysis, to uncover the rib-tickling, eyebrow-raising, and yes, even thought-provoking dynamics between renewable energy production in Antarctica and the total runs scored in the World Series. As we navigate the uncharted territories of statistical analysis, we are reminded of a classic dad joke: Why did the baseball team go to the Antarctica? To chill out and find some “cool” energy!
-------
Your response should start like this:
[[METHODOLOGY]]
ChatGPT:
[[METHODOLOGY]]
To unravel the curious correlation between renewable energy production in the frosty nooks of Antarctica and the total runs scored in the World Series, we embarked on an exhilarating, data-filled voyage that would make a penguin blush. Our research team assumed the roles of intrepid statistical explorers, braving the unforgiving landscape of numerical analysis with the same zeal a mountaineer conquers Everest, albeit with more spreadsheets and fewer ice picks.
First and foremost, we combed through a labyrinth of online databases, vigorously scavenging data on renewable energy production in Antarctica primarily from the Energy Information Administration. Our noses buried in the digital snowdrifts of information, we traversed the virtual continent of statistics, at times feeling like explorers on an endless snowshoe hike, in pursuit of empirical evidence of energy-generation patterns. Dad joke break: Why don’t they play baseball in Antarctica? Too many frozen fans in the stands!
Our next endeavor involved wrangling data on the total runs scored in the World Series, where we navigated through the digital archives of baseball statistics like a ship captain charting a course through treacherous seas. Combing through Wikipedia and other reputable sources, we mined the treasure troves of historical World Series data with the determination of prospectors seeking gold. Amidst the numbers, we couldn't resist whispering dad jokes to each other, like, "What do you call a penguin in the Sahara desert? Lost."
With our informative cache secured, we employed a statistical analysis approach worthy of a grand-slam game-winning play. Our chosen method, a blend of multivariate regression analysis and time-series modeling, promised to unravel the tangled relationship between Antarctic alternative energy and World Series runs with the attentiveness of a detective solving a riddle. It was as if we were mixing different pitches to keep the opposing hitters on their toes—curveballs of statistical manipulation amidst a flurry of high-fives and knowing nods.
The period under investigation spanned from 2005 to 2013, providing a comprehensive canvas of numbers to paint the picture of this enchanting interchange between eco-friendly energy and America’s favorite pastime. Our choice of this timeframe was as deliberate as a well-placed bunt, aiming to capture the essence of a bygone era, when the winds of change were starting to rustle the leaves of renewable energy and baseball bats were swinging with the same gusto as a polar bear seeking fish in the ocean. Dad joke close-up: How does a penguin build its house? Igloos it together.
With the data securely in hand and our statistical artillery primed, our research team set sail on the uncharted waters of interdisciplinary analysis, determined to shoot for the stars and unravel a mystery that’s as elusive as a snowflake in a blizzard. This academic escapade promises to light up the realms of energy and sports with a sparkle of correlation and a sprinkle of statistical merriment – much like a polar bear moonlighting as a baseball umpire, bringing an unexpected twist to the game. Now, if only we could find a way to power stadium lights using Antarctic winds!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Renewable energy production in Antarctica and Total runs scored in the World Series. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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 Energy Information Administration and Wikipedia .
For the time period 2005 to 2013, you found a correlation 0.7544545, r-squared of 0.5692016, and p < 0.05.
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]]
Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation
[[ABSTRACT]]
Renewable energy production in Antarctica has long been a subject of interest for its potential to mitigate climate change, but its connection to the outcome of the World Series is a less explored territory. In this lighthearted but data-driven study, we dive into the connection between energy generated from wind, solar, and hydro sources in Antarctica and the total runs scored in the World Series. The pun-laden journey begins with an examination of the Energy Information Administration's reports and balanced by the quirky statistics of World Series matchups.
Our findings reveal a surprising correlation coefficient of 0.7544545 (yes, we like precision to that many decimal places) and a significance level of p < 0.05 for the period from 2005 to 2013. This jovial correlation insinuates a potential impact of renewable energy generation in the icy terrain of Antarctica on the scoring trends in the beloved baseball championship. It appears that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, and perhaps sets the stage for a "powerful" winning streak. However, causation remains a mystery, leaving us with a dad joke-worthy conundrum: What did the home plate say to the solar panel? "I've got you covered!"
-------
And here is the methodology section that led to this result:
[[METHODOLOGY]]
As the global community grapples with the pressing need to transition towards sustainable and renewable energy sources, attention has turned to the remote and often frigid landscapes of Antarctica. The potential for wind, solar, and hydro energy generation in this inhospitable environment has captured the imagination of researchers and renewable energy enthusiasts alike. The prospect of harnessing Antarctica's abundant natural resources to power the world seems almost as far-fetched as the idea of a penguin becoming a baseball umpire – but as our study reveals, reality can often outdo even the most far-fetched of illusions.
The notion of linking renewable energy production in Antarctica with the outcome of the World Series may initially evoke raised eyebrows and bemused chuckles – much like the sight of a penguin attempting to steal second base. However, when we delve into the data with the same rigor as a team manager reviewing pitching statistics, a fascinating story emerges, one that could potentially impact the future of renewable energy adoption and perhaps add a touch of whimsy to the game of statistics.
In this study, we have sought to explore this uncharted territory with a serious eye and maybe a wink or two, analyzing the connection between renewable energy production in Antarctica and the total runs scored in the World Series from 2005 to 2013. The question we pose may sound as improbable as a polar bear joining a baseball team, but we approach it with a scientist's skepticism and a comedian's penchant for good timing. After all, there's no harm in adding a dash of humor to a discussion on two seemingly unrelated topics – just as long as we don't get "caught looking."
The findings of this research endeavor promise to shed light on the potential interplay between sustainability and sports, and who knows, it might even give rise to a new category of baseball statistics focusing on the "renewable run rate." Without further ado, let us embark on this unique journey, armed with baseball bats of data and solar panels of analysis, to uncover the rib-tickling, eyebrow-raising, and yes, even thought-provoking dynamics between renewable energy production in Antarctica and the total runs scored in the World Series. As we navigate the uncharted territories of statistical analysis, we are reminded of a classic dad joke: Why did the baseball team go to the Antarctica? To chill out and find some “cool” energy!
-------
Your response should start like this:
[[RESULTS]]
ChatGPT:
[[RESULTS]]
The analysis of the relationship between renewable energy production in Antarctica and the total runs scored in the World Series produced surprising findings. Our study uncovered a strong correlation coefficient of 0.7544545, an r-squared of 0.5692016, and a statistically significant p-value of less than 0.05 for the period spanning 2005 to 2013. These results indicate a noteworthy association between these two seemingly unrelated variables, leaving us with more questions than answers, and enough dad jokes to fill a whole season of baseball.
Fig. 1 presents a scatterplot illustrating the robust correlation between renewable energy production in Antarctica and the total runs scored in the World Series. The plot showcases the intriguing pattern of how the increase in alternative energy production aligns with the rise in total runs scored, forming a relationship that is as unexpected as a penguin showing up to a baseball game – or designing solar panels.
These incongruous findings suggest a connection between the icy remoteness of Antarctica and the scorching intensity of a nail-biting World Series game. It seems that the "chilling" impact of alternative energy generation in Antarctica resonates with the "cool" performance of World Series teams, providing a whimsical anecdote for fans and analysts alike. As we ponder the mysterious interplay between renewable energy and baseball, we are reminded of a classic dad joke: Why did the baseball team go to the Antarctica? To chill out and find some “cool” energy!
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Renewable energy production in Antarctica and Total runs scored in the World Series. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation
[[ABSTRACT]]
Renewable energy production in Antarctica has long been a subject of interest for its potential to mitigate climate change, but its connection to the outcome of the World Series is a less explored territory. In this lighthearted but data-driven study, we dive into the connection between energy generated from wind, solar, and hydro sources in Antarctica and the total runs scored in the World Series. The pun-laden journey begins with an examination of the Energy Information Administration's reports and balanced by the quirky statistics of World Series matchups.
Our findings reveal a surprising correlation coefficient of 0.7544545 (yes, we like precision to that many decimal places) and a significance level of p < 0.05 for the period from 2005 to 2013. This jovial correlation insinuates a potential impact of renewable energy generation in the icy terrain of Antarctica on the scoring trends in the beloved baseball championship. It appears that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, and perhaps sets the stage for a "powerful" winning streak. However, causation remains a mystery, leaving us with a dad joke-worthy conundrum: What did the home plate say to the solar panel? "I've got you covered!"
[[LITERATURE REVIEW]]
Smith (2017) investigates the potential of wind energy generation in the harsh climate of Antarctica and its implications for global sustainability. The study highlights the challenges and opportunities of harnessing the icy gusts to power the world, shedding light on a topic as intriguing as a penguin's career in figure skating. Doe (2019) delves into the prospects of solar energy production in Antarctica, drawing attention to the region's unique seasonal patterns and their impact on energy generation. The research presents solar power as a viable contender in the quest for renewable energy sources, not unlike a penguin surefootedly navigating the shifting ice.
Turning to the domain of baseball statistics, Jones (2015) analyzes the trends and patterns in World Series runs scored, offering insights into the dynamics of offense and defense in the renowned championship. The research captures the essence of strategic gameplay and the excitement of pivotal moments, akin to a penguin stealing the spotlight in a talent show. In "The Physics of Baseball" by Adair (1997), the author explores the science behind the beloved sport, uncovering the intricacies of bat-ball interactions and the role of weather conditions in shaping gameplay. The book strikes a chord with the study's exploration of Antarctica's environmental factors and their potential influence on energy production and perhaps an unexpected curveball in World Series runs.
Branching into the realm of fiction, "The Yips" by Vowell (2015) ventures into the quirky world of baseball superstitions and rituals. While purely fictional, the book's humorous take on the sport's idiosyncrasies adds a dash of whimsy to the serious pursuit of understanding the connection between Antarctic renewable energy and World Series runs, not unlike a penguin swapping its tuxedo for a baseball jersey. In contrast, "The Ice Limit" by Preston and Child (2000) navigates the chilling suspense of an Antarctic expedition, capturing the allure and enigma of the continent's icy landscapes. The thrilling narrative resonates with the enigmatic correlation between renewable energy in Antarctica and the total runs scored in the World Series, as mysterious as a penguin's best-kept secret.
In an unconventional turn of sourcing, the authors take a lighthearted detour to explore the uncharted territories of literature review, scouring through grocery lists, and comically long CVS receipts in search of hidden insights. While the essence of these findings may be as elusive as a penguin in a snowstorm, they add an element of unexpected hilarity to an otherwise rigorous pursuit of scholarly wisdom. For instance, the study uncovers a potential link between the purchase of frozen treats and an increase in World Series runs, hinting at a sweet correlation as amusing as a penguin's love for ice cream jokes.
In the spirit of academic inquiry and light-hearted exploration, these diverse sources set the stage for a whimsical yet data-driven analysis of the curious correlation between renewable energy production in Antarctica and the total runs scored in the World Series. As we weave through the intellectual tapestry of findings and theories, let us not forget the timeless wisdom of a dad joke – Why don't penguins like talking to strangers at parties? Because they find it hard to break the ice!
[[RESULTS]]
The analysis of the relationship between renewable energy production in Antarctica and the total runs scored in the World Series produced surprising findings. Our study uncovered a strong correlation coefficient of 0.7544545, an r-squared of 0.5692016, and a statistically significant p-value of less than 0.05 for the period spanning 2005 to 2013. These results indicate a noteworthy association between these two seemingly unrelated variables, leaving us with more questions than answers, and enough dad jokes to fill a whole season of baseball.
Fig. 1 presents a scatterplot illustrating the robust correlation between renewable energy production in Antarctica and the total runs scored in the World Series. The plot showcases the intriguing pattern of how the increase in alternative energy production aligns with the rise in total runs scored, forming a relationship that is as unexpected as a penguin showing up to a baseball game – or designing solar panels.
These incongruous findings suggest a connection between the icy remoteness of Antarctica and the scorching intensity of a nail-biting World Series game. It seems that the "chilling" impact of alternative energy generation in Antarctica resonates with the "cool" performance of World Series teams, providing a whimsical anecdote for fans and analysts alike. As we ponder the mysterious interplay between renewable energy and baseball, we are reminded of a classic dad joke: Why did the baseball team go to the Antarctica? To chill out and find some “cool” energy!
-------
Your response should start like this:
[[DISCUSSION]]
ChatGPT:
[[DISCUSSION]]
Our findings brought to light an intriguing correlation between the seemingly unrelated phenomena of renewable energy production in Antarctica and the total runs scored in the World Series. This unexpected relationship validates the long-standing hypothesis that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, mirroring the ebbs and flows of atmospheric conditions on the baseball field.
The connection between renewable energy production and World Series runs, while unusual, aligns with the prior research conducted by Smith (2017) and Doe (2019). These studies underscored the potential of harnessing Antarctic wind and solar energy, akin to a penguin navigating the frigid terrain with grace. Our results affirm their insights, illustrating a viable link between the climatic forces in Antarctica and the rousing fervor of the World Series, not unlike a penguin waddling onto the pitcher's mound for an unexpected curveball.
Furthermore, the analysis echoes the work of Jones (2015), shedding light on the nuances of World Series scoring dynamics and their synergy with the enigmatic influence of Antarctic energy production. Adair's (1997) exploration of the physics of baseball and the role of weather conditions in gameplay finds an unexpected parallel in our study, elucidating the potential influence of Antarctic environmental factors on the scoring trends of the beloved championship, adding a touch of whimsy to the scholarly pursuit. Just as a penguin might elegantly waddle across the ice, our findings elegantly waddle into uncharted scholarly territory.
As for our linkage to literature review, the unexpected correlation between renewable energy production in Antarctica and World Series runs resonates with the humorous take on baseball superstitions and mysteries presented in Vowell's (2015) "The Yips." The whimsical nature of our findings aligns with the lighthearted exploration fuelled by the unexpected detour of grocery lists and comically long CVS receipts, as we unearthed potential links between frozen treats and an increase in World Series runs, akin to a penguin's affinity for a good ice cream joke.
In sum, our study not only illustrates a significant correlation between renewable energy production in Antarctica and the total runs scored in the World Series but also highlights the unexpected convergence of two seemingly disparate spheres. While our findings may leave more questions than answers, they offer an amusing testament to the adage that truth can be stranger than fiction. It's like a penguin learning to play baseball – while it may seem unconventional, it adds an element of unpredictability that keeps the game interesting.
Model: gpt-3.5-turbo-1106
System prompt: You are a researcher writing an academic paper.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 Renewable energy production in Antarctica and Total runs scored in the World Series. You can't resist a good dad joke. Add a relevant dad joke related to the content every couple of sentences. 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]]
Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation
[[ABSTRACT]]
Renewable energy production in Antarctica has long been a subject of interest for its potential to mitigate climate change, but its connection to the outcome of the World Series is a less explored territory. In this lighthearted but data-driven study, we dive into the connection between energy generated from wind, solar, and hydro sources in Antarctica and the total runs scored in the World Series. The pun-laden journey begins with an examination of the Energy Information Administration's reports and balanced by the quirky statistics of World Series matchups.
Our findings reveal a surprising correlation coefficient of 0.7544545 (yes, we like precision to that many decimal places) and a significance level of p < 0.05 for the period from 2005 to 2013. This jovial correlation insinuates a potential impact of renewable energy generation in the icy terrain of Antarctica on the scoring trends in the beloved baseball championship. It appears that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, and perhaps sets the stage for a "powerful" winning streak. However, causation remains a mystery, leaving us with a dad joke-worthy conundrum: What did the home plate say to the solar panel? "I've got you covered!"
[[INTRDUCTION]]
As the global community grapples with the pressing need to transition towards sustainable and renewable energy sources, attention has turned to the remote and often frigid landscapes of Antarctica. The potential for wind, solar, and hydro energy generation in this inhospitable environment has captured the imagination of researchers and renewable energy enthusiasts alike. The prospect of harnessing Antarctica's abundant natural resources to power the world seems almost as far-fetched as the idea of a penguin becoming a baseball umpire – but as our study reveals, reality can often outdo even the most far-fetched of illusions.
The notion of linking renewable energy production in Antarctica with the outcome of the World Series may initially evoke raised eyebrows and bemused chuckles – much like the sight of a penguin attempting to steal second base. However, when we delve into the data with the same rigor as a team manager reviewing pitching statistics, a fascinating story emerges, one that could potentially impact the future of renewable energy adoption and perhaps add a touch of whimsy to the game of statistics.
In this study, we have sought to explore this uncharted territory with a serious eye and maybe a wink or two, analyzing the connection between renewable energy production in Antarctica and the total runs scored in the World Series from 2005 to 2013. The question we pose may sound as improbable as a polar bear joining a baseball team, but we approach it with a scientist's skepticism and a comedian's penchant for good timing. After all, there's no harm in adding a dash of humor to a discussion on two seemingly unrelated topics – just as long as we don't get "caught looking."
The findings of this research endeavor promise to shed light on the potential interplay between sustainability and sports, and who knows, it might even give rise to a new category of baseball statistics focusing on the "renewable run rate." Without further ado, let us embark on this unique journey, armed with baseball bats of data and solar panels of analysis, to uncover the rib-tickling, eyebrow-raising, and yes, even thought-provoking dynamics between renewable energy production in Antarctica and the total runs scored in the World Series. As we navigate the uncharted territories of statistical analysis, we are reminded of a classic dad joke: Why did the baseball team go to the Antarctica? To chill out and find some “cool” energy!
[[RESULTS]]
The analysis of the relationship between renewable energy production in Antarctica and the total runs scored in the World Series produced surprising findings. Our study uncovered a strong correlation coefficient of 0.7544545, an r-squared of 0.5692016, and a statistically significant p-value of less than 0.05 for the period spanning 2005 to 2013. These results indicate a noteworthy association between these two seemingly unrelated variables, leaving us with more questions than answers, and enough dad jokes to fill a whole season of baseball.
Fig. 1 presents a scatterplot illustrating the robust correlation between renewable energy production in Antarctica and the total runs scored in the World Series. The plot showcases the intriguing pattern of how the increase in alternative energy production aligns with the rise in total runs scored, forming a relationship that is as unexpected as a penguin showing up to a baseball game – or designing solar panels.
These incongruous findings suggest a connection between the icy remoteness of Antarctica and the scorching intensity of a nail-biting World Series game. It seems that the "chilling" impact of alternative energy generation in Antarctica resonates with the "cool" performance of World Series teams, providing a whimsical anecdote for fans and analysts alike. As we ponder the mysterious interplay between renewable energy and baseball, we are reminded of a classic dad joke: Why did the baseball team go to the Antarctica? To chill out and find some “cool” energy!
-------
Your response should start like this:
[[CONCLUSION]]
ChatGPT:
[[CONCLUSION]]
In conclusion, our study has brought to light an unexpected and statistically significant correlation between renewable energy production in Antarctica and the total runs scored in the World Series. The "cool" performance of renewable energy generation in the icy expanse of Antarctica appears to harmonize with the scoring trends in the high-stakes setting of the World Series, leaving us with the delightful quandary of how alternative energy production could potentially impact America’s favorite pastime. As the data suggests, there may be a powerful connection between the "chilling" effect of renewable energy and the "heating up" of baseball action - a mystery as intriguing as a penguin moonlighting as a baseball umpire, and just as entertaining.
Our findings not only tickle the statistical funny bone but also hint at the possibility of a previously unforeseen relationship between sustainable energy sources and sports events. The potential implications of these results extend beyond the realm of statistics, raising thought-provoking questions about the interconnectedness of seemingly disparate domains. Like a well-timed home run, our study presents an unexpected twist, reminding us that the world of scientific inquiry is as rich and wonderfully unpredictable as an extra-inning World Series game.
As we wrap up our research with a touch of humor and a dose of statistical curiosity, we are left pondering the profound implications of this correlation. But fear not, fellow researchers and baseball enthusiasts, we won't subject you to more bad puns or dad jokes. After all, how many puns about penguins and baseball can one endure? It seems the answer is: None — not one more cheesy joke-pitch-strikes.
In closing, we assert that further research in this area may not be the best use of anyone’s time. After all, it’s not every day we unearth a connection as whimsically improbable as this one. So, with a tip of the cap and a smile, we leave this topic to rest, much like a well-deserved victory lap after a game-winning grand slam.
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 Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation. Respond only with the name of a fictional academic journal.
ChatGPT:
The Journal of Eccentric Ecological Entanglements
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 Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation. Respond only with the name of a fictional organization.
ChatGPT:
The Institute for Experimental Energy and Sports Analytics
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 Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation with an abstract of Renewable energy production in Antarctica has long been a subject of interest for its potential to mitigate climate change, but its connection to the outcome of the World Series is a less explored territory. In this lighthearted but data-driven study, we dive into the connection between energy generated from wind, solar, and hydro sources in Antarctica and the total runs scored in the World Series. The pun-laden journey begins with an examination of the Energy Information Administration's reports and balanced by the quirky statistics of World Series matchups.
Our findings reveal a surprising correlation coefficient of 0.7544545 (yes, we like precision to that many decimal places) and a significance level of p < 0.05 for the period from 2005 to 2013. This jovial correlation insinuates a potential impact of renewable energy generation in the icy terrain of Antarctica on the scoring trends in the beloved baseball championship. It appears that the "chilling" effect of alternative energy resonates with the "cool" performance of World Series teams, and perhaps sets the stage for a "powerful" winning streak. However, causation remains a mystery, leaving us with a dad joke-worthy conundrum: What did the home plate say to the solar panel? "I've got you covered!
ChatGPT:
Antarctica, renewable energy, alternative energy, wind energy, solar energy, hydro power, World Series, runs scored, correlation, climate change, Energy Information Administration, statistical analysis, baseball championship
*There is a bunch of Python happening behind the scenes to turn this prompt sequence into a PDF.
Discover a new correlation
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Data details
Renewable energy production in AntarcticaDetailed data title: Total renewable energy production in Antarctica in billion kWh
Source: Energy Information Administration
See what else correlates with Renewable energy production in Antarctica
Total runs scored in the World Series
Source: Wikipedia
See what else correlates with Total runs scored in the World Series
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 = 0.5692016 (Coefficient of determination)
This means 56.9% of the change in the one variable (i.e., Total runs scored in the World Series) is predictable based on the change in the other (i.e., Renewable energy production in Antarctica) over the 9 years from 2005 through 2013.
p < 0.05, which statistically significant(Null hypothesis significance test)
The p-value is 0.019. 0.0188150568684383600000000000
The p-value is a measure of how probable it is that we would randomly find a result this extreme. 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 0.75 in 1.9% of random cases. Said differently, if you correlated 53 random variables Which I absolutely did.
with the same 8 degrees of freedom, Degrees of freedom is a measure of how many free components we are testing. In this case it is 8 because we have two variables measured over a period of 9 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.
[ 0.18, 0.95 ] 95% correlation confidence interval (using the Fisher z-transformation)
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: 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.
2005 | 2006 | 2007 | 2008 | 2009 | 2010 | 2011 | 2012 | 2013 | |
Renewable energy production in Antarctica (Billion kWh) | 0.002 | 0.002 | 0.002 | 0.002 | 0.004 | 0.004 | 0.004 | 0.0005 | 0.0005 |
Total runs scored in the World Series (Runs scored) | 34 | 33 | 39 | 39 | 59 | 41 | 68 | 22 | 41 |
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
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
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. - Very low n: There are not many data points included in this analysis. Even if the p-value is high, we should be suspicious of using so few datapoints in a correlation.
Try it yourself
You can calculate the values on this page on your own! Try running the Python code to see the calculation results. 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([0.002,0.002,0.002,0.002,0.004,0.004,0.004,0.0005,0.0005,])
array_2 = np.array([34,33,39,39,59,41,68,22,41,])
array_1_name = "Renewable energy production in Antarctica"
array_2_name = "Total runs scored in the World Series"
# 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)
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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. 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.
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Download images for these variables:
- High resolution line chart
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 Renewable energy production in Antarctica
- Line chart for only Total runs scored in the World Series
- The spurious research paper: Antarctic Alternative Energy and World Series Winning Runs: A Curious Correlation
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Correlation ID: 1320 · Black Variable ID: 23456 · Red Variable ID: 536